Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematics of Climate Change and Mosquito-borne Disease Dynamics

The role of climate change, as measured in terms of changes in the climatology of geophysical variables (such as temperature and rainfall), on the global distribution and burden of vector-borne diseases (VBDs) remains a subject of considerable debate. This dissertation attempts to contribute to this debate via the use of mathematical (compartmental) modeling and statistical data analysis. In particular, the objective is to find suitable values and/or ranges of the climate variables considered (typically temperature and rainfall) for maximum vector abundance and consequently, maximum transmission intensity of the disease(s) they cause. Motivated by the fact that understanding the dynamics of disease vector is crucial to understanding the transmission and control of the VBDs they cause, a novel weather-driven deterministic model for the population biology of the mosquito is formulated and rigorously analyzed. Numerical simulations, using relevant weather and entomological data for Anopheles mosquito (the vector for malaria), show that maximum mosquito abundance occurs when temperature and rainfall values lie in the range [20− 25]◦C and [105− 115] mm, respectively. The Anopheles mosquito ecology model is extended to incorporate human dynamics. The resulting weather-driven malaria transmission model, which includes many of the key aspects of malaria (such as disease transmission by asymptomaticallyinfectious humans, and enhanced malaria immunity due to repeated exposure), was rigorously analyzed. The model which also incorporates the effect of diurnal temperature range (DTR) on malaria transmission dynamics shows that increasing DTR shifts the peak temperature value for malaria transmission from 29◦C (when DTR is 0◦C) to about 25◦C (when DTR is 15◦C). Finally, the malaria model is adapted and used to study the transmission dynamics of chikungunya, dengue and Zika, three diseases co-circulating in the Americas caused
Factors Associated with Quality of Work-Life Among Faculty of Technical Institutes in Punjab

Purpose: The study aims to find out various factors associated with the quality of work-life (QWL) among faculty working in technical institutes in the state of Punjab, India. Design/Methodology: Data have been collected by judgement sampling—a non-probability sampling technique with a self-designed questionnaire which has been administered to the faculty of various technical institutes (both private and government promoted) situated in the state of Punjab. The data have been analysed with the help of Statistical Package for Social Sciences (SPSS) 20 through Reliability analysis, Kaiser–Meyer–Oklin (KMO) test, Bartlett’s test of sphericity. Thereafter, factor analysis is used to identify the factors associated with the QWL. Findings: Seven factors are identified: management policies, work environment, fair salary and rewards, training and development opportunities, job design and life space, job/social security and grievance handling. Besides these, the factorial validity (convergent and discriminant validity) is also established. Originality: Vast literature is available on the area under study but perhaps none of the studies has been conducted to investigate QWL of faculty in the technical education sector. The implications of these findings will have a significant role in improving the understanding of factors associated with work-life quality of the faculty.
2H1-1　A Study on the Force Adjustment by Non-Dominant Hand

The purpose of this study is to examine the differences in the characteristics between the dominant hand and non-dominant in the hand operation which needs adjustment control. In this study, we compared the performance of the force adjustment task between with dominant hand and the non-dominant hand and re-examined the product design. We also examined the mental workload between the above two conditions, that are the tasks with the dominant hand and with the non-dominant hand. As a result, it was cleared that both the right-handed subject and the strong-left-handed subject could adjust with less muscle strength in case they used the dominant hand. And it was also cleared that they output more force than necessary in case they used the non-dominant hand. Further, it could be found the remarkable differences in the result of performance, EMG, and mental workload (NASA-TLX) between with the dominant hand and with the non-dominant hand no matter whether the subject was right-handed or left-handed. On the other hand, in case the subject was the weak-left-handed, it could not be found the distinguished differences in the result of performance, EMG, and mental workload (NASA-TLX) between with the dominant hand and with the non-dominant hand.
Overview Paper Vision-based intelligent vehicles: State of the art and perspectives q

Recently, a large emphasis has been devoted to Automatic Vehicle Guidance since the automation of driving tasks carries a large number of benefits, such as the optimization of the use of transport infrastructures, the improvement of mobility, the minimization of risks, travel time, and energy consumption. This paper surveys the most common approaches to the challenging task of Autonomous Road Following reviewing the most promising experimental solutions and prototypes developed worldwide using AI techniques to perceive the environmental situation by means of artificial vision. The most interesting results and trends in this field as well as the perspectives on the evolution of intelligent vehicles in the next decades are also sketched out. © 2000 Elsevier Science B.V. All rights reserved.
Dynamic high-level in self-adaptive systems

An adaptive software has the ability of modify its own behavior for responding at runtime to changes in its surround context. The ability to self-adapt to changing operational contexts or scopes means that the system can modify its behavior with respect to its original requirements at run time. Recently a new dimension of adaptation is increasing its relevance for complex systems: the ability to accommodate changes in the original requirements taking place when the system is operational. A self-adaptive system should also, to some extent, enable dynamic reconfigurations to meet new or modified requirements without the need of a new design/develop/test/deploy cycle. In this paper we present a software architecture exploiting an explicit, actionable requirement model to drive self-adaptation activities. The architecture includes some semantic-based models able to manage requirements at runtime. We show an implementation of this architecture that leverages the semantic representation of changes to requirements at runtime. We show how the requirements models are related to the software architecture and how runtime changes in these models can influence the adaptive behavior of the system.
Finding the Potential Potter: An Experimental Analysis of Woodland Pottery Decoration Techniques

ABSTRACT Archaeological approaches to “finding the individual” have been applied through various material avenues. Pottery production has been considered an effective avenue to identify idiosyncratic variation, but there has been little work to evaluate fundamental assumptions of attribution studies. This paper addresses how differences in decorative techniques can influence our ability to identify the actions of an individual. In an experimental study, participants applied decoration by incising and linear stamping techniques. Element size, element width, and gap width were evaluated through principal component analysis to identify possible patterning. The author had considerably more success identifying individual variation in linear stamping compared to variation caused by incising techniques. The author argues the stamping technique is more recognizably individualized due to the higher number of actions that can be related to measurable variables used to identify individual variation. The results indicate that idiosyncratic variation among potters will be more effectively recognized when potters apply certain decorative techniques.
Method and system

A method and a system for generating three-dimensional video utilizing a monoscopic camera are provided. The monoscopic camera may comprise one or more image sensors and one or more depth sensors. Two-dimensional image data may be captured via the image sensor(s) and depth information may be captured via the depth sensor(s). The depth sensor may utilize infrared waves transmitted by an emitter of the monoscopic camera. The monoscopic camera may be operable to utilize the captured depth information to generate a three-dimensional video stream from the captured two-dimensional image data. The monoscopic camera may be operable to synchronize the captured depth information with the captured two-dimensional image data. The monoscopic camera may be operable to generate a two-dimensional video stream from the captured two-dimensional image data. The monoscopic camera may be configurable to output the two-dimensional video stream and/or the three-dimensional video stream.
Biometrics on Mobile Devices Using the Heartbeat

As technology evolves, authentication systems tend to maximize its security, while simultaneously minimizing usability related issues. Security systems based on passwords or tokens can be easily compromised enabling the growth of biometric systems. However, since static biometrics, such as fingerprint or hand geometry, may be forged to circumvent systems security, different solutions must be studied. In this thesis the aforementioned problem will be addressed using biological signals derived from the heartbeat, i.e. Electrocardiogram (ECG) and Photoplethysmogram (PPG) waveform signals. Two main approaches regarding the aforementioned signals were identified, being either fiducial dependent or fiducial independent. Focusing on the latter and resourcing to a feature extraction method exposed in the literature as AC/DCT, several data sets containing both waveforms were generated from two public databases to evaluate the feasibility of using bio-signals in the context of an authentication scenario in mobile devices. Using a wristband with a PPG sensor and a mobile device, an authentication system was simulated and evaluated. For comparison purposes, a feature extraction algorithm using timedomain features extracted from Heart Rate Variability (HRV) artifacts was also implemented. Using Random Forest (RF) as the classifier, the AC/DCT approach presented better results, having False Positive Rate (FPR) of 7% and False Negative Rate (FNR) of 11%, and correctly classifying 91.8% of the samples.
COMPARATIVE ANALYSIS OF EFFICIENCY OF AODV, DSR AND WRP ROUTING PROTOCOLS IN AD-HOC NETWORKS

Routing protocols yield various outcomes in different situations. Thus far, many scholars investigated existing and recently proposed routing protocols in different environments. Due to increase in the amount of mobile devices and access points, the routing protocols have undergone the performance degradation. The paper analyzes and evaluates three routing protocols based on the node density and node mobility. According to the analysis results, DSR (Dynamic Source Routing) protocol has demonstrated better performance in some cases and values. However, AODV (Ad-hoc On-Demand Distance Vector) routing protocol demonstrated overall better performance than others.
Virtual Routing Function Deployment in NFV Based Networks Under Network Delay Constraints

NFV-based network implements a variety of network functions with software on general-purpose servers and this allows the network operator to select any capacity and location of network functions without any physical constraints. The authors proposed an algorithm of virtual routing function allocation in the NFVbased network for minimizing the total power consumption or the total network cost, and developed effective allocation guidelines for virtual routing functions. This paper evaluates the effect of the maximum tolerable network delay on the guidelines for the allocation of virtual routing functions, which minimizes the total network cost. The following points are clear from quantitative evaluations: (1) The shorter the maximum tolerable network delay, the greater the number of areas where the routing function must be allocated, resulting in an increase in the total network cost. (2) The greater the routing function cost relative to the circuit bandwidth cost, the greater the increase in the total network cost caused by the maximum tolerable network delay. This paper also provides the possible guideline how to decide the value of maximum tolerable network delay when the condition of allowable increase in network cost is given.
Creating Value through Authenticity and Social eWOM: Evidence from Authentic Traditional Yogyakarta Cuisines

: This study adapted the Mehrabian-Russell (M-R) model to examine how authenticity and social electronic word-of-mouth (eWOM) factors influence Indonesian consumer behavioral intention toward authentic traditional Yogyakarta cuisines. This study used nonprobability sampling with purposive sampling methods and received 310 respondents. The theoretical model was tested using structural equation modeling with partial least squares (SEM-PLS). The paper found support for the positive effect of authenticity (i.e. food and atmosphere), social eWOM, and perceived value. Results indicate that social eWOM was a strong factor influencing perceived value toward a traditional food hailing from Yogyakarta. Theoretical and managerial implications are elaborated.
DESIGN OF THE ALAMOUTI SCHEME FOR A MIMO RECEIVER AND ITS IMPLEMENTATION ON AN FPGA

This paper analyses the Alamouti scheme for different antenna configurations and different modulation types, namely BPSK, QPSK and QAM. All configurations were modeled and simulated in MATLAB. A MIMO receiver for a 21 antenna configuration and BPSK modulation was implemented in a FPGA. The FPGA results indicate that the Alamouti scheme is a good design option for hardware implementation of a MIMO receiver. The receiver uses only about 10% of the resources of a medium-sized FPGA and achieves almost 300 Msymbols per second.
The Principles Adopted In Designing the Webcomics to Assist Lower Secondary Students with Reading Comprehension

The primary objective of this study is to highlight the designing of reading instruction specifically the web comics to assist students in understanding a text read. This is because the current practice in the teaching of reading comprehension focuses towards reading texts merely from the text books provided in the form of text and inadequate vocabulary of the students’ results in incapability of comprehending the particular text. Teachers need to be creative in designing reading instructions to be utilized in the reading classes to assist the average performance students to understand a text read. The webcomics are hoped to enhance the understanding of the text through the features of webcomics present in the text which represent the text including the vocabulary present. This paper presents the phases adopted in designing of webcomics to be used in reading comprehension classes.
guideline for the strategic implementation of social media messaging within a marketing communication context

Marketing communication practitioners lack a guideline for implementing social mediastrategically. In the light of this, the authors of this article explored the strategic implementationof social media within a marketing communication context. A grounded theory process was firstlyfollowed in order to compile a list of social media messaging categories. This list was then pairedwith the disciplines of the marketing communication mix, based on their inherent similarities. Todemonstrate the practical relevance of the pairings thereafter, the authors followed a process ofaction research as a way of analysing an organisation’s existing social media messaging plan, referencing the strategic considerations that the pairing process inferred. By doing so, the authorsestablished that the pairing and action research process explored could be used as a strategicguideline for social media managers to improve the degree to which an organisation’s socialmedia messaging is conducive to the reaching of specific marketing communication objectives.
The Analysis and Impact of Co2 Worldwide

Carbon plays important role in the environment for climate change. Carbon cycle is essential to life on earth but it is recognized as one of the most dominating gas among greenhouse gases Countries emit carbon from various sources which is necessary development. Each year a rank given to each country based on human development index which does not include carbon emissions. This paper uses classification algorithms to categorize countries to predicting the level of development and to find the best performing algorithm. Keywords— Classification, Human Development Index (HDI), Carbon Emission, Naïve Bayes, Decision Tree
Exploring Sculptures to Teach Family Development Theory: The Walking Tour Activity

The university campus has several life-size statues that represent individuals and dyads at various ages. The instructor conducts a walking tour with students to create hypothetical biographies for the individuals or dyads. These biographies are used as a means to explain family development (FD) theory concepts, such as stages and developmental tasks. This article notes teaching options for other educators (with or without access to sculptures).
Secure Remote User Authenticated Key Establishment Protocol for Smart Home Environment

The Information and Communication Technology (ICT) has been used in wide range of applications, such as smart living, smart health and smart transportation. Among all these applications, smart home is most popular, in which the users/residents can control the operations of the various smart sensor devices from remote sites also. However, the smart devices and users communicate over an insecure communication channel, i.e., the Internet. There may be the possibility of various types of attacks, such as smart device capture attack, user, gateway node and smart device impersonation attacks and privileged-insider attack on a smart home network. An illegal user, in this case, can gain access over data sent by the smart devices. Most of the existing schemes reported in the literature for the remote user authentication in smart home environment are not secure with respect to the above specified attacks. Thus, there is need to design a secure remote user authentication scheme for a smart home network so that only authorized users can gain access to the smart devices. To mitigate the aforementioned isses, in this paper, we propose a new secure remote user authentication scheme for a smart home environment. The proposed scheme is efficient for resource-constrained smart devices with limited resources as it uses only one-way hash functions, bitwise XOR operations and symmetric encryptions/decryptions. The security of the scheme is proved using the rigorous formal security analysis under the widely-accepted Real-Or-Random (ROR) model. Moreover, the rigorous informal security analysis and formal security verification using the broadly-accepted Automated Validation of Internet Security Protocols and Applications (AVISPA) tool is also done. Finally, the practical demonstration of the proposed scheme is also performed using the widely-accepted NS-2 simulation.
The Phonetics-Phonology Relationship in the Neurobiology of Language

In this work, I address the connection of phonetic structure with phonological representations. This classical issue is discussed in the light of recent neurophysiological data which – thanks to direct measurements of temporal and spatial brain activation – provide new avenues to investigate the biological substrate of human language. After describing principal techniques and methods, I critically discuss magnetoencephalographic and electroencephalographic findings of speech processing based on event-related potentials and event-related oscillatory rhythms. The available data do not permit us to clearly disambiguate between neural evidence suggesting pure acoustic patterns and those indicating abstract phonological features. Starting from this evidence, which only at the surface represents a limit, I develop a preliminary proposal where discretization and phonological abstraction are the result of a continuous process that converts spectro-temporal (acoustic) states into neurophysiological states such that some properties of the former undergo changes interacting with the latter until a new equilibrium is reached. I assume that – at the end of the process – phonological segments (and the related categorical processes) take the form of continuous neural states represented by nested cortical oscillatory rhythms spatially distributed in the auditory cortex. Within this perspective, distinctive features (i.e., the relevant representational linguistic primitives) are represented by both spatially local and distributed neural selectivity. I suggest that this hypothesis is suitable to explain hierarchical layout of auditory cortex highly specialized in analyzing different aspects of the speech signal and to explain learning and memory processes during the acquisition of phonological systems.
Coping with the Frequency Bias in Sentiment Classification

In this article, we study the polarity detection problem using linear supervised classifiers. We show the interest of penalizing the document frequencies in the regularization process to increase the accuracy. We propose a systematic comparison of different loss and regularization functions on this particular task using the Amazon dataset. Then, we evaluate our models according to three criteria: accuracy, sparsity and subjectivity. The subjectivity is measured by projecting our dictionary and optimized weight vector on the SentiWordNet lexicon. This original approach highlights a bias in the selection of the relevant terms during the regularization procedure: frequent terms are overweighted compared to their intrinsic subjectivities.We show that this bias appears whatever the chosen loss or regularization and on all datasets: it is closely link to the gradient descent technique. Penalizing the document frequency during the learning step enables us to improve significantly our performances. A lot of sentimental markers appear rarely and thus, are unappreciated by statistical learning algorithms. Explicitly boosting their influences leads to increasing the accuracy in the sentiment classification task.
Task-Level Feedback in Interactive Learning Enivonments Using a Rules Based Grading Engine

Task-Level Feedback in Interactive Learning Environments Using a Rules Based Grading Engine John Shadrack Chapman Department of Instructional Psychology & Technology, BYU Doctor of Philosophy In order to improve the feedback an intelligent tutoring system provides, the grading engine needs to do more than simply indicate whether a student gives a correct answer or not. Good feedback must provide actionable information with diagnostic value. This means the grading system must be able to determine what knowledge gap or misconception may have caused the student to answer a question incorrectly. This research evaluated the quality of a rules-based grading engine in an automated online homework system by comparing grading engine scores with manually graded scores. The research sought to improve the grading engine by assessing student understanding using knowledge component research. Comparing both the current student scores and the new student scores with the manually graded scores led us to believe the grading engine rules were improved. By better aligning grading engine rules with requisite knowledge components and making revisions to task instructions the quality of the feedback provided would likely be enhanced.