Phase angle in bioelectrical impedance analysis for assessing congestion in acute heart failure. by Sangho Sohn, Jinsung Jeon, Ji Eun Lee, Soo Hyung Park, Dong Oh Kang, Eun Jin Park, Dae-In Lee, Jah Yeon Choi, Seung Young Roh, Jin Oh Na, Cheol Ung Choi, Jin Won Kim, Seung Woon Rha, Chang Gyu Park, Sunki Lee, Eung Ju Kim

“…<h4>Methods</h4>PhA was measured in 50 patients with HF and 20 non-HF controls along with the edema index (EI), another BIA parameter suggestive of edema. Chest computed tomography-measured lung fluid content (LFC) was used to assess pulmonary congestion. …”
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Assessment Of Heavy Metals Concentration and Pollution Indices Of Surface Water In Enerhen River, Warri South LGA, Delta State, Nigeria by A. O. Egai, M. Paaru

“…Data obtained show that the result indicated the concentration of Zinc 0.065mg/l - 0.190mg/l, Pb (0.003mg/l -0.142mg/l), Cu (0.081mg/l - 0.213mg/l), Cd (0.02mg/l - 0.282mg/l, Cr (0.041mg/l - 0.171mg/l), Fe (0.162mg/l - 0.278mg/l) and Ni (0.104mg/l - 0.762mg/l)  comparison with WHO 2012 permissible limit the probed water sample falls within the allowable concentration of the standard except the  concentration of lead (Pb) in SW1, SW2, SW4 and SW5 which is a  concern because it exceeded the allowable limit, lead is considered toxic to human at higher concentrations . The computed indices for the maximum admissible concentration upper permissible values buttress as follows Zn 0.3MAC, Pb 0.01MAC, Cu 2MAC, Cd 0.01MAC, Cr 0.05MAC, Fe, 0.3MAC and Ni 0.02MAC. …”
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CT-based skeletal muscle loss predicts long term prognosis in patients with distal cholangiocarcinoma undergone pancreaticoduodenectomy by Guangzhen Qu, Shao-Cheng Lyu, Yong Zhang, Kun Gao, Chuanguo Zhou

“…The cross-sectional images of skeletal muscle area at the level of the third lumbar spine was obtained based on computed tomography (CT), and the SMI was calculated by skeletal muscle mass through height squared normalization. …”
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Connective tissue disease-associated interstitial lung disease – A multicenter observational study from India by Sham Santhanam, Pravin Patil, Mohit Goyal, C B Mithun, Parthajit Das, Kavitha Mohanasundaram, Neeraj Jain, Vijaya Prasanna, Keerthi Talari, Himanshu Pathak, Parshant Aggarwal, Deepika Ponnuru, Vikram Raj Jain, Sharath Kumar

“…In our cohort, 372 (60%) patients had not received a diagnosis of their rheumatic disease or the ILD before seeing their rheumatologist. High-resolution computed tomography of the chest was available for 551 (88.9%) of the patients, and 327 (59.3%) had a nonspecific interstitial pneumonitis (NSIP) pattern. …”
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Fibroblast growth factor receptor 3 mutation promotes HSPB6-mediated cuproptosis in hypochondroplasia by impairing chondrocyte autophagy by Jing Chen, Dan He, Chengrun Yuan, Na Li, Baohong Shi, Conway Niu, Jiangfei Yang, Liangkai Zheng, Lin Che, Ren Xu

“…Radiography and micro-computed tomography were employed to assess the bone-specific phenotype in Fgfr3 (V376D)mutant mice. …”
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Going, going, gone: Landscape drying reduces wetland function across the American West by J. Patrick Donnelly, Johnnie N. Moore, John S. Kimball, Kelsey Jencso, Mark Petrie, David E. Naugle

“…To improve our understanding of rapid ecosystem change, we reconstructed monthly wetland surface water hydrology in the western U.S. from 1984 to 2023 using cloud computing and ∼ 150,000 satellite images to measure shifts in the timing and duration of inundations. …”
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Facial Anthropometry and Self-expressed Behaviours: A Systematic Review by Ankit Srivastava, Vilas Chimurkar, Nisha Mani Pandey, Anand Bihari

“…The findings of present review provide new insights for future research in the fields of behavioural medicine and computational face recognition.…”
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Safety and Feasibility of Transanal Endoscopic Surgery for Diffuse Cavernous Hemangioma of the Rectum by Ziwei Zeng, Xianrui Wu, Junji Chen, Shuangling Luo, Yujie Hou, Liang Kang

“…The level of hemoglobin at admission ranged from 59.0 to 148.0 g/l (mean 106.6 g/l), and the level of mean corpuscular volume (MCV) ranged from 75.1 fl to 93.5 fl (mean 83.7 fl). Colonoscopy, computed tomography (CT), and magnetic resonance imaging (MRI) were important in the diagnosis of DCHR because of their high positive rates and accurate features. …”
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Novel Pythagorean fuzzy score function to optimize fuzzy transportation models by Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Nitesh Dhiman, M.K. Sharma

“…Also, the proposed score function integrates these interval values to quantify and rank the alternatives more effectively.However, a notable trade-off is the increased computational complexity due to the use of interval values in the membership and non-membership functions, particularly in larger-scale transportation problems. …”
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Bifurcation analysis of multistability and hysteresis in a model of HIV infection by I. V. Mironov, M. Yu. Khristichenk, Yu. M. Nechepurenko, D. S. Grebennikov, G. A. Bocharov

“…To this end, original computational methods of bifurcation analysis of mathematical models formulated with systems of ordinary differential equations and delay differential equations are used. …”
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Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients by Satyanand Sathi, Richa Tiwari, Savita Verma, Anil Kumar Garg, Virendra Singh Saini, Manoj Kumar Singh, Amit Mittal, Devinder Vohra

“…Recent literature has reported that radiological features of coronavirus disease (COVID-19) patients are influenced by computed tomography. This study aimed to assess the characteristic chest X-ray features of COVID-19 and correlate them with clinical outcomes of patients. …”
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Distinguishing Compact Objects in Extreme-Mass-Ratio Inspirals by Gravitational Waves by Lujia Xu, Shucheng Yang, Wenbiao Han, Xingyu Zhong, Rundong Tang, Yuanhao Zhang

“…Assuming the “true” GW signals originate from an extended body inspiraling into a supermassive black hole, we compute the signal-to-noise ratio (SNR) and Bayes factors between a test-particle waveform template and our model, which includes the spin and quadrupole of the compact object. …”
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Biologic Cost per Effectively Treated Rheumatoid Arthritis Patient in a Large Managed Care Population: A Retrospective Cohort Study by Tao Gu, Neel Shah, Gaurav Deshpande, Derek H. Tang, Debra F. Eisenberg, David J. Harrison

“…**Objectives:** To implement a validated claims-based effectiveness algorithm in a US managed care claims database to compute the 1-year biologic cost per effectively treated patient among first-line biologics approved for moderate-to-severe RA (abatacept, adalimumab, certolizumab pegol, etanercept, golimumab, and infliximab). …”
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Effects of a periodic intermittent theta burst stimulation in Alzheimer’s disease by Yue Wu, Lu Wang, Kai Wang, Shanshan Zhou, Pan Wu, Yibing Yan, Ling Wei, Bensheng Qiu, Yanghua Tian, Zhi Geng, Xingqi Wu, Panpan Hu, Guixian Xiao, Gongjun Ji, Hesheng Liu

“…The longitudinal pipeline of the Computational Anatomy Toolbox for SPM was used to detect significant treatment-related changes over time.Results The iTBS group maintained MoCA scores relative to the control group (t=3.26, p=0.013) and reduced hippocampal atrophy, which was significantly correlated with global degeneration scale changes. …”
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Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance by Jose L. M. Perez, Roberto S. M. Barros, Silas G. T. C. Santos

“…Semi-supervised classifiers often consume a lot of memory and run-time, and the addition of a detection mechanism increases the computational cost. Furthermore, classification in semi-supervised environments can lead to problems related to labeling data to training: an error in this process can negatively impact model performance. …”
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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…Ignoring temporal variation allows collapsing detection data across repeated sampling occasions, speeding up computations, which can be important when analyzing large datasets with complex models. …”
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Co-benefits of nature-based solutions: A health impact assessment of the Barcelona Green Corridor (Eixos Verds) plan by Tamara Iungman, Sergi Ventura Caballé, Ricard Segura-Barrero, Marta Cirach, Natalie Mueller, Carolyn Daher, Gara Villalba, Evelise Pereira Barboza, Mark Nieuwenhuijsen

“…Preventable mortality at the census tract level for adult residents was estimated, and to address uncertainties, we performed Monte Carlo iterations. We computed the percentage increase in GS (land use) and tree cover and converted them into Normalized Difference Vegetation Index (NDVI) to conduct the HIA, employing a Generalized Additive Model (GAM). …”
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An integrative analysis of ASCL1 in breast cancer and inhibition of ASCL1 increases paclitaxel sensitivity by activating ferroptosis via the CREB1/GPX4 axis by Xiaolu Yang, Xiaolu Yang, Yilun Li, Yilun Li, Yaqi Peng, Yuan Chang, Binglu He, Binglu He, Tianqi Zhang, Tianqi Zhang, Shiyu Zhang, Cuizhi Geng, Yunjiang Liu, Xiaolong Li, Jun Hao, Li Ma

“…The TIP database was employed to investigate the connection between ASCL1 expression and immunoreactivity scores, and six computational approaches were applied to evaluate immune cell infiltration. …”
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High-performance CT features supporting accurate pre-operative tumor staging in colon cancer by Jianhua Yuan, Cangzheng Jin, Jianrong Si, Baobao Liu, Xiaohan Si, Jianzhi Chen

“…Background and aimsAccurate pre-treatment tumor staging is essential for treatment decision-making. Multi-slice spiral computed tomography (CT) is currently the standard method for pre-operative clinical tumor staging, but accurately applying the CT findings in tumor staging remains a challenge due to the poor pathological understanding of the CT signs. …”
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Efficacy of non-invasive brain stimulation interventions on cognitive impairment: an umbrella review of meta-analyses of randomized controlled trials by Minmin Wu, Wenjing Song, Xue Wang, Lili Teng, Jinting Li, Jiongliang Zhang, Xinyue Li, Donghui Yu, Huanhuan Jia, Binhan Wang, Qiang Tang, Luwen Zhu

“…Effect sizes, 95% confidence intervals (CIs), and prediction intervals were computed for each meta-analysis. The methodological quality of the SRMAs was evaluated using the Measurement Tool to Assess Systematic Reviews 2, and the quality of evidence was assessed through the Grading of Recommendations, Assessment, Development, and Evaluation criteria. …”
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