Association between terminal pleural elastance and radiographic lung re-expansion after therapeutic thoracentesis in patients with symptomatic pleural effusion: a post-hoc analysis... by Fabien Maldonado, Michael Lester, Otis B Rickman, Lance J Roller, Sameer K Avasarala, James M Katsis, Robert J Lentz

“…The sensitivity and positive predictive value of radiographic lung re-expansion for normal visceral pleural recoil were 44% and 24%, respectively.Conclusion Radiographic lung re-expansion by post-thoracentesis chest radiograph or thoracic ultrasound is a poor surrogate for normal terminal pleural elastance. …”
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Association between the triglyceride–glucose index and the risk of acute kidney injury in critically ill patients with acute pancreatitis: a retrospective study by Zheng Wang, Haoyu Zhang, Xiaozhou Xie, Jie Li, Yuchen Jia, Jiongdi Lu, Chongchong Gao, Feng Cao, Fei Li

“…Abstract Background The triglyceride–glucose (TyG) index is increasingly recognized for its ability to predict cardiovascular and metabolic risks. This study investigated the correlation between the TyG index and the risk of acute kidney injury(AKI) in critical ill patients with acute pancreatitis(AP). …”
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Serum CD4 Is Associated with the Infiltration of CD4+T Cells in the Tumor Microenvironment of Gastric Cancer by Qi You, Tianyi Fang, Xin Yin, Yimin Wang, Yongheng Yang, Lei Zhang, Yingwei Xue

“…Serum CD4 and CD19 and the infiltration of CD4+T cells, CD8+T cells, and CD19+B cells were significant in predicting the prognosis of GC. Low CD4 level, infiltration of CD8+T cells, and high infiltration of CD4+T cells and CD19+B cells were correlated with worse overall survival in multivariate analysis. …”
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Disease-associated genetic variants in the regulatory regions of human genes: mechanisms of action on transcription and genomic resources for dissecting these mechanisms by E. V. Ignatieva, E. A. Matrosova

“…The review provides a brief description of a number of the most well-known public genomic information resources containing data obtained using omics technologies, including (1) resources that accumulate data on the chromatin states and the regions of transcription factor binding derived from ChIP-seq experiments; (2) resources containing data on genomic loci, for which allele-specific transcription factor binding was revealed based on ChIP-seq technology; (3) resources containing in silico predicted data on the potential impact of genetic variants on the transcription factor binding sites.…”
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Geographic Socioeconomic Influences on Disease Activity in Rheumatoid Arthritis in an Academic and Safety Net Hospital System by Joseph Kim, Song Zhang, Ang Gao, Donglu Xie, Salahuddin Kazi, David R. Karp, Christie M. Bartels, E. Blair Solow

“…Conclusion The absence of differences in RA disease activity and functional impairment in patients suggests that the ADI may not be as effective at predicting RA disease activity specifically in a safety net health care context. …”
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Highly dynamic and sex-specific expression of microRNAs during early ES cell differentiation. by Constance Ciaudo, Nicolas Servant, Valérie Cognat, Alexis Sarazin, Emmanuelle Kieffer, Stéphane Viville, Vincent Colot, Emmanuel Barillot, Edith Heard, Olivier Voinnet

“…Accordingly, the miR-293 seed sequence and its predicted cellular targets differed drastically from those of the other abundant cluster members, suggesting that previous conclusions drawn from whole miR-290 over-expression need to be reconsidered. …”
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Exclusive Breastfeeding Knowledge, Intention to Practice and Predictors among Primiparous Women in Enugu South-East, Nigeria by Chikaodili N. Ihudiebube-Splendor, Chinyelu B. Okafor, Agnes N. Anarado, Nonyelum N. Jisieike-Onuigbo, Anthonia U. Chinweuba, Ada C. Nwaneri, Joyce C. Arinze, Paulina C. Chikeme

“…Descriptive statistics of frequency, percentage, mean, and standard deviation were used to summarize categorical and continuous variables while Chi-square and Wald statistic tests predicted demographic data associated with knowledge status and intention to practice EBF of the participants. …”
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Recurrence of atrial fibrillation and late cardiovascular events in patients with persistent atrial fibrillation after restoration of sinus rhythm by U.P. Chernyaha-Royko, N.S. Pavlyk, M.S. Sorokivskyy, A.V. Aker, O.J. Zharinov

“…The aim – to study the role of late recurrences of AF in predicting adverse course of the disease in patients with persistent AF after cardioversion at 9-month follow-up. …”
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The Tolerance of Ambiguity in the Virtual Identity Statuses among Student Users of Online Platforms by M.V. Klementyeva

“…</strong>The current study sparse existing literature of psychology with new data of whether tolerance of ambiguity relates robustly to identity, and support predictions of variability in tolerance of ambiguity depending on the virtual identity status, age and gender among users of online platforms in age of students. …”
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miR-21 and cathepsin B in familial Mediterranean fever: novel findings regarding their impact on disease severity by Emrah Yucesan, Mehmet Yildiz, Ramila Hajiyeva

“…Objective The limited predictive effect of genotype on familial Mediterranean fever (FMF) phenotype suggests that epigenetic factors and alternative mechanisms that may cause IL-1β release could contribute to phenotypic heterogeneity. …”
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The use of propensity score matching to assess the effectiveness of the endometrial receptivity analysis in patients with recurrent implantation failure by Shuang Yu, Yongjie Zhang, Na Li, Zhuolun Su, Wenjing Li, Hua Lou, Yichun Guan

“…Endometrial receptivity analysis (ERA), a next-generation sequencing-based test that assesses endometrial gene expression, may be valuable in predicting endometrial receptivity, but whether ERA improves pregnancy outcomes in patients with recurrent implantation failure (RIF) is currently controversial. …”
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Blood Cells Parameters in Second Trimester of Pregnancy and Gestational Diabetes Mellitus: A Systematic Review and Meta‐Analysis by Vida Ghasemi, Mojdeh Banaei, Zahra Kiani, Fahimeh Ramezani Tehrani, Marzieh Saei Ghare Naz

“…Future studies should investigate the potential role of these haematological markers as predictive tools for adverse pregnancy outcomes and evaluate therapeutic interventions targeting these parameters to enhance maternal and fetal health.…”
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Spatial and temporal activity patterns of Amblyomma americanum by Daniel S. Marshall, Karen C. Poh, Mason V. Reichard, Lindsay A. Starkey, Jeb P. Owen

“…These spatial and temporal aspects of LST behavior should be considered when building predictive risk models of LST-host contact. Graphical Abstract…”
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Effect of Artemisia annua on anticoccidial action, intestinal microbiota and metabolites of Hu lambs by Shuaiqi Liu, Shiheng Li, Shuqi Cheng, Manyu Liu, Jing Li, Senyang Li, Xiaoying Li, Longxian Zhang, Fuchun Jian

“…Alistipes may serve as a biomarker for predicting the risk of intestinal coccidia outbreaks in lambs. …”
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Psychosocial factors influencing dietary management in patients with type 2 diabetes and healthy adults: an ecological momentary assessment approach by Junichi Saito, Hiroaki Kumano, Hiroaki Kumano

“…Only the type 2 diabetes patients used a sensor-based glucose monitoring system (Freestyle Libre Pro, Abbot) and wearable activity monitors (GT3X-BT, ActiGraph).ResultsThe EMA produced a total of 4,254 responses. Dietary lapse predicted two-hour postprandial glucose through a sensor-based glucose monitoring system. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Machine learning models interpret such sensor data, enabling accurate predictions and informed decisions. However, the sheer volume of data from billions of devices can overwhelm networks, making traditional cloud data processing inefficient for IoT applications. …”
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Identification and characterization of Faecalibacterium prophages rich in diversity-generating retroelements by Anastasia Gulyaeva, Lei Liu, Sanzhima Garmaeva, Marloes Kruk, Rinse K. Weersma, Hermie J. M. Harmsen, Alexandra Zhernakova

“…DGRs of two phages were active at the time of the induction experiments, as evidenced by nucleotide variation in sequencing reads. We also predicted that the host range of two active phages may include multiple bacterial species. …”
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Can Thinning Foster Forest Genetic Adaptation to Drought? A Demo‐Genetic Modelling Approach With Disturbance Regimes by Victor Fririon, Hendrik Davi, Sylvie Oddou‐Muratorio, Gauthier Ligot, François Lefèvre

“…Considering plausible genetic variation and contrasting drought regimes, the predicted evolutionary rates for both traits aligned with documented rates in wild plant and animal populations. …”
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PortNet: Achieving lightweight architecture and high accuracy in lung cancer cell classification by Kaikai Zhao, Youjiao Si, Liangchao Sun, Xiangjiao Meng

“…Additionally, the integration of the Squeeze-and-Excitation self-attention module enhances feature representation without substantially increasing the number of parameters, thereby maintaining high predictive performance. Result: Our tests demonstrated that PortNet significantly reduces the total parameter count to 2,621,827, which is over a fifth smaller compared to some mainstream CNN models, marking a substantial advancement for deployment in portable devices. …”
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Kombinasi K-NN dan Gradient Boosted Trees untuk Klasifikasi Penerima Program Bantuan Sosial by Elly Firasari, Umi Khultsum, Monikka Nur Winnarto, Risnandar Risnandar

“…Data mining helps to determine decisions in predicting data in the future. Gradient Boosted Trees and K-NN are data mining methods for data classification. …”
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