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Analysis of household food security status in Hadiya Zone, Central Ethiopia

JOURNAL OF AGRICULTURE AND FOOD RESEARCH 2025年 19卷

作者： Gebre, Amanuel Ayele Deshmukh, Mahadeo S. Wachemo Univ Dept Agr Econ Hossana Ethiopia Shivaji Univ Dept Econ Kolhapur India

Ensuring food security is one of the paramount challenges facing the developing world today. Developing countries like Ethiopia have been facing food insecurity for many decades. Despite many efforts undertaken by the government of Ethiopia, the country has not yet achieved food self-sufficiency. The current household food security status and determining factors are inadequately recognized in Hadiya Zone. Thus, this study aims to contribute to filling this gap. The study utilized both primary and secondary data sources. A multistage sampling technique was used to select 384 respondents. A seven-day food consumption score method was used to determine dietary energy intake in kilocalories per person per day, which was then employed to evaluate household food security status. Descriptive and inferential statistics as well as the binary logistic regression model were used to analyze the data. The findings show that 52.1 % of respondents were food insecure, and the remaining 47.9 % were food secure households. The logistic regression model results show that household food security status was mainly influenced by sex, dependency ratio, technology adoption, annual income, non/offfarm participation, soil and water conservation practices, credit use, and market participation. The extent and severity of food insecurity vary across different areas and depend on various factors. To transform the food system into resilient and sustainable, this study recommends that concerned government bodies and stakeholders support rural households with improved agricultural technologies, promote rural entrepreneurship, scale up soil and water conservation practices, provide affordable credit schemes, and enhance market access through improving rural infrastructure.

关键词： Household Food security Determinants logistic regression model Hadiya zone Ethiopia

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Evaluation of the Relationship Between Water Hardness and Incidence of Cardiovascular Diseases in Mashhad, Iran During 2018-2020: A Cross-Sectional Study

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HEALTH SCIENCE REPORTS 2025年第3期8卷 e70376页

作者： Moghimani, Minoo Rahati, Shiva Sobhani, Seyed Reza Hashemi, Mohammad Afshari, Asma Mashhad Univ Med Sci Fac Med Dept Nutr Mashhad Iran Mashhad Univ Med Sci FDA Mashhad Iran Tabriz Univ Med Sci Fac Nutr & Food Sci Dept Food Sci & Technol Tabriz Iran Mashhad Univ Med Sci Med Toxicol Res Ctr Mashhad Iran

Background and Aims: It is believed that the presence of calcium, which is the cause of water hardness, has an inverse relationship with the occurrence of CVDs. However, the results of studies in this field are unclear due to high heterogeneity. Thus, the purpose of this study was to evaluate this hypothesis among members of the Mashhad Persian cohort in Mashhad, Iran. Methods: A total of 618 individuals, aged 25 to 65, who were healthy or had cardiovascular diseases, were chosen. The participants' biological samples were obtained in the first stage, and measurements of their height, weight, waist, hips, and wrist circumference were made in the second stage. The final step involved having the individuals fill out questions about their health and diet. Additionally, logistic regression models, the t-test, and the chi(2) test were employed for data statistical analysis. Results: The amount of calcium carbonate in the water consumed by the non-cardiac and cardiac subjects was 159.40 +/- 38.63 and 158.05 +/- 38.63, respectively, which was not statistically significant (p = 0.683). Taking into consideration that water containing calcium carbonate in concentrations 120-180 mg/L is generally considered hard;the two groups drank hard water. Furthermore, the results of the logistic regression model test demonstrated that there is still no significant correlation between the prevalence of CVD and the levels of calcium carbonate (p = 0.651) and total hardness (p = 0.660) in drinking water, even after accounting for other CVD risk factors. Conclusion: Consistent with prior studies, our article's findings demonstrated that there is no discernible correlation between the use of hard water consumption and the development of CVDs. However, several publications have also noted a significant correlation, mainly attributing it to the existence of magnesium ions. Therefore, further research can help give a definitive answer to this hypothesis.

关键词： calcium cardiovascular diseases hard water Iran logistic regression model magnesium

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Life Satisfaction and Internet Use in Later Life in Italy: The Role of Online Activities and Living Arrangements

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SOCIAL INDICATORS RESEARCH 2025年第3期177卷 1007-1025页

作者： Furlan, Claudia Meggiolaro, Silvia Univ Padua Dept Stat Sci Padua Italy

This study aimed to provide new insights into the role of internet use in the life satisfaction of older people in Italy, considering, in detail, the types of their online activities and the potential differences between these activities according to the old people's genders and living arrangements. The data came from the survey Aspects of Daily Life conducted by the Italian National Institute of Statistics in 2021. The results of the logistic regression models used suggest that some online activities have associations with life satisfaction that vary according to gender and living arrangement. In particular, men living alone seem to benefit from voice and video calls, and men living with others, from messaging. On the other hand, for women living alone, online activities do not seem to be significantly associated with life satisfaction, but for women living with others, voice and video calls seem to be positively related to life satisfaction. Thus, not all online activities can be considered significant tools of empowerment for older adults. Specifically, internet use may have a beneficial effect among older Italians (excluding women living alone) when it is used to maintain or reinforce a real social network that is already present.

关键词： Older people Life satisfaction Social relations Internet use logistic regression model

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Unravelling the competing dynamics of Chinese causative markers shi (sic), ling (sic), jiao1 (sic) and jiao2 : A diachronic analysis

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LANGUAGE SCIENCES 2025年 108卷

作者： Tian, Xiaoyu Speelman, Dirk Zhang, Weiwei Katholieke Univ Leuven Dept Linguist Res Grp Quantitat Lexicol & Variat Linguist QLVL Leuven Belgium Katholieke Univ Leuven Int Off Leuven Belgium

This study uses multinomial logistic regression models and mixed-effects binomial logistic models to examine the factors influencing the choice of Chinese causative markers shi (sic) ('make'), ling (sic) ('make'), jiao1 (sic) ('let') and jiao2 ('let') from the 14th to the 20th century. The analyses uncover the complex competing dynamics among these alternative ways to express causation. Specifically, our examination reveals an overlap of contextual features between jiao1 and jiao2, which is likely to have contributed to the decline of the latter as a causative marker in contemporary Chinese. In contrast, ling exhibits a distinct usage pattern characterized by [ ling + ren ('people/person') + emotion] constructions, presumably allowing it to maintain a stable presence despite its lower frequency compared to the widely used marker, shi. We address the challenges of model convergence and model selection by synthesizing consistent outcomes from multiple logistic regression models, thereby providing a comprehensive understanding of the examined data. (c) 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

关键词： Corpus-based study Chinese analytic causative constructions Construction alternation logistic regression model Diachronic variation

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Exploring the impact of artificial intelligence on curriculum development in global higher education institutions

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EDUCATION AND INFORMATION TECHNOLOGIES 2025年第1期30卷 547-581页

作者： Abbasi, Babar Nawaz Wu, Yingqi Luo, Zhimin Hangzhou Normal Univ Inst China Innovat & Entrepreneurship Educ Hangzhou Zhejiang Peoples R China Zhengzhou Univ Sch Educ Zhengzhou Henan Peoples R China

Artificial intelligence (AI) refers to the theory and development of computer systems capable of performing tasks that normally require human intelligence. This revolutionary technology holds immense potential in multiple domains, including the development of educational curricula. This article has explored the impact of AI on curriculum development in global higher education institutions, analyzing data from 2,000 faculty and student respondents, across five continents: North America, Europe, Asia, Africa, and Latin America, using a logistic regression model. The study found that frequent use of AI, the extent of the faculty knowledge, institution support to faculty, and the future expectation about AI are promoting curriculum development. Furthermore, the effectiveness of AI-driven tools in personalizing learning experiences, enhancing student engagement, identifying and addressing individual needs, providing real-time feedback, improving the quality of teaching and learning materials, and promoting critical thinking and problem-solving skills is driving curriculum development. Moreover, the challenges limiting AI integration in curriculum development include its ability to personalize learning, adapt content based on student needs, ethical concerns, and hesitations in recommending AI use to other educational institutions. Besides, with respect to cultural and educational contexts in AI-powered tools, the integration of AI in global higher education curriculum development is hindered by its inability to align with and navigate the complexities of these contexts. In addition, educators' and leaders' perceptions and attitudes also influence AI's role in curriculum development. Factors such as AI's ability to create personalized learning experiences, familiarity with current AI tools, its effectiveness in identifying student learning gaps, willingness to undergo training and professional development, and its capacity to address biases in curriculum content stimulate

关键词： Artificial intelligence Cultural contexts Curriculum development Ethical concerns Higher education institutions logistic regression model

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Component Analysis model of Glass Relics Based on logistic regression and Fisher Linear Discrimination

Component Analysis Model of Glass Relics Based on Logistic R...

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作者： Jiayan Xu Chenfei Shi Chenyuan He School of Science Chang'an University

In recent years,with the attention paid by various countries to the exploitation and protection of cultural relics and the continuous development of industrialization,people have gradually realized the necessity of analyzing the weathering of ancient glass *** this paper,the physical characteristics,chemical composition and content of sample cultural relics are analyzed and their types are identified by using multiple algorithms such as logistic regression model,Fisher linear discrimination,Fisher's exact test,*** study of this issue can provide guiding suggestions for the analysis and classification of ancient cultural materials,and help archaeologists carry out a series of work such as cultural relics *** results show that the "type" factor has the greatest relationship with weathering,followed by "color" and "decoration".The regression equation between the sample and weathering chemical composition is established,and it is concluded that "type" and "SnO2" have a large negative correlation with weathering,"MgO" and "SO2" have a large positive correlation,and other variables have a weak ***,Fisher linear discriminant method is used to identify the category of unknown glass *** estimating the training group and testing the test group,it is found that the algorithm can correctly classify 100.0% of the original grouped *** can identify the unknown cultural relics and find that A1,A5,A6 and A7 cultural relics belong to high potassium glass,and the rest belong to lead barium *** order to test the accuracy of the model in identifying the category of glass relics,Fisher's exact test algorithm was *** was found that the classification results were more sensitive to silica in the fluctuation range of-50% to-25%,and less sensitive to other chemical components,it is stable.

关键词： logistic regression model Fisher linear discrimination Analysis of cultural relics

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logistic regression models for the nearest train station choice: A comparison of captive and non-captive stations

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CASE STUDIES ON TRANSPORT POLICY 2015年第4期3卷 382-391页

作者： Shao, Changying Xia, Jianhong Cecilia Lin, Ting Grace Goulias, Konstadinos G. Chen, Chunmei Dept Hlth 189 Royal St East Perth WA Australia Curtin Univ Dept Spatial Sci Kent St Bentley WA Australia Univ Calif Santa Barbara Dept Geog Santa Barbara CA 93106 USA

We usually assume that each commuter is an efficient traveller, which means they maximize trip utility. From a spatial optimization perspective, a commuter might therefore choose the nearest station to reach their destination. However, based on a survey at seven train stations in Perth, Western Australia, only between 30 and 80 percent of commuters choose the nearest station to their origin. Many factors could affect this travel behaviour. From a logistic regression model, five factors were found to be significant (p-value <0.05), indicating that commuters are more likely to choose the non-nearest station for longer commutes, while traveling further away from origins and destination if the chosen stations are at, or near, the end of train lines (captive stations). If the chosen stations are along the train line (non-captive stations), longer distance, longer wait times and lower costs from the chosen station to a destination were found to be significant. The results of the study are important for public transport policy makers to understand transit choice behaviours. Therefore public transport policies such as adjustments of travel fees and improving station service and facilities, could be developed. (C) 2015 World Conference on Transport Research Society. Published by Elsevier Ltd. All rights reserved.

关键词： logistic regression model The nearest station choice Captivity

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Nomographic representation of logistic regression models: A case study using patient self-assessment data

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JOURNAL OF BIOMEDICAL INFORMATICS 2005年第5期38卷 389-394页

作者： Dreiseitl, S Harbauer, A Binder, M Kittler, H Univ Appl Sci Upper Austria Hagenberg Dept Software Engn Hagenberg Austria Med Univ Vienna Dept Dermatol Vienna Austria

logistic regression models are widely used in medicine, but difficult to apply without the aid of electronic devices. In this paper, we present a novel approach to represent logistic regression models as nomograms that can be evaluated by simple line drawings. As a case study, we show how data obtained from a questionnaire-based patient self-assessment study on the risks of developing melanoma can be used to first identify a subset of significant covariates, build a logistic regression model, and finally transform the model to a graphical format. The advantage of the nomogram is that it can easily be mass-produced, distributed and evaluated, while providing the same information as the logistic regression model it represents. (c) 2005 Elsevier Inc. All rights reserved.

关键词： patient self-assessment logistic regression model nomogram nomographic decision aid

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Variable and boundary selection for functional data via multiclass logistic regression modeling

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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2014年 78卷 176-185页

作者： Matsui, Hidetoshi Kyushu Univ Fac Math Nishi Ku Fukuoka 8190395 Japan

Penalties with an l(1) norm provide solutions in which some coefficients are exactly zero and can be used for selecting variables in regression settings. When applied to the logistic regression model, they also can be used to select variables which affect classification. We focus on the form of l(1) penalties in logistic regression models for functional data, in particular, their use in classifying functions into three or more groups while simultaneously selecting variables or classification boundaries. We provide penalties that appropriately select the variables in functional multiclass logistic regression models. Analysis of simulation and real data show that the form of the penalty should be selected in accordance with the purpose of the analysis. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Functional data analysis Lasso logistic regression model model selection Regularization

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The effect of small sample on optimal designs for logistic regression models

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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2019年第12期48卷 2893-2903页

作者： Mansour, S. Mehr Niaparast, M. Razi Univ Dept Stat Kermanshah Iran

Asymptotic methods are commonly used in statistical inference for unknown parameters in binary data models. These methods are based on large sample theory, a condition which may be in conflict with small sample size and hence leads to poor results in the optimal designs theory. In this paper, we apply the second order expansions of the maximum likelihood estimator and derive a matrix formula for the mean square error (MSE) to obtain more precise optimal designs based on the MSE. Numerical results indicate the new optimal designs are more efficient than the optimal designs based on the information matrix.

关键词： Bias dm-optimal criterion logistic regression model mean square error small sample size

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