Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging by Eun Young Choi, Joon Yul Choi, Tae Keun Yoo

“…The performance of the ChatGPT-4 developed models was comparable to those created using various machine-learning tools. Conclusion By utilizing ChatGPT-4 with code-free prompts, we overcame the technical barriers associated with using coding skills for developing prediction models, making it feasible to build a risk calculator for DR and DME prediction. …”
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Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…Furthermore, machine learning algorithms can be employed to analyze complex datasets, enhancing our ability to predict the impacts of MPs on plant health and crop performance under different environmental conditions. …”
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Assessing the Impact of Traffic Emissions on Fine Particulate Matter and Carbon Monoxide Levels in Hanoi through COVID-19 Social Distancing Periods by Nhung H. Le, Bich-Thuy Ly, Phong K. Thai, Gia-Huy Pham, Ich-Hung Ngo, Van-Nguyet Do, Thuy T. Le, Luan V. Nhu, Ha Dang Son, Yen-Lien T. Nguyen, Duong H. Pham, Tuan V. Vu

“…To overcome this challenge, weather normalized concentrations of those pollutants were estimated using the random forest model, a machine learning technique. The normalized weather concentrations showed smaller reductions by 7–10% for PM2.5 and 5–11% for CO, indicating the presence of favorable weather conditions for better air quality during the social distancing period. …”
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Diagnostic accuracy of artificial intelligence algorithms to predict remove all macroscopic disease and survival rate after complete surgical cytoreduction in patients with ovarian... by Somayyeh Noei Teymoordash, Hoda Zendehdel, Ali Reza Norouzi, Mahdis Kashian

“…Most studies agree that Artificial Neural Networks (ANN) and Machine Learning (ML) models outperform conventional statistics in predicting postoperative outcomes.…”
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11 Key Strategies in Using AI Chat GPT to Develop HOTS-Based Entrepreneurship Questionnaires by Almaida Vebibina, Rusijono Rusijono, Andi Mariono, Ahsan Muafa, Dydik Kurniawan, Ragil Sugeng Dewantoro, Dian Noer Asyari, Sussi Widiastuti, Jarot Suseno

“…This research is proposed based on the background of various obstacles in the use of Chat GPT to develop an effective questionnaire that meets the learning objectives. To bridge the gap, this study explores the potential of Chat GPT in crafting assessment questions that focus on higher-order thinking by utilizing existing strategies to enhance critical, analytical, creative and problem-solving thinking in entrepreneurship education. …”
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A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers by Mingzhi Huang, Di Tian, Hongbin Liu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong, Guangguo Ying

“…A self-adapted fuzzy c-means clustering was used to determine the number of fuzzy rules. A hybrid learning algorithm based on a genetic algorithm and gradient descent algorithm was employed to optimize the network parameters. …”
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In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device by Mengyang Zhang, Hongbo Fu, Huadong Wang, Feifan Shi, Saifullah Jamali, Zongling Ding, Bian Wu, Zhirong Zhang

“…This device built upon a previous multi-directional optimization scheme and integrated machine learning to classify seven types of original rock samples: mudstone, basalt, dolomite, sandstone, conglomerate, gypsolyte, and shale from oil logging sites. …”
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DEVELOPMENT OF CLIP THINKING OF HIGHER EDUCATION STUDENTS IN INFORMATION ENVIRONMENT by Sergey Bushuyev, Halyna Korchova, Yurii Krasylnyk, Mykola Rudenko, Borys Kozyr

“….), ensuring an individual approach to the organization of educational and cognitive activities, taking into account the motives, needs and opportunities of higher education seekers, the variability of the selection of IT learning technologies and their combination. …”
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Aspectos de la gramatización antigua de la lengua vasca by Aurélie Arcocha-Scarcia, Joseba Andoni Lakarra

“…In §3 we address aspects of the grammatization of RS, contrasting it with Garibay and other old testimonies: in 3.1 we analyse the size of RS and the "direction" of the translation (Basque/Spanish); in 3.2 we examine certain very marked spellings of RS within the Basque text tradition ( and apical affricate sibilant), related more to the French than the Hispanic tradition; in 3.3 we demonstrate that Mares and not Porralis was the true publisher of the RS and in 3.4 that, in reality, this work was above all a teaching / learning instrument for languages (partic. Basque), a function demonstrated by its singular structure with numbers over each word (§3.5) and in §3.6 we include a coda about the origins of RS incuding the role of Mares is included. …”
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Enhancing antimicrobial resistance strategies: Leveraging artificial intelligence for improved outcomes by Aeshah M. Mohammed, Mohammed Mohammed, Jawad K. Oleiwi, Azlin F. Osman, Tijjani Adam, Bashir O. Betar, Subash C.B. Gopinath, Falah H. Ihmedee

“…By synthesizing current research and applications, the potential of AI-driven technologies—ranging from machine learning models that predict resistance patterns to algorithms enhancing antibiotic discovery—is illuminated to augment our arsenal against AMR. …”
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Risk prediction models for dysphagia after radiotherapy among patients with head and neck cancer: a systematic review and meta-analysis by You Pu, Jin Yang, Lian Shui, Qianlong Tang, Xianqin Zhang, Guangguo Liu

“…Of these models, most were constructed based on logistic regression, while only two studies used machine learning methods. The area under the receiver operating characteristic curve (AUC) reported values for these models ranged from 0.57 to 0.909, with 13 studies having a combined AUC value of 0.78 (95% CI: 0.74-0.81). …”
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PEDAGOGICAL CONTENT THREE-FACTOR MODEL OF EDUCATING HIGH-SCHOOL STUDENTS FOR PROFESSIONAL ACTIVITIES by T. A. Lopatukhina, A. V. Rynkevich

“…In the long run, in the author’s opinion, this system should succeed in creating some special platform for student’s further self-upbringing and self-learning. The model described in the paper is considered on the example of the discipline «A foreign language in the professional sphere». …”
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Impact of training dairy farm personnel on milking routine compliance, udder health, and milk quality by Zelmar Rodriguez, Mario Lopez-Benavides, Marianna B. Gentilini, Pamela L. Ruegg

“…The training session was delivered using an active learning approach prioritizing group discussions, and focused on the pathogenesis, identification, and risk factors for mastitis, as well as the rationale and importance of each step in the milking routine. …”
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Early Detection of Multiwavelength Blazar Variability by Hermann Stolte, Jonas Sinapius, Iftach Sadeh, Elisa Pueschel, Matthias Weidlich, David Berge

“…For this purpose, we have developed a novel deep learning analysis framework, based on data-driven anomaly detection techniques. …”
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Health profession students’ perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study by Lior Moskovich, Violetta Rozani

“…The findings highlight benefits such as serving as a convenient tool for accessing information, reducing human errors, and fostering innovative learning approaches. However, they also underscore areas of concern, including ethical considerations, challenges in fostering critical thinking, and issues related to verification. …”
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The adolescent Internet Adaptability Scale: Development and psychometric properties by Weijun Wang, Jianmei Ye, Rouchun Dong, Shihao Ma, Dawei Huang, Xin Zhao

“…The AIAS, comprising eight dimensions—Internet curiosity, Internet self-efficacy, Internet learning ability, Internet socialization ability, Internet information search ability, Internet information protection ability, Internet self-control ability, and Internet positive coping ability—demonstrates strong reliability and validity. …”
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Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension by Claire M. Owen, Jaume Bacardit, Maw P. Tan, Nor I. Saedon, Choon‐Hian Goh, Julia L. Newton, James Frith

“…Given the richness of non‐invasive beat‐to‐beat data, artificial intelligence (AI) offers a solution to detect the subtle patterns within it. Applying machine learning to an existing dataset of community‐based adults undergoing postural assessment, we identified three distinct clusters (iOHYPO, OHYPO and OHYPER) akin to initial and classic orthostatic hypotension and orthostatic hypertension, respectively. …”
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LipBengal: Pioneering Bengali lip-reading dataset for pronunciation mapping through lip gesturesHugging Face by Md. Tanvir Rahman Sahed, Md. Tanjil Islam Aronno, Hussain Nyeem, Md. Abdul Wahed, Tashrif Ahsan, R Rafiul Islam, Tareque Bashar Ovi, Manab Kumar Kundu, Jane Alam Sadeef

“…Captured under diverse and uncontrolled conditions, LipBengal stands as the most extensive Bengali lip-reading dataset to date, designed to facilitate robust benchmarking and validation of novel deep learning architectures. Detailed annotations extend from phoneme- level classifications to full sentence constructions, providing a granular and comprehensive dataset. …”
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A Digital-based Talent Acquisition Framework for Start-ups: A Qualitative Multiple Case Study by Mohammad Hosein Kenarroodi, Hasan Boudlaie

“…The final stage of research coding identified ten key themes for talent acquisition in startups, including: taking an aggressive approach to talent acquisition, creating a strong employer brand, managing relationships with talents, identifying risks in talent selection, designing selection criteria and methods, determining selection quality, setting onboarding timelines, and developing learning methods and content for onboarding.     Conclusion Drawing from the identified themes, this study proposes three digitalization-driven strategies to enhance talent acquisition in startups: talent recruitment, talent selection, and onboarding processes. …”
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SFMHANet: Surface Fitting Constrained Multidimensional Hybrid Attention Network for Aero-Optics Thermal Radiation Effect Correction by Yu Shi, ShanLin Niu, Lei Wang, Liang Ye, YaoZong Zhang, HanYu Hong

“…In order to handle multiple types of aero-optics thermal radiation effects effectively and to combine the advantages of image prior constraints and deep learning networks, we propose a surface fitting constrained multidimensional hybrid attention aero-optics thermal radiation correction network (SFMHANet) in this article. …”
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