A Novel Approach for Tomato Leaf Disease Classification with Deep Convolutional Neural Networks by Gizem Irmak, Ahmet Saygılı

“…The findings indicate that the CNN model consistently outperformed classical learning methods, achieving accuracy rates of 99.5%, 98.50%, and 97.0% for 2-class, 6-class, and 10-class classifications, respectively. …”
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MULTINATIONAL COMPANIES FOR BUSINESS INTERNATIONALIZATION THROUGH FOREIGN DIRECT INVESTMENT (FDI) IN GLOBALIZATION: TRENDS FOR VALUES by Anis BENABED

“…Multinational companies that go for foreign direct investment have an economic impact and can affect a country's economy in various ways, for example, in the balance of payments, in growth rates and in job creation. The effect of foreign direct investment by multinational companies can be negative or positive depending on certain factors. …”
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The role of the ventral striatum in the relationship between impulsive decision-making and emotional self-regulation by cognitive reappraisal by Youngwoo Bryan Yoon, Wi Hoon Jung

“…Our data revealed that greater use of cognitive reappraisal as an emotion regulation strategy was significantly associated with lower DD rates (i.e., reduced temporal impulsivity). No such relationship was found for expressive suppression. …”
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Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm by Pedro Torres-Bermeo, José Varela-Aldás, Kevin López-Eugenio, Nancy Velasco, Guillermo Palacios-Navarro

“…These estimated curves are integrated into a process that calculates technical losses, both no-load and load losses, for different transformer sizes, selecting the optimal rating that minimizes losses without compromising demand. …”
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Dramatic Decoupling Between Population and Construction Land in Rural China by Jiatong Han, Minghong Tan

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Regional variations in Mediterranean diet adherence: a sociodemographic and lifestyle analysis across Mediterranean and non-Mediterranean regions within the MEDIET4ALL project by Mohamed Ali Boujelbane, Mohamed Ali Boujelbane, Achraf Ammar, Achraf Ammar, Achraf Ammar, Atef Salem, Atef Salem, Mohamed Kerkeni, Mohamed Kerkeni, Khaled Trabelsi, Khaled Trabelsi, Bassem Bouaziz, Bassem Bouaziz, Liwa Masmoudi, Juliane Heydenreich, Christiana Schallhorn, Gabriel Müller, Ayse Merve Uyar, Hadeel Ali Ghazzawi, Adam Tawfiq Amawi, Bekir Erhan Orhan, Giuseppe Grosso, Osama Abdelkarim, Osama Abdelkarim, Tarak Driss, Kais El Abed, Kais El Abed, Piotr Zmijewski, Frédéric Debeaufort, Frédéric Debeaufort, Nasreddine Benbettaieb, Nasreddine Benbettaieb, Clément Poulain, Laura Reyes, Amparo Gamero, Marta Cuenca-Ortolá, Antonio Cilla, Nicola Francesca, Concetta Maria Messina, Enrico Viola, Björn Lorenzen, Stefania Filice, Aadil Bajoub, El-Mehdi Ajal, El-Mehdi Ajal, El Amine Ajal, Majdouline Obtel, Sadjia Lahiani, Taha Khaldi, Nafaa Souissi, Omar Boukhris, Omar Boukhris, Haitham Jahrami, Haitham Jahrami, Waqar Husain, Evelyn Frias-Toral, Evelyn Frias-Toral, Walid Mahdi, Walid Mahdi, Hamdi Chtourou, Wolfgang I. Schöllhorn

“…Sleep quality was poorer in MC (45% below recommended duration vs. 40% in NMC), while NMC reported higher insomnia rates. Mental health symptoms were comparable (33%–35% moderate depression/anxiety in both), reflecting post-pandemic global trends. …”
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Video-assisted surgery in the treatment of early corpus uteri cancer by T. M. Kochoyan, D. V. Komov, R. A. Kerimov, S. Yu. Sletina, A. V. Logachev

“…Overall and relapse-free survival rates were comparable in the two groups and did not depend on the technique of surgical intervention.…”
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LLM based expert AI agent for mission operation management by Sobhana Mummaneni, Syama Sameera Gudipati, Satwik Panda

“…AI offers opportunities to reduce mission costs, improve success rates, and enhance the efficiency of space exploration programs. …”
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Group attention for collaborative filtering with sequential feedback and context aware attributes by Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami

“…However, due to individual variations in rating patterns and dynamic interplays of item attributes, it becomes challenging to model user preferences accurately. …”
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Presentation time shapes perceived room size in visual and auditory modalities by Johanna Bogon, Cindy Jagorska, Ella Maria Heinz, Martin Riemer

“…As time judgments were consistently rated as more difficult relative to space judgments, this pattern of interference cannot be explained on the basis of task difficulty. …”
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Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…As a result, we present а unique machine learning-based nursing value analysis and risk assessment framework in this research to construct a model to evaluate the risk of hospital-based interventions or mortality in individuals with GIB and make a comparison to that of other rating systems. Initially, the dataset is collected, and preprocessing is done. …”
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Color characteristics and psychological healing effects in Rokuon-ji Temple Garden: a quantitative analysis by Jinyang Wang, Yoichi Kunii

“…From an initial collection of 150 photographs documenting the garden’s complete visitor experience, 42 landscape photographs were systematically selected based on healing quality ratings (mean ≥5.0, median ≥5.0, standard deviation <1.2) and analyzed for six color categories (red, yellow, brown, gray, white, green) using three quantitative metrics: fractal dimension, diversity index, and concentration index. …”
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Socio-Demographic Factors and Health-Oriented Behaviors of University Students in the Podkarpackie Region. Long-Term Prospective Research by Paweł Więch, Dariusz Bazaliński, Zdzisława Chmiel, Józef Ratajczyk, Paweł Januszewicz, Monika Binkowska-Bury

“…It was conducted in 2009 and repeated two years later. The rating of the behavior patterns of students was conducted in accordance with the following schedule: October 2009 – January 2010 (T1), October 2011 – January 2012 (T2). …”
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Perception of quality and adoption of health-preventive measures in gym-goers after the COVID-19 pandemic peak in Italy by L Falese, E Langiano, M Ferrara, P Diotaiuti, A Rodio, T Di Libero, A Andrade, E De Vito

“…Participants generally rated the gym positively, with 34.49% considering it "Good" and 39.23% rating it "Very good." …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…These IMFs are individually forecasted using Bidirectional Gated Recurrent Unit (BiGRU) models, which are capable of learning sequential patterns in both temporal directions. …”
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Memory-augment graph transformer based unsupervised detection model for identifying performance anomalies in highly-dynamic cloud environments by Huangyining Gao, Ruyue Xin, Peng Chen, Xi Li, Ning Lu, Peng You

“…Additionally, we introduce a novel dynamic gated memory module to guide the Transformer encoder in extracting hidden features, thereby enhancing the model’s robustness to varying data patterns in dynamic cloud environments. …”
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Younger Age Is an Independent Predictor for Poor Survival in Patients with Signet Ring Prostate Carcinoma by Jue Wang, Fen Wei Wang, George P. Hemstreet

“…The 1-, 3-, and 5-year cancer-specific survival rates were 94.6%, 89.6%, and 83.8%, respectively. …”
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Multi-scale spatio-temporal graph neural network for urban traffic flow prediction by Hui Chen, Jian Huang, Yong Lu, Jijie Huang

“…On the four datasets, the average improvement rates of the three prediction accuracy metrics, namely the Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE), reach 17.69%, 15.65%, and 10.30% respectively.…”
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The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization by Feng Xu, Zhiyong Li, Bo Wen, Youhui Huang, Yaojun Wang

“…Conventional pattern recognition methods directly use 1D poststack data or 2D prestack data for the statistical pattern recognition of fault and fracture network, thereby ignoring the spatial structure information in 3D seismic data. …”
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Prevalence of Moraxella Catarrhalis as a Nasal Flora among Healthy Kindergarten Children in Bhaktapur, Nepal by Neetu Amatya, Govinda Paudel, Bhuvan Saud, Sunita Wagle, Vikram Shrestha, Bibhav Adhikari

“…Using bivariate and multivariate analysis, the associated risk factors with significantly high carriage rates were age group of 3–4 years, classroom occupancy with 15–30 children, and antibiotic consumption within 6 months, with a p value of ≤0.05 in each of the cases. …”
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