Extreme migratory connectivity and apparent mirroring of non-breeding grounds conditions in a severely declining breeding population of an Afro-Palearctic migratory bird by Máire Kirkland, Nathaniel N. D. Annorbah, Lee Barber, John Black, Jeremy Blackburn, Michael Colley, Gary Clewley, Colin Cross, Mike Drew, Oliver J. L. Fox, Vicky Gilson, Steffen Hahn, Chas Holt, Mark F. Hulme, John Jarjou, Dembo Jatta, Emmanuel Jatta, Kevin Leighton, Ernestina Mensah-Pebi, Chris Orsman, Naffie Sarr, Roger Walsh, Leo Zwarts, Robert J. Fuller, Philip W. Atkinson, Chris M. Hewson

“…Abstract Understanding the distribution of breeding populations of migratory animals in the non-breeding period (migratory connectivity) is important for understanding their response to environmental change. High connectivity (low non-breeding population dispersion) may lower resilience to climate change and increase vulnerability to habitat loss within their range. …”
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Hospital Surgical Volume, Utilization, Costs and Outcomes of Retroperitoneal Lymph Node Dissection for Testis Cancer by Hua-yin Yu, Nathanael D. Hevelone, Sunil Patel, Stuart R. Lipsitz, Jim C. Hu

“…Sociodemographic differences exist between high versus low volume RPLND hospitals. Although higher volume hospitals had more transfusions and higher costs, perhaps due to more complex cases, they experienced fewer complications. …”
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Study on the optimal structure of nonmetallic coiled tubing with cable-laying based on the minimum stress in optical fibers by Houbu Li, Xueru Zhang, Xuemin Zhang, Nan Ding, Lei Li

“…The cables exhibit a distribution of alternating stress, characterized by regions of both high and low stress, across the three structures. The stress experienced by optical fibers under internal pressure is affected by their spatial arrangement and the compressive stress present in the fiber integration layer. …”
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Exploring the prognostic role of microbial and genetic markers in lung squamous cell carcinoma by Fan Yang, Xiaodong Jia, Zihuan Ma, Siyao Liu, Chunzi Liu, Dan Chen, Xiuju Wang, Niansong Qian, Hui Ma

“…Furthermore, hub mRNA between high- and low-risk groups were selected by XGBOOST and intersect with mRNAs screened by univariate Cox regression analysis, finally identifying four mRNA significantly associated with LUSC prognosis. …”
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The role of milk urea nitrogen in nutritional assessment and its relationship with phenotype of dairy cows: A review by Xiaowei Zhao, Nan Zheng, Yangdong Zhang, Jiaqi Wang

“…Therefore, measuring MUN can serve as a valuable indicator for improving nutritional management in dairy herds. Both excessively high and low MUN values are undesirable for dairy cows due to their negative effects on reproductive performance, health, and nitrogen use efficiency. …”
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Characteristics and Outcomes of Elderly Patients Refused to ICU by María-Consuelo Pintado, Patricia Villa, Natalia González-García, Jimena Luján, Rocío Molina, María Trascasa, Esther López-Ramos, Cristina Martínez, José-Andrés Cambronero, Raúl de Pablo

“…Hospital mortality rate of the whole study cohort was 36.3%, higher in patients “too ill to benefit” (55.6% versus 35.8%, P<0.01), which also have higher 1-year mortality (73.7% versus 42.5%, P<0.01). High comorbidity, low functional status, unavailable ICU beds, and age were associated with refusal decision on multivariate analysis. …”
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Interpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML by Fei He, Suxia Liu, Xingguo Mo, Zhonggen Wang

“…The flash flood susceptibility map generated by the best-performing eXtreme Randomized Trees (XRT) model showed that 8.92%, 12.95%, 15.42%, 31.34%, and 31.37% of the study area exhibited very high, high, moderate, low, and very low flash flood susceptibility, respectively, with approximately 74.9% of the historical flash floods occurring in areas classified as moderate to very high susceptibility. …”
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The moderating effect of psychological capital on the relationship between nurses’ perceived workplace bullying and emotional exhaustion: a cross-sectional study by Xiao Peng, Jing Ma, Ying Chen, Ying Han, Hong Zhou, Aiping Gong, Fang Peng, Xinzhang Sun, Xingfen Wang, Xunya Xiong, Li Li, Mengting Huang, Qingsong Zeng

“…However, as the perceived WPB increased, the disparity in emotional exhaustion between the high and low PsyCap groups diminished. Conclusions WPB significantly contributes to nurses’ emotional exhaustion. …”
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DC-Based Immunotherapy Combined with Low-Dose Methotrexate Effective in the Treatment of Advanced CIA in Mice by Jun-Eui Park, Jinah Jang, Ji-Hye Choi, Mi-sun Kang, Yun-Ju Woo, Young-Rim Seong, Chan-Bum Choi, Hye-Soon Lee, Sang-Cheol Bae, Yong-Soo Bae

“…Combination therapy with low-dose MTX and type II collagen- (CII-) pulsed smDCs (CII-smDCs) was more effective in inhibiting disease progression than high or low-dose MTX alone or a combination of high dose MTX and CII-smDCs. …”
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Elevational patterns of orchid diversity in mid-subtropical mountain forests of eastern China by Qinghua Zhan, Haihong Liao, Yuelong Liang, Zhong Zhang, Xingui Le, Yu Xiong, Lin Cheng, Wenqi Ding, Jian Lu, Yadong Zhou, Boyun Yang

“…Meanwhile, we also found that significant differences in the composition and abundance of orchid communities between high and low elevations. These results significantly enhance our understanding of elevation-dependent diversity patterns among rare and endangered plants in the mid-subtropical regions of China.…”
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Water Quality Assessment of Selected Wells in the Farmer-led Irrigation System in Anloga District, Volta Region, Ghana by Henry Evonameh Igbadun, Olufunke Cofie, Donatus Obiajulu ONWUEGBUNAM, Michael Adote Kpakpo-Sraha, Seifu TILAHUN

“…About 50% of the sampled wells could be classified under the high salinity-low sodium hazard (C3-S1), 20% are under very high salinity-medium sodium hazard (C4-S2), another 20% under very high salinity-high sodium hazard (C4-S3) and 10% under medium salinity-low sodium (C2-S1) classes. …”
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Global Ionospheric Scintillation Estimation Based on Phase Screen Modeling From One‐Dimensional Satellite Data by Yuhao Zheng, Chao Xiong, Luca Spogli, Rayan Iman, Lucilla Alfonsi

“…Scintillation from our model shows typical seasonal variations, with peaks during equinoxes at both high and low magnetic latitudes. For local time (LT) dependence, the scintillation at low magnetic latitudes peaks around 21:00 LT, while at high magnetic latitudes, the maximum occurrence appears around noon, with an asymmetry between the northern and southern hemispheres. …”
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Ternary Toward Binary: Circuit-Level Implementation of Ternary Logic Using Depletion-Mode and Conventional MOSFETs by Hyundong Lee, Seonghoon Kim, Jongbeom Kim, Jaehoon Jeong, Jeonggyu Yang, Taigon Song

“…Our silicon-based devices are easier to manufacture and support high-speed/low-power operations through our complementary ternary logic. …”
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Spatial-temporal differentiation and influencing factors of ecosystem health in Three-River-Source national Park by Yanqin Wang, Huaju Xue, Aiqing Li, Xiaofan Ma, Ailing Sun, Jinhe Zhang

“…It also showed significant “high-high” and “low-low” clustering effects in the eastern and northwestern regions. (3) Among all the indicators assessed, ecosystem vigor was the indicator that contributed the most to the growth of the ecosystem health index. (4) Variations in ecosystem health of TNP were mainly shaped by land use intensity and precipitation, and interactions between natural environmental factors and human activity factors enhanced the explanation of these changes. …”
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Fasting Leptin Is a Metabolic Determinant of Food Reward in Overweight and Obese Individuals during Chronic Aerobic Exercise Training by Mark Hopkins, Catherine Gibbons, Phillipa Caudwell, Dominic-Luc Webb, Per M. Hellström, Erik Näslund, John E. Blundell, Graham Finlayson

“…On separate days, the reward value of high-and-low-fat food (explicit liking and implicit wanting) was also assessed at baseline, week six, and postintervention. …”
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A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images by Maqsood Ahmed, Xiang Zhang, Yonglin Shen, Nafees Ali, Aymen Flah, Mohammad Kanan, Mohammad Alsharef, Sherif S. M. Ghoneim

“…Meanwhile, we have collected a dataset called the Human Clothing Image Dataset (HCID), consisting of 10,000 images with two categories (High and Low air temperature). All the models were evaluated using various classification metrics, such as the confusion matrix, loss, precision, F1-score, recall, accuracy, and AUC-ROC. …”
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A Novel Intensive Distribution Logistics Network Design and Profit Allocation Problem considering Sharing Economy by Mi Gan, Shuai Yang, Dandan Li, Mingfei Wang, Si Chen, Ronghui Xie, Jiyang Liu

“…Analyzing customer shopping behavior by the big data technology to determine customer’s logistics preference on the basis of dividing the customer’s logistics preference into high speed, low cost, and low pollution and then constructing the corresponding objective function model according to different logistics preferences, we obtain the intensive distribution logistics network model and solve it with heuristic algorithm. …”
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Development of a prognostic gene signature and exploration of P4HA1 in the modulation of cuproptosis in colorectal cancer by RenJie Jiang, LinLin Ruan, Taohui Ding, Hongtao Wan, Yanglin Chen, XiaoJian Zhu, Zhijiang Huang, Dengke Yao, Ming Li, Bo Yi, Dan Liu

“…This model effectively stratified patients into high- and low-risk groups, which exhibited significant differences in disease stage, immune landscape, tumor mutational burden, and therapeutic response, underscoring the robustness of the model. …”
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Identifying Top-Performing Students via VKontakte Social Media Communities Using Advanced NLP Techniques by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva, Vyacheslav L. Goiko, Vitaliy V. Kashpur

“…Through a series of experiments, we developed a machine learning algorithm that effectively distinguishes between high- and low-performing students based on these profiles. …”
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The Bidimensional Model of Mental Health: an empirical approach in a general population sample by Manuel González, Mario González, Lastenia Hernández, Laureano Lorenzo

“…The proposed model proposes classification into four groups according to the above result, namely, complete mental health (high BS, low PS, 62.2%), vulnerable (low BS, low PS, 11.4%), symptomatic but content (high BS, high PS, 11.4%) and troubled (low BS, high PS, 15%). …”
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