Interpretable machine learning models for predicting in-hospital mortality in patients with chronic critical illness and heart failure: A multicenter study by Min He, Yongqi Lin, Siyu Ren, Pengzhan Li, Guoqing Liu, Liangbo Hu, Xueshuang Bei, Lingyan Lei, Yue Wang, Qianghong Zhang, Xiaocong Zeng

“…The SVM model demonstrated substantial predictive accuracy, with AUROC values of 0.781 and 0.675 in the derivation and validation cohorts. …”
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DP600 Steel Stampability Analysis Through Microstructural Characterization by Electron Backscatter Diffraction and Nanoindentation by Rafael Guetter Bohatch, Alex Raimundo de Oliveira, Chetan P. Nikhare, Ravilson Antonio Chemin Filho, Paulo Victor Prestes Marcondes

“…Different regions of a stamped component, such as the flange, the body wall, and the punch pole, are subjected to different states of stress and deformation, determined by numerous process variables, such as friction/lubrication and tool geometry, in addition to blank holder force and drawbead geometry, which induce the material to different deformation modes. …”
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Antibiotic resistance patterns of environmental bacteria from sewage water in Vellore, India: isolation, virulence analysis, and characterization by Surbhi Kumari Barnwal, Arabi Mohammed Saleh

“…Most of the isolates exhibited multidrug resistance (MDR), with notable variability in MIC values (p < 0.05). Pandoraea sp. strain VITSA19 displayed the highest resistance to all the tested antibiotics (≥4,096 μg/mL for amoxicillin, ≥512 μg/mL for meropenem and ≥4,096 μg/mL for vancomycin). …”
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Study of water pollution parameters in the dry and rainy seasons on the pollution index of the Mesuji River, Lampung, Indonesia by Abu Rosid Istomi, Suharso, Buhani, Tugiyono, Heri Satria, Emi Artika, Annisaa Siti Zulaicha

“…Background: The Mesuji River is a vital natural water resource, yet increasing human activities have resulted in significant pollution through chemical, physical, and biological contamination. This study aimed to assess the water quality of the Mesuji River by analyzing key variables: TSS (Total Suspended Solids), pH, BOD (Biochemical Oxygen Demand), COD (Chemical Oxygen Demand), DO (Dissolved Oxygen), phosphate, fecal coliform, total coliform, and heavy metals. …”
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Association between the development of sepsis and the triglyceride-glucose index in acute pancreatitis patients: a retrospective investigation utilizing the MIMIC-IV database by Lin Xu, Xuejing Li, Na Zhang, Chunmei Guo, Pan Wang, Min Gao, Yanhui Zhang, Lixin Zhao

“…In an effort to enhance clinical care and early warning systems, this study examined the association between the TyG index and sepsis risk with the aim of improving clinical care and early warning systems. …”
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Effect of nutrient sources on bench scale vinegar production using response surface methodology Efeito das fontes de nutrientes sobre a produção de vinagre em escala de bancada, us... by Joelma M. Ferreira, Ramdayal Swarnakar, Flávio L. H. da Silva

“…The experimental values are well represented by the linear and quadratic model equations obtained. …”
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Histological characteristics and functional properties of red and white parts of <i>m. semitendinosus</i> of slaughter pigs by A. A. Semenova, V. A. Pchelkina, V. V. Nasonova, S. I. Loskutov, N. V. Bogolyubova, R. V. Nekrasov, A. A. Motovilina, Yu. I. Bogdanova

“…The dark part of m. semitendinosus had higher pH values (р&lt;0.05) both for raw and cooked samples. …”
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Sleep duration, sleep quality and new markers of insulin resistance in obese subjects by Damiano Siligato, Annalisa Giandalia, Giulia Basile, Oana Ruxandra Cotta, Letterio Giorgianni, Federica Galletta, Irene Aricò, Sakvatore Cannavò

“…However, the link between duration, quality of sleep and new markers of insulin resistance (IR) in obesity is still unclear. Aim: To evaluate sleep duration and quality in a group of overweight/obese subjects and their association with metabolic variables and IR markers. …”
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X-linked hypophosphatemic rickets and nephrocalcinosis: clinical characteristics of a single-center pediatric cohort in North America before and after burosumab by Neil J. Paloian, Lindsey R. Boyke-Lohmann, Lindsey R. Boyke-Lohmann, Robert D. Steiner

“…Two children developed NC while receiving conventional therapy and one while prescribed burosumab. None of the variables, including a positive family history of XLH, average age at diagnosis of XLH, duration or dosage of treatment with conventional therapy, average age at the initiation of burosumab, and all measured laboratory values, were significantly different between the groups with and without NC. …”
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Circulating ACTH and Cortisol Investigations in Standardbred Racehorses Under Training and Racing Sessions by Cristina Cravana, Pietro Medica, Esterina Fazio, Katiuska Satué, Giacoma Brancato, Deborah La Fauci, Giuseppe Bruschetta

“…Based on this statement, the aim of this study is to evaluate the circulating adrenocorticotropin and cortisol changes in Standardbred trotters, after training and racing sessions, considering the different age and sex. …”
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Does Position Affect Reduction? Comparison of the Effects of Three Different Positions on Reduction in Intertrochanteric Femur Fracture Nailing by Nezir Okumuş, Ahmet Nadir Aydemir

“…It also aimed to compare them in terms of radiology. This study investigated the effects of three different patient positions on fracture reduction, a topic rarely encountered in the literature. …”
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Awareness among Women about Epidural Analgesia in Riyadh, Saudi Arabia by Sarah W. Alnosaier, Asrar A. Alahmadi, Sarah W. Alnafe, Bandar S. Alshehry

“…Epidural analgesia (EA) is an important technique for relieving labor pain. This study aims to assess the awareness of women in Riyadh, Saudi Arabia, regarding the use of EA during labor and to explore ways to improve this awareness. …”
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Scalable Clustering of Complex ECG Health Data: Big Data Clustering Analysis with UMAP and HDBSCAN by Vladislav Kaverinskiy, Illya Chaikovsky, Anton Mnevets, Tatiana Ryzhenko, Mykhailo Bocharov, Kyrylo Malakhov

“…Each dataset includes 153 ECG and heart rate variability (HRV) features, including both conventional and novel diagnostic parameters obtained using a Universal Scoring System. …”
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A Mobile App–Based Intervention (Parentbot–a Digital Healthcare Assistant) for Parents: Secondary Analysis of a Randomized Controlled Trial by Joelle Yan Xin Chua, Mahesh Choolani, Cornelia Yin Ing Chee, Huso Yi, Joan Gabrielle Lalor, Yap Seng Chong, Shefaly Shorey

“…A mobile app–based intervention entitled Parentbot–a Digital Healthcare Assistant (PDA) was developed and evaluated via a randomized controlled trial. PDA aimed to provide informational, socioemotional, and psychological support to parents across the perinatal period. …”
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Modeling and validation of wearable sensor-based gait parameters in Parkinson’s disease patients with cognitive impairment by Guo Hong, Guo Hong, Fengju Mao, Fengju Mao, Mingming Zhang, Fei Zhang, Fei Zhang, Xiangcheng Wang, Kang Ren, Kang Ren, Zhonglue Chen, Zhonglue Chen, Xiaoguang Luo, Xiaoguang Luo

“…A total of 38 clinically relevant variables were collected, including demographic data, medical history, cognitive scale scores, and gait data captured by wearable sensors. …”
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Impact of three sequential orthogeriatric care models on time to surgery after hip fracture: a retrospective study by Sabine Drevet, Jérôme Tonetti, Pierre Bouzat, Mehdi Boudissa, Jules Greze, Olga Fajfrova, Laure Allan-Pattoglia, Frederic Olive, Magali Bouisse, Bastien Boussat, Catherine Bioteau, Gaetan Gavazzi

“…Comparisons between groups at baseline were performed using the Kruskal–Wallis test for continuous variables or the Chi2 test for nominal variables. The significative threshold was set at 0.05. …”
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Individual and community level determinants of unmeet pregnancy complication education among pregnant ANC visitor women in Sub-Saharan Africa: a multilevel analysis of the recent d... by Alemneh Tadesse Kassie, Alebachew Ferede Zegeye, Enyew Getaneh Mekonen, Belayneh Shetie Workneh, Mulugeta Wassie, Tadesse Tarik Tamir, Berhan Tekeba, Almaz Tefera Gonete, Tewodros Getaneh Alemu, Masresha Asmare Techane, Mohammed Seid Ali

“…Significance was determined at p-values < 0.05, with results interpreted through AOR &CI. …”
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Machine-learning model for predicting left atrial thrombus in patients with paroxysmal atrial fibrillation by Wanli Xiong, Qiqi Cao, Lu Jia, Min Chen, Tao Liu, Qingyan Zhao, Yanhong Tang, Bo Yang, Li Li, Shaobo Shi, He Huang, Congxin Huang, China Atrial Fibrillation Center Project Team

“…Calibration analysis indicated no significant difference between predicted and observed values (p = 0.181). The median predicted probabilities of LAT across quintiles were 2.3%, 7.0%, 11.8%, 16.6%, and 21.5%. …”
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Cardiometabolic risk in non-diabetic metabolic dysfunction-associated steatotic liver disease (MAFLD) patients: insights from the triglyceride-glucose, plasma atherogenic, and card... by Sedat Ciftel, Serpil Çiftel, Ahmed R. Baykan, Serkan Cerrah, Enver Çiftel, Filiz Mercantepe

“…The PAI and CMI cutoff values were 0.39 and 1.40, with sensitivities of 66.6% and 70.1% and specificities of 67.0% and 70.1%, respectively. …”
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Impact of Product, Process, Organisational, and Marketing Innovation on Micro, Small and Medium Scale Enterprises' Sustainability by Erna Listyaningsih, Yuliansyah Yuliansyah, Rissa A. Martinouva, Febrianty Febrianty, Muazza Muazza, Shofia Amin, Etty Puji Lestari, Amirul Mukminin

“…Objective: This study aimed to investigate how innovation, sustainability, and performance function as moderators in Micro, Small, and Medium-Scale Enterprises (MSMES). …”
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