nils-herrmann/clean_scirepeval huggingface dataset:
PERKEMBANGAN NILAI AGAMA DAN MORAL ANAK DAN PENDIDIKAN KEAGAMAAN ORANGTUA

Dalam rangka mencerdaskan kehidupan bangsa, pemerintah selama ini telah berusaha mengembangkan banyak program pendidikan yang melibatkan berbagai lembaga yang ada di dalam masyarakat, program pendidikan tersebut guna menjangkau seluruh warga masyarakat dari yang atas sampai lapisan paling bawah. Pendidikan anak usia dini (PAUD) merupakan pendidikan yang amat mendasar, karena pada masa usia dini merupakan masa emas golden age dan peletak dasar bagi pertumbuhan dan perkembangan anak selanjutnya. Pengertian Anak usia dini secara umum adalah anak anak yang berusia di bawah 6 tahun. Anak pada usia 4 6 tahun atau usia Taman Kanak kanak (pada jalur pendidikan formal sesuai dengan Undang undang RI Nomor 20 tahun 2003 pasal 28 tentang Pendidikan Anak Usia Dini) merupakan masa peka bagi anak, karena masa ini merupakan masa terjadinya pematangan fungsi fungsi fisik dan psikis yang siap merespon stimulasi lingkungan dan menginternalisasikan ke dalam pribadinya. Masa ini merupakan masa awal perkembangan fisik, kognitif, bahasa, sosial, emosional, konsep diri, disiplin, kemandirian, seni, moral, dan nilai nilai agama. Oleh karena itu dibutuhkan suatu kondisi dan stimulasi yang sesuai dengan kebutuhan anak agar pertumbuhan dan perkembangan tercapai secara optimal (Kemendiknas, 2010) Salah satu sikap dasar yang harus dimiliki anak untuk menjadi manusia yang baik dan benar adalah memiliki sikap dan nilai moral yang baik dalam berprilaku sebagai umat Tuhan, anak, anggota keluarga dan anggota masyarakat. Usia di masa Pendidikan Anak Usia Dini adalah saat yang paling baik dan tepat untuk meletakkan dasar dasar pendidikan nilai, moral, dan agama kepada anak. Walaupun peran orang tua sangatlah besar dalam membangun dasar moral dan agama bagi anak anaknya, peran pendidik Pendidikan Anak Usia Dini juga tidaklah kecil dalam meletakkan dasar moral dan agama bagi seorang anak (Hidayat, 2007:38)
Finite element simulation of residual stress and failure mechanism in plasma sprayed thermal barrier coatings using actual microstructure as the representative volume

The residual stress and failure mode of thermal barrier coating (TBC) containing metallic bond coat (BC) and ceramic top coat (TC) with and without thermally grown oxide (TGO) were predicted using a micromechanical based finite element method (FEM) Actual microstructures of the TBC taken by a scanning electron microscope (SEM) were utilized as the representative volume elements (RVEs) in the computational model. Failure mode of the representative volume was numerically simulated as thermal stress localization during thermal cycle. Computations were done on the representative volume to quantitatively assess the effects of thermal and mechanical properties of the TBC constituents as well as the presence of TGO on the macroscopic mechanical response of the TBC. Comparisons of computed results with experiments verified that, the computational method can successfully predict residual stress and crack initiation mode of the studied thermal barrier coatings. Moreover, based on the computed results, both shear and normal failure mode occur in the thermal barrier coating which is in good agreement with experimental findings.
Polymer bonded explosives (PBXs) with reduced thermal stress and sensitivity by thermal conductivity enhancement with graphene nanoplatelets

The two dimensional (2D) graphene nanoplatelets (GNPs) were adopted to enhance the thermal conductivity of PBX. The results indicated that, the thermal conductivity of PBX was only slightly improved with very low GNP loading (0.05 wt% and 0.15 wt% However, a remarkable enhanced effect was observed at a relatively high GNP loading (0.5 wt% and 1 wt% The thermal conductivity of PBX had a nonlinear dependence on the GNPs loading. The nonlinear dependence of the thermal conductivity on GNPs content was fitted by an analytical model which incorporated all the effects. And the thermal conduction mechanism of GNPs based composite could change from series thermal structure to parallel thermal structure with the GNP loading increasing. Additionally, the calculated thermal shock resistance and thermal stress distribution of PBX was both enhanced with the GNP loading. Finally, the sensitivity of sensitive hexanitrohexaazaisowurtzitane (CL 20) based PBX composition could be improved by GNPs due to enhanced thermal conductivity.
Exploring Deep Space: Learning Personalized Ranking in a Semantic Space
Venue: DLRS@RecSys

Recommender systems leverage both content and user interactions to generate recommendations that fit users' preferences. The recent surge of interest in deep learning presents new opportunities for exploiting these two sources of information. To recommend items we propose to first learn a user independent high dimensional semantic space in which items are positioned according to their substitutability, and then learn a user specific transformation function to transform this space into a ranking according to the user's past preferences. An advantage of the proposed architecture is that it can be used to effectively recommend items using either content that describes the items or user item ratings. We show that this approach significantly outperforms state of the art recommender systems on the MovieLens 1M dataset.
School Discipline, School Uniforms and Academic Performance.

The purpose of this paper is to examine the role of school discipline in achieving academic performance. The study aims to clarify the role of permissive vis a vis authoritative teaching styles with an overarching hypothesis that better discipline leads to better academic performance. The authors also probe whether uniformed students have better discipline.  The authors analyse Organisation for Economic Co operation and Development's Programme for International Student Assessment data on school discipline dimensions: students listening well, noise levels, teacher waiting time, students working well, class start time. Analysis of variance (ANOVA) with post hoc analysis on five geographic groups established by Baumann and Winzar (2016) was applied to test for geographic differences (Europe, Americas, Far East Asia, Rest of Asia, Anglo Saxon cluster) in school discipline. ANOVA was further used to test for school discipline and academic performance. Third, t tests on fi.
How to write a blogpost from your journal article in eleven easy steps.

You've just published a research article why should you bother writing a blog post about it? Patrick Dunleavy argues that if you've devoted months to writing the paper, dealing with comments, doing rewrites and hacking through the publishing process, why would you not spend the extra couple of hours crafting an accessible blogpost? Here he breaks down in eleven easy steps how to generate a short form version of your research article.
Physical design and modelling of boost converter for maximum power point tracking in solar PV systems
Venue: 2016 International Conference on Electrical Power and Energy Systems (ICEPES)

Renewable energy is an alternative way that will hopefully lead us away from petroleum dependent energy sources. Among all renewable energy sources solar energy is the most acceptable solution as it is available in abundant and free of cost worldwide. A typical solar generation system consists of a solar array and a DC DC converter. A DC DC converter acts as an interface between the load and the PV module as it serves the purpose of transferring maximum power from the solar PV module to the load. To develop a photovoltaic (PV) power generation system with a suitable converter topology, it is imperative to analyze the converter. In this paper modeling and physical design of DC DC boost converter is presented for solar PV system (TET 1210 made by Thrive Energy Technologies Pvt. Ltd. and tested in SIMSCAPE library of MATLAB. The result shows that the designed converter can be implemented with any maximum power point tracking technique and gives the maximum power at 70.06% of duty cycle. The small signal analysis of boost converter is also given in this paper which is very helpful for the stability analysis.
Efek Gastroprotektif Bawang Prei (Allium fistulosum) terhadap Gastropati pada Lambung Tikus Wistar (Rattus norvegicus) yang Diinduksi Indometasin

OAINS adalah obat yang digunakan secara luas sebagai antipiretik, antiinflamasi, dan analgesik. Namun demikian, OAINS dapat menyebabkan gastropati dan bahkan tukak lambung jika digunakan dalam jangka waktu yang lama. Quercetin, kaempferol, dan luteolin telah diketahui memiliki efek gastroprotektif. Zat tersebut terkandung di dalam bawang prei Allium fistulosum) Penelitian ini bertujuan untuk mengetahui efek gastroprotektif bawang prei. Tikus dikelompokkan menjadi lima kelompok yaitu kelompok kontrol negatif (K1) kontrol positif (K2) dan kelompok perlakuan (K3, K4, K5) K1 dan K2 diberi normal salin, sedangkan K3, K4, dan K5 diberi ekstrak bawang prei dengan dosis 6 mg/kgBB, 12 mg/kgBB, dan 24 mg/kgBB. Tiga puluh menit kemudian K2, K3, K4, dan K5 diberi indometasin 30 mg/kgBB. Tikus kemudian dianestesi menggunakan eter dan dibedah. Gastropati dinilai berdasarkan skor makroskopik dan skor mikroskopik. Hasil uji one way ANOVA menunjukkan bahwa terdapat perbedaan bermakna pada semua kelompok (p 0,05) Skor makroskopik menunjukkan bahwa K5 memiliki perbedaan yang bermakna dengan K2, K3, dan K4, namun tidak ada perbedaan yang signifikan antara K2, K3, dan K4. Skor mikroskopik menunjukkan bahwa K2 memiliki perbedaan yang bermakna dengan K3, K4, dan K5. Pada uji korelasi Pearson didapatkan nilai p 0,000 (R 0,917 untuk skor makroskopik, R 0,862 untuk skor mikroskopik) Dapat disimpulkan bahwa bawang prei dapat menurunkan skor makroskopik dan mikroskopik gastropati pada tikus yang diinduksi indometasin.  Bawang prei Allium fistulosum Gastroprotektif, Kaempferol, Luteolin, OAINS,
Corporate Governance Sebagai Alat Pereda Praktik Manajemen Laba (Earnings Management)

Penelitian ini bertujuan untuk mengetahui apakah corporate governance memilikipengaruh terhadap aktivitas praktik manajemen laba? Bagaimanakah pengaruh corporate governance terhadap praktik manajemen laba? dan dapatkah corporate governance dijadikan sebagai alat untuk mengendalikan adanya praktik manajemen laba? Jawaban atas pertanyaan tersebut merupakan bukti empiris tentang efektifitas mekanisme corporate governance dalam mengendalikan adanya praktik manajemen laba di perusahaan. Metode statistik yang digunakan adalah regresi linier berganda kuadrat ordinary least squares regression /OLS) t test, dan F test dengan tingkat signifikan sebesar 5 Sampel penelitian ini berjumlah 300 tahun perusahaan yang diambil dari populasi sebanyak 329 perusahaan yang terdaftar di Bursa Efek Jakarta dari periode 2000 sampai periode 2006. Pengambilan sampel menggunakan teknik purposive sampling Hasil pengujian secara simultan menunjukkan bahwa, kepemilikan manajerial, kepemilikan institusional, ukuran dewan direksi dan komite audit memiliki pengaruh yang signifikan terhadap praktik manajemen laba. Sedangkan, hasil pengujian secara parsial menunjukkan bahwa kepemilikan manajerial memiliki pengaruh negatif yang signifikan terhadap praktik manajemen laba, ukuran dewan direksi memiliki pengaruh positif yang signifikan terhadap praktik manajemen laba, dan komite audit memiliki pengaruh yang signifikan namun dengan arah hubungan yang positif terhadap praktik manajemen laba, sedangkan kepemilikan institusional tidak berpengaruh terhadap praktik manajemen laba. Kata Kunci manajemen laba, kepemilikan manajerial, kepemilikan institusional, ukuran dewan direksi dan komite audit
PENGARUH KEBERADAAN DEWAN DIREKSI WANITA DAN DEWAN KOMISARIS WANITA TERHADAP MANAJEMEN LABA (EARNINGS MANAGEMENT) PADA PERUSAHAAN PUBLIK DI INDONESIA

ABSTRAK Penelitian ini menguji pengaruh diversitas gender melalui keberadaan CEO wanita, CFO wanita, dan dewan komisaris wanita terhadap manajemen laba akrual. Penelitian ini berangkat dari asumsi bahwa wanita dan pria akan bertindak berbeda dalam menghadapi permasalahan yang sama. Penelitian ini menggunakan perusahaan manufaktur sebagai sampel yang dipilih berdasarkan metode purposive sampling dengan jumlah sebanyak 128 perusahaan. Pengujian hipotesis dilakukan dengan menggunakan regresi linear berganda untuk menguji pengaruh masing masing variabel independen terhadap variabel dependen. Hasil penelitian menunjukan bahwa posisi CFO wanita berpengaruh negatif yang signifikan terhadap manajemen laba akrual. Sedangkan posisi CEO wanita dan dewan komisaris wanita pengaruhnya terhadap manajemen laba akrual tidak signifikan. Kata kunci: gender, manajemen laba, manajemen laba akrual  This study examine the effect of gender diversity through the existence of female CEO, female CFO, and female board commissioner on accrual based earnings management. This study presume that women and men would act differently to solve a problem. This study used manufacturing firms as sample were selected based on purposive sampling method with a total of 128 companies. Hypothesis testing is performed by linear regression to examine the effect of each independent on the dependent variable. The result showed that the existence of female CFO have a significant negative effect on accrual based earnings management. While the position of female CEO and female board of commissioners have no significant effect on accrual based earnings management.  gender, earnings management, accrual based earning management.
The Perception of Ageism, Generativity, and the Attainment of Developmental Tasks of Elderly Widowers and Widows in Bogor, West Java, Indonesia

In every stage of human lives as well as later adulthood (elderly) there are developmental tasks to be attained and demand the elderly to adapt to various changes both from the internal and external environment. The aim of this research was to analyze the influence of ageism and generativity on the developmental task of elderly widower and widow. The cross sectional study was used as the design of this research. The research was conducted in Empang Village, South Bogor Sub District and West Cilendek Village, West Bogor Sub District, Bogor City. As many as 60 persons were involved as research sample, consisted of 30 elderly widowers and 30 elderly widows which were chosen by snow ball techniques. The result showed that there was no significant difference in developmental task of elderly widower and widow. The category of ageism was low while generativity and developmental task were moderate. There were significant positive correlations and influences of the length of education and generativity on developmental tasks of elderly widower and widow.
Reliability and Validity of the Revised Individualized Structured Mastery Tasks in Children with Developmental Delay

Pei Jung Wang1, George A Morgan2, Li Chiou Chen3, Ai Wen Hwang4, Lu Lu5 and Hua Fang Liao3* 1Department of Medicine, School and Graduate Institute of Physical Therapy, National Taiwan University, Taipei, Taiwan 2Department of Education and Human Development, Colorado State University, Fort Collins, Colorado, USA 3Department of Medicine, School and Institute of Physical Therapy, National Taiwan University, Taipei, Taiwan 4Department of Medicine, Graduate Institute of Early Intervention, Chang Gung University, Tao Yuan, Taiwan 5Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei, Taiwan
A Hybrid Approach to Functional Dependency Discovery
Venue: SIGMOD Conference

Functional dependencies are structural metadata that can be used for schema normalization, data integration, data cleansing, and many other data management tasks. Despite their importance, the functional dependencies of a specific dataset are usually unknown and almost impossible to discover manually. For this reason, database research has proposed various algorithms for functional dependency discovery. None, however, are able to process datasets of typical real world size, e.g. datasets with more than 50 attributes and a million records. We present a hybrid discovery algorithm called HyFD, which combines fast approximation techniques with efficient validation techniques in order to find all minimal functional dependencies in a given dataset. While operating on compact data structures, HyFD not only outperforms all existing approaches, it also scales to much larger datasets.
A Complex Systems Approach to Causal Discovery in Psychiatry
Venue: PloS one

Conventional research methodologies and data analytic approaches in psychiatric research are unable to reliably infer causal relations without experimental designs, or to make inferences about the functional properties of the complex systems in which psychiatric disorders are embedded. This article describes a series of studies to validate a novel hybrid computational approach the Complex Systems Causal Network (CS CN) method designed to integrate causal discovery within a complex systems framework for psychiatric research. The CS CN method was first applied to an existing dataset on psychopathology in 163 children hospitalized with injuries (validation study) Next, it was applied to a much larger dataset of traumatized children (replication study) Finally, the CS CN method was applied in a controlled experiment using a 'gold standard' dataset for causal discovery and compared with other methods for accurately detecting causal variables (resimulation controlled experiment) The CS CN method successfully detected a causal network of 111 variables and 167 bivariate relations in the initial validation study. This causal network had well defined adaptive properties and a set of variables was found that disproportionally contributed to these properties. Modeling the removal of these variables resulted in significant loss of adaptive properties. The CS CN method was successfully applied in the replication study and performed better than traditional statistical methods, and similarly to state of the art causal discovery algorithms in the causal detection experiment. The CS CN method was validated, replicated, and yielded both novel and previously validated findings related to risk factors and potential treatments of psychiatric disorders. The novel approach yields both fine grain (micro) and high level (macro) insights and thus represents a promising approach for complex systems oriented research in psychiatry.
Network security analyzing and modeling based on Petri net and Attack tree for SDN
Venue: 2016 International Conference on Computing, Networking and Communications (ICNC)

Due to the widespread research on Software Defined Networks (SDNs) its security has received much attention recently. But most of those attempts consider SDN security from the OpenFlow perspective. To the best of our knowledge, none so far has paid attention to the security analysis and modeling of Forwarding and Control planes Separation Network Structure (FCSNS) in SDN. Therefore, this paper provides a different approach to network security based on Petri net and Attack tree models. Our objective is to analyze the FCSNS security via the combination of model and state. This method represents the network structure and state transferring by way of Petri net. In addition, it introduces the security analysis method of STRIDE to build up the Attack tree model. Finally, we analyze FCSNS via the combination of Petri net and Attack tree model and present the results. Our results are very promising in using such models to achieve such security objectives.
Availability and Security Assessment of Smart Building Automation Systems: Combining of Attack Tree Analysis and Markov Models
Venue: 2016 Third International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

The information and control system of smart building is considered as a set of subsystems including a building automation system (BAS) BAS security and availability during its life cycle are assessed using the Attack Tree Analysis (ATA) and Markov models. The ATA is applied to investigate any intrusions into the BAS by analyzing system probability of a fault/vulnerability to occur during period of time depending on failure probability of its subsystems. Markov model is used to calculate BAS availability considering the possibility of recovery and different kinds of the faults.
Plots Transformations And Regression An Introduction To Graphical Methods Of Diagnostic Regression Analysis

Thank you very much for reading plots transformations and regression an introduction to graphical methods of diagnostic regression analysis. Maybe you have knowledge that, people have look numerous times for their favorite readings like this plots transformations and regression an introduction to graphical methods of diagnostic regression analysis, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some infectious bugs inside their laptop.
REGRESSION ANALYSIS WHEN THE DEPENDENT VARIABLE IS TRUNCATED NORMAL

The paper considers the estimation of the parameters of the regression model where the dependent variable is normal but truncated to the left of zero. Tobin  first considered the problem and proposed an iterative solution of the maximum likelihood equations. The paper proves the strong consistency and the asymptotic normality of the maximum likelihood estimator, proves the inconsistency of Tobin's initial estimator, proposes a computationally simple estimator that is consistent and asymptotically normal, and proves the asymptotic efficiency of the second round estimator in the method of Newton. An extension to the case where the observations are not available at the truncation point is briefly indicated in the Conclusions.
The NITRC image repository
Venue: NeuroImage

The Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC www.nitrc.org) suite of services include a resources registry, image repository and a cloud computational environment to meet the needs of the neuroimaging researcher. NITRC provides image sharing functionality through both the NITRC Resource Registry (NITRC R) where bulk data files can be released through the file release system (FRS) and the NITRC Image Repository (NITRC IR) a XNAT based image data management system. Currently hosting 14 projects, 6845 subjects, and 8285 MRI imaging sessions, NITRC IR provides a large array of structural, diffusion and resting state MRI data. Designed to be flexible about management of data access policy, NITRC provides a simple, free, NIH funded service to support resource sharing in general, and image sharing in particular.
Creative leadership for workplace innovation: an applied SAP LAP framework

The main focus of this paper is to apply the SAP LAP model for developing creative leadership.  The paper was developed by drawing inputs from the previous scholarly works and applying the SAP LAP model by the author in the context of creative leadership development.  The paper offers a workable solution that can be suitably adopted by the organizations to transform the performing managers or executives to creative leaders in their respective domains.  This paper suggests that the SAP LAP model is underrepresented in previous studies conducted in the area.