Impaired Mitochondrial Bioenergetics Function in Pediatric Chronic Overlapping Pain Conditions with Functional Gastrointestinal Disorders by Gisela Chelimsky, Pippa Simpson, Liyun Zhang, Doug Bierer, Steve Komas, Balaraman Kalyanaraman, Thomas Chelimsky

“…Predisposing genetic factors or reversible acquired changes may be responsible. A higher SRC best predicts disability. Since a higher SRC is typically associated with more mitochondrial reserve, the SRC may indicate an underutilized available energy supply related to inactivity, or a “brake” on mitochondrial function. …”
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Mortality and immunological indicators of men who have sex with men living with HIV on antiretroviral therapy: a 10-year retrospective cohort study in Southern China by Huaxiang Lu, Huanhuan Chen, Shujia Liang, Yuhua Ruan, He Jiang, Jinghua Huang, Guangjie Tan, Xiuling Wu, Jianjun Li, Chen Gong, Qiuying Zhu, Guanghua Lan

“…Conclusions Mortality among MSM PLHIV on ART in Guangxi is relatively low, and both high viral loads and low CD4+/CD8+ T cell ratios during treatment and at recent follow-up are strongly predictive of a serious prognosis and should be closely monitored.…”
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Study on the value of gastrin 17 and aldehyde dehydrogenase 1 in gastric juice for early diagnosis in gastric cancer by Yanfang Wang, Yanfang Wang, Hui Liu, Hui Liu, Xiang Li, Juan Jin, Bo Yan, Bo Yan

“…By using binomial logistic regression analysis, the impact of G-17 and ALDH1 in gastric juice on the incidence of gastric cancer was examined. To illustrate the predictive usefulness of G-17 and ALDH1 in gastric juice for GC diagnosis, a receiver operating characteristic (ROC) curve was generated.ResultsThe gastric juice of the gastric cancer group had higher levels of ALDH1 and G-17 than did the gastric juice of the gastritis group and GU group (P < 0.05). …”
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Impact of Financial Literacy on Saving Decisions: Insight from Aseman Project Operated by Barkat Foundation by VAhid Moghadam, Hadi Amiri, Sahar Baharipour, Fatemeh Bagheri, Parisa GHasemian

“…The Q-squared index, which measured the model's predictive power, had a value of 0.19 for the variable of saving attitude, suggesting moderate predictive power. …”
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Identification and leveling of factors affecting the acceptance of excellence model in Islamic Azad University by Seyedeh Somayeh Mousavi Siah Deleh, Samad Jabbari Asl, Musa Rezvani Chaman Zamin

“…The results of the leveling of the identified sub-indicators also showed that factors such as weakness in macro policies, weakness in predicting specific financial resources and low culture of applying the excellence model in universities (related to the category of external factors), formulating and implementing effective strategies in order to implement the model of excellence in university branches, as well as the correct understanding of the current situation and needs (related to the category of managerial factors) and the usefulness of using the model in the career promotion of executives (related to the category of attitudinal-behavioral factors) are among the most important indicators affecting the method of the model of excellence in Islamic Azad University. …”
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Evaluation of Arabic lesson teaching in higher education based on the Kirkpatrick model by Ali Akbar Mollaie, Mohammad Aslam Raiesi

“…The findings of the research showed that the evaluation components of training effectiveness, including reaction, learning, and results, are able to predict the effectiveness of teaching Arabic in higher education institutions based on the Kirkpatrick model. …”
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From plants to patterns: Constructing a comprehensive online strontium isoscape for Belgium (IsoBel) using high density grid mapping by Amanda Sengeløv, Giacomo Capuzzo, Sarah Dalle, Hannah F. James, Charlotte Sabaux, Elisavet Stamataki, Marta Hlad, Carina T. Gerritzen, Emma M. Legrand, Barbara Veselka, Guy De Mulder, Rica Annaert, Mathieu Boudin, Kevin Salesse, Eugène Warmenbol, Nadine Mattielli, Christophe Snoeck, Martine Vercauteren

“…The high-density plant sampling approach employed in this study allowed for enhanced spatial resolution and improved accuracy in the predictive surfaces for bioavailable 87Sr/86Sr created by Empirical Bayesian Kriging (EBK). …”
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circRNA18_46222157_46248185 inhibits melanogenesis by targeting miR-211/ pathway in goat melanocytes by Kai Yuan Ji, Xue Qing Zhang, Yi Wei Zhao, Chun E Liang, Xin Yuan, Yun Hai Zhang

“…Bioinformatics software was used to predict the targeted adsorption miRNAs of circRNA18, verified by luciferase assay. …”
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Understanding phage BX-1 resistance in Vibrio alginolyticus AP-1 and the role of quorum-sensing regulation by Xiaoyu Li, Xin Liu, Tianyi Ma, Haochen Su, Bingrui Sui, Lili Wang, Bilal Murtaza, Yongping Xu, Na Li, Demeng Tan

“…This population density-dependent response is primarily enhanced by the predicted quorum-sensing autoinducer CAI-1, synthesized by the gene cqsA. …”
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Impacts of genomic alterations on the efficacy of HER2-targeted antibody–drug conjugates in patients with metastatic breast cancer by Riqing Huang, Anqi Hu, Qixiang Rong, Ditian Shu, Meiting Chen, Wei Yang, Yue Zhang, Qiufan Zheng, Xin An, Cong Xue, Haifeng Li, Yanxia Shi

“…Hence, this study aims to identify factors predicting sensitivity to HER2 ADC in metastatic breast cancer. …”
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CYP3A5 promotes glioblastoma stemness and chemoresistance through fine-tuning NAD+/NADH ratio by Wentao Hu, Xiaoteng Cui, Hongyu Liu, Ze Li, Xu Chen, Qixue Wang, Guolu Zhang, Er Wen, Jinxin Lan, Junyi Chen, Jialin Liu, Chunsheng Kang, Ling Chen

“…Further in silico and patient tissue analyses validated the predictive ability of the GScore and identified a potential target, CYP3A5. …”
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Nineteen years retrospective analysis of epidemiology, antifungal resistance and a nomogram model for 30-day mortality in nosocomial candidemia patients by Zhang Dai, Xuhong Lan, Minjing Cai, Yunhui Liao, Jingwen Zhang, Naifang Ye, Xinxin Lu, Jiajia Wang, Yun Xiao, Yan Zhang, Yihui Yao, Xianming Liang

“…Candida tropicalis exhibits the highest resistance rate to azole drugs. A nomogram predicting 30-day mortality discharge for candidemia patients has been constructed, and the independent risk factors including Candida albicans, multiple organ dysfunction syndrome, septic shock, solid tumors, and decreased albumin.…”
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Factors influencing role preferences in decision-making of healthy women with BRCA1/2 pathogenic variants: subanalysis from a randomised controlled decision coaching trial by Sibylle Kautz-Freimuth, Arim Shukri, Claudia Stracke, Anna Isselhard, Birte Berger-Höger, Anke Steckelberg, Frank Vitinius, Nicola Dikow, Marion Kiechle, Cornelia Meisel, Achim Wöckel, Marion Tina von Mackelenbergh, Rita Schmutzler, Kerstin Rhiem, Stephanie Stock

“…At T2, high baseline decisional conflict significantly predicted taking a more passive role in the CG, whereas in the IG, baseline decisional conflict showed no influence. …”
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Associations of prognostic nutritional index with cardiovascular all-cause mortality among CVD patients with diabetes or prediabetes: evidence from the NHANES 2005–2018 by WenYi Xu, Li Zhang, Li Zhang, QianKun Yang, Ying Cao, Rui Rao, Li Lv, Qin Cen, Qiong Wei, LuLing Yang

“…Additionally, weighted multivariable Cox regression models, subgroup analyses, and interaction tests were employed to examine the relationship between PNI and all-cause and CVD mortality. The predictive accuracy of PNI for survival outcomes was evaluated using time-dependent receiver operating characteristic curve (ROC) analysis.ResultsDuring a median follow-up of 61 months (interquartile range, 33-103 months), 507 of the 1509 (33.60%) diabetic or prediabetic CVD patients died. …”
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The azimuthal correlation between the leading jet and the scattered lepton in deep inelastic scattering at HERA by ZEUS Collaboration, I. Abt, R. Aggarwal, V. Aushev, O. Behnke, A. Bertolin, I. Bloch, I. Brock, N. H. Brook, R. Brugnera, A. Bruni, P. J. Bussey, A. Caldwell, C. D. Catterall, J. Chwastowski, J. Ciborowski, R. Ciesielski, A. M. Cooper-Sarkar, M. Corradi, R. K. Dementiev, S. Dusini, J. Ferrando, B. Foster, E. Gallo, D. Gangadharan, A. Garfagnini, A. Geiser, G. Grzelak, C. Gwenlan, D. Hochman, N. Z. Jomhari, I. Kadenko, U. Karshon, P. Kaur, R. Klanner, U. Klein, I. A. Korzhavina, N. Kovalchuk, M. Kuze, B. B. Levchenko, A. Levy, B. Löhr, E. Lohrmann, A. Longhin, F. Lorkowski, E. Lunghi, I. Makarenko, J. Malka, S. Masciocchi, K. Nagano, J. D. Nam, Yu. Onishchuk, E. Paul, I. Pidhurskyi, A. Polini, M. Przybycień, A. Quintero, M. Ruspa, U. Schneekloth, T. Schörner-Sadenius, I. Selyuzhenkov, M. Shchedrolosiev, L. M. Shcheglova, N. Sherrill, I. O. Skillicorn, W. Słomiński, A. Solano, L. Stanco, N. Stefaniuk, B. Surrow, K. Tokushuku, O. Turkot, T. Tymieniecka, A. Verbytskyi, W. A. T. Wan Abdullah, K. Wichmann, M. Wing, S. Yamada, Y. Yamazaki, A. F. Żarnecki, O. Zenaiev

“…The data are equally well described by Monte Carlo predictions that supplement leading-order matrix elements with parton showering.…”
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Eosinophil is a predictor of severe immune-related adverse events induced by ipilimumab plus nivolumab therapy in patients with renal cell carcinoma: a retrospective multicenter co... by Yoshihiko Tasaki, Shuzo Hamamoto, Shimpei Yamashita, Junya Furukawa, Kazutoshi Fujita, Ryotaro Tomida, Makito Miyake, Noriyuki Ito, Hideto Iwamoto, Yoshihisa Mimura, Yosuke Sugiyama, Rei Unno, Atsushi Okada, Takahiro Yasui, Yoko Furukawa-Hibi

“…IntroductionImmune-related adverse events (irAEs) induced by immune checkpoint inhibitors are difficult to predict and can lead to severe events. Although it is important to develop strategies for the early detection of severe irAEs, there is a lack of evidence on irAEs associated with ipilimumab plus nivolumab therapy for metastatic renal cell carcinoma (RCC). …”
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Clinical, genomic, and histopathologic diversity in cerebral cavernous malformations by Jian Ren, Daochao Wang, Leiming Wang, Chendan Jiang, An Tian, Ziwei Cui, Yeqing Ren, Lisong Bian, Gao Zeng, Guolu Meng, Yongzhi Shan, Jiantao Liang, Xinru Xiao, Jie Tang, Yukui Wei, Chuan He, Liyong Sun, Yongjie Ma, Jiaxing Yu, Guilin Li, Ming Ye, Peng Hu, Jingwei Li, Ye Li, Lijian Niu, Qianwen Li, Feng Ling, Jan-Karl Burkhardt, Hongqi Zhang, Tao Hong

“…This study underscores the diverse clinical, genomic, and histopathological characteristics in CCMs, suggesting potential predictive markers based on mutation subtypes and MRI features.…”
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Identification of biomarkers for tumor regression grade in esophageal squamous cell carcinoma patients after neoadjuvant chemoradiotherapy by Zhifu Chen, Yan Wang, Jun Chen, Zijun Xu, Tingjuan Zhang, Lu Sun, Lihua Zhu, Liben Xu, Chaoyang Wu, Zhiyuan Qiu, Dianjun Wang, Ting Wu

“…Downregulation of GPR56 suggests a potential significant predictive value in conjunction with MPR analysis.…”
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Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence... by Jui-Kai Wang, Jui-Kai Wang, Brett A. Johnson, Zhi Chen, Zhi Chen, Honghai Zhang, Honghai Zhang, David Szanto, Brian Woods, Brian Woods, Michael Wall, Young H. Kwon, Young H. Kwon, Edward F. Linton, Edward F. Linton, Andrew Pouw, Mark J. Kupersmith, Mark J. Kupersmith, Mark J. Kupersmith, Mona K. Garvin, Mona K. Garvin, Mona K. Garvin, Mona K. Garvin, Randy H. Kardon, Randy H. Kardon

“…The combination of dLVs and bLVs enhances the model’s ability to capture key spatial features and predict disease progression. Future work will focus on integrating additional image modalities to further refine the model’s diagnostic capabilities.…”
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Differential Role of NKG2A/HLA-E Interaction in the Outcomes of Bladder Cancer Patients Treated with <i>M. bovis</i> BCG or Other Therapies by Inmaculada Ruiz-Lorente, Lourdes Gimeno, Alicia López-Abad, Pedro López Cubillana, Tomás Fernández Aparicio, Lucas Jesús Asensio Egea, Juan Moreno Avilés, Gloria Doñate Iñiguez, Pablo Luis Guzmán Martínez-Valls, Gerardo Server, Belén Ferri, José Antonio Campillo, María Victoria Martínez-Sánchez, Alfredo Minguela

“…The HLA-B −21M/T genotype was an independent predictive parameter of the progression-free survival (HR = 2.08, <i>p</i> = 0.01) and the OS (HR = 2.059, <i>p</i> = 0.039) of BC patients treated with BCG, together with age and tumor histopathologic characteristics. …”
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