nils-herrmann/clean_scirepeval huggingface dataset:
The Unintended Impact of Academic Research on Asset Returns: The CAPM Alpha
Year: 2019

I sort stocks based on realized alphas estimated from the CAPM, Carhart (1997) and Fama French Five Factor (FF5, 2015) models and find that realized alphas are negatively related with future stock returns, future alpha, and Sharpe Ratios. Thus, I construct a Betting Against Alpha (BAA) factor that buys a portfolio of low alpha stocks and sells a portfolio of high alpha stocks. Using rank estimation methods, I show that the BAA factor spans a dimension of stock returns different than Frazzini and Pedersen's (2014) Betting Against Beta (BAB) factor. Additionally, the BAA factor captures information about the cross section of stock returns missed by the CAPM, Carhart, and FF5 models. The performance of the BAA factor further improves if the low alpha portfolio is calculated from low beta stocks and the high alpha portfolio from high beta stocks. I call this factor Betting Against Alpha and Beta (BAAB) I discuss several reasons that support the existence of this counter intuitive low alpha anomaly.
A Dual Mode Adjustable High Gain Ultra Low Noise Transimpedance Amplifier for Fine Dust Detection
Venue: 2020 IEEE International Symposium on Circuits and Systems (ISCAS)
Year: 2020

This paper presents a dual mode adjustable high gain transimpedance amplifier (TIA) The TIA is designed with a high sensitivity to current bio signals for a fine dust detection system Integrated Circuit (IC) based on the operation of a photodiode module with high gain amplifications. Gain adjustment is implemented by coarse gain steps using selective loads with four different gain values and fine gain steps by 42 dBO during 16 fine steps. To improve the settling time, a capacitive compensation is applied for the last stage. An off state circuitry is proposed to avoid any off current leakage. This TIA is designed in a 0.18 mm standard CMOS technology, output reached high gains from 149 dBO up to 216 dBO with 67 dBO gain variation range, input referred noise less than 600 fA/ Hz in low frequencies and less then 27 fA/ Hz at 20 KHz, a minimum detectable current signal of 4 pA, and has a power consumption of 2.71 mW.
Cranial nerve involvement in patients with MOG antibody associated disease
Venue: Neurology: Neuroimmunology Neuroinflammation
Year: 2019

To describe clinical and radiologic features of cranial nerve (CN) involvement in patients with myelin oligodendrocyte glycoprotein antibodies (MOG IgG) and to assess the potential underlying mechanism of CN involvement using a nonhuman primate (NHP) model.  Epidemiologic, clinical, and radiologic features from a national cohort of 273 MOG IgG positive patients were retrospectively reviewed for CN involvement between January 2014 and January 2018. MOG IgG binding was evaluated in CNS, CN, and peripheral nerve tissues from NHP.  We identified 3 MOG IgG positive patients with radiologic and/or clinical CN involvement. Two patients displayed either trigeminal or vestibulocochlear nerve lesions at the root level, and the remaining patient had an oculomotor nerve involvement at the root exit and at the cisternal level. Additional CNS involvement was found in all 3 patients. None of the 3 patients' sera recognized MOG expression in CN of NHP.  Craneal nerve involvement can coexist in patients with MOG antibody disease, although the underlying pathophysiology remains elusive.
Association of Candida albicans in development of oral cavity infection with reference to oral carcinoma in North Indian population
Year: 2017

P cancer one of the most prevalent types of disease is a growing health problem around the world and is one of the leading causes of death. Oral cancer is the sixth most common cancer which occurs worldwide and continues to be the most prevalent cancer which develops in multistep process from pre existing potentially malignant lesions. The most common precancer is leukoplakia which represents 85% of such lesions and 95% of oral cancers are squamous cell carcinomas (OSCC) In India, the incidence of oral submucous fibrosis (OSMF) and OSCC is also increasing like an epidemic and vast majority of OSCC arises from pre existing leukoplakia. Several studies have reported that 1 18% of premalignant oral lesions will develop into malignant form. C. albicans has also been identified as a possible factor in development of oral leukoplakia and its malignant transformation. Candida species, dimorphic harmless eukaryotic organism are members of phylum Ascomycota. In healthy individuals, it mostly resides as a part of normal commensal microbial flora on mucosal surfaces of oral cavity. C. albicans grows as a filamentous form, capable of forming true hyphae and is one of the only Candida species. Hyphae play important roles in adhesion and invasion into epithelium. It contributes many virulence attributes like adherence to host tissue and release of some hydrolytic enzymes. It is still unclear, how an increased amount of C. albicans in oral cavity influence the progression of pre cancer to malignancy. A higher level of C. albicans is present in precancerous and OSCC patients. C. albicans is most pathogenic and significantly more successful pathogen in oral malignancy transformation. There are no drugs which can effect extremely to treat oral cancers. There is a general call for new emerging drugs that are highly effective towards cancer, possess low toxicity, and have a minor environment impact. Novel natural products offer opportunities for innovation in drug discovery. Natural compounds isolated from medicinal plants, as rich sources of novel anticancer drugs, have been of increasing interest. The alarming reports of cancer cases increase the awareness amongst the clinicians and researchers pertaining to investigate newer drug with low toxicity.
Knucklebones and Other Animal Deposits in the "Cruz del Negro" Necropolis: Possible Phoenician Funerary Rituals in SW Spain
Year: 2013

The "Cruz del Negro" necropolis in Carmona (Seville) is part of an archaeological site considered by some authors to be a Phoenician settlement. Findings from the paleobiological and taphonomic study conducted on the grave goods found in 38 funerary structures provide possible evidence to support this theory (along with other archaeological objects found there) Analysis of the animal remains found indicates three kinds of grave goods according to the animal species and anatomical parts offered, and points to a series of markers observed in other older sites located in the Mediterranean Basin which indicate the possible eastern origin of the funerary rituals practiced in "Cruz del Negro" Of the 602 remains analysed, this study highlights the presence of 307 caprine (Caprinae) knucklebones in 15 of the 38 structures studied. Most of them are thermo altered and highly polished, a practice originally found in Bronze Age sites in the Near East.
El uso de las tecnologias de informacion y comunicacion TIC en las micro, pequenas y medianas empresas (MIPyME) industriales mexicanas
Year: 2013

El objetivo de este trabajo consistio en determinar el dominio sobre el uso de las TIC en la MIPyME industrial para comprobar su posicion competitiva en este aspecto. Para este fin se recolectaron datos a traves de un trabajo de campo por sujetos voluntarios logrando entrevistar a 394 empresas. Su desarrollo se estructura en dos partes, primera: un marco teorico referido a la importancia de las TICs y su aplicacion en las MIPyMEs, segunda: se establece la metodologia, se fundamenta el analisis y conclusiones. Los principales hallazgos permiten determinar que el grado de uso de TICs por parte de las MIPyMEs industriales en Mexico es incipiente lo que estaria restandole competitividad para hacer frente a un mercado globalizado
Evolutionary learning framework: improving automatic swarm robotics design
Year: 2018

The purpose of this paper is to review the current state of proceedings in the research area of automatic swarm design and discusses possible solutions to advance swarm robotics research.,First, this paper begins by reviewing the current state of proceedings in the field of automatic swarm design to provide a basic understanding of the field. This should lead to the identification of which issues need to be resolved in order to move forward swarm robotics research. Then, some possible solutions to the challenges are discussed to identify future directions and how the proposed idea of incorporating learning mechanism could benefit swarm robotics design. Lastly, a novel evolutionary learning framework for swarms based on epigenetic function is proposed with a discussion of its merits and suggestions for future research directions.,The discussion shows that main challenge which is needed to be resolved is the presence of dynamic environment which is mainly caused by agent to agent and agent to environment interactions. A possible solution to tackle the challenge is by incorporating learning capability to the swarm to tackle dynamic environment.,This paper gives a new perspective on how to improve automatic swarm design in order to move forward swarm robotics research. Along with the discussion, this paper also proposes a novel framework to incorporate learning mechanism into evolutionary swarm using epigenetic function.
Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval
Venue: IEEE Transactions on Image Processing
Year: 2017

Sparse representation and image hashing are powerful tools for data representation and image retrieval respectively. The combinations of these two tools for scalable image retrieval, i.e. sparse hashing (SH) methods, have been proposed in recent years and the preliminary results are promising. The core of those methods is a scheme that can efficiently embed the (high dimensional) image features into a low dimensional Hamming space, while preserving the similarity between features. Existing SH methods mostly focus on finding better sparse representations of images in the hash space. We argue that the anchor set utilized in sparse representation is also crucial, which was unfortunately underestimated by the prior art. To this end, we propose a novel SH method that optimizes the integration of the anchors, such that the features can be better embedded and binarized, termed as Sparse Hashing with Optimized Anchor Embedding. The central idea is to push the anchors far from the axis while preserving their relative positions so as to generate similar hashcodes for neighboring features. We formulate this idea as an orthogonality constrained maximization problem and an efficient and novel optimization framework is systematically exploited. Extensive experiments on five benchmark image data sets demonstrate that our method outperforms several state of the art related methods.
NON TYPHOIDAL SALMONELLA SEPSIS WITH SEVERE SMALL BOWEL DIARRHOEA AND ACUTE KIDNEY INJURY IN AN IMMUNOCOMPETENT PATIENT
Year: 2020

Non typhoidal salmonella serovars mainly cause enteric infection, but it can also rarely cause invasive infections.These invasive infections are mostly seen in immunocompromised subjects. We are reporting a case of non typhoidal salmonella sepsis in a 60 year old individual. He presented with severe small bowel diarrhoea mimicking cholera. Blood cultures grew Salmonella enteritidis. He had severe acute kidney injury requiring hemodialysis. The clinical course was protracted with diarrhoea subsiding only after 12 days. He was treated with two weeks of intravenous ceftriaxone.
Le role des organisations paysannes dans la professionnalisation de l'agriculture en afrique subsaharienne le cas du Cameroun.
Year: 2012

Dans tous les continents et en particulier dans les pays d'Afrique subsaharienne, les organisations paysannes ont toujours ete au centre des politiques de developpement de l'agriculture. Nombreuses et diversifiees, les organisations paysannes du Cameroun font l'objet d'une attention particuliere de la part des pouvoirs publics qui depuis pres de quatre decennies mettent en place des programmes de developpement dont l'objectif principal est d'appuyer la professionnalisation de l'agriculture, a travers une structuration organisee du milieu rural. Le present travail de recherche analyse le role des organisations paysannes dans la professionnalisation de l'agriculture. Il aborde et clarifie les notions de professionnalisation de l'agriculture et d'organisations paysannes a travers une approche sociologique et met en evidence la logique des programmes dits de professionnalisation, de meme que les dynamiques d'organisation de producteurs agricoles qui evoluent au Cameroun. L'etude s'appuie sur des donnees d'observation des dynamiques d'organisations paysannes au Cameroun de 1994 a 2012 ainsi que du suivi des initiatives des projets d'appui aux organisations paysannes et aux filieres agricoles. Les donnees collectees portent egalement sur une enquete realisee aupres de 70 organisations paysannes dans les regions de l'Ouest, du Nord ouest, du Sud ouest, du Littoral et du Sud du Cameroun. Ces enquetes ont permis de realiser des entretiens de groupe avec environ 350 paysans issus d'organisations paysannes, et en particulier d'avoir des discussions plus approfondies avec 20 responsables d'organisations paysannes sur leur parcours et la nature de leur leadership. Sur la base des resultats obtenus, il a pu etre etabli que la professionnalisation de l'agriculture s'inscrit dans la logique des nouvelles offres d'innovation proposees par les partenaires du developpement, avec pour objectif de contribuer au developpement d'une agriculture plus performante dans les pays d'Afrique subsaharienne." Suite et fin du resume dans la these.
Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach
Venue: Complex.
Year: 2019

An increasing number of the renowned company's investors are turning attention to stock prediction in the search for new efficient ways of hypothesizing about markets through the application of behavioral finance. Accordingly, research on stock prediction is becoming a popular direction in academia and industry. In this study, the goal is to establish a model for predicting stock price movement through knowledge graph from the financial news of the renowned companies. In contrast to traditional methods of stock prediction, our approach considers the effects of event tuple characteristics on stocks on the basis of knowledge graph and deep learning. The proposed model and other feature selection models were used to perform feature extraction on the websites of Thomson Reuters and Cable News Network. Numerous experiments were conducted to derive evidence of the effectiveness of knowledge graph embedding for classification tasks in stock prediction. A comparison of the average accuracy with which the same feature combinations were extracted over six stocks indicated that the proposed method achieves better performance than that exhibited by an approach that uses only stock data, a bag of words method, and convolutional neural network. Our work highlights the usefulness of knowledge graph in implementing business activities and helping practitioners and managers make business decisions.
Improving GAN with neighbors embedding and gradient matching
Venue: AAAI
Year: 2019

We propose two new techniques for training Generative Adversarial Networks (GANs) in the unsupervised setting. Our objectives are to alleviate mode collapse in GAN and improve the quality of the generated samples. First, we propose neighbor embedding, a manifold learning based regularization to explicitly retain local structures of latent samples in the generated samples. This prevents generator from producing nearly identical data samples from different latent samples, and reduces mode collapse. We propose an inverse t SNE regularizer to achieve this. Second, we propose a new technique, gradient matching, to align the distributions of the generated samples and the real samples. As it is challenging to work with high dimensional sample distributions, we propose to align these distributions through the scalar discriminator scores. We constrain the difference between the discriminator scores of the real samples and generated ones. We further constrain the difference between the gradients of these discriminator scores. We derive these constraints from Taylor approximations of the discriminator function. We perform experiments to demonstrate that our proposed techniques are computationally simple and easy to be incorporated in existing systems. When Gradient matching and Neighbour embedding are applied together, our GN GAN achieves outstanding results on 1D/2D synthetic, CIFAR 10 and STL 10 datasets, e.g. FID score of 30.80 for the STL 10 dataset. Our code is available at: https:/github.com/tntrung/gan
The water retention properties of biochar derived from broiler poultry litter as applied to the Botswana soil
Year: 2020

Crop farming in Botswana is very modest and of high risk compared to its neighboring countries because of significant dependency on reduced and unreliable rainfall and as a result of soils with poor water holding capacity and low cation exchange capacity. For this reason, only about two thirds of the available arable land are planted and of the planted land only about half is harvested, which translates into only one third of productive arable land. This study examines how addition of poultry litter (PL) biochar affects water retention properties of Botswana's sandy soils. While many variables should be studied to fully comprehend this aspect, this paper exploits in detail, effects of biochar addition in reducing rate of water loss by evaporation. This work provides convincing evidence that addition of PL derived biochar (as little as 10% can significantly reduce water loss by evaporation, thus increasing water soil retention. It is demonstrated that water retention properties increase with increasing rate of biochar application. Two types PL derived biochar were studied: (i) one with sunflower husks bedding and another (ii) with woodchips bedding. Though both biochars showed similar response to the test, the biochar with sunflower husks was slightly superior. Biochar also indicated significant hygroscopicity, when dried and left exposed to the atmosphere, as moisture content increased with increasing humidity. Based on initial indicators, further study should be done at laboratory and field scale to determine optimum conditions of biochar application in the quest to improve food security for Botswana, as well as improve employment and environmental goals of the country. A comprehensive further study should critically examine Field Capacity, Permanent Wilting Point, and Plant Available Water. As an ultimate goal, enhancing soil moisture retention properties of Botswana's sandy soil enables to increase success rate in the traditional farming sector and, consequently, offers potential to accomplish "No Poverty" and "Zero Hunger" sustainable development goals.
The impact of powder oxygen content on formability of 12CrNi2 alloy steel fabricated by laser melting deposition
Venue: Powder Metallurgy
Year: 2019

Three various 12CrNi2 alloy steels were successfully fabricated on 35CrMo alloy steel by laser melting deposition with the aim of investigating the effect of powder oxygen content on formability of 12CrNi2 alloy steel. The phase constituents, macroscopic morphology, microstructure, and microhardness of powders and samples were studied by some modern analysis methods. The experimental results showed that with the increase of the oxygen content from 220 to 600 ppm, the sphericity and density of the powders gradually decreased which led to the appearance of pores in the as deposited samples. The phase constituent of three as deposited samples with different oxygen contents was a Fe(M) phase. The percentage porosity in the macroscopic morphology increased with the increase of the oxygen content. Meanwhile, the high oxygen content contributed to more pores and the crack formation in the microstructure. With the increase of oxygen content, the microhardness of the as deposited samples would decrease.
Factors affecting the adoption of e learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)
Year: 2017

This study examines the major factors that may hinder or enable the adoption of e learning systems by university students in developing (Qatar) as well as developed (USA) countries. To this end, we used extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with Trust as an external variable. By means of an online survey, data were collected from 833 university students from a university in Qatar and another from USA. Structural equation modelling was employed as the main method of analysis in this study. The results show that performance expectancy, hedonic motivation, habit and trust are significant predictors of behavioural intention (BI) in both samples. However, contrary to our expectation, the relationship between price value and BI is insignificant. Our results also show that effort expectancy and social influence lead to an increase in students' adoption of e learning systems in developing countries but not in developed countries. Moreover, facilitating conditions increase e learning adoption in developed countries which is not the case in developing countries. Overall, the proposed model achieves an acceptable fit and explains its variance for 68% of the Qatari sample and 63% of the USA sample. These results and their implications to both theory and practice are described.
Pengaruh Fasilitas Kerja dan Karakteristik Individu Terhadap Kinerja Karyawan pada PT. Ira Widya Utama Medan
Year: 2019

Tujuan penelitian yang ingin dicapai oleh penulis dari penelitian ini adalah untuk mengetahui apakah fasilitas kerja berpengaruh positif dan signifikan terhadap kinerja karyawan pada PT.Ira Widya Utama Medan, apakah karakteristik individu berpengaruh positif dan signifikan terhadap kinerja karyawan pada PT. Ira Widya Utama Medan, dan serta apakah fasilitas kerja dan karakteristik individu berpengaruh positif dan signifikan terhadap kinerja karyawan pada PT. Ira Widya Utama Medan. PT. Ira Widya Utama Medan bergerak di bidang Real Estate, Kontraktor dan Perkebunan. Populasi dalam penelitian ini adalah karyawan tetap dalam perusahaan berjumlah 65 orang dengan pengambilan sampel yang digunakan yaitu sebesar 65 orang. Adapun teknik analisis data yang digunakan yaitu analisis data, Uji Analisis Regresi Linier Berganda, Uji Asumsi Klasik dan Uji Hipotesis yaitu Uji T (parsial) Uji F (simultan) dan Koefisien Determinasi (R2) Berdasarkan penelitian dapat diperoleh bahwa variabel fasilitas kerja (X1) dan karakteristik individu (X2) berpengaruh terhadap variabel kinerja karyawan (Y) pada PT. Ira Widya Utama Medan, dengan hasil uji t diperoleh untuk variabel fasilitas kerja diperoleh nilai t hitung t tabel (3,659 1,670) dengan tingkat signifikan 0,000 0,05 dan untuk variabel karakteristik individu diperoleh t hitung t tabel (1,708 1,670) dengan tingkat signifikan 0,000 0,05. dapat disimpulkan bahwa faktor (fasilitas kerja dan karakteristik individu) secara parsial berpengaruh secara positif dan signifikan terhadap kinerja karyawan pada PT. Ira Widya Utama Medan dan uji F diperoleh nilai f hitung f tabel (11,685 3,14) dengan hipotesis Ho ditolak dan Ha diterima sehingga dapat disimpulkan bahwa variabel fasilitas kerja (X1) dan karakteristik individu (X2) berpengaruh secara simultan dan signifikan terhadap kinerja karyawan (Y)