bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study Of Changes in Knowledge, Skill and Attitude in Parents with a Community-Based Interactive Program on ECD Promotion in Rural India
Authors: Chattopadhyay Nandita , Basu Swati 
Published: August 2023

Abstract

Introduction:
Early childhood is the period of most rapid brain development. Early childhood development (ECD) is considered a prime investment for future prosperity in all dimensions, and the nurturing care framework provides a roadmap for promoting ECD. The deliverables for nurturing care (NC) are simple and affordable but require a robust delivery system with multi-stakeholder involvement to reach all caregivers, who are the ultimate implementing agents. Determining how to develop an effective ECD-NC delivery system can be a perplexing primary healthcare issue, unique to each country and community.
Objectives
To devise a cost-effective and sustainable program through the mediation of trained ECD activists from the community and to promote ECD-NC in remote, rural India by motivating and empowering mothers to implement nurturing care.
Method
In a rural community with an estimated 8,000 children between the ages of zero and six, eight local women were trained on ECD and NC delivery techniques. These women conducted an intensive and sustained 22-week awareness program in the form of weekly mother-child group meetings, in which more than 800 mothers participated. The impact of the program on the mothers’ knowledge, attitude and practices was assessed by the investigating team.
Results
Comparing the baseline and end-line data revealed a significant change (p < 0.005) in the knowledge, attitude and practice of parents, with respect to the nurturing care framework, following the participatory intervention program. When questioned directly about new knowledge or skills they had acquired, mothers mentioned making toys at home (62.8%), spending more time and engaging with children (65.1%), talking, telling stories, and reading with the child (21%).
Conclusion
Training ECD activists in the community to conduct regular, sustained group activities with mothers is a simple, cost-effective way to reach large populations simultaneously and bring about a tangible change in ECD promotion.
ANALISIS PENGARUH KUALITAS PRODUK, KUALITAS LAYANAN, DAN PERSEPSI HARGA TERHADAP KEPUASAN KONSUMEN WIFI INDIHOME DI DAERAH ISTIMEWA YOGYAKARTA
Authors: Engelka Leon , Kartika Lucia Nurbani 
Published: August 2023

ABSTRACT This study aims to analyze the effect of product quality, service quality and price perceptions on consumer satisfaction with indiHome wifi in the Special Region of Yogyakarta. This study uses a quantitative approach method. The population in this study is IndiHome wifi consumers, with Non-probability sampling technique, namely those who have subscribed and used indiHome wifi for at least or more than 1 month and at least 17 years old. The sampels taken in this study were 100 respondents. In terms of taking sampel data, it is done through a survei method by distributing questionnaires via Google Form to respondents. Then the researchers used the SPPS version 26 application to process respondent data and used analytical techniques in the form of descriptive analysis, multiple linear regression with hypothesis testing, namely the F test, the coefficient of determination (R2), and the t test which was preceded by the research instrumen test, namely the validity test and reliability test. Based on the results of the data obtained, the conclusions of the three independent variables, namely product quality, service quality, and price perceptions have a positive and significant influence on the dependent variable, namely simultaneous or partial consumer satisfaction. Thus, all the hypotheses in this study can be accepted. Keywords: Product Quality, Service Quality, Price Perception and Consumer Satisfaction ABSTRAK Penelitian ini bertujuan untuk menganalisis pengaruh dari variabel kualitas produk, kualitas layanan dan persepsi harga terhadap kepuasan konsumen wifi indiHome di Daerah Istimewa Yogyakarta. Penelitian ini menggunakan metode pendekatan kuantitatif. Populasi dalam penelitian ini adalah konsumen wifi IndiHome, dengan Teknik pengambilan sampel Non-probability sampling, yaitu mereka yang pernah berlangganan dan menggunakan wifi indiHome minimal atau lebih dari 1 bulan dan minimal berusia 17 tahun. Sampel yang diambil dalam penelitian ini sebanyak 100 responden. Dalam hal pengambilan data sampel, dilakukan melalui metode survei dengan cara menyebar kuesioner melalui Google Form kepada responden. Kemudian peneliti menggunakan aplikasi SPPS versi 26 untuk mengolah data responden serta menggunakan teknik analisis berupa analisis deskriptif, regresi linier berganda dengan uji hipotesis yaitu Uji F, Koefisien Determinasi (R2), dan Uji t yang didahului dengan uji instrumen penelitian yaitu uji validitas dan uji reliabilitas. Berdasarkan hasil data yang diperoleh, kesimpulan dari ketiga variabel bebas yaitu kualitas produk kualitas layanan, dan persepsi harga memiliki pengaruh positif dan signifikan terhadap variabel terikat yaitu kepuasan konsumen secara simultan maupun parsial. Maka dengan demikian semau hipotesis di dalam penelitian ini dapat diterima. Kata kunci: Kualitas Produk, Kualitas Layanan, Persepsi Harga dan Kepuasan Konsumen
ANALISIS KREDIT PERBANKAN STUDI KASUS PADA 10 BANK TERBESAR DI INDONESIA
Authors: Nugraha Desta Arya , Lestari Murti 
Published: August 2023

ABSTRAK Penyaluran kredit merupakan kegiatan pokok usaha perbankan. Dalam perkreditan terdapat sisi permintaan dan penawaran. Penawaran kredit berarti kemampuan bank sebagai debitur dalam menyediakan pinjaman bagi nasabah yang dapat dilihat dari berbagai rasio dalam laporan keuangan bank tersebut. Penelitian ini bertujuan untuk menganalisis penawaran kredit bank khususnya selama pandemi virus covid-19. Dasar dilakukannya penelitian ini yaitu karena pandemi covid-19 berdampak pada munculnya masalah perekonomian nasional, antara lain tingginya angka kredit macet serta berkurangnya permintaan kredit. Objek dalam studi ini merupakan 10 bank dengan nilai aset terbesar di Indonesia dengan harapan menjadi role model bagi bank lainnya. Berdasarkan jumlah sampel beserta periode waktu yang akan diteliti pada studi ini, peneliti menggunakan metode ekonometrika dengan mengestimasi regresi data panel untuk menguji pengaruh CAR, NPL, ROA, SBK, DPK, LDR, inflasi, dan covid-19 terhadap penawaran kredit bank di Indonesia. Pendekatan yang tepat digunakan yaitu Random effect Model. Hasil penelitian menunjukkan bahwa variabel Suku bunga kredit, DPK, LDR, dan covid-19 berpengaruh signifikan terhadap penyaluran kredit. Sedangkan CAR, NPL, ROA, dan Inflasi tidak berpengaruh signifikan terhadap penyaluran kredit. Kata kunci : Covid-19;Penyaluran kredit ABSTRACT Credit distribution is the main activity of the bank. In credit there is a demand and supply side. Credit supply means the ability of a bank as a debtor to provide loans to customers which can be seen from the various ratios in the bank's financial statements. This study aims to analyze bank credit offers, especially during the covid-19 virus pandemic. The basis for this research is that the COVID-19 pandemic has had an impact on the emergence of national economic problems, including the high number of bad loans and reduced demand for credit. The objects in this study are the 10 banks with the largest asset values in Indonesia with the hope of becoming role models for other banks. Based on the number of samples and the time period to be examined in this study, the researcher uses the econometric method by estimating the panel data regression to examine the effect of CAR, NPL, ROA, SBK, TPF, LDR, inflation, and covid-19 on bank credit supply in Indonesia. The right approach used is the Random effect Model. The results showed that the variables of loan interest rates, deposits, LDR, and covid-19 had a significant effect on lending. Meanwhile, CAR, NPL, ROA, and Inflation have no significant effect on lending. Keyword : Covid-19;lending
Quantitative microbial risk assessment associated with the use of container-based toilets in Haiti
Authors: Jean-Baptiste Davidson , De Giudici Pascal , Monette Frédéric 
Published: August 2023

Abstract

A container-based toilet (CBT) is a type of ecological toilet that allows users to compost their feces. During emptying, bucket washing, and composting operations, operators are exposed to microbial risks. This paper aims to evaluate these risks using the Quantitative Microbial Risk Assessment (QMRA) method. Nine pathogens prevalent in Haiti were targeted: Ascaris lumbricoides, Campylobacter spp., Cryptosporidium parvum, Escherichia coli O157:H7, Giardia intestinalis, poliovirus, Salmonella spp., Shigella spp., and Vibrio cholerae. Information regarding pathogens' concentration in feces came from scientific literature data. The exposure scenarios considered were those in which operators accidentally ingested a low dose of feces during the aforementioned operations. A Monte Carlo simulation was conducted to address uncertainties. The results showed that the probability of infection is highly elevated, while the probability of illness is generally moderate or minor, except for poliovirus and Ascaris. Preventive measures can be implemented to reduce these risks during various operations, such as wearing gloves, disposable protective masks, and appropriate clothing. It is up to the political authorities to develop guidelines in this regard and to organize awareness-raising activities with the help of local organizations mandated by the relevant authorities to ensure the safer use of technology by households.
A Comprehensive, Valid, and Reliable Tool to Assess the Degree of Responsibility of Digital Health Solutions That Operate With or Without Artificial Intelligence: 3-Phase Mixed Methods Study
Authors: Lehoux Pascale , Rocha de Oliveira Robson , Rivard Lysanne , Silva Hudson Pacifico , Alami Hassane , Mörch Carl Maria , Malas Kathy 
Published: August 2023

Background
Clinicians’ scope of responsibilities is being steadily transformed by digital health solutions that operate with or without artificial intelligence (DAI solutions). Most tools developed to foster ethical practices lack rigor and do not concurrently capture the health, social, economic, and environmental issues that such solutions raise.

Objective
To support clinical leadership in this field, we aimed to develop a comprehensive, valid, and reliable tool that measures the responsibility of DAI solutions by adapting the multidimensional and already validated Responsible Innovation in Health Tool.

Methods
We conducted a 3-phase mixed methods study. Relying on a scoping review of available tools, phase 1 (concept mapping) led to a preliminary version of the Responsible DAI solutions Assessment Tool. In phase 2, an international 2-round e-Delphi expert panel rated on a 5-level scale the importance, clarity, and appropriateness of the tool’s components. In phase 3, a total of 2 raters independently applied the revised tool to a sample of DAI solutions (n=25), interrater reliability was measured, and final minor changes were made to the tool.

Results
The mapping process identified a comprehensive set of responsibility premises, screening criteria, and assessment attributes specific to DAI solutions. e-Delphi experts critically assessed these new components and provided comments to increase content validity (n=293), and after round 2, consensus was reached on 85% (22/26) of the items surveyed. Interrater agreement was substantial for a subcriterion and almost perfect for all other criteria and assessment attributes.

Conclusions
The Responsible DAI solutions Assessment Tool offers a comprehensive, valid, and reliable means of assessing the degree of responsibility of DAI solutions in health. As regulation remains limited, this forward-looking tool has the potential to change practice toward more equitable as well as economically and environmentally sustainable digital health care.
Related Party Transactions and Audit Quality: Evidence on the Efficacy of Auditing Standard No. 18
Authors: Ahmed Anwer S. , Al-Dah Bilal , El-Helaly Moataz , Fleszar Krzysztof 
Published: August 2023

SUMMARY
We provide evidence on the efficacy of Auditing Standard No. 18 (AS18) for auditing-related party transactions (RPTs). We measure audit quality using general restatements and RPT-related restatements. Using a sample of S&P 1500 firms from 2011 through 2018, we find that RPT firms are significantly less likely to report a general restatement compared with non-RPT firms after AS18. We also classify RPTs into business RPTs and nonbusiness RPTs based on the type of transactions and the transacting party. We find that business RPT firms are (1) less likely to have general restatements after AS18 relative to non-RPT firms and (2) less likely to have RPT-related restatements relative to nonbusiness RPT firms. AS18 does not have any effects on nonbusiness RPTs. Our results are driven by S&P MidCap 400 and S&P SmallCap 600 firms. Overall, our findings suggest that AS18 has enhanced the quality of business RPT auditing.
Data Availability: Data are available from the public sources cited in the text.
JEL Classifications: M41; M42.
Big Data Analytics and Management Forecasting Behavior
Authors: Goh Beng Wee , Li Na , Ranasinghe Tharindra 
Published: August 2023

SYNOPSIS
This paper investigates whether the use of Big Data analytics by firms has a spillover effect on management forecasting behavior. Insights provided by Big Data could potentially improve firms’ ability to forecast earnings (supply channel) and investor demand for earnings information is likely higher for firms engaging in data analytics (demand channel). Using a text-based measure of firms’ commitments to and usage of Big Data analytics, we find that Big Data analytics usage is positively associated with the propensity to issue management earnings forecasts. Consistent with the “supply channel” explanation, we find that Big Data analytics usage is positively associated with management forecast accuracy as well. Also, supporting the “demand channel” explanation, we find that Big Data analytics usage is associated with greater analyst following. Our findings of improved disclosure following commitments to Big Data analytics highlight a potentially unintended benefit of the Big Data revolution.
Did FASB Interpretation Number 48 (FIN 48) Affect Noninnovative Corporate Investment?
Authors: Goldman Nathan C. 
Published: August 2023

ABSTRACT
As firms lower innovative investment in response to FASB Interpretation Number 48 (FIN 48), they choose between reallocating those funds to noninnovative investment, not changing noninnovative investment, or lowering noninnovative investment. Using a difference-in-differences research design, I provide evidence of the latter outcome. I also show that the results persist each year following FIN 48, are consistent across both types of noninnovative investment, and are more prominent among firms with declining research and development (R&D) and among firms not previously under continuous audit. I also provide evidence that these effects are mitigated when managers have greater incentives to reallocate investment. My findings respond to Blouin and Robinson (2014) call to understand the real effects of FIN 48 by providing evidence that it lowers firms’ incentives for noninnovative investment.
Tax Avoidance and Corporate Social Responsibility: A Meta-Analysis
Authors: Marques Mário , Montenegro Tânia Menezes , Brás Filomena Antunes 
Published: August 2023

ABSTRACT
We analyze 117 estimates from 23 studies that examine the relationship between corporate social responsibility (CSR) and corporate tax aggressiveness. The meta-regression results indicate that both CSR and tax avoidance proxies play a role in explaining the differences in estimates of primary studies. Data samples and econometric specifications also explain some of the heterogeneity. We use meta-regression results to predict the association between CSR and tax avoidance for several hypothetical and plausible study designs and find either no or a small to moderate association between the constructs, indicating that firms decouple CSR from tax avoidance. Interestingly, evidence suggests that such a relationship exists in settings of extreme CSR and tax avoidance behaviors. Academic research has not yet explored the determinants of the heterogeneity of the empirical evidence on the relationship between CSR and tax avoidance. This meta-analysis fills this gap and provides useful insights for future research, practice, and regulation.
JEL Classifications: C19; H26; M14.
All-Cause Mortality and Cardiovascular and Microvascular Diseases in Latent Autoimmune Diabetes in Adults
Authors: Wei Yuxia , Herzog Katharina , Ahlqvist Emma , Andersson Tomas , Nyström Thomas , Zhan Yiqiang , Tuomi Tiinamaija , Carlsson Sofia 
Published: August 2023

OBJECTIVE
Latent autoimmune diabetes in adults (LADA) is a heterogenous, slowly progressing autoimmune diabetes. We aim to contribute new knowledge on the long-term prognosis of LADA with varying degrees of autoimmunity by comparing it to type 2 diabetes and adult-onset type 1 diabetes.

RESEARCH DESIGN AND METHODS
This Swedish population-based study included newly diagnosed LADA (n = 550, stratified into LADAlow and LADAhigh by median autoimmunity level), type 2 diabetes (n = 2,001), adult-onset type 1 diabetes (n = 1,573), and control subjects without diabetes (n = 2,355) in 2007–2019. Register linkages provided information on all-cause mortality, cardiovascular diseases (CVDs), diabetic retinopathy, nephropathy, and clinical characteristics during follow-up.

RESULTS
Mortality was higher in LADA (hazard ratio [HR] 1.44; 95% CI 1.03, 2.02), type 1 (2.31 [1.75, 3.05]), and type 2 diabetes (1.31 [1.03, 1.67]) than in control subjects. CVD incidence was elevated in LADAhigh (HR 1.67; 95% CI 1.04, 2.69) and type 2 diabetes (1.53 [1.17, 2.00]), but not in LADAlow or type 1 diabetes. Incidence of retinopathy but not nephropathy was higher in LADA (HR 2.25; 95% CI 1.64, 3.09), including LADAhigh and LADAlow than in type 2 diabetes (unavailable in type 1 diabetes). More favorable blood pressure and lipid profiles, but higher HbA1c levels, were seen in LADA than type 2 diabetes at baseline and throughout follow-up, especially in LADAhigh, which resembled type 1 diabetes in this respect.

CONCLUSIONS
Despite having fewer metabolic risk factors than type 2 diabetes, LADA has equal to higher risks of death, CVD, and retinopathy. Poorer glycemic control, particularly in LADAhigh, highlights the need for improved LADA management.
Neuroevolution untuk optimalisasi parameter jaringan saraf tiruan
Authors: Purnomo Hindriyanto Dwi , Gonsalves Tad , Wahyono Teguh , Saian Pratyaksa Ocsa Nugraha 
Published: August 2023

Jaringan saraf tiruan merupakan metode supervised learning yang telah diterapkan untuk menyelesaikan berbagai permasalahan klasifikasi. Sebagai metode supervised learning, jaringan saraf tiruan memerlukan data training untuk mengidentifikasi pola dalam data sehingga fase learning menjadi penting. Pada fase learning, konfigurasi bobot pada jaringan saraf tiruan diatur sehingga jaringan saraf tiruan tersebut bisa mengenali pola di dalam data. Pada penelitian ini diusulkan metode untuk mengoptimalkan nilai bobot pada konfigurasi jaringan saraf tiruan menggunakan pendekatan neuroevolution. Neuroevolution adalah pengintegrasian metode evolutionary algorithm; termasuk di dalamnya adalah berbagai metode metaheuristik; dengan jaringan saraf tiruan. Secara khusus, penelitian ini menggunakan metode particle swarm optimization untuk mengoptimalkan bobot pada jaringan saraf tiruan. Kinerja model yang diusulkan dibandingkan dengan metode backpropagation dengan stochastic gradient descent menggunakan lima dataset: iris, wine, breast cancer, ecoli, dan wheat seeds. Hasil eksperimen menunjukkan bahwa model yang diusulkan memiliki akurasi yang lebih baik di tiga dataset dari lima dataset dan memiliki kinerja yang sama di dua dataset. Hasil penelitian ini mengindikasikan bahwa pendekatan neuroevolution memiliki potensi sebagai metode optimalisasi parameter pada jaringan saraf tiruan. Penelitian ini bisa dikembangkan dengan mengidentifikasi karakteristik konvergensi dari pendekatan neuroevolution maupun menerapkan berbagai metode evolutionary algorithm untuk mengoptimalkan nilai bobot pada jaringan saraf tiruan.
Korelasi Kompetensi Pedagogik dan Percaya Diri Guru Terhadap Keberhasilan Program SMK Pusat Keunggulan
Authors: Firdaus Joni , Sarmini Sarmini , Safitri Julia 
Published: August 2023

SMK Multistudi High School Batam is one of 895 SMKs in Indonesia selected by the government in 2021 to implement the SMK Center of Excellence program. This program hopes to help teachers solve every learning problem to prepare graduates ready to compete in the world of work. This quantitative study uses a sample of 45 teachers at SMK Multistudi High School Batam. This study aims to analyze the correlation between pedagogic competence and teacher confidence in the success of the SMK Center of Excellence program. The result of the study shows that there is a positive and significant correlation between pedagogical competence and the success of the Center for Excellence Vovatiobal High School program, with the result of the t-test showing t count 5.379 >ttable 1.679 ans sig.0.000< α 0.05. It turns out that teacher self-confidence is not correlated with the success of the Center for Excellence Vocational High School program, where the t-score shows a t-score of 0.097 < t-table of 1.679 and sig.0.454 > α 0.05. The study's results show a partially positive and significant correlation between pedagogical competence and teacher confidence in the success of the Center of Excellence in Vocational High School program, with the F test results showing a significance value of less than 0.05 (0.000<0.05).