LLukas22/scidocs huggingface dataset:
Acute haematogenous community-acquired methicillin-resistant Staphylococcus aureus osteomyelitis in an adult: Case report and review of literature

BACKGROUND
Methicillin-resistant Staphylococcus aureus (MRSA) has of late emerged as a cause of community-acquired infections among immunocompetent adults without risk factors. Skin and soft tissue infections represent the majority of community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) clinical presentations, whilst invasive and life-threatening illness like necrotizing pneumonia, necrotizing fasciitis, pyomyositis, osteomyelitis and sepsis syndrome are less common. Although more widely described in the pediatric age group, the occurrence of CA-MRSA osteomyelitis in adults is an uncommonly reported entity.


CASE PRESENTATION
We describe an invasive CA-MRSA infection in a 28 year-old previously healthy male, manifesting with bacteraemia, osteomyelitis of femur, pyomyositis and septic arthritis of the knee. Initially a preliminary diagnosis of osteosarcoma was suggested by imaging studies and patient underwent a bone biopsy. MRSA was subsequently isolated from blood cultures taken on day of admission, bone, tissue and pus cultures. Incision and drainage of abscess was performed and patient was treated with vancomycin, with fusidic acid added later. It took 6 months for the inflammatory markers to normalize, warranting 6-months of anti-MRSA therapy. Patient was a fervent deer hunter and we speculate that he acquired this infection from extensive direct contact with deer.Molecular characterization of this isolate showed that it belonged to multilocus sequence type (MLST) ST30 and exhibited the staphylococcal chromosome cassette mec (SCCmec) type IV, staphylococcus protein A (spa) type t019, accessory gene regulator (agr) type III and dru type dt10m. This strain harbored Panton-Valentine leukocidin (pvl) genes together with 3 other virulent genes; sei (enterotoxin), hlg (hemolysin) and fnbA (fibronectin binding protein).


CONCLUSION
This case study alerts physicians that beyond the most commonly encountered skin and soft tissue infections, pvl positive CA-MRSA can lead to invasive life-threatening disease especially in an immunocompetent adult. Heightened alertness is needed for osteomyelitis of long bones in adults, as it is not uncommon for this disease to mimic primary bone malignancy. Cure is achievable with early appropriate antibiotics guided by inflammatory markers.
Development and validation of the Diabetes Numeracy Test (DNT)

BACKGROUND
Low literacy and numeracy skills are common. Adequate numeracy skills are crucial in the management of diabetes. Diabetes patients use numeracy skills to interpret glucose meters, administer medications, follow dietary guidelines and other tasks. Existing literacy scales may not be adequate to assess numeracy skills. This paper describes the development and psychometric properties of the Diabetes Numeracy Test (DNT), the first scale to specifically measure numeracy skills used in diabetes.


METHODS
The items of the DNT were developed by an expert panel and refined using cognitive response interviews with potential respondents. The final version of the DNT (43 items) and other relevant measures were administered to a convenience sample of 398 patients with diabetes. Internal reliability was determined by the Kuder-Richardson coefficient (KR-20). An a priori hypothetical model was developed to determine construct validity. A shortened 15-item version, the DNT15, was created through split sample analysis.


RESULTS
The DNT had excellent internal reliability (KR-20 = 0.95). The DNT was significantly correlated (p < 0.05) with education, income, literacy and math skills, and diabetes knowledge, supporting excellent construct validity. The mean score on the DNT was 61% and took an average of 33 minutes to complete. The DNT15 also had good internal reliability (KR-20 = 0.90 and 0.89). In split sample analysis, correlations of the DNT-15 with the full DNT in both sub-samples was high (rho = 0.96 and 0.97, respectively).


CONCLUSION
The DNT is a reliable and valid measure of diabetes related numeracy skills. An equally adequate but more time-efficient version of the DNT, the DNT15, can be used for research and clinical purposes to evaluate diabetes related numeracy.
National Hospital Ambulatory Medical Care Survey: 2000 outpatient department summary.

OBJECTIVES
This report describes ambulatory care visits to hospital outpatient departments (OPDs) in the United States. Statistics are presented on selected hospital, clinic, patient, and visit characteristics. Highlights of trends in OPD utilization from 1997 through 2000 are also presented.


METHODS
The data presented in this report were collected from the 2000 National Hospital Ambulatory Medical Care Survey (NHAMCS). NHAMCS is part of the ambulatory care component of the National Health Care Survey that measures health care utilization across various types of providers. NHAMCS is a national probability sample survey of visits to emergency and outpatient departments of non-Federal, short-stay, and general hospitals in the United States. Sample data are weighted to produce annual national estimates. Trends are based on NHAMCS data from 1997 through 2000.


RESULTS
During 2000, an estimated 83.3 million visits were made to hospital OPDs in the United States, about 30.4 visits per 100 persons. Females had higher OPD visit rates than males (35.3 versus 25.2 visits per 100 persons). The OPD utilization rate for black persons was higher than for white persons (48.3 versus 28.0 visits per 100 persons). Of all visits made to hospital OPDs in 2000, private insurance (38.5 percent), Medicaid (22.1 percent), and Medicare (16.9 percent) were listed as the leading primary expected source of payment. Approximately 21 percent of OPD visits reported that patients belonged to an HMO. There were an estimated 9.5 million injury-related OPD visits in 2000. Since 1997, the percent of OPD visits that were for injuries increased by 24% (from 9.2 percent to 1.4 percent). Most of these visits were for unintentional injuries (57.6 percent), including those caused by falls (12.9 percent). Medications were prescribed at 64.0 percent of visits. On average, 1.6 medications were ordered at each OPD visit. In 2000, patients saw one or more physicians (i.e., staff physician, resident/intern, or other physician) at approximately 79 percent of visits. Most patients were given an appointment to return to the clinic (57.2 percent).
Robot-assisted gait training improves brachial–ankle pulse wave velocity and peak aerobic capacity in subacute stroke patients with totally dependent ambulation

OBJECTIVE
Brachial-ankle pulse wave velocity (baPWV) evaluates arterial stiffness and also predicts early outcome in stroke patients. The objectives of this study were to investigate arterial stiffness of subacute nonfunctional ambulatory stroke patients and to compare the effects of robot-assisted gait therapy (RAGT) combined with rehabilitation therapy (RT) on arterial stiffness and functional recovery with those of RT alone.


METHOD
The RAGT group (N = 30) received 30 minutes of robot-assisted gait therapy and 30 minutes of conventional RT, and the control group (N = 26) received 60 minutes of RT, 5 times a week for 4 weeks. baPWV was measured and calculated using an automated device. The patients also performed a symptom-limited graded exercise stress test using a bicycle ergometer, and parameters of cardiopulmonary fitness were recorded. Clinical outcome measures were categorized into 4 categories: activities of daily living, balance, ambulatory function, and paretic leg motor function and were evaluated before and after the 4-week intervention.


RESULTS
Both groups exhibited significant functional recovery in all clinical outcome measures after the 4-week intervention. However, peak aerobic capacity, peak heart rate, exercise tolerance test duration, and baPWV improved only in the RAGT group, and the improvements in baPWV and peak aerobic capacity were more noticeable in the RAGT group than in the control group.


CONCLUSION
Robot-assisted gait therapy combined with conventional rehabilitation therapy represents an effective method for reversing arterial stiffness and improving peak aerobic capacity in subacute stroke patients with totally dependent ambulation. However, further large-scale studies with longer term follow-up periods are warranted to measure the effects of RAGT on secondary prevention after stroke.
Design of a user anonymous password authentication scheme without smart card

Department of Mathematics, Agra College, Dr. B. R. A. University, Agra, 282002, Uttar Pradesh, India Center of Excellence in Information Assurance, King Saud University, Riyadh, Kingdom of Saudi Arabia School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China Department of Computer Science and Engineering, Xiamen Institute of Technology, Huaqiao University, Xiamen, 361021, China
Transatlantic Manners: Social Patterns in Nineteenth-Century Anglo-American Travel Literature

List of illustrations and sources Preface Introduction: 1. The Anglo-American traveller Part I. American Society: 2. Merchant society 3. Planter society 4. Western man 5. American woman 6. The slave 7. The uniformity of American life Part II. English Society: 8. The English gentleman 9. The aristocracy 10. The social hierarchy 11. Servants 12. The poor 13. The narrowness of English life Conclusion: 14. An Anglo-Saxon light Notes Bibliography Index.
Parameter identifiability for multi-zone building models

Model-based control strategies are widely advocated to improve the energy efficiency of building systems but they require accurate dynamic building models, which are often difficult to obtain in practice. While modeling a multi-zone lab for model-based control, we observed that the experimental data often does not have sufficient quality for system identification. To address this problem, we propose a Building Data-Dependent Identifcation (BDDI) algorithm to calculate the numerical identifiability for high-order RC models. The algorithm is a closed-loop “active identification” architecture that dynamically improves experimental design for better data quality. We conclude that the experimental conditions needed for accurate identification of building systems fall outside normal building operation. Therefore, systematic design of experiments with minimal disturbances (such as occupancy) are necessary to reliably model building dynamics.
Time delay from onset to diagnosis of migraine.

OBJECTIVE
To investigate the factors involved in the delayed diagnosis of migraine without aura among patients attending a tertiary center for headache diagnosis and management.


METHODS
Two hundred consecutive patients were divided into 3 groups according to the time elapsed from the first clinical manifestations and the diagnosis of migraine at our center.


RESULTS
The interval was <1 year in 16.5% of patients (n = 33); from 1 to 5 years in 30% (n = 60); and >5 years in 53.5% (n = 107). Younger age at migraine onset and a lower level of education were significantly associated with a longer time to diagnosis (P = .01 and P = .0001, respectively). Longer delays were significantly associated with a larger number of specialists consulted (P < .05).


CONCLUSION
Our findings suggest an insufficient awareness of the diagnostic criteria of migraine by non-specialist physicians, who often prescribe expensive and unnecessary diagnostic investigations that do not alleviate patients' symptoms while wasting health care resources.
Consumer Decision-making Processes in Mobile Viral Marketing Campaigns

The high penetration of cell phones in today's global environment offers a wide range of promising mobile marketing activities, including mobile viral marketing campaigns. However, the success of these campaigns, which remains unexplored, depends on the consumers' willingness to actively forward the advertisements that they receive to acquaintances, e.g., to make mobile referrals. Therefore, it is important to identify and understand the factors that influence consumer referral behavior via mobile devices. The authors analyze a three-stage model of consumer referral behavior via mobile devices in a field study of a firm-created mobile viral marketing campaign. The findings suggest that consumers who place high importance on the purposive value and entertainment value of a message are likely to enter the interest and referral stages. Accounting for consumers' egocentric social networks, we find that tie strength has a negative influence on the reading and decision to refer stages and that degree centrality has no influence on the decision-making process. © 2013 Direct Marketing Educational Foundation, Inc. Published by Elsevier Inc. All rights reserved.
DeepFont: Identify Your Font from An Image

As font is one of the core design concepts, automatic font identification and similar font suggestion from an image or photo has been on the wish list of many designers. We study the Visual Font Recognition (VFR) problem [4] LFE, and advance the state-of-the-art remarkably by developing the DeepFont system. First of all, we build up the first available large-scale VFR dataset, named AdobeVFR, consisting of both labeled synthetic data and partially labeled real-world data. Next, to combat the domain mismatch between available training and testing data, we introduce a Convolutional Neural Network (CNN) decomposition approach, using a domain adaptation technique based on a Stacked Convolutional Auto-Encoder (SCAE) that exploits a large corpus of unlabeled real-world text images combined with synthetic data preprocessed in a specific way. Moreover, we study a novel learning-based model compression approach, in order to reduce the DeepFont model size without sacrificing its performance. The DeepFont system achieves an accuracy of higher than 80% (top-5) on our collected dataset, and also produces a good font similarity measure for font selection and suggestion. We also achieve around 6 times compression of the model without any visible loss of recognition accuracy.
Antigen expression of human eccrine sweat glands.

BACKGROUND
The proliferating abilities of sweat glands are very limited, so researches on the repair and regeneration of sweat glands are important. First of all, we must find out reliable and specific antigen markers of sweat glands.


OBJECTIVE
To investigate the antigen expression of human eccrine sweat glands.


METHODS
The development of eccrine sweat glands was investigated by hematoxylin and eosin staining, and the antigen expression was detected by immunohistochemical techniques.


RESULTS
Human eccrine sweat glands expressed cytokeratin (CK) 7, CK8, CK14, CK18, CK19 and epithelial membrane antigen (EMA). Carcinoembryonic antigen (CEA) was only expressed in sweat glands in the adult skin. Developing and developed sweat glands all had some cells expressing Ki67 and p63 antigens. Epidermal growth factor (EGF) was mainly localized in the secretory cells and ductal cells. Some myoepithelial cells were also labeled with anti-EGF antibody. In the older fetus, positive staining for EGF was seen in the lumen of the secretory portion. EGF receptor (EGFR) was expressed in the ducts.


CONCLUSIONS
Human eccrine sweat glands express CK7, CK8, CK14, CK18, CK19, CEA, EMA, Ki67, p63, EGF and EGFR. In skin, CEA can be used as a specific immunological marker of sweat glands.
Meaningful change and responsiveness in common physical performance measures in older adults.

OBJECTIVES
To estimate the magnitude of small meaningful and substantial individual change in physical performance measures and evaluate their responsiveness.


DESIGN
Secondary data analyses using distribution- and anchor-based methods to determine meaningful change.


SETTING
Secondary analysis of data from an observational study and clinical trials of community-dwelling older people and subacute stroke survivors.


PARTICIPANTS
Older adults with mobility disabilities in a strength training trial (n=100), subacute stroke survivors in an intervention trial (n=100), and a prospective cohort of community-dwelling older people (n=492).


MEASUREMENTS
Gait speed, Short Physical Performance Battery (SPPB), 6-minute-walk distance (6MWD), and self-reported mobility.


RESULTS
Most small meaningful change estimates ranged from 0.04 to 0.06 m/s for gait speed, 0.27 to 0.55 points for SPPB, and 19 to 22 m for 6MWD. Most substantial change estimates ranged from 0.08 to 0.14 m/s for gait speed, 0.99 to 1.34 points for SPPB, and 47 to 49 m for 6MWD. Based on responsiveness indices, per-group sample sizes for clinical trials ranged from 13 to 42 for substantial change and 71 to 161 for small meaningful change.


CONCLUSION
Best initial estimates of small meaningful change are near 0.05 m/s for gait speed, 0.5 points for SPPB, and 20 m for 6MWD and of substantial change are near 0.10 m/s for gait speed, 1.0 point for SPPB, and 50 m for 6MWD. For clinical use, substantial change in these measures and small change in gait speed and 6MWD, but not SPPB, are detectable. For research use, these measures yield feasible sample sizes for detecting meaningful change.
Do Bedside Visual Tools Improve Patient and Caregiver Satisfaction? A Systematic Review of the Literature.

BACKGROUND
Although common, the impact of low-cost bedside visual tools, such as whiteboards, on patient care is unclear.


PURPOSE
To systematically review the literature and assess the influence of bedside visual tools on patient satisfaction.


DATA SOURCES
Medline, Embase, SCOPUS, Web of Science, CINAHL, and CENTRAL.


DATA EXTRACTION
Studies of adult or pediatric hospitalized patients reporting physician identification, understanding of provider roles, patient-provider communication, and satisfaction with care from the use of visual tools were included. Outcomes were categorized as positive, negative, or neutral based on survey responses for identification, communication, and satisfaction. Two reviewers screened studies, extracted data, and assessed the risk of study bias.


DATA SYNTHESIS
Sixteen studies met the inclusion criteria. Visual tools included whiteboards (n = 4), physician pictures (n = 7), whiteboard and picture (n = 1), electronic medical record-based patient portals (n = 3), and formatted notepads (n = 1). Tools improved patients' identification of providers (13/13 studies). The impact on understanding the providers' roles was largely positive (8/10 studies). Visual tools improved patient-provider communication (4/5 studies) and satisfaction (6/8 studies). In adults, satisfaction varied between positive with the use of whiteboards (2/5 studies) and neutral with pictures (1/5 studies). Satisfaction related to pictures in pediatric patients was either positive (1/3 studies) or neutral (1/3 studies). Differences in tool format (individual pictures vs handouts with pictures of all providers) and study design (randomized vs cohort) may explain variable outcomes.


CONCLUSION
The use of bedside visual tools appears to improve patient recognition of providers and patient-provider communication. Future studies that include better design and outcome assessment are necessary before widespread use can be recommended.
Influence of Software Tool and Methodological Aspects of Total Metabolic Tumor Volume Calculation on Baseline [18F]FDG PET to Predict Survival in Hodgkin Lymphoma

AIM
To investigate the respective influence of software tool and total metabolic tumor volume (TMTV0) calculation method on prognostic stratification of baseline 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography ([18F]FDG-PET) in newly diagnosed Hodgkin lymphoma (HL).


METHODS
59 patients with newly diagnosed HL were retrospectively included. [18F]FDG-PET was performed before any treatment. Four sets of TMTV0 were calculated with Beth Israel (BI) software: based on an absolute threshold selecting voxel with standardized uptake value (SUV) >2.5 (TMTV02.5), applying a per-lesion threshold of 41% of the SUV max (TMTV041) and using a per-patient adapted threshold based on SUV max of the liver (>125% and >140% of SUV max of the liver background; TMTV0125 and TMTV0140). TMTV041 was also determined with commercial software for comparison of software tools. ROC curves were used to determine the optimal threshold for each TMTV0 to predict treatment failure.


RESULTS
Median follow-up was 39 months. There was an excellent correlation between TMTV041 determined with BI and with the commercial software (r = 0.96, p<0.0001). The median TMTV0 value for TMTV041, TMTV02.5, TMTV0125 and TMTV0140 were respectively 160 (used as reference), 210 ([28;154] p = 0.005), 183 ([-4;114] p = 0.06) and 143 ml ([-58;64] p = 0.9). The respective optimal TMTV0 threshold and area under curve (AUC) for prediction of progression free survival (PFS) were respectively: 313 ml and 0.70, 432 ml and 0.68, 450 ml and 0.68, 330 ml and 0.68. There was no significant difference between ROC curves. High TMTV0 value was predictive of poor PFS in all methodologies: 4-years PFS was 83% vs 42% (p = 0.006) for TMTV02.5, 83% vs 41% (p = 0.003) for TMTV041, 85% vs 40% (p<0.001) for TMTV0125 and 83% vs 42% (p = 0.004) for TMTV0140.


CONCLUSION
In newly diagnosed HL, baseline metabolic tumor volume values were significantly influenced by the choice of the method used for determination of volume. However, no significant differences were found in term of prognosis.
Pretreatment Lifestyle Behaviors as Survival Predictors for Patients with Nasopharyngeal Carcinoma

BACKGROUND
Lifestyle behaviors have been widely reported to influence the survival of patients with head and neck cancer. However, the relationship between pretreatment lifestyle behaviors and survival among patients with nasopharyngeal carcinoma (NPC) is unclear.


METHODS
A prospective cohort study was designed to determine the relationship between lifestyle behaviors and survival in 1,533 NPC patients recruited from October 2005 to October 2007. Pretreatment lifestyle behaviors (such as body-mass index [BMI], smoking, alcohol, diet) of the patients were investigated. Univariate and multivariate proportional-hazards models were used to assess the impact of lifestyle behaviors on patient survival.


RESULTS
Smoking was a predictor of survival; both current smokers (hazard ratio [HR] = 1.88; 95% CI, 1.33 to 2.65) and heavy smokers (≥ 25 Pack-years; HR = 1.84; 95% CI, 1.30 to 2.60) showed associations with poor survival. Higher BMI was significantly associated with a lower risk of death (P(trend) = 0.002). Compared with under/normal-weight patients (BMI less than 22.99 kg/m(2)), the multivariate HR for survival was 0.66 (95% CI, 0.48 to 0.90) and 0.47 (95% CI, 0.23 to 0.97) for overweight and obese patients, respectively. No alcohol intake and high fruit intake were associated with favorable survival in the univariate analysis but lost significance in the multivariate model.


CONCLUSION
Our findings indicate that pretreatment lifestyle behaviors, especially smoking status and BMI, as easily available data, provide prognostic value for survival in NPC patients.