Miracle-dz/UniFAR-FTUs huggingface dataset:
Supplementing a home exercise programme with a class-based exercise programme is more effective than home exercise alone in the treatment of knee osteoarthritis.

OBJECTIVE The study aimed to compare the relative effectiveness of providing a home-based exercise programme versus home-based exercise supplemented with an 8-week class-based exercise programme in reducing pain and improving function in patients with knee osteoarthritis. METHODS Patients (n = 214) with radiologically confirmed knee osteoarthritis were selected. Patients were randomly allocated to either home or home supplemented with class-based exercise programmes. Both groups were given a home exercise programme whilst the supplemented group also attended for 8 weeks of twice weekly knee classes. Assessments of locomotor function, walking pain and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were made. Assessments were made pre- and post-treatment and also at 6- and 12-month follow-ups. Statistical analysis involved the use of a longitudinal linear model ANCOVA with baseline values entered as a covariate. RESULTS Patients from the class-based group demonstrated significantly greater improvement in locomotor function (-3.7 seconds; 95% C.I. -4.9 to -2.5) and decrease in walking pain (-15 mm; 95% C.I. -20 to -11) than the home-based group, at 12-months follow-up. CONCLUSIONS The supplementation of a home based exercise programme with a class-based exercise programme led to clinically significant superior improvement. These improvements were still evident at 12-month review. This is the first trial to evaluate this common physiotherapeutic practice, and based on this evidence, supplementation of home exercises with a class-based exercise programme can be recommended to patients, clinicians and service providers.
Utilizing the GCN4 leader region to investigate the role of the sequence determinants in nonsense‐mediated mRNA decay.

In the yeast Saccharomyces cerevisiae, premature translation termination promotes rapid degradation of mRNAs. Accelerated decay requires the presence of specific cis‐acting sequences which have been defined as downstream elements. It has been proposed that the role of the downstream element may be to promote translational reinitiation or ribosomal pausing. The GCN4 gene produces an mRNA that contains four short upstream open reading frames (uORFs) preceding the GCN4 protein‐coding region in which translational initiation and reinitiation events occur. It was anticipated that these uORFs would function in a manner analogous to nonsense codons, promoting rapid degradation of the mRNA. However, the GCN4 transcript was not degraded by the nonsense‐mediated mRNA decay pathway. We have investigated the role of the leader region of the GCN4 transcript in an effort to identify possible sequence elements that inactivate this decay pathway. We show that the GCN4 leader region does not harbor a downstream element needed to promote mRNA decay. In addition, using hybrid GCN4‐PGK1 transcripts, we demonstrate that if a translational reinitiation signal precedes a downstream element, the mRNA will no longer be sensitive to nonsense‐mediated decay. Furthermore, we demonstrate that the downstream element is functional only after a translational initiation and termination cycle has been completed but is unable to promote nonsense‐mediated mRNA decay if it is situated 5′ of a translational initiation site. Based on these results, the role of the downstream element will be discussed.
Arthropathy in Dermatology: A Comprehensive Review

Dermatology and rheumatology are two specialties that deal with significant overlap. In this context, it is important that the dermatologists acquaint themselves with conditions presenting with arthropathy. As the first step, it is essential to know whether the origin of musculoskeletal symptom is articular or extra-articular; inflammatory or noninflammatory; acute or chronic; oligo- or poly-articular. This will help in narrowing down the differential diagnoses as well as in better correlation with the cutaneous symptoms. In this review, we discuss the skin and articular manifestations of common inflammatory and noninflammatory arthropathies including rheumatoid arthritis, spondyloarthropathies, connective tissue disorders, vasculitis, crystal arthropathies, infective arthritis, arthritis associated with degenerative, endocrine and metabolic conditions, etc. We have also added a section on the common cutaneous features associated with the treatment of rheumatologic diseases. A basic understanding of the joint pathologies and associated skin changes will help a long way in the better management of these conditions.
In vivo application of SLSC imaging in human liver

The ability of an ultrasound system to differentiate signals in the presence of clutter is of key clinical importance. There are several sources of clutter but assessing their relative importance and developing methods of reducing them remain areas of active research. We have developed a novel method called short-lag-spatial-coherence (SLSC) imaging that is based purely on the spatial coherence of the backscattered echoes and has a potential to suppress clutter. We compare matched SLSC and B-mode images beamformed from the individual-channel data acquired on human liver in vivo. While all of the SLSC images have higher contrast and CNR then their B-mode counterparts highest improvements can be observed for poor quality fundamental B-mode images that are overwhelmed with acoustic noise.
Modification of a Driving Waveform in an AC Plasma Display Panel With Sc-doped MgO Protecting Layer

In this paper, the change in addressing characteristics of an AC Plasma display panel with Sc-doped MgO protecting layer are investigated with the variation of operation temperature, addressing waiting time, and scan voltage level during address period using ramp addressing pulse. The addressing voltage in the cell which is addressed long time after reset period is higher but showed narrower distribution of addressing discharge event than other cell. This phenomenon is assumed as a result of the increased wall voltage loss and the enhancement of priming effect due to the electron emission from the Sc-doped MgO protecting layer. A modification of driving waveform for scan electrode is suggested to minimize the wall voltage loss and utilize the priming effect due to the electron emission from the protecting layer, and the improvement in addressing characteristics is presented.
Secured mobile messaging

SMS messages are one of the popular ways of communication. Sending an SMS is cheap, fast and simple. When confidential information is exchanged using SMS, it is very difficult to protect the information from SMS security threats like man-in-middle attack, DOS attack as well as ensure that the message is sent by authorized senders. These papers describe solution that provides SMS security that guarantees provision of confidentiality, authentication, and integrity service. These provide hybrid compression encryption technique to secure the SMS data. The proposed techniques encrypt the SMS Elliptic curve encryption techniques and compress the encrypted SMS to reduce its length this document using lossless compression techniques.
In Situ Platform for Isothermal Testing of Thin-Film Mechanical Properties Using Thermal Actuators

An in situ tensile test platform has been developed to study the mechanical properties of thin-film metal specimens. The fully integrated on-chip platform loads a specimen using a thermal actuator (TA). TAs conveniently provide high forces and excellent alignment, but generate large heat that can flow to specimens and raise their temperature. In the new design, heat flow to the specimen is negligible. This attribute was achieved by introducing a thermal resistor that limits heat flow to the specimen and a heat sink that shunts the remaining heat. Tensile residual stress in the specimen was eliminated by including preinserted microgrippers. A comprehensive error analysis indicates that the strength accuracy is ±5% (one standard deviation). The platform was used to study the strength-related mechanical properties of Al/0.5 wt% Cu microtensile bars with two different thicknesses. Initial tests indicate that 0.63-μm-thick tensile bars exhibit higher strength, a larger strain hardening coefficient, and less elongation than 1.03-μm-thick tensile bars. Transmission electron microscopy indicated that the lower ductility was due to plastic strain localization. When the tensile bar length is decreased from 200 to 70 or 50 μm, strength increased by 40% for both thickness values.
Using an ADM-Based Model to Understand the Relationship between Host Physiology, Diet and Intestinal Microflora

The human colon is an anaerobic environment densely populated with bacterial species creating an ecosystem imperative to physiological function with regards to metabolism of non-digestable residues. Using a mathematical representation of carbohydrate degradation as an experimental platform, the effect in variability of system flow rate and dietary fiber consumption to a measure of ecological diversity in the colon was studied. Results demonstrate a low variance in bacterial diversity, and strong linear relationships between variables. These relationships can provide good approximations of the intestinal microflora behaviour with respect to flow rate and fiber consumption in a simple computation despite the underlying mechanisms being described in a non-linear, highly complex system.
Improving revenue for reliability-aware VDC embedding in a software-defined data center

It is a challenge to improve utilization of physical resources when allocating resources for virtual data centers (VDCs). In this work we proposed two reliability-aware VDC embedding methods NMP and NMPD. To reduce embedding cost, the proposals try to split VMs into clusters based on topological potential and modularity and assign each cluster to a server. Via simulations, we show that NMP can accept more VDCs and help InPs improve the revenue. Although accepting a little less VDCs, NMPD can reduce resources occupied by VDCs and alleviate the congestion of core links.
Screening the yeast deletant mutant collection for hypersensitivity and hyper‐resistance to sorbate, a weak organic acid food preservative

Certain yeasts cause large‐scale spoilage of preserved food materials, partly as a result of their ability to grow in the presence of the preservatives allowed in food and beverage preservation. This study used robotic methods to screen the collection of Saccharomyces cerevisiae gene deletion mutants for both increased sensitivity and increased resistance to sorbic acid, one of the most widely‐used weak organic acid preservatives. In this way it sought to identify the non‐essential, non‐redundant activities that influence this resistance, activities that might be the potential targets of new preservation strategies. 237 mutants were identified as incapable of growth at pH 4.5 in presence of 2 mM sorbic acid, while 34 mutants exhibit even higher sorbate resistance than the wild‐type parental strain. A number of oxidative stress‐sensitive mutants, also mitochondrial mutants, are sorbate‐sensitive. This appears to reflect the importance of sustaining a reducing intracellular environment (high reduced glutathione levels and NADH/NAD and NADPH/NADP ratios). Sorbate resistance is also very severely compromised in mutants lacking an acidified vacuole, in vacuolar protein sorting (vps) mutants, in mutants defective in ergosterol biosynthesis (erg mutants) and with several defects in actin and microtubule organization. Sorbate resistance is, however, elevated with the loss of the Yap5 transcription factor; with single losses of two B‐type cyclins (Clb3p, Clb5p); and with loss of a plasma membrane calcium channel activated by endoplasmic reticulum stress (Cch1p/Mid1p). Copyright © 2004 John Wiley & Sons, Ltd.
Oscillatory Activity in Entorhinal Neurons and Circuits: Mechanisms and Function

Abstract: Layers II and V of the entorhinal cortex (EC) occupy a privileged anatomical position in the temporal lobe memory system that allows them to gate the main flow of information in and out of the hippocampus, respectively. In vivo studies have shown that layer II of the EC is a robust generator of theta as well as gamma activity. Theta may also be present in layer V, but the layer V network is particularly prone to genesis of short‐lasting high‐frequency oscillations (“ripples”). Interestingly, in vitro studies have shown that EC layers II and V, but not layer III, have the potential to act as independent pacemakers of population oscillatory activity. Moreover, it has also been shown that sub‐groups of principal neurons both within layers II and V, but not layer III, are endowed with autorhythmic properties. These are characterized by subthreshold oscillations where the depolarizing phase is driven by the activation of “persistent” Na+ channels. We propose that the oscillatory properties of layer II and V neurons and local circuits are responsible for setting up the proper temporal dynamics for the coordination of the multiple sensory inputs that converge onto EC and thus help to generate sensory representations and memory encoding.
Executive and nonexecutive demands of constructional measures within a children’s psychiatric inpatient setting

ABSTRACT This study examined the role of executive functioning in constructional task performance (measured with the Rey Complex Figure Test-Copy Condition [RCFT] and Beery-Buktenica Developmental Test of Visual-Motor Integration [Beery-VMI]) within a children’s psychiatric inpatient setting. A chart review was conducted for 88 children (aged 6–12) who received a neuropsychological evaluation during a psychiatric inpatient hospitalization. Multiple regression analyses investigated the role of executive and nonexecutive demands on RCFT and Beery-VMI performance. Forty-three percent of the sample displayed a constructional weakness. Children with a constructional weakness had lower FSIQ scores and a higher rate of executive dysfunction. Performance on the RCFT was independently predicted by perceptual ability (i.e., Matrix Reasoning; p = .008; β = .340) and attention/executive dysfunction (p = .003; β = −.342; 9.4% of variance), while performance on the Beery-VMI was independently predicted by constructional ability (i.e., Block Design; p = .004, β = .338). Results of this study demonstrate that the RCFT has greater executive demand than the VMI and yields a greater rate of impaired performance in an inpatient child sample as compared to the VMI. Clinical and research practices should consider the distinct differences between various constructional measures to ensure their proper use and interpretation with consideration to their varying executive and nonexecutive demands.
Antenatal and postnatal mental health: summary of updated NICE guidance

The bottom line This guideline is an update of the 2007 National Institute for Health and Care Excellence (NICE) guideline on antenatal and postnatal mental health.1 It covers a broad range of mental disorders, including depression, anxiety disorders, eating disorders, drug and alcohol use disorders, and severe mental illness (such as psychosis, bipolar disorder, schizophrenia, and severe depression), which can all occur in the antenatal and postnatal periods. The guidance focuses on aspects of the identification and management of these disorders that are specific to this context. For example, women with bipolar disorder are at increased risk of a relapse in the early postpartum period, and postpartum psychoses (whether in women with bipolar disorder or not) are particularly rapid in onset and severe.2 These problems are managed differently during the antenatal and postnatal periods than at other times because of the impact that the mental disorder and its treatment (for example, the use of psychotropic drugs) can have on the fetus or baby.3 4 This article summarises the most recent recommendations from NICE on the clinical management …
Apply Block Index Technique to Scientific Data Analysis and I/O Systems

Scientific discoveries are increasingly relying on analysis of massive amounts of data. The ability to directly access the most relevant data records through query, without shifting through all of them becomes essential. However, scientific datasets are commonly stored on parallel file systems and I/O systems that are optimized for reading/writing large chunks of data, and many scientific datasets have spatial-temporal data similarity, such that the records with similar values often locate in a close proximity of each other. Therefore, our previous work started to investigate the benefit of using block range index technique for scientific datasets, which only records the value range of all the records in a data block. In this paper, we extend our work in several aspects. First, we implement and integrate our blockindex technique with the ADIOS I/O system. Second, we show our proposed method can be significantly better than the existing minmax and bitmaps indexing methods supported in ADIOS, and can also have comparable performance in the worst case. Third, we propose several techniques that can take advantage of the block index information to greatly reduce data retrieval time from query results. Fourth, we evaluate our approach using several real scientific datasets, and analyze the spatial-temporal data similarity characteristics in them. Through our study, we believe block index can be an effective indexing technique for scientific datasets with little implementation and operating overhead. It's size is small enough for building the indexes on-the-fly, and yet its query information is sufficient for efficient data access.
A Performance Model for FMCG Sector Employees Using Linguistic Fuzzy Multi Criteria Group Decision Making

Objectives: To propose a model for ranking the performance of the employees of FMCG sector. Methods/Statistical Analysis: In this paper, authors have used Min Max Method. The data for 100 employees have been generated for identifying the performance of employees through linguistic theory model. The main factors which affect the performance of the employee can be mainly categorized in four sections: job performance, job capacities, job behavior and personal. For each performance criterion the linguistic values has been assigned. Then the relative importance of linguistic variables is calculated. Findings: The major step in the decision making process is to establish a fuzzy association relation between a precise category and every employee's performance for that group. Considering the significance allocated to each criterion set the highest value for that grouping, the association relation is established by taking the complement of the category set importance. This complement produces a smallest performance value assigned to all employees as per the category. At the end, combined the performances of the employee across all groups in order to achieve a complete assessment by applying the min function to the set. Author got the results that 80 employees needed training in job performance as they have overall rating 0.2; whereas 16 employees needed training in job capacities as they have overall rating 0.40 and 4 employees can be promoted as they have overall rating 0.41 which is highest. Applications/Improvements: The proposed approach of fuzzy evaluation methodology can be used for other sectors like evaluation of students, evaluation of product or quality assessment of software, teacher or supplier evaluation with small modifications.
Measurement of Ligand–Target Residence Times by 1H Relaxation Dispersion NMR Spectroscopy

A ligand-observed 1H NMR relaxation experiment is introduced for measuring the binding kinetics of low-molecular-weight compounds to their biomolecular targets. We show that this approach, which does not require any isotope labeling, is applicable to ligand–target systems involving proteins and nucleic acids of variable molecular size. The experiment is particularly useful for the systematic investigation of low affinity molecules with residence times in the micro- to millisecond time regime.
Employee Maintenance: Examining Employment Relationships from the Perspective of Managerial Leaders

Abstract For work organizations and their members, establishing and maintaining mutually satisfying employment relationships is a fundamental concern. The importance that scholars attach to employment relationships is reflected in research streams that explore the optimal design of strategic human resource management systems, the nature of psychological contract fulfillment and violation, and the factors associated with achieving person-environment fit, among others. Generally missing from theory and research pertaining to employment relationships is the perspective of individuals who reside at the employee-employer interface – managerial leaders. We argue that, for managerial leaders, a pervasive concern involves the tangible and intangible resource requirements of specific employees. We then provide the groundwork for study of the leader’s perspective on employment relationships by proposing a model that identifies how employees come to be perceived as low versus high maintenance and how these perceptions, in turn, influence leader cognition, affect, and behavior.
Generating commentaries for tennis videos

We present an approach to automatically generating verbal commentaries for tennis games. We introduce a novel application that requires a combination of techniques from computer vision, natural language processing and machine learning. A video sequence is first analysed using state-of-the-art computer vision methods to track the ball, fit the detected edges to the court model, track the players, and recognise their strokes. Based on the recognised visual attributes we formulate the tennis commentary generation problem in the framework of long short-term memory recurrent neural networks as well as structured SVM. In particular, we investigate pre-embedding of descriptive terms and loss function for LSTM. We introduce a new dataset of 633 annotated pairs of tennis videos and corresponding commentary. We perform an automatic as well as human based evaluation, and demonstrate that the proposed pre-embedding and loss function lead to substantially improved accuracy of the generated commentary.
Topical nicotinamide for seborrheic dermatitis: an open randomized study

Background: Treatment of seborrheic dermatitis (SD) includes various options with different success and safety limitations. Objective: To evaluate the efficacy of topical nicotinamide (NCT) in the treatment of SD. Methods: A total of 48 patients with mild to moderate SD of the face were enrolled in the study (36 males and 12 females; age 20–50 years). Patients were randomized into two groups A and B, who were treated once a day with topical administration of NCT 4% cream and with the vehicle without NCT (placebo), respectively. Clinical measures were assessed by erythema, scaling, and infiltration, which were evaluated using a four-point scale 0–3 before starting treatment and after 2, 6, and 12 weeks' therapy. Results: In comparison with baseline, a reduction of 75% of the total score was observed in patients treated with NCT, whereas for placebo-treated patients the reduction was of 35% (p < 0.05). Conclusion: Topical NCT 4% can have a potential for the treatment of SD.