Miracle-dz/UniFAR-FTUs huggingface dataset:
A polarization‐reconfigurable array design based on mode combination technique

This article reports a novel polarization‐reconfigurable antenna array using the technique of mode combination (MC). It can electronically alter its polarization states between left‐hand circular polarization mode, right‐hand circular polarization mode, and linear polarization (LP) mode. The antenna array consists of 2 × 2 microstrip antenna elements with one L‐slot on each square patch and two PIN diodes located in the slot region. Instead of degenerating circular polarization (CP) and LP modes by exciting different radiation parts of the antenna element, the LP one is combined by orthogonal CP modes generated by adjacent elements of the proposed antenna array. To verify the concept, a prototype is manufactured and tested. Experimental results show that the proposed antenna has an overlapped −10 dB impedance bandwidth of around 11.2% for both CP modes and the LP one. The realized maximum gains are around 7.5 dB for the CP modes and 5.6 dB for the LP mode, which are satisfactory for wireless local area network in wireless communication systems.
Analysis and Design of Circularly Polarized Capacitively-Fed Planar Suspended Antenna for Universal UHF RFID Applications

This research paper deals with the design of a circularly polarized reader antenna with a tennis ball-shaped radiating plate that operates at a frequency range of 860-960 MHz with the center frequency of 910 MHz. In the fabrication of the tennis ball-shaped radiating plate, a small annularring slot was first created on a circular radiating plate, followed by two diagonally opposite large arc-shaped annular-ring slots on either edge of the circular radiating plate and then the truncation of the corners of the remaining main element of the plate. A prototype antenna with the final tennis ball-shaped plate was subsequently assembled prior to excitation by the capacitively coupled feed technique to enhance |S11| bandwidth. The prototype antenna could achieve an average gain of 6.18 dBic, |S11| covering the frequency range of 837.6-966.2 MHz, and the circular polarization of 850.6-963.5 MHz, making it suitable for universal UHF RFID applications. In addition, simulations were carried out using CST Microwave Studio for comparison with the experimental results. Streszczenie. W artykule zaprezentowano projekt anteny o kształcie piłki tenisowej pracujacej w zakresie częstotliwopści 860 – 960 MHz. Prototyp anteny pokrywał zakrs 837.6 – 966.2 MHz co spełnia wymagania uniwersalnej komunikacji UHF RFID. Projekt i analiza planarnej anteny cyrkularnie polaryzowanej do zastosowań w UHF RFID transmisji danych
Algorithm for Greening Big Data Networks in Iraq Under Veracity Dimension

This work examines ways to improve energy efficiency in big data networks in Iraq under the veracity dimension by designing an IP/WDM Network in Iraq for processing big data and developing an algorithm that condenses the distinctive features of veracity. The analysis is based on preparing big data chunks for progressive processing after performing cleansing operations as proposed in this work. This is done in Processing Nodes (PNs) that consist of several servers and their associated network equipment, such as switches and routers. The PNs are distributed in the network for each city, and the cleansed data is handled at each PN, reducing the size of valuable data to be transmitted. Each cleansed chunk is also stored in a Backup Node (BN) for future use. Around a 50% power saving is achieved using this technique compared to the traditional method with no progressive processing.
Model Testing of Complex Embedded Systems Using EAST-ADL and Energy-Aware Mutations

Nowadays, embedded systems are increasingly complex, meaning that traditional testing methods are costly to use and infeasible to directly apply due to the complex interactions between hardware and software. Modern embedded systems are also demanded to function based on low-energy computing. Hence, testing the energy usage is increasingly important. Artifacts produced during the development of embedded systems, such as architectural descriptions, are beneficial abstractions of the system’s complex structure and behavior. Electronic Architecture and Software Tools Architecture Description Language (EAST-ADL) is one such example of a domain-specific architectural language targeting the automotive industry. In this paper, we propose a method for testing design models using EAST-ADL architecture mutations. We show how fault-based testing can be used to generate, execute and select tests using energy-aware mutants—syntactic changes in the architectural description, used to mimic naturally occurring energy faults. Our goal is to improve testing of complex embedded systems by moving the testing bulk from the actual systems to models of their behaviors and non-functional requirements. We combine statistical model-checking, increasingly used in quality assurance of embedded systems, with EAST-ADL architectural models and mutation testing to drive the search for faults. We show the results of applying this method on an industrial-sized system developed by Volvo GTT. The results indicate that model testing of EAST-ADL architectural models can reduce testing complexity by bringing early and cost-effective automation.
Additional file 1: Table S1. of Improving delivery of secondary prophylaxis for rheumatic heart disease in remote Indigenous communities: study protocol for a stepped-wedge randomised trial

Suggested activities for each theme of the Chronic Care Model. This table provides a detailed description of the types of activities which participating health centres may adopt, in order to improve delivery of secondary prophylaxis for rheumatic fever/rheumatic heart disease. The suggested activities are categorised according to which theme of the chronic care model they best relate to. (DOCX 23 kb)
Effects of Different Durations of Static Stretching on Flexibility, Jumping, Speed and Agility Performance

Abstract The aim of this paper was to research the effect of different static stretching time on some physical performance parameters. A total of 25 male volunteers who were actively involved in sports participated in the study. Flexibility, jumping, speed and agility performances of all the participants were measured after static stretching exercises on 5 different days and within different durations (no stretching, 10 seconds, 20 seconds, 30 seconds, 40 seconds). After static stretching performed in all durations, the value of flexibility was discovered to be higher than the state in which no stretching is performed (p<0.01). The jumping height after static stretching exercises performed in different durations is lower than the state in which no stretching is performed (p<0.01). 20 m running time and agility performance did not differ among the five trials. It was found that the length of static stretching duration increased in flexibility. Also, static stretching decreased vertical jumping performance and did not affect speed and agility.
Relationship Quality in the Hospitality Industry: Critical Review and Future Directions

In the highly competitive hotel industry, relationship management is of utmost importance. Not only effective relationship management helps loyalty and repurchase, but it is also found to have a direct influence on organizational performance. The effect of relationship management is dependent on the construct of relationship quality. The aim of the paper is to critically analyze the existing literature on the antecedents and outcomes of Relationship Quality in the context of hospitality industry.
The mobility of arsenic from highly polluted farmlands to wheat: Soil–Plant transfer model and health risk assessment

Arsenic (As) can be transferred from soil and accumulated in food plants. So far, we have a knowledge gap about transference of As from agricultural soils to wheat plant in the natural polluted environment. The aim of present study was to investigate As transfer from soil to different tissues of wheat at a highly As polluted area. In this regard, the mobility indices were used to explain As transfer and accumulation from soil to wheat plant. Moreover, the relationships between soil properties including soil As content, pH, cation‐exchange capacity (CEC), electrical conductivity (EC), organic matter (OM), Fe, and Al percentage with As concentrations in wheat root, straw, and grain were investigated. Finally, the potential health risks of As exposure to humans through consumption of the local wheat crops were assessed. According to the results, harmful degree of As was accumulated in different parts of wheat plant. The impact of different soil properties on As accumulation in wheat was found to be as follows: soil As content > Al% > Fe% > OM > pH > CEC > EC. High carcinogenic and noncarcinogenic risks in all age groups of consumers were found. The minimum and maximum values for target hazard quotient and excess lifetime cancer risk were found to be 1.22, 102.97 and 0.000061, 0.33, respectively. These findings strongly support the notion that As can be entered to food chain through agricultural products cultivated in polluted soils.
Temporal Dynamics of the Neural Representation of Social Relationships

Humans can rapidly encode information from faces to support social judgments and facilitate interactions with others. We can also recall complex knowledge about those individuals, such as their social relationships with others, but the time course of this process has not been examined in detail. This study addressed the temporal dynamics of emerging visual and social relationship information using EEG and representational similarity analysis. Participants (female = 23, male = 10) became familiar with a 10-person social network, and were then shown faces of that network's members while EEG was recorded. To examine the temporal dynamics of the cognitive processes related to face perception, we compared the similarity structure of neural pattern responses to models of visual processing, face shape similarity, person identity, and social relationships. We found that all types of information are associated with neural patterns after a face is seen. Visual models became significant early after image onset, and identity across a change in facial expression was uniquely associated with neural patterns at several points throughout the time course. Additionally, a model reflecting perceived frequency of social interaction was present beginning at ∼110 ms, even in the absence of an explicit task to think about the relationships among the network members. This study highlights the speed and salience of social information relating to group dynamics that are present in the brain during person perception. SIGNIFICANCE STATEMENT We live our lives in social groups where complex relationships form among and around us. It is likely that some of the information about social relationships that we observe is integral during person perception, to better help us interact in differing situations with a variety of people. However, when exactly this information becomes relevant has been unclear. In this study, we present evidence that information reflecting observed relationships among a social network is spontaneously represented in whole-brain patterns shortly following presentation of a face. These results are consistent with neuroimaging studies showing spontaneous spatial representation of social network characteristics, and contribute novel insights into the timing of these neural processes.
Risk factors of soil-transmitted helminth infection among elementary school students

Background Helminth infection remains a health problem, especially in school-aged children. Mass eradication programs with a single dose of anti-helminthic drugs were employed by the local government in some endemic areas in Bali. However, the effectiveness of the programs has not been well evaluated. Objective To investigate prevalence and possible risk factors of helminth infection, including nutritional status, in elementary school students from endemic areas who participated in mass eradication programs. Methods This cross-sectional study involved 126 students from Elementary School No. 3 Gegelang, Karangasem, Bali, a location that had recently undergone a mass eradication program. Diagnoses were based on direct smear examination of fecal specimens. Information on suspected risk factors and nutritional status were collected by questionnaire and anthropometric measurement, respectively. Statistical analyses included Chi-square and odds ratio, using SPSS v21 software. Results The prevalence of helminth infection was 31.7% with etiologies of Trichuris trichuria (75%), Ascaris lumbricoides (17.5%) , or both infections (7.5%). Habits of not using footwear [OR=4.88; 95%CI 1.15 to 20.65], not keeping nails trimmed [OR=3.33; 95%CI 1.07 to 10.37], and absence of a proper toilet [OR=4.31; 95%CI 1.93 to 9.64] were found to be significant risk factors for helminth infection. However, we found no significant association between helminth infection and nutritional status, although a considerable number of students had less than normal reference values, in terms of weight, height, and BMI for age. Conclusion The prevalence of helminth infection continues to be high, with personal hygiene and sanitation as significant risk factors. History of mass eradication programs did not confer an effective protection against helminth infection.
Re: Subcentimeter Pulmonary Nodules Are Not Asso- ciated with Disease Progression in Patients with Renal Cell Carcinoma

Patients with less favorable clinical tumor characteristics were selected to undergo preoperative chest CT. Overall, the CT cohort had worse outcomes; however, in patients with American Joint Committee on Cancer (AJCC) stage I, no difference in outcomes was seen between patients receiving or not receiving chest CT. Overall, 51% of patients with chest CT had IPNs. The 5-yr Kaplan-Meier estimation showed that 27% of patients with IPNs between 1 and 2 cm developed lung metastasis compared with 10% of those with subcentimeter nodes and 9% of those without IPNs. IPNs sized 1–2 cm but not the presence of IPNs was a risk factor for any outcome in multivariable analysis. Addition of IPN size to a model based on stage, size, and histology slightly increased the discriminative ability for lung or any distant metastasis but not for RCC death. Expert’s comments: Although limited by its retrospective value, the study by Mano et al is interesting. Their data support the irrelevance of subcentimeter IPNs found in preoperative chest CT of a suspected RCC; what matters is the IPN size but not the number of IPNs. Thus the presence of a preoperative IPN <1 cm should not lead to further investigation or alter follow-up schema. Also relevant is the fact that chest CT may be unnecessary at AJCC stage I. Major guidelines currently recommend thorax imaging at staging, but there is a lack of unanimity about the test
Non-Intrusive Load Disaggregation by Convolutional Neural Network and Multilabel Classification

Non-intrusive load monitoring (NILM) is the main method used to monitor the energy footprint of a residential building and disaggregate total electrical usage into appliance-related signals. The most common disaggregation algorithms are based on the Hidden Markov Model, while solutions based on deep neural networks have recently caught the attention of researchers. In this work we address the problem through the recognition of the state of activation of the appliances using a fully convolutional deep neural network, borrowing some techniques used in the semantic segmentation of images and multilabel classification. This approach has allowed obtaining high performances not only in the recognition of the activation state of the domestic appliances but also in the estimation of their consumptions, improving the state of the art for a reference dataset.
Nutritional status of exotic and indigenous vegetables

ABSTRACT Indigenous vegetables are available at low cost but there is little information about their nutritional composition. The study was conducted to compare the nutritional status of exotic and indigenous vegetables. Most indigenous vegetables contained more minerals than exotic vegetables. Potassium was the most abundant macro-element (135–746 mg/100 g) followed by phosphorus (16–98 mg/100 g). The most calcium was in leaves of Colocasia esculenta (L) (238 mg/100 g). The most magnesium (91 mg/100 g) and Vitamin-C (76 mg/100 g) was in Nymphaea nouchali (Burman) bulb, and Brassica oleracea (L), respectively. Regular consumption of indigenous vegetables may meet nutritional requirements in the human diet.
Functional plasticity and evolutionary adaptation of allosteric regulation

Significance Allostery is a fundamental mechanism by which proteins recognize environmental cues and elicit a response at a distal site. Allosteric signaling is essential in the regulation of myriad cellular processes, yet its molecular basis is poorly understood. Compared to traditional approaches that rely on structure to understand allostery, we chose a high-throughput function-centric approach. Using systematic mutagenesis, we found allosteric signaling to be highly adaptable where a mutation that inactivates allostery can be functionally compensated by another distal mutation. Although functionally important, allosteric hotspots, residues critical for signaling, were poorly conserved. In contrast, residues important for structural stability are significantly conserved, suggesting evolution selects fold over function. Our approach can lead to broad molecular principles of allostery. Allostery is a fundamental regulatory mechanism of protein function. Despite notable advances, understanding the molecular determinants of allostery remains an elusive goal. Our current knowledge of allostery is principally shaped by a structure-centric view, which makes it difficult to understand the decentralized character of allostery. We present a function-centric approach using deep mutational scanning to elucidate the molecular basis and underlying functional landscape of allostery. We show that allosteric signaling exhibits a high degree of functional plasticity and redundancy through myriad mutational pathways. Residues critical for allosteric signaling are surprisingly poorly conserved while those required for structural integrity are highly conserved, suggesting evolutionary pressure to preserve fold over function. Our results suggest multiple solutions to the thermodynamic conditions of cooperativity, in contrast to the common view of a finely tuned allosteric residue network maintained under selection.
A cross sectional study of prevalence of internet addiction and its association with mental health among college going students in Nagpur city

The Internet has become an integral part of life. Moreover, Internet has the touch in each and every aspect of human life. There is an emerging public health concern over the increase in Internet usage, particularly among college going students. Today, 1.2 billion adolescents stand at the crossroads between childhood and the adult world. Around 243 million of them live in India. India is the third largest country in the world next to china and United States in respect of the number of internet users. GSMA 2017 report tells that from 2016 to 2020, subscriber penetration will be increased from 51 % to 65 ABSTRACT
Deep Learning Approaches for the Mapping of Tree Species Diversity in a Tropical Wetland Using Airborne LiDAR and High-Spatial-Resolution Remote Sensing Images

The monitoring of tree species diversity is important for forest or wetland ecosystem service maintenance or resource management. Remote sensing is an efficient alternative to traditional field work to map tree species diversity over large areas. Previous studies have used light detection and ranging (LiDAR) and imaging spectroscopy (hyperspectral or multispectral remote sensing) for species richness prediction. The recent development of very high spatial resolution (VHR) RGB images has enabled detailed characterization of canopies and forest structures. In this study, we developed a three-step workflow for mapping tree species diversity, the aim of which was to increase knowledge of tree species diversity assessment using deep learning in a tropical wetland (Haizhu Wetland) in South China based on VHR-RGB images and LiDAR points. Firstly, individual trees were detected based on a canopy height model (CHM, derived from LiDAR points) by the local-maxima-based method in the FUSION software (Version 3.70, Seattle, USA). Then, tree species at the individual tree level were identified via a patch-based image input method, which cropped the RGB images into small patches (the individually detected trees) based on the tree apexes detected. Three different deep learning methods (i.e., AlexNet, VGG16, and ResNet50) were modified to classify the tree species, as they can make good use of the spatial context information. Finally, four diversity indices, namely, the Margalef richness index, the Shannon–Wiener diversity index, the Simpson diversity index, and the Pielou evenness index, were calculated from the fixed subset with a size of 30 × 30 m for assessment. In the classification phase, VGG16 had the best performance, with an overall accuracy of 73.25% for 18 tree species. Based on the classification results, mapping of tree species diversity showed reasonable agreement with field survey data (R2Margalef = 0.4562, root-mean-square error RMSEMargalef = 0.5629; R2Shannon–Wiener = 0.7948, RMSEShannon–Wiener = 0.7202; R2Simpson = 0.7907, RMSESimpson = 0.1038; and R2Pielou = 0.5875, RMSEPielou = 0.3053). While challenges remain for individual tree detection and species classification, the deep-learning-based solution shows potential for mapping tree species diversity.
Characterization and valorization of olive pomace for production of cellulase from Trichoderma reesei RUT C30 in solid-state fermentation

Abstract: The aim of the present work is to characterize the olive pomace (physico-chemical and microbiological properties) of four regions known by their high production of olive oil in the north of Algeria and to valorize the lignocellulosic biomass as culture substrate for cellulases production using Trichoderma reesei RUT C-30. The results obtained show that the olive pomace is a favorable environment for the growth of fungi. The load of total aerobic mesophilic flora, yeasts and molds varies from 0.45×10 6 to 1.36×10 8 CFU/g DM and from 2×10 6 to 4.76×10 7 CFU/g DM, respectively. Physico-chemical parameters of the four regions revealed significant differences (p<0.05). The determination of filter paper activities of enzymatic extracts reveals that olive pomace from Jijel presented the best activity (0.78 U/gds).