nils-herrmann/clean_scirepeval huggingface dataset:
ELEMENTY TEKhNOLOGII VYRAShchIVANIIa LISTOVOI BIOMASSY AMARANTA S POVYShENNYM SODERZhANIEM ANTIOKSIDANTOV DLIa POLUChENIIa FUNKTsIONAL'NYKh PRODUKTOV PRFILAKTIChESKOGO NAZNAChENIIa

Diverse technological methods are widely used in horticulture to improve the energy of seed germination, as well as growth and development of plants and their productivity. Ecologically safe methods to accelerate the plant growth processes are known as a presowing treatment of seeds and foliar feeding by plant growth stimulating agents of natural origin. Pre sowing seed treatment is necessary when plants grow and maturate not simultaneously, as noticed in amaranth. The action of growth stimulating agents is an influence in slight concentration not only on biometrical plant parameters, but also on photosynthetic reactions and whole plant physiology. The seed treatment by preparations containing biologically active substances is not only ecologically safe methods but also an economically profitable. Consequently, improvement of quality in vegetable crops by high content of biologically active substances in them, such as polyphenols can be reached with technologies based on the use of preparations, containing biologically active substances and biogenic chemical elements. It was shown that distinctive feature of red leaf plants of amaranth cultivar 'Valentina' was a very variable concentration of phenolic compounds such as flavonoids (quercetin, apigenin and their glycosides) hydroxycinnamic acids, simple phenols, polymeric and condensed polyphenols in different aged leaves at the time of vegetation. Moreover, the metabolite variation, antioxidant in fractions of phenolic compounds, obtained from different aged leaves, was increased by biopreparations of natural origin. It is supposed that those preparations had an effect on stress action system as in protective plant reaction, increasing the antioxidants content. The data obtained has shown that the plants of amaranth, as a promising source of antioxidants, can be used to develop functional food products and phytopreparations.
Psychological Treatments for Depression and Anxiety in Dementia and Mild Cognitive Impairment
Venue: Issues in mental health nursing

The Mission of the Cochrane Nursing Care Field (CNCF) is to improve health outcomes through increasing the use of the Cochrane Library and supporting Cochrane's role by providing an evidence base for nurses and related healthcare professionals involved in delivering, leading, or researching nursing care. The CNCF produces "Cochrane Corner" columns (summaries of recent nursing care relevant Cochrane Reviews) that are regularly published in collaborating nursing care related journals. Information on the processes this Field has developed can be accessed at: http:/cncf.cochrane.org/evidence transfer program review summaries
Self Management Programs on eGFR, Depression, and Quality of Life among Patients with Chronic Kidney Disease: A Meta Analysis.
Venue: Asian nursing research

Chronic kidney disease (CKD) is a condition characterized by the gradual loss of kidney function over time. Self management programs have been widely applied to chronic disease education programs, which are designed to delay deteriorating kidney functions, preclude depression, and improve quality of life. This study aims to analyze effectiveness of self management programs in bettering CKD patients' eGFR, mitigating depression symptoms and improving quality of life in randomized control or clinical trials.  Using key terms, a search was conducted in English language, peer reviewed journals on CKD that were published between 2002 and 2014 on databases including CINAHL, Cochrane Library, MEDLINE. The measurable variables included CKD patients' eGFR, depression, and quality of life. Random and fixed effects meta analysis were applied with standard error and correlation based measure of effect size.  Eight studies met the inclusion criteria. A self management program significantly impacted CKD patients' depression and mental quality of life dimensions, with an effect size of .29 [95% confidence interval (CI) (0.07, 0.53) and .42 [95% CI 0.75, 0.10) However, the intervention of a self management program had no significant effect on patients' eGFR as well as physical quality of life dimensions, with effect sizes of .06 [95% CI 0.69, 0.81) and .16 [95% CI 0.81, 0.50) CONCLUSIONS Self management programs of patients with chronic kidney disease can improve the depression and mental quality of life. Aside from providing more objective evidence based results, this study provides a reference for clinical health care personnel who tend to patients with CKD.
Racial/Ethnic Disparities in Antenatal Depression in the United States: A Systematic Review
Venue: Maternal and Child Health Journal

More than 10 of pregnant women in the United States (U.S. suffer from depression, which has far reaching consequences on maternal and fetal well being. There is conflicting evidence regarding the prevalence of antenatal depression among different race and ethnic groups. This systematic review aimed to summarize the existing literature concerning racial/ethnic disparities in the prevalence and correlates of antenatal depression in the U.S.  PubMed, CINAHL and PsycINFO databases were searched online for research studies published in English in peer reviewed journals until March 2015, using a pre designed search strategy.  and quality was assessed.  Forty one (41) articles met the criteria; 13 were cross sectional, and 21 were longitudinal studies. Overall, the prevalence of antenatal depression was 10 30 it was higher among non Hispanic blacks (NHBs) and Hispanics, compared to non Hispanic whites (NHWs) Few studies looked at the correlates of depression by race/ethnicity. Among employed women, higher depression scores were observed among NHBs, compared to NHWs; while there was no racial difference among unemployed women. Racial difference and race employment interaction disappeared once discrimination was accounted for. In another study, higher parity, higher stress, and lower self esteem were significant correlates of depression among NHBs, while less satisfaction with social support, and higher stress predicted higher depression scores among NHWs and Hispanics respectively.  The findings of our review suggest that not only is antenatal depression a major public health issue that needs to be addressed, but different racial/ethnic groups seem to differ in their vulnerability and risk factors.
Systematic Review of Cognitive Effects of Electroconvulsive Therapy in Late Life Depression.
Venue: The American journal of geriatric psychiatry official journal of the American Association for Geriatric Psychiatry

Late life depression (LLD) is known to negatively impact cognition even after remission of mood symptoms. Electroconvulsive therapy (ECT) and newer nonconvulsive electrical and magnetic brain stimulation interventions have been shown to have cognitive effects in patients with neuropsychiatric disorders.  This review systematically assessed the effects of ECT on cognition in LLD. EMBASE, Ovid Medline, and PsycINFO were systematically searched through June 2015. The search was limited to publications from peer reviewed journals in the English language.  A total of 5,154 publications was identified; 318 were reviewed in full text, of which 39 publications related to ECT were included. We focused this review only on ECT because evidence on newer interventions was deemed insufficient for a systematic review. This literature suggests increased rates of interictal and postictal cognitive decline with ECT but no long term (i.e. 6 months or longer) deleterious effects on cognition. Instead, long term cognitive outcomes with ECT have been reported as either not changed or improved. This literature favors nondominant unilateral ECT over bilateral ECT for cognition.  Published literature on brain stimulation interventions in LLD is mainly limited to ECT. This literature suggests that deleterious effects of ECT in LLD are limited and transient, with better cognitive outcomes with unilateral ECT. There is not enough evidence to fully characterize long term deleterious effects of ECT or effects of newer brain stimulation techniques on cognition in LLD.
Persistent HIV 1 replication maintains the tissue reservoir during therapy
Venue: Nature

Lymphoid tissue is a key reservoir established by HIV 1 during acute infection. It is a site associated with viral production, storage of viral particles in immune complexes, and viral persistence. Although combinations of antiretroviral drugs usually suppress viral replication and reduce viral RNA to undetectable levels in blood, it is unclear whether treatment fully suppresses viral replication in lymphoid tissue reservoirs. Here we show that virus evolution and trafficking between tissue compartments continues in patients with undetectable levels of virus in their bloodstream. We present a spatial and dynamic model of persistent viral replication and spread that indicates why the development of drug resistance is not a foregone conclusion under conditions in which drug concentrations are insufficient to completely block virus replication. These data provide new insights into the evolutionary and infection dynamics of the virus population within the host, revealing that HIV 1 can continue to replicate and replenish the viral reservoir despite potent antiretroviral therapy.
Sound classification based on spectrogram for surveillance applications
Venue: 2016 IEEE International Conference on Network Infrastructure and Digital Content (IC NIDC)

This paper presents an audio event classification algorithm which automatically classifies an audio event as footstep, glass breaking, gunshot or scream mainly for surveillance applications. First, the Gabor feature of the audio spectrogram is extracted, there are two kinds of Gabor features, namely global Gabor feature and local Gabor feature. Then we use Principal Components Analysis (PCA) and Linear Discriminant Analysis (LDA) to compress the feature dimension, finally the K nearest neighbor classifier (KNN) is used to recognize audio events. We carried out extensive experiments on the clean and noisy audio sets. Our results demonstrate that the algorithm is able to guarantee a recall of 96.1% on clean sets and is proved to be more effective than traditional methods.
An Integration Framework of Three Dimensional Wireless Multimedia Sensor Network with Cloud Computing for Surveillance Applications

Three Dimensional Wireless Multimedia Sensor Networks (3 D WMSNs) are the type of WSN. These networks deal with multimedia content such as images in various formats, video, and audio etc. Moreover 3 D WMSNs are widely used for surveillance applications, underwater monitoring, aerial surveillance, urban warfare, monitoring infrastructure of national importance etc.  The system presents an integrated framework of three dimensional wireless multimedia sensor network with cloud computing for surveillance applications. The integrated framework of 3D WMSNs with cloud computing is suitable for monitoring and surveillance in multi floor buildings or marine environment. The client utilizes http protocol to interact with framework. At the server side, the sensor nodes collect the data and transfer the data to cloud where it is stored and processed in a distributed environment. On the client side, the user utilizes web services to retrieve data from the distributed SQL databases.  User can fully access cloud service using devices that have internet capabilities. The work focuses distributed computing and resource allocation of processing three dimensional wireless multimedia sensor data, and performance evaluation over various parameters settings in a cloud environment.  We utilize CloudSim for simulating the cloud computing environment. The benefits of the system include basic computing hardware and reasonable storage capacities making it suitable for any 3D WMSN which provides real time monitoring and surveillance.
Time frequency analysis for audio event detection in real scenarios
Venue: 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

We propose a sound analysis system for the detection of audio events in surveillance applications. The method that we propose combines short and long time analysis in order to increase the reliability of the detection. The basic idea is that a sound is composed of small, atomic audio units and some of them are distinctive of a particular class of sounds. Similarly to the words in a text, we count the occurrence of audio units for the construction of a feature vector that describes a given time interval. A classifier is then used to learn which audio units are distinctive for the different classes of sound. We compare the performance of different sets of short time features by carrying out experiments on the MIVIA audio event data set. We study the performance and the stability of the proposed system when it is employed in live scenarios, so as to characterize its expected behavior when used in real applications.
Audio Surveillance
Venue: ACM Comput. Surv.

Despite surveillance systems becoming increasingly ubiquitous in our living environment, automated surveillance, currently based on video sensory modality and machine intelligence, lacks most of the time the robustness and reliability required in several real applications. To tackle this issue, audio sensory devices have been incorporated, both alone or in combination with video, giving birth in the past decade, to a considerable amount of research. In this article, audio based automated surveillance methods are organized into a comprehensive survey: A general taxonomy, inspired by the more widespread video surveillance field, is proposed to systematically describe the methods covering background subtraction, event classification, object tracking, and situation analysis. For each of these tasks, all the significant works are reviewed, detailing their pros and cons and the context for which they have been proposed. Moreover, a specific section is devoted to audio features, discussing their expressiveness and their employment in the above described tasks. Differing from other surveys on audio processing and analysis, the present one is specifically targeted to automated surveillance, highlighting the target applications of each described method and providing the reader with a systematic and schematic view useful for retrieving the most suited algorithms for each specific requirement.
Bayesian Identification of Hidden Markov Models and Their Use for Condition Based Monitoring
Venue: IEEE Transactions on Reliability

In this paper, we propose a Bayesian estimation scheme for hidden Markov model (HMM) parameters, as well as a method for monitoring systems whose degradation processes are modeled using HMMs identified using this novel estimation approach. The Bayesian estimation naturally yields information about model parametric uncertainties via posterior distributions of HMM parameters emanating from the estimation procedure. Numerous simulations implementing the newly proposed method for estimation of HMM parameters were conducted demonstrating its capability to identify several types of HMMs, including the commonly encountered ergodic and homogeneous HMM, as well as less commonly studied nonergodic or/and nonhomogeneous HMM. In addition, a novel condition monitoring scheme based on uncertain HMMs of the degradation process is proposed and demonstrated on a large dataset obtained from a semiconductor manufacturing facility. A small portion of the data was used to build operating mode specific HMMs of machine degradation via the newly proposed Bayesian estimation, while the remainder of the data was used for condition monitoring based on the uncertain degradation HMMs yielded by the novel Bayesian estimation method. Comparison with a traditional sensory signature based statistical monitoring method showed that the newly proposed approach significantly outperforms the traditional method in terms of its detection capabilities and false alarm ratios.
Fabrication of Large Scale Microlens Arrays Based on Screen Printing for Integral Imaging 3D Display.
Venue: ACS applied materials interfaces

The low cost large scale fabrication of microlens arrays (MLAs) with precise alignment, great uniformity of focusing, and good converging performance are of great importance for integral imaging 3D display. In this work, a simple and effective method for large scale polymer microlens arrays using screen printing has been successfully presented. The results show that the MLAs possess high quality surface morphology and excellent optical performances. Furthermore, the microlens' shape and size, i.e. the diameter, the height, and the distance between two adjacent microlenses of the MLAs can be easily controlled by modifying the reflowing time and the size of open apertures of the screen. MLAs with the neighboring microlenses almost tangent can be achieved under suitable size of open apertures of the screen and reflowing time, which can remarkably reduce the color moire patterns caused by the stray light between the blank areas of the MLAs in the integral imaging 3D display system, exhibiting much better reconstruction performance.
Computationally efficient analysis of extraordinary optical transmission through infinite and truncated subwavelength hole arrays.
Venue: Physical review. E

The authors present a computationally efficient technique for the analysis of extraordinary transmission through both infinite and truncated periodic arrays of slots in perfect conductor screens of negligible thickness. An integral equation is obtained for the tangential electric field in the slots both in the infinite case and in the truncated case. The unknown functions are expressed as linear combinations of known basis functions, and the unknown weight coefficients are determined by means of Galerkin's method. The coefficients of Galerkin's matrix are obtained in the spatial domain in terms of double finite integrals containing the Green's functions (which, in the infinite case, is efficiently computed by means of Ewald's method) times cross correlations between both the basis functions and their divergences. The computation in the spatial domain is an efficient alternative to the direct computation in the spectral domain since this latter approach involves the determination of either slowly convergent double infinite summations (infinite case) or slowly convergent double infinite integrals (truncated case) The results obtained are validated by means of commercial software, and it is found that the integral equation technique presented in this paper is at least two orders of magnitude faster than commercial software for a similar accuracy. It is also shown that the phenomena related to periodicity such as extraordinary transmission and Wood's anomaly start to appear in the truncated case for arrays with more than 100 (10x10) slots.
Integral imaging microscopy with enhanced depth of field using a spatial multiplexing.
Venue: Optics express

A depth of field enhancement method for integral imaging microscopy system using a spatial multiplexing structure consisting of a beamsplitter with dual video channels and micro lens arrays is proposed. A computational integral imaging reconstruction algorithm generates two sets of depth sliced images for the acquired depth information of the captured elemental image arrays and the well focused depth slices of both image sets are combined where each is focused on a different depth plane of the specimen. A prototype is implemented, and the experimental results demonstrate that the depth of field of the reconstructed images in the proposed integral imaging microscopy is significantly increased compared with conventional integral imaging microscopy systems.
Dual view integral imaging 3D display by using orthogonal polarizer array and polarization switcher.
Venue: Optics express

In this paper, a dual view integral imaging three dimensional (3D) display consisting of a display panel, two orthogonal polarizer arrays, a polarization switcher, and a micro lens array is proposed. Two elemental image arrays for two different 3D images are presented by the display panel alternately, and the polarization switcher controls the polarization direction of the light rays synchronously. The two elemental image arrays are modulated by their corresponding and neighboring micro lenses of the micro lens array, and reconstruct two different 3D images in viewing zones 1 and 2, respectively. A prototype of the dual view II 3D display is developed, and it has good performances.
Keldysh field theory for driven open quantum systems.
Venue: Reports on progress in physics. Physical Society

Recent experimental developments in diverse areas ranging from cold atomic gases to light driven semiconductors to microcavity arrays move systems into the focus which are located on the interface of quantum optics, many body physics and statistical mechanics. They share in common that coherent and driven dissipative quantum dynamics occur on an equal footing, creating genuine non equilibrium scenarios without immediate counterpart in equilibrium condensed matter physics. This concerns both their non thermal stationary states and their many body time evolution. It is a challenge to theory to identify novel instances of universal emergent macroscopic phenomena, which are tied unambiguously and in an observable way to the microscopic drive conditions. In this review, we discuss some recent results in this direction. Moreover, we provide a systematic introduction to the open system Keldysh functional integral approach, which is the proper technical tool to accomplish a merger of quantum optics and many body physics, and leverages the power of modern quantum field theory to driven open quantum systems.
Institutional Determinants of Venture Capital Activity: A Survey of the Literature and a Research Agenda

Venture Capital (VC) was borne and has flourished in the United States, yet it has only limitedly developed in other geographical areas. A conspicuous body of research have been carried out to investigate the factors which are more conducive to VC activism, and to the analysis of which factors may better explain the differences in the degree of development and performance across different geographical contexts. However, there is has been only a limited effort in the extant scientific literature on systematizing what we know (and what we do not know) about the institutional factors that may spur VC activity. This paper tries to close that gap, through a careful systemic survey of the existing literature on the topic, we depict the state of the art on the scientific knowledge produced on the institutional determinants of VC activity. Grounding on the seminal distinction by North (1990) we will pay specific attention to formal (e.g. laws and formal rules) and also to those informal (e.g. cultural norms and tacit codes of behaviour) institutions which are found by the extant (mostly empirical) economic and management literature to affect the development of the VC industry and the activism of VC investors. Building on that, this paper aims to draw some considerations about interesting avenues for future research in this domain.