Pulmonary Involvement Caused by Primary Sjogren’s Syndrome: The Pilot phase of Iran Primary Sjogren’s Syndrome Registry by Asghar Hajiabbasi, Hoorvash Ebrahimi, Irandokht Shenavar Masouleh, Samira Forouzan, Amirmohammad Ghanbari, Azita Tangestaninejad, Pooneh Ghavidel Parsa

“…Based on the clinical symptoms and lung specialists' opinions, the patients underwent lung imaging and lung function tests. The presence of pulmonary involvement and the effect of various factors on its presence in patients were evaluated. …”
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Three-year follow-up of children with abnormal newborn screening results for congenital hypothyroidism by Min-Jae Kang, Hye-Rim Chung, Yeon-Joung Oh, Young-Suk Shim, Seung Yang, Il-Tae Hwang

“…To analyze predictive factors suggesting transient congenital hypothyroidism (TCH) compared to permanent congenital hypothyroidism (PCH) or transient thyroid function test (TFT) abnormalities among children who had positive screening results at our centers over the past decade. …”
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Liver Disease Associated with Inflammatory Bowel Disease by Juferdy Kurniawan, Refael Alfa Budiman

“…Therefore, close monitoring of liver function test periodically is a mandatory test to screen liver disease in IBD patients.   …”
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Plasma homocysteine levels in patients with liver cirrhosis by Ćulafić Đorđe M., Marković Miroslav Lj., Obrenović Radmila Ž., Mijač Dragana D.

“…The aim of our study was to determine homocysteine values and factors affecting homocysteine metabolism in patients with liver cirrhosis. …”
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Prediction of Pile Bearing Capacity Using Opposition-Based Differential Flower Pollination-Optimized Least Squares Support Vector Regression (ODFP-LSSVR) by Nhat-Duc Hoang, Xuan-Linh Tran, Thanh-Canh Huynh

“…Least squares support vector regression (LSSVR) is used for analyzing a dataset containing historical records of pile tests. Based on such datasets, LSSVR is capable of generalizing a multivariate function that estimates values of pile bearing capacity based on a set of variables describing pile characteristics and ground conditions. …”
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Persistent pain signaling and stress response in a mouse model of inflammatory low back pain by Hiroaki Motohashi, Yasuhito Yamaji, Kazunari Mori, Sena Washizu, Oki Hoshino, Kotone Fujimoto, Seiji Kanazawa, Yoshihiko Minegishi, Noriyasu Ota, Takuya Mori, Eri Segi-Nishida

“…Chronic low back pain (LBP) is linked to dysfunction in both peripheral and central nervous systems and is a risk factor of psychiatric disorders such as depression. …”
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Evolution of clinical and genetic concepts of cardiomyopathies by O.M. Kovalyova, V.V. Nikonov, S.V. Ivanchenko, A.M. Litvynova, T.I. Viun, O.M. Fedota

“…It is noted that the implementation of high-tech research methods is accompanied by the creation of concepts of cardiomyopathies, establishing etiological and pathogenetic links that are being transformed into clinical signs, which require stratification, risk factor assessment, and prognosis. The diagnostic value of structural and functional heart anomalies for ranking classical phenotypes of dilated, hypertrophic, restrictive cardiomyopathies, and arrhythmogenic right ventricular cardiomyopathy is аnalyzed. …”
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Crude Radix Aconiti Lateralis Preparata (Fuzi) with Glycyrrhiza Reduces Inflammation and Ventricular Remodeling in Mice through the TLR4/NF-κB Pathway by Ping Yan, Wen Mao, Lushuai Jin, Mingsun Fang, Xia Liu, Jiali Lang, Lu Jin, Beibei Cao, Qiyang Shou, Huiying Fu

“…CFZ, CFZ+GC, and PFZ significantly improved left ventricular function and structure and reduced myocardial damage. …”
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Pollution Risk Assessment of Potentially Toxic Elements in Soils Using Characterization and Microbiological Analysis: The Case of a Rare and Precious Metal Mining Site in Wuzhou, G... by Yi Sun, Zixuan Yang, Kun Dong, Fujiang Hui, Dunqiu Wang, Yecheng Huang

“…The Probability Mass Function (PMF) model was used to perform a source apportionment of the PTEs and determine the main pollution sources and their contribution rates. …”
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Influences of intelligent predictive networks on thermal efficiency of radiative magnetohydrodynamics hybrid nanofluid flow considering heat absorption-generation aspects by Muhammad Habib Ullah Khan, Waqar Azeem Khan, Taseer Muhammad, Marei S. Alqarni, Hamid Qureshi, Iftikhar Hussain

“…The numerical solution of HNF will be found through the usage of “ND-Solve” function in Mathematica program and produce the matrix data. …”
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Effects of Quetiapine on Novelty‐Related Object Recognition Memory and Hippocampal BDNF Level in Sleep‐Deprived Rats by Öznur Özge Özcan, Burcu Çevreli, Emel Serdaroğlu Kaşıkçı, Mesut Karahan, Muhsin Konuk

“…Additionally, we aim to reveal the consequences of 72 h SD and QET effects on memory processes with hippo BDNF levels by testing rats in the novel object recognition (NOR) test and ELISA method. …”
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Data-Driven Energy Efficiency Modeling in Large-Scale Networks: An Expert Knowledge and ML-Based Approach by David Lopez-Perez, Antonio De Domenico, Nicola Piovesan, Merouane Debbah

“…Traditional optimization approaches encounter complexity due to factors like the large number of cells, stochastic traffic, channel variations, and intricate trade-offs. …”
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Predicting recurrence risk in endometrial cancer: a multisequence MRI intratumoral and peritumoral radiomics nomogram approach by Jie Li, Jie Li, Dianpei Ma, Dianpei Ma, Xiuting Chen, Xiuting Chen, Junting Wei, Junting Wei, Jiali Xu, Yingming Zhao, Zhizhen Gao

“…The clinical decision curve and DeLong test results indicated that the FM model was the optimal recurrence model in EC patients.ConclusionA nomogram model integrating MRI radiomics features from intratumoral and peritumoral regions and clinical factors effectively predicts recurrence in EC patients.…”
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Unleashing the Potential of Learning Agility: A Catalyst for Innovative Work Behavior and Employee Performance by Christian Wiradendi Wolor, Usep Suhud, Ahmad Nurkhin, Wong Chee Hoo, Mahmoud Ali Rababah

“…Objective: This study aims to fill the gap in previous research by empirically testing how learning agility influences employee performance through IWBs in IT companies, thereby providing a novel contribution to understanding the factors that support workforce innovation and competitiveness in this sector. …”
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Spatially Explicit Analysis of Landscape Structures, Urban Growth, and Economic Dynamics in Metropolitan Regions by Ioannis Vardopoulos, Marco Maialetti, Donato Scarpitta, Luca Salvati

“…We specifically ran a Multiscale Geographically Weighted Regression (MGWR) testing the spatial dependence of the size and shape of landscape parcels on a vast ensemble of socioeconomic factors in a dense region (metropolitan Athens, Greece) with natural landscapes exposed to increasing human pressure. …”
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Energy Optimal Trajectory Planning for the Morphing Solar-Powered Unmanned Aerial Vehicle Based on Hierarchical Reinforcement Learning by Tichao Xu, Wenyue Meng, Jian Zhang

“…Shaped properly by reward functions and training conditions, the hierarchical policy can enable the UAV to adapt to changing flight conditions and achieve autonomous flight with energy maximization. …”
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Bridge Damage Localization Through Response Reconstruction with Multiple BP-ANNs Under Vehicular Loading by Xuzhao Lu, Chenxi Wei, Limin Sun, Wei Zhang

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Servicescape of Fitness Facilities and Customer Satisfaction: A Comparative Kano Analysis of Korean and Chinese Consumers by Long-Zhe Li, Sung-Kwang Kim, Jinho Yoo, Kyong-ken Choi

“…The research aims to identify key service elements influencing satisfaction, analyze cultural and socioeconomic factors affecting consumer preferences, and provide strategic insights for market-specific service design. …”
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Brain Abscess in the Computed Tomography Era: A 10-year Experience from Auckland, New Zealand by DJ Holland, B Cooper, J Garner, R Ellis-Pegler, E Mee

“…Seventy-one per cent had a good functional outcome. Mortality was 8.8%. Factors associated with a poor outcome were trauma as a cause, and delays after admission of more than seven days to diagnosis and/or operation.…”
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Mental well-being in Swedish adolescents 2014-2023: A repeated population-based cross-sectional study focusing on temporal variations and differences between groups. by Lena Uvhagen, Johanna Gustafsson, Fredrik Söderqvist

“…Mental well-being is more than merely the absence of mental illness; it is a multidimensional concept that includes both emotional and functional well-being, which are valuable resources during adolescence. …”
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