The impact of dyadic interventions on psycho-social outcomes for stroke patients and their caregivers: a systematic review and meta-analysis by Xinyue Xing, Liping Pu, Wanyue Hu, Yu Xiao, Hongling Xiao

“…AimsTo describe the details of dyadic interventions and summarize the current evidence on supporting dyadic interventions for psycho-social outcomes of stroke patients and their caregivers.DesignA systematic review and meta-analysis based on PRISMA guidelines.Data sourcesFive English databases (PubMed, Web of Science, CINAHL, Embase and Cochrane Library) were searched to identify eligible studies published from the inception to October 15, 2024.MethodsTwo reviewers independently screened the literature in accordance with the selection criteria. …”
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3D-MRI brain glioma intelligent segmentation based on improved 3D U-net network. by Tingting Wang, Tong Wu, Defu Yang, Ying Xu, Dongyang Lv, Tong Jiang, Hengjiao Wang, Qi Chen, Shengnan Xu, Ying Yan, Baoguang Lin

“…This method offers significant guidance for medical diagnosis, grading, and treatment strategy selection.<h4>Methods</h4>Glioma case data were sourced from the BraTS2023 public dataset. …”
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A novel efferocytosis-related gene signature for predicting prognosis and therapeutic response in bladder cancer by Weitao Yu, Dongnuan Yao, Xueming Ma, Juanjuan Hou, Junqiang Tian

“…Abstract Efferocytosis, the process by which phagocytes like macrophages and dendritic cells clear apoptotic cells, is crucial for maintaining tissue homeostasis. However, its function in bladder cancer (BLCA) remains unclear and warrants further exploration. …”
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Activity tracking devices in pregnancy: Understanding the participant experience in a longitudinal birth cohort by Ashley Redding, Dionne Coates, Andrea E. Cassidy-Bushrow, Jennifer K. Straughen, Sara Santarossa

“…REACH-Fitbit participants had to be <20 weeks gestation with access to a Bluetooth-enabled device. Recruitment (self-selection) for focus groups occurred from completed REACH-Fitbit participants (e.g., delivered their baby). …”
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When, where, and how prey pair antipredator behaviors to natural and anthropogenic mortality risks by Michael E. Egan, Abigail M. Weber, Nicole Gorman, Michael W. Eichholz, Daniel Skinner, Peter E. Schlichting, Guillaume Bastille-Rousseau

“…We used hidden Markov models to determine whether each covariate impacted the probability of transitioning between behavioral states and selection functions to determine whether deer spatially avoided each covariate. …”
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Quantifying degradation in animal acoustic signals with the R package baRulho by Marcelo Araya‐Salas, Erin E. Grabarczyk, Marcos Quiroz‐Oliva, Adrián García‐Rodríguez, Alejandro Rico‐Guevara

“…Abstract Animal acoustic signals are shaped by selection to convey information based on their tempo, intensity, and frequency. …”
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Transcriptome Analysis Reveals the Pivotal Genes and Regulation Pathways Under Cold Stress and Identifies <i>SbERF027</i>, an AP2/ERF Gene That Confers Cold Tolerance in Sorghum by Qijin Lou, Peifeng Wang, Miao Yu, Zhigan Xie, Chen Xu, Shengyu Chen, Hao Yu, Rui Zhang, Guangling Tian, Di Hao, Xianshi Ke, Shuai Yu, Jiajia Zhou, Yao Zhao, Chao Ye, Jiyuan Guo, Haiyan Zhang, Mo Chen, Xingbei Liu

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Study on the mechanism of Buzhong Yiqi Decoction in the treatment of rectal prolapse: related analysis of single-cell transcriptome sequencing based on surgical excision specimens by Chen Huaxian, Xiao Guozhong, Liu Fang, Lin Hongcheng

“…One patient in each group was selected as the sample source for analysis, and the related analysis of single-cell transcriptome sequencing was performed. …”
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Application of deep learning for diagnosis of shoulder diseases in older adults: a narrative review by Sung Min Rhee

“…Shoulder diseases pose a significant health challenge for older adults, often causing pain, functional decline, and decreased independence. This narrative review explores how deep learning (DL) can address diagnostic challenges by automating tasks such as image segmentation, disease detection, and motion analysis. …”
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MGSurvE: A framework to optimize trap placement for genetic surveillance of mosquito populations. by Héctor M Sánchez C, David L Smith, John M Marshall

“…For these projects, monitoring will be required to detect unintended spread of gene drive mosquitoes beyond field sites, and the emergence of alternative alleles, such as drive-resistant alleles or non-functional effector genes, within intervention sites. …”
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Implementation of a wireless sensor network for irrigation management in drip irrigation systems by Mehmet Kamil Meriç

“…By providing real-time data and remote-control capabilities, the integrated system offers a tool for optimizing water usage and conserving water resources.…”
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The challenge of triple intestinal parasite infections in immigrants—A call for comprehensive differential diagnosis by Emmanuel Edwar Siddig, Ayman Ahmed

“…This case highlights the necessity of heightened awareness, early detection, and effective management of parasitic infections to enhance public health efforts and minimize the spread of these diseases. …”
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Prokaryotic microbial compositions and physicochemical characteristics of Huangshui, a by-product of Baijiu fermentation by TANG Yanping, GAO Xiubing, NI Jie, ZHANG Fengqin

“…Huangshui is a by-product of solid-state fermentation Baijiu that has abundant microbial resources. In this study, the similarities and differences in physicochemical properties and prokaryotic microbial structures among different sources of Huangshui were comprehensively analyzed by physicochemical detection methods and high-throughput sequencing technology. …”
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Spatial distribution characteristics and influencing factors of milk tea stores in Wuhan based on sDNA and OPGD models. by Wentao Yang, Xinrui Zhan, Dinghui Liu, Huade Zhu

“…We then examined the influencing factors by combining spatial design network analysis, optimal parameters-based geographical detection, and location-based service big data. Our results revealed the following: (1) The spatial distribution of stores was concentrated in areas with high closeness and betweenness centrality, forming a multi-core "northwest-southeast" distribution pattern with significant spatial positive correlation. (2) The stores' spatial pattern was influenced by the road network betweenness and the presence of office buildings, shopping malls, shopping centers, and tourism resources. …”
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Development of Cyber Security Platform for Experiential Learning by Abhishek Vaish, Ravindra Kumar, Samo Bobek, Simona Sternad

“…The present research proposes a comprehensive web-based platform that can be used to communicate, collaborate and practice various use cases in the domain of network intrusion detection tools using machine learning algorithms and to evaluate user experience. …”
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A mmWave JCAS System for Real-Time High-Data Rate Communication and RADAR Sensing by Markus Petri, Nebojsa Maletic

“…This paper presents a real-time millimeter-wave (mmWave) joint communication and sensing (JCAS) system, supporting bi-directional data communication with up to 5.8 Gbit/s coded data rate as well as mono-static radio detection and ranging (RADAR) with a range resolution of 6.7 cm and up to 2.1 kHz sensing rate. …”
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Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation by Md Abdullah Al Mamun, Mei Li, Bijon Kumar Pramanik, Faisal Hussain, A. Z. M. Shakilur Rahman

“…Our enhanced MDSVA introduces a sophisticated five-component validation function that simultaneously addresses drift and noise compensation, environmental adaptation, periodic variations, dynamic thresholds, and transient adjustments. …”
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LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models by Chuwen Zhang, Yong He, Jieni Wang, Tengkai Chen, Federico Baltar, Minjie Hu, Jing Liao, Xi Xiao, Zhao-Rong Li, Xiyang Dong

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Enhanced propionate and butyrate metabolism in cecal microbiota contributes to cold-stress adaptation in sheep by Xindong Cheng, Yanping Liang, Kaixi Ji, Mengyu Feng, Xia Du, Dan Jiao, Xiukun Wu, Chongyue Zhong, Haitao Cong, Guo Yang

“…By contrast, Hulunbuir sheep exhibit changes in microbial diversity and function, leading to increased propionate and butyrate metabolism. …”
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Submillimeter and Mid-infrared Variability of Young Stellar Objects in the M17 H II Region by Zhiwei Chen, Doug Johnstone, Carlos Contreras Peña, Jeong-Eun Lee, Sheng-Yuan Liu, Gregory Herczeg, Steve Mairs, Geumsook Park, Kee-Tae Kim, Mi-Ryang Kim, Keping Qiu, Yao-Te Wang, Xu Zhang, Megan Reiter, The JCMT Transient Team

“…This mid-IR fractional variability as a function of evolutionary stage result is similar to what has previously been found for YSO variability within the Gould Belt and the intermediate-mass star formation region M17 SWex, though overall less variability is detected in M17 in submillimeter and mid-IR. …”
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