bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of Two Methods, Gradient Boosting and Extreme Gradient Boosting to Pre- dict Survival in Covid-19 Data
Authors: Razavizadeh Nadiasadat Taghavi , Salari Maryam , Jafari Mostafa , Sabaghian Ehsan , Ghavami Vahid
Published: May 2024

Introduction: The present study discusses the importance of having a predictive method to determine the prognosis of patients with diseases like Covid-19. This method can assist physicians in making treatment decisions that improve survival rates and avoid unnecessary treatments. This research also highlights the importance of calibration, which is often overlooked in model evaluation. Without proper calibration, incorrect decisions can be made in disease treatment and preventive care. Therefore, the current study compares two highly accurate machine learning algorithms, Gradient boosting and Extreme gradient boosting, not only in terms of prediction accuracy but also in terms of model calibration and speed.
Methods: This study involved analyzing data from Covid-19 patients who were admitted to two hospitals in Mashhad city, Razavi Khorasan province, over a span of 18 months. The k-fold cross-validation method was employed on the training dataset (K=5) to conduct the study. The accuracy and calibration of two methods (Gradient boosting and Extreme gradient boosting) in predicting survival were compared using the Concordance Index and calibration.
Results: The Concordance Index values obtained for gradient boosting and Extreme gradient boosting models were 0.734 and 0.736, in the imbalanced and In the balanced data, the Concordance Index values were 0.893 for gradient boosting and 0.894 for Extreme gradient boosting. The surv.calib_beta index, the gradient boosting model had an estimated value of 0.59 in the imbalanced data and 0.66 in the balanced data. The Extreme gradient boosting model had an estimated value of 0.86 in the balanced data and 0.853 in the imbalanced data. The Extreme gradient boosting model was faster in the learning process compared to the gradient boosting model.
Conclusion: The Gradient boosting and Extreme gradient boosting models exhibited similar prediction accuracy and discrimination power, but the Extreme gradient boosting model demonstrated relatively good calibration compare to Gradient boosting model.
Survival Prognostic Factors of Male Breast Cancer Using Appropriate Survival Analysis for Small Sample Size: Three Center Experience
Authors: Taheri Seyede Solmaz , Akbari Mohamad Esmaeil , Bonakchi Hossein , Baghestani Ahmad Reza
Published: May 2024

Introduction: Breast cancer in men is a rare disease that has been increasing in recent decades. Identifying factors influencing the survival rate of these patients is particularly important considering the small sample size. The aim of this study was to present the results of the conventional Cox- LASSO method and compare it with the newer refined generalized log-rank (RGLR) method for analyzing survival data with a small sample size.
Methods: Available information related to men with breast cancer referred to 3 treatment centers in the country (Iran) between 2012 and 2020 were reviewed. Cox-LASSO and RGLR models were fitted on the data. The analyzes were done using R.4.1.2 software and the significance level of 0.05 was considered.
Results: About 60% of the conflicts are reported on the left side. About 53% of men have been diagnosed at a low stage. The tumor size of 75% of the patients was between 2 and 4.3. Most patients have received modified radical mastectomy (MRM) treatment and adjuvant radiotherapy. 80% of patients had received chemotherapy and most had received anthracycline-taxane base. According to Akaike's criterion, RGLR model (AIC=289.32) was better than Cox-LASSO (AIC=314.76) model. Results of RGLR model indicated that, age (p-value= 0.038, HR >50 vs <50 = 6.75, 95% CI: 2.70–17.30), left laterality (p-value = 0.019, HR left vs right = 3.45, 95% CI: 1.48–8.02), larger tumor size (p-value=0.033, HR T2 vs T1 = 3.70, 95% CI: 2.92–6.68; HR T3 vs T1
= 4.34, 95% CI: 3.17–5.95), higher tumor grades (p-value<0.001, HR grade 2 or 3 vs grade1 = 8.67, 95% CI: 5.10–14.71), are influential factors decreasing male breast cancer patient’s survival.
Conclusion: Although the results of the two existing models in the field of small sample size survival analysis (Cox-LASSO and RGLR) are close to each other, the RGLR model has performed better than the Cox-LASSO. With smaller AIC and SE of parameter estimation, RGLR model was choose compared to Cox-LASSO model.
A Grounded Theory Study of Couple Caregiving: A Qualitative Study
Authors: Forouzanfar Azadeh , Fatehizade Maryam , Farahbakhsh Kiumarth
Published: May 2024

Aim: Caregiving is fundamental to human relationships and plays a crucial role in the quality and stability of marital relationships. The present study aimed to explain the concept of couple caregiving. Methods: This qualitative research was conducted in 2021, adopting a grounded theory approach. For this purpose, ten couples residing in city of Aligudarz (Iran) were selected based on inclusion criteria and purposive sampling. The sampling continued until data saturation was reached. These individuals were examined through semi-structured, in-depth interviews. Data were analyzed using Strauss and Corbin’s (2014) method and the MAXQDA20 software.  Findings: The data analysis led to the identification of 78 open codes and 13 axial codes in the form of causal conditions: life history, conscious marriage; contextual conditions: individual and couple contexts; efficient couple relationship; Intervening conditions: behavioral and cognitive facilitating factors; obstacles: personal and environmental stressors; Strategies for sustaining and improving care, and persona; outcomes for the caregiver and care recipient and couple outcomes and the central theme of “reciprocal couple caregiving” was chosen. Conclusions: The findings indicated that factors influencing couple caregiving extend to the time before marriage. Couple caregiving involves conscious marriage and proactive and constructive actions of the couple. It is an interactive and reciprocal process that enhances the insight and awareness of the couple, and the use of care-seeking and caregiving receptivity strategies significantly contributes to its continuity.
El ecofeminismo: la inclusión de la ética del cuidado a la reflexión sobre la crisis ambiental
Authors: Castro-Bernardini Ximena
Published: May 2024

En la presente investigación se hace una revisión del aporte del ecofeminismo constructivista al análisis de la crisis medioambiental. Este ecofeminismo plantea incluir categorías de género y enfoques del feminismo teórico en el análisis de la situación ambiental actual. Se han revisado cifras del último año sobre la división sexual del trabajo —doméstico y remunerado— en Latinoamérica con el objetivo de identificar y evidenciar la desigualdad de la división sexual del trabajo, al mismo tiempo que reconocer que los trabajos del cuidado aún son adjudicados en su mayoría a las mujeres. En este artículo se muestra que la universalización de las experiencias del cuidado, que se retoman desde el ecofeminismo de Alicia Puleo y en la ética del cuidado, pueden ser de vital importancia como medida de transformación de la relación de los seres humanos con la naturaleza.
Rice Brown Planthopper, Nilaparvata lugens (Stål) Feeding Behaviour in Resistant NAGINA22 Rice Mutants
Authors: Anjali K.M. , Jhansilakshmi Vattikuti , Kranthi Pogula , Mangrauthia Satendra Kumar , Sundaram Raman Meenakshi
Published: May 2024

Background: Rice (Oryza sativa L.), is an important staple food and an excellent source of calories in India. Of the different insect pests attacking rice, brown planthopper, BPH, Nilaparvata lugens (Stål) is an important sucking pest causing upto 100% yield losses. Host plant resistance is the most important method in keeping BPH under control and understanding the underlying mechanisms of resistance is necessary to breed the resistant varieties with desirable characters. Methods: Selected EMS mutant lines of Nagina22 (N22) variety, which were previously mass screened under controlled greenhouse conditions were assessed for their antixenosis mechanism to brown planthopper feeding by measuring probing marks and honeydew excretion area by following standard procedures and statistical analysis was done by using Statistix 8.1 software. Result: Both the brown planthopper nymphs and adults probed more in the resistant mutants compared to the susceptible mutants whereas the BPH adults probed more times (24.4) compared to the nymphs (22.2). The recorded honeydew excretion area by the resistant mutants was lower than that of susceptible mutants. In general, the BPH adults fed more and excreted more honeydew (79.5 mm2) compared to the nymphs (59.0 mm2). The damage score has a negative correlation with the probing marks of adults (-0.207) and nymphs (-0.411); and a positive correlation with honeydew excretion of adults (0.547) and nymphs (0.200). In this study, the EMS N22 mutants resistant to BPH, with a greater number of probing marks and less honeydew excretion area can serve as best donors in the breeding programmes to develop brown planthopper resistant varieties.
Nitrogen Gradient Optimization with Kharif Legumes on Agronomic Parameters in Zero-till Rabi Maize
Authors: Kishore A. Sai , Sreelatha D. , Reddy M. Malla , Kumar M.V. Nagesh , Kumar T. Sukruth
Published: May 2024

Background: With the SDG goals of using the generated output of one season on other season for managing the resource potential so to unlock the crop productivity is being the best alternative that need to be looked out in present climate change scenario. So, the present trial is focuses on the lines of residue management of legumes on maize sequence with nitrogen as the driving gradient in 2021-22 and 2022-23. Methods: The experiment is laid out in split-plot design with 18 treatments consisted of C1N1: groundnut100% RDN-maize, C1N2: groundnut75% RDN-maize, C2N1: soybean100% RDN-maize, C2N2: soybean75% RDN-maize, C3N1: greengram100% RDN-maize, C3N2: greengram75% RDN-maize as main-plots and 3 subplots viz.100% RDN, 125% RDN, 150% RDN (kharif and rabi respectively) during two years of study. Result: Among the different cropping systems, the preceding kharif greengram with 100% RDN on rabi zero-till maize showed higher growth parameters i.e. plant height, leaf area, leaf chlorophyll content (SPAD reading), dry matter at 30,60,90 DAS and at harvest and yields in both years. However, with respect to nitrogen levels, application of 150% RDN to rabi maize showed significantly higher growth and yields followed by 125% RDN and lowest was seen in 100% RDN in rabi respectively. On the other hand, the interaction effect was found significant at only 60 DAS in both years.
Exploring Maze Navigation: A Comparative Study of DFS, BFS, and A* Search Algorithms.
Authors: ELKARI Badr , OURABAH Loubna , SEKKAT Hiba , HSAINE Ayoub , ESSAIOUAD Chama , BOUARGANE Yassine , El Moutaouakil Karim
Published: May 2024

A comparative study was conducted using Python and Pmaze to evaluate the performance of DFS, BFS, and A* search algorithms in path planning for a maze. The main objective of the project was to compare the efficiency of these algorithms in terms of path cost and algorithmic complexity. No physical robot was used in this study as it focused solely on the analysis of search algorithms. This study contributes to the advancement of knowledge in the field of path planning by exploring different approaches for mazes using Python and Pmaze.
A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence
Authors: Ahourag Abdellah , El Moutaouakil Karim , Elkari Bader , Hammouni Aayah , Ourabah Loubna , Chellak Saliha
Published: May 2024

Recommended diets have a central role to play in creating a healthy dietary environment that enables populations to adopt and maintain health-promoting dietary practices. It’s well known that foods with a low glycemic load (GL) help release a concentration of glucose in the blood, These can contribute to the prevention of various glycemia-elated health problems. We aim to address an optimization model for diets in the Moroccan context that controls both glycemic load and total meal costs. The application of a multiple objective particle swarm method which aggregates the problem’s restrictions with optimized objectives functions helps maintain dietary diversity and facilitates the search for trade-offs between objectives and problem-specific requirements.
Object Knowledge Integration for Skeleton-Based Action Recognition
Authors: Moutik Oumaima , Sekkat Hiba , Ait Tchakoucht Taha , El kari Badr , El Hilali Alaoui Ahmed
Published: May 2024

3D-Skeleton-based action recognition has been widely adopted due to its efficiency and robustness to complex backgrounds. While it is capable of conveying a significant amount of information regarding the dynamics of human poses, we argue that its performance is curtailed when confronted with actions involving interactions between humans and objects due to the absence of the study of the surrounding objects. It is of great importance to delve deeper into the study of human-object interactions for skeleton-based action recognition. This paper proposes a novel approach to represent the spatial-temporal skeleton features, along with the present nearby objects and their dynamics. To accomplish this, a new formulation named object knowledge is presented, which entails the categorization of object characteristics, based on whether or not the object necessitates a motion analysis. With a piece of prior knowledge, in cases where it is required, the motion is calculated, while for those where it is not necessary, only the category of object is considered. This object knowledge is then early-fusion along with the skeleton representation, in such a way that it fits into the self-attention model. The experimental results on different popular action recognition datasets (NTU RGB+D 60, NTU RGB+ D 120 illustrate that the proposed approach outperforms the current state-of-the-art methods.
Modeling and optimization of controlled landfill gas performance using LandGEM
Authors: DRISSI EL BOUZAIDI OUISSAL , OUAZZANI KAMAR
Published: May 2024

Modeling with LandGEM offers a large field to quantify emissions from the decomposition of organic waste, consequently prediction of energy generated from gas emissions especially those of methane. Where, the simulation results makes it possible to define the reasons of malfunction concluded by comparing between the LandGEM simulation and the experimental methodology for estimation of methane gas emissions, whose offer a huge knowing, accuracy assessment, and detailed analysis to landfill site state in terms of the production of methane, the tightness, the progress of the anaerobic degradation, the existence of sulfur compound. This study accomplished in site the methane production at 80%, a tightness of 84% compared to the 100% given by LandGEM, and an hydrogen sulfide content which far exceed the recommended limit, cause of corrosion attacking especially the biogas compressor which provoke a complete shutdown to product the electrical energy. Unlike the LandGEM digital model, whose site must produce 3,145.107 m3 of methane with 100% site tightness, a hydrogen sulfide content equivalent to 40 ppm, for a production of electrical energy equivalent to 10,941.107kWh according to the year ‘2022’. To optimizing landfill gas performance, we forecast the installation of automatic analyzer sensors to anticipate of an alert for intervention, generated by accidental loss of methane in the air, infiltration of oxygen inside the lockers, disruption of the stability of the fermentation process, or existence of high sulfur contents in organic matter.
COVID-19 VACCINE UPTAKE AMONG OPULENT VS SLUMS OF URBAN SETTING IN KARACHI, PAKISTAN
Authors: Seemi Tooba , Sharif Hina , Sheikh Sana Sharif , Hashmi Muzna , Naeem Hira
Published: May 2024

Background: COVID-19 vaccine effectiveness and acceptability are critical for a number of important outcomes, including symptomatic COVID-19, severe illnesses, and COVID-19-related mortality.
Aim: To assess the immunization status regarding age, gender, and living standards and the reason for non-compliance to the Covid-19 vaccine among people of urban opulent and slums areas of a single city, i.e., Karachi, Pakistan. 
Method: This cross-sectional study was conducted from December 2022 to January 2023 in Karachi, Pakistan. Data were collected through social media websites, including WhatsApp and Facebook, telephonic interviews from opulent urban areas, and direct contact during the visit to primary health care clinics in urban slum areas. STATA software was used for data analysis.
Result: Of 1265 respondents from slums and opulent areas, 15.8% were non-vaccinated slums, whereas 14.16% belonged to opulent areas needing vaccination with adjusted OR 95% is 0.74(0.41-0.95). Of 1265 respondents, 825(65%) were females, and 440 (34.7%) were male. The vaccine compliance among females was 49%, and 32% among male respondents with adjusted OR 95% 1.84(1.12-3.03). Only 6% of the slums area were vaccinated with the required shots of vaccine (2 doses and one booster) compared to opulent areas, i.e., 20%.
Conclusion: Our research at the population level adds to the knowledge we now have from patient data and demonstrates how aggregated data from fully functioning epidemic surveillance and monitoring may provide information about the possible effects of extended COVID on national and international public health.
Outcomes, risk factors, and procedural management of acute myocardial infarction caused by stent thrombosis
Authors: Bianchini Emiliano , Bianchini Francesco , Lunardi Mattia , Zito Andrea , Romagnoli Enrico , Aurigemma Cristina , Paraggio Lazzaro , Dato Ilaria , Burzotta Francesco , Trani Carlo
Published: May 2024

Coronary stent thrombosis (ST) is a rare but severe complication of percutaneous coronary interventions (PCIs) with significant implications for patient outcomes. Despite advancements in antiplatelet medications and drug-eluting stent (DES) technology, ST remains associated with considerable morbidity and mortality. Notably, ST is an adverse event arising from various factors, including patient characteristics, stent-related issues, and procedural complications. In such a context, intravascular imaging (IVI) plays a pivotal role in assessing the underlying mechanisms and guiding treatment decisions. The use of thrombus aspiration and intracoronary antithrombotic therapies have been debated in the context of de novo acute myocardial infarction, but they could have a remarkable role for ST. However, the optimal management of ST requires individualized approaches tailored to patient-specific factors. This review provides a comprehensive analysis of the current understanding of ST, encompassing its incidence, outcomes, and risk factors, focusing on procedural acute management.
Keberadaan Objek Wisata Bahari Pulau Merak Kecil Dalam Menunjang Perekonomian Masyarakat Desa Mekarsari, Pulomerak Cilegon Banten
Authors: Humayroh Siti , Hidayat Angga Pusaka
Published: May 2024

This research is motivated by the physical condition of Indonesia which offers its own advantages for tourists. Indonesia has abundant natural wealth. These natural resources are directly related to the way society uses them to generate wealth. The tourism business, which is currently developing rapidly and has established itself as a large industry in many countries, is a driving force that influences people's income and other economic factors. There will be many benefits for the local community if the tourist attractions there are managed in the right way. The role of the Merak Kecil Island tourist attraction in improving the standard of living of the residents of Mekarsari Village, Cilegon, Banten is the main subject of this research. The community around the popular tourist destination Merak Kecil Island was used as research subjects in this study, which used qualitative research methods. Interviews, observation and documentation are the methods used in data collection. To ensure that the data collected is beyond doubt, the researcher uses source, technical, and temporal triangulation to verify the authenticity of the data. Research findings show that this tourist destination is managed locally and in line with POAC principles (planning, organizing, mobilizing and controlling). The potential of Merak Kecil Island as a tourist destination lies in its stunning sea views. The presence of the Merak Kecil Island tourist attraction in Mekarsari Village is considered to have a significant influence in increasing income levels because it provides a platform for the community to carry out various economic activities.
Persepsi Guru Terhadap Gerakan Literasi Sekolah Di Madrasah Aliyah Negeri (MAN) 1 Banjarmasin
Authors: Arliani Arliani , Rochgiyanti Rochgiyanti , Sriwati Sriwati
Published: May 2024

The School Literacy Movement (GLS) is a government program that involves reading non-textbooks for 15 minutes before learning begins. Teacher participation is needed to encourage the implementation of activities to run smoothly. As supervisors of implementing activities, teachers can undoubtedly understand the conditions for implementing activities well, so it is essential to know the teachers' perceptions. This research analyses teachers' perceptions of implementing GLS at MAN 1 Banjarmasin. The research method used is descriptive qualitative. Data collection is done through observation, interviews, and document study. Data analysis techniques use Miles and Huberman references: data collection, data reduction, data presentation, and conclusion. This research shows that teacher perceptions can be seen from the teacher's understanding of the implementation of GLS and students' literacy skills. It can be concluded that teachers' perceptions of GLS can vary depending on influencing factors. Teachers are expected to be able to provide encouragement and support through innovation to increase students' interest in reading and literacy skills.
Etnobotani dan Etnoekologi: Sebuah Perbandingan
Authors: Suryanullah Ahmad Sholehuddin , Mundofi Ahmad Asron
Published: May 2024

Ethnobotany was proposed by North American botanist John Harshberger in 1895, its emergence aimed to understand the relationship between humans and plants in the environment where they live. While ethnoecology was first introduced by the German philosopher Friedrich Ratzel in 1866, the emergence of this study aims to understand the interactions between humans and their environment. This article attempts to explain developments, review the comparison between ethnobotany and ethnoecology, and see their relevance in Indonesia. The literature study method was used in the process of compiling the narrative in this article. The results of this research show that ethnobotany and ethnoecology have similarities in data collection methods, use of the language spoken by the research subjects, and both study nature. While the difference is that ethnobotany focuses more on the study of plants and ethnoecology focuses on studying the environment, the next difference concerns the nature of objects, ethnobotany discusses living objects, while ethnoecology can discuss living and inanimate objects. Apart from that, ethnobotany and ethnoecology are very relevant when applied in Indonesia, because they can provide new alternatives for cultural studies in Indonesia.
Kegiatan Pos Pelayanan Terpadu (Posyandu) Balita dan Lansia Di Desa Karang Indah
Authors: Hidayah Noor , Handy Muhammad Rezky Noor , Mutiani Mutiani , Putra Muhammad Adhitya Hidayat , Triyono Sigit
Published: May 2024

Lack of public awareness of the importance of health by living a healthy lifestyle. Therefore, posyandu cadres in Karang Indah village can build public awareness about the importance of health and strengthen the Karang Indah village community by making it easier for people to access health services. This article describes the posyandu activities in Karang Indah Village and the various obstacles posyandu officers face in Karang Indah Village. This research uses a descriptive qualitative approach. The data collection techniques used were observation, interviews and documentation. The instrument for this research is the researcher, who creates observation and interview guidelines and determines sources. The data analysis techniques used include data reduction, data presentation and conclusions. The research results specifically explain that the posyandu program consists of primary activities, which include Maternal and Child Health, Family Planning, Preventing Polio in Children with immunizations, Monitoring Nutritional Status, and Prevention and Management of Diarrhea. The Posyandu for toddlers consists of several activities as follows: Filling out the attendance list for toddlers, measuring the weight and height of toddlers, immunizations and providing vitamins for toddlers, while the activities of the Elderly Posyandu consist of Weighing older people, checking the elderly's blood pressure, exercising the elderly's memory, and exercising for the elderly. The problem faced by Posyandu officers is the lack of facilities, which are still in a multi-purpose building in Karang Indah Village.
Synthesis of Dibenzalacetone using Sonochemistry and Its Antibacterial Activity Against Escherichia coli
Authors: Purwaningsih Yuliana , Indriyanti Erwin , Syukur Mighfar , Wigati Dyan
Published: May 2024

The synthesis of dibenzalacetone, a ketone compound with potential antibacterial properties, especially against Escherichia coli, has typically involved time-consuming methods. This study adopts sonochemistry, an increasingly popular technique recognized for its efficiency and quick yield. The aim is to synthesize dibenzalacetone using the sonochemical method and evaluate its antibacterial efficacy against E. coli. The synthesis process includes a cross-aldol condensation reaction between acetone and benzaldehyde, catalyzed by NaOH, conducted in an ultrasonic bath at 35 °C for 1-5 minutes. The optimal synthesis condition, achieved in 4 minutes, resulted in a 76.56% yield of dibenzalacetone, characterized as a bright yellow solid with a melting point of 111-114°C. Techniques such as FT-IR, GC-MS, 1H-NMR, and 13C-NMR spectrometry were employed for structural characterization. The FTIR analysis revealed various functional groups, including C=O ketone, C=C aromatic, and C-H aromatic. GC-MS data confirmed the molecular weight of dibenzalacetone at m/z 234.1. Furthermore, 1H-NMR and 13C-NMR analyses provided detailed insights into the compound's chemical shifts and structural groups, affirming the successful synthesis of dibenzalacetone. The antibacterial activity of dibenzalacetone against E. coli was tested at concentrations ranging from 5% to 20%. Notably, at a 15% concentration, dibenzalacetone exhibited antibacterial activity comparable to amoxicillin. These findings suggest that dibenzalacetone, efficiently synthesized via sonochemistry, not only achieves a high yield but also has potential as an antibacterial agent against E. coli. This research highlights the efficacy of sonochemistry for the rapid and effective synthesis of compounds with significant medical applications.
Phosphorus Analysis in Meat using UV-Vis Spectrophotometry with SnCl2 and Hydrazine Sulfate Reduction
Authors: Pratiwi Yussi , Amelia Rizky , Natasya Aulia
Published: May 2024

This study aimed to optimize phosphorus analysis in meat using a molybdenum blue reaction involving SnCl2 and hydrazine sulfate as reducing agents to establish the most effective conditions for phosphorus detection. Meat, an essential source of nutrients like phosphorus, plays a vital role in human health, particularly bone and tooth strength. However, overconsumption of phosphorus can lead to health issues such as hyperphosphatemia, making regular monitoring of phosphorus levels in food necessary. The experiment used SnCl2 and hydrazine sulfate under varying acidic conditions to produce a stable blue complex indicative of phosphorus presence. The complex exhibited maximum absorbance in the 689–729 nm wavelength range. Validation of the method showed high linearity with R2 values of 0.9983 and 0.9984 for SnCl2 and hydrazine sulfate, respectively. The molar absorptivity for SnCl2 was 2.093 x 105 L mol-1 cm-1 and 7.92 x 104 L mol-1 cm-1 for hydrazine sulfate. Detection and quantification limits were established, and the %RSD values in each sample ranged from 1.08% to 1.93%, conforming to standard requirements. Upon analysis of meat samples, including duck, chicken, and beef, the phosphorus levels did not meet the Indonesian Nutritionist Association (PERSAGI) standards. This result emphasizes the need for regular phosphorus analysis in meat products to prevent health risks associated with excessive phosphorus intake, such as hyperphosphatemia.
Biosynthesis of Poly Acrylic Acid (PAA) Modified Silver Nanoparticles, Using Basil Leaf Extract (Ocimum basilicum L.) for Heavy Metal Detection
Authors: Pratiwi Yussi , Yusmaniar Yusmaniar , Nurhasanah Nurhasanah
Published: May 2024

This study focused on characterizing synthesized silver nanoparticles (AgNPs) and evaluating their efficacy as colorimetric detectors for heavy metal ions. The synthesis employed a bottom-up approach, using AgNO3 as a precursor, reduced by secondary metabolites in basil leaf extract, enhanced with Polyacrylic acid (PAA). Basil leaves were chosen for their rich content of secondary metabolites like phytosterols, alkaloids, phenolic compounds, tannins, lignin, starch, saponins, flavonoids, terpenoids, and anthraquinones, crucial in reducing silver ions. Incorporating basil leaf extract as a bioreactor and adding PAA to increase stability and selectivity towards metal ions are innovative aspects of this research. The optimal AgNP composition was attained with a 0.7 mL basil leaf extract to 10 mL AgNO3 ratio plus 2% PAA. The AgNP formation was indicated by a color change from yellow to brownish, with a Surface Plasmon Resonance (SPR) peak at 418 nm. Characterization via Fourier Transform Infrared Spectroscopy (FTIR) revealed hydroxyl (-OH) and carbonyl (C=O) functional groups aiding in silver ion reduction. Particle Size Analysis (PSA) showed AgNPs of 72.3 nm size, with a polydispersity index of 0.504. Colorimetric detection tests were conducted on Cu(II), Pb(II), Cd(II), Zn(II), and Mn(II) ions. AgNPs exhibited high reactivity towards Cu2+, changing color from brownish to clear white within a minute upon Cu2+ addition, unlike Cd2+, Mn2+, Zn2+, and Pb2+, which showed negligible changes. This indicates a heightened sensitivity of AgNPs to Cu2+ ions. Such a colorimetric sensor could be instrumental in detecting heavy metals in drinking water, showcasing the potential application of AgNPs in environmental monitoring.
Machine Learning Approaches for In-Vehicle Failure Prognosis in Automobiles: A Review
Authors: Rasheed Rohail , Qazi Farheen , Dur e Shawar Agha  , Ahmed Aarish , Asif Alyan , Shams Hussain
Published: May 2024

The automobile industry has a growing need for reliable and safe health monitoring systems equipped with low-cost sensor networks and intelligent algorithms. This paper provides an overview of approaches already exist, used in on-board health monitoring systems for vehicles. It focuses on the methodologies, theories, and applications employed in the data measurement and data analysis systems of vehicle (cars) on-board health monitoring systems. A fault detection and diagnosis system, which is accurate, plays a vital role in ensuring the safety of autonomous vehicles by preventing potentially dangerous situations. This study focuses on emphasizing a fault diagnosis system that utilizes hybrid methods. Among the various options considered in this analysis, internal sensors emerge as the preferred choice due to their numerous benefits, including affordability, durability, widespread availability, ease of access, and low energy consumption. Model-based methods require various techniques that may introduce errors to estimation results, while signal-based methods necessitate a time-consuming process of including all possible conditions in a pre-built database. Based on this review, future development trends in designing new low-cost health monitoring systems for vehicles are also discussed.
Impact of climatic anomalies and reservoir induced seismicity on earthquake generation using Federated Learning
Authors: Tehseen Rabia , Uzma Omer  , Maham Mehr Awan  , Rubab Javaid  , Zaheer Ayesha , Yousaf Madiha
Published: May 2024

In this article, impact of climatic anomalies and artificial hydraulic loading on earthquake generation has been studied using federated learning (FL) technique and a model for the prediction of earthquake has been proposed. Federated Learning being one of the most recent techniques of machine learning (ML) guarantees that the proposed model possesses the intrinsic ability to handle all concerns related to data involving data privacy, data availability, data security, and network latency glitches involved in earthquake prediction by restricting data transmission to the network during different stages of model training. The main objective of this study is to determine the impact of artificial stresses and climatic anomalies on increase and decrease in regional seismicity. Experimental verification of proposed model has been carried out within 100 km radial area from 34.708o N, 72.5478o E in Western Himalayan region. Regional data of atmospheric temperature, air pressure, rainfall, water level of reservoir and seismicity has been collected on hourly bases from 1985 till 2022. In this research, four client stations at different points within the selected area have been established to train local models by calculating time lag correlation between multiple data parameters. These local models are transmitted to central server where global model is trained for generating earthquake alert with ten days lead time alarming a specific client that reported high correlation among all selected parameters about expected earthquake.
MLOps critical success factors - A systematic literature review
Authors: Mehmood Yasir , Sabahat Nosheen , Muhammad Arsal Ijaz
Published: May 2024

MLOps encompasses a collection of practices integrating machine learning into operational activities, a recent addition to the diverse array of machine learning process models. The need to tightly integrate machine learning with information systems operations to ensure organizational performance led to the development of this approach. Therefore, MLOps methodologies are useful for businesses that want to make their ML operations and procedures more efficient. The purpose of this study is to summarize the many critical success factors that have been identified in studies focusing on MLOps initiatives. The paper shows how these CSFs affect MLOps performance and what factors drive this influence. We picked primary papers for analysis after conducting searches in three major publishing databases. We narrowed the field down to 58 unique CSFs, which were then classified according to three dimensions: technical, organizational, social and cultural. These CSFs affect and drive performance in MLOps, based on the results of the literature review. Researchers and industrial experts may enhance their understanding of CSFs and get insights into tackling MLOps difficulties inside organizations. The paper, notably, emphasizes several prospective research directions linked to CSFs.
Revolutionizing Healthcare with Smarter AI: In-depth Exploration of Advancements, Challenges, and Future Directions
Authors: Bangash Shah Hussain , Khan IrfanUllah , Husnain Ghassan , Irfan Muhammad Abeer , Iqbal Abid
Published: May 2024

Artificial intelligence (AI) is the main branch of computer science that permits advanced machines to interpret and analyze complex healthcare data elaborating the recent challenges in the medical field of study. The current state of AI applications in healthcare is examined in this systematic literature review, with an emphasis on the technology's accomplishments, difficulties, and potential. The wide breadth of AI technologies used in healthcare settings, such as robots, computer vision, machine learning, and natural language processing, is highlighted in this review through an extensive analysis of peer-reviewed publications. It talks about how customized medicine, predictive analytics, illness detection, and treatment planning are just a few of the areas of healthcare delivery that AI-driven technologies are transforming. According to research by investment bank Goldman Sachs, 300 million full-time employees could be replaced by artificial intelligence (AI). In the US and Europe, it might replace 25% of labor duties, but it might also lead to an increase in productivity and the creation of new jobs. Additionally, it might eventually result in a 7% rise in the global annual value of products and services produced. Additionally, the paper projects that approximately 25% of all employment might be performed totally by AI and that two-thirds of jobs in the U.S. and Europe "are exposed to some degree of AI automation. "The most likely groups to be impacted by workforce automation are educated white-collar workers making up to $80,000 annually, according to research from OpenAI and the University of Pennsylvania. According to a McKinsey Global Institute study, developments in digitalization, robots, and artificial intelligence may require at least 14% of workers worldwide to change jobs by 2030.
Diving into Math Success for Discipline and Interest Propel Sixth-Graders
Authors: Arisandi Desi , Wardana Mahardika Darmawan Kusuma
Published: May 2024

This study examines the relationship between learning discipline, interest in learning, and Mathematics learning outcomes among sixth-grade students at SDN Bulang, using a quantitative correlational approach. Data collected from 35 students through questionnaires and report card assessments were analyzed using SPSS v25. Results indicate a significant correlation between learning discipline, interest in learning, and Mathematics learning outcomes, with correlation coefficients of 0.747 (p=0.003) and 0.909 (p=0.001), respectively. These findings highlight the importance of cultivating both learning discipline and interest in learning to improve Mathematics performance among sixth-grade students, suggesting implications for educational practice and policy.

 

Highlight:

Correlation: Learning discipline, interest impact Mathematics outcomes.
Quantitative study: 35 sixth graders' data analyzed using SPSS.
Emphasizes fostering discipline, interest to enhance Mathematics performance.

 
Keyword: Learning discipline, Interest in learning, Mathematics learning outcomes, Sixth-grade students, Quantitative correlational study
Mosaic Mastery Elevates Global Early Childhood Motor Skills
Authors: Al Aliya Isna Syaiyada , IFFATUR ROCMAH LULUK
Published: May 2024

This class action research investigates the efficacy of mosaic activities with loose parts materials in enhancing fine motor skills among 5-6-year-old children at TK Dharma Wanita Persatuan Anggaswangi. Utilizing observation, interviews, and documentation, the study conducted three cycles of research, observing a significant improvement from 52.8% to 82.4% in children's fine motor skills. These findings highlight the effectiveness of incorporating mosaic activities with loose parts materials in early childhood education, offering insights for educators and curriculum developers aiming to enrich motor skills development in young learners.
Highlight:

Novel Method: Enhancing fine motor skills through engaging mosaic activities.
Substantial Growth: Children exhibit significant improvement in fine motor skills.
Educational Relevance: Insights for integrating effective motor skill activities in curricula.

Keywoard: Fine Motor Skills, Mosaic Activities, Loose Parts Materials, Early Childhood Education, Class Action Research.
Evaluating OPEN-MURDER Scenario Impact on Vocational Education
Authors: Permadani Nahdia Putri , SRI UNTARI RAHMANIA
Published: May 2024

This study investigates the impact of the OPEN-MURDER scenario on the learning outcomes of 36 Software Engineering program students in Vocational Schools (SMK). Utilizing a quasi-experimental design, pretest-posttest assessments were conducted to measure learning outcomes before and after implementing OPEN-MURDER, focusing on mood, understanding, recall, digest, expand, and review. Results show a significant improvement, with pretest scores averaging 71.72 and posttest scores 89.53 (p < 0.05). The findings underscore OPEN-MURDER's positive influence on SMK students' learning outcomes, suggesting its potential as an effective teaching model to enhance motivation, problem-solving skills, and classroom engagement. Future research could explore comparative analyses with control groups and encourage educators to adopt OPEN-MURDER for innovative teaching practices.
Highlight:

OPEN-MURDER Evaluation: Assesses impact on vocational students' learning outcomes.
Experimental Design: Utilizes pretest-posttest method to measure effectiveness.
Positive Influence: Shows significant improvement in student learning outcomes post-implementation.

Keywoard: Open-Murder Scenario, Learning Outcomes, Vocational Schools, Quasi-Experimental Design, Teaching Model.
Folding Fun Boosts Early Childhood Fine Motor Skills Globally
Authors: Oktavia Hanifa Prisma , Destiana Evie
Published: May 2024

This study investigates the efficacy of folding activities to enhance fine motor skills in Group A children at RA An Nur Kedung Jumputrejo Sukodono Sidoarjo, utilizing Classroom Action Research (CAR) with the Kemmis and McTaggart models. Fourteen children (9 boys, 5 girls) participated in Pre Cycle, Cycle 1, and Cycle 2 interventions, with data collected via observation, documentation, and interviews. Results show a remarkable improvement from a baseline fine motor skill percentage of 35% in Pre Cycle to 95% in Cycle 2, surpassing the 75% success indicator. These findings underscore the effectiveness of folding activities in early childhood education and provide valuable insights for educators aiming to enhance motor skill development in young learners.
 
Highlight: 

Improved fine motor skills through folding activities.
Utilization of Classroom Action Research for systematic intervention.
Valuable insights for educators enhancing motor skills in young learners.

 
Keyword:  Fine motor skills, Folding activities, Classroom Action Research, Early childhood education, Motor skill development
FAKTOR –FAKTOR YANG MEMPENGARUHI STATUS GIZI PADA REMAJA PUTRI DI DESA KARANG ANYAR, KECAMATAN JATI AGUNG
Authors: Wijaya Sofyan Musyabiq , Komala Ramadhana , Nasution Syahrul Hamidi , Febriyani Wiwi
Published: May 2024

Latar Belakang: Pada masa remaja, kecenderungan untuk memilih makanan yang tidak sehat dan perilaku makan yang tidak teratur dapat berdampak negatif pada kesehatan dan status gizi. Salah satu perilaku makan yang sering terjadi pada remaja adalah meal skipping atau melewatkan waktu makan. Tujuan:  mengetahui factor-faktor yang berhubungan dengan status gizi pada remaja putri.  Metode: Penelitian ini menggunakan desain cross sectional. Waktu Penelitian ini adalah 6 bulan, yaitu mulai April hingga Oktober 2023. Penelitian ini dilaksanakan di Desa Karang Anyar, Lampung Selatan. Populasi kasus dalam penelitian ini adalah semua Remaja Putri yang bersekolah di SMA dan sederajat di Karang Anyar. Pengambilan sampel menggunakan stratified random sampling. Analisis yang digunakan dalam penelitian ini adalah analisis chi square. Jumlah sampel yang ikut dalam penelitian ini berjumlah 25 orang dari rumus Lemeshow. Hasil: Indeks Massa Tubuh kurang 13 orang (52%)  dan normal 12 orang (48%). Berdasarkan pengujian yang telah dilakukan(p <0,05) sedangkan untuk kelengkapan jenis makanan, kebiasaan jajan, pengetahuan,  dan gangguan makan tidak mempengaruhi status gizi remaja putri (p > 0,05). Simpulan: penelitian ini menjelaskan bahwa terdapat hubungan antara tingkat pendidikan dan kebiasaan diet terhadap status gizi, serta tidak adanya hubungan antara jenis makanan, kebiasaan makan, dan gangguan makan terhadap status gizi remaja putri di Karang Anyar.
IDENTIFIKASI NILAI GIZI, POTENSI MANFAAT, DAN MAKNA KEBERKAHAN DAGING KAMBING RAS JAWA RANDU
Authors: Hardiansyah Angga
Published: May 2024

Penelitian ini bertujuan untuk mengidentifikasi nilai gizi pada daging kambing ras Jawa randu dan mengkaji potensi manfaat dan keberkahannya. Desain penelitian ini adalah eksperimental dan kajian literatur. Bahan baku daging Kambing diperoleh dari Peternakan Juragan Kambing, Desa Karangsari, Kecamatan Sulang, Kabupaten Rembang. Analisis nilai gizi meliputi kadar air (gravimetri), lemak (Soxhlet), kolesterol dan asam lemak trans (Gas Chromatography), protein (kjeldahl) , karbohidrat (by difference), dan abu (pengabuan kering) (Nielsen, 2010). Analisis nilai gizi dilakukan di Laboratorium PT. Saraswanti Indo Genetech. Hasil penelitian ini menunjukkan bahwa di dalam 100 gram daging kambing terdapat kadar air 76,8 gram, protein 21,02 gram, lemak total 0,52 gram, karbohidrat 0,82 gram, abu 0,85 gram, lemak trans 0 mg, kolesterol 27,74 mg, dan zat besi 3,32 mg. Berdasarkan hasil penelitian, daging kambing memiliki beberapa manfaat dilihat dari kandungan gizinya dan dapat mencirikan arti keberkahan yang ada pada kambing. Pada konsumsi yang sesuai anjuran dan tidak melebihi Batasan, konsumsi daging kambing tidak menaikan tekanan darah atau meningkatkan kolesterol di dalam tubuh.
A feasibility pilot study testing a new transition of care model from hospital to the community for Hispanic/Latino adults with diabetes to reduce emergency department visits and hospital re-admissions.
Authors: Esteve Lucy , Padilla Blanca Iris , Pichardo-Lowden Ariana , Granados Isa , Carlson Scott , Corsino Leonor
Published: May 2024

Background: Hispanic/Latino populations have the second highest prevalence of diabetes (12.5%) among ethnic minority groups in the USA. They also have higher rates of uncontrolled diabetes and diabetes-related complications. Approximately 29% of diabetes care costs are attributed to inpatient hospital care. To reduce hospital length of stay and re-admission rates for diabetes, the American Diabetes Association (ADA) recommends a “structured discharge plan tailored to the individual patient with diabetes”. However, limited research exists on the feasibility and applicability of a transition of care model specifically tailored for the Hispanic/Latino population.Methods: We conducted a 2-year pilot feasibility study to develop a practical, patient-centered, and culturally competent transition of care (TOC) model for Hispanic/Latino adults with diabetes discharged from the hospital to the community. Feasibility outcomes included recruitment rates, questionnaire completion rates, adherence to a 30-day post-discharge phone call, and resource needs and utilization for study implementation. Participant-centered outcomes included 30-day post-discharge Emergency Department (ED) visits, 30-day post-discharge unplanned readmissions, follow-up visits within two weeks of discharge, and patient satisfaction with the TOC model.Results: Twelve participants were enrolled over the study period, with weekly enrollment ranging from 0 to 4 participants. Participants’ average age in years was 47 (± 11.6); the majority were male (85%), and 75% had type 2 diabetes. Recruitment involved the support of 4 bilingual staff. The estimated time to review the chart, approach participants, obtain informed consent, complete questionnaires, and provide discharge instructions was approximately 2.5 hours. Of the 10 participants who completed the 30-day post-discharge phone call, none had ED visits or unplanned hospital readmissions within 30 days post-discharge, and all had a follow-up with a medical provider within two weeks.Conclusions: Implementing a patient-centered and culturally competent TOC model for Hispanic/Latino adults with diabetes discharged from the hospital to the community is feasible when considering key resources for success. These include a bilingual team with dedicated and funded time, alignment with existing discharge process and integration into the Electronic Medical Records (EMR) systems.