Miracle-dz/UniFAR-FTUs huggingface dataset:
Do Learning Styles Enhance the Academic Performance of University Students? A Case Study

Higher education models appear to be not entirely designed to support students in facing severe challenges, such as failure in exams and dropping out of school. To solve these challenges, several models of learning styles have been proposed, under the premise that these studies contribute to improving the student's learning experience. This research aims at quantifying the impact of learning styles (learning preferences/dimensions) on students' academic performance from a higher education institution. Ninety-six undergraduate students were surveyed during the 2018-2019 school year and randomly divided into two groups: control (CG) and experimental (EG). The learning preferences of the students were identified using the Unified Learning Style Model (ULSM) instrument. Subsequently, the level of students’ knowledge concerning the course was determined employing a pre-test exam. As a following step, the students of the EG consulted the learning objects designed considering different learning styles. The CG attend their lessons in a face-to-face environment; both groups answered a post-test exam to assess their learning. The learning styles' effect -learning objects were designed to cover several learning styleson academic performance is quantified employing an ANOVA analysis. The results differ from those postulated in previous researches based on the ULSM since there is no statistical evidence that learning styles influence students' academic performance. Therefore, it is necessary to explore other cognitive and affective factors that make the student's learning experience efficient and effective. Keywords—Learning styles; learning objects; unified learning style model (ULSM); academic performance; higher education
Geometric morphometric analysis of shark teeth of the genus Rhizoprionodon: the modern, the ancient, and the hypothetical : modern tooth shape analysis and test of ancestor prediction methods by comparison to fossil shapes

vi CHAPTER I. GENERAL INTRODUCTION 1 CHAPTER 2. GEOMETRIC MORPHOMETRIC ANALYSIS OF SHARK TEETH OF THE GENUS RIIIZ~PRIONODON: THE MODERN, THE ANCIENT, AND THE HYPOTHETICAL. MODERN TOOTH SHAPE ANALYSIS AND TEST OF ANCESTOR PREDICTION METHODS BY COMPARLSON TO FOSSIL SHAPES 9
MetNet DB: a comprehensive metabolic and regulatory network MetNet DB: a comprehensive metabolic and regulatory network database database

Summary: In this paper we will describe a general data model for representing metabolic and regulatory networks. The data model is implemented in a relational database: MetNet DB. MetNet DB serves as an information hub in Gene Expression Tool kit (GET) software package. It provides an integrated and flexible view for metabolic and regulatory networks. With the combination of the other modules of the GET package, sophisticated metabolic network modeling approaches could be achieved. Additionally, the MetNet DB web interface has the functionality of building new interactions and pathways based on user input. This provides a flexible pathway-building tool for the biological research community. Availability: MetNet DB was implemented in MySQL and the web interface was written in PHP. It is freely available to noncommercial users. MetNet DB is available over the web at http://get.botany. iastate.edu/metnet/
Relationship Between Energy Consumption and Economic Growth in Europe Area

In this paper, we investigate the connection between energy utilization and financial development for a few nations in Central Europe. In spite of the fact that there are numerous papers on this subject, the distinction between them and this one is that we think about nations that have not however been examined together. The variable that's utilized for consumption is the ultimate energy utilization, which incorporates the utilization of all shapes of energy (Power, Renewable Energy, Fossil powers, Atomic Energy). In this paper, we utilize board information examination that ponders the associations based on the strategies of settled impact. The information utilized were collected from European databases, Eurostat. Based on the results of the board data regression, we are able conclude that there's a strong correlation between the watched factors. What is required for encourage inquire about is to think about the relationship between factors within the long and short-term. Similarly, curiously would be to ponder the way of integration with nations that have their control sources and energy consumption for GDP optimization. Keywords— Energy Consumption, Economic Growth, RSM, Panel data regression, fixed effect,
1 Why Do Countries Adopt Constitutional Review ?

The past few decades have witnessed a sweeping trend toward constitutional review. This movement is arguably one of the most important phenomena in late twentieth and early twenty-first century government. Yet the trend poses important puzzles of political economy: Why would self-interested governments willingly constrain themselves by constitutional means? What explains the global move towards the judicial branch? Though different theories have been proposed, none have been systematically tested against each other using quantitative empirical methods. In this paper we rely on a unique new dataset on constitutional review for 204 countries for the period 1781-2011 to test various theories that explain the adoption of the institution of constitutional review. Using a fixedeffects spatial lag model, we find substantial evidence that the adoption of constitutional review is driven by domestic electoral politics. By contrast, we find no evidence that constitutional review adoption results from ideational factors, federalism, or international norm diffusion.
Incidence of Fracture in Single Ceramic Crowns in Patients with Chronic Tooth Wear: A Clinical Follow-up

The aim of this study was to identify the incidence of fractures in single crowns placed in individuals with chronic tooth wear. The sample selection was performed based on the evaluation of 218 patient records rehabilitated with single crowns placed by the same professional from a private clinic. After exclusion criteria, 43 individuals (18 males and 25 females) were included and a total of 112 single crowns distributed in both jaws. Three ceramic systems were evaluated: 34 feldspathic all-ceramic, 38 metal-ceramic with a core in gold electropositive alloy, and 40 In-Ceram Alumina. The intraoral photograph analysis adopted a diagnosis method of tooth wear according to the morphological variations of the teeth. Of the 112 crowns evaluated, 47 were placed in male and 65 in female patients, aged between 21 to 74 years (mean 27.5 years old). The variables gender (p = 0.83), presence of chronic tooth wear (p = 0.91), ceramic system (p = 0.24) and crown location (p = 0.86) did not present a statistically difference. However, the variables pulp vitality (p = 0.04) and survival time (p = 0.01) presented a statistically significant difference. The evaluated ceramic systems can be considered as alternatives of restorative material, even in individuals with clinical characteristics suggestive of chronic tooth wear.
User Awareness in Music Recommender Systems

: Music recommender systems are a widely adopted application of personalized systems and interfaces. By tracking the listening activity of their users and building preference profiles, a user can be given recommendations based on the preference profiles of all users (collaborative filtering), characteristics of the music listened to (content-based methods), meta-data and relational data (knowledge-based methods; sometimes also considered content-based methods) or a mixture of these with other features (hybrid methods). In this chapter, we focus on the listener’s aspects of music recommender systems. We discuss different factors influencing relevance for recommendation on both the listener’s and the music’s side and categorize existing work. In more detail, we then review aspects of (i) listener background in terms of individual, i.e., personality traits and demographic characteristics, and cultural features, i.e., societal and environmental characteristics, (ii) listener context, in particular modeling dynamic properties and situational listening behavior, and (iii) listener intention, in particular by studying music information behavior, i.e., how people seek, find, and use music information. This is followed by a discussion of user-centric evaluation strategies for music recommender systems. We conclude the chapter with a reflection on current barriers, by pointing out current and longer-term limitations of existing approaches and outlining strategies for overcoming these.
Improving Data Services of Mobile Cloud Storage with Support for Large Data Objects using OpenStack Swift

Providing data services support for large file upload and download is increasingly vital for mobile cloud storage. There is an increase in mobile users whose data access trends show more access and large file sharing. It is a challenging task for Mobile Application Developers to handle upload and retrieve large files to/from a mobile app because of difficulties with latency, bandwidth, speed, errors, and disruptions to service in a wireless mobile environment. Some scenarios require these large files to be used offline, sometimes to be updated by a single user, and sometimes be shared among all other users. The Wireless mobile environment must consider mobile user’s constraints, such as frequent disconnections and low bandwidth, which affect the ability to handle data and transactions management. The primary objective of this study is to propose a cloud-based Mobile Sync service (sometimes referred as Mobile backend as a Service) with OpenStack Swift object storage to manage large objects efficiently using two main techniques of segmentation and object chunking with compression in a mobile cloud environment. This work further contributed to a prototype implementation of the proposed framework and provides Application Programming Interface (API) consisting of Create, Read, and Delete queries and chunking operations and a lightweight sync protocol that can manage large file synchronization and access. The experimental findings with object-chunking tested size settings show that the proposed Mobile Sync framework can accommodate large files ranging from 100MB to 1GB and provides a decrease in upload/download synchronization times of 63.203% / 92.987% percent as compared to other frameworks. Keywords—Mobile cloud computing; mobile backend as a service; large files; distributed systems
Antimicrobial Effect of Selected Starter Cultures Against Foodborne Pathogens

Starter cultures are used in a wide range of food industries such as the dairy industry for cheese, yogurt and other fermented dairy products’ manufacture , the meat industry, mainly for sausage manufacture , alcohol production for the beer and wine industry , vinegar production , preparation of oriental products based on rice and soy , baking, fermented cereals and production of fermented fruits and vegetables . Since starter cultures are adapted to the substrates, they allow us control of the fermentation process to obtain predictable results .
Modeling the impact of consequence of ammonia release from ship loading arm by CFD

In the energy, oil, gas and petrochemical industries, all stages of mining, production, storage and material handling rely on complex and risky technologies. Always fear to multiple events, resulting in irreparable damage to human and environment seen. Release of hazardous materials in this industry, has always been one of the threatening factors. One of the most dangerous materials in the petrochemical industry is ammonia. However, Engineering and management measures are always considered for prevention of spills and releases of materials, yet often human errors in the control of unit and/or emerging process failures during the maintenance, as well as structural defects or sometimes sabotages all caused such events occur. Hence, one of the effective methods in measuring risk and therefore providing preventive measures as well as emergency management measures mentioned studying Consequences of events and forecasting pollutants and hazardous gases together with various methods. This study in initial aims to study a variety of methods provided for modeling pollutant emissions, then goes forward using computational fluid dynamic to model sudden detachment of marine loading arms during loading ship designed to transport ammonia in one of ports at South Pars in Iran located at Assaloyeh region. It should be noted this study even in terms of emission source and software is distinctive, and conducted for the first time in the world. How ammonia released, regions under influence of lethal concentrations as well as dangerous and lethal concentrations of ammonia forecasted, and suggestions to reduce financial losses have been proposed.
A newly designed softoxometalate [BMIm]2[DMIm][α-PW12O40]@hydrocalumite that controls the chain length of polyacrylic acid in the presence of light

An immediate need in polymer chemistry is to control the chain length of a polymer. Hence it is necessary to develop a strategy that controls the chain length of a polymer. In our present work we have tried to control the chain length of acrylic acid polymer by polymerizing it using a soft-oxometalate (SOM) based catalyst. This soft-oxometalate has a porous material hydrocalumite core and on its pores, a polyoxometalate [BMIm]2[DMMm][α-PW12O40] (1) (where BMIm = 1-butyl 3-methylimidazole; DMIm = 1,3-dimethylimidazole). The soft-oxometalate, [BMIm]2[DMIm][α-PW12O40]@hydrocalumite (SOM 2) was synthesized by sonication within an hour. Using this SOM 2 as an initiator catalyst we obtained poly-acrylic acid of MW 1.2 kDa. While using AIBN@hydrocalumite 3 as an initiator catalyst, the MW of PAA is obtained at around 150 kDa. This difference is attributed to the more favourable interaction of ionic POM with inorganic hydrocalumite, as compared to the less favourable interaction of organic AIBN with inorganic hydrocalumite. More favourable interaction of POM 1 with hydrocalumite leads to higher radical generation and hence shorter polymer chains as compared to that in the case of AIBN in 3, where longer chains are generated due to the low abundance of radicals at the pores of hydrocalumites. SOM 2 was characterized by X-ray diffraction (XRD), horizontally attenuated total reflection infrared spectroscopy (HATR-IR), scanning electron microscopy (SEM), electron dispersive scattering technique (EDS) and dynamic light scattering (DLS).
Spectrophotometric Determination of Ethanol in Wine

A variation of the micro-dichromate method for the determination of ethanol in wine was devised. Reproducible pipetting of a 1-ml sample was achieved through the use of an automatic diluter. Distillation of the sample into an acidic potassium dichromate solution in a 50-ml volumetric flask permitted simple dilution to volume after heating 20 minutes at 60° C. Percent alcohol by volume was then determined from a direct digital concentration spectrophotometer af 600 mµ after standardization with a known ethanol-water mixture, similarly distilled and reacted. The method eliminates the need for a standard ferrous ammonium sulfate solution as a titrant and the normal indicator solution as well as the difficulties encountered with a 1-ml volumetric pipette.
Climate change impacts on household electricity expenditure: the contribution of air conditioning in OECD countries

This paper contributes to expand the empirical evidence on adaptation to climate change through the adoption of air conditioning machines and the use of electricity for a sample of households living across eight different OECD countries outside the United States (US). Our identification strategy relies on the crosscountry and cross-household variation, as we combine a geocoded household survey on energy behaviours with high-resolution climate data to compute heating and cooling degree days. The empirical strategy to assess the impact of air conditionig on electricity expenditure makes use of a Control Function approach in order to address the potential endogeneity of air conditioning. We show that the adoption of air conditioning increases significantly the expenditure on electricity, absorbing the effect of global warming captured by the long-term average cooling degree days which is a key variable in explaining the adoption decision. JEL Codes: N5, O13, Q1, Q54
Examining the Determinants of Consumer Purchase Intention towards Mobile Advertising

Purpose: This paper examines the factors influencing consumer purchase intention towards mobile advertising in Melaka, a historical city in Malaysia. Irritation, entertainment, informativeness, credibility, incentives and emotional values were hypothesized to explain advertising value. The relationship between advertising value and purchase intention of consumers towards mobile advertising were also examined. Design/methodology/approach: A set of self-administered questionnaires have been distributed to the 150 respondents who are involved in online shopping and familiar with mobile advertising. Structural equation modeling was used to test the relationship between all the variables in the model. Findings: The findings have indicated that there is significant relationship between credibility, irritation, informativeness, incentives, emotional value and advertising value respectively except entertainment. Advertising value is positively influencing the consumer’s purchasing intention. Practical implications: The findings of this research paper would be able to assist the marketers to understand more about the factors that may affect the consumers purchasing intention towards mobile advertising. This will enable marketers or advertisers and consumers to know which factors influence the purchase intention towards mobile advertising in Melaka, Malaysia. This will also enable them to have better planning in their marketing strategies through mobile advertising to attract more consumers. Value: This study gives an insight to the mobile advertising companies from the perspective of the respondents’ view towards their purchasing intention.
Improved Lightweight SAFER Encryption by U sing S-Boxes at Diffusion Layer for IoT Devices

—Advancements of communication increase the growth of IoT, where devices are interconnected with each other withthe help of the Internet. IoT is the combination of heterogeneous devices and each device has different hardwareand features. We have to make sure that communication is secured within the network. The physical layer of IoT hasbelonged to the devices and sensors which are the data generating part of the network. To send data over the networksecurely, a lightweight reliable encryption method for IoT devices over the network is required. IoT devices have lowcost and having a small circuit with low computation power. We required an encryption technique that needs to bevery suitable for this type of device, which requires low memory and low computation power for the encryption anddecryption of data. IoT network consists of heterogeneous devices with different security levels. During transmission,data encryption is the most important thing because of the heterogeneous nature of devices. We have different deviceswith different power, cost and hardware properties. There must be an encryption algorithm that fulﬁlls our requirementsand suitable for low-cost devices as well. In this paper, we propose an encryption scheme that is designed for IoT on thebases of low memory and low computation power. This technique requires less memory for S-Boxes storage and hasmore security. It is based on the SAFER encryption algorithm which is improved with the help of S-Box implementation.
Interconnect delay modeling under exponential input

Interconnect has become the dominating factor in determining the performance of VLSI deep submicron designs. With the rapid shrinking of feature size and development in the process technologies, it has been observed that the resistance per unit length of the interconnect continues to increase, capacitance per unit length remains roughly constant, and transistor or gate delay continues to decrease. This has led to the increasing dominance of interconnect delay over logic delay, and this trend to expected to continue. With this being the main bottleneck in realizing high speed circuits, complete understanding of the interconnect delay and thereby efficient and accurate delay calculation has assumed a greater significance in physical design, optimization and fast verification. In this thesis, a interconnect delay model under exponential input is presented. Because of its simple closed form expression, fast computation speed, and fidelity with respect to simulation, Elmore delay model remains popular. More accurate delay computation methods are typically central processing unit intensive and/or difficult to implement. To bridge this gap between accuracy and efficiency /simplicity, a new RC delay metric for interconnects which is as efficient as the Elmore metric, but more accurate, is proposed. However, there is no interconnect delay model considering exponential input waveform existing in the literature. The proposed Exponential Delay Metric uses exponential waveform as input and captures resistive shielding effects by modeling the downstream by a 71"-model. An application of the delay model to perform interconnect optimization using wire sizing is also presented. Experimental results show that the proposed delay model is significantly more accurate than the existing interconnect delay models.
Mitigating the impact of forest management for conservation of an endangered forest mammal species: drey surveys and nest boxes for red squirrels ( Sciurus vulgaris )

Acknowledgements Financial support for this research was provided by Forestry and Land Scotland and the Cairngorms National Park Authority. We are indebted to J. Sneddon, C. Tilbury, S. Long, L. Haskell and in particular M. Gray, for their invaluable assistance in the field. We would like to thank M. Ferryman and E. Bowditch for their work on an earlier pilot study and training they provided in the field. We thank S. and C. Eccles for logistical support and Forestry and Land Scotland for permission to conduct this study on the National Forest Estate. We gratefully acknowledge K. Kortland, Forestry and Land Scotland and two anonymous reviewers for feedback on earlier versions of this paper. This research was approved by the Animal Welfare Ethical Review Committee of the University of the Highlands and Islands and conducted under license from Scottish Natural Heritage. Abstract
Perspectives on board structure , composition , diversity and corporate performance

The study examined previous studies on the relationship between board dynamics (structure, composition, diversity) and corporate performances, the results of the investigations revealed mixed findings on the relationship between board variables and corporate performance, some studies established evidence of significant positive relation while others discovered neutral and or negative relationship. Therefore the conflicting results discovered may be due to differences in corporate governance practice found in different countries. © 2015 Elixir All rights reserved. ARTICLE INFO Article history: Received: 22 February 2013; Received in revised form: 12 September 2015; Accepted: 18 September 2015;
PicSOM and EURECOM Experiments in TRECVID 2019

This year, the PicSOM and EURECOM teams participated only in the Video to Text Description (VTT), Description Generation subtask. Both groups submitted one or two runs labeled as a ”MeMAD” submission, stemming from a joint EU H2020 research project with that name. In total, the PicSOM team submitted four runs and EURECOM one run. The goal of the PicSOM submissions was to study the effect of using either image or video features or both. The goal of the EURECOM submission was to experiment with the use of Curriculum Learning in video captioning. The submitted ﬁve runs are as follows: