Miracle-dz/UniFAR-FTUs huggingface dataset:
International Journal of Science and Business

The behavior of consumers regarding smartphones is more and more a center of marketing research. Especially, consumer behavior in the case of the smartphone industry, from selection motivation to after use behavior has become a center of research in marketing. The outcomes of this study confirm that the regulatory focus has an impact on consumer behavior regarding smartphone procure decisions by controlling their perception, rationale, and lifestyle. For consumers’ smartphones have become crucial parts of life. This study is to analyze factors that affect a consumer’s decision in buying a smartphone. The study also emphasizes consumer points of view for smartphones and the impact brand name has on consumers. The current growth of smartphone usage is a noticeable fact that goes across all gender and age divides. Hence, this study exhibits a quantitative analysis of some of the key factors that affect consumer’s viewpoints and behaviors regarding smartphone purchases. IJSB Accepted 28 June 2020 Published 29 June 2020 DOI: 10.5281/zenodo.3921991
INCREASING THE THROUGHPUT USING EIGHT STAGE PIPELINING

Using re-programmable logic components along with HDL languages encompasses wider and wider areas of practical applications, becoming a standard of complex digital system design. One of the basic tasks, which are to be carried out in the process of design, is obtaining the highest efficiency of the solution under design. Thereby designers are still looking for methods making it possible to speed up design processing time. Pipelining mechanism is one of these methods. It helps to speed up some dedicated operations. In the early stage of design, a given unit described by high level language, is divided into some independent parts, which are synchronized with each other via intermediate registers and synchronization signal (pipelining mechanism). 8-stage pipelining is the key implementation technique used to make fast CPUs. It is an optimization technique used to speed up instruction execution. Throughput of an instruction pipeline is increased while latency is decreased for each instruction execution. This new 8-stage pipelining includes two instruction fetch, one instruction decode, two execution, two memory and one write back stages. It describes advantages of both speed and suitability for synthesizable RISC design.
[Re] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

We have used the code provided by [1] with some customization for reproducibility. In addition to making the codebase more modular and easy to navigate, we have made changes to incorporate different transformers in the question embeddingmodule. QuestionAnswering models were trained from scratch as no pre-trained models were available for our particular dataset. The code for this work is available on GitHub (See page footer for the link).
PREVALENCE OF AEROBIC SPORE FORMING BACILLI WITH SPECIAL REFERENCE TO BACILLUS CEREUS IN YOGHURT AND RICE BUDDING

budding samples respectively were 5.3x10 4 and4.6x10 5 , while Bacillus cereus could be isolated from 12 (40%) and 22 (73%) with mean counts of 1.3x10 3 and 1.6x10 5 of the examined samples, respectively. Out of 60 Bacillus spp. isolated from examined yoghurt samples, Bacillus licheniformis was predominating and comprising 23(38%) while 9 (15%) isolates proved to be Bacillus cereus and on the other hand Bacillus cereus was predominating other Bacillus spp. isolated from rice budding samples 25(42%). 20 (80%) out of 25 Bacillus cereus obtained from rice budding samples possessed proteolytic activity compared to 5 (55.5%) isolates from yoghurt samples. Results were discussed in the context of present microbiological specifications and the need for its implementation by regulatory agencies to ward off possible health hazards arising from these microorganisms.
Monitoring of mental workload levels during an everyday life office-work scenario

Personal and ubiquitous healthcare applications offer new opportunities to prevent long-term health dam- age due to increased mental workload by continuously monitoring physiological signs related to prolonged high workload and providing just-in-time feedback. In order to achieve a quantification of mental load, different load levels that occur during a workday have to be discrimi- nated. In this work, we present how mental workload levels in everyday life scenarios can be discriminated with data from a mobile ECG logger by incorporating individual calibration measures. We present an experiment design to induce three different levels of mental workload in cali- bration sessions and to monitor mental workload levels in everyday life scenarios of seven healthy male subjects. Besides the recording of ECG data, we collect subjective ratings of the perceived workload with the NASA Task Load Index (TLX), whereas objective measures are asses- sed by collecting salivary cortisol. According to the sub- jective ratings, we show that all participants perceived the induced load levels as intended from the experiment design. The heart rate variability (HRV) features under investigation can be classified into two distinct groups. Features in the first group, representing markers associated with parasympathetic nervous system activity, show a decrease in their values with increased workload. Features in the second group, representing markers associated with sympathetic nervous system activity or predominance, show an increase in their values with increased workload. We employ multiple regression analysis to model the relationship between relevant HRV features and the subjective ratings of NASA-TLX in order to predict the mental workload levels during office-work. The resulting predictions were correct for six out of the seven subjects. In addition, we compare the performance of three classifica- tion methods to identify the mental workload level during office-work. The best results were obtained with linear discriminant analysis (LDA) that yielded a correct classi- fication for six out of the seven subjects. The k-nearest neighbor algorithm (k-NN) and the support vector machine (SVM) resulted in a correct classification of the mental workload level during office-work for five out of the seven subjects.
International Journal of Scientific Research in Science and Technology

Lactobacillus species are normally found in human digestive and urinary tracts. In this study, the capability of probiotic strains to grow in media using banana peel waste as an alternative carbohydrate source was investigated. Lactic acid bacteria were isolated using homemade curd, banana peel powder was made using an alternate drum drier technique and used as a fermentation media on which strain of probiotic, Lactobacillus sp. were grown. The result showed that bacterial growth using banana peel powder obtained at 370C under anaerobic condition (23 days), was comparable to growth seen in MRS medium. It can be concluded that the banana peel powder can be utilized to produce culture medium for cultivation of probiotic bacteria as a substitute to MRS medium which is expensive for cultivating probiotics. This will not only result in cost reduction of probiotic from cheap, inexpensive Agro-waste material, but also helps in solving the environmental pollution problem caused by their extensive disposal. The capability of Lactobacillus sp. to degrade dye was also investigated. Lactobacilli was incorporated under anaerobic condition in the M9 media containing the dye. The dye degrading capability of Lactobacillus sp was estimated colorimetrically at 520nm. The result showed a decrease in the dye concentration obtained at 37oC under anaerobic condition. So, it can be concluded that the Lactobacillus strain can be used for the bioremediation of dyes.
Wide-bandgap semiconductor based power converters for renewable energy systems

The demand for low carbon economy and limited fossil resources for energy generation drives the research on renewable energy sources and the key technology for utilisation of renewable energy sources: power electronics. Innovative inverter topologies and emerging WBG semiconductor based devices at 600 V blocking class are the enabling technologies for more efficient, reliable and accessible photovoltaic based electricity generation. This thesis is concerned with the impact of WBG semiconductor based power devices on residential scale PV inverter topologies in terms of efficiency, volume reduction and reliability. The static and dynamic characterisation of the Si and WBG based devices are carried out, gate drive requirements are assessed and experimental performance comparison in a single phase inverter is discussed under wide range of operating conditions. The optimisation of GaN HEMT based single phase inverter is conducted in terms of converter efficiency, switching frequency and converter volume. The long term mission-profile based analysis of GaN and Si based devices is conducted and impact of WBG devices under low and high switching frequency conditions in terms of power loss and thermal loading are presented. Finally, a novel five-level hybrid inverter topology based on WBG devices is proposed, simulated and experimentally verified for higher power applications.
Heterogeneous Wireless Sensor Network Simulation

- Based on our previous work on the development of a Wireless Sensor Network (WSN) simulation platform, we present here its ability to run simulations on heterogeneous nodes. This platform allows system-level simulations with low level accurate models, with graphical inputs and outputs to easily simulate such distributed systems. In the testbed we consider, the well known IEEE 802.15. 4 standard is used, and different microcontrollers units (MCU) and radiofrequency transceivers compose the heterogeneous nodes. It is also possible to simulate complex networks or inter-acting networks; that is a more realistic case, as more and more hardware devices exist and standards permit their interoperability. This simulation platform can be used to explore design space in order to find the hardware devices and IEEE 802.15. 4 algorithm that best fit a given application. Packet Delivery Rate (PDR) and packet latency can be evaluated, as other network simulators do. Energy consumption of sensor nodes is detailed with a very fine granularity: partitioning over and into hardware devices that compose the node is studied.
Influence of the protein environment on the redox potentials of flavodoxins from Clostridium beijerinckii *

The flavin mononucleotide (FMN) quinones in flavodoxin have 2 characteristic redox potentials, namely, Em(FMNH/FMNH) for the one-electron reduction of the protonated FMN (E1) and Em(FMN/FMNH) for the proton-coupled one-electron reduction (E2). These redox potentials in native and mutant flavodoxins obtained from Clostridium beijerinckii were calculated by considering the protonation states of all titratable sites as well as the energy contributed at the pKa value of FMN during protonation at the N5 nitrogen (pKa(N5)). E1 is sensitive to the subtle differences in the protein environments in the proximity of FMN. The protein dielectric volume that prevents the solvation of charged FMN quinones is responsible for the downshift of 130–160 mV of the E1 values with respect to that in an aqueous solution. The influence of the negatively charged 5′-phosphate group of FMN quinone on E1 could result in a maximum shift of 90 mV. A dramatic difference of 130 mV in the calculated E2 values of FMN quinone of the native and G57T mutant flavodoxins is due to the difference in the pKa(N5) values. This is due to the difference in the influence exerted by the carbonyl group of the protein backbone at residue 57.
A double blind study comparing the effect of intravenous rabeprazole and pantoprazole on gastric pH and volume in laparoscopic surgery under general anaeshesia

Background and Aims: Major thrust in reducing potential for acid aspiration is increase the pH by various methods and pharmacological agents. The aim of the study is to compare the effectiveness of intravenous rabeprazole and pantoprazole on gastric volume and pH in patients undergoing elective laparoscopic surgery under general anesthesia. Materials and Methods: Sixty patients of either sex, aged 18-55 yr, ASA physical status I or II, undergoing elective laparoscopic surgery were randomly assigned in to Group R and Group P to receive intravenous 20mg rabeprazole and 40 mg pantoprazole 15 min before induction of anaesthesia. The post-intubation and pre-extubation gastric aspiration volume and pH was measured with pH meter. Results: The mean post-intubation volume was 20.52  4.46ml and 22.48  4.33 in group R and group P respectively. The mean pre-extubation volume in group P and group R was 15.14  3.66 and 11.10  2.84 respectively. The mean pH of post-intubation gastric aspiration contents in group P was 6.41  0.69 and in group R was 7.37  0.56. All values were statistically significant (p<0.05). Conclusion: Intravenous rabeprazole is more effective than pantoprazole in reducing the gastric volume and increasing the gastric pH.
Mobile Advertisement Click through Rate Prediction

In Internet marketing, click-through rate (CTR) is a metric that measures the number of clicks advertisers receive on their ads per number of impressions. Many researches were carried out on sponsored search where the search query features are taken into account. At an appropriate location the placement of ads leads to CTR value rise which in result increase the customer access growth and also increase the profit for all of the related peoples. So, it means the placement strategy and its efficiency is more important aspect of click through rate. This research work proposes the model which generates the CTR on bases of different dimensions using Avazu mobile adsrate datasets. And from this paper it was concluded that The hourly clicks pattern looks pretty similar every day while in case of days Tuesdays have the greatest number of impressions and clicks, then Wednesdays, followed by Thursdays. Mondays and Fridays have the least number of impressions and clicks. While Tuesdays and Wednesdays have the highest number, of impersonations and ticks, their CTR are amongst the lowermost. Saturdays and Sundays like the uppermost CTR. Seemingly, persons have more period to click over the vacation. It is detected from the investigational consequences that care vector reversion classical is more efficient than the other two models in forecasting click through rate.
Austin Biometrics and Biostatistics Penalized Likelihood Regression Approach for Quantitative Trait Loci Mapping From Samples with Related Individuals

Identifying Quantitative Trait Loci (QTL) by association mapping is critical for understanding the genetic architecture of complex traits or diseases. Many statistical methods have been developed to locate genes and estimate the effects of these genes that are responsible for quantitative traits. Penalized maximum likelihood method is one of the powerful statistical tools for QTL mapping, especially in dealing with the problem of p > n , where p is the number of genetic effects and n is the sample size. Most methods derived from it are limited to analyzing single trait from samples with independent individuals. Genetic inheritable complex diseases usually affect family members and are expressed by multiple correlated traits. The purpose of this study is to develop a statistical method (penalized likelihood regression approach) to target QTL from samples in a general setting, that is, arbitrary related individuals, for both single and multiple traits. Simulation studies show that the proposed method has great performance in detecting QTL in both single- and two-trait scenarios with related and unrelated individuals.
Chemistry of NO x and HNO 3 Molecules with Gas-Phase Hydrated

The gas-phase reactions of OC(H2O)n and OH(H2O)n, n = 20–38, with nitrogen-containing atmospherically relevant molecules, namely NOx and HNO3, are studied by Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry and theoretically with the use of DFT calculations. Hydrated OC@ anions oxidize NOC and NO2C to NO2 and NO3 @ through a strongly exothermic reaction with enthalpy of @263:47 kJ mol@1 and @286:42 kJ mol@1, indicating a covalent bond formation. Comparison of the rate coefficients with collision models shows that the reactions are kinetically slow with 3.3 and 6.5 % collision efficiency. Reactions between hydrated OH@ anions and nitric oxides were not observed in the present experiment and are most likely thermodynamically hindered. In contrast, both hydrated anions are reactive toward HNO3 through proton transfer from nitric acid, yielding hydrated NO3 @ . Although HNO3 is efficiently picked-up by the water clusters, forming (HNO3)0–2(H2O)mNO3 @ clusters, the overall kinetics of nitrate formation are slow and correspond to an efficiency below 10 %. Combination of the measured reaction thermochemistry with literature values in thermochemical cycles yields DHf(O @(aq.)) = 48:42 kJ mol@1 and DHf(NO2(aq.)) =@125: 63 kJ mol@1.
Impact of a Polyherbal Mixture ( Withania somnifera, Ocimum sanctum, Tinospora cordifolia and Emblica officinalis ) on Lamb Growth and Ruminal Fermentation

The aim of this study was to evaluate a polyherbal mixture with Withania somnifera, Ocimum sanctum, Tinospora cordifolia and Emblica officinalis on lambs growth and ruminal fermentation. Thirty crossbred lambs (initial body weight 21.461 ± 2.989) were randomly assigned in three treatments that consisted of rations with the polyherbal mixture at: 0.0, 0.5 or 1.0% of dry matter in a finishing ration with 85% concentrate during 60 days period with lambs fed individually. Digestibility, total VFA concentration, acetate proportion and ruminal pH were increased linearly (P<0.10) as the polyherbal mixture was increased in the diet. The proportion of butyrate was reduced linearly (P<0.01) and feed conversion was improved (quadratic effect P<0.07). The results indicate that the polyherbal mixture improved feed conversion and digestibility, increasing the fermentation activity in the rumen.
Case Review of Cyclin D1 and T (11;14) Negative Mantle Cell Lymphoma and Report of a New Case

Mantle Cell Lymphoma (MCL) represents a sub-type of Non-Hodgkin’s Lymphoma (NHL) with a heterogeneous clinical course. Cyclin D1 overexpression is considered essential in the pathogenesis of Mantle Cell Lymphoma (MCL) and hall-marked by IGH-mediated t(11;14)(q13;q32) resulting in deregulation of CCND1. Extremely rarely CCND1-negative MCL with a poor clinical outcome exists and thus challenges the idea that cyclin D1 over expression is essential in the pathogenesis of MCL. One study suggested 100% of Cyclin D1 negative MCL cases were SOX11 positive and SOX11 has been shown to be a good marker to identify MCL cases with poor outcome. Despite the improvement in response durations with current chemo-immunotherapies, most MCL patients usually relapse. Some targeted therapies Bruton Tyrosine Kinase Inhibitors (BTKI) are approved in the relapsed setting and few of them are undergoing clinical trials in combination with standard frontline therapy. Hence there is an urgent need for finding the appropriate regimen that combines BTKIs like ibrutinib and other drugs to prolong response duration as well as there are an unmet need for the development of other novel agents for ibrutinib refractory disease. finding: This single core of lymphoid tissue shows effacement of the normal architectural by a diffuse population of predominantly medium sized lymphoid cells, which have irregular nuclear contours and only occasional small nucleoli. Numerous macrophages containing apoptotic debris are present.
Advanced Security Functions Based on CaRP Using Random Image Grid

— A new security primitive for secure applications are required these days. Captcha technology solves the most security based problems. Captcha as graphical passwords (CaRP) is proposed in this work along with secure upload of events and an Improved method of CaRP. We consider an event update application, where security is highly required. CaRP addresses a number of security problems altogether, such as online guessing attacks, relay attacks
Learning Weighted Metrics Method with Nonsmooth Learning Process

A new approach to the Learning Weighted Metrics method for optimized classification of data with 1-NN rule is proposed. New approach is based on application of updating rule similar to one of Madaline neural network, and on dynamic optimization of the step size similar to Runge’s method of half step. A short theory is given and the classification ability is demonstrated.
FISH AND FISH OIL IN CARDIOVASCULAR DISEASES

Fish and fish oil are the common dietary sources of long chain ω-3 fatty acids, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). The previous studies suggested that regular consumption of these fatty acids reduces the arrhythmias, endothelial dysfunction, circulating triglyceride level, inflammation, sudden death, myocardial infarction and heart failure. This review will focus on the effects of dietary intake of fish and fish oil on coronary artery disease, arrhythmia, myocardial infarction, atrial and ventricular fibrillation, heart rate variability, atherosclerosis, diabetes mellitus, lipid profile, chronic heart failure, stroke and sudden death. The review also explores the effects of use of fish oil in combination with other lipid lowering drugs. This review searches were limited to clinical trials, cohort studies, comparative studies, meta-analysis, randomized control trials (RCT) and systematic reviews. Finally, the review will suggest recommendation for dietary intake of fish and fish oil as ω-3 supplements for cardiovascular disease risk reduction and examine the limitations of the current data.
Predicting Opinions Across Multiple Issues in Large Scale Cyber Argumentation Using Collaborative Filtering and Viewpoint Correlation

—One challenging problem in large-scale cyber argumentation is that discussions are often incomplete as some ideas only get addressed by a fraction of the users. Typically, users engage only with some ideas but not all of them, making it difficult to assess collective intelligence. To resolve this problem, we developed an innovative method of predicting a user’s opinion on ideas that they have not discussed using the opinions from related ideas with intelligent argumentation and collaborative filtering. Our method considers the similarity of users and the correlation of different ideas across issues to make predictions. Compared to other existing opinion prediction methods, experimental results on an empirical dataset show that our method is 21.7% more accurate. Two major innovative contributions are made in this research: 1) We developed a novel approach to predict a participant’s opinion on a non-participated idea using similar users’ opinions from related ideas with an excellent accuracy in cyber argumentation; 2) This is the first research to enable multi issue opinion prediction with partial agreement on an idea. This is encouraging from several perspectives. This prediction model will help to assess collective intelligence from cyber argumentation more accurately by providing additional data both in individual and collective level. In addition, it may speed up a cyber argumentation analysis process by reducing the amount of participation required.