LLukas22/scidocs huggingface dataset:
The effect of yoga exercise on improving depression, anxiety, and fatigue in women with breast cancer: a randomized controlled trial.

BACKGROUND
Depression, anxiety, and fatigue are among the most significant problems that influence the quality of life of patients with breast cancer who receive adjuvant chemotherapy. Although evidence has shown yoga to decrease anxiety, depression, and fatigue in patients with cancer, few studies on the effects of yoga have targeted patients with breast cancer. Yoga interventions should be tested to promote the psychological and physical health of women with breast cancer.


PURPOSE
This study examines the effectiveness of an 8-week yoga exercise program in promoting the psychological and physical health of women with breast cancer undergoing adjuvant chemotherapy in terms of depression, anxiety, and fatigue.


METHODS
A sample of 60 women with nonmetastatic breast cancer was recruited. Participants were randomly assigned into either the experimental group (n = 30) or the control group (n = 30). A 60-minute, twice-per-week yoga exercise was implemented for 8 weeks as the intervention for the participants in the experimental group. The control group received standard care only.


RESULTS
Analysis using the Johnson-Neyman procedure found that the yoga exercise reduced overall fatigue and the interference of fatigue in everyday life for the experimental group participants. Significant reductions were obtained after 4 weeks of intervention participation for those experimental group patients with relatively low starting baseline values (baseline item mean value < 3.31 and 3.22, respectively) and after 8 weeks for most patients (approximately 75%) with moderate starting baseline values (baseline item mean value < 7.30 and 5.34, respectively). The 8-week intervention did not significantly improve the levels of depression (F = 1.29, p > .05) or anxiety (F = 2.7, p > .05).


CONCLUSIONS/IMPLICATIONS FOR PRACTICE
The 8-week yoga exercise program developed in this study effectively reduced fatigue in patients with breast cancer but did not reduce depression or anxiety. Oncology nurses should strengthen their clinical health education and apply yoga to reduce the fatigue experienced by patients with breast cancer who undergo adjuvant chemotherapy.
Learning Historical and Cultural Contents via Mobile Treasure Hunting in Five-Harbor District of Tainan, Taiwan

Traditional formal education asks students studying in classroom and listening to teacher’s lecturing. Recent years, teachers are taking students out from the classroom and doing field trip for learning history and cultural contents. Students can benefit from situated learning theory by interacting with the historical objects, local people, and cultural atmosphere. This research combines treasure hunting and mobile phone together to create a mobile treasure hunting learning situation for students learning historical and cultural contents during the field trip. In this mobile treasure hunting learning model, students act as hunters who can get hints through their mobile phones to find the treasures -- the knowledge of historical and cultural contents. The mobile phones provide students not only display interface of treasure hunting maps and clues, but also position locator and treasure collector. In the experiment that eighteen elementary school students (5th Grade) learning in five-harbor district of Tainan, Taiwan.
Indwelling urinary catheter management and catheter-associated urinary tract infection prevention practices in Nurses Improving Care for Healthsystem Elders hospitals.

BACKGROUND
Indwelling urinary catheters (IUCs) are commonly used in hospitalized patients, especially elders. Catheter-associated urinary tract infections (CAUTIs) account for 34% of all health care associated infections in the United States, associated with excess morbidity and health care costs. Adherence to CAUTI prevention practices has not been well described.


METHODS
This study used an electronic survey to examine IUC care practices for CAUTI prevention in 3 areas-(1) equipment and alternatives and insertion and maintenance techniques; (2) personnel, policies, training, and education; and (3) documentation, surveillance, and removal reminders-at 75 acute care hospitals in the Nurses Improving the Care of Healthsystem Elders (NICHE) system.


RESULTS
CAUTI prevention practices commonly followed included wearing gloves (97%), handwashing (89%), maintaining a sterile barrier (81%), and using a no-touch insertion technique (73%). Silver-coated catheters were used to varying degrees in 59% of the hospitals; 4% reported never using a catheter-securing device. Urethral meatal care was provided daily by 43% of hospitals and more frequently that that by 41% of hospitals. Nurses were the most frequently reported IUC inserters. Training in aseptic technique and CAUTI prevention at the time of initial nursing hire was provided by 64% of hospitals; however, only 47% annually validated competency in IUC insertion. Systems for IUC removal were implemented in 56% of hospitals. IUC documentation and routine CAUTI surveillance practices varied widely.


CONCLUSIONS
Although many CAUTI prevention practices at NICHE hospitals are in alignment with evidence-based guidelines, there is room for improvement. Further research is needed to identify the effect of enhanced compliance with CAUTI prevention practices on the prevalence of CAUTI in NICHE hospitals.
Comparison of diagnostic value using a small, single channel, P-wave centric sternal ECG monitoring patch with a standard 3-lead Holter system over 24 hours.

BACKGROUND
To compare simultaneous recordings from an external patch system specifically designed to ensure better P-wave recordings and standard Holter monitor to determine diagnostic efficacy. Holter monitors are a mainstay of clinical practice, but are cumbersome to access and wear and P-wave signal quality is frequently inadequate.


METHODS
This study compared the diagnostic efficacy of the P-wave centric electrocardiogram (ECG) patch (Carnation Ambulatory Monitor) to standard 3-channel (leads V1, II, and V5) Holter monitor (Northeast Monitoring, Maynard, MA). Patients were referred to a hospital Holter clinic for standard clinical indications. Each patient wore both devices simultaneously and served as their own control. Holter and Patch reports were read in a blinded fashion by experienced electrophysiologists unaware of the findings in the other corresponding ECG recording. All patients, technicians, and physicians completed a questionnaire on comfort and ease of use, and potential complications.


RESULTS
In all 50 patients, the P-wave centric patch recording system identified rhythms in 23 patients (46%) that altered management, compared to 6 Holter patients (12%), P<.001. The patch ECG intervals PR, QRS and QT correlated well with the Holter ECG intervals having correlation coefficients of 0.93, 0.86, and 0.94, respectively. Finally, 48 patients (96%) preferred wearing the patch monitor.


CONCLUSIONS
A single-channel ambulatory patch ECG monitor, designed specifically to ensure that the P-wave component of the ECG be visible, resulted in a significantly improved rhythm diagnosis and avoided inaccurate diagnoses made by the standard 3-channel Holter monitor.
Cavity QED with a Bose–Einstein condensate

Cavity quantum electrodynamics (cavity QED) describes the coherent interaction between matter and an electromagnetic field confined within a resonator structure, and is providing a useful platform for developing concepts in quantum information processing. By using high-quality resonators, a strong coupling regime can be reached experimentally in which atoms coherently exchange a photon with a single light-field mode many times before dissipation sets in. This has led to fundamental studies with both microwave and optical resonators. To meet the challenges posed by quantum state engineering and quantum information processing, recent experiments have focused on laser cooling and trapping of atoms inside an optical cavity. However, the tremendous degree of control over atomic gases achieved with Bose–Einstein condensation has so far not been used for cavity QED. Here we achieve the strong coupling of a Bose–Einstein condensate to the quantized field of an ultrahigh-finesse optical cavity and present a measurement of its eigenenergy spectrum. This is a conceptually new regime of cavity QED, in which all atoms occupy a single mode of a matter-wave field and couple identically to the light field, sharing a single excitation. This opens possibilities ranging from quantum communication to a wealth of new phenomena that can be expected in the many-body physics of quantum gases with cavity-mediated interactions.
Query-by-example Spoken Term Detection For OOV terms

The goal of Spoken Term Detection (STD) technology is to allow open vocabulary search over large collections of speech content. In this paper, we address cases where search term(s) of interest (queries) are acoustic examples. This is provided either by identifying a region of interest in a speech stream or by speaking the query term. Queries often relate to named-entities and foreign words, which typically have poor coverage in the vocabulary of Large Vocabulary Continuous Speech Recognition (LVCSR) systems. Throughout this paper, we focus on query-by-example search for such out-of-vocabulary (OOV) query terms. We build upon a finite state transducer (FST) based search and indexing system [1] to address the query by example search for OOV terms by representing both the query and the index as phonetic lattices from the output of an LVCSR system. We provide results comparing different representations and generation mechanisms for both queries and indexes built with word and combined word and subword units [2]. We also present a two-pass method which uses query-by-example search using the best hit identified in an initial pass to augment the STD search results. The results demonstrate that query-by-example search can yield a significantly better performance, measured using Actual Term-Weighted Value (ATWV), of 0.479 when compared to a baseline ATWV of 0.325 that uses reference pronunciations for OOVs. Further improvements can be obtained with the proposed two pass approach and filtering using the expected unigram counts from the LVCSR system's lexicon.
Identifying patients, on the first day of life, at high-risk of developing parenteral nutrition-associated liver disease

Background:Prolonged use of parenteral nutrition (PN) in neonates can lead to parenteral nutrition-associated liver disease (PNALD), manifested by elevated direct bilirubin concentrations, and in some cases progressing to hepatic failure. When new potential means of preventing PNALD in the neonatal intensive care unit (NICU), such as Omegaven usage, are tested in clinical trials, the studies should enroll neonates at a very high risk of developing PNALD. However, it is not always clear, in the first days of life, which neonates are most likely to develop PNALD. Therefore, preparatory to devising studies of prophylaxis against PNALD, we conducted an evaluation of all NICU patients who received PN for ⩾14 day, assessing their likelihood of developing PNALD.Methods:We performed an historic cohort analysis of all neonates in the Intermountain Healthcare system, receiving PN for 14 days or more during their stay, with dates of birth between 1 January, 2002 and 30 June, 2006.Results:During the 4½-year period, 9861 neonates were cared for in the Intermountain Healthcare NICUs. Of these, 9547 (96.8%) survived for at least 28 days, and of these 6543 (68.5%) received PN. Twenty-one percent (1366 patients) of those receiving PN, received it for ⩾14 days. PNALD was ascertained in this group by a direct bilirubin ⩾2.0 mg/dl. Neonates receiving PN for 14–28 days had a 14% incidence of PNALD, those receiving PN for 29–56 days had a 43% incidence, those receiving PN for 57–100 days had a 72% incidence and those receiving PN for >100 days had a 85% incidence. Groups of patients identifiable on the first day of life as having the highest risk of developing PNALD were birth weight <500 g (odds ratio (OR), 30.7), birth weight 500–749 g (OR, 13.1), gastrochisis (OR, 20.3) and jejunal atresia (OR, 24.0). Among 357 patients who developed PNALD, the highest direct bilirubin concentrations correlated with the highest serum alkaline phosphatase and transaminase concentrations. Deaths after 28 days were much more common in those with the highest direct bilirubin and transaminase concentrations (P<0.0001).Conclusions:In the first days of life, certain NICU patients can be identified as being at very high risk for developing PNALD. These are patients <750 g birth weight, those with gastrochisis and those with jejunal atresia. We speculate that these groups would be reasonable subjects for including in a PNALD prophylaxis trial, testing new preventative strategies such as Omegaven usage.
Triejoin: A Simple, Worst-Case Optimal Join Algorithm

Recent years have seen exciting developments in join algorithms. In 2008, Atserias, Grohe and Marx (henceforth AGM) proved a tight bound on the maximum result size of a full conjunctive query, given constraints on the input rel ation sizes. In 2012, Ngo, Porat, R «e and Rudra (henceforth NPRR) devised a join algorithm with worst-case running time proportional to the AGM bound [8]. Our commercial database system LogicBlox employs a novel join algorithm, leapfrog triejoin, which compared conspicuously well to the NPRR algorithm in preliminary benchmarks. This spurred us to analyze the complexity of leapfrog triejoin. In this pa per we establish that leapfrog triejoin is also worst-case o ptimal, up to a log factor, in the sense of NPRR. We improve on the results of NPRR by proving that leapfrog triejoin achieves worst-case optimality for finer-grained classes o f database instances, such as those defined by constraints on projection cardinalities. We show that NPRR is not worstcase optimal for such classes, giving a counterexamplewher e leapfrog triejoin runs inO(n log n) time and NPRR runs in Θ(n) time. On a practical note, leapfrog triejoin can be implemented using conventional data structures such as B-trees, and extends naturally to ∃1 queries. We believe our algorithm offers a useful addition to the existing toolbox o f join algorithms, being easy to absorb, simple to implement, and having a concise optimality proof.
The Successful Diffusion of Innovations: Guidance for Software Development Organizations

0 7 4 0 7 4 5 9 / 0 0 / $ 1 0 . 0 0 © 2 0 0 0 I E E E abandoned. Researchers have noted this issue’s importance in studies on Computer Aided Software Engineering tools1–3 and on object-oriented,4 user-centered,5 and formal development techniques.6 Here, we focus on why this happens—and how we can prevent it. Our motivation is to better understand the phenomenon of innovative information technology diffusion so that we can better inform software development managers on how to ensure the successful use and diffusion of beneficial software development techniques in their organizations. Solutions to the problems of software development must include the human (peopleware and good management practices) as well as technical dimensions. Thus, a basic premise is that an effective strategy for IT diffusion must integrate technical research in software engineering with relevant behavioral research in the information systems field. A large body of research on the diffusion and use of IT in organizations exists. Here, we expand the concept of IT to include software development techniques that can be innovations to the community of software developers. Thus, we can study software development practices under the guidance of well-established organizational theory. We hope to integrate behavioral IS research on IT diffusion with software engineering research on it by developing a comprehensive research model.
Clinical Value of Prognosis Gene Expression Signatures in Colorectal Cancer: A Systematic Review

INTRODUCTION
The traditional staging system is inadequate to identify those patients with stage II colorectal cancer (CRC) at high risk of recurrence or with stage III CRC at low risk. A number of gene expression signatures to predict CRC prognosis have been proposed, but none is routinely used in the clinic. The aim of this work was to assess the prediction ability and potential clinical usefulness of these signatures in a series of independent datasets.


METHODS
A literature review identified 31 gene expression signatures that used gene expression data to predict prognosis in CRC tissue. The search was based on the PubMed database and was restricted to papers published from January 2004 to December 2011. Eleven CRC gene expression datasets with outcome information were identified and downloaded from public repositories. Random Forest classifier was used to build predictors from the gene lists. Matthews correlation coefficient was chosen as a measure of classification accuracy and its associated p-value was used to assess association with prognosis. For clinical usefulness evaluation, positive and negative post-tests probabilities were computed in stage II and III samples.


RESULTS
Five gene signatures showed significant association with prognosis and provided reasonable prediction accuracy in their own training datasets. Nevertheless, all signatures showed low reproducibility in independent data. Stratified analyses by stage or microsatellite instability status showed significant association but limited discrimination ability, especially in stage II tumors. From a clinical perspective, the most predictive signatures showed a minor but significant improvement over the classical staging system.


CONCLUSIONS
The published signatures show low prediction accuracy but moderate clinical usefulness. Although gene expression data may inform prognosis, better strategies for signature validation are needed to encourage their widespread use in the clinic.
Methods for Task Allocation via Agent Coalition Formation

Task execution in multi-agent environments may require cooperation among agents. Given a set of agents and a set of tasks which they have to satisfy, we consider situations where each task should be attached to a group of agents that will perform the task. Task allocation to groups of agents is necessary when tasks cannot be performed by a single agent. However it may also be beneficial when groups perform more efficiently with respect to the single agents’ performance. In this paper we present several solutions to the problem of task allocation among autonomous agents, and suggest that the agents form coalitions in order to perform tasks or improve the efficiency of their performance. We present efficient distributed algorithms with low ratio bounds and with low computational complexities. These properties are proven theoretically and supported by simulations and an implementation in an agent system. Our methods are based on both the algorithmic aspects of combinatorics and approximation algorithms for NP-hard problems. We first present an approach to agent coalition formation where each agent must be a member of only one coalition. Next, we present the domain of overlapping coalitions. We proceed with a discussion of the domain where tasks may have a precedence order. Finally, we discuss the case of implementation in an open, dynamic agent system. For each case we provide an algorithm that will lead agents to the formation of coalitions, where each coalition is assigned a task. Our algorithms are any-time algorithms, they are simple, efficient and easy to implement.  1998 Published by Elsevier Science B.V. All rights reserved.
Head Trauma in Mixed Martial Arts.

BACKGROUND
Mixed martial arts (MMA) is a full combative sport with a recent global increase in popularity despite significant scrutiny from medical associations. To date, the empirical research of the risk of head injuries associated with this sport is limited. Youth and amateur participation is growing, warranting investigation into the burden and mechanism of injuries associated with this sport.


PURPOSE
(1) To determine the incidence, risk factors, and characteristics of knockouts (KOs) and technical knockouts (TKOs) from repetitive strikes in professional MMA; and (2) to identify the mechanisms of head trauma and the situational factors that lead to KOs and TKOs secondary to repetitive strikes through video analysis.


STUDY DESIGN
Descriptive epidemiology study.


METHODS
Competition data and video records for all KOs and TKOs from numbered Ultimate Fighting Championship MMA events (n = 844) between 2006 to 2012. Analyses included (1) multivariate logistic regression to investigate factors associated with an increased risk of sustaining a KO or TKO secondary to repetitive strikes and (2) video analysis of all KOs and TKOs secondary to repetitive strikes with descriptive statistics.


RESULTS
During the study period, the KO rate was 6.4 per 100 athlete-exposures (AEs) (12.7% of matches), and the rate of TKOs secondary to repetitive strikes was 9.5 per 100 AEs (19.1% of matches), for a combined incidence of match-ending head trauma of 15.9 per 100 AEs (31.9% of matches). Logistic regression identified that weight class, earlier time in a round, earlier round in a match, and older age were risk factors for both KOs and TKOs secondary to repetitive strikes. Match significance and previously sustained KOs or TKOs were also risk factors for KOs. Video analysis identified that all KOs were the result of direct impact to the head, most frequently a strike to the mandibular region (53.9%). The average time between the KO-strike and match stoppage was 3.5 seconds (range, 0-20 seconds), with losers sustaining an average of 2.6 additional strikes (range, 0-20 strikes) to the head. For TKOs secondary to strikes, in the 30-second interval immediately preceding match stoppage, losers sustained, on average, 18.5 strikes (range, 5-46 strikes), with 92.3% of these being strikes to the head.


CONCLUSION
Rates of KOs and TKOs in MMA are higher than previously reported rates in other combative and contact sports. Public health authorities and physicians should be cognizant of the rates and mechanisms of head trauma. Preventive measures to lessen the risks of head trauma for those who elect to participate in MMA are described.
Partial Discharge Pattern Characteristic of HV Cable Joints with Typical Artificial Defect

Insulation failure of XLPE cable system, particularly in joints and terminations, mostly attributes to local defects resulted from inadequate manufacturing or poor installation workmanship. Since it is well-acknowledged that partial discharge (PD) has a relationship with the discharge source (fault or defect), PD detection and pattern recognition have been widely accepted as a means to provide information on both the type and severity of defects or potential failures, which is further expected to give advice on repair or replacement of cable accessories. This paper presents a laboratory experiment on 110kV XLPE cable joints with artificial typical defects and their partial discharge pattern characteristic. PD patterns and statistical operators of these defects shows dissimilarity, which can be utilized as samples for further on-site PD pattern recognition. Keywords-HV cable; partial discharge; pattern recogniton