Mexico International University

Hiperemesis gravidarum merupakan kondisi mual dan muntah berat pada kehamilan yang mengganggu aktivitas sehari-hari serta berdampak pada kesehatan umum, ditandai dengan frekuensi muntah yang dapat mencapai lebih dari sepuluh kali per hari hingga menyebabkan dehidrasi. Ketidakseimbangan hormon selama kehamilan dapat merangsang lambung, meningkatkan produksi asam lambung, sehingga memicu mual dan muntah apabila ibu hamil tidak mampu beradaptasi. Kondisi mual dan muntah yang sangat berat, mengganggu aktivitas, serta menyebabkan kekurangan cairan inilah yang disebut hiperemesis gravidarum. Untuk mengetahui faktor-faktor yang berhubungan dengan kejadian hiperemesis gravidarum pada ibu hamil di RS Ibnu Sina YW-UMI Makassar tahun 2025. Penelitian ini menggunakan desain survei analitik dengan pendekatan cross sectional. Teknik total sampling digunakan dalam pengambilan sampel sehingga diperoleh 40 responden. Data yang terkumpul diolah dan dianalisis menggunakan program statistik SPSS versi 24 dengan uji chi-square. Berdasarkan uji chi-square, didapatkan nilai p-value masing-masing variabel sebagai berikut: paritas p = 0,043; status gizi p = 0,021; dan pengetahuan p = 0,000. Dengan demikian, Ho ditolak dan Ha diterima, yang berarti terdapat hubungan antara paritas, status gizi, serta tingkat pengetahuan dengan kejadian hiperemesis gravidarum di RS Ibnu Sina YW-UMI Makassar.

The success of maternal health programs is often evaluated using the Maternal Mortality Rate (MMR), which measures deaths during pregnancy, childbirth, and the puerperium due to pregnancy-related causes. In 2020, hypertension in pregnancy was a leading cause of maternal deaths, with 1,110 cases reported. Pre-eclampsia, characterized by hypertension (blood pressure ≥140/90 mmHg) and proteinuria after 20 weeks of gestation, is a significant concern. Overweight and obesity are high-risk factors associated with increased pregnancy complications, including pre-eclampsia. This study aimed to analyze the relationship between Body Mass Index (BMI) and pre-eclampsia at Amanat Hospital in Makassar City. Using an observational analytic design with a cross-sectional approach, 284 pregnant women were assessed. The prevalence of pre-eclampsia was found to be 9.9%, with 28 women diagnosed. Bivariate analysis using the Chi-Square test revealed a significant association between BMI and pre-eclampsia (p = 0.001), while no significant association was found between Upper Arm Circumference (LILA) and pre-eclampsia (p = 0.348). The study concludes that BMI is significantly associated with pre-eclampsia, whereas LILA does not show a significant relationship.

This study investigates gender differences in the willingness to report incidents of interpersonal violence, focusing on the roles of perceived barriers, trust in authorities, knowledge of reporting procedures, and social support. A quantitative research design was employed, utilizing a structured questionnaire administered to a sample of 300 adults (150 men, 150 women) using convenience sampling technique. The results indicate that women reported a significantly greater willingness to report incidents of interpersonal violence than men. Furthermore, significant gender disparities were found: men perceived higher barriers to reporting and had lower levels of trust in authorities, knowledge of reporting channels, and perceived social support compared to women. Regression analysis identified perceived barriers as the strongest negative predictor and trust in authorities as the strongest positive predictor of reporting willingness. The study concludes that effective interventions to increase reporting must be gender-responsive, addressing the distinct barriers faced by men and women through targeted awareness campaigns, strengthened institutional trust, and enhanced support services.

The rapid growth of social media has higher concerns about its potential influence on mental health. Although social media may effect in a social connection, emotional support, etc; it has also been associated with bad significances, including anxiety, depression and stress. Nonetheless, issue of determining particular mental health effects of social media behavior is not widely researched. The goal of this research is to model the predictions of depression, anxiety, and stress with the experience of deep-learning models trained on social media data and make comparisons with the predictions of other traditional statistical tools such as the regression analysis. The sample size was 500 participants of ages 18-30, including data about the use of social media (duration spent using social media, information interaction type: active and passive and interaction with the contents) and self-reported mental health results. The research used deep learning theories. It was revealed that passive use of social media (or scrolling with no action) was most associated with being linked with negative mental health outcomes whereas active use had some less strong effects. Furthermore, the models based on deep learning were more effective in comparison with the traditional ones, as the latter proved to have less predictive accuracy. This can be the result of the considerable improvement of the prediction of mental health outcomes with the assistance of the social media action as application of the deep learning models could be evaluated. The researcher furnished data on the effects of the trends of the social media usage on the mental health and need to facilitate the preservation of an active and healthy usage. The further studies need to concentrate on longitudinal research and use multimodal data to bias prediction model. The research paper is added to the developing sphere of computational mental health and suggests specific interventions via social media behaviors.

<em>Har bir millat o‘zining qadimdan saqlanib kelgan an’analariga va urf – odatlariga ega. Xususan, o‘zbek xalqi ham asrlar davomida shakllanib kelgan o‘ziga xos etnografik tarixiga ega bo‘lgan xalq. Mana shunday urf-odat va an’analar ichida xalqimizning to‘ylari qadim zamonaran to hozirgacha saqlanib kelinayotgan asosiy marosimlaridan biri hisoblanadi.</em>

With the global spread of COVID-19, the governments advised the public for adopting safety precautions to limit its spread. The virus spreads from people, contaminated places, and nozzle droplets that necessitate strict precautionary measures. Consequently, different safety precautions have been implemented to fight COVID-19 such as wearing a facemask, restriction of social gatherings, keeping 6 feet distance, etc. Despite the warnings, highlighted need for such measures, and the increasing severity of the pandemic situation, the expected number of people adopting these precautions is low. This study aims at assessing and understanding the public perception of COVID-19 safety precautions, especially the use of facemask. A unified framework of sentiment lexicon with the proposed ensemble EB-DT is devised to analyze sentiments regarding safety precautions. Extensive experiments are performed with a large dataset collected from Twitter. In addition, the factors leading to a negative perception of safety precautions are analyzed by performing topic analysis using the Latent Dirichlet allocation algorithm. The experimental results reveal that 12% of the tweets correspond to negative sentiments towards facemask precaution mainly by its discomfort. Analysis of change in peoples’ sentiment over time indicates a gradual increase in the positive sentiments regarding COVID-19 restrictions.

Fish meat is the most consumed protein source of animal origin in the world, in the North the consumption is around 135 kg per capita / year. Fishmeal, although little known and used throughout the Brazilian territory, has been gradually discovered by nutritionists and followers of healthy food. This work aims to evaluate the physico-chemical and microbiological characteristics of a protein meal developed from Tambaqui (C. macropomum). In this sense, determinations were made for proteins, lipids, ashes, moisture, carbohydrates and caloric value. All analyzes were done in triplicate. Proteins were determined by the Kjeldahl method, through digestion, distillation and titration of the sample for determination of total nitrogen. For extraction of the lipids approximately 10 g of each sample were weighed and determined by the method of Bligh and Dyer (1959). The fixed mineral residue or ashes were determined by calcination of the sample. Carbohydrates were determined by difference. Based on the laboratory data and observation of the obtained results it was verified that the fish meal of Tambaqui analyzed indicates protein of 70%, fats of 5.5%, ashes of 3.9%, humidity of 7.8%, carbohydrates of 12.8% and totaling 380.7 kcal. In the microbiological analyzes, all the samples evaluated were negative for both Staphylococcus coagulase positive and Salmonella sp., Making the product suitable for human consumption. Finally, from the flour, it was possible to maintain the nutritional properties of the Tambaqui fish (C. macropomum), being an important alternative for its use.

This work presents the design as well as the evaluation of an output adaptive controller which must induce the stabilization of the tracking error for a class of skid steered autonomous vehicle (SSAV). The control design includes a nonlinear transformation (diffeomorphism) using a simplified SSAV mathematical model. This diffeomorphism justifies the transformation of the control problem in the original coordinates to a suitable chain of integrator system (third-order). In this study, the available measurements are the position and orientation of the SSAV. The aforementioned condition, encourages the implementation of a modified super twisting algorithm (STA) which is applied as a recursive differentiator which may estimate the velocity and acceleration of the SSAV efficiently. Based on the estimated states, an adaptive controller provides the asymptotic stability of the tracking trajectories for the SSAV. Numerical evaluation comparing the proposed adaptive controller with a state feedback controller confirmed the design of the suggested control structure.