Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves by Imane Bouacida, Brahim Farou, Lynda Djakhdjakha, Hamid Seridi, Muhammet Kurulay

“…To confirm the effectiveness of our method, we trained and tested it using the widely acclaimed PlantVillage dataset, recognized as the most utilized dataset for its comprehensive and diverse coverage. …”
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Insights from Self-Reported Student Experiences on using ChatBots by Alexandra-Iulia PĂUCEAN, Sorana D. BOLBOACĂ

“…Our study aimed to explore if and how medical students utilize chatbots to understand the role of artificial intelligence-powered tools in medical education and their implications for future training and practice. …”
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Chromatographic Fingerprint and Quantitative Analysis of Commercial Pheretima aspergillum (Guang Dilong) and Its Adulterants by UPLC-DAD by Jie Sun, Fang Tian, Ying Zhang, Menghua Wu, Runqian Mao, Zhiyong Le, Dongjin Xu, Hui Cao, Zhiguo Ma

“…A method was developed to analyze and authenticate commercial Guang Dilong, utilizing ultra-high performance liquid chromatography (UHPLC) coupled with diode array detection (DAD). …”
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Particle swarm optimization with YOLOv8 for improved detection performance of tomato plants by Sarah M. Ayyad, Nada M. Sallam, Samah A. Gamel, Zainab H. Ali

“…To validate the efficacy of the proposed YOLO-v8 network’s performance, three experiments were conducted employing a unique dataset, collected from different sources. Firstly, two experiments were conducted to formally confirm whether or not the utilized data augmentation technique significantly improved, one with data augmentation and another one with the end-to-end framework without data augmentation. …”
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Carbon footprint reduction in Punjab agriculture: Analyzing impacts and strategies in major crop rotations by Simarjot Kaur, Baljinder Kaur Sidana, Samanpreet Kaur, Asim Biswas

“…This research aimed to evaluate the carbon footprints in Punjab's agriculture, focusing on crop production and its mitigation strategies. Utilizing both primary and secondary data, the study sampled 120 farmers from two Punjab districts, Mansa and Sri Muktsar Sahib, through a multi-stage sampling technique. …”
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Design and Simulation of a Cutting Mechanism for a Millet Harvesting Machine. by Twebazibwe, Edson

“…This report presented the key aspects and findings of a study focused on designing a millet-cutting mechanism that utilizes the scissor mechanism. The purpose of this report is to provide a concise overview of the research conducted and the main outcomes achieved. …”
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Prediction of Li-ion conductivity in Ca and Si co-doped LiZr2(PO4)3 using a denoising autoencoder for experimental data by Yumika Yokoyama, Shuto Noguchi, Kazuki Ishikawa, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Ryo Kobayashi, Masayuki Karasuyama

“…However, a recent use of a materials informatics approach utilizing machine learning shows promise for more efficient property optimization. …”
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Bioprocess exploitation of microaerobic auto-induction using the example of rhamnolipid biosynthesis in Pseudomonas putida KT2440 by Jakob Grether, Holger Dittmann, Leon Willems, Tabea Schmiegelt, Elvio Henrique Benatto Perino, Philipp Hubel, Lars Lilge, Rudolf Hausmann

“…A critical threshold of about 20% oxygen saturation was determined. Conclusions Utilizing the inherent tolerance of P. putida to microaerobic conditions in combination with the application of homologous, low-oxygen inducible promoters is a novel and efficient strategy to control bioprocesses. …”
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A Comprehensive Framework for Parkinson's Disease Detection Using Spiral Drawings and Advanced Machine Learning Techniques by Mohamed J. Saadh, Waleed K. Abdulsahib, Hardik Doshi, Anupam Yadav, J. Gowrishankar, Mayank Kundlas, Nargiza Mansurova, Kamal Kant Joshi, Fadhil Feez Sead, Bagher Farhood

“…Future research should focus on integrating multiple data sources and exploring real‐time applications to enhance scalability and clinical utility.…”
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Inducible engineering precursor metabolic flux for synthesizing hyaluronic acid of customized molecular weight in Streptococcus zooepidemicus by Rui Zhao, Jun Li, Yingtian Li, Xujuan Pei, Jingyi Di, Zhoujie Xie, Hao Liu, Weixia Gao

“…Results In this study, the type and concentration of carbon sources were manipulated to disrupt the balance of precursor supply. …”
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Biomass Gasification as a Scalable, Green Route to Combined Heat and Power (CHP) and Synthesis Gas for Materials: A Review by Maximilian Lackner, Qiang Fei, Shuqi Guo, Ning Yang, Xiaoping Guan, Peng Hu

“…The high externalized and still partly unknown costs of fossil fuels through air pollution from combustion, and their limited resources have caused mankind to (re)turn to renewable sources such as wind, solar, and biomass to meet its energy needs. …”
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Machine learning approaches for real-time ZIP code and county-level estimation of state-wide infectious disease hospitalizations using local health system data by Tanvir Ahammed, Md Sakhawat Hossain, Christopher McMahan, Lior Rennert

“…The lack of conventional methods of estimating real-time infectious disease burden in granular regions inhibits timely and efficient public health response. Comprehensive data sources (e.g., state health department data) typically needed for such estimation are often limited due to 1) substantial delays in data reporting and 2) lack of geographic granularity in data provided to researchers. …”
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The State of the Art Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market by Vasileios Laitsos, Georgios Vontzos, Paschalis Paraschoudis, Eleftherios Tsampasis, Dimitrios Bargiotas, Lefteri H. Tsoukalas

“…The high penetration of renewable energy sources and the formation of competitive prices for utilities play a critical role in the wider economic development. …”
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Current Status of Cancer Diagnosis and Treatment in Nigeria by Tolulope Joseph Ogunniyi, Boluwatife Samuel Fatokun, Kafayat Omolara Isah, Asmau Abdulbaki, Adeola Roqeebat Emiola, Kesaobaka Batisani

“…Methods This review utilizes publicly available sources such as GLOBOCAN, Google Scholar, PubMed, and other gray literature. …”
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Nitrate dynamics in deep soils of the Loess Plateau: Impact of different land use types by Peiyuan Chen, Jinzhu Ma, Xiaobo Yue, Haitao Zeng, Chengyi Wang, Qingmei Huang, Ying Zhou, Li Zhang

“…In contrast, grasslands and woodlands maintain lower and stable nitrate levels (grasslands: 10–15 mg/L, woodlands: ∼5 mg/L) due to natural nitrogen fixation. Nitrate sources differ by land use. Apple orchards and shrublands are influenced by NH4+-fertilizers and soil nitrogen, while cornfields utilize both NH4+- and NO3–-fertilizers. …”
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Microwave-assisted extraction of essential oils from basil leaves (Ocimum basilicum L.) and coriander seeds (Coriandrum sativum L.): A comparative study on chemical composition, an... by G.M. Masud Rana, Subarna Sandhani Dey, Bijoy Chandra Ghos, Md. Jasim Uddin, Tahmina Akter Chowdhury, Md. Tariqul Islam, Toufikur Rahman, Md. Jobayear Hossain, Jaytirmoy Barmon, Mst. Sarmina Yeasmin

“…Essential oils (EOs), known for their aromatic and bioactive properties, are widely utilized in the cosmetic and food industries. Microwave-assisted extraction (MAE) has emerged as a green, efficient and rapid technique for extracting EOs from plant sources. …”
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Introducing the dataset for measuring centrality for sustainability—A case study of Pecinci municipality, SerbiaMendeley DataMendeley Data by Tatjana Mrđenović

“…With the increasing urbanization and expansion of central activities in municipalities, understanding centrality is crucial for ensuring sustainable growth and development. By utilizing the framework presented in this study, policymakers, spatial and urban planners can make informed decisions, to prioritize the efficient allocation of resources and infrastructure to support central activities. …”
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Predicting the mechanical performance of industrial waste incorporated sustainable concrete using hybrid machine learning modeling and parametric analyses by Md. Alhaz Uddin, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, Md. Kanan Chowdhury Tilak, Ratan Lal, Md. Selim Reza, Fahad Alsharari, Mohamed AbdelMongy, Masuk Abdullah

“…A total of 441 data entries were sourced from various publications. Multiple machine learning techniques, such as light gradient boosting (LGB), extreme gradient boosting (XGB), and decision trees (DT), along with hybrid approaches like XGB-LGB and XGB-DT, were utilized to study how these variables influence compressive strength. …”
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UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data by Muhammad Zaheer Akhtar, Rashid Jahangir, QuratUl Ain, Muhammad Asif Nauman, Mueen Uddin, Syed Sajid Ullah

“…This comprehensive metadata index enables researchers and developers to efficiently access, organize, and utilize the UrduSER dataset. …”
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Western Asian and Northern African residential building stocks: archetype analysis by Sahin Akin, Aida Eghbali, Chibuikem Nwagwu, Edgar Hertwich

“…This study presents the first comprehensive analysis of residential building stocks in 19 countries across these Western Asia and Northern Africa (WANA), utilizing an archetype-based, bottom-up, stock-modeling approach. …”
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