cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Cytotoxic pregnane glycosides from Monolluma quadrangula (Forssk.)
Creators: name: Ismail, Ghada A.
name: Mostafa, Mohamed E.
name: Mubarak, Ahmed Y.
name: Dawidar, AbelAziz M.
name: Abdel-Mogib, Mamdouh
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Cell Biology
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
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Monolluma quadrangula (Forssk.) is a medicinal succulent plant belonging to the family Apocynaceae. The phytochemical examination of M. quadrangula methanolic extract resulted in isolation of three unique new pregnane glycosides, quadrangulosides G-I (1-3), their structures were elucidated utilising 1D, 2D NMR and ESI MS spectral studies. Pure sixteen isolated pregnane glycosides from M. quadrangula were tested for cytotoxicity against breast cancer cell lines (MCF-7) and colon cancer cell lines (HCT-116), using MTT assay and doxorubicin as a positive control. From these compounds russelioside B and quadranguloside E displayed the most potent cytotoxic effect with IC50 values of 0.18, 0.22 μM and 0.56 and 0.12 μM, respectively.
An analysis of E-learning system challenges in engineering education: an empirical study
Creators: name: Matarneh, Sandra
name: AlQaraleh, Lubna
name: Alkhrissat, Tariq
name: Abdel-Jaber, Mutasim
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Mental Health

description: This study investigated the impact of the e-learning system on engineering education in Jordan. It employs a multifaceted approach utilizing a structured survey to collect engineering students’ and academics’ experiences and viewpoints. The primary focus is to analyze the difficulties and consequences of shifting to e-learning learning, understand their impact from both academic and practical standpoints, and formulate measures to improve the education system. The analysis included demographics, challenge identification, interrelationship examination, and strategic initiative development, with the data analyzed using a quantitative method of Partial Least Squares- Structural Equation Modelling (PLS-SEM). The findings indicate varied effects of e-learning across demographics and underscore that the most impactful challenges of e-learning in engineering education across various demographics are identified as a deficiency in productivity, inadequate online teaching tools, lack of in-person interaction, health concerns due to screen exposure, and deficiency in motivation. Conversely, the least impactful challenges are limited internet connectivity, outdated curriculum structures, financial barriers, a shortage of technological facilities, and ignorance of students ‘ diverse levels and abilities. Finally, this study highlights the interconnected nature of these challenges and the necessity of holistic solutions by developing a powerful strategy to achieve a sustainable environment for the e-learning system at educational institutions in Jordan. The research examines the influence of e-learning on engineering education in Jordan, using a systematic survey to collect insights and perspectives from students and faculty. The research seeks to examine the problems and ramifications of e-learning, assess their effects from both academic and practical viewpoints, and formulate strategies to enhance the education system. The data were analysed via Partial Least Squares-Structural Equation Modelling (PLS-SEM). The results indicate that the primary challenges include productivity deficits, insufficient online instructional resources, absence of face-to-face engagement, health risks associated with screen exposure, and motivational difficulties. The challenges with the least influence include inadequate internet access, obsolete curricular frameworks, budgetary constraints, a deficiency in technology resources, and a lack of awareness about pupils’ varied capabilities. The research underscores the need for comprehensive solutions and a sustainable e-learning framework within Jordan’s educational establishments
REBALANCE D5.3 Policy Roadmap and Policy Guide
Creators: name: Hachette, Maxime
name: L'Hostis, Alain
Publisher: name: Zenodo
Year: 2022

description: This report details how REBALANCE aims to re-shape the current mobility culture towards a new culture that better meets the inherent values of the European population while addressing the environmental, energy, social and economic challenges it may face. The objective of this report is to elaborate a Policy Roadmapfollowing the Policy Guide through a back-casting exercise, where the transport and mobility future envisaged in WP4 (the Needs and Hopes of the Future / The Vision) will be set out and, throughout the task, the policies, and programs connecting the envisaged future to the present, as described in WP3 (The Language of the Present / The Claim), will be identified.

A relevant Policy Roadmap suggesting reviewed and updated Policy Guidance will be defined combining soft/hard & short-term/long-term policies: reflected in softpolicies such as better information, communication, and education (“nudges”), as well as regulatory changes, key incentives and subsidies. Changes in the official Cost-Benefit Analysis guides and other impact assessment methods will be proposed to European institutions and authorities responsible for transport and mobility-relatedinitiatives. As an outcome of the back-casting exercise, the policy roadmap consists in a set of concrete policy measures and their associated timelines targeting theproposed strategy of task 5.2 (Guidance for infrastructure and investment policies).

The policy roadmap integrates additional policy guidance that develops the political process necessary to complete the strategy. The roadmap was elaborated by involving, in a collaborative workshop and through a series of surveys, not only 8 members of the REBALANCE project but also 12 international experts from different backgrounds and profiles (scientists, decision-makers, stakeholders, private partners, associations…). The result represents a certain consensus, but also generates extensive discussions and further debate on a number of topics.
EXPLORING CONSISTENT SPATIO-TEMPORAL DISTORTION AND STABLE 3-D DCT COEFFICIENTS FOR ROBUST BLIND VIDEO WATERMARKING
Creators: Fei Zhang
Hongxia Wang
Mingze He
Ling Yang
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: With the rapid development of mobile Internet and video applications, robust video watermarking technology has become a focal area of research for protecting and tracking intellectual property rights in digital media. An important characteristic of video is that it has both spatial and temporal properties. Previous studies in video watermarking have primarily focused on either spatial or temporal distortions and did not uniformly consider all types of video distortion, which restricts the robustness of video watermarking. In this paper, a novel robust blind video watermarking is proposed by exploring consistent spatio-temporal distortion and stable 3-D DCT coefficients. Our method achieves stronger robustness by uniformly treating the spatial and temporal distortions of the video. The properties of the stable 3-D DCT coefficients are mathematically proved, which makes the scheme generalizable. Extensive experiments have demonstrated that our method is resistant to video compression (H.264/AVC, H.265/HEVC) attacks, geometric attacks, and temporal domain attacks, and outperforms the current state-of-the-art video watermarking schemes.
Additional file 1: Table DS1. of Development of a measure of model fidelity for mental health Crisis Resolution Teams
Creators: name: Brynmor Lloyd-Evans
name: Bond, Gary
name: Ruud, Torleif
name: Ivanecka, Ada
name: Gray, Richard
name: Osborn, David
name: Nolan, Fiona
name: Henderson, Claire
name: Mason, Oliver
name: Goater, Nicky
name: Kelly, Kathleen
name: Ambler, Gareth
name: Morant, Nicola
name: Onyett, Steve
name: Lamb, Danielle
name: Fahmy, Sarah
name: Brown, Ellie
name: Paterson, Beth
name: Sweeney, Angela
name: Hindle, David
name: Fullarton, Kate
name: Frerichs, Johanna
name: Johnson, Sonia
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: CORE CRT concept mapping: participant ratings â   summary scores. (DOCX 21Â kb)
Rhinobaticae
Creators: name: Yennawar, Prasanna
name: Mohapatra, Anil
name: Tudu, Prasad Chandra
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Chondrichthyes
Rajiformes
Rhinobaticae

description: Family: Rhinobaticae (Guitar fish)
17. Rhina ancylostoma Bloch & Schneider, 1801
18. Rhinobatos annandalei Norman, 1926
19. Rhynchobatus djeddensis (Forsskal, 1775)
20. Rhinobatus grannulatus (Cuvier, 1829)
21. Rhinobatus lionotus Norman, 1926
22. Rhina obtusus Muller & Henle, 1841
description: Published as part of Yennawar, Prasanna, Mohapatra, Anil & Tudu, Prasad Chandra, 2017, An account of Ichthyofauna of Digha coast, West Bengal, pp. 4 in Records of the Zoological Survey of India 117 (1) on page 4, DOI: 10.26515/rzsi/v117/i1/2017/117289, http://zenodo.org/record/10913757
Replication Dynamics, Pathogenicity, and Evolution of Influenza Viruses in Caco-2 Cells
Creators: name: Elbashir, Israa
Publisher: name: Manara - Qatar Research Repository
Year: 2024
Subjects: classificationCode: 42
subject: Health sciences
subject: FOS: Health sciences

description: Influenza virus is a major etiologic agent for respiratory illnesses, affecting 5-30% of global population annually, leading to high number of deaths and hospitalizations. Influenza virus primarily infects epithelial cells of respiratory tracts and cause respiratory and systemic symptoms. In considerable number of patients, infections with influenza viruses have been associated with gastrointestinal symptoms such as diarrhea, vomiting, and abdominal pain. Moreover, up to 20.6 % of influenza-infected patients shed the virus in feces. Therefore, direct infection of intestinal cells with the influenza virus is suspected, but the mechanism of this infection is not clear. This study examined the adaptation ability of and evolution of two influenza A subtypes (A/H3N2 and A/H1N1pdm 09) and one influenza B virus (B/Yamagata) in human Caucasian colon adenocarcinoma cells (Caco-2). The impact of these viruses in Caco-2 cells expression of cellular hormones and cytokines was assessed. All three influenza viruses used in this study were able to replicate in Caco-2 cells with H3N2 virus adapting faster than H1N1 virus and IBV. The expression of hormone and cytokines in Caco-2 cells was considerably different between the three viruses and among the passages, however a pattern of induction was observed at late phase of infection (48 hr post infection). Deep sequencing analysis revealed number of amino acid substitutions in HA protein of H3N2 and H1N1 viruses, these substitutions were mostly in the antigenic site. Moreover, studying the virus evolution at the quasispecies level based on HA protein revealed that H3N2 and H1N1 harbored more diverse virus populations when compared to IBV, indicating their higher evolution within Caco-2 cells. The findings of this study indicate differential replication, pathogenicity and evolution of H1N1 and H3N2 viruses in intestinal cells. This study was limited to only one cell line and few subsets of viruses and, hence, a further larger study including in vivo experiments is needed to further explain the gastrointestinal complication of influenza infection.
Noisy-ArcMix: Additive Noisy Angular Margin Loss Combined With Mixup for Anomalous Sound Detection
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Unsupervised anomalous sound detection (ASD) aims to identify anomalous sounds by learning the features of normal operational sounds and sensing their deviations. Recent approaches have focused on the self-supervised task utilizing the classification of normal data, and advanced models have shown that securing representation space for anomalous data is important through representation learning yielding compact intra-class and well-separated intra-class distributions. However, we show that conventional approaches often fail to ensure sufficient intra-class compactness and exhibit angular disparity between samples and their corresponding centers. In this paper, we propose a training technique aimed at ensuring intra-class compactness and increasing the angle gap between normal and anomalous samples. Furthermore, we present an architecture that extracts features for important temporal regions, enabling the model to learn which time frames should be emphasized or suppressed. Experimental results demonstrate that the proposed method achieves the best performance giving 0.90%, 0.83%, and 2.16% improvement in terms of AUC, pAUC, and mAUC, respectively, compared to the state-of-the-art method on DCASE 2020 Challenge Task2 dataset.
MOESM3 of Establishing a reference array for the CS-αβ superfamily of defensive peptides
Creators: name: D. Tarr
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Neuroscience
subject: Biotechnology
subject: Evolutionary Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases
subject: 60506 Virology

description: Additional file 3: Table S2. Representative CS-αβ sequences used for phylogenetic analysis. Accession numbers are shown for each sequence used in the analysis. The “Tree Label” column corresponds to the names shown in Fig. 2 and 3. The “Sequences Represented” column shows information for sequences excluded from the analysis based on similarity to the representative sequence. In cases where a sequence is represented by more than one accession number, the sequence used is shown in bold.
Additional file 2: Figure S1. of FRAMA: from RNA-seq data to annotated mRNA assemblies
Creators: name: Bens, Martin
name: Sahm, Arne
name: Groth, Marco
name: Jahn, Niels
name: Morhart, Michaela
name: Holtze, Susanne
name: Hildebrandt, Thomas
name: Platzer, Matthias
name: Szafranski, Karol
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: Computational Biology

description: Multiple sequence alignments of CALM1, CALM2 and CALM3 in human and NMR. (A) protein coding sequence (B) protein sequence. All protein coding sequences encode for the same protein sequence. The nucleotide identity between human and NMR orthologs is higher (97 % CALM1, 98 % CALM2, 95 % CALM3) than the intra-species paralog identity (e.g., human CALM1/CALM2 highest identity with 85 %). Figure S2. Recovery of transcripts is predicted by the expression level in the reference organism - (A) human liver, (B) human kidney. Public human Illumina RNA-seq data were obtained from the Short Read Archive at the EBI (accessions ERR030895 and ERR030893, respectively). Box plots show the human expression levels in log-scale FPKM; zero FPKM values were initially transformed to 0.80 times the lowest finite value. Human genes are displayed in three groups: all genes (“all”), genes recovered as orthologous NMR transcripts (“recovered”), and genes missing in the NMR transcript catalog (“missing”). Boxes enclose the data ranges of the central two-third quantiles, and central bars indicate the data medians. Note that the group-wise medians are significantly influenced by the fraction of zero-expression genes; these are 12 % in the liver-recovered group, 56 % in the liver-missing group, 7 % in the kidney-recovered group, and 49 % in the kidney-missing group. Figure S3. Results of structural agreement between transcript sets. The evaluation considered gene loci overlapping in the hetgla2 genome. Each transcript set was compared to TCUR. Figure S4. Classification of exons into four categories (exact, overlapping, missing and wrong) based on the reference transcript model. Exact exons share the same boundaries. Overlapping exons share base pairs, but not necessarily any boundary. Exons only present in the predicted transcript model are classified as wrong. Exons only present in the reference transcript model are classified as missing. (DOCX 841 kb)
Additional file 1: of Indicated school-based intervention to improve depressive symptoms among at risk Chilean adolescents: a randomized controlled trial
Creators: name: Gaete, Jorge
name: Martinez, Vania
name: Fritsch, Rosemarie
name: Rojas, Graciela
name: Montgomery, Alan
name: Araya, Ricardo
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Annex: Primary analysis with imputed data: recovery rate at 3 months (This table can be compared to TableÂ 2 in paper). (DOC 226 kb)
CST-FORMER: TRANSFORMER WITH CHANNEL-SPECTRO-TEMPORAL ATTENTION FOR SOUND EVENT LOCALIZATION AND DETECTION
Creators: Yusun Shul
Jung-Woo Choi
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Sound event localization and detection (SELD) is a task for the classification of sound events and the localization of direction of arrival (DoA) utilizing multichannel acoustic signals. Prior studies employ spectral and channel information as the embedding for temporal attention. However, this usage limits the deep neural network from extracting meaningful features from the spectral or spatial domains. Therefore, our investigation in this paper presents a novel framework termed the Channel-Spectro-Temporal Transformer (CST-former) that bolsters SELD performance through the independent application of attention mechanisms to distinct domains. The CSTformer architecture employs distinct attention mechanisms to independently process channel, spectral, and temporal information. In addition, we propose an unfolded local embedding (ULE) technique for channel attention (CA) to generate informative embedding vectors including local spectral and temporal information. Empirical validation through experimentation on the 2022 and 2023 DCASE Challenge task3 datasets affirms the efficacy of employing attention mechanisms separated across each domain and the benefit of ULE, in enhancing SELD performance.
Dasyatoidae
Creators: name: Yennawar, Prasanna
name: Mohapatra, Anil
name: Tudu, Prasad Chandra
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Chondrichthyes
Rajiformes
Dasyatoidae

description: Family: Dasyatoidae (Sting ray)
23. Dasyatis zugei (Muller & Henle, 1841)
24. Himantura bleekeri (Blyth, 1861)
25. Himantura gerrardi (Gray, 1851)
26. Himantura imbricata (Bloch & Schneider, 1801)
27. Himantura uarnak (Gmelin, 1789)
description: Published as part of Yennawar, Prasanna, Mohapatra, Anil & Tudu, Prasad Chandra, 2017, An account of Ichthyofauna of Digha coast, West Bengal, pp. 4 in Records of the Zoological Survey of India 117 (1) on page 4, DOI: 10.26515/rzsi/v117/i1/2017/117289, http://zenodo.org/record/10913757
MOESM5 of Establishing a reference array for the CS-αβ superfamily of defensive peptides
Creators: name: D. Tarr
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Evolutionary Biology
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: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 5: Table S4. CS-αβ sequences considered in this study. In cases where a sequence is represented by more than one accession number, the sequence used is shown in bold.
HEALTHY AGING IS MARKED BY ENTROPY REDUCTION IN CORTICAL SPONTANEOUS ACTIVITY
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Entropy trajectories remain unclear for the aging process of human brain system. We employed the open data from an accelerated longitudinal cohort (PREVENT-AD) including 24 healthy aging participants followed by 4 years with 5 visits per participant to establish the brain entropy aging curves and distinguish with the age and cohort effects. This reveals that global cortical entropy decreased with aging while a significant cohort effect was detectable that people who were born earlier showed higher entropy. Such entropy reduction were also evident for most of the large-scale networks although with different speeds for different networks: the primary and intermediate networks reduce their entropy faster than the higher-order transmodal networks. We conclude two specific brain entropy features with aging: the shift of the complexity hierarchy of networks and the diversity of complexity increases among networks.
title: Retrospective assessment of the effectiveness of monetary policy
Creators: name: Zmanovskiy, Artur
Publisher: name: Bank of Russia
Year: 2023
Subjects: subject: Economics and business
subject: FOS: Economics and business

description: The Bank of Russia has performed a retrospective analysis of the economic situation in the period of inflation targeting as part of its Monetary Policy Review. One of the objectives of the Monetary Policy Review is to establish the degree to which the current monetary policy is optimal in terms of social welfare. This analysis helps determine the timeliness of the Bank of Russia’s response to unexpected changes in economic conditions and to what extent the monetary policy it has followed has been in agreement with the stages of the business cycle.
The Rao, Wald, and Likelihood-Ratio Tests under Generalized Self-Concordance
Creators: Lang Liu
Zaid Harchaoui
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Three classical approaches to goodness-of-fit testing are Rao’s test, Wald’s test, and the likelihood-ratio test. The asymptotic equivalence of these three tests under the null hypothesis is a famous connection in statistical detection theory. We revisit these three likelihood-related tests from a non-asymptotic viewpoint under self-concordance assumptions. We recover the equivalence of the three tests and characterize the critical sample size beyond which the equivalence holds asymptotically. We also investigate their behavior under local alternatives. Along the way, we establish an estimation bound that matches the misspecified Cramér-Rao lower bound. We illustrate the interest of our results using generalized linear models and score matching with exponential families.
Gymnuridae
Creators: name: Yennawar, Prasanna
name: Mohapatra, Anil
name: Tudu, Prasad Chandra
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Chondrichthyes
Rajiformes
Gymnuridae

description: Family: Gymnuridae (Buttfly ray)
28. Gymnura tentaclata Muller & Henle, 1841
29. Gymnura japonica (Temminck & Schlegel, 1850)
30. Gymnura poecilura (Shaw, 1804)
description: Published as part of Yennawar, Prasanna, Mohapatra, Anil & Tudu, Prasad Chandra, 2017, An account of Ichthyofauna of Digha coast, West Bengal, pp. 4 in Records of the Zoological Survey of India 117 (1) on page 4, DOI: 10.26515/rzsi/v117/i1/2017/117289, http://zenodo.org/record/10913757
CPAUG: REFINING COPY-PASTE AUGMENTATION FOR SPEECH ANTI-SPOOFING
Creators: Linjuan Zhang
Kong Aik Lee
Lin Zhang
Longbiao Wang
Baoning Niu
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Conventional copy-paste augmentations generate new training instances by concatenating existing utterances to increase the amount of data for neural network training. However, the direct application of copy-paste augmentation for anti-spoofing is problematic. This paper refines the copy-paste augmentation for speech anti-spoofing, dubbed CpAug, to generate more training data with rich intra-class diversity. The CpAug employs two policies: concatenation to merge utterances with identical labels, and substitution to replace segments in an anchor utterance. Besides, considering the impacts of speakers and spoofing attack types, we craft four blending strategies for the CpAug. Furthermore, we explore how CpAug complements the Rawboost augmentation method. Experimental results reveal that the proposed CpAug significantly improves the performance of speech anti-spoofing. Particularly, CpAug with substitution policy leads to relative improvements of 43% and 38% on the ASVspoof’ 19LA and 21LA, respectively. Notably, the CpAug and Rawboost synergize effectively, achieving an EER of 2.91% on ASVspoof’ 21LA.
title: Ретроспективная оценка оптимальности ДКП
Creators: name: Змановский, Артур
Publisher: name: Банк России
Year: 2023
Subjects: subject: Economics and business
subject: FOS: Economics and business

description: В рамках Обзора денежно-кредитной политики Банк России проводит ретроспективный анализ экономической ситуации в период таргетирования инфляции (ИТ). Одной из задач Обзора является определение степени оптимальности проводившейся денежно-кредитной политики (ДКП) с точки зрения общественного благосостояния. Такой анализ позволит определить, насколько своевременно Банк России реагировал на неожиданные изменения в экономической среде и в какой степени проводившаяся ДКП соответствовала фазам делового цикла.
Microphorella Becker
Creators: name: Brooks, Scott E.
name: Cumming, Jeffrey M.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Dolichopodidae
Microphorella

description: Microphorella Becker
Microphorella Becker, 1909: 28.
Type species: Microphorus praecox Loew, 1864, by original designation.
Diagnosis. Southern Hemisphere Microphorella can be distinguished from other parathalassiines by the following suite of characters (similar to the diagnosis of Australasian Microphorella given in Brooks & Cumming 2022): head with face broad, subequal to wider than combined width of antennal bases, or strongly narrowed ventrally (e.g., males of M. amorimi sp. nov.), gena weakly developed to moderately broad, antenna with arista-like stylus not lengthened (about 3X length of postpedicel or shorter) (Figs 6, 15), mouthparts directed ventrally, palpus narrowly ovate (Fig. 6), subtriangular, or broadly clavate and flattened (Fig. 26); thorax with prosternum fused to proepisternum and forming precoxal bridge, scutellum with 1 pair of strong setae near apex; wing with vein M 2 and cell dm present (Figs 8, 17), vein R 1 reaching costa beyond or (rarely) just before base of M 2, cell cua convex apically, vein CuA + CuP short to absent, anal lobe barely developed; male terminalia with right epandrial lamella lacking ventral process, cerci including hypoproct nearly symmetrical and pointed to highly asymmetrical (Fig. 21); female abdomen with apical segments retractable into segment 5 or 6, syntergite 9+10 divided and bearing acanthophorous setae (Fig. 22) or acanthophorous spines (Fig. 13), cercus relatively broad, with apex pointed or broadly rounded, with or without long apical seta(e).
Remarks. Cumming & Brooks (2019) recognized five distinct species groups of Microphorella from the Southern Hemisphere, including the two species, each in their own group, described below from the Neotropical Region (Chile) and the Afrotropical Region (South Africa). The three other species groups occur in Australia and Southeast Asia, including New Guinea (Brooks & Cumming 2022). All four species included in the Microphorella malaysiana species group, which occurs in Southeast Asia and New Guinea, are treated in this paper even though the distribution of some species extends north of the equator. Worldwide the genus is known from various riparian, meadow and coastal habitats (Cumming & Brooks 2019).
description: Published as part of Brooks, Scott E. & Cumming, Jeffrey M., 2023, The first Neotropical and Afrotropical species of Microphorella Becker, with a key to the genera of Parathalassiinae and species of Microphorella from the Southern Hemisphere (Diptera: Dolichopodidae sensu lato), pp. 581-593 in Zootaxa 5301 (5) on page 582, DOI: 10.11646/zootaxa.5301.5.5, http://zenodo.org/record/8036257
Myliobatidae
Creators: name: Yennawar, Prasanna
name: Mohapatra, Anil
name: Tudu, Prasad Chandra
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Chondrichthyes
Rajiformes
Myliobatidae

description: Family: Myliobatidae (Eagle rays)
31. Aetobatus narinari (Euphrasen, 1790)
32. Aetomylaeus nichofill (Bloch & Schneider, 1801)
description: Published as part of Yennawar, Prasanna, Mohapatra, Anil & Tudu, Prasad Chandra, 2017, An account of Ichthyofauna of Digha coast, West Bengal, pp. 4 in Records of the Zoological Survey of India 117 (1) on page 4, DOI: 10.26515/rzsi/v117/i1/2017/117289, http://zenodo.org/record/10913757
Additional file 1: Table S1. of Reliability of molecular host-identification methods for ticks: an experimental in vitro study with Ixodes ricinus
Creators: name: Léger, Elsa
name: Xiangye Liu
name: Masseglia, Sébastien
name: Noël, Valérie
name: Vourc’h, Gwenaël
name: Bonnet, Sarah
name: McCoy, Karen
Publisher: name: Figshare
Year: 2015
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Number of ticks measured in each treatment group of the experiment. Table S2. Description of statistical models used to analyse the influence of host type (“host”), time post-moult (“moult”), tick life stage (“stage”), bloodmeal life stage (“bloodmeal”) and method as explanatory fixed variable and tick as a random nested factor on detection threshold, detection rate and tick size. N gives the number of ticks included in each analysis. “Maximal model” gives the complete set of explanatory variables tested (and their interactions) included in the model. “Minimal model” gives the model containing only the significant variables and their interactions. (DOCX 16 kb)
SICRN: Advancing Speech Enhancement through State Space Model and Inplace Convolution Techniques
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Speech enhancement aims to improve speech quality and intelligibility, especially in noisy environments where background noise degrades speech signals. Currently, deep learning methods achieve great success in speech enhancement, e.g. the representative convolutional recurrent neural network (CRN) and its variants. However, CRN typically employs consecutive downsampling and upsampling convolution for frequency modeling, which destroys the inherent structure of the signal over frequency. Additionally, convolutional layers lacks of temporal modelling abilities.  To address these issues, we propose an innovative module combing a State space model and Inplace Convolution (SIC), and to replace the conventional convolution in CRN, called SICRN. Specifically, a dual-path multidimensional State space model captures the global frequencies dependency and long-term temporal dependencies. Meanwhile, the 2D-inplace convolution is used to capture the local structure, which abandons the downsampling and upsampling. Systematic evaluations on the public INTERSPEECH 2020 DNS challenge dataset demonstrate SICRN's efficacy. Compared to strong baselines, SICRN achieves performance close to state-of-the-art while having advantages in model parameters, computations, and algorithmic delay. The proposed SICRN shows great promise for improved speech enhancement.
Jogos Digitais e seus mundos imaginários: delineando trilhas com diferentes olhares
Creators: name: Alves, Lynn
name: Nery Filho, Jesse
Publisher: name: RE@D - Revista de Educação a Distância e Elearning
Year: 2024

description: Os jogos digitais emergem como objetos de investigação complexos, multifacetados e multirreferenciais, exigindo diferentes olhares para compreender esse artefato cultural em distintos campos do saber.


Nesse contexto, convidamos os leitores a interagirem com os vinte e dois artigos produzidos por pesquisadores de universidades brasileiras, portuguesas e canadenses. Esses artigos evidenciam a necessidade e a importância de investigar e atribuir significado aos jogos digitais e analógicos como objetos de pesquisa sérios e multirreferenciais.
description: RE@D - Revista de Educação a Distância e Elearning, Vol.7 Nº 2 (2024): jul-dez
Additional file 4: Table DS4. of Development of a measure of model fidelity for mental health Crisis Resolution Teams
Creators: name: Brynmor Lloyd-Evans
name: Bond, Gary
name: Ruud, Torleif
name: Ivanecka, Ada
name: Gray, Richard
name: Osborn, David
name: Nolan, Fiona
name: Henderson, Claire
name: Mason, Oliver
name: Goater, Nicky
name: Kelly, Kathleen
name: Ambler, Gareth
name: Morant, Nicola
name: Onyett, Steve
name: Lamb, Danielle
name: Fahmy, Sarah
name: Brown, Ellie
name: Paterson, Beth
name: Sweeney, Angela
name: Hindle, David
name: Fullarton, Kate
name: Frerichs, Johanna
name: Johnson, Sonia
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology

description: Scoring of fidelity items in the CORE CRT Fidelity Scale inter-rater reliability exercise. (DOCX 21Â kb)
Federated PAC-Bayesian Learning on Non-IID Data
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Existing research has either adapted the Probably Approximately Correct (PAC) Bayesian framework for federated learning (FL) or used information-theoretic PAC-Bayesian bounds while introducing their theorems, but few consider the non-IID challenges in FL. Our work presents the first non-vacuous federated PAC-Bayesian bound tailored for non-IID local data. This bound assumes unique prior knowledge for each client and variable aggregation weights. We also introduce an objective function and an innovative Gibbs-based algorithm for the optimization of the derived bound. The results are validated on real-world datasets.
MOESM2 of Establishing a reference array for the CS-αβ superfamily of defensive peptides
Creators: name: D. Tarr
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Science Policy
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 2: Table S1. Antimicrobial activity of CS-αβ peptides. Peptides are listed in alphabetical order by species within major taxonomic groups. The activity column lists activity against Gram-positive bacteria (G+), Gram-negative bacteria (G−), filamentous fungi (F), yeast (Y), and protozoa (P), as well as cytotoxic (C) and hemolytic (H) activity. The peptide has the activity shown if the abbreviation is shown without parentheses, and has been tested but not shown to have the activity if shown in parentheses. If a dominant activity has been determined, the abbreviation is shown in bold; any activity not shown has not been tested for that peptide.
Sphyrnidae
Creators: name: Yennawar, Prasanna
name: Mohapatra, Anil
name: Tudu, Prasad Chandra
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Chondrichthyes
Rajiformes
Sphyrnidae

description: Family: Sphyrnidae (Hammer headed shark)
33. Sphyrna lewini (Griffith & Smith, 1834)
description: Published as part of Yennawar, Prasanna, Mohapatra, Anil & Tudu, Prasad Chandra, 2017, An account of Ichthyofauna of Digha coast, West Bengal, pp. 4 in Records of the Zoological Survey of India 117 (1) on page 4, DOI: 10.26515/rzsi/v117/i1/2017/117289, http://zenodo.org/record/10913757
Additional file 1: of Bivariate genome-wide association study identifies novel pleiotropic loci for lipids and inflammation
Creators: name: Symen Ligthart
name: Vaez, Ahmad
name: Yi-Hsiang Hsu
name: Stolk, Ronald
name: AndrĂŠ Uitterlinden
name: Hofman, Albert
name: Behrooz Alizadeh
name: Franco, Oscar
name: Dehghan, Abbas
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: Space Science
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
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: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Study-specific Methods Section for the Replication Section. Table S1. Replication Results for C-Reactive Protein. Table S2. Replication Results for lipids. Table S3. Proxy variants for the Single Nucleotide Polymophisms not Available on the Metabochip Array. (DOCX 30 kb)
BRIDGING THE GAP: A SELF-LEARNING MODEL USING IMPLICIT KNOWLEDGE FOR CHINESE SPELLING CORRECTION
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Chinese Spelling Correction (CSC) is a challenging and essential task in natural language processing. In this study, we introduces a new method for Chinese Spelling Correction (CSC) that addresses three unattended areas in prior studies. Firstly, we use an Implicit Knowledge Extraction Network to overcome limitations of conventional methods that rely on explicit knowledge alone. Secondly, we use KL divergence to limit the effect of incorrect characters on semantic understanding, ensuring consistent meaning. Finally, we employ a Cor-Det framework rather than the traditional Det-Cor framework, offering more consistent learning objectives. Tests on three SIGHAN benchmarks show this method significantly surpassing baseline models, highlighting the crucial role of implicit knowledge in Chinese Spelling Correction tasks.
Additional file 3: Table DS3. of Development of a measure of model fidelity for mental health Crisis Resolution Teams
Creators: name: Brynmor Lloyd-Evans
name: Bond, Gary
name: Ruud, Torleif
name: Ivanecka, Ada
name: Gray, Richard
name: Osborn, David
name: Nolan, Fiona
name: Henderson, Claire
name: Mason, Oliver
name: Goater, Nicky
name: Kelly, Kathleen
name: Ambler, Gareth
name: Morant, Nicola
name: Onyett, Steve
name: Lamb, Danielle
name: Fahmy, Sarah
name: Brown, Ellie
name: Paterson, Beth
name: Sweeney, Angela
name: Hindle, David
name: Fullarton, Kate
name: Frerichs, Johanna
name: Johnson, Sonia
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Plant Biology
subject: FOS: Biological sciences

description: Changes to the CORE CRT Fidelity Scale post-piloting. (DOCX 16Â kb)
Adaptive  speech emotion representation learning based on dynamic graph
Creators: Yingxue Gao
Huan Zhao
Zixing Zhang
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Graph representation learning has become a hot research topic due to its powerful nonlinear fitting capability in extracting representative node embeddings. However, for sequential data such as speech signals, most traditional methods merely focus on the static graph created within a sequence, and largely overlook the intrinsic evolving patterns of these data. This may reduce the efficiency of graph representation learning for sequential data. For this reason, we propose an adaptive graph representation learning method based on dynamically evolved graphs, which are consecutively constructed on a series of subsequences segmented by a sliding window. In doing this, it is better to capture local and global context information within a long sequence. Moreover, we introduce a weighted approach to update the node representation rather than the conventional average one, where the weights are calculated by a novel matrix computation based on the degree of neighboring nodes. Finally, we construct a learnable graph convolutional layer that combines the graph structure loss and classification loss to optimize the graph structure. To verify the effectiveness of the proposed method, we conducted experiments for speech emotion recognition on the IEMOCAP and RAVDESS datasets. Experimental results show that the proposed method outperforms the latest (non-)graph-based models.
HUBERTOPIC: ENHANCING SEMANTIC REPRESENTATION OF HUBERT THROUGH SELF-SUPERVISION UTILIZING TOPIC MODEL
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Recently, the usefulness of self-supervised representation learning (SSRL) methods has been confirmed in various downstream tasks. Many of these models, as exemplified by HuBERT and WavLM, use pseudo-labels generated from spectral features or the model’s own representation features. From previous studies, it is known that the pseudo-labels contain semantic information. However, the masked prediction task, the learning criterion of HuBERT, focuses on local contextual information and may not make effective use of global semantic information such as speaker, theme of speech, and so on. In this paper, we propose a new approach to enrich the semantic representation of HuBERT. We apply topic model to pseudo-labels to generate a topic label for each utterance. An auxiliary topic classification task is added to HuBERT by using topic labels as teachers. This allows additional global semantic information to be incorporated in an unsupervised manner. Experimental results demonstrate that our method achieves comparable or better performance than the baseline in most tasks, including automatic speech recognition and five out of the eight SUPERB tasks. Moreover, we find that topic labels include various information about utterance, such as gender, speaker, and its theme. This highlights the effectiveness of our approach in capturing multifaceted semantic nuances.
Megalopidae
Creators: name: Yennawar, Prasanna
name: Mohapatra, Anil
name: Tudu, Prasad Chandra
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Actinopterigii
Elopiformes
Megalopidae

description: Family: Megalopidae (Tarpons)
34. Megalops cypricides (Broussonet, 1782)
description: Published as part of Yennawar, Prasanna, Mohapatra, Anil & Tudu, Prasad Chandra, 2017, An account of Ichthyofauna of Digha coast, West Bengal, pp. 4 in Records of the Zoological Survey of India 117 (1) on page 4, DOI: 10.26515/rzsi/v117/i1/2017/117289, http://zenodo.org/record/10913757
CALSeg: Improving Calibration of Medical Image Segmentation with Variational Label Smoothing
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: In practical medical image segmentation tasks, ensuring confidence calibration is crucial. However, medical image segmentation typically relies on hard labels (one-hot vectors), and
when minimizing the cross-entropy loss, the model’s softmax predictions are compelled to align with hard labels, resulting in over-confident predictions. To alleviate above problems, this study proposes a novel framework on calibration of medical image segmentation, called CALSeg. The Variational Label Smoothing (VLS) method is innovatively proposed, which
learns the latent joint distribution of images and labels through variational inference to capture complex relationships between images and labels. This enables the effective estimation of latent soft labels by learning pixel-level information and semantic probability distribution features. The training of a neural network based on estimated soft labels provides a regularization effect, effectively preventing model overfitting and improving the calibration of the model. Comprehensive experiments on two medical image segmentation datasets demonstrate that CALSeg achieved optimal network calibration while also improving segmentation accuracy
ASSESSMENT OF MEDICAL STUDENT'S PERCEPTIONS AND KNOWLEDGE REGARDING REFRACTIVE ERRORS AND ITS CORRECTION METHODS: A CROSS-SECTIONAL STUDY
Creators: name: Dr. Kokila Priya R
name: Dr. Sri Divya D
name: Dr. Subha. L
Publisher: name: Zenodo
Year: 2024

description: Abstract

PURPOSE: To assess the level of knowledge and attitude towards refractive errors and its corrective methods including refractive surgery among medical and paramedical students. MATERIALS AND METHODS: This cross-sectional study was conducted at a private medical college in South India on 330 medical and paramedical students in October 2023. Data was collected  by employing a pre tested structured questionnaire. RESULTS: Most participants were aware of common refractive errors such as myopia(49.2%), hyperopia(17.3%), astigmatism(9.1%). Students perceptions of correction methods were  glasses(23.3%), glasses and contact lenses(65.9%).Our study showed 221 had refractive errors. Myopia (72.2%) was the most prevalent refractive error and  preferred correction method was spectacles (66.7%) due to ease of use(48.9%). 29.8% Of students have not tried contact lenses but would consider so in future when adequate knowledge regarding contact lenses are provided. Refractive surgery was well known to the participants.74% of them were aware of it and 39.9% of them were willing to have it done. LASIK(32.8%) was the most familiar surgical intervention followed by LASEK(9.3%) and SMILE(8.6%).The most stated reason for unwillingness to undergo surgery was fear of complications(46.8%). The majority of interviewees (27.6%) stated that their primary sources of information were lectures or courses.CONCLUSION:The research indicated that medical and paramedical students exhibited a commendable understanding and positive outlook towards managing refractive errors. The majority expressed a preference for spectacles due to their perceived convenience. Conversely, contact lenses were largely avoided by students due to apprehensions surrounding their advantages and disadvantages, with most showing little inclination to explore them in the future. Moreover, students displayed limited familiarity with refractive surgeries and hesitancy towards undergoing such procedures due to lack of adequate knowledge. It is advisable for a healthcare professional to impart thorough knowledge about various available correction methods and offer guidance to the individuals with refractive error.