nils-herrmann/clean_scirepeval huggingface dataset:
Large Scale Online Kernel Learning
Venue: J. Mach. Learn. Res.

In this paper, we present a new framework for large scale online kernel learning, making kernel methods efficient and scalable for large scale online learning applications. Unlike the regular budget online kernel learning scheme that usually uses some budget maintenance strategies to bound the number of support vectors, our framework explores a completely different approach of kernel functional approximation techniques to make the subsequent online learning task efficient and scalable. Specifically, we present two different online kernel machine learning algorithms: (i) Fourier Online Gradient Descent (FOGD) algorithm that applies the random Fourier features for approximating kernel functions; and (ii) Nystrom Online Gradient Descent (NOGD) algorithm that applies the Nystrom method to approximate large kernel matrices. We explore these two approaches to tackle three online learning tasks: binary classification, multi class classification, and regression. The encouraging results of our experiments on large scale datasets validate the effectiveness and efficiency of the proposed algorithms, making them potentially more practical than the family of existing budget online kernel learning approaches.
Dietary Fatty Acids Differentially Associate with Fasting Versus 2 Hour Glucose Homeostasis: Implications for The Management of Subtypes of Prediabetes
Venue: PloS one

Over nutrition has fuelled the global epidemic of type 2 diabetes, but the role of individual macronutrients to the diabetogenic process is not well delineated. We aimed to examine the impact of dietary fatty acid intake on fasting and 2 hour plasma glucose concentrations, as well as tissue specific insulin action governing each. Normoglycemic controls (n 15) athletes (n 14) and obese (n 23) as well as people with prediabetes (n 10) and type 2 diabetes (n 11) were queried about their habitual diet using a Food Frequency Questionnaire. All subjects were screened by an oral glucose tolerance test (OGTT) and studied using the hyperinsulinemic/euglycemic clamp with infusion of 6,62H2 glucose. Multiple regression was performed to examine relationships between dietary fat intake and 1) fasting plasma glucose, 2) suppression of endogenous glucose production, 3) 2 hour post OGTT plasma glucose, and 4) skeletal muscle insulin sensitivity (glucose rate of disappearance (Rd) and non oxidative glucose disposal (NOGD) The %kcal from saturated fat (SFA) was positively associated with fasting (b 0.303, P 0.018) and 2 hour plasma glucose (b 0.415, P<0.001) and negatively related to suppression of hepatic glucose production (b 0.245, P 0.049) clamp Rd (b 0.256, P 0.001) and NOGD (b 0.257, P 0.001) The %kcal from trans fat was also negatively related to clamp Rd (b 0.209, P 0.008) and NOGD (b 0.210, P 0.008) In contrast, the %kcal from polyunsaturated fat (PUFA) was negatively associated with 2 hour glucose levels (b 0.383, P 0.001) and positively related to Rd (b 0.253, P 0.007) and NOGD (b 0.246, P 0.008) Dietary advice to prevent diabetes should consider the underlying pathophysiology of the prediabetic state.
On Summarization and Timeline Generation for Evolutionary Tweet Streams

Short text messages such as tweets are being created and shared at an unprecedented rate. Tweets, in their raw form, while being informative, can also be overwhelming. For both end users and data analysts, it is a nightmare to plow through millions of tweets which contain enormous amount of noise and redundancy. In this paper, we propose a novel continuous summarization framework called Sumblr to alleviate the problem. In contrast to the traditional document summarization methods which focus on static and small scale data set, Sumblr is designed to deal with dynamic, fast arriving, and large scale tweet streams. Our proposed framework consists of three major components. First, we propose an online tweet stream clustering algorithm to cluster tweets and maintain distilled statistics in a data structure called tweet cluster vector (TCV) Second, we develop a TCV Rank summarization technique for generating online summaries and historical summaries of arbitrary time durations. Third, we design an effective topic evolution detection method, which monitors summary based/volume based variations to produce timelines automatically from tweet streams. Our experiments on large scale real tweets demonstrate the efficiency and effectiveness of our framework.
Tweet Streams Online Summarization and Timeline Generation Miss

Twitter is one of the famous micro blogging services, with hundreds of millions of tweets being posted every day on a wide variety of topics. Tweets are the short text messages which are limited upto 140 characters in length. They are generated and given out at an unusual rate. Tweets are descriptive in nature. Tweets contain too many noisy data and redundancies. In this, we make an attempt to introduce a distinctive new framework for continuous summarization called Summblr to deal with the problem. Existing methods that summarize the documents high light on small scale data sets that are static. Summblr. in contrast ,is developed to deal with large scale tweet data streams which arrive at a faster rate dynamically. Our constructed framework includes three major components. As a first step, a clustering algorithm for tweet data stream is proposed which is online to cluster together the tweets and maintain it in one of the data structure called as TCV that is tweet cluster vector. Secondarily, a novel technique called TCV Rank summarization for generating summaries both online and historical of any time durations is proposed. Thirdly, we develop a method for effectively detecting the topic evolution, which continuously checks the variations that are summary or volume based to automatically produce the timelines from large tweet streams.
The Effect Of Organizational Culture On Employee Commitment: A Mediating Role Of Human Resource Development In Korean Firms

The purpose of this study is to examine the effect of organizational culture defined as communication, trust, and innovative production on employees' organizational commitment. Furthermore, we explored the possibility the role of HRD (Human Resource Development) activities in mediating the aforementioned relationship. Using the national employer survey data conducted by Korean government in 2011, the results find that organizational culture, in particular, defined as better communication among superiors and subordinates, trust, and appreciation of innovation from superiors, is positively related to organizational commitment. In addition, firm's investment in HRD or employee participation in HRD would play a mediating role in influencing the relationship between organizational culture and organizational commitment. Therefore, organizational culture is a critical factor to increase workers' motivation through the participation in HRD training program, thereby increasing worker's commitment. The results provide theoretical and practical implications in HRD and its link to organizational culture in organizations.
Hydrogen Sulfide Induces Keap1 S sulfhydration and Suppresses Diabetes Accelerated Atherosclerosis via Nrf2 Activation
Venue: Diabetes

Hydrogen sulfide (H2S) has been shown to have powerful antioxidative and anti inflammatory properties that can regulate multiple cardiovascular functions. However, its precise role in diabetes accelerated atherosclerosis remains unclear. We report here that H2S reduced aortic atherosclerotic plaque formation with reduction in superoxide (O2 generation and the adhesion molecules in streptozotocin (STZ) induced LDLr mice but not in LDLr Nrf2 mice. In vitro, H2S inhibited foam cell formation, decreased O2 generation, and increased nuclear factor erythroid 2 related factor 2 (Nrf2) nuclear translocation and consequently heme oxygenase 1 (HO 1) expression upregulation in high glucose (HG) plus oxidized LDL (ox LDL) treated primary peritoneal macrophages from wild type but not Nrf2 mice. H2S also decreased O2 and adhesion molecule levels and increased Nrf2 nuclear translocation and HO 1 expression, which were suppressed by Nrf2 knockdown in HG/ox LDL treated endothelial cells. H2S increased S sulfhydration of Keap1, induced Nrf2 dissociation from Keap1, enhanced Nrf2 nuclear translocation, and inhibited O2 generation, which were abrogated after Keap1 mutated at Cys151, but not Cys273, in endothelial cells. Collectively, H2S attenuates diabetes accelerated atherosclerosis, which may be related to inhibition of oxidative stress via Keap1 sulfhydrylation at Cys151 to activate Nrf2 signaling. This may provide a novel therapeutic target to prevent atherosclerosis in the context of diabetes.
Identification of Useful Nanobodies by Phage Display of Immune Single Domain Libraries Derived from Camelid Heavy Chain Antibodies.
Venue: Current pharmaceutical design

The discovery of functional heavy chain only antibodies devoid of light chains in sera of camelids and sharks in the early nineties provided access to the generation of minimal sized, single domain, in vivo affinity matured, recombinant antigenbinding fragments, also known as Nanobodies.  Recombinant DNA technology and adaptation of phage display vectors form the basis to construct large naive, synthetic or medium sized immune libraries from where multiple Nanobodies have been retrieved. Alternative selection methods (i.e. bacterial display, bacterial two hybrid, Cis display and ribosome display) have also been developed to identify Nanobodies. The antigen affinity, stability, expression yields and structural details of the Nanobodies have been determined by standard technology. Nanobodies were subsequently engineered for higher stability and affinity, to have a sequence closer to that of human immunoglobulin domains, or to add designed effector functions.  Antigen specific Nanobodies recognizing with high affinity their cognate antigen were retrieved from various libraries. High expression yields are obtained from microorganisms, even when expressed in the cytoplasm. The purified Nanobodies are shown to possess beneficial biochemical and biophysical properties. The crystal structure of Nanobody::antigen complexes reveal the preference of Nanobodies for cavities on the antigen surface.  Thanks to the properties described above, Nanobodies became a highly valued and versatile tool for biomolecular research. Moreover, numerous diagnostic and therapeutic Nanobody based applications have been developed in the past decade.
Optimizing Sparse Tensor Times Matrix on Multi core and Many Core Architectures
Venue: 2016 6th Workshop on Irregular Applications: Architecture and Algorithms (IA3)

This paper presents the optimized design and implementation of sparse tensor times dense matrix multiply (SpTTM) for CPU and GPU platforms. This primitive is a critical bottleneck in data analysis and mining applications based on tensor methods, such as the Tucker decomposition. We first design and implement sequential SpTTM to avoid explicit data transformations between a tensor and a matrix, which is the conventional approach. We further optimize SpTTM on multicore CPU and GPU systems by parallelizing, avoiding locks, and exploiting data locality. Our sequential SpTTM is up to 3.5x faster than the SpTTM from Tensor Toolbox and 1.5x over that from Cyclops Tensor Framework. Our parallel algorithms show 4.1x speedup on multicore Intel Core i7 and 18.8x speedup on NVIDIA K40c GPU over our sequential SpTTM respectively.
In vitro analysis of the fracture resistance of CAD CAM monolithic zirconia molar crowns with different occlusal thickness.
Venue: Journal of the mechanical behavior of biomedical materials

To compare the fracture resistance and mode of failure of CAD CAM monolithic zirconia crowns with different occlusal thickness.  Forty CAD CAM monolithic zirconia crowns with different occlusal thickness were randomly distributed into 4 experimental groups: 2.0mm (group 1) 1.5mm (group 2) 1.0mm (group 3) and 0.5mm (group 4) The restorations were cemented onto human molars with a self adhesive resin cement. The specimens were loaded until fracture; the fracture resistance and mode of failure were recorded. The data were statistically analyzed with the one way ANOVA followed by the Fisher's Exact test with Bonferroni's correction (p=0.05)  The fracture resistance values of all the specimens exceeded the maximum physiological occlusal loads in molar regions. All the crowns showed cohesive microcracks of the zirconia core; only 1 crown with a thickness of 0.5mm was interested by a complete fracture.  The occlusal thickness of CAD CAM monolithic zirconia crowns did not influence either the fracture resistance and the mode of failure of the restorations; the occlusal thickness of CAD CAM monolithic zirconia crowns can be reduced up to a lower bound of 0.5mm keeping a sufficient strength to withstand occlusal loads; CAD CAM monolithic zirconia crowns showed sufficient fracture resistance to be used in molar regions, even in a thin configuration (0.5mm)
Fracture resistance of monolithic zirconia crowns with different occlusal thicknesses in implant prostheses.
Venue: The Journal of prosthetic dentistry

The use of monolithic zirconia crowns in implant prostheses is increasing, especially when the interdental space is insufficient. However, fractures have been reported in clinical practice.  The purpose of this study was to determine the minimal thickness of a complete zirconia crown used for an implant prosthesis in the posterior dental region.  Fifty complete zirconia crowns were produced using a computer aided design/computer aided manufacturing technique. In each group, 5 crowns of varying thicknesses (0.4, 0.5, 0.6, 0.7, and 0.8 mm) were subjected to cycles of vertical and 10 degree oblique compressive loading at 5 Hz and 300 N in a servohydraulic testing machine. Five finite element models comprising 5 different occlusal thicknesses (0.4, 0.5, 0.6, 0.7, and 0.8 mm) were simulated at 2 loading angles (0 and 10 degrees) and 3 loading forces (300, 500, and 800 N) Data were statistically analyzed, and fracture patterns were observed with a scanning electron microscope.  Cyclic loading tests revealed that the fracture resistance of the specimens was positively associated with prosthesis thickness (P<.01) Low von Mises stress values were obtained for prostheses with a minimal thickness of 0.7 mm under varying loading directions and forces.  Zirconia prostheses with a minimal thickness of 0.7 mm had a high fracture resistance and the lowest stress values. Therefore, dentists and laboratory technicians should carefully choose the optimum thickness of zirconia prostheses.
Effect of cements on fracture resistance of monolithic zirconia crowns
Venue: Acta biomaterialia odontologica Scandinavica

The present study investigated the effect of cements on fracture resistance of monolithic zirconia crowns in relation to their compressive strength.  Four different cements were tested: zinc phosphate cement (ZPC) glass ionomer cement (GIC) self adhesive resin based cement (SRC) and resin based cement (RC) RC was used in both dual cure mode (RC D) and chemical cure mode (RC C) First, the compressive strength of each cement was tested according to a standard (ISO 9917 1:2004) Second, load to failure test was performed to analyze the crown fracture resistance. CAD/CAM produced monolithic zirconia crowns with a minimal thickness of 0.5 mm were prepared and cemented to dies with each cement. The crown die samples were loaded until fracture.  The compressive strength of SRC, RC D and RC C was significantly higher than those of ZPC and GIC (p 0.05) However, there was no significant difference in the fracture load of the crown between the groups.  The values achieved in the load to failure test suggest that monolithic zirconia crowns with a minimal thickness of 0.5 mm may have good resistance against fracture regardless of types of cements.
The Effects of Antidumping Duties in a New Open Economy Macroeconomics Model

This paper presents New Open Economy Macroeconomics as the analytical framework in attempt to integrate the characteristics of imperfect competition market and antidumping behavior into a two country (home country and foreign country) model with micro foundation. We analyze the long term effect of implementing antidumping duty in home country on various microeconomic variables (i.e. consumption, output, price, exchange rate, and terms of trade [TOT] when foreign country engage in dumping behaviors toward the home country. Theoretical inference and simulation analysis of this paper suggests a positive correlation between antidumping duty and domestic consumption, foreign consumption, world consumption, domestic price index, foreign price index, and exchange rate; whereas a negative correlation between antidumping duty and the domestic output, foreign output, and TOT. Moreover, the level of volatility in all macroeconomic variables rises when the ratio of export product price selling below its retail price in home country expands.
Accounting practice and the historic turn: performing budget histories

The central project of this paper is to reveal alternative performances of history in municipal budget making practices, and to theorize historiography as a dramatic actor in those practices. The historic turn, a decade after its introduction, is in need of a variety of empirical illustrations of its theoretical concepts. This includes investigating how ANTi History, with its amodern orientation, informs debates around actor network theory and historiography. ANTi History is demonstrated within what is typically a positivist environment (municipal budgeting) The accountant persona has been theorized as 'boring bean counter' or 'trustworthy custodian' of assets. This paper avoids both of these generalizations, instead constituting the accountant as dramatic and historically situated. This notion is brought to life by considering ongoing budget disputes between the municipality of Halifax and the historic community of Africville. The physical infrastructure of Africville was destroyed by the municipality, and the people of Africville relocated in the name of urban revitalization. This sets the stage for stories of historical neglect, historical aggression, and historical romance. These serve as exemplar dramas of heterogeneity and history as an actor. The Africville budget stories may be seen as milieus performing as histories that are nested in one another. When we see that milieus pass into each other it is easier to articulate that ontological politics is at play, providing a space for critique. By positing that accounting is dramatic, this paper problematizes competition for budget resources. Municipal managers should recognize that they (whether they realize it or not) use history and traces of the past to develop durable images to unify actor networks. Such unified images are necessarily fictions. Budget managers are encouraged to question their histories and see accounting practice as dramatic historical performance rather than uncritically seeing it as mundane administrative practice.
TDOA collaborative localization algorithm based on PSO and Newton iteration in WGS 84 coordinate system
Venue: 2016 IEEE 13th International Conference on Signal Processing (ICSP)

In time difference of arrival (TDOA) location system, the cooperative localization algorithm based on Particle swarm optimization (PSO) and Taylor series not only solves the problem that particle swarm is easy to fall into local optimum, but also avoids the inappropriate initial value which leads to non convergence of Newton iterative algorithm. In practical applications, the coordinate information of observation station is usually obtained by GPS localization. Therefore, this paper proposed the influence of different site layouts on the positioning accuracy in WGS 84 coordinate system using collaborative localization method. Simulation results show that the cooperative localization algorithm has higher reliability and site layout has a great influence on the positioning accuracy of the cooperative localization algorithm. For the introduction of three types of site layout, collaborative localization algorithm in Triangle station layout has higher positioning accuracy.
An Improved Dynamic Round Robin CPU Scheduling Algorithm Based on Variant Time Quantum

Scheduling is considered one of the main factors that affect the performance of real time embedded systems. It plays a vital role by switching the CPU among several processes concentrating on maximizing the CPU utilization and throughput and minimizing the waiting time, turnaround time and number of context switching for a set of processes. Many algorithms are available for CPU scheduling such as First Come First Serve (FCFS) Shortest Job First (SJF) Round Robin (RR) Priority Scheduling etc. Among all these algorithms Round Robin is most popular and widely used algorithm for timesharing systems. This paper presents a new Improved Dynamic Round Robin approach (IDRR) to reduce the average waiting time and turnaround time. The proposed algorithm IDRR is also compared with various variants of Round Robin algorithm. It produces minimal average waiting time and average turnaround time.
Enhanced a TCP security protocol by using optional fields in TCP header

The Transfer Control Protocol (TCP) itself does not guarantee the security of data that it transmits. However, under some circumstances, the security of TCP communication is required, e.g. the client server communication in banking systems. Nowadays, the source socket layer (SSL) protocol is widely used; however, SSL is based on RSA (a public key cryptographic algorithm) algorithm, which would require more computational resource. Therefore, an alternative faster solution utilizing symmetrical algorithm (AES) are proposed to achieve these goals: bidirectional authentication, encrypted data transmission and Integrity check. Moreover, use the optional fields in TCP header for carrying related information and introduced a new device SAM (Secure access module) which provides security related functionalities: encryption, decryption, key diversification etc.
TCP/IP network protocols Security threats, flaws and defense methods
Venue: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom)

Nowadays with the very mention of usage of Internet, it is but understood that it is implemented, connected and run using TCP/IP reference architecture. The Internet, since its invention has evolved boundlessly. There are no units to measure the growth of the Internet over the last two decades. From being a small area of interests for a few researchers Internet has evolved to become a mammoth resource of information and data connecting the entire world. The Internet was allowed to grow so much because of the innumerable benefits it reaped for us. However, what one cannot ignore is the fact the Internet can, has and will be used for malicious purposes also. The TCP/IP protocols which were established in the initial days of the small Internet, now seriously lack the necessary security features needed in an insecure network connection. In this paper we talk about a few popular attacks which can be harmful for a TCP/IP protocol based Internet connection. Also we discussed some of the flaws which aid these attacks to be successfully implemented. With each of these attacks and flaws, we provide a possible defense method that can be used to prevent or avoid such attacks.