Miracle-dz/UniFAR-FTUs huggingface dataset:
p-n Transition-Enhanced Sensing Properties of rGO-SnO2 Heterojunction to NO2 at Room Temperature

RGO-SnO<sub>2</sub> heterojunction has been extensively studied as an efficient sensitive material, while its sensing mechanism in surface chemical system is still needed to be concerned. The aim of this work is to evaluate the effects of rGO and materials processing on surface sites of nanocrystalline tin dioxide and room-temperature sensitivity to NO<sub>2</sub>. Gas-sensitive heterojunction of tin dioxide with 2-dimensional rGO has been synthesized by a one-step hydrothermal method. Contrastive researches about composition, microstructure and surface species of hydrothermal-obtained pristine SnO<sub>2</sub>, rGO-SnO<sub>2</sub> hybrids were performed. Further reduction of rGO in hydrothermal composite with a post-treatment at over 100 °C has been found to affect the hydrophilicity and electrical conduction of rGO-SnO<sub>2</sub> composite. Sensitivity of rGO-SnO<sub>2</sub> to 2–8 ppm NO<sub>2</sub> with fast response was demonstrated at room temperature, while the abrupt change of conductivity type of hydrothermal-obtained rGO-SnO<sub>2</sub> heterojunction from <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math></inline-formula>-type to <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula>-type was observed after post-anneal treatment. The conductive type conversion was discussed to be closely related to the higher reduction degree of rGO and enhanced hydrophobic surface of rGO-SnO<sub>2</sub> heterojunction.
Patients’ Concerns With The Journey Through Flexor Tendon Rehabilitation – A Prospective Patient-Centred Satisfaction Survey

Flexor tendon rehabilitation is an involved and protracted process during which everyday activities are difficult. The aim of this study was to conduct a patient-centred satisfaction assessment, tailored to hand therapy patients undergoing flexor rehabilitation, to gain an understanding of their experience, and to identify potential areas for improving the quality of their care. A prospective questionnaire survey, incorporating elements of generic patient-centred and upper limb outcome measures, was completed, over a six month period, by consenting hand therapy patients during their rehabilitation at three, seven and 12 weeks post-flexor-tendon surgery. Forty-three subjects fitted the inclusion criteria for the study. Thirty-two subjects (74%) gave informed written consent and were recruited to this study. Two thirds (12 out of 18) of males and all females had difficulties with everyday activities at seven weeks. More females (7 out of 8 [88%]) than males (11 out of 18 [61%]) responded that life was not in their control. Five out of eight females and six out of 14 males reported feeling concerned about their hand at 12 weeks. Interestingly, approximately 40% of respondents wanted more information throughout rehabilitation, with half of females requesting more at seven and 12 weeks. This study suggests that there should be a strong therapist-led emphasis on providing verbal and written information throughout flexor rehabilitation to increase knowledge and reduce associated anxiety. The importance of this in improving patients’ experience of the process cannot be overestimated.
Intimate partner violence and the role of community nurses

Intimate partner violence is a common problem that is known to have serious and long-term impacts on health across a lifetime. While community nurses are ideally placed to deal with intimate partner violence, some may be unsure of what to do. They may fear getting get things wrong or making the situation worse. Additionally, intimate partner violence is often difficult to identify because it tends to be a hidden issue. This article aims to increase community nurses’ confidence in dealing with intimate partner violence. It describes the different forms of intimate partner violence and the associated risks and consequences. The community nurse’s role in recognising and responding to intimate partner violence is discussed and we provide practical guidance on how to deal with the issue confidently to preserve patient safety.
Cryptocurrency Price Prediction based on Multiple Market Sentiment

With the rapid development of the Internet, cryptocurrencies have been gaining increasing amounts of attention dramatically. As a digital currency, it is not only used worldwide for online payments, but also traded as an investment tool on the market. Therefore, the ability to predict the price volatility will facilitate future investment and payment decisions. However, there are many uncertainties in the price movement of cryptocurrencies, and the prediction is extremely difficult. To this end, based on the transaction data of three different markets and the number and content of user comments and responses from online forums, this paper constructs a price prediction model of cryptocurrencies using a variety of machine learning and deep learning algorithms. It turns out that the trading price premium rate in different markets will affect the price to be predicted, and adding social media comment features can significantly improve the accuracy of the forecast. This article is conducive to investors who encrypt currencies to make more scientific decisions.
A Linear Framework for Orbit Correction in the High-Luminosity Large Hadron Collider

In a circular accelerator the closed orbit can be viewed as the mean position of particles in a beam. The closed orbit is perturbed by machine errors and can be manipulated by dedicated corrector magnets. This thesis introduces a linear algebra framework for closed orbit perturbation and correction, its implementation as a Python package and its use for three studies in HL--LHC: orbit corrector budget, orbit feedback expected performance analysis and specifications for new beam position monitors. The orbit corrector budget is formulated as a convex optimization problem and solved for the current iteration of HL--LHC. Results based on a simplified model for the orbit feedback are presented, showcasing its inefficacy in maintaining collision on its own and the inherent stability in LHC. Necessary short-term beam position monitor stability for adequate position-based correction of beam separation is estimated to be under one micrometer. Finally, optimizing over linear correction strategies is offered as an interesting venue for further research. (Less)
Structural Characterization of Disordered States of Proteins

Structural Characterization of Disordered States of Proteins Joseph Arthur Marsh Doctor of Philosophy Department of Biochemistry University of Toronto 2010 Disordered states of proteins include the biologically functional intrinsically disordered proteins and the unfolded states of folded proteins which are important for protein folding and stability. Just as solving the structures of folded proteins has been extremely valuable in understanding their functions and properties, obtaining a comprehensive understanding of the structural characteristics of disordered states at a molecular level is crucial. The focus of this thesis is on combining experimental data with computational methods in order to probe the structural characteristics of disordered states at a molecular level. I developed a new method that combines different chemical shifts into a single residue-specific secondary structure propensity (SSP) score which I used to compare fractional secondary structure in and synuclein. Significant differences between the two suggested that -synuclein might be protected from fibrillation due to increased helical propensity. I also introduced a new method for calculating residual dipolar couplings (RDCs) from disordered state ensembles by calculating local alignment tensors for short protein fragments. Using this method, I was able to predict experimental RDCs from statistical coil models containing far fewer structures than when global alignment is used, demonstrating that RDCs in disordered proteins are primarily determined by local structure. Finally,
Radicalization in leadership from over-positioning to trans-positioning

This article explores how the term radicalization might be applied to leaders in a professional and business environment, and is based on three concepts: radicalization, over-positioning, and trans-positioning. Hermans refers to the phenomenon of radicalization as ‘over-positioning’ in terms of dialogical self theory (DST): one I-position dominating the entire system of self. From a theoretical perspective of DST ‘trans-positioning’ is introduced by Van Loon as metaphorically transposing one aspect of a position repertoire to another. The argument is elaborated that trans-positioning can be used in the service of deradicalization for the purpose of opening the system and improving wellbeing.
Output Impedance Modeling and High-Frequency Impedance Shaping Method for Distributed Bidirectional DC–DC Converters in DC Microgrids

Output impedance characteristics of interfaced converters of energy sources are the important indicators to assess the anti-interference ability of the dc microgrids. However, the output impedance is often approximately modeled by neglecting the impacts of delay units. In order to accurately study the anti-interference ability, the output impedance of an energy storage system is modeled with the consideration of the coupling characteristics of the current control gains and the delays caused by digital control and switching. The constraint mechanism of the coupling factors to impact the effective bandwidth of current loop in a load current feedforward system is also revealed. Then, an impedance shaping method is proposed to improve the anti-interference ability by optimally shaping the high-frequency output impedance, and also to improve system performances in terms of increasing the bandwidth of inner loop and the stable margin of outer loop. The simulation and experimental results both clearly validate the correctness and feasibility of the proposed impedance shaping method.
Results of Eastern Cooperative Oncology Group Protocol E4402 (RESORT): A Randomized Phase III Study Comparing Two Different Rituximab Dosing Strategies for Low Tumor Burden Follicular Lymphoma

Abstract LBA-6 Background: Optimal management for low tumor burden (LTB) follicular lymphoma (FL) in the rituximab (R) era is uncertain. Historical data with watch and wait (W & W) approaches are associated with an average of 3 years to initiation of chemotherapy. We hypothesized that rituximab could delay the need for chemotherapy and that maintenance rituximab (MR) would provide disease control superior to rituximab retreatment (RR) at progression. E4402 is a randomized phase III study comparing MR and RR for patients (pt) with previously untreated, LTB (by GELF criteria) FL. Methods: Pt received R 375 mg/m2 weekly × 4 and responders were randomized to MR (single dose R q 3 mo) or RR (R weekly × 4 at disease progression). Each strategy was continued until treatment failure. The primary endpoint, time to treatment failure (TTTF), was defined as progression within 6 mo of last R, no response to R retreatment, initiation of alternative therapy, or inability to complete protocol therapy. Pt were evaluated every 3 mo, with restaging CT scans every 6 mo. The study had 81% power to detect a TTTF hazard ratio of 0.64 favoring MR. Secondary endpoints included time to first cytotoxic therapy (TTCT), quality of life (QOL) and safety. The ECOG Data Monitoring Committee recommended release of study results at a planned interim analysis in September 2011. Results: From 11/03 to 9/08, 384 with FL were enrolled. Complete or partial response was achieved in 274 pt (71%), who were then randomized to MR (n=140) or RR (n=134). Demographic features were similar in the two arms: median age 59 yr; PS 0–1 in all pt; and FLIPI low-risk (14.9 vs. 16.4%), intermediate-risk (46.3 vs. 42.9%) and high-risk (38.8 vs. 40.7%) for MR vs. RR, respectively. The mean number of R doses/pt (including the 4 induction doses) was 15.8 (range 5– 31) for MR and 4.5 (range 4–16) for RR. With a median follow-up of 3.8 yrs, TTTF was and 3.9 yr for MR vs. 3.6 yr for RR (p=NS, Fig 1). A detailed analysis of treatment failure, by type, will be presented. At 3 yrs, 95% of MR vs. 86% of RR pt (p=.027, Fig 2) remained free of cytotoxic therapy. Grade 3–4 hematologic and non-hematologic toxicities occurred in Conclusions: In previously untreated, low tumor burden, follicular lymphoma, no difference in TTTF for MR vs. RR was observed. Notably, the time to initiation of cytotoxic therapy was delayed in both arms compared to historical W & W strategies with similarly defined LTB FL populations. MR was slightly superior to RR for TTCT but at a cost of 3x more R. MR did not improve QOL or anxiety. In summary, RR produces outcomes comparable to MR in this patient population. Disclosures: Kahl:Genentech: Consultancy; Roche: Consultancy. Williams:Genentech: Consultancy. Gascoyne:Roche: Consultancy; Genentech: Consultancy. Horning:Genentech: Employment, Equity Ownership.
Multiparametric optical characterization of airborne dust with single particle extinction and scattering

Abstract We describe a robust, portable, deployable instrument for multiparametric optical characterization of single airborne particles. It is based on the Single Particle Extinction and Scattering method with additional sensors at 45° and 90° angles. Four independent optical parameters are associated to each particle. Basically, it provides a rigorous measurement of the extinction cross section and the complex amplitude of the forward scattered field. Moreover, thanks to the multiparametric single particle approach, it is possible to roughly classify the particles within a size range from a few hundreds of nanometers to some micrometers. By assigning a reasonable single scattering albedo for each population, our data are enough to fit the phase function with acceptable uncertainties. We report here the results of tests performed with water droplets, generating well controlled data without any free parameters. Data analysis is described in detail. We also report measurements performed on urban aerosol collected in the city of Milan by recovering the optical properties and feeding radiative transfer models. The findings reported here support the importance of an accurate measurement of the phase function, as already established by the Community. Copyright © 2020 American Association for Aerosol Research
Tuberous Sclerosis Complex.

Tuberous sclerosis complex (TSC) is an autosomal dominant inherited disease characterized by systemic hamartomas, neuropsychiatric symptoms known as TAND (TSC-associated neuropsychiatric disorders), and vitiligo. These symptoms are attributed to the constant activation of mechanistic target of rapamycin complex 1 (mTORC1) caused by genetic mutations in the causative genes TSC1 or TSC2. The elucidation of the pathogenesis of this disease and advances in diagnostic technologies have led to dramatic changes in the diagnosis and treatment of TSC. Diagnostic criteria have been created at a global level, and mTORC1 inhibitors have emerged as therapeutic agents for this disease. Previously, the treatment strategy was limited to symptomatic treatments such as surgery. Inhibitors of mTORC1 are effective against all symptoms of TSC, but they also have systemic side effects. Therefore, the need for a cross-disciplinary, collaborative medical care system has increased, resulting in the establishment of a practice structure known as the "TSC Board. " Furthermore, to reduce the side effects of systemic administration of mTORC1 inhibitors, a topical formulation of mTORC1 inhibitor was developed in Japan for the treatment of skin lesions caused by TSC. This report summarizes the pathogenesis and current status of TSC and the contribution of the Neurocutaneous Syndrome Policy Research Group to the policies of the Ministry of Health, Labor, and Welfare with respect to this rare, intractable disease.
What is auto brewery syndrome

2nd World Congress on Rare Diseases | November 23-24, 2020 | Istanbul, Turkey Auto brewery syndrome is also known as gut fermentation syndrome and endogenous ethanol fermentation. It’s sometimes called “drunkenness disease. ” This rare condition makes you intoxicated — drunk — without drinking alcohol. This happens when your body turns sugary and starchy foods (carbohydrates) into alcohol. Auto brewery syndrome can be difficult to diagnose. It may also be mistaken for other conditions. Only a few cases of auto brewery syndrome have been reported in the last several decades. However, this medical condition has been mentioned in the news several times. Most of these stories involve people who were arrested for drinking and driving. For example, one woman was found to have the condition after she was arrested for drunk driving in New York. Her blood alcohol level was four times the legal limit. She wasn’t charged because medical tests showed that auto brewery syndrome raised her blood alcohol levels. It’s the type of story that the media loves, but it’s not likely to repeat itself very often. Nevertheless, this is a very real condition. It’s important to be diagnosed if you feel you may have it.
Contributions of social support, knowledge, attitude, and self-efficacy on breastfeeding practice in Indonesia

This is a correlational study investigating the influence of social support, knowledge, attitude, and self-efficacy on breastfeeding practice among Indonesian working and nonworking mothers who participated in a mother support group (MSG) program. This current study is also examining a hypothesized model of relationship between social support, knowledge, attitude, self-efficacy in influencing breastfeeding practice. All of these variables were measured using questionnaires. All of the scales were translated into Indonesian language and the internal consistency reliability scores (Cronbach’s alpha) were found to be above 0.7 for all scales. A total of 221 mothers with babies between 0-6 months who joined the MSG program participated in this study. Hierarchical multiple regression test was used to assess the influence of social support, knowledge, attitude, and selfefficacy on breastfeeding. In order to test the hypothesized model of relationship between social support, knowledge, attitude, self-efficacy, and breastfeeding practice, structural equation modeling (SEM) was used for the nonworking mothers and path analysis was used for the working mothers. The results showed that only knowledge has significant influence on breastfeeding practice among the non working mothers (beta= .21, p= .01). However among the working mothers, knowledge (beta= .23, p= .03), attitude (beta= .33, p= .01), and self-efficacy (beta= .45, p= .01) have significant influences on breastfeeding. Social support has no significant influence on breastfeeding in both types of mother. The results highlighted varying predictors of breastfeeding practice among working as compared to non working mothers. Nevertheless, MSG was seen as a suitable program to educate mothers in term of breastfeeding as the programme covers all the significant predictors found in this study.
Chronic Illness: Impact and Intervention

The new edition of best-selling Chronic Illness: Impact and Intervention continues to focus on the various aspects of chronic illness that influence both patients and their families. Topics include the sociological, psychological, ethical, organizational, and financial factors, as well as individual and system outcomes. The Seventh Edition has been completely revised and updated and includes new chapters on Models of Care, Culture, Psychosocial Adjustment, Self-Care, Health Promotion, and Symptom Management. Key Features Include: * Chapter Introductions * Chapter Study Questions * Case Studies * Evidence-Based Practice Boxes * List of websites appropriate to each chapter * Individual and System Outcomes
Fostering Program Comprehension in Novice Programmers - Learning Activities and Learning Trajectories

This working group asserts that Program Comprehension (ProgComp) plays a critical part in the process of writing programs. For example, this paper is written from a basic draft that was edited and revised until it clearly presented our idea. Similarly, a program is written incrementally, with each step tested, debugged and extended until the program achieves its goal. Novice programmers should develop program comprehension skills as they learn to code so that they are able both to read and reason about code created by others, and to reflect on their code when writing, debugging or extending it. To foster such competencies our group identified two main goals: (g1) to collect and define learning activities that explicitly address key components of program comprehension and (g2) to define tentative theoretical learning trajectories that will guide teachers as they select and sequence those learning activities in their CS0/CS1/CS2 or K-12 courses. The WG has completed the first goal and laid down a strong foundation towards the second goal as presented in this report. After a thorough literature review, a detailed description of the Block Model is provided, as this model has been used with a dual purpose, to classify and present an extensive list of ProgComp tasks, and to describe a possible learning trajectory for a complex task, covering different cells of the Block Model matrix. The latter is intended to help instructors to decompose complex tasks and identify which aspects of ProgComp are being fostered.
Plateforme de protection de binaires configurable et dynamiquement adaptative

Les attaques par corruption de memoire sont une menace serieuse pour l'integrite des systemes informatiques. De nombreuses techniques ont ete developpees dans le but de se premunir de ces attaques. Cependant, le deploiement de protections efficaces impose souvent une degradation des performances du programme. Cet article propose une approche dynamique permettant d'adapter le niveau de protection du programme cible pendant son execution en fonction du comportement observe.
Existence of solutions for a system of Chandrasekhar’s equations in Banach algebras underweak topology

This paper is devoted to the study of a coupled system within fractional integral equations in suitable Banach algebra. In particular, we are concerned with a quadratic integral equations of Chandrasekhar type. The existence of solutions will be proved by applying fixed point theorem of a 2 x 2 block operator matrix defined on a nonempty, closed and convex subset of Banach algebra where the entries are weakly sequentially continuous operators.
THE IMPACT OF ORGANIZATIONAL CULTURE WITH DECENTRALIZED AUTHORITY THROUGH MANAGERIAL FUNCTIONS ON HR PRODUCTIVITY

The study explains types of organizational culture with the scaling of authority decentralization which impact on HR productivity. Objective of the study is to measure HR Productivity with the parameter of management practices. To examine HR Productivity through changes organizational culture by changing managerial functions as moderate in present scenario. The authority decentralized is the scope for moderation of managerial functions as develop with organizational culture. By these changes which implement to calculate HR Productivity. As such to conduct survey with 250 responses from employees in various IT sector companies at Hyderabad. These methods develop with existed research evidences collect for frame hypotheses are meeting with analyses of mediation and moderation methods. The results are high significant in mediation and significant in moderation are shown one unit change in organizational culture with decentralization of authority are positive effect in HR Productivity. Such that proved the impact of organizational culture, decentralization of authority and managerial functions on HR Productivity. The feature market or customer oriented organizational culture may impact on HR Productivity. The results based develop occur in organization as increase HR productivity such helps to hike in overall performance in positive way.