In a development that could reshape how scientists study the mechanics of human movement, a team of biomedical engineers and computer scientists has unveiled an open-source software tool capable of tracking the tiny, intricate bones of the wrist as they glide and rotate during motion. The new tool, called Hierarchical 3D Registration, or 3DH, is a module within the SlicerAutoscoperM extension of the widely used 3DSlicer computing environment. Described in a study published in BioMedical Engineering OnLine, the software was validated against previously established methods using both sequential three-dimensional computed tomography, or 3DCT, scans of living participants performing thumb tasks and dynamic four-dimensional CT, or 4DCT, images of cadaveric wrists moving through flexion and extension. The results demonstrate that the open-source approach can match the accuracy of independent, previously published methodologies while offering researchers everywhere a free and reproducible path to quantifying skeletal kinematics.

The wrist has long been one of the most challenging joints for biomechanists to study. It contains eight small carpal bones, including the scaphoid and lunate, along with the radius of the forearm and the metacarpal bones of the hand, all articulating in a tightly packed arrangement that allows the remarkable range of motion humans rely on every day. Understanding how these bones move relative to one another, a field of study known as arthrokinematics, is essential for unraveling the causes of wrist instability, osteoarthritis, ligament injuries and the long-term outcomes of surgical repairs. Yet measuring those movements in living, moving joints has historically required either invasive techniques, labor-intensive manual analysis or proprietary software that few laboratories can access or verify.

Quantitative tracking of skeletal structures in vivo, with both efficiency and high temporal resolution, matters to a wide range of questions in biomechanical research, and the authors of the new study argue that the field has been held back by a shortage of accessible, semi-automated registration tools. Image registration, the computational process of aligning one three-dimensional image volume to another, lies at the heart of motion tracking from CT data. When a bone moves between two scans, its position and orientation change, and a registration algorithm must find the transformation that best overlays the bone’s image from one time point onto the next. Done well, this yields precise measurements of rotation and translation. Done poorly or inconsistently, it introduces errors that can swamp the small movements of carpal bones, which may shift by only a few millimeters and a few degrees during normal function.

The new 3DH module addresses this problem with a hierarchical strategy for registering bones across sequences of image volumes. The researchers presented and evaluated the software using two distinct classes of data drawn from previous studies. The first consisted of sequential 3DCT datasets of human participants performing various thumb tasks, in which the radius, the first metacarpal and the trapezium were the target bones. The second consisted of dynamic 4DCT datasets capturing simulated flexion-extension motion in cadaveric wrists, providing time-resolved, three-dimensional image volumes of the scaphoid and lunate in motion. By testing the tool on both static sequential scans and true dynamic imaging, the team was able to demonstrate that 3DH is not limited to a single imaging paradigm but can serve as a unified tracking solution across modalities.

To determine whether the new open-source tool could be trusted, the investigators compared the arthrokinematics computed with 3DH against values that had been previously calculated using independent approaches for the same 3DCT and 4DCT datasets. The statistical framework for this comparison was the Bland-Altman analysis, a standard method for assessing agreement between two measurement techniques. Rather than simply correlating the two sets of results, Bland-Altman analysis quantifies the mean bias, the systematic difference between methods, and the 95 percent limits of agreement, the range within which most individual differences between the methods are expected to fall. This approach is particularly well suited to method-comparison studies because it reveals whether a new technique introduces systematic error and how widely individual measurements might deviate from those of the established gold standard.

The performance figures reported in the study are striking. For the 3DCT data, in which the radius, first metacarpal and trapezium were tracked, the mean bias for the helical angle, a single-axis description of three-dimensional rotation, was just minus 0.06 degrees, with 95 percent limits of agreement ranging between minus 1.87 degrees and 1.74 degrees. Translation measurements fared nearly as well: the mean bias was 0.12 millimeters, with limits of agreement spanning from minus 2.23 millimeters to 2.00 millimeters. In practical terms, the open-source tool reproduced the rotational and translational measurements of the earlier methods to within roughly two degrees and two millimeters at the extremes, differences small enough to preserve the biological signal in most wrist kinematics experiments.

The dynamic 4DCT results told a similar story for the carpal bones. Tracking the scaphoid and lunate through simulated flexion-extension, 3DH produced mean biases of the Euler angle rotations, which decompose three-dimensional rotation into three orthogonal components, of less than 0.77 degrees about any direction. The widest 95 percent limits of agreement ranged between minus 7.11 degrees and 8.65 degrees. For translations, mean biases were less than 0.5 millimeters in any direction, with the widest limits of agreement ranging between minus 2.36 millimeters and 1.43 millimeters. The wider limits of agreement for rotations in the dynamic data likely reflect the added challenges of time-resolved imaging, including motion blur and the smaller, more complexly shaped carpal bones, but the near-zero mean biases indicate that the tool does not systematically drift away from established values.

Crucially, all target bones were successfully tracked in both the 3DCT and 4DCT datasets, meaning the hierarchical registration algorithm converged on correct solutions in every case tested. This robustness matters because registration algorithms can occasionally fail, locking onto incorrect alignments or diverging entirely, and such failures typically demand time-consuming manual intervention. A semi-automated tool that reliably succeeds across diverse bones, motion tasks and imaging protocols removes a significant bottleneck. Manual bone tracking in CT volume sequences can take hours per bone per trial, and the labor multiplies rapidly in studies involving multiple participants, multiple bones and dozens of motion cycles. By automating this process within a validated framework, 3DH promises to accelerate the pace at which wrist biomechanics data can be collected and analyzed.

The choice to build the module inside 3DSlicer, and specifically within the SlicerAutoscoperM extension, is a deliberate strategic decision with implications well beyond the wrist. 3DSlicer is a free, open-source platform for medical image computing and visualization with a large international user base spanning research, clinical and educational communities. By embedding 3DH in this ecosystem, the developers have made the tool immediately available to any laboratory already working with 3DSlicer, complete with the platform’s established infrastructure for loading DICOM data, segmenting anatomical structures and visualizing results. The authors note that the ability to track bones from both 3DCT and 4DCT data sources, with agreement to prior methodologies, demonstrates that the 3DH approach is a capable tool that could promote collaboration and consistency of results through open-source software.

Consistency is a quietly urgent issue in biomechanics. When different laboratories use different proprietary tools with undisclosed algorithms, it becomes difficult to distinguish true biological differences between study populations from mere methodological discrepancies. Open-source registration changes that calculus: the code can be inspected, verified, extended and reused, and results from different institutions become directly comparable because they are produced by identical algorithms. This transparency also lowers the barrier to entry for research groups in settings that cannot afford commercial licenses, potentially broadening the global community capable of conducting rigorous skeletal kinematics research.

The study itself emerged from a collaboration spanning several institutions. The team included Joseph J. Crisco, Amy M. Morton and John D. Holtgrewe of the Department of Orthopedics at The Warren Alpert Medical School of Brown University and Rhode Island Hospital; Cesar Lopez, Andrew Thoreson and Kristin D. Zhao of the Assistive and Restorative Technology Laboratory and the Department of Physical Medicine and Rehabilitation at the Mayo Clinic in Rochester, Minnesota; and Jean-Christophe Fillion-Robin and Beatriz Paniagua of Kitware Inc. in Clifton Park, New York. The involvement of Kitware, a company known for its leadership in open-source scientific computing, underscores the blend of academic rigor and software engineering expertise required to produce a research tool robust enough for widespread distribution. Funding was provided by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health under award numbers AR059185, AR078924 and AR071338.

The implications of this work extend naturally to the future of musculoskeletal imaging. As newer CT technologies, including photon-counting detector systems, deliver ever-finer spatial resolution and as dynamic 4DCT becomes more widely available, the volume of image data available for kinematic analysis will grow dramatically. Tools like 3DH, which are fast, semi-automated and validated across modalities, will be essential for converting that imaging bounty into quantitative biomechanical knowledge. For patients with wrist disorders, the downstream promise is equally tangible: better measurements of how carpal bones actually move in living joints can inform more accurate diagnoses, improved surgical planning, more realistic computational models of joint loading and ultimately better-designed treatments for conditions ranging from scapholunate instability to thumb-base arthritis. With the tool now openly available in the 3DSlicer environment, researchers around the world can begin putting it to work.

Long-term exposure to common air pollutants may significantly raise the risk of developing substance use disorders, while living surrounded by greenery appears to offer a measure of protection, according to a large new population-based study drawing on nearly a quarter of a million participants from the UK Biobank.

The research, published in BMC Psychiatry, analyzed data from 247,138 UK Biobank participants who were free of substance use disorders at baseline, tracking them over a median follow-up period of 10.9 years. During that time, 4,982 participants went on to develop a substance use disorder, providing the researchers with a robust dataset to examine the relationship between environmental exposures and mental health outcomes.

The study, led by Huan Liu and Bolun Cheng of Xi’an Jiaotong University in China, along with colleagues including Feng Zhang, represents one of the most comprehensive investigations to date into how the air people breathe and the greenness of their neighborhoods may influence vulnerability to addiction. The findings arrive at a moment when urban planners and public health officials are increasingly recognizing that the built and natural environments shape health in ways that extend well beyond respiratory and cardiovascular disease.

To assess air pollution exposure, the team employed Land Use Regression modeling to estimate concentrations of five pollutants at each participant’s residential address: fine particulate matter known as PM2.5, coarse particulate matter classified as PM2.5−10, the larger particulate fraction PM10, nitrogen dioxide (NO2), and nitrogen oxides (NOX). These pollutants, produced primarily by traffic, industry, and combustion sources, have long been associated with a range of physical health problems, but their role in psychiatric and behavioral conditions has remained far less certain.

For residential greenness, the researchers turned to the 2005–2007 Land Cover Map, measuring three distinct aspects of the environment within a 300-meter buffer around each home: the proportion of green space, the presence of a domestic garden, and the extent of natural environment. This tripartite approach allowed the investigators to distinguish between different types of vegetation and their potentially different effects on health.

Using Cox proportional hazards models, the team calculated hazard ratios with 95 percent confidence intervals to quantify the association between each exposure and the risk of developing a substance use disorder. The results were striking in their consistency. All five air pollutants were positively associated with incident SUD in fully adjusted models that controlled for a wide range of potential confounders.

Fine particulate matter, or PM2.5, showed the strongest effect, with a hazard ratio of 1.111 (95 percent CI: 1.081–1.142), followed by PM10 with a hazard ratio of 1.070 (95 percent CI: 1.054–1.086). These figures indicate that higher exposure to particulate pollution was associated with a measurable increase in the likelihood of developing a substance use disorder over the follow-up period, even after accounting for demographic, socioeconomic, and behavioral factors.

On the protective side of the ledger, two of the three greenness measures emerged as significant. Green space was inversely associated with SUD risk, showing a hazard ratio of 0.997 (95 percent CI: 0.996–0.998), and the natural environment measure produced an identical finding, with a hazard ratio of 0.997 (95 percent CI: 0.995–0.998). While these effect sizes appear modest on a per-unit basis, they represent population-level signals across a very large cohort, suggesting that even incremental increases in neighborhood greenness may contribute to reduced vulnerability.

Perhaps the most intriguing finding of the study concerns the interaction between pollution and greenery. The researchers tested whether residential greenness modified the association between air pollutants and SUD risk by introducing cross-product terms into their models and evaluating them with likelihood-ratio tests. The results pointed to a buffering role for domestic gardens specifically. Among participants in the high-exposure subgroup, the presence of a domestic garden attenuated the positive associations between pollutants and SUD, with cross-product terms of 0.979 (95 percent CI: 0.963–0.996) for PM2.5 and 0.987 (95 percent CI: 0.980–0.995) for PM10.

In practical terms, this suggests that having access to a private garden may partially offset some of the harm associated with living in areas of elevated particulate pollution, offering a form of environmental resilience that public health advocates have long hypothesized but rarely demonstrated with prospective cohort data.

The associations were not uniform across the population. The positive relationships between air pollution and substance use disorder risk were most pronounced among males, participants aged 65 and older, and individuals with a history of smoking. These findings highlight the importance of considering demographic and behavioral modifiers when assessing the health consequences of environmental exposures, and they suggest that certain subgroups may benefit disproportionately from interventions aimed at reducing pollution or increasing green cover.

To ensure the robustness of their findings, the team conducted a series of sensitivity analyses. These included restricting the sample to long-term residents to minimize exposure misclassification from relocation, using alternative outcome definitions based on ICD-10 codes F10-F19 and F11-F19 to capture different ranges of substance-related diagnoses, and recomputing greenness measures at a wider 1000-meter buffer around each residence. The core conclusions held across these variations, strengthening confidence in the results.

The study was performed in accordance with the ethical principles of the Declaration of Helsinki and was registered with the UK Biobank under application number 46478. Ethical approval for the UK Biobank was granted by the North West Multi-centre Research Ethics Committee under approval reference 11/NW/0382. All participants provided written informed consent before any study-related procedures were initiated.

The work was supported by the China Postdoctoral Science Foundation, the Natural Science Basic Research Plan in Shaanxi Province of China, and the Fundamental Research Funds for the Central Universities. Corresponding authors are Bolun Cheng and Feng Zhang, both affiliated with Xi’an Jiaotong University, with Zhang also holding a position in the Department of Psychiatry at the First Affiliated Hospital of Xi’an Jiaotong University.

The findings come amid growing scientific interest in the neurological and psychiatric consequences of air pollution. Particulate matter, particularly PM2.5, is small enough to cross the blood-brain barrier and has been implicated in neuroinflammation, oxidative stress, and alterations in brain structure and function. These biological mechanisms could plausibly influence reward processing, impulse control, and stress reactivity, all of which are central to the development and perpetuation of substance use disorders.

Conversely, greenness has been associated with stress reduction, improved mental well-being, greater opportunities for physical activity and social interaction, and lower levels of psychological distress, each of which may buffer against the onset of addictive behaviors. The current study adds a significant piece of evidence to this emerging picture by demonstrating the relationship prospectively in one of the world’s largest and most deeply phenotyped biobanks.

The authors conclude that long-term exposure to ambient air pollutants was associated with a higher risk of incident substance use disorders and that residential greenness showed protective associations, with the most pronounced patterns observed among older males and individuals with a smoking history. They argue that the findings support integrating greenness exposure into environmental frameworks for the prevention of substance use disorders, a recommendation that carries implications for urban design, housing policy, and environmental regulation.

As cities around the world continue to grapple with the twin challenges of air quality and mental health, studies of this scale provide an evidence base for interventions that address both simultaneously. The prospect that something as tangible as a garden could offer measurable protection against the psychiatric consequences of polluted air adds a compelling dimension to ongoing debates about how the environments we build shape the minds that inhabit them.

The article is published open access under a Creative Commons Attribution 4.0 International License, permitting broad sharing and adaptation with appropriate credit to the original authors and source. It was received on 08 December 2025, accepted on 28 August 2026, and published on 09 September 2026.

In one of the most comprehensive investigations of its kind, researchers have taken a major step toward untangling the biology underlying suicide risk, moving the field beyond long-standing debates about whether suicidal behavior is simply a consequence of psychiatric illness. By integrating large-scale genetic data with cutting-edge approaches that map how genes act in specific brain cells and circuits, an international team has identified shared genetic liability that cuts across psychiatric diagnoses while also pinpointing druggable biological pathways that could one day inform prevention strategies. The study, published in Translational Psychiatry, offers a sweeping synthesis of how inherited risk factors may translate into molecular vulnerabilities, and it does so with a level of resolution that previous candidate-gene approaches could never achieve.

Suicide remains one of the leading causes of death worldwide, claiming more than 700,000 lives each year according to global health estimates. Despite decades of research, clinical prediction remains stubbornly imprecise, and biological models of suicidal behavior have historically been hampered by small sample sizes, inconsistent findings, and a tendency to conflate suicide risk with the psychiatric disorders with which it so often co-occurs. Major depression, bipolar disorder, schizophrenia, and substance use disorders all carry elevated suicide risk, yet most people with these conditions never attempt suicide, while some individuals who die by suicide have no diagnosed psychiatric illness at all. This paradox has long suggested to researchers that suicidal behavior may possess partially distinct biological underpinnings, and the new study set out to test that hypothesis with unprecedented statistical power.

At the heart of the work lies genome-wide association study methodology, or GWAS, which scans hundreds of thousands to millions of genetic variants spread across the entire genome in very large groups of people, comparing individuals who have experienced suicidal thoughts or behaviors with those who have not. Each variant is tested for statistical association with the outcome, and the results can be combined into polygenic risk scores, numerical summaries of a person’s inherited liability based on the cumulative small effects of thousands of variants. Because no single common variant exerts a large effect, the field depends on aggregating data across massive biobanks and cohorts, a strategy that has only become feasible in the past decade as datasets containing hundreds of thousands of individuals became available.

The research team took particular care to address a central confound: psychiatric disorders themselves are highly heritable, and any genetic signal linked to suicide could simply reflect inherited liability to depression or schizophrenia rather than to suicide specifically. To disentangle this, the investigators applied sophisticated statistical techniques, including genetic correlation analysis and conditional modeling, which allow researchers to ask how much genetic overlap remains between suicidal behavior and psychiatric conditions after accounting for their shared heritability. Their findings revealed a complex architecture. Substantial genetic correlations confirmed that suicide risk shares a meaningful fraction of its inherited basis with major psychiatric disorders, supporting the idea of a common pool of genetic liability. Yet the analyses also uncovered signals that persisted beyond what could be explained by those disorders, pointing to biological mechanisms that may be more specific to the emergence of suicidal thoughts and actions.

A key conceptual innovation of the study is its framing of “shared genetic liability” as a bridge between diagnoses. Rather than treating suicide as an epiphenomenon of any single disorder, the researchers modeled it as a transdiagnostic phenomenon, one whose risk emerges partly from inherited vulnerabilities that cut across diagnostic categories. This perspective aligns with a growing movement in biological psychiatry that emphasizes symptom dimensions and mechanisms over traditional diagnostic boundaries. From this vantage point, the genetic variants that raise risk for depression, PTSD, and schizophrenia may do so partly because they converge on shared molecular pathways, and those same pathways may govern an individual’s threshold for suicidal crises regardless of which diagnosis they carry.

Identifying genetic variants, however, is only the first step. A GWAS signal typically points to a genomic region rather than a specific causal gene or mechanism, since many associated variants fall in non-coding stretches of DNA that regulate gene activity from a distance. To translate statistical associations into biological insight, the team deployed a battery of functional genomics approaches. Transcriptome-wide association studies, known as TWAS, integrate gene expression data to identify genes whose genetically predicted expression levels are linked to suicide risk. Tissue and cell-type enrichment analyses then ask whether the implicated genes are unusually active in particular organs or cell populations. The results converged strikingly on brain tissue, and more specifically on neuronal populations, providing support for the idea that inherited suicide risk is mediated largely through gene regulation within the central nervous system.

The study’s most clinically provocative findings concern druggable biology. Using databases that catalog the protein targets of approved and investigational medications, the researchers examined whether genes implicated in suicide risk were over-represented among known drug targets. The analysis identified several classes of candidate targets, including components of neurotransmitter signaling systems, ion channels, and intracellular signaling cascades that are already the focus of pharmacological development for other conditions. This “druggable genome” approach, which has gained traction in genetics research across many diseases, offers a pragmatic shortcut for translational science: rather than waiting decades for entirely new therapeutic classes to be invented, researchers can prioritize existing or in-development compounds whose molecular targets intersect with genetically implicated pathways.

Among the pathways receiving attention in the analysis were those involving glutamatergic and GABAergic neurotransmission, the primary excitatory and inhibitory systems of the brain, which have repeatedly surfaced in studies of mood disorders and stress response. The endocannabinoid system and inflammatory signaling pathways also appeared in the convergent analyses, consistent with a broader literature linking immune dysregulation and allostatic load to suicidal ideation. Importantly, the authors emphasize that these findings identify hypotheses rather than ready-made treatments. Genetic association with a drug target does not guarantee that modulating that target will reduce suicide risk, and any therapeutic application would require extensive preclinical validation and carefully designed clinical trials. Nevertheless, the work provides a principled, data-driven map for where to look, replacing decades of largely failed candidate-gene speculation with a genome-wide evidence base.

The methodological rigor underpinning the study deserves emphasis, because the genetics of suicidal behavior has a troubled history. Early candidate-gene studies, which typically examined a handful of variants in genes related to serotonin signaling, produced findings that largely failed to replicate and in some cases were later shown to reflect statistical artifacts, small samples, and publication bias. The field has since undergone a reckoning, and modern efforts adhere to far stricter standards: preregistered analyses, very large and ancestrally diverse cohorts, replication in independent samples, and conservative multiple-testing corrections that demand genome-wide significance thresholds on the order of five times ten to the negative eighth power. The new study reflects these lessons, applying sensitivity analyses to guard against confounding from psychiatric comorbidity and examining whether findings generalize across ancestral groups, an issue of considerable importance given that most genetic discovery to date has been conducted in populations of European ancestry.

The implications for clinical practice, while still distant, are worth considering. Polygenic risk scores for suicide-related outcomes currently explain only a small fraction of individual differences in risk, far too little to be used as stand-alone screening tools, and their predictive performance is degraded in populations not represented in the discovery data. Researchers in the field are careful to stress that genetic risk is not destiny: suicidal behavior arises from an intricate interplay of inherited vulnerability, mental illness, trauma, substance use, social isolation, access to lethal means, and the availability of support. What genetics offers is not a crystal ball but a window into mechanism, and mechanistic knowledge is the raw material from which better biomarkers, risk stratification tools, and ultimately targeted interventions are built. In the near term, the druggable pathway findings are most valuable as a guide for laboratory science, directing neurobiologists toward molecular systems whose manipulation might alter suicide-relevant phenotypes in animal models and cellular assays.

Looking forward, the study signals where the field must go next. Sample sizes for suicide-specific genetic analyses remain smaller than those for major psychiatric disorders, and expanding representation across ancestries is essential if the benefits of this research are to be shared equitably. Integrating genetic data with longitudinal measures of life stress, neural imaging, and digital phenotyping may eventually allow researchers to model how inherited liability interacts with environmental triggers across the lifespan. Functional experiments in induced pluripotent stem cell-derived neurons and brain organoids could test whether the implicated genes genuinely alter stress-response circuitry or resilience. And randomized trials in patients carrying high genetic liability, though ethically and logistically complex, represent the logical endpoint of the druggable-target approach.

What the study ultimately delivers is a reframe. Suicide risk, in this analysis, is not an amorphous clinical outcome but a measurable, partly heritable trait whose genetic architecture is now being resolved with the same tools that have transformed our understanding of heart disease, diabetes, and schizophrenia. By demonstrating that shared genetic liability links suicide risk across diagnostic boundaries and by mapping that liability onto specific, pharmacologically tractable biology, the researchers have converted a long-standing clinical puzzle into a concrete research agenda. The path from genetic correlation to effective prevention is long, and no genetic finding will soon replace the human work of crisis intervention, connection, and care. But for a problem that has defied biological explanation for generations, the identification of shared, druggable mechanisms represents a genuine and hard-won advance, one that may shape suicide research for years to come.

Nearly every displaced woman in Gaza surveyed in a new study screened positive for severe post-traumatic stress symptoms, a finding researchers describe as an unprecedented psychological toll linked directly to hunger, overcrowded displacement, and the collapse of everyday life under war.

The study, published in the International Journal for Equity in Health, assessed 503 displaced women in the Gaza Strip during the 2023–2025 war using a mixed-methods design that combined a structured quantitative survey with in-depth qualitative interviews. The average participant was 29.4 years old, with a standard deviation of 7.3 years, and the majority were married, unemployed, and living below the deep poverty line. Most had been displaced for nearly a year, and the overwhelming majority were sheltering in tents under conditions of severe overcrowding and acute food shortage.

When researchers measured post-traumatic stress symptoms using the Impact of Event Scale–Revised, a widely used screening instrument that evaluates intrusion, avoidance, and hyperarousal symptoms following traumatic exposure, they found that 98.2 percent of participants scored in the severe range. The mean IES-R score across the sample was 61.5, with a standard deviation of 9.5 — a figure far above the thresholds typically used to flag clinically significant trauma-related distress. The authors are careful to note that because symptoms were assessed with a screening tool rather than a formal diagnostic clinical interview, the results should be interpreted as reflecting an extremely high burden of trauma-related distress within the study sample rather than confirmed clinical diagnoses. Even with that caveat, the near-universality of severe scores stands out even against the backdrop of other conflict-affected populations, where severe symptom prevalence rarely approaches such levels.

Food emerged as one of the strongest statistical correlates of psychological suffering. Severe food insecurity, measured with the Food Insecurity Experience Scale developed by the Food and Agriculture Organization, affected approximately 71 percent of participants. Women experiencing severe food insecurity had significantly higher PTSD symptom severity scores, an association that held at a p-value below 0.001. The researchers also identified a cluster of socioeconomic and living-condition factors associated with worse outcomes: being divorced or widowed, living in an extended-family household, sheltering in a tent or collective shelter during displacement, and reporting that food was simply unavailable were all significantly linked to elevated symptom scores.

These quantitative patterns were given texture and depth by the qualitative arm of the study, in which trained researchers conducted semi-structured, face-to-face interviews in Arabic with 34 of the women. Analysis of the transcripts revealed five overarching themes: poverty and inequity; food as a luxury; wounds you cannot see; on the move, nowhere to belong; and small acts of resilience. Together, the themes trace an arc from material deprivation to psychological injury and, ultimately, to the fragile coping strategies women deployed to keep themselves and their families functioning.

The theme of food as a luxury captured how a basic biological need had been transformed into an object of obsession and grief. Women described rationing scraps, skipping meals so children could eat, and the humiliating experience of standing in lines for aid that never arrived. The researchers note that this chronic preoccupation with food security operated on two fronts — it was simultaneously a source of traumatic stress in its own right and an amplifier of existing war trauma, since hunger stripped away one of the last remaining domains in which mothers could still protect their children.

The “wounds you cannot see” theme speaks directly to the invisible nature of psychological injury in wartime. Women recounted nightmares, intrusive memories of bombings and the deaths of relatives, hypervigilance, emotional numbness, and an inability to feel safe even in moments of quiet. Several described the stigma of admitting psychological suffering, or the sense that mental distress was a luxury they could not afford to acknowledge while survival demanded constant action. The researchers interpret these accounts as illustrating how trauma in this context is not a discrete event but a continuous condition, woven into the fabric of daily life.

Displacement itself — the theme of being “on the move, nowhere to belong” — emerged as a distinct psychological stressor. Women described repeated forced evacuations, the loss of homes that anchored family identity and memory, and the corrosive instability of living in tents that leaked in rain, baked in heat, and offered no privacy for grieving or for motherhood. The loss of place, the authors suggest, compounds the loss of people, producing a grief that has nowhere to settle.

Yet the final theme, small acts of resilience, complicates a narrative of pure victimhood. Women described prayer, mutual aid among neighbors, storytelling with children, and small rituals of domesticity — making tea, arranging a tent, celebrating a birthday with almost nothing — as deliberate acts of psychological resistance. The researchers frame these behaviors as adaptive coping mechanisms that, while insufficient to protect against severe trauma symptoms, sustained a sense of agency and dignity under conditions designed to strip both away.

Methodologically, the study relied on a convenience sample recruited through structured surveys administered via Google Forms, a pragmatic choice given the destruction of infrastructure and the impossibility of random sampling in an active war zone. The authors acknowledge this limitation, along with the screening-based measurement of PTSD and the absence of consistent formal referral pathways for psychological care during data collection, which meant that women who became distressed during interviews could not always be directed to clinical services. Interviews followed strict ethical protocols approved by the Institutional Review Board at An-Najah National University, with verbal informed consent, anonymization, and trained interviewers instructed to pause or terminate any conversation that caused visible distress.

The demographic profile of the sample underscores the socioeconomic dimension of psychological vulnerability. That most participants were unemployed and living below the deep poverty line before and during the war reflects broader patterns in which economic deprivation and mental health outcomes are tightly intertwined in conflict settings. Divorced and widowed women — those without a partner’s social and economic support — fared significantly worse, as did women in extended-family households, possibly reflecting crowded conditions and multiplied caregiving burdens.

The study carries a sobering human footnote. The acknowledgments honor the memory of co-author Ayman S. Abutair, a clinical nutrition researcher at Al-Azhar University-Gaza, who lost his life during the war before the paper’s publication. His death stands as a stark reminder that the researchers documenting these invisible wounds were themselves living within the same catastrophe.

The authors argue that their findings demonstrate an urgent and unmet need for comprehensive humanitarian and psychosocial support tailored to displaced women — support that integrates mental health care with food assistance, shelter improvement, and protection for female-headed households. They emphasize that because caregiving responsibilities fall disproportionately on women during war and displacement, their psychological deterioration radiates outward to children and entire family systems, making women’s mental health a strategic priority for any humanitarian response rather than an afterthought.

What the study ultimately documents is the entanglement of hunger and trauma at a scale rarely captured in research. Where most studies of conflict-related PTSD examine populations after violence has subsided, this research measured psychological injury while bombs were still falling, while displacement was ongoing, and while food systems had collapsed. The result is a portrait of a population in which severe trauma symptoms are not an unfortunate consequence of war but, in effect, a near-universal condition — visible not in wounds, but in sleepless nights, interrupted meals, and the quiet endurance of half a million women carrying burdens that remain, for now, largely untreated.

Seguindo uma tendência oposta à do mercado, a Apple foi a empresa que mais cresceu com a venda de smartwatches no segundo trimestre de 2026 — embora ainda esteja em segundo lugar no ranking das maiores companhias no setor.

Com crescimento recorde em todas as regiões, a Maçã conta agora com 20,1% de market share, graças a um crescimento de 14% nas vendas em relação ao ano passado, quando ocupava uma fatia de 17% no mercado.

Segundo a Counterpoint Research, o bom resultado se deve à adoção contínua da linha de Apple Watches lançada no ano passado. O Series 11 e o SE 3, juntos, representam mais de 80% das vendas da empresa no período.

Trata-se de um movimento bastante positivo para a empresa — e pode ser considerado também uma recuperação em relação ao mesmo trimestre de 2025, quando a Maçã observou uma queda na venda de Apple Watches.

A Apple também diminuiu sua diferença em participação em relação à primeira colocada HUAWEI, que agora é responsável pela venda de 21,8% dos smartwatches globalmente — um ponto percentual a mais que no ano passado.

Ao todo, o mercado viu suas vendas diminuírem 4% após um ano. Além das duas empresas supracitadas, completam o Top 5 a imoo (7,8%), a Xiaomi (6,1%) e a Garmin (5,6%).

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NASA is seeking proposals to advance the technology and infrastructure needed to explore the Moon and establish a Moon Base in the lunar South Pole region.

Announced on Tuesday, Sept. 8, the solicitation targets capability gaps, including power generation, oxygen extraction, and producing materials on the Moon required for construction and operations. These technologies are essential to making humanity’s next great leap in lunar exploration.

“NASA is accelerating the development of key technologies and closing critical gaps needed for long-term human exploration at the Moon,” said Greg Stover, director of NASA’s Advanced Research and Technology Division. “Partnering with industry will strengthen the U.S. industrial base as we mature the capabilities and infrastructure needed for a sustainable lunar presence.”

The NextSTEP-3 Broad Agency Announcement Appendix A: Lunar Enabling Infrastructure Accelerator solicitation aims to mature and demonstrate capabilities in five areas:

• Vertical solar array technology that can provide consistent power generation, management, distribution, and energy storage.
• In-situ resource utilization oxygen from regolith production to extract usable oxygen molecularly bonded to rock and dust covering the Moon’s surface.
• Radioisotope Stirling generator, a type of nuclear energy technology that uses heat from fissile materials to produce electric power for operating spacecraft systems in the darkest, dustiest, and most remote places.
• In-space advanced manufacturing to reduce reliance on resupply missions from Earth and to optimize mission flexibility and resilience on the Moon.
• Innovative nanomaterials production to advance the commercial availability and quality of nanomaterials that can be used in lunar exploration.

The solicitation intends to cultivate U.S.-led capabilities while maintaining full and open competition among private industry, academic institutions, and not‑for‑profit entities, as well as international partners participating through U.S.-led teams. 

NASA may apply insights gained from the resulting contracts of this solicitation, such as technical data, and demonstration results, to shape future acquisition strategies.  

To learn more about NextSTEP-3, visit:

https://go.nasa.gov/4x20o3t

-end-

Rob Margetta
Headquarters, Washington
202-358-0918
robert.j.margetta@nasa.gov

Global foldable smartphone shipments are on track to pass a major milestone by the end of 2026, with lifetime volumes expected to exceed 100 million units, according to Counterpoint Research. That would come in the eighth year of the category, which first reached commercial devices in 2019.

Foldables still make up only about 2% of the overall smartphone market, leaving substantial room to grow. Counterpoint says demand should accelerate after Apple’s expected entry, alongside stronger interest in wider book-style devices from Samsung and Huawei. Global foldable shipments are forecast to rise 37% year over year in 2027, the fastest growth rate since 2022. With that pace, the next 100 million cumulative units could arrive within about three years.

Apple is expected to make an immediate impact even with a short selling window in 2026. Counterpoint forecasts up to 6 million foldable iPhone shipments this year, giving Apple about 25% of the global foldable market and the No. 2 position behind Samsung at 38% and ahead of Huawei at 22%. The firm says that ranking would be significant so soon after Apple enters the category.

Supply, not demand, is expected to cap the early ramp. Initial production of Apple’s first foldable iPhone is likely to stay limited after this week’s expected unveiling, with sales and deliveries building gradually as availability expands by market. Associate Director Liz Lee said those constraints keep the upper end of the 2026 forecast at 6 million units, but that Apple can still take a quarter of the market and move straight into second place.

A full year of Apple sales is then expected to be a major driver in 2027. Counterpoint forecasts Apple’s foldable shipments will more than double and its share will reach 40%. Samsung remains the innovation leader in the category, while Huawei continues to be a key force in China with a wide range of designs. Other brands, including Xiaomi, Motorola, HONOR, Google, vivo and OPPO, are also preparing new foldables, including wider-format models.

Research Director Tarun Pathak said Apple’s entry will increase competition at the premium end, but the category is still small enough that there is room for several vendors to grow. The broader mix of designs and brands, he said, should help the market expand over the next few years.

Counterpoint argues the longer-term test will be user experience, not just hardware novelty. Price points remain about three times those of conventional slab smartphones, and mass-market adoption is still some years away. For now, the firm sees foldables splitting between productivity and content-consumption use cases as more premium buyers enter the segment.
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MacDailyNews Take: Apple will quickly dominate the foldable smartphone market.

Apple’s first foldable iPhone is projected to ship more than 10 million units in its debut year, according to research firm IDC.

Apple will sell every foldable iPhone it can make next year and still have people lining up to buy.

Apple wasn’t first with fingerprint recognition, they were the first to do it right with Touch ID. Apple wasn’t first with facial recognition, they were the first to do it right with Face ID. Apple wasn’t first with contactless payments, they were the first to do it right with Apple Pay. — MacDailyNews, February 27, 2019

If and when Apple debuts a foldable iPhone, they’ll be showing the world how it should be done and what to copy going forward. As usual. — MacDailyNews, February 27, 2019

As with fingerprint and facial recognition, when Apple debuts a foldable iPhone, then foldable smartphones will have been done right. — MacDailyNews, January 17, 2019

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The post Apple’s foldable iPhone set to grab 25% share in 2026, 40% in 2027 as foldables pass 100 million cumulative shipments appeared first on MacDailyNews.

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Whether consciousness arises entirely within the brain or involves processes beyond it has long been debated in scientific and philosophical circles. Historically, most academics have associated consciousness with neurons firing and communicating information; however, precisely how neural activity gives rise to subjective experience remains an open question.

Neuroscientist and consciousness researcher Christof Koch, a former faculty member at institutions including MIT and Caltech, challenges academics to take a closer look at what philosophers call the “hard problem” of consciousness: how the physical processes of the brain could produce subjective experiences in humans.

Earlier this year, Koch presented his arguments at the “Behind and Beyond the Brain” Symposium organized by the Bial Foundation, where he argued that the nature of consciousness, as well as phenomena like near-death experiences, may require a broader scientific framework.

Koch focused on three areas. First is the physical brain itself; second is the question of how we can truly agree on what is “real.” What does blue actually look like to you? What does pain feel like? These questions are difficult to answer scientifically as universal truths.

Third are unexplained experiences that may not fit neatly within a materialistic scientific framework, such as near-death experiences.

Revisiting an old approach 

Looking at older philosophical models might lead researchers toward new understandings or modern ways of approaching consciousness. Koch points to concepts such as idealism and panpsychism.

Idealism holds that consciousness or mind is fundamental to reality—mind comes first, matter second—while panpsychism holds that consciousness is a fundamental feature of the universe.

If mainstream science adopted such a shift, it could profoundly change how we understand ourselves. A paradigm shift of sorts may be coming for humanity, potentially through the integration of these ideas and a move away from strictly materialistic approaches to consciousness.

Koch points to these concepts as potential frameworks in which consciousness remains a fundamental aspect of reality. He also supports the controversial Integrated Information Theory (IIT), which proposes that systems possessing sufficiently integrated information may have some form of subjective experience.

Consciousness in Perspective

For additional perspectives, The Debrief reached out to Julia Mossbridge, a neuroscientist and Sr Distinguished Fellow in AI, Mind and Society at Florida Atlantic University, and co-author of Transcendent Mind: Rethinking the Science of Consciousness (2017), the first American Psychological Association textbook on consciousness to not assume consciousness is reducible to brain activity.

“To many neuroscientists, the brain is starting to seem more like a radio receiver and potentially also a transmitter of consciousness,” Mossbridge said in an email to The Debrief. “The idea that’s losing more ground with every new credible report of so-called ‘anomalous cognition’ is the old one—that the brain creates consciousness like the gallbladder creates bile. Maybe it’s more apt to compare the brain to the heart—it doesn’t create blood, it circulates it. But because you can use a machine to circulate the blood, it’s very clear the heart is important, but in modern times, not essential for circulation.”

Mossbridge points to reports of what she calls “veridical conscious observations” that occur when a patient’s brain shows little or no measurable activity to researchers, or what is described as “brain death,” as proof that consciousness may not be produced entirely by the brain.

These experiences led Mossbridge to consider the brain as a “transformer of consciousness rather than a creator of it.” She compares the relationship to a broken radio: “If you have a disruption in your brain, like a broken radio, you might have a disruption of consciousness.”

To test this hypothesis, Mossbridge says researchers could investigate whether people can perceive and later accurately recall “veridical information” while in deep sleep or under general anesthesia. Although she acknowledges that even positive findings might have another explanation, noting that they “could be explained by basic psychic functioning using some unknown physical mechanism.”

“So if that kind of experiment produces a positive result, and is replicated, you either have to argue that psychic ability is real but is something the brain does nonlocally (like maybe through entanglement) or that consciousness can wander from the body and observe things, or both,” Mossbridge concluded.

“The physical but nonlocal explanation is a bit like a heart pumping the blood, the brain guiding consciousness. The consciousness-wandering explanation is a bit like a heart being fully separated from the blood–and another method is used to circulate consciousness.”

“Either way, the standard model fails,” she added.

Taken together, Koch and Mossbridge’s perspectives point to a provocative possibility: that understanding consciousness may ultimately require science to reconsider some of its most fundamental assumptions about the relationship between mind, brain, and reality.

Chrissy Newton is a PR professional and founder of VOCAB Communications. She hosts the Rebelliously Curious podcast, which can be found on The Debrief’s YouTube Channel. Follow her on X: @ChrissyNewton and at chrissynewton.com.

A thousand people voluntarily buried their cotton underpants for two months—not to keep the Underpants Gnomes from stealing them, but as part of a citizen science project to map out soil health in 25 countries around the world. The results of this unique experiment were reported in a new paper published in the journal Plants People Planet.

“Our results show that how soil is managed can significantly affect both soil life and soil quality,” said co-author Marcel van der Heijden, an agroecologist at the University of Zurich. “Healthy, biologically active soil is crucial for fertility, nutrient cycling and many other ecosystem services.”

Soil health is critical for agriculture and, by extension, food security, not to mention a healthy global ecosystem, but it has been declining worldwide, per the authors. One key indicator of soil health is decomposition rates of complex organic matter, breaking down stuff like leaves, wood, even cadavers into simpler organic and inorganic compounds, releasing C0₂ and nutrients in the process. There have been relatively few large-scale national decomposition studies involving different land use types, although smaller studies have shown that how humans use a site can significantly affect the soil's biological diversity.

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