cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
OOV Detection and Recovery using Hybrid Models with Different Fragments
Creators: name: Qin, Long
name: Sun, Ming
name: Rudnicky, Alexander
Publisher: name: Figshare
Year: 2018
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: In this paper, we address the out-of-vocabulary (OOV) detection and recovery problem by developing three different fragment-word hybrid systems. A fragment language model (LM) and a word LM were trained separately and then combined into a single hybrid LM. Using this hybrid model, the recognizer can recognize any OOVs as fragment sequences. Different types of fragments, such as phones, subwords, and graphones were tested and compared on the WSJ 5k and 20k evaluation sets. The experiment results show that the subword and graphone hybrid systems perform better than the phone hybrid system in both 5k and 20k tasks. Furthermore, given less training data, the subword hybrid system is more preferable than the graphone hybrid system.
"Secret" neutrino interactions help Dark matter
Creators: name: Gouvea, Andre De
name: Zhang, Yue
name: Manibrata Sen
Publisher: name: Zenodo
Year: 2020

description: Sterile neutrinos with masses around a few keV have been postulated to be viable dark matter candidates. This is, however, mostly in tension with various astrophysical observations, the most stringent being the X-ray bounds. In this poster, I would like to present a testable sterile neutrino dark matter production mechanism in the early universe. The idea is to introduce a light scalar particle that mediates self interactions among the Standard Model neutrinos. Such interactions enable the sterile neutrinos to be more efficiently produced in the early universe, thus alleviating the tensions. These new interactions are stronger than the weak interactions, and hence can be tested at future neutrino experiments like DUNE.
Atomic Shannon entropy in astrophysical nonthermal plasmas
Creators: name: Jung, Young-Dae
name: Myoung-Jae Lee
Publisher: name: Zenodo
Year: 2020

description: The nonthermal effects on the Shannon entropy for the atomic states are investigated in astrophysical Lorentzian plasmas. The Shannon entropies for the ground and excited states in astrophysical Lorentzian plasmas are also obtained as functions of the spectral index, effective screening lengths, and plasma parameters including the radial and angular parts. It is shown that the nonthermal characteristics of the Lorentzian plasma suppresses the entropy changes in the ground state as well as in the excited states. In addition, it is found that the entropy change in excited states is more effective than that in the ground state in Lorentzian astrophysical plasmas.
Additional file 1 of Integrating arts with STEM and leading with STEAM to increase science learning with equity for emerging bilingual learners in the United States
Creators: name: Hughes, Bradley S.
name: Corrigan, Michael W.
name: Grove, Douglas
name: Andersen, Sage B.
name: Wong, Joseph T.
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Science Policy

description: Additional file 1. Methodology and additional tables.
Trapezoidal fuzzy number methodology for prioritising the predictors of social media addiction
Creators: name: Pandey, Mamta
name: Litoriya, Ratnesh
name: Pandey, Prateek
name: Panigrahi, Prabin Kumar
name: Gupta, Brij B.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Mental Health

description: Numerous studies investigate factors contributing to social media addiction, but few explore their significance and interconnections from psychotherapists’ and researchers’ perspectives. This study used the DEMATEL methodology to examine social media addiction, identifying 50 predictors from literature, categorized into personality traits, comorbid symptoms, and psychosocial components. Data from 115 respondents showed personality traits as the most influential factor. DEMATEL analysis categorized predictors into cause-and-effect groups. Experts assessed direct relationships using Trapezoidal Fuzzy Numbers (TFN), which were then converted and analyzed. The study compared DEMATEL variants, finding Trapezoidal Fuzzy DEMATEL most effective for evaluating predictor interrelationships.
Tropaeolum majus L. and low dose gamma radiation suppress liver carcinoma development via EGFR-HER2 signaling pathway
Creators: name: Owis, Asmaa I.
name: Sherif, Noheir H.
name: Hassan, Asmaa A.
name: EL-Naggar, EL-Moataz Bellah
name: EL-Khashab, Iman H.
name: EL-Ghaly, EL-Sayed
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
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: Developmental Biology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Plant Biology
subject: 60506 Virology

description: Hepatocellular carcinoma (HCC) is one of the most fatal cancers around the world and remain asymptomatic in early stage. An alcoholic extract prepared from leaves of Tropaeolum majus L. (Tropaeolaceae) was assessed for its potential activity against diethylnitrosamine-induced liver carcinoma in vivo. Oral administration of the extract significantly decreased the inflammatory marker translation NF-kB and supressed HCC progression in combination with 0.5 Gy gamma radiation via EGF-HER-2 pathway. Histopathological and immunohistopathological features also showed the recovery of a hepatic architecture. Immunohistochemical study showed the T. majus and LDR enhancement effect on proapoptotic markers (caspase-3 and Bax) and inhibition of anti-apoptotic factor (BCl2). HPLC-DAD-MSn analysis of the extract revealed the annotation of twelve compounds. T. majus could mediate a defensive influence against diethylnitrosamine-induced hepatocarcinogenesis and serve as a respectable option in amelioration of the hepatocellular carcinoma development in combination with low dose of gamma radiation.
VeML: An End-to-End Machine Learning Lifecycle for Large-scale and High-dimensional Data
Creators: name: Le, Van-Duc
name: Bui, Cuong-Tien
name: Li, Wen-Syan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Databases (cs.DB)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: An end-to-end machine learning (ML) lifecycle consists of many iterative processes, from data preparation and ML model design to model training and then deploying the trained model for inference. When building an end-to-end lifecycle for an ML problem, many ML pipelines must be designed and executed that produce a huge number of lifecycle versions. Therefore, this paper introduces VeML, a Version management system dedicated to end-to-end ML Lifecycle. Our system tackles several crucial problems that other systems have not solved. First, we address the high cost of building an ML lifecycle, especially for large-scale and high-dimensional dataset. We solve this problem by proposing to transfer the lifecycle of similar datasets managed in our system to the new training data. We design an algorithm based on the core set to compute similarity for large-scale, high-dimensional data efficiently. Another critical issue is the model accuracy degradation by the difference between training data and testing data during the ML lifetime, which leads to lifecycle rebuild. Our system helps to detect this mismatch without getting labeled data from testing data and rebuild the ML lifecycle for a new data version. To demonstrate our contributions, we conduct experiments on real-world, large-scale datasets of driving images and spatiotemporal sensor data and show promising results.
description: The updated version of this paper, titled "Efficient ML Lifecycle Transferring for Large-scale and High-dimensional Data via Core Set-based Dataset Similarity," has been accepted for publication in IEEE Access
Generalized time-dependent generator coordinate method for small and large amplitude collective motion
Creators: name: Li, B.
name: Vretenar, D.
name: Nikšić, T.
name: Zhao, P. W.
name: Meng, J.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: An implementation of the generalized time-dependent generator coordinated method (TD-GCM) is developed, that can be applied to the dynamics of small- and large-amplitude collective motion of atomic nuclei. Both the generator states and weight functions of the GCM correlated wave function depend on time. The initial generator states are obtained as solutions of deformation-constrained self-consistent mean-field equations, and are evolved in time by the standard mean-field equations of nuclear density functional theory (TD-DFT). The TD-DFT trajectories are used as a generally non-orthogonal and overcomplete basis in which the TD-GCM wave function is expanded. The weights, expressed in terms of a collective wave function, obey a TD-GCM (integral) equation. In this explorative paper, the generalized TD-GCM is applied to the excitation energies and spreading width of giant resonances, and to the dynamics of induced fission. The necessity of including pairing correlations in the basis of TD-DFT trajectories is demonstrated in the latter example.
description: 30 pages,11 figures
On the location of the ice line in circumbinary discs
Creators: name: Shadmehri, Mohsen
name: Khajenabi, Fazeleh
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Position of the ice line in a circumbinary disc is determined using a simplified and illustrative model. Main sources of the heat in the energy balance of the disc, i.e. heating by the turbulence, irradiation by the components of the binary and the tidal heating are considered. Our goal is to clarify role of the tidal heating in the position of the ice line. When viscous heating and irradiation of the binary are considered, ice line lies interior to the inner radius of the disc in most of the binaries represented by our parameter survey. But tidal heating significantly extends position of the ice line to a larger radius, so that a smaller fraction of the circumbinaries' population may have ice lines interior to the inner radius of the disc.
description: Accepted for publication in MNRAS
Optimization of Neural Network Language Models for keyword search
Creators: name: Ankur  Gandhe
name: Metze, Florian
name: Waibel, Alexander
name: Lane, Ian
Publisher: name: Figshare
Year: 2018
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: Recent works have shown Neural Network based Language Models (NNLMs) to be an effective modeling technique for Automatic Speech Recognition. Prior works have shown that these models obtain lower perplexity and word error rate (WER) compared to both standard n-gram language models (LMs) and more advanced language models including maximum entropy and random forest LMs. While these results are compelling, prior works were limited to evaluating NNLMs on perplexity and word error rate. Our initial results showed that while NNLMs improved speech recognition accuracy, the improvement in keyword search was negligible. In this paper we propose alternate optimizations of NNLMs for the task of keyword search. We evaluate the performance of the proposed methods for keyword search on the Vietnamese dataset provided in phase one of the BABEL1 project and demonstrate that by penalizing low frequency words during NNLM training, keyword search metrics such as actual term weighted value (ATWV) can be improved by up to 9.3% compared to the standard training methods.
Additional file 1 of Adolescent overeating and binge eating behavior in relation to subsequent cardiometabolic risk outcomes: a prospective cohort study
Creators: name: Zhou, Joyce C.
name: Rifas-Shiman, Sheryl L.
name: Haines, Jess
name: Jones, Kathryn
name: Oken, Emily
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1. Table S1: Characteristics of included vs. excluded participants. Table S2: Multivariable regression models assessing the associations of overeating exposure with cardiometabolic outcomes in late adolescence, with adjustment for BMI z-score at different timepoints. Table S3: Multivariable regression models assessing the associations of overeating behavior in early adolescence, further categorized as binge eating behavior (overeating with loss of control† and overeating without LOC [reference category]),†† with cardiometabolic outcomes in late adolescence among adolescents in the Project Viva cohort. Table S4: Multivariable regression models assessing the associations of overeating behavior in early adolescence, with cardiometabolic outcomes in late adolescence among adolescents in the Project Viva cohort, stratified by sex at birth. Table S5: Multivariable regression models assessing the associations of overeating behavior† in early adolescence, with cardiometabolic outcomes in late adolescence among adolescents in the Project Viva cohort, stratified by body mass index category in early adolescence.
The invariant tori of knot type and the interlinked invariant tori in the Nosé-Hoover system
Creators: name: Wang, Lei
name: Yang, Xiao-Song
Publisher: name: arXiv
Year: 2015
Subjects: subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences
subject: 37Mxx (Primary), 65Pxx (Secondary)

description: We revisit the famous Nosé-Hoover system in this paper and show the existence of some averagely conservative regions which are filled with an infinite sequence of nested tori. Depending on initial conditions, some invariant tori are of trefoil knot type, while the others are of trivial knot type. Moreover, we present a variety of interlinked invariant tori whose initial conditions are chosen from different averagely conservative regions and give all the interlinking numbers of those interlinked tori, showing that this quadratic system possesses so rich dynamic properties.
description: 8 pages,8 figures
Boosting Big Brother: Attacking Search Engines with Encodings
Creators: name: Boucher, Nicholas
name: Pajola, Luca
name: Shumailov, Ilia
name: Anderson, Ross
name: Conti, Mauro
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cryptography and Security (cs.CR)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Search engines are vulnerable to attacks against indexing and searching via text encoding manipulation. By imperceptibly perturbing text using uncommon encoded representations, adversaries can control results across search engines for specific search queries. We demonstrate that this attack is successful against two major commercial search engines - Google and Bing - and one open source search engine - Elasticsearch. We further demonstrate that this attack is successful against LLM chat search including Bing's GPT-4 chatbot and Google's Bard chatbot. We also present a variant of the attack targeting text summarization and plagiarism detection models, two ML tasks closely tied to search. We provide a set of defenses against these techniques and warn that adversaries can leverage these attacks to launch disinformation campaigns against unsuspecting users, motivating the need for search engine maintainers to patch deployed systems.
description: To appear in the 26th Symposium on Research in Attacks, Intrusions and Defenses (RAID). Revisions: Adds table summarizing attacks
Role of minimum adhesive wear particle size in third-body layer properties
Creators: name: Pham-Ba, Son
name: Molinari, Jean-François
Publisher: name: arXiv
Year: 2023
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We employ a novel discrete element method (DEM) force formulation to simulate adhesive wear and assess the effects of material and loading parameters on the properties of the third-body layer (TBL) formed during sliding motion. The study emphasizes the role of a material's critical length scale d* in the rheology of the TBL. This critical length scale is already known for controlling the size of smallest wear particles. We observe the emergence of a several wear regimes involving wear particle creation and aggregation, with limited effect from d* on TBL properties. Instead, material strength and surface energy have a profound influence. This study opens up new avenues for exploration of larger systems, three-dimensional setups, and other loading conditions.
description: This version of the article has been accepted for publication, after peer review, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s11249-023-01772-x
A Comprehensive Study of the Radiative Decays of $J/ψ$ and $ψ(2S)$ to Pseudoscalar Meson Pairs, and Search for Glueballs
Creators: name: Dobbs, S.
name: Tomaradze, A.
name: Xiao, T.
name: Seth, Kamal K.
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Using 53 pb$^{-1}$ of $e^+e^-$ annihilation data taken at $\sqrt{s}=3.686$ GeV, a comprehensive study has been made of the radiative decays of samples of 5.1 million $J/ψ$ and 24.5 million $ψ(2S)$ into pairs of pseudoscalar mesons, $π^+π^-$, $π^0π^0$, $K^+K^-$, $K_S^0K_S^0$, and $ηη$. Product branching fractions for the radiative decays of $J/ψ$ and $ψ(2S)$ to scalar resonances $f_0(1370,1500,1710,2100, \text{and} 2200)$, and tensor resonances $f_2(1270,1525, \text{and} 2230)$ have been determined, and are discussed in relation to predicted glueballs. For $ψ(2S)$ radiative decays the search for glueballs has been extended to masses between 2.5 GeV and 3.3 GeV.
description: 21 pages, 14 figures, published in PRD
Discovery of the $D$-basis in binary tables based on hypergraph dualization
Creators: name: Adaricheva, Kira
name: Nation, J. B.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Databases (cs.DB)
subject: Discrete Mathematics (cs.DM)
subject: FOS: Computer and information sciences

description: Discovery of (strong) association rules, or implications, is an important task in data management, and it finds application in artificial intelligence, data mining and the semantic web. We introduce a novel approach for the discovery of a specific set of implications, called the $D$-basis, that provides a representation for a reduced binary table, based on the structure of its Galois lattice. At the core of the method are the $D$-relation defined in the lattice theory framework, and the hypergraph dualization algorithm that allows us to effectively produce the set of transversals for a given Sperner hypergraph. The latter algorithm, first developed by specialists from Rutgers Center for Operations Research, has already found numerous applications in solving optimization problems in data base theory, artificial intelligence and game theory. One application of the method is for analysis of gene expression data related to a particular phenotypic variable, and some initial testing is done for the data provided by the University of Hawaii Cancer Center.
description: 14 pages, one table and one figure
Martynia annua safety and efficacy: heavy metal profile, in silico and in vitro approaches on antibacterial and antidiabetic activities
Creators: name: Alrabie, Ali
name: Al-Rabie, Nabeel Abdullah
name: AL Saeedy, Mohammed
name: AL Adhreai, Arwa
name: Al-Qadsy, Inas
name: Farooqui, Mazahar
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Molecular Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified

description: Liquid Chromatography-Mass Spectrometry (LC-MS) analysis of methanol extract of Martynia annua seed revealed the presence of haploperozide and austricine. For safety, heavy metals content investigation of plant powder using the Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) technique showed that the toxic metals (Pb: 2.07 mg/kg; Cd: 0.07 mg/kg; and As: 0.18 mg/kg) concentrations were found to be below the permissible limit. The extract demonstrated significant antibacterial activity against E. coli (MIC value 125 g/mL). Furthermore, it was effective in inhibiting both α-glucosidase and α-amylase enzymes with a high percentage and IC50 values were 42.28 ± 0.39 µg/mL and 34.11 ± 0.31 µg/mL, respectively. These findings were supported by a molecular docking study, some of the phytochemicals showed higher docking score values than references. However, Martynia annua seeds are safe to consume because they contain low levels of toxic heavy metals and possess antibacterial and anti-diabetic properties.
Quantitative proteomic profiling of the extracellular matrix of pancreatic islets during the angiogenic switch and insulinoma progression
Creators: name: Naba, Alexandra
name: Clauser, Karl R
name: Mani, DR
name: Carr, Steven A
name: Hynes, Richard O
Publisher: name: University of Illinois at Chicago
Year: 2022
Subjects: Uncategorized

description: The angiogenic switch, the time at which a tumor becomes vascularized, is a critical step in tumor progression. Indeed, without blood supply, tumors will fail to grow beyond 1 mm3 and are unlikely to disseminate. The extracellular matrix (ECM), a major component of the tumor microenvironment, is known to undergo significant changes during angiogenesis and tumor progression. However the extent of these changes remains unknown. In this study, we used quantitative proteomics to profile the composition of the ECM of pancreatic islets in a mouse model of insulinoma characterized by a precisely timed angiogenic switch. Out of the 120 ECM proteins quantified, 35 were detected in significantly different abundance as pancreatic islets progressed from being hyperplastic to angiogenic to insulinomas. Among these, the core ECM proteins, EFEMP1, fibrillin 1, and periostin were found in higher abundance, and decorin, Dmbt1, hemicentin, and Vwa5 in lower abundance. The angiogenic switch being a common feature of solid tumors, we propose that some of the proteins identified represent potential novel anti-angiogenic targets. In addition, we report the characterization of the ECM composition of normal pancreatic islets and propose that this could be of interest for the design of tissue-engineering strategies for treatment of diabetes.
Qualitative phytochemical analysis and in vitro investigation of the immunomodulatory properties of honeys produced in Kazakhstan
Creators: name: McLoone, Pauline
name: Tabys, Dina
name: Yunussova, Sofiya
name: Zhumbayeva, Aizhan
name: Verrall, Susan
name: Sungurtas, Julie
name: Austin, Ceri
name: Allwood, J. William
name: McDougall, Gordon J
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy

description: Honey is known to have antimicrobial, immunomodulatory and wound healing properties. The biological properties of honey have been attributed to phytochemicals derived from their source plants and research has focused on identifying the bioactive phytochemicals with therapeutic potential. In this study, we determined the ability of 5 honeys from Kazakhstan and manuka honey to stimulate TNF-α and TGF-β production by human keratinocytes. TNF-α and TGF-β levels increased over time in honey treated and untreated keratinocytes, whereas cells treated with sugar solutions that matched those of the honeys had reduced levels of both cytokines. This suggests that the non-sugar phytochemical components of the honeys may have prevented this decrease. Analysis by LC-MS confirmed that the honeys contained a diverse range of phytochemicals. Some phytochemicals e.g. pinobanksin and vanillin were present at different levels across the honey types, whereas other components, e.g. dicarboxylic acids and their glycosides, were abundant in all honeys.
Impact of land reform policy on tobacco export performance: case of Zimbabwe
Creators: name: Chikowore, Average
name: Chawarika, Admire
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Genetics
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Science Policy
subject: Plant Biology

description: This study seeks to analyze the impact of land reform on the export performance of tobacco, since the cash crop is a major foreign currency earner for Zimbabwe. A gravity model was adopted for the study using secondary panel data from 1992 to 2018. The findings show that 17.2% of the explanatory variables in the model are responsible for changes in tobacco export performance. Land reform, agricultural financial assistance, and distance had significant negative effects on tobacco exports. Land reform must be accompanied by other reforms that complement its success, such as market structure, financing arrangements, and property rights. This research provides critical insights into the effects of land reform on Zimbabwe’s tobacco export performance, highlighting the complexities and challenges associated with policy changes in agricultural sectors. The study reveals that while land reform is intended to empower local farmers and redistribute resources, it can also negatively affect export performance without complementary reforms. The findings underscore the importance of a holistic approach to land reform, where improvements in market structures, financing arrangements and property rights are integrated to enhance the success and sustainability of reforms.
Cross section adjustment for 2p2h interactions in NOvA
Creators: name: Martinez-Casales, Maria
name: Casales, Maria
Publisher: name: Zenodo
Year: 2020

description: NOvA is a long-baseline neutrino experiment at Fermilab that studies neutrino oscillations via electron neutrino appearance and muon neutrino disappearance. The oscillation measurements compare the Far Detector data to an oscillated prediction which combines Near Detector (ND) data and the current understanding of neutrino interactions through simulation using GENIE. By tuning the cross section model to better represent neutrino scattering data from NOvA's ND and other experiments, we can extract oscillation parameters with more accurate cross section uncertainties. The tuning is performed in the ND, before oscillations occur. We present the method to determine the 2p2h interaction cross section in NOvA, based on adjustments to the Valencia meson exchange current model, and the construction of the associated uncertainties; these are used in NOvA's 2020 oscillation analysis, and represent an improvement with respect to the 2018 and 2019 analyses as the number of adjusted parameters was significantly reduced.
River Basin Planning: A Simulation Approach
Creators: name: Halter, A. N.
name: Miller, S. F.
name: Halter, A. N.
name: Miller, S. F.
Publisher: name: Unknown
Year: 1966
Subjects: Research Methods/ Statistical Methods
Resource /Energy Economics and Policy

description: Excerpts from the report: The general objective of this study is to test the applicability of simulation in evaluating water resource development projects and to test alternative resource management policies for an actual river basin system. A secondary objective is to test the applicability of DYNAMO simulation language for river basin modeling. The authors will demonstrate that simulation can be a useful tool to decision makers in tracing the consequence of management decisions before their implementation. Thus, part of the uncertainty due to finite comprehension of the operation of an entire system can be removed. The authors will also show that DYNAMO is a well suited simulation language for river basin problems. The remainder of this report is divided into three sections. Part II reviews existing techniques in river basin planning and introduces the simulation approach used in this study. Part III describes the Calapooia River basin system and the project design problem. Part IV summarizes the results obtained from the computer runs of the model.
description: Agricultural Experiment Station, Oregon State University, Corvallis in cooperation with the United States Department of Agriculture
Improved Sterile Neutrino Constraints from the STEREO Experiment with 179 Days of Reactor-On Data
Creators: name: Schoppmann, Stefan
Publisher: name: Zenodo
Year: 2020

description: The STEREO experiment is a very short baseline reactor antineutrino experiment. It is designed to test the hypothesis of light sterile neutrinos being the cause of a deficit of the observed antineutrino interaction rate at short baselines with respect to the predicted rate, known as the Reactor Antineutrino Anomaly. The STEREO experiment measures the antineutrino energy spectrum in six identical detector cells covering baselines between 9 and 11 m from the compact core of the ILL research reactor. In this poster, results from 179 days of reactor turned on and 235 days of reactor turned off are reported. Using a direct comparison between antineutrino spectra of all cells, largely independent of any flux prediction, we find the data compatible with the null oscillation hypothesis. The best-fit point of the Reactor Antineutrino Anomaly is rejected at more than 99.9% C.L.
Additional file 1 of Decolonising qualitative research with respectful, reciprocal, and responsible research practice: a narrative review of the application of Yarning method in qualitative Aboriginal and Torres Strait Islander health research
Creators: name: Kennedy, Michelle
name: Maddox, Raglan
name: Booth, Kade
name: Maidment, Sian
name: Chamberlain, Catherine
name: Bessarab, Dawn
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Science Policy
subject: 69999 Biological Sciences not elsewhere classified

description: Additional file 1. Level of reporting table and scoring system.
Saddle Points and Accelerated Perceptron Algorithms
Creators: name: Adams Wei  Yu
name: Kilinc-Karzan, Fatma
name: Carbonell, Jaime G.
Publisher: name: Figshare
Year: 2018
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: In this paper, we consider the problem of finding a linear (binary) classifier or providing a near-infeasibility certificate if there is none. We bring a new perspective to addressing these two problems simultaneously in a single efficient process, by investigating a related Bilinear Saddle Point Problem (BSPP). More specifically, we show that a BSPP-based approach provides either a linear classifier or an ϵ-infeasibility certificate. We show that the accelerated primal-dual algorithm, Mirror Prox, can be used for this purpose and achieves the best known convergence rate of O(√logn/ρ(A)) (O(√logn/ϵ)), which is almost independent of the problem size, n. Our framework also solves kernelized and conic versions of the problem, with the same rate of convergence. We support our theoretical findings with an empirical study on synthetic and real data, highlighting the efficiency and numerical stability of our algorithms, especially on large-scale instances.
Study on Neutrino Interaction Using T2K Beam at KamLAND
Creators: name: Seisho Abe
Publisher: name: Zenodo
Year: 2020

description: T2K experiment which is a long-baseline neutrino oscillation experiment in Japan measures CP-phase of neutrino. Super-Kamiokande which is a 50-kton water Cerenkov detector in Kamioka-mine are used as a far detector. KamLAND which is a 1-kton liquid scintillator detector is also in the Kamioka-mine. Due to the close distance between Super-Kamiokande and KamLAND, T2K neutrino events are detected also at KamLAND. KamLAND can perform unique studies making use of its features especially for low energy neutrino interactions and neutron productions and so on. I performed predictions of T2K events at KamLAND using simulations. The results indicate KamLAND detected ~ 100 T2K events so far. Currently the statistics are limited, but this will increase by 4 times by the end of 2026. I present some basic strategies and results of the predictiosn with some status of cooperations between T2K and KamLAND collaborations.
Diffuse Supernova Neutrino Background Detection at JUNO
Creators: name: Cheng, Jie
Publisher: name: Zenodo
Year: 2020

description: As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, JUNO has great potential to detect the supernova neutrino background (DSNB). Depending on intensive supernova neutrino simulation from the numerical supernova simulations, about 4-8 events per year are expected to be detected. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrino with $^{12}\textrm{C}$, which surpasses the DSNB by more than one order of magnitude. The precise prediction based on six data-driven nuclear models gives an uncertainty of 20%, but the in-situ measurement based on the decay information of the residual nuclei could reduce the uncertainty to 10%. The backgrounds can be effectively suppressed by pulse shape discrimination. The poster presents a sophisticated DSNB sensitivity study at JUNO.
Recetario de cocina alto en proteína para mejorar la salud muscular durante el tratamiento del cáncer
Creators: Wilson, Hillary A.
Armet, Anissa M.
Prado, Carla M.
Publisher: name: University of Alberta Library
Year: 2022

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La nutrición es una herramienta poderosa que puede utilizarse para ayudar a las personas, con o sin cáncer, a vivir más tiempo y mejorar su salud. Este recetario se centra en la salud muscular, la cual está relacionada con la cantidad y el tipo de proteínas incluidas en nuestra dieta. Las personas con cáncer necesitan más proteína que las personas sanas y las fuentes de proteína animal, entre ellas, la carne de res, cerdo, pollo, pescado, huevos, leche y queso son especialmente importantes para aumentar la masa muscular. Nuestro Recetario de cocina alto en proteína para mejorar la salud muscular durante el tratamiento del cáncer contiene 66 recetas altas en proteína para desayuno, almuerzo, cena y refrigerios que ayudará a estos pacientes a aumentar su consumo de proteína y mejorar su salud muscular.
A Description of the Agricultural Economy of the Southeast Wisconsin Rivers Basin
Creators: name: Gordon, John R.
name: Gordon, John R.
Publisher: name: Unknown
Year: 1969
Subjects: Crop Production/Industries
Labor and Human Capital
Land Economics/Use
Livestock Production/Industries
Resource /Energy Economics and Policy

description: Excerpts from the report: The Southeast Wisconsin Rivers Basin lies in eastern and southern Wisconsin, north central Illinois, and northern Michigan. There are portions of two major continental drainage basins in the study area, the Upper Mississippi and the Great Lakes-St. Lawrence. The study area has a total drainage area of about 15,530,606 acres or 24,266 square miles including the following eight subbasin drainage areas: Menominee River, Peshtigo River, Oconto River, Wolf- Fox River, Milwaukee River, Fox River (Wisconsin), Rock River, and Other Drainage Areas less than 800 square miles. Major cities are Green Bay, Madison, Milwaukee, West Allis, Racine, and Kenosha in Wisconsin and Rockford, Illinois. The object of this report is to describe the present agricultural economy and provide useful background information on the agricultural activity in the Southeast Wisconsin Rivers Basin. Materials are presented by economic subareas within the overall basin area. Comparisons of the Basin to the State of Wisconsin plus three Michigan counties and two Illinois counties and to the United States are made where relevant. Discussion herein concerns a brief description of the Basin, geographic concentration of production, and relative importance of the Basin in producing agricultural products. Analysis of trends and possible future agricultural activity by economic subarea will be limited to apparent directional changes.
description: The United States Department of Agriculture is conducting a Type IV River Basin study in cooperation with Wisconsin state and local agencies on the Southeast Wisconsin Rivers. The USDA is carrying out its assignment in accordance with a Memorandum of Understanding dated April 15, 1968, between the Soil Conservation Service, Forest Service and Economic Research Service.
Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm
Creators: name: Bu, Fanchen
name: Kang, Shinhwan
name: Shin, Kijung
Publisher: name: arXiv
Year: 2023
Subjects: subject: Social and Information Networks (cs.SI)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Computer and information sciences

description: What are the relations between the edge weights and the topology in real-world graphs? Given only the topology of a graph, how can we assign realistic weights to its edges based on the relations? Several trials have been done for edge-weight prediction where some unknown edge weights are predicted with most edge weights known. There are also existing works on generating both topology and edge weights of weighted graphs. Differently, we are interested in generating edge weights that are realistic in a macroscopic scope, merely from the topology, which is unexplored and challenging. To this end, we explore and exploit the patterns involving edge weights and topology in real-world graphs. Specifically, we divide each graph into layers where each layer consists of the edges with weights at least a threshold. We observe consistent and surprising patterns appearing in multiple layers: the similarity between being adjacent and having high weights, and the nearly-linear growth of the fraction of edges having high weights with the number of common neighbors. We also observe a power-law pattern that connects the layers. Based on the observations, we propose PEAR, an algorithm assigning realistic edge weights to a given topology. The algorithm relies on only two parameters, preserves all the observed patterns, and produces more realistic weights than the baseline methods with more parameters.
description: ECML PKDD 2023 Journal Track (Data Mining and Knowledge Discovery journal)
SmartNotes: Application of Crowdsourcing to the Detection of Web Threats
Creators: name: Mehrbod  Sharifi
name: Fink, Eugene
name: Carbonell, Jaime G.
Publisher: name: Figshare
Year: 2018
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: We describe a crowdsourcing system, called SmartNotes, which detects security threats related to web browsing, such as Internet scams, deceptive sales of substandard products, and websites with intentionally misleading information. It combines automatically collected data about websites with user votes and comments, and uses them to identify potential threats. We have implemented it as a browser extension, which is available for free public use.
The Q Continuum Simulation: Harnessing the Power of GPU Accelerated Supercomputers
Creators: name: Heitmann, Katrin
name: Frontiere, Nicholas
name: Sewell, Chris
name: Habib, Salman
name: Pope, Adrian
name: Finkel, Hal
name: Rizzi, Silvio
name: Insley, Joe
name: Bhattacharya, Suman
Publisher: name: arXiv
Year: 2014
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Modeling large-scale sky survey observations is a key driver for the continuing development of high resolution, large-volume, cosmological simulations. We report the first results from the 'Q Continuum' cosmological N-body simulation run carried out on the GPU-accelerated supercomputer Titan. The simulation encompasses a volume of (1300 Mpc)^3 and evolves more than half a trillion particles, leading to a particle mass resolution of ~1.5 X 10^8 M_sun. At this mass resolution, the Q Continuum run is currently the largest cosmology simulation available. It enables the construction of detailed synthetic sky catalogs, encompassing different modeling methodologies, including semi-analytic modeling and sub-halo abundance matching in a large, cosmological volume. Here we describe the simulation and outputs in detail and present first results for a range of cosmological statistics, such as mass power spectra, halo mass functions, and halo mass-concentration relations for different epochs. We also provide details on challenges connected to running a simulation on almost 90% of Titan, one of the fastest supercomputers in the world, including our usage of Titan's GPU accelerators.
description: 11 pages, 12 figures
Effect of Mirror Therapy on Complex Regional Pain Syndrome Post Wrist Burn in Children with Type I Diabetes: A Randomized controlled trial
Creators: name: Nashat Halim, Mina
Publisher: name: figshare
Year: 2023
Subjects: Physiotherapy

description: Effect of Mirror Therapy on Complex Regional Pain Syndrome Post Wrist Burn in Children with Type I Diabetes: A Randomized controlled trial
Large electropositive cations as surfactants for the growth of polar epitaxial films
Creators: name: Cheung, Alfred K. C.
name: Elfimov, Ilya
name: Berciu, Mona
name: Sawatzky, George A.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Using density functional theory (DFT) we demonstrate that the adsorption of large cations such as potassium or cesium facilitates the epitaxial growth of polar LaAlO$_3$ (LAO) on SrTiO$_3$ (STO). The low ionization potential of K favors efficient electron transfer to the STO conduction band and results in a 2D electron gas which exactly compensates for the diverging potential with increasing layer thickness. For large cations like K or Cs, DFT total energy considerations show that they remain adsorbed on the LAO surface and do not enter substitutionally into LAO. These results suggest a novel scheme for growing clean LAO/STO interface systems, and polar systems in general, by performing the growth process in the presence of large, low ionization potential alkali metal ions.
Neutron beam test with 3D-projection scintillator tracker prototypes for long-baseline neutrino oscillation experiments
Creators: name: Etam Noah Messomo
name: Mauger, Christopher
name: Jung, Chang Kee
name: Yang, Guang
Publisher: name: Zenodo
Year: 2020

description: The long-baseline neutrino oscillation experiments rely on models of neutrino interactions on nuclei. These models constitute an important source of systematic uncertainty, driven in part because detectors to date have been blind to the neutrons produced in neutrino interactions. We are proposing a 3D-projection scintillator tracker as a near detector component in the next generation long-baseline neutrino experiments such as T2K upgrade and DUNE. Such a detector consists of a large number of 1 cm x 1 cm x 1 cm scintillator cubes with three orthogonal optical fibers crossing through each cube. Benefitted by the good timing resolution and fine granularity, this detector will be capable of measuring neutrons. Two prototypes have been exposed to the neutron beamline in Los Alamos National Lab (LANL). This beam test is a critical step in demonstrating the neutron detection potential of this technology.
title: Godless Greece: atheism in Greek society
Creators: name: Ford, J
Publisher: name: University of Liverpool Repository
Year: 2017

description: Was atheism in the ancient world really ‘scarcely imaginable’? This thesis confronts the notion that religion was embedded in the environment and mentality of the ancient Greeks to the extent that atheism became cognitively impossible. Instead this thesis proposes that if atheism, rather than atheists, is made the focus then it is possible to examine atheism in the ancient world through a set of different thematic lenses. Atheism in ancient Greece was a highly contextual, varied, and flourishing set of phenomena. Understanding the form and evolution of atheistic ideas and atheism in Greek society is invaluable in helping us more fully understand Greek religion, not least because it was in response to and through opposition to atheism that Greek religious beliefs evolved and Greeks developed their own sense of collective and individual religious identity.
Techniques to cope with missing data in host-pathogen protein interaction prediction.
Creators: name: Kshirsagar, Meghana
name: Carbonell, Jaime G.
name: Klein-Seetharaman, Judith
Publisher: name: Figshare
Year: 2018
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: MOTIVATION: Approaches that use supervised machine learning techniques for protein-protein interaction (PPI) prediction typically use features obtained by integrating several sources of data. Often certain attributes of the data are not available, resulting in missing values. In particular, our host-pathogen PPI datasets have a large fraction, in the range of 58-85% of missing values, which makes it challenging to apply machine learning algorithms.
RESULTS: We show that specialized techniques for missing value imputation can improve the performance of the models significantly. We use cross species information in combination with machine learning techniques like Group lasso with ℓ(1)/ℓ(2) regularization. We demonstrate the benefits of our approach on two PPI prediction problems. In our first example of Salmonella-human PPI prediction, we are able to obtain high prediction accuracies with 77.6% precision and 84% recall. Comparison with various other techniques shows an improvement of 9 in F1 score over the next best technique. We also apply our method to Yersinia-human PPI prediction successfully, demonstrating the generality of our approach.
AVAILABILITY: Predicted interactions, datasets, features are available at: http://www.cs.cmu.edu/~mkshirsa/eccb2012_paper46.html.
CONTACT: judithks@cs.cmu.edu
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.