CRISPR-Cas- and Aptamer-based Systems for Diagnosing Pathogens: A Review by Helin Yu, Wenwen Jing, Xunjia Cheng

“…Finally, we discuss Cas14-based tools as functionally stronger platforms for the detection of non-nucleic acid targets.…”
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Standard: human liver-on-a-chip by Haitao Liu, Xu Zhang, Yaqing Wang, Min Zhang, Peng Wang, Jing Shang, Zhongqiang Li, Likun Gong, Xin Xie, Dongyang Liu, Jingbo Pi, Xinghua Gao, Xianliang Li, Wei Ding, Dianbing Wang, Yun Long, Lan Wang, Song Li, Xingchao Geng, Pingkun Zhou, Wanjin Tang, Xian’en Zhang, Chunying Chen, Shengli Yang, Jianhua Qin

“…However, the lack of standardized definitions, structural designs, cell sources, model constructions, and functional validations has posed challenges to their widespread translational applications. …”
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Comparative analysis of microwave indices for freeze/thaw state monitoring and adaptive thresholding implications by Zhicheng Yang, Tianjie Zhao, Qingfeng Wang, Lihua Peng, Youhua Ran, Yu Bai, Jingyao Zheng, Panpan Yao, Zhiqing Peng, Jinbiao Zhu, Xiaokang Kou, Yuei-An Liou, Jiancheng Shi

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Bronchial asthma in children of Ukraine: medical and environmental parallels of morbidity and prevalence by O. P. Volosovets, Y. K. Bolbot, S. P. Kryvopustov, O. V. Mozyrska, M. V. Kryvopustova, M. P. Prokhorova, A. V. Kupkina

“…Over the past 25 years in Ukraine there has been 69.3% increase in prevalence and 22.9% increase in incidence of bronchial asthma among children. Predominance of detecting this pathology was in the group of children from large industrial and agro-industrial regions of the country with significant volumes of atmospheric pollutants from stationary sources of pollution.…”
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The Diversity of Cold Worlds: A Blended-light Binary Straddling the T/Y Transition in Brown Dwarfs by Daniella C. Bardalez Gagliuffi, Jacqueline K. Faherty, Genaro Suárez, Sherelyn Alejandro Merchan, Brianna Lacy, Ben Burningham, Klara Matuszewska, Rocio Kiman, Johanna M. Vos, Austin Rothermich, Jonathan Gagné, Caroline Morley, Melanie J. Rowland, Dan Caselden, Aaron Meisner, Adam C. Schneider, Marc J. Kuchner, Charles A. Beichman, Peter R. Eisenhardt, Christopher R. Gelino, Ehsan Gharib-Nezhad, Eileen C. Gonzales, Federico Marocco, Niall Whiteford, J. Davy Kirkpatrick

“…Carbon disequilibrium chemistry strongly shapes the mid-infrared spectra of these sources, as a complex function of the metallicity and surface gravity. …”
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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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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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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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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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Treatment outcomes and associated factors of stroke in Ethiopia: a systematic review and meta-analysis by Addisu Getie, Shirin Jahan Mumu, Amit Arora

“…Subgroup analysis, meta-regression, and sensitivity analysis were computed to investigate the source of heterogeneity. A log odds ratio was employed to ascertain the association between poor (stroke patients who died or were discharged with significant functional and structural dysfunction) stroke treatment outcomes and associated factors. …”
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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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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…The system comprises four functional modules including multi-channel active surveillance, intelligent early warning, data-driven risk assessment, and smart emergency response. …”
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The Role of High-mass Stellar Binaries in the Formation of High-mass Black Holes in Dense Star Clusters by Ambreesh Khurana, Sourav Chatterjee

“…Recent detections of gravitational waves from mergers of binary black holes (BBHs) with premerger source-frame individual masses in the so-called upper mass gap, expected due to (pulsational) pair instability supernovae ((P)PISNe), have created immense interest in the astrophysical production of high-mass black holes (BHs). …”
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Identification of positive selection signatures associated with milk and composition traits in Murciano-Granadina and Barki by Hossein Mohammadi, amir hossien khaltabadi farahani, Mohammad Hossein Moradi

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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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Thermally radiative water-based hybrid nanofluid with nanoparticles and gyrotactic microorganisms past a stretching surface with convective conditions and porous media by Humaira Yasmin, Rawan Bossly, Fuad S. Alduais, Afrah Al-Bossly, Anwar Saeed

“…The greater magnetic, Brownian motion, heat source, thermal radiation factors, and thermophoresis factors have increased the heat transfer rate. …”
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