LLukas22/scidocs huggingface dataset:
Gene expression analysis of dendritic/Langerhans cells and Langerhans cell histiocytosis.

Langerhans cell histiocytosis (LCH) is a neoplastic disorder that results in clonal proliferation of cells with a Langerhans cell (LC) phenotype. The pathogenesis of LCH is still poorly understood. In the present study, serial analysis of gene expression (SAGE) was applied to LCs generated from umbilical cord blood CD34+ progenitor cells to identify LC-specific genes and the expression of these genes in LCH was investigated. Besides the expression of several genes known to be highly expressed in LCs and LCH such as CD1a, LYZ, and CD207, high expression of genes not previously reported to be expressed in LCs, such as GSN, MMP12, CCL17, and CCL22, was also identified. Further analysis of these genes by quantitative RT-PCR revealed high expression of FSCN1 and GSN in all 12 LCH cases analysed; of CD207, MMP12, CCL22, and CD1a in the majority of these cases; and CCL17 in three of the 12 cases. Immunohistochemistry confirmed protein expression in the majority of cases. The expression of MMP12 was most abundant in multi-system LCH, which is the LCH type with the worst prognosis. This suggests that expression of MMP12 may play a role in the progression of LCH. These data reveal new insight into the pathology of LCH and provide new starting points for further investigation of this clonal proliferative disorder.
Lower protein content in infant formula reduces BMI and obesity risk at school age: follow-up of a randomized trial.

BACKGROUND
Early nutrition is recognized as a target for the effective prevention of childhood obesity. Protein intake was associated with more rapid weight gain during infancy-a known risk factor for later obesity.


OBJECTIVE
We tested whether the reduction of protein in infant formula reduces body mass index (BMI; in kg/m(2)) and the prevalence of obesity at 6 y of age.


DESIGN
The Childhood Obesity Project was conducted as a European multicenter, double-blind, randomized clinical trial that enrolled healthy infants born between October 2002 and July 2004. Formula-fed infants (n = 1090) were randomly assigned to receive higher protein (HP)- or lower protein (LP)-content formula (within recommended amounts) in the first year of life; breastfed infants (n = 588) were enrolled as an observational reference group. We measured the weight and height of 448 (41%) formula-fed children at 6 y of age. BMI was the primary outcome.


RESULTS
HP children had a significantly higher BMI (by 0.51; 95% CI: 0.13, 0.90; P = 0.009) at 6 y of age. The risk of becoming obese in the HP group was 2.43 (95% CI: 1.12, 5.27; P = 0.024) times that in the LP group. There was a tendency for a higher weight in HP children (0.67 kg; 95% CI: -0.04, 1.39 kg; P = 0.064) but no difference in height between the intervention groups. Anthropometric measurements were similar in the LP and breastfed groups.


CONCLUSIONS
Infant formula with a lower protein content reduces BMI and obesity risk at school age. Avoidance of infant foods that provide excessive protein intakes could contribute to a reduction in childhood obesity. This trial was registered at clinicaltrials.gov as NCT00338689.
Improving Stock Market Prediction via Heterogeneous Information Fusion

Traditional stock market prediction approaches commonly utilize the historical price-related data of the stocks to forecast their future trends. As the Web information grows, recently some works try to explore financial news to improve the prediction. Effective indicators, e.g., the events related to the stocks and the people’s sentiments towards the market and stocks, have been proved to play important roles in the stocks’ volatility, and are extracted to feed into the prediction models for improving the prediction accuracy. However, a major limitation of previous methods is that the indicators are obtained from only a single source whose reliability might be low, or from several data sources but their interactions and correlations among the multi-sourced data are largely ignored. In this work, we extract the events from Web news and the users’ sentiments from social media, and investigate their joint impacts on the stock price movements via a coupled matrix and tensor factorization framework. Specifically, a tensor is firstly constructed to fuse heterogeneous data and capture the intrinsic ∗Corresponding author Email addresses: zhangx@bupt.edu.cn (Xi Zhang), 2011213120@bupt.edu.cn (Yunjia Zhang), szwang@nuaa.edu.cn (Senzhang Wang), yaoyuntao@bupt.edu.cn (Yuntao Yao), fangbx@bupt.edu.cn (Binxing Fang), psyu@uic.edu (Philip S. Yu) Preprint submitted to Journal of LTEX Templates September 2, 2018 ar X iv :1 80 1. 00 58 8v 1 [ cs .S I] 2 J an 2 01 8 relations among the events and the investors’ sentiments. Due to the sparsity of the tensor, two auxiliary matrices, the stock quantitative feature matrix and the stock correlation matrix, are constructed and incorporated to assist the tensor decomposition. The intuition behind is that stocks that are highly correlated with each other tend to be affected by the same event. Thus, instead of conducting each stock prediction task separately and independently, we predict multiple correlated stocks simultaneously through their commonalities, which are enabled via sharing the collaboratively factorized low rank matrices between matrices and the tensor. Evaluations on the China A-share stock data and the HK stock data in the year 2015 demonstrate the effectiveness of the proposed model.
Effect of manual versus mechanically assisted manipulations of the thoracic spine in neck pain patients: study protocol of a randomized controlled trial

BACKGROUND
Neck pain is a common musculoskeletal condition with a point prevalence of around 15% in males and 23% in females that often presents in physiotherapy practice. Physical therapy and/or manipulation therapy is generally the first management option for patients with mechanical neck pain. Physical therapists treat mechanical neck pain with a number of interventions including joint mobilization and/or manipulation, therapeutic exercises or education. However, manipulation of the cervical spine carries some risks. Treating the thoracic spine for neck pain is an alternative approach. Emerging evidence suggests that it may be effective for treating neck pain without the risks associated with cervical spine manipulation. A new electromechanical device has recently been developed and tested for delivering multiple high velocity, low amplitude thrust manipulations to the spine. This device incorporates both auditory and visual systems that provide real time feedback on the applied treatment. The objective of this study is to compare the short- and long-term effects of manual versus mechanically assisted manipulations of the thoracic spine for neck pain patients.


METHODS/DESIGN
A 6-month, randomized controlled trial consisting of 54 patients with acute or chronic neck pain patients will be conducted. Patients with no signs of major pathology and with little or no interference with daily activities will be recruited. Three treatment sessions with 4-day intervals will be carried out. The patients will be randomly assigned to receive either manually performed manipulations or electromechanical manipulations at the thoracic spine. The primary outcome is pain intensity as measured by the Visual Analogue Pain Rating Scale. The secondary outcome measures are neck physical disability using the Neck Disability Index, quality of life measured by the European Quality of Life 5 Dimensions 5 Levels and patients' improvement using the Patient's Global Impression of Change Scale.


DISCUSSION
It is expected that both interventions will improve neck pain. This would be a significant finding, as thoracic spine manipulation for neck pain does not carry the same risk of injury as cervical spine manipulation. In addition, the results may provide useful information about therapeutic options for health care providers and patients for the problem of neck pain.


TRIAL REGISTRATION
Current Controlled Trials ISRCTN88585962, registered January 2013.
Family planning practice and related factors of married women in Ethiopia.

BACKGROUND
The family planning (FP) practice rate of Ethiopian women of reproductive age is lower than in most other sub-Saharan African countries.


AIM
To examine the status of FP practice and identify intrapersonal, interpersonal and community factors associated with FP practice among married Ethiopian women in a rural area.


METHODS
A cross-sectional survey was conducted with a convenient sample of 193 married women of reproductive age. A structured questionnaire, which was modified based on the Ethiopian Demographic Health Survey, was used. Multiple logistic regression analysis was conducted to identify factors associated with FP practice at three levels: intrapersonal, interpersonal and community.


RESULTS
Almost 67% of women were currently using at least one FP method and most women obtained FP methods from the public health sector. Short-term methods such as pills and injections were most commonly used. FP practice was significantly associated with willingness to use long-term or permanent FP methods in future and spousal discussion about FP.


CONCLUSIONS
Both intrapersonal and interpersonal factors were related to FP practice. Community factors, however, need to be further assessed using various methods to plan a comprehensive and more culturally acceptable community-based FP program. Caution is needed to generalize the findings because of the convenient sample, but community-based FP programs emphasizing long-term or permanent methods and male involvement in FP counseling would be successful strategies to increase FP practice.


IMPLICATIONS FOR NURSING PRACTICE
Nurses and midwives need to be trained to provide knowledge and skills for long-term or permanent FP methods for service quality.
Sick but yet at work. An empirical study of sickness presenteeism.

STUDY OBJECTIVE
The study is an empirical investigation of sickness presenteeism in relation to occupation, irreplaceability, ill health, sickness absenteeism, personal income, and slimmed down organisation.


DESIGN
Cross sectional design.


SETTING
Swedish workforce.


PARTICIPANTS
The study group comprised a stratified subsample of 3801 employed persons working at the time of the survey, interviewed by telephone in conjunction with Statistics Sweden's labour market surveys of August and September 1997. The response rate was 87 per cent.


MAIN RESULTS
A third of the persons in the total material reported that they had gone to work two or more times during the preceding year despite the feeling that, in the light of their perceived state of health, they should have taken sick leave. The highest presenteeism is largely to be found in the care and welfare and education sectors (nursing and midwifery professionals, registered nurses, nursing home aides, compulsory school teachers and preschool/primary educationalists. All these groups work in sectors that have faced personnel cutbacks during the 1990s). The risk ratio (odds ratio (OR)) for sickness presenteeism in the group that has to re-do work remaining after a period of absence through sickness is 2.29 (95% CI 1.79, 2.93). High proportions of persons with upper back/neck pain and fatigue/slightly depressed are among those with high presenteeism (p< 0.001). Occupational groups with high sickness presenteeism show high sickness absenteeism (rho = 0. 38; p<.01) and the hypothesis on level of pay and sickness presenteeism is also supported (rho = -0.22; p<0.01).


CONCLUSIONS
Members of occupational groups whose everyday tasks are to provide care or welfare services, or teach or instruct, have a substantially increased risk of being at work when sick. The link between difficulties in replacement or finding a stand in and sickness presenteeism is confirmed by study results. The categories with high sickness presenteeism experience symptoms more often than those without presenteeism. The most common combination is low monthly income, high sickness absenteeism and high sickness presenteeism.
CoRAL: A transparent fault-tolerant web service

The Web is increasingly used for critical applications and services. This paper presents a mechanism, called CoRAL, that provides high reliability and availability for Web service. CoRAL is client-transparent and provides fault tolerance even for requests being processed at the time of server failure. CoRAL does not require deterministic servers and can thus handle dynamic content. The scheme is based on a hot standby backup server that actively replicates the TCP connection state and maintains logs of HTTP requests and replies. For dynamic content, the throughput of a server cluster is increased by distributing the primary and backup tasks among the servers. For static content, that is deterministic and readily generated, the overhead is reduced by avoiding explicit logging of replies to the backup. In the event of a primary server failure, active client connections fail over to a spare, where their processing continues seamlessly. Our implementation of CoRAL is based on a Linux kernel module and an Apache Web server module. We describe key aspects of the design and implementation of CoRAL as well as several performance optimizations. We present measurements of system overhead during normal operation as well as failover performance and preliminary validation using fault injection.
An Ontology-Based Approach to Reengineering Enterprise Software for Cloud Computing

Cloud computing is the future trend for enterprise software solutions, which means a lot of legacy systems will need to be either adapted to fit the requirement of cloud computing or to be purged and redesigned from scratch. However, enterprise software is far too complex for any human being to understand as a whole. This paper proposes a novel approach to reengineering enterprise software for cloud computing by building an ontology for enterprise software and then partitioning the enterprise software ontology to decompose enterprise software into potential service candidates. Ontology development process includes three steps, namely, building ontologies for source code, data, and application framework respectively, integrating captured ontologies and deploying the final produced ontology. Firstly, the ontology development process is supported by the reverse engineering and model transformation techniques. Secondly, the ontology integration is based on ontology engineering research. Thirdly, the deployment of enterprise software ontology is done through the software reengineering activities. Once the ontology is built, there will be a link between ontology and enterprise software. By analysing the concepts and relations in ontology, the enterprise software will be understood and decomposed as different service candidates.
Artificial Intelligence – Consumers and Industry Impact

Broadly, artificial intelligence (AI) mainly entails technology constellations such as machine learning, natural language processing, perception, and reasoning since it is difficult to define [1]. Even though the field’s application and principles have undergone investigation for more than sixty-five years, modern improvements, attendant society excitement, and uses ensured its return to focus. The influence of the previous artificial intelligence systems is evident, introducing both opportunities and challenges, which enables the integration of future AI advances into the economic and social environments. It is apparent that most people today view AI as a robotics concept but it essentially incorporates broader technology ranges that are used widely [2]. From search engines to speech recognition, to learning/gaming structures and object detection, AI application has the potential to intensify in the human daily lives. The application is already experiencing use in the world of business as companies seek to study the needs of the consumers, as well as, other fields including healthcare and crime investigation. In this paper, I will discuss the perceptions of consumers regarding artificial intelligence and outline its impact in retail, healthcare, crime investigation, and employment.
The direct medical cost of type 2 diabetes.

OBJECTIVE
To describe the direct medical costs associated with type 2 diabetes, as well as its treatments, complications, and comorbidities.


RESEARCH DESIGN AND METHODS
We studied a random sample of 1,364 subjects with type 2 diabetes who were members of a Michigan health maintenance organization. Demographic characteristics, duration of diabetes, diabetes treatments, glycemic control, complications, and comorbidities were assessed by surveys and medical chart reviews. Annual resource utilization and costs were assessed using health insurance claims. The log-transformed annual direct medical costs were fitted by multiple linear regression to indicator variables for demographics, treatments, glycemic control, complications, and comorbidities.


RESULTS
The median annual direct medical costs for subjects with diet-controlled type 2 diabetes, BMI 30 kg/m(2), and no microvascular, neuropathic, or cardiovascular complications were 1,700 dollars for white men and 2,100 dollars for white women. A 10-kg/m(2) increase in BMI, treatment with oral antidiabetic or antihypertensive agents, diabetic kidney disease, cerebrovascular disease, and peripheral vascular disease were each associated with 10-30% increases in cost. Insulin treatment, angina, and MI were each associated with 60-90% increases in cost. Dialysis was associated with an 11-fold increase in cost.


CONCLUSIONS
Insulin treatment and diabetes complications have a substantial impact on the direct medical costs of type 2 diabetes. The estimates presented in this model may be used to analyze the cost-effectiveness of interventions for type 2 diabetes.
Predictors of failure to attend scheduled mammography appointments at a Public Teaching Hospital

Objective: To identify patient, institutional, and physician characteristics that predict failure to attend scheduled mammography appointments. Design: Retrospective chart review. Setting: Medicine clinic at an urban public teaching hospital. Patients: All 907 women aged 40 years and more scheduled for mammography from March 1990 to June 1991. Measurements and main results: The main outcome measure was whether a woman kept her scheduled mammography appointment. Potential predictor variables included patient age, race, marital status, and insurance status; waiting interval to obtain a mammography appointment; and physician gender, level of training, country of training, and native language. The rate of failed mammography appointments was 23%. Univariate analysis showed that appointment failure was associated with age (p=0.03), with the lowest failure rates (19%) among women aged 60 years and more. Appointment keeping varied significantly by race (p=0.01), largely because of the higher failure rate among Native American women (36%). Insured women had a failure rate of 22% vs 33% for uninsured women (p=0.01). The rate of failed appointments varied significantly by waiting interval (p=0.05), with a peak failure rate of 27% for appointments scheduled 14–27 days in advance. None of the physician variables was associated with appointment failure. Multivariate analysis confirmed these results. Conclusions: Interventions to improve completion of breast cancer screening should include additional efforts targeted at groups with high rates of appointment failure, such as women under the age of 60, the uninsured, and Native Americans. Long waiting intervals to obtain mammography appointments may decrease compliance.
Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue

Passively monitoring a driver’s activities constitutes the basis of an automobile safety system that can potentially reduce the number of accidents by estimating the driver’s focus of attention. In this project a complete accident avoidance system is proposed by determining the driver’s behavior. As the main causes of vehicle accident were related to human factors, they could be labeled in one of the main driver’s distraction categories such as drowsiness, yawning and distracted vision. The main causes of the traffic accidents, discovered in the analysis of the driver behavior with the help of our system, will be used for the development of assistant devices and alarm systems that could help the driver to avoid risky situations. In this project we are implementing two image processing tool to get the facial geometry based on Viola Jones algorithm and skin color face detection method combined tracking. Frequencies of eye blinking and eye closure are used as the indication of sleepy and warning sign is then generated for recommendation, secondly outside an ego vehicle, road traffic is also analyzed. BP sensor is introduce to check the heart beat of the driver, if any variation occurs in heart beating stop the car. Ultrasonic sensor is used to measure distance in front of cars. Break failure also detected. Keywords-Viola Jones algorithm, skin color face detection method, Ultrasonic sensor, BP sensor
A coherent low IF receiver architecture for Doppler radar motion detector used in life signs monitoring

Continuous Wave Doppler radar has been used in human life signs monitoring from a distance. Such systems are basically motion detectors that rely on phase modulation of the radar's reflected signal due to physiological motion which is of a low frequency nature and has significant signal content close to DC. Homodyne receiver architecture is simple, but has its own limitations including DC offset and contribution of low frequency noise from mixers and baseband amplifiers. A coherent low IF architecture has been proposed for this case to improve the performance. It will be shown that SNR is improved using a simple coherent low IF configuration. This is the first reported coherent low IF transceiver architecture for Doppler radar motion sensing.
In a room darkened

This is a first collection of poetry by Edinburgh writer and political activist, Kevin Williamson, founder of legendary publishing house Rebel Inc.
Non-chondritic meteorites from asteroidal bodies

Zolensky ME, and McSween, HY Jr (1988) Aqueous alteration. In Meteorites and the Early Solar System (JF KCITIdge, MS Matthews cds) Univ. of Ari zona, Tucson, 114143 Zoicnsky ME, Score R, Schutt JW, Clayton RN, Mayeda TK (1989a) Lea County 001, an H5 chondrile, and Lea County 002, an ungrouped type 3 chondrite. Meteoritics 24:227-232 Zolensky ME, Barrett R, Prinz M (l989b) Petrography and mineralogy of Yamalo-86720 and Belgica7904. 14th Syrup Ant Meteorites 24-26 Zolensky ME, Barrett R, Prinz M (1989c) Petrography, mineralogy and matrix composition of Yamato82162, a new el2 chondrite (abstr). Lunar Planet Sci XXVL1253-1254 Zolensky ME, Prinz M, Lipschutz ME (199 1) Mineralogy and thermal history of Y-82162, Y-86720, B7904, Abstr Symp Antarct Met 16:195-196 Zolensky ME, Hewins RH , ~ittlefehldt DW, Lindstrom MM, Xiao X, Lipschutz ME (1992) Mineralogy, petrology and geochemistry of carbonaceous chondritie clasts in the LEW 85300 polymiet eucrite. Meteoritics 27:596-604 Zolcnsky ME, Barrett T, Browning L (1993) Mineralogy and composition of matrix and chondrule rims in carbonaceous chondrites. Geochim Cosmochim Acta 57:3123-3148 Zolcnsky ME, Weisb~g MK, Buchanan PC, Mittlcfehldt DW (l996a) Mineralogy of carbonaceous chondrite clasts in HED achondrites and the Moon. Met Planet Sci 31 :518-537 Zol ensky ME, Ivanov AV, Yang V, Mittlefehldt DW, Ohsumi K (l996b) The Kaidun meteorite: Mineralogy of an unusual CM 1 lithology. Meteoritics 31 :484-493 Chapter 4