Miracle-dz/UniFAR-FTUs huggingface dataset:
Postawy nauczycielek i nauczycieli wobec kształcenia na odległość w czasie pandemii COVID-19

Despite the explosion of studies on social consequences of the COVID-19 outbreak, still little is known about the situation of teachers. This research report presents results of a study on teacher’s attitudes toward distance education during the COVID-19 pandemic and their associations with selected characteristicsrelated to the teacher’s profession. The study consisted in answering questions in an online survey. Nearly eight hundred correctly completed surveys were collected. Multivariate analysis of variance (MANOVA) was applied to compare differences between the variables. The results show that the lowest averages on a Likert-type scale describe the cognitive component of attitudes, and the highest ones describe the behavioral component. Awareness of problems with the implementation of the curriculum and basic tasks of the school in the form of a distance education result in teachers’ competence increase and taking specific action. Gender and seniority are not associated with the teachers’ attitudes toward distance education. The type of school and the level of education were associated with attitudes towards distance education. Special schools teachers had the worst experience with distance education. The possible implications of these outcomes are discussed.
Graupel Precipitating From Thin Arctic Clouds With Liquid Water Paths Less Than 50 g m−2

Rimed precipitation growth can efficiently remove moisture and aerosols from the boundary layer, yet thin low‐level Arctic mixed‐phase clouds are generally thought to precipitate pristine and aggregated ice crystals. Here we present automated surface photographic measurements showing that only 34% of precipitation particles exhibit negligible riming and that graupel particles ≥1mm $\ge 1\mathrm{m}\mathrm{m}$ in diameter commonly fall from clouds with liquid water paths less than 50 g m−2. Analyses indicate that significant riming enhancement can occur provided sustained updrafts of 0.4 m s−1, consistent with those measured in Arctic clouds. A Lagrangian numerical simulation that tracks falling particles suggests that similar updraft speeds can account for about one half of the observed riming enhancement. Riming enhancement appears particularly likely when weak temperature inversions are observed at cloud top, but a full explanation remains to be determined.
Relationship between the degree of illness acceptance and depression, anxiety in women with breast cancer and men with colorectal cancer

Introduction Breast and colorectal cancer are often the cause of depressive disorders and anxiety. The aim of this study was to verify the hypothesis that as the level of illness acceptance increases, the level of anxiety and depression decreases. Patients and methods. The study involved 40 women aged 21–74 years, diagnosed with breast cancer and 40 men aged 22–85 years, diagnosed with colorectal cancer . In the study, Beck Depression Inventory, Acceptance of Illness Scale, mini-Mental Adjustment to Cancer (Mini-MAC) Scale and a questionnaire (respondent's particulars of own authorship) were used. Results. Among men, the level of illness acceptance was low in 52.5%, medium in 20%, high in 27.5% of patients, whereas among women – 85%, 10% and 5% respectively. In the group of men, depression was not found in 40%, mild depression in 15%, moderate depression in 25% and severe depression in 20% of patients, the mean value of the level of depression was 16.7 ± 11.2; among women — 2.5%, 2.5%, 5% and 90% of respondents respectively, the mean value was 34.4 ± 7.8. Among men, the mean values of anxiety absorption were 18.13 ± 5.69, helplessness/hopelessness – 16.95 ± 6.03, destructive style — 35.08 ± 11.53, whereas the mean values among women were 26 ± 3,02, 22,6 ± 2,28 and 48,63 ± 5,13 respectively. Significant negative correlations between the degree of illness acceptance and depression/anxiety were shown, with absolute values of correlation coefficients being higher in women. Conclusions. Women diagnosed with breast cancer show the low level of illness acceptance, high level of anxiety and often suffer from depression, while men diagnosed with colorectal cancer show the average level of illness acceptance and anxiety as well as less often suffer from depression.
Cell-Material Interaction - Spreading Course Correlates with Surface Charge

To design appropriate materials for tissue engineering, a profound understanding of the cell-material interaction is essential. We are of the opinion that the zeta (ζ) potential has a decisive role in the cell behaviour, outshining wettability. Here we present a comparative analysis of the MG-63 osteoblastic cell spreading behaviour on negatively and positively charged surfaces in the hydrophilic range. The results indicate a correlation of the cells’ spreading area with the surface charge. Thus, the ζ-potential should be considered as a key parameter for cell interactions at the biomaterial interface.
Breath Analysis for Detecting Diseases on Respiratory, Metabolic and Digestive System

Recently, biological technology and computer science are of great importance in medical applications. Since one’s breath biomarkers have been proved to be related with diseases, it is possible to detect diseases by analysis of breath samples captured by e-noses. In this paper, a novel medical e-nose system specific to disease diagnosis was used to collect a large-scale breath dataset. Methods for signal processing, feature extracting as well as feature & sensor selection were discussed for detecting diseases on respiratory, metabolic and digestive system. Sequential forward selection is used to select the best combination of sensors and features. The experimental results showed that the proposed system was able to well distinguish healthy samples and samples with different diseases. The results also showed the most significant sensors and features for different tasks, which meets the relationship between diseases and breath biomarkers. By selecting best combination of different sensors and features for different tasks, the e-nose system is shown to be helpful and effective for diseases diagnosis on respiratory, metabolic and digestive system.
Finding their Flock-professional learning for experienced teachers

In a time of curriculum and school reform, how teachers interpret the curriculum and seek out professional learning becomes an important part of the enactment of teaching practices in schools. This research investigates how experienced Ontario elementary teachers use their personal and professional knowledge to define what they consider to be personal, purposeful and relevant professional learning; authentic professional learning (Mockler, 2013; Webster-Wright, 2009). The study uses a narrative approach, which takes a situated, holistic perspective in examining teachers’ lived experience and motivation for engaging in professional learning (Webster-Wright, 2009). The findings show how experienced teachers seek out learning opportunities that honour their professional knowledge, integrity and identity. While looking for a sense of autonomy in their learning they also expressed a desire to work with other experienced teachers in order to collaborate, communicate and construct new learning. Their agency is fashioned through the interaction with others - their flock - when building their professional knowledge (Prieslty, Biesta, Robinson, 2015). As experienced teachers are a rich resource, capable of building up the educational profession, it becomes important for the educational system to capitalize on their professional capital, wisdom and knowledge.
Impacts of a multi-trap line on benthic habitat containing emergent epifauna within the Mid-Atlantic Bight

Alteration and degradation of benthic structure by fishing gear can impede efforts to manage fish stock sustainably. Although the impacts of mobile gear are well known, effects of passive gear (e.g. fish traps) upon structure have been little studied. We modified commercial traps for American lobster Homarus americanus and black sea bass Centropristis striata by attaching GoPro® cameras to ascertain the degree and nature of impacts to seafloor habitats. Customized traps were included within a line of 20 traps, deployed and retrieved according to standard commercial fishing practice. Less than 5% of traps landed directly on bedforms when deployed. However, during retrieval traps dragged along the ocean floor, increasing trap–habitat contact rate to 50%, and causing traps to collide with corals, bryozoans, and other epifauna. Drag time of traps depended on the position in the trap line. Experimentally extending the trap line reduced drag time during retrieval for traps near the distal end of the line. Our results show that impacts of commercial trap fishing can be substantial during trap retrieval, and that the impact depends on their location on a trap line. Fishing practices should be developed that minimize effects of trap retrieval on structural benthic habitat.
Kako smo? Život u Hrvatskoj u doba korone : Preliminarni rezultati istraživačkog projekta

U ovoj su monografiji prikazani preliminarni nalazi istraživanja Kako smo? , koji pokazuju kakvo je psiholosko stanje građana Hrvatske i kako su se s pandemijom COVID-19 i potresom u Zagrebu nosile osobe svih generacija i u razlicitim životnim ulogama: od ucenika i studenata, preko osoba u vezi i samaca, roditelja maloljetne djece, zaposlenih i nezaposlenih osoba do umirovljenika. Pokazale smo kako su se doživljene promjene u nacinu života odrazile na razine stresa, anksioznosti i depresivnosti razlicitih podskupina građana, koji su bili najveci rizicni cimbenici te sto se pokazalo najvažnijim zastitnim cimbenicima nenarusenog psihickog zdravlja.
Propagation Prediction of Mobile Networks at Buraidah Region via Different Frequencies and Terrain Profile

Received Signal Strength Indicators (RSSI) is one of the main concerns in any wireless communication system deployment. Most of wireless infrastructure providing best connection for costumers as well as minimizing the wasted energy. This paper concentrated on major issues affect the signal disturbers in the area of study using well known empirical models to predict signal behaviours over different trainset profile in suburban area to obtain the best predicted model based on criteria caused by (RSSI). Stanford University Interim (SUI) and extended COST 231-Hata propagation models with actual measured data on different carrier frequencies has been considered for best prediction. The results show that the SUI propagation model gives the best performance according to the collected data in the area of study compared to the extended COST 231-Hata. The significant investigation in this paper confirmed by presenting the average signal in the path loss prediction.
Zamia paucifoliolata, a new species of Zamia (Zamiaceae, Cycadales) from Valle del Cauca, Colombia

Zamia paucifoliolata, a new cycad species from the Pacific lowlands of Valle del Cauca, Colombia, is described and illustrated. It is distinguished from other species of Zamia by having an underground stem typically bearing large solitary leaves with eighteen or fewer leaflets, villous strobilar axes, microsporangia borne on both the abaxial and adaxial side of microsporophylls, and seeds that are longer than 18 mm. It is compared to Z. pyrophylla, Z. cunaria, and Z. ipetiensis, species which it most closely resembles.
Isolation and characterization of extracellular vesicles from Caenorhabditis elegans for multi-omic analysis

Cells from bacteria to human release vesicles into their extracellular environment. These extracellular vesicles (EVs) contain multiple classesof molecules, including nucleic acids, proteins, and lipids. The isolation and analysis of EV cargos from mammalian cell culture and liquid biopsysamples has become a powerful approach for uncovering the messages that are packaged into these organelles. However, this approach has not been tenable in invertebrate model systems due to lack of sufficient amounts of pure EVs. Here we report a robust and reproducible procedure to isolateEVs from Caenorhabditis elegans with yields similar to those obtained from human cell culture. Through nanoparticle tracking, transmission electron microscopy, flow cytometry, mass spectrometry, RNAseq, and immunoaffinity analysis we provide the first ever detailed characterization of C. elegans EV composition and demonstrate that C. elegans EVs share fundamentally similar properties with their mammalian counterparts. These include vesicle size, enrichment for lipid rafts, and similar types of RNA and protein cargos. This ability of isolate pure EVs on ascale amenable to multiple types of downstream analyses permits, multi-omics characterization of EV cargos in an invertebrate model system.
Implementation of Open Vote Network in Blockchain Signaling System Using Decentralized Autonomous Organization Smart Contract in Ethereum Blockchain

In the paper "A blockchain-Based Architecture for Collaborative DDoS Mitigation," Rodrigues, Bocek, Lareida, Hausheer, Rafati, and Stiller proposed a collaborative DDoS signaling system using the Ethereum blockchain and smart contract for AS owners to cooperate and mitigate a DDoS attack in a fully decentralized manner. Rodrigues, Bocek, and Stiller later created a proof-of-concept of this system and called it Blockchain Signaling System (BloSS). In their architecture, AS owners will deploy their smart contract on the Ethereum blockchain for other members to signal when they are under attack by sending IP addresses to be white or blacklisted to the smart contract. BloSS uses a central registry to store information on participating Autonomous Systems (AS) IP addresses it managed, Ethereum wallet addresses, and their smart contact address for victims to report attacker's IP addresses in the event of a DDoS attack. However, a trusted central authority is required to manage the registry. The members of the collaboration need to believe that the central authority is honest in performing its role since membership in the alliance is up to the central authority discretion. McCorry, Siamak, and Hao present a decentralized and self-tallying voting protocol with maximum voter secrecy using Ethereum smart contract called Open Vote Network (OV-net) that does not rely upon any trusted authority to tally the vote. Nevertheless, it still requires an administrator to set up the election and add voters to the election. Therefore, the voters still need to trust a central authority to manage the election and to make sure those who are eligible to vote are in the voters' list. The goal of this project is to implement a self-managed blockchain scheme based on the collaborative DDoS mitigation architecture proposed by Rodrigues et al., where participation in the collaboration requires members' consensus. We introduced a decentralized autonomous organization (DAO) smart contract called ElectionCommissioner to manage the membership to BloSS central registry. The addition or removal of member needs to the registry needs to be proposed by an existing member. When a member submits a proposal, the Election Commissioner will advertise the proposal to the community. The members then register their interest to vote by sending their voting key and Ethereum token (ETH) as a deposit, which is refundable after the election. The Election Commissioner executes an “election process” (described in section IV) to determine the support for a proposal to add or remove a member. After voting, the Election Commissioner will tally the vote and if the executes the proposal if it is accepted by most of the registered voters.
Caution in the time of cholera: Pathogen threats decrease risk tolerance.

Although frequently characterized as undesirable, risk-taking is an integral part of human social life. Research into the factors that influence risk-taking therefore represents an important area of study in the evolutionary sciences. The current research draws from research on humans’ pathogen avoidance psychology, life history theory, and sickness behavior to examine the role that pathogen threat plays in modulating risk tolerance. Across 4 studies, we measured or manipulated pathogen threat cues and examined their effect on risk tolerance. Results revealed a consistent pattern whereby people preferred less risk when the threat of illness was high. This pattern was observed using both self-report measures and behavioral assays but was eliminated when the threat was experimentally minimized. The current research provides evidence of a conceptual link between pathogen threats and global tolerance for risk, demonstrating a tendency to play it safe when the threat of illness is high.
Combination of Composite Autonomic Symptom Score 31 and Heart Rate Variability for Diagnosis of Cardiovascular Autonomic Neuropathy in People with Type 2 Diabetes

Objective Cardiovascular autonomic neuropathy (CAN) is a common but severe problem of diabetes, which a timely diagnosis may have important clinical implications. This study was carried out to investigate the diagnostic performance of Composite Autonomic Symptom Score 31 (COMPASS 31) combined with heart rate variability (HRV) for cardiovascular autonomic neuropathy in type 2 diabetes. Methods A total of 103 hospitalized subjects with type 2 diabetes were recruited in the study. All cases received clinical data collection, laboratory examination, and related complication examinations. Cardiovascular autonomic function was assessed using CARTs, COMPASS 31, and HRV analyses. A score of at least 2 based on CARTs was defined as CAN. Results Of the 103 subjects with type 2 diabetes, 41.8% were diagnosed with confirmed CAN. Participants with CAN had considerably higher COMPASS 31 scores. The CAN group showed a significant decrease in all HRV indices. COMPASS 31 scores and HRV indices were closely correlated with CARTs (P < 0.05). Receiver operating characteristics (ROC) curve results showed that COMPASS 31 score identified CAN with an AUC value of 0.816, while the AUC values of HRV indices were 0.648 to 0.919, among which SDNN and LF had the best diagnostic value, with the AUC values of 0.919 and 0.865, respectively. When combining COMPASS 31 score with SDNN and LF, the AUC value increased to 0.958, with a sensitivity of 90.7% and a specificity of 86.7%. Conclusions The combination of COMPASS 31 and HRV could improve the diagnostic performance of CAN in type 2 diabetes, which might be conducive to the diagnosis of CAN.
svtools: population-scale analysis of structural variation

Summary Large-scale human genetics studies are now employing whole genome sequencing with the goal of conducting comprehensive trait mapping analyses of all forms of genome variation. However, methods for structural variation (SV) analysis have lagged far behind those for smaller scale variants, and there is an urgent need to develop more efficient tools that scale to the size of human populations. Here, we present a fast and highly scalable software toolkit (svtools) and cloud-based pipeline for assembling high quality SV maps – including deletions, duplications, mobile element insertions, inversions, and other rearrangements – in many thousands of human genomes. We show that this pipeline achieves similar variant detection performance to established per-sample methods (e.g., via LUMPY), while providing fast and affordable joint analysis at the scale of ≥100,000 genomes. These tools will help enable the next generation of human genetics studies. Availability and Implementation svtools is implemented in Python and freely available (MIT) from https://github.com/hall-lab/svtools. Contact ihall@wustl.edu
New Records of Tricolored Bats (Perimyotis subflavus) in Colorado, with First Evidence of Reproduction

Abstract. The tricolored bat (Perimyotis subflavus) is widely distributed throughout eastern North America. However, this species has also undergone severe population declines in areas where white-nose syndrome has taken hold. Previous records in Colorado showed what appeared to be vagrant individuals with no evidence of established populations. Herein we provide new records for Boulder and Weld Counties, Colorado. We also provide evidence of reproduction supporting the hypothesis of westward expansion of this species. Because the tricolored bat has been significantly impacted by white-nose syndrome in eastern North America, the Rocky Mountain West may provide at least a temporary refugium from this disease.
PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA FP-GROWTH UNTUK PENENTUAN STRATEGI PROMOSI FAKULTAS ILMU KOMPUTER UNIVERSITAS KUNINGAN

Nowadays, competition between campuses is increasing in order to attract as many new students as possible. This has an impact on management at the faculty level. Limited funding and efficiency demands cause managers at the faculty level to try to find the right strategy to achieve the student targets that have been determined. The right strategy is able to minimize the use of funds and achieve the targets set. This study aims to analyze data mining techniques with the help of the FP-Growth algorithm. FP-Growth algorithm which is a development of the Apriori algorithm. FP-Growth is one alternative algorithm that can be used to determine the set of data that most often appears (frequent item sets) in a data set. The study was conducted by observing several research variables that are often considered by faculties in determining the promotion objectives, namely the Latest Education, Departments, Study Program Choices. The results of this study are in the form of a strategy determination recommendation using the FP-Growth algorithm that uses the concept of FP-Tree development in searching for Frequent Itemset
The molecular-genetic and phylogenetic analysis of the hemaglutinin gene from influenza viruses

Aim. To perform a phylogenetic and molecular-genetic analysis of the HA genes of influenza viruses that circulated in Ukraine during the 2016–2017 epidemic season, and to compare them with those that circulated in the world. Methods. Samples (nasopharyngeal swabs from patients) were analyzed using the real-time polymerase chain reaction (RT-PCR). Phylogenetic trees were constructed using MEGA 7 software. 3D structures were constructed in Chimera 1.11. 2rc software. Results. Ukrainian isolates from the 2016–2017 season have substitutions in the antigenic sites which were not detected earlier; they and can influence the antigenic properties of viruses. Otherwise the A(H3N2) and B/Victoria viruses retained the similarity to the vaccine strains. For the A(H1N1)pdm09, a higher similarity to the vaccine strain recommended for the 2017–2018 epidemic season was observed. Conclusions. In the 2016‒2017 epidemic season, all influenza viruses — A(H3N2), A(H1N1)pdm09 and B/Victoria acquired a number of unique amino-acid substitutions in the HA gene. The results of this study reaffirm the continuous genetic variability of circulating seasonal influenza viruses and the need for continued system-atic antigenic and molecular surveillance.