cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Self-directed learning in the translation classroom: an investigation to the relationship between self-directed learning and translator competence
Creators: name: Owatnupat, Nutthaporn
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: In recent years, there has been increasing pressure to change the approaches to the way translation is taught so that student translators can develop a wide range ofskills that will enable them to work efficiently and professionally upon graduation. In this dissertation, self-directed learning is introduced as a generic competence to support the acquisition of translator competence. Students are expected to acquire both translator competence and useful general competencies applicable to the translation services and any jobs that they may pursue upon graduation. The theoretical framework for the translation pedagogy underpinning this research study incorporated elements from experiential learning (Dewey, 1938/1963), social constructivism to translator education (Kiraly, 2000), and self-directed learning approach (Grow, 1991). In terms of the teaching procedures and activities, a project based learning experience where students worked on an authentic project for a client was implemented. This pedagogy aimed to establish a dynamic teaching and learning process to encourage students to work collaboratively and to engage in translation practices similar to those experienced by professional translators. A mixed-methods approach was selected for this study to enable data triangulation in order to strengthen the validity and reliability of the results. The main finding in this study indicated that the SDL intervention was an effective teaching/ learning approach to increase self-directedness and translator competence in students. SDL personality traits had a positive correlation to translator competence as they empowered the students to carry out the translation project competently, professionally, and independently as individual learners and as members of a team. Grow's Staged Self-Directed Learning model (1991) appeared to be suitable and applicable with the translation process used in carrying out the authentic translation project. This intervention was particularly appropriate for translation students undertaking translation courses as part of their second/foreign language degree programmes and students with a low level of self-direction.
title: ADCO, Comptes du Petit-Cîteaux (1477-1491) (11 H 1179), f. 00234
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Archives Départementales De La Côte D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CBMA/CG21/F.PETOT/2019
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: cartulaire
subject: comptes
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Comptes du Petit-Cîteaux (1477-1491), Archives départementales de la Côte-d'Or, (11 H 1179). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Comptes du Petit-Cîteaux (1477-1491), Archives départementales de la Côte-d'Or, (11 H 1179), f. 00234, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: http://www.wikidata.org/entity/Q843261
Analyzing Rotational and Translational Dynamics of a Supercooled Liquid of Diatomic Molecules
Creators: name: Collins, Collin
Publisher: name: Zenodo
Year: 2024

description: We probe the relaxation dynamics of a liquid of diatomic molecules near the glass-transition temperature. This numerical simulation measures translational and orientational relaxation and introduces a novel time-dependent orientational autocorrelation function.
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space
Creators: name: Yap, Pew-Thian
name: Shen, Dinggang
name: Lin, Weili
name: Zhang, Yong
name: Dong, Bin
name: Chen, Geng
Publisher: name: Institute of Electrical and Electronics Engineers (IEEE)
Year: 2019

description: Diffusion magnetic resonance imaging (DMRI) suffers from lower signal-to-noise-ratio (SNR) due to MR signal attenuation associated with the motion of water molecules. To improve SNR, the non-local means (NLM) algorithm has demonstrated state-of-the-art performance in noise reduction. However, existing NLM algorithms do not take into account explicitly the fact that DMRI signal can vary significantly with local fiber orientations. Applying NLM naïvely can hence blur subtle structures and aggravate partial volume effects. To overcome this limitation, we improve NLM by performing neighborhood matching in non-flat domains and removing noise with information from both x-space (spatial domain) and q-space (wavevector domain). Specifically, we first encode the q-space sampling domain using a graph. We then perform graph framelet transforms to extract robust rotation-invariant features for each sampling point in x-q space. The resulting features are employed for robust neighborhood matching to locate recurrent information. Finally, we remove noise via an NLM framework. To adapt to the various types of noise in multi-coil MR imaging, we transform the signal before denoising so that it is Gaussian-distributed, allowing noise removal to be carried out in an unbiased manner. Our method is able to more effectively locate recurrent information in white matter structures with different orientations, avoiding the blurring effects caused by naïvely applying NLM. Experiments on synthetic, repetitively-acquired, and infant DMRI data demonstrate that our method is able to preserve subtle structures while effectively removing noise.
Development of Dynamic Functional Architecture during Early Infancy
Creators: name: Yin, Weiyan
name: Wen, Xuyun
name: Lin, Weili
name: Wang, Rifeng
name: Zhang, Han
name: Shen, Dinggang
Publisher: name: Oxford University Press (OUP)
Year: 2020

description: Uncovering the moment-to-moment dynamics of functional connectivity (FC) in the human brain during early development is crucial for understanding emerging complex cognitive functions and behaviors. To this end, this paper leveraged a longitudinal resting-state functional magnetic resonance imaging dataset from 51 typically developing infants and, for the first time, thoroughly investigated how the temporal variability of the FC architecture develops at the "global" (entire brain), "mesoscale" (functional system), and "local" (brain region) levels in the first 2 years of age. Our results revealed that, in such a pivotal stage, 1) the whole-brain FC dynamic is linearly increased; 2) the high-order functional systems tend to display increased FC dynamics for both within- and between-network connections, while the primary systems show the opposite trajectories; and 3) many frontal regions have increasing FC dynamics despite large heterogeneity in developmental trajectories and velocities. All these findings indicate that the brain is gradually reconfigured toward a more flexible, dynamic, and adaptive system with globally increasing but locally heterogeneous trajectories in the first 2 postnatal years, explaining why infants have rapidly developing high-order cognitive functions and complex behaviors.
Additional file 2 of Benchmarking of computational error-correction methods for next-generation sequencing data
Creators: name: Mitchell, Keith
name: Brito, Jaqueline J.
name: Mandric, Igor
name: Wu, Qiaozhen
name: Knyazev, Sergey
name: Chang, Sei
name: Martin, Lana S.
name: Karlsberg, Aaron
name: Gerasimov, Ekaterina
name: Littman, Russell
name: Hill, Brian L.
name: Wu, Nicholas C.
name: Yang, Harry Taegyun
name: Hsieh, Kevin
name: Chen, Linus
name: Littman, Eli
name: Shabani, Taylor
name: Enik, German
name: Yao, Douglas
name: Sun, Ren
name: Schroeder, Jan
name: Eskin, Eleazar
name: Zelikovsky, Alex
name: Skums, Pavel
name: Pop, Mihai
name: Mangul, Serghei
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Plant Biology

description: Additional file 2. Review history.
The safety and tolerability of alkaloids from Alstonia scholaris leaves in healthy Chinese volunteers: a single-centre, randomized, double-blind, placebo-controlled phase I clinical trial
Creators: name: Gou, Zhong-Ping
name: Zhao, Yun-Li
name: Zou, Lin-Ling
name: Wang, Ying
name: Shu, Shi-Qing
name: Zhu, Xiao-Hong
name: Zheng, Li
name: Shen, Qi
name: Luo, Zhu
name: Miao, Jia
name: Wang, Yong-Sheng
name: Luo, Xiao-Dong
name: Feng, Ping
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Physical Sciences not elsewhere classified
subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Capsule of alkaloids from the leaf of Alstonia scholaris (L.) R.Br. (Apocynaceae) (CALAS) is a new investigational botanical drug (No. 2011L01436) for bronchitis, post-infectious cough and asthma. To observe the clinical safety and tolerability of CALAS. Subjects were assigned to eight cohorts, and each received randomly CALAS or placebo in one of single ascending dose (SAD) of 8, 40, 120, 240, 360, 480, or in one of multiple ascending dose (MAD) of 40 or 120 mg, three times daily for 7 days. Each cohort contained two placebo subjects. Sixty-two enrolled volunteers completed the study and no serious adverse events and clinically significant changes in vital signs, electrocardiography, and upper abdominal Doppler ultrasonography were observed. The ratios of treatment-emergent adverse events (TEAEs) were reported in 11/46 (23.91%) of CALAS groups and 3/16 (18.75%) of the placebo group (p > 0.05), respectively, based on the results of SAD and MAD. All TEAEs were mild, transient, and disappeared without any intervention. The TEAEs possibly related to CALAS treatment were as followings: hiccups (4/46: 8%), dry mouth and nausea (3/46: 6%), increased sleep (2/46: 4%), abdominal distension (1/46: 2%), bilirubin elevated (1/46: 2%). CALAS is safe and well-tolerated with no unexpected or clinically relevant safety concerns up to a single dose of 360 mg and three times daily for 7 days up to 120 mg in healthy Chinese volunteers, supporting further Phase II studies.
Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI
Creators: name: Shen, Dinggang
name: Zhang, Han
name: Rekik, Islem
name: An, Zhiyong
name: Zhao, Feng
Publisher: name: Frontiers
Year: 2018

description: Functional brain networks derived from resting-state functional magnetic resonance imaging (rs-fMRI) have been widely used for Autism Spectrum Disorder (ASD) diagnosis. Typically, these networks are constructed by calculating functional connectivity (FC) between any pair of brain regions of interest (ROIs), i.e., using Pearson's correlation between rs-fMRI time series. However, this can only be called as a low-order representation of the functional interaction, because the relationship is investigated just between two ROIs. Brain disorders might not only affect low-order FC, but also high-order FC, i.e., the higher-level relationship among multiple brain regions, which might be more crucial for diagnosis. To comprehensively characterize such relationship for better diagnosis of ASD, we propose a multi-level, high-order FC network representation that can nicely capture complex interactions among brain regions. Then, we design a feature selection method to identify those discriminative multi-level, high-order FC features for ASD diagnosis. Finally, we design an ensemble classifier with multiple linear SVMs, each trained on a specific level of FC networks, for boosting the final classification accuracy. Experimental results show that the integration of both low-order and first-level high-order FC networks achieves the best ASD diagnostic accuracy (81%). We further investigated those selected discriminative low-order and high-order FC features and found that the high-order FC features can provide complementary information to the low-order FC features in the ASD diagnosis.
PeV neutrinos from local magnetars
Creators: name: Dey, Rajat K.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The paper estimates the flux of PeV neutrinos from magnetar polar caps, assuming that ions/protons are injected, and accelerated in these regions and interact with the radiative background. The present study takes into account the effect of the photon splitting mechanisms that should modify the radiative background, and enhance the neutrino flux at PeV energies, with a view to explain the PeV neutrino events detected in IceCube. The results indicate that in near future, a possibility of any significant excess of neutrino events from a magnetar in Milky Way is extremely low.
description: 4 pages, XXII DAE-BRNS Symposium 2016, Accepted in Springer's proceedings in Physics
Additional file 1 of Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study
Creators: name: Li, Yuanyuan
name: Yang, Yan
name: Zhao, Aonan
name: Luo, Ningdi
name: Niu, Mengyue
name: Kang, Wenyan
name: Xie, Anmu
name: Lu, Hong
name: Chen, Lei
name: Liu, Jun
Publisher: name: figshare
Year: 2022
Subjects: subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer

description: Additional file 1: Table S1. Plasma levels of 10 inflammatory markers of the discovery cohort. Table S2. The ability of combined discovery markers for the diagnosis of PD. Table S3. Clinical characteristic PD participants from five centers. Table S4. Plasma levels of four inflammatory markers of the validation cohort. Table S5. Evaluation of four biomarkers for progression of MMSE. Table S6. Evaluation of four biomarkers for progression of NMSQ. Table S7. Evaluation of four biomarkers for progression of SCOPA-AUT. Table S8. Evaluation of four biomarkers for progression of SS-16. Table S9. Evaluation of four biomarkers for progression of RBDSQ.
Discriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis
Creators: name: Suk, Heung-Il
name: Lee, Seong-Whan
name: Shen, Dinggang
name: Zhu, Xiaofeng
Publisher: name: Springer Nature
Year: 2017

description: In this paper, we propose a novel feature selection method by jointly considering (1) ‘task-specific’ relations between response variables (e.g., clinical labels in this work) and neuroimaging features and (2) ‘self-representation’ relations among neuroimaging features in a sparse regression framework. Specifically, the task-specific relation is devised to learn the relative importance of features for representation of response variables by a linear combination of the input features in a supervised manner, while the self-representation relation is used to take into account the inherent information among neuroimaging features such that any feature can be represented by a weighted sum of the other features, regardless of the label information, in an unsupervised manner. By integrating these two different relations along with a group sparsity constraint, we formulate a new sparse linear regression model for class-discriminative feature selection. The selected features are used to train a support vector machine for classification. To validate the effectiveness of the proposed method, we conducted experiments on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset; experimental results showed superiority of the proposed method over the state-of-the-art methods considered in this work.
Additional file 1 of The prevalence and mechanism of triclosan resistance in Escherichia coli isolated from urine samples in Wenzhou, China
Creators: name: Zeng, Weiliang
name: Xu, Wenya
name: Xu, Ye
name: Liao, Wenli
name: Zhao, Yajie
name: Zheng, Xiangkuo
name: Xu, Chunquan
name: Zhou, Tieli
name: Cao, Jianming
Publisher: name: figshare
Year: 2020
Subjects: subject: Biophysics
subject: Biochemistry
subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Additional file 1: Table S1. The primers used in this study. Table S2. The relative gene expression in E. coli ATCC 25922 and the field triclosan resistant isolates. Table S3. The relative gene expression in the triclosan-resistant induced Escherichia coli isolates.
α-Amylase and dipeptidyl peptidase-4 (DPP-4) inhibitory effects of Melicope latifolia bark extracts and identification of bioactive constituents using in vitro and in silico approaches
Creators: name: Quek, Alexandra
name: Kassim, Nur Kartinee
name: Lim, Pei Cee
name: Tan, Dai Chuan
name: Latif, Muhammad Alif Mohammad
name: Ismail, Amin
name: Shaari, Khozirah
name: Awang, Khalijah
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biochemistry
subject: Space Science
subject: Pharmacology
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
subject: Cancer

description: Melicope latifolia (DC.) T. G. Hartley (Rutaceae) was reported to contain various phytochemicals including coumarins, flavonoids, and acetophenones. This study investigates the antidiabetic and antioxidant effects of M. latifolia bark extracts, fractions, and isolated constituents. Melicope latifolia extracts (hexane, chloroform, and methanol), fractions, and isolated constituents with varying concentrations (0.078–10 mg/mL) were subjected to in vitro α-amylase and dipeptidyl peptidase-4 (DPP-4) inhibitory assay. Molecular docking was performed to study the binding mechanism of active compounds towards α-amylase and DPP-4 enzymes. The antioxidant activity of M. latifolia fractions and compounds were determined by 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging and β-carotene bleaching assays. Melicope latifolia chloroform extract showed the highest antidiabetic activity (α-amylase IC50: 1464.32 μg/mL; DPP-4 IC50: 221.58 μg/mL). Fractionation of chloroform extract yielded four major fractions (CF1–CF4) whereby CF3 showed the highest antidiabetic activity (α-amylase IC50: 397.68 μg/mL; DPP-4 IC50: 37.16 μg/mL) and resulted in β-sitosterol (1), halfordin (2), methyl p-coumarate (3), and protocatechuic acid (4). Isolation of compounds 2–4 from the species and their DPP-4 inhibitory were reported for the first time. Compound 2 showed the highest α-amylase (IC50: 197.53 μM) and β-carotene (88.48%) inhibition, and formed the highest number of molecular interactions with critical amino acid residues of α-amylase. The highest DPP-4 inhibition was exhibited by compound 3 (IC50: 911.44 μM). The in vitro and in silico analyses indicated the potential of M. latifolia as an alternative source of α-amylase and DPP-4 inhibitors. Further pharmacological studies on the compounds are recommended.
Star-Gas Misalignment in Galaxies: II. Origins Found from the Horizon-AGN Simulation
Creators: name: Khim, Donghyeon J.
name: Yi, Sukyoung K.
name: Pichon, Christophe
name: Dubois, Yohan
name: Devriendt, Julien
name: Choi, Hoseung
name: Bryant, Julia J.
name: Croom, Scott M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: There have been many studies aiming to reveal the origins of the star-gas misalignment found in galaxies, but there still is a lack of understanding of the contribution from each formation channel candidate. We aim to answer the question by investigating the misaligned galaxies in Horizon-AGN, a cosmological large-volume simulation of galaxy formation. There are 27,903 galaxies of stellar mass $M_* > 10^{10} M_\odot$ in our sample, of which 5,984 are in a group of the halo mass of $M_{200} > 10^{12} M_\odot$. We have identified four main formation channels of misalignment and quantified their level of contribution: mergers (35%), interaction with nearby galaxies (23%), interaction with dense environments or their central galaxies (21%), and secular evolution including smooth accretion from neighboring filaments (21%). We found in the simulation that the gas, rather than stars, is typically more vulnerable to dynamical disturbances; hence, misalignment formation is mainly due to the change in the rotational axis of the gas rather than stars, regardless of the origin. We have also inspected the lifetime (duration) of the misalignment. The decay timescale of the misalignment shows a strong anti-correlation with the kinematic morphology ($V/σ$) and the cold gas fraction of the galaxy. The misalignment has a longer lifetime in denser regions, which is linked with the environmental impact on the host galaxy. There is a substantial difference in the length of the misalignment lifetime depending on the origin, and it can be explained by the magnitude of the initial position angle offset and the physical properties of the galaxies.
description: 27 pages, 20 figures, 1 table. Submitted to ApJ Supplement. Comments are welcome
Rendering of cultural references: a case study of the films 300 and Gladiator : a thesis in audiovisual translation
Creators: name: Alrosan, Hayyan Hamed A.
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Language and culture have always been two sides of the same coin. In the field of translation, many studies have been conducted to illustrate the complex relationship between language and culture, as they bond tightly together and are deemed inseparable. However, with the proliferation of advanced technology such as the Internet, mass media, DVDs and satellite channels, people have become more exposed to other cultures. Therefore, it has become evident that Audiovisual Translation (AVT) is essential to bridge the communication gap between cultures. Subtitling is one of the dominant modes of AVT in the Middle East, yet only a few studies have been conducted in this domain. The main aims of this thesis are to identify the most common cultural references that occur in two American feature films, namely 300 and Gladiator; to detect the most dominant translation strategies applied by subtitlers in rendering these cultural references from English into Arabic; to determine the orientation of translation towards foreignisation or domestication in terms of loyalty to the source or target culture; and to verify the main factors which motivated subtitlers to opt for a certain strategy over another. The findings indicate that source language (SL)-oriented translation strategies are most common, and borrowing and direct translation are the most used strategies among other translation strategies. The genre of period dramas, and in particular sword-and-sandal films, transculturality and co-text have been the chief factors in the decision to favour one strategy over another. Finally, the selection of solutions in tackling cultural references has not been motivated by agency, but has been left to the arbitrary choices of subtitlers.
Distinct and sequential re-replication barriers ensure precise genome duplication
Creators: name: Cook, Jeanette Gowen
name: Oh, Seeun
name: Zhou, Yizhuo
name: Stone, Haley M.
name: Pozo, Pedro N.
Publisher: name: Public Library of Science (PLoS)
Year: 2020

description: Achieving complete and precise genome duplication requires that each genomic segment be replicated only once per cell division cycle. Protecting large eukaryotic genomes from re-replication requires an overlapping set of molecular mechanisms that prevent the first DNA replication step, the DNA loading of MCM helicase complexes to license replication origins, after S phase begins. Previous reports have defined many such origin licensing inhibition mechanisms, but the temporal relationships among them are not clear, particularly with respect to preventing re-replication in G2 and M phases. Using a combination of mutagenesis, biochemistry, and single cell analyses in human cells, we define a new mechanism that prevents re-replication through hyperphosphorylation of the essential MCM loading protein, Cdt1. We demonstrate that Cyclin A/CDK1 can hyperphosphorylate Cdt1 to inhibit MCM re-loading in G2 phase. The mechanism of inhibition is to block Cdt1 binding to MCM independently of other known Cdt1 inactivation mechanisms such as Cdt1 degradation during S phase or Geminin binding. Moreover, our findings suggest that Cdt1 dephosphorylation at the mitosis-to-G1 phase transition re-activates Cdt1. We propose that multiple distinct, non-redundant licensing inhibition mechanisms act in a series of sequential relays through each cell cycle phase to ensure precise genome duplication.
Magnetic and Hyperfine interactions in HoFe1-xCrxO3 compounds
Creators: name: Kotnana, Ganesh
name: Reddy, V. Raghavendra
name: Jammalamadaka, S. Narayana
Publisher: name: arXiv
Year: 2017
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: We report on the magnetic and Mossbauer properties of polycrystalline HoFe1-xCrxO3 compounds. Magnetization data reveals the continuous tailoring of magnetic transition due to weakening of Ho3+ Fe3+ and Fe3+ Fe3+ interactions in the entire temperature range by replacing the Fe3+ ions with Cr3+ ions. The observed decrease in Neel temperature (TN) and increase in spin re-orientation transition temperature (TSR) with the replacement of Fe3+ with Cr3+ is ascribed to the weakening of Fe(Cr) O Fe(Cr) antiferromagnetic exchange interaction. In addition, we also attribute such a change in TN to the enhancement of ferromagnetic interaction of adjacent Cr3+ moments through t e hybridization as a result of the structural distortion. The decrease in isomer shift (IS) suggests enhancement of the interaction between nuclear charge with the 3s electrons as a result of decrease in radial part of 3d wave function with Cr addition. In this paper we also discuss about the variation of quadrupole splitting (QS) and hyperfine fields (Hhf) with Cr addition in HoFe1-xCrxO3 compounds.
Theoretical and experimental study of triphenylphosphonium Schiff base of 5-hydroxy-3-methyl-1-phenyl-4-formylpyrazole
Creators: name: Borodkin, Sergey A.
name: Popov, Leonid D.
name: Tsaturyan, Arshak A.
name: Milenković, Milica R.
name: Shcherbakov, Igor N.
name: Lukov, Vladimir V.
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
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: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Cancer

description: The Schiff base (HLBr), containing a chelating unit and triphenylphosphonium moiety has been synthesized in the reaction of 4-aminobenzyl(triphenyl)phosphonium bromide with 5-hydroxy-3-methyl-1-phenyl-4-formylpyrazole. The composition and structure of HLBr have been determined by elemental analysis, IR, 1D and 2D NMR, electronic spectroscopy and mass spectrometry. Density functional theory (DFT) calculations (6-311G(d,p) level of theory) have been carried out to investigate tautomeric forms of HL+ and the reaction mechanism of its formation and spectral properties. The most stable form in the solid state and in DMSO solution is pyrazolone (keto-amine) tautomeric form.
$Z_3$ topological order in the quantum dimer-pentamer model
Creators: name: Myers, Owen
name: Herdman, C. M.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We introduce the quantum dimer-pentamer model (QDPM) on the square lattice. This model is a generalization of the square lattice quantum dimer model as its configuration space comprises fully-packed hard-core dimer coverings as well as dimer configurations containing pentamers, where four dimers touch a vertex. Thus in the QDPM, the fully-packed, hard-core constraint of the quantum dimer model is relaxed such that the local dimer number at each vertex is fixed modulo 3, resulting in an exact local $Z_3$ gauge symmetry. We construct a local Hamiltonian for which the Rokhsar-Kivelson (RK) equal superposition state is the exact ground state and has a 9-fold topological degeneracy on the torus. Using Monte Carlo calculations, we find no spontaneous symmetry breaking in the RK wavefunction and that its dimer-dimer correlation function decays exponentially. By doping the QDPM RK state with a pair of monomers, we demonstrate that $Z_3$ electric charges are deconfined. Additionally, we introduce a $Z_3$ magnetic string operator that we find decays exponentially and shows no signatures of magnetic vortex condensation and with correlations. These numerical results suggest that the ground state of the QDPM is a dimer liquid with $Z_3$ topological order.
description: 12 pages, 12 figures
Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning
Creators: name: Shen, Ting
name: Wu, Chuangxin
name: Jin, Feng
name: Huang, Yueqi
name: Wang, Jinhong
name: Yang, Yao
name: Zhou, Zhen
name: Zhang, Huifeng
name: Ding, Lei
name: Shen, Dinggang
name: Zhang, Han
name: Peng, Daihui
name: Qiu, Meihui
name: Hsu, Li-Ming
Publisher: name: Institute of Electrical and Electronics Engineers (IEEE)
Year: 2022

description: Distinguishing bipolar depression (BD) from unipolar depression (UD) based on symptoms only is challenging. Brain functional connectivity (FC), especially dynamic FC, has emerged as a promising approach to identify possible imaging markers for differentiating BD from UD. However, most of such studies utilized conventional FC and group-level statistical comparisons, which may not be sensitive enough to quantify subtle changes in the FC dynamics between BD and UD. In this paper, we present a more effective individualized differentiation model based on machine learning and the whole-brain "high-order functional connectivity (HOFC)" network. The HOFC, capturing temporal synchronization among the dynamic FC time series, a more complex "chronnectome" metric compared to the conventional FC, was used to classify 52 BD, 73 UD, and 76 healthycontrols (HC). We achieved a satisfactory accuracy (70.40%) in BD vs. UD differentiation. The resultant contributing features revealed the involvement of the coordinated flexible interactions among sensory (e.g., olfaction, vision, and audition), motor, and cognitive systems. Despite sharing common chronnectome of cognitive and affective impairments, BD and UD also demonstrated unique dynamic FC synchronization patterns. UD is more associated with abnormal visual-somatomotor inter-network connections, while BD is more related to impaired ventral attention-frontoparietal inter-network connections. Moreover, we found that the illness duration modulated the BD vs. UD separation, with the differentiation performance hampered by the secondary disease effects. Our findings suggest that BD and UD may have divergent and convergent neural substrates, which further expand our knowledge of the two different mental disorders.
Additional file 1 of The different dietary sugars modulate the composition of the gut microbiota in honeybee during overwintering
Creators: name: Wang, Hongfang
name: Liu, Chunlei
name: Liu, Zhenguo
name: Wang, Ying
name: Ma, Lanting
name: Xu, Baohua
Publisher: name: figshare
Year: 2020
Subjects: subject: Microbiology
subject: FOS: Biological sciences

description: Additional file 1: Figure S1. Rarefaction Curves of OTUs sampling depth.
DNASE1L3 enhances antitumor immunity and suppresses tumor progression in colon cancer
Creators: name: Xu, Xin
name: Shi, Min
name: Nakano, Keiko
name: Sil, Payel
name: Kitamura, Daisuke
name: Nakano, Hideki
name: Li, Wenling
name: Li, Yuanyuan
name: Fan, Wei
name: Fessler, Michael B.
name: Shats, Igor
name: Cook, Donald N.
name: Wan, Yisong
name: Li, Xiaoling
name: Karmaus, Peer W.
name: Zhao, Fei
name: Mizuta, Ryushin
name: Grimm, Sara A.
name: Li, Leping
Publisher: name: American Society for Clinical Investigation
Year: 2023

description: DNASE1L3, an enzyme highly expressed in DCs, is functionally important for regulating autoimmune responses to self-DNA and chromatin. Deficiency of DNASE1L3 leads to development of autoimmune diseases in both humans and mice. However, despite the well-established causal relationship between DNASE1L3 and immunity, little is known about the involvement of DNASE1L3 in regulation of antitumor immunity, the foundation of modern antitumor immunotherapy. In this study, we identify DNASE1L3 as a potentially new regulator of antitumor immunity and a tumor suppressor in colon cancer. In humans, DNASE1L3 is downregulated in tumor-infiltrating DCs, and this downregulation is associated with poor patient prognosis and reduced tumor immune cell infiltration in many cancer types. In mice, Dnase1l3 deficiency in the tumor microenvironment enhances tumor formation and growth in several colon cancer models. Notably, the increased tumor formation and growth in Dnase1l3-deficient mice are associated with impaired antitumor immunity, as evidenced by a substantial reduction of cytotoxic T cells and a unique subset of DCs. Consistently, Dnase1l3-deficient DCs directly modulate cytotoxic T cells in vitro. To our knowledge, our study unveils a previously unknown link between DNASE1L3 and antitumor immunity and further suggests that restoration of DNASE1L3 activity may represent a potential therapeutic approach for anticancer therapy.
Dynamic neural circuit disruptions associated with antisocial behaviors
Creators: name: Hu, Dewen
name: Shen, Dinggang
name: Zhang, Han
name: Jiang, Weixiong
name: Liu, Huasheng
name: Yap, Pew-Thian
name: Thung, Kim-Han
name: Shen, Hui
name: Wang, Wei
name: Zeng, Ling-Li
name: Qin, Jian
Publisher: name: Wiley
Year: 2020

description: Antisocial behavior (ASB) is believed to have neural substrates; however, the association between ASB and functional brain networks remains unclear. The temporal variability of the functional connectivity (or dynamic FC) derived from resting-state functional MRI has been suggested as a useful metric for studying abnormal behaviors including ASB. This is the first study using low-frequency fluctuations of the dynamic FC to unravel potential system-level neural correlates with ASB. Specifically, we individually associated the dynamic FC patterns with the ASB scores (measured by Antisocial Process Screening Device) of the male offenders (age: 23.29 ± 3.36 years) based on machine learning. Results showed that the dynamic FCs were associated with individual ASB scores. Moreover, we found that it was mainly the inter-network dynamic FCs that were negatively associated with the ASB severity. Three major high-order cognitive functional networks and the sensorimotor network were found to be more associated with ASB. We further found that impaired behavior in the ASB subjects was mainly associated with decreased FC dynamics in these networks, which may explain why ASB subjects usually have impaired executive control and emotional processing functions. Our study shows that temporal variation of the FC could be a promising tool for ASB assessment, treatment, and prevention.
Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis
Creators: name: Zhou, Tao
name: Thung, Kim-Han
name: Zhu, Xiaofeng
name: Shen, Dinggang
Publisher: name: Wiley
Year: 2018

description: In this article, the authors aim to maximally utilize multimodality neuroimaging and genetic data for identifying Alzheimer's disease (AD) and its prodromal status, Mild Cognitive Impairment (MCI), from normal aging subjects. Multimodality neuroimaging data such as MRI and PET provide valuable insights into brain abnormalities, while genetic data such as single nucleotide polymorphism (SNP) provide information about a patient's AD risk factors. When these data are used together, the accuracy of AD diagnosis may be improved. However, these data are heterogeneous (e.g., with different data distributions), and have different number of samples (e.g., with far less number of PET samples than the number of MRI or SNPs). Thus, learning an effective model using these data is challenging. To this end, we present a novel three-stage deep feature learning and fusion framework, where deep neural network is trained stage-wise. Each stage of the network learns feature representations for different combinations of modalities, via effective training using the maximum number of available samples. Specifically, in the first stage, we learn latent representations (i.e., high-level features) for each modality independently, so that the heterogeneity among modalities can be partially addressed, and high-level features from different modalities can be combined in the next stage. In the second stage, we learn joint latent features for each pair of modality combination by using the high-level features learned from the first stage. In the third stage, we learn the diagnostic labels by fusing the learned joint latent features from the second stage. To further increase the number of samples during training, we also use data at multiple scanning time points for each training subject in the dataset. We evaluate the proposed framework using Alzheimer's disease neuroimaging initiative (ADNI) dataset for AD diagnosis, and the experimental results show that the proposed framework outperforms other state-of-the-art methods.
Additional file 2 of The different dietary sugars modulate the composition of the gut microbiota in honeybee during overwintering
Creators: name: Wang, Hongfang
name: Liu, Chunlei
name: Liu, Zhenguo
name: Wang, Ying
name: Ma, Lanting
name: Xu, Baohua
Publisher: name: figshare
Year: 2020
Subjects: subject: Microbiology
subject: FOS: Biological sciences

description: Additional file 2: Figure S2. OTU abundances and taxonomic classifications within each group at different levels.
MOVPE growth, transmission electron microscopy and magneto-optical spectroscopy of individual InAsP/GaInP quantum dots
Creators: name: Del Pozo-Zamudio, O.
name: Puebla, J.
name: Krysa, A. B.
name: Toro, R.
name: Sanchez, A. M.
name: Beanland, R.
name: Tartakovskii, A. I.
name: Skolnick, M. S.
name: Chekhovich, E. A.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We report on growth and characterization of individual InAsP/GaInP quantum dots with variable nominal As molar fraction. Magneto-photoluminescence experiments reveal QD emission in a wide range from 1.3 to 1.8 eV confirming incorporation of As into quantum dots. Transmission electron microscopy reveals a core-cap structure of InAsP quantum dots with an InAs-rich core capped by an InP-rich layer. Inside the core, an As molar fraction up to x=0.12 is observed. The heavy hole g-factor is found to be strongly dependent on As molar fraction, while the electron g-factor is close to the InP values. This suggests type-II carrier confinement in the studied InAsP dots with holes (electrons) localized in the core (cap) region. Finally, dynamic nuclear polarization is observed which allows for further insight into structural properties using nuclear magnetic resonance.
Bersaldegenin-1,3,5-orthoacetate induces caspase-independent cell death, DNA damage and cell cycle arrest in human cervical cancer HeLa cells
Creators: name: Stefanowicz-Hajduk, Justyna
name: Gucwa, Magdalena
name: Moniuszko-Szajwaj, Barbara
name: Stochmal, Anna
name: Kawiak, Anna
name: Ochocka, J. Renata
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Bufadienolide compounds occur in many plants and animal species and have strong cardiac and anti-inflammatory properties. The compounds have been recently investigated for cytotoxic and antitumor activity. The cytotoxic effect of bersaldegenin-1,3,5-orthoacetate – a bufadienolide steroid occuring in plants from Kalanchoe genus (Crassulaceae), was evaluated with cervical cancer HeLa cells in vitro. The cytotoxic activity of the compound (at 0.1–20.0 μg/mL) on the cells was determined by Real-Time Cell Analysis (RTCA) system for 24 h. The estimation of cell cycle arrest, reactive oxygen species (ROS) production, reduction of mitochondrial membrane potential (MMP), and caspases-3/7/9 activity in the HeLa cells treated with the compound was done by flow cytometry and luminometric technique. DNA damage in the cells was estimated by immunofluorescence staining and the comet assay with etoposide as a positive control. The compound had strong effect on the cells (IC50 = 0.55 μg/mL) by the suppression of HeLa cells proliferation in G2/M phase of cell cycle and induction of cell death through double-stranded DNA damage and reactive oxygen species overproduction. Furthermore, we did not observe an increase in the activity of caspase-3/7/9 in the treated cells as well as a decrease in cellular mitochondrial membrane potential. Gene expression analysis revealed the overexpression of NF-Kappa-B inhibitors genes (>2-fold higher than control) in the treated cells. Bersaldegenin-1,3,5-orthoacetate induces cell cycle arrest and caspase-independent cell death through double-stranded DNA damage. These results are an important step in further studies on cell death signalling pathways induced by bufadienolides.
Crystal structure, antibacterial activity and nanoparticles of Cd(II) complex derived from dithiophosphonate ligand
Creators: name: Alireza Banaei
name: Saadat, Afshin
name: McArdle, Patrick
name: Goli, Mina Mohammad
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Cell Biology
subject: Molecular Biology
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

description: The binuclear complex of the type Cd2(HL)4 was isolated from the reaction of cadmium(II) nitrate and dithiophosphonate ligands of the type R1R2PSSH (R1 = CH3OC6H4 and R2 = (CH3)2CHCH2CH2O). The crystal structure of bis-{bis-[O-3-methylbutyl (4-methoxyphenyl) dithiophosphonato] cadmium(II)}, Cd2(HL)4, has been determined by means of single-crystal X-ray diffraction methods. The cadmium is tetra-coordinated structure and constitutes a nearly planar geometry with the atoms on the PS2 group of the ligand. The nanoparticles of the complex were also prepared by ultrasonication, and their SEM micrographs indicated identical spherical morphologies with particles sizes about 32–39 nm. The complex and ligand were additionally tested in view of their antibacterial properties. The cadmium(II) dithiophosphonato complex was found to be more active against E. coli and S. aureus than free ligand.
title: Mental Wellbeing in Distance Learning: Barriers, Enablers and Solutions
Creators: name: Lister, Kate
Publisher: name: The Open University
Year: 2022

description: Student mental wellbeing is a significant issue in higher education; increasing numbers of students are disclosing mental health difficulties, and statistics show persistent impacts on their study success. This is particularly critical in distance education; distance learners disclose mental health issues at a higher rate than campus-based students, they tend to study in isolation, and campus-based support is generally not available to them. Research has found that aspects of higher education can trigger or exacerbate mental health difficulties, but these ‘barriers’ to wellbeing are under-researched in distance learning. With increasing numbers of students studying remotely, it is crucial that the barriers to mental wellbeing within distance learning curricula, tuition, environments, and culture are understood, and that solutions to address these are identified. This study explored barriers and enablers to student mental wellbeing in a distance learning institution, and co-created solutions that could be embedded in practice. First, students (N=16) and tutors (N=5) were interviewed using narrative inquiry. Findings are represented as a taxonomy of barriers and enablers across three categories (study-related, skills-related, and environmental.) Second, focus groups were held with staff (N=107) and students (N=9). Collaboratively generated solution ideas were identified and were turned into 16 pilot project proposals, including staff training, additional resources for students and staff, and changes to practice. Third, seven solution ideas were piloted and evaluated as ‘praxis’ projects, using facilitated practitioner research. Fourth, surveys sought wider insight from students (N=584) and staff (N=666) on barriers and enablers to wellbeing, ideas for solutions, and perceptions of the solutions being piloted. Findings reveal different experiences of barriers and enablers according to student demographics, but that assessment and life circumstances were generally the most commonly experienced barriers and that staff training was the most popular piloted solution. The findings and outputs of this study are positioned as an agenda for change that makes a contribution to knowledge and practice, and can begin to pave the way towards more inclusive distance learning practice that is more conducive to student mental wellbeing.