Carbon stock dynamics of forest to oil palm plantation conversion for ecosystem rehabilitation planning by D. Frianto, E. Sutrisno, A. Wahyudi, E. Novriyanti, W.C. Adinugroho, A.S. Yunianto, H. Kurniawan, H. Khotimah, A. Windyoningrum, I.W.S. Dharmawan, H.L. Tata, S. Suharti, H.H. Rachmat, E.M. Lim

“…Data analysis was carried out using Classification and Regression Tree, a decision tree algorithm used in machine learning for guided classification. Furthermore, purposive sampling was utilized to gather socioeconomic data, followed by the implementation of a benefit-cost analysis.FINDINGS: The results revealed significant changes in the land cover within the Kepau Jaya specific purpose forest area over a 24-year period, with forested areas and open areas decreasing by 23.15 hectares per year and 16.94 hectares per year respectively, and oil palm plantation areas expanding by 40.10 hectares per year. …”
Get full text

A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测) by 崔丽莎(CUI Lisha), 代润鹏(DAI Runpeng), 姜晓恒(JIANG Xiaoheng), 李飞蝶(LI Feidie), 陈恩庆(CHEN Enqing), 徐明亮(XU Mingliang)

“…Despite rapid advancements in artificial intelligence in the field of visual inspection, developing machine vision learning based on biological visual cognition remains a challenging issue requiring in-depth research. …”
Get full text

A China dataset of soil properties for land surface modelling (version 2, CSDLv2) by G. Shi, W. Sun, W. Shangguan, Z. Wei, H. Yuan, L. Li, X. Sun, Y. Zhang, H. Liang, D. Li, F. Huang, Q. Li, Q. Li, Y. Dai

“…Using advanced ensemble machine learning and a high-performance parallel-computing strategy, we developed comprehensive maps of 23 soil physical and chemical properties at six standard depth layers from 0 to 2 m in China at a 90 m spatial resolution (China dataset of soil properties for land surface modelling version 2, CSDLv2). …”
Get full text

Proteomic profiling of the local and systemic immune response to pediatric respiratory viral infections by Emily Lydon, Christina M. Osborne, Brandie D. Wagner, Lilliam Ambroggio, J. Kirk Harris, Ron Reeder, Todd C. Carpenter, Aline B. Maddux, Matthew K. Leroue, Nadir Yehya, Joseph L. DeRisi, Mark W. Hall, Athena F. Zuppa, Joseph Carcillo, Kathleen Meert, Anil Sapru, Murray M. Pollack, Patrick McQuillen, Daniel A. Notterman, Charles R. Langelier, Peter M. Mourani

“…From tracheal aspirate (TA), we defined a proteomic signature of vLRTI characterized by increased expression of interferon signaling proteins and decreased expression of proteins involved in immune modulation including FABP and MIP-5. Using machine learning, we developed a parsimonious diagnostic classifier that distinguished vLRTI from non-infectious respiratory failure with high accuracy. …”
Get full text

Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: Insights for enhancing breeding programs and herd management by Alessio Cecchinato, Hugo Toledo-Alvarado, Lucio Flavio Macedo Mota, Vittoria Bisutti, Erminio Trevisi, Riccardo Negrini, Sara Pegolo, Stefano Schiavon, Luigi Gallo, Giovanni Bittante, Diana Giannuzzi

“…The blood metabolites (15 blood biomarkers related to hepatic damage and function, oxidative stress, inflammation, and innate immunity) were predicted using milk Fourier-transform mid-infrared (MIR) spectroscopy. A gradient boosting machine approach with leave-one-batch-out cross-validation (R2 range from 0.45 to 0.82) was implemented to an independent calibration database of 1,367 lactating cows reared in 5 herds. …”
Get full text

Vegetable Crop Growth Modeling in Digital Twin Platform Based on Large Language Model Inference by ZHAO Chunjiang, LI Jingchen, WU Huarui, YANG Yusen

“…These metrics significantly outperform traditional machine learning approaches, including long short-term memory (LSTM), XGBoost, and LightGBM models. …”
Get full text

Contact Analysis for Beveloid Pinion and Rack Considering Axial Clearance Change by Huang Hongxin, Zhao Xingfu, Wang Zengqiang, Yu Guangbin

“…Aiming at the problems that clearance is difficult to modify and operation stability is poor of pinion and rack used in the large machine tool carrier feeding device，the beveloid pinion and rack which can modify clearance axially is proposed.The finite element analysis of the changes of variables such as static transmission error，uniform degree of contact stress，contact force are carried out when considering axial clearance changes.The results show that the influences of axial clearance changes to variables depend on torques directly，the influences when torque is 50 N<inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M5"><mo>∙</mo></math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/931788f2-2a25-4c50-a1c8-d8848a15114f-M005.jpg"><?…”
Get full text

Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces by Yutong JI, Tianyi LIN, Lian LIU, Xiong LI

“…Additionally, leveraging human-machine collaboration through intelligent workflows can further enhance decision-making by combining real-time data analysis with human expertise. …”
Get full text

Higher education students' perceptions of ChatGPT: A global study of early reactions. by Dejan Ravšelj, Damijana Keržič, Nina Tomaževič, Lan Umek, Nejc Brezovar, Noorminshah A Iahad, Ali Abdulla Abdulla, Anait Akopyan, Magdalena Waleska Aldana Segura, Jehan AlHumaid, Mohamed Farouk Allam, Maria Alló, Raphael Papa Kweku Andoh, Octavian Andronic, Yarhands Dissou Arthur, Fatih Aydın, Amira Badran, Roxana Balbontín-Alvarado, Helmi Ben Saad, Andrea Bencsik, Isaac Benning, Adrian Besimi, Denilson da Silva Bezerra, Chiara Buizza, Roberto Burro, Anthony Bwalya, Cristina Cachero, Patricia Castillo-Briceno, Harold Castro, Ching Sing Chai, Constadina Charalambous, Thomas K F Chiu, Otilia Clipa, Ruggero Colombari, Luis José H Corral Escobedo, Elísio Costa, Radu George Crețulescu, Marta Crispino, Nicola Cucari, Fergus Dalton, Meva Demir Kaya, Ivo Dumić-Čule, Diena Dwidienawati, Ryan Ebardo, Daniel Lawer Egbenya, MoezAlIslam Ezzat Faris, Miroslav Fečko, Paulo Ferrinho, Adrian Florea, Chun Yuen Fong, Zoë Francis, Alberto Ghilardi, Belinka González-Fernández, Daniela Hau, Md Shamim Hossain, Theo Hug, Fany Inasius, Maryam Jaffar Ismail, Hatidža Jahić, Morrison Omokiniovo Jessa, Marika Kapanadze, Sujita Kumar Kar, Elham Talib Kateeb, Feridun Kaya, Hanaa Ouda Khadri, Masao Kikuchi, Vitaliy Mykolayovych Kobets, Katerina Metodieva Kostova, Evita Krasmane, Jesus Lau, Wai Him Crystal Law, Florin Lazăr, Lejla Lazović-Pita, Vivian Wing Yan Lee, Jingtai Li, Diego Vinicio López-Aguilar, Adrian Luca, Ruth Garcia Luciano, Juan D Machin-Mastromatteo, Marwa Madi, Alexandre Lourenço Manguele, Rubén Francisco Manrique, Thumah Mapulanga, Frederic Marimon, Galia Ilieva Marinova, Marta Mas-Machuca, Oliva Mejía-Rodríguez, Maria Meletiou-Mavrotheris, Silvia Mariela Méndez-Prado, José Manuel Meza-Cano, Evija Mirķe, Alpana Mishra, Ondrej Mital, Cristina Mollica, Daniel Ionel Morariu, Natalia Mospan, Angel Mukuka, Silvana Guadalupe Navarro Jiménez, Irena Nikaj, Maria Mihaylova Nisheva, Efi Nisiforou, Joseph Njiku, Singhanat Nomnian, Lulzime Nuredini-Mehmedi, Ernest Nyamekye, Alka Obadić, Abdelmohsen Hamed Okela, Dorit Olenik-Shemesh, Izabela Ostoj, Kevin Javier Peralta-Rizzo, Almir Peštek, Amila Pilav-Velić, Dilma Rosanda Miranda Pires, Eyal Rabin, Daniela Raccanello, Agustine Ramie, Md Mamun Ur Rashid, Robert A P Reuter, Valentina Reyes, Ana Sofia Rodrigues, Paul Rodway, Silvia Ručinská, Shorena Sadzaglishvili, Ashraf Atta M S Salem, Gordana Savić, Astrid Schepman, Samia Mokhtar Shahpo, Abdelmajid Snouber, Emma Soler, Bengi Sonyel, Eliza Stefanova, Anna Stone, Artur Strzelecki, Tetsuji Tanaka, Carolina Tapia Cortes, Andrea Teira-Fachado, Henri Tilga, Jelena Titko, Maryna Tolmach, Dedi Turmudi, Laura Varela-Candamio, Ioanna Vekiri, Giada Vicentini, Erisher Woyo, Özlem Yorulmaz, Said A S Yunus, Ana-Maria Zamfir, Munyaradzi Zhou, Aleksander Aristovnik

Get full text

Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment by Fernando Marmolejo-Ramos, Rebecca Marrone, Malgorzata Korolkiewicz, Florence Gabriel, George Siemens, Srecko Joksimovic, Yuki Yamada, Yuki Mori, Talal Rahwan, Maria Sahakyan, Belona Sonna, Assylbek Meirmanov, Aidos Bolatov, Bidisha Som, Izuchukwu Ndukaihe, Nwadiogo C. Arinze, Josef Kundrát, Lenka Skanderová, Van-Giang Ngo, Giang Nguyen, Michelle Lacia, Chun-Chia Kung, Meiselina Irmayanti, Meiselina Irmayanti, Abdul Muktadir, Fransiska Timoria Samosir, Marco Tullio Liuzza, Roberto Giorgini, Omid Khatin-Zadeh, Hassan Banaruee, Asil Ali Özdoğru, Kris Ariyabuddhiphongs, Wachirawit Rakchai, Natalia Trujillo, Stella Maris Valencia, Armina Janyan, Armina Janyan, Kiril Kostov, Pedro R. Montoro, Jose Hinojosa, Jose Hinojosa, Kelsey Medeiros, Thomas E. Hunt, Julian Posada, Raquel Meister Ko Freitag, Julian Tejada

Get full text

Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks by M. Reuter, M. Hilker, S. Noël, A. Di Noia, M. Weimer, O. Schneising, M. Buchwitz, H. Bovensmann, J. P. Burrows, H. Bösch, R. Lang

“…Conventional so-called full-physics algorithms for retrieving XCO<span class="inline-formula">₂</span> and/or XCH<span class="inline-formula">₄</span> from satellite-based measurements of reflected solar radiation are typically computationally intensive and still usually require empirical bias corrections based on supervised machine learning methods. Here we present the retrieval algorithm Neural networks for Remote sensing of Greenhouse gases from CO2M (NRG-CO2M), which derives XCO<span class="inline-formula">₂</span> and XCH<span class="inline-formula">₄</span> from CO2M radiance measurements with minimal computational effort using artificial neural networks (ANNs). …”
Get full text

Designing a model to improve the behavior of Iranian handicrafts e-commerce customers by increasing customer trust by mohsen seidi, Fataneh Alizadeh Meshkani, Ahmad Sardari, Abdullah Naami

“…In each unit, the artistic taste and intellectual creativity of the manufacturer are manifested in some way, and this factor is the main distinguishing feature of such products from similar machine and factory artifacts (Kazemi, 2019). Zolfaghar Dolabi (2023) investigated the factors affecting customer loyalty and electronic trust in electronic commerce in Tehran Infrastructure Company. …”
Get full text

Presenting the evaluation model of financial technology policies in National Bank of Iran by Vahid moradi, changiz mohammadi zadeh, ali farhadi mahali

“…The banking industry can benefit from incorporating emerging technologies such as blockchain, artificial intelligence, learning machine or other decision-making layers. However, with the advantages come disadvantages such as increased reliance on technology, high costs, increased job losses, data security risks and fraud, etc. …”
Get full text

Development and Evaluation of an AI-based Exergame Training System for Ice-Hockey Players: a Randomized Controlled Trial by Nicole Sieber, Simon Walser, Thomas Weber, Raphael Gubler, Hannes Badertscher, Patrick Eggenberger

“…Artificial intelligence (i.e., machine learning) was applied to train and validate algorithms to accurately detect joint positions of the human body based on large open-source training and validation data sets. …”
Get full text