cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Quantum Computing: Vision and Challenges
Creators: name: Gill, Sukhpal Singh
name: Cetinkaya, Oktay
name: Marrone, Stefano
name: Combarro, Elias F.
name: Claudino, Daniel
name: Haunschild, David
name: Schlote, Leon
name: Wu, Huaming
name: Ottaviani, Carlo
name: Liu, Xiaoyuan
name: Machupalli, Sree Pragna
name: Kaur, Kamalpreet
name: Arora, Priyansh
name: Liu, Ji
name: Shamshad, Salman
name: Farouk, Ahmed
name: Song, Houbing
name: Uhlig, Steve
name: Ramamohanarao, Kotagiri
Publisher: name: Maryland Shared Open Access Repository
Year: 2024
Subjects: subject: Computer Science - Distributed, Parallel, and Cluster Computing
subject: Computer Science - Emerging Technologies
subject: Quantum Physics
subject: FOS: Physical sciences

description: The recent development of quantum computing, which makes use of entanglement, superposition, and other quantum fundamental concepts, has the ability to provide substantial processing advantages over traditional computing. These quantum features help solve many hard problems that cannot be solved with traditional computing methods. These problems are in areas like modeling quantum mechanics, logistics, making chemical-based advances, designing drugs, statistical science, sustainable energy, banking, reliable communication, and quantum chemical engineering. The last few years have witnessed remarkable advancements in quantum software and algorithm creation as well as quantum hardware research, which have significantly advanced the prospect of the realization of quantum computers. It would be helpful to have comprehensive literature research on this area to grasp the current status and find outstanding problems that require considerable attention from the research community working in the quantum computing industry. To better understand quantum computing, this paper examines the foundations and vision based on current research in this area. We discuss cutting-edge developments in quantum computer hardware advancement, and subsequent advances in quantum cryptography, quantum software, and high-scalability quantum computers. Many potential challenges and exciting new trends for quantum technology research and development are highlighted in this paper for a wider debate.
WS-BPEL business process abstraction and concretisation
Creators: name: Zhao, Xiaohui
name: Liu, Chengfei
name: Sadiq, Wasim
name: Kowalkiewicz, Marek
name: Yongchareon, Sira
Publisher: name: Swinburne
Year: 2024

description: Business process management is tightly coupled with serviceoriented architecture, as business processes orchestrate services for business collaboration at logical level. Given the complexity of business processes and the variety of users, it is a sought-after feature to show a business process with different views, so as to cater for the diverse interests, authority levels, etc., of users. This paper presents a framework named FlexView to support process abstraction and concretisation. A novel model is proposed to characterise the structural components of a business process and describe the relations between these components. Two algorithms are developed to formally illustrate the realisation of process abstraction and concretisation in compliance with the defined consistency rules. A prototype is also implemented with WS-BPEL to prove the applicability of the approach.
(C6F5)3B Catalyzed One-Pot Synthesis of Benzo[b]Cyclopenta[e][1,4]Oxazin-2(1H)-One and Thiazin-2(1H)-One Derivatives from Furan-2-yl(Phenyl)Methanol and 2-Aminophenol/Thiophenol
Creators: name: Sarnikar, Yuvaraj P.
name: Mane, Yogesh D.
name: Patil, Smita S.
name: Surwase, Santosh M.
name: Tigote, Radhakrishnan M.
name: Khade, Bhimrao C.
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Biophysics
Biochemistry
Medicine
Molecular Biology
Environmental Sciences not elsewhere classified

description: An efficient (C6F5)3B catalyzed method has been developed for the synthesis of benzo[b]cyclopenta[e][1,4]oxazin-2(1H)-one and thiazin-2(1H)-one derivatives from furan-2-yl(phenyl)methanol (1) and 2-aminophenol/thiophenol (2) under reflux in acetonitrile. This reaction proceeds through an aza-Piancatelli rearrangement/Michael reaction in one-pot. This strategy provides a facile and rapid access to benzo[b]cyclopenta[e][1,4]oxazin-2(1H)-one and thiazin-2(1H)-one derivatives (3a-l) in good to high yields under mild conditions. Several advantages, such as simple reaction procedure, low catalyst loading, broad substrate scope, easy product isolation, high functional group tolerance, and short reaction time make this strategy more attractive.
Identifying canonical and replicable multi-scale intrinsic connectivity networks in 100k+ resting-state fMRI datasets
Creators: name: Iraji, A.
name: Fu, Z.
name: Faghiri, A.
name: Duda, M.
name: Chen, J.
name: Rachakonda, S.
name: DeRamus, T.
name: Kochunov, P.
name: Adhikari, B. M.
name: Belger, A.
name: Ford, J. M.
name: Mathalon, D. H.
name: Pearlson, G. D.
name: Potkin, S. G.
name: Preda, A.
name: Turner, J. A.
name: Van Erp, T. G. M.
name: Bustillo, J. R.
name: Yang, K.
name: Ishizuka, K.
name: Faria, A.
name: Sawa, A.
name: Hutchison, K.
name: Osuch, E. A.
name: Theberge, J.
name: Abbott, C.
name: Mueller, B. A.
name: Zhi, D.
name: Zhuo, C.
name: Liu, S.
name: Xu, Y.
name: Salman, M.
name: Liu, J.
name: Du, Y.
name: Sui, J.
name: Adali, Tulay
name: Calhoun, V. D.
Publisher: name: Wiley
Year: 2023
Subjects: functional connectivity (FC)
functional templates
independent component analysis (ICA)
intrinsic connectivity networks (ICNs)

description: Despite the known benefits of data-driven approaches, the lack of approaches for identifying functional neuroimaging patterns that capture both individual variations and inter-subject correspondence limits the clinical utility of rsfMRI and its application to single-subject analyses. Here, using rsfMRI data from over 100k individuals across private and public datasets, we identify replicable multi-spatial-scale canonical intrinsic connectivity network (ICN) templates via the use of multi-model-order independent component analysis (ICA). We also study the feasibility of estimating subject-specific ICNs via spatially constrained ICA. The results show that the subject-level ICN estimations vary as a function of the ICN itself, the data length, and the spatial resolution. In general, large-scale ICNs require less data to achieve specific levels of (within- and between-subject) spatial similarity with their templates. Importantly, increasing data length can reduce an ICN's subject-level specificity, suggesting longer scans may not always be desirable. We also find a positive linear relationship between data length and spatial smoothness (possibly due to averaging over intrinsic dynamics), suggesting studies examining optimized data length should consider spatial smoothness. Finally, consistency in spatial similarity between ICNs estimated using the full data and subsets across different data lengths suggests lower within-subject spatial similarity in shorter data is not wholly defined by lower reliability in ICN estimates, but may be an indication of meaningful brain dynamics which average out as data length increases.
Highly Selective Benzo[a]Pyrene Detection Even under Competitive Conditions with Molecularly Imprinted Surface Plasmon Resonance Sensor
Creators: name: Çorman, M. Emin
name: Armutcu, Canan
name: Karasu, Tunca
name: Özgür, Erdoğan
name: Uzun, Lokman
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: In this study, a new approach for the detection of benzo[a]pyrene (BaP) in aqueous media is presented by combining molecularly imprinted polymers (MIPs) with surface plasmon resonance (SPR) sensors. Herein, BaP imprinted sensor was fabricated on a SPR chip in the presence of a pre-polymerization complex of BaP and N-methacryloyl-L-phenylalanine, 2-hydroxyethyl methacrylate (HEMA), and ethylene glycol dimethacrylate (EGDMA). The developed sensor was characterized by atomic force microscopy, ellipsometry, and contact angle measurements. Association kinetics analysis via Scatchard, Langmuir, Freundlich, Langmuir–Freundlich isotherms were applied to the data and Langmuir adsorption model was found as the most accurate model for the affinity sensor system. MIPs-based SPR sensor linearly responded to BaP in a concentration range of 20-400 ng mL−1 with an excellent LOD of 14.97 ng L−1. The SPR sensor was found to be highly selective toward BaP according to the selectivity study results in the presence of interfering agents such as benzo[b]floranthene (BbF), benzo[k]floranthene (BkF), indeno[1,2,3-cd]pyrene (IcdP), and 1-naphthol. The studies demonstrated that MIPs-based SPR sensor provides rapid and reliable detection and identification of polyaromatic hydrocarbons (PAHs) within a quite short time.
Energy and Environmental Policy Trends: Power in the Time of COVID-19
Creators: name: Shaffer, Blake
name: Leach, Andrew
name: Rivers, Nic
Publisher: name: The School of Public Policy Publications
Year: 2020

description: In response to COVID-19, governments across Canada and around the world have instituted various degrees of physical distancing restrictions. While these are essential to protecting public health and limit ultimate economic damage, they have led to a contraction of near-term economic activity.
description: The School of Public Policy Publications, Том 13 (2020)
title: Gust Load Alleviation Exploiting Structural Nonlinearity
Creators: name: Gai, G
Publisher: name: University of Liverpool Repository
Year: 2017

description: Gust interaction is a crucial design consideration for civil aircraft. A gust disturbance is defined as any air velocity component normal to the flight path. Gust interactions can rapidly change the aerodynamic forces acting on a wing and in turn the loads on the aircraft. Indeed, during this interaction, the structure of the aircraft may experience significant dynamic loading. It is therefore desirable to utilise gust load alleviation systems in aircraft design. This thesis investigates the influence of nonlinear structural behaviour in aeroelastic systems for gust load alleviation. In conjunction to the study of nonlinearities in structures, numerical methods for the fast prediction of stability and dynamic response for the nonlinear aeroelastic systems are required. To this end, this thesis investigates the nonlinear model order reduction framework based on eigenmode decomposition. The nonlinear model reduction approach based on eigenmode decomposition is formulated and extended to include expansion terms up to fifth order such that higher-order nonlinear behaviour of a physical system can be captured. The method is first applied to a two degree-of-freedom pitch-plunge aerofoil structural model in unsteady incompressible flow. Structural stiffness nonlinearity is introduced as a fifth-order polynomial, while the aerodynamics follow linear theory. It is demonstrated that the reduced-order model is capable of accurately capturing the nonlinear aeroelastic behaviour arising from gust excitation. Furthermore, an analysis of the computational cost associated with constructing such reduced-order model and its applicability to more complex aeroelastic problems is provided. The model reduction approach is then extended for a full-scale passenger aircraft exhibiting geometric structural nonlinearity. A structured approach to identify the dominant modes required to construct an accurate reduced-order model for such nonlinear aeroelastic system is presented. The effect of structural nonlinearities are studied through time domain gust response calculations and the reduced order model results are compared against the full-order reference solution. It is demonstrated that both the linear and nonlinear reduced-order models are capable of accurately predicting the dynamic gust response of aircraft structures while achieving significant reduction in system size.
title: Rotklee :
title: Richtlinien für die Durchführung der Prüfung auf Unterscheidbarkeit, Homogenität und Beständigkeit.
titleType: Subtitle
Creators: name: (:Unas)
Publisher: name: Unknown
Year: 2021

description: Zweck dieser Richtlinien („Prüfungsrichtlinien“) ist es, die in der Allgemeinen Einführung (Dokument TG/1/3) und deren verbundenen TGP-Dokumenten enthaltenen Grundsätze in detaillierte praktische Anleitung für die harmonisierte Prüfung der Unterscheidbarkeit, der Homogenität und der Beständigkeit (DUS) umzusetzen und insbesondere geeignete Merkmale für die DUS-Prüfung und die Erstellung harmonisierter Sortenbeschreibungen auszuweisen.
The Nationalization of Special Elections for the U.S. House of Representatives
Creators: name: H. Gibbs Knotts
name: Ragusa, Jordan M.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases

description: Scholars and political commentators have argued that special elections to the U.S. House of Representatives are national contests, serving as a referendum on the president's party and a predictor of future election outcomes (Sigelman 1981; Smith and Burnnell 2010). But the empirical record is mixed, with one leading study demonstrating that candidate and district characteristics alone explain special election outcomes (Gaddie, Bullock, and Buchanan 1999). We investigate this disagreement by comparing special election and open-seat results using new data for the period 1995–2014. We find that while candidate characteristics affect special election outcomes, presidential approval is predictive of special election outcomes as well. Furthermore, we find that the effect of presidential approval on special election outcomes has increased in magnitude from 1995 to 2014, with the 2002 midterm representing an important juncture in the nationalization of special elections. We conclude that special elections have developed into national contests since the 1970s and situate this development within broader electoral trends.
Rodenticidal Activity of Some Quinoline-Based Heterocycles Derived from Hydrazide–Hydrazone Derivative
Creators: name: Kaddah, Mohamed M.
name: Fahmi, Abdelgawad A.
name: Kamel, Mustafa M.
name: Rizk, Sameh A.
name: Ramadan, Sayed K.
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biochemistry
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Science Policy

description: It was well known that hydrazine–hydrazone derivatives have an important role in different synthetic and medicinal fields. Therefore, the hydrazide–hydrazone derivative 3 was treated with electrophilic reagents achieving some quinoline-based heterocyclic systems such as chromene and pyridine derivatives and screened for their rodenticidal activity. The potent compounds were subjected to density functional theory studies. Seven compounds were tested for hemorrhoidal activity. Compounds 5, 6, and 7 were more effective against rodents than the other synthesized compounds, which were controlled by the most potent active second-generation products, such as chlorophacinone, brodifacoum, and warfarin. This could be attributed to their existence in more tautomeric structures. As a result, they could be used as rodenticides.
Minimal common container of tree patterns
Creators: name: Wang, Junhu
name: Yu, Jeffrey Xu
name: Pang, Chaoyi
name: Liu, Chengfei
Publisher: name: Swinburne
Year: 2024

description: Tree patterns represent important fragments of XPath. In this paper, we show that some classes of tree patterns exhibit such a property that, given a finite number of tree patterns P1, ..., Pn, there exists another pattern P (tree pattern or DAG-pattern) such that P1, ..., Pn, are all contained in P, and for any tree pattern Q belonging to a given class C, P1, ..., Pn, are contained in Q implies P is contained in Q.
The Nationalization of Special Elections for the U.S. House of Representatives
Creators: name: H. Gibbs Knotts
name: Ragusa, Jordan M.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases

description: Scholars and political commentators have argued that special elections to the U.S. House of Representatives are national contests, serving as a referendum on the president's party and a predictor of future election outcomes (Sigelman 1981; Smith and Burnnell 2010). But the empirical record is mixed, with one leading study demonstrating that candidate and district characteristics alone explain special election outcomes (Gaddie, Bullock, and Buchanan 1999). We investigate this disagreement by comparing special election and open-seat results using new data for the period 1995–2014. We find that while candidate characteristics affect special election outcomes, presidential approval is predictive of special election outcomes as well. Furthermore, we find that the effect of presidential approval on special election outcomes has increased in magnitude from 1995 to 2014, with the 2002 midterm representing an important juncture in the nationalization of special elections. We conclude that special elections have developed into national contests since the 1970s and situate this development within broader electoral trends.
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families
Creators: name: Eren, Maksim E.
name: Barron, Ryan
name: Bhattarai, Manish
name: Wanna, Selma
name: Solovyev, Nicholas
name: Rasmussen, Kim
name: Alexandrov, Boian S.
name: Nicholas, Charles
Publisher: name: Maryland Shared Open Access Repository
Year: 2024
Subjects: Computer Science - Cryptography and Security

description: National security is threatened by malware, which remains one of the most dangerous and costly cyber threats. As of last year, researchers reported 1.3 billion known malware specimens, motivating the use of data-driven machine learning (ML) methods for analysis. However, shortcomings in existing ML approaches hinder their mass adoption. These challenges include detection of novel malware and the ability to perform malware classification in the face of class imbalance: a situation where malware families are not equally represented in the data. Our work addresses these shortcomings with MalwareDNA: an advanced dimensionality reduction and feature extraction framework. We demonstrate stable task performance under class imbalance for the following tasks: malware family classification and novel malware detection with a trade-off in increased abstention or reject-option rate.
An investigation on water productivity in agriculture with evaluating Iran position
Creators: name: Iqbal, Zahid
Publisher: name: figshare
Year: 2015
Subjects: subject: Environmental Science
subject: Health Care
subject: 99901 Agricultural Engineering
subject: FOS: Other engineering and technologies
subject: Education

description: Water has played the most significant role in development all the time and all over the world. On the other hand,
agriculture and natural resources section is considered as one the important economic functions due to its critical
role in supplying the needed food of a nation, providing food security, and realizing sustainable development.
Water is one of the most eminent scarce resources required for supplying agricultural products. Approximately
93 percent of renewable water resources (80 billion m3) are being used in irrigated farms; however the resultant
products (51 million tons) cannot meet the national food needs. Several studies have demonstrated that a large
amount of water is being wasted by different ways in agriculture section, so its efficiency ranges not more than 33
to 37 percent. Moreover, the index of water productivity in Iran agriculture section has been reported as 0.7 to
0.8 kg dry product per 1 cubic meter of consumed water which is far from international standards (1.5 - 2.5 kg dry
product per 1 cubic meter of consumed water). Increasing demand for water in industry and urban sections
together with environmental problems will lead to shortage of water for agriculture in future. One of the useful
corrective actions to avoid this problem can be realized through increasing productivity of water usage
(increasing quantity of product per each unit of consumed water).
Biotreatment of chlorpyrifos in a bench scale bioreactor using Psychrobacter alimentarius T14
Creators: name: Saira Khalid
name: Hashmi, Imran
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biochemistry
subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified

description: Bacteria tolerant to high pesticide concentration could be used for designing an efficient treatment technology. Bacterial strains T14 was isolated from pesticide-contaminated soil in mineral salt medium (MSM) and identified as Psychrobacter alimentarius T14 using 16S rRNA gene sequence analysis. Bench scale bioreactor was evaluated for biotreatment of high Chlorpyrifos (CP) concentration using P. alimentarius T14. Effect of various parameters on bioreactor performance was examined and optimum removal was observed at optical density (OD600 nm): 0.8; pH: 7.2; CP concentration: 300 mg L−1 and hydraulic retention time: 48 h. At optimum conditions, 70.3/79% of CP/chemical oxygen demand (COD) removal was achieved in batch bioreactors. In addition, P. alimentarius T14 achieved 95/91, 62.3/75, 69.8/64% CP/COD removal efficiency with addition of CS (co-substrates), CS1 (yeast extract + synthetic wastewater), CS2 (glucose + synthetic wastewater) and CS3 (yeast extract), respectively. Addition of CS1 to bioreactor could accelerate CP removal rate up to many cycles with considerable efficiency. However, accumulation of 3, 5, 6-trichloro-2-pyridinol affects reactor performance in cyclic mode. First-order rate constant k1 0.062 h−1 and t1/2 11.1 h demonstrates fast degradation. Change in concentration of total chlorine and nitrogen could be the result of complete mineralization. Photodegradation of CP in commercial product was more than its pure form. Commercial formulation accelerated photodegradation process; however no effect on biodegradation process was observed. After bio-photodegradation, negligible toxicity for seeds of Triticum aestivum was observed. Study suggests an efficient treatment of wastewater containing CP and its metabolites in batch bioreactors could be achieved using P. alimentarius.
Structure Elucidation, Hirshfeld Surface Analysis, Molecular Docking and Computational Studies of a Jahn-Teller Distorted Octahedral Cobalt (II) Complex with Saccharin Ligand
Creators: name: Mohammed, Hasan A.
name: Sert, Yusuf
name: Albayati, Mustafa R.
name: Dege, Necmi
name: Şen, Fatih
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Biophysics
Space Science
Physical Sciences not elsewhere classified
Cell Biology
Molecular Biology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Cancer
Computational Biology

description: A Jahn-Teller distorted octahedral cobalt(II) complex with saccharin and water ligands was synthesized and characterized using single-crystal X-ray diffraction, density functional theory calculation, surface analysis (MEP and Hirshfeld) and molecular docking studies. Co(II) center is six-coordinated in a distorted octahedral arrangement, with the two water O atoms located in the axial positions, and the two water O atoms and the saccharin N atoms located in the equatorial plane. Theoretical molecular modeling was carried out with Density Functional Theory (DFT) using UB3LYP with hybrid function LANL2DZ. To support intra-molecular and inter-molecular bondings in crystal structure, molecular electrostatic potential (MEP) and Hirshfeld surfaces are generated and visualized. The molecular docking analysis was investigated between cobalt complex ligand and the receptor of breast cancer mutant PDB: 3HB5-oxidoreductase.
MULTIANTENNA CHANNEL MAP ESTIMATION USING DEEP SPATIAL INTERPOLATION
Creators: name: Kim, Gyungmin
name: Jin, Rui
name: Funk, Wilson
name: Kim, Seung-Jun
name: Lim, Hyuk
Publisher: name: Maryland Shared Open Access Repository
Year: 2024

description: The radio maps of multiantenna channel state information (CSI) are constructed using deep learning. The desired CSI is predicted for arbitrary locations in a geographical area based on the measurements collected at sampling locations. Such maps can be used to significantly reduce the overhead associated with CSI acquisition. A novel deep architecture is proposed, consisting of an encoder/decoder pair for transforming high-dimensional CSI features to lower-dimensional embeddings, together with a deep embedding interpolator for exploiting the spatial dependency of the CSI. Two important problem classes are tackled in a unified fashion, namely, CSI interpolation and prediction. Practical scenarios involving missing information are also considered. The efficacy of the proposed methods is verified by numerical tests.
Building Instance Knowledge Network for word sense disambiguation
Creators: name: Hu, Shangfeng
name: Liu, Chengfei
name: Zhao, Xiaohui
name: Kowalkiewicz, Marek
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 461305
subject: Data structures and algorithms

description: In this paper, a new high precision focused WSD approach is proposed, which not only attempts to identify the proper sense for a word but also provides the probabilistic evaluation for the identification confidence at the same time. A novel Instance Knowledge Network (IKN) is built to generate and maintain semantic knowledge at the word, type synonym set and instance levels. Related algorithms based on graph matching are developed to train IKN with probabilistic knowledge and to use IKN for probabilistic word sense disambiguation. Based on the Senseval-3 all-words task, we run extensive experiments to show the performance enhancements in different precision ranges and the rationality of probabilistic based automatic confidence evaluation of disambiguation. We combine our WSD algorithm with five best WSD algorithms in senseval-3 all words tasks. The results show that the combined algorithms all outperform the corresponding algorithms.
The digitisation centre: Monash University library
Creators: name: Harrison, Andrew
Publisher: name: figshare
Year: 2015
Subjects: subject: Library and Information Studies
subject: FOS: Media and communications

description: This paper will describe the implementation of the Digitisation Centre within the Monash University Library. The Digitisation Centre purpose is to provide a centralised digitisation service creating digital copies of copyright protected works for educational purposes. The paper will discuss the operational and management issues involved in providing a centralized digitisation service in a university library environment.
title: YOUTH JUSTICE AND YOUTH PENALITY IN ENGLAND AND WALES: A THEORETICAL AND EMPIRICAL EXPLORATION
Creators: name: Briggs, DB
Publisher: name: University of Liverpool Repository
Year: 2017

description: This thesis is concerned with the nature of contemporary youth penality in England and Wales. Some international comparative analysis suggests that over the last 40 years or so there has been a convergence towards a number of interrelated global trends in youth justice law, policy and practice leading to increased punitiveness, intolerance, control and imprisonment of children and young people in conflict with the law across the West. Yet other comparative evidence suggests that the picture is more complicated and that youth penality significantly varies over time and is spatially differentiated at the local, national and international levels. For example in England and Wales youth imprisonment rates significantly vary between Youth Offending Team (YOT) areas and since 2008 there have been significant reductions in the numbers of first time entrants into the youth justice system and young prisoners. Within this context - and even when socio-economic factors and crime rates are controlled for - similar YOT areas still appear to produce quite different sentencing outcomes or differential justice. This thesis explores the spatial and temporal nature of youth justice policy and practice and the cultural, political, social and economic contexts and conditions that give rise to increased rates of youth custody – penal expansion – or decreased rates of youth custody – penal reduction – at a local and a national level. It is concerned with unpicking the proximate influences on, or causes of, differential justice and/or justice by geography in England and Wales. Semi-structured interviews with youth justice practitioners across three pairs of matched YOTs with higher and lower rates of penal custody in England and Wales, together with a further series of interviews with national policy “experts” were conducted. The thesis builds upon and extends the argument that, at a national level, the direction of youth penality is subject to the vagaries of social, political and economic influences. At a local level it is argued that youth penality and the use of custody is influenced by differences in: local organisational and practice cultures; practitioner values; perceptions of the nature of youth crime; discretionary practices; and individual leadership and management. Ultimately, it is argued that in order to understand youth penality analysis needs to move beyond the national and focus on the influences and effects of the international, national and local that shapes youth penality at all levels.
Geriatric Emergency Departments: Emerging Themes and Directions
Creators: name: Schumacher, John
Publisher: name: Springer
Year: 2024
Subjects: Care processes
Delirium
Efficacy
Falls
Geriatric emergency department
Guidelines

description: Purpose of the Review Globally, emergency departments are recognizing their rapidly growing number of older adult patients and some have responded with care models and associated processes broadly described under the umbrella of geriatric emergency departments (Geriatric EDs). This review seeks to identify emerging themes in the Geriatric ED literature from the period 2018–2023 to provide a synthesis of concepts and research to assist emergency medicine healthcare professionals and policymakers in improving the delivery of emergency medical care to older patients. Recent Findings Emerging themes in Geriatric EDs include “calls to action” in the field regarding 1) health system level integration; 2) developing care processes; 3) implementing minimum Geriatric ED standards; and, 4) setting future research agendas. The research is international in scope with contributions from Canada, Australia, United Kingdom, Belgium, and the United States among others. A focus on Geriatric EDs’ financial sustainability as well as the overall efficacy of the care model is apparent. Recent seminal resources in Geriatric EDs include the Geriatric Emergency Department Collaborative, the Geriatric Emergency Care Applied Research Network, and the Geriatric Emergency Department Accreditation program. Attention to workforce education and specific care process/protocols for screening/assessment, cognitive dysfunction and falls is growing. Overall findings support the effectiveness and potential of Geriatric EDs in enhancing emergency care for older adults. Summary A review providing an overview of current themes and future directions of Geriatric EDs through a thematic analysis of the current literature. Key Geriatric ED themes include four “calls for action”, assessment of the model’s financial sustainability, an examination of the model’s efficacy and quality, and an identification of key resources foundational to Geriatric EDs. Targeted Geriatric ED workforce education programs and attention to care processes are contributing to improving outcomes for older adult in the ED.
Federated repositories of X-ray diffraction images
Creators: name: Harrison, Andrew
name: Androulakis, Steve
name: Schmidberger, Jason
name: Bate, Mark
name: DeGori, Ross
name: Beitz, Anthony
name: Kong, Cyrus
name: Cameron, Bob
name: McGowen, Sheena
name: Porter, Corrine J.
name: Hunter, Jane
name: Jennnifer L. Martin
name: Bostjan Kobe
name: Renwick C. J. Dobson
name: Parker, Michael W.
name: Gray, Joan
name: Treloar, Andrew
name: Groenewegen, David
name: Dickson, Neil
name: Buckle, Ashley M.
name: Whisstock, James C.
Publisher: name: figshare
Year: 2015
Subjects: Biochemistry

description: There is a pressing need for the archiving and curation of raw X-ray diffraction data. This information is critical for validation, methods development and improvement of archived structures. However, the relatively large size of these data sets has presented challenges for storage in a single worldwide repository such as the Protein Data Bank archive. This problem can be avoided by using a federated approach, where each institution utilizes its institutional repository for storage, with a discovery service overlaid. Institutional repositories are relatively stable and adequately funded, ensuring persistence. Here, a simple repository solution is described, utilizing Fedora open-source database software and data-annotation and deposition tools that can be deployed at any site cheaply and easily. Data sets and associated metadata from federated repositories are given a unique and persistent handle, providing a simple mechanism for search and retrieval via web interfaces. In addition to ensuring that valuable data is not lost, the provision of raw data has several uses for the crystallographic community. Most importantly, structure determination can only be truly repeated or verified when the raw data are available. Moreover, the availability of raw data is extremely useful for the development of improved methods of image analysis and data processing. Androulakis, S. ...[et al.]. Federated repositories of X-ray diffraction images. Acta crystallographica. Section D, Biological crystallography. 2008 Jun;64(7): 810-814.
Q-Tube Assisted Green Synthesis of Bis(Azoles) and Bis(Azines) Linked to Arene Unit
Creators: name: Al-Zaydi, Khadijah M.
name: Saleh, Tamer S.
name: Alqahtani, Norah F.
name: Bagazi, Meaad S.
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Biochemistry
Physical Sciences not elsewhere classified
Medicine
Neuroscience
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified

description: We reported herein efficient green procedures for the synthesis of arene-linked bis(azoles) and bis(azines) using bis(enaminone) as a key intermediate. For this purpose, bis(enaminone) were reacted with different nucleophiles under a pressurized reaction “Q-tube system” to afford the target bis(azoles) and bis(azines). The structures of the target compounds were confirmed via considering their elemental analyses as well as their spectral data. The used protocol shows a beneficial effect on the reaction time and yields compared to conventional conditions.
Adopting Foundational Data Science Curriculum with Diverse Institutional Contexts
Creators: name: Janeja, Vandana
name: Sanchez, Maria
name: Khoo, Yi Xuan
name: Von Vacano, Claudia
name: Chen, Lujie Karen
Publisher: name: ACM
Year: 2024
Subjects: computational science education
curriculum adoption
data science
diversity in stem education

description: SIGCSE 2024: The 55th ACM Technical Symposium on Computer Science Education Portland OR USA March 20 - 23, 2024
description: The prevalence of data across all disciplines and the large workforce demand from industry has led to the rise in interest of data science courses. Educators are increasingly recognizing the value of building communities of practice and adapting and translating courses and programs that have been shown to be successful and sharing lessons learned in increasing diversity in data science education. We describe and analyze our experiences translating a lower-division data science curriculum from one university, University of California, Berkeley, to another setting with very different student populations and institutional context, University of Maryland, Baltimore County (UMBC). We present our findings from student interviews across two semesters of the course offering at UMBC specifically focusing on the challenges and positive experiences that the students had in the UMBC course. We highlight lessons learned to reflect on the existing large scale program at UC Berkeley, its adaptation and opportunities for increasing diversity in new settings. Our findings emphasize the importance of adapting courses and programs to existing curricula, student populations, cyberinfrastructure, and faculty and staff resources. Smaller class sizes open up the possibility of more individualized assignments, tailored to the majors, career interests, and social change motivations of diverse students. While students across institutional contexts may need varying degrees of support, we found that often students from diverse backgrounds, if engaged deeply, show significant enthusiasm for data science and its applications.
Quantifying Young's moduli of protein fibrils and particles with bimodal force spectroscopy
Creators: name: Gilbert, Jay
name: Charnley, Mirren
name: Cheng, Christopher
name: Reynolds, Nicholas
name: Jones, Owen G.
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 340305
subject: Physical properties of materials

description: Force spectroscopy is a means of obtaining mechanical information of individual nanometer-scale structures in composite materials, such as protein assemblies for use in consumer films or gels. As a recently developed force spectroscopy technique, bimodal force spectroscopy relates frequency shifts in cantilevers simultaneously excited at multiple frequencies to the elastic properties of the contacted material, yet its utility for quantitative characterization of biopolymer assemblies has been limited. In this study, a linear correlation between experimental frequency shift and Young's modulus of polymer films was used to calibrate bimodal force spectroscopy and quantify Young's modulus of two protein nanostructures: β-lactoglobulin fibrils and zein nanoparticles. Crosssectional Young's modulus of protein fibrils was determined to be 1.6 GPa while the modulus of zein nanoparticles was determined as 854 MPa. Parallel measurement of β-lactoglobulin fibril by a competing pulsed-force technique found a higher cross-sectional Young's modulus, highlighting the importance of comparative calibration against known standards in both pulsed and bimodal force spectroscopies. These findings demonstrate a successful procedure for measuring mechanical properties of individual protein assemblies with potential use in biological or packaging applications using bimodal force spectroscopy.
Band Selection via Band Density Prominence Clustering for Hyperspectral Image Classification
Creators: name: Chang, Chein-I.
name: Kuo, Yi-Mei
name: Ma, Kenneth Yeonkong
Publisher: name: MDPI
Year: 2024
Subjects: band density prominent peak clustering (BDPC)
band distance (BD)
band local density (BLD)
band prominence value (BPV)
band selection (BS)
hyperspectral image classification (HSIC)
k nearest neighbors (kNNs)
shared nearest neighbor (SNN)

description: Band clustering has been widely used for hyperspectral band selection (BS). However, selecting an appropriate band to represent a band cluster is a key issue. Density peak clustering (DPC) provides an effective means for this purpose, referred to as DPC-based BS (DPC-BS). It uses two indicators, cluster density and cluster distance, to rank all bands for BS. This paper reinterprets cluster density and cluster distance as band local density (BLD) and band distance (BD) and also introduces a new concept called band prominence value (BPV) as a third indicator. Combining BLD and BD with BPV derives new band prioritization criteria for BS, which can extend the currently used DPC-BS to a new DPC-BS method referred to as band density prominence clustering (BDPC). By taking advantage of the three key indicators of BDPC, i.e., cut-off band distance b꜀, k nearest neighboring-band local density, and BPV, two versions of BDPC can be derived called b꜀-BDPC and k-BDPC, both of which are quite different from existing DPC-based BS methods in three aspects. One is that the parameter b꜀ of b꜀-BDPC and the parameter k of k-BDPC can be automatically determined by the number of clusters and virtual dimensionality (VD), respectively. Another is that instead of using Euclidean distance, a spectral discrimination measure is used to calculate BD as well as inter-band correlation. The most important and significant aspect is a novel idea that combines BPV with BLD and BD to derive new band prioritization criteria for BS. Extensive experiments demonstrate that BDPC generally performs better than DPC-BS as well as many current state-of-the art BS methods.
Synthesis, Spectroscopic, Crystal Structure, DFT, Hirshfeld Surface and Molecular Docking Analysis of Hexahydroquinoline Derivative (HQ)
Creators: name: Fatima, Aysha
name: Khanum, Ghazala
name: Agrawal, Dau D.
name: Srivastava, Sanjay K.
name: Butcher, Ray J.
name: Muthu, S.
name: Ahmad, Musheer
name: Althubeiti, Khaled
name: Siddiqui, Nazia
name: Javed, Saleem
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences

description: The synthesis of a HQ derivative using a one-pot multicomponent synthesis is reported. Single crystal X-Ray diffraction at 293 K was used to characterize the material, which was then investigated theoretically using the DFT method. The 3 D Hirshfeld surface and 2 D fingerprint plots were created and linked with the XRD results to elucidate intermolecular interactions in the crystal lattice. In addition, FT-IR, UV-Vis, 1H, and 13 C were used to support the synthesis. Theoretical data calculated via DFT/6-311++G(d,p) level, matched to experimental single crystal X-ray diffraction bond lengths and bond angle parameters, NMR and FT-IR spectra, coincides with experimental data. The time dependent (TD-DFT) results correlates with the experimental electronic absorption measurements. Mulliken population analysis, Molecular Electrostatic Potential analysis (MEP), and Electron Localization Function (ELF) study were also performed. TD-DFT and HOMO/LUMO computations were used to examine the electron transport. Molecular docking using 7 protein receptors and drug Likeness were used to find the best ligand-protein interactions.
Frequent Use of Contingency Management and Opioid Treatment Programs that Provide Treatment for More than Only Opioid Use Disorder
Creators: name: Ware, Orrin D.
name: Novak, Matthew
name: Toegel, Forrest
Publisher: name: Sage Journals
Year: 2024

description: Contingency management is an effective behavioral intervention for treating substance use disorders that provides patients with incentives for objective verification of completed targeted recovery behaviors including abstinence from substances, attending treatment, and medication adherence. Accredited/licensed opioid treatment programs provide effective, medications for opioid use disorder. This study evaluated the prevalence of frequent contingency management use among a national sample of opioid treatment programs in the U.S. (N = 672). A binary logistic regression model examined factors associated with providing contingency management, including state-level fatal overdoses, number of pharmacotherapies, outpatient treatment, facility ownership, and residential treatment. Most evaluated facilities provided contingency management (n = 440; 65.5%). Facilities that prescribed more pharmacotherapies, were located in states with high drug overdose death rates, and for-profit (compared to nonprofit) providers were more likely to offer contingency management. Because contingency management effectively treats substance use disorders, contingency management should be offered more broadly across opioid treatment programs.
Moving boundary shallow water flow in a region with quadratic bathymetry
Creators: name: Sampson, Joe
name: Easton, Alan
name: Singh, Manmohan
Publisher: name: Swinburne
Year: 2024

description: Exact solutions of the nonlinear shallow water wave equations for forced flow involving linear bottom friction in a region with quadratic bathymetry have been found. These solutions also involve moving shorelines. The motion decays over time. In the solution of the three simultaneous nonlinear partial differential shallow water wave equations it is assumed that the velocity is a function of time only and along one axis. This assumption reduces the three simultaneous nonlinear partial differential equations to two simultaneous linear ordinary differential equations. The analytical model has been tested against a numerical solution with good agreement between the numerical and analytical solutions. The analytical model is useful for testing the accuracy of a moving boundary shallow water numerical model.
Not drowning, ingesting: dealing with the research data deluge at an institutional level
Creators: name: Harrison, Andrew
name: Searle, Samantha
Publisher: name: figshare
Year: 2015
Subjects: subject: Library and Information Studies
subject: FOS: Media and communications

description: Australian government funding and policy guidelines increasingly encourage researchers to deposit their research data in institutional or subject repositories, but there are significant technical and organisational practicalities involved in achieving this. In this paper, Monash University Library staff members with responsibility for repository development and research data management describe their work together to establish the Monash University ARROW Repository as a key part of the university’s overall program to improve research data management. Repository - related activities are discussed in the context of wider developments, both in technical infrastructure and in terms of professional development and outreach to researchers. Proceedings of ‘Connections content conversations’, the 15th VALA Biennial Conference and Exhibition (VALA 2010), Melbourne, Victoria, Australia, 9-11 February 2010
Reframing e-assessment: Building professional nursing and academic attributes in a first year nursing course
Creators: name: Lawrence, Jill
name: Loch, Birgit
name: Galligan, Linda
Publisher: name: Swinburne
Year: 2024

description: This paper documents the relationships between pedagogy and e-assessment in two nursing courses offered at the University of Southern Queensland, Australia. The courses are designed to build the academic, numeracy and technological attributes student nurses need if they are to succeed at university and in the nursing profession. The paper first outlines the management systems supporting the two courses and how they intersect with the e-learning and e-assessment components of course design. These pedagogical choices are then reviewed. While there are lessons to be learnt and improvements to be made, preliminary results suggest students and staff are extremely supportive of the courses. The e-assessment is very positively received with students reporting increased confidence and competency in numeracy, as well as IT, academic, research and communication skills.