Biological Evaluation of Silver-Treated Silk Fibroin Scaffolds for Application as Antibacterial and Regenerative Wound Dressings by Federica Paladini, Carmen Lanzillotti, Angelica Panico, Mauro Pollini

“…Chronic wounds represent a major clinical challenge due to their prolonged healing process and susceptibility to bacterial colonization, particularly by biofilm-forming bacteria. …”
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APPLICATION OF EXPECTED CREDIT LOSS MODEL AND MARKOV CHAIN TO CALCULATE NET SINGLE PREMIUM OF UNSECURED CREDIT INSURANCE by Hansen Juni Lieus, Devin Tedja, Vanessa Joewita, Agus Sofian Eka Hidayat, Alexander R. J Silalahi

“…Thus, the 5,000-iteration process was repeated with the newly adjusted PDC value, which were  = 0.998924 and  = 0.000946. …”
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Genetic Improvement of Banana for Resistance to Xanthomonas Wilt in East Africa by Anastasie Musabyemungu, Jaindra Nath Tripathi, Samwel K. Muiruri, Svetlana V. Gaidashova, Placide Rukundo, Leena Tripathi

“…It is also specific to the target gene and precise modification that avoids unwanted genes in the normal breeding process. Recent developments using genetic engineering and genome editing on bananas have been initiated to tackle these issues. …”
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Implementation of SMOTE to Improve the Performance of Random Forest Classification in Credit Risk Assessment in Banking by Nafa Nur Adifia Nanda, Yuniar Farida, Wika Dianita Utami

“…Before executing the classification process, issues frequently arise when data cannot be directly processed due to class imbalance. …”
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Gel-Based Approaches to Vegan Leather: Opportunities and Challenges in Mimicking Leather Properties by Soon Mo Choi, Do Hyun Lee, Sun Mi Zo, Ankur Sood, Sung Soo Han

“…However, these materials have sustainability limitations due to their non-biodegradability and associated environmental burdens. To overcome these issues, this review critically explores the feasibility of developing vegan leather using gel-based materials derived from natural and synthetic polymers. …”
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Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

“…Abstract Plant disease identification and detection refer to the process of recognizing and diagnosing diseases that affect plants. …”
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Transplantation of Regulatory Impact Assessment+: Repositioning Academic Draft in Lawmaking by Muhammmad Hamzah Al Faruq, Garuda Era Ruhpinesthi, Alfatania Sekar Ismaya

“…As far as the Law Number 13 of 2022 was issued, the Academic Draft making process still shows the minimum participation of affected communities. …”
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Life Cycle Assessment of Electro-Submersible Pump Systems: Carbon Footprint Mitigation Using Improved Downhole Technology by Manolo Córdova-Suárez, Juan Córdova-Suárez, Ricardo Teves, Enrique Barreno-Ávila, Fabian Silva-Frey

“…Climate change has driven global awareness of environmental issues, leading to the adoption of clean technologies aimed at reducing Greenhouse Gas (GHG) emissions. …”
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Starch metabolism in potato <i>Solanum tuberosum</i> L. by E. M. Sergeeva, K. T. Larichev, E. A. Salina, A. V. Kochetov

“…Less is known about features of starch metabolism in storage organs, in particular, potato tubers. Several issues remain obscure: the roles of enzyme isoforms and different regulatory factors in tissues at various plant developmental stages and under different environmental conditions; alternative enzymatic processes; targeting and transport proteins. …”
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A Deep Learning‐Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non‐Linearity and Non‐Gaussianity Challenges by Chenglong Cao, Jiangjiang Zhang, Wei Gan, Tongchao Nan, Chunhui Lu

“…Traditional DA techniques, like ensemble smoother using the Kalman formula (ESK) and Markov chain Monte Carlo, face challenges when confronted with the non‐linearity, non‐Gaussianity, and high‐dimensionality issues commonly encountered in aquifer characterization. …”
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Integrating artificial intelligence in drug discovery and early drug development: a transformative approach by Alberto Ocana, Atanasio Pandiella, Cristian Privat, Iván Bravo, Miguel Luengo-Oroz, Eitan Amir, Balazs Gyorffy

“…Ethical and regulatory issues, such as data privacy, also challenge the implementation of AI. …”
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Online citizen science in higher education courses by Stacy R. Cotey, Amy K. Dunbar‐Wallis, Yaela N. Golumbic, Pankaj Mehrotra, David A. Beamer, Heather D. Vance‐Chalcraft

“…Abstract Climate change and biodiversity loss require us to engage the next generation of scientists in addressing global ecological issues. Introducing undergraduate students to citizen science allows them to learn scientific processes and content while contributing to real‐world applications. …”
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XAI-Based Framework for Protocol Anomaly Classification and Identification to 6G NTNs with Drones by Qian Sun, Jie Zeng, Lulu Dai, Yangliu Hu, Lin Tian

“…The internal capture processes and matching results of DL models are useful for addressing these issues. …”
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Production of Bio-Gasoline with High Octane Number, as a Renewable Transportation Biofuel, via Thermochemical Conversion of Castor Oil by R. Parvizsedghy, M. Alibolandi, S. M. Sadrameli

“…Vegetable oils are proved as valuable feedstocks in the biofuel production. Some common issues of cracking of vegetable oils–as an effective method for the biofuel production- are related to the glycerol decomposition during the cracking process. …”
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Flow modulation on hydraulic river behavior between al-abbassia and al-shammia barrages using HEC-RAS2D by Zainab Abbass, Jaafar Maatooq, Mustafa Al-Mukhtar

“…These results offer valuable insights into the future behavior of river channels under various flow scenarios, which can help in addressing issues arising from prevailing fluvial processes.…”
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Life cycle assessment and sensitivity analysis of carbon emissions in full depth reclamation with portland cement and conventional pavement repair by Haiwei Zhang, Qingqing Zhang, Chuangdan Luo, Ning Liu, Ke Wang

“…Subsequently, carbon emission models were established based on the life cycle assessment (LCA) method and the construction processes, allowing for a comparison of carbon emissions and energy consumption among the three technologies. …”
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Drying time of plaster within in-fill plasterboard walls and evaporation theory for water within gypsum: methodology, numerical simulation and application by Shuang-Xi Zhou, Jian-Xin Li, Shu-Feng Bao, Yang Ding, Yong-Qi Wei, An-Ming She, Zhen-Zhen Guo, Jing-Liang Dong

“…Therefore, it is important to determine the drying time and the moisture-transfer behaviour during the construction process. By using different thicknesses of gypsum samples, adding different amounts of perlite and adjusting the relative humidity, whether the gypsum board is covered, the drying and evaporating process of gypsum was compared and analysed. …”
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Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

“…A cloud computing resource scheduling algorithm based on sampled collaborative knowledge graph network is designed to address the issues of lag in the process of cloud computing resource scheduling, high overall load rate, and large transient amplitude and phase errors. …”
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Deep Forest Modeling: An Interpretable Deep Learning Method for Mineral Prospectivity Mapping by Yue‐Lin Dong, Zhen‐Jie Zhang

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Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM) by Shaochuan Li, Peisong Diao, Xianghao Li, Yongli Zhao, Hongda Zhao

“…This paper presents the design of a straw treatment device to address these issues. The cutting edge of a straw-cutting disc is optimized using an involute curve, and the key structural parameters of the device are designed by analyzing the process of stubble cutting and clearing. …”
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