bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemanfaatan Minyak Jelantah untuk Pembuatan Lilin Aromatherapi di Padukuhan Jaban, Sleman
Authors: Kusumaningsih Dela , Rauntana Lisa , Zanah Fanisa Ilham , Rahman Fahmi Aulia , Purnama Utari Dyah , Narto
Published: December 2023

Minyak jelantah merupakan suatu minyak goreng sisa pemakaian rumah tangga yang sudah tidak digunakan karena sudah melalui proses pemakaian yang berulang, sehingga menjadi limbah minyak yang dapat menyebabkan dampak buruk terhadap tubuh dan lingkungan. Melalui Praktik Kerja Lapangan Komunitas ini membahas mengenai salah satu program kerja yaitu memanfaatkan limbah minyak jelantah menjadi lilin aromaterapi yang dapat bermanfaat sebagai bentuk pengurangan limbah minyak jelantah. Lilin aromaterapi ini juga dapat bermanfaat sebagai salah satu ide yang dapat menghasilkan yang memiliki nilai jual di Padukuhan Jaban. Pembuatan lilin aromaterapi ini menggunakan beberapa bahan yaitu minyak, sterin, pastel, sumbu, essensial oil, gelas. Prosess pembuatan ini bersama dengan ibu-ibu KWT (Kelompok Wanita Tani), melalui proses penyampaian materi dan sampai pada pembuatan lilin aromaterapi jadi.
Health Education SADARI sebagai Upaya Deteksi Dini Kanker Payudara pada Kelompok Resiko di Wilayah Kerja Puskesmas Gitik
Authors: Budi Yulifah salistia , Indah Christiana
Published: December 2023

ABSTRAK

Kanker payudara merupakan salah satu kanker yang menyerang wanita dan memiliki angka kejadian yang relatif tinggi dibanding kasus kanker yang lain dan lebih sering menyerang pada wanita usia 20-60 tahun. Minimnya pengetahuan terhadap upaya deteksi dini kanker tersebut dapat meningkatkan prognosis kejadiannya. Tujuan dari pengadian masyarakat ini adalah untuk meningkatkan pengetahuan kelompok resiko terhadap upaya deteksi dini kanker payudara yaitu melalui pendidikan kesehatan tentang SADARI (Pemeriksaan Payudara Sendiri). Sasaran pada kegiatan ini yaitu sebanyak 135 wanita berusia 30 – 50 tahun di wilayah kerja Puskesmas Gitik. Metode yang digunakan adalah memberikan pendidikan kesehatan terhadap sasaran dan mengukur tingkat pengetahuan sasaran sebelum dan sesudah kegiatan untuk mengetahui perubahannya. Hasil dari kegiatan pengabdian masyarakat ini adalah sebelum kegiatan pendidikan kesehatan tingkat pengetahuan sasaran berada pada level cukup yaitu 56,% sedangkan sesudah kegiatan tingkat pengetahuan sasaran menjadi baik sebanyak 83%. Kegiatan pengabdian kepada masyarakat dalam upaya deteksi dini kanker payudara melalui pemberian pendidikan kesehatan atau health education kepada kelompok resiko dalam hal ini adalah wanita usia 30 – 50 tahun cukup efektif untuk meningkatkan pengetahuan tentang pentingnya melakukan SADARI.

 

Kata Kunci: kanker payudara, pendidikan kesehatan, SADARI

 

ABSTRACT

 

Breast cancer is a cancer that attacks women and has a relatively high incidence rate compared to other cancer cases and is more common in women aged 20-60 years. The lack of knowledge about efforts to detect early cancer can improve the prognosis of its occurrence. The purpose of this community service is to increase the knowledge of the risk group regarding early detection of breast cancer, namely through health education about BSE (Breast Self-Examination). The target for this activity is 135 women aged 30-50 years in the working area of ​​the Gitik Health Center. The method used is to provide health education to the target and measure the level of knowledge of the target before and after the activity to determine changes. The results of this community service activity were that before the health education activities the target knowledge level was at an adequate level, namely 56.%, while after the activity, the target knowledge level was good by 83%. Community service activities in an effort to detect early breast cancer through the provision of health education to risk groups, in this case women aged 30-50 years, are quite effective in increasing knowledge about the importance of performing BSE.

 

Keywords: breast cancer, BSE, health education
ULUSLARARASI REKABET GÜCÜNÜN DIŞ TİCARİ FAALİYETLER ÇERÇEVESİNDE ÖLÇÜMÜ: TÜRKİYE ÖRNEĞİ
Authors: ÖZDEMİR Köksal , ERDEM Ekrem
Published: December 2023

Küreselleşme olgusunun dünya piyasalarında yaşanmakta olan rekabet yarışını giderek zorlaştırması ile birlikte rekabet gücü konusu daha da önemli bir hal almaya başlamıştır. Firmalar ve firmaların faaliyetlerini sürdürdükleri ülkelerin ekonomik karar birimleri rekabet yarışında önde olabilmek adına ticari faaliyetlerini ve/veya karar süreçlerini daha stratejik hale getirmek durumundadırlar. Ancak bu noktada daha makul ve anlamlı stratejiler geliştirebilmek için mevcut rekabet düzeyinin objektif olarak tespit edilmesi hususu büyük önem arz etmektedir. Rekabet gücünün tespiti konusunda literatürde birbirinden farklı birçok yöntem çerçevesinde çalışmalar yapıldığı görülmektedir. Ne var ki rekabet gücünün tespitinin hangi yöntem vasıtası ile daha objektif bir biçimde yapılabileceği konusu henüz netlik kazanmış değildir. Bu çalışmanın amacı literatürde kabul görmüş olan iki farklı rekabet gücü ölçüm yöntemi ile Türkiye’nin uluslararası rekabet ortamında mevcut konumu itibariyle dış ticaret performansının düzeyinin belirlenmesi ve yorumlanmasıdır. Bu itibarla çalışmada 2001-2021 yılları arası döneme ait dış ticaret verilerinden hareketle Türkiye’nin Açıklanmış Karşılaştırmalı Üstünlükler (AKÜ) ve Nispi İhracat Avantajı Endeksi (RXA) endeksleri hesaplanmıştır. Söz konusu dış ticaret verileri kapsamında Türkiye’nin ithalat ve ihracatında ilk 20 sırada bulunan ürün grupları araştırmaya konu edilmiştir. Yapılan endeks hesaplamaları sonrasında elde edilen bulgular itibariyle Türkiye’nin dış ticari faaliyetlerinin rekabet gücü üzerine pozitif katkı sağlayan ürün grupları üzerinden yapıldığı ancak dış ticaret rakamlarının oldukça yüksek olduğu gözlemlenen bazı ürün gruplarının ise rekabet gücüne herhangi bir katkı sunmadığına işaret eden endeks değerleri ile karşılaşılmıştır.
BK viral infection: A review of management and treatment
Authors: Gorriceta June Hayrelle , Lopez Otbo Amy , Uehara Genta , Posadas Salas Maria Aurora
Published: December 2023

BK viral infection remains to be a challenging post-transplant infection, which can result in kidney dysfunction. The mainstay approach to BK infection is reduction of immunosuppression. Alterations in immunosuppressive regimen with minimization of calcineurin inhibitors, use of mechanistic target of rapamycin inhibitors, and leflunomide have been attempted with variable outcomes. Over the past few years, investigators have explored potential therapeutic options for BK infection. Fluoroquinolone prophylaxis and treatment was found to have no benefit in kidney transplant recipients. The utility of cidofovir is limited by its nephrotoxicity. Intravenous immunoglobulin is becoming a popular option for treatment and prophylaxis for BK infection, as it increases the neutralizing antibody titers against the most common BK virus serotypes. Virus-specific T cell therapy is an emerging treatment option for BK viremia. In this review, we will explore management and therapeutic options for BK infection and recent evidence available in literature.
Predictors of graft function and survival in second kidney transplantation: A single center experience
Authors: Khalil Mahmoud , Gadelkareem Rabea Ahmed , Abdallah Medhat Ahmed , Sayed Mohamed Abdel-Basir , Elanany Fathy Gaber , Fornara Paolo , Mohammed Nasreldin
Published: December 2023

BACKGROUND

The increasing kidney retransplantation rate has created a parallel field of research, including the risk factors and outcomes of this advanced form of renal replacement therapy. The presentation of experiences from different kidney transplantation centers may help enrich the literature on kidney retransplantation, as a specific topic in the field of kidney transplantation.

AIM

To identify the risk factors affecting primary graft function and graft survival rates after second kidney transplantation (SKT).

METHODS

The records of SKT cases performed between January 1977 and December 2014 at a European tertiary-level kidney transplantation center were retrospectively reviewed and analyzed. Beside the descriptive characteristics, the survivals of patients and both the first and second grafts were described using Kaplan-Meier curves. In addition, Kaplan-Meier analyses were also used to estimate the survival probabilities at 1, 3, 5, and 10 post-operative years, as well as at the longest follow-up duration available. Moreover, bivariate associations between various predictors and the categorical outcomes were assessed, using the suitable biostatistical tests, according to the predictor type.

RESULTS

Out of 1861 cases of kidney transplantation, only 48 cases with SKT were eligible for studying, including 33 men and 15 women with a mean age of 42.1 ± 13 years. The primary non-function (PNF) graft occurred in five patients (10.4%). In bivariate analyses, a high body mass index (P = 0.009) and first graft loss due to acute rejection (P = 0.025) were the only significant predictors of PNF graft. The second graft survival was reduced by delayed graft function in the first (P = 0.008) and second (P < 0.001) grafts. However, the effect of acute rejection within the first year after the first transplant did not reach the threshold of significance (P = 0.053). The mean follow-up period was 59.8 ± 48.6 mo. Censored graft/patient survival rates at 1, 3, 5 and 10 years were 90.5%/97.9%, 79.9%/95.6%, 73.7%/91.9%, and 51.6%/83.0%, respectively.

CONCLUSION

Non-immediate recovery modes of the first and second graft functions were significantly associated with unfavorable second graft survival rates. Patient and graft survival rates of SKT were similar to those of the first kidney transplantation.
Outcomes of early hospital readmission after kidney transplantation: Perspectives from a Canadian transplant centre
Authors: Famure Olusegun , Kim Esther D. , Li Yanhong , Huang Johnny W. , Zyla Roman , Au Magdalene , Chen Pei Xuan , Sultan Heebah , Ashwin Monika , Minkovich Michelle , Kim S Joseph
Published: December 2023

BACKGROUND

Early hospital readmissions (EHRs) after kidney transplantation range in incidence from 18%-47% and are important and substantial healthcare quality indicators. EHR can adversely impact clinical outcomes such as graft function and patient mortality as well as healthcare costs. EHRs have been extensively studied in American healthcare systems, but these associations have not been explored within a Canadian setting. Due to significant differences in the delivery of healthcare and patient outcomes, results from American studies cannot be readily applicable to Canadian populations. A better understanding of EHR can facilitate improved discharge planning and long-term outpatient management post kidney transplant.

AIM

To explore the burden of EHR on kidney transplant recipients (KTRs) and the Canadian healthcare system in a large transplant centre.

METHODS

This single centre cohort study included 1564 KTRs recruited from January 1, 2009 to December 31, 2017, with a 1-year follow-up. We defined EHR as hospitalizations within 30 d or 90 d of transplant discharge, excluding elective procedures. Multivariable Cox and linear regression models were used to examine EHR, late hospital readmissions (defined as hospitalizations within 31-365 d for 30-d EHR and within 91-365 d for 90-d EHR), and outcomes including graft function and patient mortality.

RESULTS

In this study, 307 (22.4%) and 394 (29.6%) KTRs had 30-d and 90-d EHRs, respectively. Factors such as having previous cases of rejection, being transplanted in more recent years, having a longer duration of dialysis pretransplant, and having an expanded criteria donor were associated with EHR post-transplant. The cumulative probability of death censored graft failure, as well as total graft failure, was higher among the 90-d EHR group as compared to patients with no EHR. While multivariable models found no significant association between EHR and patient mortality, patients with EHR were at an increased risk of late hospital readmissions, poorer kidney function throughout the 1st year post-transplant, and higher hospital-based care costs within the 1st year of follow-up.

CONCLUSION

EHRs are associated with suboptimal outcomes after kidney transplant and increased financial burden on the healthcare system. The results warrant the need for effective strategies to reduce post-transplant EHR.
Dosing strategies for de novo once-daily extended release tacrolimus in kidney transplant recipients based on CYP3A5 genotype
Authors: Diamond Adam , Karhadkar Sunil , Chavin Kenneth , Constantinescu Serban , Lau Kwan N. , Perez-Leal Oscar , Mohrien Kerry , Sifontis Nicole , Di Carlo Antonio
Published: December 2023

BACKGROUND

Tacrolimus extended-release tablets have been Food and Drug Administration-approved for use in the de novo kidney transplant population. Dosing requirements often vary for tacrolimus based on several factors including variation in metabolism based on CYP3A5 expression. Patients who express CYP3A5 often require higher dosing of immediate-release tacrolimus, but this has not been established for tacrolimus extended-release tablets in the de novo setting.

AIM

To obtain target trough concentrations of extended-release tacrolimus in de novo kidney transplant recipients according to CYP3A5 genotype.

METHODS

Single-arm, prospective, single-center, open-label, observational study (ClinicalTrials.gov: NCT03713645). Life cycle pharma tacrolimus (LCPT) orally once daily at a starting dose of 0.13 mg/kg/day based on actual body weight. If weight is more than 120% of ideal body weight, an adjusted body weight was used. LCPT dose was adjusted to maintain tacrolimus trough concentrations of 8-10 ng/mL. Pharmacogenetic analysis of CYP3A5 genotype was performed at study conclusion.

RESULTS

Mean time to therapeutic tacrolimus trough concentration was longer in CYP3A5 intermediate and extensive metabolizers vs. CYP3A5 non-expressers (6 d vs. 13.5 d vs. 4.5 d; P = 0.025). Mean tacrolimus doses and weight-based doses to achieve therapeutic concentration were higher in CYP3A5 intermediate and extensive metabolizers vs. CYP3A5 non-expressers (16 mg vs. 16 mg vs. 12 mg; P = 0.010) (0.20 mg/kg vs. 0.19 mg/kg vs. 0.13 mg/kg; P = 0.018). CYP3A5 extensive metabolizers experienced lower mean tacrolimus trough concentrations throughout the study period compared to CYP3A5 intermediate metabolizers and non-expressers (7.98 ng/mL vs. 9.18 ng/mL vs. 10.78 ng/mL; P = 0 0.008). No differences were identified with regards to kidney graft function at 30-d post-transplant. Serious adverse events were reported for 13 (36%) patients.

CONCLUSION

Expression of CYP3A5 leads to higher starting doses and incremental dosage titration of extended-release tacrolimus to achieve target trough concentrations. We suggest a higher starting dose of 0.2 mg/kg/d for CYP3A5 expressers.
Prediction of Cutting Forces Obtained through Cryo-Treated and Untreated Cutting Tools Using Optimum ANN Determined by Taguchi Design
Authors: BADAY Şehmus , GÜRBÜZ Hüseyin , ERSÖZ Onur
Published: December 2023

This experimental and statistical study addresses the prediction of cutting forces by using the optimum Artificial Neural Network employed by Taguchi design. For this purpose, input and output transfer function and training algorithm were selected as control parameters, while Mean Square Error was chosen as output parameters for evaluating optimum ANN structure with S/N ratios. ANN structure was optimized through Taguchi L9 orthogonal design, which occurred 5 set-up for utilizing all training function. According to MSE values of S/N ratios, each set-up was compared with the obtained prediction of making values of cutting forces to the optimal result. For each set, the hidden transfer function, output transfer function and training function used in the optimal ANN structure were determined. The optimal ANN structure for cutting forces obtained in turning experiments were logsig transfer function in hidden layer, Tlm training function and pureline transfer function in output layer, while R square was at 0.999945. It was found that ANN based Taguchi orthogonal design was successful in evaluating the experimental results.
Image Classification Using Deep Learning
Authors: Kaur Er. Sandeep
Published: December 2023

- Image classification is an important topic of study in the field of image processing nowadays and is a popular area of research. By providing the computer with data to learn from, image categorization was created to close the gap between computer vision and human vision. In this paper, the methods for categorising images using traditional machine learning and deep learning are compared and investigated. This study employs a tensor flow framework and convolutional neural networks to classify images. This paper implements CNN in binary classification and multi-class classification for object identification and analyses the performance of well-known convolutional neural networks (CNNs). We built five unique image datasets on our own for multiclass classification, using the dog vs. cat dataset for binary classification. For our investigation, we classified the photos using a separate machine learning model and then classified them again using CNN because evaluating CNN's performance on a single data set hides its actual potential and limits. Additionally, trained CNNs perform very differently across various categories of objects, and we will thus talk about some potential causes. Key Words: Image classification, python, Deep Learning, Tensor flow, Convolutional Neural Network, Open CV, NLP
Crop Yield Prediction using GELM (Gaussian Extreme Learning Machine)
Authors:   MALLA REDDY UNIVERSITYHYDERABAD, Satish Prof. Dr. Komati
Published: December 2023

Accurate prediction of crop yield is crucial for optimizing agricultural practices and ensuring food security. This project presents a novel approach, titled "Soil Factors-Driven Crop Yield Prediction with Optimized GELM (Gaussian Extreme Learning Machine)", aimed at improving crop yield prediction by leveraging soil factors. In this study, we propose an optimized version of the Gaussian Extreme Learning Machine (GELM) algorithm to effectively model the complex relationship between soil factors and crop yield.
PREDICTION OF CHRONIC KIDNEY DISEASE
Authors: K Senthil kumar
Published: December 2023

Chronic Kidney Disease is a prevalent and weakening medical condition with a substantial impact on public health. Early detection and prediction reduces its adverse effects and improve patient outcomes. In this project, wepropose a comprehensive predictive analysis framework utilizing advanced machine learning algorithms to forecast the onset and progression of the disease. The dataset comprises a diverse range of clinical, population, and laboratory features collected from a group of chronic kidney disease patients over a defined period. Preprocessing techniques are employed to handle missing values and normalize data. Subsequently, various machine learning algorithms, including Random Forest, Support Vector Machine, and Gradient Boosting , are trained on the processed dataset to learn complex patterns and relationships within the data. Additionally, feature importance analysis is undertaken to identify the most influential variables contributing to prediction accuracy. The machine learning algorithms can effectively aid clinicians in predicting chronic kidney diseases, enabling timely interventions and personalized treatment plans. This research contributes to the growing knowledge on the application of machine learning in healthcare, particularly in chronic disease prediction.
EVALUATION OF STRENGTH CHARACTERISTICS OF CLAYEY SOIL USING BASALT FIBER AND GROUND GRANULATED BLAST FURNACE SLAG
Authors: Kumar Karan , Sharma Anoop
Published: December 2023

The fundamental requirement of humanity is met by transportation. Everyone has traveled for food or pleasure since the beginning of time. Because there is a direct link between the caliber of a nation's transportation infrastructure and its level of development, everyone has high expectations for these facilities. Today's civil engineers have significant hurdles in creating transportation systems that are analytically sound, economically sound, environmentally benign, socially believable, sustainable, and practicable. The inadequacy of traditional construction techniques in the contemporary environment is generating interest in technologies like ground improvement. The development of the economies of developing nations like India depends heavily on the availability of an affordable road network. When it comes to highways, a weak subgrade layer of the pavement necessitates a thicker pavement, which raises the cost of building the pavement. Because of their weak shear strength, high potential for swelling, and poor bearing capacity, organic soils are not appropriate for construction work. Methods for stabilization and compaction can be used to address these sorts of soils. The major goal of the study in this work is to improve the geotechnical qualities of soil by the effective usage of stabilization utilizing basalt fiber and ground granulated blast furnace slag (GGBS) in varied quantities. The study used 2%, 3%, and 4% of basalt fiber and 5%, 10%, and 15% of powdered granulated blast furnace slag in three different amounts. Compaction and an unconfined compressive test (UCS) were performed on the reinforced soil. The findings of the trial indicated that the soil's compressive strength and shear strength had been effectively improved. Key Words: Compaction test, CBR, UCS, Basalt Fiber, GGBS
A Review on Solar Energy: Statistical and AI-based Solar Irradiance Forecasting
Authors:   JCDM College of Engineering, Sirsa 125055,India, Budania Sandeep
Published: December 2023

We must consider the excessive usage of fossil fuels and their disastrous effects on the environment in light of the current electricity crisis. This means that in order to promote sustainable development, renewable resources must be adopted. The integration of such sporadic renewable energy sources into the current grid increased its capacity but also created problems for the stability of the power system. This research offers a realistic solution to these issues using a novel technological idea known as "solar irradiance forecasting," which improves the stability of the system and offers better profile enhancement for the same. This paper reviewed the articles on statistical and AI-based solar irradiance forecasting in order to provide classifications for employees based on the situation. Keywords: Solar Energy, Statistical and AI-based Solar Irradiance Forecasting.
Classification and prediction of inflammatory bowel diseases
Authors:   Department Of Computer Science & Engineering Malla Reddy University Hyderabad , Telangana ,India, Kumar Shiva
Published: December 2023

The project aims to develop a system For predicting inflammatory bowel and building the machine learning model based on routinely performed laboratory blood, urine, and fecal tests to supportdifferentiation between IBD patients and non- IBD patients comparison of the effectiveness of our model to standard inflammatory serummarker, that is C-reactive protein (CRP), in the prediction of IBD, creating a website- based application supporting the prediction of the presence of IBD . the age profile of IBD patients is changing and there is an increase in early-onset and late-onset IBD prevalence. Both groups (older adults, which frequently suffer from various comorbidities, as well as children) would particularly benefit from the non-invasive diagnostic test. However, colonoscopy remains a gold standard in IBD diagnosis, monitoring of the disease course, and response to the therapy, as well as colorectal cancer screening [6,7,8,9]. Still, despite its obvious advantages, it is highly invasive, expensive, time- consuming, requires qualified medical personnel and patient‘s preparation, and is often poorly tolerated by patients themselves. Besides, in the pandemic all low-contact medical procedures are preferred. creating a website- based application supporting the prediction ofthe presence of IBD.Therefore, a simple diagnostic methodology based only on markers from blood, urine and stool that can be performed by a GP would be imperative inthe early diagnosis of IBD Keywords : inflammatoryboweldisease;ulcerative colitis; Crohn’s disease; artificial intelligence; machine
Unveiling the Future of Qatar's Oil and Gas Industry
Authors: Shrivastava Dr Arpita
Published: December 2023

The oil and gas sector is a major contributor to the Qatari economy, This research paper will provide a comprehensive overview of the oil & gas industry in Qatar and discuss the challenges and opportunities facing the sector in the coming years. It will then analyse the current state of the sector, including its size, structure, and performance. The paper will then discuss the key challenges facing the sector, including the transition to clean energy, the need to reduce greenhouse gas emissions, and the increasing competition from renewable energy sources. The paper will conclude by discussing the opportunities and the future of this sector. The paper will be based on a review of the existing literature, it will be written in a clear and concise style, and it will be of interest to policymakers, businesses, and other stakeholders in the oil and gas sector.
Comparative Analysis of Machine Learning Algorithms for Heart Disease Prediction
Authors: Bharathi Prof.K.Divya
Published: December 2023

Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition characterized by rapid onset of widespread inflammation in the lungs, leading to severe respiratory failure. Early detection of ARDS is crucial for timely intervention and improved patient outcomes. This paper proposes a novel approach for ARDS detection using machine learning algorithms applied to medical imaging and clinical data. The method integrates various features extracted from chest radiographs and patient information to create a predictive model for ARDS risk assessment. Additionally, this research investigates the potential of deep learning techniques in analyzing medical images to identify specific patterns indicative of ARDS onset. The proposed system demonstrates promising results in accurately identifying and predicting the likelihood of ARDS development, providing clinicians with a valuable tool for early diagnosis and intervention. This approach holds significant promise in enhancing clinical decision-making and improving patient care in critical care settings.
Pelatihan Penulisan Artikel Jurnal bagi Mahasiswa Program Studi Sastra Inggris Universitas Trunojoyo Madura
Authors: Pujiati Tri , Alfisuma Meria Zakiyah
Published: December 2023

Writing articles of a scientific nature is sometimes still an obstacle for final year English Literature students at Trunojoyo Madura University who want to publish the results of their research. This service activity is carried out by providing training on how to write scientific articles so that students are ready for publication. The method used is an approach based on Asset Based Community-Driven Development (ABCD). This activity is carried out through zoom meeting media during student holidays so that this activity is expected to fill student holiday time. The activity was carried out on July 26 2022. The results of this activity show that students have an interest in writing scientific articles but are still confused about starting and are still afraid to write. It is hoped that from this training students will become more confident and interested in writing scientific articles well and correctly
Portraits of Scientific Inquiry and Scientific Literacy Skills Development in Students
Authors: Dignam Christopher
Published: December 2023

Parental involvement generally occurs in elementary school and begins to diminish in middle school. Enlisting parental involvement in high school science is particularly challenging given parents tend to lack their own competencies in terms of scientific knowledge while simultaneously beginning to afford students increased independence. Research was conducted for employing active, meaningful constructivist-grounded parental involvement in high school science. Students participated in constructivist science learning activities with parents that utilized a facet of involvement strategies and socially supportive practices. Parents actively participated and communicated with students during science investigations via collaborative inquiry-based activities, self-assessments, and dialogue journaling. Parents and students participated in interviews, surveys, and questionnaires, as well as maintained dialogue journals for identifying themes. Triangulation of data identified the most effective strategies for involving parents in science learning and the impact of involvement on the development of student scientific inquiry and scientific literacy skills. Data indicated an increase in the development of scientific inquiry and scientific literacy skills in both parents and students, as well as student social, emotional achievement.
Effect of Work-Family Conflict on Job Satisfaction of Female Counselors: Mediating Effect of Person-Job Fit
Authors:   Korean East West Mind Sci Association, Kim HyunMi , Park MeeJin , Kim JinHee
Published: December 2023

This study sought to verify the mediating effect of person-job fit in the relationship between work-family conflict and job satisfaction of female counselors. To this end, a research model was established and hypotheses were derived based on previous research on work-family conflict, job satisfaction, and person-job fit. For this study, an online survey was conducted on 158 female counselors working in various types of counseling organizations. As a result, first, it was found that female counselors' work-family conflict had a negative effect on job satisfaction and person-job fit. Second, job satisfaction was found to have a positive effect on person-job fit. Third, person-job fit was found to have a full mediating effect in the relationship between work-family conflict and job satisfaction. Through this study, the importance and effectiveness of work-family conflict and job satisfaction were proven, and practical implications and limitations were presented as well as theoretical expansion through consideration of variables that mediate effectiveness.
Qualitative Study on Childcare Teachers’ Experiences of Parent Counseling
Authors:   Korean East West Mind Sci Association, Kim HyunMi , Kwon HyounYong
Published: December 2023

The purpose of this study is to qualitatively analyze the experiences of childcare teachers during the parent counseling process. To collect data, interviews were conducted in a semi-structured format with seven childcare teachers working at daycare centers in Gyeonggi-do. As a result of focus group interviews with childcare teachers, three themes and 7 categories were derived. The three themes emerged as the importance of parent counseling, experience of parent counseling, and success factors of parent counseling. The first theme, the importance of parental counseling, was analyzed into three categories: provision of expert knowledge in childcare, exchange of developmental characteristics of infants and toddlers, and trust between parents and teachers. The second theme, parental counseling experience, was divided into two categories: difficulties in parental counseling and successful parental counseling experiences. The third theme, success factors in parent counseling, was divided into two categories: parent counseling teacher factors and parent counseling parent factors. It is expected that these results will help provide the support and direction necessary for effective parent counseling.
Investigating clausal wh-constructions in Romanian
Authors: Caponigro Ivano , Falaus Anamaria
Published: December 2023

Romanian has an articulated system of (non-)interrogative wh-clauses that look morphosyntactically similar or even identical to each other on the surface, while exhibiting striking differences in distribution and interpretation. Using a minimal set of criteria, tests and distinctions, this article presents the first systematic comparative overview of all clausal wh-constructions attested in Romanian. We show that none of these constructions can be reduced to any of the others and flesh out some of the challenges arising for a unified analysis of wh-constructions and wh-expressions.
On an undocumented type of predicate ellipsis in Spanish and its consequences for the theory of ellipsis licensing
Authors: Saab Andrés , Stigliano Laura
Published: December 2023

In this paper, we introduce and discuss a type of ellipsis in Spanish, undocumented in the previous literature, which we will refer to as Predicate Phrase Ellipsis (PredP-Ellipsis), and its consequences for the theory of ellipsis licensing. PredP-Ellipsis is a type of ellipsis in which the complement of a copular verb undergoes deletion, whenever there is contrastive focus (typically encoded in Polarity) involved in the sentence. We provide an account for why this type of ellipsis is allowed in a language that lacks lower ellipses in the verbal domain (such as vP-Ellipsis), and implement our proposal by introducing an [E]-feature which is typically licensed when it enters into an Agree relation with a Polarity head higher in the structure.
HYBRID LAMINATE COMPOSITE CURVE STRUCTURE AS CYLINDRICAL CONCRETE COLUMN REINFORCEMENT
Authors: Zulfikar Achmad , Yaakob Mohd
Published: December 2023

Composite materials are well known for their lightweight, easy to form, high elastic properties, and relatively low production costs. Laminated composites are composite materials that are widely applied in modern building structures such as aircraft walls, automotive cases, dashboards, press boards, etc. In this study, a curved laminated composite material was used as a reinforcing material surrounding the column structure. This study aims to analyze the mechanical strength of curved laminated composite materials as reinforcement for the cylindrical column concrete structure. Compressive testing of composite materials using the ASTM C39 standard. The materials used are jute fabric, e-glass, epoxy resin, and concrete aggregate. Specimens were molded using a vacuum bagging technique to minimize trapped air in the matrix. The curve shape of the laminated composite was obtained from the shape of the ASTM C39 concrete specimen with a diameter of 50 mm and a length of 150 mm. Based on the results of the study, the compressive strength of the structure increased up to 100% when the jute fabric was given up to 2 layers. Furthermore, the strength of the structure will increase up to 150% in the application of jute e-glass hybrid laminate composite.
Cueva
Authors: Turabián Fernández José Luis , Pérez Franco Benjamín
Published: December 2023

Estas historias de la LIBRETA DE VIAJE DEL MÉDICO DE FAMILIA, que forman una biblioteca del médico caminante o viajero emocional, son hojas sueltas en las que se escribe sobre paisajes y emociones; son un atlas de geografía emocional. La evocación de un paisaje ante la asistencia a un paciente —montañas, ríos, valles, playas, mares, desiertos, mesetas, islas, pantanos, cascadas, dunas, bosques, salinas, lagos, etc.—, con las sensaciones sentidas por el médico, de calor, frescor, humedad, dificultad, agobio, serenidad, inmensidad, soledad, etc. No es un diario, solo una libreta de apuntes con las vivencias del médico sobre los patrones y procesos de la consulta en un cierto caso clínico, que, a su vez, puede ilustrar un prototipo de esa clase de casos.
Enfermedad de CADASIL: ictus familiares
Authors: García Lorenzo Marta , Maqueda Zamora Gloria , Comanda Marta , Conde Pedromingo María
Published: December 2023

El CADASIL es una microangiopatía cerebral de herencia autosómica dominante. Si bien su epidemiologia y patogénesis son poco conocidas, se sabe que está causada por una mutación del gen NOTCH3. Su expresión clínica es variable, dominada por episodios de migraña con aura seguido de episodios isquémicos cerebrales recurrentes, demencia y trastornos neuropsiquiátricos. El diagnóstico final se hace fundamentalmente con resonancia magnética desde la fase presintomática. El manejo del CADASIL es multidisciplinar. A continuación, exponemos el caso de un paciente que presenta múltiples accidentes cerebrovasculares. En la resonancia magnética se observa extensa afectación de sustancia blanca en ambos hemisferios cerebrales y en el estudio genético mutación compatible con enfermedad de CADASIL.

Palabras clave: CADASIL, accidente cerebrovascular, demencia vascular.
Sostenibilidad ambiental en el diseño arquitectónico de plantas procesadoras de alimentos
Authors: Zapata-Mendoza Prospero Cristhian Onofre , Villalta-Arellano Segundo Ramos , Berrios-Zevallos Andrés Amador , Atto-Coba Segundo Rafael , Berrios-Tauccaya Oscar Julian
Published: December 2023

La presente investigación se enfocó en conocer, el cómo el diseño arquitectónico de las plantas procesadoras de alimentos emplazadas en el distrito de Sullana, se relaciona con la sostenibilidad ambiental. Fue un estudio básico, analítico, estructurado; con un diseño no experimental, transversal, descriptivo, correlacional; teniendo como unidades de estudio, 9 plantas procesadoras de alimentos. Los resultados del estudio evidencian que Con un p_Valor mayor al nivel de significancia, la estructura envolvente arquitectónico no se relaciona significativamente con la calidad del aire, agua y suelo en las plantas procesadoras de alimentos. Con un p_Valor mayor al nivel de significancia, no se relaciona significativamente con la calidad del aire, agua y suelo en las plantas procesadoras de alimentos. El espacio arquitectónico y la contaminación del aire, agua y suelo. Con un con p_Valor de 0,018, el espacio arquitectónico se relaciona significativamente con la calidad del aire; sin embargo, con un p_Valor, muy superior al nivel de significancia, el espacio arquitectónico no se relaciona significativamente con la calidad del agua y suelo. Estos hallazgos, permiten concluir que con un p_Valor de 0,764, el diseño arquitectónico, no se relaciona significativamente con la sostenibilidad ambiental, en las plantas procesadoras de alimentos del distrito de Sullana.
Digital Entrepreneurship as One of The Applications of Contemporary Administration in The Entrepreneurial Orientations
Authors: Alkasassbeh Wasfi Abdul Kareem
Published: December 2023

Purpose: The objective of this research was to investigate how Digital entrepreneurship influences the achievement of entrepreneurial orientations within communication companies located in Tabuk region. To attain these goal, the researcher adopted an analytical descriptive approach and utilized a questionnaire as the primary tool for collecting data.
 
Theoretical framework: The theoretical basis is the literature on Digital Entrepreneurship and the Entrepreneurial Orientations.
 
Design/methodology/approach: Data was gathered quantitativel  The study involved study consisted of all Zain communication companies in Tabukwith a total of (6) branches, Mobilycompany with its (5) branches, and STC company with its branches its (5), where the total number of employees was (180). 
 
Findings: According to the findings, indicate that the findings indicated that the overall average scores for both Digital entrepreneurship and entrepreneurial orientations were notably high. Furthermore, the results highlighted a statistically significant relationship between Digital entrepreneurship and its various dimensions, and the attainment of entrepreneurial orientations. Specifically, the variables that had a significant impact on entrepreneurial orientations were innovation and creativity, digital knowledge base, and the digital business environment.
 
Research, Practical & Social Implications: This study examines digital entrepreneurship as a crucial aspect of modern administration in entrepreneurial contexts. It explores the intricate facets of digital entrepreneurship, uncovering its implications for research, practical applications, and societal impact. Through a detailed analysis of the dynamic relationship between administration and entrepreneurial orientations in the digital realm, the research aims to provide valuable contributions to both academic knowledge and Different sectors.
 
Originality/value: The study's worth lies in the additional insights it gives into the rising Digital Entrepreneurship as one of the Applications of Contemporary Administration in the Entrepreneurial Orientations.
Local Public Broadcasting Institutions and Digital Literacy in Distance Learning Activities
Authors: Sjuchro Dian Wardiana , Rusmana Agus , Sjafirah Nuryah Asri , Lusiana Elnovani , Sujana Lusi Romaddyniah
Published: December 2023

Purpose: This study aimed to examine digital literacy practice by utilizing the Local Public Broadcasting Institution in Distance Learning activities with a qualitative descriptive approach.
 
Theoretical Framework: Local Public Broadcasting Institutions contribute as a means of digital literacy in Distance Learning online activities (using internet channels) often encounter constraints and obstacles. Local Public Broadcasting Institutions is present as a solution that facilitates digital distance learning literacy through radio channels.
 
Result: The study results show the effectiveness of radio as part of the Local Public Broadcasting Institutions platform in supporting digital literacy in Distance Learning.
 
Conclusion: Local Public Broadcasting Institutions through a digital literacy program based on a broadcast radio platform, is proven to provide solutions in the field of Distance Learning, facilitating digital literacy for the public to develop the ability to use information and communication technology, obtain information, evaluate, create, and communicate the information obtained.
The Regulations of The Law Concerning Hate Speech Offenses
Authors: Kurniawan  , Judhariksawan  , Sampurno Slamet , Maskun
Published: December 2023

Objective: This research aims to examine the legal regulations of hate speech crimes in the ITE Law and the Indonesian Criminal Code (KUHP), and further explore the resolution of hate speech conflicts.
 
Theoretical Framework: The theoretical foundations include Legal Certainty theory, Law Enforcement theory, and Legal Convergence theory concerning hate speech conflict resolution following the principle of legal certainty.
 
Method: This study employs a qualitative normative approach (doctrinal) utilizing various legal instruments and indirect observation through conceptual, historical, legal, comparative, and case study approaches. Data collection involves literature review and field research through interviews. The data are analyzed qualitatively, generating descriptive data to reveal legal issues.
 
Findings and Conclusion: The main findings indicate that Article 28 paragraph (2) of the ITE Law still leads to multiple interpretations. The absence of the term "incitement" allows subjective interpretation and constitutes a very broad formulation. A comparison of hate speech crimes in Article 28 Paragraph (2) Jo Article 45A Paragraph (2) of the ITE Law with Article 243 Paragraph (1) and Paragraph (2) of the new Indonesian Criminal Code shows significant differences in terms of elements of the crime, general criminal law principles, additional penalties, lower/proportional sanctions, public virtual domain, integrated codification, and expanded meanings.
 
Originality/Value: This paper recommends urging the government to refine hate speech regulations to prevent multiple interpretations and emphasizes the need for guidelines in law enforcement application.
A Study of Customers Knowledge and Satisfaction with Ott Platforms
Authors: Varalakshmi Chadalavada , Rani Padala Lalitha , Srividya Godmala , Beig Naim , Pradeep Gowthu Suresh
Published: December 2023

Purpose: The main objective of this study is to find out how well users are aware of OTT platforms and how satisfied they are with their utilization of OTT platforms. It investigated at how demographic characteristics like gender, age, occupation, educational attainment, marital status, income level, and region affect users' awareness of and enjoyment with OTT platforms.
 
Theoretical framework: There is little empirical data available to assess user satisfaction and awareness of OTT platforms. OTT platforms have become quite common and many people have begun to use them due to their low cost and ease of usage.
 
Design/Methodology/Approach: An assessment of the survey of literature utilized by the research design. A data collecting tool, such as a questionnaire, and a non-probability sampling approach, such as the Snow ball sampling technique, are employed. To collect data, a standard questionnaire is employed. The data was gathered from respondents in the Andhra Pradesh state's West Godavari area.
 
Findings: Various statistical approaches, such as comparison of means, ANOVA, and regression, are employed to analyze the data. User satisfaction and degree of awareness were assessed by taking demographic factors into account. The age, occupation, marital status, and amount of income of OTT platform users all have a statistically significant association with their level of satisfaction. The user's gender, educational level, and geography have no statistically significant impact on their degree of satisfaction with OTT platforms. The user's age is statistically significant in terms of their awareness of the use of OTT platforms. Gender, occupation, educational level, marital status, income level, and location are statistically insignificant factors in OTT platform knowledge.
 
Research, Practical &social implication: This study evaluated the user’s level of awareness and satisfaction with the using OTT platforms.
 
Originality/Value: The goal of this study is to identify and evaluate the impact of various demographical characteristics on users' level of understanding and contentment with OTT platforms.
Economic Aspects of Pilgrimages of The People of Central Asia (1500-1860)
Authors: Tanieva Guldona M. , Zakhidova Sakhovat A. , Khamidova Mukhabbat S.
Published: December 2023

Objectives: In this section, the primary goals of the article are outlined. The focus is on identifying and understanding the key objectives that the author aims to achieve through their scientific analysis of pilgrimage travel from Central Asia to Mecca during the first half of the XVI-XIX centuries.

 

Methods: Here, the methods employed by the author in conducting their research are detailed. This includes a description of the sources utilized, such as writings by Central Asian authors, travelogues of foreign tourists, and information extracted from the archives of Uzbekistan, Turkey, and Russia. The methods section provides insight into the research process and the tools used to gather and analyze data.

 

Results: This section presents the outcomes of the scientific analysis, revealing the findings derived from the author's examination of pilgrimage travel from Central Asia to Mecca. It may include information on the economic costs associated with the journey, the factors influencing the choice of pilgrimage routes based on financial capabilities, and the role of patronage, religious, and ideological foundations in shaping these pilgrimages.

 

Conclusion: The conclusion section encapsulates the key takeaways from the study. It summarizes the significant findings, discusses their implications, and potentially suggests avenues for further research. This part of the article serves as a culmination of the author's analysis, offering a comprehensive understanding of the complexities involved in pilgrimage travel during the specified historical period.