Miracle-dz/UniFAR-FTUs huggingface dataset:
Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images

Lung diseases are a tremendous challenge to the health and life of people globally, accounting for 5 out of 30 most common causes of death. Early diagnosis is crucial to help in faster recovery and improve long-term survival rates. Deep learning techniques offer a great promise for automated, fast, and reliable detection of lung diseases from medical images. Specifically, convolutional neural networks have accomplished encouraging results in disease detection. In spite of that, the performance of such supervised models depends heavily on the availability of large labeled data, the collection of which is an expensive and tedious task, specially for a novel disease. Therefore, in this article, we propose a deep unsupervised framework to classify lung diseases from chest CT and X-ray images. Our framework introduces multiple-layer generative adversarial networks called Lung-GANs that learn interpretable representations of lung disease images using only unlabeled data. We use the lung features learned by the model to train a support vector machine and a stacking classifier. We demonstrate through experiments that the proposed method outperforms the current state-of-the-art unsupervised models in lung disease classification. Our model obtained an accuracy of 94%–99.5% on all the six large-scale publicly available lung disease datasets used in this study. Hence, the proposed framework will simplify lung disease detection by reducing the time for diagnosis and increasing the convenience of diagnostics.
A 12μs-Conversion, 20mK-Resolution Temperature Sensor Based on SAR ADC

This brief presents a temperature sensor suitable for heavily duty-cycled wireless sensor node. To achieve both a fine resolution and a fast conversion time, the proposed temperature sensor embeds a RC network in a 16-bit residue-integrated successive approximation register (SAR) analog-to-digital conversion (ADC). A poly resistor is connected in series with the capacitor digital-to-analog converter (DAC) to develop a temperature-dependent ADC input. The proposed temperature sensor, implemented in 180nm CMOS, achieves a resolution of 20mK in a range of −30-to-100°C. It shows a resolution figure-of-merit of 3pJ.K<sup>2</sup> while supporting a burst operation in a conversion time of <inline-formula> <tex-math notation="LaTeX">$12\mu \text{s}$ </tex-math></inline-formula> after wake-up.
THE NEEDS ANALYSIS OF FOUR PRIMARY LANGUAGE SKILLS IN DEVELOPING JAPANESE TEACHING MATERIALS FOR TOURISM PURPOSES

: The aim of this study was to analyse the needs of four primary language skills in developing Japanese teaching materials for tourism purposes. Research data was collected by applying questionnaire and interview method. In Tourism and Marketing Management Study Program. The needs analysis result of Japanese teaching materials for tourism showed the average level of percentage ranging from 4 to 5 by applying Likert scale measurement. Based on the questionnaire conducted to 40 participants, speaking skills showed the highest response rate, both from students and lecturer’ s perception. Listening S kills from student’s perception yielded approximately 86% or an average of 4.3, while from lecturer ’s perception yielded 90% or an average of 4.5. Meanwhile, speaking skill s from student’s percepti on reach 95% response rate or an average of 4.7, and from lecturer’s perception yielded 100% response rate or an average of 5.0. For the need of reading skills, s tudent’s perception showed 86% response rate or an average of 4.3, and 80% or an average of 4.0 for lecturer ’s perception . Further, the need of writing skills yielded 88% or an average 4.4 response rate from the students’ perception , and 80% or an average of 4.0 response rate of the lecturer’s perce ption.
Perceptions of Older Men Using a Mobile Health App to Monitor Lower Urinary Tract Symptoms and Tamsulosin Side Effects: Mixed Methods Study

Background Mobile health (mHealth) apps may provide an efficient way for patients with lower urinary tract symptoms (LUTS) to log and communicate symptoms and medication side effects with their clinicians. Objective The aim of this study was to explore the perceptions of older men with LUTS after using an mHealth app to track their symptoms and tamsulosin side effects. Methods Structured phone interviews were conducted after a 2-week study piloting the daily use of a mobile app to track the severity of patient-selected LUTS and tamsulosin side effects. Quantitative and qualitative data were considered. Results All 19 (100%) pilot study participants completed the poststudy interviews. Most of the men (n=13, 68%) reported that the daily questionnaires were the right length, with 32% (n=6) reporting that the questionnaires were too short. Men with more severe symptoms were less likely to report changes in perception of health or changes in self-management; 47% (n=9) of the men reported improved awareness of symptoms and 5% (n=1) adjusted fluid intake based on the questionnaire. All of the men were willing to share app data with their clinicians. Thematic analysis of qualitative data yielded eight themes: (1) orientation (setting up app, format, symptom selection, and side-effect selection), (2) triggers (routine or habit and symptom timing), (3) daily questionnaire (reporting symptoms, reporting side effects, and tailoring), (4) technology literacy, (5) perceptions (awareness, causation or relevance, data quality, convenience, usefulness, and other apps), (6) self-management, (7) clinician engagement (communication and efficiency), and (8) improvement (reference materials, flexibility, language, management recommendations, and optimize clinician engagement). Conclusions We assessed the perceptions of men using an mHealth app to monitor and improve management of LUTS and medication side effects. LUTS management may be further optimized by tailoring the mobile app experience to meet patients’ individual needs, such as tracking a greater number of symptoms and integrating the app with clinicians’ visits. mHealth apps are likely a scalable modality to monitor symptoms and improve care of older men with LUTS. Further study is required to determine the best ways to tailor the mobile app and to communicate data to clinicians or incorporate data into the electronical medical record meaningfully.
Frontline Workers’ Challenges in Hearing Children’s Voices in Family Support Services

ABSTRACT Research into children’s voices continues to receive significant attention due to the limited progress made around the world in meeting Article 12 of the Convention on the Rights of the Child: the right to be heard and participate in decision making. However, there is a paucity of research providing insights into children’s voices in family support services linked with the child protection system. This paper contributes new understandings into the everyday practice experiences of 46 frontline urban and regional practitioners working in family support services for UnitingCare, a nongovernment organisation in Queensland, Australia. Critical and interpretive research utilising WorldCafé focus groups reveals hearing children’s voices is not occurring as an everyday practice. It identified four intersecting influences that prevent rights-based children’s participation: program, conceptual, organisational, and direct practice issues. A sustained paradigm shift to protection with participation is needed to ensure children’s voices are included as an everyday practice in family support services. IMPLICATIONS Culture, program, organisation, and practice level challenges intersect to impede frontline family support services practitioners from hearing children’s voices as an everyday practice. A paradigm shift to “protection with participation”, a culture that values children and their voices, alongside steadfast leadership are needed to embed a rights-based, child-inclusive approach in family support services as part of the care continuum.
Potential of polylactic-co-glycolic acid (PLGA) for delivery Jembrana disease DNA vaccine Model (pEGFP-C1-tat)

Background The development of a vaccine for Jembrana disease is needed to prevent losses in Indonesia's Bali cattle industry. A DNA vaccine model (pEGFP-C1-tat) that requires a functional delivery system will be developed. Polylactic-co-glycolic acid (PLGA) may have potential as a delivery system for the vaccine model. Objectives This study aims to evaluate the in vitro potential of PLGA as a delivery system for pEGFP-C1-tat. Methods Consensus and codon optimization for the tat gene was completed using a bioinformatic method, and the product was inserted into a pEGFP-C1 vector. Cloning of the pEGFP-C1-tat was successfully performed, and polymerase chain reaction (PCR) and restriction analysis confirmed DNA isolation. PLGA-pEGFP-C1-tat solutions were prepared for encapsulated formulation testing, physicochemical characterization, stability testing with DNase I, and cytotoxicity testing. The PLGA-pEGFP-C1-tat solutions were transfected in HeLa cells, and gene expression was observed by fluorescent microscopy and real-time PCR. Results The successful acquisition of transformant bacteria was confirmed by PCR. The PLGA:DNA:polyvinyl alcohol ratio formulation with optimal encapsulation was 4%:0.5%:2%, physicochemical characterization of PLGA revealed a polydispersity index value of 0.246, a particle size of 925 nm, and a zeta potential value of −2.31 mV. PLGA succeeded in protecting pEGFP-C1-tat from enzymatic degradation, and the percentage viability from the cytotoxicity test of PLGA-pEGFP-C1-tat was 98.03%. The PLGA-pEGFP-C1-tat demonstrated luminescence of the EGFP-tat fusion protein and mRNA transcription was detected. Conclusions PLGA has good potential as a delivery system for pEGFP-C1-tat.
Meta-Analysis the Effect of Combination Oral Contraceptive on the Risk of Venous Thromboembolism and Stroke in Family Planning Acceptors

Background: The global percentage of con­traceptive users in women of reproductive age range (15-49 years) or women who are married is 62.7%. Combined oral contraceptives repre­sent 8.8% of the prevalence (more than 100 million women). COCs are very effective in preventing pregnancy, but like most medi­ca­tions, combined oral contraceptives can be asso­ciated with a variety of side effects and risks, including venous thromboembolism (VTE) and stroke. This study aims to determine the estimated effect of combined oral contra­ceptives on venous thromboembolism and stroke on family planning acceptors by meta-analysis. Subjects and Method: Meta-analyzes were performed by searching for articles from the Google Scholar, PubMed, Research Gate, Sco­pus, Springer Link, and Science direct data­bases. The keywords used in the search for the article included “oral contraceptive” OR “com­bined oral contraceptives” OR “risk factor” AND “venous thrombolism” OR “VTE” AND “stroke” AND “family planning”. The inclusion criteria in this study were full text articles, from 2000-2020, with a case-control study design. The article analysis was carried out using RevMan 5.3. Results: There are 15 articles analyzed. The results showed that combined oral contra­ceptives increased the incidence of venous thromboembolism and stroke in family plan­ning acceptors (aOR 2.95; 95% CI = 1.80-4.84; p <0.001); (aOR 1.50; 95% CI = 1.30-1.74; p <0.001). The results of the meta-analysis showed a publication bias between the use of combined oral contraceptives and the incidence of stroke among family planning acceptors. Conclusion: Combined oral contraceptives affect venous thromboembolism and stroke in family planning acceptors. Keywords: COCs, venous thromboembolism, stroke, family planning acceptors Correspondence: Putri Yunita Sari, Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: puyunita16@gmail.com. Mobile: 08818­794685. Journal of Maternal and Child Health (2021), 06(02): 131-145 https://doi.org/10.26911/thejmch.2021. 06.02. 01
Controlled Quantum Network Coding Without Loss of Information

Quantum network coding is used to solve the congestion problem in quantum communication, which will promote the transmission efficiency of quantum information and the total throughput of quantum network. We propose a novel controlled quantumnetwork coding without information loss. The effective transmission of quantum states on the butterfly network requires the consent form a third-party controller Charlie. Firstly, two pairs of threeparticle non-maximum entangled states are pre-shared between senders and controller. By adding auxiliary particles and local operations, the senders can predict whether a certain quantum state can be successfully transmitted within the butterfly network based on the Z{ |0〉 , |1〉} basis. Secondly, when transmission fails upon prediction, the quantum state will not be lost, and it will still be held by the sender. Subsequently, the controller Charlie re-prepares another three-particle non-maximum entangled state to start a new round. When the predicted transmission is successful, the quantum state can be transmitted successfully within the butterfly network. If the receiver wants to receive the effective quantum state, the quantummeasurements from Charlie are needed. Thirdly, when the transmission fails, Charlie does not need to integrate the X { |+〉 , |−〉} basis to measure its own particles, by which quantum resources are saved. Charlie not only controls the effective transmission of quantum states, but also the usage of classical and quantum channels. Finally, the implementation of the quantum circuits, as well as a flow chart and safety analysis of our scheme, is proposed.
A Fully Decentralized Triplestore Managed via the Ethereum Blockchain

The growing web of data warrants better data management strategies. Data silos are single points of failure and they face availability problems which lead to broken links. Furthermore the dynamic nature of some datasets increases the need for a versioning scheme. In this work, we propose a novel architecture for a linked open data infrastructure, built on open decentralized technologies. IPFS is used for storage and retrieval of data, and the public Ethereum blockchain is used for naming, versioning and storing metadata of datasets. We furthermore exploit two mechanisms for maintaining a collection of relevant, high-quality datasets in a distributed manner in which participants are incentivized. The platform is shown to have a low barrier to entry and censorship-resistance. It benefits from the fault-tolerance of its underlying technologies. Furthermore, we validate the approach by implementing our solution.
New Methods and Novel Framework for HypersurfaceCurvature Determination and Analysis

New methods for hypersurface (that is, 3-dimensional manifold) curvature determination in volumetric data areintroduced. One method is convolution-based. Another method is spline-based. Method accuracy is also analyzed,with that analysis involving comparison of the methods with each other as well as against two existing convolution-based methods. The accuracy analysis utilizes a novel framework that enables curvature determination methodaccuracy analysis via dynamically generated synthetic test datasets formed from continuous trivariate functions.Such functions enable accuracy analysis versus ground truth. The framework is also described here.
DIDACTIC PROBLEMS OF THE DIGITALIZATION OF EDUCATION

The article presents the problem of the development of educational didactics as important for modern society. It is pointed out that elements of modern didactics are presented in numerous works on the theory of education. Attention is paid to the current state of the main components of didactics: the content and methods of teaching. The introduction contains a description of the state of didactics in Russia in the 17th century. The historical steps leading to the transformation of the educational system are outlined. The cultural and historical character of their improvement is emphasized. Based on an analytical review of modern scientific sources, it is shown that the transition to digital forms of education is accompanied by an increase in the activity of pedagogical research on learning processes in Russia. New special concepts used in the description of the distance education process are listed. A description of a number of information technologies that form the foundation of digital learning and upbringing processes is given. The need in the theory of education to update the modern paradigm of education, taking into account the digitalization of didactic models, is noted. Reflection of modern digital education resources presented in scientific literature is carried out. Expansion of didactic opportunities in the context of digitalization of education is noted. The conclusion is made about the need to systematize the already solved problems of distance learning. New problems generated by digitalization are outlined.
In Silico Screening of Phytochemicals of Styrax Benzoin Against the Inflammatory Mediators

Introduction: Inflammatory mediators are up-regulated during SARS-CoV-2 infection and also during injury and surgery. The wound is categorized as break down or opening of the skin, which could lead to malfunctioning of skin. Many physiological processes, protein targets, and cellular signalling pathways are involved in wound healing. Many inflammatory mediators are produced during injury and inhibition of the negative inflammatory mediators like 1RAK4 and NLRP3 inflammasome plays a key role in the wound healing process. Therefore, it could essential to find therapeutics for inhibiting the signalling pathways responsible for the release of negative inflammatory mediators. However, the conventional approaches to drug development are time-consuming and expensive. Objective: In the present study, we have adopted a computational approach to identify lead molecules from Styrax Benzoinagainst the inflammatory mediators. Method: We have screened ligands from Styrax Benzoin library for their ability to bind and inhibit the two potential inflammatory targets such as IRAK4 (Interleukin-1 Receptor Associated Kinase-4) with Protein Data Bank (6F3I) and innate immune signalling receptor NLRP3 (NOD-, LRR-, and pyrin domain-containing-3) inflammasome with Protein Data Bank (6NPY). Results: We found that p-coumarin cinnamate 6 and coniferyl benzoate 12 could bind at the substrate-binding pocket of inflammatory targets with high binding affinity. Bioavailability properties and Pharmacophore features were also studied. Conclusion: The results suggest that the Phytoconstituents of Styrax Benzoin have the potential to be developed as novel inhibitors of inflammatory mediators. These inflammatory mediators are upregulated during SARS-CoV-2 infections. However, their clinical usage on wound healing is a subject of further investigations and clinical trials.
Kansas Soil Health Partnership

This study was part of a farmer-led initiative that fosters transformation in agriculture through improved soil health, benefitting farmer profitability, supporting a stable food supply, and preserving the environment. This study’s objective was to measure the effect of soil management strategies on the soil microbial community distribution and activity. Four farmers in Kansas were accepted into the program to conduct on-farm comparisons of a standard farm practice and an improved practice. This was ongoing research, and for this field research report, we are presenting the study at one of the selected farms. This site was located near Bucyrus, Miami County (38°44’30” N, 94°42’30” W, elevation: 1109 ft), with a Grundy silt loam. The improved practice was the incorporation of cover crops into a long-term no-till cornsoybean rotation. The experimental design was four replicated strips of the farmer standard practice and the improved practice. Soil samples were taken on a GPS coordinated grid at 0 to 2 inches soil depth before implementing the cover crops (baseline), and at the third year of the study. Soil biological health indicators included soil organic matter, soil microbial biomass, total fungi, total bacteria, and βglucosidase (βG) activity. Soil organic matter and βG activity were compared between initial and thirdyear. Interpolated maps evaluated the spatial distribution of the soil microbial community. Two years of cover crops increased enzyme activity. Soil microbial biomass and soil organic matter were significantly (P < 0.001) correlated. Our results suggest that soil organic matter was a key driver of the spatial distribution of the soil microbial community.
The Influence of Socioindexical Information on the Speech Perception-Production Link: Evidence from a Shadowing Task

OF THESIS THE INFLUENCE OF SOCIOINDEXICAL INFORMATION ON THE SPEECH PERCEPTION-PRODUCTION LINK: EVIDENCE FROM A SHADOWING TASK The body of work on speech perception demonstrates the ability of listeners to utilize both visual and acoustic information in their processing of a given speech signal. More recent studies have established that listeners are sensitive to cues in both these modalities which inform their perception of a speaker’s identity in parallel with the linguistic message, but the relationship between social information in perception and production together is unclear. This study reports the results of an experiment designed to test the hypothesis that expectations about a speakers identity is able to influence a listener’s perception and production of speech in tandem. The shadowing task addresses the degree to which listeners faithfully reproduce L2 accented English when presented with four ethnically distinct faces in congruent and incongruent auditory-visual pairs in a within-subject design. Analyses of the degree of acoustic similarity to model talkers in speakers’ imitations revealed a slight average trend toward convergence on vowel spectra, vowel duration, and average fundamental frequency. Significant predictors of the degree of change in a speaker’s production were shown to be the vowel quality measured and the voice presented, but these predictors were agnostic with respect to whether these changes represented phonetic convergence or divergence. The variance in degree of similarity suggests that speakers’ convergence is subject to linguistic selectivity, but it is less clear the role social selectivity plays when presented with unfamiliar varieties. Overall these findings are consistent with exemplar models which consider the inherent coupling of individuals’ speech perception and production, but that the visual stimuli had no significant e ect on these analyses may be reflective of listeners’ adaptive processes during perception of L2-accented speech
A Partially Static High Frequency 18T Hybrid Topological Flip-Flop Design for Low Power Application

In this brief, an extremely low power true $1-\phi $ clocking flip-flop is proposed using eighteen transistors only. The flip-flop is a synchronous bistable element that stores single-bit information. To design this Master Slave (MS) type architecture, topological, logical, and adaptive coupling techniques are employed. The minimum number of transistors are maintained by using above techniques, which comprises of complementary pass transistor logic and static complementary MOS logic. It also offers low power, a low delay that speeds up the flip-flops, and low complexity by reducing the transistor count. The proposed circuit is implemented using Cadence Virtuoso and compared with the five other reported logic structures of flip-flops. The proposed hybrid logic architecture has showed the highest percentage, i.e., 49.73% improvement in terms of power as compared to LRFF. It also improved the delay and energy efficiency (EDP). The Monte Carlo simulation has been performed for C to Q Delay for 20K samples. By reducing the number of PMOS transistors, the total area of the proposed flip-flop reduces by a minimum of 9.49% in comparison to state of the art work. The proposed circuit can work properly within a frequency range upto 1 GHz. It is also compared with reported 18T TSPC flip-flop.