Self-assessment of didactic performance of psychology and education professors in Mexico and Peru by Aldo Bazán-Ramírez, Walter Capa-Luque, Roberto Chávez-Nava, Mónica C. Dávila-Navarro, Homero Ango-Aguilar, Edmundo Hervias-Guerra, Catalina Bello-Vidal

“…As for the evidence of validity based on the internal structure of the construct, satisfactory results were found with the confirmatory factor analysis strategy for a multidimensional model of seven oblique factors (CFI = 0.99, TLI = 0.98, RMSEA = 0.05, SRMR = 0.06) and a second-order factor model made up of two general factors and seven specific first-order factors (CFI = 0.98, TLI = 0.98, RMSEA = 0.06, SRMR = 0.07). …”
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Vincristine Regulates C/EBP-β/TGF-β1 to Promote A1 Astrocyte Polarization and Induce Neuropathic Pain by Chen Y, Tang G, Lu J, Tang S, Xiong X, Chen C, Pei L, Shi J

“…In vitro experiment, the astrocyte model was constructed by Vincristine, and si-C/EBP-β was regulated before VCR administration. …”
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The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis by Marcin Rządeczka, Anna Sterna, Julia Stolińska, Paulina Kaczyńska, Marcin Moskalewicz

“…MethodsThis study used constructed case scenarios simulating typical user-bot interactions to examine how effectively chatbots address selected cognitive biases. …”
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Dynamic analysis and optimal control of a hybrid fractional monkeypox disease model in terms of external factors by Saima Rashid, Abdul Bariq, Ilyas Ali, Sobia Sultana, Ayesha Siddiqa, Sayed K. Elagan

“…We remark that in various time scale domains $$\mathbb {N}_{\ell }$$ , the investigated discrete formulations will be $$\rho ^{2}$$ -nonincreasing or $$\rho ^{2}$$ -nondecreasing by examining $$\rho$$ -monotonicity formulations and the basic properties of the suggested operator. Algorithms are constructed in the discrete generalized Mittag–Leffler (GML) kernel for mathematical simulations, emphasizing the effects of the infection resulting from multiple factors. …”
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Development of the children's primitive reflex integration assessment scale by Meng Wang, Jing Yu, Hongyao Li, Chongran Zhao, Yichao Li, Xinyue Yang

“…For formal testing data, Cronbach's α assessed the reliability of the scale, while fit indices such as chi-square value/degrees of freedom (χ2/df), Root Mean Square Error of Approximation (RMSEA), and Comparative Fit Index (CFI), along with tests of construct validity, evaluated the scale's validity.ResultsOverall, 555 participants were selected, 234 children with a mean age of 7.59 ± 0.71 years participated in the pilot testing, while 321 children with a mean age of 7.73 ± 0.71 years participated in the formal testing. …”
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Identification of Five m6A-Related lncRNA Genes as Prognostic Markers for Endometrial Cancer Based on TCGA Database by Li Shan, Ye Lu, Cheng-Cheng Xiang, Xiaoli Zhu, Er-Dong Zuo, Xu Cheng

“…The risk-based model constructed from the five key m6A-related lncRNAs was implicated in immune cell infiltration and can potentially be an accurate prognosticator for UCEC.…”
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Mechanism of Action of Decitabine in the Treatment of Acute Myeloid Leukemia by Regulating LINC00599 by Fan Du, Ting Jin, Li Wang

“…The regulatory relationship between miR-135a-5p and LINC00599 was verified by constructing miR-135a-5p mimics, miR-135a-5p inhibit, wild type LINC00599 3′-untranslated region (UTR), and mutant LINC00599 3′-UTR. …”
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Ethical education: Ways of moral consciousness development (understanding experience through Tyumen ethical and philosophical tradition) by E. N. Yarkova, A. G. Ivanov, Ya. V. Maltsev

“…is of great concern to both theorists, who construct various models of ethical education, and, practitioners, who implement these models in life.A serious source of knowledge concerning the methodology of ethical education is the concept of the individual moral consciousness development, created by well-known ethicists A. …”
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To Develop Biomarkers for Diabetic Nephropathy Based on Genes Related to Fibrosis and Propionate Metabolism and Their Functional Validation by Sha Li, Jingshan Chen, Wenjing Zhou, Yonglan Liu, Di Zhang, Qian Yang, Yuerong Feng, Chunli Cha, Li Li, Guoyong He, Jun Li

“…Finally, immunoinfiltrative analysis was performed, and the transcription factor (TF)–microRNA (miRNA)–mRNA regulatory network and the drug–gene interaction network were constructed. There were 2633 DN-DEGs between the DN and control samples and 515 PM-DEGs between the high and low PMRG score groups. …”
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A within-person investigation of recovery identity following substance use disorder: examining the impact of recovery-focused social contexts by Joseph H. Lancaster, Hannah B. Apsley, Timothy R. Brick, Timothy R. Brick, H. Harrington Cleveland

“…Until now, no studies have investigated recovery identity as a dynamic construct, although recent findings suggest it fluctuates from one day to the next. …”
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C5a/C5aR regulates Th1/Th2 imbalance in sepsis-associated lung injury by promoting neutrophil activation to increase PAD4 expression by Zhenbing Lu, Ling Zhu, Changlin Yi, Bi Su, Renying Wang

“…An LPS-induced septic lung injury mouse model was constructed, with HE and PAS stains evaluating lung damage. …”
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Dynamic changes in the gastrointestinal microbial communities of Gangba sheep and analysis of their functions in plant biomass degradation at high altitude by Xiaozhen Liu, He Ding, Xiaoxue Zhang, Na Ta, Jinmei Zhao, Qian Zhang, Huiyun Liu, Mengjiao Sun, Xiaoqing Zhang

“…Moreover, a Gangba sheep gastrointestinal microbial genomic catalogue was constructed for the first time, including 1146 metagenome-assembled genomes (MAGs) with completeness > 50% and contamination < 10%, among which, 504 bacterial and 15 archaeal MAGs were of high quality with completeness > 80% and contamination < 10%. …”
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Investigation of Potential Profiles and Influencing Factors of Voice Behavior among Chinese Nurses by Shuangying Huang, Hanwen Chen, Liyan Zhang, Xianming Weng, Lingming Zhou, Xiaoqin Ma, Weiyi Wang

“…The present study utilized latent profile analysis to examine the potential profiles, current status, and determinants of nurses' voice behavior on a national scale, with the aim of formulating targeted intervention strategies to enhance nurses' capacity for constructive feedback. Methods This study employed a cross-sectional survey design and recruited nurses from medical institutions in China as research participants between November 2023 and January 2024. …”
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Molecular genetic detection and differentiation of <i>Xanthomonas oryzae</i> pv. <i>oryzicola</i>, bacterial leaf streak agents of rice by M. L. Koroleva, S. A. Blinova, A. A. Shvartsev, V. E. Kurochkin, Ya. I. Alekseev

“…To evaluate the analytical sensitivity of the assay, a vector construct based on the pAL2-T plasmid was created through the insertion of X. o. pv. oryzicola target fragment (290 bp). …”
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South African Open Distance Elearning Student: The Types, Effectiveness, and Preference of Feedback Support by Morakinyo Akintolu, Mohamed Ahmed Mitwally, Moeketsi Letseka

“…The findings indicate that proactive and prompt feedback significantly enhances student learning, emphasising the need for constructive comments within the ODeL framework. The study also identifies specific feedback forms requested by students to improve their educational experience. …”
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Problem of pain in the USA: evaluating the generalisability of high-impact chronic pain models over time using National Health Interview Survey (NHIS) data by Sean Mackey, Titilola Falasinnu, Md Belal Hossain, Mohammad Ehsanul Karim, Kenneth Arnold Weber

“…We assessed the models’ generalisability and drew comparisons across time. We constructed five validation scenarios to account for variations in the availability of predictor variables across datasets and different time frames for pain assessment questions. …”
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Smart Pharmaceutical Monitoring System With Personalized Medication Schedules and Self-Management Programs for Patients With Diabetes: Development and Evaluation Study by Jian Xiao, Mengyao Li, Ruwen Cai, Hangxing Huang, Huimin Yu, Ling Huang, Jingyang Li, Ting Yu, Jiani Zhang, Shuqiao Cheng

“…The system’s ability to provide medication guidance and health management was assessed by senior health care professionals using a 5-point Likert scale across 3 groups: outputs generated by the system (DUMS group), outputs refined by pharmacists (intervention group), and outputs generated by ChatGPT-4 (GPT-4 group). ResultsWe constructed a cloud-based drug information management system loaded with 475 diabetes treatment–related medications; 684 medication constraints; and 12,351 drug-drug interactions and theoretical supports. …”
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Triaxial compression characteristics and brittleness evaluation of calcareous sand cemented with EICP and coir fiber by Xueliang Jiang, Haodong Wang, Hui Yang, Ting Du, Pan Liu, Jiaxin Duan

“…The brittleness evaluation index (BEICP) constructed based on these parameters can effectively evaluate its brittleness properties. (5) Under different confining pressures, the BEICP of EICP-FS samples is generally lower than that of EICP-S samples. …”
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Identification and validation of prognostic biomarkers in ccRCC: immune-stromal score and survival prediction by Fang Lyu, Yuxin Zhong, Qingliu He, Wen Xiao, Xiaoping Zhang

“…The prognostic accuracy was assessed through ROC curve analysis, and a nomogram integrating risk scores with clinical variables was constructed. Analyses of immune infiltration, human leukocyte antigen (HLA) expression, immune checkpoint expression, immunophenoscore (IPS), tumor immune dysfunction and exclusion (TIDE) scores, and responses to six targeted therapies were conducted across different risk groups. …”
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Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models by Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young

“…Utilizing five machine learning models, namely linear regression (LR), least absolute shrinkage and selection operator (LASSO), extreme gradient boosting (XGBoost), random forest (RF), and support vector regression (SVR), we constructed inversion models. The results revealed that the XGBoost model exhibited the highest prediction capacity for Chl-a concentration retrieval using Sentinel-2 (S2) data (R2 = 0.64, RMSE = 8.58 micrograms per liter (μg/l), bias = −0.09). …”
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