Miracle-dz/UniFAR-FTUs huggingface dataset:
Vegetative Growth and Quality of Blueberry Fruit Cultivated in Chihuahua, Mexico

The aim of this investigation was to evaluate the vegetative growth and some physicochemical quality parameters in fruits of different varieties of blueberries grown with amendments applied to the soil. The experimental design was completely randomized according to factorial treatments with nine replications. Length and number of shoots, flower buds number, total soluble solids (TSS), pH, color, total anthocyanins (TA), total phenols (TP) and antioxidant capacity (AC) were evaluated. The application of gypsum, sulphur and compost increased the shoots number in the varieties ‘Bluejay’ and ‘Duke’ with values from 15 and 17.5, respectively. The ‘Duke’ variety was the latest with regard to the flowering stage, evading the problem of frost. Among varieties, ‘Bluejay’ and ‘Blueray’ stood out for presenting fruits with greater acidity and antioxidant capacity (89.1 and 91.5% DPPH inhibition, respectively), however, the TP was higher in ‘Bluejay’ (701.6 mg gallic acid 100 g-1). The use of gypsum, sulphur and compost allows obtaining fruits with high soluble solids content (9.8 °Brix), however, the antioxidant capacity was similar when pine peel was included, with AC values from 91.4 and 88.8% DPPH inhibition, respectively. The amendments such as gypsum, sulphur and compost incorporated into the soil allow an adequate vegetative growth and the obtaining of blueberry fruits with physicochemical quality characteristics acceptable for their commercialization.
A Review Paper on mhealth Continuous Intention Among Diabetes Users in The Developing Countries

Technology interaction is nowadays the key player in the society problem solving in all aspects of human live. Recently, mobile health as one of innovative technological tools was introduced to bridge the health quality and capacity gaps. Yet, the proportion of mhealth users still low, especially in developing countries such as Arab World Countries. The past studies developed several theories and concepts with aiming to provide empirical models to improve the use of mhealth. Yet, most of them focused on either mhealth adoption from technological motivations or intention to use. This leaves a gap in the sustainability of mhealth. Therefore, this review paper aims to discuss the related work on mhealth types and its effectiveness in several diseases such as diabetes. The finding of this paper emphasizes that both technological and technological factors based on Technology Task Fit and Technology Acceptance Model are important to address mhealth continuous to use. This study also confirms that both objective and subjective measurements are important to ensure the quality of data analysis
Sexual selection, environmental robustness, and evolutionary demography of maladapted populations: A test using experimental evolution in seed beetles

Whether sexual selection impedes or aids adaptation has become a pressing question in times of rapid environmental change and parallels the debate about how the evolution of individual traits impacts on population dynamics and viability. The net effect of sexual selection on population viability results from a balance between genetic benefits of “good genes” effects and costs of sexual conflict. Depending on how these facets of sexual selection are affected under environmental change, extinction of maladapted populations could either be avoided or accelerated. Here, we evolved seed beetles under three alternative mating regimes (polygamy, monogamy and male-limited selection) to disentangle the contributions of sexual selection, fecundity selection and male-female coevolution to individual reproductive success and population fitness. We compared these contributions between the ancestral environment and two new stressful environments (temperature and host plant shift). Evolution under polygamy resulted in the highest individual reproductive success in competitive context for both sexes. Moreover, females evolving only via sexual selection on their male siblings in the male-limited regime had similar reproductive success and higher fertility than females evolving under monogamy, suggesting that sexual selection on males had positive effects on female fitness components. Interestingly, male-limited sexual selection resulted in males that were robust to stress, compared to males from the two evolution regimes applying fecundity selection. We quantified the population-level consequences of this sex-specific adaptation and found evidence that costs of socio-sexual interactions were higher in male-limited lines compared to polygamous lines, and that this difference was particularly pronounced at elevated temperature to which males from the male-limited regime were more robust compared to their conspecific females. These results illustrate the tension between individual-level adaptation and population-level viability in sexually reproducing species and suggest that sex-specific selection can cause differences in environmental robustness that may impact population demography under environmental change.
How to Shape the Employees’ Sustainable Work Attitude: The Moderating Effect of Supervisor Attitudes

Education and training not only play the key role to promote the sustainable ability of employees, but in the establishment of employees’ work attitudes as well. Moreover, leaders play an important role in promoting the effectiveness of education and training. The objectives of this study were to explore the effect of the police department’s annual subject training on the work attitudes of harbor police. This study also examined the moderating effect of supervisor attitudes on the association between police training effectiveness and police’s work attitudes in expectation to more concretely understand the role of supervisor attitudes in the harbor police’s annual subject training, to consolidate the good work attitude of the police for sustainability. The frontline police officers of Taiwan’s harbor police agency were chosen as the study population. This study adopted the convenience sampling method to conduct the questionnaire survey in August 2019. It requested for the respondents who replied to the questionnaire within 15 days after receiving the questionnaire to be considered as the first respondents. For those who replied to the questionnaire no later than one month were considered as the second respondents. This paper collected a total of 584 questionnaires and 492 were valid. The result of this study showed that education and training had a highly positive effect on the work attitudes of police officers. Moreover, the overall attitudes of supervisors toward police education and training were found to have a significantly positive moderating effect on the association between education and training effectiveness and the police’s work attitudes. The results of this study prove the linkage between the effectiveness of education and training and the supervisor attitudes.
ADEQUAÇÃO DIALÍTICA E ESTADO NUTRICIONAL DE INDIVÍDUOS EM HEMODIÁLISE / DIALITICAL ADEQUACY AND NUTRITIONAL STATUS OF HEMODIALYSIS INDIVIDUALS

Introduction: Patients with chronic kidney disease undergoing hemodialysis are at high risk for developing nutritional disorders, with a strong relationship between nutritional status, quality of life and mortality with dialysis adequacy. Objective: To evaluate the nutritional status and dialysis adequacy among individuals with chronic kidney disease on hemodialysis. Methods: crosssectional study carried out with 110 patients on hemodialysis in the city of Recife PE, in 2016. Nutritional status was assessed by the Body Mass Index (BMI), adequacy of the arm circumference (AC), waist circumference (WC). Dialysis adequacy was assessed by the methods of Urea Kinetics (Kt/V) and Urea Removal Percentage (PRU). Results: Malnutrition was prevalent in 17.3% and 53.7% by BMI and AC, respectively, with the worst indicators in males. Overweight showed rates of 33.7% and 9% by BMI and CB. 64.5% of the sample had some risk of developing metabolic diseases. Dialysis efficiency demonstrated that approximately half of the population receives insufficient treatment: 48.6% by Kt/V and 55% by PRU, with better values in females. Conclusions: High rates of malnutrition and dialysis insufficiency were observed, varying according to the method used.
Crossing the Nernst Limit (59 mV/pH) of Sensitivity Through Tunneling Transistor-Based Biosensor

In this work, an underlap structure of tunneling field-effect transistor (TFET) containing electrolyte/watery solution is examined to enhance the Nernst limit (59 mV/pH) of sensitivity. After incorporating the electrolyte medium in TFET, effect of pH variation on device characteristics such as drain current vs front gate voltage, voltage sensitivity, and current sensitivity are investigated. The interface charge density at the oxide-silicon interface of TFET is obtained as a function of electrolyte pH from physics-based modelling. Voltage sensitivity value ~180 mV/pH that is greater than three times of Nernst limit of 59 mV/pH and current sensitivity value that is more than one decade per pH are observed for TFET based sensor. In order to validate the results, models used in TFET are well-calibrated with experimental data and the result of TFET are compared with inversion mode (IM) device. Results show that TFET gives superior performance than IM device; hence an underlap TFET can be a promising alternative for the next generation biosensor.
Representations of internationalisation at a Portuguese Higher Education Institution: From institutional discourse to stakeholders’ voices

Internationalisation has become a major concern of higher education institutions around the world, featuring as a goal in their mission statements and agendas. Yet, the ways it is perceived and addressed vary greatly. In some cases, internationalisation is viewed as a service to export, whilst in other cases the focus falls on the acquisition and development of graduates’ global and intercultural competences. This paper reports on a study that aimed to understand how internationalisation is perceived at a Portuguese Higher Education Institution. To achieve this goal institutional policy documents were collected, and semi-structured interviews were conducted with members of governing and coordinating bodies, as well as with academic and non-academic staff. Results from thematic analysis suggest that internationalisation is seen as a priority at the highest strategic level, being associated with a set of activities (student mobility, international research projects, and English-medium instruction) and with a set of desired outcomes (increased revenues and institutional visibility). Moreover, stakeholders consider internationalisation a valuable asset for the development of students’ skills, expressing positive attitudes towards such initiatives as “internationalisation at home”. Based on these findings, recommendations for a more comprehensive and sustainable internationalisation approach applicable to other contexts are put forward.
A Voltage-Controlled Tunable Differential Dual-Band Bandpass Filter With Compact Size and Wide Tuning Range

A compact differential tunable dual-band bandpass filter is achieved by using cascaded capacitor-loaded coupled microstrip lines and voltage-controlled varactors. Six differential-mode (DM) transmission zeros (TZs), four DM transmission poles (TPs), and four common-mode (CM) TZs can be obtained by controlling values and positions of capacitors and the even-odd mode impedances of coupled microstrip lines. What's more, the first three DM TZs, two TPs and three CM TZs will change with the capacitance of varactors. Thus, the proposed filter possesses a tunable lower passband and a fixed upper passband. Compared with the state-of-the-art differential tunable DBBFs, the proposed design has the advantages of wide tuning range, compact size, low number of control voltages, and simple structure. Theoretic analysis, parametric study and design procedure are carried out completely. A prototype with the size of 58.2 × 10.1 mm (1.13 λg × 0.20 λg, λg is the microstrip guided wavelength at the center frequency of the upper passband) is designed for demonstration, which exhibits the center frequency of the lower passband can be tuned from 1.55 to 2.42 GHz. Meanwhile, the center frequency and 3-dB bandwidth of the upper passband keep constant at 3.79 GHz and 8.5%, respectively.
WiHF: Gesture and User Recognition With WiFi

User identified gesture recognition is a fundamental step towards ubiquitous WiFi based sensing. We propose WiHF, which first simultaneously enables cross-domain gesture recognition and user identification using commodity WiFi in a real-time manner. The basic idea of WiHF is to derive a domain-independent motion change pattern of arm gestures from WiFi signals, rendering the unique gesture characteristics and the personalized user performing styles. To extract the motion change pattern in real time, we develop an efficient method based on the seam carving algorithm. Moreover, taking as input the motion change pattern, a deep neural network (DNN) is adopted for both gesture recognition and user identification tasks. In DNN, we apply splitting and splicing schemes to optimize collaborative learning for dual tasks. We implement WiHF and extensively evaluate its performance on a public dataset including 6 users and 6 gestures performed across 5 locations and 5 orientations in 3 environments. Experimental results show that WiHF achieves 97.65 and 96.74 percent for in-domain gesture recognition and user identification accuracy, respectively. The cross-domain gesture recognition accuracy is comparable with the state-of-the-art method, but the processing time is reduced by 30×.
Bridging the Reality Gap: Investigation of Deep Convolution Neural Networks Ability to Learn from a Combination of Real and Synthetic Data

Recent advances in data-driven approaches especially deep learning and its application on visual imagery have drawn a lot of attention in recent years. The lack of training data, however, highly affects the model accuracy and its ability to generalize to unseen scenarios. Simulators are emerging as a promising alternative source of data, especially for vision-based applications. Nevertheless, they still lack the visual and physical properties of the real world. Recent works have shown promising approaches to close the reality gap and transfer the knowledge obtained in simulation to the real world. This paper investigates Convolution Neural Networks (CNNs) ability to generalize and learn from a mixture of real and synthetic data to overcome dataset scarcity and domain transfer problems. The evaluation results indicate that the CNN models trained with real and simulation data generalize to both simulation and real environments. However, models trained with only real or simulation data fails drastically when it is transferred to an unseen target environment. Furthermore, the utilization of simulation data has improved model accuracy significantly.
RST Discourse Structure Improves Story Ending Generation

Conventionally, an encoder-decoder sequence generation model is applied for predicting the ending sentence. Here, the encoder turns the source sentences into fixed-length vectors, then the decoder produces the resultant sequence with the help of attention mechanism. Two existing works can be found in literature on this task. Each work puts an unique assumption on the contextual structure of sentences in a story. The most common modelling approach [14, 5] is to concatenate the contextual sentences, forming a long sequence and encode it. In this approach, all contextual sentences can be directly accessed by the decoder. Therefore, the sentences are considered equally important. To capture the order and the relationships between adjacent sentences, Guan et al. [4] represents context clues by incrementally encoding contextual sentences from left to right to build a context vector. The decoder then observes the context vector containing information from all previous sentences. In this approach, latter sentences are considered as more important. Fig. 1a shows the implicit discourse structure in this case. Story Cloze Test is a task that given contextual sentences, one has to select one correct ending from given candidates. Srinivasan et al. [11] found that Sentence1 Sentence2 Sentence K . Node Node Root
MVANet: Multi-Task Guided Multi-View Attention Network for Chinese Food Recognition

Food recognition plays a much critical role in various health-care applications. However, it poses many challenges to current approaches due to the diverse appearances of food dishes and the non-uniform composition of ingredients for the foods in the same category. Current methods primarily focus on the appearance of foods without considering their semantic information, easily finding the wrong attention areas of food images. Second, these methods lack the dynamic weighting of multiple semantic features in the modeling process. Thus this paper proposes a novel Multi-View Attention Network within the multi-task learning framework that incorporates multiple semantic features into the food recognition task from both ingredient recognition and recipe modeling. It also utilizes the multi-view attention mechanism to automatically adjust the weights of different semantic features and enables different tasks to interact with each other so as to obtain a more comprehensive feature representation. The experiments conducted on both ChineseFoodNet and VIREO Food-172 benchmark databases validate the proposed method with the obvious improvement of the performance and the lower parameter size.
Exploring Pre-Service Teacher’s Perspectives on Teaching Young Children Bilingually

This paper discusses how pre-service kindergarten teachers view bilingual teaching. The research is a preliminary study that involved 240 pre-service teachers studying at a university in Jakarta. Data were collected through an online questionnaire and analyzed with descriptive statistics and factor analysis. The results depict that the majority of the participants agree on the importance of having bilingual capacity and believe that children will develop better learning ability when taught two languages since early age. However, a contradictory view is shown when more than half of the participants consider that teaching a foreign language should be done after the children acquire their mother tongue. The results showed that bilingual ability and sequence of acquisition were key variables that informed teachers’ perspective on bilingualism. The discussion in this paper contributes to the conversation on the area of bilingualism and the importance of bilingual skill from the pre-service kindergarten teachers’ point
Developing a highly validated and sensitive HPLC method for simultaneous estimation of losartan and spironolactone in tablets and human plasma

An isocratic HPLC method had been developed and validated for rapid simultaneous separation and determination of the two antihypertensive drugs, losartan and spironolactone in tablet dosage forms and also in presence of human plasma within 6 minutes. Separation was carried out on a Thermo Scientific ® BDS Hypersil C 8 column (5 µm, 2.50×4.60 mm) using a mobile phase of ACN: 0.025 M KH 2 PO 4 (60:40, v/v) adjusted to pH 3.49 with ortho - phosphoric acid at ambient temperature. The flow rate was 1 ml/min and maximum absorption was measured using DAD detector at 235 nm. The retention times of losartan and spironolactone were recorded to be 3.47, and 4.63 minutes respectively, indicating a shorter analysis time. Limits of detection were reported to be 0.07 and 0.15 µg/ml for losartan and spironolactone, respectively, showing a high degree of the method sensitivity. The method was then validated according to FDA guidelines for the determination of the drugs either in tablets with highly precise recoveries or clinically in human plasma specially regarding pharmacokinetic and bioequivalence studies.
Low-Complexity Channel Allocation Scheme for URLLC Traffic

In this paper, we consider the downlink transmission of URLLC packets requiring very low latency and ultra-reliability. Because of the low latency constraint, the Base Station may not have enough time to acquire the instantaneous Channel State Information (CSI) of the corresponding device and has then to transmit urgent packets immediately in the absence of CSI. To enhance reliability, we explore frequency diversity where a packet can be simultaneously sent over multiple channels. Using a Markov Decision Process framework, we address the problem of dynamic channel allocation to the URLLC devices in absence of instantaneous CSI. More precisely, we define a multi-agent MDP wherein the state of each device is the packet loss rate experienced in the previous time slots and the decision variable is how to split the available orthogonal channels across the devices. We design a new low-complexity algorithm which avoids the exhaustive enumeration of all possible resource allocations and enables significant computational savings compared to the Value Iteration algorithm. We investigate the gap between our proposed low complexity algorithm and the Value Iteration policy. We provide numerical performance results and show that our algorithm can achieve more than 80% of the optimal reward with substantial computational complexity reduction.
Dynamic force signal analysis in dry finish turning of Aluminium metal matrix composites

Metal matrix composites (MMC) have found wide applications in the transportation sector. But, the presence of hard particles in the MMCs causes catastrophic tool failures. The current study presents a method to select process parameters to increase the material removal rate in finish turning of Al-MMC (Al 6061, 5% SiC, 3% C) using TiN coated carbide inserts. The key aspects of the method are (a) Using the fractional factorial method for performing experiments economically (b) Using radial force instead of cutting force (c) Using frame statistics and linear spectrum of the radial cutting force signal to select process parameters. The experiments were conducted on a precision lathe. A 6-component piezoelectric dynamometer was used to measure the cutting force.
Systematic framework for performance evaluation of exoskeleton actuators

Abstract Wearable devices, such as exoskeletons, are becoming increasingly common and are being used mainly for improving motility and daily life autonomy, rehabilitation purposes, and as industrial aids. There are many variables that must be optimized to create an efficient, smoothly operating device. The selection of a suitable actuator is one of these variables, and the actuators are usually sized after studying the kinematic and dynamic characteristics of the target task, combining information from motion tracking, inverse dynamics, and force plates. While this may be a good method for approximate sizing of actuators, a more detailed approach is necessary to fully understand actuator performance, control algorithms or sensing strategies, and their impact on weight, dynamic performance, energy consumption, complexity, and cost. This work describes a learning-based evaluation method to provide this more detailed analysis of an actuation system for our XoTrunk exoskeleton. The study includes: (a) a real-world experimental setup to gather kinematics and dynamics data; (b) simulation of the actuation system focusing on motor performance and control strategy; (c) experimental validation of the simulation; and (d) testing in real scenarios. This study creates a systematic framework to analyze actuator performance and control algorithms to improve operation in the real scenario by replicating the kinematics and dynamics of the human–robot interaction. Implementation of this approach shows substantial improvement in the task-related performance when applied on a back-support exoskeleton during a walking task.