Morioka University

Lack of knowledge about menstrual hygiene practices can increase the risk of reproductive tract infections, skin disorders, and discomfort during menstruation. Clarifying the research purpose can help keep the reader engaged with the study's objectives. Attractive educational media, such as animated videos, are considered effective in improving adolescents' understanding of menstrual personal hygiene. This study aims to determine the effect of animated video media on personal hygiene during menstruation on the level of knowledge of adolescent girls at SMP Negeri 1 Tarowang, Jeneponto Regency. The type of research is a pre-experimental study with a one-group pretest-posttest design. The study population was all 107 female students in grades VII and VIII who had experienced menstruation, and the research sample consisted of 52 respondents selected by purposive sampling. The data collection instrument used a questionnaire, with data analysis using the Wilcoxon test. The results showed that before being given education using animated video media, most respondents had a low level of knowledge of 42 respondents (80.8%). After being given education, there was an increase in knowledge where most respondents had good knowledge of 43 respondents (82.7%). The Wilcoxon test showed a p-value of 0.000 (p < 0.05), indicating a significant effect of animated video media education on improving adolescent girls' knowledge about personal hygiene during menstruation. It is hoped that schools and health workers can utilize animated video media in reproductive health education programs to improve adolescents' knowledge and preparedness in maintaining personal hygiene during menstruation.

Background: Premature delivery is defined as the delivery process experienced at a gestational age of less than 37 weeks or a fetus that weighs less than 2,500 grams. Preterm birth not only results in perinatal death, but it also often causes short-term and long-term disability in the affected infants. Objective: To analyze the relationship between age and parity to premature delivery. Methods: This study is a type of analytical research using cross-sectional data with secondary data. Results: There was an age relationship with premature delivery with a value of p = 0.000 < 0.05 and a parity relationship with premature delivery at Prof. Dr. H m. Anwar Makkatutu Hospital, Bantaeng Regency with a p value = 0.000 < 0.05. Conclusion: Good nutritional status plays a very important role in supporting academic achievement, both through its influence on brain development, energy, cognitive function, and children's learning motivation.

Background: Malnutrition, iron deficiency anemia, and macro- and micronutrient deficiencies, including chronic energy deficiency (CED/SEZ), are common nutritional problems among pregnant women. Objective: To determine the characteristics of pregnant women experiencing Chronic Energy Deficiency (CED/SEZ) in the Puskesmas working area. Methods: This study employed a quantitative, descriptive, cross-sectional design. Results: The majority of pregnant women with CED/SEZ were aged <20 years (25 respondents; 52.1%). Most belonged to the primary parity category (26 respondents; 54.2%), and 33 respondents (68.8%) were unemployed. In terms of education, 24 respondents (50.0%) had only basic education (elementary or junior high school). Conclusion: Pregnant women aged <20 years or >35 years require greater nutritional support. The nutritional status of pregnant women may be influenced by parity, birth outcomes, and the number of children. Mothers who have given birth to four or more children are at greater risk of experiencing CED/SEZ.

This study contrasts the revision of the Comprehensive Management Plan for Public Facilities with the development of various measures for public facility reorganization. As a result, it was found that (1) the development of the agency structure has gradually progressed in accordance with the revision of the plan and changes in policy, but (2) setting of goals, (3) promotion of public-private partnerships, and (4) coordination with city planning have not progressed and further specific measures and support from the central government are needed.

In the remote management of network equipment, network administrators use the command-line interactive interface to troubleshoot problems and modify configurations. A dedicated network for out-of-band network management is required to ensure remote control of network equipment even in the event of system failures, increasing the cost of network management. LPWA is a possible candidate for constructing a network for out-of-band management due to its low-cost and long-distance communication performance. However, its low bandwidth would degrade the performance of the interactive management. This paper solves this problem by reducing the size of interactive commands sent to network equipment. We employ Huffman coding-based compression by exploiting biases and operator characteristics of used commands for network management. Performance evaluation results show that the proposed method can reduce the size of operation commands to 3.6%, which is quite better than the traditional deflate algorithm.

At providing mass meals, it is required to preserve 50g samples of both raw material and cooked foods stored at -20℃ for more than 2 weeks for hygiene inspections, which particularly occur in the event of food poisoning incident. These samples are managed as preserved and inspected meals. However, from the terms of food cost, food loss and working time, it could be considered to collect 50g samples of all foods every time a meal is served. We, therefore, summarized descriptions contained in guides on preserving foods. Conducting an online search, we identified 23 guides provided by local governments.

We collected 3180 records of oleic acid (C18:1) and monounsaturated fatty acid (MUFA) measured using gas chromatography (GC) and 6960 records of C18:1 and MUFA measured using near-infrared spectroscopy (NIRS) in intermuscular fat samples of Japanese Black cattle. We compared genomic prediction performance for four linear models (genomic best linear unbiased prediction [GBLUP], kinship-adjusted multiple loci [KAML], BayesC, and BayesLASSO) and five machine learning models (Gaussian kernel [GK], deep kernel [DK], random forest [RF], extreme gradient boost [XGB], and convolutional neural network [CNN]). For GC-based C18:1 and MUFA, KAML showed the highest accuracies, followed by BayesC, XGB, DK, GK, and BayesLASSO, with more than 6% gain of accuracy by KAML over GBLUP. Meanwhile, DK had the highest prediction accuracy for NIRS-based C18:1 and MUFA, but the difference in accuracies between DK and KAML was slight. For all traits, accuracies of RF and CNN were lower than those of GBLUP. The KAML extends GBLUP methods, of which marker effects are weighted, and involves only additive genetic effects; whereas machine learning methods capture non-additive genetic effects. Thus, KAML is the most suitable method for breeding of fatty acid composition in Japanese Black cattle.

A cross-sectional study was performed to investigate the relationships between serum fluoride levels, glucose levels, and insulin secretion in a general population. A total of 330 healthy subjects (167 men; 163 women) aged between 40 and 69years were examined. Lifestyle information was obtained using questionnaires. Blood samples were collected in the early morning, and biochemical parameters and glucose indices were measured. Serum ionic fluoride (SIF) levels were assessed using a highly sensitive method. Relationships between glucose indices and SIF levels were investigated using a multiple linear regression analysis. SIF levels positively correlated with fasting plasma glucose (FPG) and glycohemoglobin (HbA1c) levels in both sexes. In women, SIF levels negatively correlated with homeostasis model assessment insulin secretion (HOMA-β) levels. In men, the proportion of regular drinkers negatively correlated with HOMA-β, but not SIF levels. Although SIF levels < 1μmol/L were associated with reduced insulin secretion and increased FPG levels, the risk of diabetes was not elevated. These results suggest that increased SIF levels caused by a large fluoride intake and compromised renal function combined with poor lifestyle choices elevate the risk of diabetes. Further studies are warranted to elucidate the effects of fluoride on glucose metabolism.