nils-herrmann/clean_scirepeval huggingface dataset:
A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding
Venue: G3: Genes, Genomes, Genetics
Year: 2019

Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this paper we explore the genomic based prediction performance of two popular machine learning methods: the Multi Layer Perceptron (MLP) and support vector machine (SVM) methods vs. the Bayesian threshold genomic best linear unbiased prediction (TGBLUP) model. We used the percentage of cases correctly classified (PCCC) as a metric to measure the prediction performance, and seven real data sets to evaluate the prediction accuracy, and found that the best predictions (in four out of the seven data sets) in terms of PCCC occurred under the TGLBUP model, while the worst occurred under the SVM method. Also, in general we found no statistical differences between using 1, 2 and 3 layers under the MLP models, which means that many times the conventional neuronal network model with only one layer is enough. However, although even that the TGBLUP model was better, we found that the predictions of MLP and SVM were very competitive with the advantage that the SVM was the most efficient in terms of the computational time required.
Distance aware Molecule Graph Attention Network for Drug Target Binding Affinity Prediction
Venue: ArXiv
Year: 2020

Accurately predicting the binding affinity between drugs and proteins is an essential step for computational drug discovery. Since graph neural networks (GNNs) have demonstrated remarkable success in various graph related tasks, GNNs have been considered as a promising tool to improve the binding affinity prediction in recent years. However, most of the existing GNN architectures can only encode the topological graph structure of drugs and proteins without considering the relative spatial information among their atoms. Whereas, different from other graph datasets such as social networks and commonsense knowledge graphs, the relative spatial position and chemical bonds among atoms have significant impacts on the binding affinity. To this end, in this paper, we propose a diStance aware Molecule graph Attention Network (S MAN) tailored to drug target binding affinity prediction. As a dedicated solution, we first propose a position encoding mechanism to integrate the topological structure and spatial position information into the constructed pocket ligand graph. Moreover, we propose a novel edge node hierarchical attentive aggregation structure which has edge level aggregation and node level aggregation. The hierarchical attentive aggregation can capture spatial dependencies among atoms, as well as fuse the position enhanced information with the capability of discriminating multiple spatial relations among atoms. Finally, we conduct extensive experiments on two standard datasets to demonstrate the effectiveness of S MAN.
Interne Kommunikation in Zeiten von Covid 19 wie die Pandemie die interne Kommunikation verandert hat eine qualitative Studie
Year: 2020

4 1 Vorwort Von Katharina Kramer und Annette Pfizenmayer 5 2 Auf einen Blick Von Katharina Kramer und Annette Pfizenmayer 7 3 Theoretische Grundlagen Von Perissa Buschi, Timea Hunkeler, Olivia Kolbli, Nuria Rogger und Lea Waxenberger 12 3.1 Digitale Transformation 12 3.2 Interne Kommunikation 12 3.3 Interne Kommunikation in Zeiten digitaler Transformation 13 3.4 Kommunikation in Zeiten von Covid 19 14 3.5 Krisenkommunikation 14 3.6 Change Management 14 4 Methode Von Saara Iten, Lea Keller, Livia Miliffi und Sara Triacca 16 4.1 Arbeits Hypothesen. 16 4.2 Datenerhebung und qualitative Leitfadeninterviews 16 4.3 Interviewteilnehmerinnen und teilnehmer 17 4.4 Aufbereitungsverfahren 17 4.5 Auswertung 18 5 Ergebnisse Von Perissa Buschi, Timea Hunkeler, Olivia Kolbli, Nuria Rogger und Lea Waxenberger. 19 5.1 Organisationsform und Arbeitsstrukturen 19 5.2 Veranderungen aufgrund Covid 19 20 5.3 Herausforderungen 21 5.4 Ziele 21 5.5 Themen 22 5.6 Kommunikationskanale und Tools 23 5.7 Verhalten, Einstellung und Befahigung der Mitarbeitenden 23 5.8 Ausblick: Was sind nachhaltige Veranderungen? 24 6 Schlussbetrachtungen Von Noe Freiburghaus, Maurus Held, Magdalena Rast, Patrick Siegrist 25 Bibliographie 26 Die Autorinnen und Autoren 28 Die Herausgeberinnen 29
A Pilot Randomized Controlled Trial of a Mindfulness Program for Filipino Children
Venue: Mindfulness
Year: 2019

This study examines the feasibility and acceptability of a local adaptation of a mindfulness based cognitive therapy (MBCT) program for Filipino school children, called Kamalayan, that was facilitated by trained public school teachers. It also presents preliminary evidence of program effects on the children's depressive and anxiety symptoms and difficulties in emotion regulation.  We utilized a randomized controlled design with an active control condition. Filipino elementary and high school students aged 9 to 16 years old from low resource schools were randomly assigned to the Kamalayan n 87) or the active control Handicrafts condition n 99) Changes in outcomes from baseline, immediate post intervention, and 2 month follow up were assessed using multilevel modeling.  Participation in the Kamalayan program did not affect depression, anxiety, or emotion regulation. Impulse control difficulties increased for the Handicrafts group across post intervention and follow up but remained stable for Kamalayan participants. Depressive symptoms decreased over time for the Handicrafts group but remained stable for the Kamalayan condition. Implementation issues qualify the absence of program effects, such as the impracticability of delivering after school sessions in the public school context, program content that may be discordant with cognitive developmental and cultural considerations, and the inadequacy of the personal mindfulness practice of the paraprofessional facilitators.  The findings reaffirm the importance of using active control groups and considering the capacities of facilitators in evaluating the effects of mindfulness based interventions. Testing mindfulness based interventions in low resource, non Western school settings require deeper contextual adaptation and facilitator preparation.
Magnetic vortex behavior and its dynamics in nanomagnets in the presence of impurities
Year: 2012

Using spin dynamics simulations we study and present a model for pointlike magnetic impurities in nano magnets based on the exchange coupling between these pointlike impurities and their neighbors. We observed two possible types of impurities, acting as pinning (attractive) or scatter (repulsive) sites. A gaussian profile was observed for the interaction potential energy ranging up to two lattice parameters. Using the known values of the parameters for Permalloy 79 we have calculated the interaction energy of the vortex core with a single defect. We estimated the interaction range as approximately 10 nm Both results agree quite well with experimental measurements. Also, we study the influence of magnetic impurities in the frequency of the gyrotropic mode in nanodisks of Permalloy 79. We observed fluctuations in the frequency which is in agreement with recent experimental results.
The Importance of Marine Spatial Planning for Marine Resources Management in the Gulf of Mannar, Sri Lanka
Year: 2019

Management of marine resource is necessary for the wellbeing of coastal communities and the components of marine eco system. Marine Spatial Planning (MSP) is the process of interaction of human activities in marine areas for achieving ecological, economic and social objects for long term sustainable developments. This study is focused for implementing MSP as a conservation and resources management tool in Gulf of Mannar area with adequate consideration of the existing healthy, productive and resilient marine ecosystem. Gulf of Mannar is the first biosphere reserve in the South and South East Asian region and ecological sensitive area which repository more than 3,600 species of animals and plants. Further, it's known as the one of the most biological diverse coastal environment enriched with productive habitats such as coral reefs, sea grass beds, mangroves, estuaries, sandy beaches and endangered species. This coastal zone is already designated for the large number of human activities such as oil and gas exploration, fishing and aquaculture, shipping, tourism, renewable energy production and the scientific research. The marine environment of this region is highly affected by these human activities in terms of demands for the use of the resources for producing goods and services. These increased development pressures on the marine environment and the potential is arising the multiple use conflicts. Therefore, MSP is a solution for avoiding the pitfalls and overcome these shortcomings. Ocean zoning is utilised as an effective tool of MSP in this study area. Zoning maps were prepared initially and then integrated all available information of human activities and the natural habitats in ArcGIS environment. The final results shows that most of the landing sites are available on the dugong conservation areas and fish trawling activities running closed to the Vankalai coastal wetland which is consists of several ecosystem of scrubland, grassland, sand dunes, mangroves, salt marshes, lagoons, tidal flats, sea grass beds and shallow marine areas. The study area is supporting high ecosystem and species diversity and identified as the best suitable location in Sri Lanka for implementing MSP where oil and gas exploration and fishing activities are running in this highly productive area. The guidelines of IOC UNESCO on MSP can be applied for achieving eco system based management to have significant economic, social and environmental benefits of this region. That will provide the framework for sustainable use of marine ecosystem and sustaining the livelihoods of fisheries dependent communities in this area.  Marine spatial planning, Ocean zoning, Natural habitats, Ecosystem, Marine environment
Design and evaluation of diffractive optical elements: optimization by using iterative angular spectrum approach and evaluation based on vector diffraction theory
Venue: Optics Optoelectronics
Year: 2009

Diffractive optical elements (DOE) are used for various purposes, such as a beam shaper, beam splitter and so on. In order to design DOEs, iterative Fourier transform algorithm (IFTA) is widely used. IFTA is fast and effective optimization method and can handle large size data. In the IFTA, propagation in the far field and near field is described by Fourier transform and Fresnel transform, respectively. Iterative angular spectrum approach (IASA) is one of iterative methods based on angular spectrum technique. IASA adopt angular spectrum technique as expression of propagation in near field instead of Fresnel transform. Angular spectrum technique is based on scalar diffraction theory and satisfies Helmholtz equation; therefore angular spectrum technique is the accurate method for the calculation of diffraction. We designed a DOE by using IASA and evaluated its diffraction characteristics based on vector diffraction theory. In this paper, we report on the outcome.
KAJIAN ESTETIKA POSTMODERN DAN TANDAPADA ILUSTRASI BALI PRIMITIFKARYA PUTU PAGEH
Year: 2018

Ilustrator mengekspresikan imajinasi dengan sumber visualisasi pikiran dan ide serta menjadi cara untuk mempengaruhi masyarakat dalam hal keyakinan dan trend. Ilustrasi Bali Primitif karya Putu Pageh seringkali memvisualisasikan objek yang imajiner. Mengalami kebebasan bentuk, pendistorsian dan deformasi sesuai dengan ragam seni atau pengalaman yang pernah dilihat dan dialami. Putu Pageh adalah cerminan seorang postmodern. Ilustrasi Bali Primitif karya Putu Pageh dituangkan lewat beberapa klien yakni Rock Art Bali, Dear Bali, Etnik Bali dan Oret. Pada tiap ilustrasi memiliki tema yang berbeda dan di imajinasikan ke dalam ikon kebalian yang erat dengan ragam seni di Bali. Adanya pengaruh postmodern pada ilustrasi dilihat dari unsur unsur visualnya. Dengan demikian, penelitian ini membantu menjawab permasalahan estetika dan tanda Ilustrasi Bali Primitif karya Putu Pageh. Penelitian ini merupakan penelitian kualitatif. Data primer yang digunakan untuk penelitian diperoleh dari studi lapangan, wawancara dengan Putu Pageh sebagai informan utama. Data primer juga dilengkapi dengan informasi berbagai sumber berupa jurnal ilmiah, buku, dan sumber kepustakaan lainnya. Data yang diperoleh kemudian dianalisis dengan unsur unsur visual, estetika postmodern serta teori tanda denotasi dan konotasi. Hasil dari penelitian ini, menyimpulkan bahwa ilustrasi Bali Primitif karya Putu Pageh memiliki nilai estetika didalamnya. Diantaranya idiom estetis camp dan skizofrenia. Tanda yang terdapat pada Ilustrasi dibagi menjadi tanda secara visual maupun non visual, dengan sistem tanda denotasi dilihat secara objektif melalui pengamatan bersama dengan illustrator. Pada tingkat kedua sistem tanda konotasi berupa sebuah makna yang berbeda. Adanya permainan tanda sehingga mengakibatkan beragam pesan. Berupa makna sosial, budaya, ekonomi dan juga promosi. Kata Kunci Ilustrasi, Bali, Primitif, Pageh
Novel GTA PVA Fricke gels for three dimensional dose mapping in radiotherapy
Year: 2017

One of the most recent and promising developments in radiotherapy dosimetry was the introduction of 3D radiation sensitive gels. These gels present tissue equivalent composition and density, so they also serve as phantoms, and their response is largely independent of radiation quality and dose rate. Some gels are infused with ferrous sulfate and rely on the radiation induced oxidation of ferrous ions to ferric ions (Fricke gels) These formulations suffer from spontaneous oxidation and diffusion of ferric ions after irradiation; chelating agents such as xylenol orange significantly reduces the latter. Other gel types consist of dispersed monomers, and rely on radiation induced cross linking; they form stable polymer structures, but they are typically affected by significant toxicity. In a large multicenter study, we developed and investigated new formulations of Fricke gels based on poly vinyl alcohol chemically cross linked with glutaraldehyde. The formulation is safe and easy to manufacture, with a sensitivity of 0.073 Gy 1 and a diffusion coefficient of 0.17 mm 2 /h, it arguably offers the best all around performance of current Fricke infused gels. The main original outcomes of the study are described in this work, while reference is made to separate reports for specific procedures and results.
Low frequency noise characteristics of resistor and Si MOSFET type gas sensors fabricated on the same Si wafer with In2O3 sensing layer
Year: 2020

By analyzing the Low Frequency Noise (LFN) characteristics of the resistor type and the Si metal oxide semiconductor Field Effect Transistor (FET) type gas sensors fabricated on the same wafer, the intrinsic device noise and the additional noise generated from the gas reaction are systemically examined. Sensing material, n type Indium Oxide (In2O3) film, is deposited using the radio frequency magnetron sputtering method. Unlike the FET type gas sensor, the LFN characteristics of the resistor type gas sensor are affected by the deposition condition of the sensing material. It is shown that the FET type sensor has at least 10 times less LFN power than the resistor type gas sensor despite its smaller size. Gas to Air Noise Ratio (GANR) is introduced as a new figure of merit to evaluate and compare the LFN characteristics during the gas reaction in both resistor and FET type gas sensors with the sensing layer prepared by different process conditions. The GANRs of the resistor type sensors range from ~2 to 4, which demonstrates that the reaction between the gas molecules and the sensing material generates a fluctuation that exceeds the intrinsic noise of devices. However, the FET type gas sensors have a constant value of GANR ~1) regardless of the operation region, showing that the FET type gas sensors have better performance in terms of noise.
REMOTE SENSING AND GIS IN URBAN SPRAWL AND ARABLE LAND LOSS ANALYSIS: A CASE OF BAMAKO DISTRICT IN MALI
Year: 2018

This paper analyzes the impacts of urban sprawl on arable land loss in Bamako district from 1990 to 2018 by using remote sensing and geographic information science capabilities. The analysis was based on satellite images classification of Landsat Thematic Mapper (TM) 1990, 2000, Landsat Enhanced Thematic Mapper Plus (ETM+ 2010, Landsat 8 Operational Land Image and Thermal Infrared Sensor (OLI/TIRS) image for 2018 to show land use and cover changes, in particular arable land loss. The results showed a significant evolution of land use and land cover and important arable land loss. From 1990 to 2018, the construction has increased by 73.06% while arable land decreased by 55.39% The results also revealed that urban sprawl has exceeded the administrative boundaries of Bamako and is continuing in neighboring municipalities. This article recommends the adoption of legal measures, the development of urban development master plan, and close collaboration with different actors involve in land management for better management of arable land and urban sprawl. Finally, for a global understanding of the phenomenon in the urban area of Bamako, the study suggests a more in depth study of a global approach to urban sprawl in the Bamako district, taking into account the surrounding rural communes, which affect today greatly the urban sprawl of Bamako.
Pilot comparative study of unilateral and bilateral robot assisted training on upper extremity performance in patients with stroke.
Venue: The American journal of occupational therapy official publication of the American Occupational Therapy Association
Year: 2012

We compared a unilateral robot assisted training protocol (URTP) and a bilateral robot assisted training protocol (BRTP) to study their differential effects. We recruited 21 patients with stroke who received 90 105 min of therapy 5 days/wk for 4 wk. Participants in the URTP and BRTP groups practiced forearm pronation and supination and wrist flexion and extension in a simultaneous manner with the Bi Manu Track. The control group received standard rehabilitation. Clinical measures included the Fugl Meyer Assessment, the Medical Research Council instrument, grip strength, and the Modified Ashworth Scale to assess motor impairment, muscle power, muscle strength, and spasticity, respectively. The pilot study indicated that the URTP and BRTP might have differential benefits for movement improvement. URTP might be a more compelling approach to improving upper limb motor impairment, muscle power, and strength at the distal joints than BRTP, whereas BRTP could be an optimal approach to improving proximal muscle power.
Brief RESPONSE TO THE COVID 19 CRISIS DIFFERENCES BETWEEN FEMALE AND MALE LED COMPANIES IN THREE INCOME GROUPS
Year: 2021

RESPONSE TO THE COVID 19 CRISIS: DIFFERENCES BETWEEN FEMALE AND MALELED COMPANIES IN THREE INCOME GROUPS AUTHORS XUE NING, JIBAN KHUNTIA, AND DAWN GREGG  Many organizations have asked their employees to work remotely to maintain social distancing during the COVID 19 pandemic. The scale and impacts of mandatory teleworking are unprecedented. According to Talentlyft1, only 7% of US workers (primarily managers) worked from home regularly before COVID 19, but this increased to 62% of US employees working from home during the pandemic. This increase was driven by lockdown rules which required many companies to close their physical businesses to confine the pandemic. The restrictions placed on face to face interaction also pushed many companies to move their business to online sales. For example, a survey 2 by TD Bank's Restaurant Franchise Finance Group shows that 72% of franchisees have enhanced their digital ordering capabilities in response to the needs in the COVID 19 era. Both remote working and transformation to online sales supported business continuity during the COVID 19 crisis. Like the COVID 19 pandemic, worldwide crises can lead to significant financial disruptions as many companies may not have well prepared plans that allow them to adapt to the sudden changes in their industries. Many, but not all, companies respond to these disruptions with employee furloughs and layoffs3. How can some companies achieve business continuity while also acting socially responsible during a crisis while others cannot? Researchers indicated that women leaders are more likely to do better than male leaders in a crisis4. Studies show that during the COVID 19 pandemic, international female leaders are more resilient and are doing better in uncertain times5. With data from 8,755
Raw Material Minimum Order Quantity Optimization
Year: 2019

The sponsoring company, wants to review their raw material ordering policy and production plan for one of their product segments. This product faces a high degree of volatility in demand and the company currently orders one month of demand worth of products from the suppliers. The suppliers offer incremental discounts for larger quantities of raw materials ordered, and the company wants to leverage this discount better. To that end, our research focuses on how to optimize the raw material ordering policy in a way that reduces the total costs, while storing sufficient raw materials to ensure continuity of the production plan. The model we developed provides the optimal minimum order quantity (MOQ) to use while re ordering raw materials. It also incorporates a switching rule that automatically switches the MOQ value to a higher or lower value depending on the demand forecast and determines the order quantity (OQ) of the raw material. Capstone Advisor: Dr. Marina G Mattos Title: Postdoctoral Associate, Supply Chain Management
How and to what extent has the demographic dividend affected China's economic growth?
Year: 2020

This paper aims to clarify how and to what extent the demographic dividend has affected China's economic growth. China has experienced rapid demographic transition since the 1970s, as the working age population has increased, and the dependent population ratio has decreased. Such demographic transition provides favorable conditions for economic growth, thereby producing economic fruits referred to as the "demographic dividend" which are considered to include two economic effects: the "labor effect" and the "capital effect" The results of previous studies and a simple analysis of macro data confirm that China's demographic dividend long exerted more of a "capital effect" on economic growth than a "labor effect" In other words, the decreasing dependent population ratio elevated the savings rate, and the increasing working age population increased total savings, which were used for investment in physical capital. The growth of physical capital was the main engine for China's economic growth. However, in the 2010s, the decreasing working age population and the increasing dependency ratio reduced the savings rate and lowered the capital formation rate. The "capital effect" of the demographic dividend is no longer a strong driving force of the Chinese economy.