nils-herrmann/clean_scirepeval huggingface dataset:
A visual analytics system for metropolitan transportation

With the increasing availability of metropolitan transportation data, such as those from vehicle GPSs (Global Positioning Systems) and road-side sensors, it becomes viable for authorities, operators, as well as individuals to analyze the data for a better understanding of the transportation system and possibly improved utilization and planning of the system. We report our experience in building the VAST (Visual Analytics for Smart Transportation) system. Our key observation is that metropolitan transportation data are inherently visual as they are spatio-temporal around road networks. Therefore, we visualize traffic data together with digital maps and support analytical queries through this interactive visual interface. As a case study, we demonstrate VAST on real-world taxi GPS and meter data sets from 15, 000 taxis running two months in a Chinese city of over 10 million population. We discuss the technical challenges in data cleaning, storage, visualization, and query processing, and offer our first-hand lessons learned from developing the system.
Carving research slices out of your production networks with OpenFlow

1. SLICED PROGRAMMABLE NETWORKS OpenFlow  has been demonstrated as a way for researchers to run networking experiments in their production network. Last year, we demonstrated how an OpenFlow controller running on NOX  could move VMs seamlessly around an OpenFlow network . While OpenFlow has potential [2] to open control of the network, only one researcher can innovate on the network at a time. What is required is a way to divide, or slice, network resources so that researchers and network administrators can use them in parallel. Network slicing implies that actions in one slice do not negatively affect other slices, even if they share the same underlying physical hardware. A common network slicing technique is VLANs. With VLANs, the administrator partitions the network by switch port and all traffic is mapped to a VLAN by input port or explicit tag. This coarse-grained type of network slicing complicates more interesting experiments such as IP mobility or wireless handover. Here, we demonstrate FlowVisor, a special purpose OpenFlow controller that allows multiple researchers to run experiments safely and independently on the same production OpenFlow network. To motivate FlowVisor’s flexibility, we demonstrate four network slices running in parallel: one slice for the production network and three slices running experimental code . Our demonstration runs on real network hardware deployed on our production network at Stanford and a wide-area test-bed with a mix of wired and wireless technologies.
Estimating required information size by quantifying diversity in random-effects model meta-analyses

There is increasing awareness that meta-analyses require a sufficiently large information size to detect or reject an anticipated intervention effect. The required information size in a meta-analysis may be calculated from an anticipated a priori intervention effect or from an intervention effect suggested by trials with low-risk of bias.



Information size calculations need to consider the total model variance in a meta-analysis to control type I and type II errors. Here, we derive an adjusting factor for the required information size under any random-effects model meta-analysis.



We devise a measure of diversity (D2) in a meta-analysis, which is the relative variance reduction when the meta-analysis model is changed from a random-effects into a fixed-effect model. D2 is the percentage that the between-trial variability constitutes of the sum of the between-trial variability and a sampling error estimate considering the required information size. D2 is different from the intuitively obvious adjusting factor based on the common quantification of heterogeneity, the inconsistency (I2), which may underestimate the required information size. Thus, D2 and I2 are compared and interpreted using several simulations and clinical examples. In addition we show mathematically that diversity is equal to or greater than inconsistency, that is D2 >or= I2, for all meta-analyses.



We conclude that D2 seems a better alternative than I2 to consider model variation in any random-effects meta-analysis despite the choice of the between trial variance estimator that constitutes the model. Furthermore, D2 can readily adjust the required information size in any random-effects model meta-analysis.
Management of chronic pain in elderly, frail patients: finding a suitable, personalized method of control

The elderly population is projected to make up 20% of the total United States population by the year 2030. In addition, epidemiological data suggests increasing prevalence of chronic pain and frailty with advancing age. Pain, being a subjective symptom, is challenging to manage effectively. This is more so in elderly populations with age-specific physiological changes that affect drug action and metabolism. Elderly patients are also more likely to have multiple chronic health pathologies, declining function, and frailty. The barriers present for patients, providers, and health systems also negatively impact efficient and effective pain control. These factors result in disproportionate utilization of health resources by the older population group. The scientific literature is lagging behind in age-specific studies for the elderly population. As a result, there is a lack of age-specific standardized management guidelines for various health problems, including chronic pain. Increasing efforts are now being directed to studies on pain control in the elderly. However, pain management remains inconsistent and suboptimal. This article is an attempt to suggest an informed, comprehensive guide to achieve effective pain control in the presence of these limitations.
FHI Oxford Technical Report # 2018-2 Predicting Human Deliberative Judgments with Machine Learning

Machine Learning (ML) has been successful in automating a range of cognitive tasks that humans solve effortlessly and quickly. Yet many realworld tasks are difficult and slow : people solve them by an extended process that involves analytical reasoning, gathering external information, and discussing with collaborators. Examples include medical advice, judging a criminal trial, and providing personalized recommendations for rich content such as books or academic papers. There is great demand for automating tasks that require deliberative judgment. Current ML approaches can be unreliable: this is partly because such tasks are intrinsically difficult (even AI-complete) and partly because assembling datasets of deliberative judgments is expensive (each label might take hours of human work). We consider addressing this data problem by collecting fast judgments and using them to help predict deliberative (slow) judgments. Instead of having a human spend hours on a task, we might instead collect their judgment after 30 seconds or 10 minutes. These fast judgments are combined with a smaller quantity of slow judgments to provide training data. The resulting prediction problem is related to semi-supervised learning and collaborative filtering. We designed two tasks for the purpose of testing ML algorithms on predicting human deliberative judgments. One task involves Fermi estimation (back-of-the-envelope estimation) and the other involves judging the veracity of political statements. We collected a dataset of 25,000 judgments from more than 800 people. We define an ML prediction task for predicting deliberative judgments given a training set that also contains fast judgments. We tested a variety of baseline algorithms on this task. Unfortunately our dataset has serious limitations. Additional work is required to create a good testbed for predicting human deliberative judgments. This technical report explains the motivation for our project (which might be built on in future work) and explains how further work can avoid our mistakes. Our dataset and code is available at https: //github.com/oughtinc/psj. ∗University of Oxford †Ought Inc.
Coherent Acoustic Array Processing and Localization on Wireless Sensor Networks

Advances in microelectronics, array processing, and wireless networking, have motivated the analysis and design of low-cost integrated sensing, computating, and communicating nodes capable of performing various demanding collaborative space-time processing tasks. In this paper, we consider the problem of coherent acoustic sensor array processing and localization on distributed wireless sensor networks. We first introduce some basic concepts of beamforming and localization for wideband acoustic sources. A review of various known localization algorithms based on time-delay followed by LS estimations as well as maximum likelihood method is given. Issues related to practical implementation of coherent array processing including the need for fine-grain time synchronization are discussed. Then we describe the implementation of a Linux-based wireless networked acoustic sensor array testbed, utilizing commercially available iPAQs with built in microphones, codecs, and microprocessors, plus wireless Ethernet cards, to perform acoustic source localization. Various field-measured results using two localization algorithms show the effectiveness of the proposed testbed. An extensive list of references related to this work is also included.  Beamforming, Source Localization, Distributed Sensor Network, Wireless Network, Ad Hoc Network, Microphone Array, Time Synchronization.
Beta-tricalcium phosphate shows superior absorption rate and osteoconductivity compared to hydroxyapatite in open-wedge high tibial osteotomy

The purpose of this study was to clinically and radiologically compare the utility, osteoconductivity, and absorbability of hydroxyapatite (HAp) and beta-tricalcium phosphate (TCP) spacers in medial open-wedge high tibial osteotomy (HTO). Thirty-eight patients underwent medial open-wedge HTO with a locking plate. In the first 19 knees, a HAp spacer was implanted in the opening space (HAp group). In the remaining 19 knees, a TCP spacer was implanted in the same manner (TCP group). All patients underwent clinical and radiological examinations before surgery and at 18 months after surgery. Concerning the background factors, there were no statistical differences between the two groups. Post-operatively, the knee score significantly improved in each group. Concerning the post-operative knee alignment and clinical outcome, there was no statistical difference in each parameter between the two groups. Regarding the osteoconductivity, the modified van Hemert’s score of the TCP group was significantly higher (p = 0.0009) than that of the HAp group in the most medial osteotomy zone. The absorption rate was significantly greater in the TCP group than in the HAp group (p = 0.00039). The present study demonstrated that a TCP spacer was significantly superior to a HAp spacer concerning osteoconductivity and absorbability at 18 months after medial open-wedge HTO. Retrospective comparative study,
Dynamic Difficulty Adjustment on MOBA Games

This paper addresses the dynamic difficulty adjustment on MOBA games as a way to improve the players entertainment. Although MOBA is currently one of the most played genres around the world, it is known as a game that offer less autonomy, more challenges and consequently more frustration. Due to these characteristics, the use of a mechanism that performs the difficulty balance dynamically seems to be an interesting alternative to minimize and/or avoid that players experience such frustrations. In this sense, this paper presents a dynamic difficulty adjustment mechanism for MOBA games. The main idea is to create a computer controlled opponent that adapts dynamically to the player performance, trying to offer to the player a better game experience. This is done by evaluating the performance of the player using a metric based on some game features and switching the difficulty of the opponent’s artificial intelligence behavior accordingly. Quantitative and qualitative experiments were performed and the results showed that the system is capable of adapting dynamically to the opponent’s skills. In spite of that, the qualitative experiments with users showed that the player’s expertise has a greater influence on the perception of the difficulty level and dynamic adaptation.
Teenagers and cosmetic surgery: focus on breast augmentation and liposuction.

Two of the most popular and controversial cosmetic procedures for adolescents are liposuction and breast implants. In this review article, the procedures are discussed. In addition, the physiological and psychological reasons to delay these procedures, including concerns about body dysmorphic disorder and research findings regarding changes in teenagers' body image as they mature, are described. The lack of persuasive empirical research on the mental health benefits of plastic surgery for teenagers is highlighted. Finally, the long-term financial and health implications of implanted medical devices with a limited lifespan are presented. Adolescent medicine providers need to be involved in improving informed decision making for these procedures, aware of the absence of data on the health and mental health risks and benefits of these surgeries for teenagers, and understand the limitations on teenagers' abilities to evaluate risks.
Gamma knife surgery for glomus jugulare tumors: an intermediate report on efficacy and safety.

Glomus jugulare tumors are rare tumors that commonly involve the middle ear, temporal bone, and lower cranial nerves. Resection, embolization, and radiation therapy have been the mainstays of treatment. Despite these therapies, tumor control can be difficult to achieve particularly without undo risk of patient morbidity or mortality. The authors examine the safety and efficacy of gamma knife surgery (GKS) for glomus jugulare tumors.



A retrospective review was undertaken of the results obtained in eight patients who underwent GKS for recurrent, residual, or unresectable glomus jugulare tumors. The median radiosurgical dose to the tumor margin was 15 Gy (range 12-18 Gy). The median clinical follow-up period was 28 months, and the median period for radiological follow up was 32 months. All eight patients demonstrated neurological stability or improvement. No cranial nerve palsies arose or deteriorated after GKS. In the seven patients in whom radiographic follow up was obtained, the tumor size decreased in four and remained stable in three.



Gamma knife surgery would seem to afford effective local tumor control and preserves neurological function in patients with glomus jugulare tumors. If long-term results with GKS are equally efficacious, the role of stereotactic radiosurgery will expand.
MR imaging of soft-tissue vascular malformations: diagnosis, classification, and therapy follow-up.

Vascular malformations and tumors comprise a wide, heterogeneous spectrum of lesions that often represent a diagnostic and therapeutic challenge. Frequent use of an inaccurate nomenclature has led to considerable confusion. Since the treatment strategy depends on the type of vascular anomaly, correct diagnosis and classification are crucial. Magnetic resonance (MR) imaging is the most valuable modality for classification of vascular anomalies because it accurately demonstrates their extension and their anatomic relationship to adjacent structures. A comprehensive assessment of vascular anomalies requires functional analysis of the involved vessels. Dynamic time-resolved contrast material-enhanced MR angiography provides information about the hemodynamics of vascular anomalies and allows differentiation of high-flow and low-flow vascular malformations. Furthermore, MR imaging is useful in assessment of treatment success and establishment of a long-term management strategy. Radiologists should be familiar with the clinical and MR imaging features that aid in diagnosis of vascular anomalies and their proper classification. Furthermore, they should be familiar with MR imaging protocols optimized for evaluation of vascular anomalies and with their posttreatment appearances. Supplemental material available at http://radiographics.rsna.org/lookup/suppl/doi:10.1148/rg.315105213/-/DC1.
Design, synthesis and biological evaluation of 4-(1-(4(sulphanilamide)phenyl)-3-(methyl)-1H-pyrazol-5-yl)dine urea and N-acyl derivatives as a soluble epoxide hydrolase inhibitors

A series of novel sEH inhibitors containing a N-substituted piperidine ring [N-urea (8a–i) (9a–l) and amide derivatives (6a–l) (7a–l)] with pyrazole (a five-membered polar heterocycle) as a pharmacophore lead for sEH inhibition have been designed, synthesized and evaluated as novel analogues to reduce blood pressure elevation and inflammatory roles by acting as sEH inhibitors. The synthesized compound shows varying degree of selectivity towards the sEH enzymes. Particularly compounds 9g and 8h emerged as the most potent sEH inhibitor displaying IC50 values of 0.224 ± 0.014 and 0.220 ± 0.03 μM for in vitro sEH inhibition. Molecular docking studies of the designed sEH dual inhibitors are performed using 1ZD5 for sEH as the targeted proteins and which revealed H-bond interactions similar to AUDA. Structure–activity relationships provided useful insights in these classes of compounds and paved the way to design novel analogues with increased potency. Schematic representation of proposed sEH Inhibitors.
Cultural influences on leadership and organizations: Project GLOBE.

Add list of 170 authors and their institutions here.  The authors are indebted to Markus Hauser, University of Zurich, for his thoughtful comments and suggestions relevant to this monograph. 2 ABSTRACT GLOBE is both a research program and a social entity. The GLOBE social entity is a network of 170 social scientists and management scholars from 61 cultures throughout the world, working in a coordinated long-term effort to examine the interrelationships between societal culture, organizational culture and practices, and organizational leadership. The meta-goal of the Global Leadership and Organizational Effectiveness (GLOBE) Research Program is to develop an empirically based theory to describe, understand, and predict the impact of cultural variables on leadership and organizational processes and the effectiveness of these processes. This monograph presents a description of the GLOBE research program and some initial empirical findings resulting from GLOBE research. A central question in this part of the research concerns the extent to which specific leadership attributes and behaviors are universally endorsed as contributing to effective leadership and the extent to which the endorsement of leader attributes and behaviors is culturally contingent. We identified six global leadership dimensions of culturally endorsed implicit theories of leadership (CLTs). Preliminary evidence indicates that these dimensions are significantly correlated with isomorphic dimensions of societal and organizational culture. These findings are consistent with the hypothesis that selected cultural differences strongly influence important ways in which people think about leaders and norms concerning the status, influence, and privileges granted to leaders. The hypothesis that charismatic/value-based leadership would be universally endorsed is strongly supported. Team-oriented leadership is strongly correlated with charismatic/value-based leadership, and also universally endorsed. Humane and participative leadership dimensions are nearly universally endorsed. The endorsement of the remaining global leadership dimensions-self-protective and autonomous leadership vary by culture. 3 We identified 21 specific leader attributes and behaviors that are universally viewed as contributing to leadership effectiveness. Eleven of the specific leader characteristics composing the global charismatic/value-based leadership dimension were among these 21 attributes. Eight specific leader characteristics were universally viewed as impediments to leader effectiveness. We also identified 35 specific leader characteristics that are viewed as contributors in some cultures and impediments in other cultures. We present these, as well as other findings, in more detail in this monograph. A particular strength of the GLOBE research design is the combination of quantitative and qualitative data. Elimination of common method and common source variance is also …
Security and Privacy Protection in Visual Sensor Networks: A Survey

Visual sensor networks (VSNs) are receiving a lot of attention in research, and at the same time, commercial applications are starting to emerge. VSN devices come with image sensors, adequate processing power, and memory. They use wireless communication interfaces to collaborate and jointly solve tasks such as tracking persons within the network. VSNs are expected to replace not only many traditional, closed-circuit surveillance systems but also to enable emerging applications in scenarios such as elderly care, home monitoring, or entertainment. In all of these applications, VSNs monitor a potentially large group of people and record sensitive image data that might contain identities of persons, their behavior, interaction patterns, or personal preferences. These intimate details can be easily abused, for example, to derive personal profiles.
 The highly sensitive nature of images makes security and privacy in VSNs even more important than in most other sensor and data networks. However, the direct use of security techniques developed for related domains might be misleading due to the different requirements and design challenges. This is especially true for aspects such as data confidentiality and privacy protection against insiders, generating awareness among monitored people, and giving trustworthy feedback about recorded personal data—all of these aspects go beyond what is typically required in other applications.
 In this survey, we present an overview of the characteristics of VSN applications, the involved security threats and attack scenarios, and the major security challenges. A central contribution of this survey is our classification of VSN security aspects into data-centric, node-centric, network-centric, and user-centric security. We identify and discuss the individual security requirements and present a profound overview of related work for each class. We then discuss privacy protection techniques and identify recent trends in VSN security and privacy. A discussion of open research issues concludes this survey.
FLP/FRT and Cre/lox recombination technology in C. elegans.

One of the most powerful aspects of biological inquiry using model organisms is the ability to control gene expression. A holy grail is both temporal and spatial control of the expression of specific gene products - that is, the ability to express or withhold the activity of genes or their products in specific cells at specific times. Ideally such a method would also regulate the precise levels of gene activity, and alterations would be reversible. The related goal of controlled or purposefully randomized expression of visible markers is also tremendously powerful. While not all of these feats have been accomplished in Caenorhabditis elegans to date, much progress has been made, and recent technologies put these goals within closer reach. Here, I present published examples of successful two-component site-specific recombination in C. elegans. These technologies are based on the principle of controlled intra-molecular excision or inversion of DNA sequences between defined sites, as driven by FLP or Cre recombinases. I discuss several prospects for future applications of this technology.