bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors influencing the allocative efficiency of the small-scale tomato (Lycopersicum species) production in Kaduna state, Nigeria: implications for food security and resource management
Authors:   University of Abuja, Nigeria, ALABI Olugbenga , ALUWONG Jeremiah ,   School of Agricultural Technology, Nuhu Bamali Polytechnic, Zaria, Nigeria, ATTEH Paul ,   Federal University of Lafia, Nigeria, DIRISU Herbert ,   Manufacturers Association of Nigeria, Nigeria, YUSUF Fadhilat ,   National Space Research and Development Agency (NASRDA), Abuja, Nigeria, POPOOLA Luqman ,   National Biotechnology Development Agency, Abuja, Nigeria, AGADA Levi ,   National Space Research and Development Agency (NASRDA), Abuja, Nigeria, HARUNA Ojuh ,   Prince Abubakar Audu University, Anyigba, Nigeria
Published: June 2024

This study evaluated factors influencing the allocative efficiency of the small-scale tomato (Lycopersicum species) production in Kaduna State, Nigeria: implications for food security and resource management. A multi-stage sampling technique was used to select 120 small-scale tomato farmers. The data from primary sources was collected with the help of a well-structured and well-designed questionnaire. This data was analyzed using descriptive and inferential statistics. The result indicates that the mean age of the small-scale tomato resource farmers is 46 years old; the mean household size of the respondents is 7 persons, while the mean resource farm size is 1.17 ha. The minimum and the maximum allocative efficiency scores of the tomato farmers are 0.30 and 0.93 respectively. The results of the profitability analysis indicate that the tomato production is profitable with a gross margin and a net farm income of N550, 960 per ha and N497, 190 respectively. The gross margin and operating ratios are 0.69 and 0.28 respectively. The resource inputs and socio-economic factors influencing the allocative efficiency of tomato production are the following: age, farm size, household size, gender, marital status, level of education, access to extension services, and membership in a cooperative organization. The study recommends that farmers should be provided with the following resource inputs: improved seeds, chemicals, fertilizer inputs, credit facilities and extension services in order to reduce resource wastages, increase efficiency and productivity. Keywords: allocative efficiency, small-scale tomato production, resource management, food security, Kaduna State, Nigeria
Wilson’s disease
Authors: Svetel Marina , Kresojevic Nikola , Tomic Aleksandra , Jecmenica-Lukic Milica , Markovic Vladana , Stankovic Iva , Petrovic Igor , Pekmezovic Tatjana , Novakovic Ivana , Bozic Marija , Svetel Marko , Vitkovic Jelena , Dragasevic Natasa
Published: June 2024

Wilson?s disease (WD) is an autosomal recessive inherited disorder of copper metabolism caused by mutations in the ATP7B gene, which is located on chromosome 13q14.3. The global genetic prevalence of WD at birth is approximately 13.9?15.4 per 100,000 population. Although WD is a rare condition associated with treatment efficacy, mortality rates in patients with WD (5?6.1%) are higher than healthy controls. Prevalent features of WD include hepatic, neurologic, and psychiatric syndromes, even though various signs and symptoms of the disease have been depicted to this point. If diagnosed and treated at an early stage, WD patients would likely improve and be often largely asymptomatic for the rest of their lives. Prompt diagnosis and lifelong treatment substantially affect outcome. We aimed to summarize current knowledge about WD epidemiology, genetics, clinical manifestations, diagnostic workup, and current WD management.
Posterior single implants immediately loaded using one abutment at one time and temporary abutment in the posterior mandible without bone augmentation: A report on six-month outcomes data obtained from a prospective randomized controlled split-mouth clinical trial
Authors: Markovic Jovana , Todorovic Ana , Ilic Branislav , Markovic Aleksa , Zivanovic Tanja , Veljkovic Kristina , Milinkovic Iva
Published: June 2024

Background/Aim. Given that frequent manipulation of the abutment during
immediate loading can have a negative impact on the surrounding peri-implant
hard and soft tissues, the concept ?one abutment at one time? (OAO) has been
introduced and documented in daily clinical practice. The aim of the study
was to evaluate changes in peri-implant bone levels, clinical and
radiographic parameters, and patient perspectives during the six-month
follow-up period. Methods. The study was designed as a randomized controlled
clinical trial. Patients with bilaterally healed sites in the posterior
mandible received implants with a diameter of no less than 3.5 mm and a
length of at least 8 mm. Based on randomization, patients were divided into
a test group and a control group. Patients who were in the test group
received implants that were immediately loaded with definitive abutments. In
contrast, patients in the control group received implants where healing
abutments were placed, followed by temporary abutments. Implants were
immediately loaded with provisional restorations within the first seven
days. They were delivered over the test group?s definitive abutment and the
control group?s temporary abutment. Probing depth, bleeding on probing,
clinical attachment level, plaque index, and keratinized tissue width were
measured. Patient-Reported Outcome Measures and the Oral Health Impact
Profile - 19 (OHIP-19) questionnaires were noted. Results. Out of 24
included patients, 22 completed the six-month follow-up. Peri-implant bone
loss between study groups was comparable (mesial: t = -0.798, df = 21, p =
0.434; distal: t = 1.688, df = 21, p = 0.106), without statistical
inter-group significance. OHIP-19 total scores significantly decreased after
three months and remained similar six months after the implant placement in
both groups without statistically relevant clinical inter-group changes.
Conclusion. The OAO approach and provisional abutments showed comparable
effectiveness regarding the immediate loading of posterior single implants.
La prevención y su incidencia en el consumo de drogas en adolescentes Distrito 10D02 2021-2022
Authors:   Investigador Independiente, Andrade Tirado Santiago Alfonso , Pibaque Tigua María Consuelo ,   Investigador Independiente
Published: June 2024

En la actualidad se destina una cantidad alta de recursos hacia programas de prevención de consumo de drogas en adolescentes, sin conocer si estos realmente están dando resultado, mediante la presente investigación, se pretende determinar, las estrategias y acciones de prevención aplicadas en las Instituciones Educativas hacia los adolescentes y padres de familia, y cómo estas influyen en la reducción del consumo de drogas en la población determinada y dentro de un marco de tiempo propuesto. Esto, a través del establecimiento de la metodología utilizada en los programas de prevención, relacionando con la edad de inicio de consumo en los adolescentes, la incidencia en la reducción de la frecuencia de consumo ya sea de alcohol u otras drogas, y por último, la incidencia en las problemáticas psicosociales como violencia, falta de cumplimiento a las normas y reglas institucionales, deserción y ausentismo escolar, y otras ligadas al consumo continuo y nocivo. Para lograr estos objetivos propuestos, se emplea el método inductivo de investigación, donde si bien la naturaleza de la información es cualitativa, será necesario para su análisis un enfoque cuali-cuantitativo. Los resultados revelaron un mínimo uso de los programas de prevención como medidas de acción y mayor uso de talleres y charlas, donde el inicio de consumo predomina entre 11 a 12 años, esto sugiere una clara ausencia de eficiencia de las acciones utilizadas actualmente y se insta a realizar investigaciones para obtener resultados que representen la población estudiantil ecuatoriana y no solo el distrito 10D02.
Pertinencia y rediseño curricular en la carrera de licenciatura en pedagogía de las artes y humanidades: Un estudio de caso en la Universidad Nacional de Chimborazo
Authors:   Investigador Independiente, Tigse Díaz Edison Fabián , Herrera Latorre Paulo David ,   Investigador Independiente, Garcés Viteri Lenin Miguel ,   Investigador Independiente
Published: June 2024

El presente artículo aborda la pertinencia del rediseño curricular de la carrera de Licenciatura en Pedagogía de las Artes y Humanidades en la Universidad Nacional de Chimborazo (UNACH). En el contexto de la educación superior, es esencial que los programas académicos se adapten a las demandas socioeconómicas y del mercado laboral. El objetivo de este estudio es evaluar la pertinencia del nuevo currículo en términos de su capacidad para satisfacer las demandas del mercado laboral y las expectativas de los estudiantes. La metodología adoptada es cualitativa, complementada con técnicas cuantitativas. Se realizaron encuestas a 366 estudiantes de tercer año de bachillerato y entrevistas con profesionales del ámbito artístico para obtener una visión comprensiva sobre la percepción del rediseño curricular. Los resultados indican una percepción positiva del nuevo plan de estudios. El 100% de los estudiantes percibe un aporte significativo al desarrollo artístico. Además, tanto estudiantes como profesionales evalúan positivamente el desarrollo de competencias en gestión cultural, habilidades pedagógicas y técnicas en artes. El impacto de las TICs en el aprendizaje es también valorado positivamente, facilitando el aprendizaje y preparando a los estudiantes para un mercado laboral digitalizado. Por lo que se concluye que el rediseño curricular de la carrera de Licenciatura en Pedagogía de las Artes y Humanidades en la UNACH es pertinente y efectivo, respondiendo a las demandas del mercado laboral y las necesidades sociales, aunque se identifican áreas de mejora como la vinculación con el sector laboral y la actualización continua del currículo.
Study of Morphometric Analysis of Foramen Transversarium and Uncinate Process and Clinical Relevance in Typical Cervical Vertebrae
Authors: S Kaur
Published: June 2024

The foramen transversarium differentiates the cervical vertebrae from the other vertebrae of the spinal column. From the first part of the subclavian artery, the vertebral artery arises and passes through the foramen transversarium. FT protects the vertebral artery. The medial boundary of the luschka joint is a safe sight to protect the vertebral artery. The Uncovertebral Joint, also known as the Luschka Joint, is a joint that was formed by the Uncinate Process between the cervical vertebra bodies. These joints form the medial border of an intervertebral foramen in the cervical area below C-2 and are rarely found on the first thoracic vertebra. The present study was carried out on 100 dry human typical cervical vertebrae of unknown age and sex to determine the morphometric dimensions of FT and Uncinate Process in typical cervical vertebrae. The dimensions were taken by the digital vernier caliper on the superior aspect of the FT and Uncinate Process. The length and width of the FT were more on the left side than on the right side which was statistically insignificant (p-value >0.05). The narrow FTs were also observed in the present study. The mean difference between the Right and Left sides of the Uncinate Process was statistically not significant (p-value>0.05).
Earth Observations, Digital Footprints and Machine-Learning: Greenhouse Gas Stocktaking for Climate Change Mitigation
Authors: Maliehe Keneuoe , Goulding James , Alam Salim , Marsh Stuart
Published: June 2024

Introduction & BackgroundMethane (CH4) is a powerful greenhouse gas, leaving both a physical and digital footprint from natural (40%) and human (60%) sources. Its atmospheric concentration has increased from 722 ppb before the industrial age to ~1,922 ppb in recent times. Because of its global warming potential, measuring and monitoring CH4 is crucial to mitigating the impacts of climate change. However, large uncertainties exist in “bottom-up” inventories (a product of activity data based on counts of components, equipment or throughput, and estimates of gas-loss rates per unit of activity for different land uses) reported to the United Nations Framework Convention on Climate Change, making it difficult for policymakers to set emission reduction targets.
To address this, we employ causality-constrained machine learning (ML) to combine different gas observations from satellite sensors onboard the TROPOspheric Monitoring Instrument (which measure a digital footprint of human methane-generating behaviour) with outputs from chemical modelling. These are linked with datasets from the national statistics office, meteorology office and a comprehensive survey on quality of life in the emission field, to improve bottom-up estimates of CH4 emissions at the Earth’s surface.
Objectives & ApproachThe research uses mixed methods for collecting and analysing both qualitative and quantitative data for multidisciplinary processing strategies for monitoring CH4 emissions locally and regionally. It also assesses whether additional “digital footprint” variables besides the well-known chemical sources and sinks can be studied to improve our understanding of the CH4 budget.
We have conducted an “analytical inversion” of satellite observations of CH4 to obtain emission fluxes. These represent the dependent variable for our ML model, in combination with 22 independent variables (co-occurring trace gases, meteorological fields, land use, land cover, population, livestock, and data from a survey of quality of life from the Gauteng City-Region Observatory, covering a broad range of socio-economic, personal and political issues) with near-real-time Earth observation data, to aid the development of a causality-constrained ML model for the prediction of CH4 fluxes.
Relevance to Digital FootprintsWe make use of not only satellite imagery, but socio-economic, demographic, and environmental data, and repurpose it for environmental sustainability in the context of mitigating climate change. We are creating unique resources in documenting rapid changes in emissions.
Conclusions & ImplicationsThis research will make important contributions to developing countries with limited resources, enabling them to contribute to the global stocktake towards net-zero by helping policymakers identify geographic regions that are major emitters, enabling them to put measures into place to mitigate emissions.
Foodinsecurity.london: Developing a food-insecurity prevalence map for London - a machine learning from food-sharing footprints
Authors: Milligan Gregor , Nica-Avram Georgiana , Harvey John , Goulding James
Published: June 2024

Introduction & BackgroundThe ability of policymakers to positively transform food environments requires robust empirical evidence that can inform decisions. At present, there is limited data on food-insecurity in the UK that can be used to inform interventions by local authorities, due to the prohibitive costs and logistical challenges of administering longitudinal surveys. This study builds on existing research and a key pilot study developed in partnership between Olio - a food-sharing app with 7 million registered users as of 2023, the University of Nottingham and Havering Council in 2020, which resulted in the world’s first map prototype of food-insecurity.
Objectives & ApproachOur approach leverages Machine Learning methods applied to unprecedented food-acquisition behavioural data and open area-level deprivation statistics to model and predict individuals' experience of food-insecurity across London. We used Olio’s extensive network of users to distribute 2,849 surveys, asking respondents across London about their experiences of food-insecurity. The survey was distributed online, adapting the US Department of Agriculture Food Security module. Respondents were asked about their experiences, including (1) eating smaller meals or skipping meals, (2) being hungry but being unable to eat, and (3) not eating for a whole day, because they could not afford food or because they could not get access to food. Using the household, rather than the individual-level version of the food insecurity module helped shed light on the experience of vulnerable groups - such as children.
Relevance to Digital FootprintsThe survey responses provided a ground truth about users' experiences of destitution. Deprivation metrics and digital footprint data in the form of food-acquisition behavioural data were then used in a Random Forests Machine Learning model to predict whether households were experiencing food-insecurity, achieving high accuracy. Food-sharing data from almost 50,000 London-based users active on Olio’s platform were then used to identify relevant food-seeking behaviours and aggregate recognised instances of food-insecurity at neighbourhood (MSOA) level.
Conclusions & ImplicationsTo identify and rank relevant socio-demographics and food-seeking behaviours most informative for describing food-insecurity an extensive variable selection analysis was performed. The resulting SHAP (SHapley Additive exPlanations) values showed that a combination of food solicitation and the general deprivation of an area were important predictors of food-insecurity.
Augmenting Surveys with Social Media Data: A Probabilistic Framework for LinkedIn Data Linkage.
Authors: Matos Serodio Paulo , Al Baghal Tarek , Sloan Luke , Liu Shujun , Jessop Curtis
Published: June 2024

Introduction & BackgroundLinkedIn, with its extensive global network of over 900 million members across more than 200 countries, presents a unique repository for examining labour market dynamics, professional development, and the impact of social networking on employment opportunities. Despite its potential, LinkedIn's wealth of data on professional trajectories, skills, and labour market outcomes remains largely untapped in survey research due to challenges in data collection.
Objectives & ApproachThis paper introduces a novel methodology for integrating LinkedIn data with survey responses using data from the fourteenth wave of the Innovation Panel (IP14) of Understanding Society: The UK Household Longitudinal Study (UKHLS), conducted in 2021. In IP14, we probed the extent of LinkedIn usage among the UK population and assessed users' willingness to link their LinkedIn profiles with their survey responses. Those consenting to link their accounts were asked for specific details — namely their first and last names, employer, and job title — to enable profile identification on LinkedIn. Faced with the unavailability of a unique platform identifier and the cessation of LinkedIn’s API, this information was crucial for matching profiles accurately.
We crafted a framework using PhantomBuster for ethical data extraction and a probabilistic string-matching technique to ensure precise linkage between survey responses and LinkedIn profiles. PhantomBuster, a cloud-based tool, efficiently scrapes dynamic content using JavaScript in a headless browser environment, sidestepping IP-related restrictions while adhering to website terms of service. It streamlines the data collection process. Identified profiles were subjected to an iterative probabilistic string matching, using respondent-provided metadata alongside supplementary data, to maximize the accuracy of matching the profiles to our survey participants.
Relevance to Digital FootprintsThe described method advances digital footprint research in data collection and linkage. It automates the retrieval of vast online data sets; compiles information efficiently in an organized format; saves time and labour by mechanizing monotonous tasks; circumvents platform-imposed IP restrictions; and imposes fewer barriers to entry as it requires less technical skill than other scraping tools like Selenium.
Conclusions & ImplicationsThis approach not only facilitates the precise identification and collection of LinkedIn profile data but also sets a precedent for ethical considerations in web scraping practices. By documenting this methodology, we aim to equip researchers with a scalable and replicable tool for future studies, enriching the analysis of labour market outcomes and the interplay between formal education, informal training, and professional success through the integration of LinkedIn and survey data.
The dynamics of emotion expression on Twitter and mental health in a UK longitudinal study
Authors: Joinson Daniel , Davis Oliver , Simpson Edwin
Published: June 2024

Introduction & BackgroundAn estimated 4.95 billion people used social media in 2023, with the average user active on around seven platforms for over two hours per day. This widespread use leads to abundant digital footprint data around interactions with social media. These data can be collected continuously and reflect real behaviour of users in naturalistic settings. These strengths have led researchers to propose the use of social media data in digital phenotyping, where digital footprints can be used to quantify and predict health conditions. Mental health assessment in particular could benefit, as existing approaches, such as self-report questionnaires and inpatient assessment, are unable to perform the real-time monitoring that digital phenotyping could potentially achieve.
Digital phenotyping models for mental health require careful consideration of what aspects of social media data to include. Including all data users generate could result in models that are overfitted and difficult to explain. Studies are required that explore the relationship between specific aspects of social media data, such as the time course of expressed emotion, and gold-standard measures of mental health.
Objectives & ApproachWith participants’ consent, we linked Twitter data to self-reported measures of mental health from the Avon Longitudinal Study of Parents and Children. We performed sentiment analysis using three different approaches—LIWC, VADER and RoBERTa—to estimate the amount, variability and instability of positive and negative emotional content in each participant’s Tweets over a one-year period. We explored the association between these measures of emotion expression and self-reported scores of depressive symptoms, anxiety symptoms and wellbeing. These mental health measures are the Short Mood and Feelings Questionnaire, the Generalized Anxiety 7 and the Warwick Edinburgh Mental Wellbeing Scale.
Relevance to Digital FootprintsOur research is highly relevant to digital footprint research, as it involves the use of digital footprint data (i.e. Twitter data) to predict mental health outcomes.
Conclusions & ImplicationsThe results of our analysis will inform the development of digital footprint based phenotyping for mental health that could one day provide information to supplement clinical assessments.
Beyond the Classroom: A Comprehensive Analysis of Teacher Personality Competence, Parenting Styles, and Their Joint Influence on the Character Formation in Junior High School Education
Authors: Rakhmah Rafika , Niron Maria Dominika , Jha Gautam Kumar
Published: June 2024

The formation of students' character is crucial in today's educational landscape for advancing the nation's character. Several factors affecting the formation of students' character include the personality competence of teachers and parental upbringing patterns. This research aims to determine the effect of a teacher's personality competence and parenting styles on the formation of students' character. This study was quantitative research conducted using a survey method. This research population used students from two junior high schools in Sungai Loban District, Tanah Bumbu Regency. The sampling technique used nonprobability sampling with type purposive random sampling. The sample used in this research consisted of 150 students. The sampling technique used was random sampling. Data analysis techniques included descriptive data analysis, data prerequisite testing, and multiple linear regression analysis. The research results indicate a positive and significant effect between teachers' personality competence and parenting styles on forming students' character, resulting in 38.4%. It suggests that the better the teacher's personality competence and the parenting styles implemented by parents, the better the students' character formation.
Metodologia focada na ordem de reação química a partir de uma problemática de desenvolvimento de habilidades e competências discentes e docentes
Authors: Costa Júnior José Pinheiro da , Barreto Saul Rodrigo da Costa , Almeida Júnior Deusarino Oliveira Almeida Júnior
Published: June 2024

Este trabalho apresenta uma proposta de investigação-ação da prática docente seguindo uma metodologia de pesquisa qualitativa documental e aplicando a Teoria Antropológica do Didático e a teoria de aprendizagem significativa à Cinética Química, currículo presente no Ensino Médio brasileiro. Nesse âmbito de prática, desenvolver uma metodologia facilitadora de cálculo de ordens de reação elevando os protagonismos dos participantes nos gerou questões a serem respondidas: qual o impacto de uma metodologia focada na ordem de reação química a partir de uma problemática cujo intuito é desenvolver habilidades e competências que proporcionam a formação de docentes e discentes provocando uma mudança de postura ante as problemáticas socioambientais? Foram identificadas muitas supressões no saber sábio e poucas criações didáticas inerentes à experimentação e ao processo de modelagem matemática nas literaturas pesquisadas. Porém, neste trabalho, foi respeitado o tempo de ensino em relação ao conteúdo e ao tempo de aprendizagem dos aprendizes, sendo que a estratégia se mostrou eficaz nos âmbitos significativos, de transposição e da praxeologia adotada.
SÍNDROME DE BURNOUT E O SETOR PÚBLICO
Authors: Manganelo Souza Matheus , Cappellari Gabriela , Goularte Jeferson Luís Lopes , Lopes da Silva Mygre , Vanderlei Cassanego Junior Paulo
Published: June 2024

A presente pesquisa tem como objetivo compreender os elementos potencialmente desencadeadores da Síndrome de Burnout, segundo a percepção dos profissionais atuantes Serviço de Atendimento Especializado (SAE) no município de Santana do Livramento/RS, Brasil. Desenvolveu-se uma pesquisa aplicada, abordagem qualitativa, de caráter descritiva, realizada com seis profissionais que atuam diariamente na única unidade do SAE em Santana do Livramento. Os dados foram coletados por meio de entrevista com o roteiro semiestruturado e analisados pela técnica análise de conteúdo. Os achados da pesquisa em relação as dimensões de Burnout demonstram que referente à exaustão emocional o nível de incidência de sintomas é baixo, quase que inexistente. Já quanto a despersonalização o nível de incidência é baixo devido a poucas situações de estresse e a um ótimo relacionamento entre as profissionais do local. E, no que diz respeito a baixa realização do trabalho, os resultados sugerem satisfação por parte dos entrevistados, devido à valorização que recebem principalmente por parte dos pacientes. Acerca do contexto verificou-se boas condições para o desenvolvimento do trabalho e o ambiente laboral é seguro e harmonioso. Neste sentido, nossos resultados sugerem a inexistência de doença laboral.
A Hybrid Model for Detecting Intrusions on Network Logs
Authors: Musa Martha Ozohu , Victor-Ime Temitope
Published: June 2024

The presence of malicious traffic presents a substantial risk to network systems and the integrity of confidential information. Organisations may enhance their protection against threats and mitigate the possible impact of malicious traffic on their networks by maintaining vigilance, deploying comprehensive security measures, and cultivating a cybersecurity-aware culture. The purpose of this study is to propose a theoretical framework for identifying and analysing potentially harmful network traffic within a network system. In order to identify and classify various types of malicious network traffic in a multi-class setting, we employed a dataset consisting of nine distinct categories of network system attacks. In order to optimise the performance of the model, an exploratory data analysis is conducted on the dataset. Exploratory data analysis (EDA) was employed to assess various aspects like the presence of missing values, correlation among characteristics, data imbalance, and identification of significant features. The findings derived from the exploratory data analysis indicate that the dataset exhibits an imbalance, which, if left unaddressed, may result in overfitting. The data imbalance was addressed with the implementation of the RandomOverSampling approach in Python, which involved executing random oversampling. Following the resolution of the data imbalance, a random forest classifier was employed to extract significant features from the dataset. In this study, a total of ten characteristics were extracted based on the ranking provided by the random forest model. The features that were extracted were utilised in the training process of the suggested model, which aims to identify and detect malicious activity within a network system. The findings of the model indicate a much improved level of accuracy in identifying malicious traffic within a network system, with an accuracy rate of 99.99%. Furthermore, the precision, recall, and F1-score metrics also demonstrate a consistent accuracy rate of 99.99%.
Exploring Prospective Preschool Teachers’ Argumentation Skills on the Greenhouse Effect
Authors: Zarkadis Nikolaos , Papageorgiou George
Published: June 2024

The purpose of this study is to explore the degree to which prospective preschool teachers can develop arguments regarding the main contributors to the greenhouse effect, the intensity of the phenomenon across the earth’s surface and the consequences of global warming caused by the constant increase of the greenhouse effect. Participants were 93 students (prospective teachers) who had been provided with a number of data in order to be able to articulate claims and to develop reasoning to support them. Students’ argumentation components were categorized according to their content suitability, and relevant paths from data to claims were constructed. Results provide evidence for the capability of students to develop arguments based on the information and data available to them, revealing a number of misunderstandings in relation to the greenhouse effect and insufficient reasoning regarding their argumentation skills. Relevant improvements that could take place in preschool education departments and implications for science education are also discussed.
Scrotal Dermatofibrosarcoma Protuberance: A Case Review at Mankweng Academic Hospital
Authors: Nong Lerato Hector , Makhandule Fumani , Ntshani Dumisa , Bhuiyan Mirza
Published: June 2024

Background: Dermatofibrosarcoma Protuberance (DFSP) is an uncommon slow-growing soft tissue tumour. The overall incidence of DFSP in the population ranges from 0.3–5 per million and is more common in blacks than whites, males and females are affected equally. The main objective of this case report is to share our experience with Dermatofibrosarcoma Protuberance and give a literature review on the standard of care.
Case Presentation: A 28-year-old male presented to the outpatient department with a five-year history of a painless right inguinoscrotal mass. On physical examination the mass was lobulated, fixed to the underlying tissue, it was non-tender measured 8 X 8 cm and there were no inguinal lymph nodes palpable. Ultrasound showed a hypervascular soft tissue tumour not involving the testicle. Wide Local Excision was performed, and histology showed a protuberant ulcerated nodule. A staging CT scan of the chest and abdomen was normal with no features of any metastatic lesions.
Conclusion: DFSP is a slow-growing and locally aggressive tumor. Therefore, early diagnosis and complete surgical resection can result in patients being cured. Mohs micrographic surgery is becoming the treatment of choice for DFSP as it results in complete surgical clearance. Imatinib is a novel treatment option for DFSP and is increasingly being used.
Experimental study of gas adsorption using high-performance activated carbon: Propane adsorption isotherm
Authors: Aprianti Tine , Hapsari Harrini Mutiara , Permata Debby Yulinar , Aprilyanti Selvia , Sobey Justin , Pham Kallan , Kandadai Srinivasan , Chua Hui Tong
Published: June 2024

Activated carbon is widely used for its diverse adsorptive abilities, with a vast range of current and emerging uses. This study developed a data set for high-performing activated carbon, its adsorption abilities with differing adsorbents, and an understanding of what deviations are present compared to the widely used adsorption models. This study included the construction of Tóth isotherms in varying conditions. Building a strong isotherm correlation is desired, with an understanding of the relationship between the pores of the activated carbon sample, operating parameters, and the adsorbent. The present data could complement efforts in designing adsorbed natural gas storage systems. Experimental data was collected using a Constant Volume Variable Pressure (CVVP) apparatus, consisting of a temperature-regulated vessel containing the activated carbon sample dosed with varying adsorbents through a controlled dosing vessel. Analysis of the derived data gave a well-fitted Tóth adsorption isotherm, giving the maximum specific adsorption capacity of the activated carbon to be 2.28 g of propane per gram of activated carbon with a standard error of regression
Comparison of MCDM methods effectiveness in the selection of plastic injection molding machines
Authors: Trung Do Duc , Dudić Branislav , Duc Duong Van , Son Nguyen Hoai , Ašonja Aleksandar
Published: June 2024

In each specific problem of finding the best solution among many available options, where each option has multiple criteria, multi criteria decision making methods are considered equally effective when they converge to the same optimal solution. Proximity Indexed Value, Preference Selection Index, Faire Un Choix Adéquat (in French), and Collaborative Unbiased Rank List Integration are four Multi Criteria Decision Making methods with very different characteristics. All these four methods have been used a lot in recent times. The effectiveness of these four methods have been confirmed to be comparable to other multi criteria decision making methods in many applications. However, the comparison of these four methods with each other has never been performed in any studies. This article is performed to fill that gap. These four methods have been used to find to the best option among five types of plastic injection molding machine. Ten criteria have been chosen to describe each alternative. Two different methods that have been used to calculate the weights for the criteria are the MEAN weight method and the CRiteria Importance Through Intercriteria Correlation weight method. Different scenarios have been created to compare the effectiveness of these four methods. The results have shown that the four multi criteria decision making methods mentioned above are equally effective in the selection of plastic injection molding machines. Among the five types of plastic injection molding machines, namely JSW J350EII-SPA ANBE-002-02, Meiki M-200B-SJ, Meiki M-350C-DF-SJ, JSW J350E II, and JSW J550E-C5, the JSW J550E-C5 is the best type.
MALAY OF KUALUH WORD ORDER IN LABUHANBATU UTARA: A STUDY OF SYNTACTIC TYPOLOGY
Authors: Pasaribu Gumarpi Rahis , Mulyadi Mulyadi
Published: June 2024

The word order in the Kualuh Malay language spoken in North Labuhanbatu is the subject of this research, which aims to investigate it. Study In this research, the qualitative research method was utilized.  Data for this study came primarily from interviews and participants' own experiences. The clauses or sentences that were discovered in the folklore served as the research's primary source of data. The studies of Miles and Huberman were utilized in order to make sense of the data. The process of assessing the research involved several stages, including data reduction, data display, and extracting conclusions from the data and verifying them. It is possible to draw the conclusion based on the findings of the research that the structure of the sentence patterns used in the Kualuh Malay language spoken in North Labuhanbatu contains VSO, SVO, OSV, VOS, OVS SV, VO, and OV. The word order pattern that should be followed in the declarative clause of a declarative sentence is SC, SVO, OVS. The word order pattern of the clause in this section is V-O and O-V, and it is vital that this pattern be followed. In an interrogative sentence, SV, SVO, VOS, and OSV can be used with nasal-affixed verbs or without them.
The Effectiveness of Android-Based Interactive Multimedia in Improving Junior High School Students' English Learning Outcomes and Learning Motivation
Authors: Nurlaela Dewi , Santhi Dessy Dwi Yudha , Ardiasih Lidwina Sri
Published: June 2024

Android-based interactive multimedia based on articulate storylines three is starting to be used to improve student learning outcomes and learning motivation. This study examines how interactive media is used in English lessons for junior high school students. This study aims to determine a) whether Android-based interactive multimedia effectively improves students' English learning outcomes, b) explain how Android-based interactive multimedia can increase students' Motivation in their English learning, and c) how students perceive implementing Android-based interactive multimedia in English learning. This study employs experimental research methods. A quasi-experimental design shows how Android-based interactive multimedia for English subjects can improve student learning outcomes and Motivation. The researcher used documentation, tests, and questionnaires as instruments research gathered to measure the aims of the study. As it was a quasi-experiment, the sample used was 66 students, including 33 students in the control class and 33 students in the experimental class. The findings revealed that a) using Android-based interactive multimedia effectively improves students' English learning outcomes, b) Android-based interactive multimedia increases students' Motivation for English learning, and c) Android-based interactive multimedia is appropriate for learning English.In conclusion, implementing Android-based interactive multimedia is worth doing in English learning, especially in junior high school. From these findings, choosing the suitable learning media can influence student learning achievement. Likewise, students' Motivation to learn influences their outcomes in English. Students with high learning motivation certainly have better learning achievements than students with average or low learning motivation.
IMPLEMENTATION OF TECHNOLOGY-BASED LEARNING BY PRE-SERVICE TEACHERS DURING TEACHING PRACTICE PROGRAM
Authors: Arochman Taufik , Fortinasari Paulina Besty
Published: June 2024

Technology integration in classroom has become an important component for pre-service teachers in Teaching Practice Program (TPP). This situation makes technology become a basic need for instructors and also the students. The objective of this study is to identify the readiness of pre-service teachers in implementing technology in teaching and learning activities in the classroom. The method used in this study was qualitative research. Participants of the study were 50 pre-service teachers in Magelang and Temanggung Regencies, Central Java, Indonesia. The data were gathered using observation, questionnaires, and interviews. The results showed that most of the pre-service teachers were ready to face the challenges of applying technology in their classroom. Most of them have recognized the applications, software, and websites that can be integrated to the teaching and learning activities such as Slides, PowerPoint, Prezi, PowToon, and Canva. Moreover, most of students are familiar with and are even accustomed to using modern and complex applications that support teachers to improve students' English language skills such as Google Classroom, WhatsApp, WebEx Cisco, Google Meet, and Zoom. However, it is still very much needed so that students can integrate these applications into effective and meaningful learning.
Automatic Detection of Verbal Deception in Romanian With Artificial Intelligence Methods
Authors:   Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University, Cluj-Napoca, Romania. Email: malina.crudu@stud.ubbcluj.ro., Crudu Mălina
Published: June 2024

Automatic deception detection is an important task with several applications in both direct physical human communication, as well as in computer-mediated one. The objective of this paper is to study the nature of deceptive language. The primary goal of this study is to investigate deception in Romanian written communication. We created a number of artificial intelligence models (based on Support Vector Machine, Random Forest, and Artificial Neural Network) to detect dishonesty in a topic-specific corpus. To assess the efficiency of the Linguistic Inquiry and Word Count (LIWC) categories in Romanian, we conducted a comparison between multiple text representations based on LIWC, TF-IDF, and LSA. The results show that in the case of datasets with a common subject such as the one we used regarding friendship, text categorization is more successful using general text representations such as TF-IDF or LSA. The proposed approach achieves an accuracy of the classification of 91.3%, outperforming the similar approaches presented in the literature. These findings have implications in fields like linguistics and opinion mining, where research on this subject in languages other than English is necessary.
Keywords: Deception Detection, Text Classification, Natural Language Processing, Machine Learning.
PELATIHAN BERBASIS WIRAUSAHA PADA MURID SMK KEPERAWATAN MELALUI PEMBUATAN PRODUK INHALASI ANTITUBERKULOSIS SEBAGAI UPAYA PENCEGAHAN TUBERKULOSIS
Authors: Kusuma Sri Agung Fitri , Fadhlillah Muhammad , Rostinawati Tina , Rahayu Driyanti
Published: June 2024

Soft skill dan ketrampilan yang dimiliki oleh siswa SMK keperawatan Baabul Kamil yang kompeten dapat menjadi peluang besar untuk membuka wirausaha baru yang berkontribusi di bidang kesehatan. Pada kegiatan pengabdian ini, siswa SMK dibekali dengan pelatihan pembuatan produk inhalasi antituberkulosis berbahan aktif minyak sereh dengan metode sederhana.  Produk yang dihasilkan ini dapat menginduksi para siswa untuk mampu melakukan komunikasi interpersonal dalam melaksanakan tindakan keperawatan dalam memasarkan produk aromaterapi inhalasi antituberkulosis ini. Tujuan program pengabdian kepada masyarakat ini adalah untuk membentuk kemandirian ekonomi dan kualitas lulusan para siswa didik SMK Baabul Kamil melalui peningkatan keterampilan dengan diperolehnya produk inhalasi antituberkulosis serta meningkatnya kemampuan komunikasi siswa didik SMK Baabul Kamil jurusan keperawatan dalam memberikan edukasi kesehatan kepada masyarakat sebagai perpanjangan tangan dari Puskesmas dalam memutus rantai penularan tuberkulosis. Metode program ini meliputi pre-test, dilanjutkan dengan kegiatan penyuluhan, post test, pembuatan produk parfum padat antituberkulosis dan penyuluhan manajemen kewirausahaan. Hasil yang diperoleh adalah didapatkan data tingkat pengetahuan siswa SMK tentang penyakit tuberkulosis dan pemantauan pengobatannya yaitu 55,56% berpengetahuan baik dan 44,44% berpengetahuan cukup. Data ini menunjukkan bahwa keberhasilan sistem pengajaran di SMK Baabul Kamil dalam pengajaran pengetahuan dasar kesehatan secara umum. Setelah diadakan penyuluhan khusus tentang tuberkulosis, tingkat pengetahuan siswa meningkat menjadi menjadi 83,33% berpengetahuan baik dan 16,67% berpengetahuan cukup. Antusiasme siswa SMK Baabul Kamil dalam pelatihan pembuatan produk parfum padat juga sangat tinggi. Jadi dapat disimpulkan bahwa bekal ketrampilan dan pengetahuan yang dimiliki oleh siswa SMK ini meningkat dan mampu menginduksi peminatan siswa untuk membuatnya secara mandiri untuk meniti kewirausahaan secara dini.
Pengembangan Sistem Pakar Penentuan Pupuk Kelapa Sawit di Koperasi Tani Karya Bersama Desa Talang Jerinjing
Authors: Wonoseto Muhammad Galih , Amin Khuldun
Published: June 2024

Kelompok Tani Tunas Harapan Desa Talang Jerinjing merupakan kelompok tani yang bergerak di bidang perkebunan kelapa sawit. Bentuk layanannya kepada anggotanya adalah menerima hasil panen buah sawit serta mengirimnya ke pabrik pengolahan minyak mentah. Untuk mendapatkan hasil yang melimpah, para petani diedukasi mengenai pemupukan oleh pakar. Pakar berasal dari PT, BUMDES, serta Dinas Perkebunan. Permasalahan terjadi ketika pakar yang dibutuhkan dalam keadaan sibuk. Untuk memudahkan para petani menentukan pupuk, maka peneliti merancang sistem yang dapat membantu permasalahan tersebut, yaitu Sistem Pakar, dimana sistem tersebut mengadopsi pengetahuan pakar kepada komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar, menggunakan metode Forward Chaining dan Certainty Factor. Hasil konsultasi berupa pupuk yang dibutuhkan lahan maupun tanaman disertai dengan nilai Certainty Factor untuk menunjukkan tingkat keakuratan gejalanya. Sehingga para petani nantinya tidak perlu ragu dari hasil konsultasinya sebab semua bobot yang digunakan dan pupuk sebagai solusi berasal dari keilmuan seorang pakar.
OPTIMALISASI KESADARAN ORANG TUA TERKAIT IMUNISASI DASAR PADA BALITA DENGAN METODE HYBRID PADA MASA PANDEMI COVID 19
Authors: Mulya Adelse Prima , Sujatmiko Budi , Kosassy Siti Mutia
Published: June 2024

Pelaksanaan imunisasi dasar balita banyak yang tertunda akibat pandemic Covid 19. Banyak orang tua di Desa Pangguh yang takut tertular covid 19 saat melakukan imunisasi dasar pada balitanya. Akibatnya keamuan untuk melakukan imunisasi dasar pada balita menurun. Tujuan dari pengabdian pada masyarakat ini untuk meningkatkan kesadaran orang tua dengan anak balita untuk melakukan imunisasi dasar pada balita. Metode pelaksanaan pengabdian pada masyarakat ini dari persiapan sampai pada pelaksanaan pendidikan kesehatan dilaksanakan secara hybrid. Analisis data menggunakan uji paired samples T test. Hasil kegiatan menunjukan sebelum dilakukan pendidikan kesehatan rata rata nilai pengetahuan sebesar 3,61 dan setelah dilakukan meningkat menjadi 5,96 dengan nilai p sebesar 0,00. Terjadinya peningkatan pengetahuan merupakan awal yang baik bagi masyarakat dalam memahami pentingnya imunisasi dasar pada balita. Diharapkan masyarakat yang mengikuti kegiatan ini dapat berbagi informasi juga dengan masyarakat sekitar khususnya di daerah Desa Pannguh Kabupaten Bandung.
Analisa Kinerja Rantai Pasok: Studi Kasus Keberhasilan Pemenuhan Kebutuhan Vaksin di Industri Farmasi XYZ
Authors: Charlie Vandie , Sriwidodo Sriwidodo , Roestan Mas Rahman , Nurrasjid Evi Sylvia , Kustiyawan Iwa
Published: June 2024

Penelitian ini mengevaluasi efektivitas industri farmasi XYZ dalam memenuhipermintaan fasilitas kesehatan selama tahun 2023. Latar belakang penelitiandidasarkan pada kebutuhan akan perencanaan produksi vaksin yang tepat guna danefisien untuk mengatasi fluktuasi permintaan. Metode produksi melibatkan data forecastfasilitas kesehatan untuk mengarahkan rencana produksi dengan mempertimbangkanlead time yang bervariasi berdasarkan jenis vaksin. Strategi produksi untuk pemenuhanpermintaan mencapai persentase yang tinggi dengan rata-rata sebesar 92%mencerminkan kemampuan industri XYZ dalam menjaga ketersediaan vaksin secarakonsisten. Strategi perencanaan produksi yang efektif juga terlihat dalam penanganankekurangan produk dengan mengalokasikan stok dari bulan sebelumnya atau menundapengiriman ke bulan berikutnya. Kesimpulannya, industri XYZ berhasil menghadapitantangan produksi vaksin dengan baik, menunjukkan komitmen dalam memenuhikebutuhan fasilitas kesehatan dan meningkatkan kualitas hidup masyarakat.