Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of an Efficient RPL Objective Function for Internet of Things Applications

Over the decade, a rapid growth in use of smart devices connected and communicating over the Internet is seen in various domains. The IPv6 Routing protocol for Low power and Lossy Networks (RPL) is the routing backbone of such IOT networks. RPL is a proactive, distance vector protocol which constructs the routes based on an Objective Function. The performance of RPL protocol largely depends on the design of Objective Function. Depending on application requirements, the RPL standard offers flexibility in design of the objective function and scope for improving the routing process. In this paper, an efficient Objective Function, RPL-FZ, is proposed. Speedy communication across nodes, low energy consumption and reliable data delivery is key to achieve quality of Service. Considering this, RPL-FZ uses relevant metrics like Residual Energy of Node, Delay and ETX (Expected Transmission count) to make the routing decisions. The metrics are combined using fuzzy logic technique to obtain a single metric Quality for each neighbor node. The neighbor with highest value of Quality is chosen as best parent to forward sensed data toward the collection unit. The proposed objective function RPL-FZ is integrated in the Contiki OS and network simulations are performed using the COOJA simulator. The performance evaluation reveals that RPL-FZ achieves 7% higher Packet Delivery rate, 8% lower energy consumption and 8% lesser latency as compared to single metric based standard objective functions OF0 and MRHOF. Keywords—Internet of things; low power Lossy Networks; IPv6 routing protocol for LLN; objective function; fuzzy logic
Emotional Intelligence and Cognitive Styles: Moderating Role of Emotional Stability and Openness to Experience

The current study investigated the moderating role of Emotional Stability and Openness to Experience personality traits on EI and Cognitive Styles. Ten Item Personality Inventory (TIPI; Gosling, Rentfrow, & Swann, 2003), Self-Report Measure of Emotional Intelligence (SRMEI; Khan & Kamal, 2008), and ObjectSpatial Imagery and Verbal Questionnaire (OSIVQ; Blazhenkova & Kozhevnikov, 2009) were administered to collect data from 3500 students. Emotional Stability moderates the relationship of EI and Cognitive Styles. On the other side openness to experience negatively moderates the relationship of object cognitive style with emotional self-regulation; and positively moderates the relationship of verbal cognitive style with emotional self-awareness and of spatial cognitive style with Interpersonal skills significantly.
Clinics in Oncology

Serious games sparked the possibility of promoting interactive technology in healthcare sector. The design of serious games relies heavily on the experience of the targeted users. The aim of this study is to design and evaluate suitable mechanics of a serious game for adolescents and young adults with leukemia in Saudi Arabia. The study followed usability testing approach by evaluating low-fidelity and high-fidelity prototypes. This study showed that the suitable mechanics in serious game design for adolescents and young adults with leukemia were: mechanics of interaction and play experience comprising of the story, different levels, and characters; mechanics of integrating knowledge and learning including brief dialogues and alerts; and mechanics concerning patients' conditions and constraints consisting of relaxing sound effects and pausing option.
CARDIOPULMONARY DISEASE IN REPTILES

This paper will cover the diseases of the cardiovascular and respiratory systems in reptiles. It is not intended as a comprehensive review. In-depth disease descriptions can be found in the references cited. The paper is divided by etiologic disease categories involving the cardiovascular and respiratory systems. A short discussion of the disease conditions occurring in reptiles is found in each section. Cardiovascular System
Multidimensional Patterns of European Health, Work, and Violence over the Past Two Millennia

Joerg Baten, Richard H. Steckel, Clark Spencer Larsen and Charlotte A. Roberts Please note: This is the last working paper version before this study was submitted and accepted. Please cite as Baten et al. “Multidimensional Patterns of European Health, Work, and Violence over the Past Two Millennia”, in Richard Steckel et al., The Backbone of Europe: Health, Diet, Work and Violence over Two Millennia (Cambridge et al.: Cambridge University Press, 2019), pp. 381-396.
Tumour Infiltrating Lymphocytes: Changing Trends

The TILs as the name suggests are the lymphocytes found within the tumour. Since many years, they have been used as tools to gauze immune-reactivity of malignancies of colon, ovary, lung, bladder, breast etc [1-4]. TILs have been noticed in both primary and metastatic tumours. Presence of TILs in tumours has been positively correlated with its prognosis and response to chemotherapy in many studies [5]. In some malignancies like triple negative breast cancer, TIL positive and TIL negative have been proposed to reflect tumour types with different response to immunotherapy. Moreover, the autologous TILs isolated from tumours and cultured with cytokines like IL-2 have been used as for immunotherapy of tumours [6]. However, other studies have shown no or a negative correlation between TILs and tumour prognosis [7].
Calibração multivariada de redes de abastecimento de água via algoritmo genético multiobjetivo

Este trabalho teve por objetivo propor um modelo computacional com vistas a calibracao multivariada de modelos hidraulicos de sistemas de distribuicao de agua que possibilita a identificacao de possiveis irregularidades, como: vazamentos, obstrucoes nas tubulacoes, valvulas inoperantes ou estranguladas e incompatibilidades na modelagem referente aos dados reais. Utiliza um algoritmo genetico multiobjetivo no processo de calibracao para ajustar as diferencas das variaveis de estado da rede, a fim de produzir informacoes compativeis com suas respectivas redes reais. O modelo proposto permite utilizar ate sete variaveis: a rugosidade, a demanda, a perda de carga singular, a cota topografica, os vazamentos, os diâmetros e as valvulas, simultaneamente, ou qualquer combinacao delas. A aplicacao experimental foi realizada no Laboratorio de Eficiencia Energetica e Hidraulica em Saneamento da Universidade Federal da Paraiba (LENHS/UFPB) com os dados do seu Sistema Piloto de Distribuicao de Agua (SPDA). Os resultados mostraram uma boa convergencia com relacao ao tempo de processamento e a aproximacao dos dados medidos e calculados, assim como possibilitaram a identificacao de problemas mediante analise dos parâmetros resultantes da calibracao, o que proporciona subsidios para uma reabilitacao mais precisa.
Scoring first relevance in knockout promotion to Spanish LaLiga Smartbank

The aim of the present study was to examine the effect´s relevance of scoring first in knockout promotion to the Spanish Liga Smartbank and succeeding´s probability in the knockout round according to contextual parameters. The sample consisted in all knockout rounds not ending scoreless (n = 199) played in the knockout promotion to Spanish Liga Smartbank between 2004/2005 to 2018/2019 season. Data were examined by descriptive analysis, chi-square tests and binary logistic regressions. Results shown statistically significant values when scoring first and moving through to the next qualifying round ( χ ² [1 df] = 32.37; p < .001). Teams opening knockout round as a home team and scoring first, move through to the next round 61.7% of times while teams opening knockout round as an away team and scoring first, move through to the next round 79.4% of the times (Total OR = 6.19). Moreover, significant results were found relative to the importance of gaining advantage in first-leg match and scoring first in the second-leg match. This information could be useful for coaches and performance analysts, being applicable to competition in order to prevent the opposite team from scoring a goal and to find tactical options that allow your team getting ahead on the scoreboard.
PROPOSAL OF A NEW LOSS RATIO PERFORMANCE MATRIX IN SEISMIC DESIGN FRAMEWORK

The paper proposes a new approach in the Performance Based Earthquake Engineering (PBEE) framework, introducing a loss performance matrix associating the expected Probable Maximum Loss (PML), i.e. the probable repair cost induced by a specific earthquake intensity, to various seismic design performance levels. It allows to better control economic consequences related to damage of structural, non structural elements and contents under different earthquake levels. The proposed loss performance matrix shows the probability of loss as a function of Repair Cost Ratio (RCR), which is the Repair Cost (RC) over the total RePLacement Value (RPLV) of the building/facility, for a given Intensity Measure, IM. A qualitative shape of the loss performance matrix is illustrated in this paper, discussing the expected trend of the loss probability as a function of RCR for fixed earthquake intensity and for alternative structural systems. Three different technologies (traditional cast-in-situ, dissipative rocking system, low-damage rocking system) are employed for alternative seismic design of a 5-storey 3-bay ordinary reinforced concrete building under a 500yrs earthquake event. The main aim is investigating how the construction technology may influence probable future repair costs, as well as comparing the analyses results via a newly proposed loss performance matrix.
Open space provision and environmental preservation strategies: A case study in Brazil

A majority of cities across the globe are confronting threats to their natural environment because of worrying trends in indicators such as urban population, PM2.5 air pollution, and CO2 emissions (World Bank 2016). Consequently, several strategies are being used in urban areas to minimise the negative impact of urbanisation on the natural environment. Examples of such strategies are increasing provision of open space and preserving areas that are characterised by high environmental importance. These issues may be less of a problem in public sector practice in the Global North compared to the Global South, because its public institutions generally have more human capital, information and resources to deal with them. For instance, public employees in the Global North have better access to accurate and timely data (Musakwa and van Niekerk 2015; Arsanjani et al. 2016), which produces more effective policies. Disciplines Environmental Design | Environmental Indicators and Impact Assessment | Physical and Environmental Geography | Urban, Community and Regional Planning Comments This accepted book chapter is published as Haddad, M. (2018). Open space provision and environmental preservation strategies: A case study in Brazil. In G. Bhan, S. Srinivas, & V. Watson (Eds.) Routledge Companion to Planning in the Global South (pp. 192-203). London. Routledge. Chapter 15(12 pages) doi:10.4324/9781317392842. Posted with permission. This book chapter is available at Iowa State University Digital Repository: https://lib.dr.iastate.edu/ communityplanning_pubs/47
A deep learning algorithm to translate and classify cardiac electrophysiology: From iPSC-CMs to adult cardiac cells

Exciting developments in both in vitro and in silico technologies have led to new ways to identify patient specific cardiac mechanisms. The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critical in vitro advance in the study of patient-specific physiology, pathophysiology and response to drugs. However, the iPSC-CM methodology is limited by the low throughput and high variability of resulting electrophysiological measurements. Moreover, the iPSC-CMs generate immature action potentials, and it is not clear if observations in the iPSC-CM model system can be confidently interpreted to reflect impact in human adults. There has been no demonstrated method to allow reliable translation of results from the iPSC-CM to a mature adult cardiac response. Here, we demonstrate a new computational approach intended to address the current shortcomings of the iPSC-CM platform by developing and deploying a multitask network that was trained and tested using simulated data and then applied to experimental data. We showed that a deep learning network can be applied to classify cells into the drugged and drug free categories and can be used to predict the impact of electrophysiological perturbation across the continuum of aging from the immature iPSC-CM action potential to the adult ventricular myocyte action potential. We validated the output of the model with experimental data. The method can be applied broadly across a spectrum of aging, but also to translate data between species. (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint this version posted September 29, 2020. ; https://doi.org/10.1101/2020.09. 28.317461 doi: bioRxiv preprint
International Journal of Instruction

Examining and understanding the concept of effective language instruction is of major significance as regards the process of teaching and learning foreign languages. This study attempts to investigate the differences in the male and female EFL (English as a foreign language) students’ perceptions of effective language teachers. The convenient sampling technique, followed by the stratified sampling, was applied to gather the data from 25 males and 58 females (n=83). First, ten highest-mean and ten lowest-mean items were analysed to investigate the most important and the least important qualities of an effective language teacher. Afterwards, 57 independent-sample t-tests were carried out in order to find and recognize the potential differences between the particular questionnaire items as perceived by the male and female participants. The research outcomes demonstrate that the differences between the perception of the highest-mean and lowest-mean items are not considerable between the two sexes despite some detected variances. Furthermore, the statistically significant differences (p ≤ 0.05) were observed in only 9 cases out of the 57 items, which means that overall, the differences are not substantial, and the male and female students generally tend to agree on the characteristics of an effective language teacher.
EVIDENCE FROM A QUANTILE ANALYSIS OF THE COLOMBIAN

This paper explores the relationship between start-up motivation and business performance, by looking into the extent to which start-up motivation (necessity vs. opportunity) influences several business performance indicators. Using the Colombian Small and Microenterprise sector public dataset, we analyse the factors associated with microenterprise performance using a quantile regression approach to model the distribution of different measures of business performance. Among the findings, we present evidence of statistically significant differences among quantiles confirming the heterogeneity of start-up motivation and other firm characteristics of the firms operating in the sector. The results show that start-up motivation is a factor that explains the difference in the distribution of the business performance indicators under study. This findings contributes to the debate around the connection between entrepreneurship and growth in the context of developing economies. Even though firms motivated by necessity show a lower level of profit, in particular for the firms that perform relatively poorly, this is not necessarily associated with null or diminishing growth rates. Necessity is not necessarily a deterrent for growth. It needs to be understood as a means to support families that otherwise would have no incomegenerating opportunities.
First record of entomopathogenic nematodes from Yucatán State, México and their infectivity capacity against Aedes aegypti

Background Biological control using entomopathogenic nematodes (EPN) has demonstrated good potential to contribute to the integral control of mosquito larvae, which as adults are vectors of diseases such as Dengue fever, Zika and Chikungunya. However, until now there are no records of the presence of EPN or their killing capacity in Yucatán state, southern México. The objectives of the current study were: (1) to report the entomopathogenic nematodes present in Yucatán soils and (2) to determine the killing capacity of the most frequent and abundant EPN against Aedes aegypti mosquito larvae and the microbial community developed by Ae. Aegypti exposed to this EPN. Methods The nematodes were collected by the insect trap technique using the great wax moth Galleria mellonella. Internal transcribed spacer (ITS), 28S gene of ribosomal DNA and phylogenetic analyses were performed to identify the EPN. For the bioassay, four concentrations of the most frequent and abundant EPN were tested: 1,260:1 infective juveniles (IJs) per mosquito larvae, 2,520 IJs:1, 3,780 IJs:1 and 5,040 IJs:1. High-throughput sequencing of the 16S rRNA gene was used to identify bacterial amplicon sequences in the mosquito larvae infected with EPN. Results Six isolates of Heterorhabditis were recovered from 144 soil samples. Heterorhabditis indica (four isolates) was the most frequent and abundant EPN, followed by Heterorhabditis n. sp. (two isolates). Both nematodes are reported for the first time for Yucatán state, Mexico. The concentration of 2,520 IJs:1 produced 80% of mosquito larvae mortality in 48 h. Representative members of Photorhabdus genus were numerically dominant (74%) in mosquito larvae infected by H. indica. It is most likely that these bacteria produce secondary toxic metabolites that enhance the mortality of these mosquito larvae.
International Journal of Instruction

Many countries desperately need manpower from the fields of Science, Technology, Engineering and Mathematics (STEM) to help address the country's increasingly volatile economy. Barriers to implementation are identified when students are less exposed to STEM Education goals. Therefore, this study is to determine the main factor that could influence the development of STEM career interest among secondary school learners. Thus, the objective of this study is to develop a model towards the STEM career interest formation among Form 4 science stream students in Malaysia. This study uses quantitative study and proportionate stratified random sampling method in data collection. It involved 314 students Form 4 secondary school science stream in Selangor, Malaysia. The study used three instruments to collect data, namely S-STEM and interest in STEM careers, Science Motivation Questionnaire II (SMQ II), and Parental Authority Questionnaire (PAQ). Implementing correlational analysis between factors and simultaneous regression to determine the overall contributing with huge impacts of each factor towards the formation of STEM career interest among learners with the value of standardized regression weight for the determination coefficient (R 2 ) = 0.64. The result of the findings shows the crucial factors in this study are accurate there are attitudes towards STEM, 21st-century skills, science motivation, and parental authority significance with the huge contribution of the cultivation of learners’ STEM careers interest entirely.
Numerical Examination on Two-Equations Turbulence Models for Flow Across NACA 0012 Airfoil with Different Angle of Attack

Article history: Received 21 December 2019 Received in revised form 17 February 2020 Accepted 22 February 2020 Available online 28 February 2020 Selection of an appropriate and efficient turbulence models is important for fast and accurate computation in fluid dynamics. In order to investigate the computational efficiency of turbulence models, numerical examination based on two-equations turbulence models for flow across NACA 0012 airfoil was carried out by using ANSYS Fluent at various angle of attack (-12o to 20o) and at a Reynold number of 3 × 106. The case study is chosen as its transition from viscid to inviscid flow region which would put a strain on computational performance of turbulence models. The two-equation models being investigated are Standard k-ε model, RNG k-ε model, k-ε Realizable model, Standard k-ω model, k-ω BSL model and k-ω SST model. The drag, lift and pressure coefficient between simulation and experimental results are compared. The convergence rate of these turbulence models is collated as well. The contours of static pressure and velocity magnitude was simulated, and boundary layer separation was noticed from 10° angle of attack. In general, the predicted data have good agreement with experimental data. Amongst the investigated models, k- SST model showed the best agreement with experimental result meanwhile RNG k-ε model showed the slowest convergence rate among all the turbulence models.
Gesture Synthesis for Human-Computer Interaction

—Gesture recognizers require a large pool of training data to achieve good accuracy. However, recruiting participants, data collection and labeling, etc. necessary for achieving this goal are usually time-consuming and expensive. Fortunately, the Kinematic Theory allows to easily bootstrap gesture generation. In this paper, we show that the synthesized gestures not only perform equally similar to gestures generated by human users but also they look and feel the same. Ultimately, this work beneﬁts researchers and designers who wish to prototype gesture-driven applications.
GEOMETRY OF RANDOM DEEP NEURAL NETWORKS: INFORMATION GEOMETRY POINT OF VIEW

Information geometry provides tools for analyzing information systems. In this talk, I will give a short summary of history of information geometry [1]. I will then focus on recent researches on deep neural networks. First, Fisher information matrix is calculated for a randomly connected neural network with suﬃciently large numbers of neurons. It is shown that Fisher information matrix is asymptotically neuron-wise diagonal. It is shown recently that there exists a true target function in a small neighborhood any network of random connections. This is a surprising fact shown by the theory of neural tangent kernel [2]. We give a geometrical perspective of this fact [3]: When a very high-dimensional sphere of radius 1 is projected to a low-dimensional space, the resultant is a 0-mean Gaussian distribution with suﬃciently small variances. This explains the above fact.