LLukas22/scidocs huggingface dataset:
Transcatheter Closure of Coronary Artery Fistulae: Considerations and Approaches Based on Fistula Origin.

OBJECTIVES
To investigate technical approaches for transcatheter closure of coronary artery fistula based on anatomic type of the fistula.


BACKGROUND
The variability in coronary artery fistulae (CAF) anatomy that necessitates different transcatheter closure (TCC) approaches has not been well documented.


METHODS
Records of patients with CAF who underwent TCC at 2 centers were reviewed for technical details and procedural outcome. CAF were classified as proximal and distal. TCC approaches employed were arterio-venous or arterio-arterial loop, retrograde arterial, and antegrade venous.


RESULTS
Eighteen patients with CAF, mean age 12.6 years (0.07-60), 11 male (61%), underwent TCC. All CAF drained predominantly into the right side of the heart. Types of CAF were proximal in 15 and distal in 3 patients. CAF calibers were large in 7, medium in 9, and small in 2 patients. The arterio-venous loop approach was used in the majority of the cases (11 patients) and the CAF size were medium to large. The retrograde arterial approach was used in 4; of these, 3 patients had small to medium sized CAF. In 2 patients with long tortuous CAF an antegrade venous approach was employed. TCC was successful in 17 of the 18 patients (94.4%). There were no peri-procedural deaths or vascular complications.


CONCLUSIONS
This study documents transcatheter closure approaches for CAF and device selection based on fistula origin. The choices of TCC technique and device selection vary, and are primarily determined by the heterogeneous anatomic characteristics of the fistulae.
Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine.

Using memristor crossbar arrays to accelerate computations is a promising approach to efficiently implement algorithms in deep neural networks. Early demonstrations, however, are limited to simulations or small-scale problems primarily due to materials and device challenges that limit the size of the memristor crossbar arrays that can be reliably programmed to stable and analog values, which is the focus of the current work. High-precision analog tuning and control of memristor cells across a 128 × 64 array is demonstrated, and the resulting vector matrix multiplication (VMM) computing precision is evaluated. Single-layer neural network inference is performed in these arrays, and the performance compared to a digital approach is assessed. Memristor computing system used here reaches a VMM accuracy equivalent of 6 bits, and an 89.9% recognition accuracy is achieved for the 10k MNIST handwritten digit test set. Forecasts show that with integrated (on chip) and scaled memristors, a computational efficiency greater than 100 trillion operations per second per Watt is possible.
Change in Teacher Efficacy and Student Self- and Task-Related Beliefs in Mathematics during the Transition to Junior High School.

In a longitudinal study of 1,329 students and the teachers they had for mathematics before and after the transition to junior high school, the relation between students' beliefs in mathematics and their teachers' sense of efficacy is examined. Using repeated measures multivariate analysis of variance, we found that the rate of change within the school year in students' expectancies, perceived performance, and perceived task difficulty in math differed at Years I and 2, depending on teacher efficacy before and after the transition. Students who moved from highto lowefficacy math teachers during the transition ended the junior high year with the lowest expectancies and perceived performance (even lower than students who had low efficacy teachers both years) and the highest perceptions of task difficulty. The differences in preand posttransition teachers' views of their efficacy had a stronger relationship to low-achieving than to highachieving students' beliefs in mathematics.
Non-edible oils as the potential source for the production of biodiesel in India: a review.

As the stock of fossil fuels diminishing throughout the world and demands for energy based comforts and mobility ever increasing, so there is a need to increase biodiesel production. Bio diesel is an alternative diesel fuel prepared from renewable resources and is most popular as an alternative energy sources because it is non toxic and biodegradable . India has great potential for production of biodiesel from non-edible oil seeds. From about 100 varieties of oil seeds, only 10-12 varieties have been tapped so far. The promising non-edible sources in India are Madhuca Indica (Mahua) ,Jatropha curcas(Ratan Jyot), Pongamia pinnata (Karanja) and Melia azadirachta (Neem). This review paper assesses and integrates the biological, chemical and genetic attributes of the plant and describes about the different tree borne oilseeds in India, Extraction of oil from tree borne oilseeds , properties ,composition and future potential of bio diesel If the developed process is scaled up to commercial levels then excellent business opportunity will be offered by the biodiesel and it could be a major step towards the creation of an eco-friendly transportation fuel that is relatively clean on combustion and provides farmers with substantial income.
Evaluative Research on Reminiscence Partnership Program for Elderly Persons in Community

The current paper examined the effect of group 
reminiscence for the community-dwelling elderly persons using 
cross-generational approach. The study was framed by Reminiscence 
Partnership Program that encompassed the intervention of 
reminiscence group, the training of the university students and the 
professionals of health and social division, and the evaluation. 
Sixteen elderly persons participated in the reminiscence group. They 
were divided into two groups of 8. They attended an hour-long 
group session once every two weeks over three months. The 
themes of the group were chronological and non-chronological, with 
the use of props of the local community. Evaluation of the program 
included pre- and post-test of MMSE, the Activity Scale of TMIG and Baum Test as well as focus group interview. The results of 
the focus group conducted to both the elderly and the students 
brought to light the socio- cultural and interactional aspect of 
group. It was suggested that the group reminiscence was effective 
for the elderly participants to bring out a sense of confidence 
towards the continuity of self. On the part of the students, it was 
found that it enhanced the students' learning in the possibilities in 
aging and their reflection on themselves as future career. A 
conceptual model is proposed in understanding the multi-dimensional 
effects of reminiscence intervention. The differences in the group 
development and dynamics between the two groups are also 
described. Themes of reminiscence and some ethical considerations 
in conducing reminiscence group are discussed. Evaluative research 
on the intervention of reminiscence group with both qualitative and 
quantitative account is highly invited.
Towards IMIA 2015--the IMIA strategic plan.

OBJECTIVE
To report about the IMIA Strategic Plan 'Towards IMIA 2015'.


METHOD
Starting in 2004 with a survey of member needs, expectations and wishes, an IMIA task force elaborated this plan. It has been updated by IMIA General Assembly members in 2005 and 2006.


RESULTS
A Conceptual Framework for IMIA's strategic plan has been elaborated. The IMIA Strategic Planning Framework stresses the following: (1) IMIA aims to improve biomedical research, clinical practice and public health (VISION); (2) IMIA aims to support investigation and development of advanced information systems and technologies (RESEARCH); (3) IMIA aims that its efforts are carried out in accordance with strict ethical and legal rules (BEHAVIORAL RESPONSIBILITY); (4) IMIA aims to promote education for and about biomedical informatics (EDUCATION); (5) IMIA aims to bridge relevant internal and external groups and organizations (RELATIONSHIP); (6) IMIA aims to incorporate multiple individuals, groups and organizations to constitute the IMIA Association. (REACH).


CONCLUSIONS
IMIA plays a major global role in the application of information science and technology in the fields of healthcare and research in medical, health and bio informatics. This framework provides IMIA with an excellent opportunity to focus its plans to ensure the highest probability of success is possible.
Occupational therapy home programs for cerebral palsy: double-blind, randomized, controlled trial.

OBJECTIVE
The goal was to assess the effectiveness of an occupational therapy home program (OTHP), compared with no OTHP, with respect to function and parent satisfaction with child function, participation, goal attainment, and quality of upper limb skill in school-aged children with cerebral palsy.


METHODS
Thirty-six children with cerebral palsy (mean age: 7.7 years; male: 69%; Gross Motor Function Classification System: level I, 47%; level II, 14%; level III, 16%; level IV, 7%; level V, 16%; spasticity, 85%; dyskinesia, 14%; ataxia, 3%) were randomly and equally assigned to OTHPs for 8 or 4 weeks or to no OTHP. The primary end point was Canadian Occupational Performance Measure scores 8 weeks after baseline. Secondary measures were recorded at 4 and 8 weeks.


RESULTS
Eight weeks of OTHP produced statistically significant differences in function and parent satisfaction with function, compared with no OTHP. Parents in the 4-week OTHP group did not discontinue use at 4 weeks, as instructed, and continued for 8 weeks; results demonstrated statistically significant differences, compared with no OTHP. There was no difference in primary or secondary end point measures between intervention groups.


CONCLUSION
Pediatricians can advise families that OTHPs developed with a collaborative, evidence-based approach and implemented by parents at home were clinically effective if implemented 17.5 times per month for an average of 16.5 minutes per session.
Misapplication of power capacitors in distribution systems with nonlinear loads-three case histories

Application of power-factor-correction capacitors in modern industrial plants must consider harmonic components of voltage and current in the application. Whether the capacitors are installed as power-factor correction for individual motors, as a bank of capacitors, or as a tuned filter capacitor bank, harmonic distortion can prove disastrous to the application. Three case histories are discussed.
Four-step genetic search for block motion estimation

Genetic Algorithms (GA) is well known for searching global maxima and minima[1, 2]. In general, number of search points required by GA for searching global extreme is much lower than the exhausted search. GA has been applied to Block Matching Algorithm (BMA) and demonstrates positively its capability in BMA. The mean square error (MSE) performance of GA based BMA is close to full search (FS). However, the disadvantage of GA is the computational requirement for practical use. A four-step genetic search algorithm is proposed to BMA. The proposed method takes advantage of GA and 4SS. The simulation result shows the proposed method has similar performance to full-search (FS) in terms of MSE. In addition, number of search points required by the proposed algorithm is approximately equal to 14% of FS and closed to three-step search (3SS). The speed up ratio between proposed algorithm and FS is 5.6 times.
A microbial fuel cell equipped with a biocathode for organic removal and denitrification.

Microbial fuel cells (MFCs) are a promising anaerobic technology but they are limited by the high cost of the catalyst used at the cathode (typically platinum). In this study, we designed a novel type of two-chambered MFC wherein an autoheterotrophic denitrifying biofilm replaced the costly catalyst on the cathode surface. Micro-organisms performed denitrification by using electrons supplied by bacteria oxidizing domestic wastewater and acetate as substrates in the anode chamber. This two-chambered MFC equipped with a biocathode generated during more than 1.5 month up to 9.4 mW m(-2) of anode surface or 0.19 W m(-3) of anode chamber volume, while removing over 65% of COD, 84% of total nitrogen and nearly 30% of suspended solids with domestic wastewater as a substrate, and nearly 95% of acetate in the subsequent experiments.
Symmetric Tensor Completion from Multilinear Entries and Learning Product Mixtures over the Hypercube

We give an algorithm for completing an order-m symmetric low-rank tensor from its multilinear entries in time roughly proportional to the number of tensor entries. We apply our tensor completion algorithm to the problem of learning mixtures of product distributions over the hypercube, obtaining new algorithmic results. If the centers of the product distribution are linearly independent, then we recover distributions with as many as Ω(n) centers in polynomial time and sample complexity. In the general case, we recover distributions with as many as Ω̃(n) centers in quasi-polynomial time, answering an open problem of Feldman et al. (SIAM J. Comp.) for the special case of distributions with incoherent bias vectors. Our main algorithmic tool is the iterated application of a low-rank matrix completion algorithm for matrices with adversarially missing entries. UC Berkeley, tschramm@cs.berkeley.edu. Supported by an NSF Graduate Research Fellowship (NSF award no 1106400). UC Berkeley, bsweitz@cs.berkeley.edu. Supported by an NSF Graduate Research Fellowship (NSF award no DGE 1106400).
PCA Based 3D Shape Reconstruction of Human Foot Using Multiple Viewpoint Cameras

This article describes a multiple camera based method to reconstruct a 3D shape of a human foot. From a feet database, an initial 3D model of the foot represented by a cloud of points is built. In addition, some shape parameters, which characterize any foot at more than 92%, are defined by using Principal Component Analysis. Then, the 3D model is adapted to the foot of interest captured in multiple images based on “active shape models” methods by applying some constraints (edge points’ distance, color variance for example). We insist here on the experiment part where we demonstrate the efficiency of the proposed method on a plastic foot model, and on real human feet with various shapes. We compare different ways to texture the foot, and conclude that using projectors can improve drastically the reconstruction’s accuracy. Based on experimental results, we finally propose some improvements regarding to the system integration.
Regional marine and air pollution problems in the Nordic Countries Status and suggestions for further work with the NMR's Sea and Air Group

Regional marine and air pollution problems in the Nordic Countries : Status and suggestions for further work with the NMR's Sea and Air Group
Haar wavelet collocation method for the numerical solution of boundary layer fluid flow problems

Based on Haar wavelets an efficient numerical method is proposed for the numerical solution of system of coupled Ordinary Differential Equations (ODEs) related to the natural convection boundary layer fluid flow problems with high Prandtl number (Pr). The numerical study of these flow models is necessary as the existing literature is more focused on the flow problems with small values of Pr. In this work, the problem of natural convection which consists of coupled nonlinear ODEs is solved simultaneously. The ODEs are obtained from the Navier Stokes equations through the similarity transformations. The effects of variation of Pr on heat transfer are investigated. Performance of the Haar Wavelets Collocation Method (HWCM) is compared with the finite difference method (FDM), RungeeKutta Method (RKM), homotopy analysis method (HAM) and exact solution for the last problem. More accurate solutions are obtained by wavelets decomposition in the form of a multi-resolution analysis of the function which represents solution of the given problems. Through this analysis the solution is found on the coarse grid points and then refined towards higher accuracy by increasing the level of the Haar wavelets. Neumann’s boundary conditions which are problematic for most of the numerical methods are automatically coped with. A distinctive feature of the proposed method is its simple applicability for a variety of boundary conditions. Efficiency analysis of HWCM versus RKM is performed using Timing command in Mathematica software. A brief convergence analysis of the proposed method is given. Numerical tests are performed to test the applicability, efficiency and accuracy of the method. 2010 Elsevier Masson SAS. All rights reserved.
Optimal scan delays for multiphasic renal multidetector row computed tomography performed with fixed injection duration of contrast medium.

OBJECTIVE
The purpose of our study was to prospectively determine optimal scan delays for multiphasic imaging of the kidney performed with multidetector row computed tomography (CT) and fixed injection duration of intravenous contrast medium.


MATERIALS AND METHODS
One hundred ninety-eight patients underwent 3-phase CT of the kidney with 8-slice CT after receiving 2 mL/kg of an intravenous contrast medium of 300 mg I/mL for a fixed duration of 30 seconds. The patients were prospectively randomized into 4 groups according to different scan delays from the start of injection: group 1 (25, 45, 65 seconds), group 2 (30, 50, 70 seconds), group 3 (35, 55, 75 seconds), and group 4 (40, 60, 80 sec). Mean CT values (Hounsfield units [HU]) of the abdominal aorta, renal arteries, veins, cortexes, and medulla were measured. Increases in CT values from precontrast to postcontrast CT (deltaHU) and renal artery-to-vein and renal cortex-to-medulla differential contrasts (deltaHU) were assessed. Qualitative analysis was also performed.


RESULTS
Abdominal aorta and renal artery enhancements peaked at 35 seconds (305 DeltaHU; 253 DeltaHU) after injection start, and renal veins peaked at 45 seconds (196 DeltaHU). Renal cortexes peaked at 40 seconds (197 DeltaHU), and renal medullae peaked at 75 seconds (152 DeltaHU). Renal artery-to-vein differential contrasts were high (95-137 deltaHU) at 25 to 30 seconds, and cortex-to-medulla contrasts were high (79-130 deltaHU) at 30 to 55 seconds and then decreased to less than 10 deltaHU at 75 seconds. Qualitative results were in good agreement with quantitative results.


CONCLUSIONS
With a fixed 30-second injection, estimated optimal scan delays for multiphasic imaging the kidney were, from the start of injection, 25 to 30 seconds for renal arterial CT angiography, 35 to 45 seconds for the corticomedullary, and 75 seconds for the nephrographic phase.
Validation of the Computer Literacy Scale (CLS)

Successful use of ICT requires domain knowledge and interaction knowledge. It shapes and is shaped by the use of ICT and is less common among older adults. This paper focus on the validation of the computer literacy scale (CLS) introduced by [14]. The CLS is an objective knowledge test of ICT-related symbols and terms commonly used in the graphical user interface of interactive computer technology. It has been designed specifically for older adults with little computer knowledge and is based on the idea that knowing common symbols and terms is as necessary for using computers, as it is for reading and writing letters and books. In this paper the Computer literacy scale is described and compared with related meas‐ ures for example computer expertise (CE), Computer Proficiency (CPQ) and computer anxiety (CATS). In addition criterion validity is described with predic‐ tions of successful ICT use exemplified with (1) the use of different data entry methods and (2) the use of different ticket vending machine (TVM) designs.
Inguinal Hernia Repair Using 3D Printed Surgical Instruments in the Cadaveric Model: A Feasibility Study

Background: 3D printing is an additive manufacturing process allowing the creation of solid objects directly from computer aided design (CAD). Design and fabrication of 3D printed surgical instruments has previously been performed with results indicating relevance to real surgical procedures. This study expands on previous work and investigates the feasibility of performing a cadaveric inguinal hernia repair using 3D printed surgical instruments. Methods: A CAD software package was used to design a general surgical set including hemostats, needle driver, scalpel handle, retractors and forceps. The digital models were manufactured on a 3D printer and used to perform a standard inguinal hernia repair on a human cadaver. Results: An acceptable inguinal hernia repair including mesh placement was successfully performed on a human cadaver using standard surgical techniques. Conclusions: General surgical procedures such as an inguinal hernia repair are feasible using 3D printed surgical instruments.
DropAll: Generalization of Two Convolutional Neural Network Regularization Methods

We introduce DropAll, a generalization of DropOut [1] and DropConnect [2], for regularization of fully-connected layers within convolutional neural networks. Applying these methods amounts to subsampling a neural network by dropping units. Training with DropOut, a randomly selected subset of activations are dropped, when training with DropConnect we drop a randomly subsets of weights. With DropAll we can perform both methods. We show the validity of our proposal by improving the classification error of networks trained with DropOut and DropConnect, on a common image classification dataset. To improve the classification, we also used a new method for combining networks, which was proposed in [3].
Sharp Two-weight, weak-type norm inequalities for singular integral operators

We give a sufficient condition for singular integral operators and, more generally, Calderón-Zygmund operators to satisfy the weak (p, p) inequality u({x ∈ R n : |Tf(x)| > t}) ≤ C tp ∫ R n |f |pv dx, 1 < p < ∞. Our condition is an Ap-type condition in the scale of Orlicz spaces: ‖u‖L(log L)p−1+δ,Q ( 1 |Q| ∫ Q v−p ′/p dx )p/p′ ≤ K < ∞, δ > 0. This conditions is stronger than the Ap condition and is sharp since it fails when δ = 0.
A Neural Chatbot with Personality

Conversational modeling is an important task in natural language processing as well as machine learning. Like most important tasks, it’s not easy. Previously, conversational models have been focused on specific domains, such as booking hotels or recommending restaurants. They were built using hand-crafted rules, like ChatScript [11], a popular rule-based conversational model. In 2014, the sequence to sequence model being used for translation opened the possibility of phrasing dialogues as a translation problem: translating from an utterance to its response. The systems built using this principle, while conversing fairly fluently, aren’t very convincing because of their lack of personality and inconsistent persona [10] [5]. In this paper, we experiment building open-domain response generator with personality and identity. We built chatbots that imitate characters in popular TV shows: Barney from How I Met Your Mother, Sheldon from The Big Bang Theory, Michael from The Office, and Joey from Friends. A successful model of this kind can have a lot of applications, such as allowing people to speak with their favorite celebrities, creating more life-like AI assistants, or creating virtual alter-egos of ourselves. The model was trained end-to-end without any hand-crafted rules. The bots talk reasonably fluently, have distinct personalities, and seem to have learned certain aspects of their identity. The results of standard automated translation model evaluations yielded very low scores. However, we designed an evaluation metric with a human judgment element, for which the chatbots performed well. We are able to show that for a bot’s response, a human is more than 50% likely to believe that the response actually came from the real character. Keywords—Seq2seq, attentional mechanism, chatbot, dialogue system.