Improving catalysts and operating conditions using machine learning in Fischer-Tropsch synthesis of jet fuels (C8-C16) by Parisa Shafiee, Bogdan Dorneanu, Harvey Arellano-Garcia

“…Moreover, various machine-learning models (Random Forest (RF), Gradient Boosted, CatBoost, and artificial neural networks (ANN)) were evaluated to predict CO conversion and C8-C16 selectivity. …”
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Integrating spatial clustering and multi-source geospatial data for comprehensive geological hazard modeling in Hunan Province by Weifeng Xiao, Ziyuan Zhou, Bozhi Ren, Xinping Deng

“…Importantly, the relationships between these key factors and GI exhibit spatial variability, as evidenced by the random intercept and slope models, highlighting the need for customized mitigation strategies. …”
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Bidirectional association between breast cancer and dementia: a systematic review and meta-analysis of observational studies by Fuxing Bao, Liang Yu, Xiaolei Zhang, Qier Mu

“…Statistical analysis was performed using Stata version 14.0, with a random effects model employed to account for heterogeneity. …”
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Traditional guidance mechanism based deep robust watermarking by Xuejing GUO, Yixiang FANG, Yi ZHAO, Tianzhu ZHANG, Wenchao ZENG, Junxiang WANG

“…With the development of network and multimedia technology, multimedia data has gradually become a key source of information for people, making digital media the primary battlefield for copyright protection and anti-counterfeit traceability.Digital watermarking techniques have been widely studied and recognized as important tools for copyright protection.However, the robustness of conventional digital watermarking methods is limited as sensitive digital media can easily be affected by noise and external interference during transmission.Then the existing powerful digital watermarking technology’s comprehensive resistance to all forms of attacks must be enhanced.Moreover, the conventional robust digital watermarking algorithm’s generalizability across a variety of image types is limited due to its embedding method.Deep learning has been widely used in the development of robust digital watermarking systems due to its self-learning abilities.However, current initialization techniques based on deep neural networks rely on random parameters and features, resulting in low-quality model generation, lengthy training times, and potential convergence issues.To address these challenges, a deep robust digital watermarking algorithm based on a traditional bootstrapping mechanism was proposed.It combined the benefits of both traditional digital watermarking techniques and deep neural networks, taking into account their learning abilities and robust characteristics.The algorithm used the classic robust digital watermarking algorithm to make watermarked photos, and the constructed feature guaranteed the resilience of traditional watermarked images.The final dense image was produced by fusing the conventionally watermarked image with the deep network using the U-Net structure.The testing results demonstrate that the technique can increase the stego image’s resistance to various attacks and provide superior visual quality compared to the conventional algorithm.…”
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Secure User Authentication With Information Theoretic Security Using Secret Sharing-Based Secure Computation by Keiichi Iwamura, Ahmad Akmal Aminuddin Mohd Kamal

“…Subsequently, it is demonstrated that secure communication with information-theoretic security can be achieved without the need to distribute a substantial number of true random numbers by employing secure computation based on <inline-formula> <tex-math notation="LaTeX">$(k,n)$ </tex-math></inline-formula>-threshold secret sharing. …”
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The Effectiveness of Group Training Based on Cognitive Load Theory on Understanding the Concepts of Science and Academic Enthusiasm in Elementary Male Students by Mehdi Starami, Siavash Talepasand

“…A sample of 50 students was selected using a multi-stage random sampling method and randomly assigned to an experimental group (n = 25) and a control group (n = 25). …”
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Internet Addiction: Prevalence and Patterns among Professional College Students in Urban Area – A Cross-sectional Study by Aditya Oruganti, Jaya Chandra Muppa, Balakrishna Kolanati, Avinash Kavi

“…Methodology: A cross-sectional study was conducted among 640 students (320 medical and 320 engineering) using simple random sampling. Data were collected from participants who have used the Internet for at least 6 months via a self-administered questionnaire, including Young’s Internet Addiction Scale, categorizing addiction into normal, mild, moderate, and severe levels. …”
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The status quo and influencing factors of breastfeeding social support in China based on LASSO regression model by Tian Sun, Chanzhi Duan, Yan Wang, Qing Li

“…Methods A total of 251 puerpera were selected to fill in the general information questionnaire and the Breastfeeding Social Support Scale from three community health service centers in the city of Chengde, Hebei province, China, from September to November 2023 by completed random cluster sampling method. And the LASSO regression was used to screen and order the influencing factors of breastfeeding social support. …”
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CT scan-derived pectoralis muscle parameters are closely associated with COVID-19 outcomes: A systematic review and meta-analysis. by Zhang Wen, Tao Wang, Sha Luo, Yiwen Liu

“…<h4>Methods</h4>We systematically searched PubMed, Embase, Web of Science and the Cochrane Library from 1 January 2019 to 1 May 2024 to identify non-overlapping studies evaluating pectoralis muscle-associated index on chest CT scan with clinical outcome in COVID-19 patients. Random-effects and fixed-effects meta-analyses were performed, and heterogeneity between studies was quantified using the I2 statistic. …”
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Green growth dynamics: unraveling the complex role of financial development and natural resources in shaping renewable energy in Sub-Saharan Africa by Alhasan Osman, Mohd Afjal, Majed Alharthi, Mohamed Elheddad, Nassima Djellouli, Zhang He

“…Employing an array of analytical techniques, including panel-corrected standard errors (PCSE), fixed effects, random effects models, and panel-fixed quantile regression, we delve into the nuanced relationships among these critical variables. …”
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Hooded crows (Corvus cornix) manufacture objects relative to a mental template by Anna A. Smirnova, Leia R. Bulgakova, Maria A. Cheplakova, Sarah A. Jelbert

“…All three crows ripped paper pieces from the same colour material as the rewarded template, and, crucially, also manufactured objects that were more similar in size to previously rewarded, than unrewarded, templates, despite the birds being rewarded at random in both tests. Therefore, we found the ability to manufacture physical objects relative to a mental template in yet another bird species not specialized in using or making foraging tools in the wild, but with a high level of brain and cognitive development.…”
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Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis by Masoumeh Vali, Hossein Motahari Nezhad, Levente Kovacs, Amir H Gandomi

“…We conducted a systematic review and random-effect meta-analysis summarizing predictive model development and validation studies using machine learning in diverse samples to predict PTSD. …”
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Simulation-based probabilistic-harmonic load flow for the study of DERs integration in a low-voltage distribution network by Cristian Cadena-Zarate, Juan Caballero-Peña, German Osma-Pinto

“…However, studying harmonic distortion solely through deterministic approaches presents challenges due to the inherent random behavior of DERs. This study introduced a strategy that leverages PowerFactory's harmonic load flow tool. …”
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An Optimized Sanitization Approach for Minable Data Publication by Fan Yang, Xiaofeng Liao

“…Specifically, we take advantage of PSO to produce new particles, which is achieved by random mutation or learning from the best particle. …”
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The Role of Urban Spaces in Improving the Life Quality (A Case Study of Malayer) by Robabeh Rajabi Amirabad, Bijan Rahmani

“…Using Cochran's formula, 384 random samples were selected from different parts of the city and were analyzed through descriptive and inferential statistical analysis using SPSS software. …”
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An optimal defensive deception framework for the container‐based cloud with deep reinforcement learning by Huanruo Li, Yunfei Guo, Penghao Sun, Yawen Wang, Shumin Huo

“…Simulation results show that the proposed method increases C by 30.22%, and increase the detection ratio on the random walker attacker and persistent attacker by 30.69% and 51.10%, respectively.…”
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RELATIONSHIP BETWEEN COPING MECHANISM AND RECURRENCE FREQUENCY IN BRONCHIAL ASTHMA PATIENTS by Moh Jufriyanto, Endang Fauziyah

“…Methods: This research design uses Non-Experimental Analytic Correlation method with a sample of 39 people and uses Probability Simple Random Sampling technique. The research data were taken using a questionnaire. …”
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A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma by Runhan Zhao, Zefang Li, Yanran Huang, Chuang Xiong, Chao Zhang, Hao Liang, Jingtao Xu, Xiaoji Luo

“…Then, the GSE17679 cohort was randomly divided into train and test cohorts. Based on the train cohort, AURKA, RGS4, and RIPK1 were identified as key genes through the univariate Cox regression analysis, the random survival forest algorithm, and the multivariate Cox regression analysis and utilized to establish a prognostic FRG signature. …”
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New data on distribution of the European pond turtle Emys orbicularis (Linnaeus, 1758) in the Podravje region (NE Slovenia) by Marijan Govedič, Milan Vogrin, Dejan Bordjan, Dominik Bombek, Damijan Denac, Tatjana Gregorc, Franc Janžekovič, Nino Kirbiš, Melita Vamberger

“…Most of the data are just random observations and do not give a complete overview of the species distribution in the Podravje region. …”
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Probiotics in irritable bowel syndrome – is the quest for the right strain over? Rapid review of existing guidelines and recommendations by Wojciech Marlicz, Karolina Skonieczna-Żydecka, Patrycja Krynicka, Igor Łoniewski, Grażyna Rydzewska

“…We aimed to summarize published formal recommendations and guidelines regarding the clinical effectiveness of available probiotic strains and conduct a random-effects meta-analysis of outcomes for which ≥ 2 studies contributed data on the same probiotic strain recommended to adults with IBS. …”
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