LLukas22/scidocs huggingface dataset:
Assessment of medication adherence app features, functionality, and health literacy level and the creation of a searchable Web-based adherence app resource for health care professionals and patients.

OBJECTIVES
To assess the features and level of health literacy (HL) of available medication adherence apps and to create a searchable website to assist health care providers (HCP) and patients identify quality adherence apps.


PRACTICE DESCRIPTION
Medication nonadherence continues to be a significant problem and leads to poor health outcomes and avoidable health care expense. The average adherence rate for chronic medications, regardless of disease state, is approximately 50% leaving significant room for improvement.


PRACTICE INNOVATION
Smartphone adherence apps are a novel resource to address medication nonadherence. With widespread smartphone use and the growing number of adherence apps, both HCP and patients should be able to identify quality adherence apps to maximize potential benefits.


INTERVENTIONS
Assess the features, functionality and level of HL of available adherence apps and create a searchable website to help both HCP and patients identify quality adherence apps.


EVALUATION
Online marketplaces (iTunes, Google Play, Blackberry) were searched in June of 2014 to identify available adherence apps. Online descriptions were recorded and scored based on 28 author-identified features across 4 domains. The 100 highest-scoring apps were user-tested with a standardized regimen to evaluate their functionality and level of HL.


RESULTS
461 adherence apps were identified. 367 unique apps were evaluated after removing "Lite/Trial" versions. The median initial score based on descriptions was 15 (max of 68; range: 3 to 47). Only 77 apps of the top 100 highest-scoring apps completed user-testing and HL evaluations. The median overall user-testing score was 30 (max of 73; range: 16 to 55).


CONCLUSION
App design, functionality, and level of HL varies widely among adherence apps. While no app is perfect, several apps scored highly across all domains. The website www.medappfinder.com is a searchable tool that helps HCP and patients identify quality apps in a crowded marketplace.
Biometric Authentication: System Security and User Privacy

While biometric systems aren't foolproof, the research community has made significant strides to identify vulnerabilities and develop measures to counter them.
Hybrid FES-robot cooperative control of ambulatory gait rehabilitation exoskeleton

Robotic and functional electrical stimulation (FES) approaches are used for rehabilitation of walking impairment of spinal cord injured individuals. Although devices are commercially available, there are still issues that remain to be solved. Control of hybrid exoskeletons aims at blending robotic exoskeletons and electrical stimulation to overcome the drawbacks of each approach while preserving their advantages. Hybrid actuation and control have a considerable potential for walking rehabilitation but there is a need of novel control strategies of hybrid systems that adequately manage the balance between FES and robotic controllers. Combination of FES and robotic control is a challenging issue, due to the non-linear behavior of muscle under stimulation and the lack of developments in the field of hybrid control. In this article, a cooperative control strategy of a hybrid exoskeleton is presented. This strategy is designed to overcome the main disadvantages of muscular stimulation: electromechanical delay and change in muscle performance over time, and to balance muscular and robotic actuation during walking. Experimental results in healthy subjects show the ability of the hybrid FES-robot cooperative control to balance power contribution between exoskeleton and muscle stimulation. The robotic exoskeleton decreases assistance while adequate knee kinematics are guaranteed. A new technique to monitor muscle performance is employed, which allows to estimate muscle fatigue and implement muscle fatigue management strategies. Kinesis is therefore the first ambulatory hybrid exoskeleton that can effectively balance robotic and FES actuation during walking. This represents a new opportunity to implement new rehabilitation interventions to induce locomotor activity in patients with paraplegia. Acronym list: 10mWT: ten meters walking test; 6MWT: six minutes walking test; FSM: finite-state machine; t-FSM: time-domain FSM; c-FSM: cycle-domain FSM; FES: functional electrical stimulation; HKAFO: hip-knee-ankle-foot orthosis; ILC: iterative error-based learning control; MFE: muscle fatigue estimator; NILC: Normalized stimulation output from ILC controller; PID: Proportional-Integral-derivative Control; PW: Stimulation pulse width; QUEST: Quebec User Evaluation of Satisfaction with assistive Technology; SCI: Spinal cord injury; TTI: torque-time integral; VAS: Visual Analog Scale.
Evidence of a Double Burden of Malnutrition in Urban Poor Settings in Nairobi, Kenya

BACKGROUND
Many low- and middle-income countries are undergoing a nutrition transition associated with rapid social and economic transitions. We explore the coexistence of over and under- nutrition at the neighborhood and household level, in an urban poor setting in Nairobi, Kenya.


METHODS
Data were collected in 2010 on a cohort of children aged under five years born between 2006 and 2010. Anthropometric measurements of the children and their mothers were taken. Additionally, dietary intake, physical activity, and anthropometric measurements were collected from a stratified random sample of adults aged 18 years and older through a separate cross-sectional study conducted between 2008 and 2009 in the same setting. Proportions of stunting, underweight, wasting and overweight/obesity were dettermined in children, while proportions of underweight and overweight/obesity were determined in adults.


RESULTS
Of the 3335 children included in the analyses with a total of 6750 visits, 46% (51% boys, 40% girls) were stunted, 11% (13% boys, 9% girls) were underweight, 2.5% (3% boys, 2% girls) were wasted, while 9% of boys and girls were overweight/obese respectively. Among their mothers, 7.5% were underweight while 32% were overweight/obese. A large proportion (43% and 37%%) of overweight and obese mothers respectively had stunted children. Among the 5190 adults included in the analyses, 9% (6% female, 11% male) were underweight, and 22% (35% female, 13% male) were overweight/obese.


CONCLUSION
The findings confirm an existing double burden of malnutrition in this setting, characterized by a high prevalence of undernutrition particularly stunting early in life, with high levels of overweight/obesity in adulthood, particularly among women. In the context of a rapid increase in urban population, particularly in urban poor settings, this calls for urgent action. Multisectoral action may work best given the complex nature of prevailing circumstances in urban poor settings. Further research is needed to understand the pathways to this coexistence, and to test feasibility and effectiveness of context-specific interventions to curb associated health risks.
Smartphone as a Personal, Pervasive Health Informatics Services Platform: Literature Review

OBJECTIVES
The article provides an overview of current trends in personal sensor, signal and imaging informatics, that are based on emerging mobile computing and communications technologies enclosed in a smartphone and enabling the provision of personal, pervasive health informatics services.


METHODS
The article reviews examples of these trends from the PubMed and Google scholar literature search engines, which, by no means claim to be complete, as the field is evolving and some recent advances may not be documented yet.


RESULTS
There exist critical technological advances in the surveyed smartphone technologies, employed in provision and improvement of diagnosis, acute and chronic treatment and rehabilitation health services, as well as in education and training of healthcare practitioners. However, the most emerging trend relates to a routine application of these technologies in a prevention/wellness sector, helping its users in self-care to stay healthy.


CONCLUSIONS
Smartphone-based personal health informatics services exist, but still have a long way to go to become an everyday, personalized healthcare-provisioning tool in the medical field and in a clinical practice. Key main challenge for their widespread adoption involve lack of user acceptance striving from variable credibility and reliability of applications and solutions as they a) lack evidence- based approach; b) have low levels of medical professional involvement in their design and content; c) are provided in an unreliable way, influencing negatively its usability; and, in some cases, d) being industry-driven, hence exposing bias in information provided, for example towards particular types of treatment or intervention procedures.
Long term consequences of gastrectomy for patients’ quality of life: the impact of reconstructive techniques

Objective:During recent years considerable interest has been focused on quality of life as an additional therapeutic outcome measure in the surgical treatment of gastric carcinoma. However, the long term consequences of gastrectomy and the impact on quality of life of different reconstructive techniques are still a matter of controversy. To broaden the criteria for choice of treatment, we conducted a prospective randomized clinical trial to determine the impact of various gastrectomy procedures on quality of life during a 5-yr follow-up period.Methods:Consecutive patients (n= 64) eligible for curative gastric cancer surgery were randomized to have either total (n= 31) or subtotal (n= 13) gastrectomy or a jejunal S-shaped pouch (n= 20) as a gastric substitute after total gastrectomy. Assessments of quality of life were made on seven occasions during a 5-yr period: within 1 wk before surgery, 3 and 12 months after the surgical intervention, and then once/yr. All patients were interviewed by one of two psychiatrists, who rated their symptoms and introduced standardized self-report questionnaires covering both general and specific aspects of life. The raters were blinded for the patients’ group affiliations.Results:Survival rates were similar in all treatment groups. Patients who had a total gastrectomy continued to suffer from alimentary symptoms, especially indigestion and diarrhea, during the entire follow-up period. However, patients who underwent subtotal gastrectomy had a significantly better outcome already during the first postoperative yr. Patients given a gastric substitute after gastrectomy improved with the passage of time and had an even better outcome in the long run.Conclusions:To optimize the rehabilitation after gastrectomy, patients’ quality of life must be taken into consideration. When subtotal gastrectomy is clinically feasible, this procedure has advantages in the early postoperative period. However, a pouch reconstruction after total gastrectomy should be considered in patients having a favorable tumor status suggesting a fair chance of long term survival.
Pink esthetics in periodontics – Gingival depigmentation: A case series

Smile expresses a feeling of joy, success, sensuality, affection, and courtesy, and reveals self-confidence and kindness. The harmony of the smile is determined not only by the shape, the position, and the color of the teeth, but also by the gingival tissues. Although melanin pigmentation of the gingiva is completely benign and does not present a medical problem, complaints of "black gums" are common, particularly in patients having a very high smile line. Thus, perio-esthetic treatment modalities strive to achieve a harmonious inter-relationship of the pink with white, which is imperative of all treatment procedures. For depigmentation of gingival, different treatment modalities have been reported, such as bur abrasion, scraping, partial thickness flap, cryotherapy, electrosurgery, and laser. In the present case series, scraping, electrosurgery, and diode laser have been tried for depigmentation, which are simple, effective, and yield good results, along with good patient satisfaction.
A comparison of the impact of isotope ((125)I vs. (103)Pd) on toxicity and biochemical outcome after interstitial brachytherapy and external beam radiation therapy for clinically localized prostate cancer.

PURPOSE
To compare biochemical outcomes and morbidity associated with iodine-125 ((125)I) and palladium-103 ((103)Pd) brachytherapy as part of combined modality therapy for clinically localized prostate cancer.


METHODS AND MATERIALS
Between October 2002 and December 2008, 259 patients underwent prostate brachytherapy ((125)I prescription dose, 110Gy: n=199; (103)Pd prescription dose, 100Gy: n=60) followed by external beam radiotherapy (median dose, 50.4Gy). Eighty-seven patients also received neoadjuvant androgen deprivation therapy. Toxicities were recorded with CTCAE v 3.0, International Prostate Symptoms Score (IPSS), and International Index of Erectile Function questionnaires.


RESULTS
Overall, acute Grade ≥2 genitourinary toxicity occurred in 21% and 30% of patients treated with (125)I and (103)Pd, respectively (p=0.16). There were no significant differences in IPSS change or urinary quality-of-life scores between the isotopes at 4, 6, or 12 months (p=0.20, 0.21, and 1.0, respectively). IPSS resolution occurred at a median of 11 and 6 months for (125)I and (103)Pd patients, respectively (p=0.03). On multivariate analysis, only the use of neoadjuvant androgen deprivation therapy was predictive of time to IPSS resolution (p=0.046). Late Grade ≥2 gastrointestinal toxicity occurred in 7% of (125)I patients and 6% of patients treated with (103)Pd. Of 129 potent patients at baseline, there was better erectile function in patients who received (103)Pd (p=0.02); however, the followup was shorter for these patients. The 5-year prostate-specific antigen relapse-free survival for (125)I and (103)Pd patients was 95.2% and 98.2% (p=0.73), respectively.


CONCLUSION
There were no differences in acute or long-term genitourinary or gastrointestinal toxicity between (125)I and (103)Pd in combined modality therapy for prostate cancer. There may be less erectile toxicity with the use of (103)Pd; however, additional followup of these patients is needed. There was no significant difference in 5-year prostate-specific antigen relapse-free survival between (103)Pd and (125)I.
Performance of Syariah and Composite Indices: Evidence from Bursa Malaysia

This study provides new evidence on the risk and return performance of the Kuala Lumpur Syariah Index (KLSI) and the Kuala Lumpur Composite Index (KLCI). An Islamic stock market index such as KLSI selects stocks according to Islamic laws, and thus has a more stringent screening process than its conventional counterpart, KLCI. Our results, however, provide no evidence of significant statistical differences in riskadjusted returns between Islamic and conventional stock market indices during 1999– 2005. We also employ the causality and Johansen cointegration tests to examine their shortand long-run relationships. Besides a significant short-run presence of bidirectional causality, the long-term equilibrium indicates that both indices move in tandem. This suggests that the movement in KLCI gives a good indication as to where KLSI will move in the short-run and long-run. Therefore, prediction of one based on the other is constructive.
Ontology of Observing : The Biological Foundations of Self-Consciousness and of The Physical Domain of Existence

5 Objectivity in parentheses 7 5.0 Illusion and Perception: the traditional approach . . . . . . . . . . . . . . . . . . . . . 7 5.1 An Invitation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 5.2 Objectivity in parentheses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 5.3 The Universum versus the Multiversa . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Does Migration Cause Extreme Voting

The 2004 accession of 8 Eastern European countries (plus Cyprus and Malta) to the European Union (EU) was overshadowed by feared mass migration of workers from Eastern Europe due to the EU’s rules on free mobility of labour. While many incumbent EU countries imposed temporary restrictions on labour mobility, the United Kingdom did not. We document that following EU accession more than 1 million people (ca. 3% of the UK working age population) migrated from Eastern Europe to the UK. Places that received large numbers of migrants from Eastern Europe saw small, but statistically significant increases in the vote shares for the UK Independence Party (UKIP) in elections to the European Parliament. We argue that these estimates are likely lower bounds of the effect of migration on overall anti-European sentiment. We show that the migration wave lowered wages at the bottom end of the wage distribution and contributed to increased pressure on public services and housing.
Scenario-Based Software Architecture Evaluation Methods : An Overview

Software analysis and evaluation becomes a well-established practice inside the architecting community of the software systems. The development effort, the time and costs of complex systems are considerably high. In order to assess system's quality against the requirements of its customers, the architects and the developers need methods and tools to support them during the evaluation process. Different research groups have taken such initiatives and are proposing various methods for software architecture quality evaluation.
The submodular knapsack polytope

The submodular knapsack set is the discrete lower level set of a submodular function. The modular case reduces to the classical linear 0-1 knapsack set. One motivation for studying the submodular knapsack polytope is to address 0-1 programming problems with uncertain coefficients. Under various assumptions, a probabilistic constraint on 0-1 variables can be modeled as a submodular knapsack set. In this paper we describe cover inequalities for the submodular knapsack set and investigate their lifting problem. Each lifting problem is itself an optimization problem over a submodular knapsack set. We give sequence-independent upper and lower bounds on the valid lifting coefficients and show that whereas the upper bound can be computed in polynomial time, the lower bound problem is NP-hard. Furthermore, we present polynomial algorithms based on parametric linear programming and computational results for the conic quadratic 0-1 knapsack case.
A survey on question answering technology from an information retrieval perspective

This article provides a comprehensive and comparative overview of question answering technology. It presents the question answering task from an information retrieval perspective and emphasises the importance of retrieval models, i.e., representations of queries and information documents, and retrieval functions which are used for estimating the relevance between a query and an answer candidate. The survey suggests a general question answering architecture that steadily increases the complexity of the representation level of questions and information objects. On the one hand, natural language queries are reduced to keyword-based searches, on the other hand, knowledge bases are queried with structured or logical queries obtained from the natural language questions, and answers are obtained through reasoning. We discuss different levels of processing yielding bagof-words-based and more complex representations integrating part-of-speech tags, classification of the expected answer type, semantic roles, discourse analysis, translation into a SQL-like language and logical representations. 2011 Elsevier Inc. All rights reserved.
Exploiting graph kernels for high performance biomedical relation extraction

BACKGROUND
Relation extraction from biomedical publications is an important task in the area of semantic mining of text. Kernel methods for supervised relation extraction are often preferred over manual feature engineering methods, when classifying highly ordered structures such as trees and graphs obtained from syntactic parsing of a sentence. Tree kernels such as the Subset Tree Kernel and Partial Tree Kernel have been shown to be effective for classifying constituency parse trees and basic dependency parse graphs of a sentence. Graph kernels such as the All Path Graph kernel (APG) and Approximate Subgraph Matching (ASM) kernel have been shown to be suitable for classifying general graphs with cycles, such as the enhanced dependency parse graph of a sentence. In this work, we present a high performance Chemical-Induced Disease (CID) relation extraction system. We present a comparative study of kernel methods for the CID task and also extend our study to the Protein-Protein Interaction (PPI) extraction task, an important biomedical relation extraction task. We discuss novel modifications to the ASM kernel to boost its performance and a method to apply graph kernels for extracting relations expressed in multiple sentences.


RESULTS
Our system for CID relation extraction attains an F-score of 60%, without using external knowledge sources or task specific heuristic or rules. In comparison, the state of the art Chemical-Disease Relation Extraction system achieves an F-score of 56% using an ensemble of multiple machine learning methods, which is then boosted to 61% with a rule based system employing task specific post processing rules. For the CID task, graph kernels outperform tree kernels substantially, and the best performance is obtained with APG kernel that attains an F-score of 60%, followed by the ASM kernel at 57%. The performance difference between the ASM and APG kernels for CID sentence level relation extraction is not significant. In our evaluation of ASM for the PPI task, ASM performed better than APG kernel for the BioInfer dataset, in the Area Under Curve (AUC) measure (74% vs 69%). However, for all the other PPI datasets, namely AIMed, HPRD50, IEPA and LLL, ASM is substantially outperformed by the APG kernel in F-score and AUC measures.


CONCLUSIONS
We demonstrate a high performance Chemical Induced Disease relation extraction, without employing external knowledge sources or task specific heuristics. Our work shows that graph kernels are effective in extracting relations that are expressed in multiple sentences. We also show that the graph kernels, namely the ASM and APG kernels, substantially outperform the tree kernels. Among the graph kernels, we showed the ASM kernel as effective for biomedical relation extraction, with comparable performance to the APG kernel for datasets such as the CID-sentence level relation extraction and BioInfer in PPI. Overall, the APG kernel is shown to be significantly more accurate than the ASM kernel, achieving better performance on most datasets.
Embedded System Design and Implementation of an Intelligent Electronic Differential System for Electric Vehicles

This paper presents an experimental study of the electronic differential system with four-wheel, dual-rear in wheel motor independently driven an electric vehicle. It is worth bearing in mind that the electronic differential is a new technology used in electric vehicle technology and provides better balancing in curved paths. In addition, it is more lightweight than the mechanical differential and can be controlled by a single controller. In this study, intelligently supervised electronic differential design and control is carried out for electric vehicles. Embedded system is used to provide motor control with a fuzzy logic controller. High accuracy is obtained from experimental study. Keywords—Electronic differential; electric vehicle; embedded system; fuzzy logic controller; in-wheel motor