nils-herrmann/clean_scirepeval huggingface dataset:
Underwater Wireless Sensor Networks: A Survey on Enabling Technologies, Localization Protocols, and Internet of Underwater Things
Venue: IEEE Access
Year: 2019

Underwater communication remains a challenging technology via communication cables and the cost of underwater sensor network (UWSN) deployment is still very high. As an alternative, underwater wireless communication has been proposed and have received more attention in the last decade. Preliminary research indicated that the Radio Frequency (RF) and Magneto Inductive (MI) communication achieve higher data rate in the near field communication. The optical communication achieves good performance when limited to the line of sight positioning. The acoustic communication allows long transmission range. However, it suffers from transmission losses and time varying signal distortion due to its dependency on environmental properties. These latter are salinity, temperature, pressure, depth of transceivers, and the environment geometry. This paper is focused on both the acoustic and magneto inductive communications, which are the most used technologies for underwater networking. Such as acoustic communication is employed for applications requiring long communication range while the MI is used for real time communication. Moreover, this paper highlights the trade off between underwater properties, wireless communication technologies, and communication quality. This can help the researcher community by providing clear insight for further research.
Themis regulates metabolic signaling and effector functions in CD4+ T cells by controlling NFAT nuclear translocation
Venue: Cellular molecular immunology
Year: 2020

Themis is a T cell lineage specific molecule that is involved in TCR signal transduction. The effects of germline Themis deletion on peripheral CD4+ T cell function have not been described before. In this study, we found that Themis deficient CD4+ T cells had poor proliferative responses, reduced cytokine production in vitro and weaker inflammatory potential, as measured by their ability to cause colitis in vivo. Resting T cells are quiescent, whereas activated T cells have high metabolic demands. Fulfillment of these metabolic demands depends upon nutrient availability and upregulation of nutrient intake channels after efficient TCR signal transduction, which leads to metabolic reprogramming in T cells. We tested whether defects in effector functions were caused by impaired metabolic shifts in Themis deficient CD4+ T cells due to inefficient TCR signal transduction, in turn caused by the lack of Themis. We found that upon TCR stimulation, Themis deficient CD4+ T cells were unable to upregulate the expression of insulin receptor (IR) glucose transporter (GLUT1) the neutral amino acid transporter CD98 and the mTOR pathway, as measured by c Myc and pS6 expression. Mitochondrial analysis of activated Themis deficient CD4+ T cells showed more oxidative phosphorylation (OXPHOS) than aerobic glycolysis, indicating defective metabolic reprogramming. Furthermore, we found reduced NFAT translocation in Themis deficient CD4+ T cells upon TCR stimulation. Using previously reported ChIP seq and RNA seq data, we found that NFAT nuclear translocation controls IR gene expression. Together, our results describe an internal circuit between TCR signal transduction, NFAT nuclear translocation, and metabolic signaling in CD4+ T cells.
On Covid 19, U.S. Uprisings, and Black Lives: A Mandate to Regenerate All Our Relations
Year: 2020

A stealthy virus, COVID 19 has evidenced how racial, geopolitical, territorial, social, temporal, and many other boundaries have been agitated to a catastrophic degree by the "interlocking powers of nationalism, racism, xenophobia, and capitalism " A biopower that has targeted neglected populations from refugees to people living along and at the borders to residents of nations with strong military and prison industrial complexes, and beyond COVID 19 continues to require an interruption of coloniality, policing, and violence In order to trace the force of such lasting power, Neetu Khanna urges us to turn to the visceral as a logic of decolonization To her, the visceral can become a site for recognizing and undoing trauma, for it allows the centering of "the somatic life of the body as a fundamental site of colonial subjugation and corporeal control " In other words, engaging with the visceral requires both consciousness and liberation to begin with the body: its reflexes, limits, instincts, responses, and needs
The Software's Safety Testing Technique Study on Buffer Overflow
Year: 2012

As a kind of leak hidden in software, buffer overflow threatens software's safety. Hackers can attack the software in order to control the system or steal secrets using this hole. According to statistics, this kind of leak using buffer overflow leak has already occupied more than half of the attack on internet. At first this article analyzes buffer overflow's principle, then gives its fault model, at last puts forward code automatic detection algorithm based on static analysis. This paper lays a foundation for fault detection and prevention.
Combined Effects of Background Music and Nonverbal Synchrony Measures on Group Creativity A Multiple Regression Approach
Venue: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
Year: 2019

Investigating music literature there are indeed many focusing on the ways to observe its impact on individual creativity. However, to our knowledge the view that groups creativity can be influenced through music listening has not been studied. In this paper we support our previous research on impacts of BGM on group creativity; with the purpose of explaining group creativity outcome using interpersonal indices of behavior. To do so, we address the role of head nodding and inter brain synchronization (IBS) while music listening in improving group creativity and try to illustrate optimal prediction model of both originality and fluency indices. As the task procedure participants were asked to solve five alternative uses tasks (AUT) while either listening to four combinations of music valence/genre or listening to no music as control condition. Multiple regression with stepwise variable selection revealed that music listening (especially with upbeat and positive valence) and higher IBS in the medial PFC predicts higher fluency, i.e. more ideas. For the index of originality only the upbeat positive music and HMS showed significant contribution. This study suggests the promising prospect of group creativity facilitation system that evaluates communication state by using physical and brain measurement, and control the communication by using music as feedback.
A Study on Automatic Music Genre Classification Based on the Summarization of Music Data
Venue: 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
Year: 2020

Music summarization is often employed in music genre classification to reduce the computational cost. To examine how the accuracy of the music genre classification tasks is controlled with music summarization, this study compares our proposed technique that extracts summaries from multiple sections of the music data with a conventional technique that extracts a summary from a single section. The experimental result indicates that appropriate summarization of music data may potentially give better performances.
Qualimap 2: advanced multi sample quality control for high throughput sequencing data
Venue: Bioinform.
Year: 2016

Detection of random errors and systematic biases is a crucial step of a robust pipeline for processing high throughput sequencing (HTS) data. Bioinformatics software tools capable of performing this task are available, either for general analysis of HTS data or targeted to a specific sequencing technology. However, most of the existing QC instruments only allow processing of one sample at a time.  Qualimap 2 represents a next step in the QC analysis of HTS data. Along with comprehensive single sample analysis of alignment data, it includes new modes that allow simultaneous processing and comparison of multiple samples. As with the first version, the new features are available via both graphical and command line interface. Additionally, it includes a large number of improvements proposed by the user community. Availability and implementation: The implementation of the software along with documentation is freely available at http:/www.qualimap.org.  meyer@mpiib berlin.mpg.de Supplementary information: Supplementary data are available at Bioinformatics online.
Personal identification using feature and score level fusion of palm and fingerprints
Venue: Signal Image Video Process.
Year: 2011

The ever increasing demand of security has resulted in wide use of Biometric systems. Despite overcoming the traditional verification problems, the unimodal systems suffer from various challenges like intra class variation, noise in the sensor data etc, affecting the system performance. These problems are effectively handled by multimodal systems. In this paper, we present multimodal approach for palm and fingerprints by feature level and score level fusions (sum and product rules) The proposed multi modal systems are tested on a developed database consisting of 440 palm and fingerprints each of 55 individuals. In feature level fusion, directional energy based feature vectors of palm and fingerprint identifiers are combined to form joint feature vector that is subsequently used to identify the individual using a distance classifier. In score level fusion, the matching scores of individual classifiers are fused by sum and product rules. Receiver operating characteristics curves are formed for unimodal and multimodal systems. Equal Error Rate (EER) of 0.538% for feature level fusion shows best performance compared to score level fusion of 0.6141 and 0.5482% of sum and product rules, respectively. Multimodal systems, however, significantly outperform unimodal palm and fingerprints identifiers with EER of 2.822 and 2.553% respectively.
Adaptation, Evolution and Symbiosis in Water Law
Year: 2007

This article traces the evolution of the laws governing the use of water for consumption, waste disposal, public purposes and environmental protection. It provides a unique integration of water resources law and environmental law, two fields that are otherwise highly fragmented in the United States. Both the historic tensions and the emerging collaborations among federal, state, tribal and private interests in managing water resources are assessed in an effort to illuminate future pathways for conservation and the restoration of degraded waterways. The article begins with colonial America and proceeds through five significant eras in U.S. history: the Gilded Age of industry; the Progressive Era of wise use; the rise of the administrative state and first generation environmental regulations during the New Deal; the conservation movement of the postWar years; and, finally, the late twentieth century era of beneficial use tempered by second generation command and control regulation. In the early days, discharges of sewage and industrial toxins, depletion of stream flows and the contamination of drinking water supplies were addressed only haphazardly, and almost exclusively at the local level. The federal government influenced water policy through navigational enhancements and reclamation works, but took a deferential stance toward state and local law on water rights, land use and public welfare. Beginning in the New Deal years of the 1930s, Congress and the federal agencies assumed active involvement in multiple use development of hydropower, floodplains and recreation. Rigorous requirements to protect the integrity of waterbodies and the fish and wildlife species that depended on them were not embraced, however, until the 1970s. The command and control regulatory programs initiated in the 1970s are as powerful today as they were then, but the low hanging fruit has been harvested and additional "next generation" tools are needed to restore and protect the nation's waterways. Meanwhile, organic, ever evolving common law norms will likely play a revitalized role in the sustainable management of water resources, but only if complemented by a strong, ecologically based federal regulatory baseline.
Membrane Nanoparticles Derived from ACE2 Rich Cells Block SARS CoV 2 Infection
Venue: ACS nano
Year: 2021

The ongoing COVID 19 pandemic worldwide necessitates the development of therapeutics against SARS CoV 2. ACE2 is the main receptor of SARS CoV 2 S1 and mediates viral entry into host cells. Herein, membrane nanoparticles (NPs) prepared from ACE2 rich cells were discovered to have potent capacity to block SARS CoV 2 infection. The membranes of human embryonic kidney 239T cells highly expressing ACE2 were applied to prepare NPs using an extrusion method. The nanomaterials, termed ACE2 NPs, contained 265.1 ng mg 1 ACE2 on the surface and acted as baits to trap S1 in a dose dependent manner, resulting in reduced recruitment of the viral ligand to HK 2 human renal tubular epithelial cells. Aside from affecting receptor recongnition, S1 translocated to the cytoplasm and induced apoptosis by reducing optic atrophy 1 expression and increasing cytochrome c release, which was also inhibited by ACE2 NPs. Further investigations revealed that ACE2 NPs efficiently suppressed SARS CoV 2 S pseudovirions entry into host cells and blocked viral infection in vitro and in vivo. This study characterizes easy to produce memrbane nanoantagonists of SARS CoV 2 that enrich the existing antiviral arsenal and provide possibilities for COVID 19 treatment.
Longitudinal changes in trauma narratives over the first year and associations with coping and mental health.
Venue: Journal of affective disorders
Year: 2020

The structure of trauma memories impacts mental health, but questions remain about how structure changes with time and may shape coping with trauma. This study considered the structure of trauma narratives collected during an emergency department (ED) visit and at one year follow up. We addressed change in narrative structure over time, the extent structure predicted twelve month psychological symptoms, and possible mechanisms in coping responses.  Sixty eight community adults (age range 18 67; 41% women) recruited from a trauma center ED provided narratives of the traumatic event that brought them to the ED. Participants provided multiple follow up reports on psychological symptoms and coping strategies, and another narrative of the traumatic event at twelve months.  Narrative structure improved over time. Baseline narrative structure was negatively associated with twelve month depressive and posttraumatic symptoms. Two measures of trauma narrative structure interpretive elaboration and coherence predicted change in coping strategies. Interpretive elaboration (rich details of the subjective experience) promoted early gains in endorsed engagement and later declines in endorsed disengagement. Coherence (the overall thematic structure of the narrative) buffered participant endorsement of disengagement at earlier follow ups. Engagement was tied with fewer reported symptoms, whereas disengagement was associated with higher reported symptoms. Coping served as a mediator between baseline narrative structure and later mental health.  The study sample was relatively small and depended on self reports for symptoms.  Findings suggest there is meaningful variability in trauma memory structure, and early recollections of traumatic experiences may improve targeting of individuals in need of active interventions.
Civil society between void and action the case of refugee support on Lesvos
Venue: Local Environment
Year: 2019

The Greek island of Lesvos, a holiday destination, became the main entry point for forced migrants to Europe in the fall 2015. The role that civil society has played in tackling the forced migration crisis on Lesvos, like in many other places in the EU, has been immense. However, the sheer number of refugees arriving, the interplay between local and international initiatives, conflicts between actors, the specific, and often one sided, attention of the media, the clash between the holiday location and the humanitarian ecological disaster and the fact that volunteers were the frontline response at the border of Europe for quite some time makes this a special case. Geuijen et al.  explored if the Public Value theory by Moore [1995.  Strategic Management in Government. ] could be useful in guiding analysis and action with respect to situations as experienced on Lesvos. Bryson et al. [2016. "Towards A Multi Actor Theory of Public Value Co Creation." Draft submission to Public Management Review. Accessed November 2017. /xmlui/bitstream/handle/11250/2433237/Sorensen.pdf?sequence=2&isAllowed=y] has called for a modification of the theory of public value, in particular the strategic triangle framework, to adapt it to a more complicated world and building a more general theory of public value creation. In this article a conceptual model will be presented that builds on Moore's Public Value but, extended to help deal with the complexity of situations like on Lesvos.
Patient Engagement, Chronic Illness, and the Subject of Health Care Reform
Venue: Medical anthropology
Year: 2020

In the United States, in the wake of health care reform, health care systems have been subject to intensifying demands to increase patient engagement, a term that refers broadly to participation in care. We draw from ethnographic research in urban health care safety net settings in California to examine efforts to increase patient engagement among chronically ill, marginalized patients who have long been disconnected from outpatient care. We suggest that the work of engagement in this context involved getting people to accept the norms of biomedicine while also reworking these norms to account for the complex circumstances of their lives.
MORPHODYNAMIC MODELING OF FLOW AND SEDIMENT TRANSPORT OVER LOW HEAD RUN OF RIVER DAMS Submitted
Year: 2018

MORPHODYNAMIC MODELING OF FLOW AND SEDIMENT TRANSPORT OVER LOW HEAD, RUN OF RIVER DAMS Low head or Run of River (RoR) dams exist on all types of rivers throughout the United States, yet the exact mechanisms of how sediment moves around the structures have not been well researched. Due to the increasing use of RoR dams in small hydroelectric projects, there is a need to better understand the controlling factors of how sediment passes over these dams. A one dimensional morphodynamic model was developed to investigate the effects of RoR dams on channel morphology over long time scales. The model solves the gradually varied flow equations to compute the flow field in the vicinity of the dam, computes grain size specific sediment transport rates, and uses sediment mass conservation and vertical storage bookkeeping to calculate the evolution of bed elevation, the bed surface grain size distribution, and the vertical pattern of stratigraphy. The model's hydraulic calculations were calibrated using data collected from a series of flume experiments performed with a model RoR dam to better capture the non hydrostatic flow over a dam. Numerical experiments designed to investigate how the grain size distribution of the sediment supply rate, flow rate (steady and unsteady) and dam height act as controls on sediment passage over RoR dams were conducted using parameters reported in the literature for a RoR dam in northern Delaware.These one dimensional simulations were complemented with a few simulations using, a two dimensional morphodynamic model, Nays2DH. The 1D simulation results show that the stored sediment upstream of RoR dams does depend on the sediment supply, dam height, grain size and flow discharge. Once sedimentation in the reservoir has reached equilibrium, high flow events will reduce or scour the sediment while lower flows will typically increase the amount of sediment behind the dam. Finally, a dam that stores more sediment will have greater downstream effects in terms of changes to grain sizes and bed elevation due to the increased time it
Convolutional Neural Network and Saliency Selection for Blind Image Quality Assessment
Venue: 2018 25th IEEE International Conference on Image Processing (ICIP)
Year: 2018

In this paper, we propose a degradation based image quality metric without reference using a Convolutional Neural Network (CNN) model and saliency patch selection. The degradation of the image is first identified and the corresponding saliency map is computed. The saliency map is here used to select patches according to their perceptual relevance, while the degradation identification step allows having a specific CNN model, which permits to improve the performance. A CNN model is then used to estimate the quality of each patch and the overall quality is given by the average of the obtained scores. The proposed method was evaluated through three well known datasets and was compared to some recent methods.
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
Venue: ECCV
Year: 2020

This paper studies the problem of predicting future trajectories of people in unseen cameras of novel scenarios and views. We approach this problem through the real data free setting in which the model is trained only on 3D simulation data and applied out of the box to a wide variety of real cameras. We propose a novel approach to learn robust representation through augmenting the simulation training data such that the representation can better generalize to unseen real world test data. The key idea is to mix the feature of the hardest camera view with the adversarial feature of the original view. We refer to our method as SimAug. We show that SimAug achieves promising results on three real world benchmarks using zero real training data, and state of the art performance in the Stanford Drone and the VIRAT/ActEV dataset when using in domain training data.
Unsupervised Learning of Depth and Ego Motion From Cylindrical Panoramic Video
Venue: 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
Year: 2019

We introduce a convolutional neural network model for unsupervised learning of depth and ego motion from cylindrical panoramic video. Panoramic depth estimation is an important technology for applications such as virtual reality, 3d modeling, and autonomous robotic navigation. In contrast to previous approaches for applying convolutional neural networks to panoramic imagery, we use the cylindrical panoramic projection which allows for the use of the traditional CNN layers such as convolutional filters and max pooling without modification. Our evaluation of synthetic and real data shows that unsupervised learning of depth and ego motion on cylindrical panoramic images can produce high quality depth maps and that an increased field of view improves ego motion estimation accuracy. We also introduce Headcam, a novel dataset of panoramic video collected from a helmet mounted camera while biking in an urban setting.