Construction and application of copula-based trivariate standardized river disconnection index for seasonal rivers in arid and semi-arid areas by Qingqing Qi, Zipeng Wang, Zezhong Zhang, Hang Yin, Hexin Lai, Yiyang Zhao, Fei Wang, Kai Feng

“…Optimal distribution functions vary across regions, times, and datasets; therefore, using the best monthly distribution functions to compute SRI, SGDI, and SSMI provides a more scientifically robust mathematical and statistical basis. (2) The SSRDI, which combines surface water, groundwater, and soil water, is more consistent with the actual hydrological conditions of Tabu River compared to the three univariate indices. (3) From 2002 to 2020, the SSRDI for Tabu River shows a continuous declining trend, albeit at a slowing rate. The overall pattern exhibits a cyclical trend of worsening followed by improvement, with June being the month of most severe ecological river disconnection. (4) The seasonal component of the SSRDI from 2002 to 2020 displays cyclical changes, with a mutation in June 2004. …”
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Chronic opioid use following surgery for head and neck cancer patients undergoing free flap reconstruction by Ashley Hinther, Alysha Rasool, Steven C. Nakoneshny, Shamir P. Chandarana, Robert Hart, T. Wayne Matthews, Joseph C. Dort

“…Abstract Background Physician opioid-prescribing patterns have significant impacts on the current opioid crisis. …”
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The Effectiveness of the UNAIDS Strategy«90-90-90»in Populations with Different Population Growth by D. A. Neshumaev, E. N. Sukharev, V. L. Stasenko

“…The following parameters were used to describe the epidemic process: population size, birth rate, mortality, HIV prevalence, lethality among patients with HIV/AIDS and probability of HIV transmission. …”
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Transcriptome Profiling Reveals Genetic Basis of Muscle Development and Meat Quality Traits in Chinese Congjiang Xiang and Landrace Pigs by Jiada Yang, Qiaowen Tang, Chunying Sun, Qiuyue Li, Xiaoyu Li, Lu Hou, Yi Yang, Kang Yang

“…RNA sequencing was performed on muscle tissues from ten individuals of each breed, generating 874.5 million raw reads with an average mapping rate of 89.3% to the pig reference genome. (3) Results: Transcriptional profiling revealed distinct expression patterns with 785 genes exclusively expressed in CX pigs and 457 genes unique to LAN pigs, while 7099 co-expressed genes were shared by both breeds. …”
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Real-world effectiveness of post-trastuzumab emtansine treatment for human epidermal growth factor receptor 2-positive metastatic breast cancer: a multicenter, matched cohort analy... by C. Courtinard, V. Barbet, R. Schiappa, F. Pilleul, S. Michiels, S. Dabakuyo, S. Gourgou, A. Jaffre, B. Asselain, L. Bosquet, K. Dunton, M. Rosenlund, Z. Liang, J. Cathcart, S. Delaloge

“…Patients and methods: Patients from the French Epidemiology Strategy and Medical Economics (ESME) mBC database who initiated treatment for HER2+ mBC between 1 January 2008 and 31 December 2016, and received one or more treatment lines following T-DM1 were propensity score matched 1 : 1 to patients from DESTINY-Breast01 to create an ESME DB-01 matched cohort. Treatment patterns, real-world best overall response, real-world objective response rate (rwORR), real-world disease control rate (rwDCR), real-world progression-free survival (rwPFS), and overall survival (OS) were estimated, including by prior pertuzumab exposure and de novo/relapsed mBC status. …”
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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe

“…Our method successfully captures temporal patterns, making it robust against subtle anomalies and structural changes. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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Differential Cortical Responses of Functional and Sensory Electrical Stimulation in Closed-Loop Tremor Suppression for Parkinson’s Disease by Xiaoqi Zhao, Tinglan Huang, Mengyue Jin, Hongbo Zhao, Yu Shi, Yanlin Wang, Xiao Shen, Zhen Li, Qingqing Shi, Xiaodong Zhu, Lin Meng

“…Both FES and SES significantly reduced tremor amplitude, with FES showing overall greater suppression (hand suppression rate: 60.72% vs. 48.31%, p >0.05; forearm suppression rate: 62.25% vs. 54.41%, p >0.05) where substantial inter-individual variability was observed. …”
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Timing of Surgery and Preoperative Predictors of Surgical Site Infections for Patients with Depressed Skull Fractures in a Sub-Saharan Tertiary Hospital: A Prospective Cohort Study by Hervé Monka Lekuya, Jelle Vandersteene, Larrey Kasereka Kamabu, Rose Nantambi, Ronald Mbiine, Anthony Kirabira, Fredrick Makumbi, Stephen Cose, David Patrick Kateete, Mark Kaddumukasa, Edward Baert, Moses Galukande, Jean-Pierre Okito Kalala

“…The outcome variables were the incidence risk of SSI, types of SSI, microbial culture patterns of wound isolates, and hospital length of stay. …”
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Annual dialysis data report 2022, Japanese Society for Dialysis Therapy (JSDT) Renal Data Registry by Norio Hanafusa, Masanori Abe, Nobuhiko Joki, Junichi Hoshino, Masatomo Taniguchi, Kan Kikuchi, Takeshi Hasegawa, Shunsuke Goto, Tetsuya Ogawa, Eiichiro Kanda, Shigeru Nakai, Toshihide Naganuma, Kenichiro Miura, Atsushi Wada, Yoshiaki Takemoto

“…The results obtained for each condition provide evidence for developing more clinically effective practice patterns for these conditions.…”
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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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From west to east: dissecting the global shift in inflammatory bowel disease burden and projecting future scenarios by Kaiqi Yang, Changhao Zhang, Rui Gong, Wei Jiang, Yuchen Ding, Yang Yu, Jinlong Chen, Min Zhu, Jiaxuan Zuo, Xueping Huang, Lumei Wang, Peng Li, Xiujing Sun

“…This survey analyzed patterns and trends in the burden of IBD to aid future decision making. …”
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Clinicopathological characterization of Switch/Sucrose-non-fermentable (Swi/Snf) complex (ARID1A, SMARCA2, SMARCA4)-deficient endocervical adenocarcinoma by Chao Cao, Zi-Yun Wu, Wei Liao, Li-Jun Wei, Hao-Yu Liang, Xia Yang, Rong-Zhen Luo, Li-Li Liu

“…Defining Swi/Snf deficiency as loss of any subunit, the overall deficiency rate was 5.96% (36/604). Swi/Snf-deficient ECA tended to advanced FIGO stage (III-IV, P = 0.041), larger tumor size (P < 0.001), deeper stromal invasion (≥ 1/3, P = 0.046), and higher lymph node metastasis rate (P = 0.037). …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Spatiotemporal dynamics and key climatic influences on vegetation resilience in opencast coal mine dumps after restoration by Hui Wang, Chengye Zhang, Yaxin Ding, Feiyue Li, Wanxi Liu, Yan Ma, Yingjie Guo, Bikram Banerjee, Jun Li

“…These findings demonstrate that vegetation resilience captures stage-specific ecological patterns that NDVI alone cannot detect, thereby supporting adaptive restoration and climate-informed management in mining environments.…”
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Characteristics of second primary malignancies following bispecific antibodies therapy by Dan Liu, Tong Li, Liang Wang, Jia Guo, Xinyu Zhou, Hongsheng Zhou, Xiaojie Liang, Baiwei Luo, Bingyu Lin, WeiXiang Lu, Shengyu Tian, Zihong Cai, Zhihao Jin, Keren Chen

“…The incidence risk of SPMs was stable over the past 8 years, accounting for 1–2% of all adverse events, with a case fatality rate of 29.63% among the SPM cases. Myeloid leukemias and non-Hodgkin’s lymphoma were more frequent in blinatumomab recipients, while solid malignancies predominated in those treated with teclistamab. …”
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Analysis of epigenetic biomarkers for diagnosis and assessment of severity in rheumatoid arthritis: a cross-sectional study by Arkaitz Mucientes, Gracia María Martín Núñez, Natalia Mena-Vázquez, Jose Manuel Lisbona-Montañez, Sara Manrique-Arija, Andrés González-Jiménez, Patricia Ruiz-Limón, Aimara Garcia-Studer, Fernando Ortiz-Márquez, Laura Cano-García, Antonio Fernández-Nebro

“…This study aims to analyze methylation patterns in RA patients and controls to identify diagnostic and prognostic epigenetic biomarkers. …”
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GPC3: a novel mutated gene in pleuropulmonary blastoma by Jiahang Zeng, Xinying Wang, Yingyi Xu, Qinglin Yang, Junzheng Peng, Fenghua Wang, Jue Tang, Dongmei Huang, Jiachi Liao, Yunyu He, Lin Huang, Jianhua Liang, Le Li, Zefeng Lin

“…Survival analysis revealed that patients with high GPC3 expression (GPC3+++) exhibited a markedly lower two-year survival rate (30%) compared to moderate (GPC3++, 75%) and low (GPC3+, 90.9%) expression groups (p = 0.0035). …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
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