DETERMINANTS OF CORPORATE GOVERNANCE REPORTING AMONG LISTED NON-FINANCIAL FIRMS IN NIGERIA by Bolaji Ibrahim Abiola, Abiodun Lukuman Olaiya, Kamar Adeyemi, Abdelfattah Bolarinwa Jimoh

“…An ex-post facto research design was used and the data were analyzed using binary logistic regression technique. Findings from the study revealed that board independence and CEO duality showed a positive and significant impact on corporate governance disclosure of listed non-financial companies in Nigeria (with p-value of 0.081 and 0.022 respectively) while gender diversity appear statistically insignificant (with p-value of 0.427). …”
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Cascaded intrusion detection system using machine learning by Md. Khabir Uddin Ahamed, Abdul Karim

“…SIDS that use decision trees can discover and classify anomalies. Because OC-SVM is a binary classifier, the intrusion type is determined by DICS. …”
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Mental health determinants among university lecturers during pandemics: A cross-sectional study in Indonesia by Wiwik Afridah, Fifi Khoirul Fitriyah, Yanesti Nuravianda Lestari, Nur Amin, Edza Aria Wikurendra

“…The study involved 92 university lecturers. Positive mental health scale (PMH-Scale), physical activity scale (IPAQ), and religiosity and spirituality scale (RSYS) were employed to assess mental health. …”
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Transforming livestock production: unraveling the impact of socioeconomic dynamics and land use changes in Khost Province by Mujib Rahman Ahmadzai, Mohd Hasmadi Ismail, Pakhriazad Hassan Zaki, Mohd. Maulana Magiman, Paiman Bawon, Rahmawaty, Hayat Ullah

“…Analytical techniques, including Univariate ANOVA, MANOVA, and binary logistic regression, were applied. Findings reveal that key socio-economic factors—such as age, household size, homeownership, and income—significantly influence livestock farming. …”
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Phase Equilibria of Sub-Neptunes and Super-Earths by Edward D. Young, Lars Stixrude, James G. Rogers, Hilke E. Schlichting, Sarah P. Marcum

“…As a result, the radial positions of supercritical magma ocean–atmosphere interfaces, rather than their temperatures and pressures, should reflect the thermal states of these planets. …”
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THE IMPORTANCE OF THE RISK FACTORS OF PURULENT-SEPTIC COMPLICATIONS DEVELOPMENT by A. N. Obedin, S. V. Minaev, I. V. Kirgizov, A. E. Aleksandrov, E. A. Tovkan, N. M. Romaneeva, T. A. Khoranova, L. A. Сhitaeva

“…This model has high enough possibilities to predict both positive (risk of purulent-septic complications) and negative (absence of such risk) results. …”
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Characterization of neonates born to mothers with SARS-CoV-2 infection: Review and meta-analysis by Vanessa Neef, Horst Buxmann, Holger F. Rabenau, Kai Zacharowski, Florian J. Raimann

“…Of 261 neonates, 120 neonates were tested for infection, of whom 12 (10.0%) tested positive. Swabs from placenta, cord blood and vaginal secretion were negative. …”
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Research on the association between community environmental perception and residents’ intention to relocation–a case study of Guangzhou by Jie Gu, Chunxia Zhang, Xiaoxue Li, Xiao Chen

“…We employed factor analysis to capture participants’ community environmental perception and used binary logistic regression to analyze the association between independent and dependent variables.ResultsThe results show that: (1) There is a significant association between age, household registration, and participants’ residential relocation intention; (2) Community environmental perception can be summarized into three aspects: environmental disorder perception, community attachment, and satisfaction, all of which are significantly associated with participants’ residential relocation intention; and (3) There is a positive association between perception of a disorderly environment and residents’ intention to relocation, and a negative association between community attachment and satisfaction and residents’ intention to relocation.ConclusionThis research is highly significant for enhancing our understanding of factors influencing people’s residential relocation intention and for guiding community construction.…”
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Investigation of factors affecting crash severity of rear-end crashes with high collision speeds in work zones: A South Carolina case study by Mahyar Madarshahian, Jason Hawkins, Nathan Huynh, Chowdhury K.A. Siddiqui

“…Using statewide crash data provided by the South Carolina Department of Transportation from 2014 to 2020, a mixed binary logit model with heterogeneity in mean and variance is estimated. …”
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A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding by Xin Xu, Xinke Shen, Xuyang Chen, Qingzhu Zhang, Sitian Wang, Yihan Li, Zongsheng Li, Dan Zhang, Mingming Zhang, Quanying Liu

“…To validate the potential of cross-context emotion decoding, we implemented a support vector machine with L1 regularization, achieving accuracies of 66.7% for binary classification (positive vs. negative emotions) and 28.9% for seven-category emotion classification, both significantly above chance levels. …”
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Tables to determine global cardiovascular risk at the first level of care by Agustín Paramio Rodríguez, René Oramas González, Albadio Pérez Assef, Fidel Cathcart Roca, Myder Hernández Navas

“…The analysis of the equations showed a high positive correlation using Pearson's linear correlation coefficient. …”
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Prevalence of Acne and Its Association With Increased Body Mass Index Among Adolescent Schoolchildren in Northern Sudan: A Cross‐Sectional Study by Moteb K. Alotaibi, Ishag Adam

“…After adjusting, age (adjusted odds ratio (AOR) = 1.21, 95% confidence interval, CI = 1.04–1.41) and BMI (AOR = 1.10, 95% CI = 1.01‒1.14) were positively associated with acne. Females were at a higher risk of having acne (AOR = 2.59, 95% CI = 1.64‒4.08). …”
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Sand displacement and nonuniform swelling in sand–bentonite mixture by image processing by Hao Wang, Hailong Wang, Hideo Komine, Daichi Ito, Kunlin Ruan

“…The raw photographs were first converted into binary images. The sand particles were then detected, and the displacement of the sand particles was obtained by comparing their positions in adjacent images. …”
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Application of a Dual Optogenetic Silencing-Activation Protocol to Map Motor Neurons Driving Rolling Escape Behavior in Drosophila Larvae by Ankura Sitaula, Yuhan Huang, Aref Zarin

“…For this, we simultaneously implement the Gal4-UAS and LexA-Aop binary systems to express two distinct optogenetic channels, GtACR and Chrimson, in motor neuron (MN) subsets and rolling command neurons (Goro), respectively. …”
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Nothing about them without them: insights from six countries on involving “beneficiaries” in co-design, monitoring, and evaluation of research-to-impact projects by Zenebe Uraguchi

“…Over 1,800 semi-structured interviews were triangulated with project documents, observational data, and binary logistic regression models to examine the influence of 10 participatory design features on sustained developmental outcomes. …”
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Aflatoxin Contamination of Maize from Small-Scale Farms Practicing Different Artisanal Control Methods in Kitui, Kenya by Winfred Muthini Kyalo, Joshua Orungo Onono, Jackson Nyarongi Ombui, Peter Baaro Gathura, Johnson Nduhiu Gitahi, Penina Afwande Ateku

“…Data were analyzed by computing descriptive statistical measures, and binary logistic regression was used to determine the relationship between levels of aflatoxin in maize and artisanal control methods applied in different farms. …”
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Association of serum homocysteine levels with acute kidney injury in patients with idiopathic membranous nephropathy by XIE Yi-yi, LI Qiu-lin, PAN Ling, LIAO Yun-hua

“…Objective To investigate the association of serum homocysteine levels with acute kidney injury(AKI)in patients with idiopathic membranous nephropathy(IMN).Methods We retrospectively analyzed 120 participants diagnosed as IMN between March 2011 and October 2015 in the Department of Nephrology,the First Affiliated Hospital of Guangxi Medical University.The patients were divided into high Hcy group(Hcy≥10μmol/L)and normal control group(Hcy<10μmol/L)according to serum Hcy levels.The clinical baseline data of the two groups were collected,such as gender,age,blood pressure,height,weight,blood pressure,renal function,blood lipids,complements C3 and C4,CRP,serum ferritin,serum albumin and 24-h urinary protein.The differences in the clinical baseline data and the incidence of AKI between two groups were analyzed.The related factors of Hcy were analyzed.The clinico-pathological factors of AKI in patients with IMN were analyzed by Logistic regression.Results The proportion of high Hcy in IMN patients was 65.5%,and the proportion of AKI in IMN patients was 26.7%.Moreover,the incidence of AKI in the high Hcy group was significantly higher than in the normal control group(32.9% vs.14.6%,P = 0.046).The Hcy level was positively correlated with SCr level,but negatively with eGFR.Binary logistic regression analysis showed that high Hcy(OR:3.455,95% CI:1.052-11.342,P=0.041)and high blood pressure(OR:4.279,95% CI:1.586-11.544,P=0.004)were independent risk factors for AKI.Conclusions High Hcy may increase the risk of AKI in patients with IMN and controlling the level of Hcy may play an important role in the prevention and treatment of AKI in IMN patients.…”
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Veterinary ethics and companion animal euthanasia: what can we learn from critical disability studies? by Jamie Arathoon, Lauren Van Patter

“…This reduces the ability to engage with questions like: what future potential goods (positive affective states, meaning) could an animal experience by continuing to live; what constitutes a life worth living; and how can we make this decision for another being? …”
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Predicting sensory evaluation of spinach freshness using machine learning model and digital images. by Kento Koyama, Marin Tanaka, Byeong-Hyo Cho, Yusaku Yoshikawa, Shige Koseki

“…Correlation analysis between the extracted features and the sensory evaluation score showed a positive correlation (0.5 < r < 0.6) for four color features, and a negative correlation (‒0.6 < r < ‒0.5) for six clusters in the local features. …”
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Analysis of the incidence and related factors of insulin resistance in patients with non-diabetic nephropathy by 卢永新, 杨毕, 孙阳, 李永艳, 王乙安, 王瑾瑞, 童宗武

“…Objective To explore the incidence of insulin resistance（IR） and examine the IR-related factors in patients with non-diabetic chronic kidney disease（CKD）.Methods From March 2017 to March 2018,non-diabetic CKD hospitalized patients fulfilling the inclusion criteria were analyzed.And the relevant biochemical parameters were recorded.Results The incidence of IR in CKD1-5 phase was 24.53%,29.76%,28.40%,26.42% and 24.42% respectively and no inter-group statistical difference existed in IR incidence（P>0.05）.Correlation analysis indicated that body mass index（BMI）,calcium and triglyceride were positively correlated with IR;hemoglobin, iron and total cholesterol were negatively correlated with HOMA-IR.Other parameters were not correlated with IR.Further binary Logistic regression revealed that normal triglyceride（OR=0.360、P=0.001）,normal BMI（OR=0.272,P=0.004） and normal hemoglobin level（OR=0.301,P=0.001） were protective factors of IR.Metabolic acidosis（OR=6.264,P=0.025） and 25（OH）₂D₃ deficiency（P=0.004,OR=3.032） were risk factors of IR.Conclusion IR occurs in all stages of CKD.However, no statistical difference exists in the incidence of IR in all stages.No significant difference in IR exists among hemodialysis, abdominal dialysis, non-dialysis and different age groups.Normal triglyceride, normal BMI and normal hemoglobin level are protective factors for IR.And metabolic acidosis and 25（OH）₂D₃deficiency are risk factors for IR.…”
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