LLukas22/scidocs huggingface dataset:
Can Programming Be Liberated, Period?

We have come a long way since programming had to be done by tediously listing machine-level instructions that prescribed how a specific computer was to modify and move bits and words in its memory. The author describes his dream about freeing ourselves from the straightjackets of programming, making the process of getting computers to do what we want intuitive, natural, and also fun. He recommends harnessing the great power of computing and transforming a natural and almost playful means of programming so that it becomes fully operational and machine-doable. Once liberated, programmers will probably have new kinds of work to do, possibly including the need to set up specialized features of the new sophisticated computational tools that would be running in the background.
MODELING WATER QUALITY USING TERRA / MODIS 500 M SATELLITE IMAGES

A study was conducted in Hong Kong with the aim of deriving algorithms for the retrieval of turbidity, chlorophyII a and suspended solids concentrations from Terra/MODIS 500m level 1B reflectance data. Rigorous atmospheric correction using Radiative Transfer Model coupled with the inputs of AERONET data and MODIS atmospheric products was carried out for deriving the water leaving reflectances. The in-situ measurements were compared with coincident water leaving reflectances using different sets of empirical algorithms. Due to the high variation of water quality in Hong Kong, the in-situ data were divided into three groups based on the spatial locations of the measurements: east zone (similar to case I water), west zone (similar to case II water) and harbour zone (in between case I and case II water). Significant correlations were observed between water-leaving reflectances and in-situ marine data on the three zones while only moderate correlations can be found on those with the entire dataset. These suggest the single empirical algorithm may not be applicable on the areas with high variation of water quality and MODIS 500m data are feasible for water quality retrieval in a local scale. * Corresponding author: Man Sing Wong, email: m.wong06@fulbrightweb.org; wongmansing.charles@gmail.com
Outcomes of lower extremity bypass performed for acute limb ischemia.

OBJECTIVE
Acute limb ischemia remains one of the most challenging emergencies in vascular surgery. Historically, outcomes following interventions for acute limb ischemia have been associated with high rates of morbidity and mortality. The purpose of this study was to determine contemporary outcomes following lower extremity bypass performed for acute limb ischemia.


METHODS
All patients undergoing infrainguinal lower extremity bypass between 2003 and 2011 within hospitals comprising the Vascular Study Group of New England were identified. Patients were stratified according to whether or not the indication for lower extremity bypass was acute limb ischemia. Primary end points included bypass graft occlusion, major amputation, and mortality at 1 year postoperatively as determined by Kaplan-Meier life table analysis. Multivariable Cox proportional hazards models were constructed to evaluate independent predictors of mortality and major amputation at 1 year.


RESULTS
Of 5712 lower extremity bypass procedures, 323 (5.7%) were performed for acute limb ischemia. Patients undergoing lower extremity bypass for acute limb ischemia were similar in age (66 vs 67; P = .084) and sex (68% male vs 69% male; P = .617) compared with chronic ischemia patients, but were less likely to be on aspirin (63% vs 75%; P < .0001) or a statin (55% vs 68%; P < .0001). Patients with acute limb ischemia were more likely to be current smokers (49% vs 39%; P < .0001), to have had a prior ipsilateral bypass (33% vs 24%; P = .004) or a prior ipsilateral percutaneous intervention (41% vs 29%; P = .001). Bypasses performed for acute limb ischemia were longer in duration (270 vs 244 minutes; P = .007), had greater blood loss (363 vs 272 mL; P < .0001), and more commonly utilized prosthetic conduits (41% vs 33%; P = .003). Acute limb ischemia patients experienced increased in-hospital major adverse events (20% vs 12%; P < .0001) including myocardial infarction, congestive heart failure exacerbation, deterioration in renal function, and respiratory complications. Patients who underwent lower extremity bypass for acute limb ischemia had no difference in rates of graft occlusion (18.1% vs 18.5%; P = .77), but did have significantly higher rates of limb loss (22.4% vs 9.7%; P < .0001) and mortality (20.9% vs 13.1%; P < .0001) at 1 year. On multivariable analysis, acute limb ischemia was an independent predictor of both major amputation (hazard ratio, 2.16; confidence interval, 1.38-3.40; P = .001) and mortality (hazard ratio, 1.41; confidence interval, 1.09-1.83; P = .009) at 1 year.


CONCLUSIONS
Patients who present with acute limb ischemia represent a less medically optimized subgroup within the population of patients undergoing lower extremity bypass. These patients may be expected to have more complex operations followed by increased rates of perioperative adverse events. Additionally, despite equivalent graft patency rates, patients undergoing lower extremity bypass for acute ischemia have significantly higher rates of major amputation and mortality at 1 year.
Squidy: a zoomable design environment for natural user interfaces

We introduce the interaction library Squidy, which eases the design of natural user interfaces by unifying relevant frameworks and toolkits in a common library. Squidy provides a central design environment based on high-level visual data flow programming combined with zoomable user interface concepts. The user interface offers a simple visual language and a collection of ready-to-use devices, filters and interaction techniques. The concept of semantic zooming enables nevertheless access to more advanced functionality on demand. Thus, users are able to adjust the complexity of the user interface to their current need and knowledge.
Phase I study utilizing a novel antigen-presenting cell-targeted vaccine with Toll-like receptor stimulation to induce immunity to self-antigens in cancer patients.

PURPOSE
The use of tumor-derived proteins as cancer vaccines is complicated by tolerance to these self-antigens. Tolerance may be broken by immunization with activated, autologous, ex vivo generated and antigen-loaded, antigen-presenting cells (APC); however, targeting tumor antigen directly to APC in vivo would be a less complicated strategy. We wished to test whether targeted delivery of an otherwise poorly immunogenic, soluble antigen to APC through their mannose receptors (MR) would induce clinically relevant immunity.


EXPERIMENTAL DESIGN
Two phase I studies were conducted with CDX-1307, a vaccine composed of human chorionic gonadotropin beta-chain (hCG-β) fused to an MR-specific monoclonal antibody, administered either locally (intradermally) or systemically (intravenously) in patients with advanced epithelial malignancies. An initial dose escalation of single-agent CDX-1307 was followed by additional cohorts of CDX-1307 combined with granulocyte-macrophage colony-stimulating factor (GM-CSF) and the Toll-like receptor (TLR) 3 agonist polyinosinic-polycytidylic acid (poly-ICLC) and TLR7/8 agonist resiquimod to activate the APC.


RESULTS
CDX-1307 induced consistent humoral and T-cell responses to hCG-β when coadministered with TLR agonists. Greater immune responses and clinical benefit, including the longest duration of stable disease, were observed with immunization combined with local TLR agonists. Immune responses were induced equally efficiently in patients with elevated and nonelevated levels of serum hCG-β. Antibodies within the serum of vaccinated participants had tumor suppressive function in vitro. Toxicity consisted chiefly of mild injection site reactions.


CONCLUSIONS
APC targeting and activation induce adaptive immunity against poorly immunogenic self-antigens which has implications for enhancing the efficacy of cancer immunotherapy.
Novel metabolic risk factors for incident heart failure and their relationship with obesity: the MESA (Multi-Ethnic Study of Atherosclerosis) study.

OBJECTIVES
The objectives of this study were to determine the associations of the metabolic syndrome, inflammatory markers, and insulin resistance with incident congestive heart failure (CHF), beyond established risk factors, and to examine whether these risk factors may provide the link between obesity and CHF.


BACKGROUND
Recently, increasing interest has emerged on the potential role of novel risk factors such as systemic inflammation, insulin resistance, and albuminuria in the pathophysiology of CHF and their relationship with obesity.


METHODS
The MESA (Multi-Ethnic Study of Atherosclerosis) study is a community-based multicenter cohort study of 6,814 participants (age 45 to 84 years, 3,601 women) of 4 ethnicities: Caucasians, African Americans, Hispanics, and Chinese Americans. Participants were recruited between 2000 and 2002 from 6 U.S. communities. Median follow-up time was 4 years. Participants with history of symptomatic cardiovascular disease were excluded. Cox proportional hazards models were used to analyze the associations of the metabolic syndrome, inflammatory markers, insulin resistance, and albuminuria with incident CHF, independent of established risk factors (age, gender, hypertension, diabetes mellitus, left ventricular hypertrophy, obesity, serum total cholesterol, and smoking), an interim myocardial infarction, and baseline magnetic resonance imaging parameters of left ventricular structure and function.


RESULTS
A total of 79 participants developed CHF during follow-up, and 26 participants (32.9%) had a myocardial infarction prior to CHF and 65% of the cases had CHF with preserved function (left ventricular ejection fraction >or=40%). In multivariable analyses, serum interleukin-6 (hazard ratio [HR] for 1 standard deviation 1.50, 95% confidence interval [CI] 1.10 to 2.03) or C-reactive protein (HR for 1 standard deviation 1.38; 95% CI 1.01 to 1.86) and macroalbuminuria (HR 4.31, 95% CI 1.58 to 11.76) were predictors of CHF, independent of obesity and the other established risk factors. Although obesity was significantly associated with incident CHF, this association was no longer significant after adding inflammatory markers (interleukin-6 or C-reactive protein) to the model.


CONCLUSIONS
Inflammatory markers and albuminuria are independent predictors of CHF. The association of obesity and CHF may be related to pathophysiologic pathways associated with inflammation.
Crystalloid fluid therapy

This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency medicine 2016. Other selected articles can be found online at http://www.biomedcentral.com/collections/annualupdate2016. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.
Changing Ethical Attitudes : The Case of the Enron and ImClone Scandals n

Objective. We analyze the process of changing ethical attitudes over time by focusing on a specific set of ‘‘natural experiments’’ that occurred over an 18-month period, namely, the accounting scandals that occurred involving Enron/Arthur Andersen and insider-trader allegations related to ImClone. Methods. Given the amount of media attention devoted to these ethical scandals, we test whether respondents in a cross-sectional sample taken over 18 months become less accepting of ethically charged vignettes dealing with ‘‘accounting tricks’’ and ‘‘insider trading’’ over time. Results. We find a significant and gradual decline in the acceptance of the vignettes over the 18-month period. Conclusions. Findings presented here may provide valuable insight into potential triggers of changing ethical attitudes. An intriguing implication of these results is that recent highly publicized ethical breaches may not be only a symptom, but also a cause of changing attitudes.
Towards an ISO Standard for Dialogue Act Annotation

This paper describes an ISO project developing an international standard for annotating dialogue with semantic information, in particular concerning the communicative functions of the utterances, the kind of content they address, and the dependency relations to what was said and done earlier in the dialogue. The project, registered as ISO 24617-2 Semantic annotation framework, Part 2: Dialogue acts”, is currently at DIS stage.
Mitigating Docker Security Issues

Mitigating Docker Security Issues 1 Robail Yasrab 1 School of Computer Science and Information Technology University of Science and Technology of China, (USTC), Hefei China. robail@mail.ustc.edu.cn Abstract: It is very easy to run applications in Docker. Docker offers an ecosystem that offers a platform for application packaging, distributing and managing within containers. However, Docker platform is yet not matured. Presently, Docker is less secured as compare to virtual machines (VM) and most of the other cloud technologies. The key of reason of Docker’s inadequate security protocols is; containers sharing of Linux kernel, which can lead to risk of privileged escalations. This research is going to outline some major security vulnerabilities at Docker and counter solutions to neutralize such attacks. There are variety of security attacks like insider and outsider. This research will outline both types of attacks and their mitigations strategies. Taking some precautionary measures can save from huge disasters. This research will also present Docker secure deployment guidelines. These guidelines will suggest different configurations to deploy Docker containers in a more secure way.
Pancreatic exocrine dysfunction: common in type 3c diabetes, but don't forget types 1 and 2 diabetes mellitus

It is well understood that the pancreas has two distinct roles: the endocrine and exocrine functions, that are functionally and anatomically closely related. As specialists in diabetes care, we are adept at managing pancreatic endocrine failure and its associated complications. However, there is frequent overlap and many patients with diabetes also suffer from exocrine insufficiency. Here we outline the different causes of exocrine failure, and in particular that associated with type 1 and type 2 diabetes and how this differs from diabetes that is caused by pancreatic exocrine disease: type 3c diabetes. Copyright © 2017 John Wiley & Sons. Practical Diabetes 2017; 34(6): 200–204
Improving Cancer Treatment via Mathematical Modeling: Surmounting the Challenges Is Worth the Effort

Drug delivery schedules are key factors in the efficacy of cancer therapies, and mathematical modeling of population dynamics and treatment responses can be applied to identify better drug administration regimes as well as provide mechanistic insights. To capitalize on the promise of this approach, the cancer field must meet the challenges of moving this type of work into clinics.
An Open Virtual Environment for Autonomous Agents Using VRML and Java

We describe a VRML/Java-based virtual environment that is populated with heterogeneous articulated agents. In this simulated environment, agents compete for collecting certain objects while avoiding obstacles and other agents. Environment simulation, agent control, and visualization are distributed using a client/server approach. An important feature of the framework is its openness for novel kinds of agents: user defined agents can be integrated into the environment by supplying VRML models of the agents’ visual appearance and agent control clients that follow a predefined communication protocol. The environment serves as testbed for exploring principles for the design of autonomous, yet instructable agents. Instructability is necessary because agents represent human users. Autonomy is required so as to relieve the human from too much technical detail when directing the agent to approach and to pick up target objects with their manipulators. Autonomy is also necessary to enable the agents to explore the virtual environment in the absence of continuous instructions by the user. CR
Validation of the Kirundi versions of brief self-rating scales for common mental disorders among children in Burundi

BACKGROUND
In Sub Saharan Africa, there has been limited research on instruments to identify specific mental disorders in children in conflict-affected settings. This study evaluates the psychometric properties of three self-report scales for child mental disorder in order to inform an emerging child mental health programme in post-conflict Burundi.


METHODS
Trained lay interviewers administered local language versions of three self-report scales, the Depression Self-Rating Scale (DSRS), the Child PSTD Symptom Scale (CPSS) and the Screen for Child Anxiety Related Emotional Disorders (SCARED-41), to a sample of 65 primary school children in Burundi. The test scores were compared with an external 'gold standard' criterion: the outcomes of a comprehensive semistructured clinical psychiatric interview for children according the DSM-IV criteria (the Schedule for Affective Disorders and Schizophrenia for School-Age Children - K-SADS-PL).


RESULTS
The DSRS has an area under the curve (AUC) of 0.85 with a confidence interval (c.i.) of 0.73-0.97. With a cut-off point of 19, the sensitivity was 0.64, and the specificity was 0.88. For the CPSS, with a cut-off point of 26, the AUC was 0.78 (c.i.: 0.62-0.95) with a sensitivity of 0.71 and a specificity of 0.83. The AUC for the SCARED-41, with a cut-off point of 44, was 0.69 (c.i.: 0.54-0.84) with a sensitivity of 0.55 and a specificity of 0.90.


CONCLUSIONS
The DSRS and CPSS showed good utility in detecting depressive disorder and posttraumatic stress disorder in Burundian children, but cut-off points had to be put considerably higher than in western norm populations. The psychometric properties of the SCARED-41 to identify anxiety disorders were less strong. The DSRS and CPSS have acceptable properties, and they could be used in clinical practice as part of a two-stage screening procedure in public mental health programmes in Burundi and in similar cultural and linguistic settings in the African Great Lakes region.
Is diabetes treated as an acute or chronic illness in community family practice?

OBJECTIVE
Poor quality of diabetes care has been ascribed to the acute care focus of primary care practice. A better understanding of how time is spent during outpatient visits for diabetes compared with visits for acute conditions and other chronic diseases may facilitate the design of programs to enhance diabetes care.


RESEARCH DESIGN AND METHODS
Research nurses directly observed consecutive outpatient visits during two separate days in 138 community family physician offices. Time use was categorized into 20 different behaviors using the Davis Observation Code (DOC). Time use was compared for visits for diabetes, other chronic conditions, and acute illnesses during 1,867 visits by patients > or =40 years of age.


RESULTS
Of 20 DOC behavioral categories, 10 exhibited differences among the three groups. Discriminant analysis identified two distinct factors that distinguished visits for chronic disease from visits for acute illness and visits for diabetes from those for other chronic diseases. Compared with visits for other chronic diseases, visits for diabetes devoted a greater proportion of time to nutrition counseling, health education, and feedback on results and less time to chatting. Compared with visits for acute illness, visits for diabetes were longer and involved a higher proportion of dietary advice, negotiation, and assessment of compliance.


CONCLUSIONS
Visits for diabetes are distinct from visits for other chronic diseases and acute illnesses in ways that may facilitate patient self-management. Novel quality-improvement interventions could support and expand existing differences between family physicians' current approaches to care of diabetes and other chronic and acute illnesses.
The Cosmic-Ray Contribution to Galactic Abundances of the Light Elements : Interpretation of GCR LiBeB Abundance Measurements from ACE / CRIS

Inelastic collisions between the galactic cosmic rays (GCRs) and the interstellar medium (ISM) are responsible for producing essentially all of the light elements Li, Be, and B (LiBeB) observed in the cosmic rays. Previous calculations (e.g., [1]) have shown that GCR fragmentation can explain the bulk of the existing LiBeB abundance in the present day Galaxy. However, elemental abundances of LiBeB in old halo stars indicate inconsistencies with this explanation. We have used a simple leaky-box model to predict the cosmic-ray elemental and isotopic abundances of LiBeB in the present epoch. We conducted a survey of recent scientific literature on fragmentation cross sections and have calculated the amount of uncertainty they introduce into our model. The predicted particle intensities of this model were compared with high energy (EisM=200-500 MeV/nucleon) cosmic-ray data from the Cosmic Ray Isotope Spectrometer (CRIS), which indicates fairly good agreement with absolute fluxes for Z?:. 5 and relative isotopic abundances for all LiBeB species.
Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index

This paper proposes genetic algorithms (GAs) approach to feature discretization and the determination of connection weights for artificial neural networks (ANNs) to predict the stock price index. Previous research proposed many hybrid models of ANN and GA for the method of training the network, feature subset selection, and topology optimization. In most of these studies, however, GA is only used to improve the learning algorithm itself. In this study, GA is employed not only to improve the learning algorithm, but also to reduce the complexity in feature space. GA optimizes simultaneously the connection weights between layers and the thresholds for feature discretization. The genetically evolved weights mitigate the well-known limitations of the gradient descent algorithm. In addition, globally searched feature discretization reduces the dimensionality of the feature space and eliminates irrelevant factors. Experimental results show that GA approach to the feature discretization model outperforms the other two conventional models. q 2000 Published by Elsevier Science Ltd.
Deep-plane face-lift vs superficial musculoaponeurotic system plication face-lift: a comparative study.

OBJECTIVE
To evaluate deep-plane face-lift vs superficial musculoaponeurotic system (SMAS) plication face-lift in correcting the melolabial fold, jowl, and cheek areas of the face in short-term follow-up.


DESIGN
Masked, randomized review by 4 board-certified facial plastic surgeons experienced in rhytidectomy of full-face (frontal, oblique, and lateral views) before-and-after photographs of 20 patients who underwent deep-plane face-lift and 20 who underwent SMAS plication face-lift. Participants rated the melolabial fold, jowl, and cheek areas for overall correction of the deformities pertaining to the aesthetic results for deep-plane vs SMAS plication face-lift. Categories were excellent, good, average, acceptable, and poor.


RESULTS
Three categories of results were determined: best, average, and poorest. Overall, SMAS plication face-lifts scored higher than deep-plane face-lifts. In the best category, there were more SMAS plication face-lifts. In the average category, there were more deep-plane face-lifts. In the poorest category, there were equal numbers of deep-plane and SMAS face-lifts. Patients were divided into the following age groups: 50 to 59, 60 to 69, and 70 to 80 years. In the 2 younger groups, SMAS face-lifts scored higher than deep-plane face-lifts. In the oldest group, deep-plane face-lifts scored slightly higher than SMAS face-lifts.


CONCLUSION
Deep-plane face-lift does not seem to offer superior results over SMAS plication face-lift in patients younger than 70 years.