Miracle-dz/UniFAR-FTUs huggingface dataset:
Telerehabilitation for Patients With Knee Osteoarthritis

Background: Telerehabilitation programs are designed with the aim of improving the quality of services as well as overcoming existing limitations in terms of resource management and accessibility of services. This review will collect recent studies investigating telerehabilitation programs for patients with knee osteoarthritis while focusing on the technologies and services provided in the programs. Objective: The main objective of this review is to identify and discuss the modes of service delivery and technologies in telerehabilitation programs for patients with knee osteoarthritis. The gaps, strengths, and weaknesses of programs will be discussed individually. Methods: Studies published in English since 2000 were retrieved from the EMBASE, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PubMed, Physiotherapy Evidence Database (PEDro), and PsycINFO databases. The search words “telerehabilitation,” “telemedicine,” “teletherapy,” and “ehealth” were combined with “knee” and “rehabilitation” to generate a data set of studies for screening and review. The final group of studies reviewed here includes those that implemented teletreatment for patients for at least 2 weeks of rehabilitation. Results: In total, 1198 studies were screened, and the full text of 154 studies was reviewed. Of these, 38 studies were included, and data were extracted accordingly. Four modes of telerehabilitation service delivery were identified: phone-based, video-based, sensor-based, and expert system–based telerehabilitation. The intervention services provided in the studies included information, training, communication, monitoring, and tracking. Video-based telerehabilitation programs were frequently used. Among the identified services, information and educational material were introduced in only one-quarter of the studies. Conclusions: Video-based telerehabilitation programs can be considered the best alternative solution to conventional treatment.
A POTENTIAL CYCLOTRON RESONANT SCATTERING FEATURE IN THE ULX PULSAR NGC 300 ULX1 SEEN BY NUSTAR AND XMM-NEWTON

Based on phase-resolved broadband spectroscopy using XMM-Newton and NuSTAR , we report on a potential cyclotron resonant scattering feature at E ∼ 13 keV in the pulsed spectrum of the recently discoverd ULX pulsar NGC 300 ULX1. If this interpretation is correct, the implied magnetic ﬁeld of the central neutron star is B ∼ 10 12 G (assuming scattering off electrons), similar to that estimated from the observed spin-up of the star, and also similar to known Galactic X-ray pulsars. We discuss the implications of this result for the connection between NGC 300 ULX1 and the other known ULX pulsars, particularly in light of the recent discovery of a likely proton Cyclotron line in another ULX, M51 ULX-8.
SentiMeter-Br: Facebook and Twitter Analysis Tool to Discover Consumers’ Sentiment

—Brazilian Consumers’ Sentiments are analyzes in a speciﬁc domain using a system, SentiMeter-Br. A Portuguese dictionary focused on a speciﬁc ﬁeld of study was built, in which tenses and negative words are treated in a different way to measure the polarity, the strength of positive or negative sentiment, in short texts extracted from Twitter. For the Portuguese dictionary performance validation, the results are compared with the SentiStrength tool and are evaluated by three Specialists in the ﬁeld of study; each one analyzed 2000 texts captured from Twitter. Comparing the efﬁciency of the SentiMeter-Br and the SentiStrength against the Specialists’ opinion, a Pearson correlation factor of 0.89 and 0.75 was reached, respectively. The polarity of the short texts were also tested through machine learning, with correctly classiﬁed instances of 71.79% by Sequential Minimal Optimization algorithm and F-Measure of 0.87 for positive and 0.91 for negative phrases. Another contribution is a Twitter and Facebook search framework that extracts online tweets and Facebook posts, the latter with geographic location, gender and birthdate of the user who posted the comments, and can be accessed by mobile phones.
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Opaque Financial Reporting due to Unemployment Concerns Opaque Financial Reporting due to Unemployment Concerns

This paper examines the link between rank-and-file employees’ unemployment concerns and financial reporting opacity. Following Agrawal and Matsa (JFE, 2013), we use exogenous variations in state unemployment insurance benefits to capture changes to unemployment concerns. We find that when unemployment concerns are lower, there is less opaque financial reporting. This relation is stronger when workers face higher unemployment risk, labor union participation is high, and executives have higher equity incentives. Using Tobin’s Q to capture firm value, we also find that the economic rationale to engage in opaque financial reporting reduces when unemployment benefits are high. Our findings suggest that labor market policies have a significant, likely unintended, positive externality on corporate reporting.
Regulation of Photolyase in Escherichia coli K-12 during Adenine Deprivation

DNA photolyase, a DNA repair enzyme encoded by the phr gene of Escherichia coli, is normally regulated at 10 to 20 active molecules per cell. In purA mutants deprived of adenine, this amount increased sixfold within 2 h. Operon fusions placing lacZ under transcriptional control of phr promoters indicated no change in transcription rate during adenine deprivation, and gene fusions ofphr with lacZ showed a nearly constant level of translation as well. Immunoblot analysis indicated that the total amount of photolyase protein remained constant during enzyme amplification. On the other hand, treatment of cells with chloramphenicol during the adenine deprivation prevented any increase. DNA regions lying 1.3 to 4.2 kb upstream of the phr coding sequences were necessary for this amplification to occur and for this purpose would function in trans. These results suggest that adenine deprivation leads to a posttranslational change, involving synthesis of protein encoded by sequences lying upstream of phr, which increases photolyase activity. The amplification in activity was found to be reversible, for when adenine was restored, the photolyase activity declined before cell growth resumed.
A Novel (cid:2) -Peptidyl Aminopeptidase (BapA) from Strain 3-2W4 Cleaves Peptide Bonds of Synthetic (cid:2) -Tri- and (cid:2) -Dipeptides

A novel bacterial strain that was capable of growing on the (cid:1) -tripeptide H- (cid:1) hVal- (cid:1) hAla- (cid:1) hLeu-OH as the sole carbon and nitrogen source was isolated from an enrichment culture. On the basis of physiological characterization, partial 16S rRNA sequencing, and fatty acid analysis, strain 3-2W4 was identiﬁed as a member of the family Sphingomonadaceae . Growth on the (cid:1) -tripeptide and the (cid:1) -dipeptide H- (cid:1) hAla- (cid:1) hLeu-OH was observed, and emerging metabolites were characterized. Small amounts of a persisting metabolite, the N-acetylated (cid:1) -dipeptide, were identiﬁed in both media. According to dissolved organic carbon measurements, 74 to 80% of the available carbon was dissimilated. The (cid:1) -peptide-degrading enzyme was puriﬁed from the crude cell extract of cells from strain 3-2W4 grown on complex medium. The enzyme was composed of two subunits, and the N-terminal sequences of both were determined. With this information, it was possible to identify the complete nucleotide sequence and to deduce the primary structure of the gene bapA . The gene encoded a (cid:1) - peptidyl aminopeptidase (BapA) of 402 amino acids that was synthesized as preprotein with a signal sequence of 29 amino acids. The enzyme was cleaved into two subunits (residues 30 to 278 and 279 to 402). It belonged to the N-terminal nucleophile (Ntn) hydrolase superfamily. was stopped after a ﬁnal extension for 5 min at 72°C. All PCRs were performed using Taq polymerase (Sigma, Buchs, Switzerland) with the supplied buffer. The complete bapA gene sequences were isolated with a Universal GenomeWalker kit (BD Biosciences, Basel, Switzerland) (17). Genomic DNA was cut with PvuII, EcoRV, StuI, and NruI. The GenomeWalker adaptors were ligated to the genomic DNA fragments, and these libraries were used as tem- plates in nested PCRs with the following primers: Na_37 (5 (cid:4) -GGTGCCGTTG (cid:4) ), Ni_38 (5 (cid:4) -CTGGTTTTCCCGAGCGGATGAAT (cid:4) ), Ca_39 (5 (cid:4) -GTCGTTTCGGCGGGGGACACGCG-3 (cid:4) ), and Ci_40 (5 (cid:4) -AACCACGGCGACCGCAACGACCTGCGCAT-3 (cid:4) DNA sequencing was carried by Sequiserve (Vaterstetten, Germany) with an ABI Prism 3730 sequencer.
AN ANALYTICAL FRAMEWORK TO ASSESS THE CONTRIBUTION OF NEW TECHNOLOGIES TO SOCIETAL CHALLENGES

This paper addresses the topic of impact assessment of a research project (encompassed on a Joint Activities Program) considering the major priorities established under the societal challenges defined under the Horizon 2020 programme. A methodology is proposed and demonstrated for the particular case of a project aiming the development of an electric vehicle battery charging system with novel operating modes, which was tested at a laboratory scale. Firstly, the methodology is based on literature review in order to gather meaningful information about societal challenges addressed to this technology and, secondly, questionnaires and interviews directed to the research team of this project were conducted. A SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis was derived from the data collected in the questionnaires and interviews to identify and assess the interest of the new technology and its barriers. The results show that, especially, the different operation modes for bidirectional energy transfer are a great advance comparing to other competing technologies. Moreover, the technology can contribute significantly to mitigate climate change by reducing the release of carbon dioxide emissions from the transport sector. However, since the project under analysis was tested only at laboratory, some aspects related to the software and hardware still need to be improved and the effective market uptake i
NDT_A_296462 757..764

1Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, People’s Republic of China; 2Department of Radiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China; 3Department of Psychological Medicine, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China; 4Key Laboratory of Brain Functional Genomics (MOE&STCSM), Shanghai ChangningECNU Mental Health Center, School of Psychology and Cognitive Science, East China Normal University, Shanghai, People’s Republic of China
Data Imbalance Impact on Autism Pre-diagnosis System: An Experimental Study

Machine Learning (ML) is a branch of computer science that is rapidly gaining popularity within the healthcare arena due to its ability to explore large datasets to discover useful patterns that can be interepreted for decision making and prediction. ML techniques are used for the analysis of clinical parameters and their combinations for prognosis, therapy planning and support, and patient management and wellbeing. In this research, we investigate a crucial problem associated with medical applications such as Autism Spectrum Disorder (ASD) data imbalances in which cases are far more than just controls in the dataset. In autism diagnosis data, the number of possible instances is linked with one class, i.e. the No ASD is larger than the ASD, and this may cause performance issues such as models favouring the majority class and undermining the minority class. This research experimentally measures the impact of class imbalance issue on the performance of different classifiers on real autism datasets when various data imbalance approaches are utilized in the pre-processing phase. We employ Oversampling techniques such as Synthetic Minority Oversampling (SMOTE), and Undersampling with different classifiers including Naive Bayes, RIPPER, C4.5, and Random Forest to measure the impact of these on the performance of the models derived in terms of Area Under Curve (AUC) and other metrics. Results pinpoint that Oversampling techniques are superior to Undersampling techniques, at least for the toddlers’ autism dataset that we consider, and suggest that further work should look at incorporating sampling techniques with feature selection to generate models that do not overfit the dataset.
Challenges in Enhancing Solid Waste Management towards Sustainable Environment: Local Council Perspectives

The challenges in enhancing municipal solid waste management towards sustainable environment is crucial and need to be determined from the local council perspective in Malaysia. Sustainable environment is to preserve the current environment state of affairs for the next generation by minimizing waste and establishing solutions to be more productive with such waste. This is a qualitative research focusing on the current management at three different levels: district, town and city. Four critical factors were identified in this study which are data adequacy, policy management, solid waste handling methods and environmental awareness as challenges in enhancing waste management at the local council’s level. In conclusion, enhancing municipal solid waste management is not only an environmental agenda, but it deeply contributes to the overall sustainability of necessary areas in terms of energy and cost efficiency that can lead to a cleaner and greener state with more positive repercussions.
Absence of DM and Class II Colocalization Nonprofessional Antigen-Presenting Cells with -Induced HLA Class II Proteins in g Discoordinate Surface Expression of IFN-Kimberly

We compared HLA class II expression in a human melanoma line (a nonprofessional APC), induced by IFN- g or by stable transfection with CIITA, with constitutive class II expression in an EBV-transformed B lymphoblastoid cell line (a professional APC) from the same donor. IFN- g -induced and CIITA-transfected melanoma cells expressed DR, DP, and DQ at levels similar to those expressed by the professional APC; however, DP and DQ proteins and DM-dependent DR epitopes were delayed in appearing on the cell surface when induced by IFN- g . The delay in cell surface expression of some IFN- g -induced class II epitopes was observed even though Northern blots demonstrated class II and DM genes to be coordinately transcribed and their mRNA levels to be equivalent to that in B lymphoblastoid cells. Confocal microscopy suggests that discoordinate cell surface expression of class II results from different intracellular trafﬁcking for IFN- g -induced class II proteins in the melanoma line compared with that in professional APCs. Speciﬁcally, although DR and DM proteins were present 2 days after IFN- g induction, colocalization of DR and DM proteins intracellularly was not apparent in cells at any time after induction. Failure of DR and DM proteins to colocalize suggests that IFN- g -induced cells lack an intracellular MIIC-like compartment. The absence of a compartment containing DR and DM to facilitate interaction between the two proteins may account for the delayed surface expression of class II epitopes whose formation requires both class II and DM. The Journal of Immunology, 1998, 160: 3207–3216.
Investigation of biogas emitted from a dairy plant lagoon and proposing an innovative Honeycomb Gas Collector(HGC)

Peghah Dairy Plant in Tabriz, Iran, near Shahid Madani International Airport uses a combination of two wastewater treatment systems, namely, lagoon and activated sludge system. Presence of a lagoons near airports can affect passengers getting off the planes due to unpleasant odor and has always been a controversial issue from the urban planners’ point of view. Most of the biological activities in the lagoons are anaerobic producing odorous gases as a result. On the other hand, biogas produced by biological activities enters into the atmosphere, contributing to global warming. To avoid an environmentally adverse effects of the emitted gases from the lagoon in Peghah Diary Plant in Tabriz, the possibility of using the collected gases from the lagoon in heating processes within the plant was studied. In this study, a single experimental unit of an innovative gas collector, named Honeycomb Gas Collector (HGC), was designed and constructed to cover the surface of the lagoon and lagoon inputs were recorded and samples of biogas from the lagoon were collected and analyzed during April 2016 until March 2019. The highest daily amount of 44.82 m 3 biogas from the entire lagoon was recoded in August 2016. Temperature and pH had the most and least significant effect on biogas production respectively. There was a strong relationship with a coefficient of 0.94 between the temperature and the volume of biogas produced. This system proved to be less costly and maintenance free method for covering the lagoon surface.
Experimental Evaluations of the Impact of High availability on the Quality of Protection of Hybrid Clouds

—A common perception of security services is an overhead on distributed system's performance that exponentially increases with scale and heterogeneity of the system's components. While this perception is not untrue, there is no precedence of experimenting the exact impact on its overall performance in terms of quality of protection. This paper presents a formal way of testing the impact of scalability and heterogeneity on the federated Cloud security services. The work presented in this paper aims to develop a mean of quantifying the impact on security functions under various operating conditions and parameters of federated Cloud deployments. The results of this experimental study will help businesses to identify the best security architecture that will fit their Cloud architectures and performance requirements.
Approximate design method for high-solidity blade elements in compressors and turbines

Note presenting an approximate blade-element design method for compressible or incompressible nonviscous flow in high-solidity stators or rotors of axial-, radial-, or mixed-flow compressors, turbines, or two-dimensional cascades. The method is based upon channel-type flow between blade elements on a specified surface of revolution that lies between the hub and shroud and is concentric with the axis of the compressor turbine.
special communication Quantifying gluconeogenesis during fasting

Quantifying gluconeogenesis during fasting. Am. J. Physiol. 273 ( Endocrinol. Metab. 36): E1209– E1215, 1997. —The use of 2 H 2 O in estimating gluconeogen-esis’ contribution to glucose production (%GNG) was exam-ined during progressive fasting in three groups of healthy subjects. One group ( n (cid:53) 3) ingested 2 H 2 O to a body water enrichment of (cid:60) 0.35% 5 h into the fast. %GNG was determined at 2-h intervals from the ratio of the enrichments of the hydrogens at C-5 and C-2 of blood glucose, assayed in hexamethylenetetramine. %GNG increased from 40 (cid:54) 8% at 10 h to 93 (cid:54) 6% at 42 h. Another group ingested 2 H 2 O over 2.25 h, beginning at 11 h ( n (cid:53) 7) and 19 h ( n (cid:53) 7) to achieve (cid:60) 0.5% water enrichment. Enrichment in plasma water and at C-2 reached steady state (cid:60) 1 h after completion of 2 H 2 O ingestion. The C-5-to-C-2 ratio reached steady state by the completion of 2 H 2 O ingestion. %GNG was 54 (cid:54) 2% at 14 h and 64 (cid:54) 2% at 22 h. A 3-h [6,6- 2 H 2 ]glucose infusion was also begun to estimate glucose production from enrichments at C-6, again in hexamethylenetetramine. Glucose produced by gluconeogenesis was 0.99 (cid:54) 0.06 mg·kg (cid:50) 1 ·min (cid:50) 1 at both 14 and 22 h. In a third group ( n (cid:53) 3) %GNG reached steady state (cid:60) 2 h after 2 H 2 O ingestion to only (cid:60) 0.25% enrichment. In conclusion, %GNG by 2 h after 2 H 2 O ingestion and glucose production using [6,6- 2 H 2 ]glucose infusion, begun together, can be determined from hydrogen enrichments at blood glucose C-2, C-5, and C-6. %GNG increases gradually from the postabsorptive state to 42 h of fasting, without apparent change in the quantity of glucose produced by gluconeogenesis at 14 and 22 h.
Resistance of microbial and soil properties to warming treatment seven years after boreal ﬁ re Soil Biology & Biochemistry

Boreal forests store a large fraction of global terrestrial carbon and are susceptible to environmental change, particularly rising temperatures and increased ﬁ re frequency. These changes have the potential to drive positive feedbacks between climate warming and the boreal carbon cycle. Because few studies have examined the warming response of boreal ecosystems recovering from ﬁ re, we established a greenhouse warming experiment near Delta Junction, Alaska, seven years after a 1999 wild ﬁ re. We hypothesized that experimental warming would increase soil CO 2 ef ﬂ ux, stimulate nutrient mineralization, and alter the composition and function of soil fungal communities. Although our treatment resulted in 1.20 (cid:1) C soil warming, we found little support for our hypothesis. Only the activities of cellulose- and chitin-degrading enzymes increased signi ﬁ cantly by 15% and 35%, respectively, and there were no changes in soil fungal communities. Warming resulted in drier soils, but the corresponding change in soil water potential was probably not suf ﬁ cient to limit microbial activity. Rather, the warming response of this soil may be constrained by depletion of labile carbon substrates resulting from combustion and elevated soil temperatures in the years after the 1999 ﬁ re. We conclude that positive feedbacks between warming and the microbial release of soil carbon are weak in boreal ecosystems lacking permafrost. Since permafrost-free soils underlie 45 e 60% of the boreal zone, our results should be useful for modeling the warming response during recovery from ﬁ re in a large fraction of the
Atopic dermatitis and association of risk for primary immune thrombocytopenia and autoimmune diseases among children

AbstractPrimary immune thrombocytopenia (ITP) is currently defined as an acquired autoimmune disorder with persistent thrombocytopenia. However, the temporal interaction between T helper type 2 cell (Th2)-mediated allergic diseases and T helper type 1 cell (Th1)-mediated ITP remains unknown. Atopic dermatitis (AD) is considered one of the first steps in the atopic march. Herein, we conducted a population-based cohort analysis to investigate the risk of ITP in children with AD in comparison with non-AD controls. We subsequently compared the occurrence of other autoimmune diseases in ITP children in both AD and non-AD cohorts. From 2000 to 2007, 120,704 children with newly diagnosed AD and 241,408 randomly selected non-AD controls were included in the study. By the end of 2008, incidences of ITP in both cohorts and the AD cohort to non-AD cohort hazard ratios (HRs) and confidence intervals (CIs) were measured. Comparison of the occurrence of other autoimmune diseases in ITP between children with and without AD was analyzed. The incidence of ITP during the study period was 1.72-fold greater (95% CI: 1.13–2.62) in the AD cohort than in the non-AD cohort (6.96 vs 4.00 per 100,000 person-years). The risk was greatest among male children, children >2 years, those in densely populated areas, and those with white-collar parents. The HR of ITP in AD children increased significantly with the number of AD-related clinical visits (P < 0.001). The risk of developing ITP in the AD cohort was highest within the first 3 years after the diagnosis of AD (HR: 1.78; CI: 1.14–2.78). The AD cohort with ITP had a higher occurrence rate of other autoimmune diseases than the non-AD cohort with ITP. AD children had a greater risk of developing ITP and other autoimmune diseases. Further research is needed to clarify the role of allergy in the pathogenesis of ITP and autoimmune diseases.