Exposure to Noise from Agricultural Machinery: Risk Assessment of Agricultural Workers in Italy by Valerio Di Stefano, Massimo Cecchini, Simone Riccioni, Giorgia Di Domenico, Leonardo Bianchini

“…The analysis takes into account the parameters Lpeak (peak sound pressure values), LAeq.T (time-weighted equivalent noise exposure levels) and LAS (maximum and minimum values weighted according to the Slow time constant) in order to assess the noise impact and define strategies for improving the safety and health of workers. …”
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Probabilistic slope stability analysis: a case study of Ain Bouzian landslide within North-East Algeria by Samir Ghedjati, Mohammed Lamara, Youcef Houmadi

“… The aim of this study is to carry out a probabilistic analysis of slope stability within homogenous soil profile of Ain Bouzian landslides located north-east Algeria. …”
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Effect of Quercetin and Zinc Oxide Concentrations on pH and In Vitro Activity of Sunscreen Lipstick by Budipratiwi Wisudyaningsih, Kuni Zu'aimah Barikah, Ilfi Nur Kamelia

“…Both quercetin and zinc oxide individually demonstrated a positive influence on increasing the pH and SPF values of the formulations, while concurrently reducing both %TE and %TP values. …”
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Assessment of Yield Parameters in M3-Generation of Chickpea (Cicer arietinum L.) Treated with Different Concentrations of EMS by Uddin MD Waseem, G. Vijay Kumar, K. Srinivas Naik

“…From the ANOVA results, it is evident that the difference in the mean values is highly significant due to the treatment of all the characters which indicates that there is an ample genetic variability in the genotypes. …”
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Effect of Quercetin and Zinc Oxide Concentrations on pH and In Vitro Activity of Sunscreen Lipstick by Budipratiwi Wisudyaningsih, Kuni Zu'aimah Barikah, Ilfi Nur Kamelia

“…Both quercetin and zinc oxide individually demonstrated a positive influence on increasing the pH and SPF values of the formulations, while concurrently reducing both %TE and %TP values. …”
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Predicting Survival Outcomes for Patients with Ovarian Cancer Using National Cancer Registry Data from Taiwan: A Retrospective Cohort Study by Amrita Chattopadhyay, Ya-Ting Wu, Han-Ching Chan, Yi-Ting Kang, Ying-Cheng Chiang, Chun-Ju Chiang, Wen-Chung Lee, Tzu-Pin Lu

“…Method: Two prognostic models (M1 and M2) were developed: M1 utilized clinical variables only, M2 additionally included cancer-specific variables with the aim to improve the accuracy. …”
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Influence of the environmental challenges on the resilience of purse seine fisherman in Kutaraja oceanic fishing port, Banda Aceh by Jasnur Syahputra, Sugeng Hari Wisudo, Eko Sri Wiyono, Mustaruddin Mustaruddin

“…Meanwhile, education and environmental conditions have less influence, indicated by p-values of 0.089 and 0.122 (p 0.05). The coefficient of determination (R²) is 0.68, suggesting that 68% of the variance in fishermen’s resilience can be explained by these four variables. …”
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A COMPARISON STUDY BETWEEN EPIC AND MODIFIED EPIC MODELS IN ASSESSING THE ERODIBILITY FOR ALLUVIAL SOILS by Safa Al-Qaisi, Khalid F. Hassan

“…The  study aimed to determine the effect of spatial variability on the  erodibility factor (K-factor) for alluvial  soils located at Tigris river bank using two empirical models ,KEPIC and modified KEPIC( Kr).The studied alluvial soils were extended along the adjacent area of Tigris river including three sites (Mosul Dam , Al-Rashidia and Al-Busaif).The results indicated that there is a wide variations between the two models in estimating the soil erodibility. …”
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Comparative efficacy of non-steroidal anti-inflammatory drugs in preventing postoperative macular edema following cataract surgery: a systematic review and Network Meta-analysis by Min Lang, Jie Xuan, Xue Li, Ming-Ming Liu, Jie Xu, Ting Liu

“…Heterogeneity analysis yielded high I2 values, indicating substantial variability across studies. …”
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Machine learning algorithm to predict the in-hospital mortality in critically ill patients with chronic kidney disease by Xunliang Li, Yuyu Zhu, Wenman Zhao, Rui Shi, Zhijuan Wang, Haifeng Pan, Deguang Wang

“…According to the SHAP values, the sequential organ failure assessment score, urine output, respiratory rate, and simplified acute physiology score II were the four most influential variables in the XGBoost model.Conclusions In conclusion, we successfully developed and validated ML models for predicting mortality in critically ill patients with CKD. …”
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Co-designing and testing the learn together guidance to support patient and family involvement in patient safety investigations: a mixed-methods study by Jane O’Hara, Lauren Ramsey, Siobhan McHugh, Joseph Langley, Justin Waring, Ruth Simms-Ellis, Gemma Louch, Jenni Murray, Carl Macrae, John Baker, Rebecca Lawton, Daisy Halligan, Olivia Rogerson, Penny Phillips, Debra Hazeldine, Sarah Seddon, Joanne Hughes, Rebecca Partridge, Katherine Ludwin, Laura Sheard

“…Findings Stage 1 found stakeholders valued involvement, but it was not well supported by local policy, even though it likely reduces litigation. …”
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…Models were developed for subsets of variables, including the top 5, top 10, top 15, and all identified features. …”
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A Descriptive Cross-Sectional Study of Manipulative Dexterity on Different Subtypes of Multiple Sclerosis by Elisabet Huertas-Hoyas, Nuria Máximo-Bocanegra, Carlos Diaz-Toro, Raquel Montes-Diez, Jorge Pérez-Corrales, Patricia Sánchez-Herrera-Baeza, Rosa Mª Martínez-Piédrola, Cristina García-Bravo, Carlos Sánchez-Camarero, Marta Pérez-de-Heredia-Torres

“…In addition, differences were found regarding the effect size of practically all the variables analyzed for both manipulative dexterity (PPT, NHPT, and BBT) and the self-perception of ADLs (ABILHAND), for which high values (dr=0.72) and very high values (dr=1.46) were obtained. …”
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Who is the patient with resistant myofascial temporomandibular disorders pain? A somatosensory, psychosocial, and genetic characterization by Giancarlo De la Torre Canales, Rodrigo Lorenzi Poluha, Flávia Fonseca Carvalho Soares, Dyna Mara Araújo Oliveira Ferreira, Alfonso Sánchez-Ayala, Leonardo Rigoldi Bonjardim, Malin Ernberg, Paulo César Rodrigues Conti

“…Also, the TMD-R group presented higher values in all assessed psychosocial variables (p < 0.01) and higher prevalence of the HTR1A polymorphism rs6295 (p = 0.02) compared with the other groups at baseline. …”
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Correlations and Variations Between the Major Biochemical Parameters of the Blood of Hybrid Swine by Sergei Yu. Zaitsev, Oksana A. Voronina, Nikita S. Kolesnik, Anastasia A. Savina, Aloyna A. Zelenchenkova

“…In modern animal husbandry, increasing attention is given to mathematical modeling and statistical methods, especially for evaluating commercial hybrids. Our aim was to evaluate the phenotypic and genetic variability of biochemical parameters of blood serum of the 56 hybrid boars (Large White × Landrace × Duroc) raised in feeding stations (Russia) through mathematical modeling. …”
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Incremental shuttle walking test for calf muscle oxygenation assessment in peripheral arterial disease: a cross-sectional study by Patrícia Paulino Geisel, Isabella de Oliveira Nascimento, Marina Mendonça Gonçalves Machado, Raimundo Lucas Gomes Mateus dos Santos, Bruno Rafael Nézio Gomes, Gisela Maria Pontes Przybysz, Isabel de Figueiredo Magalhães Pereira, Danielle Aparecida Gomes Pereira

“…Typical PAD tissue oxygenation patterns were observed in both tests, with significant differences (p < 0.05) in oxygenation values during exercise for the variables delta of tissue oxygen saturation (ΔStO2) and reoxygenation rates. …”
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Factors Affecting Bureaucratic Information and Skills of Farmers; the Case of Tokat Province by Gungor Karakas, Esen Oruç, Esra Duran

“…To achieve this aim, a questionnaire was administered face-to-face to 110 farmers. …”
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…Abstract Accurately forecasting carbon dioxide (CO2) adsorption in KOH-activated biochar is crucial for advancements in geoenergy engineering and environmental technology. This research aims to develop robust machine learning models to capture the intricate relationships influencing CO2 adsorption, driven by variables like pressure, temperature, and the biochar’s chemical and physical properties. …”
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Development and psychometric evaluation of the vaccine knowledge test for childhood vaccinations: using Rasch analysis by Deniz Kocoglu-Tanyer, Deniz S. Yorulmaz Demir

“…Results The Vaccine Knowledge Test had an average item difficulty index of 0.498 and an average item discrimination index of 0.447. The WMS values of the items ranged from 0.81 to 1.14, and the UMS values ranged from 0.80 to 1.35, indicating good dispersion. …”
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Eccentric external and internal rotation peak torque ratios predict shoulder injuries with national judokas; a prospective cohort study by Shirzad Mian Darbandi, Masoud Sebyani, Shiva Behpour, David G. Behm, Mahdi Hosseinzadeh

“…Abstract Introduction and aim This study aimed to identify isokinetic strength variables of the shoulder rotator muscles that are associated with the risk of upper limb injuries in elite judokas, and to establish predictive cut-off values for injury risk using a prospective cohort design. …”
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