bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Model of Intervention and Implementation of Quality Building and Quality Control in Childcare Centers to Strengthen the Mental Health and Development of 1-3–Year Olds: Protocol for a Randomized Controlled Trial of Thrive by Three
Authors: Lekhal Ratib , Drugli May Britt , Berg-Nielsen Turid Suzanne , Buøen Elisabet Solheim 
Published: August 2020

BackgroundUniversal, high-quality childcare offers a unique opportunity to prevent developmental trajectories leading to mental health problems. Yet, growing evidence has shown that the process quality of Norwegian childcare centers varies considerably, and that research-based models for quality building are significantly lacking.ObjectiveTo examine whether a model for quality building in childcare centers, Thrive by Three, increases the quality of child–caregiver interactions, and promotes child development, well-being, and mental health.MethodsThe Thrive by Three study is a clustered randomized controlled trial involving 187 toddler groups in childcare centers across 7 municipalities within southern and central Norway. Each center is randomly allocated to the intervention or wait-list control group. Data are collected at 4 points: preintervention (T1), midway (T2), postintervention (T3), and 1-year postintervention (T4). Primary outcomes are changes in childcare quality measured by the Classroom Assessment Scoring System toddler version (CLASS), Student–Teacher Relationship Scale, Short Form (STRS-SF), and Life in Early Childhood Programs (LECP), as well as child development and mental health measured by The Brief Infant Toddler Social and Emotional Assessment (BITSEA, parent and teacher report), the Caregiver–Teacher Report Form (C-TRF), and Child Behavior Checklist (parent report) from the Achenbach System of Empirically Based Assessment (ASEBA) from 1.5 to 5 years, and child well-being measured by the Leiden Inventory for Child’s Well-Being in Day Care (LICW-D). Secondary outcomes are child cortisol levels, assessed in a subsample of 372 children.ResultsAs of August 2020, a total of 1531 children and 769 staff from 187 toddler groups were recruited. Because of turnover, the recruitment of staff will be ongoing until August 2020. As of January 2020, the intervention group has been working with Thrive by Three for 1.5 years. Data at T1, T2, and T3 from both the intervention and control groups have been completed and T4 will be completed in August 2020.ConclusionsThis study makes an important contribution to the field of quality building in childcare centers. The results will provide greater insight into how high quality can be obtained and the effects of high-quality early childcare on child mental health. This in turn will be significant for policymakers and to the Norwegian society at large.Trial RegistrationClinicalTrials.gov NCT03879733; https://clinicaltrials.gov/ct2/show/NCT03879733 and Norwegian Research Council 260624/H10; https://prosjektbanken.forskningsradet.no/#/project/NFR/260624/Sprak=enInternational Registered Report Identifier (IRRID)DERR1-10.2196/17726
A Web-Delivered Acceptance and Commitment Therapy Intervention With Email Reminders to Enhance Subjective Well-Being and Encourage Engagement With Lifestyle Behavior Change in Health Care Staff: Randomized Cluster Feasibility Stud
Authors: Brown Menna , Hooper Nic , James Phillip , Scott Darren , Bodger Owen , John Ann 
Published: August 2020

Background
Poor mental health and emotional well-being can negatively impact ability to engage in healthy lifestyle behavior change. Health care staff have higher rates of sickness and absence than other public sector staff, which has implications at both individual and societal levels. Individual efforts to self-manage health and well-being which add to the UK mental health prevention agenda need to be supported.

Objective
The objective of this study was to establish the feasibility and acceptability of the inclusion of a self-guided, automated, web-based acceptance and commitment therapy intervention in an existing health promotion program, to improve subjective well-being and encourage engagement with lifestyle behavior change.

Methods
For this 12-week, 4-armed, randomized controlled cluster feasibility study, we recruited participants offline and randomly allocated them to 1 of 3 intervention arms or control (no well-being intervention) using an automated web-based allocation procedure. Eligibility criteria were current health care staff in 1 Welsh health board, age≥18 years, ability to read English, and ability to provide consent. The primary researcher was blinded to cluster allocation. Feasibility outcomes were randomization procedure, acceptance of intervention, and adherence to and engagement with the wider program. We evaluated health and well-being data via self-assessment at 2 time points, registration and postintervention, using the 14-item Warwick-Edinburgh Mental Well-Being Scale, the 4-item Patient Health Questionnaire, and the 7-item Acceptance and Action Questionnaire—Revised.

Results
Of 124 participants who provided consent and were randomly allocated, 103 completed full registration and engaged with the program. Most participants (76/103) enrolled in at least one health behavior change module, and 43% (41/96) of those randomly allocated to an intervention arm enrolled in the well-being module. Adherence and engagement was low (7/103, 6.8%), but qualitative feedback was positive.

Conclusions
The procedure and randomization process proved feasible, and the addition of the well-being module proved acceptable to health care staff. However, participant engagement was limited, and no one completed the full 12-week program. User feedback should be used to develop the intervention to address poor engagement. Effectiveness should then be evaluated in a full-scale randomized controlled trial, which would be feasible with additional recruitment.

Trial Registration
International Standard Randomised Controlled Trial Number (ISRCTN) 50074817; http://www.isrctn.com/ISRCTN50074817
Effect of Previous Translations on Retranslation: A Case Study of Russian-Dutch Literary Translation
Authors: Van Poucke Piet 
Published: August 2020

As Outi Paloposki and Kaisa Koskinen (2010) correctly stated in their article on the “fine line between retranslating and revising”, the exact relationship of a text with the previous translation(s) cannot always be determined, even if the most recent translation is presented (in the paratext to the edition) as a ‘retranslation’, ‘re-edition’ or ‘revision’. Indeed, in practice the “labels” of “(re)translation, (…) revisions, adaptations and retellings” are “hard to separate and cover different contents” in different circumstances (Van Coillie 2014).
In this paper I will try to study the effect of a first or previous translation on the process of retranslating. In order to do that I will compare a number of literary translations with their predecessors. Literary translations are specifically chosen here because they are probably more often retranslated than other types of texts. Moreover, the style of the translated text is presumably more important than for other genres, which allows me to mutually compare the translations not only at lexical and syntactic, but also at stylistic level.
In order to visualize the effect of a previous translation on a retranslation I will compare a number of Dutch translations of Russian literary works with their retranslations. On the one hand, I will compare three recent retranslations with older translations of the same work, ordered and published by the same publishing house, and explicitly announced to the reader as a ‘refreshed’ and reworked translation of the previous one. In these particular cases the retranslators were fully aware of the existence of another translation and the explicit reference to ‘retranslation’ virtually forced them to use the previous translation as a starting point. In order to avoid the influence of (1) the changing translation strategies throughout time, and (2) the possible idiosyncratic peculiarities of the specific translation strategy of one particular (but not representative) translator, I will use translations made by three different translators and published in approximately the same period.
On the other hand, I will investigate two Dutch translations of the same Russian literary work, that were made independently from each other and were published virtually on the same day, as the translators were unaware of each other’s translation effort. In this case the ‘previous’ (the term is not really applicable in this case) translation could not have had any effect on the ‘retranslation’, which makes it an interesting case to compare with the three genuine ‘retranslations’.
Special attention will be drawn to the differences in the translator’s decisions at lexical, syntactical and stylistic level. More specifically, the analysis will include a quantitative and qualitative approach. I will establish the amount of overlap in lexical, syntactical and stylistic choices in the four pairs of texts, and will try to find whether the retention or substitution of certain terms and linguistic features can be explained.
The Constitutional Power Of The Executive in The Age of Rule of Law: A Comparative Study on Malaysia and Indonesia
Authors: Aziz Norazlina binti Abdul , Ristawati Rosa 
Published: August 2020

The rule of law sets as an important principle entrenched in the Constitution of Malaysia and Indonesia. This principle stand as a guardian against abuse of power by the government as nobody shall be above the law. This paper examines the practices of the executive power relating to decision-making policy, execution of power and enforcement activities in Malaysia and Indonesia. It also analyses how the executive branch perfoms the powers in accordance to the rule of law. It mainly focuses on the institutional framework of the head of the government and head of state. The analysis allows for identifications of issues and proposals on the enhancement of the executive branch in both countries that would increase the quality of state administration as well as promoting the rule of law. The study adopts a normative method where the fundamental discussions are based on normative approach with content analysis approach on the constitutional and legal provisions, legal cases, circular and directive. The data acquired through doctrinal study is supported by semi-structured interviews with respondents that have been selected through purposive approach. This article concludes that the executive branch plays important roles in promoting the rule of law in both countries. The Constitution, in this case, provides constitutional limitation for the institutional branch of the executive to perform its powers. In the age of rule of law, the executive powers has to be limited. There is no power without limits. The laws has to provide a clear legal direction and reliable mechanism of checks and balances to govern the exercise of the executive powers.
The Legality of Doctrine of Frustration in the Realm of Covid-19 Pandemic
Authors: Jayabalan Sheela 
Published: August 2020

The outbreak of the novel coronavirus (“COVID-19-Outbreak”) has a potential impact in the performance of a contract. If a contract does not contain a force majeure clause, a contracting party may look to the common law doctrine of frustration to relieve it from its obligations. Unlike force majeure clauses which focuses on the parties' express intention on how to deal with supervening events, frustration is implied by law and thus would only be considered in the absence of an express force majeure clause. In Malaysia, the doctrine of frustration is codified in section 57(2) of the Contracts Act 1957. A doctrinal analogy of the doctrine of frustration and section 57 of the Contracts Act 1950 indicates a pandemic such as the covid-19 would not frustrate a contract. Force majeure clause should be used as a protective tool to prevent losses to the contracting parties or alternatively the Principles of European Contract Law and the Unidroit Principles that make provisions for hardship as well as force majeure should be implemented.
Debt and Voluntary Disclosure
Authors: Beyer Anne , Dye Ronald A. 
Published: August 2020

ABSTRACT
This paper studies equilibrium voluntary disclosures for a company financed with both debt and equity, where the firm's manager is compensated based on a linear combination of the market prices of the firm's equity and enterprise values (i.e., the sum of its values of equity and debt). Such compensation policies span “all equity” contracts, “all debt” contracts, and “all enterprise value” contracts. We show: (1) under both “all equity” and “all debt” contracts, increased debt always leads to reduced voluntary disclosure; (2) under “all enterprise value” contracts, increased debt has no effect on voluntary disclosure; (3) for all contracts that place positive weight on both equity and enterprise values, more debt leads to less (respectively, more) disclosure if the initial debt level is low (respectively, high); (4) increasing the weight on equity prices always induces less disclosure, so: (5) “all equity” contracts minimize disclosures, and “all debt” contracts maximize disclosures.
THE CONTENT OF COMPLEX VISUAL HALLUCINATIONS
Authors: MĂRĂŞOIU Andrei Ionuţ 
Published: August 2020

According to a widespread view about the content of conscious experience (Peacocke, 1992; Siegel, 2007), an experience has content when it is accurate relative to a possible scenario. Suppose you saw a ripe tomato. Your visual experience would have content if what you saw looked exactly like a ripe tomato, be it a genuine tomato or an expertly designed wax copy of a tomato. I argue that this view cannot account for the content of a hallucination whose content is impossible. A 95-year old patient seems to see small pumpkins and flowers coming out of her body (Rocha et al., 2012). Intuitively, the patient's hallucination has content. But the accuracy-conditions view has to classify the experience as devoid of content, because what the patient hallucinated is impossible – accurate to no possible scenario. On the concept of flower we possess, it is incoherent for flowers to erupt from under one's skin. This visual hallucination is a counterexample to the view that an experience is endowed with content only relative to its accuracy conditions.
TikTok
Authors: Quiroz Natalia Tamara 
Published: August 2020

Este artículo aborda los usos que hacen las y los jóvenes de la aplicación móvil y red social de videos TikTok. Durante el aislamiento causado por la pandemia de COVID-19 se convirtió en la app más descargada y usada. A diferencia de Instagram, TikTok pone en acción a la juventud porque participan activamente de las tendencias que incluyen challenges de baile, actuaciones, tutoriales, entre otros. En esta plataforma coexisten distintos tipos de entretenimiento; sin embargo, su algoritmo secreto pone en duda si visibiliza en mayor medida a jóvenes que cumplen con ciertos estereotipos de belleza.
Nihil novum sub sole
Authors: Storni Paula 
Published: August 2020

En el siguiente artículo se realiza una síntesis de los principales debates que han aparecido en la esfera educativa frente al contexto de pandemia y de aislamiento preventivo social obligatorio, retos que, en muchos casos, ya han formado parte de algún capítulo de la historia de la educación. El carácter de excepcional se sitúa en esta contextualidad radical y no tanto en las demandas o los reclamos que desde la sociedad se le hacen hoy a la escuela. La idea de la crisis de la educación, las oposiciones entre las esferas pública y privada, lo virtual y lo presencial, la inclusión y la exclusión, forman parte de una larga tradición de debates. El interrogante clave es hoy cómo pensar en una educación sin escuelas.
Aplikasi Penentuan Rute dan Waktu Tempuh ke Halte Transjakarta Terdekat dengan Algoritma Djikstra Berbasis Location Base System
Authors: Dewi Ra'idah Naufaliana , Atmodjo WP Dwi , Purwaningsih Mardiana 
Published: August 2020

Saat ini sudah ada aplikasi yang dapat diinstal di ponsel pintar untuk membantu mencari posisi halte terdekat, akan tetapi pengguna harus benar-benar tahu titik keberadaannya saat itu. Hal ini dapat menyulitkan apabila penumpang tersebut adalah pendatang yang tidak mengetahui dengan benar posisinya. Penelitian dengan tujuan menentukan rute dan waktu tempuh ke halte Transjakarta terdekat ini dibuat dengan pendekatan algoritme Dijkstra pada aplikasi mobile di atas platform Android. Aplikasi ini akan dibantu oleh GPS untuk mencari halte terdekat dari posisi pengguna. Aplikasi ini juga dilengkapi dengan deskripsi perjalanan, estimasi waktu tempuh, dan rute alternatif menuju halte Transjakarta. Kelebihan aplikasi ini adalah apabila Wi-Fi atau data seluler tidak berfungsi tetap dapat digunakan karena metode ini akan tetap menunjukkan rute yang perlu ditempuh dengan deskripsi perjalanan yang dimilikinya. Penentuan rute terdekat dalam aplikasi ini tidak perlu menentukan titik akhir seperti halnya aplikasi yang menggunakan algoritme Djikstra lainnya, bahkan dapat memberikan beberapa alternatif halte terdekat. Hal ini dimungkinkan karena aplikasi ini juga menggunakan algoritme Bubblesort untuk mengurutkan halte. Karena tiap halte Transjakarta sudah terintegrasi sehingga kemana pun tujuan dapat diakses dari halte terdekat dan di halte tersebut sudah ada informasi halte transit sesuai dengan tujuan. AbstractCurrently there are applications that can be installed on a smart phone to help find the position of the nearest bus stop, but the user must really know the point of existence at that time. This can be difficult if the passenger is a migrant who does not know his position correctly. The approach used to determine the route and travel time to the nearest Transjakarta bus stop in this study is to use Dijkstra's algorithm on a mobile application on the Android platform. This application will be assisted by GPS to find the nearest stop from the user's position. This application is also equipped with a description of the trip, estimated travel time, and alternative routes to the Transjakarta bus stop. The advantage of this application is that if Wi-Fi or cellular data does not work it can still be used because this method will still show the route that needs to be taken with the description of the trip it has. Determining the closest route in this application does not need to determine the end point as well as applications that use other Djikstra algorithms, can even provide several alternative stops nearby. This is possible because this application also uses the Bubblesort algorithm to sort stops. Because each Transjakarta bus stop has been integrated so that wherever the destination can be accessed from the nearest bus stop and at the stop there is already a transit stop information in accordance with the destination.
Analisis Rekomendasi Calon Debitur Motor pada PT.XYZ menggunakan Algortima C 4.5
Authors: Nurellisa Lilis , Fitrianah Devi 
Published: August 2020

PT.XYZ merupakan perusahaan jasa pembiayaan atau leasing dengan berkonsentrasi kepada pembiayaan sepeda motor. Dalam bisnisnya PT.XYZ sering sekali dihadapkan oleh masalah kredit macet atau bahkan penipuan. Hal ini dikarenakan kesalahan dalam pemberian kredit kepada calon debitur yang tidak potensial. Jika tidak ditangani hal ini tentu saja akan berdampak buruk bagi perusahaan. Perusahaan mengalami penurunan kemampuan dalam membayar angsuran pinjaman ke perbankan bahkan dapat berdampak pada kebangkrutan. Dalam hal ini PT.XYZ perlu melalukan analisis untuk menentukan calon debitur yang potensial dengan menggunakan data driven method atau pendekatan berbasis kepada data. Yaitu pengambilan keputusan dengan melihat data pengajuan kredit yang pernah ada sebelumnya yang disebut juga sebagai supervised learning. Algoritma yang digunakan adalah algoritma C4.5 karena algoritma ini dapat mengklasifikasi data yang sudah ada sebelumnya. Dengan algoritma ini akan dihasilkan sebuah pohon keputusan yang akan membantu PT.XYZ dalam pengambilan keputusan. Dengan pengujian menggunakan 3587 sampel data pengajuan kredit dalam kurun waktu 1 tahun akurasi yang didapatkan ialah 97,96%. Dengan begitu hal ini menunjukkan bahwa metode klasifikasi menggunakan algoritma C4.4 berhasil diimplementasikan dengan baik. Hal ini diharapkan dapat membantu PT.XYZ dalam merekomendasikan calon debitur yang potensial. AbstractPT. XYZ is a finance or leasing service company by concentrating on motorcycle financing. In its business, PT. XYZ is often faced with problems of bad credit or even fraud. This is due to an error in giving credit to potential debtors. If it is not handled this, of course, will have a bad impact on the company. Companies experiencing a decline in the ability to repay loan installments to banks can even have an impact on bankruptcy. In this case, PT. XYZ needs to do an analysis to determine potential debtors using data-driven methods or data-based approaches. That is decision making by looking at credit application data that has never been before, which is also called supervised learning. The algorithm used is the C4.5 algorithm because this algorithm can classify pre-existing data. With this algorithm, a decision tree will be produced that will help PT. XYZ in decision making. By testing using 3587 samples of credit filing data within a period of 1 year the accuracy obtained was 97.96%. That way this shows that the classification method using the C4.4 algorithm is successfully implemented properly. This is expected to help PT. XYZ in recommending potential debtors.
Model Prediksi Interaksi Senyawa dan Protein untuk Drug Repositioning menggunakan Deep Semi-Supervised Learning
Authors: Larasati Larasati , Kusuma Wisnu Ananta , Annisa Annisa 
Published: August 2020

Drug repositioning adalah penggunaan senyawa obat yang sudah lolos uji sebelumnya untuk mengatasi penyakit baru selain penyakit awal obat tersebut ditujukan. Drug repositioning dapat dilakukan dengan memprediksi interaksi senyawa obat dengan protein penyakit yang bereaksi positif. Salah satu tantangan dalam prediksi interaksi senyawa dan protein adalah masalah ketidakseimbangan data. Deep semi-supervised learning dapat menjadi alternatif untuk menangani model prediksi dengan data yang tidak seimbang. Proses pre-training berbasis unsupervised learning pada deep semi-supervised learning dapat merepresentasikan input dari unlabeled data (data mayoritas) dengan baik dan mengoptimasi inisialisasi bobot pada classifier. Penelitian ini mengimplementasikan Deep Belief Network (DBN) sebagai pre-training dan Deep Neural Network (DNN) sebagai classifier. Data yang digunakan pada penelitian ini adalah dataset ion channel, GPCR, dan nuclear receptor yang bersumber dari pangkalan data KEGG BRITE, BRENDA, SuperTarget, dan DrugBank. Hasil penelitian ini menunjukkan pada dataset tersebut, pre-training berupa ekstraksi fitur memberikan efek optimasi dilihat dari peningkatan performa model DNN pada akurasi (3-4.5%), AUC (4.5%), precision (5.9-6%), dan F-measure (3.8%). AbstractDrug repositioning is the reuse of an existing drug to treat a new disease other than its original medical indication. Drug repositioning can be done by predicting the interaction of drug compounds with disease proteins that react positively. One of the challenges in predicting the interaction of compounds and proteins is imbalanced data. Deep semi-supervised learning can be an alternative to handle prediction models with imbalanced data. The unsupervised learning based pre-training process in deep semi-supervised learning can represent input from unlabeled data (majority data) properly and optimize initialization of weights on the classifier. This study implements the Deep Belief Network (DBN) as a pre-training with Deep Neural Network (DNN) as a classifier. The data used in this study are ion channel, GPCR, and nuclear receptor dataset sourced from KEGG BRITE, BRENDA, SuperTarget, and DrugBank databases. The results of this study indicate that pre-training as feature extraction had an optimization effect. This can be seen from DNN performance improvement in accuracy (3-4.5%), AUC (4.5%), precision (5.9-6%), and F-measure (3.8%).