bluuebunny/crossref_metadata_2025_split huggingface dataset:
Healing with Storybooks: Using Bibliotherapy to Help Children Cope with Death
Authors: Malhi Prahbhjot , Bharti Bhavneet 
Published: August 2023

Abstract
Bibliotherapy refers to a dynamic process that occurs when mindful reading of books helps the reader to gain potential insight into their life experiences, overcome negative emotions, and enhance adaptive coping. The key to effective therapeutic reading involves selecting developmentally appropriate books with portrayed characters, situations, and emotional experiences with whom the child can identify. Children’s literature can be used as a pedagogical and clinical tool to teach values, facilitate emotional growth, and promote healthy development. The present case report demonstrates that parent-directed bibliotherapy has the potential to reduce childhood fears and help young children come to terms with loss in a nonthreatening and engaging way. The easy accessibility and low cost make bibliotherapy the treatment of choice in low- and middle-income countries where there is a need for alternative options for the delivery of services due to the scarce availability of trained child mental health professionals.
Early detection system of risk factors for diabetes mellitus type 2 utilization of machine learning-random forest
Authors: Ginting Johannes B. , Suci Tri , Ginting Chrismis N. , Girsang Ermi 
Published: August 2023

Abstract

BACKGROUND:
The prevalence of morbidity and mortality for type 2 diabetes mellitus (DM) is still increasing because of changing lifestyles. There needs to be a means of controlling the rise in the incidence of the disease. Many researchers have utilized technological advances such as machine learning for disease prevention and control, especially in noncommunicable conditions. Researchers are, therefore, interested in creating an early detection system for risk factors of type 2 diabetes.

MATERIALS AND METHODS:
The study was conducted in February 2022, utilizing secondary surveillance data from Puskesmas Johar Baru, Jakarta, in 2019, 2020, and 2021. Data was analyzed utilizing various bivariate and multivariate statistical methods at 5% significance level and machine learning methods (random forest algorithm) with an accuracy rate of >80%. The data for the three years was cleaned, normalized, and merged.

RESULTS:
The final population was 65,533 visits out of the initial data of 196,949, and the final number of DM 2 population was 2766 out of the initial data of 9903. Age, gender, family history of DM, family history of hypertension, hypertension, high blood sugar levels, obesity, and central obesity were significantly associated with type 2 DM. Family history was the strongest risk factor of all independent variables, odds ratio of 15.101. The classification results of feature importance, with an accuracy rate of 84%, obtained in order were age, blood sugar level, and body mass index.

CONCLUSION:
Blood sugar level is the most influential factor in the incidence of DM in Puskesmas Johar Baru. In other words, a person with a family history of type 2 diabetes, at unproductive age, of female gender, and of excessive weight can avoid type 2 diabetes if they can regularly maintain their blood sugar levels.
Effect of concept mapping model on critical thinking skills of family medicine residents: A randomized controlled trial
Authors: Mahmoud Mervat M.S. , Shokry Dina A. , Mowafy Maha A.E. , Elden Nesreen M.K. , Hasan Marwa D.A. 
Published: August 2023

Abstract

BACKGROUND:
The cognitive process of critical thinking (CT) involves the examination of the existing reasons and an analysis of the information to draw conclusions and make decisions. The goal of the study was to determine how concept mapping (CM) technique affects family medicine residents’ capacity for critical thought.

MATERIALS AND METHODS:
We conducted a randomized controlled trial among family medicine residents aged between 26 and 28 years. A total of 100 residents were involved; over the course of 3 months, 50 residents were exposed to the conventional teaching model and 50 residents to the CM model. Data was collected using California CT skills test (CCTST) modified Arabic version and a self-administered questionnaire. The primary intervention was teaching method, experimental group received CM lessons while control group had conventional lessons. First session was carried out at baseline and second session one week after baseline, whereas 3rd, 4th, and 5th sessions conducted at end of 1st, 2nd, 3rd months, respectively. Both groups were assessed at baseline and at end of 3rd month. Both groups were reassessed at end of three months. Quantitative data was presented as mean and SD, whereas frequencies and percentages used for qualitative data. Pre- and post-intervention CT scores for study groups were compared using t-test or Mann-Whitney U test, as appropriate. Groups were compared on pre- and post-intervention CT grades using Chi-square test.

RESULTS:
Vast majority (98%) of participants were females, nearly half were 27 year old, and belonged primarily to urban areas (76%). There was no difference in the CT scores between the groups at baseline. The post-intervention CT scores for study group were statistically significantly higher (18.36±2.68) compared to control group (15.94±1.94) (P = 0.001).

CONCLUSION:
The CM approach was superior to the conventional teaching approach in terms of improving CT.
Perception of Saudi undergraduate medical students on telemedicine training and its implementation
Authors: El Kheir Dalia Y. M. , AlMasmoom Nour S. , Eskander Mariam K. , Alshamrani Reem A. , Alwohaibi Rawaa N. , AlTheeb Fatimah N. , Aleid Bedour A. 
Published: August 2023

Abstract

BACKGROUND:
The use of telemedicine has increased considerably in healthcare delivery, especially during this time of the coronavirus disease 2019 (COVID-19) pandemic. It has, therefore, become necessary to train medical students to better equip them for this new means of healthcare delivery. The aim of the present study was to assess the perception of undergraduate medical students on telemedicine training.

MATERIALS AND METHODS:
A cross-sectional study was conducted on a total of 521 undergraduate medical students studying in the Eastern Region of Saudi Arabia. Data were collected via a self-administered pretested questionnaire comprising two main sections: demographics and knowledge and opinions regarding telemedicine training.

RESULTS:
About 73% students think that the use of telemedicine for patient care will increase in the future, and 59.3% think that the medical students should be trained in telemedicine. Majority of the students (78%) opined that telemedicine training should be optional and 58% said it should be taught during the clinical phase of the undergraduate curriculum. The best telemedicine training course learning objectives medical students opined to be included were: telemedicine practical skills (70.2%), legal aspects of telemedicine practice (68.3%), and potential positive and/or negative use of telemedicine tools and methods (67.6%). Telemedicine skills students would like to learn how to effectively engage patients, knowledge about telemedicine regulations and the consequences of breaching them.

CONCLUSION:
Medical students are aware of the importance of incorporating telemedicine training into the medical curriculum. Training these students is vital to ensure their competence as physicians in their future clinical careers, that is make them a digitally health-literate future workforce.
Predictors of depression among the elderly persons with disabilities in Indonesia
Authors: Widagdo The Maria M. , Widyaningsih Bernadeta D. , Layuklinggi Setywanty 
Published: August 2023

Abstract

BACKGROUND:
Depression is a major mental problem in the elderly, particularly those with disability. This study’s aim was to identify variables that predict depression in the elderly with disabilities.

MATERIALS AND METHODS:
This cross-sectional study was conducted in Gunungkidul Regency and Yogyakarta City from April to June 2021. The study participants were community-dwelling elderly aged 60 years and above with disabilities, who could communicate verbally without any apparent cognitive impairment. Data was collected by interviewing participants using structured questionnaire on following sections: Demographic characteristics, Mini-Mental State Examination (MMSE), Washington Group Short Set (WG-SS), Barthel Index of activities of daily living (ADL), Lawton Instrumental ADL (IADL) Scale, and Geriatric Depression Scale-30 (GDS-30). Multivariate linear regression analysis applied to identify variables significantly correlated with depression. Multinomial logistic regression analysis performed to obtain the odds ratio (OR).

RESULTS:
Study included 115 elderly persons with disabilities. Most of them had mobility impairment. Higher independence in ADL and being married were related with lower risk of depression, whereas increased age at disability increased the risk of depression (P = 0.001). The elderly who had greater independence with daily activities were less likely to have depression (OR = 0.639 for mild depression and OR = 0.589 for severe depression). Those who were not married were more likely to have mild depression (OR = 3.203) and severe depression (OR = 29.119). compared to the married elderly. Age at acquiring disability was associated with higher risk for mild depression (OR = 1.025) and severe depression (OR = 1.053). Higher independence in ADL and being married were related with lower risk of depression, whereas increased age at disability increased the risk of depression (P = 0.001).

CONCLUSION:
Independence in the ADL, being married, and being disabled as a young adult are negative predictors of depression in the elderly with disability.
Interobserver reproducibility of RENAL nephrometry score in comparison to simplified PADUA Renal nephrometry score
Authors: Arora Manali , Randhawa Lovepreet Singh , Lakhera Devkant , Thakker Vishal , Abhishek K. Aditya , Singh Dipesh , Chaudhary Rohit , Azad Rajiv Kumar 
Published: August 2023

Abstract

Introduction:
Nephron-sparing surgery (NSS) is the standard of care for renal tumors, especially in the early stages. RENAL Nephrometry scores provide a comprehensive presurgical predictive module for the choice of NSS or Radical Nephrectomy. The validity and reliability of Nephrometry scores is being tested continuously with advancement in the surgical techniques. The Simplified PADUA Nephrometry score (SPARE NS) is a newer proposed score which aims to better the reproducibility of the previously established nephrometry scores.

Materials and Methods:
The retrospective observational study studied the comparative inter-observer reliability of RENAL (RENAL NS) and SPARE nephrometry scoring systems amongst two radiologists while assessing solid renal tumors in contrast-enhanced computed tomography scans of 42 patients. Interobserver reliability for all components of both scores, final scores and risk grading was done by Kendall’s Concordance Coefficient (Tau).

Results:
Both RENAL NS and SPARE NS showed strong to excellent agreement (RENAL NS = 78.57% and SPARE NS = 88.09%) among observers with comparable correlation co-efficient (RENAL NS = 0.944 and SPARE NS = 0.935). Lesion radius and exophytic/endophytic properties were the most reproducible components of RENAL NS with 97.61% and 92.85% agreement, respectively. Location across polar lines was the least reproducible component with 85.71% agreement among observers. Exophytic rate (97.61%) and Rim location were the most reproducible components of SPARE NS. The final lesion risk stratification by both observers for both was concordant in 92.85% of cases.

Conclusion:
The SPARE system of scoring matches up to the RENAL NS in total score and risk stratification reproducibility. However, the individual components of the SPARE score are more reproducible than those of RENAL NS, bringing about better compliance among radiology consultants. Comparable reproducibility with the RENAL NS, lesser number of variables, and ease of doing make SPARE NS a plausible option for the customary preoperative assessment of renal tumors.
EVALUASI PEMBELAJARAN BERBASIS RISET MELALU LMS MOODLE MENGGUNAKAN CIPP MODELS
Authors: Zainudin M , Utami Anita Dewi 
Published: August 2023

Tujuan dari penelitian ini adalah untuk mengevaluasi kualitas dari keterlaksanaan pembelajaran berbasis riset yang diselenggarakan secara jarak jauh melalui bantuan learning menagement system moodle dengan menggunakan model evaluasi Contex, Input, Process, dan Product (CIPP). Sumber data terdiri dari dosen, mahasiswa, dokumen fakultas, dokumen program studi, dan lms moodle yang digunakan dalam perkuliahan. Data dikumpulkan melalui checklist evaluasi CIPP (2002), wawancara semi terstruktur, analisis dokumen dan observasi. Data dianalisis melalui analisis isi. Temuan menunjukkan bahwa pembelajaran yang diselenggarakan secara penuh melalui lms moodle yang berisi perangkat perkuliahan, diampu oleh dosen dengan keahlian sesuai dengan mata kuliah, mahasiswa yang kooperatif dalam sistem perkuliahan, dilakukan dengan pendekatan virtual synchonous dan self-directed asynchronous learning, dan collaborative asynchronous learning yang tepat dan efektif, penggunaan metodologi dan strategi pembelajaran yang berbeda memiliki dampak yang besar pada keterampilan, sikap, perilaku, nilai dalam merancang penelitian pendidikan dan menyusun proposal penelitian pendidikan dengan pendekatan kuantitatif. Namun, pemberian tugas proposal diberikan di akhir-akhir program sehingga waktu penyelesainnya cenderung sangat singkat. Hal ini terkesan tidak mengakomodir semua kemampuan mahasiswa. Mahasiswa yang cenderung berpikir lambat akan tertinggal dalam pemenuhan tugas tersebut. Kata kunci : Pembelajaran jarak jauh, pembelajaran berbasis riset, model cipp, lms moodle.
A Task Performance and Fitness Predictive Model Based on Neuro-Fuzzy Modeling
Authors: Johnson Femi , Adebukola Onashoga , Ojo Oluwafolake , Alaba Adejimi , Victor Opakunle 
Published: August 2023

Recruiters' decisions in the selection of candidates for specific job roles are not only dependent on physical attributes and academic qualifications but also on the fitness of candidates for the specified tasks. In this paper, we propose and develop a simple neuro-fuzzy-based task performance and fitness model for the selection of candidates. This is accomplished by obtaining from Kaggle (an online database) samples of task performance-related data of employees in various firms. Data were preprocessed and divided into 60%, 20%, and 20% for training, validating, and testing the developed neuro-fuzzy-based task performance model respectively. The most significant factors influencing the performance and fitness rating of workers were selected from the database using the Principal Components Analysis (PCA) ranking technique. The effectiveness of the proposed model was assessed, and discovered to generate an accuracy of 0.997%, 0.08% Root Mean Square Error (RMSE), and 0.042% Mean Absolute Error (MAE).

Received: 25 April 2023 | Revised: 13 July 2023 | Accepted: 27 July 2023

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The data that support the findings of this study are openly available in Kaggle dataset, Employee Attrition and Factors at https://www.kaggle.com/datasets/thedevastator/employee-attrition- and-factors.
A decrease in rockfall probability under climate change conditions in Germany
Authors: Nissen Katrin M. , Wilde Martina , Kreuzer Thomas M. , Wohlers Annika , Damm Bodo , Ulbrich Uwe 
Published: August 2023

Abstract. The effect of climate change on rockfalls in the German low mountain regions is investigated following two different approaches. The first approach uses a logistic regression model that describes the combined effect of precipitation, freeze–thaw cycles, and fissure water on rockfall probability. The climate change signal for the past 6 decades is analysed by applying the model to meteorological observations. The possible effect of climate change until the end of the century is explored by applying the statistical model to the output of a multi-model ensemble of 23 regional climate scenario simulations. It is found that the number of days per year exhibiting an above-average probability for rockfalls has mostly been decreasing during the last few decades. Statistical significance is, however, present at only a few sites. A robust and statistically significant decrease can be seen in the Representative Concentration Pathway (RCP) climate scenario 8.5 (RCP8.5) simulations for Germany and neighbouring regions, locally falling below −10 % when comparing the last 30 years of the 20th century to the last 30 years of the 21st century. The most important factor determining the projected decrease in rockfall probability is a reduction in the number of freeze–thaw cycles expected under future climate conditions. For the second approach four large-scale meteorological patterns that are associated with enhanced rockfall probability are identified from reanalysis data. The frequency of all four patterns exhibits a seasonal cycle that maximises in the cold half of the year (winter and spring). Trends in the number of days that can be assigned to these patterns are determined both in meteorological reanalysis data and in climate simulations. In the reanalysis no statistically significant trend is found. For the future scenario simulations all climate models show a statistically significant decrease in the number of rockfall-promoting weather situations.
Geostrophic adjustment on the midlatitude β plane
Authors: Yacoby Itamar , Paldor Nathan , Gildor Hezi 
Published: August 2023

Abstract. Analytical and numerical solutions of the linearized rotating shallow water equations are combined to study the geostrophic adjustment on the midlatitude β plane. The adjustment is examined in zonal periodic channels of width Ly=4Rd (narrow channel, where Rd is the radius of deformation) and Ly=60Rd (wide channel) for the particular initial conditions of a resting fluid with a step-like height distribution, η0. In the one-dimensional case, where η0=η0(y), we find that (i) β affects the geostrophic state (determined from the conservation of the meridional vorticity gradient) only when b=cot(ϕ0)RdR≥0.5 (where ϕ0 is the channel's central latitude, and R is Earth's radius); (ii) the energy conversion ratio varies by less than 10 % when b increases from 0 to 1; (iii) in wide channels, β affects the waves significantly, even for small b (e.g., b=0.005); and (iv) for b=0.005, harmonic waves approximate the waves in narrow channels, and trapped waves approximate the waves in wide channels. In the two-dimensional case, where η0=η0(x), we find that (i) at short times the spatial structure of the steady solution is similar to that on the f plane, while at long times the steady state drifts westward at the speed of Rossby waves (harmonic Rossby waves in narrow channels and trapped Rossby waves in wide channels); (ii) in wide channels, trapped-wave dispersion causes the equatorward segment of the wavefront to move faster than the northern segment; (iii) the energy of Rossby waves on the β plane approaches that of the steady state on the f plane; and (iv) the results outlined in (iii) and (iv) of the one-dimensional case also hold in the two-dimensional case.
Evaluation of the Citizen Participatory Audit by the Department of the Auditor General of Pakistan
Authors: USMAN Muhammad 
Published: August 2023

Social accountability is central to democratic accountability and governance. The participation and inclusion of citizens in the works of the government improves transparency and public trust. The Department of the Auditor General of Pakistan (DAGP) provides the necessary support to the Public Accounts Committees of the national and provincial assemblies in carrying out their legislative oversight on the operations of the executive to hold them accountable. The government of Pakistan and the World Bank have initiated the Program for Results (PforR) for improving public financial management and accountability, which calls for taking measures to improve social accountability and citizen participatory audit. As a result of this program, the DAGP has introduced the Citizen Participatory Audit (CPA) initiative to integrate the citizens in the audit process. Although, based on the experiences of other SAIs, the
DAGP’s CPA is an encouraging initiative towards social inclusion and participatory governance to promote social accountability, it would not be as successful as anticipated unless certain impediments and challenges identified through SWOT and PEST analyses are overcome.
Analisis Perbandingan Metode Certainty Factor Dan Demster Shafer Pada Diagnosa Penyakit Mata
Authors: Markus Tamara Bertha , Ikhsanto M. Nur , Perdana Andreas 
Published: August 2023

Katarak merupakan kekeruhan pada lensa mata yang berada didalam bola mata. Kekeruhan lensa atau katarak akan mengakibatkan cahaya terhalang untuk masuk kedalam mata sehingga daya penglihatan menjadi menurun. Penelitian ini sendiri bertujuan untuk mendiagnosa penyakit katarak dengan sistem pakar berdasarkan metode Demster- Shafer dan metode Certainty-Factor pada Rumah Sakit Ahmad Yani Metro. sistem aplikasi diagnosa yang digunakan dalam pembuatan sistem pakar menggunakan metode agar dapat melakukan proses yang memperhitungkan hasil diagnosa pada sistem pakar. Metode yang digunakan pada diagnosa penyakit yaitu seperti Demster-Shafer dan Certainty-Factor, pada penelitian ini metode tersebut dibandingkan secara kuantitatif yaitu dengan teori Confusion Matrix yang diambil dari hasil perhitungan dari kejadian gejala penyakit dan dinilai berdasarkan keyakinan dari pengetahuan pakar
MALWARE DETECTION USING DEEP LEARNING ALGORITHMS
Authors: ALTAİY Mohammed , YILDIZ İncilay , UÇAN Bahadır 
Published: August 2023

Background/aim: The aim of this study is to benefit from deep learning algorithms in the classification of malware. It is to determine the most effective classification algorithm by comparing the performances of deep learning algorithms.
Materials and methods: In this study, three deep learning methods, namely Long-Short-Term Memory Network (LSTM), Convolutional Neural Network (CNN), and Multitasking Deep Neural Network (DNN) were used.
Results: According to the findings obtained in malware detection, the best results were obtained from LTSM, CNN and DNN methods, respectively. With the three deep learning algorithms, the average Accuracy was 96%, the Precision average was 97%, and the Recall average was 97%.
Conclusion: According to the most effective results obtained from this study, Accuracy 0.982, Precision 0.988 and Recall 0.990.
The Influence of Service Quality and Marketing Strategy on Purchasing Decisions of One Point Computer Shop Stores in Bengkulu City
Authors: Ansori Fahmi Ridho , Pribowo Muhamad Galy Njoman Ari 
Published: August 2023

The title of this research is the effect of Service Quality and Marketing Strategy on the Purchasing Decisions at One Point Computer Shop Bengkulu City. This study aims to know the effect of service quality and marketing strategy on the purchasing decision at one point computer shop Bengkulu city. The research was conducted from September to December 2022. The sample of this research is consumers of One Point Computer Shop Bengkulu City with the total number 130 people. The sampling technique used is probability sampling. The method used inthis study is a quantitative method with Multiple Linear Regression analysis using SPSS 24 for windows. Based on the results of multiple linear regression, the following equation is obtained: Y = 1.295 + 0.685 (X1) + 0.100 (X2), the research results and hypotheses in this study indicate that service quality (X1) and marketing Strategy (X2) has a positive and significant effect both partially and simultaneously on purchasing decisions (Y) at the One Point Computer Shop Bengkulu City.