Miracle-dz/UniFAR-FTUs huggingface dataset:
Application-driven Wireless Sensor Networks

The growth of wireless networks has resulted in part from requirements for connecting people and advances in radio technologies. Recently there has been an increasing trend towards enabling the Internet-of-Things (IoT). Thousands of tiny devices interacting with their environments are being inter-networked and made accessible through the Internet. For that purpose, several communications protocols have been defined making use of the IEEE 802.15. 4 Physical and MAC layers. The 6LoWPAN Network Layer adaptation protocol is an example which bridges the gap between low power devices and the IP world. Since its release, the design of routing protocols became increasingly important and the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) emerged as the IETF proposed standard protocol for IPv6-based multi-hop Wireless Sensor Networks (WSN). This thesis considers that the sensor nodes form a large IPv6 network making use of above technologies and protocols, and that the sensor nodes are enabled to run one or more applications. It is also assumed that the applications and the sensor nodes to which they are associated, are not always active, alternating between active and inactive states. The thesis aims to design a new energy efficient communications solution for WSN by exploring the hypothesis that the network is aware of the traffic generated by the applications running in the sensor nodes. Therefore, the thesis provides two major contributions: 1) a crosslayer mechanism using application layer and network layer information to constrain RPL-defined routing trees (RPL-BMARQ); 2) an Application-Driven WSN node synchronization mechanism for RPL-BMARQ. RPL-BMARQ is designed as an extension to the RPL routing protocol using information shared by the application and routing layers to construct Directed Acyclic Graphs (DAGs), allowing the nodes to select parents with respect to the applications they run. By jointly considering the neighbors of each node, the applications each node runs, and the forwarding capabilities of a node, we provide a communications solution which enables the data of every application and sensor node to be transferred, while keeping the overall energy consumed low by reducing the time the nodes are active and reducing the total number of multicast packets exchanged. Therefore, RPL-BMARQ helps reducing the network energy consumption since it restricts radio communication activities while maintaining throughput fairness and packet reception ratio high. The mechanism was evaluated using four scenarios with different network topologies and compared against "standard RPL". The results obtained show that the mechanism enables lower energy consumption since the nodes are more often put a sleep, reducing the total number of packets exchanged, while maintaining fairness and query success rates hight. The Application-Driven WSN node synchronization mechanism for RPL-BMARQ was designed to maintain the sensor nodes synchronized according to the duty cycle of the applications they run. The mechanism jointly uses cross-layer information and the Exponentially Weighted
“Just Hemorrhoids, Not Cancer”: Perceptions of Colorectal Cancer Among Thai Colorectal Cancer Patients

Colorectal cancer is the leading cause of mortality among Thais. Understanding patients’ perceptions of colorectal cancer can help in the design of educational programs to enhance awareness of colorectal cancer among Thais. This study aims to elucidate illness explanatory models of colorectal cancer and their perceptions of colorectal cancer through the explanatory model. In-depth interviews with 30 patients about their perceptions and experiences of colorectal cancer were subjected to thematic analysis. The findings show that the patients were unaware of colorectal cancer, had misconceptions regarding colorectal cancer detection and screening; they considered the symptoms to be the result of hemorrhoids, karma, and heredity. Their explanatory model underlies the body of knowledge grounded in the lay explanation which results in perception, beliefs, relative experiences, and approaches to illness management. There is a need for further information about colorectal cancer symptoms to assist symptom recognition through cancer education and screening programs.
Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review

With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human–robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human–robot collaborative and cooperative industrial applications. Therefore, this systematic literature review critically appraises 32 papers’ published between 2016 and 2021 to identify the main employed AR technologies, outline the current state of the art of augmented reality for human–robot collaboration and cooperation, and point out future developments for this research field. Results suggest that this is still an expanding research field, especially with the advent of recent advancements regarding head-mounted displays (HMDs). Moreover, projector-based and HMDs developed approaches are showing promising positive influences over operator-related aspects such as performance, task awareness, and safety feeling, even though HMDs need further maturation in ergonomic aspects. Further research should focus on large-scale assessment of the proposed solutions in industrial environments, involving the solution’s target audience, and on establishing standards and guidelines for developing AR assistance systems.
Enhanced Walking-Induced Fat Oxidation by New Zealand Blackcurrant Extract Is Body Composition-Dependent in Recreationally Active Adult Females

New Zealand blackcurrant (NZBC) extract enhanced cycling-induced fat oxidation in female endurance athletes. We examined in recreationally active females the effects of NZBC extract on physiological and metabolic responses by moderate-intensity walking and the relationship of fat oxidation changes with focus on body composition parameters. Twelve females (age: 21 ± 2 y, BMI: 23.6 ± 3.1 kg·m−2) volunteered. Bioelectrical bioimpedance analysis was used for body composition measurements. Resting metabolic equivalent (1-MET) was 3.31 ± 0.66 mL·kg−1·min−1. Participants completed an incremental walking test with oxygen uptake measurements to individualize the treadmill walking speed at 5-MET. In a randomized, double-blind, cross-over design, the 30 min morning walks were in the same phase of each participant’s menstrual cycle. No changes by NZBC extract were observed for walking-induced heart rate, minute ventilation, oxygen uptake, and carbon dioxide production. NZBC extract enhanced fat oxidation (10 responders, range: 10–66%). There was a significant correlation for changes in fat oxidation with body mass index; body fat% in legs, arms, and trunk; and a trend with fat oxidation at rest but not with body mass and habitual anthocyanin intake. The NZBC extract responsiveness of walking-induced fat oxidation is body composition-dependent and higher in young-adult females with higher body fat% in legs, arms, and trunk.
Using Cutting Enzymes to Investigate Genetic Variation in Two Local Chicken Breeds, Fayumi and Dandarawi

The aim of this study was to compare the genetic variation in two local chicken breeds, Fayumi and Dandarawi. Two hundred individuals (100, Fayumi and 100, Dandarawi) were tested. Live body weights were collected and recorded for each bird separately within genotype from zero to 16 weeks of age. Two genes for the Growth Hormone GH and the Growth Hormone Receptor GHR were used in 12 birds at random for each of the two chicken breeds. After MspI and HindIII digestion, four allele's privet patterns were found for the GH and GHR genes, allele C, T and allele A, B, respectively. For GH, there were 17 and 7 for the Fayoumi and Dandarawi breeds, respectively. While in GHR resulted were 25 and 15 bands with the Fayoumi and Dandarawi breeds, respectively. The frequency of TT (GH) and AA (GHR) in Fayumi chicken was 0.28 and 0.55, respectively. Also, in Dandarawi chicken, the frequency of these alleles was 0.21 and 0.56, respectively. There was no homozygous genotype CT for GH detected in both studied breeds. The Polymorphic Information Content PIC values of 0.49, 0.65, and 0.49, 0.57 for Fayumi and Dandarawi chicken breeds, respectively, for two genes GH and GHR. Some possible genes for improving body weight in various indigenous chicken breeds had already been identified and exploited for selection and breeding reasons.
Diabetes and Second Neoplasia Impact on Prognosis in Pre-Fibrotic Primary Myelofibrosis

Simple Summary The 2016 WHO-revised classification of MPNs recognized pre-fibrotic PMF (pre-PMF) as a distinct clinical entity from both overt fibrotic PMF (overt PMF) and essential thrombocythemia (ET). In fact, while the initial presentation of pre-PMF is often an isolated thrombocytosis, thus mimicking ET, its course may be symptomatic in a non-negligible number of cases. Conversely, overt PMF patients are enriched in higher-risk categories, thus suggesting a greater propensity for disease progression than pre-PMF. Importantly, median survival is significantly reduced in overt PMF vs. pre-PMF, thereby reinforcing the appropriateness of making this distinction in clinical practice. Nevertheless, a specific prognostic model for pre-PMF is still lacking, except for thrombotic risk. The aim of the present study was therefore to identify covariates other than those commonly related to PMF, which can better define prognosis in pre-PMF patients in the real-world setting, thus resulting in more personalized and efficient therapeutic approaches. Abstract The 2016 WHO classification recognized pre-fibrotic primary myelofibrosis (pre-PMF) as a distinct entity. Nevertheless, a prognostic model specific for pre-PMF is still lacking. Our aim was to identify the most relevant clinical, histological, and driver mutation information at diagnosis to evaluate outcomes in pre-PMF patients in the real-world setting. We firstly assessed the association between IPSS or DIPSS at diagnosis and response variables in 378 pre-PMF patients. A strict association was observed between IPSS and DIPSS and occurrence of death. Other analyzed endpoints were not associated with IPSS or DIPSS as thrombo-hemorrhagic events at diagnosis or during follow-up, or did not show a clinical plausibility, as transformation into acute leukemia or overt PMF. The only covariates which were significantly associated with death were diabetes and second neoplasia, and were therefore included in two different prognostic settings: the first based on IPSS at diagnosis [class 1 vs. 0, OR (95%CIs): 3.34 (1.85–6.04); class 2 vs. 0, OR (95%CIs): 12.55 (5.04–31.24)], diabetes [OR (95%CIs): 2.95 (1.41–6.18)], and second neoplasia [OR (95%CIs): 2.88 (1.63–5.07)]; the second with DIPSS at diagnosis [class 1 vs. 0, OR (95%CIs): 3.40 (1.89–6.10); class 2 vs. 0, OR (95%CIs): 25.65 (7.62–86.42)], diabetes [OR (95%CIs): 2.89 (1.37–6.09)], and second neoplasia [OR (95%CIs): 2.97 (1.69–5.24)]. In conclusion, our study underlines the importance of other additional risk factors, such as diabetes and second neoplasia, to be evaluated, together with IPSS and DIPSS, to better define prognosis in pre-PMF patients.
Bio-Hybrid Hydrogels Incorporated into a System of Salicylic Acid-pH/Thermosensitive Nanocarriers Intended for Cutaneous Wound-Healing Processes

In this paper, the preparation method of bio-hybrid hydrogels incorporated into a system of salicylic acid-pH/thermosensitive nanocarriers to speed up the wound-healing process was developed. This combination creates a dual drug delivery system, which releases the model hydrophobic active substance—salicylic acid—in a gradual and controlled manner for an extended time. Our research team has determined the various properties of bio-hybrid hydrogels based on their physicochemical (swelling degree, and degradation), structural (FT-IR), morphological (SEM), and mechanical (elongation tests) traits. Moreover, empty pH/thermosensitive nanocarriers and their salicylic acid-containing systems were characterized using the following methods: DLS, TG/DTG, and DSC. Additionally, salicylic acid release profiles directly from thermosensitive nanocarriers were compared to the bio-hybrid matrix. These studies were conducted in PBS (pH = 7.4) for 7 days using the USP4 method. To evaluate the antibacterial properties of the obtained materials, the inhibition of growth of Staphylococcus aureus, Escherichia coli, Candida albicans, and Aspergillus niger—as the main microorganisms responsible for human infections—were tested. The obtained results indicated that the pH/thermosensitive nanocarrier–salicylic acid system and bio-hybrid hydrogels are characterized by antibacterial activity against both S. aureus and E. coli.
An experimental study on implementation of centralized pi control techniques on pilot plant binary distillation column

The article discusses centralized PI control techniques and its implementation on a pilot plant binary distillation column. More specifically, the paper presents two centralized control methods. The first method is designed based on the Steady State Gain Matrix (SSGM), whereas the second method is designed based on the SSGM along with time delay and time constant of the process transfer function matrix. The interaction and main effects are obtained and analyzed between the process variables along with its performance. Further, the selection of process variables during the closed loop implementation of the control algorithm are studied. Moreover, the effectiveness of the centralized control techniques are discussed both, in simulation and real- time environment. Finally, the control algorithm is implemented in real- time using the MATLAB Simulink platform.
An Effective Algorithm to Improve Recommender Systems using Evolutionary Computation Algorithms and Neural Network

Abstract The growing Internet access and easy access to it have resulted in a significant increase in e-content, which, along with many benefits, has caused problems for users. Internet users simply cannot find the content they need from this massive amount of data. Users are faced with a lot of suggestions for choosing goods, buying items, selecting music and videos, and more. Advantage systems can be used to overcome these problems. Today, with the spread of people's use of cyberspace, such as web sites and social networks, and increasing the need for conscious and clever selection of people, recommender systems has been extensively investigated. Although the neural network can identify the connections between the inputs and outputs of a dataset, but in order to achieve the proper performance of the neural network, a proper structure should be considered. We will use the mantle algorithm to determine this structure. The mantle algorithm is a form of traditional genetic algorithm that uses local search to reduce the time to achieve optimal response. Genetic algorithms are created to search across the search space, while the local search, the neighborhood of the neighborhood, finds every response found by the genetic algorithm to find better answers. This algorithm seeks to find the optimal values ​​for the parameters of the neural network method, so optimal solutions of the memetic algorithm is considered to be used to set parameters for the neural network method. The results of this study show the desirable performance of the proposed approach in this study.
Assessment of Carbon-Related Scenarios for Tourism Development in the Island of Lefkada in Greece

To address the adverse impact of climate change, the concept of low-carbon tourism has recently been developed, which promotes a new way of travelling to obtain higher value and travel experience for tourists as well as more social, economic, and environmental benefits for society by reducing carbon emissions caused by tourists’ activities. The present study proposes and applies a methodological approach to assess various carbon-related scenarios for tourism development on the island of Lefkada, Greece. The methodology includes two phases: the diagnosis and the assessment phase. The diagnosis phase includes four distinct steps: (i) SWOT analysis, (ii) STEEP analysis, (iii) identification of driving forces (DF) and (iv) formulation of four tourism development scenarios based on two axes of uncertainty. The assessment phase includes: (i) a pairwise comparison of DF and (ii) selection of the preferred tourism development scenario. A combination of two multicriteria analyses, namely the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), is implemented to rank the four tourism development scenarios. The two most essential driving forces for defining the priority order of the tourism development scenario are National Policies—Green Development and Local Community Awareness. The scenario that promotes low-carbon tourism is the preferred scenario for the study area. The presented research results could provide a reference for relevant tourism development in the study area and the proposed methodology can be applied in all tourism destinations.
Development of New Performance Measures Based on Data Mining Weights for Hotspot Identification

In this study, new performance measures are proposed for hotspot identification in urban intersections. These measures reflect severity factor weights, which are determined based on data mining. To estimate the severity factor weights of crashes at urban intersections, the study utilizes tree-based random forest (RF) and extreme gradient boosting (XGB) methods. The importance of variables in the severity classification model is standardized and utilized for calculating the score of each crash, which is aggregated into intersections. The aggregated score is used as a dependent variable for the safety performance functions (SPFs) in the network screening process. To illustrate the under-dispersed severity score aggregation data, SPFs that follow the COM-Poisson distribution as well as the negative binomial (NB) are developed. Independent variables in SPFs set up intersection geometry elements that can be collected from online GIS services. Four additional performance measures are proposed, each reflecting a severity weight. Data about a total of 42,513 intersection crashes from 2017 to 2018 in South Korea were collected for crash injury severity analysis. Hotspot identification was performed on 81 intersections, and three consistency tests were conducted to validate the four measures. Tests show that the RF-based weighted N pred , RF and N EPDO , RF have the best consistency. Since the severity factor weights of each crash are reflected, intersections vulnerable to dangerous crashes can be analyzed in more detail. Using this method, it is expected that effective safety improvement project plans can be established with the input of safety managers in the future.
Numerical investigation on seismic behavior of steel frame equipped with steel plate shear wall

Steel plate shear walls (SPSW) are considered one of the most common and acceptable lateral resisting structural systems for steel structures due to their excellent seismic performance. This system offers several advantages over the other usual lateral load resisting systems such as the conventional braces. Steel saving, installation easiness, reduced foundation cost, and providing major stiffness against building drift are some apparent advantages of the steel plate shear walls. This paper describes and investigates the effect of using steel plate shear walls on the behavior of steel frames. Therefore, finite element (FE) analysis was adopted using ABAQUS software to simulate two steel frames equipped with a steel plate shear wall and conventional brace under cyclic loads. Eigenvalue buckling analysis was conducted as a preliminary analysis and the results were introduced to define the initial imperfection for a realistic simulation. The important seismic parameters including the lateral stiffness, the ultimate shear capacity, energy dissipation, and ductility are investigated using static nonlinear analysis after confirming a good agreement with the results of nonlinear dynamic analysis of the laboratory sample. The numerical results indicated that using SPSW as lateral-load resisting gives higher stiffness, ultimate strength, higher ductility and energy absorption than the conventional brace frame.
Non-binary language in Spanish? Comprehension of non-binary morphological forms: a psycholinguistic study

There is empirical evidence in different languages ​​on how the computation of gender morphology during psycholinguistic processing affects the construction of sex-generic representations. However, there are few experimental studies in Spanish and there is no empirical evidence that analyzes the psycholinguistic processing of morphological innovations used as non-binary forms (-x; -e) in contrast to the generic masculine variant (-o). To analyze this phenomenon, we designed a sentence comprehension task. We registered reading times, precision and response times. The results show the specialization of non-binary forms as generic morphological variants, as opposed to the generic masculine. The non-binary forms consistently elicited a reference to mixed groups of people and the response times indicated that these morphological variants do not carry a higher processing cost than the generic masculine. Contrary to what classical grammatical approaches propose, the generic masculine does not function in all cases as generic and its ability to refer to groups of people without uniform gender seems to be modulated by the stereotipicality of the role names.
A Review of the Participant Observation Method in Journalism: Designing and Reporting

The participant observation method involves numerous methodological competencies and procedures, yet no systematic research has been found to date that evaluates the qualitative practice. The method has played a foundational role in the field of journalism and is growing in use among researchers. Despite its contributions to knowledge about organizations, movements, and cultures, the procedures that encompass the method may be unfamiliar or unclear for some researchers according to the literature. The study analyzed journalism researchers’ reporting of methodological information in studies involving news contexts and assessed scholars’ adherence to methodological reporting best practices in 150 journal articles. The results showed participant observation researchers employed data trustworthiness techniques by primarily using qualitative formal interviews and they also provided site selection logic. The results, however, also showed evidence of methodological conceptual ambiguity when referring to participant observation method techniques and low reporting of several specific recommended techniques associated with participation observation. The narrative reflects our desire to help other researchers learn more about the method, while also encouraging methodological transparency to improve the collective understanding of the method. We put forth eight participant observation reporting recommendations rooted in anthropology and sociology to consider when reporting methodological practices. The hope is this introduction and the proposed measures will initiate discussions and support community around the practice of participant observation.