bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing Characteristics of ERP Adopters in the AIS Curriculum
Authors: Bradley Jean Ryberg , Behrend Matthew J. , Drum Dawna M. 
Published: July 2024

Abstract
Incorporating an ERP (enterprise resource planning) software or other accounting system software into an introductory AIS (accounting information systems) course can achieve multiple learning objectives, such as teaching business processes, enhancing critical thinking, and incorporating technology into the curriculum. Many software choices are available, and all of them permit instructors to meet key AIS learning objectives while simultaneously exposing students to current technology; however, the choices have varying levels of functionality. We identify key AIS learning objectives from prior research. In addition, we surveyed 89 accounting instructors to identify which systems are in use, how they are being used, why they were selected, and barriers to adoption. We encourage AIS instructors evaluating accounting systems software for their courses to consider this information when choosing a system.
Building Higher-Order Thinking Skills Through Assessment of User Account Access
Authors: Hawk Holly 
Published: July 2024

Abstract
Given the fast-paced growth of innovative technologies and soft skill development required by the accounting profession, students need to enhance their knowledge of business systems, risk, information technology (IT) controls, IT auditing, emerging technology, and higher-order thinking skills (HOTS). This instructional case provides the opportunity for students to (1) understand foundational knowledge and perform testing on IT controls, (2) perform data analytics within Excel and CaseWare Analytics’ IDEA, and (3) analyze and evaluate IT testing results to formulate appropriate conclusions. As students complete each part of the case, they build on their information technology knowledge and analytical and evaluative HOTS. This case is best suited for faculty teaching undergraduate or graduate-level students in accounting information system (AIS), IT audit, or internal auditing courses.
Pengaruh Informasi Kemanfaatan Penggunaan Obat Tradisional dan Suplemen Terhadap Willingness to Pay Dalam Pencegahan NCDs di Kota Yogyakarta
Authors: Mardiani Arisa , Dwinta Eliza , Sarwadhamana Raden Jaka , Putri Imram Radne Rimba 
Published: July 2024

The current incidence of NCDs can not only attack the elderly but can start at a younger age. Must carry out prevention efforts as early as possible by consuming traditional medicines (OT) and supplements. Can obtain information on the benefits of the two products through packaging labels. However, many people still need to pay more attention to them, so they need to understand the proper and correct use of OT and supplements. Willingness to pay (WTP) goes hand in hand with the benefit information obtained. Because if it follows the benefits and prices, the community's WTP is expected to increase. This study aimed to determine the effect of information on the benefits of using OT and supplements on WTP in preventing NCDs in Yogyakarta with a cross-sectional study design. They conducted this research for one month in 5 sub-districts of Yogyakarta City, namely Danurejan, Gondomanan, Mantrijeron, Umbulharjo, and Wirobrajan sub-districts with 107 respondents. The sampling technique uses accidental sampling, and the research instrument is a WTP questionnaire. The results of the research on statistical tests using Kendall Tau found that the significance values were 0.225 (OT) and 0.094 (supplements) > 0.05, so it concluded that information on the benefits of using OT and supplements from packaging labels did not affect WTP in preventing NCDs in the City of Yogyakarta.
Embodied Spatial Navigation Training in Mild Cognitive Impairment: A Proof-of-Concept Trial
Authors: Tuena Cosimo , Serino Silvia , Pedroli Elisa , Stramba-Badiale Chiara , Goulene Karine Marie , Stramba-Badiale Marco , Riva Giuseppe 
Published: July 2024

Background: Egocentric and allocentric spatial memory impairments affect the navigation abilities of older adults with mild cognitive impairment (MCI). Embodied cognition research hints that specific aids can be implemented into virtual reality (VR) training to enhance spatial memory. Objective: In this study, we preliminarily tested ‘ANTaging’, an embodied-based immersive VR training for egocentric and allocentric memory, compared to treatment as usual (TAU) spatial training in MCI. Methods: MCI patients were recruited for this controlled trial. A cognitive battery was administered at pre-test, after ten sessions of ANTaging or TAU intervention, and at 3-month follow-up (FU). The primary outcomes were spatial cognition tests (Corsi supra-span, CSS; Manikin test, MT). VR egocentric and allocentric performance was also collected. Results: We found that ANTaging significantly improved MT scores at FU compared to TAU. CSS slightly improved in both groups. Concerning secondary outcomes, auditory-verbal forgetting significantly improved at post-test in the ANTaging but not TAU group and significantly declined at FU in the TAU but not in the ANTaging group. Global cognition significantly improved at FU for TAU and remained stable for ANTaging. Other tests showed no improvement or deterioration. Clinical significance showed that ANTaging is effective for CSS. Virtual egocentric and allocentric memory performance improved across ANTaging sessions. Conclusions: ANTaging holds the potential to be superior for improving spatial cognition in MCI compared to TAU. Embodied cognition research provides insights for designing effective spatial navigation rehabilitation in aging.
Effects of Mobile Intelligent Cognitive Training for Patients with Post-Stroke Cognitive Impairment: A 12-Week, Multicenter, Randomized Controlled Study
Authors: Han Kaiyue , Liu Guangliang , Liu Nan , Li Jiangyi , Li Jianfeng , Cui Lihua , Cheng Ming , Long Junzi , Liao Xingxing , Tang Zhiqing , Liu Ying , Liu Jiajie , Chen Jiarou , Lu Haitao , Zhang Hao 
Published: July 2024

Background: The current application effects of computerized cognitive intervention are inconsistent and limited to hospital rehabilitation settings. Objective: To investigate the effect of mobile intelligent cognitive training (MICT) on patients with post-stroke cognitive impairment (PSCI). Methods: This study was a multicenter, prospective, open-label, blinded endpoint, cluster-randomized controlled trial (RCT). 518 PSCI patients were stratified and assigned to four rehabilitation settings, and then patients were randomized into experimental and control groups in each rehabilitation setting through cluster randomization. All patients received comprehensive management for PSCI, while the experimental group additionally received MICT intervention. Treatment was 30 minutes daily, 5 days per week, for 12 weeks. Cognitive function, activities of daily living (ADL), and quality of life (QOL) were assessed before the treatment, at weeks 6 and 12 post-treatment, and a 16-week follow-up. Results: Linear Mixed Effects Models showed patients with PSCI were better off than pre-treatment patients on each outcome measure ( p < 0.05). Additionally, the improvement of these outcomes in the experimental group was significantly better than in the control group at week 6 post-treatment and 16-week follow-up ( p < 0.05). The rehabilitation setting also affected the cognitive efficacy of MICT intervention in improving PSCI patients, and the degree of improvement in each outcome was found to be highest in hospital, followed by community, nursing home, and home settings. Conclusions: Long-term MICT intervention can improve cognition, ADL, and QOL in patients with PSCI, with sustained effects for at least one month. Notably, different rehabilitation settings affect the cognitive intervention efficacy of MICT on PSCI patients. However, this still needs to be further determined in future studies.
Phenotype-Genotype Correlation of a Cohort of Patients with Congenital Myopathy: A Single Centre Experience from India
Authors: Harikrishna Ganaraja Valakunja , Padmanabha Hansashree , Polavarapu Kiran , Anjanappa Ram Murthy , Preethish-Kumar Veeramani , Nandeesh Bevinahalli Nanjegowda , Vengalil Seena , Nashi Saraswati , Baskar Dipti , Thomas Aneesha , Bardhan Mainak , Arunachal Gautham , Menon Deepak , Sanka Sai Bhargava , Manjunath Nisha , Nalini Atchayaram 
Published: July 2024

Background: Congenital myopathies (CMs) are a diverse group of inherited muscle disorders with broad genotypic and phenotypic heterogeneity. While the literature on CM is available from European countries, comprehensive data from the Indian subcontinent is lacking. Objectives: This study aims to describe the clinical and histopathological characteristics of a cohort of genetically confirmed CMs from India and attempts to do phenotype-genotype correlation. Methods: A retrospective chart review of genetically confirmed CMs was evaluated between January 2016 and December 2020 at the neuromuscular clinic. The clinical, genetic, and follow-up data were recorded in a pre-structured proforma as per the medical records, and the data was analyzed. Results: A total of 31(M: F = 14 : 17) unrelated patients were included. The median age at onset and duration of illness are 2.0(IQR:1–8) years and 6.0(IQR:3–10) years respectively. Clinical features observed were proximodistal weakness (54.8%), facial weakness (64.5%), and myopathic facies (54.8%), followed by ptosis (33.3%), and ophthalmoplegia (19.4%). Muscle histopathology was available in 38.7% of patients, and centronuclear myopathy was the most common histopathology finding. The pathogenic genetic variants were identified in RYR1 (29.0%), DNM2 (19.4%), SELENON (12.9%), KBTBD13 (9.7%), NEB (6.5%), and MYPN (6.5%) genes. Novel mutations were observed in 30.3% of the cohort. Follow-up details were available in 77.4% of children, and the median duration of follow-up and age at last follow-up was 4.5 (Range 0.5–11) years and 13 (Range 3–35) years, respectively. The majority were ambulant with minimal assistance at the last follow-up. Mortality was noted in 8.3% due to respiratory failure in Centronuclear myopathy 1 and congenital myopathy 3 with rigid spines ( SELENON). Conclusion: This study highlights the various phenotypes and patterns of genetic mutations in a cohort of pediatric patients with congenital myopathy from India. Centronuclear myopathy was the most common histological classification and the mutations in RYR1 followed by DNM2 gene were the common pathogenic variants identified. The majority were independent in their activities of daily living during the last follow-up, highlighting the fact that the disease has slow progression irrespective of the genotype.
Sensitivity Study of Feature Vectors Formed on the Basis of Multiple Scale Transformations of Processed Images
Authors: Vasilieva D. V. 
Published: July 2024

Introduction. Under the conditions of globalization, transportation of oil products by tanker fleets becomes one of the causes of man-made disasters in the water areas of seas and oceans. In this context, environmental monitoring acquires particular significance as a tool for ensuring timely detection of negative consequences of man-made disasters. This task is facilitated by recognition of images obtained from unmanned aerial vehicles with selection of those depicting the traces of man-made accidents or their consequences.Aim. To develop approaches for carrying out automatic selection of input data obtained from unmanned aerial vehicles in the form of photo and video images at the preliminary stage of image recognition.Materials and methods. The theoretical part of the study employed a classification method based on pattern recognition theory. Mathematical processing and calculation were carried out in the MATLAB environment. Simulation was conducted using the MathCAD environment.Results. A series of experiments was conducted to select a basis for discrete wavelet transforms. Modeling was conducted using the study results of the sensitivity of the feature vectors of images formed on the basis of different types of wavelet transforms. A concept of image construction for the purposes of feature vector formation was developed.Conclusion. An approach to the formalization of images for the purposes of feature vector formation is proposed. A metric of their contrast estimation is substantiated. It was established that the sensitivity of a recognition system based on the representation of images in the form of discrete wavelet transform matrices depends not only on the type of the mother wavelet, but also on the value of the scale parameter.
Edukasi Pencegahan Komplikasi Neuropati Diabetik Berbasis Digital
Authors: Sakinah Sri , Tahir Muhammad , Juniarti Atira , Jasmin Muh 
Published: July 2024

ABSTRACT Diabetes Mellitus (DM) is a chronic disease caused by a lack of insulin production or by ineffective insulin production. This causes an increase in the concentration of glucose in the blood (hyperglycemia), a condition that damages many of the body's systems, especially the blood vessels and nerves. To determine the impact of providing digital-based diabetic neurophaty complication prevention education. This type of research is quantitative with a research design, namely quasi-experimental using a one group pre-post test design approach. The sample size in this study was 25 respondents, using purposive sampling as the sampling technique. The data analysis used is the Paried T-test. From the results of statistical tests using the paired t test, it can be seen that the results of the post and pre-test with a significance of 0.000, which means p <α (0.05) where the value of p <α means that it can be concluded that there is an influence in providing Education for Prevention of Complications of Diabetic Neuropathy Based Digital. The results of this study can be used as input for health institutions in providing education on diabetic foot exercises as a non-pharmacological therapy to reduce blood sugar levels and prevent complications of neuropathy, especially in people with diabetes mellitus. Keywords: Diabetes Mellitus, Diabetic Foot Exercise, Education ABSTRAK Diabetes Mellitus (DM) adalah penyakit kronis yang disebabkan karena kekurangan produksi insulin atau oleh tidak efektifnya insulin yang dihasilkan. Hal ini menyebabkan peningkatan konsentrasi glukosa dalam darah (hiperglikemia), kondisi yang akan merusak banyak sistem tubuh, khususnya pembuluh darah dan saraf. Tujuan untuk mengetahui pengaruh dalam memberikan Edukasi Pencegahan Komplikasi Neuropati Diabetik Berbasis Digital. Jenis penelitian ini adalah kuantitatif dengan desain penelitian yaitu quasi eksperimen menggunakan pendekatan one group pre-post test design. Adapun besarnya sampel pada penelitian ini adalah sebanyak 25 responden, dengan menggunakan purposive sampling sebagai teknik pengambilan sampel. Analisa data yang digunakan adalah uji paried T-tes. Hasil uji statistik dengan menggunakan uji paired t test maka dapat dilihat bahwa hasil post dan pretest dengan signifikansi 0.000 yang artinya p <α (0,05) yang dimana nilai p <α maka disimpulkan ada pengaruh dalam memberikan edukasi pencegahan komplikasi neuropati diabetik berbasis digital. Penelitian ini dapat dipergunakan sebagai bahan masukan bagi institusi kesehatan dalam memberikan edukasi senam kaki diabetik sebagai terapi non farmakologi untuk menurunkan kadar gula darah dan mencegah terjadinya komplikai neuropati khususnya pada pasien diabetes melitus Kata Kunci: Diabetes Melitus, Senam Kaki Diabetes, Edukasi
Penyakit Ginjal Kronis Pada Masyarakat di Wilayah Pesisir
Authors: Napitupulu Regia , Paridah Paridah , Tukan Ramdya Akbar , Alfianur Alfianur , Wijayanti Dewi , Lesmana Hendy 
Published: July 2024

ABSTRACT Chronic kidney disease is a condition of progressive decline in kidney function that occurred within a few months or years. Globally, there were 850,000 deaths each year from chronic kidney disease. The high incidence of chronic kidney disease is supposed to be caused by several risk factors such as hypertension, Diabetes Mellitus, smoking habits, consumption of supplement drinks, and lifestyle. The objective of this study was to identify the factors that influence the incidence of chronic kidney disease in coastal communities. The design of this study was cross sectional. The sampling used a purposive sampling method with a total sample of 68 respondents. The results of this study showed that there was a significant correlation between Sociodemographic factors (age and sex), comorbidities (Hypertension, Diabetes Mellitus, and Hyperuricemia), and lifestyle (consumption of seafood, alcohol, and caffeine). In addition, there was no significant correlation Sociodemographic factors (education), lifestyle (consumption of supplements), and family history toward the chronic kidney disease of people in coastal areas. The conclusions of the most dominant risk factors were likely to occur of chronic kidney disease in coastal area communities namely age, Hyperuricemia comorbidities and a lifestyle in consuming seafood. Keywords: Risk Factors, Chronic Kidneys, Coastal Areas ABSTRAK Penyakit ginjal kronis merupakan suatu keadaan adanya penurunan fungsi ginjal secara progresif yang terjadi dalam beberapa bulan atau tahun. Secara global, setiap tahun terdapat 850.000 kematian akibat dari penyakit ginjal kronis. Tingginya angka kejadian penyakit ginjal kronis diduga disebabkan oleh beberapa faktor risiko seperti penyakit Hipertensi, Diabetes Mellitus, kebiasaan merokok, konsumsi minuman suplemen, dan gaya hidup. Tujuan penelitian ini adalah untuk mengidentifikasi faktor-faktor yang mempengaruhi kejadian penyakit ginjal kronis pada masayarakat pesisir. Desain penelitian ini adalah studi cross-sectional. Pengambilan sampel menggunakan metode purposive sampling dengan jumlah sampel 68 responden. Hasil penelitian menunjukkan bahwa ada hubungan yang signifikan antara faktor sosiodemografi (usia dan jenis kelamin), penyakit penyerta (Hipertensi, Diabetes Mellitus, dan Hiperurisemia), gaya hidup (konsumsi seafood, alkohol, dan kafein), dan tidak ada hubungan signifikan faktor sosiodemografi (pendidikan), gaya hidup (komsumsi suplemen), dan riwayat keluarga dengan penyakit ginjal kronis pada masyarakat di wilayah pesisir. Kesimpulan faktor risiko yang paling dominan berpeluang untuk terjadinya penyakit ginjal kronis pada masyarakat di wilayah pesisir yaitu usia, penyakit penyerta Hiperurisemia dan gaya hidup mengosumsi seafood. Kata Kunci: Faktor Risiko, Ginjal Kronis, Wilayah Pesisir
The Relationship Between the Type of Parent's Work Towards the Occurrence of Speech Delay at the Grahahusada Gresik Hospital
Authors: Gumilang Retna , Farakhin Noer , Maharani Dwi Kartika 
Published: July 2024

ABSTRACT The child's ability to communicate begins with the social reactions that the child shows by responding to the presence of others. This study aims to determine which parental role variables are associated with the incidence of speech delay in children with special needs at Grahahusada Gresik Hospital. Analytical observational research with cross sectional approach. The population in the study was all children with special needs who were examined at the children's poly with complaints of delays in work. The variables studied in the study are; individual characteristics of children, Child Age Group, Caregivers and incidence of speech delay. Techniques in sampling with total sampling techniques and analyzed using the Chi Square test. It is known that the children in the study were dominated by male gender 71.8% with the age group of toddlers 83.3% and most of the children were cared for by their own biological mothers as much as 62.8%. known the results of the Chi Square test p-Value variable gender of children 0.073, age category of children 0.004, and Caregivers 0.108. Child age category is associated with the incidence of speech delay in children with special needs at Grahahusada Gresik Hospital. Keywords: Speech Delay, Children with Special Needs, Parents
The Role of DACUM Method in Designing Training Programs in Security Institutions: An Empirical Research in Iraqi National Security Services
Authors: Ameer Abbas* Mustafa , Dawood Salman Mazin 
Published: July 2024

The current research has aimed to achieve a set of main objectives, which include diagnosing training needs based on their dimensions (identifying training needs, training planning, training content, training implementation, training evaluation, and feedback). This research focused on the necessary factors required to apply Developing Curriculum (DACUM) method in designing training programs according to the requirements and needs of security institutions in Iraq. The researcher assumed that there is a significant effect of DACUM method with its five dimensions (analysis, design, development, implementation, and evaluation) on designing the training program with its six dimensions (identifying training needs, training planning, training content, training implementation, training evaluation, and feedback). This method is considered a cost-effective approach compared to other methodologies. It aims to identifying training needs, improving performance, and developing work processes.
This research adopted a descriptive statistic technique, relying on a questionnaire as the major instrument for data collection. The research population was 224 employees, while the sample size was 142 employees, according to De Morgan's Table for samples. The researcher used several statistical methods, that included Cronbach’s alpha, normal distribution test, Pearson correlation coefficient, and simple linear regression. The statistical software used for analysis was (SPSS V26 and Excel). The research showed several vital findings represented statistically significant; the variable (DACUM) method and its dimensions directly affect the design of the training program in security institutions.
Comparison of Some Robust Methods of Difference Based Ridge Estimator in Semiparametric Regression Model
Authors: Khalid Saed * Wissam , Abdulrida Saleh Rabab 
Published: July 2024

The semiparametric regression models have received a lot of attention from researchers recently because it combines parametric and nonparametric methods, it is one of the advanced topics in data analysis for various studies, which aims to find the best capabilities and a high level of efficiency.
One of the most important semiparametric regression models is the partial linear regression model (PLM), which consists of a parametric component and a nonparametric component, for the purpose of estimating the parametric component, the difference method will be used to remove the nonparametric component.
When the analysis hypotheses of the parametric component are not fulfilled, it will suffer from several problems, the most important of which is the problem of complete multicollinearity, besides the multicollinearity, there are also outliers in the data.
In this research, the problems of multicollinearity and outliers of the semiparametric regression model were addressed, where simulation was used to generate data with different sample sizes and for different correlations and outlier ratios and for different methods such as [Difference Ridge based M robust with Nadaraya – Watson (DRMNW), Difference Ridge based S robust with Nadaraya – Watson (DRSNW), Difference Ridge based M robust with Smoothing spline (DRMSP), Difference Ridge based S robust with Smoothing spline (DRSSP)], the results showed that method Difference Ridge based S robust with Smoothing spline (DRSSP) is the best estimator
Paper type: Research paper.