Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Phase Fingerprint Map Based on Interpolation for Indoor Localization Using iBeacons

It has traditionally been laborious and problematic to construct and maintain fingerprint maps for indoor positioning. In this paper, a multi-phase fingerprint map indoor localization method based on interpolation was proposed. The method addresses two needs: (1) to construct an efficient fingerprint map, and (2) to provide high-accuracy indoor positioning. For the effective collection of the real-time received signal strength indicator (RSSI), we proposed a mobile data-collection cart, equipped with a laser rangefinder and a smartphone, which can rapidly collect environmental data in indoor spaces. In practice, as some regions might be inaccessible, we adopted a kriging-based interpolation method that exploits the spatial autocorrelation of the RSSI to efficiently generate and update the fingerprint database. To overcome the instability of RSSI and improve positioning accuracy, we proposed a time-variant multi-phase fingerprint map, with specific fingerprint databases constructed for different time periods, thereby automatically employing the most appropriate fingerprint map according to the time period. Indoor experiments verified that the proposed method has practical value, with sufficient accuracy for general indoor applications. We believe that the proposed method provides a feasible and low-cost indoor positioning solution.
Reconsidering Return-to-Play Times: A Broader Perspective on Concussion Recovery

Background: Return-to-play protocols describe stepwise, graduated recoveries for safe return from concussion; however, studies that comprehensively track return-to-play time are expensive to administer and heavily sampled from elite male contact-sport athletes. Purpose: To retrospectively assess probable recovery time for collegiate patients to return to play after concussion, especially for understudied populations, such as women and nonelite athletes. Study Design: Cohort study; Level of evidence, 3. Methods: Medical staff at a military academy logged a total of 512 concussion medical records over 38 months. Of these, 414 records included complete return-to-play protocols with return-to-play time, sex, athletic status, cause, and other data. Results: Overall mean return to play was 29.4 days. Sex and athletic status both affected return-to-play time. Men showed significantly shorter return to play than women, taking 24.7 days (SEM, 1.5 days) versus 35.5 days (SEM, 2.7 days) (P < .001). Intercollegiate athletes also reported quicker return-to-play times than nonintercollegiate athletes: 25.4 days (SEM, 2.6 days) versus 34.7 days (SEM, 1.6 days) (P = .002). These variables did not significantly interact. Conclusion: Mean recovery time across all groups (29.4 days) showed considerably longer return to play than the most commonly cited concussion recovery time window (7-10 days) for collegiate athletes. Understudied groups, such as women and nonelite athletes, demonstrated notably longer recovery times. The diversity of this sample population was associated with longer return-to-play times; it is unclear how other population-specific factors may have contributed. These inclusive return-to-play windows may indicate longer recovery times outside the population of elite athletes.
Modeling profit of sliced 5G networks for advanced network resource management and slice implementation

The core innovation in future 5G cellular networks-network slicing, aims at providing a flexible and efficient framework of network organization and resource management. The revolutionary network architecture based on slices, makes most of the current network cost models obsolete, as they estimate the expenditures in a static manner. In this paper, a novel methodology is proposed, in which a value chain in sliced networks is presented. Based on the proposed value chain, the profits generated by different slices are analyzed, and the task of network resource management is modeled as a multi-objective optimization problem. Setting strong assumptions, this optimization problem is analyzed starting from a simple ideal scenario. By removing the assumptions step-by-step, realistic but complex use cases are approached. Through this progressive analysis, technical challenges in slice implementation and network optimization are investigated under different scenarios. For each challenge, some potentially available solutions are suggested, and likely applications are also discussed.
Hyperjaponol H, A New Bioactive Filicinic Acid-Based Meroterpenoid from Hypericum japonicum Thunb. ex Murray

Hyperjaponol H (1), a new filicinic acid-based meroterpenoid, with a 6/6/10 ring system trans-fused by hetero-Diels–Alder cycloaddition between a germacrane sesquiterpenoid and a filicinic acid moiety, was isolated from aerial parts of Hypericum japonicum. The elucidation of its structure and absolute configuration were accomplished by the analyses of extensive spectroscopic data and the comparison of Cotton effects of electron circular dichroism (ECD) with previously reported ones. The bioactivity assay showed that hyperjaponol H exhibited a moderate inhibitory efficacy on lytic Epstein-Barr virus (EBV) DNA replication in B95-8 cells.
Job Recommendation Based on Job Seeker Skills: An Empirical Study

In the last years, job recommender systems have become popular since they successfully reduce information overload by generating personalized job suggestions. Although in the literature exists a variety of techniques and strategies used as part of job recommender systems, most of them fail to recommending job vacancies that fit properly to the job seekers profiles. Thus, the contributions of this work are threefold, we: i) made publicly available a new dataset formed by a set of job seekers profiles and a set of job vacancies collected from different job search engine sites; ii) put forward the proposal of a framework for job recommendation based on professional skills of job seekers; and iii) carried out an evaluation to quantify empirically the recommendation abilities of two state-of-the-art methods, considering different configurations, within the proposed framework. We thus present a general panorama of job recommendation task aiming to facilitate research and real-world application design regarding this important issue.
E-EVALUATION IN OPEN AND DISTANCE LEARNING ENVIRONMENTS

In this contribution, we explore the use of e-voting based cryptographic protocols to implement synchronous as well as asynchronous online electronic evaluation procedures in order to alleviate the problems arising from the lack of interpersonal transaction in open and distance learning environments. Our approach is based on the similarity of privacy requirements exhibited on such environments to the security and privacy requirements that are being met by electronic voting protocols.
Characterizing and Modeling Package Dynamics in Express Shipping Service Network

Along with the increasing prosperity of market economy and the growth of online retail, express shipping service (e.g. FedEx, UPS) is playing an increasingly important role in our daily lives. A thorough understanding of the network structure and the package traffic dynamics of largescale express shipping service network (ExpressNet) is essential for performance evaluation, network optimization, and user experience enhancement. Moreover, it would also be interesting and helpful to investigate how express shipping service reflects people's daily lives. In this paper, we propose systematic work to characterize and model the traffic dynamics in a nationwide ExpressNet. We collect 16 million delivery traces over 4 months in China, and examine its characteristics from a wide range of perspective, including network structure, temporal and spatial traffic dynamics, which provide important insights into express companies to better understand the network performance. On top of that, we develop an Extended Markov Model (EMM) to capture the dynamics of package delivery process and further predict the package delay, which is a major performance metric that both customers and express companies are concerned about. Data-based evaluation shows our model can achieve 91% prediction accuracy.
Large-Scale Distribution and Activity of Prokaryotes in Deep-Sea Surface Sediments of the Mediterranean Sea and the Adjacent Atlantic Ocean

The deep-sea represents a substantial portion of the biosphere and has a major influence on carbon cycling and global biogeochemistry. Benthic deep-sea prokaryotes have crucial roles in this ecosystem, with their recycling of organic matter from the photic zone. Despite this, little is known about the large-scale distribution of prokaryotes in the surface deep-sea sediments. To assess the influence of environmental and trophic variables on the large-scale distribution of prokaryotes, we investigated the prokaryotic assemblage composition (Bacteria to Archaea and Euryarchaeota to Crenarchaeota ratio) and activity in the surface deep-sea sediments of the Mediterranean Sea and the adjacent North Atlantic Ocean. Prokaryotic abundance and biomass did not vary significantly across the Mediterranean Sea; however, there were depth-related trends in all areas. The abundance of prokaryotes was positively correlated with the sedimentary concentration of protein, an indicator of the quality and bioavailability of organic matter. Moving eastwards, the Bacteria contribution to the total prokaryotes decreased, which appears to be linked to the more oligotrophic conditions of the Eastern Mediterranean basins. Despite the increased importance of Archaea, the contributions of Crenarchaeota Marine Group I to the total pool was relatively constant across the investigated stations, with the exception of Matapan-Vavilov Deep, in which Euryarchaeota Marine Group II dominated. Overall, our data suggest that deeper areas of the Mediterranean Sea share more similar communities with each other than with shallower sites. Freshness and quality of sedimentary organic matter were identified through Generalized Additive Model analysis as the major factors for describing the variation in the prokaryotic community structure and activity in the surface deep-sea sediments. Longitude was also important in explaining the observed variability, which suggests that the overlying water masses might have a critical role in shaping the benthic communities.
Fatigue in breast cancer survivors: occurrence, correlates, and impact on quality of life.

PURPOSE To describe the occurrence of fatigue in a large sample of breast cancer survivors relative to general population norms and to identify demographic, medical, and psychosocial characteristics of fatigued survivors. PATIENTS AND METHODS Breast cancer survivors in two large metropolitan areas completed standardized questionnaires as part of a survey study, including the RAND 36-item Health Survey, Center for Epidemiological Studies-Depression Scale, Breast Cancer Prevention Trial Symptom Checklist, Medical Outcomes Study Sleep Scale, and demographic and treatment-related measures. RESULTS On average, the level of fatigue reported by the breast cancer survivors surveyed (N = 1,957) was comparable to that of age-matched women in the general population, although the breast cancer survivors were somewhat more fatigued than a more demographically similar reference group. Approximately one third of the breast cancer survivors assessed reported more severe fatigue, which was associated with significantly higher levels of depression, pain, and sleep disturbance. In addition, fatigued women were more bothered by menopausal symptoms and were somewhat more likely to have received chemotherapy (with or without radiation therapy) than nonfatigued women. In multivariate analyses, depression and pain emerged as the strongest predictors of fatigue. CONCLUSION Although the majority of breast cancer survivors in this large and diverse sample did not experience heightened levels of fatigue relative to women in the general population, there was a subgroup of survivors who did report more severe and persistent fatigue. We identified characteristics of these women that may be helpful in elucidating the mechanisms underlying fatigue in this population, as well as directing intervention efforts.
Variation in Thermal Performance of a Widespread Pathogen, the Amphibian Chytrid Fungus Batrachochytrium dendrobatidis

Rates of growth and reproduction of the pathogens that cause emerging infectious diseases can be affected by local environmental conditions; these conditions can thus influence the strength and nature of disease outbreaks. An understanding of these relationships is important for understanding disease ecology and developing mitigation strategies. Widespread emergence of the fungal disease chytridiomycosis has had devastating effects on amphibian populations. The causative pathogen, Batrachochytriumdendrobatidis (Bd), is sensitive to temperature, but its thermal tolerances are not well studied. We examined the thermal responses of three Bd isolates collected across a latitudinal gradient in eastern Australia. Temperature affected all aspects of Bd growth and reproduction that we measured, in ways that often differed among Bd isolates. Aspects of growth, reproduction, and their relationships to temperature that differed among isolates included upper thermal maxima for growth (26, 27, or 28°C, depending on the isolate), relationships between zoospore production and temperature, and zoospore activity and temperature. Two isolates decreased zoospore production as temperature increased, whereas the third isolate was less fecund overall, but did not show a strong response to temperature until reaching the upper limit of its thermal tolerance. Our results show differentiation in life-history traits among isolates within Australia, suggesting that the pathogen may exhibit local adaptation. An understanding of how environmental temperatures can limit pathogens by constraining fitness will enhance our ability to assess pathogen dynamics in the field, model pathogen spread, and conduct realistic experiments on host susceptibility and disease transmission.
Does Oral Beta-Blocker Therapy Improve Long-Term Survival in ST-Segment Elevation Myocardial Infarction With Preserved Systolic Function? A Meta-Analysis

Background: The effect of oral beta-blocker therapy on long-term mortality in patients with ST-segment elevation myocardial infarction (STEMI) who are treated with primary percutaneous coronary intervention (PCI) and who have preserved left ventricular ejection fraction (LVEF) remains unclear. Methods: We searched MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials for studies evaluating the effect of oral beta-blocker therapy in patients with STEMI who underwent primary PCI and who had preserved LVEF. The primary outcome was all-cause mortality. Randomized controlled trials and the observational studies that reported an adjusted hazard ratio (or hazard ratio in the propensity score-matched patients) with follow-up duration equal to or more than 6 months were included. Pooled hazard ratio with 95% confidence interval (CI) was calculated using a random effect model. Results: No randomized controlled trials met the inclusion criteria. Seven observational studies totaling 10 857 patients met the inclusion criteria. Follow-up duration ranged from 6 months to 5.2 years. Preserved LVEF was defined as 40% in 4 studies and 50% in 3 studies. Based on the pooled estimate, oral beta-blocker therapy was associated with a reduction in all-cause mortality (combined hazard ratio 0.79, 95% CI 0.65-0.97). Conclusion: This meta-analysis demonstrates that oral beta-blocker therapy is associated with decreased all-cause mortality in patients with STEMI who are treated with primary PCI and who have preserved LVEF. This supports the current American College of Cardiology Foundation/American Heart Association 2013 Guideline for the Management of STEMI.
Balance deficits in Chronic Fatigue Syndrome with and without fibromyalgia.

OBJECTIVE Chronic Fatigue Syndrome (CFS) is a disorder of unknown etiology associated with debilitating fatigue. One symptom commonly reported is disequilibrium. The goal of this study was to determine if CFS patients demonstrated verified balance deficits and if this was effected by comorbid fibromyalgia (FM). METHODS Twenty-seven patients with CFS (12 with comorbid FM) and 22 age and gender matched controls performed posturography. RESULTS Balance scores were significantly correlated with physical functional status in the CFS group (R2 = 0.43, P < 0.001), which was not found for mental functional status (R2 = 0.06, P > 0.5). CFS patients (regardless of FM) had significantly higher anxiety subscale of the vertigo symptom scale scores. CFS patients, regardless of FM status, demonstrated significantly lower overall composite balance scores (Controls - 78.8±1.5; CFS - 69.0±1.4, P < 0.005) even when controlling for anxiety and also had worse preference scores, indicating they relied on visual information preferentially even when visual information was incorrect. Interestingly, the CFS+FM group, not CFS only, demonstrated significantly worse vestibular scores (Controls - 70.2±2.4; CFS only - 67.9±3.8; CFS with FM - 55.4±4.6, P = 0.013). INTERPRETATION The major findings are that poor balance may be associated with poorer self-reported physical health. In addition, CFS patients seemed to rely preferentially on visual inputs, regardless of whether it was correct. The finding that vestibular function may be impaired in patients with CFS+FM but not in those with CFS alone suggests that the pathophysiology of CFS+FM may differ as has been suggested by some.
On the New Element Hafnium

IN a former letter to NATURE (January 20, p. 79) we announced the discovery of a new element with atomic number 72, for which the name hafnium was proposed. Evidence was given that this element is a homologue of zirconium in accordance with theoretical expectations (Bohr, “Theory of Spectra and Atomic Constitution,” p. 114, Camb. Univ. Press, 1922). Continued experiments enable us to complete the statements in the former letter. By the addition of a known quantity of tantalum (73) to our samples, and by a comparison of the intensity of . the Ta-lines with the Hf-lines, a closer estimate of the amount of hafnium present has been obtained. We have investigated a great number of zirconium minerals from different parts of the world. They all contained between 5-10 per cent, of hafnium. In samples of commercial zirconium oxide investigated, we have found the new element, amounting in one case to as much as 5 per cent. Starting from the latter substance, by means of a chemical method which is also adapted to separate zirconium from the other tetravalent elements, we have been able to obtain several grams of a preparation in which the presence of about 50 per cent, of hafnium could be established. Conversely, we have succeeded in preparing zirconium in which no hafnium lines could be observed. Further particulars about the method of preparation and provisional determination of the atomic weight will be published shortly in the communications of the Copenhagen Academy.
An architecture of Quantum-dot cellular ROM

In today's world of digital communication, high capacity, high performance, digital information storage is a best solution to retain huge amount of information. Nanotechnology comes out to lead new digital media with high ability and high performance, where digital information is stored at nano-scale. Quantum-dot cellular automata (QCA) emerge as a one of such nanotechnology, alternative to the transistor era. In this paper an another structure of Quantum Dot Cellular Automata ROM (QCA ROM) with enable functionality has been designed and successful implemented in QCA. The proposed ROM is very simple in structure but large specifications, which enable us to store large amount of digital information per cm2.
Testing Variability in Response to a Brief Alcohol Intervention: The Role of Self-Regulation and the Therapeutic Relationship

The current study tests individual differences in response to a mandated brief motivational intervention (BMI) for college student drinking. Participants consisted of 99 (45% female) students who were referred for violating campus alcohol policy. Within-subject analyses suggest that the BMI led to a significant reduction in frequency of drinking and alcohol-related problems at the 1-month follow-up, with a nonsignificant trend in reduction of quantity of drinking and no difference in maximum level of drinking. However, there was a statistically significant amount of variability in response to the BMI across frequency, quantity, maximum, and alcohol-related problems. Individual differences in self-regulation and the strength of the therapeutic relationship were used to predict variability in change associated with participating in the intervention. Lower levels of self-regulation predicted more alcohol-related problems at 1 month following the BMI. A stronger therapeutic relationship predicted lower frequency, quantity, and maximum level of drinking at 1 month following the BMI. At the 12-month follow-up, there was a significant decay in the efficacy of the intervention, with a statistically significant amount of variability across all outcomes. Lower self-regulation was associated with more problems at 12 months. Individual differences in the therapeutic relationship were not associated with decay of efficacy between 1 and 12 months across any of the outcome variables. Results are consistent with both etiological heterogeneity and common factors models of the efficacy of psychotherapy, and extend these models to explaining outcomes of brief alcohol interventions in students mandated to treatment.
IR thermography and heat treatment of metals

In quenching the essential point is the knowledge of the temperature distribution in the body during the quenching period. In the work the mathematical model for determination of the temperature disribution and calculation of the heat transfer coefficient is given when the probe surface temperature versus time is known. The goal of the project was to find if thermography could be a successful tool in such a case for the surface temperllture measurement.
TWO‐DEGREE‐OF‐FREEDOM CONTROL SCHEME FOR PROCESSES WITH LARGE TIME DELAY

In this paper, an analytical two‐degree‐of‐freedom‐control scheme is proposed for controlling processes with large time delay. The main contributions of this paper are that a setpoint response controller and an H∞ PID load‐loop controller are developed based on optimal control theory, and control parameters are derived analytically. This structure can also be used to control integrating or unstable processes.
Common Ice Hockey Injuries and Treatment: A Current Concepts Review

Abstract Injuries are common in ice hockey, a contact sport where players skate at high speeds on a sheet of ice and shoot a vulcanized rubber puck in excess of one hundred miles per hour. This article reviews the diagnoses and treatment of concussions, injuries to the cervical spine, and lower and upper extremities as they pertain to hockey players. Soft tissue injury of the shoulder, acromioclavicular joint separation, glenohumeral joint dislocation, clavicle fractures, metacarpal fractures, and olecranon bursitis are discussed in the upper-extremity section of the article. Lower-extremity injuries reviewed in this article include adductor strain, athletic pubalgia, femoroacetabular impingement, sports hernia, medial collateral and anterior cruciate ligament tears, skate bite, and ankle sprains. This review is intended to aid the sports medicine physician in providing optimal sports-specific care to allow their athlete to return to their preinjury level of performance.