Analyzing the Effectiveness of Performance Appraisal Systems in Improving Employee Motivation: A Case Study of Kihanga Mparo SACCO in Rukiga District. by Barigye, Augustine

“…By setting clear goals, providing constructive feedback, recognizing achievements, and ensuring fairness, these systems contribute significantly to a motivated and engaged workforce. …”
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Photometric Selection of Type 1 Quasars in the XMM-LSS Field with Machine Learning and the Disk–Corona Connection by Jian Huang, Bin Luo, W. N. Brandt, Ying Chen, Qingling Ni, Yongquan Xue, Zijian Zhang

“…We present photometric selection of type 1 quasars in the ≈5.3 deg ^2 XMM-Large Scale Structure survey field with machine learning. We constructed our training and blind-test samples using spectroscopically identified Sloan Digital Sky Survey quasars, galaxies, and stars. …”
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Off-the-shelf CAR-NK cells targeting immunogenic cell death marker ERp57 execute robust antitumor activity and have a synergistic effect with ICD inducer oxaliplatin by Jichao Sun, Dinglan Wu, Liuhai Zheng, Huifang Wang, Jihao Zhou, Guangwei Shi, Jingbo Ma, Yuke Jiang, Zhiyu Dong, Jiexuan Li, Yuan-Qiao He, Chengchao Xu, Zhijie Li, Jigang Wang

“…A candidate Nb with high binding affinity to both human and mouse ERp57 was used for constructing CAR-NK cells. Various in vitro and in vivo studies were performed to assess the antitumor efficacy of the constructed CAR-NK cells.Results We demonstrate that the translocation of ERp57 can not only be induced by low-dose oxaliplatin (OXP) treatment but also is spontaneously expressed on the surface of various types of tumor cell lines. …”
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Using partially shared radiomics features to simultaneously identify isocitrate dehydrogenase mutation status and epilepsy in glioma patients from MRI images by Yida Wang, Ankang Gao, Hongxi Yang, Jie Bai, Guohua Zhao, Huiting Zhang, Yang Song, Chenglong Wang, Yong Zhang, Jingliang Cheng, Guang Yang

“…Although machine learning models have been constructed for both issues, the correlation between them has not been explored. …”
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Network pharmacology and molecular analysis of mechanisms underlying the therapeutic effects of Rhubarb in treating atherosclerosis and abdominal aortic aneurysm by Huilin Xu, Jun Huang, Youjie Zeng, Xia Wang, Huilin Lian, Siyi Zhang, Ren Guo

“…Gene interactions were utilized to identify common targets of Rhubarb with AS/AAA, and interaction networks were constructed using Cytoscape 3.9.1. Protein-protein interaction (PPI) networks for the core targets were constructed using the STRING database. …”
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Characterization of G2/M checkpoint classifier for personalized treatment in uterine corpus endometrial carcinoma by Yiming Liu, Yusi Wang, Shu Tan, Xiaochen Shi, Jinglin Wen, Dejia Chen, Yue Zhao, Wenjing Pan, Zhaoyang Jia, Chunru Lu, Ge Lou

“…Unsupervised clustering was performed to construct G2/M checkpoint (G2MC) subtypes. The differences in biological and clinical features of different subtypes were compared through survival analysis, clinical characteristics, immune infiltration, tumor mutation burden, and drug sensitivity analysis. …”
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Osimertinib exacerbates immune checkpoint inhibitor-related severe adverse events by activating the IL-6/JAK/STAT3 pathway in macrophages by Yuan Li, Yanping Chen, Yuan Meng, Meng Shen, Fan Yang, Xiubao Ren

“…Methods: An osimertinib and ICI-induced irAE mouse model was constructed. Lung micro-CT scans were used to assess the degree of inflammatory infiltration. …”
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In Vivo Tracking of Chemokine Receptor CXCR4-Engineered Mesenchymal Stem Cell Migration by Optical Molecular Imaging by Senthilkumar Kalimuthu, Ji Min Oh, Prakash Gangadaran, Liya Zhu, Ho Won Lee, Ramya Lakshmi Rajendran, Se hwan Baek, Yong Hyun Jeon, Shin Young Jeong, Sang-Woo Lee, Jaetae Lee, Byeong-Cheol Ahn

“…We also developed an eGFP-Fluc2 construct in the Retro-X retroviral vector (Retro-X-eGFP-Fluc2). …”
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Establishment of a prognostic signature and immune infiltration characteristics for uterine corpus endometrial carcinoma based on a disulfidptosis/ferroptosis-associated signature by Yong Huang, Huibin Li, Zhifu Wei, Wanshan He, Bin Chen, Shuang Cheng, Zhifang Zhao, Lv Deng, Lv Deng, Xiaohua Chen, Yu Lin, Yu Lin, Xiaoshan Hong, Xiaoshan Hong

“…Based on these DFRGs, we constructed a robust prognostic model with significantly lower overall survival in the high-risk group than in the low-risk group, with differences in tumor burden and immune invasion between the different risk groups. …”
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Development and validation of the “Adjustment Disorder Scale for Medically Ill Patients - ETAM” by Juan Pablo Zapata-Ospina, Natalia Rodríguez, Ayda Margarita Rodríguez, Jenny García-Valencia, Mercedes Jiménez-Benítez, Nicolás Martínez-Ramos, Diana Restrepo Bernal, Ana Lucía Gallego, Carolina Gómez, Luis Fernando Tabares, Carlos Cardeño-Castro, Daniel Camilo Aguirre-Acevedo

“…Criterion validity evidence was obtained with an independent psychiatrist’s diagnosis, with an AUROC of 0.99, and convergent validity was consistent with hypotheses of correlation with other instruments with similar constructs. Discrimination and difficulty parameters were calculated for each item.ConclusionThe ETAM is a scale with evidence of validity and reliability that can be used for the diagnosis of AD in medically ill patients in Colombia.…”
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Mesalazine: a novel therapeutic agent for periodontitis via regulation of periodontal microbiota and inhibiting Porphyromonas gingivalis by Yuqi Wang, Yuqi Wang, Jun Ma, Haoyu Wang, Haoyu Wang, Jingzheng Yi, Yuxin Bai, Yuxin Bai, Min Hu, Min Hu, Jiaqing Yan, Jiaqing Yan

“…An animal model of periodontitis in rats was successfully constructed in vivo. Mesalazine treatment inhibited alveolar bone resorption, alleviated inflammation of periodontal tissues, and improved the composition of the periodontal flora to a healthier state. …”
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A nomogram prediction model for mild cognitive impairment in non-dialysis outpatient patients with chronic kidney disease by Qin Yang, Yuhe Xiang, Guoting Ma, Min Cao, Yixi Fang, Wenbin Xu, Lin Li, Qin Li, Yu Feng, Qian Yang

“…Subsequently, regression models was constructed, and a nomogram was drawn. The restricted cubic spline diagram was drawn to further analyze the relationship between the continuous numerical variables and MCI. …”
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Virtual biopsy for non-invasive identification of follicular lymphoma histologic transformation using radiomics-based imaging biomarker from PET/CT by Chong Jiang, Chunjun Qian, Qiuhui Jiang, Hang Zhou, Zekun Jiang, Yue Teng, Bing Xu, Xin Li, Chongyang Ding, Rong Tian

“…Abstract Background This study aimed to construct a radiomics-based imaging biomarker for the non-invasive identification of transformed follicular lymphoma (t-FL) using PET/CT images. …”
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Radiomics analysis of thoracic vertebral bone marrow microenvironment changes before bone metastasis of breast cancer based on chest CT by Hao-Nan Zhu, Yi-Fan Guo, YingMin Lin, Zhi-Chao Sun, Xi Zhu, YuanZhe Li

“…Multiple machine learning algorithms were utilized to construct various radiomics models for predicting the risk of bone metastasis, and the model with optimal performance was integrated with clinical features to develop a nomogram. …”
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Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study by Yubing Wang, Chao Qu, Jiange Zeng, Yumin Jiang, Ruitao Sun, Changlei Li, Jian Li, Chengzhi Xing, Bin Tan, Kui Liu, Qing Liu, Dianpeng Zhao, Jingyu Cao, Weiyu Hu

“…Conclusion This study employed the machine learning combination algorithms and preoperative ultrasound imaging data to construct an SVM + RF predictive model, enabling effective preoperative differentiation of gallbladder adenomas and cholesterol polyps. …”
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Efficacy of first-line radiofrequency ablation combined with systemic chemotherapy plus targeted therapy for initially unresectable colorectal liver metastases by Yaqing Kong, Xiaoyu Huang, Gang Peng, Xiaojing Cao, Xiang Zhou

“…Based on this finding, nomograms with good discrimination and calibration were constructed.Conclusion RFA combined with systemic chemotherapy plus targeted therapy as first-line treatment could significantly prolong PFS and OS in patients with initially unresectable CRLM compared with systemic chemotherapy plus targeted therapy. …”
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Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics by F. Cadini, E. Zio, N. Pedroni

“…Artificial neural networks are powerful algorithms for constructing nonlinear empirical models from operational data. …”
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Determination of the diffusion coefficient in sodium chloride solution at different concentrations by Antonio Marcos de Oliveira Siqueira, Gabriel Luz Chaves, Joyce de Souza Tanure, Luana Ventura Dutra, Nathan Barros de Souza, Thomás Corrêa Vianna

“…This work employed the study of the diffusion phenomena in a diffusion cell constructed by the authors themselves based on materials found in laboratories, trying to calculate the diffusion coefficient of a solution of sodium chloride in water through the variation of conductivity. …”
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An Approximate Proximal Bundle Method to Minimize a Class of Maximum Eigenvalue Functions by Wei Wang, Lingling Zhang, Miao Chen, Sida Lin

“…The essential idea to solve the optimization problem in this paper is similar to the thought of proximal bundle method, but the difference is that we choose approximate subgradient and function value to construct approximate cutting-plane model to solve the above mentioned problem. …”
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Interactive English Online Teaching System Based on B/S Model by Wanhong Gu, Yaxiong Yuan

“…In addition, this paper combines intelligent algorithms to construct an online interactive teaching system for English. …”
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