In Silico Study of Coumarins: Wedelolactone as a Potential Inhibitor of the Spike Protein of the SARS-CoV-2 Variants by Saurav Katuwal, Siddha Raj Upadhyaya, Rishab Marahatha, Asmita Shrestha, Bishnu P. Regmi, Karan Khadayat, Saroj Basnet, Ram Chandra Basnyat, Niranjan Parajuli

“…Physicochemical, QSAR, and pharmacokinetics analyses of the coumarins revealed wedelolactone as the best inhibitor of the spike protein with ideal Lipinski’s drug-likeness and optimal ADMET properties. Furthermore, coarse-grained molecular dynamics (MD) simulation studies of spike protein-wedelolactone complexes validated the stable binding of wedelolactone in the respective binding pockets. …”
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EFFECT OF THE FILL VENTILATION WINDOW ON PERFORMANCE OF A NATURAL DRAFT COOLING TOWER SUBJECTED TO CROSS-WINDS by K. V. Dobrego

“…Results of the investigation may be helpful for optimal design of natural draft and perspective “hybrid” cooling towers.…”
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Autophagy: A New Avenue and Biochemical Mechanisms to Mitigate the Climate Change by Muhammad Abubakkar Azmat, Malaika Zaheer, Muhammad Shaban, Saman Arshad, Muhammad Hasan, Alyan Ashraf, Muhammad Naeem, Aftab Ahmad, Nayla Munawar

“…., old or damaged organelles, aggregates, and inactive or misfolded proteins. In optimal conditions, autophagy in plants ensures cellular homeostasis, proper plant growth, and fitness. …”
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Partisipasi Politik Anak Muda Dalam Pembangunan Desa di Kabupaten Indramayu (Studi Pada Desa Pabean Udik) by Anwar Ilmar, Ardli Johan Kusuma, Danis Tri Saputra Wahidin, Iswahyuni Iswahyuni, Angela Efianda

“…Penyebabnya adalah hambatan struktural berupa peran pemerintah yang belum optimal memberikan layanan informasi dan pelibatan warga secara pro aktif. …”
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Biodegradation of Congo Red Azo Dye Using Lysinibacillus Capsici Immobilized on Polyurethane foam Biocarrier in Moving Bed Bioreactor by Soroush Dayani Najafabadi, Maryam Hasani Zonoozi, Roya Aliaskarian

“…Dye removal in this system was optimized, maintaining the pH at 7 ± 0.2, the temperature at 35 ± 1.0 °C, and COD at 980 mg/L. …”
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PreMevE‐MEO: Predicting Ultra‐Relativistic Electrons Using Observations From GPS Satellites by Yinan Feng, Yue Chen, Youzuo Lin

“…We developed an innovative Sparse Multi‐Inputs Latent Ensemble NETwork (SmileNet) which combines convolutional neural networks with transformers, and we used long‐term in situ electron data from NASA's Van Allen Probes mission to train, validate, optimize, and test the model. It is shown that PreMevE‐MEO can provide hourly nowcasts with high model performance efficiency and high correlation with observations. …”
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RETRACTED ARTICLE: Screening and identification of susceptibility genes for cervical cancer via bioinformatics analysis and the construction of an mitophagy-related genes diagnosti... by Zhang Zhang, Fangfang Chen, Xiaoxiao Deng

“…Furthermore, using machine learning algorithms, we constructed a clinical prognostic model and validated and optimized it via extensive clinical data. Through bioinformatics analysis, we successfully identified a group of genes whose expression significantly differed during the development of CC and revealed the biological pathways in which these genes are involved. …”
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CONTINGENCY FACTORS AND MANAGEMENT ACCOUNTING PRACTICES OF LISTED MANUFACTURING FIRMS IN LAGOS STATE by Mustapha Abdulrasaq, Abdullahi Adio Babatunde, Isaac Biodun Ogunshola

“… Given the critical roles of management accounting information in supporting managerial functions, its usage, to optimize organizations values, must be aligned with firm’s characteristics or contingencies. …”
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The contribution of forest coffee certification program to household income and resource conservation: Empirical evidences from Southwest Ethiopia by Diriba Abdeta, Alemayehu N. Ayana

“…The current premium payment of $0.87 (46 birr) per kg is identified as the optimal incentive for compliance with FCCP requirements. …”
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DFT Study and Antiparasitic Activity of Some Azo Dyes Containing Uracil by Nevin Süleymanoğlu, Pınar Kubaşık, Şahin Direkel

“…The molecular structures of the possible tautomeric forms of dyes I and II were optimized, and their molecular total energies were calculated in the gas phase and DMSO solvent. …”
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Monitoring of enzymatic cleavage reaction of GST-fusion protein on biolayer interferometry sensor by Sena Tarumoto, Sei Inoue, Rina Yanagimoto, Takashi Saitoh

“…This method enables a more efficient search for the optimal conditions for the tag cleavage reaction in fusion proteins, a process that has historically required a substantial amount of time and effort.…”
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The Borehole Water Intakes Mathematical Models with a Branched and Circular Connection Schemes for Prefabricated Water Conduits by V. V. Veremenyuk, V. V. Ivashechkin, V. I. Krytskaya

“…Under the new conditions, in order to properly develop water intake operating modes which meet the minimum energy consumption for lifting and delivering a required volume of water to the collection-and-control tanks, to accurately choose the appropriate water lifting equipment in wells, to develop measures for intensifying water intake alongside with a forecast of their efficiency and to optimize the operation of the water intake, it is necessary to create its mathematical model that allows performing complex calculations. …”
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Water Reduction of Biodegradable Plastic From Bagasse By-Product With Synergistic Effect of Graphene Oxide Reinforcement and Citric Acid Crosslinking by Atalay Alemayehu, Mezigebu Belay

“…The biodegradability at the optimal values of crosslinker concentration, crosslinking time, and crosslinking temperature of pure cellulose of bagasse, 10% CA crosslinked bagasse, and 10% CA crosslinked bagasse with 15% GO reinforcement in 30 days were found to be 94.0397%, 56.91%, and 40.81%, respectively. …”
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Adaptive selection method of desensitization algorithm based on privacy risk assessment by Lijun ZU, Yalin CAO, Xiaohua MEN, Zhihui LYU, Jiawei YE, Hongyi LI, Liang ZHANG

“…The financial industry deals with a vast amount of sensitive data in its business operations.However, the conventional approach of binding financial data for desensitization and using desensitization algorithms is becoming inefficient due to the fast-paced growth of financial businesses and the proliferation of data types.Additionally, manual verification and assessment of desensitized data by security experts are time-consuming and may carry potential privacy risks due to the improper selection of desensitization algorithms.While prior research has emphasized desensitization methods and privacy-preserving technologies, limited work has been conducted on desensitization algorithms from the perspective of automation.To address this issue, an adaptive recommendation framework was propose for selecting desensitization strategies that consider various factors, such as existing privacy protection technologies, data quality requirements of business scenarios, security risk requirements of financial institutions, and data attributes.Specifically, a dual-objective evaluation function was established for privacy risk and data quality to optimize the selection of desensitization algorithm parameters for different algorithms.Furthermore, the desensitization algorithm and parameters were adaptively selected by considering the data attributes through a multi-decision factor system and desensitization effect evaluation system.Compared to traditional approaches, the proposed framework effectively tackle issues of reduced data usability and inadequate personal data privacy protection that derive from manual intervention.Testing on a dataset with multiple financial institution types, the experiments show that the proposed method achieves a recommendation accuracy exceeding 95%, while the desensitized privacy risk level differed by less than 10% from the expected level.Additionally, the recommendation efficiency is 100 times faster than expert manual processing.…”
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Low Lymphocyte-to-Monocyte Ratio as a Possible Predictor of an Unfavourable Clinical Outcome in Patients with Acute Ischemic Stroke after Mechanical Thrombectomy by Katarína Pinčáková, Georgi Krastev, Jozef Haring, Miroslav Mako, Viktória Mikulášková, Vladimír Bošák

“…The value of 3.27 was chosen to be the optimal cut-off value of LMR. This value could predict the unfavourable clinical outcome with a 74.0% sensitivity and a 54.4% specificity. …”
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Surface charge change in carbonates during low-salinity imbibition by Felix Feldmann, Emad W. Al-Shalabi, Aksel Hiorth

“…Abstract Optimizing the injection water salinity could present a cost-effective strategy for improving oil recovery. …”
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An Artificial Intelligent Virtual Reality Interactive Model for Distance Education by Wenjing Yin

“…Specifically, a Newton polynomial is used for max-polynomials arising from the stereoscopic problem of augmented reality used to indirectly indicate the number of linear regions in order to optimize the problem. The proposed application is related to the training course of agricultural education and methods of modernization of crops, including additional sound, 3D graphics, and short film projection. …”
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A Study of an Anomaly Detection System for Small Hydropower Data considering Multivariate Time Series by Bo Yang, Zhongliang Lyu, Hua Wei

“…Data anomaly detection in small hydropower stations is an important research area because it positively affects the reliability of optimal scheduling and subsequent analytical studies of small hydropower station clusters. …”
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Navigating the Editorial Gauntlet for Excellence in Radiology Publishing by Chander Mohan, Manphool Singhal, Ashish Verma

“…It also discusses the role of the EiC in educating prospective authors and residents on academic writing, and the optimal utilization of an advisory board to advance the journal's mission. …”
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The effectiveness of interactive learning media on dance dynamics material using articulate storyline 3 in elementary schools by Cicilia Ika Rahayu Nita, Alfina Dela Wati

“…However, in reality, teachers have not utilized technological advances optimally in utilizing learning media in the classroom. …”
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