nils-herrmann/clean_scirepeval huggingface dataset:
Product2Vec: Understanding Product Level Competition Using Representation Learning
Year: 2020

Studying competition and market structure at the product level instead of brand level can provide firms with insights on cannibalization and product line optimization. We introduce Product2Vec, a method based on representation learning, to study product level competition when the number of products is large. The proposed model takes shopping baskets as inputs and, for every product, generates a low dimensional vector that preserves important product information. Using these product vectors, we present several findings. First, we show that these vectors can recover analogies between product pairs. Second, we create two measures, complementarity and exchangeability, that allow us to determine whether product pairs are complements or substitutes. Third, we combine these vectors with traditional choice models to study product level competition. To accurately estimate price elasticities, we modify the representation learning algorithm to remove the influence of price from the product vectors. We show that, compared with state of the art choice models, our approach is faster and can produce more accurate demand forecasts and price elasticities. Fourth, we present two applications of Product2Vec to marketing problems: 1) analyzing intra and inter brand competition and 2) analyzing market structure. Overall, our results demonstrate that machine learning algorithms, such as representation learning, can be useful tools to augment and improve traditional marketing methods.
Advertising of Over the Counter Codeine Containing Medicines in the EU: Differences in the Regulation of Advertising Between Member States
Venue: Pharmaceutical Medicine
Year: 2018

IntroductionThe availability of over the counter (OTC) medicines containing codeine has generated worldwide debate with increased focus on its safe use. Medicine agencies across the European Union (EU) have responded to the public health concern by placing restrictions and warnings on codeine medicines sold OTC in High Street and internet pharmacies. These restrictions include direct to consumer advertising; however, there are few published studies examining conditions of advertising across member states.MethodsA review of the conditions of advertising was conducted by accessing information pertaining to each medicine's regulatory agency allowing the sale of codeine in the EU. Each agency was asked to respond to three topics: (1) level and type of restrictions placed on all forms of direct to consumer advertising of OTC medicines containing codeine; (2) labelling criteria on packaging including indication related to the risk of addiction and any other patient information specific to codeine; and (3) complaints received by the medicines agency related to direct consumer advertising of OTC medicines containing codeine. Data were collated and tabulated in Excel to demonstrate its position on OTC codeine advertising.ResultsIn the EU, 12 countries allow the sale of OTC codeine, while 16 do not. Of the 12 countries permitting its sale OTC, 4 countries prohibited direct to consumer advertising of codeine. The majority of the countries permitting advertisements did not have any additional or special restrictions or warnings for codeine containing products with the exception of the UK where advertising codeine was only permitted under certain restrictions including product endorsement and special warnings including its indication of use for a maximum of 3 days.ConclusionThere is wide disparity in advertising of OTC codeine in the EU. Safeguards for OTC codeine use are likely to continue to remain a priority in the interest of public safety.
The Effective use of Authentic Materials in the English Language Classrooms
Venue: Shanlax International Journal of Arts, Science and Humanities
Year: 2019

Due to the technological innovations, the twenty first century has witnessed tremendous changes in all walks of life. The new technology abetted the extant educational system and it gifted the contemporary educational system with a newfangled drift. As a result, there have been several innovations in the field of education and English has no exception. The concept of teaching English has drastically changed and the present generation of teachers as well as the learners depend more on the latest technology that brings a greater change in teaching and learning. In the modern world, the teachers of English have been using a variety of teaching materials in order to satisfy the needs and interests of the learners. In this process, they also go for the authentic materials in addition to the prescribed textbooks with an aim to improve the standards of the learners and to develop their learners' language skills enormously in the regular English classrooms. According to Peacock (1997) "Authentic materials are more motivating for students, even lower level students, than artificial materials" Furthermore, Briton (1991 cited in Qura, 2001) states, "Authentic materials relate more closely to learners' need, for they build a connection between the language classroom and the outside world. The teachers have to use all the available authentic materials such as newspapers, magazines, story books, movies, radio, TV ads, songs, label products, bus or train timetables, realia like phones and dolls so that the learners show more interest towards their leaning. As authentic materials play a vital role in promoting the learners' learning and creates interests among learners to learn the English language in a natural way with proper motivation, the teachers of English should use these authentic materials in their day to day teaching profession. The present paper brings to light to the effective use of authentic materials by the teachers in the English language classrooms. For this purpose, this paper initially discusses the advantages of authentic materials in the field of education. Then this paper brings out the importance of the authentic materials that are used in the English language classrooms. Later, this paper emphasizes primarily on the effective use of the authentic materials and how they assist the teachers in their teaching and also how they help the learners to learn English in a better and easier way. Finally, this paper gives some expedient hints both to the teachers and the learners of English to how improve their teaching and learning skills colossally using the authentic materials in the English classrooms.
Feature Fusion Methods for Robust Speech Emotion Recognition Based on Deep Belief Networks
Venue: ICNCC '16
Year: 2016

The speech emotion recognition accuracy of prosody feature and voice quality feature declines with the decrease of SNR (Signal to Noise Ratio) of speech signals. In this paper, we propose novel sub band spectral centroid weighted wavelet packet cepstral coefficients (W WPCC) for robust speech emotion recognition. The W WPCC feature is computed by combining the sub band energies with sub band spectral centroids via a weighting scheme to generate noise robust acoustic features. And Deep Belief Networks (DBNs) are artificial neural networks having more than one hidden layer, which are first pre trained layer by layer and then fine tuned using back propagation algorithm. The well trained deep neural networks are capable of modeling complex and non linear features of input training data and can better predict the probability distribution over classification labels. We extracted prosody feature, voice quality features and wavelet packet cepstral coefficients (WPCC) from the speech signals to combine with W WPCC and fused them by Deep Belief Networks (DBNs) Experimental results on Berlin emotional speech database show that the proposed fused feature with W WPCC is more suitable in speech emotion recognition under noisy conditions than other acoustics features and proposed DBNs feature learning structure combined with W WPCC improve emotion recognition performance over the conventional emotion recognition method.
Pengaruh Pemberian Biochar Tongkol Jagung Terhadap Beberapa Sifat Kimia Inceptisol dan Pertumbuhan Tanaman Jagung Di Padang Tujuh Kabupaten Pasaman Barat
Year: 2019

Penelitian mengenai pemanfaatan biochar tongkol jagung sebagai bahan pembenah tanah untuk memperbaiki sifat kimia tanah telah dilakukan pada lahan jagung intensif di Padang Tujuh, Kecamatan Pasaman, Kabupaten Pasaman Barat pada tahun 2017. Tujuan penelitian ini adalah untuk melihat pengaruh pemberian biochar tongkol jagung terhadap sifat kimia inceptisol dan pertumbuhan tanaman jagung. Penelitian ini dilakukan di lapangan dan menggunakan Rancangan Acak Kelompok (RAK) dengan 5 perlakuan (0; 5; 10; 15; 25 ton/ha) dan 3 kali ulangan. Hasil penelitian ini menunjukkan bahwa pemberian biochar tongkol jagung dengan takaran 25 ton/ha sudah mampu memperbaiki sifat kimia inceptisol pada lahan jagung intensif setelah inkubasi dengan pH tanah 4,83; C organik 13,34 N total 0,40 P tersedia 15,65 ppm; KTK 59,65 me/100 g dan K dd 1,11 me/100g. Pada pengamatan selanjutnya setelah panen pH tanah 5,12 C organik 12,73 N total 0,16 P tersedia 7,29 ppm; KTK 65,78 me/100 g dan K dd 1,16 me/100g. Semakin tinggi perlakuan menandakan bahwa pemberian biochar tongkol jagung mampu mempertahankan kesuburan tanah dan ketersediaan unsur hara. Pemberian biochar tongkol jagung 25 ton/ha mampu meningkatkan petumbuhan tanaman jagung pada pengamatan minggu ke 8 menunjukkan hasil 223,9 cm. Kata kunci Biochar Tongkol Jagung, Sifat Kimia Inceptisol, Tanaman Jagung
Aging, empathy, and prosociality.
Venue: The journals of gerontology. Series B, Psychological sciences and social sciences
Year: 2015

Although empathy is a well established motivation in younger adults for helping others, it is not known whether this extends to aging. Prioritization of socioemotional goals with age may increase the salience of helping others (i.e. prosocial behavior) but older adults also experience decreased cognitive empathy. Thus, we investigated age related differences in relationships among empathy and prosocial behavior.  Participants were 24 younger (M 19.8 years) and 24 older (M 77.9 years) healthy adults. Whereas participants believed the study involved playing the dictator game, in reality, state emotional empathy was induced implicitly through a note from an opponent describing their experience with cancer. Prosocial behavior was measured by participants' monetary offers to that opponent.  Older adults showed greater prosocial behavior due to the empathy induction than younger adults. There was a positive association between state emotional empathy ratings and prosocial behavior in older, but not in younger adults, and preliminary evidence for higher state emotional empathy levels in older adults with higher trait cognitive empathy.  This suggests that in contexts relevant to socioemotional goals, older adults may be more motivated than younger adults to help others and state emotional empathy may be a potential mechanism for greater prosocial behavior in aging.
Graph based Aspect Representation Learning for Entity Resolution
Venue: TEXTGRAPHS
Year: 2020

Entity Resolution (ER) identifies records that refer to the same real world entity. Deep learning approaches improved the generalization ability of entity matching models, but hardly overcame the impact of noisy or incomplete data sources. In real scenes, an entity usually consists of multiple semantic facets, called aspects. In this paper, we focus on entity augmentation, namely retrieving the values of missing aspects. The relationship between aspects is naturally suitable to be represented by a knowledge graph, where entity augmentation can be modeled as a link prediction problem. Our paper proposes a novel graph based approach to solve entity augmentation. Specifically, we apply a dedicated random walk algorithm, which uses node types to limit the traversal length, and encodes graph structure into low dimensional embeddings. Thus, the missing aspects could be retrieved by a link prediction model. Furthermore, the augmented aspects with fixed orders are served as the input of a deep Siamese BiLSTM network for entity matching. We compared our method with state of the art methods through extensive experiments on downstream ER tasks. According to the experiment results, our model outperforms other methods on evaluation metrics (accuracy, precision, recall, and f1 score) to a large extent, which demonstrates the effectiveness of our method.
Intimate partner violence.
Venue: HRSA careaction
Year: 2009

The phrase intimate partner violence encompasses a pattern of psychological and emotional abuse, physical abuse, sexual abuse, and stalking between past or present intimate romantic partners. Scientific and clinical evidence indicates that intimate partner violence can result in a plethora of mental health and physical maladies due to ongoing patterns of abuse within relationships, and those most at risk of victimization are women and their children. This entry reviews the incidence and definition of intimate partner violence, the risk factors, and the effects of violence on both victims and perpetrators. Interventions for such abuse now cut across multiple public and private sectors (criminal/civil justice systems, the health care system, child services, battered women's shelters, etc. and mental health professionals must know how to negotiate such systems in order to help victims and their children. Various prevention and intervention strategies are described below. Finally, current issues concerning intimate partner violence include the controversies surrounding batterer treatment, the unintended consequences of contemporary changes in the law (e.g. mandatory/preferred arrest) and the recent increase in effective yet damaging manipulation of criminal, civil, and family court processes by batterers.
The provocation of Gaia: learning to pay attention in Rotary Park
Year: 2017

How do we learn with the environments we inhabit to promote mutual flourishing? This paper argues that environmental arts practice is a key component in the pedagogical process of getting to know where we live and, through a more than human intersubjective exchange, enriching our response ability to the environment. To think through and work towards this pedagogy we explore a small patch of Gaia the Rotary Park Rainforest Reserve in Lismore, New South Wales via a photography and video project that contemplates didactic and interpretive signs along a short walking circuit. Crucial to our contemplation of this environmental arts project are concepts for action that we develop by putting into conversation ideas from the environmental humanities and early childhood education: progettazione, time to learn, provocation and attention. Through aesthetic immersion in, and in dialogue with the forest, these concepts help us conceptualise a regenerative curriculum and relational pedagogy that energise, amongst other things, environmental arts in the making.
Analysis of Text Feature Extractors using Deep Learning on Fake News
Year: 2021

Social media and easy internet access have allowed the instant sharing of news, ideas, and information on a global scale. However, rapid spread and instant access to information/news can also enable rumors or fake news to spread very easily and rapidly. In order to monitor and minimize the spread of fake news in the digital community, fake news detection using Natural Language Processing (NLP) has attracted significant attention. In NLP, different text feature extractors and word embeddings are used to process the text data. The aim of this paper is to analyze the performance of a fake news detection model based on neural networks using 3 feature extractors: TD IDF vectorizer, Glove embeddings, and BERT embeddings. For the evaluation, multiple metrics, namely accuracy, precision, F1, recall, AUC ROC, and AUC PR were computed for each feature extractor. All the transformation techniques were fed to the deep learning model. It was found that BERT embeddings for text transformation delivered the best performance. TD IDF has been performed far better than Glove and competed the BERT as well at some stages. Keywords fake news; natural language processing; feature extractors; deep learning
Addressing variability in iPSC derived models of human disease: guidelines to promote reproducibility
Venue: Disease Models Mechanisms
Year: 2020

Induced pluripotent stem cell (iPSC) technologies have provided in vitro models of inaccessible human cell types, yielding new insights into disease mechanisms especially for neurological disorders. However, without due consideration, the thousands of new human iPSC lines generated in the past decade will inevitably affect the reproducibility of iPSC based experiments. Differences between donor individuals, genetic stability and experimental variability contribute to iPSC model variation by impacting differentiation potency, cellular heterogeneity, morphology, and transcript and protein abundance. Such effects will confound reproducible disease modelling in the absence of appropriate strategies. In this Review, we explore the causes and effects of iPSC heterogeneity, and propose approaches to detect and account for experimental variation between studies, or even exploit it for deeper biological insight.  This Review discusses approaches to deal with and reduce cellular heterogeneity in induced pluripotent stem cell based studies, enabling experiments to be reproducible and meaningful.
Strategi Dan Manajemen Bisnis Minyak Wangi Abdullah Parfum Kota Banjarbaru
Year: 2020

Parfum merupakan salah satu usaha dibidang penjualan parfum yang saat ini berkembang pesat terbukti dengan adanya 6 counter yang berada didaerah martapura dan banjarbaru. Penelitian ini bertujuan untuk mendeskripsikan strategi dan manajemen bisnis Abdullah Parfum. Penelitian ini dilakukan dengan metode kualitatif. Teknik pengumpulan data dalam penelitian ini yaitu dengan teknik wawancara yang dilakukan kepada beberapa orang informan dari pihak owner dan rekan kerja. Hasil penelitian menunjukkan bahwa strategi bisnis owner Abdullah Parfum berupa pemilihan rekan kerja yang baik, mengikutsertakan rekan kerja dalam seminar bisnis, briefing setiap bulan, memberikan reward berupa bonus liburan dan juga strategi bisnis dari kepala counter Abdullah Parfum berupa pelayanan yang baik, berinovasi dalam melakukan strategi penjualan,dekorasi yang bagus dan penampilan yang sopan dan inisiatif dalam menawarkan produk produk sedangkan manajemen bisnis Abdullah Parfum berupa Planning proses mengatur tugas, wewenang dan tanggung jawab setiap individu dalam manajemen, Organizing tetap memegang asas kekeluargaan di dalamnya, Actuating berkenaan dengan fungsi manajer untuk menjalankan tindakan dan melaksanakan pekerjaan yang diperlukan untuk mencapai tujuan yang ingin dicapai oleh organisasi dan Controlling mengawasi rekan kerja ketoko toko. Dapat disimpulkan Abdullah Parfum menerapkan strategi dan manajemen bisnis yang baik serta relegius didalam pelaksanaannya.
Network Traffic Anomaly Detection Using Shallow Packet Inspection and Parallel K means Data Clustering
Year: 2017

IT infrastructures around the world are targeted by malicious entities that want to steal data or compromise services. Protection measures for complex computer networks are expensive to deploy and maintain, and often do not offer protection against zero day exploits. In depth analysis of incoming and outgoing traffic can be problematic from legal and technical perspectives. The current work explores the possibility of implementing reliable security measures using machine learning algorithms to perform traffic classification. The new framework is mapped on existing parallel hardware and aims to provide a versatile solution for the detection of anomalous behaviour in network traffic through k means clustering and without performing deep packet inspection. Trace analysis metadata is obtained by exploiting the features available in the pcapng file format. K means clustering is implemented using multiple parallel APIs and a comparative analysis is presented together with performance considerations.
Health Status of Employees: Defining Influences on Health in the Tertiary Education Industry
Year: 2006

The health status of employees at an Australian university was assessed in order to target subsequent workplace health interventions.  A cross sectional survey of all university employees (academic and general) was undertaken using the Short Form 36 (SF 36) in combination with a sociodemographic questionnaire. This was complemented by interviews with 40 university employees, stratified by level of employment.  The University of New England, New South Wales. A university setting was chosen because previous studies had identified that 50% of employees in the tertiary education industry in Australia were at risk of mental health problems due to stress and workplace pressure compared with 19% of the general population.  A response rate of 49% was achieved (514/1047) The total study population attained significantly lower (poorer) mental health status scores than those of the Australian employed persons' sub group norm. Academic staff reported significantly better physical health than general staff. Grade of employment, age, domestic living arrangements, health service utilisation and smoking were factors associated with variation in health status.  The comparatively poor mental health status of Australian university employees combined with variation in health status based on sociodemographic measures poses a public health challenge for those concerned with maintaining and promoting the health of the tertiary education workforce. This study provides a basis for the development and evaluation of appropriate mental health promotion programs at the University of New England and raises questions for further research to explore the need for similar programs in other universities and public sector organisations.
Evaluation of Heavy Metal Accumulation in Sawa Lake Sediments, Southern Iraq using Magnetic Study
Year: 2019

Heavy metal contamination comprises a great concern in the environment. A magnetic study combined with heavy metal analyses was performed in the Sawa Lake in Al Muthanna governorate (southern Iraq) Concentrations of selected heavy metals (Cr, Fe, Ni, As and Pb) have been measured and magnetic susceptibility (kh) of sediment samples collected from the lake bottom was calculated. The results confirmed that a cement plant, which is located less than two kilometers away from the lake has no contamination levels on the lake's sediments. No enhancement in the magnetic susceptibility was observed. X ray florescence (XRF) was performed for heavy metal analyses. Spatial variations of kh with the mean value of 4.58 x 10 8 m 3 kg 1 and results of other magnetic parameters suggest the magnetic carriers are a predominantly hard magnetic phase like hematite and the existence of small super paramagnetic proportions. XRF analyses show average concentrations of (Cr, Fe, Ni) and very low for (As, Pb) which is typical for relatively clean areas. Magnetic susceptibility was insignificantly correlated with heavy metals due to low concentrations of both magnetic signals and heavy metal contents. This study has shed some light on the importance of applying the kh measurements techniques to monitor and assess lakes sediment pollution.