LLukas22/scidocs huggingface dataset:
Dual-band slot antenna suitable for ultrabook application with metal housing

This paper proposes a novel dual-band slot antenna suitable for Ultrabook applications with metal housing. The proposed slot antenna has a narrow slot which is directly constructed in the metal housing of the ultra-book, and then feeding the antenna using a 50-Ω microstrip line which is printed on a 0.4 mm FR4 substrate. Through the adjustment of the dimension of the slot and the length of the microstrip line, good impedance matching and dual-band operation bandwidth was obtained. Prototypes have been successfully implemented, and experimental results show that the good antenna efficiency and radiation performance were obtained. Due to it can be integrated with the metal housing of the wireless device, the proposed antenna is very suitable for the WiFi antenna application of a mobile computer, such a notebook or an ultrabook. Details of the proposed antenna and experimental results are presented and discussed.
Effects of aliskiren- and ramipril-based treatment on central aortic blood pressure in elderly with systolic hypertension: a substudy of AGELESS

BACKGROUND
Systolic hypertension is the most common form of hypertension in elderly patients. There is increasing evidence that measurement of central aortic pressure (CAP) better accounts for cardiovascular risk than brachial blood pressure (BP). The Aliskiren for GEriatric LowEring of SyStolic hypertension (AGELESS) study in elderly patients with systolic hypertension showed that aliskiren-based therapy provided greater reductions in peripheral BP than ramipril-based therapy over 12 and 36 weeks of treatment. Here, we present CAP results in a substudy of elderly patients from the AGELESS study.


METHODS
This was a post hoc analysis of a 36-week, randomized, double-blind, parallel-group, active-controlled, optional-titration study in patients ≥65 years of age with systolic BP ≥140 mmHg. Changes in both central and peripheral BP and pulse pressure (PP) and changes in systolic and PP amplification ratios from baseline to the week 36 end point with aliskiren-based versus ramipril-based therapy were analyzed.


RESULTS
Of the 901 patients randomized in the overall study, 154 patients (aliskiren, n=78; ramipril, n=76) had CAP data. Numerically comparable reductions were seen for central aortic systolic pressure (CASP) in aliskiren-based therapy (baseline: 143.7±15.0; week 36: -20.3±16.2) compared with ramipril-based therapy (baseline: 147.9±11.9; week 36: -20.7±14.6). However, for the change in central aortic diastolic pressure, the least squares mean between-treatment difference (-3.6 mmHg [95% confidence interval, -6.76, -0.43; P=0.0263]) was in favor of aliskiren, while the other changes were comparable between the two groups with a trend in favor of aliskiren for CASP as well (-2.6 mmHg [95% confidence interval, -7.38, 2.19; P=0.2855)]. Correlation coefficients for change from baseline between CASP and systolic BP and between central aortic pulse pressure and PP (r=0.8, P<0.0001) were highly significant.


CONCLUSION
Aliskiren-based therapy provides comparable reductions in CASP to ramipril-based therapy. Although the results did not reach statistical significance, these findings, when coupled with those of the main study, suggest that aliskiren may offer effective control of central BP in elderly patients with systolic hypertension and may be a good alternative to ramipril.
[Clinical stages of patients with Alzheimer disease treated in specialist clinics in Spain. The EACE study].

INTRODUCTION
The diagnostic paradigm of Alzheimer disease (AD) is changing; there is a trend toward diagnosing the disease in its early stages, even before the complete syndrome of dementia is apparent. The clinical stage at which AD is usually diagnosed in our area is unknown. Therefore, the purpose of this study is to describe the clinical stages of AD patients at time of diagnosis.


METHODS
Multicentre, observational and cross-sectional study. Patients with probable AD according to NINCDS-ARDRA criteria, attended in specialist clinics in Spain, were included in the study. We recorded the symptom onset to evaluation and symptom onset to diagnosis intervals and clinical status of AD (based on MMSE, NPI questionnaire, and CDR scale).


RESULTS
Participants in this study included 437 specialists representing all of Spain's autonomous communities and a total of 1,707 patients, of whom 1,694 were included in the analysis. Mean MMSE score was 17.6±4.8 (95% CI:17.4-17.9). Moderate cognitive impairment (MMSE between 10 and 20) was detected in 64% of the patients, and severe cognitive impairment (MMSE<10) in 6%. The mean interval between symptom onset and the initial primary care visit was 10.9±17.2 months (95% CI:9.9-11.8), and the interval between symptom onset and diagnosis with AD was 28.4±21.3 months.


CONCLUSIONS
Results from the EACE show that most AD patients in our area have reached a moderate clinical stage by the time they are evaluated in a specialist clinic.
[Validation of the Spanish version of the King's Health questionnaire for evaluating quality of life related to urinary incontinence in patients with spinal cord injury].

BACKGROUND AND OBJECTIVE
To determine the validity of the Spanish version of the King's Health Questionnaire (KHQ) in patients with spinal cord injury.


PATIENTS AND METHODS
A cross-sectional study, including a total of 120 patients with spinal cord injury. The feasibility, cross-cultural validity, and internal consistency of the KHQ were evaluated.


RESULTS
The dimensions with the highest scores were: impact of urinary symptoms, personal relations, and physical limitations. The following groups presented a significantly poorer HRQoL: persons of advanced age in personal relations (P=0.042), women in limitations of daily life activities (P=0.009) and in the impact of urinary incontinence (P<0.01), paraplegic patients in personal relations, and patients with incomplete cord lesions in sleeping and energy (P<0.01). Patients with an external condom catheter presented a better HRQoL with significant differences in the dimension, limitations of daily life activities (P=0.04). The KHQ showed good internal consistency (Cronbach alpha 0.91).


CONCLUSION
KHQ is a valid instrument for evaluating HRQoL related with urinary incontinence in patients with spinal cord injury.
Vortioxetine for major depressive disorder: An indirect comparison with duloxetine, escitalopram, levomilnacipran, sertraline, venlafaxine, and vilazodone, using number needed to treat, number needed to harm, and likelihood to be helped or harmed.

BACKGROUND
Vortioxetine is approved for the treatment of major depressive disorder and differs from other antidepressants in terms of its pharmacodynamic profile. Given the limited number of head-to-head studies comparing vortioxetine with other antidepressants, indirect comparisons using effect sizes observed in other trials can be helpful to discern potential differences in clinical outcomes.


METHODS
Data sources were the clinical trial reports for the pivotal short-term double-blind trials for vortioxetine and from publicly available sources for the pivotal short-term double-blind trials for two commonly used generic serotonin specific reuptake inhibitor antidepressants (sertraline, escitalopram), two commonly used generic serotonin-norepinephrine reuptake inhibitor antidepressants (venlafaxine, duloxetine), and two recently introduced branded antidepressants (vilazodone, levomilnacipran). Response was the efficacy outcome of interest, defined as a≥50% reduction from baseline on the Montgomery-Asberg Depression Rating Scale or Hamilton Depression Rating Scale. The tolerability outcome of interest was discontinuation because of an adverse event. Number needed to treat (NNT) and number needed to harm (NNH) for these outcomes vs. placebo were calculated, as well as likelihood to be helped or harmed (LHH) to contrast efficacy vs. tolerability.


RESULTS
The analysis included 8 studies for duloxetine, 3 studies for escitalopram, 5 studies for levomilnacipran, 1 study for sertraline, 4 studies for venlafaxine, 2 studies for vilazodone, and 11 studies for vortioxetine. NNTs for response vs. placebo were 6 (95% CI 5-8), 7 (5-11), 10 (8-16), 6 (4-13), 6 (5-9), 8 (6-16), and 9 (7-11), respectively. NNHs for discontinuation because of an adverse event vs. placebo were 25 (17-51), 31 (19-92), 19 (14-27), 7 (5-12), 8 (7-11), 27 (15-104), and 43 (28-91), respectively. LHH values contrasting response vs. discontinuation because of an adverse event were 4.3, 4.6, 1.8, 1.2, 1.4, 3.3, and 5.1 respectively.


LIMITATIONS
Subjects were all participants in carefully designed and executed clinical trials and may not necessarily reflect patients in clinical settings who may have complex psychiatric and non-psychiatric comorbidities. The measured outcomes come from different studies and thus comparisons are indirect.


CONCLUSIONS
Vortioxetine demonstrates similar efficacy to that observed for duloxetine, escitalopram, levomilnacipran, sertraline, venlafaxine, and vilazodone, however overall tolerability as measured by discontinuation because of an adverse event differs. Vortioxetine is 5.1 times more likely to be associated with response than discontinuation because of an adverse event when compared to placebo.
Aberrant Chemokine Receptor Expression and Chemokine Production by Langerhans Cells Underlies the Pathogenesis of Langerhans Cell Histiocytosis

Langerhans cell histiocytosis (LCH) is characterized by a clonal proliferation and retention of cells with a Langerhans cell (LC)-like phenotype at various sites within the body. The present study set out to elucidate whether aberrant expression of chemokine receptors or dysregulation of chemokine production in LCH lesions could explain abnormal retention of these cells. Immunohistochemical analysis on 13 LCH biopsies of bone, skin, and lymph node all expressed the immature dendritic cell (DC) marker CCR6 on the lesional LCs and absence of the mature DC marker CCR7. Furthermore, regardless of the tissue site, LCH lesions markedly overexpressed CCL20/MIP-3alpha, the ligand for CCR6. The lesional LCs appeared to be the source of this CCL20/MIP-3alpha production as well as other inflammatory chemokines such as CCL5/RANTES and CXCL11/I-TAC. These may explain the recruitment of eosinophils and CD4+CD45RO+ T cells commonly found in LCH lesions. The findings of this study emphasize that, despite abundant TNF-alpha, lesional LCs remain in an immature state and are induced to produce chemokines, which via autocrine and paracrine mechanisms cause not only the retention of the lesional LCs but also the recruitment and retention of other lesional cells. We postulate that the lesional LCs themselves control the persistence and progression of LCH.
Quality of life after the initial treatments of non-small cell lung cancer: a persistent predictor for patients’ survival

BACKGROUND
Health-related quality of life (HRQoL) before treatment may predict survival of patients with non-small-cell lung cancer (NSCLC). We investigated the predictive role of HRQoL after the initial treatments, on the survival of these patients.


METHODS
A prospective multi-center study conducted in northeastern France. The SF-36 and European Organization for Research and Treatment of Cancer, Quality of Life Questionnaire Core-30 (QLQ C-30) were mailed to patients 3 months after the end of the diagnostic process. High scores for functioning dimensions on both questionnaires indicated better QoL, and low scores for symptom dimensions on the QLQ C-30 indicated few symptoms. Cox regression modeling was used to identify predictive factors of survival.


RESULTS
In total, 230 (63.5%) patients responded to the SF-36 and QLQ C-30. Before completing the questionnaires, almost 60% of patients had undergone some chemotherapy, about 10% underwent radio/chemotherapy or both and more than 30% underwent surgery or surgery plus chemo/radiotherapy. On SF-36, the highest mean score was for social functioning dimension (55.5 ± 28), and the lowest was for the physical role dimension (17.9 ± 32.2). On QLQ C-30, for the functioning dimensions, the highest mean score was for cognitive functioning (74.6 ± 25.9) and the lowest was for role functioning (47.2 ± 34.1). For symptom dimensions, the lowest score was for diarrhoea (11.5 ± 24.2) and the highest was for fatigue (59.7 ± 27.7). On multivariate analysis, high bodily pain, social functioning and general health scores (SF-36) were associated with a lower risk of death (hazard ratio 0.580; 95% confidence interval [0.400-0.840], p = 0.004; HR 0.652 [0.455-0.935], p < 0.02; HR 0.625 [0.437-0.895] respectively). Better general QoL on QLQ C-30 was related to lower risk of death (HR 0.689 [0.501-0.946], p = 0.02).


CONCLUSION
Adding to previous knowledge about factors that may influence patients QoL, this study shows a persisting relationship between better perceived health in HRQoL after the initial treatment of NSCLC and better survival.
Evaluation of effects of shoulder girdle training on strength and performance of activities of daily living in patients with chronic obstructive pulmonary disease

BACKGROUND
Patients with chronic obstructive pulmonary disease (COPD) have some limitations during activities of daily living that involve the arms. There is little information on the benefits of shoulder girdle training and its repercussions for activities of daily living in patients with COPD. The purpose of this study was to investigate whether shoulder girdle training with diagonal movements increases upper limb muscle strength and improves performance of activities of daily living in patients with COPD.


METHODS
Thirty-five patients with moderate to severe COPD (forced expiratory volume in one second 1.22 ± 0.49 L) and aged 36-80 years were recruited. Endurance time, maximal sustained weight, oxygen saturation, heart rate, respiratory rate, dyspnea, and arm fatigue were evaluated during an incremental upper limb test and eight simulated activities of daily living before and after an 8-week exercise training program.


RESULTS
A significant gain was observed for upper limb strength (P < 0.05). At the peak of the upper limb incremental test, the respiratory rate dropped from 33 to 27 breaths per minute, the Borg dyspnea score decreased from 2 to 0.5, and the upper limb fatigue score decreased from 3 to 2 (P < 0.05). No change was seen in any of these parameters during performance of activities of daily living.


CONCLUSION
Although shoulder girdle training increased upper limb strength, no improvement was detected in performance of activities of daily living.
Added Value of a Gadoxetic Acid-enhanced Hepatocyte-phase Image to the LI-RADS System for Diagnosing Hepatocellular Carcinoma.

PURPOSE
We investigated the added value of the hypointensity on hepatocyte-phase (HP) imaging of gadoxetic acid-enhanced MRI (EOB-MRI) in the 2014 version of the Liver Imaging Reporting and Data System (LI-RADS) for distinguishing hepatocellular carcinoma (HCC) from benign hepatic lesions in patients with chronic liver disease.


METHODS
We retrospectively evaluated targeted lesions (111 HCCs, 28 benign hepatic lesions) of 139 patients (101 men, 38 women; aged 18 to 89 years, mean age, 68 ± 11 years) with chronic liver disease. EOB-MRI and dynamic contrast-enhanced computed tomography (CECT) were performed within 3 months. Two abdominal radiologists independently reviewed 3 imaging datasets: (1) EOB-MRI without an HP image using the LI-RADS system (MR imaging without HP); (2) EOB-MRI with an HP image using a modified version of the LI-RADS system in which hypointensity on the HP image was used as an additional major criterion of malignancy (MR imaging with HP); and (3) dynamic contrast-enhanced computed tomography (CECT) images using the LI-RADS system. We evaluated intra- and inter-reader agreement with kappa statistics along with 95% confidence intervals and compared diagnostic sensitivity and specificity of the 3 imaging datasets with McNemar's test.


RESULTS
The sensitivities of MR imaging were statistically higher with HP (Reader 1, 95% [107/111]; Reader 2, 95% [106/111]) than without HP (Reader 1, 84% [93/111], P = 0.002; Reader 2, 86% [96/111], P = 0.002). Specificity was comparably high between MR imaging with HP (Reader 1, 96% [27/28]; Reader 2, 96% [27/28]) and dynamic CECT (Reader 1, 100% [28/28], P = 0.317; Reader 2, 100% [28/28], P = 0.317) and MR imaging without HP (Reader 1, 96% [27/28], P = 1.00; Reader 2, 100% [28/28], P = 0.317).


CONCLUSION
The use of an HP image from EOB-MRI as an additional major criterion improved the sensitivity of LI-RADS to distinguish HCCs from benign hepatic lesions while retaining high specificity.
Large Scale Machine Learning

Cette thèse aborde de façon générale les algorithmes d'apprentissage, avec un intérêt tout particulier pour les grandes bases de données. Après avoir for-mulé leprobì eme de l'apprentissage demanì ere mathématique, nous présentons plusieurs algorithmes d'apprentissage importants, en particulier les Multi Layer Perceptrons, les Mixture d'Experts ainsi que les Support Vector Machines. Nous considérons ensuite une méthode d'entraˆınement pour les Support Vector Machines , adaptée aux ensembles de données de tailles raisonnables. Cepen-dant, l'entraˆınement d'un tel modèle reste irréalisable sur de très grande bases de données. Inspirés par la stratégie " diviser pour régner " , nous proposons alors un modèle de la famille des Mixture d'Experts, permettant de séparer le probì eme d' apprentissage en sous-probì emes plus simples , tout en gardant de bonnes performances en généralisation. Malgré de très bonnes performances en pratique , cet algorithme n ' en reste pas moins difficilè a utiliser , ` a cause de son nombre important d ' hyper-paramètres. Pour cette raison , nous préférons nous intéresser ensuitè a l ' amélioration de l ' entraˆınement des Multi Layer Percep-trons , bien plus facilesà utiliser , et plus adaptés aux grandes bases de données que les Support Vector Machines. Enfin , nous montrons que l ' idée de la marge qui fait la force des Support Vector Machines peutêtre appliquéè a une cer-taine classe de Multi Layer Perceptrons , ce qui nous m ` enè a un algorithme très rapide et ayant de très bonnes performances en généralisation. Summary This thesis aims to address machine learning in general , with a particular focus on large models and large databases. After introducing the learning problem in a formal way , we first review several important machine learning algorithms , particularly Multi Layer Perceptrons , Mixture of Experts and Support Vector Machines. We then present a training method for Support Vector Machines , adapted to reasonably large datasets. However the training of such a model is still intractable on very large databases. We thus propose a divide and conquer approach based on a kind of Mixture of Experts in order to break up the training problem into small pieces , while keeping good generalization performance. This mixture model can be applied to any kind of existing machine learning algorithm. Even though it performs well in practice the major drawback of this algorithm is the number of hyper-parameters to tune , which makes it …
Generalized Riemann integral in the analysis of dynamic systems

This paper shows one off the possible tutoring in mathematic lecturing in the first semester on MTF. Gives the idea of introducing the latest knowledge of theoretical research into teaching and their use.
A Systemic Approach for IoT Security

In this paper we want to explore a new approach for security mechanisms design and deployment in the context of Internet of Things (IoT). We claim that the usual approach to security issues, typical of more classical systems and networks, does not grab all the aspects related to this new paradigm of communication, sharing and actuation. In fact, the IoT paradigm involves new features, mechanisms and dangers that cannot be completely taken into consideration through the classical formulation of security problems. The IoT calls for a new paradigm of security, which will have to consider the security problem from a holistic perspective including the new actors and their interactions. In this paper, we propose a systemic approach to security in IoT and explore the role of each actor and its interactions with the other main actors of the proposed scheme.
Medical Imaging Informatics and Medical Informatics: opportunities and constraints. Findings from the IMIA yearbook of Medical Informatics 2002.

OBJECTIVES
The Yearbook of Medical Informatics is published annually by the International Medical Informatics Association (IMIA) and contains a selection of recent excellent papers on medical informatics research (http://www.yearbook.uni-hd.de). The 2002 Yearbook of Medical Informatics took as its theme the topic of Medical Imaging Informatics. In this paper, we will summarize the contributions of medical informatics researchers to the development of medical imaging informatics, discuss challenges and opportunities of imaging informatics, and present the lessons learned from the IMIA Yearbook 2002.


RESULTS AND CONCLUSIONS
Medical informatics researchers have contributed to the development of medical imaging methods and systems since the inception of this field approximately 40 years ago. The Yearbook presents selected papers and reviews on this important topic. In addition, as usual, the Yearbook 2002 also contains a variety of papers and reviews on other subjects relevant to medical informatics, such as Bioinformatics, Computer-supported education, Health and clinical management, Health information systems, Knowledge processing and decision support, Patient records, and Signal processing.
Face Recognition Methods & Applications

Face recognition presents a challenging problem in the field of image analysis and computer vision. The security of information is becoming very significant and difficult. Security cameras are presently common in airports, Offices, University, ATM, Bank and in any locations with a security system. Face recognition is a biometric system used to identify or verify a person from a digital image. Face Recognition system is used in security. Face recognition system should be able to automatically detect a face in an image. This involves extracts its features and then recognize it, regardless of lighting, expression, illumination, ageing, transformations (translate, rotate and scale image) and pose, which is a difficult task. This paper contains three sections. The first section describes the common methods like holistic matching method, feature extraction method and hybrid methods. The second section describes applications with examples and finally third section describes the future research directions of face recognition. Keywords—Face Recognition, Holistic Matching Methods, Feature-based (structural) Methods, Hybrid Methods