Development of a water level monitoring and control system for pumping stations in agricultural systems by Iug Lopes, Jhuliana Mércia Assis Nascimento, Rafael Souza Barbosa, Marcelo Rocha dos Santos, Rafael Dias Heydt, Elias Guimarães Miranda Barbosa da Silva, Juliana Maria Medrado de Melo, Lucas Melo Vellame, JJoão Luis Mendes Pedroso de Lima, Miguel Julio Machado Guimarães

“…Google Sheets was used for accurate data analysis. The control system includes a contactor, thermal relay, bipolar circuit breaker, simple control relay (activated by the ESP32), and two buttons — one normally closed and one normally open. …”
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YAP1 preserves tubular mitochondrial quality control to mitigate diabetic kidney disease by Siyang Ye, Meng Zhang, Xunhua Zheng, Suchun Li, Yuting Fan, Yiqin Wang, Huajing Peng, Sixiu Chen, Jiayi Yang, Li Tan, Manhuai Zhang, Peichen Xie, Xiaoyan Li, Ning Luo, Zhipeng Wang, Leigang Jin, Xiaoping Wu, Yong Pan, Jinjin Fan, Yi Zhou, Sydney C.W. Tang, Bin Li, Wei Chen

“…Receiver operating characteristic curve analysis unequivocally underscores the robust diagnostic accuracy of YAP1 and MQC-related genes for DKD. …”
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High serum CA19-9 predicts severe cholecystitis in calculous cholecystitis patients by Shouwen Wang, Dachen Zhou, Wanjin Chen, Qi Guo, Liujin Hou, Ruolin Wu, Wei Wang, Muhammad Annus Khan, Muhammad Ahmad, Fan Huang, Meijuan Zheng, Guobin Wang, Hongchuan Zhao, Xiaoping Geng, Xiaojun Yu

“…Methods Total 105 calculous cholecystitis patients from first hospital were collected and divided into high serum CA19-9 group(high group, n = 35) and normal serum CA19-9 group(normal group, n = 70). Perioperative data including blood cell count, inflammatory markers, liver function, imaging and operation-related parameters from these patients were collected for analysis and verified with second group of 105 calculous cholecystitis patients from second hospital. …”
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³Cat-8 Mission: A 6-Unit CubeSat for Ionospheric Multisensing and Technology Demonstration Test-Bed by Luis Contreras-Benito, Ksenia Osipova, Jeimmy Nataly Buitrago-Leiva, Guillem Gracia-Sola, Francesco Coppa, Pau Climent-Salazar, Paula Sopena-Coello, Diego Garcín, Juan Ramos-Castro, Adriano Camps

“…This paper presents the mission analysis of ³Cat-8, a 6-Unit CubeSat mission being developed by the UPC NanoSat Lab for ionospheric research. …”
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Red blood cell distribution width-to-monocyte ratio for predicting 90-day mortality of COVID-19 in patients with chronic kidney disease during the Omicron period: a prospective sin... by Chaofan Li, Yue Niu, Dinghua Chen, Zhe Feng, Fei Liu, Yong Wang, Xueying Cao, Jie Wu, Jiabao Liu, Xuefeng Sun, Li Zhang, Guangyan Cai, Ping Li, Xiangmei Chen

“…Demographics, clinical data, and laboratory and radiographic findings were collected, and multiple logistic regression, subgroup analysis, and receiver operating characteristic (ROC) curve analysis were performed. …”
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Development and validation of a diabetes mellitus and prediabetes risk prediction function for case finding in primary care in Hong Kong: a cross-sectional study and a prospective... by Kathryn Choon Beng Tan, Carlos King Ho Wong, Esther Yee Tak Yu, Cindy Lo Kuen Lam, Emily Tsui Yee Tse, Weng Yee Chin, David Vai Kiong Chao, Eric Ho Man Tang, Weinan Dong, Will Ho Gi Cheng, Yuqi Mi, Laura Elizabeth Bedford, Welchie Wai Kit Ko

“…This study aims to develop and validate a risk prediction function that incorporates modifiable lifestyle factors to detect DM and pre-DM in Chinese adults in primary care.Methods and analysis A cross-sectional study to develop DM/Pre-DM risk prediction functions using data from the Hong Kong’s Population Health Survey (PHS) 2014/2015 and a 12-month prospective study to validate the functions in case finding of individuals with DM/pre-DM. …”
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The protein interaction of mitochondrial transcription factors A and B2 is associated with 30-day survival in critical COVID-19 by Britta Westhus, Patrick Thon, Lars Palmowski, Katharina Rump, Björn Koos, Frederik Wiebel, Birte Dyck, Martin Eisenacher, Martin Eisenacher, Barbara Sitek, Barbara Sitek, Stephanie Pfaender, Stephanie Pfaender, Nina Babel, Moritz Anft, Christian Putensen, Stefan Felix Ehrentraut, Christina Weisheit, Alexander Zarbock, Thilo von Groote, Andrea Witowski, Matthias Unterberg, Hartmuth Nowak, Hartmuth Nowak, Alexander Wolf, Lars Bergmann, Michael Adamzik, Dominik Ziehe, Tim Rahmel

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Clinical application of kangfuxin liquid combined with metronidazole after impacted mandibular third molar extraction by SHOU Wangjin, CHEN Guoyong

“…Seven days after the operation, the GQOLI-74 scores of all three groups were higher than those before the operation (P<0.05). …”
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Differential Profiles of Gut Microbiota-Derived Metabolites of Bile Acids and Propionate as Potential Predictors of Depressive Disorder in Women with Morbid Obesity at High Risk of... by Joanna Michalina Jurek, Belen Xifré, Elena Cristina Rusu, Helena Clavero-Mestres, Razieh Mahmoudian, Carmen Aguilar, David Riesco, Javier Ugarte Chicote, Salomé Martinez, Marga Vives, Fàtima Sabench, Teresa Auguet

“…Patients were stratified according to the presence of DD. Analysis with Spearman’s rank test was used to assess correlations and logistic regression models were built to evaluate biomarkers as predictors of DD risk using both receiver operating characteristic (ROC) and precision–recall curves. …”
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The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review by Jingguo Qu, Xinyang Han, Man-Lik Chui, Yao Pu, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

“…The introduction of deep learning technologies offers new possibilities for improving the accuracy of lymph node image analysis. This study evaluates the application of deep learning in lymph node segmentation and discusses the methodologies of various deep learning architectures such as convolutional neural networks, encoder-decoder networks, and transformers in analyzing medical imaging data across different modalities. …”
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Comparison of orthofix external fixator combined with vascularized fibula graft versus single segmental femoral lengthening for treating femoral defects ≥ 6 cm: a retrospective stu... by Yiliyaer Wumaierjiang, Yimurang Hamiti, Ainizier Yalikun, Aihemaitijiang Yusufu

“…Methods The follow - up data of 72 patients with femoral defects, who received treatment from January 2009 to May 2019, were collected for retrospective analysis. …”
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Non-invasive electrophysiological monitoring vs conventional monitoring during labour in a tertiary obstetric care centre in the Netherlands: study protocol of a cohort interventio... by S G Oei, P B Q Berben, N D de Klerk, M van der Ven, A F Fransen, H J Niemarkt, E R van den Heuvel, M B van der Hout-van der Jagt, J O E H van Laar

“…This study aims to investigate whether electrophysiological monitoring during labour affects the number of operative interventions compared with conventional monitoring during labour.Methods and analysis This is a single-centre cohort intervention random sampling study which will be performed in a tertiary obstetric care centre. …”
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Building a risk prediction model for anastomotic leakage postoperative low rectal cancer based on Lasso-Logistic regression by Zhenhao Quan, Lin Lin, Renwei Huang, Kaiyu Sun, Feipeng Xu

“…Lasso-Logistic regression analysis showed that when the penalty coefficient λ = 0.02735463, the model demonstrated good performance, gender (OR = 3.107), NRS2002 score (OR = 8.619), protective stoma (OR = 0.297), distance from tumor to anal verge (OR = 0.284), operation time (OR = 1.033) were the influencing factors of postoperative AL in low rectal cancer (P < 0.05). …”
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Optimizing ERAS protocols in robotic nephron-sparing surgery: a randomized trial by Yiqiang Wang, Mangmang He, Lulu Lou

“…All analyses adhered to the modified intention-to-treat principle using the full analysis set (FAS), and no imputation was made for missing data. …”
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Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy by Sonia Hermoso‐Durán, Nicolas Fraunhoffer, Judith Millastre‐Bocos, Oscar Sanchez‐Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez‐Campoy, Olga Abian

“…An innovative approach based on differential scanning calorimetry (DSC) of blood serum samples, thermal liquid biopsy (TLB), combined with machine‐learning (ML) analysis, may offer a more efficient method for diagnosing PDAC. …”
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An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children by Mengyu Duan, Zhimin Geng, Lichao Gao, Yonggen Zhao, Zheming Li, Lindong Chen, Pekka Kuosmanen, Guoqiang Qi, Fangqi Gong, Gang Yu

“…We collected demographic and laboratory data from 3650 patients (2299 with KD, 1351 with similar symptoms but different diseases) and employed 10 ML algorithms to construct the diagnostic model. …”
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SAUNAS. II. Discovery of Cross-shaped X-Ray Emission and a Rotating Circumnuclear Disk in the Supermassive S0 Galaxy NGC 5084 by Alejandro S. Borlaff, Pamela M. Marcum, Pasquale Temi, Nushkia Chamba, S. Drew Chojnowski, Enrique Lopez-Rodriguez, Aneta Siemiginowska, Seppo Laine, Anton M. Koekemoer, Kelly N. Sanderson, Audrey F. Dijeau, Moire K. M. Prescott, Leslie Proudfit, Michael N. Fanelli

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Computer-simulated mirror osteotomy in the treatment of post-traumatic cubitus varus deformity in children by WenQiang Xu, YongFei Fan, XiuLin Ma, JianQiang Zhang, WenZhi Bi, ChaoYu Liu, Wei Wang

“…Methods A retrospective analysis was conducted on the data of 26 patients with cubitus varus deformity who were admitted between June 2019 and June 2024. …”
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Impact of length of stay on diagnostic yield in the epilepsy monitoring unit: A multi‐center retrospective 12‐year Veterans Health Administration study by Maximillian S. Feygin, Autumn Smith, Sruthi Gopinath Karicheri, Khadar Haroun, Omar Khan, Maria R. Lopez, Stephan Eisenschenk, John Jones, Stephanie Reeder, Alan R. Towne, Christopher Ransom, Karen Medin, James Chen, Tung Tran, Nina I. Garga, Noemi Rincon‐Flores, Marissa Kellogg, Steven Tobochnik, Zulfi Haneef, the Veterans Epilepsy Learning, Collaborative Research, and Operations (VELCRO) investigators

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Predicting Survival in Patients with Neuroendocrine Prostate Cancer: A SEER-Based Comprehensive Study by Tianlong Luo, Jintao Hu, Bisheng Cheng, Peixian Chen, Jianhan Fu, Haitao Zhong, Jinli Han, Hai Huang

“…The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. …”