nils-herrmann/clean_scirepeval huggingface dataset:
Efek Minyak Buah Merah (Pandanus conoideus Lam. Terhadap Proses Penyembuhan Luka Sayat pada Mencit Jantan Galur Swiss Webster
Year: 2016

Buah merah sering digunakan secara topikal oleh masyarakat di Papua untuk membantu mempercepat penyembuhan luka.  Untuk mengetahui peranan minyak buah merah dalam mempercepat proses penyembuhan luka sayat pada mencit secara histopatologis. Metode Penelitian: Penelitian ini bersifat eksperimental sungguhan. Hewan coba mencit jantan sebanyak 27 ekor dibagi dalam tiga kelompok. Kemudian mencit diberi luka sayat dan dioleskan feracrylum pada luka untuk kelompok kontrol positif, akuades steril untuk kelompok kontrol negatif, dan buah merah untuk kelompok perlakuan. Perlakuan diberikan tiap hari selama 7 hari dan dibuat preparat histologis untuk menilai derajat epitelisasi dan kolagen. Analisis menggunakan uji Kruskal Wallis, dilanjutkan dengan uji Mann Whitney yang sesuai dengan a=0,05. Hasil Penelitian: Dengan metode Kruskal Wallis didapatkan p 0.000* untuk derajat epitelisasi, dan p 0.014* untuk derajat kolagen, sehingga menunjukan adanya perbedaan pada minimal satu kelompok perlakuan. Kemudian dilanjutkan dengan uji Mann Whitney p 0.001* pada derajat epitelisasi dan p 0.019* pada derajat kolagen antara kelompok perlakuan buah merah dengan kelompok kontrol negatif. Simpulan Penelitian: Minyak buah merah dapat mempercepat proses penyembuhan luka sayat pada mencit secara histopatologi.
UML in der Hochschullehre: Eine kritische Reflexion (UML in Higher Education: A Critical Reflection)
Venue: SEUH
Year: 2019

Trotz ihrer hohen Bekanntheit und Verbreitung ist die Unified Modelling Language (UML) 20 Jahre nach der Vorstellung ihrer ersten Version in der Softwaretechnik nicht unumstritten. Ein wesentlicher Grund ist ihre unklare Nutzung in der Praxis die u.a. durch Ausdifferenzierung von Softwareproduktarten, agilen Entwicklungsansatzen sowie Microservices als Architekturstil mit reduzierter Komplexitat beeinflusst wird. Diese Trends befordern eine Abkehr von klassischen Top DownAnsatzen mit sequenziellem Vorgehen, das umfangreiche Spezifikationen der Anforderungen und des Entwurfs erfordert. Fur die Lehre (insbesondere auf Bachelorniveau) stellt sich daher die Frage, ob wir UML uberhaupt noch brauchen und wenn ja, wofur und in welchem Umfang. Ziel dieses Beitrags ist es, empirische Belege zur Relevanz der UML zusammenzutragen und daraus Schlussfolgerungen fur mogliche Kompetenzziele in der Softwaretechnikausbildung zu ziehen. Unser Ziel ist es, eine aktuelle Sicht auf die praktische Relevanz der UML zu liefern und damit die Diskussion uber die Ausgestaltung der Lehre im Fach Softwaretechnik anzuregen.
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions
Venue: IDA
Year: 2020

In this paper, we describe the combination of machine learning and simulation towards a hybrid modelling approach. Such a combination of data based and knowledge based modelling is motivated by applications that are partly based on causal relationships, while other effects result from hidden dependencies that are represented in huge amounts of data. Our aim is to bridge the knowledge gap between the two individual communities from machine learning and simulation to promote the development of hybrid systems. We present a conceptual framework that helps to identify potential combined approaches and employ it to give a structured overview of different types of combinations using exemplary approaches of simulation assisted machine learning and machine learning assisted simulation. We also discuss an advanced pairing in the context of Industry 4.0 where we see particular further potential for hybrid systems.
Automatic Detection of Track and Fields in China from High Resolution Satellite Images Using Multi Scale Fused Single Shot MultiBox Detector
Venue: Remote. Sens.
Year: 2019

Object detection is facing various challenges as an important aspect in the field of remote sensing especially in large scenes due to the increase of satellite image resolution and the complexity of land covers. Because of the diversity of the appearance of track and fields, the complexity of the background and the variety between satellite images, even superior deep learning methods have difficulty extracting accurate characteristics of track and field from large complex scenes, such as the whole of China. Taking track and field as a study case, we propose a stable and accurate method for target detection. Firstly, we add the "deconvolution" and "concat" module to the structure of the original Single Shot MultiBox Detector (SSD) where Visual Geometry Group 16 (VGG16) is served as a basic network, followed by multiple convolution layers. The two modules are used to sample the high level feature map and connect it with the low level feature map to form a new network structure multi scale fused SSD (abbreviated as MSF_SSD) MSF SSD can enrich the semantic information of the low level feature, which is especially effective for small targets in large scenes. In addition, a large number of track and fields are collected as samples for the whole China and a series of parameters are designed to optimize the MSF_SSD network through the deep analysis of sample characteristics. Finally, by using MSF_SSD network, we achieve the rapid and automatic detection of meter level track and fields in the country for the first time. The proposed MSF_SSD model achieves 97.9% mean average precision (mAP) on validation set which is superior to the 88.4% mAP of the original SSD. Apart from this, the model can achieve an accuracy of 94.3% while keeping the recall rate in a high level (98.8% in the nationally distributed test set, outperforming the original SSD method.
PENGARUH KOMBINASI DOSIS PUPUK HIJAU BIOMASSA KIRINYU (Chromolaena odorata L. DAN KONSENTRASI PUPUK ORGANIK CAIR LIMBAH PASAR TERHADAP PERTUMBUHAN DAN HASIL TANAMAN CABAI RAWIT (Capsicum frutescens L.
Year: 2019

PENGARUH KOMBINASI DOSIS PUPUK HIJAU BIOMASSA KIRINYU (Chromolaena odorata L. DAN KONSENTRASI PUPUK ORGANIK CAIR LIMBAH PASAR TERHADAP PERTUMBUHAN DAN HASIL TANAMAN CABAI RAWIT (Capsicum frutescens L. The Influence of The Combination Dosage of Green Manure Biomass Kirinyu (Chromolaena odorata L. and Consentration of Liquid Organic Fertilizer Market Waste to Growth and Yield of Cayenne Pepper (Capsicum frutescens L. Mery Anggrine Bau, Elias St. O. Nguru; Antonius S.S. Ndiwa Program Studi Agroteknologi, Fakultas Pertanian, Universitas Nusa Cendana,  ABSTRAK Penelitian dilaksanakan di rumah kaca Fakultas Pertanian, Universitas Nusa Cendana Kupang dan di mulai dari bulan Desember 2017 April 2018.Tujuan penelitian ini adalah untuk mengetahui pengaruh kombinasi dosis pupuk hijau biomassa kirinyu dan konsentrasi pupuk organik cair limbah pasar terhadap pertumbuhan dan hasil tanaman cabai rawit dan mengetahui kombinasi dosis pupuk hijau biomassa kirinyu dan konsentrasi pupuk organik cair limbah pasar yang memberikan pertumbuhan dan hasil tanaman cabai rawit yang maksimal.Kombinasi dosis pupuk hijau biomassa kirinyu dan konsentrasi pupuk organik cair limbah pasar sebagai faktor tunggal sebanyak 6 perlakuan kombinasi dan dalam ulangan, sehingga terdapat 24 unit percobaan. Perlakuan kombinasi tersebut berturut turut yakni: K0) Tanpa pupuk hijau biomassa kirirnyu dan pupuk organik cair limbah pasar, K1) Tanpa pupuk hijau biomassa kirinyu dan pupuk organik cair limbah pasar 10 ml.Liter 1 air, K2) Tanpa pupuk hijau biomassa kirinyu dan pupuk organik cair limbah pasar 20 ml.Liter 1 air, K3) Pupuk hijau biomassa kirinyu 30 tons.ha 1 setara dengan150 g.polibag 1 dan tanpa pupuk organik cair limbah pasar, K4) Pupuk hijau biomassa kirinyu 30 ton.ha 1 setara dengan 150 g.polibag 1 dan pupuk organik cair limbah pasar 10 ml.Liter 1, K5) Pupuk hijau biomassa kirinyu 30 ton.ha 1 setara dengan 150 g.polibag 1 dan Pupuk organik cair limbah pasar 20 ml.Liter 1 air. Data dianalisis menggunakan sidik ragam dan dilanjutkan dengan uji lanjut BNJ 0,05. Hasil penelitian menunjukkan bahwa kombinasi dosis pupuk hijau biomassa kirinyu 30 ton.ha 1 setara dengan 150 g.polibag 1dan konsentrasi pupuk organik cair limbah pasar 20 ml.Liter 1air berpengaruh meningkatkan pertumbuhan tanaman cabai rawit melalui pertambahan tinggi tanaman, pertambahan jumlah daun dan berat kering biomassa tanaman cabai rawit yang nyata, dan berpengaruh tidak nyata terhadap jumlah cabang produktif dan kombinasidosispupuk hijau biomassa kirinyu 30 ton.ha 1 setara dengan 150 gram.polibag 1 dan konsentrasi pupuk organik cair limbah pasar 10 20 ml.Liter 1 air memberikan rerata jumlah total buah segar dan rerata jumlah bobot segar buah cabai rawit tiap tanaman yang nyata tertinggi. Kata kunci Pupuk Hijau Biomassa Kirinyu, Pupuk Organik Cair Limbah Pasar, Cabai Rawit.
Tracking data flow at gate level through structural
Venue: 2016 International Great Lakes Symposium on VLSI (GLSVLSI)
Year: 2016

The rapid growth of Internet of things and other electronic devices make a huge impact on how and where data travel. The confidential data (e.g. personal data, financial information) that travel through unreliable channels can be exposed to attackers. In hardware, the confidential data such as secret cipher keys are facing the same issue. This problem is even more serious when the IP is from a 3rd party and contains scan chains. Thus, data flow tracking is important to analyze possible leakage channels in fighting against such hardware security threats. This paper introduces a method for tracking data flow and detecting potential hardware Trojans in gate level soft IPs using assets and Structural Checking tool.
Factors affecting the fashion purchase decision making of single Koreans
Venue: Fashion and Textiles
Year: 2019

The number of single consumers in Korea has recently undergone a rapid increase, making this demographic a major consumer market. Through this study, we attempt to better understand this group by focusing on single consumers' decision making and the factors influencing their fashion purchases. To this end, we investigate the relationships between feelings of self consciousness, information search tendencies, decision making, and post purchase satisfaction of single person households after fashion purchases. Data were obtained from 717 questionnaire responses from individuals aged 20 49 years from single person households. The results of the study showed that the relationship between private self consciousness and introverted information searches was stronger than that between private self consciousness and extroverted information searches. The relationship between public self consciousness and extroverted information searches was stronger than that between public self consciousness and introverted information searches. In addition, introverted information searches had a positive relationship with self determination, while extroverted information searches were significantly related only to non self determination. Finally, the positive relationship between satisfaction and self determination was stronger than that between satisfaction and non self determination. Overall, the study identified important factors affecting the decision making process of single Koreans. These findings are vital for Korean fashion marketers, and managerial suggestions are included to implement marketing strategies to target single people.
Accountability for SRHR in the context of the COVID 19 pandemic
Venue: Sexual and reproductive health matters
Year: 2020

Governments and international organisations are focused on COVID 19 crisis decision making. As a result, global and national health governance contexts are changing dramatically, as are the social and political determinants of sexual and reproductive health and rights (SRHR) Various gender dimensions of the pandemic are clear. While initial data suggest that men are more vulnerable to COVID 19 related mortality, in many high, middle, and low income countries, the "essential workers" and informal workers who are disproportionately exposed are disproportionately lower social status women.  Intersecting injustices mean that certain disadvantaged groups are particularly hard hit.  In addition, they now face seriously disrupted health care services for SRH care.
HEVC Intra Frame Coding Based on Convolutional Neural Network
Venue: IEEE Access
Year: 2018

The HEVC standard offers high performance with a lower bitrate for intra frame coding, but still requires many bits. An alternative intra frame coding framework based on convolutional neural network (CNN) is proposed in this paper. Two CNN models, simplified CNN (S CNN) and complicated CNN (C CNN) were designed and trained to improve the coding performance of HEVC. In intra frame coding, the trained CNN predicts the residual for reconstructed blocks to enhance visual quality. Due to the high computational complexity of CNN in HEVC encoding, we further explore the tradeoff between computational complexity and coding performance. For S CNN, an early termination mechanism is proposed to further reduce the HEVC encoding complexity. With regard to C CNN, a GPU based heterogeneous architecture is proposed to accelerate CNN processing. Experimental results show that the proposed method with S CNN achieves bitrate savings of 3.1% with a 37% increase in time cost, and 2.8% in bitrate savings with only a 23% increase in time cost when applying the early termination algorithm. In the case of C CNN, the execution time of CNN can reach increases in speed of 8.8 17.8 \times$ and a bitrate savings of up to 5.1% on average.
A machine learning based plasticity model using proper orthogonal decomposition
Venue: ArXiv
Year: 2020

Data driven material models have many advantages over classical numerical approaches, such as the direct utilization of experimental data and the possibility to improve performance of predictions when additional data is available. One approach to develop a data driven material model is to use machine learning tools. These can be trained offline to fit an observed material behaviour and then be applied in online applications. However, learning and predicting history dependent material models, such as plasticity, is still challenging. In this work, a machine learning based material modelling framework is proposed for both elasticity and plasticity. The machine learning based hyperelasticity model is developed with the Feed forward Neural Network (FNN) directly whereas the machine learning based plasticity model is developed by using of a novel method called Proper Orthogonal Decomposition Feed forward Neural Network (PODFNN) In order to account for the loading history, the accumulated absolute strain is proposed to be the history variable of the plasticity model. Additionally, the strain stress sequence data for plasticity is collected from different loading unloading paths based on the concept of sequence for plasticity. By means of the POD, the multi dimensional stress sequence is decoupled leading to independent one dimensional coefficient sequences. In this case, the neural network with multiple output is replaced by multiple independent neural networks each possessing a one dimensional output, which leads to less training time and better training performance. To apply the machine learning based material model in finite element analysis, the tangent matrix is derived by the automatic symbolic differentiation tool AceGen. The effectiveness and generalization of the presented models are investigated by a series of numerical examples using both 2D and 3D finite element analysis.
Early impacts of the COVID 19 pandemic on mental health care and on people with mental health conditions: framework synthesis of international experiences and responses
Venue: Social Psychiatry and Psychiatric Epidemiology
Year: 2020

The COVID 19 pandemic has many potential impacts on people with mental health conditions and on mental health care, including direct consequences of infection, effects of infection control measures and subsequent societal changes. We aimed to map early impacts of the pandemic on people with pre existing mental health conditions and services they use, and to identify individual and service level strategies adopted to manage these.  We searched for relevant material in the public domain published before 30 April 2020, including papers in scientific and professional journals, published first person accounts, media articles, and publications by governments, charities and professional associations. Search languages were English, French, German, Italian, Spanish, and Mandarin Chinese. Relevant content was retrieved and summarised via a rapid qualitative framework synthesis approach.  We found 872 eligible sources from 28 countries. Most documented observations and experiences rather than reporting research data. We found many reports of deteriorations in symptoms, and of impacts of loneliness and social isolation and of lack of access to services and resources, but sometimes also of resilience, effective self management and peer support. Immediate service challenges related to controlling infection, especially in inpatient and residential settings, and establishing remote working, especially in the community. We summarise reports of swiftly implemented adaptations and innovations, but also of pressing ethical challenges and concerns for the future.  Our analysis captures the range of stakeholder perspectives and experiences publicly reported in the early stages of the COVID 19 pandemic in several countries. We identify potential foci for service planning and research.
Ultrasensitive immunosensor for cancer biomarker proteins using gold nanoparticle film electrodes and multienzyme particle amplification.
Venue: ACS nano
Year: 2009

A densely packed gold nanoparticle platform combined with a multiple enzyme labeled detection antibody magnetic bead bioconjugate was used as the basis for an ultrasensitive electrochemical immunosensor to detect cancer biomarkers in serum. Sensitivity was greatly amplified by synthesizing magnetic bioconjugates particles containing 7500 horseradish peroxidase (HRP) labels along with detection antibodies (Ab2) attached to activated carboxyl groups on 1 microm diameter magnetic beads. These sensors had sensitivity of 31.5 microA mL ng( 1) and detection limit (DL) of 0.5 pg mL( 1) for prostate specific antigen (PSA) in 10 microL of undiluted serum. This represents an ultralow mass DL of 5 fg PSA, 8 fold better than a previously reported carbon nanotube (CNT) forest immunosensor featuring multiple labels on carbon nanotubes, and near or below the normal serum levels of most cancer biomarkers. Measurements of PSA in cell lysates and human serum of cancer patients gave excellent correlations with standard ELISA assays. These easily fabricated AuNP immunosensors show excellent promise for future fabrication of bioelectronic arrays.
From DNA to Targeted Therapeutics: Bringing Synthetic Biology to the Clinic
Venue: Science Translational Medicine
Year: 2011

Recent advances in synthetic biology could address prevailing medical challenges. Synthetic biology aims to make biological engineering more scalable and predictable, lowering the cost and facilitating the translation of synthetic biological systems to practical applications. Increasingly sophisticated, rationally designed synthetic systems that are capable of complex functions pave the way to translational applications, including disease diagnostics and targeted therapeutics. Here, we provide an overview of recent developments in synthetic biology in the context of translational research and discuss challenges at the interface between synthetic biology and clinical medicine.
The Cambridge Companion to Vygotsky
Year: 2007

Harry Daniels, Michael Cole and James V. Wertsch Part I. Vygotsky in  1. Vygotsky  Rene van der Veer 2. Vygotsky's demons David Bakhurst 3. An interesting resemblance: Vygotksy, Mead and American pragmatism Anne Edwards 4. Vygotsky, Mead, and the new sociocultural studies of identity Dorothy Holland and William Lachicotte, Jr 5. Vygotsky on thinking and speaking Vera P. John Steiner Part II. Readings of Vygotsky: 6. Terminology in L. S. Vygotsky's writing Boris Meshcheryakov 7. Mediation James V. Wertsch 8. Vygotsky and culture Michael Cole and Natalia Gajdamaschko 9. Thought and word: the approaches of L. S. Vygotsky and G. G. Shpet Vladamir Zinchenko 10. The development of children's conceptual relation to the world with focus on concept in pre school children's activity Mariane Hedegaard 11. Inside and outside the Zone of Proximal Development: an eco functional reading of Vygotsky Amelia Alvarez and Pablo del Rio Part III. Applications of Vygotsky's Work: 12. Pedagogy Harry Daniels 13. Sociocultural theory and education of children with special needs: from defectology to remedial pedagogy Alex Kozulin and Boris Gindis 14. Putting Vygotsky to work: the change laboratory as an application of double stimulation Yrjo Engestrom.
Dynamic Monte Carlo simulations of the reaction mechanism of hydrogen production from formic acid on Ni(1 0 0)
Venue: Applied Surface Science
Year: 2019

In this research, the kinetic and mechanism of hydrogen production by formic acid decomposition on Ni(1 0 0) was investigated using dynamic Monte Carlo simulation. The default square periodic lattice with the size of 2800 x 2800 cells has been used and top, hollow and two bridge sites on the surface have been considered. In this modeling, the experimental evidences concerning formic acid decomposition on Ni(1 0 0) surface such: adsorption, desorption, H2 and CO2 production and formic acid dissociation take into account. It was shown that the mechanism and also kinetic parameters of elementary reactions can be obtained by fitting results of dynamic Monte Carlo simulations to experiment TPD findings. The model was used to predict the variations in reaction rates and adsorbate coverages by changing the formic acid pressure in the gas phase at constant temperature. Finally, a temperature and a pressure (which show the maximum values of hydrogen production) were chosen and the system was simulated at their constant values.
Kontinuitas dan Diskontinuitas Pendidikan Kader Pondok Hajjah Nuriyah Shabran (1982 2014)
Year: 2020

Penelitian ini akan membahas masalah kontinuitas dan diskontinuitas paradigma pendidikan kader Pondok Pesantren Hajjah Nuriyah Shabran (1982 2014) dan kaitannya dengan diaspora peradaban Muhammadiyah. Tulisan ini mengamati transformasi dan pergeseran orientasi paradigma pendidikan kader Pondok Shabran pasca kepemimpinan Djazman al Kindi, hubungan elit (kekuasaan) dalam pembentukan pandangan paradigma pendidikan, dan kontinuitas dan diskontinuitasnya. Landasan teori tulisan ini adalah teori diaspora, kontinuitas, serta diskontinuitas. Melalui Pondok Shabran, kader kader Persyarikatan mampu melakukan diaspora peradaban dalam rangka membenihkan perubahan sosial.
Sales and Operations Planning (S&OP) Concepts and Models under Constraints: Literature Review
Year: 2018

Globalization has had a significant impact on company's management, particularly in the supply chain (lead time, investment in production capacity and technology, organization management The sales and operations planning (S&OP) include all the processes that link the strategic objectives of the enterprise with the production plan. The impact of the S&OP on operational performance was consistently and significantly demonstrated in the operational aspects of production quality (conformity of production, product quality and reliability) delivery (the delivery agility, reliability of supply, manufacturing deadlines, lead times) stocks (reduction of inventory levels, inventory optimization) and flexibility (flexible volume and mix) Our objective in this paper is to present, in the first part, a literature overview of the sales and operations planning, and various research and models developed. In the second part, we will emphasize the transversal aspect of our research that involves both operational issues, tactical and strategic in a context subject to different constraints.