Miracle-dz/UniFAR-FTUs huggingface dataset:
Python-Based TinyIPFIX in Wireless Sensor Networks

While Wireless Sensor Networks (WSN) offer potentials, their limited programmability and energy-limitations determine operational challenges. Thus, a TinyIPFIX-based system was designed, such that this application layer protocol is now usable to exchange data in WSNs efficiently. The system implementation in MicroPython is simple and efficient in comparison to a lower level programming language, while displaying valuable properties in terms of overhead and power efficiency. Furthermore, it demonstrates that MicroPython may pave the way towards Network Function Virtualization (NFV) on Internet- of-Things (IoT) devices by providing highly portable software functions implemented in a high-level programming language.
Exchanging knowledge in the TMT to realize more innovation opportunities: what can family firms do?

Purpose This paper aims to examine the influence that family firms’ top management team (TMT) behavior and characteristics exert on their innovation opportunity realization. Design/methodology/approach Data were collected through a survey addressed to a representative sample of Italian firms. The analyzed sample consists of 237 firms, 120 of which are family firms. A series of ordinary least squares models were used to test the four hypotheses. Findings Family firms realize fewer innovation opportunities than non-family firms. This result is fully mediated by the knowledge exchange in the TMT as follows: in family firms, the TMT exchanges less knowledge than in non-family firms, which drives their lower realization of innovation opportunities. In family firms TMT, the increase in the non-family members positively influences the TMT knowledge exchange, but only when the time the Chief Executive Officer (CEO) spends in searching for innovation opportunities outside the firm is low. The more the CEO search increases, the more this positive influence decreases, up to the point it becomes negative. Research limitations/implications The study contributes to the literature on innovation, knowledge management and organizational design in family firms. Nevertheless, data were collected at a single point in time and in a single country. Practical implications The study suggests family firms on how to foster the realization of innovation opportunities. A greater TMT knowledge exchange allows to realize more innovation opportunities and the TMT characteristics emerged as the drivers of this TMT knowledge exchange. As such, family firms should examine the interaction of their TMT composition in terms of non-family and family members with the effort that the CEO deploys to search for innovation opportunities outside the firm. Originality/value Empirical investigation of the link between family ownership, absorptive capacity and innovation performance by considering TMT behavior and characteristics.
Stimulus dependence of theta rhythmic activity in primate V1

A growing body of psychophysical research reports theta (3-8 Hz) rhythmic fluctuations in visual perception that are often attributed to an attentional sampling mechanism arising from theta rhythmic neural activity in midto high-level cortical association areas. However, it remains unclear to what extent such neuronal theta oscillations might already emerge at early sensory cortex like the primary visual cortex (V1), e.g. from the stimulus filter properties of neurons. To address this question, we recorded multi-unit neural activity from V1 of two macaque monkeys viewing a static visual stimulus with variable sizes, orientations and contrasts. We found that among the visually responsive electrode sites, more than 50 % showed a spectral peak at theta frequencies. Theta power varied with varying basic stimulus properties. Within each of these stimulus property domains (e.g. size), there was usually a single stimulus value that induced the strongest theta activity. In addition to these variations in theta power, the peak frequency of theta oscillations increased with increasing stimulus size and also changed depending on the stimulus position in the visual field. Further analysis confirmed that this neural theta rhythm was indeed stimulus-induced and did not arise from small fixational eye movements (microsaccades). When the monkeys performed a detection task of a target embedded in a theta-generating visual stimulus, reaction times also tended to fluctuate at the same theta frequency as the one observed in the neural activity. The present study shows that a highly stimulus-dependent neuronal theta oscillation can be elicited in V1 that appears to influence the temporal dynamics of visual perception.
Optimal Upgrading Strategy for the Quality, Release Time, and Pricing for Software Vendor

Software vendors often upgrade their software products in order to against rapid changes in the market. However, software vendors must often ensure a balance in the upgraded products of the early-release-but-low-quality and high-quality-but-late-release categories. In this article, we explore the optimal release strategy, quality design of an upgraded version, and optimal prices for a software vendor by constructing a two-period model under two different price discrimination strategies: the behavior-based pricing strategy (BBPS) and hybrid price discrimination strategy (HPDS). The optimal pricing strategy adopted by a software vendor depends on the quality of the initial version of the software. Specifically, if the quality of the initial version is lower, the HPDS is beneficial for the software vendor; otherwise, the software vendor can preferably adopt the BBPS. Moreover, under the HPDS, the optimal market coverage is invariably higher regardless of the quality of the initial version of the software, and consumers always receive a higher surplus, except when the research and development cost and speed are relatively lower under the lower quality of the initial version of the software. In addition, whether the quality of the initial version is higher or lower, the early-release strategy always leads to a higher profit for the software vendor.
Current capabilities of prototyping technologies for multilayer printed circuit boards on a 3D printer

A new direction in 3D printing was investigated – prototyping of single-sided, double-sided and multilayer printed circuit boards. The current capabilities and limitations of 3D printed circuit board printing technology were identified. A comparative analysis of the characteristics of two desktop 3D printers presented in the industry for prototyping radio electronics, as well as the first professional machine DragonFly LDM 2020, which is a mini-factory for prototyping multilayer printed circuit boards, was carried out. The first practical experience of working and printing on DragonFly LDM 2020 supplied to the megalaboratory “3D prototyping and control of multilayer printed circuit boards” of the Institute of Radio Engineering and Telecommunication Systems MIREA – Russian Technological University is presented. The first samples of electronic boards printed on a 3D printer by the method of inkjet printing were obtained. An additive technology for the production of multilayer printed circuit boards is considered: printing with two printheads with conductive and dielectric nano-ink with two curing systems: an infrared sintering system for conductive ink and a UV curing system for dielectric ink. The LDM (Dragonfly Lights-out Digital Manufacturing) production method with the necessary maintenance is presented. The method allows the system to work roundthe-clock with minimal human intervention, significantly increasing the productivity of 3D printing and expanding the possibilities of prototyping. The materials used for 3D printing of multilayer printed circuit boards and their characteristics were investigated: dielectric acrylate nano-ink (Dielectric Ink 1092 – Dielectric UV Curable Acrylates Ink), conducting ink with silver nanoparticles (AgCite™ 90072 Silver Nanoparticle Conductive Ink). The research carried out allows us to compare the technological standards of printed electronics with traditional methods of manufacturing multilayer printed circuit boards for a number of parameters.
A field study on correlations between macroscopic gut health scoring, histological measurements and performance parameters in broilers

ABSTRACT Optimal intestinal health is a prerequisite for sustainable poultry production. Intestinal health can be evaluated by scoring macroscopic intestinal abnormalities and by histological measurements. The aim of this study was to evaluate correlations between macroscopic gut appearance scoring (GAS), coccidiosis lesion scoring, histological measurements and performance parameters in broilers under field conditions. Therefore, a cross-sectional study was performed on 50 broiler farms where birds were sampled at 28 days of age. The GAS was determined by scoring the absence or presence of 10 macroscopically visible parameters of the gastrointestinal tract, yielding a GAS between 0 and 10, with 0 meaning no gut abnormalities. On individual bird level, when birds had a GAS score of 6 or higher, significantly shorter villi were found in the duodenum. Also, CD3+ T-lymphocyte area percentage in the duodenal mucosa was significantly negatively correlated to villus length. On farm level, the average feed conversion ratio (FCR) was 1.59 ± 0.04 [1.52–1.73]. However, no correlations were found between the GAS at the age of 28 days and the prevalence of coccidiosis, nor did coccidiosis lesion scoring correlate with the FCR. Also, a higher GAS could not be associated with a higher FCR. In conclusion, on all farms a certain degree of macroscopic visible gut and coccidiosis lesions were present in birds of 28 days of age, while this did not correlate with the FCR. This suggests that broilers are able to cope with a certain level of gut damage before it influences the overall performance.
Subjective well-being in men and women during the COVID-19 lockdown: A structural model

Introduction. As a measure for controlling COVID-19, lockdown has had a psychological impact on people. Since subjective well-being (SW) has been positively associated with mental health, the identification of its predictors in this context will enable it to be strengthened. Objective. To generate and test explanatory models for SW in men and women under lockdown due to the pandemic. Method. Four thousand seven hundred and seventy-one inhabitants of Mexico, with paid employment, under lockdown, answered a set of instruments via the Internet that evaluated positive and negative psychological factors in addition to SW. Based on correlation and multiple regression analysis, models were proposed for men and women, which were tested by path analysis. Results. Both models successfully fit the data and explained a high proportion of the SW variance. Spiritual strength was the best predictor, mainly for women, while the capacity for enjoyment was central to the models, mediating the effect of empathy and depression. Discussion and conclusion. SW is significantly predicted by the factors studied, especially spiritual strength and capacity for enjoyment, which seem to provide men and women with fortitude and meaning of life in adverse circumstances such as today’s.
Examining the impact of daily exposure to body-positive and fitspiration Instagram content on young women’s mood and body image: An intensive longitudinal study

The aim of the present study is to investigate the effect of daily exposure to body-positive and fitspiration Instagram posts on young women’s mood, body satisfaction, and appearance comparison tendency. One hundred and twenty-two young Italian women (Mage = 22.29 ± 2.26 years) were randomly assigned to three different conditions of daily exposure on Instagram (i.e., body-positive, fitspiration and neutral content) and followed with an experience sampling method over a period of 28 consecutive days. Comparisons between groups were performed via multilevel regression modelled as a linear growth model. Results showed that daily exposure to body-positive images was associated with the highest rates of growth of positive mood and body satisfaction. Daily exposure to fitspiration images was associated with the highest rates of growth of negative mood and appearance comparison. In conclusion, the body-positive movement may be considered in interventions aimed at improving young women’s body image. Fitspiration content on Instagram should be deemed inappropriate.
Dysregulated Autophagy Leads to Oxidative Stress and Aberrant Expression of ABC Transporters in Women with Early Miscarriage

Early miscarriage (EMC) is a devastating obstetrical complication. ATP-binding cassette (ABC) transporters mediate cholesterol transfer across the placenta and enhance cell survival by effluxing substrates from target cells in the presence of stressors. Recent evidence reports an intricate interplay between autophagy and ABC transporters. We hypothesized that dysregulated autophagy and oxidative stress (OS) in the placenta leads to abnormal expression of membrane transporters contributing to poor pregnancy survival in EMC. We determined mRNA and protein expression of autophagy genes (Beclin-1/Bcl-2/LC3I/LC3II/p62) and ABC transporters (ABCA1/ABCG1/ABCG2) in placentae from EMC patients (n = 20), term controls (n = 19), first trimester (n = 6), and term controls (n = 5) controls. Oxidative/antioxidant status and biomarkers of oxidative damage were evaluated in maternal serum and placentae from EMC and healthy controls. In EMC, placental expression of LC3II/LC3I as well as of the key autophagy regulatory proteins Beclin-1 and Bcl-2 were reduced, whereas p62 was increased. Both in the serum and placentae of EMC patients, total OS was elevated reflected by increased oxidative damage markers (8-OHdG/malondialdehyde/carbonyl formation) accompanied by diminished levels of total antioxidant status, catalase, and total glutathione. Furthermore, we found reduced ABCG1 and increased ABCG2 expression. These findings suggest that a decreased autophagy status triggers Bcl-2-dependent OS leading to macromolecule damage in EMC placentae. The decreased expression of ABCG1 contributes to reduced cholesterol export to the growing fetus. Increasing ABCG2 expression could represent a protective feedback mechanism under inhibited autophagy conditions. In conclusion, dysregulated autophagy combined with increased oxidative toxicity and aberrant expression of placental ABC transporters affects materno-fetal health in EMC.
Introducing the Seasonal Closure into the CCAMLR Fishery Management Framework: Problems, Methods, and Prospects

In June 2020, China unilaterally announced two seasonal closures on squid fishing in certain areas of the high seas that apply to the Chinese distant water fishing fleets. Such closure refers to the withdrawal of the Chinese distant water fishing fleet from part of the high seas where they regularly operate. It is an innovative conservation measure initiated by a nation-state with the significance for global ocean governance and meeting the requirements from the UN Sustainable Development Goals. This paper is designed to seek the possibility, through a qualitative study and interpretive analysis, of whether such an innovative conservation measure can be introduced into the fishery management in the Southern Ocean, currently mainly under the framework of CCAMLR. This paper attempts to answer some questions with this new introduction. First, whether this kind of seasonal closure is applicable or feasible within the framework of CCAMLR. Second, whether this kind of seasonal closure would infringe upon or disrupt existing regimes, such as marine protected areas (MPAs) created by CCAMLR. Third, how and to what extent such a measure is supported by best scientific evidence so as to reach optimal effectiveness. In this regard, firm support from contracting parties is necessary to enforce the seasonal closure within the coverage of CCAMLR. The paper concludes that the seasonal closure feasible under the CCAMLR legal framework, which, like the measures of MPAs, will facilitate the fulfillment of best scientific evidence and eventually contribute to the SDG-14 progressively in the Southern Ocean.
Elicitation hybrid spatial features from HD-sEMG signals for robust classification of gestures in real-time

ABSTRACT Recently, using high-density surface electromyography (HD-sEMG) electrodes in prosthetics have outdone the challenges of electrodes sites on the muscle, while the high accuracy of HD-sEMG signals classification will improve prosthetics performance. A new concept has emerged that the robust features extraction methods increase the efficiency of the classification regardless of the classifier. In addition, there are many factors affecting the quality of the signal, and thus the quality of classification such as stress, fatigue, disease, muscular dystrophy … etc. In this paper, these challenges will be reduced by the proposed approach for extraction hybrid features from the HD-EMG signal based on the histogram-oriented gradient (HOG) algorithm and signal intensity features, where the support vector machine (SVM) classifier is used for the classification process. The results showed high accuracy of the classification and successful in real-time tests. Also, the classification results of these experiments have overcome the challenge of long term classification.
A Patient with Treatment-resistant Depression Who Achieved Remission with Heated Yoga: A Case Report

Novel interventions are needed to manage treatment-resistant depression (TRD), defined as patients who do not respond to two or more antidepressant trials of adequate dose and duration. We report on a 28-year-old female with TRD with nonresponse to several adequate trials of antidepressants who experienced full symptomatic remission after participating in the heated hatha yoga (HY) arm of a randomized controlled trial (RCT) for depression. Patients, including the one of interest, were randomized to 8 weeks of at least twice weekly HY or an 8-week waitlist followed by 8 weeks of HY. HY incorporates yoga plus heat through a se-ries of standardized poses performed in a heated room (105 °Ｆ ). The 30-item Inventory of Depressive Symptoms, Clinician-Rated (IDS-C 30 ) and 28-item Hamilton Depression Rating Scale (HAM-D 28 ) were assessed at key time points throughout the study. The patient attended 16 classes over 8 weeks. Her baseline IDS-C 30 score of 42 decreased to 26 following 2 weeks of HY, and continued declining throughout the intervention, with a final score of 6 (remission) after 8 weeks. HAM-D 28 scores decreased from 26 at baseline to 4 (remission) after 8 weeks. At the 1-month follow-up, the patient’s scores remained stable at 4 on IDS-C 30 and 7 on HAM-D 28 , respectively. HY may serve as a potential intervention for TRD in patients who have not previously responded to conventional antidepressants. The rigorousness of the intervention must be con-sidered regarding recommendations for use in the general population.
Formulation and evaluaiton of oxiconazole nitrate loaded nanosponges

Nanotechnology mediated drug delivery has been reported to enhance the drug efficacy, bioavailability, reduced toxicity and improve patient compliance by targeting the cells and tissues to elicit the desired pharmacological action. The main aim of the study was to formulate and evaluate Oxiconazole nitrate loaded nanosponges. The oxiconazole nitrate nanosponges were prepared by the emulsion solvent diffusion method by using the different polymers (Ethyl cellulose, β-CD, HP-β-CD). The FTIR test is conducted as the preliminary test, by this test there was no interaction between the drug and polymers. Then nanosponges (NS) were evaluated for particle size, poly dispersive index (PDI), zeta potential, entrapment efficiency and invitro drug release. The particle size ranged from 480.60 to 753.46nm, PDI ranged from 0.284 to 0.502, zeta potential from -20.9 to -35.9 mV and entrapment efficiency was ranged from 52.72 to 92.72%. The cumulative percentage release from all nanosponges varied from 73.16 to 97.84 % after 12hours depending upon the drug and polymer ratio and F4 formulation showed highest drug release i.e., 97.84%. The release kinetic studies showed that the release zero order diffusion controlled and the n value (0.713) from the Korsmeyer-Peppa’s model indicated the release mechanism was non-fickian type.
Smartphone addiction is associated with symptoms of anxiety, depression, stress, tension, confusion, and insomnia: A cross-sectional and comparative study with physically and non-physically active adults in self-isolation during the COVID-19 pandemic

Introduction. During the novel coronavirus disease (COVID-19) outbreak, social media exposure and the use of electronic devices have increased; still, these behaviors may cause adverse health effects. Objective. This study assessed sleep quality, insomnia, mood, and psychological aspects among physically ( n = 46) and non-physically ( n = 53) active individuals during self-isolation throughout the COVID-19 pandemic and examined their association with smartphone addiction. Method. A cross-sectional study was conducted among adult Brazilian citizens in self-isolation for at least 60 days; ninety-nine volunteers from different Brazilian regions were enrolled in the online survey. The Depression, Anxiety and Stress Scale-Short Form, the Pittsburgh Sleep Quality Index, the Insomnia Severity Index, the Brunel Mood Scale, and the Smartphone Addiction Scale-Short Version were used to assess the study outcomes. Results. The results indicate moderate and large correlations of smartphone addiction with mood subscales, insomnia ( r = .52), anxiety ( r = .49), depression ( r = .49), and stress ( r = .49) symptoms. Also, it was observed that physically active participants were less addicted to smartphones than the non-physically active during self-isolation ( p p = .02), depression ( p p Discussion and conclusion. These findings show the health implications of self-isolation and how essential it is to be physically active to avoid self-isolationʼs adverse psychological effects.
Assessing the Predictive Value of Traffic Count Data in the Imputation of On-Street Parking Occupancy in Amsterdam

On-street parking policies have a huge impact on the social welfare of citizens. Accurate parking occupancy data across time and space is required to properly set such policies. Different imputation and forecasting models are required to obtain this data in cities that use probe vehicle measurements, such as Amsterdam. In this paper, the usage of traffic data as an explanatory variable is assessed as a potential improvement to existing parking occupancy prediction models. Traffic counts were obtained from 164 traffic cameras throughout the city. Existing models for predicting parking occupancy were reproduced in experiments with and without traffic data, and their performance was compared. Results indicated that (i) traffic data are indeed a useful predictor and improves performance of existing models; (ii) performance does not improve linearly with an increase in the number of counting points; and (iii) placement of the cameras does not have a significant impact on performance.