cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Questionnaire vs. Social Media Analysis - Case Study of Organic Food
Creators: name: Pilař, L.
name: Kvasničková Stanislavská, L.
name: Gresham, G.
name: Poláková, J.
name: Rojík, S.
name: Petkov, R.
name: Pilař, L.
name: Kvasničková Stanislavská, L.
name: Gresham, G.
name: Poláková, J.
name: Rojík, S.
name: Petkov, R.
Publisher: name: Unknown
Year: 2018
Subjects: subject: Research Methods/ Statistical Methods
subject: organic food
subject: questionnaire
subject: social media analysis
subject: hashtag
subject: healthy

description: The amount of European farm acreage devoted to organic foods has been increasing each year over the past three decades, as farmers strive to meet consumer demand for these products. To understand what factors drive this demand, researchers have focused on the end customers' perception of organic food and their motivations to purchase it. The standard research methods are questionnaires and literature review; however, these tend to be expensive, time consuming, or involve work with secondary data. This paper compares 14 studies carried out using standard research methods with the results of a social network analysis based on 344,231 posts by 73,380 Instagram users. The result of the comparison shows that in the case of organic food, the characteristic of "healthy" is the most important one to customers, both based on questionnaire surveys and the social network analysis. Moreover, based on these two analyses, 4 key areas can be identified as factors that are important to customers buying organic food: (1) health consciousness, (2) ecological motives, (3) tasty and (4) hedonism. As the results indicate, social network analysis can be considered a method with a high potential for gaining a greater insight into customers' perceptions.
Czech Agrarian Foreign Trade According to the Degree of Processing
Creators: name: Pohlová, K.
name: Smutka, L.
name: Laputková, A.
name: Svatoš, M.
name: Pohlová, K.
name: Smutka, L.
name: Laputková, A.
name: Svatoš, M.
Publisher: name: Unknown
Year: 2018
Subjects: subject: Agribusiness
subject: Agricultural Finance
subject: Community/Rural/Urban Development
subject: International Relations/Trade
subject: agrarian foreign trade
subject: degree of processing
subject: unprocessed commodities
subject: processed products

description: Added value of Czech agrarian trade is a frequently discussed topic. The goal of the New Strategy of the Ministry of Agriculture with the outlook until 2030 and of the Export Strategy of the Czech Republic for 2012-2020 is to improve the commodity structure of Czech agrarian exports and to increase the proportion of exported processed products and food with high added value. One of the key aspects to understanding the current state of the development of agrarian trade added value is methodology used for trade performance analysis. In fact, there are several methodologies related to attempts to estimate the real state of added value distribution in relation to foreign trade performance. None of the methods seems flawless, each is suitable for a different purpose in understanding the commodity structure specifics. Czech authorities apply methodology originally proposed by Regmi (2005) which, however, does not truly reflect the real state of the current commodity structure. The Research Institute of Agricultural Economics and Informatics is interested in developing its own method suitable for better understanding of the Czech agrarian foreign trade specifics. The objective of this paper is to specify the basic idea of the proposed methodology, to compare it with the already applied methodology and to present basic differences between the old and the new approaches. Presumably, the new classification can serve as a suitable tool for Czech agrarian trade analysis and provides a more precise overview of the degree of processing of traded commodities than other types of categorisation. Its advantages prevail over the disadvantages, which are less important. The new classification of unprocessed and processed products requires regular inspection and more frequent updates, as the 8-digit codes of the customs nomenclature continually change. At the end of the paper the agricultural trade performance is calculated according to the currently applied methodology and also according to the new proposed methodology. The results between both applied approaches are significant especially in mutual relation between processed and unprocessed items share in total trade. There are significant differences both in relation to EU countries and also non-EU countries.
Effect of different splitting criteria on the performance of speech emotion recognition
Creators: name: Atmaja, Bagus Tris
name: Sasou, Akira
Publisher: name: arXiv
Year: 2022
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Traditional speech emotion recognition (SER) evaluations have been performed merely on a speaker-independent condition; some of them even did not evaluate their result on this condition. This paper highlights the importance of splitting training and test data for SER by script, known as sentence-open or text-independent criteria. The results show that employing sentence-open criteria degraded the performance of SER. This finding implies the difficulties of recognizing emotion from speech in different linguistic information embedded in acoustic information. Surprisingly, text-independent criteria consistently performed worse than speaker+text-independent criteria. The full order of difficulties for splitting criteria on SER performances from the most difficult to the easiest is text-independent, speaker+text-independent, speaker-independent, and speaker+text-dependent. The gap between speaker+text-independent and text-independent was smaller than other criteria, strengthening the difficulties of recognizing emotion from speech in different sentences.
description: Accepted at TENCON 2021
Business Process Management in Linking Enterprise Information Technology in Companies of Agricultural Sector
Creators: name: Polakovič, P.
name: Šilerová, E.
name: Hennyeyová, K.
name: Slováková, I.
name: Polakovič, P.
name: Šilerová, E.
name: Hennyeyová, K.
name: Slováková, I.
Publisher: name: Unknown
Year: 2018
Subjects: subject: Agribusiness
subject: Farm Management
subject: Institutional and Behavioral Economics
subject: Teaching/Communication/Extension/Profession
subject: business process management
subject: enterprise information systems
subject: business infrastructure
subject: process management

description: Business Process Management is one of the most important components of a process-driven organization that we perceive as a sum of processes that are more or less follow-up. By adjusting and managing these processes, we can greatly influence the organization's performance, efficiency, flexibility and competitiveness. Business Process Management is important to support the technical infrastructure of modern information systems and communication technologies. These systems are part of the overall enterprise information system. The following article focuses on information and communication technologies for the proper and efficient functioning of process management in agro sectoral companies. This article presents a summary of theoretical knowledge and practical recommendations for creating and maintaining a process management system in enterprises with the support of information and communication technologies. For a more detailed analysis of this issue, statistical research, the partial results of which are subjected to statistical testing, are presented in the following article.
Statistical fluctuations of ground-state energies and binding energies in nuclei
Creators: name: Molinari, A.
name: Weidenmueller, H. A.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The statistical fluctuations of the ground-state energy and of the binding energy of nuclei are investigated using both perturbation theory and supersymmetry. The fluctuations are induced by the experimentally observed stochastic behavior of levels in the vicinity of neutron threshold. The results are compared with a recent analysis of binding-energy fluctuations by Bohigas and Leboeuf, and with theoretical work by Feshbach et al.
description: 8 pages, 2 figures
On the alleged nonlocal and topological nature of the molecular Aharonov-Bohm effect
Creators: name: Sjöqvist, Erik
Publisher: name: arXiv
Year: 2003
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The nonlocal and topological nature of the molecular Aharonov-Bohm (MAB) effect is examined for real electronic Hamiltonians. A notion of preferred gauge for MAB is suggested. The MAB effect in the linear + quadratic $E\otimes ε$ Jahn-Teller system is shown to be essentially analogues to an anisotropic Aharonov-Casher effect for an electrically neutral spin$-{1/2}$ particle encircling a certain configuration of lines of charge.
description: minor corrections, journal reference added
Non-leptonic beauty baryon decays and $CP$-asymmetries based on $SU(3)$-Flavor analysis
Creators: name: Roy, Shibasis
name: Sinha, Rahul
name: Deshpande, N. G.
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We consider hadronic weak decays of beauty-baryons into charmless baryons and pseudoscalar mesons in a general framework based on $SU(3)$ decomposition of the decay amplitudes. The advantage of the approach lies in the ability to perform an $SU(3)$ analysis of these decays without any particular set of dynamical assumptions while accounting for the effects of an arbitrarily broken $SU(3)$ flavor symmetry. Dictated by the symmetries of the effective Hamiltonian that allow us to relate or neglect reduced $SU(3)$ amplitudes, we derive several sum rule relations between amplitudes and relations between $CP$ asymmetries in these decays and identify those that hold even if $SU(3)$ is broken.
ЎЗБЕКИСТОН РЕСПУБЛИКАСИДА ЭРКИН ИҚТИСОДИЙ ЗОНАЛАР ФАОЛИЯТИНИНГ ЎЗИГА ХОС ХУСУСИЯТЛАРИ ВА УЛАРНИ ТАКОМИЛЛАШТИРИШ МАСАЛАЛАРИ
Creators: name: Умаралиева, Фарангиз
Publisher: name: Zenodo
Year: 2024

description: Бугунги кунда ЭИЗлар фаолиятининг ҳуқуқий асослари 2020 йилда қабул қилинган “Махсус иқтисодий зоналар тўғрисида”ги Қонун асосида тартибга солинади. Шунингдек, ушбу соҳа фаолиятини такомиллаштиришга қаратилган бир неча норматив-ҳуқуқий ҳужжатлар қабул қилинган.
REVIEW JURNAL ILMIAH_NAILATUL FADHILAH_1910526022_MANAJEMEN PEMASARAN 2.pdf
Creators: name: Nailatul Fadhilah
Publisher: name: figshare
Year: 2020
Subjects: subject: 159999 Commerce, Management, Tourism and Services not elsewhere classified
subject: FOS: Economics and business

description: Review jurnal sebagai tugas mata kuliah Manajemen Pemasaran 2
title: Potential of dairy digestate as a biofertilizer: effects on growth, yield and phytochemicals of lettuce in hydroponics
Creators: name: Faran, Muhammad
Publisher: name: Memorial University of Newfoundland
Year: 2020

description: Lettuce (Lactuca sativa L) is a leafy vegetable containing an immense variety of minerals, vitamins and health-promoting secondary metabolites which are required for normal functioning of human body and health. Anaerobic digestate contains proportionately higher mineralized nutrients particularly ammonium-N (NH4⁺ -N) compared to undigested materials, and therefore has the potential to be used as a mineral nutrient source in soil based and soilless culture. A pilot study was conducted at St. Davids dairy farm site to investigate the effects of anaerobic dairy digestate (DD), inorganic nutrient solution (NS) and combine application of DD and NS on the growth, yield and quality indices of lettuce varieties in hydroponics under controlled environment conditions. Results showed that NS produced significantly higher leaf area (LA), chlorophyll content, root dry weight, yield, minerals and vitamins concentration of lettuce, compared to DD solution which produced lower LA, chlorophyll contents, yield and higher concentration of phenolics (chicoric acid, chlorogenic acid, luteoline, quercitin-3-b-d-gluconide, quercitin-3-glucoside and quercitin-b-malonyl) and antioxidants. Romaine lettuce showed superior performance and produced higher LA, chlorophyll contents, root dry weight, yield, minerals, vitamins, total phenolics, total antioxidants and polyphenols than Newham. It can be concluded that DD can be used as an organic fertilizer/nutrient source in hydroponics to enhance phenolics and antioxidants of lettuce without significant reduction in yield. Further research is needed to reduce Ammonium-N/Nitrate (NH4⁺/NO3⁻) in DD without dilution to avoid phytotoxic effects of NH4⁺ and loss of other macro and micro nutrient , and to establish the utilization of DD as a sole fertilizer source in hydroponic system.
Ternary Quantized Polar Code Decoders: Analysis and Design
Creators: name: Neu, Joachim
name: Coşkun, Mustafa Cemil
name: Liva, Gianluigi
Publisher: name: arXiv
Year: 2019
Subjects: subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The performance of short polar codes under successive cancellation (SC) and SC list (SCL) decoding is analyzed for the case where the decoder messages are coarsely quantized. This setting is of particular interest for applications requiring low-complexity energy-efficient transceivers (e.g., internet-of-things or wireless sensor networks). We focus on the extreme case where the decoder messages are quantized with 3 levels. We show how under SCL decoding quantized log-likelihood ratios lead to a large inaccuracy in the calculation of path metrics, resulting in considerable performance losses with respect to an unquantized SCL decoder. We then introduce two novel techniques which improve the performance of SCL decoding with coarse quantization. The first technique consists of a modification of the final decision step of SCL decoding, where the selected codeword is the one maximizing the maximum-likelihood decoding metric within the final list. The second technique relies on statistical knowledge about the reliability of the bit estimates, obtained through a suitably modified density evolution analysis, to improve the list construction phase, yielding a higher probability of having the transmitted codeword in the list. The effectiveness of the two techniques is demonstrated through simulations.
New Rural Development and Hierarchical Governance in Vietnam: Impacts of government support on rural households’ income using a Hierarchical Linear Modelling
Creators: name: Do, M. H.
name: Park, S. Ch.
name: Do, M. H.
name: Park, S. Ch.
Publisher: name: Unknown
Year: 2018
Subjects: subject: Community/Rural/Urban Development
subject: Research and Development/Tech Change/Emerging Technologies
subject: Hierarchical Governance
subject: Multilevel Analysis
subject: Hierarchical Linear Modelling
subject: New Rural Development
subject: Vietnam

description: The New Rural Development (NRD) program is one of the most important policies in agriculture and rural development of Vietnam by 2020. In the period of 2010 – 2015, the government mobilized about 851,380 billion Vietnam Dong (VND) (approximately US$38.7 billion) for investments in rural development projects across the country. Among the top priorities, solving a broadening income and poverty gap between urban and rural areas, between leading and lagging regions, and among ethnic groups are one of the most essential issues. This research paper is targeted to provide an empirical evidence for answering the question whether the government assistance could effectively and positively impact on rural households’ income through the NRD program by using a hierarchical linear modelling (HLM). The results of the mixed effect model could firmly reveal that the financial assistance could positively influence on rural households’ income through investments in roads, income generation models, and technical trainings.
Topology of 3-manifolds and a class of groups II
Creators: name: Roushon, S. K.
Publisher: name: arXiv
Year: 2003
Subjects: subject: Geometric Topology (math.GT)
subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: Primary 20F19, 57M99 Secondary 20E99

description: This is a continuation of an earlier preprint (math.GT/0209121) under the same title. These papers grew out of an attempt to find a suitable finite sheeted covering of an aspherical 3-manifold so that the cover either has infinite or trivial first homology group. With this motivation we defined a new class of groups. These groups are in some sense eventually perfect. Here we prove results giving several classes of examples of groups which do (not) belong to this class. Also we prove some basic results on these groups and state two conjectures. A direct application of one of the conjectures to the virtual Betti number conjecture is mentioned. For completeness, here we reproduce parts of math.GT/0209121.
description: final version, 26 pages, Latex-2e file, accepted for publication in the special issue of the Boletin de la Sociedad Matematica Mexicana dedicated to Professor Francisco Gonzalez Acuna on the occasion of his 60'th birthday
Mean escape time over a fluctuating barrier
Creators: name: Iwaniszewski, Jan
Publisher: name: arXiv
Year: 2003
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Physical sciences

description: An approximate method for studying activation over a fluctuating barrier of potential is proposed. It involves considering separately the slow and fast components of barrier fluctuations, and it applies for any value of their correlation time $τ$. It gives exact results for the limiting values $τ\to 0$ and $τ\to \infty$, and the agreement with numerics in between is also excellent, both for dichotomic and Gaussian barrier perturbations.
description: 4 pages, 2 figures
Dispersion of digital $(0,m,2)$-nets
Creators: name: Kritzinger, Ralph
Publisher: name: arXiv
Year: 2020
Subjects: subject: Metric Geometry (math.MG)
subject: Combinatorics (math.CO)
subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: We study the dispersion of digital $(0,m,2)$-nets; i.e. the size of the largest axes-parallel box within such point sets. Digital nets are an important class of low-discrepancy point sets. We prove tight lower and upper bounds for certain subclasses of digital nets where the generating matrices are of triangular form and compute the dispersion of special nets such as the Hammersley point set exactly.
description: 14 pages
Using in silico modelling and FRET-based assays in the discovery of novel FDA-approved drugs as inhibitors of MERS-CoV helicase
Creators: name: N. Mehyar
name: A. Mashhour
name: I. Islam
name: S. Gul
name: A.O. Adedeji
name: A.S. Askar
name: M. Boudjelal
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: A Förster resonance energy transfer (FRET)-based assay was used to screen the FDA-approved compound library against the MERS-CoV helicase, an essential enzyme for virus replication within the host cell. Five compounds inhibited the helicase activity with submicromolar potencies (IC50, 0.73–1.65 µM) and ten compounds inhibited the enzyme with micromolar potencies (IC50, 19.6–502 µM). The molecular operating environment (MOE) was used to dock the identified inhibitors on the MERS-CoV helicase nucleotide binding. Strong inhibitors docked well in the nucleotide-binding site and established interactions with some of the essential residues. There was a reasonable correlation between the observed IC50 values and the MOE docking scores of the strong inhibitors (r2 = 0.74), indicating the ability of the in silico docking model to predict the binding of strong inhibitors. In silico docking could be a useful complementary tool used with the FRET-based assay to predict new MERS-CoV helicase inhibitors. The identified inhibitors could potentially be used in the clinical development of new antiviral treatment for MERS-CoV and other coronavirus related diseases, including coronavirus disease 2019 (COVID-19).
Gaugino Condensation and Generation of Supersymmetric 3-Form Flux
Creators: name: Cardoso, G. L.
name: Curio, G.
name: Dall'Agata, G.
name: Lust, D.
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We extend the linearised solution of Polchinski and Strassler describing the supergravity dual of the N=1* gauge theory. By analysing the equations of motion of type IIB supergravity at cubic order in the mass perturbation parameter, we demonstrate the emergence of a 3-form flux of type (3,0) with respect to the natural complex structure. The generation of this flux can be associated to the dynamical formation of a gaugino condensate in the confining phase of the N=1* gauge theory. We also check that the supersymmetry conditions are satisfied, and we discuss how this (3,0)-form flux is tied to the existence of a supersymmetric background with SU(2)-structure.
description: 29 pages, Latex
Target metabolomics study of early pathological signatures of Alzheimer’s disease in hippocampus of triple transgenic male mice
Creators: name: Yuxi Zhao
name: Haiquan Chen
name: Iqbal, Javed
name: Xukun Liu
name: Huajie Zhang
name: Shifeng Xiao
name: Jin, Na
name: Yao, Fang
name: Liming Shen
Publisher: name: figshare
Year: 2020
Subjects: Neuroscience

description: Alzheimer’s disease (AD) is a serious neurodegenerative disease in the people around 65 or above. The etiology and pathogenesis of AD have not been elucidated yet. In this study, the hippocampus of 2 and 6 months old triple transgenic AD (3×Tg-AD) male mice and age-sex matched wild-type (WT) mice were analyzed by target metabolomics study. Compared with the WT mice, 24 and 60 metabolites were found with significant differences in AD mice at 2 and 6 months age, respectively. Among these, 14 metabolites were found common while 10 metabolites showed consistent variable trends in both groups. These differential metabolites are found associated with amino acid, lipid, vitamin, nucleotide-related base, neurotransmitter and energy metabolisms and oxidative stress. The results suggest that these differential metabolites might play a critical role in AD pathophysiology, and may serve as potential biomarkers for AD. The results highlight the involvement of abnormal purine, pyrimidine, arginine and proline metabolism, along with glycerophospholipids metabolism in the early pathology of AD. For the first time, several differential metabolites are associated with AD in this study. Targeted metabolomics can be used for rapid and accurate quantitative analysis of specific target metabolites associated with AD.
Observing the emergence of a quantum phase transition -- shell by shell
Creators: name: Bayha, Luca
name: Holten, Marvin
name: Klemt, Ralf
name: Subramanian, Keerthan
name: Bjerlin, Johannes
name: Reimann, Stephanie M.
name: Bruun, Georg M.
name: Preiss, Philipp M.
name: Jochim, Selim
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Many-body physics describes phenomena which cannot be understood looking at a systems' constituents alone. Striking manifestations are broken symmetry, phase transitions, and collective excitations. Understanding how such collective behaviour emerges when assembling a system from individual particles has been a vision in atomic, nuclear, and solid-state physics for decades. Here, we observe the few-body precursor of a quantum phase transition from a normal to a superfluid phase. The transition is signalled by the softening of the mode associated with amplitude vibrations of the order parameter, commonly referred to as a Higgs mode. We achieve exquisite control over ultracold fermions confined to two-dimensional harmonic potentials and prepare closed-shell configurations of 2, 6 and 12 fermionic atoms in the ground state with high fidelity. Spectroscopy is then performed on our mesoscopic system while tuning the pair energy from zero to being larger than the shell spacing. Using full atom counting statistics, we find the lowest resonance to consist of coherently excited pairs only. The distinct non-monotonic interaction dependence of this many-body excitation as well as comparison with numerical calculations allows us to identify it as the precursor of the Higgs mode. Our atomic simulator opens new pathways to systematically unravel the emergence of collective phenomena and the thermodynamic limit particle by particle.
description: 14 pages, 10 figures
Identification of selective Lyn inhibitors from the chemical databases through integrated molecular modelling approaches
Creators: name: V.V. Shetve
name: S. Bhowmick
name: S.A. Alissa
name: Z.A. Alothman
name: S.M. Wabaidu
name: F.A. Asmary
name: H.M Alhajri
name: M.A. Islam
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Biophysics
subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: In the current study, the Asinex and ChEBI databases were virtually screened for the identification of potential Lyn protein inhibitors. Therefore, a multi-steps molecular docking study was carried out using the VSW utility tool embedded in Maestro user interface of the Schrödinger suite. On initial screening, molecules having a higher XP-docking score and binding free energy compared to Staurosporin were considered for further assessment. Based on in silico pharmacokinetic analysis and a common-feature pharmacophore mapping model developed from the Staurosporin, four molecules were proposed as promising Lyn inhibitors. The binding interactions of all proposed Lyn inhibitors revealed strong ligand efficiency in terms of energy score obtained in molecular modelling analyses. Furthermore, the dynamic behaviour of each molecule in association with the Lyn protein-bound state was assessed through an all-atoms molecular dynamics (MD) simulation study. MD simulation analyses were confirmed with notable intermolecular interactions and consistent stability for the Lyn protein-ligand complexes throughout the simulation. High negative binding free energy of identified four compounds calculated through MM-PBSA approach demonstrated a strong binding affinity towards the Lyn protein. Hence, the proposed compounds might be taken forward as potential next-generation Lyn kinase inhibitors for managing numerous Lyn associated diseases or health complications after experimental validation.
Carbon nanotubes as anisotropic target for dark matter
Creators: name: Cavoto, G
name: Betti, M G
name: Mariani, C
name: Pandolfi, F
name: Polosa, A D
name: Rago, I
name: Ruocco, A
Publisher: name: arXiv
Year: 2019
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Directional detection of Dark Matter (DM) particles could be accomplished by studying either ion or electron recoils in large arrays of parallel carbon nanotubes. For instance, a MeV mass DM particle could scatter off a lattice electron, resulting in the transfer of sufficient energy to eject the electron from the nanotube surface. The electron can eventually be detected whenever an external electric field is added to drive it from the open ends of the array. This detection scheme would offer an anisotropic response and could be used to select an orientation of the target with respect to the DM wind. A compact sensor, in which the cathode element is substituted with a dense array of parallel carbon nanotubes, could serve as the basic detection unit which - if adequately replicated - would allow to explore a significant region of light DM mass and cross-section. A similar detection scheme could be used to detect DM particles with mass in the GeV range scattering off the surface of a CNT and ejecting a carbon ion. We report about the Monte Carlo simulations of such a system and the R&D towards a detector prototype.
description: 4 pages 5 figure oprepared for proceedings of TAUP 2019
ICT Intervention in the Socio-Economic Development of Udupi Jasmine
Creators: name: D´Souza, D. J.
name: Harisha, G. J.
name: D´Souza, D. J.
name: Harisha, G. J.
Publisher: name: Unknown
Year: 2018
Subjects: subject: Community/Rural/Urban Development
subject: Research and Development/Tech Change/Emerging Technologies
subject: udupi jasmine
subject: ICT
subject: community-based enterprise
subject: socio-economic
subject: policy making
subject: agriculture

description: Jasmine growing community in coastal Karnataka of India is a successful viable community-based enterprise. For this community despite having other sources of income, jasmine cultivation has provided them with a sustained regular income. It safeguards them against poverty even if their other sources of income diminish. This study explores the areas in this community-based enterprise where information and communication technology (ICT) can be integrated. Thus, focus of the study was to visualize how this community-based enterprise works, understand the challenges faced and to provide possible ICT solution to overcome these challenges. ICT awareness among the growers and agents involved in the supply chain was also captured. Willingness of accepting ICT among the agents was analyzed using logistic regression and K-NN classifier machine learning models. Study showed a significant socio-economic impact of jasmine production on growers. To overcome the challenges faced, ICT solutions are proposed in place of current crude system.
Prediction of MRI Hardware Failures based on Image Features using Time Series Classification
Creators: name: Kuhnert, Nadine
name: Pflüger, Lea
name: Maier, Andreas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Image and Video Processing (eess.IV)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Already before systems malfunction one has to know if hardware components will fail in near future in order to counteract in time. Thus, unplanned downtime is ought to be avoided. In medical imaging, maximizing the system's uptime is crucial for patients' health and healthcare provider's daily business. We aim to predict failures of Head/Neck coils used in Magnetic Resonance Imaging (MRI) by training a statistical model on sequential data collected over time. As image features depend on the coil's condition, their deviations from the normal range already hint to future failure. Thus, we used image features and their variation over time to predict coil damage. After comparison of different time series classification methods we found Long Short Term Memorys (LSTMs) to achieve the highest F-score of 86.43% and to tell with 98.33% accuracy if hardware should be replaced.
Azimuthally-sensitive interferometry and the source lifetime at RHIC
Creators: name: Lisa, M. A.
Publisher: name: arXiv
Year: 2003
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Pion interferometry ("HBT") measurements relative to the reaction plane provide an estimate of the transverse source anisotropy at freeze-out, which probes the system dynamics and evolution duration. Measurements by the STAR Collaboration indicate that the source is extended increasingly out-of-plane with increasing impact parameter, suggesting a short evolution duration roughly consistent with estimates based on azimuthally-integrated HBT measurements.
description: 7 pages, 5 figures. Proceedings for the XXXIII International Symposium on Multiparticle Dynamics (ISMD03), Krakow, Poland, Sept 5-11, 2003, to appear in Acta Polonica (style file included)
A Model of Holographic Dark Energy
Creators: name: Li, Miao
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: A model for holographic dark energy is proposed, following the idea that the short distance cut-off is related to the infrared cut-off. We assume that the infrared cut-off relevant to the dark energy is the size of the event horizon. With the input $Ω_Λ=0.73$, we predict the equation of state of the dark energy at the present time be characterized by $w=-0.90$. The cosmic coincidence problem can be resolved by inflation in our scenario, provided we assume the minimal number of e-folds.
description: 8 pages, harvmac; v3: comments on the cosmic coincidence problem added
Time-domain speaker extraction network
Creators: name: Xu, Chenglin
name: Rao, Wei
name: Chng, Eng Siong
name: Li, Haizhou
Publisher: name: arXiv
Year: 2020
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Speaker extraction is to extract a target speaker's voice from multi-talker speech. It simulates humans' cocktail party effect or the selective listening ability. The prior work mostly performs speaker extraction in frequency domain, then reconstructs the signal with some phase approximation. The inaccuracy of phase estimation is inherent to the frequency domain processing, that affects the quality of signal reconstruction. In this paper, we propose a time-domain speaker extraction network (TseNet) that doesn't decompose the speech signal into magnitude and phase spectrums, therefore, doesn't require phase estimation. The TseNet consists of a stack of dilated depthwise separable convolutional networks, that capture the long-range dependency of the speech signal with a manageable number of parameters. It is also conditioned on a reference voice from the target speaker, that is characterized by speaker i-vector, to perform the selective listening to the target speaker. Experiments show that the proposed TseNet achieves 16.3% and 7.0% relative improvements over the baseline in terms of signal-to-distortion ratio (SDR) and perceptual evaluation of speech quality (PESQ) under open evaluation condition.
description: Published in ASRU 2019. arXiv admin note: text overlap with arXiv:2004.08326
In silico guided designing of 4-(1H-benzo[d]imidazol-2-yl)phenol-based mutual-prodrugs of NSAIDs: synthesis and biological evaluation
Creators: name: M. Arora
name: S. Choudhary
name: O. Silakari
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: The free COOH group of conventional NSAIDs is a structural feature for non-selective cyclooxygenase (COX) inhibition and the molecular cause of their gastrointestinal (GI) toxicity. In this context, an in house database of synthesizable ester prodrugs of some well-known NSAIDs was developed by combining their -COOH group with -OH of a newly identified antioxidant 4-(1H-benzo[d]imidazol-2-yl)phenol (BZ). The antioxidant potential of BZ was unveiled through in silico PASS prediction and in vitro/in vivo evaluation. The in house database of NSAIDs-BZ prodrugs was first subjected to screening with our previously reported pharmacophore models of hCES1 (AAHRR.430) and hCES2 (AHHR.21) for determining hydrolytic susceptibility. Biotransformation behaviour of screened prodrugs was then assessed by using QM/MM and sterimol parameterization, followed by ADMET calculations to predict the drug likeness. On the basis of in silico results, five prodrugs were duly synthesized and the best three were subject to the in vivo evaluation for their anti-inflammatory, analgesic, antioxidant activities, and ulcerogenic index. Among these prodrugs, BN2 and BN5 displayed better anti-inflammatory and analgesics potential in comparison to their parent drugs. All the prodrugs were found to be gastro sparing in the rat model and significantly improved the levels of oxidative stress biomarkers in both blood plasma as well as gastric homogenate.
Three-dimensional electron-hole superfluidity in a superlattice close to room temperature
Creators: name: Van der Donck, M.
name: Conti, S.
name: Perali, A.
name: Hamilton, A. R.
name: Partoens, B.
name: Peeters, F. M.
name: Neilson, D.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Although there is strong theoretical and experimental evidence for electron-hole superfluidity in separated sheets of electrons and holes at low $T$, extending superfluidity to high $T$ is limited by strong 2D fluctuations and Kosterlitz-Thouless effects. We show this limitation can be overcome using a superlattice of alternating electron- and hole-doped semiconductor monolayers. The superfluid transition in a 3D superlattice is not topological, and for strong electron-hole pair coupling, the transition temperature $T_c$ can be at room temperature. As a quantitative illustration, we show $T_c$ can reach $270$ K for a superfluid in a realistic superlattice of transition metal dichalcogenide monolayers.
description: 5 pages, 3 figures, supplementary material (3 pages) includes 1 table and 1 figure
Rotational effects on the oscillation frequencies of newly born proto-neutron stars
Creators: name: Ferrari, V.
name: Gualtieri, L.
name: Pons, J. A.
name: Stavridis, A.
Publisher: name: arXiv
Year: 2003
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: In this paper we study the effects of rotation on the frequencies of the quasi-normal modes of a proto-neutron star (PNS) born in a gravitational collapse during the first minute of life. Our analysis starts a few tenths of seconds after the PNS formation, when the stellar evolution can be described by a sequence of equilibrium configurations. We use the evolutionary models developed by Pons et al. (1999; 2001) that describe how a non rotating star cools down and contracts while neutrino diffusion and thermalization processes dominate the stellar dynamics. For assigned values of the evolution time, we set the star into slow rotation and integrate the equations of stellar perturbations in the Cowling approximation, both in the time domain and in the frequency domain, to find the quasi-normal mode frequencies. We study the secular instability of the g-modes, that are present in the oscillation spectrum due to the intense entropy and composition gradients that develop in the stellar interior, and we provide an estimate of the growth time of the unstable modes based on a post-Newtonian formula.
description: 13 pages, 1 table, 3 figures, Accepted for publication to MNRAS
Food-Biofuels Interactions: The Case of the U.S. Biofuels Market
Creators: name: Kapustová, Z.
name: Kapusta, J.
name: Bielik, P.
name: Kapustová, Z.
name: Kapusta, J.
name: Bielik, P.
Publisher: name: Unknown
Year: 2018
Subjects: subject: Agricultural and Food Policy
subject: Community/Rural/Urban Development
subject: Crop Production/Industries
subject: biodiesel
subject: biofuel
subject: co-integration
subject: ethanol
subject: price

description: Corn refers to the main feedstock for U.S. biofuels production and together with soybean oil, as typical biofuel food commodity that can be converted into biodiesel, accounts for over 90 percent of biofuels production in the United States. The paper focuses on the nexus of agri-food and energy markets in U.S. and investigates the interrelationships between the biofuel prices and prices of soybean oil, corn and wheat. Co-integration analysis and vector error correction model are carried out in order to investigate the relationship between the price series. The results show that biofuels and food price levels are co-integrated in the long run. These links show that food prices increment with a rise in biofuels prices. Additionally, not only food prices are determined by biofuels prices, but also vice versa.
title: A forward model for lidar aerosol attenuated backscatter: application in a megacity
Creators: name: Warren, Elliott
Publisher: name: University of Reading
Year: 2020

description: Aerosols are extremely important to monitor and predict given their impact on health, radiation and visibility. Chemical transport and numerical weather prediction (NWP) models are becoming increasingly sophisticated, providing detailed forecasts of aerosol dispersion and characteristics. Consequently, the need for model evaluation and data assimilation using appropriately detailed observations is high. Automatic lidar and ceilometers (ALC) observe attenuated backscatter which contains information on aerosols in the absence of hydrometeors. However, a forward operator is needed to directly relate ALC observations to forecast aerosol characteristics. In this thesis, a flexible and computationally cheap ALC aerosol forward operator (aerFO) is developed to estimate attenuated backscatter (βm) in clear-sky conditions. Vertical profiles of dry aerosol mass mixing ratio (m) and relative humidity are inputs with default, tuneable assumptions about aerosol constituents. Parameterisations initially estimate physical characteristics, then further estimate optical properties. An extinction enhancement factor (f(RH)) is used to represent the change in optical properties due to aerosol swelling. Large components of work involve evaluating the Met Office UK variable resolution regional NWP model (UKV) (1.5 km resolution) in London. Sensitivity of aerosol characteristics to estimates of aerosol optical properties is explored. Aerosol speciation, total number concentration and dry mean radius are critical and optical properties can vary greatly with wavelength. Evaluation of UKV output over London suggests insufficient mixing in the model can lead to large errors in near-surface βm and the NWP surface scheme is important in urban areas. Additionally, βm evaluation is highly dependent on ALC data quality. Given uncertainties in optimal ALC network design, spatial patterns in βm variability over Greater London were explored in the UKV and the Met Office research London Model (333 m resolution), then clustered to produce informative maps relevant to instrument placement. Spatial patterns were strongly related to orography, wind and relative emission locations.
QSAR modelling of larvicidal phytocompounds against Aedes aegypti using index of ideality of correlation
Creators: name: M. Javidfar
name: S. Ahmadi
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: Aedes aegypti is the primary vector of several infectious viruses that cause yellow, dengue, chikungunya, and Zika fevers. Recently, plant-derived products have been tested as safe and eco-friendly larvicides against Ae. aegypti. The present study aimed to improve QSAR models for 62 larvicidal phytocompounds against Ae. aegypti via the Monte Carlo method based on the index of the ideality of correlation (IIC) criterion. The representation of structures was done with SMILES. Three splits were prepared randomly and three QSAR models were constructed using IIC target function. The molecular descriptors were selected from SMILES descriptors and the hydrogen-filled molecular graphs. The predictability of three models was evaluated on the validation sets, the r2 of which was 0.9770, 0.8660, and 0.8565 for models 1 to 3, respectively. The statistical results of three randomized splits indicated that robust, simple, predictive, and reliable models were obtained for different sets. From the modelling results, important descriptors were identified to enhance and reduce the larvicidal activity of compounds. Based on the identified important descriptors, some new structures of larvicidal compounds were proposed. The larvicidal activity of novel molecules designed further was supported by docking studies. Using the simple QSAR model, one can predict pLC50 of new similarity larvicidal phytocompounds.
Delay times and reflection in chaotic cavities with absorption
Creators: name: Savin, D. V.
name: Sommers, H. -J.
Publisher: name: arXiv
Year: 2003
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: Absorption yields an additional exponential decay in open quantum systems which can be described by shifting the (scattering) energy E along the imaginary axis, E+i\hbar/2τ_{a}. Using the random matrix approach, we calculate analytically the distribution of proper delay times (eigenvalues of the time-delay matrix) in chaotic systems with broken time-reversal symmetry that is valid for an arbitrary number of generally nonequivalent channels and an arbitrary absorption rate 1/τ_{a}. The relation between the average delay time and the ``norm-leakage'' decay function is found. Fluctuations above the average at large values of delay times are strongly suppressed by absorption. The relation of the time-delay matrix to the reflection matrix S^{\dagger}S is established at arbitrary absorption that gives us the distribution of reflection eigenvalues. The particular case of single-channel scattering is explicitly considered in detail.
description: 5 pages, 3 figures; final version to appear in PRE (relation to reflection extended, new material with Fig.3 added, experiment cond-mat/0305090 discussed)