Classification of Oil Loss Levels in Palm Oil Processing Using Near-Infrared Spectroscopy with Machine Learning by Muhamad Ilham Fauzan, Jaka Adi Baskara, Wahyuningdiah Trisari Harsanti Putri, Quintin Kurnia Dikara

“…The results of the study indicate that applying machine learning methods to FOSS-NIRS data can enhance the accuracy of oil loss classification, making it a potential solution for broader implementation in the palm oil processing industry to optimize production efficiency.   …”
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Advancements and Prospects in Algal Biofuel Production: A Comprehensive Review by Halina Falfushynska

“…Technologies such as the oil-to-jet process and Fischer–Tropsch synthesis are being optimized to convert algal lipids into high-quality fuels. …”
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tem cells in treating patients with coronary heart disease. Part II. Bone marrow-derived mononuclear cells by N. S. Zhukova, I. I. Staroverov

“…Such issues as the preferential source for SC transplantation in clinical settings, the method of cell transport into myocardium, the optimal cardiomyoplasty time, the number of the transplanted cells and the methods for their pre-transplantation processing are still under discussion. …”
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Study on the extraction and stability of total flavonoids from Millettia speciosa Champ. by Junhai Liu, Xiaosha Guo, Tengteng Yang, Xiaoli Wang, Yinku Liang

“…Millettia speciosa Champ, a member of the Leguminosae family and the genus Millettia, is a rich source of total flavonoids. Investigating the extraction methods and stability of total flavonoids from Millettia speciosa Champ using ultrasound-assisted extraction is crucial for enhancing its medicinal value and advancing the modernization of traditional Chinese medicine. …”
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Targeting Antibodies to Carbon Nanotube Field Effect Transistors by Pyrene Hydrazide Modification of Heavy Chain Carbohydrates by Steingrimur Stefansson, Hena H. Kwon, Saeyoung Nate Ahn

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Design and Simulation of an Irish Potato Peeling machine. by Namuri, Gift Evelyn

“…Prototype testing was conducted using Irish potatoes with an Irish potato sourced locally. Results demonstrate the machine can peel potatoes with an average efficiency of 90% and can reduce peeling time by 70% compared to manual methods. …”
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Optimalisasi Badan Penasihatan Pembinaan dan Pelestarian Perkawinan Kepenghuluan Dalam Meminimalisir Angka Perceraian by Bagus Kusumo Hadi, Opia Tatarisanto, Adam Dewantara Putra, Asyifa Nur Azizah, Taufik Pajar Pebriansyah

“…However, the effectiveness of its application in various regions in preventing divorce is still limited. This research method uses qualitative research with field research with critical analytical descriptive methods, then this composition uses a normative and empirical approach methodology sourced from direct experience in the field. …”
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Image acquisition technology for unmanned aerial vehicles based on YOLO - Illustrated by the case of wind turbine blade inspection by Zhenjun Dai

“…Wind energy, as a renewable energy source, is becoming increasingly important. The maintenance and damage detection of wind turbine blades are particularly crucial. …”
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Investigating the hydrogen renaissance in the global energy transition with AI integration by Abderrahim Lakhouit

“…AI plays a pivotal role in optimizing hydrogen production methods, such as electrolysis, by enhancing process efficiencies through machine learning models that predict and optimize operational parameters. …”
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Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) Quantitative Analysis of L-Arginine in Freeze-Dried Red Dragon Fruits (<i>Hylocereus polyhizus</i>) by Wan Mazlina Md Saad, Mohd Qamarul Aizat Isha, Muhamad Faizzudin Mohamad Zan, Siti Mastura Hanim Sallehoddin

“…The fruit is cultivated worldwide and firmly established as a source of nutrition, thus, making good value in terms of its potential harvesting by various methods. …”
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Advances in Non-Thermal Processing of Meat and Monitoring Meat Protein Gels Through Vibrational Spectroscopy by Huanhuan Li, Chenhui Li, Muhammad Shoaib, Wei Zhang, Arul Murugesan

“…Meat is a vital source of high-quality proteins, amino acids, vitamins, and minerals essential for human health. …”
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An improved hybrid approach involving deep learning for urban greening tree species classification with Pléiades Neo 4 imagery—A case study from Nanjing, Eastern China by Min Sun, Stephane G.P. Debulois, Zhengnan Zhang, Xiaolei Cui, Zhili Chen, Mingshi Li

“…We compared deep learning (DL)-based shadow detection methods with classical index methods in urban green spaces to identify shaded vegetation areas, with the optimal method being selected for subsequent use. …”
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Comparative Study of Free Amino Acid Profiles in Underground Organs of Several Species of the Genus Rumex During Different Phases of the Vegetation Cycle by A. M. Poluyanov, U. A. Matvienko, A. Yu. Sokolova, A. E. Savelyeva, N. A. Durnova, N. V. Bobkova

“…Therefore, understanding the dynamics of bioactive compound accumulation in plants throughout their phenological phases of development is critical to optimizing their potential health benefits.Aim. To compare qualitative composition and dynamics of AA accumulation in the underground organs of four representatives of the Rumex genus: R. confertus, R. crispus L., R. obtusifolius L., R. aquaticus L. of three different vegetative phases.Materials and methods. …”
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Geological technological innovations and contributions in the exploration and development of the Shenfu coalfield by Limin FAN

“…ProspectsThe geological technological innovation targets of the Shenfu coalfield will undoubtedly include investigating sedimentary environments using high-resolution survey methods, constructing large transparent geological models, reducing mine water production through source control for deep coal seam mining, and achieving aquifer structure protection and ecological restoration under high-intensity coal mining.…”
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Can Peritumoral Radiomics Based on MRI Predict the Microvascular Invasion Status of Combined Hepatocellular Carcinoma and Cholangiocarcinoma Before Surgery? by Guo L, Huang C, Hao P, Jia N, Zhang L

“…Then, the Python open-source platform was used for radiomics analysis. Mutual information and recursive elimination methods were used to select the optimal features. …”
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Evaluating Freshwater, Desalinated Water, and Treated Brine as Water Feed for Hydrogen Production in Arid Regions by Hamad Ahmed Al-Ali, Koji Tokimatsu

“…This study highlights the trade-offs between water sourcing, brine treatment, and freshwater purification for hydrogen production, offering insights for optimizing sustainable hydrogen systems in water-stressed regions.…”
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Mitigation of human factor in tomographic post processing of additive manufactured critical parts for aviation application by Stefano Benuzzi, Davide Borghi, Maria Grazia Righi, Natanaele Galavotti, Fabio Esposito

“…The design freedom that Additive Manufacturing allows, enables the designer to develop increasingly optimized parts, capable of joining different geometries (lattice structures, thick walls, geometries optimized for heat dissipation) on a scale that can vary significantly depending on the required application. …”
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Cassava in focus: A comprehensive literature review, its production, processing landscape, and multi-dimensional benefits to society by Abraham Woru Borku, Thomas Toma Tora, Mamush Masha

“…A comprehensive evaluation of cassava's production, processing, and utilization is essential to optimize its role as a sustainable food source in Ethiopia.…”
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Bytecode-based approach for Ethereum smart contract classification by Dan LIN, Kaixin LIN, Jiajing WU, Zibin ZHENG

“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
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AMR Surveillance in Africa: Are We There Yet? by Prof Sabiha Essack, Sabiha Y. Essack

“…Data reliability and validity, fidelity of laboratory methods and quality assurance are frequently cited limitations raising concerns on the utility of phenotypic AMR surveillance data for policy and practice action.Genomic AMR surveillance in Africa is limited to discrete research projects at Universities and research institutions that describe the resistome, mobilome, virulome and phylogeny using whole genomic sequencing and open-source bioinformatics tools in the main and genomic surveillance capacity is steadily increasing on the content. …”
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