cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Switching from usual brand cigarettes to a tobacco-heating cigarette or snus: Part 3. Biomarkers of biological effect
Creators: name: Ogden, Michael W.
name: Marano, Kristin M.
name: Bobbette A. Jones
name: Morgan, Walter T.
name: Stiles, Mitchell F.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biochemistry
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: A randomized, multi-center study of adult cigarette smokers switched to tobacco-heating cigarettes, snus or ultra-low machine yield tobacco-burning cigarettes (50/group) for 24 weeks was conducted. Evaluation of biomarkers of biological effect (e.g. inflammation, lipids, hypercoaguable state) indicated that the majority of consistent and statistically significant improvements over time within each group were observed in markers of inflammation. Consistent and statistically significant differences in pairwise comparisons between product groups were not observed. These findings are relevant to the understanding of biomarkers of biological effect related to cigarette smoking as well as the risk continuum across various tobacco products. Trial registration:ClinicalTrials.gov identifier: NCT02061917.
Switching from usual brand cigarettes to a tobacco-heating cigarette or snus: Part 1. Study design and methodology
Creators: name: Ogden, Michael W.
name: Marano, Kristin M.
name: Bobbette A. Jones
name: Stiles, Mitchell F.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: A randomized, multi-center study was conducted to assess potential improvement in health status measures, as well as changes in biomarkers of tobacco exposure and biomarkers of biological effect, in current adult cigarette smokers switched to tobacco-heating cigarettes, snus or ultra-low machine yield tobacco-burning cigarettes (50/group) evaluated over 24 weeks. Study design, conduct and methodology are presented here along with subjects’ disposition, characteristics, compliance and safety results. This design and methodology, evaluating generally healthy adult smokers over a relatively short duration, proved feasible. Findings from this randomized study provide generalized knowledge of the risk continuum among various tobacco products. Trial registration:ClinicalTrials.gov identifier: NCT02061917.
Himalaya Option Analytics
Creators: name: Yang, Alex
Publisher: name: Zenodo
Year: 2022
Subjects: Himalaya Option, Himalaya option valuation

description: Himalaya option is a contract that pays the sum of the best performers of a basket of assets over a particular time horizon. There is a set of observation dates are defined. The number of observation dates are equal to the number of underlying assets. The unique feature of Himalaya option is the withdrawal of the best/worst performer asset from the basket at each pre-defined observation date, until only one stock remains.

description: https://ia803400.us.archive.org/13/items/eq-himalaya-25/EqHimalaya-archive.pdf
Switching from usual brand cigarettes to a tobacco-heating cigarette or snus: Part 3. Biomarkers of biological effect
Creators: name: Ogden, Michael W.
name: Marano, Kristin M.
name: Bobbette A. Jones
name: Morgan, Walter T.
name: Stiles, Mitchell F.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Biotechnology
subject: Cell Biology
subject: Biochemistry

description: A randomized, multi-center study of adult cigarette smokers switched to tobacco-heating cigarettes, snus or ultra-low machine yield tobacco-burning cigarettes (50/group) for 24 weeks was conducted. Evaluation of biomarkers of biological effect (e.g. inflammation, lipids, hypercoaguable state) indicated that the majority of consistent and statistically significant improvements over time within each group were observed in markers of inflammation. Consistent and statistically significant differences in pairwise comparisons between product groups were not observed. These findings are relevant to the understanding of biomarkers of biological effect related to cigarette smoking as well as the risk continuum across various tobacco products (ClinicalTrials.gov Identifier: NCT02061917).
Switching from usual brand cigarettes to a tobacco-heating cigarette or snus: Part 1. Study design and methodology
Creators: name: Ogden, Michael W.
name: Marano, Kristin M.
name: Bobbette A. Jones
name: Stiles, Mitchell F.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Cancer
subject: Information and Computing Sciences
subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Chemistry
subject: Biotechnology
subject: Genetics
subject: FOS: Biological sciences
subject: Cell Biology
subject: Biochemistry

description: A randomized, multi-center study was conducted to assess potential improvement in health status measures, as well as changes in biomarkers of tobacco exposure and biomarkers of biological effect, in current adult cigarette smokers switched to tobacco-heating cigarettes, snus or ultra-low machine yield tobacco-burning cigarettes (50/group) evaluated over 24 weeks. Study design, conduct and methodology are presented here along with subjects’ disposition, characteristics, compliance and safety results. This design and methodology, evaluating generally healthy adult smokers over a relatively short duration, proved feasible. Findings from this randomized study provide generalized knowledge of the risk continuum among various tobacco products (ClinicalTrials.gov Identifier: NCT02061917).
Leadership in agricultural machinery circles: experimental evidence from Tajikistan
Creators: name: Müller, Malte
Publisher: name: Humboldt-Universität zu Berlin
Year: 2020
Subjects: subject: field experiment
subject: public goods game
subject: leading by example
subject: voting
subject: producer organisations
subject: rural development
subject: 630 Landwirtschaft und verwandte Bereiche
subject: 640 Hauswirtschaft und Familie

description: Leadership is critical for the viability of rural groups. The way in which leadership is legitimised can mediate leader and group member behaviour in the face of social dilemmas. Yet there has been scant research on leader‐follower dynamics in naturally occurring groups. Highlighting the case of agricultural machinery circles in Tajikistan, the effect of leading by example on investments to a collective good is studied in a framed field experiment. To increase realism, and contrary to standard economic experiments, this investment is a voucher allowing the group to make a real‐world machinery purchase at reduced costs. Two treatments manipulate leaders’ legitimisation. Elected leaders achieve 30 per cent higher contributions to the collective investment against a baseline version without a leader. Contributions remain, on average, relatively stable over the course of the game. The results are discussed with reference to the debate on external intervention in agricultural producer organisations.
Bank Loan Officers' Perceptions of Corporate Financial Disclosure in the Banking Sector of Bangladesh: an Empirical Analysis
Creators: name: Madan Mohan Dey
name: Ahmed, Alim Al Ayub
Publisher: name: Zenodo
Year: 2009
Subjects: Financial Disclosure
Bank Loan Officer (BLO)
Bangladesh

description: All financial disclosure i. e., mandatory disclosure and voluntary disclosure are both included in an effective information disclosure system. Mandatory disclosure is the basic demand of the market, and voluntary disclosure is the extended demand of the market, because of its informative complement to the timing, content and depth of disclosure. Some specific disclosure includes the laws governing the formations of banks; the by-laws established by the bank itself, and the structure of the bank. The issue of the corporate financial disclosure is receiving greater attention both the developed and developing countries in the corporate sectors particularly. Nevertheless, this issue still remains largely unfamiliar in the corporate arena of the banking sector of Bangladesh. This study focuses on the practices of some selected disclosure practicing through annual reports by banks operating in Bangladesh. For this paper, an empirical study as well as a questionnaire survey has been conducted. The principal findings include, firstly, most of the banks discloses the name of default directors with amount due, the name of borrower directors, prepares aging schedule, fixes the rate of provisions for bad debts, do not take qualified opinion or disclaimer, creates secret reserves in the balance-sheet and uses cost principle in valuing assets and secondly the respondents are in favor of such disclosures. As it is a requirement, the current disclosures are not ample in evaluating the goals of corporate financial disclosure in the banking sector.
Source expression matrices of omics data
Creators: name: Gao, Junyin
Publisher: name: figshare
Year: 2022
Subjects: subject: 60405 Gene Expression (incl. Microarray and other genome-wide approaches)
subject: FOS: Biological sciences
subject: 60408 Genomics

description: Source expression matrices of transcriptomics, proteomics and acetylomics of lung tissues of mice from COPD group and control group.
Callable Range Accrual Analytics
Creators: name: Yang, Alex
Publisher: name: Zenodo
Year: 2022
Subjects: range accrual, callable range accrual, valuation

description: A range accrual swap is a swap where in the payoff is dependent on the reference rate falling within a particular range. A callable range accrual swap is a range accrual swap in which the party paying the structured coupon leg has the right to cancel on any coupon date after a lock-out period expires.
description: https://ia903407.us.archive.org/23/items/eq-range-accrual-27/EqRangeAccrual-archive.pdf
Rights of Minorities Under Islam
Creators: name: Malik, Shahnawaz Ahmed
Publisher: name: figshare
Year: 2022
Subjects: subject: 180114 Human Rights Law
subject: FOS: Law
subject: 220104 Human Rights and Justice Issues
subject: FOS: Philosophy, ethics and religion

description: The paper discusses the rights of minorities under Islam with the helpof Quran and Hadith.
Supplementary Information for: A comprehensive and cost-effective approach for investigating passive dispersal in minute invertebrates – a case study of the phytophagous wheat curl mite
Creators: name: Kuczyński, Lechosław
name: Radwańska, Anna
name: Karpicka-Ignatowska, Kamila
name: Laska, Alicja
name: Lewandowski, Mariusz
name: Rector, Brain G.
name: Majer, Agnieszka
name: Raubic, Jarosław
name: Skoracka, Anna
Publisher: name: Zenodo
Year: 2020

description: Filename: ESM_1.pdf Photos and technical drawings of the 'wind-transience' tunnel, 'vector-transience' tunnel and 'departure' tunnel, and the scheme of Lego Mindstorms NXT 2.0 - engine program for a robotic mammalian vector simulation. Filename: ESM_2.R Reproducible example on how to estimate dispersal parameters using the methodology proposed in this article Filename: ESM_3.pdf Estimated costs of devices construction in USD
 Filename: ESM_4.mp4 Video 3D model of the ‘wind-transience’ tunnel Filename: ESM_5.mp4 Video 3D model of the ‘vector-transience’ tunnel Filename: ESM_6.mp4 Video 3D model of the ‘departure’ tunnel Filename: ESM_7.mp4 Video of eriophyid mite behaviours observed within the ‘departure’ tunnel
description: The study was funded by the National Science Centre (NSC) grant no. 2016/21/B/NZ8/00786, and supported by NSC PhD scholarship no. 2018/28/T/NZ8/00060 awarded to Agnieszka Majer and NSC PhD scholarship no. 2019/32/T/NZ8/00151 awarded to Alicja Laska. AL is a scholarship holder from the Adam Mickiewicz University Foundation awarded in 2019/2020
Estudio de Propiedades Mecánicas de la Nanocelulosa Vía Dinámica Molecular
Creators: name: 0000-0003-0063-5084, Angel M. Fuentes
Publisher: name: Zenodo
Year: 2024

description: Initially, the models used to describe the interactions of these types of systems, i.e. forcefields that describe the potential energy function associated with their intramolecular andintermolecular behavior, will be analyzed. A selection of experimental information associ-ated with the physicochemical properties of nanocellulose, such as elastic modulus, tensilestrength, surface area, crystallinity, and chemical resistance, is performed to evaluate theability of force fields to reproduce their properties. Once the performance of the models isevaluated, they are parameterized, adjusting the model to reproduce the experimental data,thus optimizing the prediction of mechanical properties.
Simultaneous Coefficient Clustering and Sparsity for Multivariate Mixed Models
Creators: name: Hui, Francis K. C.
name: Dang, Khue-Dung
name: Maestrini, Luca
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Evolutionary Biology
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Computational Biology

description: In many applications of multivariate longitudinal mixed models, it is reasonable to assume that each response is informed by only a subset of covariates. Moreover, one or more responses may exhibit the same relationship to a particular covariate for example, if they are capturing the same underlying aspect of an individual physical, mental, and emotional health. To address the above challenges, we propose a method for simultaneous clustering and variable selection of fixed effect coefficients in multivariate mixed models. We achieve this in a computationally scalable manner via a composite likelihood approach: separate mixed models are first fitted to each response, after which the model estimates are combined into a single quadratic form resembling a multivariate Wald statistic. We then augment this with fusion- and sparsity-inducing penalties based on broken adaptive ridge regression. Simulation studies demonstrate that the proposed composite quadratic estimator is similar to or better than several existing techniques for fixed effects selection in (univariate) mixed models while being computationally much more efficient. We apply the proposed method to longitudinal panel data from Australia to quantify how an individual’s overall health, assessed via a set of eight composite scores, evolves as a function of various demographic and lifestyle variables.
Simultaneous coefficient clustering and sparsity for multivariate mixed models
Creators: name: Hui, Francis K.C.
name: Dang, Khue-Dung
name: Maestrini, Luca
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biotechnology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Computational Biology

description: In many applications of multivariate longitudinal mixed models, it is reasonable to assume that each response is informed by only a subset of covariates. Moreover, one or more responses may exhibit the same relationship to a particular covariate e.g., if they are capturing the same underlying aspect of an individual physical, mental, and emotional health. To address the above challenges, we propose a method for simultaneous clustering and variable selection of fixed effect coefficients in multivariate mixed models. We achieve this in a computationally scalable manner via a composite likelihood approach: separate mixed models are first fitted to each response, after which the model estimates are combined into a single quadratic form resembling a multivariate Wald statistic. We then augment this with fusion- and sparsity-inducing penalties based on broken adaptive ridge regression. Simulation studies demonstrate that the proposed composite quadratic estimator is similar to or better than several existing techniques for fixed effects selection in (univariate) mixed models while being computationally much more efficient. We apply the proposed method to longitudinal panel data from Australia to quantify how an individual’s overall health, assessed via a set of eight composite scores, evolves as a function of various demographic and lifestyle variables.
CAELESTIS software and adaptive simulation workflow implementation
Creators: name: Barcelona Supercomputing Center
Publisher: name: Zenodo
Year: 2023

description: The CAELESTIS project aims to establish a digital simulation-driven ecosystem tailored for designing manufacturing strategies, with a focus on advancing the European aircraft industry. This initiative intends to facilitate the industry's evolution by enabling extensive exploration of design and manufacturing space to discover novel aerostructures and related systems.

The work package 2 of the CAELESTIS project has focused on the design and implementation of the CAELESTIS Interoperable Simulation Ecosystem (ISE) that integrates the Distributed Engineering Teams (DET) across aircraft industry with the High-Performance Computing (HPC) environments to enable the execution of complex product and process multi-scale and multiphysics simulation workflows. The first deliverable of the work package(D2.1), we provided the details on the design and implementation of the ISE as a software solution to manage the execution of simulation workflows that integrate different simulation software and data analytics techniques, and the cybersecurity analysis and recommendations to take into account for this ecosystem. 

This deliverable releases the software components of the CAELESTIS ISE and the simulation workflows. The software components are released as beta version which are ready to be integrated with the demonstrator use case in WP7. The source code of these components is available in different Git repositories within the CAELESTIS Github organization. The URL of these repositories can be found in Table 1. Any change required due to the integration in WP7 or bug fix performed until the end of the project will be included in these repositories.
Deciphering structure-activity relationships in a series of Tat/TAR inhibitors
Creators: name: Pascale, Lise
name: González, Alejandro López
name: Giorgio, Audrey Di
name: Gaysinski, Marc
name: Closa, Jordi Teixido
name: Tejedor, Roger Estrada
name: Azoulay, Stéphane
name: Patino, Nadia
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
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: 60506 Virology
subject: FOS: Biological sciences

description: A series of pentameric “Polyamide Amino Acids” (PAAs) compounds derived from the same trimeric precursor have been synthesized and investigated as HIV TAR RNA ligands, in the absence and in the presence of a Tat fragment. All PAAs bind TAR with similar sub-micromolar affinities but their ability to compete efficiently with the Tat fragment strongly differs, IC50 ranging from 35 nM to >2 μM. While NMR and CD studies reveal that all PAA interact with TAR at the same site and induce globally the same RNA conformational change upon binding, a comparative thermodynamic study of PAA/TAR equilibria highlights distinct TAR binding modes for Tat competitor and non-competitor PAAs. This led us to suggest two distinct interaction modes that have been further validated by molecular modeling studies. While the binding of Tat competitor PAAs induces a contraction at the TAR bulge region, the binding of non-competitor ones widens it. This could account for the distinct PAA ability to compete with Tat fragment. Our work illustrates how comparative thermodynamic studies of a series of RNA ligands of same chemical family are of value for understanding their binding modes and for rationalizing structure-activity relationships.
Trinucleotide’s quadruplet symmetries and natural symmetry law of DNA creation ensuing Chargaff’s second parity rule
Creators: name: Rosandić, Marija
name: Vlahović, Ines
name: Glunčić, Matko
name: Paar, Vladimir
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biophysics
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Evolutionary Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: For almost 50 years the conclusive explanation of Chargaff’s second parity rule (CSPR), the equality of frequencies of nucleotides A=T and C=G or the equality of direct and reverse complement trinucleotides in the same DNA strand, has not been determined yet. Here, we relate CSPR to the interstrand mirror symmetry in 20 symbolic quadruplets of trinucleotides (direct, reverse complement, complement, and reverse) mapped to double-stranded genome. The symmetries of Q-box corresponding to quadruplets can be obtained as a consequence of Watson–Crick base pairing and CSPR together. Alternatively, assuming Natural symmetry law for DNA creation that each trinucleotide in one strand of DNA must simultaneously appear also in the opposite strand automatically leads to Q-box direct-reverse mirror symmetry which in conjunction with Watson–Crick base pairing generates CSPR. We demonstrate quadruplet’s symmetries in chromosomes of wide range of organisms, from Escherichia coli to Neanderthal and human genomes, introducing novel quadruplet-frequency histograms and 3D-diagrams with combined interstrand frequencies. These “landscapes” are mutually similar in all mammals, including extinct Neanderthals, and somewhat different in most of older species. In human chromosomes 1–12, and X, Y the “landscapes” are almost identical and slightly different in the remaining smaller and telocentric chromosomes. Quadruplet frequencies could provide a new robust tool for characterization and classification of genomes and their evolutionary trajectories.
Patients’ Knowledge About Analgesic-Antipyretic Medications Purchased in Community Pharmacies: A Descriptive Study
Creators: name: Jean-Pascal Fournier
name: Dupouy, Julie
name: Jean-Christophe Poutrain
name: Grézy-Chabardès, Claire
name: Oustric, Stéphane
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Cancer
subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology
subject: Cell Biology

description: ABSTRACTThe objective of this study was to describe the level of knowledge about paracetamol (acetaminophen), ibuprofen, and aspirin of subjects who purchased nonprescription medications containing one of these drugs. We conducted this cross-sectional descriptive study in 42 community pharmacies located in southwestern France between July and November 2013. A six-item self-administered questionnaire was used. Participants were asked to identify the active ingredient contained in 14 brand-name analgesic-antipyretics, to state the maximum daily dose of paracetamol, ibuprofen, and aspirin, the recommended first-line analgesic, and precautions of use or contraindications for paracetamol, ibuprofen, and aspirin. Among 576 participants, the identification of paracetamol ranged from 58% (for Dafalgan or Efferalgan) to 90% (for Doliprane), the identification of ibuprofen from 34% (for Nureflex) to 63% (for Nurofen), and the identification of aspirin was 70% (for Aspegic). The maximum recommended daily dose of paracetamol, ibuprofen, and aspirin was known by 58.3%, 17.7%, and 19.3% of participants, respectively, whereas 6.8%, 17.2%, and 13.2% stated supratherapeutic daily doses. Paracetamol was correctly stated as the first-line analgesic-antipyretic by 76.2% of participants. Knowledge on major precautions of use or contraindications was poor (45.8% and 53.6% for ibuprofen and aspirin use during pregnancy, and 14.1% for concurrent use of anticoagulants and ibuprofen). Purchasers of nonprescription analgesic-antipyretics had poor knowledge on the medication they purchased.
Identification of potential inhibitors for AIRS from de novo purine biosynthesis pathway through molecular modeling studies – a computational approach
Creators: name: R. Guru Raj Rao
name: Biswal, Jayashree
name: Prabhu Dhamodharan
name: Kanagarajan, Surekha
name: Jeyakanthan Jeyaraman
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Medicine
subject: Pharmacology
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
subject: FOS: Biological sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: In cancer, de novo pathway plays an important role in cell proliferation by supplying huge demand of purine nucleotides. Aminoimidazole ribonucleotide synthetase (AIRS) catalyzes the fifth step of de novo purine biosynthesis facilitating in the conversion of formylglycinamidine ribonucleotide to aminoimidazole ribonucleotide. Hence, inhibiting AIRS is crucial due to its involvement in the regulation of uncontrollable cancer cell proliferation. In this study, the three-dimensional structure of AIRS from P. horikoshii OT3 was constructed based on the crystal structure from E. coli and the modeled protein is verified for stability using molecular dynamics for a time frame of 100 ns. Virtual screening and induced fit docking were performed to identify the best antagonists based on their binding mode and affinity. Through mutational studies, the residues necessary for catalytic activity of AIRS were identified and among which the following residues Lys35, Asp103, Glu137, and Thr138 are important in determination of AIRS function. The mutational studies help to understand the structural and energetic characteristics of the specified residues. In addition to Molecular Dynamics, ADME properties, binding free-energy, and density functional theory calculations of the compounds were carried out to find the best lead molecule. Based on these analyses, the compound from the NCI database, NCI_121957 was adjudged as the best molecule and could be suggested as the suitable inhibitor of AIRS. In future studies, experimental validation of these ligands as AIRS inhibitors will be carried out.
Art as a Source for the History of War: James McBey’s Long Patrol Images and Emotional Responses to the Sinai Campaign
Creators: name: Butler, Janet
Publisher: name: La Trobe
Year: 2024
Subjects: classificationCode: 4302
subject: Heritage, archive and museum studies
classificationCode: 4303
subject: Historical studies

description: Visual sources, capturing aspects of life silenced or left untold in textual accounts, have the potential to offer new, historical understandings of the individual experience of war. During World War I, official war artist James McBey created a series of images of Australian soldiers–Cameliers–on reconnaissance in the Sinai Desert. This article reads a selection of those images, arguing that what they signified and the emotions they aroused can be retrieved historically by considering their multiple contexts. These include not only the social, political, and military environments, but also the cultural imaginaries which the artist shared with his audiences.
Identification of potential inhibitors for AIRS from de novo purine biosynthesis pathway through molecular modeling studies – a computational approach
Creators: name: R. Guru Raj Rao
name: Biswal, Jayashree
name: Prabhu Dhamodharan
name: Kanagarajan, Surekha
name: Jeyakanthan Jeyaraman
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Medicine
subject: Pharmacology
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
subject: FOS: Biological sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: In cancer, de novo pathway plays an important role in cell proliferation by supplying huge demand of purine nucleotides. Aminoimidazole ribonucleotide synthetase (AIRS) catalyzes the fifth step of de novo purine biosynthesis facilitating in the conversion of formylglycinamidine ribonucleotide to aminoimidazole ribonucleotide. Hence, inhibiting AIRS is crucial due to its involvement in the regulation of uncontrollable cancer cell proliferation. In this study, the three-dimensional structure of AIRS from P. horikoshii OT3 was constructed based on the crystal structure from E. coli and the modeled protein is verified for stability using molecular dynamics for a time frame of 100 ns. Virtual screening and induced fit docking were performed to identify the best antagonists based on their binding mode and affinity. Through mutational studies, the residues necessary for catalytic activity of AIRS were identified and among which the following residues Lys35, Asp103, Glu137, and Thr138 are important in determination of AIRS function. The mutational studies help to understand the structural and energetic characteristics of the specified residues. In addition to Molecular Dynamics, ADME properties, binding free-energy, and density functional theory calculations of the compounds were carried out to find the best lead molecule. Based on these analyses, the compound from the NCI database, NCI_121957 was adjudged as the best molecule and could be suggested as the suitable inhibitor of AIRS. In future studies, experimental validation of these ligands as AIRS inhibitors will be carried out.
Electric vehicle diffusion in the Portuguese automobile market
Creators: name: Silva, Marta Braz Da
name: Moura, Filipe
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Pharmacology
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: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: The present research focuses on electric vehicles as part of the Portuguese policy to make the transportation system more energy efficient and environmentally friendly. The main goal is to estimate the fleetwide energy consumption and corresponding carbon dioxide emissions up to 2030 and examine to what extent the introduction of electric vehicles will reduce those indicators. A system dynamics model of the Portuguese car fleet was developed that captures the inter relationships between the main drivers of the system while simulating the car owners’ behavior when selecting technologies. To analyze the evolution of energy consumption and carbon emissions, a scenario analysis is followed. In addition, a series of transportation policy instruments is tested in each scenario in order to analyze reduction effectiveness of emissions and increasing diffusion of electric vehicles. We concluded that a fast-growing economy is the best scenario to decrease energy consumption mostly due to the expected increase in fuel efficiency of the car stock deriving from a faster technological turnover of internal combustion engine vehicles. Regarding transportation policy instruments, the increase in the tax applied to fossil-fuel sales as well as applied to conventional vehicles’ sales are the most efficient policies to increase the diffusion of electric vehicles. Importantly, according to our results, the uptake of electric vehicles is expected to be rather low (less than 10% of new cars until 2030), regardless of the scenario or transportation policy analyzed.
Electric vehicle diffusion in the Portuguese automobile market
Creators: name: Silva, Marta Braz Da
name: Moura, Filipe
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Pharmacology
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: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: The present research focuses on electric vehicles as part of the Portuguese policy to make the transportation system more energy efficient and environmentally friendly. The main goal is to estimate the fleetwide energy consumption and corresponding carbon dioxide emissions up to 2030 and examine to what extent the introduction of electric vehicles will reduce those indicators. A system dynamics model of the Portuguese car fleet was developed that captures the inter relationships between the main drivers of the system while simulating the car owners’ behavior when selecting technologies. To analyze the evolution of energy consumption and carbon emissions, a scenario analysis is followed. In addition, a series of transportation policy instruments is tested in each scenario in order to analyze reduction effectiveness of emissions and increasing diffusion of electric vehicles. We concluded that a fast-growing economy is the best scenario to decrease energy consumption mostly due to the expected increase in fuel efficiency of the car stock deriving from a faster technological turnover of internal combustion engine vehicles. Regarding transportation policy instruments, the increase in the tax applied to fossil-fuel sales as well as applied to conventional vehicles’ sales are the most efficient policies to increase the diffusion of electric vehicles. Importantly, according to our results, the uptake of electric vehicles is expected to be rather low (less than 10% of new cars until 2030), regardless of the scenario or transportation policy analyzed.
Identification of Potential Inhibitors for AIRS from de novo purine biosynthesis pathway through Molecular modeling Studies - A Computational approach
Creators: name: Jeyaraman Jeyakanthan
name: R. Guru Raj Rao
name: Biswal, Jayashree
name: D. Prabhu
name: K. Sureka
Publisher: name: Taylor & Francis
Year: 2015
Subjects: Biological Sciences
Chemistry
Earth and Environmental Sciences
Pharmacology
Physics
Biochemistry
Biophysics

description: In cancer, de novo pathway plays an important role in cell proliferation by supplying huge demand of purine nucleotides. Aminoimidazole ribonucleotide synthetase (AIRS) catalyzes the fifth step of de novo purine biosynthesis facilitating in the conversion of Formylglycinamidine Ribonucleotide (FGAM) to Aminoimidazole Ribonucleotide (AIR). Hence, inhibiting AIRS is crucial due to its involvement in the regulation of uncontrollable cancer cell proliferation. In this study, the three-dimensional structure of AIRS from P. horikoshii OT3 was constructed based on the crystal structure from E.coli and the modeled protein is verified for stability using molecular dynamics for a time frame of 100 ns. Virtual screening and Induced Fit Docking was performed to identify the best antagonists based on their binding mode and affinity. Through mutational studies, the residues necessary for catalytic activity of AIRS were identified and among which the following residues Lys35, Asp103, Glu137 and Thr138 are important in determination of AIRS function. The mutational studies help to understand the structural and energetic characteristics of the specified residues. In addition to, Molecular Dynamics, ADME properties, Binding free-energy and Density Function Theory (DFT) calculations of the compounds were carried out to find the best lead molecule. Based on these analyses, the compound from the NCI database, NCI_121957 was adjudged as the best molecule and could be suggested as the suitable inhibitor of AIRS. In future studies, experimental validation of these ligands as AIRS inhibitors will be carried out.
Structure-based design and optimization of antihypertensive peptides to obtain high inhibitory potency against both renin and angiotensin I-converting enzyme
Creators: name: Y. Li
name: Z. Zhou
name: C. Cheng
Publisher: name: Taylor & Francis
Year: 2015
Subjects: Computational Biology
Biological Sciences
Chemistry
Biotechnology
Pharmacology
Biochemistry

description: The human renin–angiotensin system (RAS) plays an essential role in regulating blood pressure and systemic vascular resistance. Renin and angiotensin I-converting enzyme (ACE) are two key enzymes in RAS and have long been recognized as attractive antihypertensive targets. Here, a synthetic strategy was proposed integrating quantitative structure–activity relationship (QSAR), molecular dynamics (MD) simulation and binding free energy analysis to discover novel dual renin and ACE peptidic inhibitors. With the strategy a number of candidates were generated virtually, from which eight promising peptides were selected and synthesized for biological assay. Consequently, three peptides (RYLP, YTAWVP and YRAWVL) were successfully identified to have satisfactory inhibitory profile against both renin and ACE with IC50 values of <1 mM and <10 μM, respectively. Structural analysis and energetic dissection revealed different binding modes of peptide to renin and ACE; a peptide only inserts its C-terminus into the active site of ACE, whereas the whole peptide packs tightly against renin. In addition, when limited to structural diversity it is hard to reconcile the renin and ACE inhibitory activities of short peptides such as dipeptides. These findings can be used to guide peptide optimization with improved biological activity.
Phase II MS4 Permit: Improving Central Massachusetts Stormwater Management
Creators: name: Botelho, Andrew
name: Gorton, Vanessa
name: Pai, Vinay
Publisher: name: QUBES Educational Resources
Year: 2025

description: Stormwater runoff is the leading cause of water pollution in the United States. It is precipitation that flows over impervious surfaces, collects pollutants, and discharges untreated into a surface water body. The goal of this project was to improve stormwater management programs in municipalities within Central Massachusetts (MA). We worked with the Massachusetts Department of Environmental Protection to help the towns of Auburn, Holden, and Upton prepare for the upcoming MA MS4 permit. With assistance from the Central Massachusetts Regional Stormwater Coalition, we developed the Catchment Area Priority Ranking System database and created several documents to aid municipalities in understanding the requirements of both the 2003 MA MS4 general and 2013 New Hampshire MS4 draft permit.
Electric vehicle diffusion in the Portuguese automobile market
Creators: name: Silva, Marta Braz Da
name: Moura, Filipe
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Biological Sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Biochemistry

description: ABSTRACTThe present research focuses on electric vehicles as part of the Portuguese policy to make the transportation system more energy efficient and environmentally friendly. The main goal is to estimate the fleetwide energy consumption and corresponding carbon dioxide emissions up to 2030 and examine to what extent the introduction of electric vehicles will reduce those indicators. A system dynamics model of the Portuguese car fleet was developed that captures the inter relationships between the main drivers of the system while simulating the car owners’ behavior when selecting technologies. To analyze the evolution of energy consumption and carbon emissions, a scenario analysis is followed. In addition, a series of transportation policy instruments is tested in each scenario in order to analyze reduction effectiveness of emissions and increasing diffusion of electric vehicles. We concluded that a fast-growing economy is the best scenario to decrease energy consumption mostly due to the expected increase in fuel efficiency of the car stock deriving from a faster technological turnover of internal combustion engine vehicles. Regarding transportation policy instruments, the increase in the tax applied to fossil-fuel sales as well as applied to conventional vehicles’ sales are the most efficient policies to increase the diffusion of electric vehicles. Importantly, according to our results, the uptake of electric vehicles is expected to be rather low (less than 10% of new cars until 2030), regardless of the scenario or transportation policy analyzed.
POWDER METALLURGY OF Al-B4C & Cu-Ni POWDER
Creators: name: Mishra, Sanjiv
Publisher: name: figshare
Year: 2015
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering

description: Powder Metallurgy is the process with which materials can be manufactured with unique properties. In this process fine powder of metals is compacted in a die with certain compaction pressure. The compacted mass is then heated up to a certain temperature. This promotes the atomic diffusion of the metallic particles together to form a solid product. Diffusion phenomenon is observed at any temperature but the process of diffusion accelerates at elevated temperature.
These powders are taken individually and sufficient quantity of binder is added. Then after making the powder it is undergone the process BLENDING. Blending process is to obtain uniformity (Since the powders made by various processes may have different shape and size) and to impart special physical and mechanical properties. In order to avoid contamination and deterioration, powder mixing must be carried out under controlled conditions. Binder is used to increase the adhesive strength of the powders during compaction.
Then after the compound is allowed for sintering. In sintering Cu-Graphite alloy liquefied and formed a new brazed component. After sintering the bond is broken by cutting. After completion of sintering then the final powder metallurgy compound is prepared. Then it is allowed for optical microscope for microstructural analysis. After we are performing XRD & SEM to find the chemical composition of the compound. After finding the microstructure and chemical composition final results are tabulated.
Autocallable Note Analytics
Creators: name: Yang, Alex
Publisher: name: Zenodo
Year: 2022
Subjects: autocallable note, note pricing

description: Autocallable note provides periodic coupons that are linked to the performance of a basket of equities. There is a knock-out barrier level for the total coupon amount; if reached, the notional is returned and the deal is cancelled.
description: https://ia803405.us.archive.org/31/items/eq-auto-callable-28/EqAutoCallable-archive.pdf
Advance Continuous Casting Of Ag-Cu Alloy
Creators: name: Mishra, Sanjiv
Publisher: name: figshare
Year: 2015
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering

description: By: Vaibhav A. Chilate This study sought to examine the suitability of the Advance Continuous strip and roll casting process as a new fabrication method for Ag-Cu brazing alloy. In this, all the stages of casting performed on single machine itself as a automated controlled system. Indeed, it is more effective and efficient casting method for continuous product such as planner strip casting, melt dragging, roll strip casting. In this particularly, the final product gets without any loss of materials, and it would be almost defect free. Such casting product uses for precise purpose like brazing in aircraft, missiles, rocket, and supersonic jet etc. In particular, continuous strip casting was found to realize the best strip shaping ability and microstrutural homogeneity. The effect on mechanical properties of Ag-Cu strip was also investigated through tensile test, vicker hardness test, optical microscopic, And scanning electronic microscopic(SEM) observations.
First report on exploring classification and regression based QSAR modelling of Plasmodium falciparum glycogen synthase kinase (PfGSK-3) inhibitors
Creators: name: R. Balasaheb Aher
name: K. Roy
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Mathematics
subject: FOS: Mathematics
subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Pharmacology
subject: Microbiology
subject: FOS: Biological sciences
subject: Medicine
subject: Biochemistry

description: Recent advances in the knowledge of parasite biology have unveiled many new antimalarial targets for drug development. The glycogen synthase kinase-3 from Plasmodium falciparum (PfGSK-3) plays an active role in the completion of the asexual erythrocytic stage of P. falciparum life cycle. Due to the limited availability of experimental information (only one dataset is publicly available to our knowledge) and the absence of the target protein structure, the discovery of new inhibitors against PfGSK-3 is quite challenging. Against this background, we have made an effort to develop classification-based (using linear discriminant analysis or LDA) and regression-based quantitative structure-activity relationship (using group based-QSAR or G-QSAR) models for the categorization and quantitative prediction, respectively, of the activity of PfGSK-3 inhibitors. The classification model highlighted the contribution of electronic (Dipole-mag) and topological (S_tsC) descriptors in discriminating the PfGSK-3 inhibitors into more active and less active classes. The regression-based G-QSAR model showed the contribution of fragment-based descriptors (R1-chiV3 and R2-Most-vePotential) in determining the PfGSK-3 inhibitory activity, and also suggested modification sites for the improvement of PfGSK-3 inhibitory activity. The information obtained from this work could be utilized for the identification of novel PfGSK-3 inhibitors with a hope of overcoming the antimalarial resistance problem.
Time Hypothesis
Creators: name: Cruz Ramirez, Mario Alberto
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Quantum physics
subject: quantum time
subject: relativity
subject: interactive time

description: Humans have always wondered about their surroundings: why are there clouds? Why is there day andnight? And so on. But one question that many people have asked is: What is time? Many have explainedthat it’s something fictitious, something that is a law, a dimension, and so on. In this work, I won’t revealwhat it is, but I will explain how it is managed and how time influences us.