Encapsulation of Bacillus thuringiensis using sodium alginate and chitosan coacervates for insect-pest management by P. Duraimurugan, K.S.V.P. Chandrika, E. Bharathi, D. Neethu Roy

“…The study investigates the complex coacervation process of sodium alginate (SA) and chitosan (CS), aiming to optimize the yield of coacervates formed from these marine polysaccharides. …”
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Integration of the analytic hierarchy process and Monte Carlo feature selection for a spatiotemporal weighting scheme in meteorological drought monitoring by Muhammad Hamza, Rizwan Niaz, Ibrahim Ali H Nafisah, Luca Di Persio, Abdulkareem M. Basheer, Mohammed M. A. Almazah

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Network-Based Bag-of-Words Model for Text Classification by Dongyang Yan, Keping Li, Shuang Gu, Liu Yang

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Optimization of Rockburst Grade Prediction Model Based on Multidimensional Feature Selection: Integrated Learning and Index System Correlation Analysis by Jiayang Chen, Xuebin Xie

“…The six-dimensional system in both types of systems can balance the performance and complexity and is the optimal choice for engineering applications. …”
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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…With the increase in online payment volumes, conventional fraud detection technologies are increasingly confronted by the complexity of fraudulent strategies that require intelligent and scalable alternatives. …”
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Artificial intelligence for herbicide recommendation: Case study for the use of clomazone in Brazilian soils by Hamurábi Anizio Lins, Matheus de Freitas Souza, Lucrecia Pacheco Batista, Luma Lorena Loureiro da Silva Rodrigues, Francisca Daniele da Silva, Bruno Caio Chaves Fernandes, Stefeson Bezerra de Melo, Paulo Sergio Fernandes das Chagas, Daniel Valadão Silva

“…Its interaction is dependent on the properties of the soil and the herbicide itself and, therefore, is considered complex. An alternative to optimize the use of herbicides is the application of mathematical models to estimate the sorption in the soil, contributing to a more efficient control of weeds and bringing more environmental safety. …”
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Effects of Different Fungicides on Paecilomyces formosus, the Causal Agent of Dieback and Canker Diseases of Pistachio by Mohammad Roushanpour, Maryam Soleimani, Mohammad Moradi, Seyed Reza Fani, Zohreh Jafari, Ehsan Hosseinzadeh, Claudia Probst

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An Economic Analysis of the Interaction between Third-Party Liability for Breach of Contract and Specific Performance: A Comparative Study of United States and Iranian Law by Hasan Alipour, Ahad Shahi Damanjani

“…The findings underscore the complexities involved in reconciling these two legal remedies, particularly from the perspective of economic efficiency and justice.     …”
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OPTIMIZING LONG TEXT CLASSIFICATION PERFORMANCE THROUGH KEYWORD-BASED SENTENCE SELECTION: A CASE STUDY ON ONLINE NEWS CLASSIFICATION FOR INDONESIAN GDP GROWTH-RATE DETECTION by Dinda Pusparahmi Sholawatunnisa, Lya Hulliyyatus Suadaa

“…Additionally, in terms of computational efficiency, sentence selection also accelerates processing time during hyperparameter tuning and fine-tuning, as observed using the same computational resources.…”
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MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model by Yu Zhang, Xin Wang, Jingye Cai, Qun Yang

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Crystal structures of DCAF1-PROTAC-WDR5 ternary complexes provide insight into DCAF1 substrate specificity by Mark F. Mabanglo, Brian Wilson, Mahmoud Noureldin, Serah W. Kimani, Ahmed Mamai, Chiara Krausser, Héctor González-Álvarez, Smriti Srivastava, Mohammed Mohammed, Laurent Hoffer, Manuel Chan, Jamie Avrumutsoae, Alice Shi Ming Li, Taraneh Hajian, Sarah Tucker, Stuart Green, Magdalena Szewczyk, Dalia Barsyte-Lovejoy, Vijayaratnam Santhakumar, Suzanne Ackloo, Peter Loppnau, Yanjun Li, Almagul Seitova, Taira Kiyota, Jue George Wang, Gilbert G. Privé, Douglas A. Kuntz, Bhashant Patel, Vaibhavi Rathod, Anand Vala, Bhimsen Rout, Ahmed Aman, Gennady Poda, David Uehling, Jailall Ramnauth, Levon Halabelian, Richard Marcellus, Rima Al-awar, Masoud Vedadi

“…We report four DCAF1-based PROTACs with endogenous and exogenous WDR5 degradation effects and high-resolution crystal structures of the ternary complexes of DCAF1-PROTAC-WDR5. The structures reveal detailed insights into the interaction of DCAF1 with various WDR5-PROTACs, indicating a significant role of DCAF1 loops in providing needed surface plasticity, and reflecting the mechanism by which DCAF1 functions as a substrate receptor for E3 ligases with diverse sets of substrates.…”
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Multimodal trajectory prediction for intelligent connected vehicles in complex road scenarios based on causal reasoning and driving cognition characteristics by ZhiYong Yang, Jun Yang, Yu Zhou, QinXin Xu, MingHui Ou

“…Abstract The safe and efficient operation of smart Intelligent vehicles relies heavily on accurate trajectory prediction techniques. …”
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Classification of Paddy Rice Planting Area Through Feature Selection Method Using Sentinel-1/2 Time Series Images by Shiyu Zhang, Pengao Li, Yong Xie, Wen Shao, Xueru Tian

“…Utilizing remote sensing technology to accurately and efficiently extract paddy rice planting area is crucial for ensuring food security. …”
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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…These irregular patterns arise from the dynamic and non-uniform nature of feature detection, stereo matching, and map management, which vary significantly with scene complexity and camera movement. Various hardware accelerators have been proposed to address this challenge, but they typically tackle individual aspects of stereo VO, leading to difficulties in combining them efficiently. …”
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Parameter optimization of Mg reduction by thermo-silicon method using Taguchi method, grey relational analysis and preference selection index by Quyen Vu Viet

“…An Fe-Si ratio of 1.3 consistently production efficiency and reducing agent costs. The results demonstrates the efficacy of multi-criteria decision-making techniques in refining complex metallurgical processes and elucidates the interdependencies among operating parameters, offering actionable insights to enhance magnesium yield and ferrosilicon efficiency.…”
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A Deep-Neural-Network-Based Surrogate Model for DC/AC Converter Topology Selection Using Multi-Domain Simulations by Gabriel Avila Saccol, Van-Hai Bui, Wencong Su

“…The selection of optimal DC/AC power converter topologies for specific applications is often a time-consuming and complex task, which can lead to suboptimal choices. …”
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The Effect of Using Computerized Financial Statement Analysis on the Efficiency of Financial Performance: An Empirical Case on Industrial Factor in Project Scheduling-Jordan Case S... by Atallah Alhosban, Fedel Al-Habashneh, George Shawaqfeh, Essa Al-Tarawneh

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Features of the Methods of Training Physical Exercises by Victor BUFTEA

“…Certainly, this information can lead to the selection of the most relevant methodological sequences, the correct application of which can contribute to streamlining the learning process of any technical structure and any content. …”
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An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding by Mohammed Abo-Zahhad, Sabah M. Ahmed, Ahmed Zakaria

“…Firstly, the original ECG signal is preprocessed by detecting QRS complex, then the difference between the preprocessed ECG signal and the estimated QRS-complex waveform is estimated. 2D approaches utilize the fact that ECG signals generally show redundancy between adjacent beats and between adjacent samples. …”
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Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach. by Masud Ibn Afjal, Md Nazrul Islam Mondal, Md Al Mamun

“…Our approach leverages Seg-PCA for effective feature extraction and employs the minimum-redundancy maximum relevance (mRMR) criterion for feature selection. By combining the strengths of both 3D and 2D CNNs, our method efficiently extracts spectral-spatial features. …”
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