Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders by Muhammad Waleed Iqbal, Muhammad Shahab, Zakir ullah, Guojun Zheng, Irfan Anjum, Gamal A. Shazly, Atrsaw Asrat Mengistie, Xinxiao Sun, Qipeng Yuan

“…Different machine learning models including random forest (RF), k-nearest neighbors (K-NN), decision tree, and support vector machine (SVM), were trained using already available bioactivity data of Src kinase targeting compounds. The performance evaluation of these models demonstrated SVM as the best model, which was further utilized to shortlist 51 highly potent compounds by screening an FDA-approved library of 1040 drugs. …”
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Digital-based emergency prevention and control system: enhancing infection control in psychiatric hospitals by Mi Yang, Xiaojun Zhu, Fei Yan, Xincheng Huang, Zhixue Wu, Xin Jiang, Yan Huang, Zezhi Li

“…Results A total of 116 employees participated in using the system. The system performance evaluation indicated that functionality (3.78 ± 0.68), practicality (4.02 ± 0.74), reliability (3.45 ± 0.50), efficiency (4.14 ± 0.69), accuracy (3.36 ± 0.58), and assessability (3.05 ± 0.47) met basic levels (> 3), with efficiency improvement and practicality achieving a good level (> 4). …”
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Improvement of the management system of the pharmaceutical service of the health care institution by Ye.V. Zalyhina

“…Therefore, it can be concluded that the introduction of new approaches to control the prescription of medicines led to a significant (p<0.002) reduction in the level of errors in appointment lists over 4.5 years by 78.44% compared to the initial value; the higher level of errors in appointment lists corresponds to lower costs for medical care, which is a consequence of the unstable situation on the drug market during the pandemic and the war in Ukraine; the improvement of pharmaceutical service management processes was directed to the following areas of work: planning, control, implementation and functioning of the information system, personnel management, performance evaluation, involvement of interested parties for the formation and implementation of decisions.…”
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Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…The ridge regression technique (L2-regularization) is applied to prevent overfitting during the validation stage of the linear regression model. The model performance evaluation is based on confusion matrices and ROC graphs. …”
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An ecosystem approach to the evaluation and impact analysis of heterogeneous preventive and/or early interventions projects for veterans and first responders in seven countries by S. Lukersmith, L. Salvador-Carulla, C. Woods, T. Niyonsenga, M.R. Gutierrez-Colosia, I. Mohanty, C.R. Garcia-Alonso, D. Diaz-Milanes, J.A. Salinas-Perez, R. Davey, A. Aryani

“…Analysis tools include Global Impact Analytics Framework, multi-layered statistical analysis, performance evaluation using an efficient decision support approach, Project and Grant program social return on investment, visual linking and data connection platform and assessment of gendered lens approaches. …”
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The Perioperative NonaGEnaRIan And cenTenarian suRgICal (GERIATRIC) Risk Stratification Tool by Laurence Weinberg, PhD, Dong Kyu Lee, PhD, Luke Fletcher, MD, Bobby Ou Yang, MD, Jadon Karp, MD, Anoop N Koshy, PhD, Ranjan Guha, FANZCA, Hugh Slifirski, MD, Michael R D’Silva, MD, Rinaldo Bellomo, PhD, Leonid Churilov, PhD

“…Multivariable logistic regression analysis was performed on a training cohort, followed by calibration on a validation cohort, followed by performance evaluation on a testing cohort. The discriminative accuracy was compared to that of the age-adjusted Charlson Comorbidity Index for each outcome. …”
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A critical review on enhancement and sustainability of energy systems: perspectives on thermo-economic and thermo-environmental analysis by Sunday O. Oyedepo, Mufutau A. Waheed, Fidelis I. Abam, Joseph O. Dirisu, Olusegun D. Samuel, Olusegun D. Samuel, Oluseyi O. Ajayi, Tosin Somorin, Abimbola P. I. Popoola, Oluwaseun Kilanko, Philip O. Babalola

“…Such a review study is essential because of the energy system’s impacts on sustainability and performance management requirements, and more importantly, it is crucial to understand the whole picture of performance evaluation of energy systems from the sustainability perspective. …”
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Predicting 30-day mortality in severely injured elderly patients with trauma in Korea using machine learning algorithms: a retrospective study by Jonghee Han, Su Young Yoon, Junepill Seok, Jin Young Lee, Jin Suk Lee, Jin Bong Ye, Younghoon Sul, Se Heon Kim, Hong Rye Kim

“…The models’ performance was compared using metrics such as area under the receiver operating characteristic curve (AUC), accuracy, precision, recall, specificity, F1 score, as well as Shapley Additive Explanations (SHAP) values and learning curves. Results The performance evaluation of the machine learning models for predicting mortality in severely injured elderly patients with trauma showed AUC values for logistic regression, decision tree, random forest, and XGBoost of 0.938, 0.863, 0.919, and 0.934, respectively. …”
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Sistem Pakar Penentuan Penggunaan Bahan Tambahan Pangan untuk Produk Pangan by Melva Linda Aritonang, Kudang Boro Seminar, Nugraha Edhi Suyatma, Irman Hermadi

“…Feature selection with information gain results that mixing is a processing method that is quite influential on the decision tree model with maximum information gain value. The performance evaluation of the decision tree model uses k-fold cross validation with k ten and has the highest accuracy in the tenth iteration of 72.7%. …”
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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with brea... by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

“…To build a nomogram model that integrates the radiomics signature and conventional imaging, a logistic regression method was employed. The performance evaluation of the nomogram involved the area under the receiver operating characteristic curve (AUC), a decision curve analysis, and the calibration slope.ResultsIn an assessment for predicting pCR, the radiomics model displayed an AUC of 0.778 and 0.703 for the training and testing cohorts, respectively. …”
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Audit Sistem Informasi pada Sistem Manajemen Layanan Satu Atap (SIMANTAP) Menggunakan Kerangka COBIT 5.0 (Studi Kasus: Bank Indonesia Provinsi Bengkulu) by Arie Vatresia, Pieters N.P Tambunan, Aan Erlanshari

“…Meanwhile, in order for the SIMANTAP information system to achieve the desired level of capability at level 5 (Optimizing Process), the recommendations that need to be made are to make key performance indicators in all SIMANTAP performance assessments, create a SIMANTAP guide book, and document the level of implementation and performance evaluation. SIMANTAP. …”
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Formulating a Blue Ocean Strategy in the Banking Services Industry: Enhancing Customer Satisfaction through Improved Demand Fulfillment and Presenting an Optimal Pattern by Manuchehr Ghanbari, Ali Sabzali Yameqani, Yousef Rabbani, Kobra Sabzali Yamaqani

“…These actions were divided into human resources, organizational communication, performance evaluation, public relations, advertisement, organizational processes and structures, and placement and architecture. …”
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Toward Understanding of Quiet Human Resource Management Theory in Iranian Organizations: Theoretical Origins, Conceptual Narration and its Consequences by Abbas Nargesian, Sajjad Sadpoor

“…The selective coding stage involved the introduction and elaboration of the theory derived from the data, providing a comprehensive understanding of quiet HRM practices.ConclusionQuiet HRM encompasses various dimensions, including quiet firing, quitting, hiring, promotion, and performance evaluation. These practices often stem from individual factors such as superior employee skills and performance, job-related factors like stress and burnout, and organizational factors including cost-saving measures and workforce restructuring. …”
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Design and implementation of adaptive mimic voting device oriented to persistent connection by Dacheng ZHOU, Hongchang CHEN, Guozhen CHENG, Weizhen HE, Ke SHANG, Hongchao HU

“…Results:A series of comparative experiments between the prototype system of the adaptive mimic voter and the traditional mimic voter is conducted as follows. (1) The evaluation of memory resource occupancy shows that the peak physical memory consumption and the total time of consuming physical memory when the adaptive mimic voter transmits 20MB web resources in chunked transfer encoding are significantly lower than those of the traditional mimic voter. (2) The evaluation of transmission delay shows that the response time of the adaptive mimic voter in the voting processing of 10MB to 320MB chunked transfer-encoded webpage resources is relatively low, indicating that its voting speed has been significantly improved. (3) The concurrency performance evaluation shows that the average of response time of the system applying the adaptive mimic voter under the request concurrency of 1000 to 5000 is lower than that of the traditional mimic voter,and the voting processing throughput is higher than that of the traditional mimic voter.(4)The evaluation of voting accuracy shows that the adaptive mimic voter based on the voting algorithm selects the strategy set is slightly weaker than the semantic feature algorithm and the AHP algorithm while far superior to the character similarity algorithm in the traditional mimic voter, which reveals that the adaptive mimic voter has an acceptable voting accuracy. …”
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Designing an educational model based on identity development with an Iranian-Islamic approach for primary school students. by Ali Oladhamzehzadeh, masoumeh oladiyan, Mahmoud Safari

“…The statistical population in the qualitative section includes 20 experts from the academic community and students' performance evaluation specialists, and in the quantitative section, it includes principals, assistants, teachers and staff of elementary schools in District five of Tehran. …”
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Providing an entrepreneurial marketing model based on teamwork with an emphasis on start-up companies by Parastoo Bafghi, Mahmoud Ahmadi Sharif, Sina Nematizadeh

“…The results showed that 5 comprehensive themes and 13 organized themes and 87 basic codes were identified and extracted from the theme analysis method, and then using interpretative structural modeling, the identified indicators were leveled; and the results showed that the fourth level includes marketing strategy (C04) is the most effective one that acts as the cornerstone of the model and directly affects the third level criteria (content and marketing tools (C03), and marketing performance evaluation (C02)). The first level includes the development of teamwork (C04) as the most effective level. …”
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Identifying and analyzing drivers of innovative behavior based on strategic management of human resources in knowledge-based organizations by Mitra Sadoughi

“…Also, the findings of data analysis in the quantitative section showed that the extracted pattern has good fit; and behavioral capabilities, performance evaluation, thoughtfulness, job satisfaction, self-efficacy, justice-orientation, participation, competitiveness, professional ethics, Inter-sectoral relationship, collaborative management, and pragmatism, have respectively had the highest importance in developing innovative behaviors in knowledge-based organizations and university development centers. …”
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Computational analysis of heat transfer and fluid flow characteristics in a diamond microchannel heat sink with orthogonal ribs by Liang Du, Wenbo Hu, Ningkang Deng, Zhaoyang Zhang, Hongxing Wang

“…When the rib width is 0.4, the performance evaluation coefficient reaches 1.92. Therefore, the unique rib arrangement design of the orthogonal rib microchannel heat sink not only optimizes fluid flow and enhances heat transfer capacity but also effectively addresses the heat dissipation challenges of electronic devices. …”
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Fourier Descriptor Pada Klasifikasi Daun Herbal Menggunakan Support Vector Machine Dan Naive Bayes by Mutmainnah Samir, Purnawansyah, Herdianti Darwis, Fitriyani Umar

“…SVM is implemented with four kernels namely linear, polynomial, Radial Basis Function (RBF), and Sigmoid while Naive bayes is applied with three types of kernels namely Gaussian, multinomial, Bernoulli. Performance evaluation includes precision, accuracy, F1- score and recall. …”
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Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter by Teuku Radillah, Okta Veza, Sarjon Defit

“…Both models, BERT and XLNet, were trained and tested using the same dataset. Performance evaluation was conducted using accuracy, precision, recall, and F1-score metrics. …”
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