nils-herrmann/clean_scirepeval huggingface dataset:
Circadian disruption promotes tumor growth by anabolic host metabolism; experimental evidence in a rat model
Venue: BMC Cancer
Year: 2017

BackgroundLight at night creates a conflicting signal to the biological clock and disrupts circadian physiology. In rodents, light at night increases the risk to develop mood disorders, overweight, disrupted energy metabolism, immune dysfunction and cancer. We hypothesized that constant light (LL) in rats may facilitate tumor growth via disrupted metabolism and increased inflammatory response in the host, inducing a propitious microenvironment for tumor cells.MethodsMale Wistar rats were exposed to LL or a regular light dark cycle (LD) for 5 weeks. Body weight gain, food consumption, triglycerides and glucose blood levels were evaluated; a glucose tolerance test was also performed. Inflammation and sickness behavior were evaluated after the administration of intravenous lipopolysaccharide. Tumors were induced by subcutaneous inoculation of glioma cells (C6) In tumor bearing rats, the metabolic state and immune cells infiltration to the tumor was investigated by using immunohistochemistry and flow cytometry. The mRNA expression of genes involved metabolic, growth, angiogenes and inflammatory pathways was measured in the tumor microenvironment by qPCR. Tumor growth was also evaluated in animals fed with a high sugar diet.ResultsWe found that LL induced overweight, high plasma triglycerides and glucose levels as well as reduced glucose clearance. In response to an LPS challenge, LL rats responded with higher pro inflammatory cytokines and exacerbated sickness behavior. Tumor cell inoculation resulted in increased tumor volume in LL as compared with LD rats, associated with high blood glucose levels and decreased triglycerides levels in the host. More macrophages were recruited in the LL tumor and the microenvironment was characterized by upregulation of genes involved in lipogenesis (Acaca, Fasn, and Pparg) glucose uptake (Glut 1) and tumor growth (Vegfa, Myc, Ir) suggesting that LL tumors rely on these processes in order to support their enhanced growth. Genes related with the inflammatory state in the tumor microenvironment were not different between LL and LD conditions. In rats fed a high caloric diet tumor growth was similar to LL conditions.ConclusionsData indicates that circadian disruption by LL provides a favorable condition for tumor growth by promoting an anabolic metabolism in the host.
Flower yield and chemical composition of essential oil from Rosa damascena under foliar application of Ca(NO3)2 and seasonal variation
Venue: Acta Physiologiae Plantarum
Year: 2020

Rosa damascena is an important essential oil bearing industrial crop. Rose essential oil is extremely precious natural ingredient in aromatic, cosmetic, food, and pharmaceutical industries. However, ecology and plant nutrition play major roles in flower yield and composition of oil. The main objective was to understand the effects of seasonal variation and foliar application of Ca(NO3)2 on R. damascena under the western Himalayan conditions. Thus, a field experiment was conducted with 12 treatment combinations involving two cropping seasons (2012 2013 and 2013 2014) and six levels of Ca(NO3)2 (water spray as control, Ca(NO3)2 at 2.5, 5.0, 7.5, 10.0 and 12.5 g L 1 of water) The first cropping season produced significantly higher flower yield (1044.55 g bush 1) than the second cropping season (699.89 g bush 1) Irrespective of the cropping seasons, the foliar application of Ca(NO3)2 at 10.0 g L 1 registered significantly higher flower yield (993.56 g bush 1) compared with the controlled treatment, but remained statistically at par with 7.5 and 12.5 g L 1. Although the essential oil content in flower was not affected by both the factors, the variations were observed in chemical compositions of essential oil. Analysed data revealed that the effect of seasonal variation on compositions of essential oil was more pronounced compared to the application of Ca(NO3)2. The PCA biplots also indicated the highly positive correlations among the major hydrocarbons. Despite the significant effects of seasonal variation on the accumulations of total N and P in leaves, insignificant results were found for K and Chl. The results suggest that flower yield and compositions of oil are governed by the environmental conditions; moreover, the higher flower yield can be obtained through the foliar application of Ca(NO3)2 under rainfed conditions.
A simple approach to synthesize nanosized sulfur/graphene oxide materials for high performance lithium/sulfur batteries
Venue: Ionics
Year: 2014

We report on a simple and facile synthesis route for the sulfur/graphene oxide composite via ultrasonic mixing of the nano sulfur and graphene oxide aqueous suspensions followed by a low temperature heat treatment. High resolution transmission and scanning electronic microscopy observations revealed the formation of a highly porous structure consisting of sulfur with uniform graphene oxide coating on its surface. The resulting sulfur/graphene oxide (S/GO) composite exhibited high and stable specific discharge capacities of 591 mAh g 1 after 100 cycles at 0.1 C and good rate capability. This enhanced electrochemical performance could be attributed to the effective confining the polysulfides dissolution and accommodation of the volume changes during the Li S electrochemical reaction by the functional groups on the graphene oxide coating layer. Furthermore, the highly developed porous structure of S/GO composite favors the enhanced ion transport and electrolyte diffusion.
Device to device communications with Wi Fi Direct: overview and experimentation
Venue: IEEE Wireless Communications
Year: 2013

Wi Fi Direct is a new technology defined by the Wi Fi Alliance aimed at enhancing direct device to device communications in Wi Fi. Thus, given the wide base of devices with Wi Fi capabilities, and the fact that it can be entirely implemented in software over traditional Wi Fi radios, this technology is expected to have a significant impact. In this article we provide a thorough overview of the novel functionalities defined in Wi Fi Direct, and present an experimental evaluation that portrays the performance to be expected in real scenarios. In particular, our results quantify the delays to be expected in practice when Wi Fi Direct devices discover each other and establish a connection, and the performance of its novel power saving protocols. To the best of the authors? knowledge this is the first article in the state of the art that provides a wide overview and experimental evaluation of Wi Fi Direct.
State Withdrawal Notifications from the Rome Statute of the International Criminal Court: South Africa, Burundi and the Gambia
Year: 2017

In 2016 three African states namely South Africa, Burundi and The Gambia submitted written notifications of withdrawal from the Rome Statute of the International Criminal Court (Rome Statute) to the Secretary General of the United Nations pursuant to Article 127 of the Rome Statute. Although the African Union welcomed and fully supported the three withdrawal notifications and considered them as 'pioneer implementers' of its 'Withdrawal Strategy' The Gambia and South Africa withdrew their notifications of withdrawal. Some other states Kenya, Namibia and Uganda have made threats to submit withdrawal notifications. This article examines four issues arising out of the said withdrawal notifications. First, why did the three states submit withdrawal notifications from the Rome Statute? Second, what is the impact of the three states' withdrawal notifications? Third, is the African Court on Human and Peoples' Rights (or the yet to be established African Court of Justice and Human and Peoples' Rights) a suitable African regional 'alternative' to the ICC? Finally, what steps might be taken to avoid, or at least minimise, further withdrawals in the future and to avoid impunity of perpetrators of international crimes in states that have withdrawn from the Rome Statute?
Against Secrecy: The Social Cost of International Dispute Settlement
Year: 2017

Three decades ago Owen Fiss published a landmark article Against Settlement which argued that the rising popularity of pretrial settlement and alternative dispute resolution was an unwelcome trend. It sacrificed the public benefits of complete and transparent adjudication for the private expedience of settling disputes. In this Article, we propose that international law is on the cusp of its very own settlement crisis.As international governance is taking on increasingly more difficult and demanding topics, firms and governments have radically expanded the use of international courts to resolve complex legal disputes. In their effort to become more legitimate and effective, these bodies have adopted a wide array of reforms aimed at creating more systematic adherence to procedures as well as greater transparency much as many national legal systems have undergone reform in response to Fiss like concerns. Using a unique dataset on all investor state arbitrations under the World Bank's International Centre for Settlement of Investment Disputes (ICSID) we show that those reforms are failing in part because parties have found ways to use pre judgment or 'out of court' settlement to hide relevant information and halt inconvenient disputes. In fact, such settlements are the dominant means by which parties keep the outcomes of litigation secret.We show, statistically, which factors are associated with secret settlement of investor state disputes. We also show that those factors are closely related to the same factors that legal scholars have identified theoretically and empirically as important explanators of settlement in national courts. Scholars and practitioners of international law have tended to view dispute resolution as an unalloyed good even when it is done in private exactly the bias Fiss warned about long ago. We argue that investor state disputes increasingly entrain issues that are important for public policy and not merely matters that should be resolved in private. Reforms, such as stronger disclosure rules and supervised settlements, will be needed to stem the settlement crisis in international law and yield a more consistent, coherent, and legitimate corpus of foreign investment law.
Comparison between Load Flow Analysis Methods in Power System using MATLAB
Year: 2014

Now these days load flow is a very important and fundamental tool for the analysis of any power systems and in the operations as well as planning stages. Certain applications, particularly in distribution automation and optimization of a power system, require repeated load flow solutions. In these applications it is very important to solve the load flow problem as efficiently as possible. Since the invention and widespread use of digital computers and many methods for solving the load flow problem have been developed. Most of the methods have "grown up" around transmission systems and, over the years, variations of the Newton method such as the fast decoupled method; have become the most widely used. Some of the methods based on the general meshed topology of a typical transmission system are also applicable to distribution systems which typically have a radial or tree structure. Specifically, we will compare the proposed method to the standard Newton Method, and the implicit Z bus Gauss method. Our goal is to develop a formulation and solutions algorithm for solving load flow in large 3 phase unbalanced systems which exploits the radial topological structure to reduce the number of equations and unknowns and the numerical structure by using Gauss Seidel Method, Newton Raphson Method and Fast Decoupled Method.
Self mixing interference measurement system of a fiber ring laser with ultra narrow linewidth.
Venue: Optics express
Year: 2012

A novel device for self mixing interference measurement based on the fiber ring laser with ultra narrow linewidth was investigated for the first time. In order to achieve requirement of our measurement system, a saturable absorber which consists of a segment un pumped erbium doped fiber and a fiber Bragg grating is employed to provide a fine mode selection and guarantee the ultra narrow linewidth operation. Results demonstrate that the signal to noise ratio of the self mixing interference signal could be enhanced from 18.01 dB to 38.35 dB by inserting a saturable absorber in the laser cavity. It is in good agreement with the theoretical analysis and proved potential using in self mixing interference measurement system for high sensitivity and remote measurement.
User Review Oriented Social Recommender System for Event Planning
Venue: Ingenierie des Systemes d Inf.
Year: 2020

14 June 2020  25 September 2020 Recommender system is used to suggest product or topic based on user's interest. Existing recommender system have focused on books, product, music etc. The problem in existing recommender system is that wedding/event based suggestions are not available. In the modern information era; storage, communication has been a challenge due to information veracity, volume, and velocity. Due to the constant and exponential growth of information, the utilization of information for context oriented services is not productive. In this paper, a wedding planner recommender system framework has been proposed based on hybrid approach i.e. content based, collaborative filtering technique. The motive of proposed framework is to generate user specific recommendations for different tasks related to the event specially wedding event, analyzed from the user comments on his social networking portal. Its main objective is to assist the user for organizing the events by suggesting specific vendors needed to arrange the event activities. Also, it would enhance the sales of location sensitive products in social commerce. The trial study conducted using a set of Facebook users is carried out to validate the proposed recommendation system framework. The success of the proposed framework is reported in terms of the level of user satisfaction achieved.
A state of the art survey of data mining based fraud detection and credit scoring
Year: 2018

Credit risk has been a widespread and deep penetrating problem for centuries, but not until various credit derivatives and products were developed and novel technologies began radically changing the human society, have fraud detection, credit scoring and other risk management systems become so important not only to some specific firms, but to industries and governments worldwide. Frauds and unpredictable defaults cost billions of dollars each year, thus, forcing financial institutions to continuously improve their systems for loss reduction. In the past twenty years, amounts of studies have proposed the use of data mining techniques to detect frauds, score credits and manage risks, but issues such as data selection, algorithm design, and hyperparameter optimization affect the perceived ability of the proposed solutions and it is difficult for auditors and researchers to explore and figure out the highest level of general development in this area. In this survey we focus on a state of the art survey of recently developed data mining techniques for fraud detection and credit scoring. Several outstanding experiments are recorded and highlighted, and the corresponding techniques, which are mostly based on supervised learning algorithms, unsupervised learning algorithms, semisupervised algorithms, ensemble learning, transfer learning, or some hybrid ideas are explained and analysed. The goal of this paper is to provide a dense review of up to date techniques for fraud detection and credit scoring, a general analysis on the results achieved and upcoming challenges for further researches.
A Theory and Model of Molten Salt Reactor Xenon Behavior After the Solubility Limit
Year: 2020

Due to the circulating nature of the fuel, there is a qualitative difference between xenon behavior in a molten salt reactor (MSR) compared to a solid fuel reactor. Therefore, the equations that describe 135Xe behavior in a molten salt reactor must be formulated differently. Prior molten salt reactor xenon models have focused on behavior below a solubility limit in which the 135Xe is partially dissolved in the fuel salt. It is foreseeable that a molten salt reactor may operate with a concentration of gas dissolved in the salt sufficiently high such that no further gas may dissolve in the fuel salt. This paper introduces a theory of molten salt reactor xenon behavior for a reactor operating above the solubility limit. A model was developed based on this theory and analyses performed are discussed.  (1) steady state xenon poisoning is not monotonic with respect to gas egress rate, (2) a increase in gas ingress rate leads to a characteristic increase which is followed by a new steady state in xenon poisoning, and (3) given a sufficient rate of gas egress, it is possible to remove the iodine pit behavior.
Association of Vitamin D Receptor Gene Polymorphism in Adults With Type 2 Diabetes in the Kashmir Valley.
Venue: Canadian journal of diabetes
Year: 2018

Approx 1 billion people across various ethnic and age groups have vitamin D deficiency. The high prevalence of such a deficiency is an imperative public health issue because hypovitaminosis D is an autonomous risk factor for mortality in the general population. Beyond bone integrity and calcium homeostasis, it is involved in numerous physiologic and pathologic processes. The role of vitamin D in the pathogenesis and prevention of type 2 diabetes mellitus has sparked universal interest.  This hospital based case control study was designed to study the association between 25 hydroxy vitamin D (25[OH]D) levels and the vitamin D receptor (VDR) gene polymorphism with diabetes and to evaluate their roles as risk factors for diabetes. 100 cases and controls were taken. 25(OH)D levels were analyzed by the chemilumenescence method using a Siemens ADVIA Centaur analyzer. Genomic DNA was extracted and Taq 1 and Bsm 1 genotyping in the VDR gene was done by using the polymerase chain reaction followed by restriction fragment length polymorphism (PCR RFLP) RESULTS 25(OH)D levels of patients with diabetes were significantly lower than those of controls (19.26+ 0.95 ng/mL vs. 25.49+ 1.02 ng/mL; p=0.001) 25(OH)D levels were found to be inversely associated with glycated hemoglobin percentages in cases (r2=0.74) The results suggested that the single nucleotide polymorphisms Taq 1 t(T) allele and b (G allele) in Bsm 1 might be a susceptibility allele for diabetes in the Kashmiri population.  VDR gene polymorphisms appear to be an important genetic determinant in the progression of diabetes. Considering the important predisposition risk factor, we observed that Taq 1 and Bsm 1 were strongly associated with diabetes in northern Indians. But requires further study as a probable genetic risk marker for diabetes.
Strategic Audit as an Integral Part of External State (Municipal) Financial Monitoring in the Modern Context
Year: 2020

the article justifies the necessity and expediency of introducing a strategic audit into the activities of the control and accounting bodies as one of the directions to improve the system of external state (municipal) financial monitoring.  research methods include structural and statistical analysis, synthesis, and economic forecasting.  The article explores the changes that have occurred in recent years in approaches to the management of economic relations at government and municipal level in Russia. The Development Strategy for the Accounts Chamber of the Russian Federation until 2024 has been discussed and priority areas of development have been revealed. One of them is the development of a methodology and the further implementation of strategic audit tools. The article also deals with theoretical approaches to defining "strategy" "strategic audit" and presents the practical experience using strategic audit elements. It has been found out that strategic audit is a new area of financial monitoring with its distinctive features. The history of a strategic audit in public administration is closely connected to strategic planning. The strategic audit is aimed at control (monitoring) of activities related to the accomplishment of national and industry specific goals of the socio economic development of territories specified in strategic planning documents.  The content and methodology of strategic audit both at the federal, regional and municipal level are emerging now. In the framework of this article, the authors investigate some areas that haven't been studied before and predict further development of strategic audit tools.
Deep Hashing Based on VAE GAN for Efficient Similarity Retrieval
Venue: Chinese Journal of Electronics
Year: 2019

Inspired by the recent advances in generative networks, we propose a VAE GAN based hashing framework for fast image retrieval. The method combines a Variational autoencoder (VAE) with a Generative adversarial network (GAN) to generate content preserving images for pairwise hashing learning. By accepting real image and systhesized image in a pairwise form, a semantic perserving feature mapping model is learned under a adversarial generative process. Each image feature vector in the pairwise is converted to a hash codes, which are used in a pairwise ranking loss that aims to preserve relative similarities on images. Extensive experiments on several benchmark datasets demonstrate that the proposed method shows substantial improvement over the state of the art hashing methods.
SoC implementation of depthwise separable convolution for object detection
Venue: ICCIP '19
Year: 2019

Depthwise separable convolution has been used in CNN to reduce operations and parameters with only limited loss in accuracy. However, the state of the art CNNs that adopt depthwise separable convolution still require a powerful computing platform such as a Graphics Processing Unit (GPU) In this paper: firstly, we design three kinds of work models for process element(PE) based on FPGA: standard convolution model, depthwise convolution model and pointwise convolution model; then we implement MobileNet SSD on SoC for object detection, and our method requires only limited resources; besides, we propose a method to transform float point data into fixed point data, making computation more convenient. And the results show that our work can detect object at 13 fps.
Correlations between holistic processing, Autism quotient, extraversion, and experience and the own gender bias in face recognition
Venue: PloS one
Year: 2019

The variability in the own gender bias (OGB) in face recognition is thought to be based on experience and the engagement of expert face processing mechanisms for own gender faces. Experience is also associated with personality characteristics such as extraversion and Autism, yet the effects of these variables on the own gender bias has not been explored. We ran a face recognition study exploring the relationships between own gender experience, holistic processing (measured using the face inversion effect, composite face effect, and the parts and wholes test) personality characteristics (extraversion and Autism Quotient) and the OGB. Findings did not support a mediational account where experience increases holistic processing and this increases the OGB. Rather, there was a direct relationship between extraversion and Autism Quotient and the OGB. We interpret this as personality characteristics having an effect on the motivation to process own gender faces more deeply than opposite gender faces.