Miracle-dz/UniFAR-FTUs huggingface dataset:
INTERRELATIONSHIP BETWEEN WORK AND PRIVATE LIFE OF EMPLOYEES - CONFLICT OR BALANCE?

Contemporary companies consider work-life balance a crucial topic. Higher work pressure, longer working hours and more families with both working parents have made balancing work and private life even more difficult. The paper addresses this interrelation and highlights two research questions regarding the type of relationship (positive or negative) that exists between work and private life of employees. These questions are answered based on the analysis of various previously conducted empirical research studies. Findings reveal both negative and positive interrelationship between employees' work and private life. The contributions and conclusions of this paper can be extremely relevant for a company to comprehend how important the creation of work-life balance initiatives is for increasing job satisfaction of its managers and other employees, as well as for developing the reputation of a desirable employer.
Conformational Stabilization of Gp41-Mimetic Miniproteins Opens Up New Ways of Inhibiting HIV-1 Fusion

Inhibition of the HIV-1 fusion process constitutes a promising strategy to neutralize the virus at an early stage before it enters the cell. In this process, the envelope glycoprotein (Env) plays a central role by promoting membrane fusion. We previously identified a vulnerability at the flexible C-terminal end of the gp41 C-terminal heptad repeat (CHR) region to inhibition by a single-chain miniprotein (named covNHR-N) that mimics the first half of the gp41 N-terminal heptad repeat (NHR). The miniprotein exhibited low stability, moderate binding to its complementary CHR region, both as an isolated peptide and in native trimeric Envs, and low inhibitory activity against a panel of pseudoviruses. The addition of a disulfide bond stabilizing the miniprotein increased its inhibitory activity, without altering the binding affinity. Here, to further study the effect of conformational stability on binding and inhibitory potency, we additionally stabilized these miniproteins by engineering a second disulfide bond stapling their N-terminal end, The new disulfide-bond strongly stabilizes the protein, increases binding affinity for the CHR target and strongly improves inhibitory activity against several HIV-1 strains. Moreover, high inhibitory activity could be achieved without targeting the preserved hydrophobic pocket motif of gp41. These results may have implications in the discovery of new strategies to inhibit HIV targeting the gp41 CHR region.
The Prevalence of Metabolically Healthy and Unhealthy Obesity Among Bariatric Surgery Candidates, According to ATPIII Criteria

Background/Aim: Previous studies have demonstrated that patients with obesity can be metabolically healthy. However, little is known about the healthy or unhealthy metabolic status of patients undergoing bariatric surgery. This study, therefore, assesses the prevalence of metabolically healthy (MHO) and unhealthy (MUO) obesity among bariatric surgery candidates. Methods: The study involved 713 bariatric surgery candidates (580 women and 133 men; age range 18-69 years). MHO and MUO were defined according to The National Cholesterol Education Program-Adult Treatment Panel III (ATP III). Results: Mean (±SD) patient age, weight, body mass index (BMI), waist and hip circumference were 40.44 (±10.26) years, 127.15 (±22.15) kg, 164.33 (±8.85) cm, 46.90 (±5.79) kg/m2, 122.57 (±13.93) cm, and 140.10 ( ±12.40) cm, respectively. 318 patients (44.6%) were classified as MHO and 395 (55.4%) as MUO. A higher percentage of participants aged 40 years and older suffered from unhealthy metabolic status (61%). Conclusion: A large percentage of bariatric surgery candidates are metabolically healthy. Additionally, the prevalence of MHO was higher at younger ages
Multi-band different polarized monopole antenna with modified ground for WLAN & Wi-MAX applications

ABSTRACT This paper presents the design and analysis of a multi-band, dual-polarised monopole antenna consisting of a simple equilateral triangular monopole patch configured with a modified ground structure (MGS). In the presented antenna design, quad-band dual-polarised operation has been obtained by creating the three unequal rectangular slots on the ground structure. The proposed monopole antenna produces four individual frequency bandwidths with the dual sense of polarisation, namely linear polarisation (LP) and circular polarisation (CP). The antenna produces quad-band behaviour with linear wave polarisation in Band1, whereas right-hand circular polarisation (RHCP) in rest frequency bands viz. Band2, Band3, and Band4. The measured impedance bandwidths spread from 2.50 to 4.42 GHz in band2; 5.22 to 6.28 GHz in band3; and 8.40 to 10.30 GHz in band4; whereas the impedance bandwidth extends from 1.35 to 2.14 GHz in linearly polarised band 1. The measured axial ratio bandwidth (ARBW) extends from 2.82 to 3.20 GHz in band2; 5.17 to 5.94 GHz in band3; and 9.30 to 9.70 GHz in band4, respectively. The constant gain profile has been observed in all frequency bands. The proposed antenna can be applied for WLAN/ WiMAX and Wi-Fi applications.
Pulsar Star Detection: A Comparative Analysis of Classification Algorithms using SMOTE

A Pulsar is a highly magnetized rotating compact star whose magnetic poles emit beams of radiation. The application of pulsar stars has a great application in the field of astronomical study. Applications like the existence of gravitational radiation can be indirectly confirmed from the observation of pulsars in a binary neutron star system. Therefore, the identification of pulsars is necessary for the study of gravitational waves and general relativity. Detection of pulsars in the universe can help research in the field of astrophysics. At present, there are millions of pulsar candidates present to be searched. Machine learning techniques can help detect pulsars from such a large number of candidates. The paper discusses nine common classification algorithms for the prediction of pulsar stars and then compares their performances using various classification metrics such as classification accuracy, precision and recall value, ROC score and f-score on both balanced and unbalanced data. SMOTE-technique is used to balance the data for better results. Among the nine algorithms, XGBoosting algorithm achieved the best results. The paper is concluded with prospects of machine learning for pulsar detection in the field of astronomy.
Design and Testing of a New Piezoelectric-Actuated Symmetric Compliant Microgripper

Precise and stable operations in micromanipulation and microassembly require a high-performance microgripper. To improve the predominant static and dynamic characteristics, a novel piezoelectric-actuated compliant microgripper is designed, analyzed, and tested in this paper. The microgripper realizes a large gripping stroke by integrating a compliant bridge mechanism, an L-shaped mechanism, and a levered parallelogram mechanism. Optimization technology based on response surface analysis is applied to demonstrate the influence of structural parameters on the microgripper performance. Simulation results of finite element analysis reveal the superior performance of the designed microgripper in terms of gripping displacement, mechanism stiffness, equivalent stress, and natural frequency. A gripper prototype has been fabricated, and experimental studies have been conducted to test the microgripper’s physical properties. Experimental results show that the microgripper can grasp micro-objects with a maximum jaw motion stroke of 312.8 μm, natural frequency of 786 Hz, motion resolution of ±0.6 μm, and force resolution of ±1.69 mN. The gripping tests of an optical fiber with a diameter of 200 μm and a metal sheet with a thickness of 100 μm have been performed to demonstrate its gripping capability with position and force control.
Evaluation of Clinical Teaching by Nursing Students at the Higher Institute of Nursing and Health Techniques in Casablanca, Morocco

Clinical teaching is an integral component of nursing education. As such, nursing students' evaluations provide insight into their perceptions of this style of teaching. It's a type of evaluation that was devised to improve education through formative assessment. The students' point of view on the instruction they receive is a fundamental element since they are the main recipients, and they appear more and more as partners in the educational process. Therefore, the purpose of this study is to explore and describe students' perceptions of clinical instruction at the Higher Institute of Nursing and Health Technology in Casablanca. To address this, we have drawn from Knox and Mogan's (1985) model of effective clinical nursing teaching. The results obtained showed that the teaching ability dimension received the highest score (4.61±1.62), followed by nursing competence, personality, and interpersonal interaction. Nevertheless, students gave the component of evaluation the lowest score (4.20±1.76). With p > 0.05 for all dimensions, the Mann-Whitney test reveals that the differences between the two groups of students are not statistically significant. For more accurate findings, however, further research is needed, and teachers and tutors should highlight the differences between the three groups. Received: 24 December 2021 / Accepted: 23 January 2022 / Published: 5 March 2022
Caracterización de agentes de consumo energético en el sector residencial del Ecuador basada en una encuesta nacional y en los sistemas de información geográfica para modelamiento de sistemas energéticos

El sector residencial es un ejemplo de los retos que se presentan al momento de modelar la heterogeneidad del sistema energético en búsqueda de la evaluación de la política energética. Algunas de las características que influyen en la oferta y demanda de energía del sector residencial son el tipo de consumo, el ingreso de los hogares, la composición familiar, el tipo de vivienda, la zona climática de residencia, entre otras. El objetivo de esta investigación es caracterizar los agentes de consumo energético en el sector residencial del Ecuador. Para lograrlo, en este artículo se presenta una metodología que combina una encuesta nacional (en línea y puerta a puerta) con sistemas de información geográfica (SIG). La encuesta permite definir las principales motivaciones, objetivos de inversión y método de decisión de los agentes al momento de renovar o mantener tecnologías energéticas del hogar. Para esto, se ha clasificado a los agentes con base en su nivel de ingresos. Los SIG permiten localizar espacialmente a los agentes y tener una estimación sobre la población que pertenece a cada agente por el nivel de ingreso. Los resultados se presentan por nivel de ingreso para cada grupo de agentes y se geolocalizan caracterizándolos de forma espacial. Se determina los atributos cuantitativos de cada agente con el fin de ser utilizados en modelación de sistemas de energía.
Imaging phase-function contrast with masked aperture scattering oblique plane microscopy

Oblique plane microscopy (OPM) is a powerful tool for monitoring biological processes due to its capability for highresolution, rapid, optically-sectioned imaging through a single objective lens. Recently, our group has demonstrated scattering-contrast OPM (sOPM) as a technique to image blood cells in situ and in vivo. In order to classify blood cells visualized with sOPM, scattering data could be further leveraged and better understood. We present here a visualization and analysis of the scattering signal by masking and imaging the final Fourier plane of the sOPM system. We demonstrate the angular distribution of the scattering signal and image with several aperture masks. Microsphere phantoms are imaged in the image plane and Fourier plane to demonstrate the change in scattering behavior for Mie scatterers with large (4 micron) diameters and small (190 nm), Rayleigh-like scatterers similar to subcellular features such as granules. Circular apertures were used to isolate the side scattering centered at 90 degrees compared to the angular extremes. A Michelson contrast of 0.20-0.25 was observed for 4 micron diameter spheres and 0.05-0.10 for 190 nm diameter spheres using a split aperture. Microsphere sizes are classified from images using split aperture contrast and confirmed by fluorescence. Leveraging differential scattering angle contrast will enable the visual classification of blood cells, particularly white blood cells where granules and other organelles present distinct side scattering signals. Finally, the quantitative nature of the differential scattering angle contrast may enable machine-learning based classification and cell counting.
Wireless Net Neutrality: CELLULAR CARTERFONE AND CONSUMER CHOICE IN MOBILE BROADBAND

Over the next decade, regulators will spend increasing time on conflicts between the private interests of the wireless industry and the public’s interest in the best uses of its spectrum. This report examines the practices of the wireless industry with an eye toward understanding their influence on innovation and consumer welfare. In many respects, the mobile wireless market is and remains a wonder. Thanks to both policy and technological innovations, devices that were science fiction thirty years ago are now widely available. Over the last decade, wireless mobile has been an “infant industry,” attempting to achieve economies of scale. That period is over: today, in the United States, there are over 200 million mobile subscribers, and mobile revenues are over $100 billion. As the industry and platform mature, the wireless industry warrants a new look. This report finds a mixed picture. The wireless industry, over the last decade, has succeeded in bringing wireless telephony at competitive prices to the American public. Yet at the same time, we also find the wireless carriers aggressively controlling product design and innovation in the equipment and application markets, to the detriment of consumers. In the wired world, their policies would, in some cases, be considered simply misguided, and in other cases be considered outrageous and perhaps illegal. Four areas warrant particular attention: 1. Network Attachments – Carriers exercise excessive control over what devices may be used on the public’s wireless spectrum. The carriers place strong controls over “foreign attachments,” like the AT&T of the 1950s. The FCC’s Carterfone rules, which allow consumers to attach devices of their choice to the wired telephone networks, do not apply to wireless networks. These controls continue to affect innovation and the development of new devices and applications for wireless networks. 2. Product Design and Feature Crippling – By controlling entry, carriers are in a position to exercise strong control over the design of mobile equipment. They have used that power to force equipment developers to omit or cripple many consumer-friendly features. Carriers have also forced manufacturers to include technologies, like “walled garden” Internet access, that neither equipment developers nor consumers want. Finally, through under-disclosed “phone-locking,” the U.S. carriers disable the ability of phones to work on more than one network. A list of features that carriers have blocked, crippled, modified or made difficult to use, at one time or another, include: • Call timers on telephones, • Wi-Fi technology, • Bluetooth technology, • GPS services,
Robust UWB Indoor Localization for NLOS Scenes via Learning Spatial-Temporal Features

Ultra-wide band (UWB) localization system suffers from deteriorating performance in complex scenes, especially in non-line-of-sight (NLOS) conditions. In order to improve the accuracy and robustness of the localization system in NLOS environments, we propose an end-to-end deep neural network with both distance and received signal strength (RSS) measurements. On one hand, high-level spatial-temporal features can be learned through the proposed network from both RSS and distance data, which benefits the localization performance. On the other hand, the proposed network is robust to the variance in the number of available anchors, leading to high adaptability to different scenes. Specifically, three modules are designed in the deep network: 1) a module based on convolutional neural network (CNN) is presented to extract the local spatial features from the input data, and the structure of this module lends itself to varying-dimension input. 2) To manage the correlations between consecutive frames, we develop a deep long short-term memory (LSTM) model to extract temporal features and provide a high-level representation for a series of input data. 3) Finally, the fully-connected layers are utilized to estimate the 3D positions of the UWB tag. We conduct extensive experiments in three real-world scenarios to evaluate the proposed deep network. The experimental results indicate that the proposed network can significantly improve the accuracy and robustness of the UWB localization results, especially in NLOS situations.
Deciphering morphological and molecular insights into mothbean genotypes

Mothbeanis a drought and heat tolerant pulse crop grown in arid and semi-arid regions of India. The extent of genetic variability, correlation, path analysis for seed yield and nine yield attributes was studied in thirty-eight genotypes during the kharif, 2019 in randomized complete block design in four replications. The differences among all the genotypes were significant for all the traits. Days to flowering recorded high genotypic and phenotypic coefficient of variation followed by plant height and low magnitudes were reported for protein content, pod length and the number of seeds per pod. The broad sense heritability was high for days to flowering, days to maturity, the number of pods per plant, hundred seed weight, plant height, seed yield per plant, the number of branches per plant and the number of seeds per pod. A low genetic advance as per cent mean was recorded for protein content and pod length. The trait, seed yield per plant was significantly and positively correlated with the number of pods per plant at both genotypic (0.662) and phenotypic (0.618) levels. The path analysis revealed that the number of pods per plant, days to maturity, the number of seeds per pod and plant height exhibited a high direct effect on seed yield per plant. The microsatellites were used to analyse the polymorphisms among mothbean genotypes. The polymorphic information content value of the microsatellites ranged from 0.23 to 0.57, while the heterozygosity value ranged from 0.26 to 0.64. The cluster diagram revealed a similarity index value ranged from 0.08 to 1.00 and the genotypes were clustered in two main groups. Based on the results it could be concluded that microsatellites are efficient in discriminating among the mothbean genotypes and the study showed a narrow gene base of the genotypes.
Electromyographic Comparison of an Abdominal Rise on a Ball with a Traditional Crunch

We propose a new exercise, the abdominal rise on the ball, to replace the traditional crunch in exercise programs. The aim of this study is to compare the activity of the abdominal muscles when performing an ARB with the same activity when performing a traditional crunch. Twenty healthy adults participated in the study. Surface electromyography (EMG) was recorded from the upper and lower rectus abdominis (URA, LRA), internal oblique (IO), external oblique (EO), transversus abdominis (TrA), and erector spinae (ES). EMG values were normalized to maximal voluntary isometric contraction. A paired t-test, nonparametric Wilcoxon test and correlation coefficient were used for statistical analysis. The normalized EMG values of EO, TrA and ES, were statistically significantly higher during the abdominal rise on the ball compared to the traditional crunch, while URA, LRA and IO were significantly lower during the abdominal rise on the ball compared to the traditional crunch. TrA, EO and IO are sufficiently activated during an abdominal rise on a ball, so the exercise could be deemed effective for strengthening these muscles.
Novel 2-(Diphenylmethylidene) Malonic Acid Derivatives as Anti-HIV Agents: Molecular Modeling, Synthesis and Biological Evaluation

HIV, the virus that causes AIDS (acquired immunodeficiency syndrome), is one of the world's most severe health and development challenges. In this study, a novel series of 2-(diphenyl methylidene) malonic acid derivatives were designed as triple inhibitors of HIV reverse transcriptase, integrase, and protease. Docking models revealed that the target compounds have appropriate affinities to the active sites of the three HIV key enzymes. The synthesized malonic acid analogs were evaluated for their activities against the HIV virus (NL4-3) in HeLa cells cultures. Among them, compound 3 was the most potent anti-HIV agent with 55.20% inhibition at 10 μM and an EC50 of 8.4 μM. Interestingly, all the synthesized compounds do not show significant cytotoxicity at a concentration of 10 μM. As a result, these compounds may serve as worthy hits for the development of novel anti-HIV-agents.
The Cardiomyocyte in Heart Failure with Preserved Ejection Fraction—Victim of Its Environment?

Heart failure (HF) with preserved left ventricular ejection fraction (HFpEF) is becoming the predominant form of HF. However, medical therapy that improves cardiovascular outcome in HF patients with almost normal and normal systolic left ventricular function, but diastolic dysfunction is missing. The cause of this unmet need is incomplete understanding of HFpEF pathophysiology, the heterogeneity of the patient population, and poor matching of therapeutic mechanisms and primary pathophysiological processes. Recently, animal models improved understanding of the pathophysiological role of highly prevalent and often concomitantly presenting comorbidity in HFpEF patients. Evidence from these animal models provide first insight into cellular pathophysiology not considered so far in HFpEF disease, promising that improved understanding may provide new therapeutical targets. This review merges observation from animal models and human HFpEF disease with the intention to converge cardiomyocytes pathophysiological aspects and clinical knowledge.
Lessons From the Success and Failure of Targeted Drugs for Rheumatoid Arthritis: Perspectives for Effective Basic and Translational Research

Rheumatoid arthritis (RA) is a representative autoimmune disease that is primarily characterized by persistent inflammation and progressive destruction of synovial joints. RA has a complex and heterogeneous pathophysiology, involving interactions among various immune and joint stromal cells and a diverse network of cytokines and intracellular signaling pathways. With improved understanding of RA, over the past decades, therapeutic strategies have become considerably advanced and now included targeted molecular therapies, such as tumor necrosis factor inhibitors, IL-6 blockers, B-cell depletion agents, as well as inhibitors of T-cell co-stimulation and Janus kinases. However, a considerable proportion of RA patients experience refractory disease and interrupted treatment owing to the associated risk of developing serious infections and cancers. In contrast, although IL-1β, IL-17A, and p38α play significant roles in RA pathogenesis, several drugs targeting these factors have not been approved because of their low efficacy and severe adverse effects. In this review, we provide an overview of the working mechanism, advantages, and limitations of the currently available targeted drugs for RA. Additionally, we suggest potential mechanistic causes for clinically approved and failed drugs. Thus, this review provides perspectives on approaches for basic and translational studies that hold promise for identifying future next-generation therapeutics for RA.