nils-herrmann/clean_scirepeval huggingface dataset:
Factors associated with knowledges and attitudes about measles and rubella immunization in a non health care occupational setting in Japan.
Venue: Journal of infection and chemotherapy official journal of the Japan Society of Chemotherapy
Year: 2020

Elimination of measles and rubella has been achieved in several countries and some regions. After verified measles elimination, some countries have reported outbreaks among adults in occupational settings such as health care institution and school setting. Studies have reported that knowledge and attitude for measles and/or rubella are significantly associated with immunization uptake in adults, but few studies have been conducted in settings other than health care facilities and schools.  We conducted a cross sectional study among 134 office employees during a routine health checkup in June 17 20, 2014, to examine the association between willingness to receive immunization and knowledge and attitudes.  Approximately 75% had a protective level of antibody for measles (PA>=1:256) and rubella (HI 32 IU/mL) After adjustment for sex, age and immune status, the attitudes that immunization prevents measles (adjusted odds ratio [aOR] 7.8, 95% confidence interval [95%CI] 2.5 24.7) and prevents infection and transmission to others (aOR 4.0, 95%CI: 1.4 11.4) Knowing that males are the vulnerable group for rubella infection (aOR 5.8, 95%CI: 2.4 13.9) attitude that immunization prevents rubella infection (aOR 7.9, 95%CI: 2.4 26.5) and prevents infection and transmit to others (aOR 6.7, 95%CI: 2.2 20.1) were significantly associated with willingness to receive immunization after adjustment for sex, age, and immune status.  Studies have shown that physicians and other health care workers are important source of information for promotion of immunization. Thus, we recommend that physicians educate and promote immunization for measles and/or rubella to adults working in offices during routine health checks.
The mismatch repair and meiotic recombination endonuclease Mlh1 Mlh3 is activated by polymer formation and can cleave DNA substrates in trans
Venue: PLoS biology
Year: 2017

Crossing over between homologs is initiated in meiotic prophase by the formation of DNA double strand breaks that occur throughout the genome. In the major interference responsive crossover pathway in baker's yeast, these breaks are resected to form 3' single strand tails that participate in a homology search, ultimately forming double Holliday junctions (dHJs) that primarily include both homologs. These dHJs are resolved by endonuclease activity to form exclusively crossovers, which are critical for proper homolog segregation in Meiosis I. Recent genetic, biochemical, and molecular studies in yeast are consistent with the hypothesis of Mlh1 Mlh3 DNA mismatch repair complex acting as the major endonuclease activity that resolves dHJs into crossovers. However, the mechanism by which the Mlh1 Mlh3 endonuclease is activated is unknown. Here, we provide evidence that Mlh1 Mlh3 does not behave like a structure specific endonuclease but forms polymers required to generate nicks in DNA. This conclusion is supported by DNA binding studies performed with different sized substrates that contain or lack polymerization barriers and endonuclease assays performed with varying ratios of endonuclease deficient and endonuclease proficient Mlh1 Mlh3. In addition, Mlh1 Mlh3 can generate religatable double strand breaks and form an active nucleoprotein complex that can nick DNA substrates in trans. Together these observations argue that Mlh1 Mlh3 may not act like a canonical, RuvC like Holliday junction resolvase and support a novel model in which Mlh1 Mlh3 is loaded onto DNA to form an activated polymer that cleaves DNA.
Sperm viability and gene expression in honey bee queens (Apis mellifera) following exposure to the neonicotinoid insecticide imidacloprid and the organophosphate acaricide coumaphos.
Venue: Journal of insect physiology
Year: 2016

Honey bee population declines are of global concern. Numerous factors appear to cause these declines including parasites, pathogens, malnutrition and pesticides. Residues of the organophosphate acaricide coumaphos and the neonicotinoid insecticide imidacloprid, widely used to combat Varroa mites and for crop protection in agriculture, respectively, have been detected in wax, pollen and comb samples. Here, we assess the effects of these compounds at different doses on the viability of sperm stored in the honey bee queens' spermatheca. Our results demonstrate that sub lethal doses of imidacloprid (0.02ppm) decreased sperm viability by 50% 7days after treatment. Sperm viability was a downward trend (about 33% in queens treated with high doses of coumaphos (100ppm) but there was not significant difference. The expression of genes that are involved in development, immune responses and detoxification in honey bee queens and workers exposed to chemicals was measured by qPCR analysis. The data showed that expression levels of specific genes were triggered 1day after treatment. The expression levels of P450 subfamily genes, CYP306A1, CYP4G11 and CYP6AS14 were decreased in honey bee queens treated with low doses of coumaphos (5ppm) and imidacloprid (0.02ppm) Moreover, these two compounds suppressed the expression of genes related to antioxidation, immunity and development in queens at day 1. Up regulation of antioxidants by these compounds in worker bees was observed at day 1. Coumaphos also caused a repression of CYP306A1 and CYP4G11 in workers. Antioxidants appear to prevent chemical damage to honey bees. We also found that DWV replication increased in workers treated with imidacloprid. This research clearly demonstrates that chemical exposure can affect sperm viability in queen honey bees.
Raythena: a vertically integrated scheduler for ATLAS applications on heterogeneous distributed resources
Year: 2020

The ATLAS experiment has successfully integrated HighPerformance Computing resources (HPCs) in its production system. Unlike the current generation of HPC systems, and the LHC computing grid, the next generation of supercomputers is expected to be extremely heterogeneous in nature: different systems will have radically different architectures, and most of them will provide partitions optimized for different kinds of workloads. In this work we explore the applicability of concepts and tools realized in Ray (the high performance distributed execution framework targeting large scale machine learning applications) to ATLAS event throughput optimization on heterogeneous distributed resources, ranging from traditional grid clusters to Exascale computers. We present a prototype of Raythena, a Ray based implementation of the ATLAS Event Service (AES) a fine grained event processing workflow aimed at improving the efficiency of ATLAS workflows on opportunistic resources, specifically HPCs. The AES is implemented as an event processing task farm that distributes packets of events to several worker processes running on multiple nodes. Each worker in the task farm runs an event processing application (Athena) as a daemon. The whole system is orchestrated by Ray, which assigns work in a distributed, possibly heterogeneous, environment. For all its flexibility, the AES implementation is currently comprised of multiple separate layers that communicate through ad hoc command line and filebased interfaces. The goal of Raythena is to integrate these layers through a feature rich, efficient application framework. Besides increasing usability and robustness, a vertically integrated scheduler will enable us to explore advanced concepts such as dynamically shaping of workflows to exploit currently available resources, particularly on heterogeneous systems.
Discriminative body part interaction mining for mid level action representation and classification
Venue: J. Vis. Commun. Image Represent.
Year: 2018

In this paper, we propose a novel mid level feature representation for the recognition of actions in videos. This descriptor proves to posses relevant discriminative power when used in a generic action recognition pipeline. It is well known that mid level feature descriptors learnt using class oriented information are potentially more distinctive than the low level features extracted in a bottom up unsupervised fashion. In this regard, we introduce the notion of concepts, a mid level feature representation capable of tracking the dynamics of motion salient regions over consecutive frames in a video sequence. Our feature representation is based on the idea of region correspondence over consecutive frames and we make use of an unsupervised iterative bipartite graph matching algorithm to extract representative visual concepts from action videos. The progression of such salient regions, which are also consistent in appearance, are henceforth represented as chain graphs. Finally, we adopt an intuitive time series pooling strategy to extract discriminant features from the chains, which are then used in a dictionary learning based classification framework. Given the high variability of the movements of different human body parts in separate actions, the extracted conceptual descriptors are proved to capture the different dynamic characteristics by exclusively encoding the interaction parts associated to the chains. Further, we use such descriptors in a semi supervised, clustering based zero shot action recognition setting, showing good performance and without resorting to costly attribute annotation. We validate the proposed framework on four public datasets namely KTH, UCF 101, HOHA and HMDB 51, reporting increased (and comparable in some cases) classification accuracies with respect to the state of the art.
Social Isolation and Loneliness Among San Francisco Bay Area Older Adults During the COVID 19 Shelter in Place Orders
Venue: Journal of the American Geriatrics Society
Year: 2020

Physical distancing during the COVID 19 pandemic may have unintended, detrimental effects on social isolation and loneliness among older adults. Our objectives were to investigate (1) experiences of social isolation and loneliness during shelter in place orders, and (2) unmet health needs related to changes in social interactions.
How to Share and Own a Secret
Venue: IACR Cryptol. ePrint Arch.
Year: 2021

Custodian service is a service safeguarding a firm's or individual's financial assets or secret information. Such services often present a user with a security versus ownership dilemma. The user does not wish to pass the full control over their asset to the custodian to facilitate safeguarding. A control sharing mechanism allowing the custodian to hold enough information and keeping the user as the owner of the asset is required. For the assets being secret information, cryptographic protocols addressing this dilemma are known as prepositioned secret sharing (PSS) protocols. PSS schemes distinguish redundant "common" shares and a specific "activating" shares controlling the very possibility of the secret information reconstruction. Usually PSS schemes: 1) lack robustness with respect to the amount of "common" shares, i.e. a high redundancy degree in "common" enables them to reconstruct the secret without "activation" and 2) are inflexible in configuring the robustness of the "activating" shares, i.e. how many "activating" shares can be lost or stolen before the secret can be reconstructed. In this paper, we present a PSS addressing these shortcomings.
Hepatorenales Syndrom
Venue: Der Nephrologe
Year: 2012

ZusammenfassungPatienten mit hepatorenalem Syndrom benotigen wegen der schlechten Prognose eine schnelle Identifikation ihrer Krankheit und eine prompte Zuordnung als Kandidaten fur eine orthotope Lebertransplantation (OLT) Eine erfolgreiche Vasokonstriktortherapie, kombiniert mit einer Albumintherapie, erhoht die Uberlebenswahrscheinlichkeit bei der Uberbruckung der kritischen Wartefrist bis zur Transplantation und fuhrt zu einer verbesserten renalen Funktion nach der OLT. In selektierten Fallen kann die Anlage eines TIPS oder die Nierenersatztherapie eine wichtige therapeutische Option darstellen. In den Fallen, bei denen Prognosefaktoren eine Persistenz der renalen Dysfunktion nach der Transplantation vorhersagen, kann eine sequenzielle oder simultane Leber Nieren Transplantation indiziert sein.AbstractA rapid identification of the disease and classification as orthotopic liver transplantation (OLT) candidate is necessary for patients with hepatorenal syndrome due to the poor prognosis. A successful vasoconstrictor therapy combined with albumin therapy increases the probability of survival during bridging of the critical waiting period to transplantation and leads to improved renal function following OLT. In selected cases placement of a transjugular intrahepatic portosystemic shunt (TIPS) or renal replacement therapy can represent an important therapeutic option. In cases where the prognostic factors predict a persistence of renal dysfunction after OLT, sequential or simultaneous liver kidney transplantation can be indicated.
The Machine Learning Approach for Analysis of Sound Scenes and Events
Year: 2018

This chapter explains the basic concepts in computational methods used for analysis of sound scenes and events. Even though the analysis tasks in many applications seem different, the underlying computational methods are typically based on the same principles. We explain the commonalities between analysis tasks such as sound event detection, sound scene classification, or audio tagging. We focus on the machine learning approach, where the sound categories (i.e. classes) to be analyzed are defined in advance. We explain the typical components of an analysis system, including signal pre processing, feature extraction, and pattern classification. We also preset an example system based on multi label deep neural networks, which has been found to be applicable in many analysis tasks discussed in this book. Finally, we explain the whole processing chain that involves developing computational audio analysis systems.
A Sampling based 3D Point Cloud Compression Algorithm for Immersive Communication
Venue: Mob. Networks Appl.
Year: 2020

3D point cloud is one of the most common and basic 3D object representation model that is widely used in virtual/augmented reality applications, e.g. immersive communication. Compression of 3D point cloud is a big challenge because of its huge data volume and irregular data structure. In this paper, we propose a sampling based compression algorithm for 3D point clouds. First, a 3D point cloud was resampled by a graph filter to obtain a subset of representative 3D points. Then, the representative points were compressed by the G PCC (geometry based point cloud compression) encoder software that was released by MPEG. Finally, the decoded representative points were used to reconstruct the original 3D point clouds by a CNN based up sampling approach. Experimental results demonstrate that a significant (73.15% bit rate reduction can be achieved by the proposed 3D point cloud compression algorithm with minimal quality degradation of the reconstructed 3D point clouds.
Deep Reinforcement Learning for Demand Aware Joint VNF Placement and Routing
Venue: 2019 IEEE Globecom Workshops (GC Wkshps)
Year: 2019

One main challenge facing the deployment of the network function virtualization is the resource allocation on demand. As the primary stage of the resource allocation, the effective virtual network function (VNF) placement and routing (P&R) is particularly difficult. To this end, we propose a deep reinforcement learning (DRL) based approach for solving the joint VNF P&R problem subject to diverse service demands. Our approach exhibits strong stability and excellent load balancing ability. It can also effectively counter the non uniformity of P&R policies. We first introduce the service request model, and formulate the VNF P&R problem, while taking both the resource consumption cost and service delay into the optimization objective. A demand aware factor is also employed to characterize the diversity of service demands. In the considered problem, the DRL based P&R scheme is presented, invoking the deep deterministic policy gradient as the main learning algorithm. According to the results of extensive experiments made on the realistic "COST266" network topology, our scheme can approach the optimum, and is superior to existing heuristic algorithms.
Cuentos del mundo la luz (I) innovacion didactica interdisciplinar para un bilinguismo de calidad
Year: 2015

espanolEl libro que tiene entre sus manos es excepcional. Fruto de la colaboracion de cuatro centros de educacion primaria y secundaria y dos universidades, una espanola y otra estadounidense, nace la presente edicion espanol ingles de cuentos del mundo sobre la luz. Los relatos son, en unos casos, una reescritura de narraciones orales tomadas de diferentes culturas y, en otros, brotan de la imaginacion de sus autores. Se trata de un material bilingue de gran calidad concebido con pretension didactica para ser empleado en cualquier aula de los mundos anglo y castellanoparlantes. Con la luz como hilo conductor tematico, la obra cuenta con actividades para trabajar desde cada idioma por separado o desde una perspectiva bilingue. Las ilustraciones han sido elaboradas por los alumnos de primaria de los colegios participantes. En la configuracion del volumen los editores han conjugado el rigor necesario en el aprendizaje de las lenguas en un contexto interdisciplinar con un elemento clave del aprendizaje en terminos modernos: la diversion. El resultado es brillante. Sin embargo, el secreto de tal logro esta en la ilusion de las decenas de personas que han puesto al servicio de esta empresa sus conocimientos y su talento para alumbrar un material que se halla impregnado de un espiritu educativo universal pocas veces visto. EnglishThe book in your hands is exceptional. This bilingual edition of global tales touching on light was born from the collaboration between four Spanish elementary and high schools, and two universities, one in Spain and the other in the USA. The narrations are in some cases recreations of oral tales from different cultures, and in other cases, sprung from their authors' own imagination. These are high quality bilingual materials developed with pedagogical aims, to be used in any Spanish or English speaking classroom. Using the topic of light as the main theme, the book includes activities for each language, as well as activities alternating between languages. The illustrations have been created by elementary school students from the institutions involved in the project. In the construction of the book, the editors have combined the precise tools needed for language teaching in an interdisciplinary context with a key element for successful instruction: entertainment. The results are outstanding. The secret of its success resides in the commitment of the dozens of people who contributed their talent and knowledge to create a book with a universal educational purpose seldom seen in the field.
Ferrous sludge from water clarification: Changes in waste management practices advisable
Venue: Journal of Cleaner Production
Year: 2019

Clarification via floccules of ferric hydroxide is a globally leading technology in processing and treating surface water, and converting it into drinking water. The ferric based coagulation sludge obtained is routinely dewatered and mixed with biowaste, assuming that the finest colloidal fractions of clay present will improve the cation exchange capacity of the composts produced. However, in relation to the application of these types of compost, farmers repeatedly and independently of one another reported lower yields and crops suffering from phosphorus deficiency, even under proper phosphorus fertilization. A 5 year study revealed that the cation exchange capacity tends to increase, which is beneficial over the long term. Nevertheless, the analyses performed revealed, for the first time, that this widespread practice lowers the level of mobile phosphorus, on average, by 62% and the level of extractable phosphorus by 55% To make things worse, the quality of the extractable phosphorus declines, since the biologically available calcium, magnesium and aluminum based phosphates are gradually being replaced by ferric phosphates (originating from the ferric sludge) Given that phosphorus is the most expensive nutrient, this finding is of great environmental and economic importance, since the formation of ferric phosphates locks this most expensive nutrient into a form available neither to soil microbiota nor plants. It is recommended that new ways of using ferric based coagulation sludge be developed.
Measurement of electron antineutrino oscillation based on 1230 days of operation of the Daya Bay experiment
Year: 2017

A measurement of electron antineutrino oscillation by the Daya Bay Reactor Neutrino Experiment is described in detail. Six 2.9 GWth nuclear power reactors of the Daya Bay and Ling Ao nuclear power facilities served as intense sources of ne's. Comparison of the ne rate and energy spectrum measured by antineutrino detectors far from the nuclear reactors ~1500 1950 m relative to detectors near the reactors ~350 600 m allowed a precise measurement of ne disappearance. More than 2.5 million ne inverse beta decay interactions were observed, based on the combination of 217 days of operation of six antineutrino detectors (December, 2011 July, 2012) with a subsequent 1013 days using the complete configuration of eight detectors (October, 2012 July, 2015) The ne rate observed at the far detectors relative to the near detectors showed a significant deficit, R=0.949+ 0.002(stat) 0.002(syst) The energy dependence of ne disappearance showed the distinct variation predicted by neutrino oscillation. Analysis using an approximation for the three flavor oscillation probability yielded the flavor mixing angle sin^2 2th_(13)=0.0841+ 0.0027(stat) 0.0019(syst) and the effective neutrino mass squared difference of |Dm^2_(ee)(2.50+ 0.06(stat) 0.06(syst))x10^ 3) eV^2. Analysis using the exact three flavor probability found Dm^2_(32)(2.45+ 0.06(stat) 0.06(syst))x10^ 3) eV^2 assuming the normal neutrino mass hierarchy and Dm^2_(32) 2.56+ 0.06(stat) 0.06(syst))x10^ 3) eV^2 for the inverted hierarchy.
Design of the Novel Wisdom Trap for Monochamus Alternatus
Year: 2021

In order to better use traps to monitor and control the pine wilt disease (PWD) transmitted by Monochamus alternatus, it is necessary to artificial intelligence research of traps. By consulting the literature, we found that the existing Monochamus alternatus traps generally had many shortcomings such as low levels of artificial intelligence and high operating costs. On the basis of circumventing the shortcomings of existing traps and integrating the advantages of existing traps, we designed the novel Wisdom Monochamus alternatus trap based on a new perspective of artificial intelligence. It integrates three functions of remote manipulation, pesticide application prevention and control, and natural enemy release. The research and development of this trap provide a novel basis for the protection of forestry resources and the development of new traps.