nils-herrmann/clean_scirepeval huggingface dataset:
Vijay Tendulkar's Ghashiram Kotwal as an Epitome of Critique on Protagonist Ghashiram and Antagonist Nana
Year: 2018

Aristotle believed that man is not only a social but also political animal. Therefore, the political ideas and intuitions are resulting from the political nature of man. The greed for power, persecution and submission has been a continuous process from antiquity of life and it has increased by leaps and bounds in civilized and modernized society. This power structured relationship has been working effectively at different levels such as domestic, social and political. It is a bitter truth that in the cut throat competition for power, reputation, wealth and position people terribly exploit others and use them as mere puppets for their selfish achievements.
Influence of freight transport purchasing processes on logistical variables related to CO2 emissions: a case study in Sweden
Year: 2017

Emissions from freight transport stem from logistical variables such as vehicle utilisation, fuel efficiency, and distance. The purpose is to determine how shippers' freight transport purchasing processes influence logistical variables. A multiple case study of freight transport purchasing processes was conducted, based on interviews with transport purchasers and providers. Three causes of influence of shippers' purchasing processes on logistical variables were found: specific requirements, network structure of transport providers, and scope of contract. Specifications by purchasers, especially time requirements, influence several logistical variables 'mode used' 'length of haul' 'load factor' 'empty running' and 'fuel efficiency' This paper clarifies the implications of transport purchasing on CO2 emissions in terms of logistical variables, which are understood in transportation research and practice. It describes the effects of shippers' requirements on transport providers' execution of transport. The results provide a foundation for shippers to discuss their influence on logistical variables with transport providers.
Model based and Model free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson's Disease
Venue: Scientific Reports
Year: 2018

In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clinical, demographic and neuroimaging data from two independent initiatives (University of Michigan and Tel Aviv Sourasky Medical Center) Using machine learning techniques, we construct predictive models to discriminate fallers and non fallers. Through controlled feature selection, we identified the most salient predictors of patient falls including gait speed, Hoehn and Yahr stage, postural instability and gait difficulty related measurements. The model based and model free analytical methods we employed included logistic regression, random forests, support vector machines, and XGboost. The reliability of the forecasts was assessed by internal statistical (5 fold) cross validation as well as by external out of bag validation. Four specific challenges were addressed in the study: Challenge 1, develop a protocol for harmonizing and aggregating complex, multisource, and multi site Parkinson's disease data; Challenge 2, identify salient predictive features associated with specific clinical traits, e.g. patient falls; Challenge 3, forecast patient falls and evaluate the classification performance; and Challenge 4, predict tremor dominance (TD) vs. posture instability and gait difficulty (PIGD) Our findings suggest that, compared to other approaches, model free machine learning based techniques provide a more reliable clinical outcome forecasting of falls in Parkinson's patients, for example, with a classification accuracy of about 70 80%
Character Aware Decoder for Translation into Morphologically Rich Languages
Venue: MTSummit
Year: 2019

Neural machine translation (NMT) systems operate primarily on words (or sub words) ignoring lower level patterns of morphology. We present a character aware decoder designed to capture such patterns when translating into morphologically rich languages. We achieve character awareness by augmenting both the softmax and embedding layers of an attention based encoder decoder model with convolutional neural networks that operate on the spelling of a word. To investigate performance on a wide variety of morphological phenomena, we translate English into 14 typologically diverse target languages using the TED multi target dataset. In this low resource setting, the character aware decoder provides consistent improvements with BLEU score gains of up to +3.05$ In addition, we analyze the relationship between the gains obtained and properties of the target language and find evidence that our model does indeed exploit morphological patterns.
DINAMIKA KEHIDUPAN PETANI TAMBAK DI KECAMATAN JANGKA KABUPATEN BIREUEN, 1960 2915
Year: 2017

Petani Tambak, Tambak Penelitian ini bertujuan untuk menganalisis dan mengkaji dinamika kehidupan petani tambak di Kecamatan Jangka Kabupaten Bireuen. Adapun pendekatan yang digunakan dalam penelitian ini adalah pendekatan kualitatif dengan menggunakan metode sejarah. Teknik pengumpulan data yang digunakan adalah dengan cara observasi, wawancara, dan dokumentasi, sementara teknik analisa data dengan cara menggunakan kritik sumber atau verifikasi dan penafsiran sumber serta teknik penulisan menggunakan sistematika historiografi. Hasil penelitian ini menunjukkan bahwa budidaya tambak di Kecamatan Jangka sudah dimulai sejak tahun 1960. Awalnya tambak yang dibuat masyarakat berbentuk air tawar, pengembangan budidaya tambak dipengaruhi oleh beberapa faktor seperti keadaan lingkungan, modal, permintaan pasar akan hasil tambak. Petakan tambak pada tiap tahunnya bertambah secara ekstensifikasi oleh masyarakat petani tambak di beberapa desa Kecamatan Jangka. Namun tambak yang sudah ada (intensifikasi) oleh petani tambak tetap dioptimalkan dalam penggunaan lahan. Pada tahun 1985 tambak di Kecamatan Jangka terfokus pada pemeliharaan udang windu. Kecamatan Jangka disebut juga daerah minapolitan sebagai penghasil perikanan terbanyak karena banyaknya lahan tambak yang terdapat di desa desa Kecamatan Jangka. Keadaan sosial ekonomi petani tambak mengalami peningkatan pada tahun 1985 disebabkan oleh banyaknya kebutuhan pasar akan ekspor udang keluar kota hingga Eropa. Rumah petani tambak mengalami perubahan dari bentuk awalnya rumah aceh menjadi semi permanen, hingga saat ini pengembangan budidaya tambak sudah membantu tingkat kesejahtraan masyarakat petani tambak dalam berbagai bidang segi kehidupan.
Caracteristicas de las politicas publicas de fomento a la innovacion y la articulacion productiva de las Pymes en la Republica Dominicana
Year: 2014

El objetivo de esta investigacion es caracterizar las politicas publicas de apoyo al fomento de la innovacion en MIPYMES (Micro, Pequenas y Medianas empresas) en la Republica Dominicana. Es un estudio no probabilistico con una muestra intencionalmente seleccionada, propiamente representada por un 41.7% de funcionarios, instituciones publicas y consultores del sector privado; el restante 58.3% corresponde a los propietarios de Pymes. Los resultados evidencian que las politicas publicas y programas que fomentan la innovacion en Pymes se caracterizan en su diseno y ejecucion por una ausencia de participacion de actores relevantes como: partidos politicos, instituciones financieras, sociedad civil, comunidades, sectores productivos, universidades y centros de investigacion. Esto muestra la falta de prevision de los mecanismos de seguimiento, control, evaluacion y rendicion de cuentas, revelando la falta de coherencia, coordinacion y adaptabilidad de las mismas. Situacion que implica efectos negativos en la calidad, la pertinencia y la eficacia de las politicas y programas
Relationship between Emotional Intelligence and Religiosity with Dark Triad of Personality of Corruption Prisoners
Year: 2017

This study aims to determine the relationship between emotional intelligence and religiosity with dark triad of personality of corruption prisoners. The data were obtained from 62 prisoners of Corruption in Kedungpane Semarang Prison selected by quota sampling. The research instruments used are Schutte Emotional Intelligence Scale (SEIS) The New Indices of Religious Orientation Revised (NIROR) and Short Dark Triad (SD3) to measure emotional intelligence, religiosity, and dark triad of personality. The results showed: (1) a relationship between emotional intelligence and religiosity together with dark triad of personality of corruption prisoners, (2) a positive correlation between emotional intelligence and dark triad of personality of corruption prisoners, (3) a negative correlation between intrinsic religious orientation and psychopathy, (4) a positive correlation between extrinsic religious orientation and dark triad of personality of corruption prisoners, and (5) a positive correlation between quest religious orientation and dark triad of personality of corruption prisoners.
The Meaning of Traditional Graduation in Lekuk 50 Tumbi Lempur Community, Kerinci Regency, Jambi Province
Year: 2020

Artikel ini merupakan hasil penelitian yang dilakukan dengan tujuan untuk mengetahui makna dari tradisi wisuda secara adat yang masih dilaksanakan oleh masyarakat Lekuk 50 Tumbi Lempur sampai saat ini. Tradisi wisuda secara adat adalah tradisi pemberian gelar kepada putra dan putri masyarakat Lekuk 50 Tumbi Lempur yang telah memperoleh gelar sarjana baik sarjana, pascasarjana dan doktoral oleh Depati Nan Sepuluh. Tradisi ini dilakukan setiap tahun pada tanggal 2 Syawal atau bertepatan dengan Idul Fitri di Gedung Serba Guna Desa yang ditentukan. Penelitian ini menggunakan metode kualitatif deskriptif dimana data dikumpulkan dengan observasi, wawancara dan studi dokumentasi Hasi penelitian menunjukkan bahwa serangkaian proses kegiatan dilakasanakan untuk prosesi pengukuhan gelar wisudawan. Gelar sarjana Strata Satu akan dikukuhkan sebagai Cendikionegaro, Strata Dua akan diberi gelar Cendikionegaro Pertamo, dan Strata Tiga/Guru Besar akan diberi gelar Cendikionegaro Utama. Dari hasil penelitian dapat dilihat bahwa tradisi wisuda secara adat memiliki makna bagi masyarakat Lekuk 50 Tumbi Lempur diantaranya adalah sebagai wujud penghargaan yang diberikan oleh Depati nan Sepuluh agar putra dan putri Lempur bisa berbangga atas prestasi yang mereka peroleh. Selain prestasi dan gelar sarjana yang mereka peroleh melalui wisuda secara adat juga salah satu bentuk pengakuan gelar mereka di masyarakat. Gelar ini nantinya diharapkan bisa menjadi motivasi bagi putra dan putri Lekuk 50 Tumbi Lempur untuk dapat menggapai cita cita mereka dan meraih kesuksesan di masa yang akan datang.
Equity Crowdfunding and Governance: Toward an Integrative Model and Research Agenda
Venue: Academy of Management Perspectives
Year: 2021

Equity crowdfunding markets have grown exponentially over the last few years. Despite this impressive growth, significant informational asymmetry problems may plague these markets, making them susceptible to difficulties and even market failure. In this paper, we depart from current equity crowdfunding research that focuses almost exclusively on the funding success and funding dynamics on platforms to study the effective governance of equity crowdfunded (ECF) firms and how it relates to these firms' success. We propose a conceptual model that identifies a multitude of governance mechanisms (e.g. internal or external and formal or informal) that potentially operate in equity crowdfunding markets to reduce adverse selection and moral hazard problems. Further, building on this framework, we offer a roadmap for future research that examines how different governance mechanisms may help in the selection and development of successful ECF firms.
Saturation Levels by Bases and Time of Incubation in the Development and Growth of Ornamental Sunflower
Year: 2019

Floriculture is a promising segment of Brazilian agriculture. The ornamental sunflower (Helianthus annuus L. cv. Folded Sungold) also known as dwarf sunflower, in addition to being used in gardens can be marketed as cut flower or vase. The sunflower represents a great alternative for small producers because it requires little space, has easy handling and short cycle, besides providing greater economic return. In this context, we aimed to evaluate the development of this culture submitted to different levels of saturation per base, combined with the incubation time of the limestone. The experiment was carried out in a greenhouse at the Federal University of Mato Grosso University Campus of Rondonopolis. A randomized block design with factorial scheme 6 x 2 was used, with six levels of saturation per base: 0, 20% 40% 60% 80% 100% and two incubation times: 0 and 30 days, resulting in 12 treatments with four replicates, totaling 48 experimental units. Each plot consisted of a plastic polyethylene vessel with a capacity of 1.2 dm 3. The following variables were analyzed: Height of the floral stem; number of leaves, diameter of chapters; root volume; fresh mass of leaves; fresh mass of floral stems; fresh mass of chapters; fresh root mass and chlorophyll index (SPAD) Data were submitted to analysis of variance by the test F at 5% probability of error. The qualitative factors were submitted to the Tukey test and quantitative factors to the regression test, both with a 5% probability of error. Basal saturation levels of 80% and 100% in the treatment with incubated soil, provided higher quality of inflorescence for commercialization purposes.
Adolescents' Motivations to Engage in Social Distancing During the COVID 19 Pandemic: Associations With Mental and Social Health
Venue: Journal of Adolescent Health
Year: 2020

Reducing the spread of infection during the COVID 19 pandemic prompted recommendations for individuals to socially distance. Little is known about the extent to which youth are socially distancing, what motivations underlie their social distancing, and how these motivations are connected with amount of social distancing, mental health, and social health. Using a large sample of adolescents from across the US, this study examined adolescents' motivations for social distancing, their engagement in social distancing, and their mental and social health.  Data were collected March 29th and 30th 2020, two weeks after COVID 19 was declared a national emergency in the US. The sample consisted of 683 adolescents recruited using social media. A series of multiple linear regressions examined unique associations among adolescents' motivations to engage in social distancing, perceived amount of social distancing, anxiety symptoms, depressive symptoms, burdensomeness, and belongingness.  Almost all respondents (98.1% reported engaging in at least a little social distancing. The most commonly reported motivations for social distancing concerned social responsibility and not wanting others to get sick. Motivations concerning state or city lockdowns, parental rules, and social responsibility were associated with greater social distancing, whereas motivations concerning no alternatives were associated with less social distancing. Specific motivations for social distancing were differentially associated with adolescents' anxiety symptoms, depressive symptoms, burdensomeness, and belongingness.  Understanding adolescents' motivations to engage in social distancing may inform strategies to increase social distancing engagement, reduce pathogen transmission, and identify individual differences in mental and social health during the COVID 19 pandemic.
Hybrid nanostructured materials for high performance electrochemical capacitors
Year: 2013

The exciting development of advanced nanostructured materials has driven the rapid growth of research in the field of electrochemical energy storage (EES) systems which are critical to a variety of applications ranging from portable consumer electronics, hybrid electric vehicles, to large industrial scale power and energy management. Owing to their capability to deliver high power performance and extremely long cycle life, electrochemical capacitors (ECs) one of the key EES systems, have attracted increasing attention in the recent years since they can complement or even replace batteries in the energy storage field, especially when high power delivery or uptake is needed. This review article describes the most recent progress in the development of nanostructured electrode materials for EC technology, with a particular focus on hybrid nanostructured materials that combine carbon based materials with pseudocapacitive metal oxides or conducting polymers for achieving high performance ECs. This review starts with an overview of EES technologies and the comparison between various EES systems, followed by a brief description of energy storage mechanisms for different types of EC materials. This review emphasizes the exciting development of both hybrid nanomaterials and novel support structures for effective electrochemical utilization and high mass loading of active electrode materials, both of which have brought the energy density of ECs closer to that of batteries while still maintaining their characteristic high power density. Last, future research directions and the remaining challenges toward the rational design and synthesis of hybrid nanostructured electrode materials for next generation ECs are discussed.
Wavelength and dispersion tunable ultrafast holmium doped fiber laser with dual color operation.
Venue: Optics letters
Year: 2020

We present a versatile ultrafast holmium doped fiber laser with an intracavity Martinez compressor. The compressor enables continuous dispersion control, spectral filtering, and dual color operation of the laser. Mode locking is supported for net cavity dispersion values ranging from highly anomalous 1.42ps2) to net normal (0.3ps2) and wavelength tuning of the optical solitons is obtained in a 2021 2096 nm span. Dual color pulsed operation of the laser is reached by implementing a mechanical bandstop filter within the compressor. The repetition rate offset of the two emitted frequency combs can be tuned in a 3 8 kHz range by adjusting the net cavity dispersion, or by changing the beam block diameter. We show that a relatively simple fiber resonator integrated with a Martinez compressor can serve as a highly tunable laser source.
State of the Art and Prospects in Metal Organic Framework (MOF) Based and MOF Derived Nanocatalysis.
Venue: Chemical reviews
Year: 2019

Metal organic framework (MOF) nanoparticles, also called porous coordination polymers, are a major part of nanomaterials science, and their role in catalysis is becoming central. The extraordinary variability and richness of their structures afford engineering synergies between the metal nodes, functional linkers, encapsulated substrates, or nanoparticles for multiple and selective heterogeneous interactions and activations in these MOF based nanocatalysts. Pyrolysis of MOF nanoparticle composites forms highly porous N or P doped graphitized MOF derived nanomaterials that are increasingly used as efficient catalysts especially in electro and photocatalysis. This review first briefly summarizes this background of MOF nanoparticle catalysis and then comprehensively reviews the fast growing literature reported during the last years. The major parts are catalysis of organic and molecular reactions, electrocatalysis, photocatalysis, and views of prospects. Major challenges of our society are addressed using these well defined heterogeneous catalysts in the fields of synthesis, energy, and environment. In spite of the many achievements, enormous progress is still necessary to improve our understanding of the processes involved beyond the proof of concept, particularly for selective methane oxidation, hydrogen production, water splitting, CO2 reduction to methanol, nitrogen fixation, and water depollution.
Comparisons of substance abuse, high risk sexual behavior and depressive symptoms among homeless youth with and without a history of foster care placement
Venue: Contemporary nurse
Year: 2012

The purpose of this study was to compare prevalence of substance use, high risk sexual behaviors, and depression symptoms between homeless youth with and without a history of foster care placement.  Approximately 26,000 young persons exit foster care annually in the United States. Once they 'age out' of foster care, however, many young persons do not have access to comprehensive health care. They also are at risk for substance abuse, homelessness, or mental illness. Because persons with a history of foster care are at risk for negative psycho social outcomes, it is unclear if these young people might be different than homeless youth without this history.  The design is descriptive and cross sectional.  A total of 156 homeless young persons, of whom 44 had a history of foster care placement, were recruited from a drop in center that caters to homeless youth and young adults.  The sample was majority male and white; ages were 16 25. Significantly higher proportion of homeless former foster youth used methamphetamine within the last six months compared to non fostered homeless youth p 0.03) Homeless former foster youth were significantly older (p 0.02) and less educated (p 0.02) than their homeless counterparts without a history of foster care placement. Prevalence of using tobacco, marijuana, alcohol, crack cocaine, and powder cocaine were similar for both groups. Although not significant, a higher proportion of homeless former foster youth reported trading sex for money or drugs compared to non fostered, homeless youth (19% versus 12% [trading sex for money] and 26% versus 14% [trading sex for drugs] respectively.  Findings from this study show that, in general, homelessness is a negative outcome, irrespective of having a foster care history. However, those with that history need continued support when transitioning to independent living, such as access to health care, and encouragement to further their education. Relevance to clinical practice: It is important that nurses, who serve homeless youth populations, conduct a risk assessment profile, in order to ascertain a history of foster care placement, link former foster youth to social service agencies that provide risk reduction/health promotion education, and advocate for stable housing.
Learning Furniture Compatibility with Graph Neural Networks
Venue: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2020

We propose a graph neural network (GNN) approach to the problem of predicting the stylistic compatibility of a set of furniture items from images. While most existing results are based on siamese networks which evaluate pairwise compatibility between items, the proposed GNN architecture exploits relational information among groups of items. We present two GNN models, both of which comprise a deep CNN that extracts a feature representation for each image, a gated recurrent unit (GRU) network that models interactions between the furniture items in a set, and an aggregation function that calculates the compatibility score. In the first model, a generalized contrastive loss function that promotes the generation of clustered embeddings for items belonging to the same furniture set is introduced. Also, in the first model, the edge function between nodes in the GRU and the aggregation function are fixed in order to limit model complexity and allow training on smaller datasets; in the second model, the edge function and aggregation function are learned directly from the data. We demonstrate state of the art accuracy for compatibility prediction and "fill in the blank" tasks on the Bonn and Singapore furniture datasets. We further introduce a new dataset, called the Target Furniture Collections dataset, which contains over 6000 furniture items that have been hand curated by stylists to make up 1632 compatible sets. We also demonstrate superior prediction accuracy on this dataset.