DArTseq-based silicoDArT and SNP markers reveal the genetic diversity and population structure of Kenyan cashew (Anacardium occidentale L.) landraces. by Dennis Wamalabe Mukhebi, Pauline Wambui Gachanja, Diana Jepkoech Karan, Brenda Muthoni Kamau, Pauline Wangeci King'ori, Bicko Steve Juma, Wilton Mwema Mbinda

“…A total of 27,495 silicoDArT and 17,008 SNP markers were reported, of which 1340 silicoDArT and 824 SNP markers were used for analyses after screening, with > 80% call rate, > 95% reproducibility, polymorphism information content (PIC ≥  0.25) and one ratio (>0.25). …”
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Behavioral effects in time preference for losses depend on direction of delay discounting and level of data analysis by Zhuoyi Fan, Xuhui Zhang, Yue Shen, Junyi Dai

“…For each effect, opposite changes in discount rate were found in data suggesting positive versus negative discounting. …”
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Daily night-time lights reveal prolonging global electric power system recovery times following tropical cyclone damage by Yu Mo, Fred Thomas, Jianan Rui, Jim W Hall

“…We also found that blackout durations have significantly ( P < 0.05) increased over the study period across all levels of urbanization, at a similar rate of 0.9 ± 0.1 d per decade. The temporal variations (i.e. annual means) of blackout duration of high and low density urban clusters negatively correlated with storm travel speed, while those of low density urban clusters and rural areas positively correlated with pre-storm NTL ( P ⩽ 0.05 in all cases). …”
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Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…In particular, accuracy improved by 5% using MDBM, the false positive rate reduced by 15% with MVAE, a more than 10% improvement in the F1-score with the attentive fusion network, a 20% reduction in reconstruction error with Deep Convolutional Autoencoder (DCA), detection precision improved by 12% using Adversarially Learned Inference (ALI) and a gain of 8% in Area Under the Curve (AUC) using Deep InfoMax (DIM) operations.…”
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Preferences for life-sustaining treatments in advance decisions: a cross-sectional survey of Taiwanese general public by Daniel Fu-Chang Tsai, Yu-Chen Juang, Chun-Tung Kuo, Ping-Hsueh Lee, Duan-Rung Chen

“…However, given the low completion rate and prevalent preference patterns, policymakers should increase efforts to ensure that those in need have access to appropriate resources and consider implementing a tiered signing process.…”
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Association between sleep quality and blood pressure control among hypertensive patients at a rural tertiary hospital in Southern Nigeria: a cross-sectional study by Tijani Idris Ahmad Oseni, Ndifreke Ekpo Udonwa, Afiong Oboko Oku, Moyosore Taiwo Makinde, Felix Archibong

“…Sleep patterns were categorised as restorative (healthy) or non-restorative (unhealthy). …”
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Subgroup analysis of treatment pathways and clinical outcomes in Hodgkin lymphoma in Latin America from the retrospective B-HOLISTIC study by Alvaro Hernandez-Caballero, Ruben Salazar, Marta Zerga, Silvia Rivas-Vera, Zhongwen Huang, Amado Karduss

“…Median PFS and OS in the RRHL group was 20.2 and 87 months, respectively; the 5-year PFS rate was 27.1%. Survival outcomes were improved in patients who underwent SCT than those without SCT. …”
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Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review by ShiYing Shen, Wenhao Qi, Jianwen Zeng, Sixie Li, Xin Liu, Xiaohong Zhu, Chaoqun Dong, Bin Wang, Yankai Shi, Jiani Yao, Bingsheng Wang, Xiajing Lou, Simin Gu, Pan Li, Jinghua Wang, Guowei Jiang, Shihua Cao

“…These findings underscore the technology’s potential to transform mental health care through objective, continuous monitoring—particularly for depression (heart rate and step count biomarkers) and anxiety (sleep and social interaction patterns). …”
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Analysis of the Contextual Factors Influencing the Expansion of Construction Violations with an Emphasis on the Role and Position of Key Urban Stakeholders (Case Study: Isfahan Met... by Ahmad Shahivandi, Afsaneh Talebi Varnosfaderani

“…Additionally, natural population growth—encompassing births, improvements in healthcare, and reduced mortality rates—had a factor loading of 0.74, further impacting the urbanization process. …”
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Sexual behaviors and associated factors among first-year undergraduates at overseas Chinese-oriented universities in China by Zulin Chen, Zulin Chen, Yikun Zheng, Lihan Lin, Lihan Lin, Yongjun Chen, Yunting Zheng, Hongmiao Chen, Hongmiao Chen

“…The rate was significantly higher among students from Hong Kong, Macau, and Taiwan compared to those from Mainland China and abroad (p &lt; 0.05), which was corroborated by the logistic regression (OR = 3.737, 95% CI: 2.846–4.908). …”
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Investigation on the Use and Preauthorization of Carbapenems at A National Hospital in Vietnam: A Cross‐Sectional Study by Han Ngoc Bao Pham, Nhi Truc Y. Nguyen, Nhu Quynh Tran, An Thi Thanh Nguyen, Cam Thi Le Pham, Nhan Thi Thanh Dang, Hien Thi Thu Pham, Thong Duy Vo, Mai Thi Phuong Tran, Quynh Thi Huong Bui

“…Optimizing dosing was the most common intervention in preauthorization. The rate of patients whose preauthorization process of all restricted antimicrobials complied with the hospital's protocol was 73.28%. …”
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Analysis of COVID-19 prevalence in Belarus, Thailand, and Lithuania utilizing the SIR model during the COVID era by Zahra Shirmohammadi, Khosro Rezaee, Mehdi Gheisari, Mojtaba Farmani, Fatemeh Aali, Reza Soltani, Hossein Razghandi

“…Instead of relying on static or globally derived estimates, the model parameters—infection rate (β) and removal rate (γ)—were dynamically calculated for distinct time periods in each country, using country-specific data extracted from Worldometer. …”
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Comparative transcriptome analysis of the effect of different heat shock periods on the unfertilized ovule in watermelon (Citrullus lanatus) by Ying-chun ZHU, De-xi SUN, Yun DENG, Guo-lin AN, Wei-hua LI, Wen-jing SI, Jun-pu LIU, Xiao-wu SUN

“…However, because of low repeatability, embryoid induction rate and quality, the molecular mechanisms remain poorly understood. …”
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Characterization of Pore Water Flow in 3‐D Heterogeneous Permeability Fields by Xiaolong Geng, Michel C. Boufadel, Kenneth Lee, Chunjiang An

“…The structures exhibit scale‐invariant features in multifractal fields and in stationary fields below the correlation scale, indicating that such vortex flow might be widely present with no characteristic scale. Complex spatial patterns of kinetic energy dissipation rate are identified for pore water flowing through heterogeneous porous media and correlate strongly with preferential flows. …”
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Optimising heat transfer efficiency in unsteady Maxwell hybrid nanofluid flow for solar energy by Sweeti Yadav, S. Shashi Prabha Gogate, P.A. Dinesh, K.R. Roopa

“…In the case of suction, the unsteady parameter heat transfer rate for hybrid nanofluid is 18.78%, while 28.48% for injection. …”
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The Influence of Meltwater on Phytoplankton Blooms Near the Sea‐Ice Edge by C. W. Lester, T. J. W. Wagner, Dylan E. McNamara, M. R. Cape

“…We extend the classic Fisher reaction‐diffusion equation to consider a time‐ and space‐varying death rate that represents the role of meltwater in the system. …”
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New perspectives under heterogeneity: mechanism of nutrient heterogeneity on Cd-induced hormesis of soil respiration by Qian Gao, Jiangshan Yang, Junyang Wu, Yongli Zhu, Yongli Zhu, Diwu Fan, Jiangang Han, Jiangang Han

“…To examine the effects of nutrient spatial heterogeneity on the hormesis of soil ecosystem under cadmium (Cd) stress, we constructed three patches with different spatial nutrient distribution but the same total nutrient content through different spatial discharge patterns. Different levels of Cd stress were applied to the patches, and after incubation, soil respiration rate, content of dissolved organic matter (DOM) and metagenomic characteristics were measured. …”
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Independent and joint impacts of high body mass index and aging on global burden of chronic kidney disease: insights from the Global Burden of Disease Study 2021 by Yao Ma, Shun Chen, Yuanli Shen, Xiang Wang, Xinning Xie, Weihong Zhao

“…IntroductionWe aimed to evaluate the levels and trends of CKD burden associated with high body mass index (BMI) from 1990 to 2021 and to investigate the role of aging.MethodsFrom the Global Burden of Disease Study 2021, we retrieved data and estimated CKD-related deaths, disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR), and age-standardized DALYs rate (ASDR) attributable to high BMI by age, sex, socio-demographic index (SDI), and geographical regions. …”
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Neoadjuvant chemoimmunotherapy versus neoadjuvant chemoradiotherapy in patients with borderline resectable esophageal squamous cell carcinoma by Jun-Peng Lin, Feng-Nian Zhuang, Wei-Jie Chen, Zhou Lin, Yu-Jie Chen, Xiao-Feng Chen, Hui Lin, Hao He, Peiyuan Wang, Hang Zhou, Wen-Wei Wei, Peng-Qiang Gao, Shuo-Yan Liu, Feng Wang

“…After PSM, the R0 resection rate (85.7% vs. 90.5%, P = 0.341) and pCR rate (19.0% vs. 26.2%, P = 0.269) were comparable between two groups, while the MPR rate in the NACI group was significantly lower than in the NCRT group (32.1% vs. 56.0%, P = 0.002). …”
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Dynamical modeling of syncytial mitotic cycles in Drosophila embryos by Laurence Calzone, Denis Thieffry, John J Tyson, Bela Novak

“…The model can be used to predict the phenotypes of novel mutations and effective ranges of the unmeasured rate constants and transport coefficients in the proposed mechanism.…”
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