nils-herrmann/clean_scirepeval huggingface dataset:
Deep embedded clustering with multiple objectives on scRNA seq data
Venue: Briefings Bioinform.
Year: 2021

In recent years, single cell RNA sequencing (scRNA seq) technologies have been widely adopted to interrogate gene expression of individual cells; it brings opportunities to understand the underlying processes in a high throughput manner. Deep embedded clustering (DEC) was demonstrated successful in high dimensional sparse scRNA seq data by joint feature learning and cluster assignment for identifying cell types simultaneously. However, the deep network architecture for embedding clustering is not trivial to optimize. Therefore, we propose an evolutionary multiobjective DEC by synergizing the multiobjective evolutionary optimization to simultaneously evolve the hyperparameters and architectures of DEC in an automatic manner. Firstly, a denoising autoencoder is integrated into the DEC to project the high dimensional sparse scRNA seq data into a low dimensional space. After that, to guide the evolution, three objective functions are formulated to balance the model's generality and clustering performance for robustness. Meanwhile, migration and mutation operators are proposed to optimize the objective functions to select the suitable hyperparameters and architectures of DEC in the multiobjective framework. Multiple comparison analyses are conducted on twenty synthetic data and eight real data from different representative single cell sequencing platforms to validate the effectiveness. The experimental results reveal that the proposed algorithm outperforms other state of the art clustering methods under different metrics. Meanwhile, marker genes identification, gene ontology enrichment and pathology analysis are conducted to reveal novel insights into the cell type identification and characterization mechanisms.
ANALISIS FAKTOR FAKTOR YANG BERHUBUNGAN DENGAN PELAKSANAAN MOBILISASI DINI PASIEN PASCA BEDAH DIGESTIF APENDIKTOMI DI RUMAH SAKIT dr. H. MOCH. ANSARI SALEH BANJARMASIN TAHUN 2016
Year: 2020

Latar Belakang: Pembedahan merupakan tindakan pengobatan yang menggunakan teknik invasif dengan membuka atau menampilkan bagian tubuh yang akan ditangani melalui sayatan yang diakhiri dengan penutupan dan penjahitan luka Proses penyembuhan pasien pasca tindakan pembedahan dapat berjalan dengan baik dan tidak memakan waktu yang lama, diantaranya Mobilisasi dini, protap untuk selekas mungkin membimbing pasien keluar dari tempat tidurnya dan membimbingnya selekas mungkin berjalan, mobilisasi dini dapat mempercepat waktu penyembuhan luka pasca operasi, dengan mobilisasi dapat meningkatkan vaskularisasi sehingga suplai nutrisi dan oksigen ke jaringan menjadi lebih optimal. Tujuan: untuk mengetahui faktor faktor yang berhubungan dengan pelaksanaan mobilisasi dini pasien pasca bedah digestif di RSUD dr. H. Moch Ansari Saleh banjarmasin. Metode: Penelitian kuantitatif metode penelitian deskriktif korelasi yang bertujuan untuk menggambarkan hubungan di antara variabel variabel. Penelitian ini merupakan penelitian non eksperimen dengan tidak memberikan perlakuan dan menggunakan pendekatan desain penelitian cross sectional jumlah sampel pada penelitian ini ada 34 responden Hasil: Berdasarkan hasil analisis regresi linier berganda dengan menggunakan tabel ANOVA dengan uji F, menunjukan nilai signifikansi 0,048 0,05. Sehingga hasil interaksi antara tingkat pendidikan, tingkat stress dan nyeri berpengaruh nyata atau berhubungan dengan tingkat mobilisasi pasien. Implikasi Keperawatan: Perlunya rumah sakit mengeluarkan standar operasional prosedur (SOP) yang jelas tentang langkah langkah yang harus dilakukan oleh perawat kepada pasien pasca bedah digestif.
The global signature of the El Nino/La Nina Southern Oscillation
Year: 2018

Satellite and ground based observations are used to explore the composite oceanic atmospheric link known as the El Nino/La Nina Southern Oscillation (ENSO) phenomenon, which is closely associated with extreme weather events (e.g. heat waves, tornadoes, floods, and droughts) incidence of epidemic diseases (e.g. malaria) severe coral bleaching, etc. The ENSO temporal evolution depends on the energy exchange within the coupled ocean/atmosphere system. Its cycle has an average period of about 4 years, but there is considerable modulation of it from several sources and this is not yet fully understood. In this article, we attempted to explore the intrinsic features of the Best ENSO Index (BEI) from 1870 to 2017. Studying the distribution that characterizes BEI increments, the asymptotic power law scaling was revealed in their extreme fluctuations. Additionally, in order to study the evolution of BEI data over time, the detrended fluctuation analysis was used, which showed positive long range correlations of power law type and multifractal behaviour. These results aim to give a better insight into the global signature of ENSO evolution, considering both the continuous natural interactions taking place between the oceans and the atmosphere and anthropogenic effects. Furthermore, the results obtained could be employed to elucidate the development of more accurate advanced modelling of ocean atmosphere interactions, thereby improving climate change projections.
New weighting factor of weighted CTDI equation for PMMA phantom diameter from 8 to 40 cm: A Monte Carlo study
Venue: Medical physics
Year: 2017

The weighted computed tomography dose index (CTDIw) uses measured CTDI values at the center and periphery of a cylindrical phantom. The CTDIw value is calculated using conventional, Bakalyar's, and Choi's weighting factors. However, these weighting factors were produced from only 16 and 32 cm diameter cylindrical phantoms. This study aims to devise new weighting factors to provide more accurate average dose in the central cross sectional plane of cylindrical phantoms over a wide range of object diameters, by using Monte Carlo simulations.  Simulations were performed by modeling a Toshiba Aquilion ONE CT scanner, in order to compute the cross sectional dose profiles of polymethyl methacrylate (PMMA) cylindrical phantoms of each diameter (8 40 cm at 4 cm steps) for various tube voltages and longitudinal beam widths. Two phantom models were simulated, corresponding to the CTDI100 method and the method recommended by American Association of Physicists in Medicine (AAPM) task group 111. The dose computation PMMA cylinders of 1 mm diameter were located between the phantom surfaces and the centers at intervals of 1 mm, from which cross sectional dose profiles were calculated. By using linear least squares fits to the obtained cross sectional dose profiles data, we determined new weighting factors to estimate more accurate average doses in the PMMA cylindrical phantoms by using the CTDIw equation: CTDIw Wcenter CTDIcenter Wperiphery CTDIperiphery. In order to demonstrate the validity of the devised new weighting factors, the percentage difference between average dose and CTDIw value was evaluated for the weighting factors (conventional, Bakalyar's, Choi's, and devised new weighting factors) in each calculated cross sectional dose profile.  With the use of linear least squares techniques, new weighting factors (Wcenter 3/8 and Wperiphery 5/8 where Wcenter and Wperiphery are weighting factors for CTDIcenter and CTDIperiphery) were determined. The maximum percentage differences between average dose and CTDIw value were 16, 12, 8, and 6% for the conventional, Bakalyar's, Choi's, and devised new weighting factors, respectively.  We devised new weighting factors (Wcenter 3/8 and Wperiphery 5/8) to provide more accurate average dose estimation in PMMA cylindrical phantoms over a wide range of diameter. The CTDIw equation with devised new weighting factors could estimate average dose in PMMA cylindrical phantoms with a maximum difference of 6% The results of this study can estimate the average dose in PMMA cylindrical phantoms more accurately than the conventional weighting factors (Wcenter 1/3 and Wperiphery 2/3)
Why digital medicine depends on interoperability
Venue: npj Digital Medicine
Year: 2019

Digital data are anticipated to transform medicine. However, most of today's medical data lack interoperability: hidden in isolated databases, incompatible systems and proprietary software, the data are difficult to exchange, analyze, and interpret. This slows down medical progress, as technologies that rely on these data artificial intelligence, big data or mobile applications cannot be used to their full potential. In this article, we argue that interoperability is a prerequisite for the digital innovations envisioned for future medicine. We focus on four areas where interoperable data and IT systems are particularly important: (1) artificial intelligence and big data; (2) medical communication; (3) research; and (4) international cooperation. We discuss how interoperability can facilitate digital transformation in these areas to improve the health and well being of patients worldwide.
Penggunaan Media Musik Klasik Beethoven dalam Pembelajaran Menulis Cerpen Siswa Kelas XI IPA SMA Negeri 1 Tanete Rilau Kabupaten Barru
Year: 2016

ABSTRAK Penelitian ini bertujuan untuk mendeskripsikan (1) keterampilan menulis cerpen siswa kelas kontrol tanpa menggunakan media musik klasik Beethoven; (2) keterampilan menulis cerpen siswa kelas eksperimen menggunakan media musik klasik Beethoven; dan (3) mendeskripsikan perbedaan keterampilan menulis cerpen siswa kelas kontrol tanpa menggunakan media musik klasik Beethoven dengan keterampilan menulis cerpen siswa kelas eksperimen menggunakan media musik klasik Beethoven. Desain penelitian yang digunakan dalam penelitian ini adalah desain penelitian eksperimen (Posttest Only Control Design) Populasi penelitian ini adalah siswa kelas XI IPA SMA Negeri 1 Tanete Rilau Kabupaten Barru yang berjumlah 90 orang. Penarikan sampel dilakukan dengan cara simple random sampling. Sampel dalam penelitian ini ada 2 kelas, yaitu kelas XI IPA 1 sebagai kelas eksperimen dan kelas XI IPA 2 sebagai kelas kontrol. Teknik pengumpulan data pada penelitian ini adalah teknik tes tertulis. Data yang terkumpul dianalisis dengan menggunakan statistik deskriptif dan statistik inferensial menggunakan rumus uji t. Hasil analisis data menunjukkan bahwa pembelajaran menulis cerpen siswa kelas XI IPA SMA Negeri 1 Tanete Rilau Kabupaten Barru dengan menggunakan media musik klasik Beethoven dikategorikan tinggi karena nilai yang diperoleh mencapai kriteria yang ditetapkan, yaitu 83 atau sebanyak 24 siswa yang memperoleh nilai 75 ke atas. Berbeda dengan hasil pembelajaran menulis cerpen siswa tanpa menggunakan media musik klasik Beethoven dikategorikan sangat rendah karena nilai yang diperoleh siswa belum mencapai kriteria yang ditetapkan, yaitu 22,6 atau sebanyak 7 siswa yang memperoleh nilai 75 ke atas. Hal ini menunjukkan bahwa media musik klasik Beethoven efektif diterapkan dalam pembelajaran menulis cerpen siswa kelas XI IPA SMA Negeri 1 Tanete Rilau Kabupaten Barru.
Le traitement de qualites associees au developpement durable dans l'activite economique le cas de la viande dans un reseau de magasins bio
Year: 2009

Fondee sur l'etude de la commercialisation de la viande dans un reseau de magasins biologiques, cette communication vise a analyser la dimension politique (sous ses formes plus ou moins institutionnalisees) du fonctionnement marchand. Son objectif est de montrer que l'economie n'est pas simplement une activite technique mais le lieu de choix qui ont une portee collective et politique car ils configurent les relations entre differents acteurs (producteurs, distributeurs, consommateurs, riverains, citoyens, etc. autour d'enjeux tels que les relations entre producteurs et consommateurs, la place attribuee a la nature et a l'animal, la preservation d'un patrimoine et le developpement d'un territoire. L'analyse est centree sur la mise en debat des dimensions sociales et environnementales de l'activite, et sur les moyens par lesquels des caracteristiques investies de valeurs citoyennes ou liees au developpement durable sont prises en compte et valorisees dans la mecanique marchande. Issu de la reunion de cooperatives de consommateurs et militants ecologistes, le reseau etudie se caracterise par des pratiques originales, tant en ce qui concerne son organisation que les relations entretenues avec les fournisseurs et les acteurs du monde de la bio en general. Cooperative issue d'une association loi 1901, cette entite economique est en effet organisee sur une structure de representation politique des societaires, et elle est fortement engagee dans un travail de definition des produits et de structuration des filieres qui vise le developpement de l'agriculture biologique. L'etude de cette structure issue du militantisme et progressivement professionnalisee, oscillant entre un fonctionnement conventionnel et une dilution dans le champ plus general de la bio, est particulierement appropriee a l'analyse de la diversite des modes d'expression des enjeux environnementaux dans l'espace public, du militantisme traditionnel a la pratique d'une activite economique.
iSparse: Output Informed Sparsification of Neural Network
Venue: ICMR
Year: 2020

Deep neural networks have demonstrated unprecedented success in various multimedia applications. However, the networks created are often very complex, with large numbers of trainable edges that require extensive computational resources. We note that many successful networks nevertheless often contain large numbers of redundant edges. Moreover, many of these edges may have negligible contributions towards the overall network performance. In this paper, we propose a novel iSparse framework and experimentally show, that we can sparsify the network without impacting the network performance. iSparse leverages a novel edge significance score, E, to determine the importance of an edge with respect to the final network output. Furthermore, iSparse can be applied both while training a model or on top of a pre trained model, making it a retraining free approach leading to a minimal computational overhead. Comparisons of iSparse against Dropout, L1, DropConnect, Retraining Free, and Lottery Ticket Hypothesis on benchmark datasets show that iSparse leads to effective network sparsifications.
Using the CLIL approach in teaching maths in the fourth grade
Year: 2021

The present paper focuses on teaching English and mathematics in primary school using the content and language integrated learning (CLIL) approach. In practice, the CLIL approach implies that learners use a foreign language as a medium to study subjects, such as natural sciences, geography, or mathematics which are usually taught in the first language. There are several benefits of using the CLIL approach in teaching a foreign language in primary school. For the purpose of our research the most important benefits can be seen in the fact that CLIL enables the learner to access subject specific target terminology, it provides opportunities to study content through different perspectives and at the same time allows learners to gain advanced understandings of subject specific content (Coyle et al 2010, Klimova 2012) Another important advantage is that it enhances a higher level of cross curricular integration. In order to explore the efficiency of using the CLIL approach in teaching English and mathematics, we carried out an experiment in which we compared the control group of pupils who had a mathematics lesson in Slovenian with the experimental group in which the same lesson was conducted in the English language. The sample consisted of 133 primary school pupils in the fourth grade (aged 9/10) from three different schools in Slovenia. The results of the post test showed that the classes which were taught in Slovene were generally more successful than the CLIL classes. However, in the majority of the items tested, there were no statistically significant differences and the aims have been achieved by both, the control and experimental groups. This suggests that CLIL can be seen as an efficient approach in teaching selected mathematical content through English. Coyle, D. Hood, P. in Marsh, D. (2010) CLIL: Content and Language
Developing Assessment Instruments of PISA Model to Measure Students' Problem Solving Skills and Scientific Literacy in Junior High Schools
Year: 2020

This study aims at producing an assessment instrument of the PISA model to measure students' problem solving skills and scientific literacy in junior high schools that are valid, practical, and having potential effects. This research employed the design of development studies. The analysis used the Item Response Theory (IRT) Rasch model based on the junior high school students' responses to the developed PISA assessment instrument on natural science subjects. The result of this study was a test set of PISA model for the material of Vibration, Wave, and Sound consisting of 40 items. The test was valid in terms of content, constructs, and language according to the expert assessment, and practical based on small group trials. It also had a potential effect based on the students' answers and questionnaires results in the field test. The qualitative analysis showed that the developed test had several potential effects, i.e. the development of students' problem solving skills and scientific literacy so that they gained a relatively high ability to solve a test with the PISA model. The results of quantitative analysis through field test trials showed that there was a significant effect from the application of the PISA model test to enhance students' scientific literacy and problem solving skills in the junior high school with the Sig. value of 0.000 which was less than the significance level of 0.05 (a 5%
Staff Perception of Leader Emotional Competency as a Predictor of Satisfaction with Retention Factors
Year: 2013

This study explored whether staff members' perceptions of leaders' emotional competency (measured by the Emotional Competency Profiler) significantly and positively predict their satisfaction with a set of factors highlighted by the research literature as being important in the retention of staff (measured by the Retention Factors Scale) Data were collected from a non probability purposive sample of staff (n 158) in an asset management company. Multiple regression analysis was conducted to test the proposed research hypothesis. Our results show that staff perceptions of leaders' emotional competency significantly influence their satisfaction with important retention factors. Organizations need to invest in interventions that enhance their managers' emotional competency.
Domestic market competitiveness of Indian drug and pharmaceutical industry
Year: 2020

This paper attempts to analyse the competitiveness of Indian drug and pharmaceutical industry in the domestic market where multinational pharma companies are entering and expanding in a big way, especially after enforcement of product patent regime in 2005. The study applied data envelopment analysis model to estimate relative efficiency and productivity changes in 141 Indian pharmaceutical firms during 2000 2001 to 2012 2013 which encompass pre and post product patent regimes. The present study found negative impact of Product Patent Act on the efficiency scores. The technological change factor is found to have played positive role in the growth of productivity, whereas technical efficiency change depicts the judicious utilization of input resources for improving performance. A sensitivity analysis with the inclusion of R&D expenditure in input variables, confirmed the validity of our selected variables. It found marginal bearing of new patent regime on the efficiency of R&D active firms, though it was found to have significantly impacted efficiency scores of large firms, R&D intensive firms, and group owned firms. The study reported that large size, R&D intensive, private foreign owned and those engaged in drug formulations exhibit better performance. Further, it is found that ownership, capital imports intensity and size have a positive and significant relationship with efficiency scores, whereas the age, time dummy and size square variables are inversely related. The results suggest that Indian firms need substantive improvements in efficiency by adopting best managerial practices, ensuring optimum utilization of resources, and investing significantly in the technology and products innovation.
Manfaat Pemberian Layanan Bimbingan Kelompok Dalam Meningkatkan Komunikasi Dalam Belajar Peserta Didik
Year: 2017

Adanya peserta didik yang lebih banyak berinterksi sosial melalui jaringan dunia maya. Akibatnya peserta didik banyak sekali mengalami permasalahan kesalah pahaman antar peserta didik, ataupun pesrta didik dengan guru. Salah satu layanan yang terdapat dalam Bimbingan dan Konseling adalah layanan bimbingan kelompok, dimana dapat diberikan oleh guru BK supaya perserta didik bersosialisasi dengan baik, terbuka, berani berbicara di depan orang banyak, berani bertanya, menanggapi pendapat orang lain, dapat mengemukakan ide ide dengan baik serta tepa selera. Adapun yang dimaksud layanan bimbingan kelompok adalah bantuan yang memukinkan peserta didikmendapat layanan secara langsung tatap muka dalam rangka membahas topik tertentu secara luas dan mendalam yang bermanfaat bagi peserta didik dengan memanfaatkan dinamika kelompok.
Athari za Kiisimu za Lahaja ya Kitumbatu katika Kiswahili Sanifu Kinachotumika katika Shule za Tumbatu Zanzibar
Year: 2017

Utafiti huuumejadili "Athari za Kiisimu za Lahaja za Kitumbatu katika Kiswahili Sanifu Kinachotumika Katika Shule za Tumbatu Zanzibar".Utafiti ulifanyika Wilaya ya Kaskazini "A" Unguja na uliongozwa na Nadharia Kidhi ya Mawasiliano. Nadharia hiyo ilianzishwa na Howard (1973) ambayo lengo lake kuu ni kueleza sababu za kubadili mtindo wa matamshi wakati wa mawasiliano wa kijamii na kuangalia athari zake katika jamii. Katika utafiti huu, data zilikusanywa kwa kutumia mbinu ya hojaji, usaili na uchunguzi shirikishi. Jumla ya watafitiwa walikuwa 68. Miongoni mwao walimu walikuwa 29, na wanafunzi walikuwa 39. Vilevile utafiti huu umeonesha matokeo. Miongoni mwa matokeo hayo ni kwamba lahaja ya Kitumbatu baadhi ya wakati maumbo ya maneno hutumia ulahaja. Pia, lahaja ya Kitumbatu hudondosha viambishi katika maneno.Mwisho, sura imehitimisha kwa kutoa mapendekezo ambayo yatasaidia wanajamii kufanya tafiti kwa za lahaja mbalimbali kwa lengo la kuweka kumbukumbu kwa vizazi vya baadaye.