Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration: Knowledge Management and Business Intelligence

As business competition intensifies and the market environment becomes increasingly complex, more and more enterprises learn to make use of Knowledge Management (KM) and Business Intelligence (BI) in order to improve corporate decision-making capacity and efficiency. However, there is still not a unified view for the concept of KM and BI and the relationship between the two in academia and the business world, which may bring about confusion and errors in theory study and application. this paper is trying to provide a thorough analysis of the differences between BI and KM and to establish a framework for relating one field to the other. And it comes to a conclusion that in business management and decision-making process, both BI and KM must be effectively integrated to give full play to their complementary functions.
Fast and slow pyramidal tract neurons: an intracellular analysis of their contrasting repetitive firing properties in the cat.

1. Intracellular recordings were made from an estimated 500 neurons in the sensorimotor cortex of barbiturate-anesthetized cats. Of those which were antidromically identified from the medullary pyramids, 70 were selected which also exhibited steady repetitive firing to steps of current injected through the recording electrode; 81% were "fast" (conduction velocity greater than 20 m/s) and 19% were "slow". 2. As shown by earlier workers, the spike duration is a function of conduction velocity; a spike duration of 1.0 ms is the dividing line between fast and slow. 3. Of the 57 fast pyramidal tract neurons (PTNS), 14 exhibited double spikes during otherwise rhythmic firing patterns to a step of injected current. These very short interspike intervals (usually 1.5-2.5 ms) were first seen interspersed in a rhythmic discharge (e.g., 50-ms intervals) but, with further increases in current strength, would come to dominate the firing pattern; e.g., double spikes every 40 ms. Further increases in current would typically shorten only the long intervals; e.g., 40-30 ms, but some fast PTNS developed triple spikes, etc. 4. The extra spike appears to arise from a large hump which follows most spikes in fast PTNS; while this humplike "depolarising after-potential" can also be seen in slow PTNS, it is small. Extra spikes were seen only in fast PTNS with large postspike humps; in perhaps half of the fast PTNS, extra spikes probably contributed to "adaptation. " 5. Slow PTNS often had frequency-current curves which were not repeatable; a "hysteresis" phenomenon could often be seen, where the proportionality constant relating current to firing rate decreased following high firing rates. 6. The B spike was distinguishable from the A spike in differentiated antidromic spikes in 77% of the slow PTNS, in only 14% of the fast PTNS which later exhibited double spikes during current-induced repetitive firing, and in 53% of the other fast PTNS. 7. The antidromic spike heights of doublet PTNS were not significantly different from those of other repetitively firing PTNS.
Nonlinear Active Noise Control using NARX model structure selection

In this work a novel Nonlinear Active Noise Control (NANC) scheme is proposed to deal with reference and error microphone saturation issues. Polynomial NARX models are used in the adaptive controller for enhanced model flexibility. A suitable model selection approach is used off-line to find an accurate and compact model structure for the adaptive controller. The controller parameters are successively updated with an appropriate adaptive algorithm based on the error gradient and on the residual noise. Some simulation experiments are provided to show the effectiveness of the proposed approach compared to existing alternatives.
BADA-III/Web: integration of the Web and an OODBMS

We believe in terms of information service systems that one of the best ways to develop a large scale database service system is to integrate the service capability of the Web and the data management facility of database systems in a compliment and fashion. In such integration a database gateway is the core component; the database gateway accesses database systems to serve the requests represented by using the Web technology. BADA-III/Web is a gateway that integrates the service capability of the Web and an OODBMS called BADA-III in a complementary manner. We describe our design and implementation experience in integrating the Web and BADA-III, and also explore the effects of BADA-III/Web with some synthetic queries.
Logical Data Independence in the 21st Century – Co-Existing Schema Version Support with InVerDa

We present InVerDa, a tool for end-to-end support of coexisting schema versions within one database. While it is state of the art to run multiple versions of a continuously developed application concurrently, the same is hard for databases. In order to keep multiple co-existing schema versions alive—that all access the same data set—developers usually employ handwritten delta code (e.g. views and triggers in SQL). This delta code is hard to write and hard to maintain: if a database administrator decides to adapt the physical table schema, all handwritten delta code needs to be adapted as well, which is expensive and error-prone in practice. With InVerDa, developers use a simple bidirectional database evolution language in the first place that carries enough information to generate all the delta code automatically. Without additional effort, new schema versions become immediately accessible and data changes in any version are visible in all schema versions at the same time. We formally validate the correctness of this propagation. InVerDa also allows for easily changing the physical table designs without affecting the availability of co-existing schema versions. This greatly increases robustness (264 times less lines of code) and allows for significant performance optimization.
NetCDF-4 Performance Report

The netCDF-4 project has generated enormous interest in both the netCDF and HDF user communities, and substantial reductions in data storage space have been achieved with the netCDF-4 beta releases using the HDF5 compression options. The performance of netCDF-4 is also a critical factor for users of netCDF-3 (the latest version of netCDF) who are considering a move to netCDF-4. In particular, these users may ask:
Noncommutative GUT inspired theories and the UV finiteness of the fermionic four point functions

We show at one loop and first order in the noncommutativity parameters that in any noncommutative GUT inspired theory the total contribution to the fermionic four point functions coming only from the interaction between fermions and gauge bosons, though not UV finite by power counting, is UV finite at the end of the day. We also show that this is at odds with the general case for noncommutative gauge theories - chiral or otherwise - defined by means of Seiberg-Witten maps that are the same - barring the gauge group representation - for left-handed spinors as for right-handed spinors. We believe that the results presented in this paper tilt the scales to the side of noncommutative GUTS and noncommutative GUT inspired versions of the standard model.
Gene Losses during Human Origins

Pseudogenization is a widespread phenomenon in genome evolution, and it has been proposed to serve as an engine of evolutionary change, especially during human origins (the “less-is-more” hypothesis). However, there has been no comprehensive analysis of human-specific pseudogenes. Furthermore, it is unclear whether pseudogenization itself can be selectively favored and thus play an active role in human evolution. Here we conduct a comparative genomic analysis and a literature survey to identify 80 nonprocessed pseudogenes that were inactivated in the human lineage after its separation from the chimpanzee lineage. Many functions are involved among these genes, with chemoreception and immune response being outstandingly overrepresented, suggesting potential species-specific features in these aspects of human physiology. To explore the possibility of adaptive pseudogenization, we focus on CASPASE12, a cysteinyl aspartate proteinase participating in inflammatory and innate immune response to endotoxins. We provide population genetic evidence that the nearly complete fixation of a null allele at CASPASE12 has been driven by positive selection, probably because the null allele confers protection from severe sepsis. We estimate that the selective advantage of the null allele is about 0.9% and the pseudogenization started shortly before the out-of-Africa migration of modern humans. Interestingly, two other genes related to sepsis were also pseudogenized in humans, possibly by selection. These adaptive gene losses might have occurred because of changes in our environment or genetic background that altered the threat from or response to sepsis. The identification and analysis of human-specific pseudogenes open the door for understanding the roles of gene losses in human origins, and the demonstration that gene loss itself can be adaptive supports and extends the “less-is-more” hypothesis.
PENGARUH KUALITAS WEBSITE (WEBQUAL 4.0) TERHADAP KEPERCAYAAN DAN DAMPAKNYA PADA KEPUTUSAN PEMBELIAN PADA WEBSITE E-COMMERCE (Studi pada Konsumen PT. B)

This study aims to explain (1) The influence of Website Quality on Trust, (2) The influence of Website Quality on Purchase Decision, and (3) the influence of Trust on Purchase Decision. The research design of this study is explanatory research by using quantitative approach. The variables used on this study consist of Website Quality, Trust, and Purchase Decision. The population of this study are consumers of PT. B website who have bought in PT. B website at least once. The samples used on this study are 120 respondents chosen by using simple random sampling technique. Data collection is conducted through questionnaires, while data analysis used are descriptive and path analysis. The findings of path analysis showed that Website Quality significant ly influence d on Trust, Website Quality significant ly influence d on Purchase Decision and Trust was significant ly influence d on Purchase Decision. According to the research findings, it is recommended for PT. B to keep paying attention and considering the answers given by the respondents on open questions in this study since commonly the respondents think that there are much weaknesses in terms of quality and features on PT. B website. Kеywords: Website Quality, Trust, Purchase Decision, and WebQual 4.0. АBSTRАK Penelitian ini bertujuan untuk menjelaskan (1) pengaruh Kualitas Website terhadap Kepercayaan (2) pengaruh Kualitas Website terhadap Keputusan Pembelian (3) pengaruh Kepercayaan terhadap Keputusan Pembelian. Jenis penelitian ini adalah penelitan penjelasan ( explanatory research ) dengan menggunakan pendekatan kuantitatif. Variabel dalam penelitian ini terdiri dari Kualitas Website , Kepercayaan dan Keputusan Pembelian. Populasi dalam penelitian ini adalah konsumen website PT. B yang pernah berbelanja pada website PT. B setidaknya sebanyak satu kali. Sampel yang digunakan dalam penelitian ini sebanyak 120 orang responden yang diambil dengan menggunakan teknik sampling simple random sampling . Pengumpulan data dengan menggunakan kuesioner. Analisis data yang digunakan adalah analisis deksriptif dan analisis jalur ( path analysis ). Hasil analisis jalur ( path analysis ) menunjukkan bahwa Kualitas Website berpengaruh signifikan terhadap Kepercayaan, Kualitas Website berpengaruh signifikan terhadap Keputusan Pembelian, dan kepercayaan berpengaruh signifikan terhadap Keputusan Pembelian. Berdasarkan hasil penelitian ini disarankan kepada PT. B untuk terus untuk memperhatikan dan mempertimbangkan jawaban-jawaban yang diberikan oleh responden terhadap pertanyaan terbuka di dalam penelitian ini, dikarenakan umumnya responden masih merasakan banyaknya kekurangan pada kualitas dan juga fitur pada website PT. B Kаtа Kunci: Kualitas Website , Kepercayaan, Keputusan Pembelian dan WebQual 4.0.
Stochastic Switching Using OpenFlow

In this thesis, feasibility of performing stochastic switching using OpenFlow in SDN environments was investigated. In this work, stochastic switching is defined as forwarding incoming packets from ingress ports to one of possible egress ports according to the predefined output probabilities associated with each egress port. Different scenarios to perform stochastic switching using OpenFlow were examined and advantages and drawbacks of each scenario was outlined. Through the investigation, SELECT method of OpenFlow group feature was found useful to execute load sharing algorithms. Since there is not any predefined SELECT function in OpenFlow specifications, a SELECT function was defined to execute stochastic output port selection according to the predefined egress port probabilities assigned to each egress port for that specific packet or flow. The defined SELECT function was implemented in an OpenFlow 1.3 enabled virtual switch (OF13SoftSwitch) in Mininet software emulator. The results of conducted tests revealed that the defined SELECT method works properly. The results of this thesis might contribute to future research on developing stochastic routing module in OpenFlow controller in the SDN architecture.
Parasympathetic Activity and Blood Catecholamine Responses Following a Single Partial-Body Cryostimulation and a Whole-Body Cryostimulation

The aim of this study was to compare the effects of a single whole-body cryostimulation (WBC) and a partial-body cryostimulation (PBC) (i.e., not exposing the head to cold) on indices of parasympathetic activity and blood catecholamines. Two groups of 15 participants were assigned either to a 3-min WBC or PBC session, while 10 participants constituted a control group (CON) not receiving any cryostimulation. Changes in thermal, physiological and subjective variables were recorded before and during the 20-min after each cryostimulation. According to a qualitative statistical analysis, an almost certain decrease in skin temperature was reported for all body regions immediately after the WBC (mean decrease±90% CL, -13.7±0.7°C) and PBC (-8.3±0.3°C), which persisted up to 20-min after the session. The tympanic temperature almost certainly decreased only after the WBC session (-0.32±0.04°C). Systolic and diastolic blood pressures were very likely increased after the WBC session, whereas these changes were trivial in the other groups. In addition, heart rate almost certainly decreased after PBC (-10.9%) and WBC (-15.2%) sessions, in a likely greater proportion for WBC compared to PBC. Resting vagal-related heart rate variability indices (the root-mean square difference of successive normal R-R intervals, RMSSD, and high frequency band, HF) were very likely increased after PBC (RMSSD: +54.4%, HF: +138%) and WBC (RMSSD: +85.2%, HF: +632%) sessions without any marked difference between groups. Plasma norepinephrine concentrations were likely to very likely increased after PBC (+57.4%) and WBC (+76.2%), respectively. Finally, cold and comfort sensations were almost certainly altered after WBC and PBC, sensation of discomfort being likely more pronounced after WBC than PBC. Both acute cryostimulation techniques effectively stimulated the autonomic nervous system (ANS), with a predominance of parasympathetic tone activation. The results of this study also suggest that a whole-body cold exposure induced a larger stimulation of the ANS compared to partial-body cold exposure.
A Survey on Gas Sensing Technology

Sensing technology has been widely investigated and utilized for gas detection. Due to the different applicability and inherent limitations of different gas sensing technologies, researchers have been working on different scenarios with enhanced gas sensor calibration. This paper reviews the descriptions, evaluation, comparison and recent developments in existing gas sensing technologies. A classification of sensing technologies is given, based on the variation of electrical and other properties. Detailed introduction to sensing methods based on electrical variation is discussed through further classification according to sensing materials, including metal oxide semiconductors, polymers, carbon nanotubes, and moisture absorbing materials. Methods based on other kinds of variations such as optical, calorimetric, acoustic and gas-chromatographic, are presented in a general way. Several suggestions related to future development are also discussed. Furthermore, this paper focuses on sensitivity and selectivity for performance indicators to compare different sensing technologies, analyzes the factors that influence these two indicators, and lists several corresponding improved approaches.
Do users write about the system in use?: an investigation from messages in natural language on Twitter

Social Network Sites have grown considerably in recent years. Studies have revealed that users write in Social Systems about services, opinions or facts concerning personal life. However, no studies have been found regarding the following question: Do users write about the system in use? How? Is it valid to evaluate the users experience in Social Network Sites through their written texts? A methodology to search for postings of users on Twitter was used, composed of filters which combine patterns which may be related to the use of the system. The results have shown evidence that some messages posted in these types of systems are about the system in use. As a contribution, we presented some characteristics of the messages of the users of social networking sites in order to facilitate the understanding of its usage experience.
A NOVEL MICROARRAY GENE RANKING AND CLASSIFICATION USING EXTREME LEARNING MACHINE ALGORITHM

The research studies the suitability of Extreme Learning Machines (ELM) for resolving bioinformatics and biomedical classification problems. It is used for some direct multicategory classification to solve those problems. The cancer diagnosis has three benchmark microarray datasets for evaluated the multi-category classification performance of ELM. In order to test their overall performance, an experimental study is presented based on three gene microarray datasets found in bioinformatics and biomedical domains. This research work use this ELM for quick performance and it is better accuracies. The result can be produces with minimum time compared to artificial neural networks methods. This method shows promising classification accuracy for all the test data sets. It also shows the relevance of the selected genes in terms of their biological functions.
Novelty Detection Model Selection Using Volume Estimation

In this paper, we present an approach to selecting models for novelty (outlier) detection. Our approach minimizes the risk of accepting outliers at a fixed normal rejection rate, under the assumption that the distribution of abnormal (outlier) data is uniformly distributed in some bounded region of the input space. This risk is minimized by selecting the model with the smallest volume acceptance region, using a randomized volume estimation algorithm. The volume estimation algorithm can estimate the volume of a body in high-dimensional space and scales polynomially in dimension with the number of calls to the model. We have performed extensive experiments which show that the combined model selection criteria are able to select not only the best models from a given model class, but also among all model classes. Novelty Detection Model Selection Using Volume Estimation Edward Meeds Department of Computer Science, University of Toronto
A Modified Coding Technique For High Peak-To-Average Power Ratio Reduction

Orthogonal Frequency Division Multiplexing System (OFDM) suffers from the problem of high peak to average power ratio reduction (PAPR). It is studied that Golay complementary codes (GCC) can provide codewords with low PAPR. However, the usefulness of this coding technique is limited to the OFDM with a small number of subcarriers. With the help of certain theorems and definitions, this paper discusses a modified GCC technique to combat the effect of high PAPR and achieve higher code rate and information rate for 16QAM OFDM system. KeywordsGCC, OFDM, PA, PAPR, QAM, RGCC.
Architecture for High Confidence Cloud Security Monitoring

Operational security assurance of a networked system requires providing constant and up-to-date evidence of its operational state. In a cloud-based environment we deploy our services as virtual guests running on external hosts. As this environment is not under our full control, we have to find ways to provide assurance that the security information provided from this environment is accurate, and our software is running in the expected environment. In this paper, we present an architecture for providing increased confidence in measurements of such cloud-based deployments. The architecture is based on a set of deployed measurement probes and trusted platform modules (TPM) across both the host infrastructure and guest virtual machines. The TPM are used to verify the integrity of the probes and measurements they provide. This allows us to ensure that the system is running in the expected environment, the monitoring probes have not been tampered with, and the integrity of measurement data provided is maintained. Overall this gives us a basis for increased confidence in the security of running parts of our system in an external cloud-based environment.
Gaze-contingent real-time simulation of arbitrary visual fields

We describe an algorithm and software for creating variable resolution displays in real time, contingent upon the direction of gaze. The algorithm takes as input a video sequence and an arbitrary, real-valued, two-dimensional map that specifies a desired amount of filtering (blur) at each pixel location relative to direction of gaze. For each input video image the follow operations are performed: (1) the image is coded as a multi-resolution pyramid, (2) the gaze direction is measured, (3) the resolution map is shifted to the gaze direction, (4) the desired filtering at each pixel location is achieved by interpolating between levels of the pyramid using the resolution map, and (5) the interpolated image is displayed. The transfer function associated with each level of the pyramid is calibrated beforehand so that the interpolation produces exactly the desired amount of filtering at each pixel. This algorithm produces precision, artifact-free displays in 8-bit grayscale or 24-bit color. The software can process live or prerecorded video at over 60 frames per second on ordinary personal computers without special hardware. Direction of gaze for each processed video frame may be taken from an eye-tracker, from a sequence of directions saved on disk, or from another pointing device (such as a mouse). The software is demonstrated by simulating the visual fields of normals and of patients with low vision. We are currently using the software to precisely control retinal stimulation during complex tasks such as extended visual search.
Secure Live VM Migration in Cloud Computing: A Survey

Cloud computing (CC) refers to delivering applications, platform used to execute user application and Infrastructure to fulfill user hardware requirement as a service over internet. Virtual Machine (VM) is normally stored on Datacenters who consist of set of physical servers where VM is executing to fulfill service when gets accessed by end user. VM controlled by hypervisor also termed as VM Monitor (VMM). VMM manages VM execution, decides which VM to be selected for migration and how VM to be migrated. VM migration can be done by considering centralize VM migration or distributed approach. Once Migration decision done a caution need to be needed whether a VM to be transferred is free from attack, and the destination where VM is about to migrate is safe to execute on destination server. Considered a VM page is open to attack, it can be compromised by end world, also a destination server.