nils-herrmann/clean_scirepeval huggingface dataset:
MSMEs (Micro, Small and Medium Enterprises) Segmentation in India: Towards Need Based Financing
Year: 2014

MSMEs (Micro, Small and Medium Enterprises) is one of the sectors in India that not only contributes significantly to economic growth but also its contribution is more than the overall GDP growth rate. This sector is thought to be one but actually it is not homogeneous in itself. Apart from operations, MSME sector as a whole is facing a major problem related to financing of its enterprises. When analyzed closely, it is found that funding needs of Micro Enterprises, Small Enterprises and Medium Enterprises are different from each other and therefore the quantum and frequency of fund requirements vary from enterprise to enterprise. This paper depicts the differences that exist in the financing needs of Micro, Small and Medium enterprises in India. As financing problems are different within the sector, it should be dealt differently and different strategies should be adopted to meet their financing needs accordingly. This paper has been prepared on the basis of literatures available in various MSMEs annual reports, journals and articles. The present research paper reveals that as there are considerable differences in the financing needs of different segments of the MSME sector and there is a need to redefine the sector again.
LGP2 binds to PACT to regulate RIG I and MDA5 mediated antiviral responses
Venue: Science Signaling
Year: 2019

The interaction between LGP2 and a component of the RNA silencing machinery enables coordination of innate immune responses. An antiviral PACT The RIG I like receptors (RLRs) RIG I and MDA5 sense cytosolic viral RNAs during infection and activate signaling pathways that culminate in the production of type I interferons (IFNs) and proinflammatory cytokines as part of the antiviral immune response. LGP2, another member of the RLR family, inhibits RIG I mediated responses while enhancing MDA5 signaling. Sanchez David et al. found that this differential effect of LGP2 depended on its binding to PACT, a cofactor of DICER in the processing of microRNAs. Mutation of a residue in LGP2 required for the LGP2 PACT interaction resulted in loss of the regulatory effect of LGP2 over the other RLRs. Together, these data provide evidence of a connection between the RNA silencing machinery and the innate immune response. The retinoic acid inducible gene I (RIG I) like receptors (RLRs) RIG I, MDA5, and LGP2 stimulate inflammatory and antiviral responses by sensing nonself RNA molecules produced during viral replication. Here, we investigated how LGP2 regulates the RIG I and MDA5 dependent induction of type I interferon (IFN) signaling and showed that LGP2 interacted with different components of the RNA silencing machinery. We identified a direct protein protein interaction between LGP2 and the IFN inducible, double stranded RNA binding protein PACT. The LGP2 PACT interaction was mediated by the regulatory C terminal domain of LGP2 and was necessary for inhibiting RIG I dependent responses and for amplifying MDA5 dependent responses. We described a point mutation within LGP2 that disrupted the LGP2 PACT interaction and led to the loss of LGP2 mediated regulation of RIG I and MDA5 signaling. These results suggest a model in which the LGP2 PACT interaction regulates the inflammatory responses mediated by RIG I and MDA5 and enables the cellular RNA silencing machinery to coordinate with the innate immune response.
The Strength of Association Between Surrogate End Points and Survival in Oncology: A Systematic Review of Trial Level Meta analyses.
Venue: JAMA internal medicine
Year: 2015

The strength of association between surrogate end points and survival in oncology is important to understand because surrogate end points are frequently used in oncology clinical trials, supporting US Food and Drug Administration approvals and National Comprehensive Cancer Network guideline recommendations.  To identify and evaluate trial level meta analyses of randomized clinical trials quantifying the association between a surrogate end point and overall survival in medical oncology. Trial level correlations test whether treatments that improve the surrogate end point also improve the final end point and are widely considered the strongest evidence to validate a surrogate end point.  Our literature search was built on earlier reported data sets and updated with Google Scholar and MEDLINE searches conducted on December 26, 2014. For MEDLINE, search terms included "regression" or "correlation" and "surrogate" and "end point [or endpoint]" and "oncology" or "cancer" For Google scholar, search terms included "regression" or "correlation" and "surrogate end point [or endpoint]" and "overall survival" and "trial level." A total of 108 abstracts were retrieved, and 62 articles were read in full in addition to articles identified through prior reviews.  We found 36 articles in which 65 specific correlations between a surrogate end point and survival were identified. Surrogate end points were studied in the neoadjuvant, adjuvant, locally advanced, and metastatic settings. The most common sources for trials included in the 36 articles were systematic reviews of the published literature (10 of 36; 28% and published literature and meeting abstracts (14 of 36; 39% Four meta analyses (11% used a convenience sample, and only 5 studies (14% attempted to include unpublished trials by surveying clinical trial registries. Among these 5 studies, only 352 of 684 eligible trials (51.1% were included in the analyses. More than half of reported correlations (34 of 65; 52% were of low strength (r 0.7) Approximately a quarter (16 of 65; 25% were of medium strength (r 0.7 to r 0.85) and 15 of 65 (23% were highly correlated (r 0.85) with survival.  Most trial level validation studies of surrogate end points in oncology find low correlations with survival. All validation studies use only a subset of available trials. The evidence supporting the use of surrogate end points in oncology is limited.
Efficiently Learning a Distributed Control Policy in Cyber Physical Production Systems Via Simulation Optimization
Venue: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)
Year: 2020

The manufacturing industry is becoming more dynamic than ever. The limitations of non deterministic network delays and real time requirements call for decentralized control. For such dynamic and complex systems, learning methods stand out as a transformational technology to have a more flexible control solution. Using simulation for learning enables the description of highly dynamic systems and provides samples without occupying a real facility. However, it requires prohibitively expensive computation. In this paper, we argue that simulation optimization is a powerful tool that can be applied to various simulation based learning processes for tremendous effects. We proposed an efficient policy learning framework, ROSA (Reinforcement learning enhanced by Optimal Simulation Allocation) with unprecedented integration of learning, control, and simulation optimization techniques, which can drastically improve the efficiency of policy learning in a cyber physical system. A proof of concept is implemented on a conveyer switch network, demonstrating how ROSA can be applied for efficient policy learning, with an emphasis on the industrial distributed control system.
Comparison of Linux Filtering Tools for Mitigation of DDoS Attacks
Venue: 2018 41st International Conference on Telecommunications and Signal Processing (TSP)
Year: 2018

Every year, the intensity and quantity of Distributed Denial of Service (DDoS) attacks realized is incessantly increasing, that is confirmed by companies such as Kaspersky, Imperva or Verisign. Moreover, this reality is also confirmed by the published losses of victims. The popularity of these attacks is mainly trigger for the simplicity of realization therefore the actual costs of the attack realization are cheap. The main goal of this article is to compare open source tools for network data processing. This research is realized in order to identify the most effective tool including the settings that will be implemented into DDoS mitigation system. The final system provide adaptive network filtering based on the decomposition of network traffic and filtering utilizing commodity servers.
Pengaruh Kualitas Produk, Kualitas Pelayanan Dan Customer Value Terhadap Kepuasan Konsumen Pengguna Indihome PT. Telkom Indonesia (Persero) Tbk. Di Jakarta
Year: 2019

Tujuan utama dari penelitian ini adalah untuk mengetahui pengaruh kualitas produk, kualitas pelayanan dan customer value terhadap kepuasan konsumen pada pelanggan IndiHome di Jakarta dengan menggunakan pendekatan deskriptif kuantitatif. Data dalam penelitian diperoleh dari 155 responden yang merupakan pengguna IndiHome di Jakarta. Metode yang digunakan dalam penelitian ini menggunakan metode tambahan dari structural equation modeling (SEM) yang disebut partial least square (PLS) Tahap awal adalah menguji validitas pertanyaan setiap variabel berikut dengan reliabilitasnya. Tahap kedua menguji pengaruh variabel kualitas produk, kualitas pelayan dan customer value terhadap kepuasan konsumen. Kesimpulan dari penelitian ini menyebutkan bahwa variabel kualitas produk dan kualitas pelayanan berpengaruh positif terhadap kepuasan pelanggan sementara variabel customer value tidak berpengaruh terhadap kepuasan konsumen.
The reduction of Fe bearing copper slag for its use as a catalyst in carbon oxide hydrogenation to methane. A contribution to sustainable catalysis.
Venue: Journal of hazardous materials
Year: 2019

Reduction of Fe phases in a slag from the copper smelting process is studied for its use as a catalyst in methanation of carbon oxide (CO) This material contains 36.4 wt% Fe and the main Fe phases in its fresh and reduced forms were identified and quantified. Chemical analysis and X ray diffraction (XRD) for crystalline phase detection and determination of Fe dispersion were carried out. Reducibility of Fe oxides was studied by thermal programmed reduction (TPR) under H2 at 650 and 800 degC using 0.5 and 2 h soak time. In the fresh slag, iron was found to be in the form of Fe3O4 (17.4 wt% and fayalite, Fe2SiO4 (43.4 wt% The composition was experimentally determined and verified by stoichiometric balances and thermogravimetric analysis (TGA) Upon reduction at 800 degC and 2 h soak time, 87 of the Fe phases were reduced, leaving an activated catalyst with a 35.2 Fe0, which is the active phase for CO hydrogenation to methane. An expression was derived to determine the Fe0 concentration in the reduced slag based on the composition of the fresh slag and its reduction degree. The catalytic activity of the reduced slag during CO hydrogenation was evaluated in a fixed bed differential reactor. The selectivity to methane, at 300 degC, was 87 thus confirming its catalytic activity for the selected reaction.
Biodegradation of wood exposed in the marine environment: Evaluation of the hazard posed by marine wood borers in fifteen European sites
Year: 2014

The activity of marine wood borers causes great destruction in maritime wooden structures. Therefore, the aim of this study was to evaluate the hazard posed by marine wood borers in fifteen European sites, to assist authorities and researchers concerned with the protection of wood in the sea. In northern Europe, Teredo navalis is the species that poses the highest borer hazard while in the Atlantic coast of southern Europe Lyrodus pedicellatus is the most destructive species, with the exception of two sites in Portugal. In these sites, Limnoria tripunctata was more destructive than L. pedicellatus In the Mediterranean both T. navalis and L. pedicellatus pose a very high borer hazard to wooden structures. Salinity and temperature emerged as the environmental conditions that best explain the occurrence and abundance of wood boring species in the sites surveyed. Three of the species highlighted in this study are warm water species. Therefore their activity might increase in the future, due to global warming. Considering that wood is still a very valuable material for construction, its use for maritime construction should be favoured. Thus research to improve the durability of wooden materials in the marine environment is of paramount importance.
Attention Interpretability Across NLP Tasks
Venue: ArXiv
Year: 2019

The attention layer in a neural network model provides insights into the model's reasoning behind its prediction, which are usually criticized for being opaque. Recently, seemingly contradictory viewpoints have emerged about the interpretability of attention weights (Jain Wallace, 2019; Vig Belinkov, 2019) Amid such confusion arises the need to understand attention mechanism more systematically. In this work, we attempt to fill this gap by giving a comprehensive explanation which justifies both kinds of observations (i.e. when is attention interpretable and when it is not) Through a series of experiments on diverse NLP tasks, we validate our observations and reinforce our claim of interpretability of attention through manual evaluation.
Nanocomposite Multilayer Binary Nitride Coatings Based on Transition and Refractory Metals: Structure and Properties
Venue: Coatings
Year: 2019

One area of constant interest in many fields of industry is development of functional multilayer coatings that possess excellent performance characteristics. That is why in our brief review the results of studies of structure and properties of multilayer structures based on binary nitrides of transition or refractory metals obtained by various physical vapor deposition (PVD) techniques are presented. The influence of substrate temperature, substrate bias voltage, bilayer thickness and interface boundaries on the structure of coatings and their properties, such as hardness, plasticity, wear and corrosion resistance, are discussed in detail. This review may be useful for students and growing community of researchers interested in the synthesis structure properties relationship in multilayer coatings based on metal nitrides.
Forces for change in higher education and implications for the accounting academy
Year: 2017

Accounting educators need to understand the forces for change in higher education, as well as the current state of accounting programs. Part I of this paper describes how financial and technology forces have combined to dramatically change the milieu of higher education. In terms of financial forces, we examine changing student demographics, the level of student debt, shrinking levels of governmental support, and philanthropic limitations. We conclude that the financial model that has served postsecondary education well for many years is now significantly strained. In terms of technology forces, we examine the growth of offshoring and automation of accounting/finance jobs; and a growing skills/competency gap, both in the general job market and in the accounting profession. Technology advances have transformed academic research and publishing, and have been incorporated into familiar ways of teaching. However, as yet, they have not significantly changed either what we teach (curriculum) or how we teach (pedagogy) changes in these areas may accompany future financial models. We provide examples of institutional responses to date and discuss the importance of strategic planning. Part II of this paper considers the implications for accounting academia. We report the results of a survey of accounting program leaders, including examples of recent curricular and faculty (staffing) changes. We recommend strong faculty involvement in change efforts, but also discuss simpler ways that faculty can get involved in efforts to face the forces for change. Concluding thoughts consider both the window of time to institute major change and ideas for future research.
Diabetes Prediction Using Artificial Neural Network
Year: 2018

Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN) So in this paper, we used artificial neural networks to predict whether a person is diabetic or not. The criterion was to minimize the error function in neural network training using a neural network model. After training the ANN model, the average error function of the neural network was equal to 0.01 and the accuracy of the prediction of whether a person is diabetics or not was 87.3%
PENINGKATAN KECERDASAN LOGIKA MATEMATIKA MELALUI KEGIATAN FUN COOKING
Year: 2020

Penelitian ini bertujuan untuk meningkatkan kemampuan kecerdasan logika matematika anak kelompok B2 melalui kegiatan fun cooking di TK Negeri Pembina Pandeglang tahun ajaran 2015/2016. Subjek penelitian ini adalah anak kelompok B2 yang terdiri dari 15 anak yaitu 9 anak perempuan dan 6 anak laki laki. Penelitian ini dilakukan di TK Negeri Pembina Pandeglang yang berlokasi di jalan Perkantoran Cikupa No. 2 Kecamatan Pandeglang Kabupaten Pandeglang Provinsi Banten. Metode penelitian yang digunakan adalah penelitian tindakan yang dilakukan melalui dua siklus, yaitu siklus I terdiri dari 8 tindakan dan siklus II terdiri dari 2 tindakan. Siklus terdiri atas perencanaan, tindakan, pengamatan dan refleksi. Instrumen yang digunakan dalam penelitian ini adalah observasi, catatan lapangan, wawancara dan catatan dokumentasi. Hasil penelitian yang diperoleh pada pra penelitian kecerdasan logika matematika anak 36% Setelah anak diberikan tindakan pada siklus I, kecerdasan logika matematika anak meningkat menjadi 67% pada siklus II di peroleh hasil sebesar 79% Dengan demikian, kecerdasan logika matematika anak sudah meningkat dan berada pada taraf berkembang sangat baik. Dapat disimpulkan bahwa dengan menggunakan kegiatan fun cooking dapat meningkatkan kecerdasan logika matematika pada anak kelompok B2 di TK Negeri Pembina Pandeglang.
El sistema de responsabilidad ambiental en Francia y Argentina. Desafios de su implementacion en la Union Europea y en los paises del MERCOSUR
Year: 2018

The project had as an objective an approximation to the concept of environmental liability, on the part of both the private legal persons and the State. This concept influences the legal description of environmental damage and of its compensation. The aforementioned analysis received a differentiated dimension in this project, via the comparison between the Argentine legislation and that of the MERCOSUR members, and the French and European ones. The objectives of the project were achieved. Comparative studies were carried out in parallel on the environmental liability regimes of France, the European Union, Argentina and the MERCOSUR members, through inductive and deductive methods, jurisprudential cases and survey techniques among the sectors involved. The relevance obtained by the project during its execution, both in France and in Argentina, merited the collaboration of other specialists in the subject, among them Prof. Francois Trebulle, Dean of the School of Law of the Sorbonne. The result of the project was a work written in collaboration with colleagues of Environmental Law from Universite Paris I Pantheon Sorbonne. It is worth emphasizing that it was the first initiative of this kind that was carried out at Universidad del Salvador, fulfilling the objective of the internationalization of the research. Responsibility in environmental matters presents major challenges: from the principle of common but differentiated responsibility, at international level, to the amount of compensation awarded to society for the collective values affected. The work included recommendations for an effective and efficient application of environmental principles to the subject. As a final conclusion to the analysis of the situation on the topic of environmental liability at regional and international level, we arrived at the following idea, as expressed in the joint work: "From the point of view of Environmental International Law, we should think about the environmental principles in the light of the current regional scene and of the incorporation of some Latin American countries to the Organization for Economic Cooperation and Development (OECD) Another topic of major relevancy is the financial mechanisms. We are facing a new reconsideration of the increasingly scanty resources from the Global Environment Fund (GEF) which proposes the use of our own financial resources and also the incorporation of a budget line for the resolution of the environmental problems in our countries and in the world."
The Role of Information Technology in Business Process Management
Venue: Handbook on Business Process Management
Year: 2015

In BPM, discussions of Information Technologies are traditionally limited to specialized BPM tools and workflow management solutions. In this chapter, we develop an expanded view of IT support for business processes that allows considering the process enabling role of a variety of ITs from telecommunication infrastructure to business intelligence solutions. We propose that the information that is used by a business process can be classified based on two dimensions, information domain and information level, into instance level business information, instance level process information, reference level business information, and reference level process information. We further propose that IT enables business processes by providing information management, information processing and communication support for the aforementioned information types. In this chapter we discuss examples of how different classes of IT provide different types of business process support. The expanded view of IT support for business processes allows for a closer integration of various IT related initiatives with BPM efforts. It also offers a framework for measuring the level of IT support for business processes.
Information Sharing and Searching via Collaborative Reinforcement Learning
Venue: SETN
Year: 2012

This paper proposes a method for computing a routing policy value function for effective information sharing and searching in arbitrary networks of agents through collaborative reinforcement learning. This is done by means of local computations performed by agents and payoff propagation. The aim is to 'tune' a network of agents for efficient and effective information searching and sharing, without altering the topology or imposing an overlay structure.
Rosmarinic acid ameliorates hyperglycemia and insulin sensitivity in diabetic rats, potentially by modulating the expression of PEPCK and GLUT4
Venue: Drug design, development and therapy
Year: 2016

Rosmarinic acid (RA) is a natural substance that may be useful for treating diabetes mellitus. The present study investigated the effects of RA on glucose homeostasis and insulin regulation in rats with streptozocin (STZ) induced type 1 diabetes or high fat diet (HFD) induced type 2 diabetes.  Glucose homeostasis was determined using oral glucose tolerance tests and postprandial glucose tests, and insulin activity was evaluated using insulin tolerance tests and the homeostatic model assessment for insulin resistance. Additionally, the protein expression levels of PEPCK and GLUT4 were determined using Western blot analysis.  RA administration exerted a marked hypoglycemic effect on STZ induced diabetic rats and enhanced glucose utilization and insulin sensitivity in HFD fed diabetic rats. These effects of RA were dose dependent. Meanwhile, RA administration reversed the STZ and HFD induced increase in PEPCK expression in the liver and the STZ and HFD induced decrease in GLUT4 expression in skeletal muscle.  RA reduces hyperglycemia and ameliorates insulin sensitivity by decreasing PEPCK expression and increasing GLUT4 expression.