Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effectiveness of Mindfulness-Based Interventions on Anxiety Disorders. A Systematic Meta-Review

Objective: There has been a growing interest in the study of the effectiveness of mindfulness-based interventions (MBIs). Many clinical trials and experimental designs have been implemented, with different samples and diverse MBI procedures. Reviews have shown unclear results, apart from a tendency to identify low-to-moderate effectiveness. The purpose of this review is to examine the effectiveness of MBIs on anxiety complaints, analyzing available systematic reviews and meta-analyses. Method: The literature search was done in MEDLINE (PubMed) and PsycINFO, from the first available review in 2003 until March 2020. From 82 initial references, 12 reviews were selected. Results: Reviews confirmed a moderate effect size of MBIs in improving anxiety symptoms. This efficacy was similar to that of well-established therapies for reducing anxiety symptoms, such as cognitive behavioral therapies. A large effect size was found when well-developed MBI protocols were applied. Discussion: More refined clinical trials are needed to establish clear conditions of MBI effectiveness (protocols, samples, psychological mechanisms, etc.). In addition, considering mindfulness processes, new outcome measures are needed (such as acceptance, self-awareness, or well-being) to test the incremental value of MBIs.
Persistence of Scepticism in Media Reporting on Climate Change: The Case of British Newspapers

ABSTRACT This paper explores the persistence of scepticism in British newspapers’ narratives around climate change. It is based on 958 news articles collected over three decades (1988–2016) from nine newspapers. The analysis of “general consensus” around climate change and the consensus around both its causes and consequences, shows that scepticism is still present in newspapers’ narratives especially in relation to centre-right political orientations. The increasing consensus around both the causes and consequences does not necessarily mean that scepticism has disappeared, but it raises further questions around the modalities through which consequences, and actions to limit their impact, are represented.
Video Grand Rounds in Rural Teacher Preparation

Video Grand Rounds (VGR) were used at a rural university to prepare special education teacher candidates. Using the VGR structure, teacher candidates were taught to understand, observe, and articulate observations of classroom instruction through the use of authentic classroom videos created locally by K-12 rural special and general educators. The videos include teachers working with learners with disabilities and implementing instruction aligned with the general and adapted curriculum standards. In this paper, we report the effects of VGR on teacher candidates’ development of observation skills in an early experience course in this mixed methods study and share the design and development of templates for implementing this model.
Smart solution for reducing the COVID‐19 risk using smart city technology

The COVID-19 is not mitigating without a vaccine, but its effect can reduce using some advance technology. Smart cities are one of the essential needs for reducing this pandemic. This study presents the role and implementation of smart city technology to minimise the COVID-19 risk. The smart city technology is used to maintain social distancing, which avoids the face-to-face interaction and physical contact. It has been observed that the position technology is used to trace the infected people. Drones and robot technology are used to work as medical staff and helpful for other essential services. It can be seen that smart healthcare is one of the advance smart city technologies, which is used to take care and treat infected people without any contact. It has also been observed that the smart delivery system is one of the contact-free technologies. It is used to deliver essential items, including groceries, food, and medicine, without any physical contact. The uses of all the above smart city technologies have been discussed widely to mitigate the COVID-19 risk.
3,4-dimethylpyrazole phosphate (DMPP) Reduces N2O Emissions from a Tilled Grassland in the Bogotá Savanna

Grasslands are subject to a wide range of land management practices that influence the exchange of the three main agricultural greenhouse gases (GHGs) that are related to agriculture: carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4). Improving nitrogen fertilization management practices through the use of nitrification inhibitors (NIs) can reduce GHGs emissions. We conducted a field experiment at the Colombian Agricultural Research Corporation with four fertilization treatments: urea (typical fertilizer used in this region), ammonium sulfate nitrate (ASN), ASN plus the NI 3,4-dimethylpyrazole phosphate (ASN+DMPP), and an unfertilized control. The highest grassland yields (1956 and 2057 kg DM ha−1, respectively) and apparent fertilizer nitrogen recoveries (34% and 33%, respectively) were generated by the conventional urea fertilizer and ASN+DMPP. Furthermore, the use of ASN+DMPP reduced the N2O emissions that were related to N fertilization to the level of the unfertilized treatment (ca. 1.5 g N2O-N ha−1), with a significant reduction of N-yield-scaled N2O emissions (ca. 20 g N2O-N kg N uptake−1). These results support the application of DMPP as an alternative strategy to increase grassland yield while simultaneously reducing the environmental impact of N fertilization.
Arbuscular mycorrhizal fungi associated with the babassu palm (Attalea speciosa) in the eastern periphery of Amazonia, Brazil

ABSTRACT Babassu, Attalea speciosa (Arecaceae) is a ruderal palm native to Amazonia, which turned dominant in frequently burned lands throughout the ‘arc of deforestation’ and other degraded lands, in extreme cases attaining complete dominance. This study investigated arbuscular mycorrhizal fungi (AMF) as one possible explanation for the outstanding ecological success of this exceptional palm. We explored the relationships between the babassu palm and native arbuscular mycorrhizal fungi and babassu effects on the AMF richness and mycorrhizal inoculum potential (MIP) in the eastern periphery of Amazonia. For this purpose, we sampled topsoil (0-20 cm) at the onset of the rainy season from a 5-year-old secondary forest regrowth (SEC) area with three levels of babassu dominance (sites with 10, 50 and 70% babassu biomass shares), and at three distances (0, 2.5 and 4 m) from isolated babassu patches within a degraded pasture (PAS), both with five replications per treatment. Glomerospore density varied from 100 to 302 per gram of soil, 56% higher in SEC than PAS. We identified a total of 16 AMF species, with dominance of Acaulospora (six species) followed by Glomus (three species). AMF richness increased with babassu dominance in SEC sites, and reduced with distance from babassu patches within the PAS. The colonization rate of babassu roots was higher in SEC than in PAS, whereas MIP was similar in both areas and without treatment differences. Our study points to strong mycorrhizal association of the babassu palm as a potential mechanism for its outstanding ecological success in degraded lands.
Employee Turnover intention and Supply Chain Management for Value Creation in Indonesian Banks

The primary objective of this study is to examine the psychological role of customer behavior on turnover intention. Moreover, this study examined the mediating role of employee behavior and employee performance. After collecting primary data from Indonesian banks, the relationship between customer behavior, employee behavior, performance and turnover intention was examined. 180 valid questionnaires were returned and used for data analysis. Results of the study highlighted that customer behavior has significant psychological effect on turnover intention. It is found that positive customer behavior leads to the positive employee behavior. However, negative customer behavior with employee effect negatively on employees of banks. Further, employee behavior influence employee performance and turnover intention. Therefore, customer behavior has direct and indirect effect on employee turnover intention among banks. Hence, this study has significant contribution to the literature by examining the relationship between customer behavior, employee behavior, performance and turnover intention. Practically, this study is much beneficial for banking industry to overcome the crucial issue of employee turnover intention. Besides, our study has provided an addition to empirical evidences while testing the direct impact of supply chain management on value creation. It is found that two out of three factors of supply chain (order process management, information technology management) are directly impacting on the value creation in the banking sector of Indonesia.
Modelling Experiences And Its Factors In General Mathematics: The Case Of Grade 11 Students

Student’s experiences in learning plays an essential role in producing quality academic achievement. This study aimed to develop multiple regression models on the students’ experiences in learning mathematics in regards to its influencing factors. A simple random sampling of 112 grade 11 students in the first semester of school year 2018-2019 from Visayas State University were used as the respondents of this study. Result of the study reveals that grade 11 students’ learning experience in general mathematics is challenging and logical. However, it is found out that it is satisfying and rewarding since it develops their critical thinking and decision making in real life. The number of hours in studying and studying with internet positively influence the students’ learning experience in mathematics. It is also revealed that STEM students are more fond learning mathematics compare to non-STEM students. Furthermore, result also shows that a conducive learning environment and religious activities in the campus helps the students to have a peaceful and positive learning experience.
Evaluation of Egg Quality of Japanese Quail in Different Housing Systems

A total of 135 birds of Japanese quails at 5 th week of age were divided randomly into three groups housed in galvanized metal cages, pens covered with fine and coarse sawdust for the 1 st , 2 nd and 3 rd groups, respectively. The results revealed that egg length, egg shape index, shell weight, shell ratio and egg thickness were significantly affected by housing system. The egg produced in fine sawdust group had the highest egg shape index (82.75 %), shell weight (1.69 g), shell ratio (15.88 %) and shell thickness (0.27 mm) with lowest egg length (29.98 mm) in fine sawdust group when compared with other systems. On the other hand, egg weight (11.99 g), egg surface area (22.91 cm 2 ), egg width (25.86 mm) was higher in the cage system with no significant differences. Moreover, the most of internal egg quality was significantly affected by different housing systems, while there were no significant differences in albumin ratio and width, yolk weight and ratio. Threfore, the egg quality (internal and external traits) was better in cage system and deep litter system with fine sawdust in comparison to the deep litter system with coarse sawdust.
An Improved Design for a Viscometer Apparatus

A new viscometer was created to provide a cost-effective way for students to accurately and to precisely determine the viscosity of different fluids. The challenge of designing a viscometer is providing enough distance between tube wall and for vertical tube length. This is because the influence of these two parameters have on the sphere as it falls through the fluid. The cylinder wall affects the fall velocity of the sphere while length is required to reach terminal velocity. Due to the significance of viscosity and helping students understand the governing principle, the design must be reliable, accurate, and assist in the understanding of viscosity. The design is compact enabling placement on a lab table. The built-in electronics and LCD screen output the time without the need for a computer or software application. Component and material selection insured the prototype provides accurate and precise results.
Two-layer malicious network flow detection system with sparse linear model based feature selection

The amount of malicious network traffic of enterprise systems has increased due to spreading of botnets, fuzzers, shellcodes or exploits. This malicious threatens the everyday operation of enterprises. Building classification models from this malicious traffic is an important issue. Classification models can help us to discover new types of attacks based on previously built predictive models. The most prominent attacks on accessibility in the CIA Triad are distributed denial-of-service attacks. By using denial-of-service attacks targeted at the availability of CIA triad, it is intended to block access to services for legitimate users who need to be connected to the service. Just like the Mirai cyber-attack, major service providers like Twitter and Reddit can become inaccessible by simply attacking their DNS servers. The fact that distributed denial-of-service, a rather old type of attack, is still valid today. This paper describes two-stage filtering based network traffic identification based on network flow patterns. The paper shows that the predictive performance of the malicious traffic classification model increases with the filtering of network flow. We use L1 -norm based sparse linear models for feature selection to find an optimal feature set and determine the effect of different features. We demonstrate the effectiveness and performance of the proposed scheme with graphics and tables. Simulation results validate the effectiveness of the proposed classification scheme.
Pengaruh Pengetahuan Zakat dan Citra Lembaga Terhadap Minat Muzakki dalam Membayar Zakat Fitrah

The scientific article has three discussion variables, this variable is zakat knowledge, image of the institution, and interest in muzakki. This paper is the result of a study aiming to want to now influence of two variables, that is the variable, of zakat knowledge on muzakki’s interest, variable image of the institution towards muzakki’s interest, and together two variables zakat knowledge and institutional image towards muzakki’s interest in paying zakat at BAZNAS Banten Province through the Bina Bangsa University Zakat Collecting Unit (UPZ). As for method of writing this scientific article using quantitative research methods the technique used in obtaining samples is with saturated samples, as revealed in Sugiyono’s theory, because the population does not reach 100 people, there only 82 people who actively pay zakat fitrah every year to Banten Provincial BAZNAS through UPZ Bina Bangsa University. in using data collecting questionnaires in the form of a statement list which distributed to respondent, than counduct interviews and documentation, and likert scale measurement using SPSS aids. By looking at research and statistical calculations the linear regression equation Y= 0,005 + 0,680 X 1 + 0,523 X 2 and correlation coefficient (R) = 0,930 while the coefficient of determination (R 2 x 100%) = 88%, which means that the ability of the independent variable in explaining the dependent variable of 86.5%, while the remaining 13.5% is influenced by other aspects not described in this scientific article. Than it can be concluded apparently there is an influence between the knowledge of zakat on muzakki’s interest in paying zakat fitrah of 84.3%, there is also an influence of the institution image on muzakki’s interest in paying zakat fitrah of 82.3%, and there is a simultaneous influence between the knowledge of zakat and the image of the institution towards muzakki’s interest in paying zakat fitrah 86.5%, as well as the rest about 13.5% was influenced by other aspects not explained in this scientific article.
Effect of brefeldin A and the dynamics of the actin plate on cytokinesis of zygotes in the brown alga, Silvetia babingtonii (Fucales, Phaeophyceae)

ABSTRACT In the cytokinesis of brown algae, actin filaments appear like a plate at the intersecting region of microtubules (MTs) that emerge from the centrosomes after mitosis. The function of the actin plate itself is still unknown. To elucidate the relationship between the actin plate, MTs and membrane fusion, without inducing cytoskeleton depolymerization, the effect of brefeldin A (BFA), which prevents the production of vesicles from Golgi bodies, was examined in zygotes of Silvetia babingtonii. The beginning of mitosis was slightly delayed in zygotes under BFA compared with the controls. Almost all zygotes were inhibited for the progression of cytokinesis by BFA treatment. Ultrastructural observations showed that Golgi cisternae became fragmented or curled following continuous treatment with BFA, and the inhibitory status of cytokinesis between zygotes. The next cell cycle started before cytokinesis was completed. Although the appearance of the actin plate was not disturbed by BFA treatment, the behaviour of the actin plate during the transition between the first and second cell cycles could be classified into two patterns: it was either invisible upon the initiation of the next cell cycle, or a portion of it remained even though the next cell cycle had begun. In the latter case, a part of the actin plate seemed to associate with the new partially formed cell partition membrane, and MTs from the centrosomes were bound to it. The actin plate completely disappeared in the next mitosis, then re-emerged in the middle area of the four daughter nuclei. The results of the present study indicated that, under BFA treatment, the actin plate persisted until just before the beginning of the next mitotic phase, when the new, incomplete cell partition membrane was present, and MTs sustained the actin plate until next mitosis.
Prevalence and Factors Associated with Rotavirus Infection among Vaccinated Children Hospitalized for Acute Diarrhea in Mwanza City, Tanzania: A Cross Sectional Study

Introduction: Rotavirus infection is a leading cause of severe diarrhea culminating to dehydration among children under five years of age. Understanding trends and factors that could assist towards devising effective preventive strategies of Rotavirus infection beyond vaccination is crucial. Objectives: This study was done in an attempt to determine the prevalence and associated factors of Rotavirus infection among vaccinated children aged between 6 weeks and 24 months admitted with acute diarrhea Mwanza, Tanzania. Material and Methods: Across sectional study involving vaccinated children aged 6 weeks to 24 months was conducted in three selected hospitals from July 2017 to January 2018. Socio-demographic and other relevant clinical information were collected using a standardized data collection tool adopted from WHO Rotavirus surveillance tool. Rotavirus infection from the stool was detected using an enzyme immunoassay. Data were analyzed using STATA version 13. Results: A total of 301 vaccinated children with acute diarrhea with a median age of 12 [IQR: 8 - 17] months were enrolled. Nine (3.0%) and 292 (97.0%) had received one dose and two doses of Rotavirus vaccine, respectively. The prevalence of Rotavirus infection was 74 (24.6%) [95% CI: 20.0 - 29.8]. Independent predictors of Rotavirus infection were: dry season (OR 6.9; 95% CI: 2.9 - 16.0; p - 4.2; p = 0.043) and vomiting (OR 3.6; 95% CI 1.1 - 12.6; p = 0.045). Children with Rotavirus infection had a significantly shorter hospital stay than those without Rotavirus infection (3 [2 - 4] days versus 3 [3 - 5] days; p = 0.0297). Conclusions: The prevalence of Rotavirus infection has declined among vaccinated children in Mwanza, Tanzania with significant decrease in the hospital stay. Dry seasons, three or more children indwelling in the same house and vomiting were independent predictors of Rotavirus infection. There is a need to sustain the coverage of rotavirus vaccination in low-income countries in order to significantly reduce associated morbidity and mortality.
Molecular phylogeny of trees species in Tripa Peat Swamp Forest, Aceh, Indonesia inferred by 5.8S nuclear gen

Authors. 2018. Molecular phylogeny of trees species in Tripa Peat Swamp Forest, Aceh, Indonesia inferred by 5.8S nuclear gen. Biodiversitas 19: 1186-1193. Tripa peat swamp forest is protected areas that have high biodiversity. Nevertheless, in some areas, the damage occurred due to conversions of land function to oil palm plantations. The impact of conversions of peat swamp forest to oil palm plantations has led to biodiversity decreased. Hence, it is important to identify the remain tree species in Tripa peat swamp forest. This study aimed to determinetrees species diversity in Tripa peat swamp forest by using of 5.8S rRNA nuclear gene. Research was conducted at Forest Genetics and Molecular Forestry Laboratory, Faculty of Forestry, IPB from September 2015 to August 2016. Molecular identification consisted of DNA extraction, PCR analysis, and sequencing. The data were analyzed using Bioedit, MEGA 6, BLAST, and ITS2 database. Molecular identification using ITS 1 and ITS 4 primer successfully amplified (the ITS region ITS1-5.8S-ITS2) of 16 trees species from 9 families. BLAST analysis results indicate the presence of 16 species has similar bases sequence with the GeneBank DNA database. The plant species are Branckenridgea palustris (Ochnaceae), Gonystylus sp. (Thymelaeaceae), Tristaniopsis whiteana (Myrtaceae), Syzygium sp.1 (Myrtaceae), Macaranga triloba (Euphorbiaceae), Syzygium garciniifolium (Myrtaceae), Knema intermedia (Myristicaceae), Palaquium ridleyi (Sapotaceae), Palaquium sp. (Sapotaceae), Dyera lowii (Apocynaceae), Elaeocarpus petiolatus (Elaeocarpaceae), Ficus sp. (Moraceae), Syzygium leptostemon (Myrtaceae), Chilocarpus suaveolens (Apocynaceae), Alstonia pneumatophora (Apocynaceae), and Alstonia sp. (Apocynaceae). Phylogeny tree reconstruction using the Neighbor-Joining Method (NJ) showed that 5.8S rRNA nuclear gene was successful as marker for 16 trees species from 9 different families. In addition, the 5.8S also successful for resolving phylogenetic relationships at genus level i.e. Alstonia, Palaquium, Syzygium, Tristaniopsis, Macaranga, Elaeocarpus, and Ficus.