Miracle-dz/UniFAR-FTUs huggingface dataset:
THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF FOOD SCIENCE INVESTIGATING DIFFERENCES IN ORAL SOMATOSENSATION AND VISCOSITY PERCEPTION

Viscosity, the extent to which a fluid resists flow, affects the perception and liking of many foods and beverages. However, the mechanism of human perception of viscosity in the mouth is poorly understood. This study involved measuring oral touch perception and oral viscosity perception to determine if there is any relationship between the two. Detection and discrimination threshold estimates of oral point pressure were measured on the midline superior surface of the tongue just posterior to tongue tip for each participant. Discrimination threshold estimates were determined with commercially available Von Frey Hair monofilaments, while commercially available Cochet-Bonnet Aesthesiometers, which deliver less force, were used to determine detection threshold estimates. Model solutions of maltodextrin were used to assess differences in viscosity perception. Using known Weber fractions, pairs of solutions were formulated, such that viscosity differed by 10% above the Just Noticeable Difference (JND). Participants were presented with the pairs of solutions in a 2-AFC format and asked to identify the thicker of the two solutions. Despite the lower amount of force provided by Cochet-Bonnet Aesthesiometers, I observed a floor effect for detection threshold estimates: there was very little variance in the data as nearly all participants could detect the lowest available test stimuli. Therefore, the discrimination threshold estimates were used for remaining analyses. Point pressure discrimination threshold estimates showed sufficient variance to allow separation of participants into high and low discrimination groups, similar to prior work. However, when the viscosity discrimination results of these two groups were analyzed with Fisher’s exact tests, there was no evidence to suggest that oral point pressure discrimination ability was associated with viscosity ii perception. For the low series viscosity samples, of the group with better oral acuity, 16 of 26 (61.5%) correctly identified the more viscous sample, while the group with less oral acuity had 24 of 34 (70.5%) correct identifications. This difference was not significant at a p-value of 0.05. Similar results were observed for the high series viscosity samples, with 14 of 26 (53.9%) correct identifications by those with better oral acuity and 17 of 34 (50.0%) correct identifications by the less acute individuals. These data suggest mechanisms of viscosity perception are not related to phenotypic differences in oral somatosensation when using point-pressure assessments. Future work is needed to develop a more sensitive and verified instrument that may yield more conclusive results in regard to detection thresholds. Also, it may be beneficial to explore roughness discrimination, as it may provide a better indication of an individual’s ability to distinguish viscosity. iii TABLE OF CONTENTS LIST OF FIGURES . iii LIST OF TABLES . iv ACKNOWLEDGEMENTS . v Chapter
Authorship Clustering using Homogeneous Feature Space and Two-stepped Automatic Fuzzy Cmeans Clustering

Identifying the authorship either of an anonymous or a doubtful document constitutes a cornerstone for automatic forensic applications. Moreover, it is a challenging task for both humans and computers considering complex content of document with variety of backgrounds. Due to nature of task it is always considered as an unsupervised task. Clustering documents according to the linguistic style of the authors who wrote them has been a task little studied by the research community. In order to address this problem, PAN Evaluation Framework has become the first effort to promote the development of the author clustering. There are different approaches to address the task and this article proposes a method based on a set of homogeneous features and two-stepped automatic FCM clustering. We use word Ngram, part-of-speech tagging and some other context free features, then using document similarity graph (DSG) estimating number of clusters; finally we use FCM to cluster corpus. We have done the task in very short amount of time and our performance results is comparable with leaderboard competitors in PAN CLEF 2017 challenge.
Identification of Pedestrians Attributes Based on Multi-Class Multi-Label Classification using Convolutional Neural Network (CNN)

The usage of computer vision in identifying pedestrians attributes has received a great attention, especially in the visual surveillance systems. For instance, searching for system based on the attributes. Attributes Identification using Convolutional Neural Network architecture is presented in this article, since the architecture can perform feature learning. CNN consist of convolution layer, ReLU, Pooling, and Fully-connected. There are three experiment scenarios are conducted based on the number of convolution layers, to determine the effect of layers on CNN performance. Three different CNN architectures were trained and tested using a PETA dataset with 35 attributes. The highest accuracy achieved is 75.66% based on number of convolutional layers. The conducted experiments showed that more numbers of convolution layers used would produce the better CNN's performance.
Simulation and Experimental Walking Pattern Generation for Two Types of Degrees of Freedom Bipedal Locomotion Robot

Humanoids or bipedal robots are other kinds of robots that have legs. The balance of humanoids is the general problem in these types when the other in the support phase and the leg in the swing phase. In this work, the walking pattern generation is studied by MATLAB for two types of degrees of freedom, 10 and 17 degrees of freedom. Besides, the KHR-2HV simulation model is used to simulate the experimental results by Webots. Similarly, Arduino and LOBOT LSC microcontrollers are used to program the bipedal robot. After the several methods for programming the bipedal robot by Arduino microcontroller, LOBOT LSC-32 driver model is the better than PCA 96685 Driver-16 channel servo driver for programming the bipedal walking robot. The results showed that this driver confirms the faster response than the Arduino microcontroller in walking the bipedal robot. The walking pattern generation results showed that the step height for 17 degrees of freedom bipedal robot increases approximately (20%) than 10 degrees of freedom bipedal robot, which decreases the step period by about (7%). Also, the time interval of the double support phase for 17 degrees of freedom bipedal robot increases approximately (11%) with decreases step length approximately (33% on X-axis) and (16% on Z-axis).
The Role of Vocabulary Mediation to Discover and Represent Relevant Information in Privacy Policies

To date, the effort made by existing vocabularies to provide a shared representation of the data protection domain is not fully exploited. Different natural language processing (NLP) techniques have been applied to the text of privacy policies without, however, taking advantage of existing vocabularies to provide those documents with a shared semantic superstructure. In this paper we show how a recently released domain-specific vocabulary, i.e. the Data Privacy Vocabulary (DPV), can be used to discover, in privacy policies, the information that is relevant with respect to the concepts modelled in the vocabulary itself. We also provide a machine-readable representation of this information to bridge the unstructured textual information to the formal taxonomy modelled in it. This is the first approach to the automatic processing of privacy policies that relies on the DPV, fuelling further investigation on the applicability of existing semantic resources to promote the reuse of information and the interoperability between systems in the data protection domain.
Teachers’ Perceptions and Needs of CLIL: A Collective Case Study from Turkey

Since the 1990s, CLIL has become a popular and well-established educational approach in English Language and Teaching (ELT) and has been cited for its positive learning outcomes. CLIL’s rising popularity in ELT is predicated on the necessity of internationalisation and unprecedented population mobility (Nikula, Dalton-Puffer and Llinares, 2013). Another reason why CLIL has attracted scholarly attention is attributed to CLIL’s pedagogical practicality. As Coyle (2006) suggests, CLIL can offer “opportunities involving problem-solving, risk-taking, confidence building, communication skills, extending vocabulary, self-expression and spontaneous talk” (p. 7) because it fuses content and language learning with a dual-approach. Such being the case, the aim of this collective case study was to investigate 5 in-service high school EFL teachers’ perceptions about and needs of CLIL. In line with this goal, relevant data were collected through 1) reflective essays written by the participants after reading the article about CLIL, which was distributed to them for raising awareness purposes, 2) semi-structured interviews with them after these lessons. This was a purely qualitative study with the aims of gaining an in-depth insight into the topic at hand from the teachers’ points of view and creating a venue for their voices to be heard. Data garnered from these tools were carefully scrutinized, and the pattern coding generated three main themes regarding the research questions, namely CLIL’s benefits and challenges and teachers’ needs.
Nilai SPAD-502 dan atLEAF CHL PLUS menghasilkan perkiraan kandungan klorofil daun Hevea brasiliensis Müll. Arg. yang akurat

Measurement of chlorophyll content using destructive methods is not efficient due to a large number of samples, cost, and time needed. Estimation of chlorophyll content by nondestructive methods using handheld chlorophyll meter may be considered to improve efficiency. This research aimed to determine the formula to convert SPAD502 and atLEAF CHL PLUS values (relative indicator of chlorophyll content) to estimated (absolute) rubber leaves chlorophyll content. Twenty leaves of rubber plant were measured using SPAD502 and atLEAF CHL PLUS at the same time to determine SPAD-502 and atLEAF CHL PLUS values. The measured leaves were then collected to determine the chlorophyll content using a standard laboratory procedure. Regression and correlation analyses (among 3 methods) were conducted using SAS v.9 software. The results showed that between SPAD-502 and atLEAF CHL PLUS values were closely correlated, hence both of the devices can substitute each other to estimate rubber leaf chlorophyll content. In addition, the relationship between atLEAF CHL PLUS and SPAD-502 values with actual chlorophyll content of rubber clone SP 217, PB 260, GT1, and all clones (general) were significant with high coefficient of determination (R2) as well as low Root Mean Square Error (RMSE) and Coefficient of Variation (CV). Therefore, by using formula determined in this study, both atLEAF CHL PLUS and SPAD-502 can be suggested for accurate, fast, and non-destructive estimation of chlorophyll content of rubber plant leaf. *) Penulis korespondensi: nurcahyo.andi@yahoo.co.uk 1 SPAD-502 and atLEAF CHL PLUS values provide good estimation. (Cahyo et al.) [
Generating Explanations of Action Failures in a Cognitive Robotic Architecture

We describe an approach to generating explanations about why robot actions fail, focusing on the considerations of robots that are run by cognitive robotic architectures. We define a set of Failure Types and Explanation Templates, motivating them by the needs and constraints of cognitive architectures that use action scripts and interpretable belief states, and describe content realization and surface realization in this context. We then describe an evaluation that can be extended to further study the effects of varying the explanation templates.
Effects of Age and Sex of The Foal on The Gestation Length of Thoroughbred Mares

The purpose of this study was to determine the effects of age and sex of the foal on the gestation length of thoroughbred mares. The study covered six stallions (of average age of 10.25 years) and 34 mares (of average age of 10.51 years) with descent records (pedigree), English Thoroughbred horses raised and actively used for breeding at a study farm called Ljubicevo, located in Serbia. The following average morphological body measures were established: body weight (473.10 kg), withers height (159.55 cm), body length (160.54 cm), chest circumference (188.00 cm), and tibia circumference (19.21 cm) were found to be within the scope of standard measures for this breed and particular ages e.g. 9 to 15. The average gestation length, regardless of the sex of the foal, was 336.57 days. The gestation of mares carrying male foals was somewhat longer (337.70 days) than of mares carrying female foals (335.80 days). The difference (1.90 days) in gestation length was not statistically significant (P>0.05). A weak positive correlation (rp=0.321) was observed between the age of the mare and the gestation length (regardless of foal sex). Additionally, a medium correlation (rp=0.444) was observed between the mare's age and the gestation length in the case of male foals, and a very weak correlation (rp=0.210) in the case of female foals.
Polarity Switch within Social Networks

Article history: Received: 27 June, 2020 Accepted: 21 October, 2020 Online: 27 November, 2020 It is the age of information. Social networks are the main reason why, following the increasing activity of online users. With this comes a big impact on the real world, it can be positive and highly negative as well. Therefore, research in this field is highly needed for the betterment of societal behaviors within social networks, to minimize the negative impact. When a negatively polarized message spreads over time, it is eventually exposed to most users of that social network where it is spreading. Social network communities start behaving in a negatively polarized way, due to the negative nature of the propagation of information. In order to optimize technological intervention to the benefit of humanity, in this paper an approach is elaborated in order to help switch the dominant polarity in the case of negativity. The platform of reference is Twitter, since it classifies trends per area, which polarities’ dominate within the social network. To achieve that, an extraction as well as a sentiment analysis method are developed to initiate the positive polarity introduction in the network. The idea behind introducing a positive polarity in a network, relies on the studies of the positive effect nature has on users. The positively polarized promoted content is selected from sponsored content of users who consent to spreading their posts.
Networking for sustainable supplier development; evidence from a Finnish industrial cluster

This article examines a network approach to sustainably developing suppliers in the context of a Finnish industrial cluster. The approach (HSEQ AP) aims to assess and develop the health, safety, environmental and quality-related capabilities of the suppliers of the buying companies that form the cluster. In this study, the impact of this approach, which has been operating for more than a decade, is examined through a mixed-methods approach. Suppliers that have been audited two times or more (n = 29) were quantitatively analyzed in terms of safety performance, consecutive assessment scores and the relationship between assessment scores and financial indicators. To support the quantitative analyses, interviews were conducted with buyers and suppliers. The results suggest that the HSEQ AP can be linked to improvement in operational results and to enhancing social sustainability in the supply network, and that the suppliers and buyers generally find it a worthy investment. The antecedents for this network approach are partially similar to supplier development in general: Buyer demonstration of commitment, particularly through purchasing processes, is crucial and not fully realized in all cases. The use of a competent, trained third-party assessor was seen to bring value, and the suppliers also rated buyer participation very highly. Interestingly, no significant improvement was found regarding environmental capabilities. The HSEQ AP can be viewed as a CSR practice, but the results show there could be further potential to unlock.
Factors Affecting Number of Somatic Symptoms among Pregnant Women: A Multimodal Regression Approach

Background: Multimodality, the occurrence of multiple modes in the distribution of the data is a less-discussed issue in the area of count regression models. Objectives: To assess the suitability of Hermite regression model to predict the factors affecting the number of symptoms among pregnant women. Methods: This study is focused on comparing the performance of various count regression models when the dependent variable is both overdispersed and multimodal. The data is obtained from a community based prospective study of anxiety, depression during pregnancy and its relationship to pregnancy outcomes. Poisson, negative binomial, Hermite and generalized Hermite regression models were fitted to find the relationship between the variables. The models were compared using fit indices along with the estimates and standard errors. Distribution of randomized quantile residuals was also assessed to determine the goodness of fit of the models. Results: Based on the values of fit indices and tests, Hermite regression was chosen as the best to establish the relationship between the response variable, number of somatic symptoms and the predictors. The model identified parity, stress and depression as the factors affecting number of somatic symptoms in pregnant women. Conclusions: The Poisson and negative binomial model may not accommodate multimodality as they are framed based on unimodal distributions. The Hermite regression approach is an ideal approach for count data, as it can handle both overdispersion as well as multimodality.
Towards a Smart Campus for Qassim University: An Investigation of Indoor Navigation System

A R T I C L E I N F O A B S T R A C T Article history: Received: 24 September, 2020 Accepted: 21 November, 2020 Online: 27 November, 2020 With the advancements in technology, smart entities are becoming increasingly intelligent, therefore, increasing their interaction capabilities with their surrounding environment. Apart from the traditional smart low profile devices, these entities now involve cars, mobiles, televisions, and extend to universities and smart cities. One of the bi-product of the smart cities is the emergence of the concept of smart campus. The smart campus is a teaching environment, where dynamic interaction between students/users and the surrounding devices takes place using the paradigm of the Internet of Things (IoT). The Qassim University (QU) is considerably a large university having thousands of students and hundreds of functional units in the central building and also spread across the different cities of the Al-Qassim province. Therefore, the QU can be considered as a small city where many elements need to be connected and decisions be made. The QU thus represents an optimal and practical scenario for the concept of smart campus. With this spirit, the goal of this research is thus to investigate an Indoor Navigation System (INS) as a suitable platform for the QU. As such, the paper reviews the current technologies and opt for the best available and optimal options. For implementation and simulation, the BLE beacon is selected and user data is analyzed to design a mobile application that includes all the services requested by the users. The system architecture in addition to a 2D map presented in this research will help in identifying the locations of BLE beacons to cover the specific area. The work in this paper is conducted on the main campus of the QU; however, the extension to other setups involves minimum or similar infrastructure.
Integrating Knowledge Management and Human Resource Management for Sustainable Performance

There is a clear shift in human resource management from a “service provider” to a “business partner”; however, the new requirements and needs can also be met by the line management or external parties. For this reason, the new development is at the same time an immense opportunity and a threat for the HR managers. This research examines the linkages between human resource management and knowledge management. Specifically, the association between four areas of human resource management (training, decision-making, performance appraisal, and compensation and reward) with the five areas of knowledge management (knowledge acquisition, knowledge documentation, knowledge transfer, knowledge creation, knowledge application) is explored. The role of human resource management is also unique. In terms of employee development, the focus should be placed on achieving quality, creativity, leadership, and problem solving skill. The design of a compensation and reward system should be on promoting group performance, knowledge sharing, and innovative thinking. The performance appraisal must be the base of evaluation of employee’s knowledge management practices, and an input for directing knowledge management efforts.
A polydrug regime for treatment of sudden sensorineural hearing loss

SSNHL is described as a decline in hearing of 30 dB or more, on 3 or more frequencies over 3 days or less, with tinnitus and ear fullness. The incidence varies from 2 to 30 per 1,00,000 adult individuals and there is no gender predilection. The overall incidence is mostly underestimated. SSNHL accounts for approximately 1% of all cases of sensorineural hearing loss. Hearing loss is usually unilateral and accompanied by tinnitus (70%), vertigo or sensation of spatial disorientation (50%).
Home Chaos: Predictor of Behavioral and Peer Problems Among Young Children

The present research was conducted to find out home chaos as a predictor of behavioral and peers problems among young children. Sample consisted of 80 children (40 girls and 40 boys), with an age range of 3 to 7 years (M = 5.32, SD = 1.26). It was hypothesized that children from families reporting high chaos would show high levels of behavioral and peer problems. Confusion, Hubbub, and Order Scale-Urdu (Shamama-tus-Sabah & Gilani, 2006) and Strengths and Difficulty Questionnaire (Goodman, 2001) were administered to measure home chaos, behavioral and peer problems and prosocial behavior respectively. Correlation and Hierarchical multiple Regression was run to analyze the data. Home chaos was found to be positively correlated with children’s behavioral and peer problems. Moreover it was also found to be a significant predictor of behavioral and peer problems and prosocial behavior among young children. Implications and limitations and suggestion for future research have been discussed.
ChipSort: a SIMD and cache-aware sorting module

Sorting is a fundamental programming problem with many important applications. While there are well-known sorting algorithms for conventional computers, special techniques are required to take the most out of real hardware offering features such as cache memory and instruction-level parallelism. ChipSort.jl is a Julia module for SIMD and cache-aware sorting. It implements sorting networks and bitonic merge networks with SIMD instructions, with configurable vector sizes. It also implements Combsort, which lends itself easily to vectorization and can achieve good performance depending on the memory access cost. Insertion sort is used to finalize. Large arrays are approached with a multi-way Mergesort. The implementation of ChipSort itself is of interest from a programming languages perspective due to its use of metaprogramming, more specifically Julia’s generated functions. This enables custom code generation for different tasks and hardware at run-time, a feat owed to Julia. This article presents the implemented techniques as well as experiments that demonstrate speed gains compared to multiple standard libraries.