Analysis of young students' perception of loneliness: a cross-sectional study by Rogelio Hernández-Díaz, Rogelio Hernández-Díaz, Lucas Navarro-Vásquez, Alejandra Aguilar-Latorre, Alejandra Aguilar-Latorre, Alejandra Aguilar-Latorre, Fátima Méndez-López, Fátima Méndez-López, Fátima Méndez-López, Santiago Gascón-Santos, Santiago Gascón-Santos, Santiago Gascón-Santos, Rosa Magallón-Botaya, Rosa Magallón-Botaya, Rosa Magallón-Botaya

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From seed to profit: a comparative economic study of two Italian vertical farms by Alessandro Sebastian Amici, Diego Appicciutoli, Deborah Bentivoglio, Giacomo Staffolani, Giulia Chiaraluce, Mattia Mogetta, Adele Finco

“…The study aims to estimate the financial sustainability of this class of farming systems, by classifying the most impacting costs for this sector, and if they are suitable in the Italian territory.MethodsThe study is performed by comparing key performance indicators of two vertical farms in the North of Italy. …”
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AI-Driven Solutions for Early Detection of Plant Diseases by Saha Laboni, Lalmawipuii R.

“…Plant diseases have a major negative impact on crop yield and quality, making the agricultural sector concerned. Traditionally, plant disease detection is quite laborious and time consuming. …”
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Recreational angler and stakeholder perceptions of policy changes to recreational fishery management: the case of red snapper devolution in the Gulf of Mexico by Thomas G Moorman, Daniel Morris, Steven B Scyphers, Ryan D. Williamson, Kelly H Dunning

“…Our thematic analysis found that 40% of comments supported devolved state management, 3% opposed it, and 57% could not be classified because the comment did not explicitly state support or opposition. …”
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Investigation of illicit pregabalin in seized samples from Saudi Arabia by Fatimah M. Alamri, Fatimah M. Alamri, Sultan K. Alshmmari, Monerah A. Altamimy, Ibrahim A. Al Othaim, Yahya M. Alshehri, Rayed M. Alafraa, Ahmed D. Almalki, Turki A. Alkhalifah, Taher Sahlabji, Abubakr M. Idris, Abubakr M. Idris, Haitham Al-Hamoud, Yahya F. Jamous, Fahad S. Aldawasri

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Can Different Cultivars of <i>Panicum maximum</i> Be Identified Using a VIS/NIR Sensor and Machine Learning? by Gelson dos Santos Difante, Gabriela Oliveira de Aquino Monteiro, Juliana Caroline Santos Santana, Néstor Eduardo Villamizar Frontado, Jéssica Gomes Rodrigues, Aryadne Rhoana Dias Chaves, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, Luis Carlos Vinhas Ítavo, Fabio Henrique Rojo Baio, Gabriela Souza Oliveira, Carlos Antonio da Silva Junior, Vanessa Zirondi Longhini, Alexandre Menezes Dias, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro

“…The experiment was carried out at the experimental area of the Forage Sector of the School Farm belonging to the Federal University of Mato Grosso do Sul (UFMS). …”
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Divergent impact of green and non-green technological innovations on the dynamics between renewable energy, economic growth, and the environment by Jenifer Rajkumar, Chitra Devi Nagarajan

“…In developing countries, however, non-green technological innovation, when allied with renewable energy, supports economic growth and curtails emissions. In contrast, the presence of green technological innovation hampers growth and exacerbates emissions. …”
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UNVEILING FINANCIAL CRISIS DRIVERS AND PROPOSING A SUSTAINABILITY MODEL IN THE HOTEL INDUSTRY by FATEMEH DEKAMINI, ABBAS DASTANPOUR HOSSEIN ABADI, SHIMA SAFAR MOHAMMADLUO, REZVAN POURMANSOURI, RAMONA BIRAU, ROBERT DORIN FILIP, STEFAN MARGARITESCU

“…This study aims to classify the factors contributing to financial crises in the hotel industry, structured according to the stages of crisis management. …”
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More sustainable choices in the workplace: a systematic review of nudge theory applications by Giulia De Paolis, Lorenza Tiberio, Federica Caffaro

“…Most studies are based in high-income Western countries, particularly within the tertiary sector. A clear heterogeneity emerged in how nudging is defined, with only half of the studies explicitly referencing Thaler and Sunstein’s classical framework. …”
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Veterinarians’ perspectives on livestock diseases and antimicrobial use in Palestine by Ibrahim M. Alzuheir

“…Background and Aim: The livestock sector is a crucial component of Palestine’s agricultural economy, supporting food security and rural livelihoods. …”
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Comprehensive Assessment of Slovakian Hospitals Using Financial and Non-Financial Criteria in the COVID-19 Context by Sylvia Jenčová, Petra Vašaničová, Marta Miškufová

“…The research sample comprises a group of hospitals classified under the sector (SK) NACE 86.1—Hospital activities. …”
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Organising general practice for care homes: a multi-method study by Barbara Hanratty, Rachel Stocker, David Sinclair, Katie Brittain, Karen Spilsbury, Daniel Stow, Louise Robinson, Fiona E Matthews

“…Some had no direct experience of this sector. Others were current or former care home staff, local authority, NHS or third-sector employees. …”
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Sustainability of Recycling Waste Ceramic Tiles in the Green Concrete Industry: A Comprehensive Review by Ghasan Fahim Huseien, Zahraa Hussein Joudah, Mohammad Hajmohammadian Baghban, Nur Hafizah A. Khalid, Iman Faridmehr, Kaijun Dong, Yuping Li, Xiaobin Gu

“…Ceramic tiles classified as non-biodegradable are made from fired clay, silica, and other natural materials for several construction applications. …”
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Identifying Factors Affecting Self-Development of Iranian TV School Teachers: Report of A Qualitative Study by abbas mohammadi, maede arshadrad

“…Research Methodology In terms of purpose, this research is classified as applicable research with a developmental approach, and in terms of data collection methodology, it is qualitative-phenomenological. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Operational risk data were collected, pre-processed, and then used for predictions with machine learning models, including Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), Logistic Regression (LR), Naïve Bayes (NB), and k-Nearest Neighbors (KNN). …”
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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…A feature importance study is conducted using a decision tree algorithm, which selects only the most significant features to reduce computational complexity.ResultFeature classification is then performed using various machine learning and deep learning algorithms, including Support Vector Machines (SVM), Multi-Layer Perceptron (MLP), Cascade Correlation, GMDH Polynomial Neural Networks, and Linear Discriminant Analysis Among these classifiers, Probabilistic Neural Networks (PNN) consistently deliver the best results as 91.25% under 1,400 rpm.DiscussionBased on these findings, the Probabilistic Neural Network algorithm is identified as a robust and reliable prediction model for monitoring FSW tool conditions.…”
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The Characteristics and Consequences of Serial Sex Offenders’ Actions: the Example of Ukraine by Liana Spytska

“…The consequences of these crimes for victims and the society are profound, underscoring the necessity for a multi-faceted approach to prevention, including education, psychological support, and enhanced cooperation between various societal sectors. …”
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Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM by Pawanjit Singh Ghatora, Seyed Ebrahim Hosseini, Shahbaz Pervez, Muhammad Javed Iqbal, Nabil Shaukat

“…In this research, we applied machine learning-based classifiers, i.e., Random Forest, Naive Bayes, and Support Vector Machine, alongside the GPT-4 model to benchmark their effectiveness for sentiment analysis. …”
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Explaining the Impact of Green Organizational Culture and Green Human Resource Management Practices on Employees' Environmental Performance with the Mediating Role of Green Innovat... by Sara Mohammadi, Farajallah Rahimi, Mahdie Dastin

“…Introduction: In recent decades, concern for the natural environment has become a critical global issue. The industrial sector, as a key and significant component of the country's economic cycle, has not been immune to the growing social and institutional pressures related to environmental issues. …”
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Innovative Flood Impact Monitoring and Harvest Analysis in Oil Palm Plantations Utilizing Geographic Information Systems and Deep Learning by Supattra Puttinaovarat, Supaporn Chai-Arayalert, Wanida Saetang, Kanit Khaimook, Sasikarn Plaiklang, Paramate Horkaew

“…Among the most severely affected agricultural sectors are oil palm plantations, which regularly experience such disruptions annually. …”
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