nils-herrmann/clean_scirepeval huggingface dataset:
The promise of organ and tissue preservation to transform medicine

The ability to replace organs and tissues on demand could save or improve millions of lives each year globally and create public health benefits on par with curing cancer. Unmet needs for organ and tissue preservation place enormous logistical limitations on transplantation, regenerative medicine, drug discovery, and a variety of rapidly advancing areas spanning biomedicine. A growing coalition of researchers, clinicians, advocacy organizations, academic institutions, and other stakeholders has assembled to address the unmet need for preservation advances, outlining remaining challenges and identifying areas of underinvestment and untapped opportunities. Meanwhile, recent discoveries provide proofs of principle for breakthroughs in a family of research areas surrounding biopreservation. These developments indicate that a new paradigm, integrating multiple existing preservation approaches and new technologies that have flourished in the past 10 years, could transform preservation research. Capitalizing on these opportunities will require engagement across many research areas and stakeholder groups. A coordinated effort is needed to expedite preservation advances that can transform several areas of medicine and medical science.
Medical bioremediation: a concept moving toward reality.

A major driver of aging is catabolic insufficiency, the inability of our bodies to break down certain substances that accumulate slowly throughout the life span. Even though substance buildup is harmless while we are young, by old age the accumulations can reach a toxic threshold and cause disease. This includes some of the most prevalent diseases in old age-atherosclerosis and macular degeneration. Atherosclerosis is associated with the buildup of cholesterol and its oxidized derivatives (particularly 7-ketocholesterol) in the artery wall. Age-related macular degeneration is associated with carotenoid lipofuscin, primarily the pyridinium bisretinoid A2E. Medical bioremediation is the concept of reversing the substance accumulations by using enzymes from foreign species to break down the substances into forms that relieve the disease-related effect. We report on an enzyme discovery project to survey the availability of microorganisms and enzymes with these abilities. We found that such microorganisms and enzymes exist. We identified numerous bacteria having the ability to transform cholesterol and 7-ketocholesterol. Most of these species initiate the breakdown by same reaction mechanism as cholesterol oxidase, and we have used this enzyme directly to reduce the toxicity of 7-ketocholesterol, the major toxic oxysterol, to cultured human cells. We also discovered that soil fungi, plants, and some bacteria possess peroxidase and carotenoid cleavage oxygenase enzymes that effectively destroy with varied degrees of efficiency and selectivity the carotenoid lipofuscin found in macular degeneration.
Prevalence and attitudes on female genital mutilation/cutting in Egypt since criminalisation in 2008.

Female genital mutilation/cutting (FGM/C), which can result in severe pain, haemorrhage and poor birth outcomes, remains a major public health issue. The extent to which prevalence of and attitudes toward the practice have changed in Egypt since its criminalisation in 2008 is unknown. We analysed data from the 2005, 2008 and 2014 Egypt Demographic and Health Surveys to assess trends related to FGM/C. Specifically, we determined whether FGM/C prevalence among ever-married, 15-19-year-old women had changed from 2005 to 2014. We also assessed whether support for FGM/C continuation among ever-married reproductive-age (15-49 years) women had changed over this time period. The prevalence of FGM/C among adolescent women statistically significantly decreased from 94% in 2008 to 88% in 2014 (standard error [SE] = 1.5), after adjusting for education, residence and religion. Prevalence of support for the continuation of FGM/C also statistically significantly decreased from 62% in 2008 to 58% in 2014 (SE = 0.6). The prevalence of FGM/C among ever-married women aged 15-19 years in Egypt has decreased since its criminalisation in 2008, but continues to affect the majority of this subgroup. Likewise, support of FGM/C continuation has also decreased, but continues to be held by a majority of ever-married women of reproductive age.
An overlapping module identification method in protein-protein interaction networks

Previous studies have shown modular structures in PPI (protein-protein interaction) networks. More recently, many genome and metagenome investigations have focused on identifying modules in PPI networks. However, most of the existing methods are insufficient when applied to networks with overlapping modular structures. In our study, we describe a novel overlapping module identification method (OMIM) to address this problem. Our method is an agglomerative clustering method merging modules according to their contributions to modularity. Nodes that have positive effects on more than two modules are defined as overlapping parts. As well, we designed de-noising steps based on a clustering coefficient and hub finding steps based on nodal weight. The low computational complexity and few control parameters prove that our method is suitable for large scale PPI network analysis. First, we verified OMIM on a small artificial word association network which was able to provide us with a comprehensive evaluation. Then experiments on real PPI networks from the MIPS Saccharomyces Cerevisiae dataset were carried out. The results show that OMIM outperforms several other popular methods in identifying high quality modular structures.
Capacitive Bulk Acoustic Wave Silicon Disk Gyroscopes

This paper introduces the capacitive bulk acoustic wave (BAW) silicon disk gyroscope. The capacitive BAW disk gyroscopes operate in the frequency range of 2-8MHz, are stationary devices with vibration amplitudes less than 20nm, and achieve very high quality factors (Q) in low vacuum (and even in atmosphere), which simplifies their wafer-scale packaging. The device has lower operating voltages compared to low-frequency gyroscopes, which simplifies the interface circuit design and implementation in standard CMOS
Finite-Time H∞ Filtering for Singular Stochastic Systems

This paper addresses the problem of finite-time H∞ filtering for one family of singular stochastic systems with parametric uncertainties and time-varying norm-bounded disturbance. Initially, the definitions of singular stochastic finite-time boundedness and singular stochastic H∞ finitetime boundedness are presented. Then, the H∞ filtering is designed for the class of singular stochastic systems with or without uncertain parameters to ensure singular stochastic finitetime boundedness of the filtering error system and satisfy a prescribed H∞ performance level in some given finite-time interval. Furthermore, sufficient criteria are presented for the solvability of the filtering problems by employing the linear matrix inequality technique. Finally, numerical examples are given to illustrate the validity of the proposed methodology.
Incumbent Advantage , Voter Information and Vote Buying ∗

Results from a new experiment in the Philippines shed light on the effects of voter information on vote buying and incumbent advantage. The treatment provided voters with information about the existence of a major spending program and the proposed allocations and promises of mayoral candidates just prior municipal elections. It left voters more knowledgeable about candidates’ proposed policies and increased the salience of spending. Treated voters were more likely to be targeted for vote buying. We develop a model of vote buying that accounts for these results. The information we provided attenuated incumbent advantage, prompting incumbents to increase their vote buying in response. Consistent with this explanation, both knowledge and vote buying impacts were higher in incumbent-dominated municipalities. Our findings show that, in a political environment where vote buying is the currency of electoral mobilization, incumbent efforts to increase voter welfare may take the form of greater vote buying. ∗This project would not have been possible without the support and cooperation of PPCRV volunteers in Ilocos Norte and Ilocos Sur. We are grateful to Michael Davidson for excellent research assistance and to Prudenciano Gordoncillo and the UPLB team for collecting the data. We thank Marcel Fafchamps, Clement Imbert, Pablo Querubin, Simon Quinn and two anonymous reviewers for constructive comments on the pre-analysis plan. Pablo Querubin graciously shared his precinct-level data from the 2010 elections with us. We thank conference and seminar participants at Gothenburg, Copenhagen, and Oxford for comments. The project received funding from the World Bank and ethics approval from the University of Oxford Economics Department (Econ DREC Ref. . All remaining errors are ours. The opinions and conclusions expressed here are those of the authors and not those of the World Bank or the Inter-American Development Bank. †University of British Columbia; email: cesi.cruz@ubc.ca ‡Inter-American Development Bank; email: pkeefer@iadb.org §Oxford University; email: julien.labonne@bsg.ox.ac.uk
Educating patients: understanding barriers, learning styles, and teaching techniques.

Health care delivery and education has become a challenge for providers. Nurses and other professionals are challenged daily to assure that the patient has the necessary information to make informed decisions. Patients and their families are given a multitude of information about their health and commonly must make important decisions from these facts. Obstacles that prevent easy delivery of health care information include literacy, culture, language, and physiological barriers. It is up to the nurse to assess and evaluate the patient's learning needs and readiness to learn because everyone learns differently. This article will examine how each of these barriers impact care delivery along with teaching and learning strategies will be examined.
Autonomous Collaborative Mobile Manipulators : State of the Art

In order to extend the workspace of manipulators, the use of mobile platforms represents a good solution. This is the idea behind the concept of Mobile Manipulator (MM). In spite of their progresses, MMs have limitations, that can concern control or mechatronic design, the former being often covered in literature. Up to now, MMs are limited to specific applications and not widely spread in industry. One of the possible breakouts of these machines into industrial applications can be the collaborative way of performing some tasks. In this paper, a literature overview of different researches on collaborative MMs is presented to help understand the advantages of these machines, their background, the ongoing developments and their limits. A classification of these systems is presented along with definitions of each of their mechatronics components. The paper includes a focus on experimental architectures of MMs and a review of the limits of the current state of the art and finishes with possible enhancements and research topics that could be considered for future projects. This work will help in the project of designing and controlling new collaborative MMs for industrial and service applications.
Cell selection using distributed Q-learning in heterogeneous networks

Cell selection with cell range expansion (CRE) that is a technique to expand a pico cell range virtually by adding a bias value to the pico received power, instead of increasing transmit power of the pico base station (PBS), can make coverage, cell-edge throughput, and overall network throughput improved. Many studies about CRE have used a common bias value among all user equipments (UEs), while the optimal bias values that minimize the number of UE outages vary from one UE to another. The optimal bias value that minimizes the number of UE outages depends on several factors such as the dividing ratio of radio resources between macro base stations (MBSs) and PBSs, it is given only by the trial and error method. In this paper, we propose a scheme to select a cell by using Q-learning algorithm where each UE learns which cell to select to minimize the number of UE outages from its past experience independently. Simulation results show that, compared to the practical common bias value setting, the proposed scheme reduces the number of UE outages and improves network throughput in the most cases. Moreover, instead of the degradation of the performances, it also solves the storage problem of our previous work.
A planar Yagi-Uda antenna with a meandered driven dipole and a concave parabolic reflector

A planar Yagi-Uda antenna with a single director, a meandered driven dipole, and a concave parabolic reflector on a thin dielectric substrate is proposed. Through this design, the high directivity of 7.3 dBi, front-to-back ratio of 14.7 dB, cross-polarization level of −39.1 dB, bandwidth of 5.8%, and the radiation efficiency of 87.5%, which is better than −1 dBi in terms of the 3D average gain, can be achieved. Besides, the area of this antenna is much smaller than that of the previously proposed one by about 78%. Therefore, the proposed antenna is suitable for the GPS (Global Positioning System) application in mobile devices whose volumes are usually not sufficient for embedded antennas with a good RHCP (right hand circular polarization) AR (axial ratio) values and not enough angular coverage of the designed AR values.
S3 - Guidelines on the treatment of psoriasis vulgaris (English version). Update.

Psoriasis vulgaris is a common and often chronic inflammatory skin disease. The incidence of psoriasis in Western industrialized countries ranges from 1.5% to 2%. Patients afflicted with severe psoriasis vulgaris may experience a significant reduction in quality of life. Despite the large variety of treatment options available, surveys have shown that patients still do not received optimal treatments. To optimize the treatment of psoriasis in Germany, the Deutsche Dermatologi sche Gesellschaft (DDG) and the Berufsverband Deutscher Dermatologen (BVDD) have initiated a project to develop evidence-based guidelines for the management of psoriasis. They were first published in 2006 and updated in 2011. The Guidelines focus on induction therapy in cases of mild, moderate and severe plaque-type psoriasis in adults including systemic therapy, UV therapy and topical therapies. The therapeutic recommendations were developed based on the results of a systematic literature search and were finalized during a consensus meeting using structured consensus methods (nominal group process).
When the filter bubble bursts: collective evaluation dynamics in online communities

Through the analysis of collective upvotes and downvotes in multiple social media, we discover the bimodal regime of collective evaluations. When online content surpasses the local social context by reaching a threshold of collective attention, negativity grows faster with positivity, which serves as a trace of the burst of a filter bubble. To attain a global audience, we show that emotions expressed in online content has a significant effect and also play a key role in creating polarized opinions.
The R*-Tree: An Efficient and Robust Access Method for Points and Rectangles

The R-tree, one of the most popular access methods for rectangles, is based on the heuristic optimization of the area of the enclosing rectangle in each inner node. By running numerous experiments in a standardized testbed under highly varying data, queries and operations, we were able to design the R*-tree which incorporates a combined optimization of area, margin and overlap of each enclosing rectangle in the directory. Using our standardized testbed in an exhaustive performance comparison, it turned out that the R*-tree clearly outperforms the existing R-tree variants. Guttman's linear and quadratic R-tree and Greene's variant of the R-tree. This superiority of the R*-tree holds for different types of queries and operations, such as map overlay, for both rectangles and multidimensional points in all experiments. From a practical point of view the R*-tree is very attractive because of the following two reasons 1 it efficiently supports point and spatial data at the same time and 2 its implementation cost is only slightly higher than that of other R-trees.
What Do We Understand About Convolutional Networks?

This document will review the most prominent proposals using multilayer convolutional architectures. Importantly, the various components of a typical convolutional network will be discussed through a review of different approaches that base their design decisions on biological findings and/or sound theoretical bases. In addition, the different attempts at understanding ConvNets via visualizations and empirical studies will be reviewed. The ultimate goal is to shed light on the role of each layer of processing involved in a ConvNet architecture, distill what we currently understand about ConvNets and highlight critical open problems.
Psychosocial stress impairs working memory at high loads: an association with cortisol levels and memory retrieval.

Stress and cortisol are known to impair memory retrieval of well-consolidated declarative material. The effects of cortisol on memory retrieval may in particular be due to glucocorticoid (GC) receptors in the hippocampus and prefrontal cortex (PFC). Therefore, effects of stress and cortisol should be observable on both hippocampal-dependent declarative memory retrieval and PFC-dependent working memory (WM). In the present study, it was tested whether psychosocial stress would impair both WM and memory retrieval in 20 young healthy men. In addition, the association between cortisol levels and cognitive performance was assessed. It was found that stress impaired WM at high loads, but not at low loads in a Sternberg paradigm. High cortisol levels at the time of testing were associated with slow WM performance at high loads, and with impaired recall of moderately emotional, but not of highly emotional paragraphs. Furthermore, performance at high WM loads was associated with memory retrieval. These data extend previous results of pharmacological studies in finding WM impairments after acute stress at high workloads and cortisol-related retrieval impairments.
Half A Century of Desalination With Electrodialysis

On February 21, 1952 the New York Times ran an interesting cover story. It described how a young company called Ionics (which was purchased by GE Water & Process Technologies in 2005) invented a new technology that could change the world. The invention was Electrodialysis, or ED, and with its use of salt transfer membranes ED, offered for the first time, a truly practical and less expensive way to desalt brackish water. Distillation had been the only way. That was a cumbersome process, best suited to treat sea water and it required large amounts of energy to operate. The US Congress saw the promise of ED, and passed The Saline Water Bill in 1953 to fund additional research into desalination. In December 1953, ED became commercially viable when Ionics supplied an oil field campsite in Saudi Arabia with their first ED system. Many more ED units followed that one. ED used electricity to generate a DC field across a stack of flat sheet ion exchange membranes arranged in a cation – anion configuration. The DC field pulled unwanted salts across the membranes, creating both a product and a recirculating brine water flow.
Buffer minimization using max-coloring

Given a graph <i>G</i> = (<i>V,E</i>) and positive integral vertex weights <i>w</i> : <i>V</i> → N, the <i>max-coloring problem</i> seeks to find a proper vertex coloring of <i>G</i> whose color classes <i>C</i><inf>1,</inf> <i>C</i><inf>2,</inf>...,<i>C</i><inf><i>k</i></inf>, minimize Σ<sup><i>k</i></sup><inf><i>i</i> = 1</inf> <i>max</i><inf>ν∈<i>C</i><inf>i</inf></inf><i>w</i>(ν). This problem, restricted to interval graphs, arises whenever there is a need to design dedicated memory managers that provide better performance than the general purpose memory management of the operating system. Specifically, companies have tried to solve this problem in the design of memory managers for wireless protocol stacks such as GPRS or 3G.Though this problem seems similar to the wellknown dynamic storage allocation problem, we point out fundamental differences. We make a connection between max-coloring and on-line graph coloring and use this to devise a simple 2-approximation algorithm for max-coloring on interval graphs. We also show that a simple first-fit strategy, that is a natural choice for this problem, yields a 10-approximation algorithm. We show this result by proving that the first-fit algorithm for on-line coloring an interval graph <i>G</i> uses no more than 10.<i>x</i>(<i>G</i>) colors, significantly improving the bound of 26.<i>x</i>(<i>G</i>) by Kierstead and Qin (<i>Discrete Math.</i>, 144, 1995). We also show that the max-coloring problem is NP-hard.
A Review and Classification of Emerging Excipients in Parenteral Medications

fines excipients as “substances, other than the active drug substance of finished dosage form, which have been appropriately evaluated for safety and are included in a drug delivery system to either aid the processing of the drug delivery system during its manufacture; protect; support; enhance stability, bioavailability, or patient acceptability; assist in product identification; or enhance any other attributes of the overall safety and effectiveness of the drug delivery system during storage or use” (1). This definition implies that excipients serve a purpose in a formulation and contrasts with the old terminology, inactive excipients, which hints at the property of inertness. With a literal interpretation of this definition, an excipient can include diverse molecules or moieties such as replication incompetent viruses (adenoviral or retroviral vectors), bacterial protein components, monoclonal antibodies, bacteriophages, fusion proteins, and molecular chimera. For example, using gene-directed enzyme prodrug therapy, research indicated that chimera containing a transcriptional regulatory DNA sequence capable of being selectively activated in mammalian cells was linked to a sequence that encodes a -lactamase enzyme and delivered to target cells (2). The expressed enzyme in the targeted cells catalyzes the conversion of a subsequently administered prodrug to a toxic agent. A similar purpose is achieved by using an antibody conjugated to an enzyme followed by the administration of a noncytotoxic substance that is converted in vivo by the enzyme to its toxic form (3). In these examples, the chimera or the enzyme-linked antibody would qualify as excipients. Furthermore, many emerging delivery systems use a drug or gene covalently linked to the molecules, polymers, antibody, or chimera responsible for drug targeting, internalization, or transfection. Conventional wisdom dictates that such an entity be classified as the active substance or prodrug for regulatory purposes and be subject to one set of specifications for the entire molecule. The fact remains, however, that only a discrete part of this prodrug is responsible for the therapeutic effect, and a similar effect may be obtained by physically entrapping the drug as opposed to covalent conjugation. The situation is further complicated when fusion proteins are used as a combination of drug and delivery system or when the excipients themselves