Miracle-dz/UniFAR-FTUs huggingface dataset:
Bovine tuberculosis in a Reeves’s muntjac (Muntiacus reevesi) in a private animal collection in Poland – management and legal implications

Introduction and Objective. Bovine tuberculosis (BTB) remains an emerging problem in animals, and particular care is required in zoos to protect the health of the public visitors (zoonosis) and the unique animals kept in them, which may be endangered species. In larger zoos, the problem is controlled to a greater extent than in private animal collections. Such places pose a significant risk as visitors make direct contact with animals. The article presents the management, diagnostics of a case of BTB in a ‘private animal collection’, and discusses the legal implications. Materials and method. Briefly, a post-mortem examination was performed in two Reeves’s muntjacs (Muntiacus reevesi) in the private animal collection in Poland. Due to the suspicion of BTB, microbiological examination on Lowenstein-Jensen and Stonebrink media and subsequent genotyping was performed. Results. Post-mortem examination revealed BTB-like lesions. Tests showed that the animals were infected with Mycobacterium bovis. Conclusions. Taking into account the lack of obligation to monitor infectious zoonotic diseases, the often unknown origin of animals and, frequently, very close contact between people and animals in private animal collections, there is a need to clarify the legal obligations of owners of these private animal collections in Poland to ensure public health protection. The findings of this investigation demonstrate that due to the lack of precise epidemiological data for BTB, it is difficult to define the epidemiological status of private animal collections, and further management depends on the owner’s cooperation with veterinarians.
Aromatase Inhibitors and Risk of Metabolic and Cardiovascular Adverse Effects in Breast Cancer Patients—A Systematic Review and Meta-Analysis

Aromatase inhibitors (AIs) have been considered first-line therapy for patients with hormone-dependent breast cancer due to their high efficacy and good tolerability. However, AIs are not free of adverse events, and studies show that therapy with AIs is associated with an increased risk of cardiovascular events and the development of insulin resistance and diabetes. We searched the Cochrane Central Register of Controlled Trials, PubMed and EMBASE up to 27 October 2020 for the prevalence of cardiovascular and/or metabolic adverse effects during treatment with AIs in postmenopausal women with breast cancer. A meta-analysis was performed using a random effects model. Odds ratios and 95% confidence intervals were calculated and illustrated using forest plot charts. We performed separate analyses depending on trial design. Twenty two studies met the inclusion criteria. AIs were associated with a higher risk of cardiovascular events, especially when we compared study arms in which AIs were used (alone or in sequence with TAM) with the arms in which TAM was used alone (OR = 1.16; 95%CI 1.04–1.30) or when comparing patients taking AIs alone to patients taking TAM alone or in sequence with AIs (OR = 1.24; 95%CI 1.11–1.38). A pooled analysis of five trials comparing adjuvant AIs to TAM showed the odds for arterial hypertension being 1.31 times higher for patients taking AIs; however, this did not reach statistical significance (OR = 1.31; 95%CI 0.47–3.65). We have not shown an increased risk of dyslipidemia or weight gain with the use of AIs. Our results suggest that postmenopausal women with breast cancer treated with AIs have an increased risk of cardiovascular events in comparison with TAM, potentially due more to a cardioprotective effect of the latter than the cardiotoxicity of AIs. We were unable to prove a similar association for hypertension, dyslipidemia, hyperglycemia or weight gain. Further high-quality RCTs and post-marketing safety observational studies are needed to definitively evaluate the impact of AIs on metabolic disorders in breast cancer patients.
The Computer Simulation for Triggering Anxiety in Panic Disorder Patients Modulates the EEG Alpha Power during an Oddball Task

Aim: The present study investigated the differences between the Panic Disorder (PD) patients groups’ and healthy controls for the EEG alpha dynamics under the frontal cortex and reaction time during the oddball task. Material and Methods: The reaction time during the oddball paradigm concomitant to EEG alpha power was tested in nine PD patients and ten healthy controls before and after a computer simulation presentation. Results: The findings revealed a decrease in EEG alpha power in PD patients concerning the control group (p ≤ 0.0125). However, both groups demonstrated an increased cortical oscillation after the computer simulation, except for the Fp1 electrode during M3 moment in the experimental group. The experimental group has a fast reaction time compared to healthy individuals during the oddball task (p = 0.002). Conclusions: We propose that the decrease in EEG alpha power in the PD patients may indicate an increase in processing related to an anxiogenic stimulus and interference of the anxiety state that compromises the inhibitory control. The reaction time task reveals cognitive symptoms in the experimental group, which may be related to the faster reactivity and high impulsivity to stimuli.
Cash Dividend Policy Analysis in The Property Industry Listed on IDX

The purpose of this study is to examine the relationship between the current ratio, debt-to-asset ratio, return on asset ratio, firm size, and asset growth and the dividend payout ratio in the property, real estate, and building construction industry as represented by the Indonesia Stock Exchange (IDX) from 2016 to 2018. The research population was comprised of all property, immobilier and building subsectors traded publicly at the Indonesian Stock Exchange (IDX) between 2016 and 2018, with a total of 51 companies. Gather data from the 14 firms featured in the research has been employed with purposive sampling. Data from the IDX annual report were received, which can be accessed at www.IDX. co.id. In this research, a regression of panel data was used to analyze the data. The current ratio, asset return and company size appear to have no significant influence on decisions on cash dividends. Only the debt-to-asset ratio and asset growth have an important impact on decisions concerning cash dividends
Interaction of Proteins with Inverted Repeats and Cruciform Structures in Nucleic Acids

Cruciforms occur when inverted repeat sequences in double-stranded DNA adopt intra-strand hairpins on opposing strands. Biophysical and molecular studies of these structures confirm their characterization as four-way junctions and have demonstrated that several factors influence their stability, including overall chromatin structure and DNA supercoiling. Here, we review our understanding of processes that influence the formation and stability of cruciforms in genomes, covering the range of sequences shown to have biological significance. It is challenging to accurately sequence repetitive DNA sequences, but recent advances in sequencing methods have deepened understanding about the amounts of inverted repeats in genomes from all forms of life. We highlight that, in the majority of genomes, inverted repeats are present in higher numbers than is expected from a random occurrence. It is, therefore, becoming clear that inverted repeats play important roles in regulating many aspects of DNA metabolism, including replication, gene expression, and recombination. Cruciforms are targets for many architectural and regulatory proteins, including topoisomerases, p53, Rif1, and others. Notably, some of these proteins can induce the formation of cruciform structures when they bind to DNA. Inverted repeat sequences also influence the evolution of genomes, and growing evidence highlights their significance in several human diseases, suggesting that the inverted repeat sequences and/or DNA cruciforms could be useful therapeutic targets in some cases.
Financial stability: a ‘vaccine’ for tail risk of the global banking sector in the shadow of the pandemic

ABSTRACT This study examines the association between bank tail risk and the ongoing COVID-19 pandemic. We use a sample of 868 listed banks across 98 countries from 2002 to 2020, yielding a cross-country panel sample of 15,791 bank-year observations. We find that different components of bank tail risk (i.e. systematic and idiosyncratic) have increased during the health crisis but less so for stronger banks (i.e. more profitable, higher market valuation, lower stock volatility). The result implies that the pandemic results in a higher possibility of suffering extremely large losses in the stock prices of the global banking sector. However, banks with higher profitability and financial stability levels can better prepare themselves to tackle the crisis more effectively and hence are less likely to suffer extreme equity devaluations. Therefore, we contend that financial stability acts as a ‘vaccine’ for the bank tail risk in the shadow of the pandemic. We finally confine the results to some specific geographic settings; typically, they are more intensified in countries with more financial freedom, middle income-generating, and large banks.
Stressful Life Events and Depression During the Recurrent Outbreak of COVID-19 in China: The Mediating Role of Grit and the Moderating Role of Gratitude

Purpose COVID-19 has been exerting tremendous influence on an individual’s physical behavior and mental health. In China, prolonged isolation may lead to depression among college students during the recurrent outbreak of COVID-19. We conducted this study to explore the relationship among stressful life events, grit, gratitude, and depression in college students during the recurrent outbreak of COVID-19. Methods We investigated 953 college students from across China, with an average age of 20.38 (SD=1.39) years. Participants completed four scales (Stressful Life Events Scale, Oviedo Grit Scale, Gratitude Questionnaire, and Patients’ Health Questionnaire Depression Scale-9 item). Results The present study found that (1) stressful life events were positively correlated with depression in college students; (2) grit mediated the positive relationship between stressful life events and depression; (3) gratitude moderated the relationship between grit and depression, and such that there was a stronger association between grit and depression for college students with high gratitude. Conclusion This study was of great significance for studying the relationship between stressful life events and depression in Chinese college students during the recurrent outbreak of COVID-19. Results indicated that grit and gratitude of college students may be the main targets of depression prevention and intervention. The research conclusion has theoretical and reference value for solving and preventing depression in college students during the recurrent outbreak of COVID-19.
GRILLBot: A flexible conversational agent for solving complex real-world tasks

We present GRILLBot, a multi-modal task-oriented voice assistant to guide users through complex real-world tasks for the Alexa TaskBot Challenge. An effective TaskBot has to guide a user through a long and complex task, be engaging, and help solve problems along the way. GRILLBot achieves this in the domains of cooking and home improvement by helping search over a large task corpus with mixed-initiative and executing those tasks with neural dialogue management, knowledge grounded question answering, and web information extraction. To represent each task, we propose TaskGraphs as a dynamic graph unifying steps, requirements, and curated domain knowledge enabling detailed contextual explanations and adaptable task execution. Automatic linking of multi-modal elements helps the user navigate through the task and enrich the experience with helpful videos and images. Broad use of neural language models makes for flexible chit-chat, contextual intent parsing, and accurate task retrieval. Upon entering the competition finals, GRILLBot achieves a final month average rating of 3.86/5.0 and excels in longer conversations.
Design for serendipity: a Research through Design approach

ing the previous ideas further, I considered making a “relevance map”, showing the DDC classification and the distance of relevance between the books through tags. This is where the models get increasingly complex and might need a closer study. Consider for example the two books The history of Western philosophy and The order of things. They will have a number of tags in common. For example, they both have the tags “sociology”, “history of science”, “history of ideas”, “philosophy”, and “history” in common. The tags are placed along the arch and the distance
Foaming and Structural Studies on the Acidic Subunit of Amaranth 11S Globulin Modified with Antihypertensive Peptides as a Function of pH and Ionic Strength

Some studies aimed at revealing the relationship between protein structure and their functional properties. However, the majority of these reports have been carried out using protein isolates. There are limited reports on the possible relationship between the functional properties and the structure of a purified protein. In this work the amaranth 11S globulin acidic subunit (AAC) and five mutations of the same protein that were modified in their variable regions with antihypertensive peptides (VYVYVYVY and RIPP), were analyzed at two ionic strength (2.9 and 17.6 g/L NaCl) and pH (3.0–7.0). Results revealed better solubility for the proteins mutated at the terminal ends (AACM.1 and AACM.4) and lower solubility for the protein inserted with RIPP peptide. Spectroscopy studies revealed an increase of β-sheet structure at high salt concentration for all proteins. It was also observed that salt concentration acted as a modulator, which allowed a better foam features for all modified proteins limiting movement of side chains and reducing red-shifted displacement of λmax. All proteins showed foam capacity ranging from 76 to 93% although foam stability was twofold better for modified proteins than for AAC at high salt concentration. This study allowed better understanding about the structural changes that influence the foaming properties of engineered proteins.
Roof top PV for charging the EV using hybrid GWO-CSA

In this paper, a novel idea of charging the vehicle on the go while using the solar panels on the roof of the vehicle is introduced. The use of electric vehicles has increased among people as the vehicles are affordable. Electric vehicle charging is one of the major problems faced by most manufacturers today. The PV panels take the energy from sunlight, and it can charge the vehicle battery. When the vehicle is moving on the road, the power extraction for charging may not be proper due to the partial shaded condition. To extract sufficient power for charging, a hybrid optimization algorithm has been introduced. In this paper, an electric vehicle model that uses the hybrid optimization algorithm of grey wolf optimization and cuckoo search algorithm (GWO-CSA) is developed and compared with the conventional particle swarm optimization (PSO) algorithm. The extraction of maximum power and the performance of the vehicle are analysed using MATLAB/Simulink, and the simulation results are discussed. To test the effectiveness of the algorithm, it is compared with the other three algorithms.
Epidemiology of Helicobacter pylori in Australia: a scoping review

Background Helicobacter pylori (H. pylori), a bacterium implicated in the development of peptic ulcer and gastric cancer, is estimated to infect around half the world’s population. Its prevalence in Australia is unclear. This scoping review aimed to evaluate all Australian literature providing estimates of the prevalence of H. pylori. Methods Australian studies examining H. pylori prevalence from 1982 onwards were eligible for inclusion. Medline, Embase and Scopus databases, and grey literature sources, were searched. Two independent reviewers undertook a two-stage screening process. Data were extracted by two independent reviewers using a pre-specified template. Results Of 444 identified studies, 75 were included in the review. H. pylori prevalence in Australian population-based studies (n = 8) ranged from 38.0% in 1991 to 15.1% in 2002; however, estimated prevalence across all non-clinical population studies in diverse sub-groups (n = 29) has varied dramatically. Decreased prevalence has been more marked in populations with gastrointestinal symptoms and conditions compared to non-clinical populations. Data on H. pyloriprevalence in vulnerable populations are lacking. Conclusions This is the first scoping review of Australian studies reporting H. pylori prevalence. A wide range of study designs, population groups, geographic regions, and diagnostic methods was included, involving data collected over a 50-year period (1969 to 2018). The summary of H. pylori prevalence estimates over time in this review points to a decrease in prevalence in Australia, particularly among populations with gastrointestinal symptoms and illnesses; however, it is unknown whether there is inequity in prevalence trends across vulnerable sub-groups of the Australian population. Future research and interventions supporting the health and wellbeing of vulnerable populations is required to ensure equitable health gains are made for all.
BepFAMN: A Method for Linear B-Cell Epitope Predictions Based on Fuzzy-ARTMAP Artificial Neural Network

The public health system is extremely dependent on the use of vaccines to immunize the population from a series of infectious and dangerous diseases, preventing the system from collapsing and millions of people dying every year. However, to develop these vaccines and effectively monitor these diseases, it is necessary to use accurate diagnostic methods capable of identifying highly immunogenic regions within a given pathogenic protein. Existing experimental methods are expensive, time-consuming, and require arduous laboratory work, as they require the screening of a large number of potential candidate epitopes, making the methods extremely laborious, especially for application to larger microorganisms. In the last decades, researchers have developed in silico prediction methods, based on machine learning, to identify these markers, to drastically reduce the list of potential candidate epitopes for experimental tests, and, consequently, to reduce the laborious task associated with their mapping. Despite these efforts, the tools and methods still have low accuracy, slow diagnosis, and offline training. Thus, we develop a method to predict B-cell linear epitopes which are based on a Fuzzy-ARTMAP neural network architecture, called BepFAMN (B Epitope Prediction Fuzzy ARTMAP Artificial Neural Network). This was trained using a linear averaging scheme on 15 properties that include an amino acid ratio scale and a set of 14 physicochemical scales. The database used was obtained from the IEDB website, from which the amino acid sequences with the annotations of their positive and negative epitopes were taken. To train and validate the knowledge models, five-fold cross-validation and competition techniques were used. The BepiPred-2.0 database, an independent database, was used for the tests. In our experiment, the validation dataset reached sensitivity = 91.50%, specificity = 91.49%, accuracy = 91.49%, MCC = 0.83, and an area under the curve (AUC) ROC of approximately 0.9289. The result in the testing dataset achieves a significant improvement, with sensitivity = 81.87%, specificity = 74.75%, accuracy = 78.27%, MCC = 0.56, and AOC = 0.7831. These achieved values demonstrate that BepFAMN outperforms all other linear B-cell epitope prediction tools currently used. In addition, the architecture provides mechanisms for online training, which allow the user to find a new B-cell linear epitope, and to improve the model without need to re-train itself with the whole dataset. This fact contributes to a considerable reduction in the number of potential linear epitopes to be experimentally validated, reducing laboratory time and accelerating the development of diagnostic tests, vaccines, and immunotherapeutic approaches.
Bacterial Utilisation of Aliphatic Organics: Is the Dwarf Planet Ceres Habitable?

The regolith environment and associated organic material on Ceres is analogous to environments that existed on Earth 3–4 billion years ago. This has implications not only for abiogenesis and the theory of transpermia, but it provides context for developing a framework to contrast the limits of Earth’s biosphere with extraterrestrial environments of interest. In this study, substrate utilisation by the ice-associated bacterium Colwellia hornerae was examined with respect to three aliphatic organic hydrocarbons that may be present on Ceres: dodecane, isobutyronitrile, and dioctyl-sulphide. Following inoculation into a phyllosilicate regolith spiked with a hydrocarbon (1% or 20% organic concentration wt%), cell density, electron transport activity, oxygen consumption, and the production of ATP, NADPH, and protein in C. hornerae was monitored for a period of 32 days. Microbial growth kinetics were correlated with changes in bioavailable carbon, nitrogen, and sulphur. We provide compelling evidence that C. hornerae can survive and grow by utilising isobutyronitrile and, in particular, dodecane. Cellular growth, electron transport activity, and oxygen consumption increased significantly in dodecane at 20 wt% compared to only minor growth at 1 wt%. Importantly, the reduction in total carbon, nitrogen, and sulphur observed at 20 wt% is attributed to biotic, rather than abiotic, processes. This study illustrates that short-term bacterial incubation studies using exotic substrates provide a useful indicator of habitability. We suggest that replicating the regolith environment of Ceres warrants further study and that this dwarf planet could be a valid target for future exploratory missions.
Empirically based HRM recommendations for managing multigenerational engagement processes

The study examined the profile of Generation Y employees from their managers' perspective in the non-Western context of Bangladesh, a country with the eighth largest population in the world (163,654,860), with a median age of 23.6 years. We also investigated challenges that arise when integrating members of the fast-growing Generation Y workforce with managers from different generations.
Mandatory coursework assignments can be, and should be, eliminated!

ABSTRACT Formative assessment can serve as a catalyst for increased student effort and student learning. Yet, many engineering degree programmes are dominated by summative assessment and make limited use of formative assessment. The present case study serves as an example on how formative assessment can be used strategically to increase student effort and improve student learning. Within five courses of an engineering bachelor degree programme in Norway, the mandatory coursework assignments were removed and replaced by formative-only assessment. To facilitate the formative assessment, weekly student peer-assessment sessions were introduced. The main findings include an increase in student study hours and improved student performance on the examinations. Finally, interviews were conducted by an external consultant in an effort to identify key factors that attributed to the positive outcome.