Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of an Assertiveness Training Based on the Social Learning Theory for Occupational Health, Safety and Environment Practitioners

Assertiveness is a fundamental type of behavior for the creation and maintenance of positive relationships at work and the facilitation of team functioning. Therefore, the promotion of assertiveness contributes to improving work performance, preventing harassment at work, facilitating the adoption of safe behaviors and making critical decisions in terms of occupational health and safety. However, few studies have evaluated the effectiveness of assertive training to train occupational health, safety and environment (OHSE) technicians to facilitate their work as agents of change in the attitudes and behaviors of other workers. Therefore, an assertive training was carried out to increase assertiveness and decrease social anxiety in this type of professional. The training effectiveness was evaluated following a pretest–posttest group design. The results from both a pilot study in a sample of 328 undergraduate students and a study in a sample of 155 OHSE technicians indicated that the training was effective in achieving both objectives. Moreover, Cohen’s d statistics suggest that the effect size was intermediate. These results are discussed with respect to their role in contributing to occupational health safety and environment practices as well as to the organizations’ sustainability.
Emotional recovery following divorce: Will the real self-compassion please stand up?

Self-compassion is a positive psychological construct associated with heightened well-being, but the construct is largely measured via self-report. In a study of divorcing adults (N = 120), we sought to replicate and extend prior research on the association between self-rated and observed self-compassion, the linguistic cues associated with self-rated and observed self-compassion, and the predictive utility of observed self-compassion. Untrained observers rated participants’ stream-of-consciousness recordings about their marriage and separation experience. We found adequate consensus among raters of observed self-compassion and a significant, positive association between self-rated and observed self-compassion. Greater self- and observer-rated self-compassion were associated with less distress at baseline; however, only observed self-compassion was associated with less distress at the final study assessment. Discussion centers on the cues observers use to perceive self-compassion in others and the extent to which behavioral manifestations of affect may shape such ratings.
A novel Pan-viral prophylaxis strategy using vaccine adjuvant CAF09b protects against influenza virus infection

The SARS-CoV-2 pandemic caused a massive health and societal crisis, although the fast development of effective vaccines reduced some of the impact. To prepare for future pandemics, a pan-viral prophylaxis could be used to control the initial virus outbreak in the period prior to vaccine approval. The liposomal vaccine adjuvant CAF®09b contains the TLR3 agonist polyinosinic:polycytidylic acid, which induces a type I interferon (IFN-I) response and an antiviral state in the affected tissues. When testing CAF09b as a potential pan-viral prophylaxis, we observed that intranasal administration of CAF09b to mice resulted in an influx of innate immune cells into the nose and lungs and upregulation of IFN-I related gene expression. When CAF09b was administered prior to challenge with mouse-adapted influenza A/Puerto Rico/8/1934 virus, it protected from severe disease, although virus was still detectable in the lungs. However, when CAF09b was administered after influenza challenge, the mice had a similar disease course to controls. In conclusion, CAF09b may be a suitable candidate as a pan-viral prophylactic treatment for epidemic viruses, but must be administered prior to virus exposure to be effective.
HeberNasvac, a Therapeutic Vaccine for Chronic Hepatitis B, Stimulates Local and Systemic Markers of Innate Immunity: Potential Use in SARS-CoV-2 Postexposure Prophylaxis

Abstract Introduction More than 180 million people have been infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and more than 4 million coronavirus disease-2019 (COVID-19) patients have died in 1.5 years of the pandemic. A novel therapeutic vaccine (NASVAC) has shown to be safe and to have immunomodulating and antiviral properties against chronic hepatitis B (CHB). Materials and methods A phase I/II, open-label controlled and randomized clinical trial of NASVAC as a postexposure prophylaxis treatment was designed with the primary aim of assessing the local and systemic immunomodulatory effect of NASVAC in a cohort of suspected and SARS-CoV-2 risk-contact patients. A total of 46 patients, of both sexes, 60 years or older, presenting with symptoms of COVID-19 were enrolled in the study. Patients received NASVAC (100 μg per Ag per dose) via intranasal at days 1, 7, and 14 and sublingual, daily for 14 days. Results and discussion The present study detected an increased expression of toll-like receptors (TLR)-related genes in nasopharyngeal tonsils, a relevant property considering these are surrogate markers of SARS protection in the mice model of lethal infection. The HLA-class II increased their expression in peripheral blood mononuclear cell's (PBMC's) monocytes and lymphocytes, which is an attractive property taking into account the functional impairment of innate immune cells from the periphery of COVID-19-infected subjects. NASVAC was safe and well tolerated by the patients with acute respiratory infections and evidenced a preliminary reduction in the number of days with symptoms that needs to be confirmed in larger studies. Conclusions Our data justify the use of NASVAC as preemptive therapy or pre-/postexposure prophylaxis of SARS-CoV-2 and acute respiratory infections in general. The use of NASVAC or their active principles has potential as immunomodulatory prophylactic therapies in other antiviral settings like dengue as well as in malignancies like hepatocellular carcinoma where these markers have shown relation to disease progression. How to cite this article Fleites YA, Aguiar J, Cinza Z, et al. HeberNasvac, a Therapeutic Vaccine for Chronic Hepatitis B, Stimulates Local and Systemic Markers of Innate Immunity: Potential Use in SARS-CoV-2 Postexposure Prophylaxis. Euroasian J Hepato-Gastroenterol 2021;11(2):59–70.
African Swine Fever Re-Emerging in Estonia: The Role of Seropositive Wild Boar from an Epidemiological Perspective

African swine fever (ASF) emerged in Estonia in 2014. From February 2019 to August 2020, no pigs or wild boar tested positive for ASF virus (ASFV), only ASFV-specific antibodies could be detected in shot wild boar. However, ASF recently re-emerged in wild boar. We tested three hypotheses that might explain the current situation: (i) ASFV may have been present throughout, but at a prevalence below the detection limit; (ii) seropositive wild boar may have remained infectious (i.e., virus-carriers) and kept the epidemic going; or (iii) ASF was gone for 1.5 years, but was recently re-introduced. Using Estonian surveillance data, the sensitivity of the surveillance system and the confidence in freedom from ASF were estimated. Furthermore, the detection probability was determined and cluster analyses were performed to investigate the role of serological positive wild boar. The results suggest that the surveillance system was not able to detect virus circulation at a design prevalence below 1%. With respect to the confidence in freedom from ASF, the results indicate that circulating virus should have been detected over time, if the prevalence was ≥2%. However, the decreasing wild boar population density and ongoing surveillance activities made ASFV circulation at a low prevalence unlikely. Cluster analyses provided no evidence for a significant accumulation of serologically positive wild boar in temporal connection to the re-emergence of ASFV. Further targeted research, such as long-term experimental studies and molecular epidemiology, is necessary to improve our knowledge on the epidemiology of ASF and to control the disease more effectively.
Dance Is an Accessible Physical Activity for People with Parkinson's Disease

Objective To evaluate the outcomes of face-to-face, digital, and virtual modes of dancing for people living with Parkinson's disease (PD). Design Systematic review informed by Cochrane and PRIMSA guidelines. Data Sources. Seven electronic databases were searched: AMED, Cochrane, PEDro, CINHAL, PsycINFO, EMBASE, and MEDLINE. Methods Eligible studies were randomised controlled trials (RCT) and other trials with quantitative data. The PEDro scale evaluated risk of bias for RCTs. Joanna Briggs Institute instruments were used to critically appraise non-RCTs. The primary outcome was the feasibility of dance interventions, and the secondary outcomes included gait, balance, quality of life, and disability. Results The search yielded 8,327 articles after duplicates were removed and 38 met the inclusion criteria. Seven were at high risk of bias, 20 had moderate risk of bias, and 11 had low risk of bias. There was moderately strong evidence that dance therapy was beneficial for balance, gait, quality of life, and disability. There was good adherence to digital delivery of dance interventions and, for people with PD, online dance was easy to access. Conclusion Dancing is an accessible form of exercise that can benefit mobility and quality of life in people with PD. The COVID-19 pandemic and this review have drawn attention to the benefits of access to digital modes of physical activity for people living with chronic neurological conditions.
Pharmacognostical, Phytochemical and Gas Chromatography Mass Spectroscopy Profiling of Stenosiphonium russellianum Nees

Stenosiphonium russellianum Nees. is rarely known species belongs to the family Acanthaceae and it is a shrub, found above 500m on slopes of mountain. It was traditionally used for wound healing in and as blood purifier. The current study designed to provide the requisite pharmacognostical and phytochemical properties of Stenosiphonium russellianum. Pharmacognostical studies like microscopic and macroscopic analysis of the leaves were carried out. Physiochemical parameter and preliminary phytochemical screening for secondary metabolite were also performed. Extracts were taken from nonpolar to polar solvants like hexane, diethyl ether, ethyl acetate, alcohol and water. Their extractive values are calculated. GCMS analysis of hexane, diethyl ether, ethyl acetate and ethanol extract of the leaves of Stenosiphonium russellianum were studied. Preliminary phytochemical evaluation showed the presence of alkaloids, phytosterols and glycosides. GCMS analysis revealed the presence compounds like lupeol, gamma sitosterol and stigmasterols. In conclusion, the information obtained from these studies can be used as markers in the identification and standardization of this plant as an herbal remedy and also towards further pharmacological activity estimation.
High School Students’ Performance Indicators in Distance Learning in Chemistry during the COVID-19 Pandemic

All private and public schools in the UAE had to run online classes as they closed their face-to-face classes due to the COVID-19 pandemic in the spring of 2021. In this context, the purpose of this study was to investigate the indicators of high school students’ performance in online chemistry classes in a private school in Al Ain, UAE. A quantitative study with an online survey questionnaire was carried out with 101 participants. The data were analyzed using One-Sample Wilcoxon Signed Ranked Test, Independent Sample Mann Whitney U, Independent Sample Kruskal Wallis H, and Spearman’s Rank Correlation in the Statistical Package for Social Sciences (IBM SPSS 26). The findings revealed that there was a statistically significant positive impact on critical thinking, collaborative skills, creativity and innovation, technology application, class participation, and overall achievement during online and distance learning of chemistry. There was a statistically significant difference in students’ critical thinking, collaborative skills, creativity and innovation, class participation, and achievement by gender and nationality. These skills were not statistically significantly different across students of grades 10, 11, and 12, except for creativity and innovation, which were significantly different between students of grades 11 and 12. All the six indicators of students’ performance had a significant correlation between each other, with the highest correlation between collaborative skills and participation level. These findings indicated that students’ performance in online chemistry classes during the COVID-19 pandemic provided opportunities to develop creativity and collaborative skills, together with better learning achievement as perceived by the students.
High-Resolution Boundary Refined Convolutional Neural Network for Automatic Agricultural Greenhouses Extraction from GaoFen-2 Satellite Imageries

Agricultural greenhouses (AGs) are an important component of modern facility agriculture, and accurately mapping and dynamically monitoring their distribution are necessary for agricultural scientific management and planning. Semantic segmentation can be adopted for AG extraction from remote sensing images. However, the feature maps obtained by traditional deep convolutional neural network (DCNN)-based segmentation algorithms blur spatial details and insufficient attention is usually paid to contextual representation. Meanwhile, the maintenance of the original morphological characteristics, especially the boundaries, is still a challenge for precise identification of AGs. To alleviate these problems, this paper proposes a novel network called high-resolution boundary refined network (HBRNet). In this method, we design a new backbone with multiple paths based on HRNetV2 aiming to preserve high spatial resolution and improve feature extraction capability, in which the Pyramid Cross Channel Attention (PCCA) module is embedded to residual blocks to strengthen the interaction of multiscale information. Moreover, the Spatial Enhancement (SE) module is employed to integrate the contextual information of different scales. In addition, we introduce the Spatial Gradient Variation (SGV) unit in the Boundary Refined (BR) module to couple the segmentation task and boundary learning task, so that they can share latent high-level semantics and interact with each other, and combine this with the joint loss to refine the boundary. In our study, GaoFen-2 remote sensing images in Shouguang City, Shandong Province, China are selected to make the AG dataset. The experimental results show that HBRNet demonstrates a significant improvement in segmentation performance up to an IoU score of 94.89%, implying that this approach has advantages and potential for precise identification of AGs.
A novel partially parameter‐free adaptive multivariate EWMA mean chart

The run length performances of adaptive/nonadaptive multivariate exponentially weighted moving average (MEWMA) charts depend on the smoothing parameter. In this research, a new partially parameter‐free adaptive MEWMA (AMEWMA) chart, called the AMEWMA‐III chart, which does not contain any control chart parameter (except the control limit) is developed to monitor the mean vector of a process that follows a multivariate normal distribution. A Monte Carlo simulation is used to compute the run length characteristics of the MEWMA, AMEWMA‐I, AMEWMA‐II, and AMEWMA‐III charts. The AMEWMA‐III chart surpasses the MEWMA chart for small and moderate shifts whilst the latter with a larger smoothing parameter prevails over the former for large shifts. Additionally, the AMEWMA‐III chart outperforms the AMEWMA‐I and AMEWMA‐II charts for moderate‐to‐large shifts but for small‐to‐moderate shifts, all the AMEWMA charts have similar performances. Applications on two real datasets are given to illustrate the implementation of the AMEWMA‐III chart in comparison to the AMEWMA‐I and AMEWMA‐II charts.
Moment tensor catalogue of microearthquakes in West Bohemia from 2008 to 2018

Abstract. We present a unique catalogue of full moment tensors (MTs) of microearthquakes that occurred in West Bohemia, Czech Republic, in the period from 2008 to 2018. The catalogue is exceptional in several aspects: (1) it represents an extraordinary extensive dataset of more than 5.000 MTs, (2) it covers a long period of seismicity in the studied area, during which several prominent earthquake swarms took place, (3) the locations and retrieved MTs of microearthquakes are of a high accuracy. Additionally, we provide three-component records at the West Bohemia (WEBNET) seismic stations, the velocity model in the region, and the technical specification of the stations. The dataset is ideal for being utilized by a large community of researchers for various seismological purposes, e.g., for studies of (1) the migration of foci and the spatiotemporal evolution of seismicity, (2) redistribution of stress during periods of intense seismicity, (3) the interaction of faults, (4) the Coulomb stress along the faults and local stress anomalies connected to fault irregularities, (5) diffusivity of fluids along the activated faults, or (6) the time-dependent seismic risk due to the migration of seismicity in the region. In addition, the dataset is optimum for developing and testing new inversions for MTs and for tectonic stress. Since most of the earthquakes are non-shear, the dataset can contribute to studies of non-double-couple components of MTs and their relation to shear-tensile fracturing and/or seismic anisotropy in the focal zone.
The Long-term Consequences of Ordeals: Evidence from the Chinese Sent-Down Movement

The Chinese sent-down movement between the mid 1950s to the late 1970s is a suffering period for Chinese sent-down youths. Using the treatment effect model and the ordered probit model, we examine the impact of sent-down experience on sent-down youths’ income and happiness based on the sample of CGSS2003 and CGSS2006. By doing so, we can explore the long-term consequences of one’s suffering experience. The overall sample regression results show that sent-down experience increase 42% of individuals’ income, while reducing 13% of individuals’ happiness. Sub-sample analysis results are robust to the collusion that the sent-down experience makes a positive impact on income and a negative impact on happiness. This study provides objective evidence for the historical evaluation of sent-down movement, new interpretation for the Easterlin paradox from the view of personality latitude, new empirical evidence for supporting the new human capital theory, useful inspiration for the current sent-down policy of college graduates’ employment.
Massively parallel identification of zipcodes in primary cortical neurons

Cells adopt highly polarized shapes and form distinct subcellular compartments largely due to the localization of many mRNAs to specific areas, where they are translated into proteins with local functions. This mRNA localization is mediated by specific cis-regulatory elements in mRNAs, commonly called “zipcodes. ” Their recognition by RNA-binding proteins (RBPs) leads to the integration of the mRNAs into macromolecular complexes and their localization. While there are hundreds of localized mRNAs, only a few zipcodes have been characterized. Here, we describe a novel neuronal zipcode identification protocol (N-zip) that can identify zipcodes across hundreds of 3’UTRs. This approach combines a method of separating the principal subcellular compartments of neurons – cell bodies and neurites - with a massively parallel reporter assay. Our analysis identifies the let-7 binding site and (AU)n motif as de novo zipcodes in mouse primary cortical neurons and suggests a strategy for detecting many more.
Effect of filler size in a graphene-anthracene carbon-carbon composite

Characterizing carbon-carbon composite behavior across multiple length scales is essential to comprehending its macro-scale behavior. This work characterizes a graphene-anthracene composite from the nanoto the micron-scale with a variety of analytical techniques to understand its bulk properties. Three variations of the graphene-anthracene composite are prepared by using graphene sheets of varied sizes as a filler in an anthracene matrix. The graphene materials included 300-800 nm reduced graphene oxide, 1-2 μm graphene nano-platelets and 2-5 μm graphene. The carbon-carbon composite so formed is then characterized at different length scales to understand the graphene additives’ influence on the composites’ observable macroscopic properties as dependent upon the nanoto microstructure – reported here.
Green Templating of Ultraporous Cross-Linked Cellulose Nanocrystal Microparticles

Cellulose nanocrystals (CNCs) are rigid rodlike nanoparticles that are derived from natural cellulose. Their high surface area, mechanical strength, and noncytotoxicity have elicited interest in their use for various applications, including composite and construction materials, cosmetic, food, and biomedical products. However, few methods exist to control the morphology and dimensions of assembled CNC structures in the micrometer range. Here, we use water-in-oil droplet microfluidics to template uniform spherical CNC droplets in a nontoxic and sustainable manner. Subsequent evaporation of the water within the droplets promotes the chemical cross-linking of surface-modified CNCs, resulting in ultraporous and flexible micrometer-sized particles. Changing the size of the microfluidic channel or the concentration of the CNC suspension results in microparticles with tunable sizes. The microparticles swell in polar solvents, with larger swelling observed for microparticles fabricated from less-concentrated CNC .
Adult experience of stress and anxiety and coping in the first phase of the lockdown related to the COVID-19 pandemic

Aim: The aim of this study is to examine adults’ coping with risks and losses experienced during the COVID-19 pandemic, taking into account: anxiety level, gender, age and place of residence. Method: For this purpose, research was carried out on a total of 235 adults, divided into five groups based on Levinson's (1978) model of life development, recruited using the snowball technique via remote communication technology. Self-report data was collected using the Covid-19-RL (Risks and Losses) open interview, polish adaptation of Spielberger’s STAI Inventory (assessing anxiety as a state) by Sosnowski et al (2011) and Carver’s COPE inventory adapted by Juczyński and Ogińska (2009). Comparative analyses were performed using the ANOVA model in the SPSS Program. Results: The results show the pandemic is a considerable deprivation factor and a threat to a broad spectrum of needs, and it generates a high level of anxiety in men and women in all adult age groups. Simultaneously, the perception of stressors depends on gender, age and place of residence. It was also found that age and place of residence differentiated people’s choice of the type of coping (confrontational, defensive and ignoring). The paper ends with the discussion of the results and limitations of the study.