Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of respiratory tract viruses in febrile neutropenic etiology in children and comparison with healthy children with upper/lower respiratory tract infection

OBJECTIVE: This study aims to compare the frequency of respiratory viruses using real-time and multiplex polymerase chain reaction technology and nasopharyngeal swabs taken during exacerbation of patients aged 0–18 years followed for febrile neutropenia (FN) with non-FN children. METHODS: This prospective study included a total of 40 patients with FN and malignancies followed at Eskisehir Osmangazi University, Department of Pediatric Hematology and Oncology. The control group (n=76) consisted of age-matched patients with upper respiratory tract infections (URTIs) or lower respiratory tract infections (LRTIs) who were admitted to the emergency service due to fever. RESULTS: Viral agents were detected in 16 of 53 FN attacks (30.1%). The most commonly isolated viruses were coronavirus (23.7%, n=9), influenza B (18.4%, n=7), and adenovirus (18.4%, n=7). Of 76 children diagnosed with URTI with fever (52.6%) had viral agents, and only 28 of them had a single agent. The most commonly isolated virus was adenovirus (28.6%, n=14). Viral factors were found in 32 of 42 patients (76.1%) patients diagnosed with LRTI, while respiratory syncytial virus was the most common virus in 27 patients (21.7%, n=5). CONCLUSION: Our study results show that viral agents play an important role in the etiology of FN. This is the first study to show that viral agents play an important role in the etiology of this disease and viral factors in non-neutropenic febrile children at the same time period by detecting respiratory viruses in 30% of FN cases. More similar studies provide antiviral therapy in selected patients, as well as these studies lead to reduce the use of antimicrobial agents or allow more selective use of antibiotics and/or the earlier discontinuation of these antibiotics in febrile neutropenic children who have been shown to have viral cause of respiratory tract infection based on clinical and microbiological/molecular diagnostic criteria.
A Price-Incentive Resource Auction Mechanism Balancing the Interests Between Users and Cloud Service Provider

For a cloud service provider, it necessitates an emerging cloud ecosystem to consolidate the existing users and attract more potential users, further gaining its market share. Therefore, in this article, we design a price-incentive resource auction mechanism in cloud environment. In response to the cloud resource price, each user synthesizes her bidding budget and QoS requirement, and purchases cloud resources according to her resource demand in a strategic manner. The cloud service provider, meanwhile, can regulate the resource demands of users through conducting a market-based pricing strategy, against too low prices to cover the operational costs (i.e., energy costs) or too high prices resulting in user churn. In virtue of an elaborate market-based pricing strategy, the interests of users and the cloud service provider are balanced. Our price-incentive resource auction mechanism targets to stimulate maximum users willing to purchase resources and perform their applications at the cloud, on the premise of a minimum profit rate guaranteed for the cloud service provider. It is also able to provide budge balance and truthfulness guarantee, and satisfy the envy-freeness. In order to carry out the above objectives, we carefully design the user utility function reflecting the complicated user interest, and formulate our resource pricing and auction problem as a bin packing problem, which has non-polynomial computational complexity. Regarding the NP-hardness of optimization problem and the concavity of user utility, we present a computational-efficient ( $1+\epsilon $ )-approximate algorithm namely PIRA. Finally, we conduct simulations based on the real-world dataset to validate the effectiveness of our proposed approach.
The low frequency vibrations in clathrate hydrates

The mechanism for the unexpectedly strong interactions between the guest and lattice vibrations in clathrate hydrates is revealed from molecular dynamics and lattice dynamics calculations on model systems. It is shown that the vibrational couplings are the result of avoided crossings of the enclathrated guest localized rattling modes with the host lattice acoustic phonon branches of the same symmetry. Through these couplings, energy can be exchanged between the host lattice and the guest vibrations and lead to the anomalous glasslike behavior in the thermal conductivity of gas hydrates.
Methodology for the determination of polyphenol bioaccessibility

Article history: Received: February 24, 2020 Accepted: July 17, 2020 Polyphenols are secondary metabolites of plants, commonly present in the human diet. Since they exhibit a wide range of bioactivities, polyphenols are extensively studied in the fields of nutrition and human health. Current studies have shown a high interest in determining the bioaccessibility of polyphenols, the amount of polyphenols that becomes available for absorption in the digestive tract. Bioaccessibility can be determined with the help of in vitro static gastrointestinal (GI) digestion models. In such a methodology, food samples containing polyphenols are subjected to a series of conditions that mimic the human gastrointestinal tract, with associated parameters. A high number of GI models with slightly different parameters were published. The purpose of this paper is to review the literature, focusing on the determination of polyphenol bioaccessibility and the parameters used in these GI digestion models, such as time, temperature, and pH of digestion, as well as enzyme concentrations. Gastrointestinal digestion models consist of oral, gastric and small intestine phases. These models provide a simple and reliable methodology which enables insight into the amount of bioaccessible polyphenols.
The Determinants of Physical Activity, Self-Monitoring of Blood Glucose, and Poor Glycemic Control Among Individuals Diagnosed With Type 2 Diabetes in Saudi Arabia: A Cross-Sectional Study Based on the Saudi Health Interview Survey (SHIS)

THE DETERMINANTS OF PHYSICAL ACTIVITY, SELF-MONITORING OF BLOOD GLUCOSE, AND POOR GLYCEMIC CONTROL AMONG INDIVIDUALS DIAGNOSED WITH TYPE 2 DIABETES IN SAUDI ARABIA: A CROSS-SECTIONAL STUDY BASED ON THE SAUDI HEALTH INTERVIEW SURVEY (SHIS) Mohammed Abdulrahman S. Alsuliman Old Dominion University, 2020 Director: Dr. Qi Zhang The prevalence of diabetes and poor glycemic control in Saudi Arabia has increased that contributed to the growing number of deaths in Saudi Arabia. It is known that type 2 diabetes (T2DM) can be prevented but there is a lack information about the magnitude of the of diabetes at national level as well as the risk factors for physical activity (PA), self-monitoring of blood glucose (SMBG), and poor glycemic. Thus, through utilizing Health promotion model (HPM), the aims are to examine the personal factors, cognitive-perceptual, and behavioral determinants of three outcomes; physical activity, SMBG, and poor glycemic control. A secondary data (Saudi health interview survey-2013) was used with two sample sizes for examining PA and SMBG (808 participants who reported to have T2DM and were 18 year or older) and poor glycemic control (391 participants who reported to have T2DM and had data about their blood glucose level) outcomes. Bivariate and multivariate logistic regression were conducted to address the research questions at alpha level of 0.05. The results showed that the prevalence of physical activity, SMBG, and poor glycemic control, were 9.1%, 55.4%, and 34%, respectively. Younger age (Adjusted odds ratio [AOR] = 2.84), and higher education (AOR = 3.14) were associated with PA, while health professional support for treatment (HPST) was inversely associated with PA (AOR = 0.35). Factors associated with SMBG were obesity (Adjusted prevalence ratio [APR] = 1.20), middle (APR = 1.30) and higher (APR =1.49) education, while shorter diabetes duration (AOR = 0.78 for < 5 years and 0.78 for 5-9 years) and Eastern region (AOR = 0.66) were inversely associated with SMBG. For poor glycemic control, the only predictor was Eastern region (AOR = 1.55) compared to the Central region. Further analysis showed that region of residence, education, diabetes duration, and age were prominent predictors of all cognitive-perceptual and behavioral outcomes. The study suggested individualizing plan of care for diabetic patients due to disparity in the personal factors. The study supported the urgent change in the healthcare system to adapt healthcare professional team-based care. Finally, longitudinal studies at both national and regional levels are needed to determine the causal relationship focusing on both personal and psychological factors.
The microbiology and storage stability of vacuum packed lamb

Summary Lamb joints (shoulders, loins and legs) stored in vacuum packs at 0–1°C remained unspoiled for 6 weeks, but since the aerobic storage life at 5°C (retail shelf life) of lamb after holding in vacuum packs at 0–1°C for 6 weeks was only 2 days, vacuum storage should be limited to a maximum of 4 weeks in practice. Brochothrix thermosphacta, Moraxella spp, and Moraxella-like organisms were predominant on aerobically spoiled lamb and the preservative effect of vacuum packing resulted from the inhibitory effects of the high carbon dioxide (>20%) and low oxygen concentrations (<1%) which developed in the packs. Brochothrix thermosphacta was not completely inhibited, however, and with lactic acid bacteria was the possible cause of cheesy/sour odours which terminated vacuum packed storage life.
Combustion diagnostic using degenerate four wave mixing spectroscopy

The DFWM, used as a laser spectroscopy for gas phase trace detection,is receiving a great deal of attention in combustion diagnostics. In this technique three laser beams, tuned at the same wavelength, interfere in a gaseous medium containing a resonant species. Two laser beams, interacting with the (chi) 3 of the medium, generate a grating which is read by the third laser and scatters the signal beam at the same wavelength. The NO molecule and OH radical have been detected in small undoped flames by performing space resolved concentration and temperature measurements in forward BOXCARS geometry. The NO space distribution has been investigated in a C2H2/air flame by exciting the (gamma) transition around 226 nm. Flame temperature and NO concentration have been calculated after calibration on room temperature cell data. The OH DFWM spectrum of the A2(Sigma) +-X2(Pi) vibrationally excited transition peaked around 284 nm has ben recorded in C2H2/air and isobuthane/air flames, corresponding flame temperatures have been determined. The possibility of NO2 detection in flame outlets has been investigated by studying the effects of collisional energy redistribution on its Douglas-Huber band DFWM spectrum measured in air mixtures at different pressures and temperatures.
Zinc oxide‐based biosensors

Characteristics of two different types of zinc oxide (ZnO)-based biosensors using glucose oxidase are studied keeping medical applications in mind. One is a ZnO nanorod electrochemical electrode and the other is a ZnO-based field-effect transistor. Their fabrication process as well as the advantage for the application to integrated healthcare chips is also discussed in detail. The results obtained were in the preliminary stage yet; however, they might be encouraging for the enrolment of ZnO to the new application field of semiconductors. (© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Sjögren's syndrome and its impact in the oral cavity

Sjögren's syndrome is an autoimmune disease that affects salivary gland tissue. Patients can show different degrees of phenotype that can vary from mild to severe systemic symptoms. So far, the etiopathogenesis of this condition is still not fully unraveled but it is believed that genetic and environmental factors are involved. The purpose is to understand the role of genetics on the appearance of the Sjögren's syndrome and describe the clinical signs that might alert for the presence of a patient with this condition. The most impacting oral manifestation is xerostomia. The role of the dental doctor in the diagnosis, treatment and oral rehabilitation of these patients, is crucial to ensure a good quality of life.
Influences of continuance intention and past behavior on active users’ knowledge sharing continuance and frequency: Naver Knowledge-iN case

Maintaining active users who repeatedly share high-quality knowledge is critical for the success of online Q&A sites. This study suggests two paths that lead to active users' continuous knowledge sharing: 1) elaborated decision process, represented by continuance intention, and 2) automated cognitive process, represented by past behavior. The direct and moderating effects of continuance intention and past behavior were verified by analyzing subjective intention data and objective behavior data of 333 active users of Naver Knowledge-iN. Using Cox proportional hazards regression and negative binomial regression, the influences of continuance intention and past behavior on two types of continuous knowledge sharing were examined. The results showed that only past behavior was significantly influential on knowledge sharing continuance and as to the frequency of knowledge sharing, both continuance intention and past behavior's influences were significant. It was also confirmed that past behavior negatively moderates continuance intention's effect on the frequency of knowledge sharing. In order to maintain active users' continuous knowledge sharing, it is important to habituate knowledge sharing through repetitive knowledge sharing behavior. And in order to increase the frequency of knowledge sharing, in addition to the habituation, appropriate benefits that can increase the continuance intention should be provided.
A Comparison of Skin Thickness Data from Ultrasonography with Literature Data Obtained via Histology and Magnetic Resonance Imaging: Posterior Neck, Lumbar Back, Lateral Epicondyle, and Posterior Knee

Introduction: Over many years now, our team has been convinced that the injection depths indicated by authors in published studies on intradermal injection therapy or in the esthetic field are incorrect. This paper sought to compare skin thickness data derived from Ultrasonography with literature data obtained via histological examination and magnetic resonance imaging. Patients and Methods: Skin layer thickness measurements were performed on healthy subjects using ultrasound imaging technology. In each case, the ultrasound transducer was placed on the posterior neck, lumbar back, lateral epicondyle, and posterior knee. These data were compared with skin layer thickness measurements obtained via histological examination and magnetic resonance imaging. Results: Overall, 80 healthy subjects were classified according to gender and age: 10 females and 10 males pertaining to each of the following age groups: 35-45, 46-55, 56-65, and >66 years. The comparative histological data concerned 140 skin residues, with a descriptive histological analysis of each cutaneous area; the comparative MRI data concerned 36 healthy subjects and 31, with only calf and scapula data considered, respectively. Our study results reveal that the skin thickness measurements slightly vary by some microns (or micrometers), depending on the technology used. However, irrespective of the technology applied, there is a key observation that can be drawn based on our study data: The skin is very thin. Indeed, the skin is thinner than initially anticipated by several eminent authors, teachers, or educators. Accordingly, the skin appears particularly delicate and fragile in the case when intradermal injections are made. Conclusion: Based on this study’s findings, it seems warranted that the injection techniques and definitions herein be thoroughly reviewed, with several suggestions proposed in this paper.
Information Seeking Behavior of postgraduate students in the University of Peshawar, Pakistan

Purpose: This study investigated the information-seeking behaviour (ISB) of the research students in terms of information needs, sources, resources, barriers to information seeking, significances of the libraries towards the quality of research and factors motivating the use of libraries at the University of Peshawar. Design/Methodology/approach: This study used a quantitative approach, adopting a survey questionnaire method for data collection. The population of this study was composed of the Master, M.Phil. and PhD research students in the faculties of Arts and Humanities, Social Sciences and Management Information Sciences at the University of Peshawar. The sample size was 300 research students selected conveniently. The study response rate was 85% and data were analyzed through SPSS (20 version). Key findings: The findings revealed that research students sought information to satisfy their information needs related to the identification and selection of the research problem, access to the current information, writing of the research proposal, article and theses. To fulfil their information needs, these researches indicated the use of different sources and resources. Regarding the sources, most of the research students preferred the research-related workshops and taking help from other researchers to fulfil their information needs. Furthermore, research students used the internet and online research databases to satisfy information needs. They also utilized research and information services provided by their libraries to retrieve the needed information. While seeking the needed information, research students have reported different barriers designating poor internet connectivity, ICT facilities and unavailability of study rooms in libraries as the major barriers. Reliable information sources and e-databases were the significant motivating factors for using/visiting library. Limitations of the study: This study has two major limitations; 1) as the sample was conveniently recruited, thus there is a possibility of sample bias and; 2) likewise this study was undertaken at the University of Peshawar, thus generalization of findings is limited to the study context. Practical implication(s): the findings might motivate librarians towards the restructuring of information literacy programs to enhance the current ISB of the research students. It may inform the authorities about the barriers faced by the research students in information seeking and thus stimulate them towards the up-gradation of Internet and ICT facilities in the university.
A Novel Voltage Control MPPT Algorithm using Variable Step Size based on P&O Method

본 논문은 태양광 발전시스템에서 일사량이 급변했을 때 최 대 전력점(MPP: Maximum Power Point)을 빠르게 추종할 수 있는 P&O(Perturb and Observe)기반 가변 스텝 알고리즘을 제안하였다. 제안한 기법은 일사량 또는 온도에 의해 환경 변 화 시 최대 전력점에서의 전압 변화 특성을 이용하며, 가변 스 텝 방식이 적용된 전압제어를 통해 MPP를 추종한다. 임계값 설정으로 일사량 급변을 판단하며, MPP를 빠르게 추종하기 위 한 고속 모드로 동작한다. MPP에 도달하면 가변 모드로 전환 하여 정상상태 오차를 최소화 한다. PV 시뮬레이터와 태양광 전력변환시스템을 통해 제안한 MPPT 알고리즘의 성능을 검증 하였다. 1. 서론 태양광(PV: Photovoltaic) 발전은 무한한 태양광에너지를 전기에너지 변환하는 방식으로 발전 과정에서 배출되는 오염물 질이 없어 신재생 에너지로 각광받고 있다. 하지만 태양전지 고유 특성에 따라 일사량과 온도에 따라 전압과 전류가 일정한 패턴으로 변화한다. 따라서 이런 특성을 고려하여 태양전지에 서 생산되는 전기에너지를 최대한 활용하기 위해 최대 전력점 추종(MPPT: Maximum Power Point Tracking)기법이 필요하 며 이에 대한 다양한 연구가 진행되어 오고 있다. 이러한 기법 은 P&O (Perturb and Observe), INC (Incremental Conductan ce, CV (Constant Voltage), LA (Linear Approximation) 등이 있으며, 태양전지의 출력 전압(V), 전류(I) 및 전력(P)의 변화 패턴을 통해 최대 전력점을 추종한다. 본 논문에서는 일사량이 급변할 때에도 고효율과 빠른 응답 성을 확보할 수 있는 P&O 기반의 가변 스텝 사이즈 MPPT 알고리즘을 제안하고 시뮬레이션을 통해 타당성을 검증하였다. 2. 태양광 시스템 구성 및 특성 2.1 태양광 시스템 구성 태양광 발전시스템 구성은 태양광 패널, 부스트컨버터, PV 인버터로 구성되어 있다. 부스트컨버터는 전압의 동작 범위를 넓혀주기 위한 기능을 수행하며, 그림 1은 태양광 발전시스템 제어기 구성도이다. MPPT PWM Vpv_ref
Load Balancing Problem on Hyper Hexa Cell Interconnection Network

Dynamic load balancing techniques prevents computer nodes from overloading unevenly while leaving other idle. It is considered as one of the most challenging topics in parallel computing. Moreover, it is essential for increasing the efficiency of highly parallel systems especially in solving multitask problems with unpredictable load estimates. Particularly, over each processor in the parallel systems and interconnection networks. This paper focuses on developing an efficient algorithm for load balancing on Hyper Hexa Cell (HHC) interconnection network, namely, HHCLB algorithm. Basically, the Dimension Exchange Method (DEM) approach is used in this paper to construct a new load balancing approach on the network of HHC interconnections. Thus, an algorithm was introduced and simulated using java threads, where the performance of the algorithm is evaluated both analytically and experimentally. The evaluation was in terms of various performance metrics, including, execution time, load balancing accuracy, communication cost. By implementing the proposed load balancing algorithm to the HHC network, a high degree of accuracy and minimal execution time was achieved. It is important to highlight that the algorithm recorded small gap between the execution time for small number of processors and large number of processors. For instance, the algorithm achieved 0.14 seconds for balancing the load of 6 processors while 0.59 seconds for balancing the load of 3072 processors. This proves how effective the algorithm is in balancing the load for different network sizes from small to large number of processors, with a slight difference in execution time.
Electrical Conductivity of the High-Temperature Proton Conductor BaZr0.9Y0.1O2.95

The impedance of the cubic perovskite BaZr0.9Y0. 1O3-δ has been systematically investigated in dry and wet atmospheres at high and low oxygen partial pressures. In the grain interior, conductivity contributions from oxygen ions, electron holes, and protons can be identified. Below 300°C, proton conduction dominates and increases linearly with the frozen-in proton concentration. The proton mobility, with an activation energy of 0.44 ± 0.01 eV is among the highest ever reported for a perovskite-type oxide proton conductor. For dry oxygen atmos-pheres, electron hole conduction dominates with an activation energy of ∼0.9 eV. At temperatures <500°C, the grain-boundary conductivity can be separated and increases upon incorporation of protons. The high electrical conductivity and chemical stability make acceptor-doped barium zirconate a good choice for application as a high-temperature proton conductor.
Bringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application

Computational thinking courses are no longer exclusive to engineering and computer science students in higher education but have become a requirement in other fields, as well as for students in secondary, primary, and even early childhood education Computational notebooks, such as Jupyter, are popular solutions to develop the programming skills typically introduced in these courses However, these solutions often require technical infrastructure and lack support for rich educational experiences that integrate discussion, active feedback, and learning analytics In this paper, we introduce a web application designed to address these challenges We present blended learning scenarios supported by this application and evaluate them in an eight-week computational thinking course comprising 67 students pursuing a Bachelor in Business and Economics We include in our results the impact of the disruption caused by the COVID-19 pandemic, which forced a move from blended to online distance learning for the second half of our evaluation © 2020 for this paper by its authors Use permitted under Creative Commons License Attribution 4 0 International (CC BY 4 0)