Miracle-dz/UniFAR-FTUs huggingface dataset:
Varicella Zoster Virus Infections in Patients with Hemtologic Malignancies and Bone Marrow Failure and in Recipients of Hematopoietic Stem Cell Transplantation

Varicella zoster virus infections can cause can cause serious complications that carry significant morbidity and mortality. The hematological complications of VZV infections can range from transient cytopenias to severe aplastic anemia that may require allogeneic hematopoietic stem cell transplantation. On rare occasions, these infections have been reported to be associated with increased risk of developing lymphoid malignancies and solid tumors. On the contrary, there is growing evidence showing certain beneficial effects of the virus in immunocompromised individuals and these effects may be translated into stimulation of bone marrow function, prolongation of overall survival, and specific antitumor effects. In this review which gives particular attention to consequences of varicella zoster virus infection in patients with bone marrow failure, hematologic malignancy and recipients of stem cell transplantation, the following aspects of the virus will discussed: epidemiology, pathogenesis, clinical consequences, management of infections; bone marrow microenvironment and stressinduced hematopoiesis; cells implicated in the pathogenesis of the virus such as: mesenchymal stem cells, dendritic cells, natural killer cells, T-cells and mononuclear cells; the involved cellular proteins such as open reading frames, glycoproteins, promyelocytic leukemia protein, chaperons, and SUMOs; extracellular vesicles, exosomes, and micro-RNAs; as well as signaling pathways, cytokines, chemokines, and interferons that are implicated in the pathogenesis of VZV infections.
The Implementation and Assessment of an I-Corps Site at a Southwestern University: Lessons Learned

In this paper, we presented program implementation and evaluation for an I-Corps Site focused solely on engineering undergraduate and graduate students in a large Southwestern public university. The program implementation component included program data associated with curriculum content and format, recruiting approach, and participant data from five cohorts. Due to the delayed employment of the assessment, the evaluation component included findings from two cohorts using preand post-quizzes on knowledge of entrepreneurship terms and preand post-surveys that captured changes in perceptions of entrepreneurship and customer interview. The results of this study indicated that while student interest on entrepreneurship remained constant, there were significant improvements of participants in three areas of self-efficacy: (a) entrepreneurship, (b) marketing and business planning, and (c) customer interview skills. Regarding practice of customer discovery skills through interviews, students identified four areas in which they desired additional improvement: (a) formulating the right question, (b) contact identification within the market, (c) guiding discussion for useful customer feedback, and (d) interview presence. This paper provides valuable information for institutions interested in pursuing an I-Corps Site grant and to those who already have a grant but are looking for additional ways to further enhance program impact on their campus.
In£uenceoftemperatureand soilwater contenton bacterial, archaeal and denitrifyingmicrobial communities in drained fen grassland soilmicrocosms

In this study, microcosms were used to investigate the influence of temperature (4 and 28 1C) and water content (45% and 90% WHC) on microbial communities and activities in carbon-rich fen soil. Bacterial, archaeal and denitrifier community composition was assessed during incubation of microcosms for 12 weeks using terminal restriction fragment length polymorphism (T-RFLP) profiling of 16S rRNA and nitrous oxide reductase (nosZ) genes. In addition, microbial and denitrifier abundance, potential denitrification activity and production of greenhouse gases were measured. No detectable changes were observed in prokaryote or denitrifier abundance. In general, cumulatively after 12 weeks more carbon was respired at the higher temperature (3.7 mg CO2 g 1 soil), irrespective of the water content, whereas nitrous oxide production was greater under wet conditions (98–336 mg N2O g 1 soil). After an initial lag phase, methane emissions (963 mg CH4 g 1 soil) were observed only under warm and wet conditions. T-RFLP analyses of bacterial 16S rRNA and nosZ genes revealed small or undetectable community changes in response to temperature and water content, suggesting that bacterial and denitrifying microbial communities are stable and do not respond significantly to seasonal changes in soil conditions. In contrast, archaeal microbial community structure was more dynamic and was strongly influenced by temperature.
University of Birmingham TiO2 coated Si nanowire electrodes for electrochemical double layer capacitors in room temperature ionic liquid

Three TiO 2 deposition processes are used to coat the surface of Si nanowire array electrodes for electrochemical double layer capacitors in room temperature ionic liquid [Bmim][NTF 2 ]. The fabrication processes are based on wet chemistry only and temperature treatments are kept below 450 ° C. Successful TiO 2 coatings are found to be those that are carried out at low pressure and with low TiO 2 coverage to avoid nanowires breakage. The best TiO 2 coated Si nanowire array electrode in [Bmim][NTF 2 ] showed energy densities of 0.9 Wh · kg − 1 and power densities of 2.2 kW · kg − 1 with a nanowire length of ~10 µ m.
A CompariscA of American and Vietnamese Value

ABSTRACT The similarities and differences in value systems_ between Americans and Vietnamese are investigated in this study. A national sample of 1,427 Americans was given Rockeach's (1969) value survey. The scale was then translated into Vietnamese and given to a randomly selected group of 349 Vietnamese living in South Vietnam shortly before the fall of Saigon. Three comparisons of value systems were made: (1) overall differences between Americans and Vietnamese; (2) differences between males and females in the two countries; and (3) differences between individuals with comparable amounts of education in the two countries. Among the results reported are: (1) Vietnamese are more concerned about their security and less concerned about their individual freedom than are Americans; (2) the value systems of males in the two countries tend to be more similar than the value systems of women; (3) college educated Vietnamese respondents are more like their American counterparts than are less edacated Vietnamese; and (4) in many respects, the values of college educated Vietnamese are more similar to Americans' values than to those of other Vietnamese. Two conclusions are made: What primarily differentiates the respondents in the two countries is not their goals in life, but the means by which these are reached. (2) These value differences seem to be due to the Confucian influence in Vietnam and may be less modifiable by experiential factors than terminal values. (Author/AM)
Analysis of fruit and vegetable surface color

Changes of color on the surfaces of tomatoes, mushrooms and apples were measured with digital image processing techniques. Texture analysis methods were applied to identify the stage of ripeness and defects, such as mechanical injuries and microbiological infection. Distributions of red, green, blue color components and intensity values were shown by histograms. Differences in intensities - in the directions of 0°, 45°, 90°, and 135° - were also collected. First - order statistical parameters and coordinates of polar quality points for sum and difference histograms were calculated and evaluated. Classification powers of different color signals were compared.
in Media RESEARCH-IN-BRIEF

: The aim of this paper is to analyze the impact of the diffusion of the Internet on audience fragmentation in Germany. Fragmentation is defined in terms of a declining probability that an individual will find like-minded others who are concerned about the same issues as that individual. Accordingly, fragmentation increases if the number of issues the individual is concerned about (nominal issue diversity) declines and the entropy of issues at the level of society (issue entropy) increases. The paper provides a brief review of publi-cations concerned with media, fragmentation, and issue entropy. It then picks up a recent study, which revealed no relevant changes in nominal issue diversity in Germany during the period of Internet diffusion. In a second step, survey data representative for the German population during the same time period is analyzed to test for an increase in issue entropy. The findings reveal a small but systematic trend of growing issue entropy. This trend could not be attributed to the diffusion of the Internet. First, it was not possible to do so because age groups that had different rates of Internet adoption demonstrated a lack of differences in issue entropy. Second, there are differences between the dynamics of issue entropy and the dynamics pertaining to the diffusion of the Internet as entropy decreased after 2000, whereas the diffusion of the Internet continued to increase rapidly. It is therefore concluded that the diffusion of the Internet did not cause issue fragmentation during the sample period from 1994 to 2005.
Development of Multimedia Based Learning Modules for Information and Communication Technology Guidance at MAN 1 Bungo

— This research is motivated by the limited learning time for the guidance of ICT (Information and Communication Technology) classically to 45 minutes each week. The objectives of this study are: 1) Producing multimedia-based learning modules for ICT Guidance at MAN 1 Bungo. 2) Knowing the validity, practicality and effectiveness of learning modules for ICT guidance in MAN 1 Bungo. The type of development method used is Research and Development (R&D). The development model used is the Instructional Development Institute (IDI). The principle of the system approach applied by IDI consists of three stages, namely determination, development, and evaluation. The research subjects were students of class XI MAN 1 Bungo in the 2019/2020 academic year. The instruments used were validation questionnaires to measure validity, response questionnaires to measure practicality, and posttest questions in the form of multiple choice to measure effectiveness. The results of this study indicate that multimedia-based learning modules for ICT guidance are declared valid and practical for use by teachers and students. From the posttest results it can be concluded that the average value of the experimental group was higher than the control group meaning that the multimedia-based learning module for ICT guidance was "effective" to used.
Improving VET student teachers’ lesson planning competence: The analogy between lesson planning and scriptwriting for anchored instruction films

Learning how to plan a lesson is an important element of student teachers’ professional development. There is a vast range of theories, models and guidelines to support this learning process. However, their theoretical bases, empirical evidence and practical benefits vary considerably. Moreover, lesson planning is frequently neglected by teacher education research. The evidence-based approach presented in this paper focuses on the improvement of the lesson planning competence of vocational education and training (VET) student teachers from a business and economics didactical perspective. The innovative idea of this concept is an analogy between lesson planning and scriptwriting for anchored instruction films. The accompanying research project hypothesises that students should plan more subject didactically based and sophisticated. Moreover, it can be assumed that they also focus the learning processes of individuals and their interactions.
Smart metering in the Netherlands: what, how, and why

This paper describes the functionality and realisation of the smart metering infrastructure in the Netherlands, and discusses the changes that have been made in plans in response to privacy and security concerns. We also discuss the rationale for introducing smart meters – which is less clear than one would expect or indeed hope – and ongoing developments in the use of smart metering information in local energy community pilots.
ON THE TAXONOMY OF THE SUBFAMILIES PALLAVICINIOIDEAE AND PODOMITRIOIDEAE OF THE FAMILY PALLAVICINIACEAE (MARCHANTIOPHYTA) К ТАКСОНОМИИ ПОДСЕМЕЙСТВ PALLAVICINIOIDEAE И PODOMITRIOIDEAE СЕМЕЙСТВА PALLAVICINIACEAE (MARCHANTIOPHYTA)

Integrative study of species of the genus Podomitrium confirmed the monophyly of the genus and its close phylogenetic affinity to the genus Pallavicinia. As a result, the subfamily Podomitrioideae is proposed to be a synonym of subfamily Pallavicinioideae. A high level of molecular divergence between the specimens of Podomitrium malaccense suggests its complicated infraspecific structure. Pallavicinia xiphoides is raised to the rank of a separate genus, while the section Subciliatae is raised to the subgenus rank.
Plasma cfDNA predictors of established bacteraemic infection

Introduction. Increased plasma cell-free DNA (cfDNA) has been reported for various diseases in which cell death and tissue/organ damage contribute to pathogenesis, including sepsis. Gap Statement. While several studies report a rise in plasma cfDNA in bacteraemia and sepsis, the main source of cfDNA has not been identified. Aim. In this study, we wanted to determine which of nuclear, mitochondrial or bacterial cfDNA is the major contributor to raised plasma cfDNA in hospital subjects with bloodstream infections and could therefore serve as a predictor of bacteraemic disease severity. Methodology. The total plasma concentration of double-stranded cfDNA was determined using a fluorometric assay. The presence of bacterial DNA was identified by PCR and DNA sequencing. The copy numbers of human genes, nuclear β globin and mitochondrial MTATP8, were determined by droplet digital PCR. The presence, size and concentration of apoptotic DNA from human cells were established using lab-on-a-chip technology. Results. We observed a significant difference in total plasma cfDNA from a median of 75 ng ml−1 in hospitalised subjects without bacteraemia to a median of 370 ng ml−1 (P=0.0003) in bacteraemic subjects. The copy numbers of nuclear DNA in bacteraemic also differed between a median of 1.6 copies µl−1 and 7.3 copies µl−1 (P=0.0004), respectively. In contrast, increased mitochondrial cfDNA was not specific for bacteraemic subjects, as shown by median values of 58 copies µl−1 in bacteraemic subjects, 55 copies µl−1 in other hospitalised subjects and 5.4 copies µl−1 in healthy controls. Apoptotic nucleosomal cfDNA was detected only in a subpopulation of bacteraemic subjects with documented comorbidities, consistent with elevated plasma C-reactive protein (CRP) levels in these subjects. No bacterial cfDNA was reliably detected by PCR in plasma of bacteraemic subjects over the course of infection with several bacterial pathogens. Conclusions. Our data revealed distinctive plasma cfDNA signatures in different groups of hospital subjects. The total cfDNA was significantly increased in hospital subjects with laboratory-confirmed bloodstream infections comprising nuclear and apoptotic, but not mitochondrial or bacterial cfDNAs. The apoptotic cfDNA, potentially derived from blood cells, predicted established bacteraemia. These findings deserve further investigation in different hospital settings, where cfDNA measurement could provide simple and quantifiable parameters for monitoring a disease progression.
Predicting potential distributions of large carnivores in Kenya: An occupancy study to guide conservation

Species‐specific conservation strategies are frequently formulated based on species distribution maps, which are challenging to produce, especially at large spatial scales. Our aim was to use a novel empirical approach to predict the national distribution for all six large carnivore species found in Kenya to guide conservation and management decisions by identifying knowledge and conservation gaps.
Bee: End to End Distributed Tracing System for Source Code Security Analysis

As distributed services become more and more complex, their security is becoming an increasingly important issue. End-to-end tracing has emerged recently as a valuable tool to improve the dependability of distributed systems, by performing dynamic verification and diagnosing correctness and performance problems. However, several shortcomings of the end-to-end tracing system`s security analysis are uncovered during the development. First of all, the density of probes is not enough, and also the descriptions of different operations are not consistent, which does not allow effective access to intermediate information of end-to-end services and brings about data analysis problems. Second, the implantation of probes is complex and many operations are highly coupled with the monitored program. The third point is that the sampling algorithm in the existing end-to-end distributed tracing system is too simple to effectively improve the performance of the high-density probe tracing system used for security analysis. In this paper, we address the above problem and successfully build Bee. To demonstrate the Bee's helpfulness for those problems in Security analysis, we test its performance and prove some privacy leaks vulnerabilities and access control vulnerabilities of OpenStack with Bee. The experimental results show that with the high-density probes. Bee can capture the detailed request process and quickly locate abnormal operations.
Impact of Biofilms on Water Distribution System of a Tertiary Institution in Northern Nigeria

The aim of this research was to determine the impact of biofilms on water distribution system of FederalUniversity Birnin Kebbi. Samples were collected from different water distribution pipelines in the University.Total heterotrophic count was carried out to determine the microbial load and Most Probable Method (MPN)was used to detect the presence of fecal coliforms in the water. Total heterotrophic bacterial count rangedbetween 1.6×103 to 3.9×103 cfu/ml. Escherichia Coli showed the highest frequency (25%) of occurrence, whilethe least frequency of occurrence (5%) was recorded for Klebsiella spp and Enterobacter spp respectively. Theisolates identified were Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Klebsiella spp,Enterobacteria Spp, Salmonella Spp and Bacillus Spp. Presence of these isolates is of significant concern andmay cause some water borne diseases like diarrhea, dysentery etc. It is therefore recommended that water boardtreatment plant should use disinfectant chemicals like chlorine and perform regular proactive preventivemaintenance, microbial monitoring and infrastructure replacement and repair so as to reduce the occurrence ofbiofilms in the Water Distribution system.
Online monitoring of oil wear debris image based on CNN

Image monitoring of oil wear particles is currently only applicable to microflows and is susceptible to bubble interference. This paper develops an optical oil-monitoring system that can be used for large-diameter pipes with high flow rates. A shallow and wide observation cell with an equivalent diameter of Φ5 mm is designed to allow a theoretical maximum monitoring flow rate of about 8 L/min, which is a significant improvement over current image monitoring of generally less than Φ2 mm pipes. A low-magnification (0.8X – 5X) stereoscopic microscope head is used to improve the field of view and depth of field, and a high-speed camera is used to increase the flow range that can be monitored. A set of experimental platforms is also constructed to produce bubbles and wear particles separately. Images of the wear particles and bubbles are then collected for subsequent training and verification of image classification algorithms. A motion object extraction algorithm based on background differences and the Otsu method is used to extract debris and bubble images, and a convolutional neural network (CNN) algorithm is used to distinguish between bubbles and debris. Compared with the traditional morphological feature extraction method, histogram of oriented gradient (HOG) feature extraction method, k-nearest neighbor (KNN) classification algorithm, and support vector machine (SVM) classification algorithm, the CNN algorithm eliminates the tedious process of feature extraction and selection, and has better classification results. The experimental results show that the system can effectively collect wear particle and bubble images and classify them, and the classification accuracy can reach 91.8%.
A Formalism and a Parser for Lexicalised Dependency Grammars

This paper describes a formalism and a parser for dependency g_rammars . The grammars writ­ ten in this formalism are composed of elementary structures , called elementary trees , that are associated to lexemes. Elementary trees can combine together through an operation called at­ tachment . The parser builds a structural description of a sentence by combining the elementary trees associated to its words. An exponential parser is described , based on a stack . The ineffi­ ciency of this parser is studied , and another one, using a graph-structured stack , is proposed . Section 2 describes briefly the grammatical formalism: section 2 . 1 focuses on the structure of el­ ementary trees , section 2 . 2 deals with word order: how to represent it in a dependency tree and how to constrain it in elementary trees, and section 2 . 3 introduces the attachment operation. Section 3 is devoted to parsing . The parser is introduced and its performances are discussed in 3 . 1 . The graph-structured stack and its integration in the parser are described in 3 . 2 .
Classification of Domestic Dogs Emotional Behavior Using Computer Vision

Dogs are the most common companion animals worldwide, motivated by their exceptional social behavior with humans. Unlike many animals, dog learn vocal commands, identify moods, maintain eye contact, and recognize facial expressions. Besides, dogs have great agility and senses of smell and hearing superior to humans, so dogs have been trained for crucial tasks like search, rescue, and assistance. Therefore, it is relevant to do scientiﬁc research to understand the fundamentals of behavior and communication that increase the use of its capabilities for the beneﬁt of the human being, guaranteeing the animal’s welfare. In this work, a computational method for analyzing dog behavior based on artiﬁcial vision techniques was developed. A video database recorded in positive and negative stimuli that induced different emotional states was used. The proposed method determines the dog’s emotional state at a given time, which opens a promising ﬁeld to develop new technologies that trainers and users can take advantage of, to improve the processes of selection, training, and execution of the tasks of working dogs. Using the proposed method, the best test accuracy value we obtained was 0.6917 on the best model trained using transfer learning over the architecture MobileNet, getting good but not perfect results. The training process was carried out using 1067 images distributed among four categories, aggressiveness, anxiety, fear and neutral. The proposed method obtained acceptable results but can still be improved in technical and methodology terms. However, this method can be used as a baseline for exploring and expanding the canine behavior study using computational models.
Cough Detection System using TinyML

In this research paper, a system for the detection of cough is made with Edge Impulse Studio and Arduino 33 BLE Sense. It is able to distinguish between actual cough and a general undesired signal in the background. Edge Impulse Studio has been utilized in this article for training a large dataset of the various samples for cough as well as undesired noise. A highly efficient & machine learning based TinyML model is designed for determining the resonance of Cough on instantaneous basis. The proposed system has been found to achieve almost 97% accuracy of recognition.