Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Security Policy Framework to Mitigate Data Breach Due to Human Factors in Physical Locations

—Information Security policy is probably the most important tool that can be used to protected an organization's information and computer resources. However, mostly entities concentrate on the technology and leave out the human aspect of it. Furthermore, these policies do not have anything to do with the physical locations both internal and external. Cyber attacker now takes advantage of human factors and the lack of policy for physical locations to launch their attacks on seemingly strong information security system rendered weak by human behavior and their susceptibility in some physical locations. In this paper, three physical location policy frameworks in relation to human factors are proposed. A linear regression of human factors and data breach incidents associated with physical locations is performed to validated the existing loophole in a strong information security due to their negligence. The results show that vehicles, offices and public places are physical locations that are statistically and significantly associated with data breach incidents due to human factors.
Security of Cloud Services with Low-Performance Devices in Critical Infrastructures

—As part of the Internet of Things (IoT) and Industry 4.0 Cloud services are increasingly interacting with low-performance devices that are used in automation. This results in security issues that will be presented in this paper. Particular attention is paid to so-called critical infrastructures. The authors intend to work on the addressed security challenges as part of a funded research project, using electrical actuators and battery storages as speciﬁc applications. The core ideas of this research project are also presented in this paper.
University of Birmingham Mechanical Characterization of Torsional Micropaddles Using Atomic Force Microscopy

The reference cantilever method is shown to act as a direct and simple method for determination of torsional spring constant. It has been applied to the characterization of micropaddle structures similar to those proposed for resonant functionalized chemical sensors and resonant thermal detectors. It is shown that this method can be used as an e ﬀ ective procedure to characterize a key parameter of these devices and would be applicable to characterization of other similar MEMS/NEMS devices such as micromirrors. In this study, two sets of micropaddles are manufactured (beams at centre and o ﬀ set by 2.5 μ m) by using LPCVD silicon nitride as a substrate. The patterning is made by direct milling using focused ion beam. The torsional spring constant is achieved through micromechanical analysis via atomic force microscopy. To obtain the gradient of force curve, the area of the micropaddle is scanned and the behaviour of each pixel is investigated through an automated developed code. The experimental results are in a good agreement with theoretical results.
CAMA Centre for Applied Macroeconomic Analysis Multivariate Stochastic Volatility with Co-Heteroscedasticity CAMA Working Paper 52 / 2018 October 2018

This paper develops a new methodology that decomposes shocks into homoscedastic and heteroscedastic components. This specification implies there exist linear combinations of heteroscedastic variables that eliminate heteroscedasticity. That is, these linear combinations are homoscedastic; a property we call co-heteroscedasticity. The heteroscedastic part of the model uses a multivariate stochastic volatility inverse Wishart process. The resulting model is invariant to the ordering of the variables, which we show is important for impulse response analysis but is generally important for, e.g., volatility estimation and variance decompositions. The specification allows estimation in moderately high-dimensions. The computational strategy uses a novel particle filter algorithm, a reparameterization that substantially improves algorithmic convergence and an alternating-order particle Gibbs that reduces the amount of particles needed for accurate estimation. We provide two empirical applications; one to exchange rate data and another to a large Vector Autoregression (VAR) of US macroeconomic variables. We find strong evidence for co-heteroscedasticity and, in the second application, estimate the impact of monetary policy on the homoscedastic and heteroscedastic components of macroeconomic variables.
A study on the effect of smokeless tobacco on oral cancer done in a Tertiary Care Hospital in Southern India

and The most common form of chewing tobacco. Paan means betel leaf. Background: Oral cancer is a major problem in India. The incidence is 10.1 cases per lac for males and 4.3 per lac in females. The risk factors for the development of oral cancers include smokeless tobacco. Objectives : The objectives of this study were to find the association between smokeless tobacco and oral cancer. Materials and Methods : A case–control study done at a tertiary care hospital, Bengaluru, India. Study subjects included new cases of oral cancer attending the hospital during the study period and equal number controls. Data collection was done by interview method. Results : Tobacco chewing with an odds ratio (OR) of 2.3 was significantly associated with the risk of oral cancer. Paan chewing with tobacco showed greater risk than paan chewing without tobacco. Chewers who started the habit before the age of 25 years showed an higher risk with OR of 4.5. An increasing trend in oral cancer risk with increase in the frequency and duration of paan chewing was found. The risk was 30 times higher for those with quid retention as compared to never chewers. Duration of quid retention for ≤5 h showed 29.6 times higher risk and for more than 5 h showed 33.3 times higher risk, as compared to those without quid retention. Conclusion : Smokeless tobacco shows higher risk for oral cancer. There is a great need to augment tobacco control measures and educate the public about harmful effects of smokeless tobacco. ABSTRACT
TOUCH SENSATIONS IN AN ONLINE STORE. THE INFLUENCE OF IMAGE INTERACTIVITY ON EMOTIONAL EXPERIENCE AND PRODUCT EVALUATION

In this study we build upon the persuasiveness of touch in product evaluations and extend it to an online store environment. We explore the contribution of image interactivity in mediated product experiences to perceived diagnosticity (i.e. the extent to which the shopping experience is deemed as helpful to evaluate the product), and emotional experience. Results of an experimental study (n=67) reveal that, compared to a static interface, an interface with image interactivity to simulate stroking gestures led to higher levels of perceived diagnosticity and more favorable emotional responses. Additionally, little differences were observed between an interactive interface and actual touch. We also explore the moderating role of an individual’s need for touch and conclude that an interactive interface is especially effective for consumers high in need of touch.
SIMULATION OF GRID INTEGRATED WIND ENERGY CONVERSION SYSTEM

: One of the primary needs for socio-economic development in any nation in the world is the reliable electricity supply system. Renewable energy technologies offers clean, abundant energy gathered from self-renewing resources such as the sun, wind etc. As the power demand increases, power failure also increases. So, renewable energy sources can be used to provide constant loads. Wind energy is expected to be one of the most prominent sources of electrical energy in years to come. In this paper wind energy conversion system is integrated with the grid. Wind turbines are packaged systems that include a rotor, a generator, turbine blades, a drive and coupling blades. This process reveals a unique step in electricity generation and availability from natural resources without hampering the ecological balance. The goal of this paper to build a complete model of integrated wind energy conversion system with grid in MATLAB/Simulink.
Analysis of hubness and application of reduction methods on high dimensional datasets

Hubness is a fairly new issue emerging out of the domains business intelligence and machine learning, that originates from an asymmetric distance relationship between two points inside a dataset. In a high dimensional dataset with a high number of points, this will result is a small amount of points with a lot of neighbors with fairly short distance, the so called “hub points”, and many points with long distance to all neighbors, the “anti hubs”. That’s the reason why hub points occur frequently as neighbors to other points. On the other hand, most other points rarely occur as neighbors and therefore have little influence on subsequent classification. There is a Matlab hubness toolbox which is able to calculate the hubness of a dataset, however, it does not contain functions to deal with large datasets. Also, neither a method to calculate the distance matrix using different metrics and nor a method to compare those hubness values are implemented in the toolbox. Those functions were added by myself in the course of the programming work for this thesis. This thesis aims to answer research questions regarding the contained hubness of datasets and the possibility to reduce said hubness using new reduction methods while verifying that the quality of the data is not reduced. Two of the reduction methods proposed in this thesis are the exclusion of the biggest hubpoints and the projection on a hypersphere both proposed by Abdel Aziz Taha. The third reduction method is the execution of a principal component analysis to find the most important dimensions and visualize the hub points and the data in form of a plot. After the implementation of these new reduction methods, and the application on artificial and non-artificial data, it became clear that the reduction methods operate as expected, reducing the hubness. The pca reduction method turned out to be a non-viable approach though, since the quality of the data and the retrieval system was reduced in the process. The other two reduce hubness and do not damage the quality of the data and the retrieval system. Another general observation was the fact that artificial datasets tended to contain more hubness than non-artificial datasets.
Performance Analysis of Multi Carrier CDMA Transceiver System using a Novel Dynamic Decoding and Scheduling Procedure

: Wireless communications is a rapidly growing area of the communication, with high-quality and high data rate information exchange between mobile devices located anywhere in the world. Multi Carrier Code Division Multiple Access (MC CDMA) has emerged recently as a promising possibility for the next generation broadband mobile networks and it can cater to the needs of broadband mobile networks. The Transceiver proposed for a Multicarrier CDMA system is capable of achieving desirable performance with effective interference cancellation. Dynamic decoding algorithm with dynamic threshold determination and scheduling procedure is proposed to increase the system performance .
COMPARING THE EFFECTS OF INTRAVENOUS CLONIDINE VS INTRAVENOUS DEXMEDATOMIDINE ON PERIOPERATIVE HEMODYNAMICS IN PATIENTS UNDERGOING LUMBAR SPINE SURGERIES

Background: Alpha 2 agonists are commonly used as premedication in major surgeries under general anaesthesia and are useful in maintaining intraoperative haemodynamics. There are very few studies comparing of the two alpha2 agonists clonidine and dexmedetomidine. Methods: Sixty patients aged between 18 to 60 years with ASA status I and II, were included in this prospective, double blinded randomized control study. Patients were randomized into 2 group, Group C-Clonidine group and Group D- Dexmedetomidinegroup using computer generated random numbers. Group C patients received Inj. Clonidine 2 mcg/kg diluted in 10 ml distilled water intravenously and Group D patients received Inj. Dexmedetomidine 1mcg/kg diluted in 10 ml distilled water slow i.v over 10 min. Baseline, intra-operative and post-operative haemodynamics were noted. Post-op seation score and intra-operative blood loss was noted. Results: HR and MAP after induction and after intubation and 2, 4, 6 min post intubation, there was minimal changes seen in Group D as compared to Group C. Post-op sedation score was lower in Group D(0.07±0.06) as compared to group C (1.91±0.03) as observed in post-op recovery room. Conclusion: Dexmedetomidine is more effective than clonidine in attenuating hemodynamic response during laryngoscopy and maintaining intraoperative and post-operative hemodynamics with minimal post-operative sedation and can be effectively used in spine surgeries operated under general anaesthesia.
Non-Preservative Combination in Wireless Frame Capacity System

Remote Body Area Networks (WBAN), as a promising health care framework, can give colossal advantages to opportune and constant patient consideration and remote wellbeing checking. Attributable to the limitation of correspondence, calculation and power in WBAN s, cloud helped WBAN s, which offer progressively solid, keen, and opportune health care administrations for versatile clients and patients, are getting expanding consideration. Boycott gadgets might be inserted inside the body, inserts, might be surface mounted on the body in a settled position, Wearable innovation might be went with gadgets which people can convey in various positions, in garments pockets, by hand or in different sacks . The improvement of boycott innovation was begun around 1995 by thought of utilizing remote individual territory arrange (WPAN). Some of the utilizations of WBAN will be it will be useful for heart patients to follow their wellbeing status and illuminate it to the specialist.However, how to aggregate the health data multi functionality and efficiently is still an open issue to the cloud server (CS). The CS can compute multiple statistical functions of user’s health data and aggregating to offer various services. Specifically, we first propose non additive aggregation of various data sets to find out the minimum and maximum value of the dataset are found and by finding this min and max value for a data set (data of patients), this data helps the doctor to medicate according to their health position known from the data. This data also helps in grouping them. Hence this will be an efficient and easy way to workout.
Service Quality Influence on Customer Satisfaction: In the Case of Mongolia Online Trade Sector

According to the Communications Regulatory Commission of Mongolia report, in recent years, the number of online trade sectors in Mongolia has increased at a rapid pace. The purpose of the research is to investigate the relationship between service quality and customer satisfaction in the online trade market in Mongolia. The research was attended by a total of 200 participants. Research questions and objectives were set, alongside the hypothesis that was developed and tested. In order to determine the relationship between service quality and customer satisfaction were using descriptive statistical analysis and regression analysis. According to the result shows, online trade sector service quality effect on positive customer satisfaction. Therefore, the e-commerce sector should focus more attention on service quality, because of its effects on customer satisfaction. It is also recommended that the e-commerce sector should welcome suggestions from customers.
Intelligent BEE Method for Matrix-vector Multiplication on Parallel Computers

—This paper compares the performance of sparse Matrix-vector multiplication paralleled by the conventional Block-Cyclic distribution and its improved variant on parallel computer with shared memory. The underlying idea is to exchange nonzero entries of matrix assigned to each thread with block unit. Numerical results demonstrate that the proposed distribution using exchange nonzero entries of matrix with block unit gives or improves parallelism.
Acculturation of expatriate executive managers in Czechia

– Acculturation of expatriate executive managers was examined in the sample of 16 sojourners working in Czechia using a longitudinal study (questionnaires plus interviews). The aim of this research was to gain a better understanding of the process of acculturation of sojourners responsible for the transfer of management know-how across international borders. The success of their acculturation was measured by the Goldberg‘s GHQ index and satisfaction scales. Two surveys were conducted, six and eighteen months after respondents’ arrival in Czechia, between 2006 and 2010. The results indicate that acculturation of sojourners in Czechia was successful and proceeded approximately according to the Hofstede’s “U” acculturation curve. In addition, several hypotheses concerning the effect of some known predictors of acculturation success were tested.
Collecting Data of SNS User Behavior to Detect Symptoms of Excessive Usage: Technique for Retrieving SNS Data

— Social networking sites (SNSs) have become widely used and their usage continues to increase. People use SNSs to connect with friends and family. Many businesses also use them as a marketing tool. Nevertheless, many studies have warned about the negative consequences of excessive SNS usage, including the potential of addictive behavior. Therefore, detecting the symptoms of excessive SNS usage is necessary. Data collection is an important first step for analyzing the SNS usage behavior. We designed a data collection application by employing questionnaire to gather user experiences and APIs to retrieve SNS data. We also designed questionnaire and experimentally evaluated it. The results showed that they have an appropriate usability as an instrument for gathering data. In this article, we introduce the techniques for obtaining data from SNSs. Each SNS provides different API for extracting data from their sites. At the beginning, we focus on Twitter and Facebook. These data collection techniques will be utilized in implementing the application. Unfortunately, these methods are limited. Thus, we will collect more data from Internet service providers (ISPs). The obtained data from our application will be applied to detect symptoms of excessive use of SNSs and develop prevention strategies.
Symbioses of Ciliates (Ciliophora) and Diatoms (Bacillariophyceae): Taxonomy and Host–Symbiont Interactions

: The nature of the plankton symbioses between ciliates and diatoms has been investigated from the tropical South Atlantic Ocean, and Mediterranean and Caribbean Seas. The obligate symbioses of the diatoms Chaetoceros dadayi or C. tetrastichon with the tintinnid Eutintinnus spp. , and Chaetoceros coarctatus with the peritrich ciliate Vorticella oceanica are the most widespread, and the consortium of Chaetoceros densus and Vorticella sp. have been rediscovered. Facultative symbioses between Eutintinnus lususundae and Chaetoceros peruvianus , Hemiaulus spp. , and Thalassionema sp. are less frequent, often containing three or four partners because Hemiaulus can also harbor the diazotrophic cyanobacteria Richelia intracellularis . Another three-partner consortium is the peritrich ciliate Zoothamnium pelagicum , ectobiont bacteria, and the diatom Licmophora sp. The predominantly oligotrophic conditions of tropical seas do not favor the survival of large diatoms, but large species of Coscinodiscus and Palmerina in facultative symbiosis with Pseudovorticella coscinodisci have a competitive advantage over other diatoms (i.e., reduction of sinking speed and di ﬀ usive boundary layer). sessile peritric ciliates to extend their distribution in the pelagic environment, permit boreal-polar related diatoms such as C. coarctatus or Fragilariopsis doliolus to inhabit tropical seas, and help large diatoms to extend their survival under unfavorable conditions.
Identi cation of two novel susceptibility variants on chromosome 5p15.33 for non-small cell lung cancer in Chinese population

Background Genome-wide association studies (GWAS) have identi ed 5p15.33 as a susceptibility locus for lung cancer. However, for non-small cell lung cancer (NSCLC), low-frequency risk variants in this region have not been systematically identi ed and studied. We have screened low-frequency variants on chromosome 5p15.33 in Chinese NSCLC patients by targeted sequencing before. Methods In this study, we selected candidate variants from low-frequency variants by comparing the genotype frequency of 400 NSCLC patients with 1,008 East Asians from The genome Aggregation Database (gnomAD). The associations between candidate variants and NSCLC were then discovered and replicated in two case-control sets: stage I with 960 cases and 916 controls, and stage II with 1,596 cases and 1,614 controls in total. Results Among the 5 candidates, 2 polymorphisms were signi cantly associated with risk of NSCLC, including rs33963617 (OR = 0.63, 95% CI: 0.53-0.76, P = 3.80 × 10-7) in TERT and rs77518573 (OR = 0.73, 95% CI: 0.63-0.84, P = 2.00 × 10-5) in CLPTM1L. When strati ed by histologic subtype, a signi cant association was only investigated in adenocarcinoma for rs77518573. We also observed an obvious cumulative effect of the two signi cant variants. Conclusions: We newly identi ed two NSCLC related variants on chromosome 5p15.33. Both TERT-rs33963617 and CLPTM1L-rs77518573 conferred reduced risk for NSCLC in Chinese population. Our study gives new insight into the power of low-frequency variants in explaining cancer heritability and expands our understanding about the essential role of TERT-CLPTM1L region in lung cancer development.
Development and Field Demonstration of a Gamified Residential Demand Management Platform Compatible with Smart Meters and Building Automation Systems

Demand management is becoming an indispensable part of grid operation with its potential to aid supply/demand balancing, reduce peaks, mitigate congestions and improve voltage profiles in the grid. Effective deployments require a huge number of reliable participators who are aware of the flexibilities of their devices and who continuously seek to achieve savings and earnings. In such applications, smart meters can ease consumption behavior visibility, while building automation systems can enable the remote and automated control of flexible loads. Moreover, gamification techniques can be used to motivate and direct customers, evaluate their performance, and improve their awareness and knowledge in the long term. This study focuses on the design and field demonstration of a flexible device-oriented, smart meter and building automation system (BAS) compatible with a gamified load management (LM) platform for residential customers. The system is designed, based on exploratory surveys and systematic gamification approaches, to motivate the customers to reduce their peak period consumption and overall energy consumption through competing or collaborating with others, and improving upon their past performance. This paper presents the design, development and implementation stages, together with the result analysis of an eight month field demonstration in four houses with different user types in Istanbul, Turkey.
Power Quality Performance on a Feasible Design of a Photovoltaic (PV) System for a Local Community

-- This paper presents the simulation of a grid-connected photovoltaic (PV) system to supply electric power to meet the energy demand of 31 MW by a local community. The power system consists of a Generator of 250 MVA and an inverter of 2 MW. The 2 MW PV array serves a 1 MW local load and the surplus is delivered to the distribution line of 14 km which has a load of 30 MW connected to it. In the first iteration of time, PV power goes from 100% to 50 % and back up to 100 % for 60 seconds of operation (ramp rate of 100 kW per second). A three-phase line to ground fault occurs on the substation side of the 14 km feeder. The fault is cleared after 6 electrical cycles. The simulation of the distribution system is performed in MATLAB/Simulink in order to investigate if it meets the IEEE-1547 standard.