Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of Integrated Technology in Team Sports: A Review of Opportunities, Challenges, and Future Directions for Athletes

Abstract Dellaserra, CL, Gao, Y, and Ransdell, L. Use of integrated technology in team sports: A review of opportunities, challenges, and future directions for athletes. J Strength Cond Res 28(2): 556–573, 2014—Integrated technology (IT), which includes accelerometers, global positioning systems (GPSs), and heart rate monitors, has been used frequently in public health. More recently, IT data have been used in sports settings to assess training and performance demands. However, the impact of IT in sports settings is yet to be evaluated, particularly in field-based team sports. This narrative-qualitative review provides an overview of the emerging impact of IT in sports settings. Twenty electronic databases (e.g., Medline, SPORTdiscus, and ScienceDirect), print publications (e.g., Signal Processing Magazine and Catapult Innovations news releases), and internet resources were searched using different combinations of keywords as follows: accelerometers, heart rate monitors, GPS, sport training, and field-based sports for relevant articles published from 1990 to the present. A total of 114 publications were identified, and 39 that examined a field-based team sport using a form of IT were analyzed. The articles chosen for analysis examined a field-based team sport using a form of IT. The uses of IT can be divided into 4 categories: (a) quantifying movement patterns (n = 22), (b) assessing the differences between demands of training and competition (n = 12), (c) measuring physiological and metabolic responses (n = 16), and (d) determining a valid definition for velocity and a sprint effort (n = 8). Most studies used elite adult male athletes as participants and analyzed the sports of Australian Rules football, field hockey, cricket, and soccer, with sample sizes between 5 and 20 participants. The limitations of IT in a sports setting include scalability issues, cost, and the inability to receive signals within indoor environments. Integrated technology can contribute to significant improvements in the preparation, training, and recovery aspects of field-based team sports. Future research should focus on using IT with female athlete populations and developing resources to use IT indoors to further enhance individual and team performances.
Functionalized Graphene Oxide Bridging between Enzyme and Au-Sputtered Screen-Printed Interface for Glucose Detection

This work reports the fabrication of an electrochemical glucose biosensor based on functionalized graphene, assembled onto a gold-sputtered screen-printed electrode. With the aim of simplicity, versatility, and low cost, biosensors dually functionalized with graphene oxide containing excess carboxylic acids and thiol functionality were synthesized and characterized by Fourier transform infrared, Raman, and UV–vis spectroscopy. The increased carboxylic groups of the graphene backbone provided more active sites for the remote functional groups of glucose oxidase during 1-ethyl-3-(3-(dimethylamino)propyl)carbodiimide-assisted immobilization. The modified electrode interface was characterized by scanning electron microscopy, atomic force microscopy, and cyclic voltammetry. This hybrid electrode interface showed higher sensitivity for glucose (3.1732 μA mM–1 cm–2) with a detection limit of 0.3194 mM (S/N = 3). Furthermore, the fabricated biosensor demonstrated a linear response in 3–9 mM glucose concentration .
Browsing and searching compressed documents

Compression and information retrieval are two areas of document management that exist separately due to the conflicting methods of achieving their goals. This research examines a mechanism which provides lossless compression and phrase-based browsing and searching of large document collections. The framework for the investigation is an existing off-line dictionary-based compression algorithm. An analysis of the algorithm, supported by previous work and experiments, highlights two factors that are important for retrieval: efficient decoding, and a separate dictionary stream. However, three areas of improvement are necessary, prior to the inclusion of the algorithm into a browsing system. First, in order to accommodate retrieval, the algorithm must produce a dictionary built up on words, rather than characters. A pre-processing stage is introduced which separates the message into words and non-words, along with word modifiers. Second, the memory requirements of the algorithm prevent the processing of large documents. Earlier work has proposed a solution which separates the message into individual blocks prior to compression. Here, a post-processing stage is proposed which combines the blocks in a series of phases. Experiments show the trade-offs between the number of phases performed and the improvements in compression levels. Organisations which provide access to an information retrieval system to users are sometimes concerned with the amount of disk space available. But users have a different point of view and may place response time at a higher priority. Indeed, faster computers and network connections translate into plummeting patience levels of users. The last improvement to the compression algorithm is two new coding schemes which replace the entropy coder that was used in previous work. While deploying them sacrifices compression effectiveness, these two mechanisms offer improved efficiency, as shown through experiments. With the enhancements to the compression algorithm in hand, a technique to efficiently support phrase browsing is presented. Phrase contexts can be searched and progressively refined through the word modifiers. Because of the three changes to the algorithm, phrases are more visually appealing, larger documents can be processed, and response times are improved.
An overview of Indian research in depression

Depression as a disorder has always been a focus of attention of researchers in India. Over the last 50-60 years, large number of studies has been published from India addressing various aspects of this commonly prevalent disorder. The various aspects studied included epidemiology, demographic and psychosocial risk factor, neurobiology, symptomatology, comorbidity, assessment and diagnosis, impact of depression, treatment related issues and prevention of depression in addition to the efficacy and tolerability of various antidepressants. Here, we review data on various aspects of depression, originating from India.
Direct Model-Predictive Control With Variable Commutation Instant: Application to a Parallel Multicell Converter

This paper presents a new formulation of a finite control set model-predictive control (FCS-MPC) algorithm, allowing to determine the best commutation instant in order to optimize the converter current tracking. This algorithm, mixing properties of FCS-MPC method and time resolution related to pulse width modulation schemes, is illustrated in a parallel flying capacitor converter. The parallel association of classical commutation cells is a good solution for increasing the output current driven by the converters, while the standard semiconductor technology is used. The control strategy used with this type of connection must be able to ensure not only a good distribution of the output current among the different legs, but also the balancing of the floating capacitor voltages.
Self-organizing Maps with spiking neuron model JASTAP

A self-organizing map of spiking neurons which is able to group input patterns is presented. The entire simulation (training) is based on real-time events so no time steps are used. This increases precision and in some cases also speed. Moreover, it will be shown that this kind of approach makes splitting the network into several independent machines and the parallelization of the algorithm possible. Therefore a larger network can be used.
Comparative evaluation of patients newly initiating first-generation versus second-generation tyrosine kinase inhibitors for chronic myeloid leukemia and medication adherence, health services utilization, and healthcare costs

Abstract Background: Chronic myeloid leukemia (CML) treatment guidelines recommend first-line therapy with either first- or second-generation tyrosine kinase inhibitors (1GTKI, 2GTKI), but do not specify which generation should be used first. Objective: To examine the association between initiation of 2GTKI versus 1GTKI and medication adherence, health services utilization, and healthcare costs. Method: This was a retrospective cohort study utilizing administrative claims data from a single health plan within the US of commercial and Medicare patients newly initiating 1GTKI or 2GTKI therapy for CML between June 2010 and December 2011. Multivariate logistic regression was used to investigate the association between TKI therapy and adherence, defined as proportion of days covered ≥0.85. Multivariate logistic regression and generalized linear models examined the association between TKI and health services utilization and direct healthcare costs (plan and patient paid) during the 12 month follow-up period. Results: Among the 368 patients included, there was no difference in adherence between patients initiating a 2GTKI compared to a 1GTKI (odds ratio = 0.88, 95% confidence interval [CI] 0.55–1.40). Initiating a 2GTKI was associated with increased outpatient visits (incidence rate ratio [IRR] = 1.12, 95% CI 1.06–1.20); however, there were no statistically significant differences in emergency room visits or inpatient visits between the treatment groups. Total costs were 1.3 times higher for 2GTKI initiators versus 1GTKI initiators ($86,509 versus $66,443; p = 0.001), with a significant difference in TKI pharmacy costs. Conclusions: Although there were no differences in adherence, hospitalizations, or emergency room visits among patients initiating a second- versus first-generation TKI, total all-cause costs and outpatient visits were higher for 2GTKI initiators. With the impending release of generic imatinib, these comparative data will become germane in the selection of a first-line TKI therapy. Because this study used claims from a single health plan, it may not be generalizable to the general population.
Broadcast audience estimation

We investigate the estimation of the size of a broadcast audience. We give the maximum likelihood (ML) estimators for different scenarios. Using a Poisson approximation we obtain upper and lower bounds for the audience size. The ML estimators has closed-form expressions, so do the bounds. We treat the problem of a malfunctioning feedback flow control, where the sender is overwhelmed by feedback messages. The ML estimate of the audience size is obtained using the expectation-maximization (EM) algorithm, even under such conditions as censored values due to feedback implosion. Quantifying the influence of feedback implosion on the loss of information for the audience estimation, we further investigate the choice of the parameters in order to optimize estimation results.
Robust message recovery for non-cooperative compute-and-forward relaying

Compute-and-Forward relaying schemes exploit the additive nature of the wireless channel for decoding linear equations/combinations of transmitted messages. However, decoding equations that maximize the computation rate at each relay is in general not optimal from the network perspective. In fact, the (destination) receiver may fail to recover the individual messages even when the relays have successfully decoded linear combinations of them. This paper introduces an easy to implement non-cooperative practical scheme using short linear codes that guarantees a message recovery at the receiver given a successful recovery of linear combinations. We achieve this by putting additional constraints at the relays, which allows us to convert the shortest vector problem into a closest vector problem solvable in polynomial complexity.
Using combined Avrami-Ozawa method to evaluate low-temperature reversible aging in asphalt binders

This paper aims to reasonably evaluate the reversible aging resistance of asphalt binders and comprehend the effects of low-temperature gradually hardening on fundamental properties of asphalt binders. To do so, extended bending beam rheometer (ExBBR) test with prolonged different conditioning times were performed on different kinds of asphalt binders, and viscoelastic mechanics model (Burgers model) was employed for describing the rheological properties. The combined Avrami-Ozawa equation was applied to characterise the non-isothermal crystallization process of asphalt binders which have a significantly different degree of physical hardening. The results showed that stiffness or m-value obtained from extended BBR test with logarithmic conditioning time has high coefficient of determination. Predicted stiffness and m-value from proposed empirical formula can be used to estimate extended BBR low temperature limiting grade (LTPG) that could be applicable for quality control (QC) purposes in the future. Lastly, the combined Avrami-Ozawa method can be successfully used to describe the non-isothermal crystallization process of asphalt binders used in this study.
Quality-Based Backlight Optimization for Video Playback on Handheld Devices

For a typical handheld device, the backlight accounts for a significant percentage of the total energy consumption (e.g., around 30% for a Compaq iPAQ 3650). Substantial energy savings can be achieved by dynamically adapting backlight intensity levels on such low-power portable devices. In this paper, we analyze the characteristics of video streaming services and propose a cross-layer optimization scheme called quality adapted backlight scaling (QABS) to achieve backlight energy savings for video playback applications on handheld devices. Specifically, we present a fast algorithm to optimize backlight dimming while keeping the degradation in image quality to a minimum so that the overall service quality is close to a specified threshold. Additionally, we propose two effective techniques to prevent frequent backlight switching, which negatively affects user perception of video. Our initial experimental results indicate that the energy used for backlight is significantly reduced, while the desired quality is satisfied. The proposed algorithms can be realized in real time.
G-Log: A Graph-Based Query Language

We introduce G-Log, a declarative query language based on graphs, which combines the expressive power of logic, the modeling power of complex objects with identity and the representation power of graphs. G-Log is a nondeterministic complete query language, and thus allows the expression of a large variety of queries. We compare G-Log to well-known deductive database languages, and find that it is the only nondeterministic and computationally complete language that does not suffer from the copy-elimination problem. G-Log may be used in a totally declarative way, as well as in a "more procedural" way. Thus, it provides an intuitive, flexible graph-based formalism for nonexpert database users. >
Advances in salivary gland gene therapy – oral and systemic implications

Introduction: Much research demonstrates the feasibility and efficacy of gene transfer to salivary glands. Recently, the first clinical trial targeting a salivary gland was completed, yielding positive safety and efficacy results. Areas covered: There are two major disorders affecting salivary glands: radiation damage following treatment for head and neck cancers and Sjögren’s syndrome (SS). Salivary gland gene transfer has also been employed in preclinical studies using transgenic secretory proteins for exocrine (upper gastrointestinal tract) and endocrine (systemic) applications. Expert opinion: Salivary gland gene transfer is safe and can be beneficial in humans. Applications to treat and prevent radiation damage show considerable promise. A first-in-human clinical trial for the former was recently successfully completed. Studies on SS suffer from an inadequate understanding of its etiology. Proof of concept in animal models has been shown for exocrine and endocrine disorders. Currently, the most promising exocrine application is for the management of obesity. Endocrine applications are limited, as it is currently impossible to predict if systemically required transgenic proteins will be efficiently secreted into the bloodstream. This results from not understanding how secretory proteins are sorted. Future studies will likely employ ultrasound-assisted and pseudotyped adeno-associated viral vector-mediated gene transfer.
An overview of Influenza A virus receptors

Influenza A viruses are spherical particles that attach to cells through bonds between hemagglutinin and specific cellular receptors. Numerous studies performed have recently revealed that Sialic acid (SA) is a crucial component of influenza A virus receptors. This brief review summarizes recent advances in our understanding of influenza A virus receptors. The introduction describes the classification of influenza A virus receptors and the review continues with a survey of the distribution of SA in different tissue and host. This is followed by research applications of influenza A virus receptors, and explanation of why receptor studies are so important on a world-wide scale.
A New Computational Approach to the Game of Go

This paper investigates the application of neural network techniques to the creation of a program that can play the game of Go with some degree of success. The combination of soft AI, such as neural networks, and hard AI methods, such as alpha-beta pruned minimax game tree searching, is attempted to assess the usefulness of blending these two different types of artificial intelligence and to investigate how the methods can be combined successfully.
Null Values in Definite Programs

Abstract : Null values are a special kind of incomplete information that appear in relational database applications. There are several kinds of null values. The one modeled in this paper are those that represent entitles that are known to exist but whose exact values are only known to be in a finite subset of constants in a given domain. For example, if we know that Paul is the fraternal grandfather of John, then we know that there is someone who is the father of John and a child of Paul. If we futher assume that there are only finitely many individuals, then this someone can be represented by the kind of null value mentioned here. In this paper we incorporate these null values into definite programs by using a new kind of symbols called S-constants. We present model theoretic, proof theoretic and fixpoint semantics for such programs. In the above example, given the additional knowledge that Mike is the father of Joe, these semantics allow us to answer the question are John and Joe brothers? by yes, if the (unknown) father of John is Mike. The proposed semantics reduce to the usual semantics for definite programs when there are no null values present.
Identifying Devnagri characters

Text in Devnagri script, used for Sanskrit, Hindi, Marathi, Nepali and Konkani languages, presents a single solid flank. There is no separation between the characters. For Sanskrit between words there may not be any separation. Coupled to this there is the practice of having more than twelve forms each for the thirty six consonants which results in additions to the principle character in vertical directions, some above and some below the main character. There are also compound consonants. The net result is that there are several thousand different forms or patterns which it is necessary to identify which may in addition be connected with each other without any visible separation. Prima facie the task appears to be impossible, but Devnagri script has some built in rules which makes it not just possible but the simplest of the tasks to recognise the individual characters. The paper introduces the approach and analysis by which the OCR program was developed. Results obtained from the field tests are presented.
Services for people with haemoglobinopathy

EDITOR, - Sally Davies has expressed her concern, which I share, on the quality and quantity of services available to patients with sickle cell anaemia, as compared with those available to patients with other inherited disorders.1 I find it pertinent to note how much population genetics can affect public health. With a heterozygote (AS) …
Neuronal Nitric Oxide Synthase Inhibition Prevents Cerebral Palsy following Hypoxia-Ischemia in Fetal Rabbits: Comparison between JI-8 and 7-Nitroindazole

Cerebral palsy and death are serious consequences of perinatal hypoxia-ischemia (HI). Important concepts can now be tested using an animal model of cerebral palsy. We have previously shown that reactive oxygen and nitrogen species are produced in antenatal HI. A novel class of neuronal nitric oxide synthase (nNOS) inhibitors have been designed, and they ameliorate postnatal motor deficits when administered prior to the hypoxic-ischemic insult. This study asks how the new class of inhibitors, using JI-8 (Ki for nNOS: 0.014 µM) as a representative, compare with the frequently used nNOS inhibitor 7-nitroindazole (7-NI; Ki: 0.09 ± 0.024 µM). A theoretical dose equivalent to 75 Ki of JI-8 or equimolar 7-NI was administered to pregnant rabbit dams 30 min prior to and immediately after 40 min of uterine ischemia at 22 days gestation (70% term). JI-8 treatment resulted in a significant decrease in NOS activity (39%) in fetal brain homogenates acutely after HI, without affecting maternal blood pressure and heart rate. JI-8 treatment resulted in 33 normal kits, 2 moderately and 13 severely affected kits and 5 stillbirths, compared with 8 normal, 3 moderately affected and 5 severely affected kits and 10 stillbirths in the 7-NI group. In terms of neurobehavioral outcome, 7-NI was not different from saline treatment, while JI-8 was superior to saline and 7-NI in its protective effect (p < 0.05). In the surviving kits, JI-8 significantly improved the locomotion score over both saline and 7-NI scores. JI-8 was also significantly superior to saline in preserving smell, muscle tone and righting reflex function, but 7-NI did not show significant improvement. Furthermore, a 100-fold increase in the dose (15.75 µmol/kg) of 7-NI significantly decreased systolic blood pressure in the dam, while JI-8 did not. The new class of inhibitors such as JI-8 shows promise in the prevention of cerebral palsy and is superior to the previously more commonly used nNOS inhibitor.