bluuebunny/crossref_metadata_2025 huggingface dataset:
ADOPTION OF IMPROVED PRODUCTION TECHNOLOGIES AMONG RICE FARMERS IN WASE LOCAL GOVERNMENT AREA OF PLATEAU STATE, NIGERIA
Authors: Vihi Samuel Keghter , Jesse Birma , Tanko Philip Karik , Selzing Peter Musa , Sulaiman Jamila Khamis
Published: September 2024

This study assessed adoption of improved production technologies among rice farmers’ in Wase Local Government Areas of Plateau State, Nigeria. Multistage sampling technique was used in the selection of 160 respondents for the study. Descriptive statistics, four point Likert scale and Logit regression were used to achieve the objectives of the study. Findings from the study revealed the mean age of the farmers to be 40years. Majority (67%) of the respondents were males and 91% of them married.  44% of the respondents had secondary education and a mean farming experience of 8 years. Majority (64%) of the respondents had farming as their major occupation on average farm sizes of 1.6 hectares. The mean annual income of the farmers was N 202,356. Improved rice production technologies such as appropriate time of harvesting (3.44), land preparation by tractors (3.42), recommended time of weeding (3.41), appropriate planting dates (3.25), use of herbicides (3.24), improved seed varieties (3.11),  application of recommended fertilizer (3.05), nursery practice and transplanting (2.73) all had high levels of awareness and adoption respectively among the farmers. Age, educational status, farming experience, farm size, extension contact and annual income were significant determinant of adoption of improved rice production technologies. High cost of technology (69%), inadequate extension contact (61%) inadequate credit access (48%) and lack of accessibility of some technologies (28.0) were the major constraints affecting adoption of improved rice production technologies. The study recommended the subsidization of inputs (improved seeds, fertilizers and agro-chemicals) by government to reduce cost of production.
GALAMSEY'S GRIP: UNRAVELLING THE IMPACT OF ILLEGAL SMALL-SCALE MINING ON COCOA FARMING AND LIVELIHOODS
Authors: Appiah Sylvia Kyerewaa , Osei Collins , Amankwah Kwadwo , Tham-Agyekum Enoch Kwame , Bakang John-Eudes Andivi , Ankuyi Fred
Published: September 2024

The encroachment of small-scale mining (galamsey) on fertile lands poses a significant threat to cocoa cultivation, affecting farmers' livelihoods and raising concerns about environmental sustainability. This study addresses the complex interaction between small-scale mining and cocoa farming. Conducted in the Bosome Freho district, Ashanti Region, the study employs a quantitative research design, utilizing a survey method with 316 cocoa farmers affected by galamsey. Descriptive statistics, including frequency and percentages, are applied to analyze data. Factors driving cocoa farmers to participate in galamsey include perceived profitability, low cocoa yields, high maintenance costs, and reduced cocoa prices. The perceived impact of galamsey on livelihood outcomes reveals concerns about environmental degradation, reduced farm output, soil fertility decline, and health and safety risks. Livelihood strategies employed include on-farm practices like intercropping and livestock rearing. Galamsey poses multifaceted challenges to cocoa farmers, affecting not only their livelihoods but also the environment and socioeconomic activities. The study highlights the need for comprehensive policies addressing the complex interplay between mining and agriculture, safeguarding environmental sustainability and farmers' well-being. The findings inform policymakers of the urgent need for stricter regulations, environmental safeguards, and diversified livelihood options for cocoa farmers.
STUDY ON THE DEVELOPMENT STRATEGY OF ALOE VERA PROCESSED PRODUCTS (A CASE STUDY OF SRI REJEKI URBAN FARMING GROUP, CIPTOMULYO VILLAGE, SUKUN SUBDISTRIC, MALANG CITY)
Authors: Muhammad Miqdad , Shiddieqy Firman Ash , Meitasari Deny , Laili Fitrotul , Angelika Miranda Aurelia
Published: September 2024

This study aims to formulate a business development strategy as well as determine the alternative approach that should be prioritized by the Sri Rejeki urban farming group in Ciptomulyo Village, Sukun Subdistrict, Malang City, which is fostered by PT Pertamina Patra Niaga FT Malang through the Corporate Social Responsibility (CSR) program. Sri Rejeki urban farming group is active in aloe vera development from production to processed products. Primary data for this study was gathered through Focus Group Discussions (FGD) with group members and interviews with the Head of the Ciptomulyo village. The study employs a qualitative methodology. Strength, Weakness, Opportunity, and Threat (SWOT) analysis, the IE matrix, the IFAS and EFAS matrices, and the Quantitative Strategy Planning Matrix (QSPM) are all used in the analysis process. According to the IE matrix, the Sri Rejeki urban farming group is in cell V (Hold and Maintain). Based on the SWOT analysis, 9 potential strategies were determined. According to the QSPM matrix, the urban farming organization Sri Rejeki should emphasize Strategy 2, creating processed aloe vera goods for the Malang City souvenir market and branding products through social media, with a total TS score of 5.11. The implementation of this plan is projected to benefit both the local economy and the well-being of group members. Aside from that, it is intended that the outcomes of this study would become a basis for decision-making for groups, stakeholders, and partners to develop and prioritize mentoring programs, as well as support the sustainability of the CSR program by PT Pertamina Patra Niaga FT Malang for the urban farming group Sri Rejeki.
As provas de aferição e a epistemologia da Educação Física
Authors: Miranda e Silva Nuno José , Dinis e Silva Sónia Marisa Pereira Dinis e Silva
Published: September 2024

Em Portugal, as provas de aferição foram introduzidas na disciplina de Educação Física com o objetivo de fornecer informações que levem a melhores aprendizagens, o que se traduz em conhecimento novo posto à disposição dos agentes e, por isso, tem implicações na epistemologia da disciplina. Contudo, esse processo está a decorrer sem escrutínio científico, o que é relevante, porque sabemos que as avaliações externas das aprendizagens podem ter efeitos imprevistos e levar a discursos de autoridade ideológica sobre a escola. Assim sendo, importa questionar sobre quais são os discursos que justificam as provas de aferição, qual é a validade e confiabilidade das provas; e quais são as interações entre o conhecimento oferecido pelas provas e as práticas letivas. Para responder, foi implementada uma investigação, inscrita no paradigma interpretativo, na modalidade de estudo de caso instrumental e com abordagem qualitativa, com recurso a análise documental e a análise de conteúdo. Os resultados sugerem que as provas de aferição são implementadas, também, com objetivos de controlo das práticas de Educação Física no 1.º ciclo, de valorização social da disciplina e medem uma parte diminuída das aprendizagens dos alunos, através de processos muito pouco confiáveis. Ainda assim, os resultados são usados para influenciar a generalidade do processo de ensino, o que traduz encobrimento curricular. Conclui-se que as provas suportam a metamorfose epistemológica da Educação Física, do cuidado para o clínico, do sentido para o dever, do jogo para a repetição e da coevolução para a linearidade.
Gemoy and Samsul: How The Propaganda Won The 2024 Indonesian Election
Authors: Sam Aisyah , Yusuf Raidah Intizar , Rahayu Pramudita Budi
Published: September 2024

This study aims to determine the forms of political buzzer propaganda ahead of the 2024 election on Twitter/X. The research method used is a qualitative approach using content analysis and the type of data used is secondary data in the form of tweets or uploads that themed the 2024 presidential election.  The data was inputted manually using Microsoft Excel and then analyzed systematically using the SPSS 25 program. The chi square test result is .001, which means that there are significant differences between candidates in the forms of propaganda. Tweets discussing Prabowo-Gibran were the most propaganda-laden which included name calling, transfer, testimonial, card stacking, and bandwagon, with the exception of plain folks, which is propaganda that shows the efforts of the presidential and vice presidential candidates' closeness to the public, in this category, candidate pair number three, namely Ganjar-Mahfud, is significantly higher than other candidate pairs, and gliterring generalities, namely propaganda with positive connotations on the presidential and vice presidential candidate pairs being discussed, in this case candidate pair number one Anies Imin is significantly higher than other pairs. Name-calling was the most significantly utilized in tweets discussing Prabowo-Gibran, compared to other form of propaganda in tweets discussing the other two candidate pairs. This highlighted the importance of spinning the unfavorable attributes to become a favorable one.
Technology Integration in Learning: Understanding of Life Value by Students in MARS Film
Authors: Cholimah Nur , Arifiyanti Nurul , Maharani Oktaviana , Agustiningsih Rini
Published: September 2024

The integration of technology in learning through film can increase students understanding of life values, which will be important for an educator. This paper aims to describe the understanding of life value by students in the MARS Film. It is quantitative research with an open survey method. Researchers distributed questionnaires to 93 students and used descriptive analysis. The results showed the value of life that the students can find in the film are hard work and fighting spirit. As parents, the value of life that can be learned is to support dreams by providing the best education and motivation. It also found that moral values can be learned is persistence and respect. This Film is recommended for learning because it can inspire and motivate the importance of education.
Rewitalizacja i odnowa wsi w województwie mazowieckim – zmiany w podejściu gmin do prowadzenia procesów naprawczych po uchwaleniu ustawy o rewitalizacji
Authors: Kucharska Agata , Piwowarczyk Dariusz , Żurawicka Paulina
Published: September 2024

W artykule przeanalizowano prowadzone przez gminy województwa mazowieckiego procesy naprawcze (rewitalizacji i odnowy wsi) w latach 2004–2022, na tle zmieniających się uwarunkowań krajowych (przyjęcie ustawy z dnia 9 października 2015 r. o rewitalizacji) oraz polityki spójności i wspólnej polityki rolnej UE. W tym celu przeprowadzono badanie ankietowe, skierowane do samorządów gminnych, uzupełnione analizą danych zastanych. Przedmiotowe badanie pozwoliło na pozyskanie informacji na temat: liczby uchwalonych programów rewitalizacji i planów odnowy miejscowości, typów obszarów na których koncentrują się działania naprawcze i ich głównych problemach, charakteru wdrażanych działań (ich kompleksowości i komplementarności), a także najważniejszych zrealizowanych przedsięwzięciach rewitalizacyjnych i inwestycji z zakresu odnowy wsi oraz wielkości przyznanego dofinansowania unijnego na przedmiotowe działania i efektów ich wykonywania. Słowa kluczowe: rewitalizacja, odnowa wsi, działania naprawcze, programy krajowe, regionalne programy operacyjne, dotacje unijne, województwo mazowieckie
Status of Azoospermia in Saudi Arabia: A Retrospective Narrative Mini-Review
Authors: Alzahrani Meshari A. , Alghafees Mohammad A. , Aldosari Lama H. , Almaymuni Abdulaziz K. , Altalhah Abdulltaif M. , Abualgasem Mohammed M. , Hakami Basel O.
Published: September 2024

The total lack of spermatozoa in the ejaculate is known as Azoospermia. It is the most severe and significant contributor to male infertility. Therefore, the purpose of this study is to assess the status of Azoospermia and its etiologic factors that contribute to male infertility in Saudi Arabia. This study included all published studies written in English that were published in Saudi Arabia. Online searches via PubMed and Google Scholar were conducted from their inception to 15 January 2023. A total of 624 studies were found and reviewed, of which only 57 were eligible for the review. Studies were eligible if they provided the prevalence of infertility in Saudi Arabia. A total of 57 articles reported cases diagnosed with male infertility were identified with a sample size of (n = 9441), and only nine studies reported patients diagnosed with Azoospermia. Retrospectively, from our review, the reported cases of Azoospermia in Saudi Arabia are (n = 1030) between 1989-2022. The Klinefelter syndrome was reported in 46 cases and only 9 cases with Y-chromosome microdeletion. A total of 6 studies reported cases of non‐obstructive Azoospermia (NOA) (n = 843). Among NOA cases, three studies reported sperm retrieval rates (SRR) were 43.9%, 44.3%, and 47.2%, respectively; the most common histology pattern was Sertoli cell-only (SCO) (n = 120). A total of 3 studies reported cases of obstructive Azoospermia (OA) (n = 187); the most common cause of OA was a history of a genital infection (n = 90). After the microsurgical intervention, two studies reported overall patency rates of 37.3% and 59%, respectively, and three studies reported overall paternity rates of 6%, 10.4 and 36%, respectively. Azoospermia reporting is low in Saudi Arabia. Estimates of male infertility are crucial in helping governments and healthcare decision-makers implement the right social and economic policies. A nationwide azoospermia registry in Saudi Arabia is recommended.
Breaking Barriers: A Reliable Method for RNA Extraction in Zebrafish Neurodegenerative Research
Authors: Dara Mahintaj , Karimi Zahra , Dianatpour Mehdi , Aligholi Hadi
Published: September 2024

Zebrafish (Danio rerio) is a vertebrate with unique characteristics, making it an excellent biomedical research animal model. One research area involves investigating changes in gene expression during neurodegenerative processes, aging-related changes, and behavioral studies in zebrafish. To achieve this, high-quality and quantity RNA must be extracted from zebrafish. This study aims to develop an optimized RNA extraction method from zebrafish larvae brains. After rearing and maintaining the zebrafish in suitable conditions, the larvae were separated, and their brains were extracted. Using an optimized TRIzol-based method, RNA was extracted from the zebrafish larvae's brains. For comparison, we also employed commercial kits and Trizol for RNA extraction. The quantity and quality of the extracted RNA were measured using NanoDrop, gel electrophoresis, and real-time PCR. We selected five genes: gapdh and beta-actin as housekeeping genes and three other genes expressed in the brain and nervous system (bdnf, chd8, and lrp6). According to NanoDrop results, all samples were purified with minimal protein and polysaccharide contamination, and the 260/280 ratio and 260/230 ratio fell within the standard range of 1.9-2.2. The amount of extracted RNA significantly increased compared to other methods (P value < 0.0001), and all the studied genes exhibited high expression. RNA extraction demonstrated both high quality and quantity. In summary, we have developed an optimized method for RNA extraction from the brains of zebrafish larvae.
متطلبات التعليم المحاسبي في ظل تطبيق تقنيات الذكاء الأصطناعي من وجهة نظر أعضاء هيئة التدريس في الجامعات العراقية
Authors: Ghani Naz Hiwa , Abdulrazaq Munadhil Abduljabar
Published: September 2024

تسعى الدراسة الى تحديد متطلبات التعليم المحاسبي في ظل تطبيق تقنيات الذكاء الأصطناعي. لتحقيق هذا الهدف تم تصميم استبانة كأداة لجمع البيانات وتم توزيعها على عينة من أعضاء هيئة التدريس في الجامعات العراقية وجامعات اقليم كوردستان العراق من المختصين في المجال المحاسبي. وتوصلت الدراسة الى عدة نتائج من أهمها ان تطبيق تقنيات الذكاء الاصطناعي في بيئة التعليم المحاسبي تؤثر على واقع التعليم المحاسبي وتعمل على تطويره وتحسين جودته، بحيث ان تطبيقه تعمل على توفير تجارب تعليمية تناسب امكانات الطلبة وتعمل على ارشادهم بما يحقق من تحقيق نقلة نوعية في مجال التعليم بصورة عامة والمحاسبي بصورة خاصة. كما يساعد التطبيق الموضوعي لتقنيات الذكاء الاصطناعي وادخالها في مجال التعليم المحاسبي على تجاوز الصعوبات والمعوقات والاثار السلبية التي تكتنف هذا النوع من التعليم ويمكن ذلك من خلال توفير بيئة تعليمية مناسبة تتجاوز تلك المعوقات والاثار. بالأضافة الى انه يزيد من قدرة العنصر البشري على تحقيق غايات نقل المعارف والعلوم الى حيز التطبيق وخدمة متطلبات سوق العمل. وأوصت الدراسة بمجموعة من التوصيات منها، بضرورة تهيئة الكادر التعليمي والعمل على رفع مهاراته بما يؤمن امتلاك القدرة على التعامل مع التطورات التكنولوجية وادخالها في مجالات التعليم المحاسبي لتامين امكانية تطبيق الذكاء الاصطناعي في التعليم المحاسبي، كذلك البدء بالخطوة الاهم نحو ادخال تقنيات الذكاء الاصطناعي في مجال التعليم المحاسبي من خلال تحديث المناهج الدراسية واساليب وطرق التدريس المحاسبي والمستلزمات الاخرى التي تلائم هذا التحول الهام.
Clinical Decision Support and Natural Language Processing in Medicine: Systematic Literature Review
Authors: Eguia Hans , Sánchez-Bocanegra Carlos Luis , Vinciarelli Franco , Alvarez-Lopez Fernando , Saigí-Rubió Francesc
Published: September 2024

Background

Ensuring access to accurate and verified information is essential for effective patient treatment and diagnosis. Although health workers rely on the internet for clinical data, there is a need for a more streamlined approach.

Objective

This systematic review aims to assess the current state of artificial intelligence (AI) and natural language processing (NLP) techniques in health care to identify their potential use in electronic health records and automated information searches.

Methods

A search was conducted in the PubMed, Embase, ScienceDirect, Scopus, and Web of Science online databases for articles published between January 2000 and April 2023. The only inclusion criteria were (1) original research articles and studies on the application of AI-based medical clinical decision support using NLP techniques and (2) publications in English. A Critical Appraisal Skills Programme tool was used to assess the quality of the studies.

Results

The search yielded 707 articles, from which 26 studies were included (24 original articles and 2 systematic reviews). Of the evaluated articles, 21 (81%) explained the use of NLP as a source of data collection, 18 (69%) used electronic health records as a data source, and a further 8 (31%) were based on clinical data. Only 5 (19%) of the articles showed the use of combined strategies for NLP to obtain clinical data. In total, 16 (62%) articles presented stand-alone data review algorithms. Other studies (n=9, 35%) showed that the clinical decision support system alternative was also a way of displaying the information obtained for immediate clinical use.

Conclusions

The use of NLP engines can effectively improve clinical decision systems’ accuracy, while biphasic tools combining AI algorithms and human criteria may optimize clinical diagnosis and treatment flows.

Trial Registration

PROSPERO CRD42022373386; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=373386
CIRCONOMY: An IoT-based Waste Management Model with Semantic Web and Gamification Approach (An Indonesia Case Study) (Preprint)
Authors: Tundjungsari Vitri , Putranto Bambang  Purnomosidi Dwi , Ulum M Bahrul , Anwar Nizirwan
Published: September 2024

BACKGROUND

The global waste problem is becoming more complex due to the increasing amount and volume of waste that a country cannot manage. Indonesia is one of the developing countries that has experienced this problem.

OBJECTIVE

This research proposes a model called Circonomy, which seeks to address waste management and enhance the circular economy in Indonesia. Our model, Circonomy, is inspired by the Waste Bank, which is regulated by Indonesian government regulations as one of the community-based waste management initiatives. This model comprises IoT-based components integrated with mobile and web applications, with a semantic web and gamification approach. Our research has contribution by proposing a model to enhance waste management and encourage users to reduce, reuse, and recycle waste (3Rs of waste management) by providing incentive schemas using IoT technology, Semantic Web, and Gamification.

METHODS

Design Research and Science Methodology is used to build the prototype as model implementation, which consists of six main activities, i.e.: (1) Problem Identification, (2) Solution Proposal, (3) Prototyping, (4) Evaluation, and (5) Statement of Learning, and (6) Communications.

RESULTS

The prototype has the main features of automatically weighing and recording waste collection using a load cell, motor servo, and ultrasonic sensor. The data obtained from the sensor is then sent to Wifi ESP 32, recorded at mobile and web applications, and presented at LED as bin status information. We have tested and evaluated our model in terms of technology and approach. There are some limitations to the accuracy of our smart bin’s detection related to the occupancy of the bin. The position of the ultrasonic sensor determines the accuracy of the bin’s occupancy calculation since not all the waste has the exact dimensions. Therefore, the placement and viewpoint of the ultrasonic sensor on the bin are crucial. However, we discover that the gamification approach is promising to be embedded in our model and prototype by adopting its concepts, such as points, rewards, and leaderboards.

CONCLUSIONS

There is much to be done for our future works by adding more features from gamification concept, such as challenges and badges. The semantic web should be optimized through linked data to our gamification approach to connect and motivate all the stakeholders in waste management and circular economy activities.

CLINICALTRIAL
AI-Driven Digital FaceDefender：A Novel Solution for Privacy Protection and Auxiliary Ocular Diagnosis (Preprint)
Authors: Tan Haizhu , Chen Hongyu , Wang Zhenmao , He Mingguang , Wei Chiyu , Sun Lei , Wang Xueqin , Shi Danli , Huang Chengcheng , Guo Anping
Published: September 2024

BACKGROUND

Facial biometric data, despite commercial value, poses significant privacy and security concerns.

OBJECTIVE

To address these concerns and support auxiliary diagnoses, we developed Digital FaceDefender, an AI-driven solution.

METHODS

To ensure privacy protection, we generated a diverse set of virtual Asian-face avatars representing both genders, spanning ages from 5 to 85 years in 10-year increments, utilizing 70,000 facial images and 13,061 Asian faces images. Landmark data were separately extracted from both the preprocessed patient images and the avatar images to accurately delineate the eye region. Affine transformations were applied to align the eye regions for image fusion, followed by color correction and Gaussian blur to enhance the quality of the finally fused images. For auxiliary diagnosis, we established 95% confidence intervals (CIs) for pixel distances within the eye region on a cohort of 1,163 individuals, serving as diagnostic benchmarks. Reidentification risks were assessed using ArcFace on 2,500 Detailed Expression Capture and Animation (DECA)-reconstructed images. Finally, Cohen’s Kappa analyses, conducted on 114 individuals, were used to evaluate the agreement between these diagnostic benchmarks and ophthalmologists' assessments.

RESULTS

Compared to traditional method, Digital FaceDefender significantly enhances privacy protection while maintaining essential ocular diagnostic features. Similarity score and Rank-1 accuracy analyses further confirm its efficacy in minimiznig reidentification risks across various facial poses. The Cohen's Kappa results indicate excellent agreement between the developed diagnostic benchmarks and ophthalmologists' assessments. The convenient Digital FaceDefender platform is established and accessible.

CONCLUSIONS

In summary, Digital FaceDefender offers a robust solution for safeguarding privacy while supporting auxiliary diagnoses in ocular disease.
Experiences and Perceptions of Developing Prediabetes Awareness and Participating in the National Diabetes Prevention Program among Hispanic adults: Qualitative Study (Preprint)
Authors: Joiner Kevin , Adams Mackenzie , Minehan Edith Beltrán , O'Brien Matthew J
Published: September 2024

BACKGROUND

Prediabetes conveys an increased risk for subsequently developing type 2 diabetes (T2D). The National Diabetes Prevention Program (DPP) is a widely available intensive behavioral intervention that decreases the risk for developing T2D in adults with prediabetes. Data is needed to inform approaches to increase prediabetes awareness and National DPP participation. Only a few studies have explored experiences and perceptions of prediabetes diagnosis and National DPP participation, and no studies have focused on Hispanic adults with prediabetes.

OBJECTIVE

The study seeks to explore experiences and perceptions of developing prediabetes awareness and participating in the National DPP among US Hispanic adults.

METHODS

The sample was recruited from participants in the National DPP as implemented in Spanish by a community-based organization in the upper Midwest. Semi-structured interviews were conducted by telephone in April and May 2021. A descriptive approach to qualitative analysis was used. Data from the interviews were reviewed, coded, and integrated into themes to reflect the narratives elicited in the interviews.

RESULTS

The study sample (n=16), with a mean age of 46±6 years, was predominantly female (94%) and Mexican American (94%). Qualitative analysis resulted in the emergence of four main themes: (a) Processing the news of having prediabetes, (b) Deciding on treatment for T2D primary prevention, (c) Valuing language and cultural congruence in the National DPP, and (d) Appreciating action-oriented knowledge gained during National DPP participation.

CONCLUSIONS

The findings can be used to inform approaches to increase prediabetes awareness and National DPP participation among US Hispanic adults with prediabetes.
Attenuation of TNF-α and Iron Levels in Renal Hemosiderosis by Phaleria macrocarpa (Scheff.) Boerl Extract in a Rat Iron Overload Model
Authors: Heriatmo Nadia Larasinta , Estuningtyas Ari , Soetikno Vivian , Poerwaningsih Ernie H. , Kusmardi Kusmardi
Published: September 2024

Regular blood transfusions are typically used to treat the genetic anemia known as thalassemia, which can lead to an increase in the body's total iron levels. The condition of excess iron can be toxic to the body due to the formation of free radicals that are harmful and can damage cells and tissues. So the availability of free iron will form the basis of iron toxicity because it accelerates the Fenton reaction to produce an increase in the amount of ROS that cannot be suppressed so that saturation of the antioxidant system can occur. Excess iron has been known to be a risk factor for organ dysfunction and damage that results in various organ diseases such as liver, heart and kidney, diabetes mellitus, and neurodegenerative diseases. Mangiferin is an active compound has been shown to act as an iron chelating agent by forming complexes with iron. The complex formed can reduce iron accumulation in thalassemia patients who receive blood transfusions on a regular basis. Mahkota Dewa (Phaleria macrocarpa) is a well-known medicinal plant native to Papua, Indonesia, and it also includes the active ingredient mangiferin. This study aims to determine the effectiveness of the ethanolic extract of Phaleria macrocarpa fruit as an iron chelating agent observed in the kidneys in a rat model of excess iron
Las desigualdades y sus consecuencias
Authors: Fortoul van der Goes Teresa I.
Published: September 2024

In front of economic and social inequalities in our country, a call to arms is urging. Reducing inequality requires transformative change, so it is necessary intensify efforts in the fight against extreme poverty and hunger, especially from the early stages of development, and to work to guarantee a dignified life. This means that economic and social policies must be universal and serve the most disadvantaged and marginalized first.
Defecto del tubo neural: encefalocele occipital. Reporte de caso
Authors: Santiago-Sanabria Leopoldo , Morales-Martínez Oscar Guillermo , Alonso-León Marco-César , Sanabria-Villegas Luz del Carmen , Sánchez-Alquicira Bernardo , Ignacio-García Melissa Gretel
Published: September 2024

Encephalocele is a rare congenital malformation of the central nervous system. The prevalence is estimated to be about 1 in 5,000-40,000 live births. It can involve different anatomical sites such as the occipital, frontal, temporal, and parietal regions.
The fourth and fifth weeks of embryological development are essential for the development of the head and neck. When there is a failure in the separation of the superficial ectoderm from the neuroectoderm, neural tube defects appear, where encephaloceles can originate. Genetically it can be explained by the dysembryological theory, which involves certain mutated genes that interfere with important celular mechanisms in early neuronal development. Currently, thanks to prenatal screening tools such as ultrasound, it is possible to identify them from intrauterine life. It is extremely important to make an early diagnosis to establish protocols and provide individualized treatment, where a multidisciplinary team will be involved. Even though some cases are usually compatible with life, the expected prognosis of the anatomical site involved, as well as timely surgical management. Among the most important sequelae is the intellectual deficit. Keywords: Encephalocele; prenatal diagnosis; congenital malformations; neural tube; prognosis
Desigualdad social, pobreza y mortalidad infantil en México (2010-2020)
Authors: Bravo-García Enrique
Published: September 2024

Mexico faces deep inequalities: the richest 10% concéntrate 57.4% of the country's income and 78.7% of its wealth, while the poorest 50% have access to barely 9.2% of the income and lack significant wealth. Social inequality and poverty are closely related. Although inequality is not the only cause of poverty, it plays a significant role in perpetuating it. Addressing social inequality is essential to effectively combat poverty and build more equitable and fair societies. The infant mortality rate (IMR) is a key indicator, strongly influenced by structural factors such as poverty, which reflects avoidable, unnecessary and premature deaths, which can be prevented through individual and collective actions. The relationship between poverty and child health is well recognized, as poverty is associated with the worst outcomes in child health, particularly in infant mortality. In 2020, the distribution of infant mortality among the Mexican states was remarkably heterogeneous, with rates ranging from 6.1 to 20.5 deaths per 1,000 births. The Pearson correlation coefficient between the IMR and the percentage of people living in extreme poverty (r = 0.550), educational gap (r = 0.530), lack of access to health services (r = 0.547); and people with 3 or more social deficiencies (r = 0.520) was high and statistically significant; but the IMR is also moderately associated with poverty (r = 0.494) and lack of social security (r = 0.494). The nine entities with high or very high rates of infant mortality and extreme poverty were Chiapas, Guerrero, Mexico, Michoacán, Puebla, Oaxaca, Tabasco, Tlaxcala, and Yucatán.
Advancements in Cancer Treatment: A Review of Emerging Therapies and Innovations
Authors: Gupta Abhishek
Published: September 2024

Cancer remains a leading cause of mortality worldwide, with millions of new cases diagnosed annually. Over the past few decades, significant strides have been made in understanding the disease's molecular basis, leading to innovative treatment strategies that offer improved outcomes for many cancer types. This review highlights the most notable advancements in cancer treatment, focusing on immunotherapy, targeted therapies, personalized medicine, and emerging approaches such as nanotechnology and gene editing. These therapies promise not only to improve survival rates but also to reduce the side effects commonly associated with traditional cancer treatments.
Enhancing Supply Chain Resilience through Emerging Technologies: A Holistic Approach to Digital Transformation
Authors: Vadigicherla Madhusudan Sharma
Published: September 2024

This article investigates the critical role of domain knowledge in enhancing the effectiveness and accuracy of data analysis across various industries. Through a comprehensive examination of case studies in finance, healthcare, and retail sectors, we demonstrate how industry-specific expertise significantly improves data interpretation, metric selection, and the derivation of actionable insights. The article highlights the synergistic relationship between technical, analytical skills and a deep understanding of industry contexts, revealing that domain experts are better positioned to identify meaningful patterns, develop accurate predictive models, and generate more relevant insights for stakeholders. We provide practical strategies for data analysts to acquire and integrate domain knowledge into their analytical practices, including collaboration with subject matter experts, targeted industry research, and participation in sector-specific training. The article also explores challenges such as potential biases, balancing generalist and specialist skills, and keeping pace with rapidly evolving industries. Furthermore, we examine future directions, including the role of AI and machine learning in augmenting domain expertise and the emergence of new interdisciplinary approaches and industry-specific tools. Our findings have significant implications for both aspiring data analysts seeking to specialize in specific industries and organizations aiming to optimize their analytical capabilities in an increasingly complex data landscape.
Bridging the Talent Divide: An Empirical Analysis of Certification Programs as a Tool for Strategic Workforce Development
Authors: Rajasekaran Priyesh
Published: September 2024

In the face of persistent talent shortages in high-demand fields, organizations are increasingly turning to certification programs as a strategic tool for talent acquisition and development. This article investigates the efficacy of such programs in addressing critical skill gaps, focusing on their design, implementation, and measurable impact on workforce dynamics. Through a mixed-methods approach combining case studies from three industry-leading organizations and a large-scale survey of HR professionals (n=500), we analyze the key components of successful certification initiatives and their effects on recruitment metrics, including time-to-hire, quality of new hires, and long-term retention. Our findings reveal that well-designed certification programs can significantly reduce recruitment costs by up to 35% while improving the quality of new hires by 28% compared to traditional recruitment methods. Moreover, we identify best practices in program design, including the integration of cutting-edge learning technologies and alignment with organizational needs. This article contributes to the growing body of literature on strategic talent management by providing empirical evidence of the value of certification programs and offering a framework for their effective implementation in addressing skill shortages in rapidly evolving industries
The Role of Sustainable Construction Management in Enhancing Environmental, Economic, and Social Outcomes: A Comprehensive Analysis of Benefits in Modern Building Practices
Authors: Mishara Susil Kumar
Published: September 2024

Sustainability in construction projects is a topic that is widely studied and discussed today from the academic, research and industrial fields. In this research, sustainable development is understood as that that manages to satisfy present needs without assuming the future risk of a generation, in compliance with the requirements of that current binding need. This development has been seen from the perspective of the sustainable triad, its application being imperative in the economic, environmental and social dimensions, which is widely accepted today Now, sustainability in construction projects has evolved towards the integration of management of the project. The research concerned the well implementation of sustainable practices in construction. The outcome of the study is to understand much about sustainability because the people-those being the clients, government agencies, and construction companies-are not clear about it. They do not follow the sustainability rules properly and the laws and building codes are quite weak.
The Role of Business Analysts in Optimizing HCM Systems: A Study of Post-Implementation Support Effectiveness
Authors: Vanam Sharath Chandra
Published: September 2024

Abstract: This article investigates the effectiveness of Business Analysts (BAs) in the post-implementation phase of Human Capital Management (HCM) systems, aiming to develop a comprehensive framework for measuring BA performance and its impact on system optimization and user satisfaction. Employing a mixed-methods approach, the article combines quantitative analysis of key performance indicators (KPIs) such as response time, issue resolution rate, and system performance metrics with qualitative insights from case studies and user surveys. The article examines 150 BAs across 25 organizations, revealing that BAs who effectively balance technical expertise with strong communication skills contribute significantly to sustained HCM system success. Findings indicate that proactive BA involvement in user training and continuous system improvement correlates with a 30% increase in user satisfaction and a 25% reduction in system-related issues. The article culminates in a novel effectiveness measurement framework and recommendations for enhancing BA performance in post-implementation support, offering valuable insights for organizations seeking to optimize their HCM systems and maximize the value of their BA roles.
Comparison of Air Fare Prediction Using Various Machine Learning Techniques
Authors: Dendukuri Lakshmi Srinivas
Published: September 2024

Due to a rise in air service links globally, air travel is now a popular, significant, and faster form of transportation. Airline rates are thought to be impacted by several factors and are subject to frequent fluctuation, making estimation of these rates a challenging but essential task. The airline uses a pricing structure for the plane ticket. The cost of airline tickets varies based on the time of day, according to the survey. Even the weekends, the tourist season, and the pageant season have an impact on this. An aircraft ticket's price is influenced by several different elements. The buyer only has access to a limited amount of information, which is truly insufficient to estimate flight pricing, but the seller is aware of all the requirements. In this study, we use machine learning regression approaches such as K Nearest Neighbourhood, Decision Tree, and Random Forest to estimate flight fares based on basic data including source, destination, departure time and date, arrival timings, halts, and airline type. The results of the investigation show that the Random Forest Regression Model yields extremely optimal results.
Effect of Structured Teaching Programme on Knowledge regarding Preconception Care among Reproductive women under Mukalmua Block PHC, Nalbari district, Assam
Authors: Begum Aisha
Published: September 2024

Background: Preconception care is a set of interventions that aim to identify and modify biomedical, behavioral, and social risks to a woman’s health or pregnancy outcome through prevention and management. The main goal of preconception care is to provide health promotion, screening and interventions for women of reproductive age to reduce the risk factor that might affect future pregnancies. Methodology: The research approach used for the study was quantitative evaluative research approach. The conceptual framework for the study was based on ‘General Systems Theory’ developed by Ludwig von Bertalanffy and modified by JW Kenny. A pre-experimental one-group pre-test post-test research design was used to evaluate the knowledge regarding preconception care among reproductive women. Multistage random sampling technique was used to select 60 reproductive women. Structured interview schedule was used to evaluate the knowledge regarding preconception care among reproductive women. Descriptive and inferential statistics were used to analyze the study data. Result: Findings revealed that out of 60 reproductive women; in the pre-test, majority 39(65%) of the participants had moderately adequate knowledge; 16(26.7%) of the participants had inadequate knowledge and only 5(8.3%) of the participants had adequate knowledge whereas in post-test, majority 53(88.3%) of the participants had adequate knowledge, only 7 (11.7%) had moderately adequate knowledge and none of them had inadequate knowledge regarding preconception care. The mean posttest knowledge scores 18.40 was significantly higher than the mean pre-test knowledge score 8.37 with mean difference 10.03 and 't' value 26.69 for df 59 at p< 0.05 level of significance. Socio-demographic variables such as educational status and use of contraceptive methods were found to be statistically significant at p<0.05 with pre-test level of knowledge regarding preconception care among reproductive women.
The Role of API Security in Modern Enterprise Platforms
Authors: Vovveti Pavan
Published: September 2024

This article explores the critical role of API security in modern enterprise platforms, addressing the growing importance of protecting Application Programming Interfaces (APIs) as they become increasingly central to digital ecosystems. We examine the fundamental challenges organizations face in securing their APIs, including authentication, data encryption, rate limiting, and version management. The paper presents a comprehensive overview of best practices for API security, such as implementing OAuth and token-based authentication, utilizing Transport Layer Security (TLS), deploying API gateways, and conducting regular audits. We discuss implementation strategies that integrate security throughout the API development lifecycle and highlight the importance of developer training. Through case studies, we illustrate both successful API security implementations and lessons learned from security breaches. The article also looks ahead to future trends in API security, considering the impact of emerging technologies like AI and quantum computing, as well as the evolving threat landscape. By providing a thorough analysis of current practices and future directions, this paper aims to equip organizations with the knowledge needed to develop robust, secure, and scalable API infrastructures that can support innovation while protecting critical data and resources in an increasingly interconnected digital world.
Implementation of STEAM and Thematic Learning Models Assisted by STEMATIK Learning Media in Elementary School
Authors: Hazima Atika Azzahro , Prasetyo Eko , Annisa Aulia Hanif , Maryanti Ranti
Published: September 2024

Learning is not only about giving theories, but instilling concepts is more important to teach to students. One of the concepts instilled in mathematics, namely the arithmetic material of addition and subtraction for elementary school. STEMATIK learning media supports students' understanding in introducing the arithmetic concepts of addition and subtraction for lower elementary school classes. This research aimed to explain the component analysis of integrating STEAM and thematic learning using STEMATIK learning media, to describe the importance of using learning media in enhancing students’ independence and motivation to learn, and to present the results of using STEMATIK learning media as a tool for learning mathematics.  The research method employed was a quasi-experiment. Quantitative data analysis was conducted to analyze the data collected from the research instrument, including validation instruments by two experts in the form of learning media feasibility instruments and pretest and posttest assessment results on 31 elementary school students on the control group and the experimental group. The validity test used T-test by SPSS application. The product development process was based on the ADDIE model, a systematic approach that includes five stages: analysis, design, development, implementation, and evaluation. The method used in this research was the descriptive, qualitative and quantitative method. The research results show that for the validity test the increase in knowledge scores significantly using the T test with the SPSS application produces two sides of less than 0.001. The level of student learning independence is good, achieving a score of 68,14, which according to the category is considered good. The percentage for the student learning motivation category falls into the high criterion. The result of these indicators shows a score of 83, which is categorized as high.
Effect of Kinesthetic Learning on Students’ Interest and Achievement in Mathematics
Authors: Abah Joshua , Chinaka Taurayi Willard , Ogbiji Emmanuel Ogar
Published: September 2024

One of the pertinent reasons for poor academic achievement in Mathematics is fundamentally linked to the application of ineffective teaching methods by teachers to impact knowledge to learners. This study adopts a quasi-experimental pre-test post-test research design to examine the efficacy of kinesthetic learning on interest and achievement in Mathematics. Four research questions were raised to guide the study and four hypotheses were formulated and tested at 0.05 level of significance. The sample comprises 101 Junior Secondary School students drawn from two secondary schools in Bekwarra Local Government Area of Cross River State, Nigeria. Two intact classes were randomly selected from each school and assigned to experimental and control group. Data for the study were sourced using a modified Mathematics Interest Inventory (MII) and mathematics achievement test designed by the researchers tagged Students’ Mathematics Achievement Test (SMAT). Data collected were analyzed using mean, standard deviation and Analysis of Covariance (ANCOVA). The findings revealed a high post-test interest cluster mean of 3.10 (above the decision benchmark of 2.50) and also a higher post-test mean achievement score with (Mean = 20.82; Standard Deviation = 3.63) for students in the experimental group compared to the control group. The result also indicated that both male and female students taught mathematics using kinesthetic learning in the experimental group had positive interest and achievement after exposure to the treatment. The test of the hypotheses indicated that there is significant difference in interest and achievement between students taught mathematics using kinesthetic learning and conventional method, whereas there is no significant difference on the interest and achievement of male and female students taught mathematics using kinesthetic learning. The study concluded that kinesthetic learning has a positive effect on interest and achievement in mathematics; and that gender is not a sole determinant of good academic performance or interest in mathematics but teaching method. The study recommended that mathematics teachers should adopt kinesthetic learning or play way method in teaching because of its relevance in improving learners’ interest and achievement.