LLukas22/scidocs huggingface dataset:
Unmet supportive care needs: a cross-cultural comparison between Hong Kong Chinese and German Caucasian women with breast cancer

The comparison of psychosocial needs across different cultural settings can identify cultural and service impacts on psychosocial outcomes. We compare psychosocial needs in Hong Kong Chinese and German Caucasian women with breast cancer. Completed questionnaires were collected from 348 Chinese and 292 German women with breast cancer for assessing unmet psychosocial needs (Supportive Care Needs Survey Short Form), psychological distress (the Hospital Anxiety and Depression scale), and listed physical and psychological symptoms. Only 11% of the participants reported not needing help for any of the 34 items. More German (14%) than Chinese women (8%) reported no unmet needs (χ2 = 6.16, P = .013). With both samples combined, the Health System and Information domain unmet needs were the most prevalent, apart from one Psychological need domain item, “Fear about the cancer spreading.” Chinese and German samples differed significantly in prevalence and patterns of unmet psychosocial needs. Multivariate adjustment for demographic, clinical, and sample characteristics, psychological distress, and symptoms showed that significantly greater unmet Health system and Information, and Patient care and support domain needs, associated with the presence of symptoms (β = .232, P < .001), high HADS Anxiety (β = .187, P < .001), higher education attainment (β = .120, P = .002), and Chinese sample membership (β = .280, P < .001). Greater unmet Psychological, Physical and Daily Living, and Sexuality domain needs were associated with the presence of symptoms, psychological distress, and German group membership, among others. German women reported more anxiety (t = 10.45, P < .001) and depression (t = 3.71, P < .001). In post hoc analyses, German, but not Chinese women reporting greater anxiety and depression had greater unmet Psychological and Sexuality domain needs (P < .001). It can be concluded that culture-specific differences in supportive care needs exist. Hong Kong Chinese women prioritize needs for information about their disease and treatment, whereas German Caucasian women prioritize physical and psychological support. Planning for cancer supportive care services or interventions to reduce unmet needs must consider cultural and/or health service contexts.
DAVID gene ID conversion tool

UNLABELLED
Our current biological knowledge is spread over many independent bioinformatics databases where many different types of gene and protein identifiers are used. The heterogeneous and redundant nature of these identifiers limits data analysis across different bioinformatics resources. It is an even more serious bottleneck of data analysis for larger datasets, such as gene lists derived from microarray and proteomic experiments. The DAVID Gene ID Conversion Tool (DICT), a web-based application, is able to convert user's input gene or gene product identifiers from one type to another in a more comprehensive and high-throughput manner with a uniquely enhanced ID-ID mapping database.


AVAILABILITY
http://david.abcc.ncifcrf.gov/conversion.jsp.
Merkel Cell Polyomavirus Small T Antigen Mediates Microtubule Destabilization To Promote Cell Motility and Migration

UNLABELLED
Merkel cell carcinoma (MCC) is an aggressive skin cancer of neuroendocrine origin with a high propensity for recurrence and metastasis. Merkel cell polyomavirus (MCPyV) causes the majority of MCC cases due to the expression of the MCPyV small and large tumor antigens (ST and LT, respectively). Although a number of molecular mechanisms have been attributed to MCPyV tumor antigen-mediated cellular transformation or replication, to date, no studies have investigated any potential link between MCPyV T antigen expression and the highly metastatic nature of MCC. Here we use a quantitative proteomic approach to show that MCPyV ST promotes differential expression of cellular proteins implicated in microtubule-associated cytoskeletal organization and dynamics. Intriguingly, we demonstrate that MCPyV ST expression promotes microtubule destabilization, leading to a motile and migratory phenotype. We further highlight the essential role of the microtubule-associated protein stathmin in MCPyV ST-mediated microtubule destabilization and cell motility and implicate the cellular phosphatase catalytic subunit protein phosphatase 4C (PP4C) in the regulation of this process. These findings suggest a possible molecular mechanism for the highly metastatic phenotype associated with MCC.


IMPORTANCE
Merkel cell polyomavirus (MCPyV) causes the majority of cases of Merkel cell carcinoma (MCC), an aggressive skin cancer with a high metastatic potential. However, the molecular mechanisms leading to virally induced cancer development have yet to be fully elucidated. In particular, no studies have investigated any potential link between the virus and the highly metastatic nature of MCC. We demonstrate that the MCPyV small tumor antigen (ST) promotes the destabilization of the host cell microtubule network, which leads to a more motile and migratory cell phenotype. We further show that MCPyV ST induces this process by regulating the phosphorylation status of the cellular microtubule-associated protein stathmin by its known association with the cellular phosphatase catalytic subunit PP4C. These findings highlight stathmin as a possible biomarker of MCC and as a target for novel antitumoral therapies.
The many faces of blue nevus: a clinicopathologic study.

BACKGROUND
In recent years, several histopathologic variants of blue nevus have been identified, whose clinical and dermoscopic correlates need further clarification.


METHODS
A comparative evaluation of histopathologic and dermoscopic features was carried out on 52 melanocytic proliferations belonging to the morphologic spectrum of blue nevus.


RESULTS
On dermoscopy, all lesions showed a homogeneous, structureless pigment pattern, with a curious variety of colors (blue, white-blue, black, brown, and polychromatic). Histopathologically, the majority of blue lesions were common blue nevi (11/19); the majority of white-blue lesions were 'hypochromic' (sclerotic, hypomelanotic, and amelanotic) blue nevi (17/22); all the black lesions were 'compound' blue nevi (2/2); the majority of brown lesions were combined blue nevi (3/4); the unusual polychromatic dermoscopic appearance was often associated with a histopathologic diagnosis of deep penetrating nevus (2/5).


CONCLUSION
A dermoscopic-pathologic approach now allows us to identify 'blue' (common) blue nevi, 'white' (hypochromic) blue nevi, 'black' (compound) blue nevi, 'brown' (combined) blue nevi, and 'polychromatic' (deep penetrating) blue nevi. A better recognition of the many dermoscopic faces of blue nevi is expected to give a morphologic guideline for the clinical management of these lesions.
Polycameras : Camera Clusters for Wide Angle Imaging ∗ CUCS-013-99

We present the idea of a polycamera which is defined as a tightly packed camera cluster. The cluster is arranged so as to minimize the overlap between adjecent views. The objective of such clusters is to be able to image a very large field of view without loss of resolution. Since these clusters do not have a single viewpoint, analysis is provided on the effects of such non-singularities. We also present certain conbfigurations for polycameras which cover varying fields of view. We would like to minimizze the number of sensors required to capture a given field of view. Therefore we recommend the use of wide-angle sensors as opposed to traditional long focal length sensors. However, such wide-angle sensors tend to have severe distortions which pull points towards the optical center. This paper also proposes a method for recovering the distortion parameters without the use of any calibration objects. Since distortions cause straight lines in the scene to appear as curves in the image, our algorithm seeks to find the distortion parameters that would map the image curves to straight lines. The user selects a small set of points along the image curves. Recovery of the distortion parameters is formulated as the minimization of an objective function which is designed to explicitly account for noise in the selected image points. Experimental results are presented for synthetic data with different noise levels as well as for real images. Once calibrated, the image stream from a wide angle camera can be undistorted in real time using look up tables. Finally, we apply our distortion correction technique to a polycamera made of four wide-angle cameras to create a high resolution 360 degree panorama in real-time. Index Terms — camera calibration, wide-angle lens, radial distortion, decentering distortion, camera clusters, polycamera, single viewpoints constraint, minimum working distance, real-time panoramic sensor.
Statistics review 7: Correlation and regression

The present review introduces methods of analyzing the relationship between two quantitative variables. The calculation and interpretation of the sample product moment correlation coefficient and the linear regression equation are discussed and illustrated. Common misuses of the techniques are considered. Tests and confidence intervals for the population parameters are described, and failures of the underlying assumptions are highlighted.
Neurofeedback: One of today's techniques in psychiatry?

OBJECTIVES
Neurofeedback is a technique that aims to teach a subject to regulate a brain parameter measured by a technical interface to modulate his/her related brain and cognitive activities. However, the use of neurofeedback as a therapeutic tool for psychiatric disorders remains controversial. The aim of this review is to summarize and to comment the level of evidence of electroencephalogram (EEG) neurofeedback and real-time functional magnetic resonance imaging (fMRI) neurofeedback for therapeutic application in psychiatry.


METHOD
Literature on neurofeedback and mental disorders but also on brain computer interfaces (BCI) used in the field of neurocognitive science has been considered by the group of expert of the Neurofeedback evaluation & training (NExT) section of the French Association of biological psychiatry and neuropsychopharmacology (AFPBN).


RESULTS
Results show a potential efficacy of EEG-neurofeedback in the treatment of attentional-deficit/hyperactivity disorder (ADHD) in children, even if this is still debated. For other mental disorders, there is too limited research to warrant the use of EEG-neurofeedback in clinical practice. Regarding fMRI neurofeedback, the level of evidence remains too weak, for now, to justify clinical use. The literature review highlights various unclear points, such as indications (psychiatric disorders, pathophysiologic rationale), protocols (brain signals targeted, learning characteristics) and techniques (EEG, fMRI, signal processing).


CONCLUSION
The field of neurofeedback involves psychiatrists, neurophysiologists and researchers in the field of brain computer interfaces. Future studies should determine the criteria for optimizing neurofeedback sessions. A better understanding of the learning processes underpinning neurofeedback could be a key element to develop the use of this technique in clinical practice.
Outcomes in patients with diabetes mellitus undergoing percutaneous coronary intervention in the current era: a report from the Prevention of REStenosis with Tranilast and its Outcomes (PRESTO) trial.

BACKGROUND
Diabetes portends an adverse prognosis in patients undergoing percutaneous coronary intervention (PCI). Whether improvements in current clinical practice (stents, IIb/IIIa antagonists) have resulted in substantial improvement of these outcomes remains an issue. The aim of this study was to determine the influence of diabetes on 9-month outcomes of patients undergoing PCI in the current era.


METHODS AND RESULTS
The 11 482 patients enrolled in the Prevention of REStenosis with Tranilast and its Outcomes (PRESTO) Trial were stratified according to the presence (n=2694) or absence (n=8798) of diabetes. Diabetic patients were older; were more likely to be female; had a higher proportion of congestive failure, hypertension, prior CABG, and unstable angina; and had higher body mass index and lower ejection fraction than nondiabetic patients (P<0.01 for all comparisons). The degree of multivessel disease was similar between the two groups. American College of Cardiology/American Heart Association type C lesions were more common in diabetic patients (17% versus 15%, P<0.01). Angiographic and procedural success rates and in-hospital events were similar between the two groups. The primary end point of death, myocardial infarction, or target vessel revascularization (TVR) was analyzed as time-to-first event within 9 months of the index PCI. After adjusting for certain baseline characteristics, diabetes was independently associated with death at 9 months (relative risk [RR], 1.87; 95% CI, 1.31 to 2.68, P<0.01) and with an increased likelihood of TVR (RR, 1.27; 95% CI, 1.14 to 1.42, P<0.01), as well as the composite end point of death/myocardial infarction/TVR (RR, 1.26; 95% CI, 1.13 to 1.40, P<0.01).


CONCLUSIONS
Despite advances in interventional techniques, diabetes remains a significant independent predictor of adverse events in the intermediate term after PCI.
Hand gesture coding based on experiments using a hand gesture interface device

It would be ideal for computer-human interaction if a computer could understand human gestures. Hand gestures are one means of interaction between computers and humans[1][2]. A hand gesture interface device, the VPL Data Glove TM, provides real-time information on a user's hand movement[3].
Information Technology Outsourcing, Knowledge Transfer, and Firm Productivity: An Empirical Analysis

Firms are increasingly sourcing internal information systems functions from external service providers. However, there is limited empirical evidence of the economic impact of this delivery option and, more specifically, of the productivity gains accruing to firms that have outsourced. Moreover, there is little evidence of the role and contributions of the individual mechanisms by which service providers create value for client firms. We are particularly interested in whether client firms benefit from the accumulated knowledge held by information technology (IT) service firms. In this paper, we examine the impact of IT outsourcing on the productivity of firms that choose this mode of services delivery focusing, on the role of IT-related knowledge. Since firms selfselect into their optimal sourcing mode, we use a variety of econometric techniques including propensity scorebased matching and switching regression to control for potential bias arising from endogenously determined sourcing modes. We demonstrate that IT outsourcing does lead to productivity gains for firms that select this mode of service delivery. Our results also suggest that IT-related knowledge held by IT services vendors enables these productivity gains, the magnitude of which is moderated by a firm’s IT intensity. Moreover, the value of outsourcing to a client firm increases with its propensity for outsourcing, which in turn depends on firm-specific attributes including efficiency level, financial leverage, and variability in business conditions. Our analyses also show that firms that outsource have been able to achieve additional productivity gains from contracting out compared with their counterfactuals.
Static Detection of Packet Injection Vulnerabilities: A Case for Identifying Attacker-controlled Implicit Information Leaks

Off-path packet injection attacks are still serious threats to the Internet and network security. In recent years, a number of studies have discovered new variations of packet injection attacks, targeting critical protocols such as TCP. We argue that such recurring problems need a systematic solution. In this paper, we design and implement PacketGuardian, a precise static taint analysis tool that comprehensively checks the packet handling logic of various network protocol implementations. The analysis operates in two steps. First, it identifies the critical paths and constraints that lead to accepting an incoming packet. If paths with weak constraints exist, a vulnerability may be revealed immediately. Otherwise, based on "secret" protocol states in the constraints, a subsequent analysis is performed to check whether such states can be leaked to an attacker.
 In the second step, observing that all previously reported leaks are through implicit flows, our tool supports implicit flow tainting, which is a commonly excluded feature due to high volumes of false alarms caused by it. To address this challenge, we propose the concept of attacker-controlled implicit information leaks, and prioritize our tool to detect them, which effectively reduces false alarms without compromising tool effectiveness. We use PacketGuardian on 6 popular protocol implementations of TCP, SCTP, DCCP, and RTP, and uncover new vulnerabilities in Linux kernel TCP as well as 2 out of 3 RTP implementations. We validate these vulnerabilities and confirm that they are indeed highly exploitable.
Comparative efficacy of once-daily ciclesonide and budesonide in the treatment of persistent asthma

ee front matter & 2005 med.2005.11.030 ng author. Tel.: +1 418 ess: lpboulet@med.ulav Summary Background: The aim of this study was to compare the efficacy and safety of oncedaily ciclesonide, a new-generation, on-site-activated, inhaled corticosteroid, with once-daily budesonide in persistent asthma. Methods: Eligible patients requiring budesonide or equivalent 320–640 mg (ex-mouthpiece, equivalent to 400–800 mg; Turbohaler) daily entered a 2-week baseline, and then a 2to 4-week pretreatment period (budesonide 1280 mg/day; exmouthpiece, equivalent to 1600 mg/day). Patients with an increase in forced expiratory volume in 1 s (FEV1) of X7% or X0.15 L were randomised to ciclesonide 320 mg (ex-actuator, equivalent to 400 mg ex-valve) via a hydrofluoroalkane-metered dose inhaler (HFA-MDI) without a spacer or budesonide 320 mg once daily in the morning for 12 weeks. Change in FEV1 was the primary endpoint. Results: In all, 359 patients were randomised. The FEV1 and forced vital capacity (FVC) decreased by 0.18 and 0.12 L, respectively, in the ciclesonide group, and by 0.23 and 0.21 L in the budesonide group. For FEV1, ciclesonide was noninferior and numerically superior to budesonide. For FVC, ciclesonide was statistically superior to budesonide (P 1⁄4 0.010). Asthma symptom scores were comparable; the median percentage of symptom-free days was significantly higher for ciclesonide (43.6%) versus budesonide (25.8%) (P 1⁄4 0.017). Rescue medication use decreased significantly only for ciclesonide patients (P 1⁄4 0.009). Frequency of adverse events was low in both groups.
Hydrologic considerations in defining isolated wetlands

Wetlands that are not connected by streams to other surface-water bodies are considered to be isolated. Although the definition is based on surface-water connections to other water bodies, isolated wetlands commonly are integral parts of extensive ground-water flow systems, and isolated wetlands can spill over their surface divides into adjacent surface-water bodies during periods of abundant precipitation and high water levels. Thus, characteristics of ground-water flow and atmospheric-water flow affect the isolation of wetlands. In general, the degree that isolated wetlands are connected through the ground-water system to other surface-water bodies depends to a large extent on the rate that ground water moves and the rate that hydrologic stresses can be transmitted through the ground-water system. Water that seeps from an isolated wetland into a gravel aquifer can travel many kilometers through the ground-water system in one year. In contrast, water that seeps from an isolated wetland into a clayey or silty substrate may travel less than one meter in one year. For wetlands that can spill over their surface watersheds during periods of wet climate conditions, their isolation is related to the height to a spill elevation above normal wetland water level and the recurrence interval of various magnitudes of precipitation. The concepts presented in this paper indicate that the entire hydrologic system needs to be considered in establishing a definition of hydrologic isolation.
An Intrusion Detection System , ( IDS ) with Machine Learning ( ML ) Model Combining Hybrid Classifiers

An Intrusion Detection System (IDS) with Machine Learning (ML) model Combining Hybrid Classifiers i.e. Naïve Byes classifier and C 4.5 classifier is proposed for intrusion detection. In the proposed model, a multi-layer Hybrid Classifier is adopted to estimate whether the action is an attack or normal data. First, a misuse detection model is built based on the C4.5 decision tree algorithm and then the normal training data is decomposed into smaller subsets using the model. Next, multiple one-class Naïve Byes algorithm models are created for the decomposed subsets Hybrid Classifier is used as a preprocessor of Intrusion Detection System to reduce the dimension of feature vectors and shorten training time. In order to reduce or minimize the noise caused by feature differences and improve the performance of Intrusion Detection System. The proposed hybrid intrusion detection method was evaluated by conducting experiments with the NSL-KDD data set, which is a modified version of well-known KDD Cup 99 data set. Keywords—Intusion Detectio, Machine Learning, Security, Hybrid Classifiers
Fast multi-view segment graph kernel for object classification

Object classification is an important issue in multimedia information retrieval. Usually, we can use images from multiple views (or multi-view images) to describe an object for classification. However, two issues remain unsolved. First, exploiting the spatial relations of local features from different view images for object classification. Second, accelerating the multi-view object classification process. To solve these two problems, we propose fast multi-view segment graph kernel (FMSGK). Given a set of multi-view images for an object, we segment each of them in terms of its color intensity distribution. And interand intra-view segment graphs are constructed to describe the spatial relations of the segments between and within view images respectively. Then, these two types of graphs are integrated into a so-called multi-view segment graph. And the kernel between objects is computed by accumulating all matchings’ of walk structures between their corresponding multi-view segment graphs. Since computing the kernel directly is highly time-consuming, an accelerating algorithm is derived. Finally, a multi-class support vector machine (SVM) (Duda et al., 2000 [19]; Wang et al., 2008 [32]; Dai and Mai, 2012 [6]) is trained based on the computed kernels for object classification. The experimental results on three data sets validate the effectiveness of our approach. & 2012 Elsevier B.V. All rights reserved.