cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Cloning, homology modeling, heterologous expression and bioinformatic analysis of Ure2pA glutathione S-transferase gene from white rot fungus Trametes gibbosa
Creators: name: Zhang, Jian
name: Chi, Yujie
name: Li, Shuxuan
name: Gu, Xinzhi
name: Ye, Yi
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Immunology
subject: FOS: Clinical medicine
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Glutathione S-transferases (GSTs) are a class of enzymes with detoxification function. GSTs can be used for the degradation of toxic aromatic compounds, such as dyes. In order to promote their application and cost-effective dye degradation and to understand their structure and function more deeply, we cloned and expressed a gst2 gene from Trametes gibbosa—a white rot fungus. T.gibbosa gst2 has a 672-bp open reading frame (ORF) and encodes 223 amino acids. The recombinant Tg-gst2 in Escherichia coli has a molecular weight of 25.59 k. Real-time polymerase chain reaction and high throughput sequencing technique were used to verify Tg-gst2 gene response to congo red dye. GST activity enhanced with congo red treatment. The tertiary structure of Tg-GST2 was predicted using homology modeling, and we found that it belongs to Ure2pA family of GST, which is a specific family of fungi. Active sites contained catalytic tri-linked groups, such as Gly15-Pro16-Asn17. Oxidized glutathione binding residues are Gln 44, Arg 57, Ile 58, Glu 73, Ser 74, Ser 111, Arg 137 and Trp 174. Molecular docking predicted that the binding effect of Tg-GST2 with oxidized glutathione and congo red was strong. This study has great significance in the research and application GST of Ure2pA family in dye decolorization and detoxification. Supplemental data for this article is available online at https://doi.org/10.1080/13102818.2021.1997157 .
Pathogen shifts in a honeybee predator following the arrival of the Varroa mite
Creators: name: Loope, KJ
name: Baty, James
name: Lester, Philip
name: Rankin, EE Wilson
Publisher: name: Open Access Victoria University of Wellington | Te Herenga Waka
Year: 2021
Subjects: subject: Zoology
subject: FOS: Biological sciences

description: Emerging infectious diseases (EIDs) are a global threat to honeybees, and spillover from managed bees threaten wider insect populations. Deformed wing virus (DWV), a widespread virus that has become emergent in conjunction with the spread of the mite Varroa destructor, is thought to be partly responsible for global colony losses. The arrival of Varroa in honeybee populations causes a dramatic loss of viral genotypic diversity, favouring a few virulent strains. Here, we investigate DWV spillover in an invasive Hawaiian population of the wasp, Vespula pensylvanica, a honeybee predator and honey-raider. We show that Vespula underwent a parallel loss in DWV variant diversity upon the arrival of Varroa, despite the mite being a honeybee specialist. The observed shift in Vespula DWV and the variant-sharing between Vespula and Apis suggest that these wasps can acquire DWV directly or indirectly from honeybees. Apis prey items collected from Vespula foragers were positive for DWV, indicating predation is a possible route of transmission. We also sought cascading effects of DWV shifts in a broader Vespula pathogen community. We identified concurrent changes in a suite of additional pathogens, as well as shifts in the associations between these pathogens in Vespula. These findings reveal how hidden effects of the Varroa mite can, via spillover, transform the composition of pathogens in interacting species, with potential knock-on effects for entire pathogen communities.
Inhibitors of the folate pathway enzymes HPPK and DHPS
Creators: name: MATTHEW LLOYD DENNIS
Publisher: name: Monash University
Year: 2017
Subjects: subject: 111504 Pharmaceutical Sciences
subject: FOS: Clinical medicine

description: Antibiotic resistance is one of the most significant healthcare challenges of the current century, and novel drugs are of grave necessity. This thesis focuses on the development of such drugs. By targeting proteins that are present in bacteria, yet absent in humans, the risk of drug side-effects is minimised. Additionally, when an antibiotic acts on multiple proteins within a cell, the likelihood of resistance developing to that antibiotic may be reduced. A compound that possesses both these attributes is selected for development — the derived compounds are a significant improvement and represent promising leads for novel and effective therapeutics.
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors
Creators: name: Lee, Hyungtae
name: Kwon, Heesung
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In this paper, we propose a novel and highly practical score-level fusion approach called dynamic belief fusion (DBF) that directly integrates inference scores of individual detections from multiple object detection methods. To effectively integrate the individual outputs of multiple detectors, the level of ambiguity in each detection score is estimated using a confidence model built on a precision-recall relationship of the corresponding detector. For each detector output, DBF then calculates the probabilities of three hypotheses (target, non-target, and intermediate state (target or non-target)) based on the confidence level of the detection score conditioned on the prior confidence model of individual detectors, which is referred to as basic probability assignment. The probability distributions over three hypotheses of all the detectors are optimally fused via the Dempster's combination rule. Experiments on the ARL, PASCAL VOC 07, and 12 datasets show that the detection accuracy of the DBF is significantly higher than any of the baseline fusion approaches as well as individual detectors used for the fusion.
description: TPAMI publication
Additional file 1 of The relationship between childhood maltreatment and mental health problems: coping strategies and social support act as mediators
Creators: name: Su, Yingying
name: Meng, Xiangfei
name: Yang, Guang
name: D’Arcy, Carl
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Molecular Biology
Science Policy
Mental Health

description: Additional file 1: Figure S1. Diagnostic plots for the mutiple imputation.
Bilgi Okuryazarlığı, İnternet Bağımlılığı, Sanal Aylaklık ve Çeşitli Diğer Değişkenlerin Sanal Zorbalık ile İlişkisinin İncelenmesi
Creators: name: Demir, Ömer
name: Seferoğlu, Süleyman Sadi
Publisher: name: figshare
Year: 2017
Subjects: Education

description: Günümüzde bireylerin internet ortamında karşılaşabilecekleri en önemli problemlerden birinin sanal zorbalık olduğu ileri sürülmektedir. Bu nedenle sanal zorbalığın önlenmesi bireylerin psikolojik ve fiziksel sağlıkları açısından önem taşımaktadır. Sanal zorbalığın önlenmesi için ise sanal zorbalığı etkileyen ve sanal zorbalık ile ilişki içerisinde olan değişkenlerin araştırılması önem arz etmektedir. Bu bağlamda bu çalışma kapsamında bilgi okuryazarlığı, internet bağımlılığı ve sanal aylaklığın sanal zorbalık ile ilişkisi araştırılmıştır. Bunun yanı sıra, çeşitli değişkenlerin sanal zorbalık davranışlarına göre farklılık gösterme durumu da incelenmiştir. Araştırmaya 181 kişi katılmıştır. Katılımcıların çoğunu cinsiyet olarak erkek, eğitim durumu olarak ise lisans ve lisansüstü eğitimi almış bireyler oluşturmaktadır. Araştırmada 5 adet veri toplama aracı kullanılmıştır. Bu araçlar; demografik bilgiler anketi, siber aylaklık ölçeği, bilgi okuryazarlığı ölçeği, internet bağımlılığı ölçeği ve sanal zorbalık ölçeğidir. Araştırmanın bulguları sanal zorbalığın; sanal aylaklık ve internet bağımlılığı ile pozitif, bilgi okuryazarlığı ile ise negatif yönde anlamlı bir ilişki verdiği yönündedir. Ayrıca, sanal zorbalığın; yaşa, eğitim düzeyine ve mesleğe göre anlamlı farklılık gösterdiği sonucuna ulaşılmıştır. 25 yaş altı katılımcıların, 35 yaş üstü katılımcılara kıyasla daha fazla sanal zorbalık yaptıkları görülmüştür. Eğitim durumu söz konusu olduğunda ise, lisans ve yüksek lisans öğrencileri doktora öğrencilerine kıyasla daha fazla sanal zorbalık yaptıklarını raporlamışlardır. Meslek söz konusu olduğunda ise, henüz öğrenci olan katılımcılar öğretmen ve akademisyenlere kıyasla daha fazla sanal zorbalık davranışları göstermektedirler. Sanal zorbalık davranışlarının araştırmada ele alınan diğer değişkenler olan cinsiyete ve internete bağlanmak için en çok kullanılan cihaza göre anlamlı farklılık göstermediği araştırmanın diğer bulguları arasındadır. Araştırmanın sonuçları, özellikle bilgi okuryazarlığı eğitiminin sanal zorbalığı ve diğer ilişkili sorunları önlemede önemli olduğuna işaret etmektedir. Bu bağlamda, her düzeydeki eğitim kurumunun öğretim programında bu konulara yer verilmesinin sağlıklı kuşaklar yetiştirilmesi açısından önemli olduğu söylenebilir.
The Examination of Prospective Teachers' Information and Communication Technology Usage and Online Communication Self-efficacy Levels in Turkey
Creators: name: Demir, Ömer
name: Yurdugül, Halil
Publisher: name: figshare
Year: 2017
Subjects: Education

description: The concept of readiness to e-learning necessitates students possess a number of competencies, two of which are their ICT usage and online communication self-efficacy levels. Thus, in current research prospective teachers’ ICT usage and communication self-efficacy levels with respect to some demographic variables were explored. 1693 volunteer prospective teachers constituted the sampling of the study. In present study, there were two scales, whose reliability coefficients are respectively .894, and 846. With regard to findings, it appeared that solely grade level has no statistically significant influence on prospective teacher’ online communication self-efficacy levels. Further findings are discussed in the full paper.
Additional file 2 of The relationship between childhood maltreatment and mental health problems: coping strategies and social support act as mediators
Creators: name: Su, Yingying
name: Meng, Xiangfei
name: Yang, Guang
name: D’Arcy, Carl
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Molecular Biology
Science Policy
Mental Health

description: Additional file 2: Table S1. Sensitivity analysis on the standardized direct, indirect effects and total effects.
Sosyal Ağların Kullanım Amaçları Ölçeği
Creators: name: Usluel, Yasemin Koçak
name: Demir, Ömer
name: Çınar, Murat
Publisher: name: figshare
Year: 2017
Subjects: Education

description: The aim of this study is to develop a scale to identify the usage purposes of social networks. The study group consists of 236 social network users. Opinions of experts were obtained for content and linguistic validation. First and second order confirmatory factor analysis was conducted to construct the validity of the scale. The Cronbach alpha (α) coefficient was calculated to test the reliability of the scale. The results of the confirmatory factor analyses indicated that goodness of fit indices values were sufficient to proceed. The Cronbach alpha value was computed as .92. “The usage purposes scale of social networks” was found to be formed of seven factors and 26 items. These results supported the usage purposes scale of social networks as a reliable and valid measurement tool.
The Exploration of Models Regarding E-learning Readiness: Reference Model Suggestions
Creators: name: Demir, Ömer
Publisher: name: figshare
Year: 2017
Subjects: Education

description: Many studies have been conducted about readiness for e learning, yet it is quite hard to decide which work of research from the literature to use in a specific context. Therefore, the aim of this study is to identify of which components models consist and for which stakeholders they were developed by investigating the most comprehensive and prevalent models in the related literature. Thus, the methods for both implementers and researchers were shown. A literature review was employed as the method of the present study. Thirty models or measurement tools were explored in the scope of the study. The findings of the study show that competency in technology usage, access to technology, content, culture, human resources, finance, management and leadership, self-directed learning, motivation, and time management components of models pertaining to readiness for e-learning became prominent. Further findings and implications are discussed in the main text of the study.
Investigation of Effect of E-Learning Readiness Levels of Academic Staff on Those of Universities
Creators: name: Demir, Ömer
name: Yurdugül, Halil
Publisher: name: figshare
Year: 2017
Subjects: Education

description: Many universities today invest in e-learning programmes and train their employees for it. Despite these efforts,universities have not gained satisfactory results from such initiatives. Although there are many reasons for this failure, e-learning readiness is one that stands out. The e-learning readiness of university students has been comprehensively studied, but almost no research has been conducted to investigate that of universities and academic staff. So far, it has been understood that without an appropriate level of e-learning readiness, staff and universities are almost doomed to fail in this endeavour. Therefore, this study aims to examine how e-learning readiness levels of academic staff influences those of universities. A total of 96 academic staff members comprised the participants of this study. Two different scales were used, one of which was developed by the researchers and administered to academic staff to measure the e-learning readiness levels of both academic staff and universities. The results revealed two statistically significant findings. To start with, it was revealed that self-confidence had a positive and statistically significant impact on e-learning in terms of resource support. Moreover, it was seen that educational needs towards e-learning had a negative and statistically significant impact on the same factor. Further findings and implications are also discussed in the paper.
Additional file 1 of Synergistic effect of the commonest residual risk factors, remnant cholesterol, lipoprotein(a), and inflammation, on prognosis of statin-treated patients with chronic coronary syndrome
Creators: name: Liu, Hui-Hui
name: Guo, Yuan-Lin
name: Zhu, Cheng-Gang
name: Wu, Na-Qiong
name: Gao, Ying
name: Xu, Rui-Xia
name: Dong, Qian
name: Qian, Jie
name: Dou, Ke-Fei
name: Li, Jian-Jun
Publisher: name: figshare
Year: 2022
Subjects: subject: Physiology
subject: FOS: Biological sciences
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: Additional file 1: Table S1. Medications at admission and on discharge of patients with and without MACEs. Table S2. Cox regression analyses of RC, Lp(a), and hsCRP levels for predicting MACEs according to LDL-C levels. Table S3. Pearson correlation analyses of the association among RC, Lp(a), and hsCRP.
Additional file 1 of Focal points of preanesthesia evaluations for electroconvulsive therapy in patients with depression: a retrospective analysis of clinical characteristics in nonremission
Creators: name: Zou, Lei
name: Li, Xiao
name: Chen, Qibin
name: Lv, Feng
name: Min, Su
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Science Policy

description: Additional file 1. Supplemental Table. The variance inflation factor values of variates included in the multivariate analysis.
Spatial Manipulation of Thermal Flux in Nanoscale Films
Creators: name: Abhinav Malhotra
name: Kartik Kothari
name: Maldovan, Martin
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Space Science
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Evolutionary Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Increased surface-to-volume ratio is the key thermal transport determinant in nanoscale thin films and yet the impact of surface features on thermal conduction remains largely unexplored. In this work, we aim to uncover the energy flux spatial distribution in thin-film thermal conduction by developing a formulation that accounts for the existence of distinct surface conditions (roughness and correlation length) at the two interfaces. We show that designing the physical properties of thin-film surfaces provides control over the preferential spatial location of thermal flux, which could hold significant potential for rational design of thermal materials. The study highlights the importance of a rigorous description of boundary scattering mechanisms to bring in a new wave of understanding of the nature of heat at the nanoscale.
Biodiesel-assisted fabrication of porous polystyrene nanostructures and their excellent adsorption capacity
Creators: name: Mei, Bao
name: Sun, Mingbo
name: Gao, Xiaohui
name: Yang, Qing
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Space Science
subject: Physical Sciences not elsewhere classified
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified

description: Porous polystyrene nanostructures (PPNs) were synthesized through a facile emulsion polymerization method with assistance from environmental biodiesel. Based on controlling experiments with different biodiesel masses or temperatures, when added 0.2 g biodiesel at 60 °C, the delicate equilibrium between the reaction and diffusion rates was found to contribute to the PPN formation. Diffusion-limited aggregation theory was introduced to explain the possible formation mechanism of the PPNs. Moreover, due to their small pore sizes (40–50 nm) and high specific surface areas (769.3 m2/g), the PPNs showed excellent adsorption efficiency in the cycled adsorption of phenol. The possible adsorption mechanism is that PPNs has abundant benzene ring and phenol to form π–π stacking, thus playing the role of adsorption phenol. In this paper, a novel method of fabricating polystyrene nanostructures assisted by biodiesel is provided, which has a certain guiding effect on adsorption of benzene rings in wastewater.
Age and Method of Release Affect Migratory Performance of Hatchery Steelhead
Creators: name: Tatara, Christopher P.
name: Cooper, Matt R.
name: Gale, William
name: Benjamen M. Kennedy
name: Pasley, Chris R.
name: Berejikian, Barry A.
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Marine Biology
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Hatchery programs that are designed to aid recovery of natural populations of anadromous salmonids, including steelhead Oncorhynchus mykiss, require locally derived, natural-origin broodstock. In such programs, achieving smoltification size thresholds may require extending hatchery rearing beyond age 1. We compared out-migration survival and travel rates of 142,990 PIT-tagged steelhead smolts released at age 1 (S1 rearing strategy) or age 2 (S2 rearing strategy) over five release years at Winthrop National Fish Hatchery (WNFH, Okanogan County, Washington). An S2 rearing cycle produced larger smolts with more uniform size distributions, resulting in higher survival during the first portion of their out-migration than for S1 smolts in three of the five release years. The S2 smolts migrated more rapidly to the ocean than S1 smolts in all years except 2011 and arrived in the Columbia River estuary 5.4 d earlier on average than the S1 smolts. The S1 steelhead that did not leave during the volitional release were subsequently forced from the hatchery to measure their survival. Nonvolitional S1 migrants were smaller and had survival rates that were 2.3–66.3 times lower than those of S1 steelhead that left WNFH on their own. The same was true for S2 steelhead, but the magnitude of the survival difference between volitional migrants and fish forced from the raceways was less variable and ranged from 2.5- to 4.6-fold. We conclude that S2 rearing can be a successful strategy for producing smolts from local natural-origin broodstock, with out-migration survival and travel times that are equivalent to or better than those of S1 smolts produced from nonlocal broodstock. Received July 25, 2016; accepted March 31, 2017 Published online May 31, 2017
Investigation of Effect of E-Learning Readiness Levels of Academic Staff on Those of Universities
Creators: name: Demir, Ömer
Publisher: name: figshare
Year: 2017
Subjects: Education

description: Many universities today invest in e-learning programmes and train their employees for it. Despite these efforts,universities have not gained satisfactory results from such initiatives. Although there are many reasons for this failure, e-learning readiness is one that stands out. The e-learning readiness of university students has been comprehensively studied, but almost no research has been conducted to investigate that of universities and academic staff. So far, it has been understood that without an appropriate level of e-learning readiness, staff and universities are almost doomed to fail in this endeavour. Therefore, this study aims to examine how e-learning readiness levels of academic staff influences those of universities. A total of 96 academic staff members comprised the participants of this study. Two different scales were used, one of which was developed by the researchers and administered to academic staff to measure the e-learning readiness levels of both academic staff and universities. The results revealed two statistically significant findings. To start with, it was revealed that self-confidence had a positive and statistically significant impact on e-learning in terms of resource support. Moreover, it was seen that educational needs towards e-learning had a negative and statistically significant impact on the same factor. Further findings and implications are also discussed in the paper.
Computer-controlled Raman microspectroscopy (CC-Raman): A method for the rapid characterization of individual atmospheric aerosol particles
Creators: name: Craig, Rebecca L.
name: Bondy, Amy L.
name: Ault, Andrew P.
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Space Science
subject: Cell Biology
subject: Biotechnology
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: Inorganic Chemistry

description: The ability of an atmospheric aerosol particle to impact climate by acting as a cloud condensation nucleus (CCN) or an ice nucleus (IN), as well as scatter and absorb solar radiation is determined by its physicochemical properties at the single particle level, specifically size, morphology, and chemical composition. The identification of the secondary species present in individual aerosol particles is important as aging, which leads to the formation of these species, can modify the climate relevant behavior of particles. Raman microspectroscopy has a great deal of promise for identifying secondary species and their mixing with primary components, as it can provide detailed information on functional groups present, morphology, and internal structure. However, as with many other detailed spectroscopic techniques, manual analysis by Raman microspectroscopy can be slow, limiting single particle statistics and the number of samples that can be analyzed. Herein, the application of computer-controlled Raman (CC-Raman) for detailed physicochemical analysis that increases throughput and minimizes user bias is described. CC-Raman applies automated mapping to increase analysis speed allowing for up to 100 particles to be analyzed in an hour. CC-Raman is applied to both laboratory and ambient samples to demonstrate its utility for the analysis of both primary and, most importantly, secondary components (sulfate, nitrate, ammonium, and organic material). Reproducibility and precision are compared to computer controlled-scanning electron microscopy (CCSEM). The greater sample throughput shows the potential for CC-Raman to improve particle statistics and advance our understanding of aerosol particle composition and mixing state, and, thus, climate-relevant properties. © 2017 American Association for Aerosol Research
Oncideres xavieri Galileo and Martins 2010
Creators: name: Nearns, Eugenio H.
Publisher: name: Zenodo
Year: 2019
Subjects: Biodiversity
Taxonomy

description:  Oncideres xavieri Galileo and Martins, 2010 ( Lamiinae: Onciderini) is recorded from Peru, new country record. One ♀ specimen (MNRJ), "Coleção Campos Seabra//Pucallpa, Loreto Peru, I. VI.63 J.M. Schunke." This species was previously known from Bolivia, Brazil, and Ecuador.
description: Published as part of Nearns, Eugenio H., 2019, A new genus and species of Onciderini Thomson, 1860 (Coleoptera: Cerambycidae: Lamiinae) from Ecuador, with notes on additional taxa, pp. 1-7 in Insecta Mundi, 701 on page 6, DOI: 10.5281/zenodo.3673214
A new sociology of humans and machines
Creators: name: Tsvetkova, Milena
name: Yasseri, Taha
name: Pescetelli, Niccolo
name: Werner, Tobias
Publisher: name: arXiv
Year: 2024
Subjects: subject: Social and Information Networks (cs.SI)
subject: Computers and Society (cs.CY)
subject: Human-Computer Interaction (cs.HC)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: A.1; C.2.4; H.1.2; J.4; K.4.0; K.6.0

description: From fake social media accounts and generative artificial intelligence chatbots to trading algorithms and self-driving vehicles, robots, bots and algorithms are proliferating and permeating our communication channels, social interactions, economic transactions and transportation arteries. Networks of multiple interdependent and interacting humans and intelligent machines constitute complex social systems for which the collective outcomes cannot be deduced from either human or machine behaviour alone. Under this paradigm, we review recent research and identify general dynamics and patterns in situations of competition, coordination, cooperation, contagion and collective decision-making, with context-rich examples from high-frequency trading markets, a social media platform, an open collaboration community and a discussion forum. To ensure more robust and resilient human-machine communities, we require a new sociology of humans and machines. Researchers should study these communities using complex system methods; engineers should explicitly design artificial intelligence for human-machine and machine-machine interactions; and regulators should govern the ecological diversity and social co-development of humans and machines.
description: 42 pages, 2 figures, 1 table
Investigation of Effect of E-Learning Readiness Levels of Academic Staff on Those of Universities.pdf
Creators: name: Demir, Ömer
Publisher: name: figshare
Year: 2017
Subjects: Education

description: Many universities today invest in e-learning programmes and train their employees for it. Despite these efforts,universities have not gained satisfactory results from such initiatives. Although there are many reasons for thisfailure, e-learning readiness is one that stands out. The e-learning readiness of university students has beencomprehensively studied, but almost no research has been conducted to investigate that of universities andacademic staff. So far, it has been understood that without an appropriate level of e-learning readiness, staff anduniversities are almost doomed to fail in this endeavour. Therefore, this study aims to examine how e-learningreadiness levels of academic staff influences those of universities. A total of 96 academic staff members comprised the participants of this study. Two different scales were used, one of which was developed by the researchers and administered to academic staff to measure the e-learning readiness levels of both academic staff and universities. The results revealed two statistically significant findings. To start with, it was revealed that self-confidence had a positive and statistically significant impact on e-learning in terms of resource support. Moreover, it was seen that educational needs towards e-learning had a negative and statistically significant impact on the same factor. Further findings and implications are also discussed in the paper.
CREP Direct Replication of Turri et al (2015): Statistics Support
Creators: name: Alexys Miller
name: Owens, James
name: Thong, Vanessa
name: Alvarez, Leslie Cramblet
name: Doyle, Michele
name: Hunter, Aspen
Publisher: name: OSF Registries
Year: 2019
Subjects: CREP
Epistemic Intuitions
Folk Epistemology
Justified True Belief
Knowledge
Replication

description: Here you can find materials that will help you analyze Turri et al (2015) direct replication data in R or SPSS.
Robust boundary Luttinger surfaces in topological band structures
Creators: name: Chen, Kai
name: Hosur, Pavan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The standard paradigm of topological phases posits that two phases with identical symmetries are separated by a bulk phase transition, while symmetry breaking provides a path in parameter space that allows adiabatic connection between the phases. Typically, if symmetry is broken only at the boundary, topological surface states become gapped, and single-particle surface properties no longer distinguish between the two phases. In this work, we challenge this expectation. We demonstrate that the single-particle surface Green's function contains zeros, or "Luttinger surfaces," which maintain the same bulk-boundary correspondence as topological surface states. Remarkably, these Luttinger surfaces persist under symmetry-breaking perturbations that destroy the surface states. Moreover, we point out that low-energy and surface theories, often used synonymously in discussions of (gapped) topological matter, are actually different, with the difference captured by the Luttinger surfaces.
Perturbative criteria for the ergodicity of interacting dissipative quantum lattice systems
Creators: name: Bertini, Lorenzo
name: De Sole, Alberto
name: Posta, Gustavo
name: Presilla, Carlo
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mathematical Physics (math-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences
subject: 81S22, 82C10, 81V74, 47B44

description: We introduce a class of quantum Markov semigroups describing the evolution of interacting quantum lattice systems, specified either as generic qudits or as fermions. The corresponding generators, which include both conservative and dissipative evolutions, are given by the superposition of local generators in the Lindblad form. Under general conditions, we show that the associated infinite volume dynamics is well defined and can be obtained as the strong limit of the finite volume dynamics. By regarding the interacting evolution as a perturbation of a non-interacting dissipative dynamics, we further obtain a quantitative criterion that yields the ergodicity of the quantum Markov semigroup together with the exponential convergence of local observables. The analysis is based on suitable a priori bounds on the resolvent equation which yield quantitive estimates on the evolution of local observables.
PLK4 phosphorylation of CP110 is required for efficient centriole assembly
Creators: name: Miseon Lee
name: Seo, Mi Young
name: Jaerak Chang
name: Deog Su Hwang
name: Kunsoo Rhee
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine

description: Centrioles are assembled during S phase and segregated into 2 daughter cells at the end of mitosis. The initiation of centriole assembly is regulated by polo-like kinase 4 (PLK4), the major serine/threonine kinase in centrioles. Despite its importance in centriole duplication, only a few substrates have been identified, and the detailed mechanism of PLK4 has not been fully elucidated. CP110 is a coiled-coil protein that plays roles in centriolar length control and ciliogenesis in mammals. Here, we revealed that PLK4 specifically phosphorylates CP110 at the S98 position. The phospho-resistant CP110 mutant inhibited centriole assembly, whereas the phospho-mimetic CP110 mutant induced centriole assembly, even in PLK4-limited conditions. This finding implies that PLK4 phosphorylation of CP110 is an essential step for centriole assembly. The phospho-mimetic form of CP110 augmented the centrosomal SAS6 level. Based on these results, we propose that the phosphorylated CP110 may be involved in the stabilization of cartwheel SAS6 during centriole assembly.
William H. Schneider
Creators: name: Leibowitch, Jacques (1942-2020)
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: 1 fichier (5 pages).
description: Autres destinataires : Jacques Reynes, Raymond Schinazi. Pièce jointe : extraits du chapitre III du livre de J. Leibowitch "Pour en finir avec le sida".
Testing Lorentz invariance of electrons with LHAASO observations of PeV gamma-rays from the Crab Nebula
Creators: name: Li, Chengyi
name: Ma, Bo-Qiang
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The Large High Altitude Air Shower Observatory~(LHAASO) recently reported the detection of gamma-ray emissions with energies up to $1.1~\textrm{PeV}$ from the Crab Nebula. Using the absence of vacuum Cherenkov effect by inverse-Compton electrons, we improve previous bounds to linear-order Lorentz invariance violation (LV) in the dispersion relations of electrons by $10^{4}$ times. We show that the LV effect on electrons is severely constrained, compatible with certain type of LV as expected by some models of quantum gravity~(QG), such as the string/D-brane inspired space-time foam. We argue that such models are supported by the Crab Nebula constraints from the LHAASO observations, as well as various LV phenomenologies for photons to date.
description: 6 latex pages, 1 figures, final version for publication
Computer-Controlled Raman Microspectroscopy (CC-Raman): A Method for the Rapid Characterization of Individual Atmospheric Aerosol Particles
Creators: name: Craig, Rebecca L.
name: Bondy, Amy L.
name: Ault, Andrew P.
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Space Science
subject: Cell Biology
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: Inorganic Chemistry

description: The ability of an atmospheric aerosol particle to impact climate by acting as a cloud condensation nucleus (CCN) or an ice nucleus (IN), as well as scatter and absorb solar radiation is determined by its physicochemical properties at the single particle level, specifically size, morphology, and chemical composition. The identification of the secondary species present in individual aerosol particles is important as aging, which leads to the formation of these species, can modify the climate relevant behavior of particles. Raman microspectroscopy has a great deal of promise for identifying secondary species and their mixing with primary components, as it can provide detailed information on functional groups present, morphology, and internal structure. However, as with many other detailed spectroscopic techniques, manual analysis by Raman microspectroscopy can be slow, limiting single particle statistics and the number of samples that can be analyzed. Herein, the application of computer-controlled Raman (CC-Raman) for detailed physicochemical analysis that increases throughput and minimizes user bias is described. CC-Raman applies automated mapping to increase analysis speed allowing for up to 100 particles to be analyzed in an hour. CC-Raman is applied to both laboratory and ambient samples to demonstrate its utility for the analysis of both primary and, most importantly, secondary components (sulfate, nitrate, ammonium, and organic material). Reproducibility and precision are compared to computer controlled-scanning electron microscopy (CCSEM). The greater sample throughput shows the potential for CC-Raman to improve particle statistics and advance our understanding of aerosol particle composition and mixing state, and, thus climate-relevant properties.
Additional file 10 of Stand carbon storage and net primary production in China’s subtropical secondary forests are predicted to increase by 2060
Creators: name: Jin, Jia
name: Xiang, Wenhua
name: Zeng, Yelin
name: Ouyang, Shuai
name: Zhou, Xiaolu
name: Hu, Yanting
name: Zhao, Zhonghui
name: Chen, Liang
name: Lei, Pifeng
name: Deng, Xiangwen
name: Wang, Hui
name: Liu, Shirong
name: Peng, Changhui
Publisher: name: figshare
Year: 2022
Subjects: subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: Additional file 10. Variation of monthly average temperature and precipitation in Hunan Province from 2000 to 2014.
Role of STRO-1 sorting of porcine dental germ stem cells in dental stem cell-mediated bone tissue engineering
Creators: name: Gorke Gurel Pekozer
name: Ramazanoglu, Mustafa
name: Schlegel, Karl Andreas
name: Kok, Fatma Nese
name: Kose, Gamze Torun
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Plant Biology

description: Stem cells of dental origin emerged as a new source for the regeneration of tissues with advantages mainly including non-invasive collection procedures and lack of ethical contraversies with their harvest or use. In this study, porcine TGSCs (pTGSCs) were isolated from mandibular third molar tooth germs of 6-month-old domestic pigs. This is the first study that reports the isolation and characterization of TGSCs from porcine third molars and their differentiation depending on STRO-1 expression. PTGSCs were sorted according to their STRO-1 expression as STRO-1(+) and STRO-1(−). Sorted and unsorted heterogenous cells (US) were characterized by their osteogenic, chondrogenic and adipogenic differentiation capabilities. STRO-1(+) cells exhibited a higher proliferation rate owing to their clonogenic properties. All three groups of cells were found differentiated into osteogenic lineage as shown by ALP activity, calcium deposition assay, detection of osteogenic mRNAs and, proteins and mineralization staining. According to differentiation analysis, STRO-1(+) cells did not show a better performance for osteogenesis compared to STRO-1(−) and US cells. This might indicate that STRO-1(+) cells might require a heterogeneous population of cells including STRO-1(−) in their niche to perform their proposed role in osteogenesis.
Chirped amplitude mode in photo-excited superconductors
Creators: name: Blommel, Thomas
name: Kaye, Jason
name: Murakami, Yuta
name: Gull, Emanuel
name: Golež, Denis
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Using a state-of-the-art numerical scheme, we show that the Higgs mode under excitation exhibits chirped oscillations and exponential decay when fluctuations are included. This is in stark contrast to conventional BCS collisionless dynamics which predict power-law decay and the absence of chirping. The chirped amplitude mode enables us to determine the local modification of the effective potential even when the system is in a long-lived prethermal state. We then show that this chirped amplitude mode is an experimentally observable quantity since the photoinduced (super)current in pump-probe experiments serves as an efficient proxy for the order parameter dynamics, including the chirped dynamics. Our result is based on the attractive Hubbard model using dynamical mean-field theory within the symmetry-broken state after a excitation across the superconducting gap. Since the collective response involves long timescales, we extend the hierarchical low-rank compression method for nonequilibrium Green's functions to symmetry-broken states and show that it serves as an efficient representation despite long-lived memory kernels.
ME R-CNN: Multi-Expert R-CNN for Object Detection
Creators: name: Lee, Hyungtae
name: Eum, Sungmin
name: Kwon, Heesung
Publisher: name: arXiv
Year: 2017
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: We introduce Multi-Expert Region-based Convolutional Neural Network (ME R-CNN) which is equipped with multiple experts (ME) where each expert is learned to process a certain type of regions of interest (RoIs). This architecture better captures the appearance variations of the RoIs caused by different shapes, poses, and viewing angles. In order to direct each RoI to the appropriate expert, we devise a novel "learnable" network, which we call, expert assignment network (EAN). EAN automatically learns the optimal RoI-expert relationship even without any supervision of expert assignment. As the major components of ME R-CNN, ME and EAN, are mutually affecting each other while tied to a shared network, neither an alternating nor a naive end-to-end optimization is likely to fail. To address this problem, we introduce a practical training strategy which is tailored to optimize ME, EAN, and the shared network in an end-to-end fashion. We show that both of the architectures provide considerable performance increase over the baselines on PASCAL VOC 07, 12, and MS COCO datasets.
description: IEEE Transactions on Image Processing
Optimal Bayesian design for model discrimination via classification
Creators: name: Hainy, Markus
name: Price, David J.
name: Restif, Olivier
name: Drovandi, Christopher
Publisher: name: arXiv
Year: 2018
Subjects: subject: Methodology (stat.ME)
subject: Computation (stat.CO)
subject: FOS: Computer and information sciences
subject: 62K99, 62P10, 62P12

description: Performing optimal Bayesian design for discriminating between competing models is computationally intensive as it involves estimating posterior model probabilities for thousands of simulated datasets. This issue is compounded further when the likelihood functions for the rival models are computationally expensive. A new approach using supervised classification methods is developed to perform Bayesian optimal model discrimination design. This approach requires considerably fewer simulations from the candidate models than previous approaches using approximate Bayesian computation. Further, it is easy to assess the performance of the optimal design through the misclassification error rate. The approach is particularly useful in the presence of models with intractable likelihoods but can also provide computational advantages when the likelihoods are manageable.
description: Major revision of previous version: use trees with cross-validation and random forests with out-of-bag predictions to estimate expected loss; training set-based loss estimates are not used anymore; a post-processing step utilising Gaussian process regression is added to the optimisation routine; examples were re-run; extensive reorganisation of contents
Additional file 1 of Stand carbon storage and net primary production in China’s subtropical secondary forests are predicted to increase by 2060
Creators: name: Jin, Jia
name: Xiang, Wenhua
name: Zeng, Yelin
name: Ouyang, Shuai
name: Zhou, Xiaolu
name: Hu, Yanting
name: Zhao, Zhonghui
name: Chen, Liang
name: Lei, Pifeng
name: Deng, Xiangwen
name: Wang, Hui
name: Liu, Shirong
name: Peng, Changhui
Publisher: name: figshare
Year: 2022
Subjects: subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: Additional file 1. Age group classification standard of subtropical natural secondary forests in Hunan Province.
R mode oscillations ubiquitous in stars
Creators: name: Saio, Hideyuki
Publisher: name: arXiv
Year: 2018
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We discuss properties and examples of r-mode (large scale Rossby wave) oscillations in rotating stars. Motions are nearly toroidal but affected weakly by buoyancy. R modes seem to be excited mechanically in most cases, and ubiquitous in various types of rotating stars;e.g., fast rotating $γ$ Dor stars, spotted stars, eclipsing binary stars, Be stars, and accreting white dwarfs. In the Fourier spectrum of a star, even (i.e., symmetric to the equator) r modes of azimuthal order $m$ appear as a group of frequencies just below $m$ times the rotation frequency. From this property, a rotation frequency can be determined if r modes are detected. We discuss r modes in KIC8462852 (Boyajian's star), KIC9117875 (Am star), KIC6128830 (HgMn star), and the accreting white dwarf in the dwarf nova GW Lib.
description: Submitted as part of the proceedings of the Physics of Oscillating Stars Conference in honour of Professor Hiromoto Shibahashi, Banyuls-sur-mer, France, 2-7 September, eds. J.Ballot, S. Vauclair & G. Vauclair; 6 pages, 8 figures
Topology of Discrete Quantum Feedback Control
Creators: name: Nakagawa, Masaya
name: Ueda, Masahito
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A general framework for analyzing the topology of quantum channels of single-particle systems is developed to find a class of genuinely dynamical topological phases that can be realized by means of discrete quantum feedback control. We provide a symmetry classification of quantum channels by identifying ten symmetry classes of discrete quantum feedback control with projective measurements. We construct various types of topological feedback control by using topological Maxwell demons that achieve robust feedback-controlled chiral or helical transport against noise and decoherence. Topological feedback control thus offers a versatile tool for creating and controlling nonequilibrium topological phases in open quantum systems that are distinct from non-Hermitian and Lindbladian systems and should provide a guiding principle for topology-based design of quantum feedback control.
description: 43 pages, 24 figures. v2: new results and discussions added. v3: published version