nils-herrmann/clean_scirepeval huggingface dataset:
The State and Internal Security Management in Nigeria
Year: 2019

The essence of the state as acknowledged by many authorities is the provision of security and welfare for the citizens. It is, therefore, a fundamental responsibility of every state to ensure the safety of its citizens and others living within its territorial jurisdiction. In this regard, the incidence and character of insecurity in Nigeria has continued to raise serious doubts about the commitment and capability of the Nigerian state to provide adequate security for her citizens. The primary concern of this chapter is to lay the theoretical foundations for the empirical issues raised by the different chapters in this book. Though our main interest lies in the theoretical discourses about the state and the provision and maintenance of security, the chapter is particularly interested in understanding the experience of the Nigerian state. In this regard, the central argument of this chapter is that the dysfunctionality of Nigeria's federal system, which is a product of the post colonial character of the Nigerian state, has resulted in the politicisation of security structures and governance processes involved in security management. This, in turn, has negatively aggravated and sustained internal security in the country.
EFFECTS OF GLOBALIZATION AND CORRUPTION ON THE OUTWARD FDI IN OECD COUNTRIES
Year: 2017

The paper investigates impacts of globalization an d corruption free on the outward foreign direct investment (FDI) for 22 OECD co untries. The baseline model confirms the positive link of home and host country gross domestic product (GDP) per capita and Linder's hypothesis, home and host s ize of GDP and its similarity, host agglomeration of multinational enterprises, common currency euro, and the negative link with geographical distance. The results for th e effects of globalization and corruption free on the outward FDI are mixed. The sign if cant positive association pertained to home and host country economic globali zation is confirmed, but the significant negative association pertained to home and host county social globalization. The significant positive association of out ward FDI with the corruption free in host country and the significant negative associ ation with the corruption free in home country and for corruption similarity suggest FDI outflows from low corruption free home country to high corruption free host country. This finding implies FDI preference for corruption free economically glo balized OECD host countries.
UnrealROX: an extremely photorealistic virtual reality environment for robotics simulations and synthetic data generation
Venue: Virtual Reality
Year: 2019

Data driven algorithms have surpassed traditional techniques in almost every aspect in robotic vision problems. Such algorithms need vast amounts of quality data to be able to work properly after their training process. Gathering and annotating that sheer amount of data in the real world is a time consuming and error prone task. These problems limit scale and quality. Synthetic data generation has become increasingly popular since it is faster to generate and automatic to annotate. However, most of the current datasets and environments lack realism, interactions, and details from the real world. UnrealROX is an environment built over Unreal Engine 4 which aims to reduce that reality gap by leveraging hyperrealistic indoor scenes that are explored by robot agents which also interact with objects in a visually realistic manner in that simulated world. Photorealistic scenes and robots are rendered by Unreal Engine into a virtual reality headset which captures gaze so that a human operator can move the robot and use controllers for the robotic hands; scene information is dumped on a per frame basis so that it can be reproduced offline to generate raw data and ground truth annotations. This virtual reality environment enables robotic vision researchers to generate realistic and visually plausible data with full ground truth for a wide variety of problems such as class and instance semantic segmentation, object detection, depth estimation, visual grasping, and navigation.
Using artificial neural networks to determine the location of wind farms. Miedzna district case study
Year: 2016

The article concerns issues pertaining to of selecting suitable areas for wind farms. The basic assumption of the study was to take into account both criteria related to the profitability of this type of power plant, as well as public interest, which means the harmonious and not burdensome functioning of these installations for local communities. The problem of wind farm localization may be solved by the application of artificial neural networks (ANN) which are a computational intelligence element. In the conducted analysis, the possibility of wind farm localization was considered for the primary grid field with dimensions of 100 by 100 m. To prepare the training set, topographic vector data from the VMap L2 and SRTM (Shuttle Radar Topography Mission) digital terrain model were used. For each 100 meter x 100 meter grid, the input data was prepared, consisting of the factors which are important from the point of view of wind farm localization (forests, rivers, built up areas etc. Studies show that a properly trained neural network (using a representative number of samples and for the appropriate architecture) allows to process automation area classification in terms of placement on the wind turbines.
Finger printing on the web
Venue: 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)
Year: 2017

Nowadays, companies such as Google  and Facebook  are present on most websites either through advertising services or through social plugins. They follow users around the web collecting information to create unique user profiles. This serious threat to privacy is a major cause for concern, as this reveals that there are no restrictions on the type of information that can be collected, the duration it can be stored, the people who can access it and the purpose of use or misuse. In order to determine if there indeed is any statistically significant evidence that fingerprinting occurs on certain web services, we integrated 2 software namely, FPBlock [6] a prototype browser extension that blocks web based device fingerprinting, and AdFisher  an automated tool that sending out thousands of automated Web browser instances, in such a manner so that the data collected by FP Block could be fed to AdFisher for analysis.
KEIDS: Kubernetes Based Energy and Interference Driven Scheduler for Industrial IoT in Edge Cloud Ecosystem
Venue: IEEE Internet of Things Journal
Year: 2020

With the rapid explosion of Industrial Internet of Things (IIoT) the need for real time data processing with enhanced flexibility and scalability has increased manifold. However, the newly evolved containerization technology offers lucrative advantages in comparison to the conventional virtual machines. However, management of these light weight containers is a tedious task, but Google Kubernetes offers a consolidated container management and scheduling for successful execution of various lightweight containers. Nevertheless, the existing Kubernetes solutions fall short in efficiently handling the "interference" and "energy minimization" challenges in IIoT set up. Hence, in this article, we present a competent controller, named Kubernetes based energy and interference driven scheduler (KEIDS) for container management on edge cloud nodes taking into account the emission of carbon footprints, interference, and energy consumption. The problem of task scheduling has been formulated using integer linear programming based on multiobjective optimization problem. In detail, KEIDS minimizes the energy utilization of edge cloud nodes in IIoT for optimal green energy utilization. Henceforth, the applications are scheduled on the available nodes in less time with minimum interference from other applications, which in turn guarantees an optimal performance to the end users. An extensive evaluation of the proposed KEIDS scheduler in comparison to the existing state of the art schemes indicates its superior performance on real time data acquired from Google compute cluster.
Roll to Roll Fabrication of Solution Processed Electronics
Year: 2018

The production of electronic devices using solution based "wet" deposition technologies has some decisive technical and commercial advantages compared to competing approaches like vacuum based "dry" manufacturing. Particularly, the potential to scale up production processes to large areas and high volumes by introducing continuous roll to roll (R2R) methods on flexible substrates has been the topic of intense studies from both applied research institutes and industry already for some years. Decisive steps forward have been achieved during that time, resulting in the dawn of commercial applications for a number of processes, while additional development work is still needed in some other fields. This review summarizes the work published during the last few years on the R2R printing and wet coating of electronic devices. An overview is presented of the basic operational principles for the most commonly used R2R printing and coating methods and techniques for proper web handling in R2R lines. Then, the most commonly used types of flexible substrate materials are introduced, followed by a review of the work published in the application areas of transparent conductor materials, printed electric connections, light emitting devices, photovoltaic energy generation, printed logic, and sensing.
An Empirical Study of Strategic Positioning and Production Efficiency
Venue: Adv. Oper. Res.
Year: 2015

We examine the relationship between strategic positioning of firms and their production efficiency. Firms with competitive advantages based on either cost leadership or differentiation are able to outperform their competitors. Firms pursuing a cost leadership strategy seek to be the lowest cost producer, primarily by minimizing inputs for a given level of output, thus concentrating on increasing the efficiency of their production processes. On the other hand, firms that pursue a differentiation strategy rely on innovation, brand development, marketing, and so forth to achieve competitive advantages; therefore such firms do not place high emphasis on production efficiency. Thus the importance of production efficiency for the success of a firm depends on the strategic positioning of the firm. We apply DEA to an archival data for a large sample of publicly listed firms to investigate the importance of production efficiency for firms based on their strategic positioning. We provide empirical evidence that firms pursuing a cost leadership strategy attribute higher importance to production efficiency, while firms pursuing differentiation strategy attribute less importance to production efficiency.
Composite ceramics thermal barrier coatings of yttria stabilized zirconia for aero engines
Year: 2019

Composite ceramics thermal barrier coatings (TBCs) are widely used in the aero engines field due to their excellent thermal insulation, which improves the service life and durability of the inherent hot components. The most typical, successful and widely used TBCs material is yttria stabilized zirconia (YSZ) In this paper, fabrication methods, coating structures, materials, failure mechanism and major challenges of YSZ TBCs are introduced and reviewed. The research tendency is put forward as well. This review provides a good understanding of the YSZ TBCs and inspires researchers to discover versatile ideas to improve the TBCs systems.
MinIE: Minimizing Facts in Open Information Extraction
Venue: EMNLP
Year: 2017

The goal of Open Information Extraction (OIE) is to extract surface relations and their arguments from natural language text in an unsupervised, domain independent manner. In this paper, we propose MinIE, an OIE system that aims to provide useful, compact extractions with high precision and recall. MinIE approaches these goals by (1) representing information about polarity, modality, attribution, and quantities with semantic annotations instead of in the actual extraction, and (2) identifying and removing parts that are considered overly specific. We conducted an experimental study with several real world datasets and found that MinIE achieves competitive or higher precision and recall than most prior systems, while at the same time producing shorter, semantically enriched extractions.
Somatic maturation and the relationship between bone mineral variables and types of sports among adolescents: cross sectional study.
Venue: Sao Paulo medical journal Revista paulista de medicina
Year: 2017

Peak height velocity (PHV) is an important maturational event during adolescence that affects skeleton size. The objective here was to compare bone variables in adolescents who practiced different types of sports, and to identify whether differences in bone variables attributed to sports practice were dependent on somatic maturation status.  Cross sectional study, Sao Paulo State University (UNESP)  The study was composed of 93 adolescents (12 to 16.5 years old) divided into three groups: no sport group (n 42) soccer/basketball group (n 26) and swimming group (n 25) Bone mineral density and content were measured using dual energy x ray absorptiometry and somatic maturation was estimated through using peak height velocity. Data on training load were provided by the coaches.  Adolescents whose PHV occurred at an older age presented higher bone mineral density in their upper limbs (P 0.018) After adjustments for confounders, such as somatic maturation, the swimmers presented lower values for bone mineral density in their lower limbs, spine and whole body. Only the bone mineral density in the upper limbs was similar between the groups. There was a negative relationship between whole body bone mineral content and the weekly training hours (b: 1563.967; 95% confidence interval, CI: 2916.484 to  The differences in bone variables attributed to sport practice occurred independently of maturation, while high training load in situations of hypogravity seemed to be related to lower bone mass in swimmers.
Finite time synchronization of stochastic complex networks with random coupling delay via quantized aperiodically intermittent control
Venue: Neurocomputing
Year: 2021

This paper studies the finite time synchronization issue of stochastic complex networks (SCNs) with random coupling delay and nonlinear coupling function. Internal delay, perturbation delay are also considered into this model. Meanwhile, a quantized aperiodically intermittent control strategy is proposed to realize finite time synchronization of SCNs. By means of Lyapunov stability theory and graph theory, two types of sufficient conditions are derived to ensure finite time synchronization of SCNs. The obtained results are closely related to the maximum proportion of rest width and the topological structure of considered networks. Moreover, the theoretical results is applied to study finite time synchronization of stochastic coupled oscillators. Finally, a numerical example is presented to demonstrate the effectiveness and feasibility of the obtained results.
Medication treatment of singultus in palliative care.
Venue: Casopis lekaru ceskych
Year: 2019

Singultus (hiccup) is caused by periodic involuntary spastic contractions of the respiratory muscles followed by a sharp inspiration and early glottis closure. This results in typical "hic" sound. Brief episodes of hiccups are quite common experience in general population, and they do not indicate serious disease nor require medical treatment. If chronic, they pose a significant problem with plethora of negative consequences on patient condition, particularly in palliative care. Treatment options involve many approaches both nonmedication and medication options. However, there are no large controlled trials resulting in unambiguous recommendations. Current pharmacologic treatment strategies are therefore only based on small studies and case reports and they report more or less successful outcomes using medications with different mechanisms of action.
The effect of loan portfolio diversification on banks' risks and return: Evidence from an emerging market
Year: 2017

The purpose of this paper is to test whether diversification of credit portfolios across economic sectors leads to improved profitability and reduced credit risks for Ghanaian banks that have been characterized by high non performing loans in recent times (IMF, 2011)  Static and dynamic estimations, namely Prais Winsten, fixed and random effect estimators, feasible generalized least squares as well as the system generalized methods of moments are employed on the annual data of 30 Ghanaian banks that operated between 2007 and 2014 to determine the effect of loan portfolio diversification on bank performance.  The study shows that loan portfolio diversification does not improve banks' profitability nor does it reduce banks' credit risks.  The study focuses on a single banking system in Africa largely as a result of data limitation.  The study emphasizes the need for banks to perform a careful assessment of the effects of their lending policies geared toward increased sectoral diversification on their monitoring efficiency and effectiveness. A further investment in loan screening and monitoring is necessary to minimize credit risks.  This study is the first to present empirical evidence on the effects of loan portfolio diversification on bank performance in an emerging banking market in Africa.
Effect of exposure to palm oil mill effluent on reproductive impairment of male Nile Tilapia (Oreochromis niloticus, Linnaeus 1758)
Year: 2020

One of the negative impacts arising from the existence of palm oil mill industries is the increase of pollution from Palm Oil Mill Effluent (POME) particularly for the aquatic environment. This study was conducted to investigate the reproductive impairment of male Nile tilapia (Oreochromis niloticus Linnaeus 1758) after exposed to POME. An experiment of a chronic test was carried out using a completely randomized design consisting four treatments with five replication: control (0 mg/L POME) treatment A (1.565 mg/L POME) treatment B (2.347 mg/L POME) and treatment C (3.130 mg/L POME) The exposure of POME was performed for 45 days. Reproductive hormone concentration, gonadosomatic index and spermatocrite value in each treatment statistically analyzed by using one way analysis of variance (ANOVA) Results showed that the POME exposure had no significant impact on estradiol and testosterone concentrations (p>0.05) but, it triggered a decline in the progesterone concentration (p <0.05) In conclusion, exposure to POME induced reproductive impairment in male Nile Tilapia.
Participacion ciudadana en el Ramo 33
Year: 2019

Los recursos transferidos a las entidades federativas y municipios a traves de los fondos del Ramo 33 representan una fuente primordial de ingresos de los diferentes niveles de gobierno. Sin embargo, ni el Gobierno Federal, ni los gobiernos de los Estados se han puesto de acuerdo en la tarea de elaborar una normatividad completa y precisa para la correcta y adecuada operacion del Fondo para la Infraestructura Social Municipal, lo que evidentemente provoca graves problemas en la ejecucion de las obras y propicia divergencias entre Gobiernos Estatales y Municipales en la interpretacion de la Ley; pero, sobre todo, dificulta el cumplimiento de los objetivos para los cuales fueron creados los fondos, disminuyendo el impacto que se busca en el abatimiento de la pobreza extrema y desalentando incluso, la realizacion de proyectos y obras de escala regional sustantiva para el desarrollo integral del pais. En consecuencia, no se trata solamente de un asunto de finanzas publicas estatales o municipales, sino de un aspecto eminentemente social y politico donde la participacion ciudadana adquiere y se convierte en una necesidad primordial. Una normatividad completa y precisa en las 32 entidades federativas y de aplicacion en la totalidad de los municipios de Mexico, permitiria elevar la calidad de vida de los ciudadanos desde la perspectiva del mejoramiento de las condiciones de la infraestructura social en cada uno de los barrios, colonias y comunidades a lo largo y ancho del territorio nacional.
Ethylene Response Factors: A Key Regulatory Hub in Hormone and Stress Signaling1
Venue: Plant Physiology
Year: 2015

Ethylene Response Factors are transcription factors that act as a key regulatory hub in plant response to abiotic stresses, integrating ethylene, ABA, jasmonate, and redox signaling. Ethylene is essential for many developmental processes and a key mediator of biotic and abiotic stress responses in plants. The ethylene signaling and response pathway includes Ethylene Response Factors (ERFs) which belong to the transcription factor family APETALA2/ERF. It is well known that ERFs regulate molecular response to pathogen attack by binding to sequences containing AGCCGCC motifs (the GCC box) a cis acting element. However, recent studies suggest that several ERFs also bind to dehydration responsive elements and act as a key regulatory hub in plant responses to abiotic stresses. Here, we review some of the recent advances in our understanding of the ethylene signaling and response pathway, with emphasis on ERFs and their role in hormone cross talk and redox signaling under abiotic stresses. We conclude that ERFs act as a key regulatory hub, integrating ethylene, abscisic acid, jasmonate, and redox signaling in the plant response to a number of abiotic stresses.
Label Embedding for Attribute Based Classification
Venue: 2013 IEEE Conference on Computer Vision and Pattern Recognition
Year: 2013

Attributes are an intermediate representation, which enables parameter sharing between classes, a must when training data is scarce. We propose to view attribute based image classification as a label embedding problem: each class is embedded in the space of attribute vectors. We introduce a function which measures the compatibility between an image and a label embedding. The parameters of this function are learned on a training set of labeled samples to ensure that, given an image, the correct classes rank higher than the incorrect ones.  The label embedding framework offers other advantages such as the ability to leverage alternative sources of information in addition to attributes (e.g. class hierarchies) or to transition smoothly from zero shot learning to learning with large quantities of data.
Catnip essential oil: There is more to it than making your cat go crazy
Year: 2016

Catnip (Nepeta cataria) essential oil shows a wide range of biological activities, not only cat stimulation, but also relaxant, antispasmodic, insect repellent, and allelopathic activities. The essential oil is generally dominated by nepetalactone isomers, but the compositions have shown wide variation depending on phenological cycle and geographical location. Numerous other Nepeta species are known and many of those have been characterized in terms of essential oil compositions and biological activities. This review presents an overview of the volatile phytochemistry of catnip (Nepeta cataria) its biological activities, and a survey of recent reports on Nepeta essential oils.