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Enhancing precision in lymphoma detection with novel deep transformer-based neural networks

Lymphoma appears as swollen lymph nodes and weakened immune-protective tissues, frequently resulting in tiredness and loss of weight. Improving the outlook of this malignancy includes using computer-assisted analysis of Positron Emission Tomography (PET) pictures, which identify changes in metabolism. This article presents an Automatic Pre-Segmentation Model (APSM) that uses the Swin Transformer (ST). The APSM accurately separates inputs by recognizing pixel differences caused by changes in metabolism in various tissues and lymph nodes. Training the Swin Transformer system for classification and identification happens simultaneously, focusing mainly on the lymph node area. The model effectively divides the Lymphoma area by examining differences in patterns between regional features and changes in pixels. This segmentation model combines transformer network training to simultaneously learn fractal variations and feature changes, helping to adjust the relationships between training and testing inputs. The segmentation model’s effectiveness comes from its capability to stop training the matching transformer network when it identifies new deviations, alterations, or both. The proposed model achieved 12.68% higher segmentation accuracy, 13.38% improved precision, and reduced overhead, error, and segmentation time by 12.73%, 9.27%, and 10.23%, respectively, outperforming existing methods.

Highly efficient photonic convolver via lossless mode-division fan-in

OptiSelect and EnShap: Integrating machine learning and game theory for ischemic stroke prediction

Stroke analysis using game theory and machine learning techniques. The study investigates the use of the Shapley value in predictive ischemic brain stroke analysis. Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. For each sample, the top 3, 4, and 5 features are evaluated and selected to evaluate their performance. The Shapley value method was used to rank the models using their best four features based on their predictive capabilities. As a result, better-performing models were found. Afterward, ensemble machine learning methods were used to find the most accurate predictions using the top 5 models ranked by shapely value. The research demonstrates an impressive accuracy of 92.39%, surpassing other proposed models’ performance. This study highlights the utility of combining game theory and machine learning in Ischemic stroke prediction and the potential of ensemble learning methods to increase predictive accuracy in ischemic stroke analysis.

Tonic dopamine and biases in value learning linked through a biologically inspired reinforcement learning model

Expanding range of Ixodes scapularis Say (Acari: Ixodidae) and Borrelia burgdorferi infection in North Carolina counties, 2018–2023

North Carolina (NC) has been experiencing a recent surge in human Lyme disease (LD) cases. Understanding the distribution of tick-borne diseases necessitates understanding the distribution of the ticks that transmit their causative pathogens. Unfortunately, in NC, knowledge on tick distribution is outdated. In this manuscript, we report the results of a state-wide entomologic survey conducted in 42 NC counties by flagging/dragging from spring 2018 to summer 2023. Ixodes scapularis nymphs and adults were screened for Borrelia burgdorferi (the causative agent of LD) and four other tick-borne bacterial pathogens (Anaplasma phagocytophilum, B. mayonii, B. miyamotoi, and Babesia microti) by the Centers for Disease Control and Prevention (CDC). Consistent with current data on human LD cases incidence and distribution, results of this study indicated a range expansion of I. scapularis with higher tick densities and B. burgdorferi infection prevalence now occurring in the Blue Ridge Mountains province of western NC. Temporal analysis of I. scapularis presence data indicated that this shift is fairly recent (about 10 years). Finally, in the Blue Ridge Mountains we detected a northeast-to-southwest gradient in I. scapularis tick and B. burgdorferi infection prevalence suggesting that this trend is driven by a spread of the northern clade I. scapularis ticks into NC from southwestern Virginia, along the Appalachian Mountains. Other pathogenic bacteria detected in I. scapularis ticks included B. miyamotoi and A. phagocytophilum, that were limited to the Blue Ridge Mountains. These results have important public health implications, including the need for enhanced tick surveillance, updated clinical awareness, and targeted public education in newly affected areas.

In-situ thermo-mechano-chemical transformation and consolidation of Sm-Co powders via a single-step route for bulk magnet fabrication

Effects of concurrent training on the Chinese female elite triathletes

This study investigated the effects of an 8-week concurrent strength-endurance training program on the performance of elite female triathletes in China. Twelve female national team members (age 18.41 ± 1.44 years) completed a phased concurrent training program, which included strength (three times per week) and endurance (three times per week) modules. TRIMP was used to monitor training load. The test indicators included 1RM strength, vertical jump (CMJ/SJ), swimming/running performance, and short- and medium-distance triathlon simulation races. The results showed that 1RM squat (+4.23% ± 2.99%, P < 0.001), relative squat strength (+3.96% ± 3.0%, P < 0.001), static jump (SJ, + 3.65% ± 1.42%, P < 0.001), 400-meter swimming (−0.85% ± 0.25%, P < 0.001), 2000-meter running (−0.47% ± 0.48%, P < 0.01), and short-distance triathlon performance (−3.63% ± 0.11%, P < 0.001) significantly improved. Maximum output power increased by 5.52 ± 3.06 W (P < 0.001), but VO2max and medium-distance triathlon performance remained unchanged. Concurrent training effectively enhanced the lower limb explosive power and short-distance performance of elite female triathletes through neuromuscular adaptations, and the intervention effects were sustainable, supporting its integration into periodized training programs.

Author Correction: Absorbable hemostatic hydrogels comprising composites of sacrificial templates and honeycomb-like nanofibrous mats of chitosan

Infidelity among parents in committed relationships during the COVID-19 pandemic

The COVID-19 pandemic has profoundly affected various aspects of personal life, including romantic relationships. While existing research has explored the pandemic’s impact on relationship quality and behavior, little attention has been given to the influence of the pandemic on infidelity. This study aims to explore how the COVID-19 pandemic may have influenced both the increased desire for and the actual engagement in infidelity among individuals in relationships, with a particular emphasis on parents. We conducted a cross-sectional survey of romantically partnered U.S. adults (N = 1,070), to examine self-reported increased desire for and engagement in infidelity. Using linear and binary logistic regressions, we investigated how parental status (parent vs. non-parent) affected this desire or engagement, with gender (men vs. women) included as a moderating variable and controlling for the occurrence of one or more stressful relationship events during the COVID-19 pandemic. Our findings indicated that parents (vs. non-parents) reported increased desire for, and engagement in, infidelity; men also reported increased desire and engagement than did women, but gender did not moderate the links between parental status and infidelity. These results suggest that parents and men may be especially vulnerable to high stress like that brought about by the COVID-19 pandemic; these individuals and their current romantic relationships may benefit from targeted social support.

Large language model powered knowledge graph construction for mental health exploration

Effects of Baobab fruit powder on gut and cardiometabolic health in obesity—Protocol for a randomised placebo-controlled trial

Despite its commercial availability, its high fibre, vitamin C and polyphenol content, there are limited scientific studies exploring the cardiometabolic effects of Baobab fruit powder (BFP) in humans. Due to its high fibre content, BFP may offer a potential intervention to reduce intestinal barrier dysfunction and therefore mitigate cardiometabolic risk. A randomized, double-blind, placebo-controlled trial will be conducted with 50 apparently healthy participants living with obesity. Participants will consume either 16 g of BFP or an isocaloric placebo daily for 45 days. The primary outcome will be intestinal permeability determined using the urinary lactulose/mannitol test. Secondary outcomes include blood biomarkers in intestinal permeability (lipopolysaccharide (LPS), intestinal fatty acid binding protein (IFABP), soluble cluster of differentiation 14 (sCD14) and LPS-binding protein (LBP)), microbiota diversity and composition and cardiometabolic risk markers including glucose levels, blood lipid profiles and blood pressure. Liver and kidney function will be monitored at baseline, after 2 weeks and following 45 days of consumption as safety outcomes. The study protocol ensures rigorous, weekly monitoring of participant compliance and tolerability, along with careful tracking of potential adverse events. Intention-to-treat analysis and mixed effects models will be employed for statistical analyses. Potential selection bias and participant dropout are addressed through thorough recruitment strategies and predefined sample size calculations. This research will contribute to the growing body of knowledge on dietary interventions in the context of cardiometabolic risk, particularly in populations at risk for developing metabolic disease. South African Clinical Trial Registry - SANCTR, DOH-27-062024-8061; Pan African Clinical Trial Registry – PACTR202308727853680

Modeling the genomic architecture of adiposity and anthropometrics across the lifespan

Research on the impact of career advancement on the mental health of young workers

Mental health is an important component of overall health. Currently, the mental health issues among Chinese workers are becoming increasingly severe, especially under the backdrop of increased uncertainty in career advancement, where depression and anxiety issues among young workers are prominent. Based on the panel data from the China Family Panel Studies (CFPS) in 2018 and 2020, this paper constructs an OLS regression model to empirically analyze the impact of career advancement constraints on workers’ mental health and its mechanism of action. The study finds that limited career advancement significantly increases workers’ depression index. Pathways such as extended working hours, deteriorated health conditions, and distorted labor value concepts play a partial mediating role, thereby reducing mental health levels. Heterogeneity analysis shows that compared to female, low-income, and low-educated individuals, male, those with medium to high income, and higher education levels are more likely to experience a decline in mental health due to career advancement constraints. This study provides empirical evidence for understanding the impact of career advancement uncertainty on mental health and offers important insights for improving occupational mental health policies and enhancing worker welfare.

Range-wide climate risk and adaptive potential in a cold-water fish species

Relationship between surface deformation displacement and energy evolution of red sandstone under uniaxial compression

The bedding structure, variations in cementation state, and pore network characteristics of red sandstone contribute to significant non-uniform deformation, critically influencing engineering stability. Existing research on external energy input to red sandstone primarily focuses on the relationship between overall rock deformation, axial deformation, and energy evolution, while studies exploring the correlation between red sandstone surface deformation caused by loads change and energy remain limited. To address these gaps, this study employs a 3D visualization test system to collect surface displacement data of red sandstone standard samples synchronously using multiple cameras, combined with micron-scale digital image correlation technology and energy analysis. The study systematically examines the relationship between surface deformation and energy evolution in red sandstone and reveals the surface deformation process of red sandstone. According to the surface deformation’s variation trend of the sample and the degree of change, four distinct stages of surface deformation, corresponding to axial deformation stages but with temporal discrepancies, are identified. By quantifying external energy input, the study establishes a correlation model linking obtained local surface deformation to energy input under unconfined conditions. The findings provide critical theoretical and technical support for stability evaluation and optimization design of red sandstone engineering, especially in deformation control and safety warning for slopes and other free-surface engineering projects.

A non-metal-to-metal I+−Ag+ coordination bond

Investigating approach/avoidance tendencies in male AUD patients through a gait initiation task: An exploratory posturography study

Introduction This exploratory study investigates approach/avoidance tendencies in male patients with Alcohol Use Disorder (AUD) through a gait initiation task combined with posturography. Method Seventy-four male participants (N = 74), including 47 AUD patients undergoing detoxification and 27 healthy controls, were exposed to alcohol-related, erotic, and neutral visual stimuli. Reaction times (RTs) and postural micromovements preceding gait initiation (forward/backward steps) were recorded to assess their predictive value for relapse (n = 13) or abstinence (n = 34) within two weeks post-detoxification. Results A mixed ANOVA (2x2x3) revealed significant group differences in RTs to alcohol-related stimuli (Stimuli × Group interaction: p = .029), with relapsers showing slower responses to alcohol cues than abstainers for forward as well as backward steps. Additionally, postural micromovements before gait initiation (measured through the standard deviation of the center of pressure’s position) showed a significant Stimuli × Group interaction (p = 0.05), with relapsers displaying increased micromovements when exposed to alcohol-related stimuli (p = .044). Conclusion These findings suggest that relapsers exhibited distinct motor responses to alcohol-related stimuli, characterized by delayed RTs and increased postural instability. These early indicators of relapse risk highlight the potential of posturography as a clinical tool in alcohol detoxification programs.

An organometallic approach to the synthesis of heteropolycyclic compounds from benzenes

Abstract The emerging field of dearomatization capitalizes on the synthetic potential of aromatic molecules. By using a transition metal to bind to two carbons of a benzene ring, the remaining four carbons are left available for the attachment of various chemical fragments. If these fragments are connected, this process could be a blueprint for synthesizing polycyclic architectures. The objective of this study is to develop a modular approach for creating classes of saturated polycyclic compounds that are currently underrepresented in the landscape of druggable chemical space. Herein, the phenyl group of methylphenylsulfone is coordinated to the tungsten complex {WTp(NO)(PMe3)}, largely interrupting its aromatic stabilization because of strong metal-to-ligand backbonding. Through the combination of ester enolate and amine addition reactions to the arene carbons, a wide array of chemically diverse polyheterocyclic systems is prepared. The tungsten stereogenic center influences the configurations of 3-5 stereocenters derived from the phenyl carbons.

Is waist to height ratio better at assessing cause-specific mortality risk than body mass index or waist circumference? A prospective analysis in a large U.S.-based cohort

Introduction Excess body fatness is an established risk factor for various types of chronic disease and all-cause mortality. Most previous studies are based on body mass index (BMI) as a general measure of adiposity, but whether measures of central adiposity that better represent metabolically active visceral fat, such as waist-to-height ratio (WtHR), may be better at predicting disease and mortality risks is less known. Materials and Methods Data from a large, prospective cohort in the U.S. including 50,618 women and 43,783 men (mean age of 67.3 years, predominantly non-Hispanic White), among whom 21,565 women and 26,758 men died during follow-up (1997–2018), were used to calculate multivariable-adjusted hazard rate ratios and 95% CIs for WtHR, BMI, and waist circumference in relation to total and cause-specific mortality. Results WtHR was strongly correlated with BMI (r = 0.81). After adjustment for BMI and other covariates, WtHR (≥0.55 vs. < 0.50) was positively associated with all-cause mortality risk in women (RR = 1.23, 95% CI 1.17–1.29) and men (RR = 1.11, 95% CI 1.06–1.17). BMI and WC were also independently, positively associated with subsequent mortality risk at a similar magnitude to WtHR. Associations persisted for all grouped causes of death in women and men, with the exception of cancer and Alzheimer’s disease mortality in men. Mortality associations with WtHR were generally stronger among individuals younger than age 70 years compared to older individuals. Discussion WtHR was associated with all-cause, cardiovascular disease, cancer, respiratory disease, and Alzheimer’s disease mortality in women and men at a magnitude similar to BMI or WC. Excess adiposity is an established major risk factor for premature death, but different measures may better predict mortality in different populations defined by age or other factors.

Arctic zircon U-Pb ages reveal multiphase glaciations in East Siberia during the late Quaternary

Abstract Tracing ice-rafted debris (IRD) in Arctic Ocean sediments is crucial for understanding the evolution of Northern Hemisphere ice cover. However, uncertainties in identifying the provenance of IRD across circum-Arctic shelves have complicated reconstructions of the East Siberian Ice Sheet (ESIS). Here, we present a provenance study using 10,111 detrital zircon U-Pb ages from circum-Arctic shelf sediments and central Arctic IRD. Our results reveal that a prominent ~90–110 Ma zircon peak serves as a distinctive fingerprint for East Siberian-sourced sediments. Central Arctic IRD from at least four glacial periods contains this signature, indicating repeated ESIS glaciation, likely within the past three glacial cycles. This multiphase glaciation of East Siberia exerted significant, though poorly understood, influences on both polar and global climates during the late Quaternary. Our findings provide valuable insights into the history of Northern Hemisphere glaciation and offer an effective approach for reconstructing ice sheet evolution.