LLukas22/scidocs huggingface dataset:
Preservation of the nerves to the frontalis muscle during pterional craniotomy.

OBJECT
There continues to be confusion over how best to preserve the branches of the facial nerve to the frontalis muscle when elevating a frontotemporal (pterional) scalp flap. The object of this study was to examine the full course of the branches of the facial nerve that must be preserved to maintain innervation of the frontalis muscle during elevation of a frontotemporal scalp flap.


METHODS
Dissection was performed to follow the temporal branches of facial nerves along their course in 5 adult, cadaveric heads (n = 10 extracranial facial nerves).


RESULTS
Preserving the nerves to the frontalis muscle requires an understanding of the course of the nerves in 3 areas. The first area is on the outer surface of the temporalis muscle lateral to the superior temporal line (STL) where the interfascial or subfascial approaches are applied, the second is in the area medial to the STL where subpericranial dissection is needed, and the third is along the STL. Preserving the nerves crossing the STL requires an understanding of the complex fascial relationships at this line. It is important to preserve the nerves crossing the lateral and medial parts of the exposure, and the continuity of the nerves as they pass across the STL. Prior descriptions have focused largely on the area superficial to the temporalis muscle lateral to the STL.


CONCLUSIONS
Using the interfascial-subpericranial flap and the subfascial-subpericranial flap avoids opening the layer of loose areolar tissue between the temporal fascia and galea in the area lateral to the STL and between the galea and frontal pericranium in the area medial to the STL. It also preserves the continuity of the nerve crossing the STL. This technique allows for the preservation of the nerves to the frontalis muscle along their entire trajectory, from the uppermost part of the parotid gland to the frontalis muscle.
Quantitative salivary gland scintigraphy.

OBJECTIVE
Uptake of 99mTc-pertechnetate in salivary glands reflects intact salivary gland parenchyma. However, no standardized protocol for an accurate quantification of parenchymal function has been established so far.


METHODS
In this paper we report on a validated acquisition protocol supplying a normal database for standardized quantitative salivary gland scintigraphy.


RESULTS
The major advantage of salivary gland scintigraphy, as compared to other imaging modalities, is that both parenchymal function and excretion fraction of all four major salivary glands (i.e., parotid and submandibular glands) can be simultaneously quantified with a single intravenous injection.


CONCLUSION
Quantitative salivary gland scintigraphy is demonstrated to be a suitable imaging modality for research applications in evaluating the effects of radioprotective drugs on salivary glands. Salivary gland scintigraphy is easy to perform, reproducible and well-tolerated by the patient.
Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks

The investigation of human activity patterns from location-based social networks like Twitter is an established approach of how to infer relationships and latent information that characterize urban structures. Researchers from various disciplines have performed geospatial analysis on social media data despite the data’s high dimensionality, complexity and heterogeneity. However, user-generated datasets are of multi-scale nature, which results in limited applicability of commonly known geospatial analysis methods. Therefore in this paper, we propose a geographic, hierarchical self-organizing map (Geo-H-SOM) to analyze geospatial, temporal and semantic characteristics of georeferenced tweets. The results of our method, which we validate in a case study, demonstrate the ability to explore, abstract and cluster high-dimensional geospatial and semantic information from crowdsourced data. ARTICLE HISTORY Received 8 April 2015 Accepted 19 September 2015
1MHz High Efficiency LLC Resonant Converters with Synchronous Rectifier

This paper proposes a novel synchronous rectifier driving scheme for resonant converters. An LLC resonant converter with proposed synchronous rectification is designed and analyzed. It is a high efficiency, high power density solution for future frond end converters. Hold up time extension capability is achieved for designed LLC resonant converter without sacrificing the efficiency for nominal condition. 1kW, 1MHz LLC resonant converter with proposed SR is built to demonstrate its advantages (size and efficiency) over the diode rectification and PWM converter. Overall 95.1% efficiency and 96W/in3 power density are achieved.
PDE-Net: Learning PDEs from Data

Partial differential equations (PDEs) play a prominent role in many disciplines of science and engineering. PDEs are commonly derived based on empirical observations. However, with the rapid development of sensors, computational power, and data storage in the past decade, huge quantities of data can be easily collected and efficiently stored. Such vast quantity of data offers new opportunities for data-driven discovery of physical laws. Inspired by the latest development of neural network designs in deep learning, we propose a new feed-forward deep network, called PDENet, to fulfill two objectives at the same time: to accurately predict dynamics of complex systems and to uncover the underlying hidden PDE models. Comparing with existing approaches, our approach has the most flexibility by learning both differential operators and the nonlinear response function of the underlying PDE model. A special feature of the proposed PDE-Net is that all filters are properly constrained, which enables us to easily identify the governing PDE models while still maintaining the expressive and predictive power of the network. These constrains are carefully designed by fully exploiting the relation between the orders of differential operators and the orders of sum rules of filters (an important concept originated from wavelet theory). Numerical experiments show that the PDE-Net has the potential to uncover the hidden PDE of the observed dynamics, and predict the dynamical behavior for a relatively long time, even in a noisy environment. Equal contribution School of Mathematical Sciences, Peking University, Beijing, China Beijing Computational Science Research Center, Beijing, China Beijing International Center for Mathematical Research, Peking University, Beijing, China Center for Data Science, Peking University Laboratory for Biomedical Image Analysis, Beijing Institute of Big Data Research. Correspondence to: Bin Dong <dongbin@math.pku.edu.cn>. Proceedings of the 35 th International Conference on Machine Learning, Stockholm, Sweden, PMLR 80, 2018. Copyright 2018 by the author(s).
Active Learning by Learning

Pool-based active learning is an important technique that helps reduce labeling efforts within a pool of unlabeled instances. Currently, most pool-based active learning strategies are constructed based on some human-designed philosophy; that is, they reflect what human beings assume to be “good labeling questions.” However, while such human-designed philosophies can be useful on specific data sets, it is often difficult to establish the theoretical connection of those philosophies to the true learning performance of interest. In addition, given that a single human-designed philosophy is unlikely to work on all scenarios, choosing and blending those strategies under different scenarios is an important but challenging practical task. This paper tackles this task by letting the machines adaptively “learn” from the performance of a set of given strategies on a particular data set. More specifically, we design a learning algorithm that connects active learning with the well-known multi-armed bandit problem. Further, we postulate that, given an appropriate choice for the multi-armed bandit learner, it is possible to estimate the performance of different strategies on the fly. Extensive empirical studies of the resulting ALBL algorithm confirm that it performs better than state-of-the-art strategies and a leading blending algorithm for active learning, all of which are based on human-designed philosophy.
Short-term effects of high-intensity laser therapy versus ultrasound therapy in the treatment of people with subacromial impingement syndrome: a randomized clinical trial.

BACKGROUND
Subacromial impingement syndrome (SAIS) is a painful condition resulting from the entrapment of anatomical structures between the anteroinferior corner of the acromion and the greater tuberosity of the humerus.


OBJECTIVE
The aim of this study was to evaluate the short-term effectiveness of high-intensity laser therapy (HILT) versus ultrasound (US) therapy in the treatment of SAIS.


DESIGN
The study was designed as a randomized clinical trial.


SETTING
The study was conducted in a university hospital.


PATIENTS
Seventy patients with SAIS were randomly assigned to a HILT group or a US therapy group.


INTERVENTION
Study participants received 10 treatment sessions of HILT or US therapy over a period of 2 consecutive weeks.


MEASUREMENTS
Outcome measures were the Constant-Murley Scale (CMS), a visual analog scale (VAS), and the Simple Shoulder Test (SST).


RESULTS
For the 70 study participants (42 women and 28 men; mean [SD] age=54.1 years [9.0]; mean [SD] VAS score at baseline=6.4 [1.7]), there were no between-group differences at baseline in VAS, CMS, and SST scores. At the end of the 2-week intervention, participants in the HILT group showed a significantly greater decrease in pain than participants in the US therapy group. Statistically significant differences in change in pain, articular movement, functionality, and muscle strength (force-generating capacity) (VAS, CMS, and SST scores) were observed after 10 treatment sessions from the baseline for participants in the HILT group compared with participants in the US therapy group. In particular, only the difference in change of VAS score between groups (1.65 points) surpassed the accepted minimal clinically important difference for this tool.


LIMITATIONS
This study was limited by sample size, lack of a control or placebo group, and follow-up period.


CONCLUSIONS
Participants diagnosed with SAIS showed greater reduction in pain and improvement in articular movement functionality and muscle strength of the affected shoulder after 10 treatment sessions of HILT than did participants receiving US therapy over a period of 2 consecutive weeks.
Treatment of Pseudomonas aeruginosa biofilm-infected wounds with clinical wound care strategies: a quantitative study using an in vivo rabbit ear model.

BACKGROUND
Bacterial biofilm is recognized as a major detriment to wound healing. The efficacy of traditional wound care against biofilm has never been studied. The authors evaluated the effect of clinical strategies against biofilm-infected wounds in a quantitative, in vivo model.


METHODS
Using a rabbit ear biofilm model, wounds were inoculated with Pseudomonas aeruginosa or left as uninfected controls. Inoculated wounds acted as untreated controls or underwent treatment: every-other-day sharp débridement (I), lavage (II), Silvadene (III), or lavage and Silvadene (IV), or initial débridement with daily lavage and Silvadene (V). Wounds were harvested on days 12 and 18. Histological wound healing parameters and viable bacterial counts were measured. Biofilm structure was studied with scanning electron microscopy.


RESULTS
Uninfected controls healed better than P. aeruginosa biofilm-infected wounds across all parameters (p = 0.01). Groups IV and V demonstrated improved healing (p = 0.05) and decreased bacterial count (p = 0.05) compared with untreated P. aeruginosa biofilm, whereas groups I through III showed no differences in either. Scanning electron microscopy following a group V treatment showed temporary disruption of biofilm structure, which reformed in 24 hours.


CONCLUSIONS
Pseudomonal biofilm markedly impairs wound healing, shown quantitatively using our in vivo model. Despite common practice, wound care strategies cannot restore biofilm wounds to a healing phenotype when used alone or infrequently. The durability of biofilm extends nonhealing wound chronicity, thus requiring aggressive, multimodal therapy aimed at reducing bacterial burden. The authors' novel, rigorous study validates critical principles applicable to all clinical wound care.
Using SVM based method for equipment fault detection in a thermal power plant

Due to the growing demand on electricity, how to improve the efficiency of equipment in a thermal power plant has become one of the critical issues. Reports indicate that efficiency and availability are heavily dependant upon high reliability and maintainability. Recently, the concept of e-maintenance has been introduced to reduce the cost of maintenance. In e-maintenance systems, the intelligent fault detection system plays a crucial role for identifying failures. Data mining techniques are at the core of such intelligent systems and can greatly influence their performance. Applying these techniques to fault detection makes it possible to shorten shutdown maintenance and thus increase the capacity utilization rates of equipment. Therefore, this work proposes a support vector machines (SVM) based model which integrates a dimension reduction scheme to analyze the failures of turbines in thermal power facilities. Finally, a real case from a thermal power plant is provided to evaluate the effectiveness of the proposed SVM based model. Experimental results show that SVM outperforms linear discriminant analysis (LDA) and back-propagation neural networks (BPN) in classification performance. 2010 Elsevier B.V. All rights reserved.
A Novel Two Switch Non-inverting Buck-Boost Converter based Maximum Power Point Tracking System

Received Apr 11, 2013 Revised May 28, 2013 Accepted Jul 4, 2013 A solar module can’t transfer maximum power to the load itself due to impedance mismatch. A maximum power point tracking (MPPT) system could be employed to have the maximum power. A new MPPT system has been developed using Buck-Boost type DC-DC converter. The system is highly efficient and robust. PIC16F73 microcontroller has been used to control the DC-DC converter output. PV module output power is measured using microcontroller. The output power is compared with the previous module output power and the duty cycle of the converter is adjusted continuously to track MPP. This process repeats until the output power reaches near to the maximum power point. In this paper, a maximum power point tracking (MPPT) system is developed using two-switch non-inverting buck-boost converter. Perturb and observe (P & O) MPPT algorithm is used to transfer maximum power from the PV panel which is executed using a microcontroller. Keyword:
The easier, the better: age, creatinine, ejection fraction score for operative mortality risk stratification in a series of 29,659 patients undergoing elective cardiac surgery.

OBJECTIVE
Age, preoperative creatinine value, and ejection fraction are easily arranged in the age, creatinine, ejection fraction score to predict operative mortality in elective cardiac operations, as recently shown. We validate the age, creatinine, ejection fraction score in a large multicentric study.


METHODS
We analyzed 29,659 consecutive patients who underwent elective cardiac operations in 14 Italian institutions during the period from 2004 to 2009. The operative (30-day) mortality rate was recorded for the entire population and for subgroups of patients based on the risk distribution. The predicted mortality was assessed using the additive and logistic European System for Cardiac Operative Risk Evaluations, and the age, creatinine, ejection fraction score. Accuracy and clinical performance of the different models were tested.


RESULTS
The observed mortality rate was 2.77% (95% confidence interval, 2.59-2.96). The predicted mortality rate was 2.84% (95% confidence interval, 2.79-2.88) for the age, creatinine, ejection fraction score (not significantly different from the observed rate), 6.26% for the additive European System for Cardiac Operative Risk Evaluation, and 9.67% for the logistic European System for Cardiac Operative Risk Evaluation (both significantly overestimated). For all deciles of risk distribution, the European System for Cardiac Operative Risk Evaluation significantly overestimated mortality risk; the age, creatinine, ejection fraction score slightly overestimated the mortality risk in very low-risk patients and significantly underestimated the mortality risk in very high-risk patients, correctly estimating the risk in 7 of 10 deciles. The accuracy of the age, creatinine, ejection fraction score was acceptable (area under the curve of 0.702). In a separate analysis, this value increased to 0.74 by excluding centers that reported no operative mortality. These values were similar or worse for the European System for Cardiac Operative Risk Evaluation.


CONCLUSIONS
The age, creatinine, ejection fraction score provides an accuracy level comparable to that of the European System for Cardiac Operative Risk Evaluation, with far superior clinical performance.
THE UNUSUAL LIFE HISTORY OF ALSEIS BLACKIANA: A SHADE-PERSISTENT PIONEER TREE?

Classifications of tree species into regeneration guilds or functional groups are often based on a limited number of life history characteristics indicative of requirements for early establishment, with the assumption that these traits are correlated with growth requirements of larger individuals. We tested the validity of this assumption for Alseis blackiana, a common canopy tree in central Panama, by examining its seed germination, seedling growth, and sapling distribution, growth, and mortality. We found that the early life history of Alseis is characteristic of pioneer species: the seed germination rate was much higher in forest gaps than in the forest understory, small seedlings were absent from the understory, and seedlings showed strong plastic responses to variation in light. Seedling relative growth rate, leaf area production rate, and maximum carbon assimilation rates of Alseis are much more similar to those of the pioneer tree Miconia argéntea than to those of the non-pioneer tree Tetragastris panamensis. However, in contrast to Miconia, established seedlings oí Alseis are capable of remarkable persistence in the understory; in a 1ha plot on Barro Colorado Island, the mortality rate for 722 saplings <1 cm dbh was <4% per year between 1986 and 1998. We suspect that shade tolerance in Alseis is achieved by both physiological and morphological adaptations, e.g., efficient light interception by thin, nonoverlapping leaves, tolerance to litterfall damage, and a high resprouting capacity. These results show that existing functional group classifications do not account for the full range of seedling trait combinations found in tropical trees and indicate that a gap requirement for seedling establishment need not limit the abundance of adult individuals in a stand.
visual thinkers and nobel prizes

Recognition in the Old Tradition "1 didn't expect" a Nobel Prize "at al l" he said, "in part because of the nature of the work.There was less science [and more engineering] in it than the things customarily honored by the prizes:' This was the observation of Jack S. Kilby (Texas Instruments), co-inventor of the integrated circuit, on being notified of his award in October 2000. The Nobel Prize for chemistry awarded at the same time to Alan J. Heeger (UC-Santa Barbara) and Hideki Shirakawa (University of Tsukuba) for their work on conductive polymers also reflected the recognition of broad effects rather than pure science. "We're very excited" said Daryle H. Busch of the American Chemical Society, "because this award is in the old tradition. That is, it was given for work that has a very substantial impact on society:' [2] The shift back to an earlier tradition by the Nobel prize committee may reflect a growing recognition in the larger world of the deep value of applied work of broad impact, as opposed to the highly theoretical work of relatively low impact which has traditionally commanded such high prestige over the past decades. These changes might be read as the small beginnings of a larger and more gradual swing back toward a greater respect for hand and eye and image building in the brain. For some time the major contributions of visual thinkers have been eclipsed in many fields by theoretical approaches that did not lend themselves to pictures or images or imagined models or hands-on manipulation. For a long time, we have been told with confidence that visual approaches were old fashioned and somehow primitive. Modern scientists and mathematicians, we have been told, did not need images. Pictures and diagrams were mainly for non-professionals and lay persons. But we now see that things may be going back in the opposite direction. With new visualization technologies and an emerging sense of the missed opportunities using the old narrow methods researchers in many fields are becoming aware that in order to do really creative work, they may need to go back to visual approaches once again. Perhaps we are traveling back in spirit to an earlier time, a time where much of the most advanced and creative work is done by visual thinkers using visual methods and technologies. Once again, pictures may not only be for children!
Collision resolutions in cloth simulation

We present a new collision resolution scheme for cloth collisions. Our main concern is to find dynamically convincing resolutions, i.e. positions and velocities of cloth elements, for any kinds of collisions occuring in cloth simulation (cloth-cloth, cloth-rigid, and cloth-cloth-rigid). We define our cloth surface as connected faces of mass particles where each particle is controlled by its internal energy functions. Our collision resolution method finds appropriate next positions and velocities of particles by conserving the particles’ momentums as accurately as possible. Cloth-cloth collision resolution is a special case of deformable N-body collision resolution. So to solve deformable N-body collision resolutions, we propose a new collision resolution method, which groups cloth particles into parts and resolves collisions between parts using the law of momentum conservation. To resolve collisions, we solve a system of linear equations derived from the collision relationships. A system of linear equations is built using a scheme adapted from the simultaneous resolution method for rigid N-body collisions [1]. For the special case where we can find cyclic relationships in collisions, we solve a system of linear inequalities derived from the collision relationships.
The economics of crowdfunding platforms

This paper provides a description of the crowdfunding sector, considering investment-based crowdfunding platforms as well as platforms in which funders do not obtain monetary payments. It lays out key features of this quickly developing sector and explores the economic forces at play that can explain the design of these platforms. In particular, it elaborates on cross-group and within-group external e¤ects and asymmetric information on crowdfunding platforms. Keywords: Crowdfunding, Platform markets, Network e¤ects, Asymmetric information, P2P lending JEL-Classication: L13, D62, G24 Université catholique de Louvain, CORE and Louvain School of Management, and CESifo yRITM, University of Paris Sud and Digital Society Institute zUniversity of Mannheim, Mannheim Centre for Competition and Innovation (MaCCI), and CERRE. Email: martin.peitz@gmail.com