Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Strategies for Enhanced Business Performance in Cloud based IT Industries

Emergence of sophisticated technologies in IT industries has posed several challenges such as production of products using advanced technical process for instance Result Orientation Approach, Deployment, Assessment and Refinement (RADAR) in a dynamic and competitive environment. The key challenge for any engineer is therefore to develop process and products which ultimately lead towards total customer satisfaction. Recent development in technology has driven most of the IT industries to operate in the cloud environment due to reduced infrastructure investment and maintenance overheads. However, existing process in cloud lacks efficient multiple service paradigms that can provide improved business gain. Thus, it is the responsibility of every engineer to contribute towards effective and efficient techniques and models that can enhance the business performance. The position of this paper is to present several major issues prevailing in the IT industries such as delay time, response time, performance etc., which call for immediate attention in order to position themselves in the market. Further, this paper provides improved strategies through efficient job scheduling and modified resource allocation techniques for aforementioned issues in order to enhance the business performance in cloud-based IT sectors. The simulated results provided in this paper indicate the impact of enhanced solutions incorporated in the job processing strategies. They further enable better performance of the cloud with reduced delay and response time resulting towards improved throughput. Subsequently, it increases the job acceptance ratio with respect to time and thereby leading the industry to accomplish total customer satisfaction in addition to the continued sustainability in the competitive business market.
Nonparametric Regression Analysis for Group Testing Data

Group testing is a procedure used to reduce the cost and increase the speed of large screening studies in which infection or contamination of individuals is detected by a test carried out on a sample of, for example, blood, urine, or water. Instead of testing the sample of each individual, the method involves pooling samples of groups of several individuals and testing those pooled samples. We construct a nonparametric procedure for estimating the conditional probability of contamination given an explanatory variable when the observations are pooled data of this type. We investigate asymptotic theoretical properties of the estimator and establish its consistency. The procedure requires selecting an important smoothing parameter, and we suggest a way to do this automatically from the data. We illustrate the numerical performance of the method on some simulated examples and on data from the National Health and Nutrition Examination Survey. We discuss extensions of the procedure to cases where the test is imprecise and the covariates are observed inaccurately, and to the multivariate setting. Supplemental materials including proofs, R codes, and additional simulation results are available from the online JASA website.
An example of mapping the degradation of network parameters with video QoE parameters in case of IPTV service

This paper aims to consider how changes in QoS (Quality of Service) indicators affect the quality of IPTV (Internet Protocol Television) video. Degradation of QoS indicators can occur at any point in time, when the value of transfer channel function changes or if there is an appearance of additional noise. Therefore, for this purpose it is necessary to conduct a temporal analysis of the impact of the QoS indicator degradation on the delivery of MM (Multimedia) service in real time. Also, the phenomenon of degradation of QoS can be associated with queues, flow control or with analog-to-digital conversions that occur on the network elements. The combination of all these phenomena in the higher layers of the OSI (Open System Interconnection) reference model can be identified as packet loss, delay or jitter, and this paper examines their impact on the level of video perception by the end consumer. That perception can be identified as QoE (Quality of Experience).
Development of Patchouli Extraction with Quality Control and Isolation of Active Compounds with Antibacterial Activity

Patchouli (Pogostemon cablin), is a shrub with fragrant-smelling leaves from which patchouli oil is extracted. The oil has properties suitable for aromatherapy, relief of stress and anti-inflammatory activity. Water-steam distillation is the best method for extraction of patchouli oil. Fresh patchouli leaves gave much lower yield than dried leaves. Dried leaves fermented for 77 days at room temperature produced the highest yield (2.48% dry wt), which was much higher than from drying in an oven at 50°C for 40 h (0.30% dry wt). Soxhlet extraction of dried patchouli leaves with hexane for 15 h provided crude hexane extract (4.97% dry wt). The hexane extract was further separated and purified to obtain patchouli alcohol (0.05% dry wt), a mixture of β-sitosterol and stigmasterol (0.09% dry wt) and 7,3′,4tri-O-methyleriodictyol (0.04% dry wt). Antibacterial activity assay showed that patchouli oil could inhibit Staphylococcus aureus and Bacillus subtilis better than the hexane extract. Patchouli alcohol, a major component in patchouli oil, and the extract showed higher antibacterial activity than the mixture of β-sitosterol and stigmasterol and 7,3′,4-tri-O-methyleriodictyol. Therefore, patchouli alcohol could be used as a marker for quality control of patchouli oils and the extracts. Quantitative determination of patchouli alcohol in the patchoulil oils and the hexane extract was performed by GC-MS using the new optimum conditions. The results showed that patchouli oil contained more patchouli alcohol than the hexane extract. Time of leaf harvesting (3 months, 6 months and 9 months) was also important. Threemonth harvesting of patchouli leaves gave the highest amount of patchouli oil and patchouli alcohol.
A risk assessment approach for power system with significant penetration levels of wind power generation

The increasing penetration of renewable energy, particularly wind power, raises the need for investigating alternatives to current power system planning and operation approaches due to the uncertain nature of the intermittent generation. This paper proposes a risk assessment approach to evaluate power system security for short-term operation planning under significant penetration of wind power. A composite risk index, which reflects both the probability and consequences of contingencies as well as system uncertainties caused by demand and wind generation forecasting errors, is used to assess the system security. To examine the applicability of the proposed approach, it is applied to a modified IEEE 14-bus system, and compared with traditional deterministic security assessment methods. The results show that the proposed probabilistic approach effectively deals with the system uncertainties, and can provide a more realistic assessment of the system security.
Specificity of Serum Creatine Kinase Isoenzymes in Diagnosis of Acute Myocardial Infarction

A study of the diagnostic value of serum creatine kinase (CK) isoenzymes showed that MB isoenzyme, which characterizes heart tissue, was a specific and sensitive indicator of acute myocardial infarction. In cases where the clinical picture was complicated by ventricular tachycardia, severe congestive failure, shock, or resuscitation procedures heart, liver, and muscle enzymes were increased. There was also an increase in lactate dehydrogenase isoenzyme values in these cases; indeed, the only enzyme test that correlated well with electrocardiographic and necropsy findings was the MB isoenzyme.
The effect of ochre suppression on meiosis and ascospore formation in Saccharomyces.

The effect of altered tyrosyl-tRNAs on the developmental process of sporulation was examined. Mutations in eight independent loci resulting in tyrosine-inserting nonsense suppressor were tested for their effects on sporulation. Different levels of inhibition were found ranging from SUP3-omicron, which caused the greatest reduction of sporulation (7-17% of wild type), to SUP11-omicron which caused no reduction in sporulation. Since the SUP3-omicron mutation exhibited the greatest effect, it was studied in detail. Although SUP3-omicron is a dominant nonsense suppressor, its effect on sporulation is recessive. Expression of the sporulation deficiency is dependent upon the stage of transfer from glucose growth medium (i.e., log, early stationary, etc.) to sporulation medium. SUP3-omicron/SUP3-omicron diploid cells transferred from log or early stationary phase are capable of sporulation, whereas cells transferred after early stationary phase (i.e., after adaptation to respiration) exhibit poor sporulative ability. Sporulation events were examined under restrictive conditions to observe those events completed by SUP3-omicron/SUP3-omicron diploids. The early events of sporulation occur in these cells. Later events are completed by progressively fewer cells. Premeiotic DNA synthesis occurred in approximately 40% of the cells, nuclear segregation occurred in 20%, and finally, only 2% formed asci. The fact that fewer late-sporulation events occur under restrictive conditions can be explained by increased efficiency of suppression.
A Revisit to Contingency Table and Tests of Independence: Bootstrap is Preferred to Chi-Square Approximations as Well as Fisher’s Exact Test

To test the mutual independence of two qualitative variables (or attributes), it is a common practice to follow the Chi-square tests (Pearson’s as well as likelihood ratio test) based on data in the form of a contingency table. However, it should be noted that these popular Chi-square tests are asymptotic in nature and are useful when the cell frequencies are “not too small. ” In this article, we explore the accuracy of the Chi-square tests through an extensive simulation study and then propose their bootstrap versions that appear to work better than the asymptotic Chi-square tests. The bootstrap tests are useful even for small-cell frequencies as they maintain the nominal level quite accurately. Also, the proposed bootstrap tests are more convenient than the Fisher’s exact test which is often criticized for being too conservative. Finally, all test methods are applied to a few real-life datasets for demonstration purposes.
Approaching the limit of switching loss reduction in Si-IGBTs

This paper reports on the reduction limit of switching loss in Si-IGBTs without increasing the on-state voltage. We focused on surge decrease and turn-off loss saturation with small gate resistance. It became clear that the surge decrease derives from a dynamic avalanche adjacent to the trench bottom and leads to the turn-off loss saturation. This avalanche phenomenon is suppressed by the reduction of the electric field and positive space charge near the trench bottom. A 20 % improvement in the trade-off relation with small gate resistance was realized by the suppression of the dynamic avalanche, which is close to the turn-off loss reduction limit.
Distinction of species and strains of mycoplasmas (mollicutes) by genomic DNA fingerprints with an rRNA gene probe

Genomic fingerprints of Acholeplasma laidlawii, Mycoplasma hominis, and Mycoplasma pneumoniae strains were obtained by Southern blot hybridization of the digested mycoplasmal DNAs with an rRNA gene probe. The hybridization patterns revealed genotypic heterogeneity among A. laidlawii and M. hominis strains and a remarkable degree of homogeneity among M. pneumoniae strains isolated from pneumonia patients during a 10-year period. Genomic fingerprints with the rRNA gene probe can thus serve as indicators of intraspecies genetic homogeneity or heterogeneity and can provide a new, sensitive tool for strain identification with a potential for application in epidemiology.
Metabolic Engineering of Escherichia coli for l-Tyrosine Production by Expression of Genes Coding for the Chorismate Mutase Domain of the Native Chorismate Mutase-Prephenate Dehydratase and a Cyclohexadienyl Dehydrogenase from Zymomonas mobilis

ABSTRACT The expression of the feedback inhibition-insensitive enzyme cyclohexadienyl dehydrogenase (TyrC) from Zymomonas mobilis and the chorismate mutase domain from native chorismate mutase-prephenate dehydratase (PheACM) from Escherichia coli was compared to the expression of native feedback inhibition-sensitive chorismate mutase-prephenate dehydrogenase (CM-TyrAp) with regard to the capacity to produce l-tyrosine in E. coli strains modified to increase the carbon flow to chorismate. Shake flask experiments showed that TyrC increased the yield of l-tyrosine from glucose (Yl-Tyr/Glc) by 6.8-fold compared to the yield obtained with CM-TyrAp. In bioreactor experiments, a strain expressing both TyrC and PheACM produced 3 g/liter of l-tyrosine with a Yl-Tyr/Glc of 66 mg/g. These values are 46 and 48% higher than the values for a strain expressing only TyrC. The results show that the feedback inhibition-insensitive enzymes can be employed for strain development as part of a metabolic engineering strategy for l-tyrosine production.
Establishing the dose of the oral NK1 antagonist aprepitant for the prevention of chemotherapy‐induced nausea and vomiting

The neurokinin‐1 antagonist aprepitant (EMEND™; Merck Research Laboratories, West Point, PA) has been shown to reduce chemotherapy‐induced nausea and vomiting when it is given with a 5‐hydroxytryptamine‐3 receptor antagonist and dexamethasone. The current study sought to define the most appropriate dose regimen of oral aprepitant.
Global Feature Properties by Image Modifications and Variations

In this paper, we examine the properties of some typical instance of global image features to provide clues to image retrieval by efficient selection of them as content. It is performed by calculating the feature difference between images including variously transformed images. Image data might be caused image variations by typical modification or deterioration originated from image collection process. We intend to classify the transformed images as identical group and investigate the appropriate kind of feature which is robust against the image variation and difference measuring method distinguishable from other group. The result can be applied for image identification against environmental modifications or identical photographic image grouping working with local feature.
Targeted Disruption of CDK4 Delays Cell Cycle Entry with Enhanced p27Kip1 Activity

ABSTRACT The mechanism by which cyclin-dependent kinase 4 (CDK4) regulates cell cycle progression is not entirely clear. Cyclin D/CDK4 appears to initiate phosphorylation of retinoblastoma protein (Rb) leading to inactivation of the S-phase-inhibitory action of Rb. However, cyclin D/CDK4 has been postulated to act in a noncatalytic manner to regulate the cyclin E/CDK2-inhibitory activity of p27Kip1 by sequestration. In this study we investigated the roles of CDK4 in cell cycle regulation by targeted disruption of the mouse CDK4gene. CDK4 −/− mice survived embryogenesis and showed growth retardation and reproductive dysfunction associated with hypoplastic seminiferous tubules in the testis and perturbed corpus luteum formation in the ovary. These phenotypes appear to be opposite to those of p27-deficient mice such as gigantism and gonadal hyperplasia. A majority of CDK4 −/− mice developed diabetes mellitus by 6 weeks, associated with degeneration of pancreatic islets. Fibroblasts from CDK4 −/−mouse embryos proliferated similarly to wild-type embryonic fibroblasts under conditions that promote continuous growth. However, quiescentCDK4 −/− fibroblasts exhibited a substantial (∼6-h) delay in S-phase entry after serum stimulation. This cell cycle perturbation by CDK4 disruption was associated with increased binding of p27 to cyclin E/CDK2 and diminished activation of CDK2 accompanied by impaired Rb phosphorylation. Importantly, fibroblasts from CDK4 −/− p27−/−embryos displayed partially restored kinetics of the G0-S transition, indicating the significance of the sequestration of p27 by CDK4. These results suggest that at least part of CDK4’s participation in the rate-limiting mechanism for the G0-S transition consists of controlling p27 activity.
The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved

Internet of Things (IoT) is an increasingly popular technology that enables physical devices, vehicles, home appliances, etc., to communicate and even inter operate with one another. It has been widely used in industrial production and social applications including smart home, healthcare, and industrial automation. While bringing unprecedented convenience, accessibility, and efficiency, IoT has caused acute security and privacy threats in recent years. There are increasing research works to ease these threats, but many problems remain open. To better understand the essential reasons of new IoT threats and the challenges in current research, this survey first proposes the concept of “IoT features. ” Then, we discuss the security and privacy effects of eight IoT features including the threats they cause, existing solutions to threats and research challenges yet to be solved. To help researchers follow the up-to-date works in this field, this paper finally illustrates the developing trend of IoT security research and reveals how IoT features affect existing security research by investigating most existing research works related to IoT security from 2013 to 2017.
Self-Localization Schemes for Geographic Routing in Wireless Sensor Networks

Geographic routing a.k. a. location aided routing for mobile ad hoc networks is popular for being able to meet the challenging issue of scalability and efficiency in dynamic networks. In the analysis of geographic routing, it is assumed that all the nodes know their location. On the other hand, localization for WSNs is another challenging research area. As localization error can hinder geographic routing performance significantly, it is essential to have a combined evaluation of localization and geographic routing to understand the tradeoffs among different self-localization schemes for location based routing in WSNs. In this paper, several practical localization methods are evaluated for their suitability to geographic routing by extensive simulations.
Isolation and Characterization of cul1-7, a Recessive Allele of CULLIN1 That Disrupts SCF Function at the C Terminus of CUL1 in Arabidopsis thaliana

Many aspects of plant biology depend on the ubiquitin proteasome system for degradation of regulatory proteins. Ubiquitin E3 ligases confer substrate specificity in this pathway, and SCF-type ligases comprise a major class of E3s. SCF ligases have four subunits: SKP1, CUL1, RBX1, and an F-box protein for substrate recognition. The Aux/IAAs are a well-characterized family of SCF substrates in plants. Here, we report characterization of a mutant isolated from a genetic screen in Arabidopsis thaliana designed to identify plants defective in degradation of an Aux/IAA fusion protein, Aux/IAA1-luciferase (IAA1-LUC). This mutant exhibited fourfold slower IAA1-LUC degradation compared with the progenitor line, and seedlings displayed altered auxin responses. Experiments identified the mutant as an allele of CUL1, named cul1-7. The cul1-7 mutation affects the C terminus of the protein, results in reduced cul1-7 levels, and interferes with RBX1 interaction. cul1-7 seedlings are defective in degradation of an endogenous SCF substrate, Repressor of ga1-3 (RGA), and have altered responses to gibberellins. cul1-7 seedlings exhibit slower degradation of the light-labile red/far-red photoreceptor phytochrome A and are photomorphogenic in the dark. This mutation represents the first reported allele of CUL1 to directly affect subunit interactions at the CUL1 C terminus.
Assessing Computer Anxiety

A study was conducted to develop a scale for assessing computer anxiety. The scale was administered to 152 psychology students. The responses were then subjected to both item and principal components analysis. Computer anxiety was significantly and negatively correlated –. 48 with the total amount of experience individuals had had with computers. Graduate and undergraduate students did not differ significantly in anxiety. When controlling for amount of experience with computers, clinical psychology students reported more anxiety than industrial-organizational psychology students, but men and women did not differ significantly in anxiety.
Fuzzy c-means clustering algorithm for directional data ( FCM 4 DD )

Cluster analysis is a useful tool used commonly in data analysis. The purpose of cluster analysis is to separate data sets into subsets according to their similarities and dissimilarities. In this paper, the fuzzy c-means algorithm was adapted for directional data. In the literature, several methods have been used for the clustering of directional data. Due to the use of trigonometric functions in these methods, clustering is performed by approximate distances. As opposed to other methods, the FCM4DD uses angular difference as the similarity measure. Therefore, the proposed algorithm is a more consistent clustering algorithm than others. The main benefit of FCM4DD is that the proposed method is effectively a distribution-free approach to clustering for directional data. It can be used for N-dimensional data as well as circular data. In addition to this, the importance of the proposed method is that it would be applicable for decision making process, rule-based expert systems and prediction problems. In this study, some existing clustering algorithms and the FCM4DD algorithm were applied to various artificial and real data, and their results were compared. As a result, these comparisons show the superiority of the FCM4DD algorithm in terms of consistency, accuracy and computational time. Fuzzy clustering algorithms for directional data (FCM4DD and FCD) were compared according to membership values and the FCM4DD algorithm obtained more acceptable results than the FCD algorithm. © 2016 Elsevier Ltd. All rights reserved. M f ( t a w m M c B t b ( l M m s ( p C
The diagnostic role of cardiac magnetic resonance used “first and last time in life” in a patient with a suspected dilated phase of hypertrophic cardiomyopathy

A 38-year-old female patient with neither diagnosis nor family history of any heart disease was admitted to the regional hospital with sustained ventricular tachycardia (220 bpm). Tachyarrhythmia was successfully treated with intravenous amiodarone. Total time of sustained ventricular tachycardia was no more than 1 h (from the start of symptoms at home to the end of arrhythmia in the emergency department in a regional hospital). The pulmonary congestion was revealed both in physical and X-ray examination. Extremely high levels of high-sen-sitivity troponin I (> 40 000 ng/l) as well as NT-proBNP (21 055 pg/ml) were detected. In control sampling after several days the level of troponin I was still very high: 39 185 ng/l. The patient was transferred to our tertia-ry center where in the face of a prolonged period of an extremely high level of troponin I, the decision to per-form coronary angiography was made. The coronary artery angiogram was normal. Echocardiography revealed myocardial hypertrophy and