nils-herrmann/clean_scirepeval huggingface dataset:
PERKEMBANGAN NILAI AGAMA DAN MORAL ANAK DAN PENDIDIKAN KEAGAMAAN ORANGTUA
Year: 2016

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)
Temperature Control System Research for Double Roller Heat Sealing Machine Based on the Fuzzy PID Control
Year: 2017

In order to ensure the pressing quality and production efficiency of the cotton insulation coating layer film, it is necessary to have an accurate temperature control for double roller heat sealing machine. Due to the characteristics of big inertia, pure time delay, nonlinearity and imprecise mathematic model, Fuzzy PID algorithm is proposed based on PLC system. The simulation results show that the proposed strategy improve the output characteristics. These excellent performances are a theoretical basis for further PLC programming.
Sematch: Semantic Entity Search from Knowledge Graph
Venue: SumPre HSWI@ESWC
Year: 2015

As an increasing amount of the knowledge graph is published as Linked Open Data, semantic entity search is required to develop new applications. However, the use of structured query languages such as SPARQL is challenging for non skilled users who need to master the query language as well as acquiring knowledge of the underlying ontology of Linked Data knowledge bases. In this article, we propose the Sematch framework for entity search in the knowledge graph that combines natural language query processing, entity linking, entity type linking and semantic similarity based query expansion. The system has been validated in a dataset and a prototype has been developed that translates natural language queries into SPARQL.
Predicting infiltration pollutant retention in bioretention sustainable drainage systems: model development and validation
Year: 2014

A major problem of increased urbanization is the rise in pollution caused by runoff. A solution to this problem can be found through the use of Sustainable Urban Drainage Systems (SUDS) such as rain gardens. Previous research has focused primarily on hydrologic design including the degree to which groundwater is replenished by these systems and models have been developed to quantify the extent of that recharge. However these models do not simulate the transport or fate of pollutants. In this paper, a preliminary heavy metal retention computer model is proposed that consists of two parts: a water flow module and pollutant retention module. To describe flow behaviour a dual permeability approach is implemented which facilitates the prediction of both matrix and macropore flow. This subroutine is then combined with the retention module, which utilizes and couples the linear, Langmuir and Freundlich isotherms with the advection diffusion equation. Both submodels are validated using existing literature data. This validation was assessed using efficiency indexes and showed good results with an R2 0.93 for the matrix region, an R2 0.89 for the macropore region and an R2 0.99 for the pollutant retention module. This results in a valuable tool for the design and implementation of bioretention facilities.
Vedolizumab as induction and maintenance therapy for Crohn's disease.
Venue: The New England journal of medicine
Year: 2013

The efficacy of vedolizumab, an a4b7 integrin antibody, in Crohn's disease is unknown.  In an integrated study with separate induction and maintenance trials, we assessed intravenous vedolizumab therapy (300 mg) in adults with active Crohn's disease. In the induction trial, 368 patients were randomly assigned to receive vedolizumab or placebo at weeks 0 and 2 (cohort 1) and 747 patients received open label vedolizumab at weeks 0 and 2 (cohort 2) disease status was assessed at week 6. In the maintenance trial, 461 patients who had had a response to vedolizumab were randomly assigned to receive placebo or vedolizumab every 8 or 4 weeks until week 52.  At week 6, a total of 14.5% of the patients in cohort 1 who received vedolizumab and 6.8% who received placebo were in clinical remission (i.e. had a score on the Crohn's Disease Activity Index [CDAI] of =150, with scores ranging from 0 to approximately 600 and higher scores indicating greater disease activity) (P=0.02) a total of 31.4% and 25.7% of the patients, respectively, had a CDAI 100 response =100 point decrease in the CDAI score) (P=0.23) Among patients in cohorts 1 and 2 who had a response to induction therapy, 39.0% and 36.4% of those assigned to vedolizumab every 8 weeks and every 4 weeks, respectively, were in clinical remission at week 52, as compared with 21.6% assigned to placebo (P<0.001 and P=0.004 for the two vedolizumab groups, respectively, vs. placebo) Antibodies against vedolizumab developed in 4.0% of the patients. Nasopharyngitis occurred more frequently, and headache and abdominal pain less frequently, in patients receiving vedolizumab than in patients receiving placebo. Vedolizumab, as compared with placebo, was associated with a higher rate of serious adverse events (24.4% vs. 15.3% infections (44.1% vs. 40.2% and serious infections (5.5% vs. 3.0% CONCLUSIONS Vedolizumab treated patients with active Crohn's disease were more likely than patients receiving placebo to have a remission, but not a CDAI 100 response, at week 6; patients with a response to induction therapy who continued to receive vedolizumab (rather than switching to placebo) were more likely to be in remission at week 52. Adverse events were more common with vedolizumab. (Funded by Millennium Pharmaceuticals; GEMINI 2 ClinicalTrials.gov number, NCT00783692.
Effect of risk of malnutrition on 30 day mortality among older patients with acute heart failure in Emergency Departments.
Venue: European journal of internal medicine
Year: 2019

Little is known about the prevalence and impact of risk of malnutrition on short term mortality among seniors presenting with acute heart failure (AHF) in emergency setting. The objective was to determine the impact of risk of malnutrition on 30 day mortality risk among older patients who attended in Emergency Departments (EDs) for AHF.  We performed a secondary analysis of the OAK 3 Registry including all consecutive patients =65 years attending in 16 Spanish EDs for AHF. Risk of malnutrition was defined by the Mini Nutritional Assessment Short Form (MNA SF) 12 points. Unadjusted and adjusted logistic regression models were used to assess the association between risk of malnutrition and 30 day mortality.  We included 749 patients (mean age: 85 (SD 6) 55.8% females) Risk of malnutrition was observed in 594 (79.3% patients. The rate of 30 day mortality was 8.8% After adjusting for MEESSI AHF risk score clinical categories (model 1) and after adding all variables showing a significantly different distribution among groups (model 2) the risk of malnutrition was an independent factor associated with 30 day mortality (adjusted OR by model 1 3.4; 95%CI 1.2 9.7; p .020 and adjusted OR by model 2 3.1; 95%CI 1.1 9.0; p .033) compared to normal nutritional status.  The risk of malnutrition assessed by the MNA SF is associated with 30 day mortality in older patients with AHF who were attended in EDs. Routine screening of risk of malnutrition may help emergency physicians in decision making and establishing a care plan.
Risk and preference reversals in intertemporal choice
Year: 2010

This paper argues that observations of non stationary choice behavior need not necessarily imply speci_c properties of the individual's discount function. As we show, the observed preference reversals in intertemporal choice are consistent with constant discounting and can alternatively be explained by decreasing absolute risk aversion together with the individual's risk perception. This risk may concern the size of the actual outcome or the endowment consumption stream to which the outcome is added. Both types of uncertainty naturally appear in the context of intertemporal choice. We show how relative degrees of changes in risk over time can determine choices.
Statistical learning based facial animation
Venue: Journal of Zhejiang University SCIENCE C
Year: 2013

To synthesize real time and realistic facial animation, we present an effective algorithm which combines image and geometry based methods for facial animation simulation. Considering the numerous motion units in the expression coding system, we present a novel simplified motion unit based on the basic facial expression, and construct the corresponding basic action for a head model. As image features are difficult to obtain using the performance driven method, we develop an automatic image feature recognition method based on statistical learning, and an expression image semi automatic labeling method with rotation invariant face detection, which can improve the accuracy and efficiency of expression feature identification and training. After facial animation redirection, each basic action weight needs to be computed and mapped automatically. We apply the blend shape method to construct and train the corresponding expression database according to each basic action, and adopt the least squares method to compute the corresponding control parameters for facial animation. Moreover, there is a pre integration of diffuse light distribution and specular light distribution based on the physical method, to improve the plausibility and efficiency of facial rendering. Our work provides a simplification of the facial motion unit, an optimization of the statistical training process and recognition process for facial animation, solves the expression parameters, and simulates the subsurface scattering effect in real time. Experimental results indicate that our method is effective and efficient, and suitable for computer animation and interactive applications.
Can we adequately teach ethics and ethical decision making via distant learning? A pandemic pilot
Venue: GMS journal for medical education
Year: 2020

The Corona virus pandemic rendered most live education this spring term impossible. Other formats and new ideas were needed to offer students the opportunity to learn unchanged learning content and outcomes. To replace our module on ethics and ethical decision making in emergency medicine with simulation patients we developed an e learning module consisting of a case, trigger questions and literature for self study. This was followed by a Microsoft Teams seminar in which the students discussed their questions in subgroups on the basis of their reading and developed a team product they then presented to the other team. Students valued this module as enabling a safe space for their beliefs and views. A vast majority deemed the topics as relevant, two thirds would retake the seminar. Despite a productive online discourse, this format should not be used as sole module under normal conditions since it lacks the (simulation) patient interaction but it can prove to be a valuable addendum to live teaching.
Bandpass Phase Correction Methodology for Ladder Type Acoustic Filters
Venue: 2018 48th European Microwave Conference (EuMC)
Year: 2018

Phase matching of ladder type filters based on micro acoustic technology is an important part of duplexer and multiplexer design. However, it cannot be straightforwardly applied in direct bandpass synthesis methodologies because of essential differences between lowpass and bandpass approaches. A novel filtering function able to accommodate a new phase control term is proposed in this paper. Taking into account the phase correction from the beginning of the synthesis provides additional advantages in the network design.
Accelerating genetic gains in legumes for the development of prosperous smallholder agriculture: integrating genomics, phenotyping, systems modelling and agronomy.
Venue: Journal of experimental botany
Year: 2018

Grain legumes form an important component of the human diet, provide feed for livestock, and replenish soil fertility through biological nitrogen fixation. Globally, the demand for food legumes is increasing as they complement cereals in protein requirements and possess a high percentage of digestible protein. Climate change has enhanced the frequency and intensity of drought stress, posing serious production constraints, especially in rainfed regions where most legumes are produced. Genetic improvement of legumes, like other crops, is mostly based on pedigree and performance based selection over the past half century. To achieve faster genetic gains in legumes in rainfed conditions, this review proposes the integration of modern genomics approaches, high throughput phenomics, and simulation modelling in support of crop improvement that leads to improved varieties that perform with appropriate agronomy. Selection intensity, generation interval, and improved operational efficiencies in breeding are expected to further enhance the genetic gain in experimental plots. Improved seed access to farmers, combined with appropriate agronomic packages in farmers' fields, will deliver higher genetic gains. Enhanced genetic gains, including not only productivity but also nutritional and market traits, will increase the profitability of farming and the availability of affordable nutritious food especially in developing countries.
Exploring limits in hyperspectral unresolved object detection
Venue: 2011 IEEE International Geoscience and Remote Sensing Symposium
Year: 2011

Hyperspectral imaging systems have been shown to enable unresolved object detection through enhanced spectral characteristics of the data. Robust detection performance prediction tools are desirable for many reasons including optimal system design and operation. The research described in this paper explores the general understanding of system factors that limit detection performance. Examples are shown for detectability limits due to target subpixel fill fraction, sensor noise, and scene complexity.
ANALISIS RANTAI NILAI DAN DAYA SAING GULA MERAH TEBU DI KABUPATEN ACEH TENGAH
Year: 2016

Produk pertanian dalam bentuk bahan mentah memiliki nilai ekonomi yang rendah. Oleh karena itu pengembangan pertanian masih memberikan kontribusi yang kecil terhadap pendapatan masyarakat. Peran komoditas terhadap pendapatan masyarakat dapat dilihat dari faktor transfer input dan output, faktor teknologi dan nilai tambah produk akhir pertanian tersebut. Semakin besar nilai tambah produk pada subsistem produksi tersebut maka semakin besar pula perannya terhadap peningkatan pendapatan masyarakatnya. Penelitian ini bertujuan untuk mengidentifikasi rantai nilai gula merah tebu, seberapa besar nilai tambah ekonomi (EVA) gula merah tebu pada rantai pasok yang berlaku menganalisis tingkat daya saing komparatif gula merah tebu di Kabupaten Aceh Tengah. Metode yang digunakan dalam penelitian ini adalah metode survei, menggunakan data primer dan data sekunder yang berkaitan dengan rantai nilai dan daya saing gula merah tebu Kabupaten Aceh Tengah. Model analisis yang digunakan dengan metode deskriptif, Analisis Economic Value Added (EVA) dan menggunakan Biaya Sumberdaya Domestik (BSD) Hasil penelitian rantai nilai yang di Kabupaten Aceh Tengah terdiri dari 3 pelaku yaitu petani, industri dan pedangang gula merah, berdasarkan analisis EVA, menunjukan bahwa nilai tambah petani lebih besar dari nilai tambah yang diperoleh pabrik pengolahan maupun pedagang gula merah tebu yaitu sebesar 83,53% petani merupakan faktor penentu dalam rantai nilai gula merah tebu. Usahatani tebu di Kabupaten Aceh Tengah memiliki keungulan komperatif dengan nilai KBSD antara 0,496 sampai 0,596. Setelah dilakukan analisis sensitivitas, nilai KBSD masih lebih kecil dari 1, aktivitas ekonomi tersebut mempunyai keunggulan komparatif. Analisis sensitivitas, menunjukan bahwa usahatani tebu di Kabupaten Aceh Tengah memiliki keungulan komperatif dengan nilai KBSD 1. Artinya suatu aktivitas ekonomi gula merah tebu tebu, efisien secara ekonomi dalam pemanfaatan sumberdaya domestik, atau suatu aktivitas ekonomi tersebut mempunyai keunggulan komparatif. Kata kunci Gula Merah Tebu, Rantai Nilai, Sumberdaya Domestik, Keunggulan Komperatif.
Nonlinear scattering of non breaking waves by a submerged horizontal plate: Experiments and simulations
Year: 2009

Brossard et al.  hereinafter referred to as BPBD) presented an experimental study of the higher harmonics induced by a submerged horizontal plate and a submerged rectangular step. In this paper we present a numerical study of the wave scattering by a submerged thin plate as described in BPBD. A fully nonlinear numerical wave tank based on a desingularized boundary integral equation method (DBIEM) was developed for the interactions between non breaking waves and a fixed 2D body. We also present a new set of experimental data on regular waves interacting with a submerged thin plate with different submergences, with the aim of removing the influences of multiple reflections between the wave maker and submerged structures in a wave flume. We compare our numerical simulations with our experiments as well as the experiments of BPBD. The comparison shows that DBIEM can predict satisfactorily the multiple wave reflections caused by the thin plate as well as the main features of the generation and transmission of higher harmonic waves.
Re capturing bovine life: Robot cow relationships, freedom and control in dairy farming
Year: 2014

Robotic milking machines are novel technologies that take over the labour of dairy farming and reduce the need for human animal interactions. Replacing 'conventional' twice a day milking managed by people with a system that supposedly allows cows the freedom to be milked automatically whenever they choose, it is claimed that robotic milking has health and welfare benefits for cows, increases productivity, and has lifestyle advantages for dairy farmers. Such claims are certainly contested, but the installation of robotic milkers clearly establishes new forms of relationships between cows, technologies and dairy farmers. This paper draws on in depth interviews with farmers and observational research on farms to examine relationships between representations of robotic milkers as a technology which gives cows freedom and autonomy, and practices and mechanisms which suggest that bovine life is re captured and disciplined in important ways through the introduction of this technology. We focus on two issues. First, we explore changes in what it is to 'be bovine' in relation to milking robots, drawing on a combination of a discursive framing of cows' behaviour and 'nature' by dairy farmers and on farm observation of cow technology interaction. Second, we examine how such changes in bovinity might be articulated through conceptions of biopower which focus on knowledge of and intervention in the life of both the individual cow body and the herd. Such knowledge and intervention in the newly created sites of the robotic milking dairy are integral to these remodelled, disciplinary farm systems. Here, cows' bodies, movements and subjectivities are trained and manipulated in accordance with a persistent discourse of agricultural productivism. In discussing these issues, the paper seeks to show how particular representations of cows, the production of embodied bovine behaviours, technological interventions and micro geographies contribute to a re capturing and re enclosure of bovine life which counters the liberatory discourses which are used to promote robotic milking.
GMAO Seasonal Forecast Ensemble Exploration
Year: 2019

Web: gmao.gsfc.nasa.gov References Barnston, A.G. M.K. Tippett, H.M. van den Dool, and D.A. Unger, 2015: Toward an Improved Multimodel ENSO Prediction.  1579 1595,  GEOS 5 seasonal forecast system. Clim Dyn 1 27 DOI 10.1007/s00382 017 3835 2 Griffies, S. M. 2012: Elements of the Modular Ocean Model (MOM) GFDL Ocean Group Technical Report No. 7, NOAA/Geophysical Fluid Dynamics Laboratory GMAO Seasonal Forecast Ensemble Exploration Anna Borovikov1,2, Siegfried Schubert1,2, Jelena Marshak1 (1) NASA Global Modeling and Assimilation Office, Goddard Space Flight Center, Greenbelt, MD, USA (2) Science Systems and Applications, Inc. Greenbelt, MD, USA Global Modeling Assimilation Office
Progressive Hemifacial Atrophy and Linear Scleroderma En Coup de Sabre: A Spectrum of the Same Disease?
Venue: Front. Med.
Year: 2018

Similar clinical and histhopathological features in progressive hemifacial atrophy and linear scleroderma en coup de sabre are well known. Trauma may predispose to the development of both diseases. The lack of association with anti Borrelia antibodies was shown in both cases as well. The otolaryngological and endocrine disorders may be associated findings in both diseases. However, there are certain differences in neurological and ophthalmological changes in the diseases.
Rich Dad Poor Dad: An Entrepreneurial Approach to the Teaching of Business French
Year: 2012

US higher education has focused on the development of new cadres of employees to the near exclusion of entrepreneurship as a career path. In this article, the authors describe an entrepreneurial approach to the teaching of Business French. The senior author served as the course instructor while the junior author was a student who completed the course. To provide an entry into the world of global entrepreneurship, the senior author selected the French translation of Robert Kiyosaki's Rich Dad Poor Dad. In parallel with the reading of Rich Dad, students completed a series of entrepreneurial course activities. Selected activities are described from the perspectives of both authors. The article ends with students' feelings about (1) entrepreneurship, (2) future career plans, (3) the theme of the course, and (4) the use of Kiyosaki's Rich Dad Poor Dad.