LLukas22/scidocs huggingface dataset:
Effect of a nutrition education programme on clinical status and dietary behaviours of adults with type 2 diabetes in a resource-limited setting in South Africa: a randomised controlled trial.

OBJECTIVE
To evaluate the effect of a participant-customised nutrition education programme on glycated Hb (HbA(1c)), blood lipids, blood pressure, BMI and dietary behaviours in patients with type 2 diabetes mellitus.


DESIGN
A randomised controlled trial. The control group (n 41) received education materials. The intervention group (n 41) received the same education materials and participated in eight weekly (2-2·5 h) group nutrition education sessions and follow-up sessions. Outcomes were assessed at 6 and 12 months. An intention-to-treat analysis was conducted. ANCOVA compared the groups (adjustments for baseline values, age, sex and clinic).


SETTING
Two community health centres, Moretele sub-district (North West Province), South Africa.


SUBJECTS
Adults (aged 40-70 years) with type 2 diabetes, HbA(1c) ≥8 %.


RESULTS
Differences in HbA(1c) (primary outcome) were -0·64 % (P=0·15) at 6 months and -0·63 % (P=0·16) at 12 months in favour of the intervention group. Starchy-food intake was significantly lower in the intervention group, 9·3 v. 10·8 servings/d (P=0·005) at 6 months and 9·9 v. 11·9 servings/d (P=0·017) at 12 months. Median energy intake was significantly lower in the intervention group at 12 months (5988 v. 6946 kJ/d, P=0·017). No significant group differences in BMI, lipid profile, blood pressure and intakes of macronutrients, vegetables and fruits were observed.


CONCLUSIONS
Nutrition education was not efficacious on HbA(1c); however, it improved specific dietary behaviours. Group education and hands-on activities appeared to contribute to the improvement. Optimal goal setting and self-efficacy training/assessment could benefit future nutrition education programmes for people with type 2 diabetes mellitus in resource-limited settings.
Kidney volume and functional outcomes in autosomal dominant polycystic kidney disease.

BACKGROUND AND OBJECTIVES
Autosomal dominant polycystic kidney disease (ADPKD) is characterized by increased total kidney volume (TKV) and renal failure. This study aimed to determine if height-adjusted TKV (htTKV) predicts the onset of renal insufficiency.


DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS
This prospective, observational, longitudinal, multicenter study included 241 adults with ADPKD and preserved renal function. Magnetic resonance imaging and iothalamate clearance were used to measure htTKV and GFR, respectively. The association between baseline htTKV and the attainment of stage 3 CKD (GFR <60 ml/min per 1.73 m(2)) during follow-up was determined.


RESULTS
After a mean follow-up of 7.9 years, stage 3 CKD was attained in 30.7% of the enrollees. Using baseline htTKV, negative correlations with GFR increased from -0.22 at baseline to -0.65 at year 8. In multivariable analysis, a baseline htTKV increase of 100 cc/m significantly predicted the development of CKD within 8 years with an odds ratio of 1.48 (95% confidence interval: 1.29, 1.70). In receiver operator characteristic curve analysis, baseline htTKV of 600 cc/m most accurately defined the risk of developing stage 3 CKD within 8 years with an area under the curve of 0.84 (95% confidence interval: 0.79, 0.90). htTKV was a better predictor than baseline age, serum creatinine, BUN, urinary albumin, or monocyte chemotactic protein-1 excretion (P<0.05).


CONCLUSIONS
Baseline htTKV ≥600 cc/m predicted the risk of developing renal insufficiency in ADPKD patients at high risk for renal disease progression within 8 years of follow-up, qualifying htTKV as a prognostic biomarker in ADPKD.
High-performance current differencing transconductance amplifier and its application in precision current-mode rectification

A CMOS-based circuit for realization of high-performance current differencing transconductance amplifier (CDTA) is demonstrated. The proposed circuit offers the advantages of a wide frequency bandwidth and very small input terminal impedance. The results of circuit simulations and an application example are given to illustrate the advantages of the proposed circuit for precise high-frequency signal rectification. 2007 Elsevier GmbH. All rights reserved.
Querying archetype-based EHRs by search ontology-based XPath engineering

BACKGROUND
Legacy data and new structured data can be stored in a standardized format as XML-based EHRs on XML databases. Querying documents on these databases is crucial for answering research questions. Instead of using free text searches, that lead to false positive results, the precision can be increased by constraining the search to certain parts of documents.


METHODS
A search ontology-based specification of queries on XML documents defines search concepts and relates them to parts in the XML document structure. Such query specification method is practically introduced and evaluated by applying concrete research questions formulated in natural language on a data collection for information retrieval purposes. The search is performed by search ontology-based XPath engineering that reuses ontologies and XML-related W3C standards.


RESULTS
The key result is that the specification of research questions can be supported by the usage of search ontology-based XPath engineering. A deeper recognition of entities and a semantic understanding of the content is necessary for a further improvement of precision and recall. Key limitation is that the application of the introduced process requires skills in ontology and software development. In future, the time consuming ontology development could be overcome by implementing a new clinical role: the clinical ontologist.


CONCLUSION
The introduced Search Ontology XML extension connects Search Terms to certain parts in XML documents and enables an ontology-based definition of queries. Search ontology-based XPath engineering can support research question answering by the specification of complex XPath expressions without deep syntax knowledge about XPaths.
Modeling and Simulation of 5 DOF educational robot arm

Many universities and institutes experience difficulty in training people to work with expensive equipments. A common problem faced by educational institutions concerns the limited availability of expensive robotics equipments, with which students in the didactic program can work, in order to acquire valuable “ha nds on” experience. Therefore, the Robot Simulation Software (RSS) nowadays is paramount important.
Paleolimnological investigations of anthropogenic environmental change in Lake Tanganyika: VI. Geochemical indicators

Geochemical signals of bulk sedimentary organic matter from three cores from Lake Tanganyika provided information about both internal processes and terrestrial inputs to the lake. Indications of land use change were detected in the geochemical records of the watersheds, and the timing of these changes was consistent with historical records of population demographics. While C:N ratios suggested that the distance from shore might be important in influencing the relative amount of allochthonous vs. autochthonous material, all cores were dominated by autochthonous organic matter. In general, nitrogen isotopes were more positive at disturbed sites, indicating inputs of enriched soil nitrate that was subsequently taken up by phytoplankton. In contrast, carbon isotopes did not reflect land use patterns, and a post-1950s decline in carbon isotope ratios found in all cores may indicate a lake-wide decrease in productivity. These interpretations were consistent with pollen and climate records.
Phase Ib study of Buparlisib plus Trastuzumab in patients with HER2-positive advanced or metastatic breast cancer that has progressed on Trastuzumab-based therapy.

PURPOSE
Phosphoinositide 3-kinase (PI3K)/AKT/mTOR pathway activation in patients with HER2-positive (HER2(+)) breast cancer has been implicated in de novo and acquired trastuzumab resistance. The purpose of this study was to determine the clinical activity of the PI3K inhibitor buparlisib (BKM120) in patients with HER2(+) advanced/metastatic breast cancer resistant to trastuzumab-based therapy.


EXPERIMENTAL DESIGN
In the dose-escalation portion of this phase I/II study, patients with trastuzumab-resistant locally advanced or metastatic HER2(+) breast cancer were treated with daily oral doses of buparlisib and weekly intravenous trastuzumab (2 mg/kg). Dose escalation was guided by a Bayesian logistic regression model with overdose control.


RESULTS
Of 18 enrolled patients, 17 received buparlisib. One dose-limiting toxicity of grade 3 general weakness was reported at the 100-mg/day dose level (the single-agent maximum tolerated dose) and this dose level was declared the recommended phase II dose (RP2D) of buparlisib in combination with trastuzumab. Common (>25%) adverse events included rash (39%), hyperglycemia (33%), and diarrhea (28%). The pharmacokinetic profile of buparlisib was not affected by its combination with trastuzumab. At the RP2D, there were two (17%) partial responses, 7 (58%) patients had stable disease (≥6 weeks), and the disease control rate was 75%. Pharmacodynamic studies showed inhibition of the PI3K/AKT/mTOR and RAS/MEK/ERK pathways.


CONCLUSIONS
In this patient population, the combination of buparlisib and trastuzumab was well tolerated, and preliminary signs of clinical activity were observed. The phase II portion of this study will further explore the safety and efficacy of this combination at the RP2D. Clin Cancer Res; 20(7); 1935-45. ©2014 AACR.
Effect of pravastatin on cardiovascular events in people with chronic kidney disease.

BACKGROUND
Limited data describe the cardiovascular benefit of HMG-CoA reductase inhibitors (statins) in people with moderate chronic kidney disease (CKD). The objective of this analysis was to determine whether pravastatin reduced the incidence of cardiovascular events in people with or at high risk for coronary disease and with concomitant moderate CKD.


METHODS AND RESULTS
We analyzed data from the Pravastatin Pooling Project (PPP), a subject-level database combining results from 3 randomized trials of pravastatin (40 mg daily) versus placebo. Of 19 700 subjects, 4491 (22.8%) had moderate CKD, defined by an estimated glomerular filtration rate of 30 to 59.99 mL/min per 1.73 m2 body surface area. The primary outcome was time to myocardial infarction, coronary death, or percutaneous/surgical coronary revascularization. Moderate CKD was independently associated with an increased risk of the primary outcome (adjusted HR 1.26, 95% CI 1.07 to 1.49) compared with those with normal renal function. Among the 4491 subjects with moderate CKD, pravastatin significantly reduced the incidence of the primary outcome (HR 0.77, 95% CI 0.68 to 0.86), similar to the effect of pravastatin on the primary outcome in subjects with normal kidney function (HR 0.78, 95% CI 0.65 to 0.94). Pravastatin also appeared to reduce the total mortality rate in those with moderate CKD (adjusted HR 0.86, 95% CI 0.74 to 1.00, P=0.045).


CONCLUSIONS
Pravastatin reduces cardiovascular event rates in people with or at risk for coronary disease and concomitant moderate CKD, many of whom have serum creatinine levels within the normal range. Given the high risk associated with CKD, the absolute benefit that resulted from use of pravastatin was greater than in those with normal renal function.
Switchable Temporal Propagation Network

Color propagation. For color propagation considered in the paper, we train both the basic and switchable TPN networks, for 10 epochs, on the COCO [1] dataset, and then fine-tune them on the ACT [2] dataset for 4 epochs. For both networks we keep the number of training epochs the same to ensure a fair comparison. To pre-train our networks on the COCO image-based dataset, we sample two sets of similarity transformation parameters from s ∈ [0.9, 1.1], θ ∈ [−15, 15] and dx ∈ [−0.1, 0.1] × b, where b = min(H,W ) and use them to create two geometrically transformed versions of each training image. Then we randomly crop 256× 256 sized patches from the same location of the two transformed images. While fine-tuning the models on the ACT video-based dataset, we skip the step of applying geometric transformations to the frames and simply generate a pair of 256× 256 sized patches by randomly cropping from the same location of two different video frames. Additionally, we randomly sample the pairs of video frames to use together, on-the-fly, during training.
Explaining Legal Facts

This paper was presented at the American Philosophical Association's 2007 Berger Prize session. It is a reply to Jeffrey Brand-Ballard's comment on my paper, How Facts Make Law, which was awarded the 2007 Berger Memorial Prize for the outstanding paper in philosophy of law published during 2004 and 2005.
Charles Darwin’s Origin of Species, directional selection, and the evolutionary sciences today

The book On the Origin of Species, published in November 1859, is an “abstract” without references, compiled by Charles Darwin from a much longer manuscript entitled “Natural Selection.” Here, I summarize the five theories that can be extracted from Darwin’s monograph, explain the true meaning of the phrase “struggle for life” (i.e., competition and cooperation), and outline Darwin’s original concept of natural selection in populations of animals and plants. Since neither Darwin nor Alfred R. Wallace distinguished between stabilizing and directional natural selection, the popular argument that “selection only eliminates but is not creative” is still alive today. However, I document that August Weismann (Die Bedeutung der sexuellen Fortpflanzung für die Selektions-Theorie. Gustav Fischer-Verlag, Jena, 1886) and Ivan Schmalhausen (Factors of evolution. The theory of stabilizing selection. The Blackiston Company, Philadelphia, 1949) provided precise definitions for directional (dynamic) selection in nature and illustrate this “Weismann–Schmalhausen principle” with respect to the evolutionary development of novel phenotypes. Then, the modern (synthetic) theory of biological evolution that is based on the work of Theodosius Dobzhansky (Genetics and the origin of species. Columbia University Press, New York, 1937) and others, and the expanded version of this system of theories, are outlined. Finally, I document that symbiogenesis (i.e., primary endosymbiosis, a process that gave rise to the first eukaryotic cells), ongoing directional natural selection, and the dynamic Earth (plate tectonics, i.e., geological events that both created and destroyed terrestrial and aquatic habitats) were the key processes responsible for the documented macroevolutionary patterns in all five kingdoms of life. Since the evolutionary development of the earliest archaic bacteria more than 3,500 mya, the biosphere of our dynamic planet has been dominated by prokaryotic microbes. Eubacteria, Archaea, and Cyanobacteria are, together with eukaryotic microorganisms (marine phytoplankton, etc.), the hidden “winners” in the Darwinian struggle for existence in nature.
Risk of GERD with Diabetes Mellitus, Hypertension and Bronchial Asthma - A Hospital based Retrospective Cohort Study.

INTRODUCTION
The rise in Gastro-Esophageal Reflux Disease (GERD) prevalence appears to have coincided with a simultaneous increase in the prevalence of diabetes mellitus, hypertension and bronchial asthma amongst the Indian population. Despite being evaluated extensively for their role as a risk factor for GERD, till date this relationship has remained a debatable one. Moreover, literature available on such studies conducted within Indian population remains scarce.


AIM
The aim of the present study was to examine the risk of developing GERD in patients suffering from diabetes mellitus, hypertension and asthma in a Southern Indian population. The present retrospective, triple cohort and hospital based study was conducted by accessing the patient records from the medical records department of a tertiary care hospital in Southern India.


MATERIALS AND METHODS
The patient's records were accessed from the year 2011 onwards. Relative Risk (RR) was calculated to determine the risk of development of GERD with every disease. Chi-square test was used to determine the statistical significance of the relationship between each disease and the development of GERD. A p-value of <0.05 was considered statistically significant.


RESULTS
In view of the time constraints as well as the limitations of the inclusion and exclusion criteria, data pertaining to only 40, 71 and 53 patients in Cohort 1 (diabetics), 2 (hypertensives) and 3 (bronchial asthmatics) respectively could be analyzed in the present study. The relative risk of GERD development was greater than 1 for patients belonging to Cohort 2 and 3, suggesting that the risk of GERD development is higher amongst hypertensives and asthmatics. Surprisingly, the diabetics (Cohort 1) were not associated with a high risk of GERD development. However, the relationship between any of the disease and GERD development was not statistically significant.


CONCLUSION
The present study found an increased risk of GERD development amongst patients suffering from hypertension and bronchial asthma, but not with diabetes mellitus.
Dynamic Game Balancing: An Evaluation of User Satisfaction

User satisfaction in computer games seems to be influenced by game balance, the level of challenge faced by the user. This work presents an evaluation, performed by human players, of dynamic game balancing approaches. The results indicate that adaptive approaches are more effective. This paper also enumerates some issues encountered in evaluating users’ satisfaction, in the context of games, and depicts some learned lessons.
Smart parking systems and sensors: A survey

In this paper, we explore the concept of the smart parking system and their categories. The classifications of various existing systems are explained. The parking system handles various technologies, and the categories of those techniques are given. The functions of the nodes in wireless sensor networks are classified.
Trajectory generation and control for four wheeled omnidirectional vehicles

This paper describes an algorithm to calculate near-optimal minimum time trajectories for four wheeled omnidirectional vehicles, which can be used as part of a high-level path planner. The algorithm is based on a relaxed optimal control problem. It takes limited friction and vehicle dynamics into account, as encountered in high-performance omnidirectional vehicles. The low computational complexity makes the application in real-time feasible. An implementation of the algorithm on a real vehicle is presented and discussed. c © 2005 Elsevier B.V. All rights reserved.
The economic and social burden of malaria

Where malaria prospers most, human societies have prospered least. The global distribution of per-capita gross domestic product shows a striking correlation between malaria and poverty, and malaria-endemic countries also have lower rates of economic growth. There are multiple channels by which malaria impedes development, including effects on fertility, population growth, saving and investment, worker productivity, absenteeism, premature mortality and medical costs.
Carbon Nanotube SRAM Design With Metallic CNT or Removed Metallic CNT Tolerant Approaches

A study of an eight-transistor static random access memory (SRAM) cell and its implementation in carbon nanotube FET (CNTFET) technology are presented. Simulations of the CNTFET SRAM cell design, using a CNT SPICE model, have shown advantages over the CMOS cell in terms of static power, dynamic power, and noise margin. However, current CNT synthesis processes grow metallic CNTs alongside semiconductor CNTs. This in turn greatly degrades the performance and functionality of SRAM cells. In this paper, we present and compare two approaches to overcome the presence of metallic CNTs. The first approach tolerates metallic CNTs and uses a series of uncorrelated CNTs to form a transistor; this provides tolerance to metallic CNTs. The second approach uses an M × N array of uncorrelated CNTs to form a CNTFET and requires technologies capable of removing metallic CNTs. Both approaches have similar static noise margin. The second approach (removed metallic CNTs) consumes 1.45× more static power; on the other hand, its CNT count and write delay are reduced to 35.6% and 10.9% of the metallic tolerant approach, respectively. The realization of large memory modules in the presence of faulty SRAM cells can be achieved by having memory modules with as few as two spare columns.
Long term follow-up of Parkinson's disease patients with impulse control disorders.

OBJECTIVE
Impulse control disorders (ICDs) are mainly triggered by dopaminergic therapy in Parkinson's disease (PD). Previously, we failed to identify a relationship between the types of dopaminergic therapy and occurrence of ICDs in 33 PD patients. In this study, we aim to evaluate the outcome of ICD behaviors in the same patient group.


PATIENTS AND METHODS
Among 33 patients with ICDs, 22 patients were included. Demographics, dopaminergic therapy and disease severity were compared between two time points (Time 1: time of diagnosis of ICD, Time 2: last visit) and between patients who recovered from ICDs and with ongoing ICDs. Types of antipsychotic and antidepressant medication were noted.


RESULTS
Mean follow-up period was 43.2 months. At Time 2 mean dopamine agonist (DA) dose was significantly lower, levodopa dose and total UPDRS score was significantly higher. ICDs were dissolved in 16 patients (73%), but persisted in six (27%). In ICD(+) subgroup, DA doses in Time 1 was found significantly higher than ICD(-). However, age, PD severity, disease duration and levodopa dosage were similar. Fourteen patients were prescribed atypical antipsychotics and 13 antidepressants. In ICD(+) group, symptoms of ICDs were mainly increased libido and compulsive eating.


CONCLUSIONS
Although we studied a small number of patients the recovery from compulsive behaviors may be associated with the decrease in DA dosage and increase in levodopa. Furthermore, majority were given antipsychotic and/or antidepressant drugs. It is difficult to speculate which strategy could be more effective on the improvement of ICDs in such a small group. In patients who were on high doses of DA, ICDs could be persistent.
Inferring 3D Object Pose in RGB-D Images

The goal of this work is to replace objects in an RGB-D scene with corresponding 3D models from a library. We approach this problem by first detecting and segmenting object instances in the scene using the approach from Gupta et al. [13]. We use a convolutional neural network (CNN) to predict the pose of the object. This CNN is trained using pixel normals in images containing rendered synthetic objects. When tested on real data, it outperforms alternative algorithms trained on real data. We then use this coarse pose estimate along with the inferred pixel support to align a small number of prototypical models to the data, and place the model that fits the best into the scene. We observe a 48% relative improvement in performance at the task of 3D detection over the current state-of-the-art [33], while being an order of magnitude faster at the same time.