Comprehensive analysis of endoscopic ultrasound (EUS) in mediastinal lesions: patient characteristics, diagnostic outcomes, safety, and efficacy: a multi-country study by Hussein Okasha, Eyad Gadour, Ghias Un Nabi Tayyab, Andrada Seicean, Elbacha Hicham, Emad Emad, Turki Alamri, Nadeem Tehami, Heero Ismael Faraj, Ahmed Alzamzamy, Hiwa Hussein, Mohammed Tag-Adeen, Mohamed Elbasiony, Abed Al-Lehibi, Shereen Saleh, Zaher Houmani, Mohamed Abdelghani, Khaled Ragab, Zahi Ismaili, Othmane Drir, Elsayed Ghoneem, Omar Abdallah, Souad Rebiai, Nonthalee Pausawasdi, Fedoua Rouibaa, Mohamed Borahma, Hassan Atalla, Mahmoud Farouk, Ahmed Altonbary

“…Abstract Background Mediastinal lesions are tumors that develop mainly from structures commonly located in the three compartments of the mediastinum and the paravertebral areas. …”
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Design and Investigation of Orthogonal Hybrid Dual-Mode Single-CDR-Based MIMO Antenna With High Self-Isolation at 5.8GHz by Samira Mekki, Atul Varshney, Djamel Sayad, Issa Elfergani, Hanane Bendjedi, Mohamed Lamine Bouknia, Rami Zegadi, Jonathan Rodriguez, Merih Palandoken, Kamil Karacuha, Chemseddine Zebiri

“…The orthogonal excited antenna generates orthogonal modes (<inline-formula> <tex-math notation="LaTeX">$\mathrm {H}\mathrm {E}_{11\delta }^{\mathrm {x}}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\mathrm {H}\mathrm {E}_{11\delta }^{\mathrm {y}}$ </tex-math></inline-formula>) with high port-to-port self-isolation (<inline-formula> <tex-math notation="LaTeX">$\lt -21$ </tex-math></inline-formula> dB) without additional mutual coupling reduction structures. The antenna achieved bandwidths are 5.65&#x2013;5.96 GHz (gain: 8.91 dBi) and 5.62&#x2013;5.92 GHz (gain: 8.97 dBi) for Port1 and Port2, respectively. …”
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A framework for social media analytics in textile business circularity for effective digital marketing by Omaymah Almashaleh, Hendro Wicaksono, Omid Fatahi Valilai

“…A mixed-method approach is adopted, merging qualitative insights derived from unstructured data with quantitative techniques. To analyze content, unsupervised machine learning methods, including topic modeling and sentiment analysis, are employed. …”
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Development of a Success Prediction Model for Crowdfunding Based on Machine Learning Reflecting ESG Information by Jiyoung Park, Hyung Jong Na, Hyungjoon Kim

“…&#x2019; Text mining techniques were used to quantify unstructured ESG-related data, and the predictive performance of models including ESG factors was compared with models excluding them. …”
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The needs of relatives of intensive care patients during the transition from the intensive care unit to a general ward in China: a mixed methods study by Tianxiang Jiang, Hongyang Lu, Caiyan Su, Yangling Ge

“…Twelve relatives were interviewed, and the qualitative data were analysed via thematic analysis. Results There were 161 valid responses and 12 relatives participated in unstructured face-to-face interviews. …”
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OrthoticS for TReatment of symptomatic flat feet In CHildren (OSTRICH): a randomised controlled trial by Sarah Cockayne, Kalpita Baird, Sally Gates, Caroline Fairhurst, Joy Adamson, Rachel M Bottomley-Wise, Amie Woodward, Michael R Backhouse, Rachel Bye, Nina Davies, Catherine Hewitt, Colin Holton, Peter Knapp, Anne-Maree Keenan, Stewart Morrison, Daniel Parker, Daniel C Perry, Sarah Ronaldson, Mark Smith, Tim Theologis, Victoria Exley, Jane McAdam, David J Torgerson

“…Misinformation was common emphasising a need for accessible accurate education materials and structured follow-up care. There was a common belief that orthoses were superior to exercises leading to high levels of adherence, satisfaction and outcomes with orthoses compared with poor adherence, and low perceived efficacy with exercises linked to challenges incorporating these into daily routines. …”
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ACHealthChain blockchain framework for access control and privacy preservation in healthcare by Ahmed M. Tawfik, Ayman Al-Ahwal, Adly S. Tag Eldien, Hala H. Zayed

“…ACHealthChain features PolicyChain for fine-grained access control and revocation, structuring patient health data into separate subchains for EHRs and diagnoses with permissioned access. …”
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Teaching Reading Comprehension for Slow Learners by Nur Jaenah

“…The steps to analyze the data using the Milles and Hubberman model through the stages of data reduction, data display, and conclusion drawing/verification of the data and research findings. …”
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Rainfall as an important process for net N gain during the initial phase of natural recovery in karst desertification by Xia Li, Yu Pang, Hengsheng Lao, Linfang Luo, Tongxin He, Guangting Pei, Shuangshuang Xiao, Baoqing Hu, Jianfei Sun

“…We speculate that the three-layer vertical structure of soil–epikarst–bedrock in karst areas induce a complex hydrologic process, prolonging the time of water–soil interaction, and leading to a maximum threshold for hydrologic N losses under high rainfall, which effectively protect soil inorganic N. …”
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Local QSAR based on quantum chemistry calculations for the stability of nitrenium ions to reduce false positive outcomes from standard QSAR systems for the mutagenicity of primary... by Shigeharu Muto, Ayako Furuhama, Mika Yamamoto, Yasuteru Otagiri, Naoki Koyama, Seiji Hitaoka, Yusuke Nagato, Hirofumi Ouchi, Masahiro Ogawa, Kisako Shikano, Katsuya Yamada, Satoshi Ono, Minami Hoki, Fumiya Ishizuka, Soichiro Hagio, Chiaki Takeshita, Hisayoshi Omori, Kiyohiro Hashimoto, Satsuki Chikura, Masamitsu Honma, Kei-ichi Sugiyama, Masayuki Mishima

“…Abstract Background Primary aromatic amines (PAAs) present significant challenges in the prediction of mutagenicity using current standard quantitative structure activity relationship (QSAR) systems, which are knowledge-based and statistics-based, because of their low positive prediction values (PPVs). …”
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Lethal clinical outcome and chemotherapy and immunotherapy resistance in patients with urothelial carcinoma with MDM2 amplification or overexpression by Weijuan Zhang, Jiejie Xu, Hailong Liu, Yu Zhu, Zewei Wang, Han Zeng, Zhaopei Liu, Yuan Chang, Le Xu, Kaifeng Jin, Jingtong Xu, Xiaohe Su, Yawei Ding, Lingkai Zhang, Jiaxing Sun, Yuzhen Wu

“…In addition, UC with MDM2 amplification or overexpression was associated with an immuno-evasive contexture characterized by lower proportion of tertiary lymphoid structure infiltration, lower abundance of CD8+ T cells, IFN-γ+ cells, GZMB+ cells, and decreased expression of immune checkpoint molecules including programmed death-ligand 1 (PD-L1), programmed death-1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4).Conclusions MDM2 amplification or overexpression defines a lethal subset of patients with UC with inferior prognosis and resistance to both platinum-based chemotherapy and immunotherapy irrespective of TP53/p53 status. …”
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PIEZO1 mechanical insensitivity in generalized lymphatic dysplasia with the potential for pharmacological rescue by Melanie J. Ludlow, Oleksandr V. Povstyan, Deborah M. Linley, Silvia Martin-Almedina, Charlotte Revill, Kevin Cuthbertson, Katie A. Smith, Emily Fay, Elisavet Fotiou, Andrew Bush, Claire Hogg, Tobias Linden, Natalie B. Tan, Susan M. White, Juan C. Del Rey Jimenez, Ege Sackey, Esther Dempsey, Sahar Mansour, Gregory Parsonage, Antreas C. Kalli, Richard Foster, Pia Ostergaard, David J. Beech

“…Two of the variants encode amino acid changes in the channel’s cap structure (Ile2270Thr and Arg2335Gln), one in the ninth transmembrane helical unit (THU) below the cap (Gly1978Asp) and one in the fifth THU distant from the cap (Glu829Val). …”
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Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm. by Yoonjung Yoonie Joo, Jennifer A Pacheco, William K Thompson, Laura J Rasmussen-Torvik, Luke V Rasmussen, Frederick T J Lin, Mariza de Andrade, Kenneth M Borthwick, Erwin Bottinger, Andrew Cagan, David S Carrell, Joshua C Denny, Stephen B Ellis, Omri Gottesman, James G Linneman, Jyotishman Pathak, Peggy L Peissig, Ning Shang, Gerard Tromp, Annapoorani Veerappan, Maureen E Smith, Rex L Chisholm, Andrew J Gawron, M Geoffrey Hayes, Abel N Kho

“…<h4>Conclusion</h4>A systematic framework to process unstructured EHR data with NLP could advance a deep and scalable phenotyping for better patient identification and facilitate etiological investigation of a disease with multilayered data.…”
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Machine learning-based coalbed methane well production prediction and fracturing parameter optimization by HU Qiujia, LIU Chunchun, ZHANG Jianguo, CUI Xinrui, WANG Qian, WANG Qi, LI Jun, HE Shan

“…A deep convolutional autoencoder-decoder was applied to unstructured data (e.g., well logs), and the integration of random forest with multi-task learning strategies effectively addressed limited sample sizes and poor generalization, ensuring high prediction accuracy under small-data conditions. …”
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Analysis of ROH Characteristics Across Generations in Grassland-Thoroughbred Horses and Identification of Loci Associated with Athletic Traits by Wenqi Ding, Wendian Gong, Tugeqin Bou, Lin Shi, Yanan Lin, Xiaoyuan Shi, Zheng Li, Huize Wu, Manglai Dugarjaviin, Dongyi Bai

“…Principal component analysis (PCA) and STRUCTURE revealed clear distinctions among the generations, with a notable overlap between CY and F3. …”
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WRF-ELM v1.0: a regional climate model to study land–atmosphere interactions over heterogeneous land use regions by H. Huang, Y. Qian, G. Bisht, J. Wang, T. Chakraborty, D. Hao, J. Li, T. Thurber, B. Singh, Z. Yang, Y. Liu, P. Xue, P. Xue, W. J. Sacks, E. Coon, R. Hetland

“…It maintains the integrity of ELM's source code structure and facilitates the transfer of future developments in ELM to WRF-ELM.…”
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Sleep disturbances in SCN8A‐related disorders by Francesca Furia, Katrine M. Johannesen, Claudia M. Bonardi, Roberto Previtali, Angel Aledo‐Serrano, Massimo Mastrangelo, Jacopo Favaro, Silvia Masnada, Valentina diMicco, Jacopo Proietti, Pierangelo Veggiotti, Guido Rubboli, Gaetano Cantalupo, Kern Olofsson, Rikke S. Møller, Elena Gardella

“…Polysomnographic recordings (9 patients/20 nights) showed an altered sleep structure in 95%, with frequent arousals, mainly not seizure related. …”
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Impact of Thermal-Induced Turbulent Distribution Along FSO Link on Transmission of Photonically Generated mmW Signals in the Frequency Range 26&#x2013;40 GHz by Luis Vallejo, Matej Komanec, Beatriz Ortega, Jan Bohata, Dong-Nhat Nguyen, Stanislav Zvanovec, Vicenc Almenar

“…The results show high electrical power decrease and fluctuation of the generated mmW signal according to the particular level of the turbulence in terms of refractive index structure parameter and thermal distribution along the FSO link. …”
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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

“…The composition and structure of the bacteria at these three body sites were well characterized and found to differ regionally. …”
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Functional Connectivity Changes in Primary Motor Cortex Subregions of Patients With Obstructive Sleep Apnea by Lifeng Li, Qimeng Shi, Bowen Fang, Yuting Liu, Xiang Liu, Yongqiang Shu, Yingke Deng, Yumeng Liu, Haijun Li, Junjie Zhou, Dechang Peng

“…This study examined functional connectivity (FC) changes in subregions of the primary motor cortex (M1) in patients with OSA and their association with sleep structure, cognition, and clinical features. Methods Sixty‐five patients with OSA and 65 healthy controls (HC) participants matched in age and educational background were included. …”
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