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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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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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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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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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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Assessing intrinsic capacity for person‐centred HIV care: a cross‐sectional study in ageing populations in Malaysia and Hong Kong by Reena Rajasuriar, Syaza Hisham, John Son Lim, Jean Yi Cheong, Wen Ying Ho, Siew Hwei Yap, Nurul Syuhada Zulhaimi, Malinee Neelamegam, Catherine Cheung, Vivian Wong, Ruhana Che Yusof, Kejal Hasmukharay, Shahrul Bahyah Kamaruzzaman, Sharifah Faridah Syed Omar, Meng Li Chong, Pui Li Wong, Grace Chung‐Yan Lui

“…Area under the receiver operator characteristic (AUC‐ROC) was calculated to predict frailty and IADL deficits in the current cohort and an independent cohort of 275 PWH from Hong Kong (HK). …”
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Characteristics, controlling factors of development and exploration areas of deep coal-rock reservoirs in rift basins: a case study of the second member of Cretaceous Nantun Format... by Geng GAO, Yingyi XIE, Beibei HOU, Wenjuan MA, Hui XU, Yujie WANG, Yingdong HUO, Jingyuan ZHANG, Shichao LIU, Wei ZHAO, Yuan LIANG

“…The southern depression zones and steep slope zones are more likely to form multiple favorable source and reservoir configurations, with superior reservoir formation conditions. The predicted resource volume exceeds one trillion cubic meters, making it a favorable breakthrough area for deep coal-rock gas exploration in the Huhehu Sag. …”
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High Ki67 expression, HER2 overexpression, and low progesterone receptor levels in high-grade DCIS: significant associations with clinical practice implications by Hossein Schandiz, Hossein Schandiz, Lorant Farkas, Lorant Farkas, Daehoon Park, Yan Liu, Yan Liu, Solveig N. Andersen, Torill Sauer, Jürgen Geisler, Jürgen Geisler

“…This elucidation underscores the translational significance of Ki67 as a prognostic and predictive biomarker in DCIS, with implications for personalized treatment paradigms and patient outcomes.BackgroundThe Ki67 proliferation index is widely used in various tumors, including invasive breast carcinoma (IBC). …”
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Ventilatory variables and computed tomography features in COVID-19 ARDS and non–COVID-19-related ARDS: a prospective observational cohort study by Li-Chung Chiu, Hsin-Hsien Li, Yu-Hsiang Juan, How-Wen Ko, Scott Chih-Hsi Kuo, Chung-Shu Lee, Tien-Ming Chan, Yu-Jr Lin, Li-Pang Chuang, Han-Chung Hu, Kuo-Chin Kao, Ping-Chih Hsu

“…Pulmonary non–COVID-19 patients presented higher values for mechanical power (MP), MP normalized to predicted body weight (MP/PBW), MP normalized to compliance (MP/compliance), ventilatory ratio (VR), peak inspiratory pressure (Ppeak), and dynamic driving pressure (∆P) as well as lower dynamic compliance from day 1 to day 7 after ARDS onset. …”
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Interactions between NAD+ metabolism and immune cell infiltration in ulcerative colitis: subtype identification and development of novel diagnostic models by Linglin Tian, Huiyang Gao, Tian Yao, Tian Yao, Yuhao Chen, Linna Gao, Jingxiang Han, Lanqi Zhu, He Huang, He Huang, He Huang

“…Nomograms developed for subtyping and diagnosis demonstrated high predictive accuracy, achieving area under curve (AUC) values up to 0.989 and 0.997 in the training set and up to 0.998 and 0.988 in validation sets. …”
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Association of Obstructive Sleep Apnea and Nocturnal Hypoxemia With the Circadian Rhythm of Myocardial Infarction by Xiaochen Liu, Bin Wang, Wen Hao, Yuyao Qiu, Qian Guo, Yingying Guo, Qingjie Xin, Jingyao Fan, Bin Que, Wei Gong, Wen Zheng, Xiao Wang, Shaoping Nie

“…Moderate/severe OSA (adjusted odds ratio 1.66 [95% CI, 1.13–2.43]; P=0.01) and nocturnal hypoxemia (oxygen desaturation index ≥15 model, adjusted odds ratio 1.80, [95% CI, 1.21–2.66]; minimum oxygen saturation ≤86% model, adjusted odds ratio 1.70 [95% CI, 1.16–2.47]; P=0.006; total sleep time with saturation <90% ≥2% model, adjusted odds ratio 1.54 [95% CI, 1.04–2.27]; P=0.03) significantly predicted MI occurrence from midnight to 6:00 am. Conclusions A peak of incident MI onset between midnight to 5:59 am was observed in patients with moderate/severe OSA, especially in those presenting with nocturnal hypoxemia.…”
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QuickStroop for screening for minimal hepatic encephalopathy in patients with cirrhosis by Christian Labenz, Simon J. Gairing, Leonard Kaps, Alena F. Ehrenbauer, Eva M. Schleicher, Sophie Mengel, Julius F.M. Egge, Maria M. Gabriel, Peter R. Galle, Heiner Wedemeyer, Alexander Zipprich, Cristina Ripoll, Robin Greinert, Benjamin Maasoumy

“…The discriminative ability of QuickStroop (total cohort: AUC 0.88) was superior to ANT (AUC 0.70). QuickStroop predicted PHES-MHE with a sensitivity of 74% and a specificity of 89%, and took a median of only 34.5 s to complete. …”
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The performance of upper arm circumference for age in diagnosing severe acute malnutrition in children aged 6 to 59 months in South Kivu, Eastern Democratic Republic of Congo: Lwir... by Gaylord Ngaboyeka, Armand Mulume, Emmanuel Lurhangire, Anouk Neven, Lydia Zigabe, Serge Balolebwami, Pacifique Mwene-Batu, Michelle Dramaix, Philippe Donnen, Ghislain Bisimwa

“…To evaluate the performance of MUACZ using the combination of weight-for-height (WHZ) and Mid-Upper Arm Circumference (MUAC) as the reference, we calculated sensitivity, specificity, positive and negative predictive values (PPV and NPV) overall. Subsequently, we stratified the results by age category, presence or absence of stunting, and presence or absence of edema. …”
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Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation by Guiling Wu, Guiling Wu, Sihui Wu, Sihui Wu, Tian Xiong, Tian Xiong, Tian Xiong, You Yao, You Yao, Yu Qiu, Yu Qiu, Yu Qiu, Liheng Meng, Cuihong Chen, Xi Yang, Xi Yang, Xi Yang, Xinghuan Liang, Yingfen Qin

“…Immune dysregulation was observed in MAFLD, with TNFRSF1A and SERPINB2 strongly linked to immune regulation.ConclusionThe sensitivity and accuracy in diagnosing and predicting T2DM-associated MAFLD can be greatly improved using SERPINB2 and TNFRSF1A. …”
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High-throughput methylation sequencing reveals novel biomarkers for the early detection of renal cell carcinoma by Wenhao Guo, Weiwu Chen, Jie Zhang, Mingzhe Li, Hongyuan Huang, Qian Wang, Xiaoyi Fei, Jian Huang, Tongning Zheng, Haobo Fan, Yunfei Wang, Hongcang Gu, Guoqing Ding, Yicheng Chen

“…Further analysis using Cox regression identified 7 of the 23 DMCGIs as prognostic markers for RCC, allowing the development of a prognostic model with strong predictive power for 1-, 3-, and 5-year survival (AUC-ROC > 0.7). …”
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