cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Engineering the membrane rotor ring of ATP synthases involved in photosynthesis
Creators: name: Cheuk, Anthony
Publisher: name: Imperial College London
Year: 2023

description: The F-type ATP synthase is a macromolecular machine capable of coupling the proton-motive force with the synthesis of adenosine triphosphate, ATP, the universal energy currency in biology. A key component of the ATP synthase machinery is the cn-ring with a stoichiometry that is constant within a given species but varies across different species, presumably due to the different bioenergetic demands placed on an organism in various environments. The cn-ring stoichiometries of F-type ATP synthases involved in the light dependent reactions of photosynthesis are among the largest known, ranging from c13 to c15-rings. The recent increase in availability of genome-editing tools paves the way for investigating the importance of large cn-rings for photosynthesis. In this study, CRISPR-Cas12a genome editing is used to alter the stoichiometry of the cn-ring of the F-type ATP synthase found in the model cyanobacterium, Synechococcus sp. PCC 7002, by replacing the endogenous c-subunit gene, atpE, with the atpE gene from Spirulina platensis which natively possess a c15-ring. The native stoichiometry of the Synechococcus sp. PCC 7002 cn-ring was unknown but suspected to be in the range of 13 to 15 subunits. Electron cryo-microscopy was used to identify a native c14-ring stoichiometry in the wild-type organism and later confirm the formation of a chimeric F-type ATP synthase possessing all the native subunits of the Synechococcus sp. PCC 7002 enzyme with the exception of a c15-ring from Spirulina platensis. Functional comparisons between prepared spheroplasts of the wild-type and mutant strains showed a decreased ATP synthesis rate under high light for the mutant. Furthermore, the mutant strain showed improved growth in alkaline media. These findings highlight the potential for targeting cn-ring stoichiometries to improve photosynthesis.
Compressalges Dubinin 1950
Creators: name: Waki, Tsukasa
name: Shimano, Satoshi
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Sarcoptiformes
Caudiferidae
Compressalges

description: Genus Compressalges Dubinin, 1950
Type species: Compressalges nipponiae Dubinin, 1950, by original designation.
This genus includes only the type species. Within the family Caudiferidae, this genus clearly differs from two other genera, Caudifera Gaud & Mouchet, 1959 and Semicaudifera Gaud & Atyeo, 1996, in having the following features. In males of Compressalges, the opisthosoma is strongly narrowed posteriorly and with a pair of elongated opisthosomal lobes, the ventral side of opisthosoma has long epimerites IVa and adanal apodemes, and legs IV are hypertrophied; in females, the external copulatory tube is absent and the copulatory opening is situated terminally between setae ps1 (Dubinin 1950; Gaud & Atyeo 1996).
description: Published as part of Waki, Tsukasa & Shimano, Satoshi, 2022, Redescription of two parasitic feather mites sampled from the last two Crested Ibises, Nipponia nippon (Temminck, 1835) (Pelecaniformes: Threskiornithidae) lived in Japan, pp. 136-150 in Zootaxa 5116 (1) on page 138, DOI: 10.11646/zootaxa.5116.1.7, http://zenodo.org/record/6364386
Additional file 1: Table S1. of eRFSVM: a hybrid classifier to predict enhancers-integrating random forests with support vector machines
Creators: name: Huang, Fang
name: Jiawei Shen
name: Qingli Guo
name: Yongyong Shi
Publisher: name: Figshare
Year: 2016
Subjects: subject: Space Science
subject: Medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: The datasets for training of cell lines from ENCODE. Table S2. Results training on four cell lines. Table S3. The peaks of different tissues from Roadmaps. Table S4. The datasets for training of different tissues from Roadmap. Table S5. Results training on different tissues with ChIP-Seq datasets. Table S6. Results training on tissues with DEEP-FANTOM5. Table S7. Results training on tissues with sequence features. Table S8. Results training on tissues with DEEP-FANTOM5. (DOCX 20 kb)
Structure-based pharmacophore modelling for ErbB4-kinase inhibition: a systematic computational approach for small molecule drug discovery for breast cancer
Creators: name: Shaw, R.
name: Pratap, R.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Biophysics
Biochemistry
Physical Sciences not elsewhere classified
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer

description: ErbB2 kinase is a key target in approximately 20% of breast cancer cases; however, ErbB2-positive cells may shift their dependence to ErbB4 upon developing resistance to ErbB2 inhibitors. Targeting ErbB4 presents a viable strategy to address this challenge. This study employs a comprehensive approach combining structure-based pharmacophore modelling, molecular docking, and MM-GBSA calculations to identify novel ErbB4 kinase inhibitors. Critical pharmacophoric features were extracted from the crystal structures of ErbB4-lapatinib, followed by virtual screening of the Chembl database to discover potential small molecule candidates. Furthermore, the ADMET profiles of 11 shortlisted candidates were assessed to verify their pharmacokinetic and toxicity properties, identifying Chembl310724, Chembl521284, and Chembl4168686 as promising inhibitors of ErbB4 kinase activity with the binding free energy (ΔGbind) values of −99.84, −89.42 and −86.06 kcal/mol, respectively. This integrated methodology not only enhances our understanding of ErbB4 inhibition but also sets a foundation for the rational design of targeted therapies addressing breast cancer with ErbB4 dependency.
Simulating radiatively cooled pulsed-power driven systems using static mesh refinement
Creators: name: Chaturvedi, Nikita
Publisher: name: Imperial College London
Year: 2023

description: Radiative cooling is a ubiquitous process in several high energy density physics (HEDP) experiments, however numerical modelling of the final compressed state is often resolution-limited. This work presents the development of a static mesh refinement capability for use in the radiation-magnetohydrodynamics code, Chimera, in order to perform high resolution simulations of pulsed-power driven experiments. A block-based refinement strategy is used, where the grid is recursively split into blocks of equal number of cells, but at different resolutions. Each processor is allocated a single block, therefore all processors perform an equal number of computations, and load balancing is inherently achieved. The exchange of grid variables across different resolutions is performed via MPI communications. A novel algorithm is described for exchanging MHD variables in a constrained-transport solver, to maintain the divergence-free properties of the solution. Use of this capability is demonstrated on simulations of three systems: single wire Z-pinches, X-pinches (in wire and solid configurations), and magnetic reconnection using inverse wire arrays. A systematic study of single wire experiments on a 150 kA generator is performed in 1D, 2D, and 3D at equivalent high resolution. Simulations in 1D demonstrate the need to use EoS and transport models with condensed matter corrections to perform simulations with ‘cold-start’ initialisation. Simulations in 2D and 3D demonstrate the effect of MHD instabilities on hotspot formation. High resolution wire X-pinch simulations in 3D are presented that, for the first time, demonstrate the 3D asymmetries that arise at the crossing point due to wire offsets. 2D axisymmetric simulations of solid X pinch experiments are presented demonstrating extreme conditions reached at the core of the crossing point. Finally, 2D and 3D simulations of radiatively-cooled magnetic reconnection experiments performed on the Z facility are presented, that demonstrate the sensitivity of the reconnection dynamics to resolution and dimensionality.
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
Creators: name: Agarwal, Amit
name: Patel, Hitesh
name: Pattnayak, Priyaranjan
name: Panda, Srikant
name: Kumar, Bhargava
name: Kumar, Tejaswini
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences
subject: I.2.6; I.2.7; I.5.4; H.3.3; H.2.8; G.2.2

description: The development of robust Document AI models has been constrained by limited access to high-quality, labeled datasets, primarily due to data privacy concerns, scarcity, and the high cost of manual annotation. Traditional methods of synthetic data generation, such as text and image augmentation, have proven effective for increasing data diversity but often fail to capture the complex layout structures present in real world documents. This paper proposes a novel approach to synthetic document layout generation using Graph Neural Networks (GNNs). By representing document elements (e.g., text blocks, images, tables) as nodes in a graph and their spatial relationships as edges, GNNs are trained to generate realistic and diverse document layouts. This method leverages graph-based learning to ensure structural coherence and semantic consistency, addressing the limitations of traditional augmentation techniques. The proposed framework is evaluated on tasks such as document classification, named entity recognition (NER), and information extraction, demonstrating significant performance improvements. Furthermore, we address the computational challenges of GNN based synthetic data generation and propose solutions to mitigate domain adaptation issues between synthetic and real-world datasets. Our experimental results show that graph-augmented document layouts outperform existing augmentation techniques, offering a scalable and flexible solution for training Document AI models.
description: Published in IJERT, Volume 13, Issue 10 (October 2024)
title: Ð Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÑÐ±Ð°Ð½Ð¸ÑÑÐ¸ÐºÐ¸ Ð² Ð¾Ð±ÑÑÐµÐ½Ð¸Ð¸ Ð¸Ð½Ð¾ÑÑÑÐ°Ð½Ð½ÑÐ¼ ÑÐ·ÑÐºÐ°Ð¼
title: On the possibility of using educational urbanism in teaching foreign languages
Creators: name: ÐÐ²Ð°Ð½Ð¾Ð²Ð°, ÐÐºÐ°ÑÐµÑÐ¸Ð½Ð°
name: Ð¨Ð°ÑÐ¸Ð»Ð¾Ð²ÑÐºÐ¸Ðµ ÑÑÐµÐ½Ð¸Ñ
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2024
Subjects: Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½Ð°Ñ ÑÑÐ±Ð°Ð½Ð¸ÑÑÐ¸ÐºÐ°
ÑÑÐ±Ð°Ð½Ð¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¿ÑÐ¾ÑÑÑÐ°Ð½ÑÑÐ²Ð°
Ð¼ÑÐ»ÑÑÐ¸ÑÐµÐ½ÑÐ¾ÑÐ½Ð¾ÑÑÑ
Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ°Ñ ÐºÐ¾Ð¼Ð¿ÐµÑÐµÐ½ÑÐ¸Ñ
Ð¿ÑÐµÐ´Ð¼ÐµÑÐ½ÑÐµ ÐºÐ¾Ð¼Ð¿ÐµÑÐµÐ½ÑÐ¸Ð¸
ÑÑÐµÐ½Ð¸Ðº-Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»Ñ
ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð°Ð»ÑÐ½Ð°Ñ Ð³ÑÐ°Ð¼Ð¾ÑÐ½Ð¾ÑÑÑ
educational urbanism
urban spaces
multisensory
research competence
subject competences
student-researcher
functional literacy

description: Ð ÑÑÐ°ÑÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÑÐ±Ð°Ð½Ð¸ÑÑÐ¸ÐºÐ¸ Ð² Ð¿ÑÐ¾ÑÐµÑÑÐµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸Ð½Ð¾ÑÑÑÐ°Ð½Ð½ÑÐ¼ ÑÐ·ÑÐºÐ°Ð¼. ÐÐ¿Ð¸ÑÑÐ²Ð°ÑÑÑÑ Ð¸ÑÑÐ¾ÐºÐ¸ ÐµÐµ Ð¿Ð¾ÑÐ²Ð»ÐµÐ½Ð¸Ñ, Ð²ÑÐ´ÐµÐ»ÑÑÑÑÑ Ð¿ÑÐµÐ¸Ð¼ÑÑÐµÑÑÐ²Ð° Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¸ ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ð¸ Ð¸ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð¹ ÐºÐ¾Ð¼Ð¿ÐµÑÐµÐ½ÑÐ¸Ð¸, Ð¿ÑÐµÐ´Ð¼ÐµÑÐ½ÑÑ ÐºÐ¾Ð¼Ð¿ÐµÑÐµÐ½ÑÐ¸Ð¹, ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ Ð³ÑÐ°Ð¼Ð¾ÑÐ½Ð¾ÑÑÐ¸, Ð° ÑÐ°ÐºÐ¶Ðµ Ñ ÑÐµÐ»ÑÑ Ð²Ð¾ÑÐ¿Ð¸ÑÐ°Ð½Ð¸Ñ Ð¿Ð°ÑÑÐ¸Ð¾ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð»Ð¸ÑÐ½Ð¾ÑÑÐ¸.
description: The article examines the possibilities of using educational urbanism in the process of teaching foreign languages. The sources of its appearance are described, the advantages of its use in the formation and development of research competence, subject competences, functional literacy, as well as for the purpose of educating a patriotic personality are highlighted.
Discovery of novel pyrrolo[2,3-d]pyrimidine derivatives as anticancer agents: virtual screening and molecular dynamic studies
Creators: name: Dhiman, S.
name: Gupta, S.
name: Kashaw, S.K.
name: Chtita, S.
name: Kaya, S.
name: Almehizia, A.A.
name: Asati, V.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: CDK/Cyclins are dysregulated in several human cancers. Recent studies showed inhibition of CDK4/6 was responsible for controlling cell cycle progression and cancer cell growth. In the present study, atom-based and field-based 3D-QSAR, virtual screening, molecular docking and molecular dynamics studies were done for the development of novel pyrrolo[2,3-d]pyrimidine (P2P) derivatives as anticancer agents. The developed models showed good Q2 and r2 values for atom-based 3D-QSAR, which were equal to 0.7327 and 0.8939, whereas for field-based 3D-QSAR the values were 0.8552 and 0.6255, respectively. Molecular docking study showed good-binding interactions with amino acid residues such as VAL-101, HIE-100, ASP-104, ILE-19, LYS-147 and GLU-99, important for CDK4/6 inhibitory activity by using PDB ID: 5L2S. Pharmacophore hypothesis (HHHRR_1) was used in the screening of ZINC database. The top scored ZINC compound ZINC91325512 showed binding interactions with amino acid residues VAL-101, ILE-19, and LYS-147. Enumeration study revealed that the screened compound R1 showed binding interactions with VAL 101 and GLN 149 residues. Furthermore, the Molecular dynamic study showed compound R1, ZINC91325512 and ZINC04000264 having RMSD values of 1.649, 1.733 and 1.610 Å, respectively. These ZINC and enumerated compounds may be used for the development of novel pyrrolo[2,3-d]pyrimidine derivatives as anticancer agent.
Freyanopterolichus Dubinin 1953
Creators: name: Waki, Tsukasa
name: Shimano, Satoshi
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Sarcoptiformes
Kramerellidae
Freyanopterolichus

description: Genus Freyanopterolichus Dubinin, 1953
Type species: Freyanopterolichus nipponiae Dubinin, 1953, by original designation.
The genus Freyanopterolichus currently includes 10 species occurring on ibises (Threskiornithidae), storks (Ciconiidae), hamerkops (Scopidae) and cranes (Gruidae) (Trouessart & Mégnin, 1885; Dubinin 1953; Gaud & Mouchet, 1959; Gaud 1982a, 1982b). Within the family, this genus is clearly characterized by the following combination of characters. In both sexes, two internal vertical setae vi are present, epimerites I are free, the prodorsal shield is wide triangular and encompasses both pairs of scapular setae, the ambulacral discs of legs I are larger than those of legs II; in females, macrosetae h2 and h3 are long whip-like and usually dilated in basal part, the epigynum is situated between the extremities of epimerites I, and the oviporus is moved anterior and situated between levels of trochanters II and III.
description: Published as part of Waki, Tsukasa & Shimano, Satoshi, 2022, Redescription of two parasitic feather mites sampled from the last two Crested Ibises, Nipponia nippon (Temminck, 1835) (Pelecaniformes: Threskiornithidae) lived in Japan, pp. 136-150 in Zootaxa 5116 (1) on page 144, DOI: 10.11646/zootaxa.5116.1.7, http://zenodo.org/record/6364386
Analytic auxiliary mass flow to compute master integrals in singular kinematics
Creators: name: Fontana, Gaia
name: Gehrmann, Thomas
name: Schönwald, Kay
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The computation of master integrals from their differential equations requires boundary values to be supplied by an independent method. These boundary values are often desired at singular kinematical points. We demonstrate how the auxiliary mass flow technique can be extended to compute the expansion coefficients of master integrals in a singular limit in an analytical manner, thereby providing these boundary conditions. To illustrate the application of the method, we re-compute the phase space integrals relevant to initial-final antenna functions at NNLO, now including higher-order terms in their $ε$-expansion in view of their application in third-order QCD corrections.
description: 28 pages, 4 figures, v2-published version
MOESM3 of Effects of two kinds of imidazolium-based ionic liquids on the characteristics of steroid-transformation Arthrobacter simplex
Creators: name: Yanbing Shen
name: Lifang Wang
name: Jingting Liang
name: Tang, Rui
name: Wang, Min
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Plant Biology

description: Additional file 3. The identification of the [PrMIm]PF6-treated cells proteins.
Dark showers from Z-dark Z' mixing
Creators: name: Cheng, Hsin-Chia
name: Jiang, Xu-Hui
name: Li, Lingfeng
name: Salvioni, Ennio
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We discuss dark shower signals at the LHC from a dark QCD sector, containing GeV-scale dark pions. The portal with the Standard Model is given by the mixing of the Z boson with a dark Z' coupled to the dark quarks. Both mass and kinetic mixings are included, but the mass mixing is the essential ingredient, as it is the one mediating visible decays of the long-lived dark pions. We focus especially on the possibility that the dark Z' is lighter than the Z. Indirect constraints are dominated by electroweak precision tests, which we thoroughly discuss, showing that both Z-pole and low-energy observables are important. We then recast CMS and LHCb searches for displaced dimuon resonances to dark shower signals initiated by the production of on-shell Z or Z', where the visible signature is left by a dark pion decaying to $μ^+ μ^-$. We demonstrate how dark shower topologies have already tested new parameter space in Run 2, reaching better sensitivity on a light dark Z' compared to the flavor-changing decays of B mesons, which can produce a single dark pion at a time, and the electroweak precision tests.
description: 25 pages + appendices and references, 7 figures; v2: added one sentence and one reference on EWPT, matches published version
[''Las Monjas'' se Presentará Hoy y Mañana en el Teatro de ''La Cañada'']
Creators: name: Inconnu
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2024
Subjects: Théâtre
''Les Nonnes''

description: Présentation de la pièce ''Las Monjas'' (''Les Nonnes'') d’Eduardo Manet, mise en scène par Lisandro Selva, au Théâtre de La Cañada de Córdoba (Argentine).
description: Presentación de la obra “Las Monjas” de Eduardo Manet, dirigida por Lisandro Selva, en el Teatro La Cañada de Córdoba (Argentina).
description: Notes : Le document est composé de quatre photocopies d’articles de presse, deux au recto, deux au verso, collées sur un feuillet vierge au format A4. Les articles ont été indexés séparément. Le document est classé dans le fonds d’archives à la cote EM-E1-1971-08-00b.
description: Titre de la publication : Indéterminé.
description: Source: EM-E1-1971-08-19
description: Source: Localisation de la ressource : Centre de Recherches Latino-Américaines (CRLA–Archivos, ITEM UMR8132). MSHS - Bât. A5, 1er étage 5 rue Théodore Lefebvre - TSA21103. 86073 Poitiers cedex 9.
description: Relation: EM-E1-1971-08-00b
description: Relation: EM-E1-1971-08-00c
description: Relation: EM-E1-1971-08-00d
Essays in Alternative Estimation Methods - Efficiency with Binary Dyadic Data and Penalized Quantile Regression
Creators: name: Mendes Da Cruz, João António
Publisher: name: University of Surrey
Year: 2024
Subjects: subject: Quasi-Likelihood
subject: Efficiency
subject: Dyadic Data
subject: Quantile Regression
subject: Econometrics
subject: FOS: Economics and business
subject: Machine Learning

description: This thesis proposes alternative estimation methods for two separate frameworks. Theseare presented in two main chapters, namely, “Quasi-likelihood inference for binary dyadicregression” and “Penalized quantile regression based on moments”.In the first chapter we focus on the case of binary dyadic outcomes, which has recentlyattracted much attention in the context of network formation models. Dyadicdata is known to exhibit a distinctive form of correlation known as dyadic clustering. Wepropose a quasi-likelihood procedure constructed from the first two data moments thataccounts this correlation. Our method avoids strong assumptions on the specification oflatent components, and through simulation work, we find efficiency gains when comparedwith common alternatives, returning less scattered estimates and shorter confidence intervals.Empirical applications based on advice and trade networks are provided.The second chapter studies quantile regression under high-dimensionality and sparsity.Specifically, we present a penalized estimator which selects predictors affectingthe location and scale of a response variable, and estimates conditional quantiles. Toachieve this, we augment the procedure in Machado & Santos Silva (2019) by includinga penalty term allowing the shrinkage of coefficients. This approach benefits from theuse of methods specific to the estimation of conditional means, which particularly aidsin computational simplicity and in difficult estimation settings for quantile regression.Simulation work indicates that our proposal selects all relevant predictors affecting thelocation and scale of the response variable, given a sufficiently large sample size, anddelivers adequate quantile prediction. To demonstrate the proposed estimator, we showan illustrative application based on the Corrected Boston House Price Data.
ANOMALY DETECTION USING MACHINE LEARNING FORINTRUSION DETECTION
Creators: name: Rudraraju, Vaishnavi
Publisher: name: Purdue University Graduate School
Year: 2024
Subjects: classificationCode: 461199
subject: Machine learning not elsewhere classified

description: This thesis examines machine learning approaches for anomaly detection in network security, particularly focusing on intrusion detection using TCP and UDP protocols. It uses logistic regression models to effectively distinguish between normal and abnormal network actions, demonstrating a strong ability to detect possible security concerns. The study uses the UNSW-NB15 dataset for model validation, allowing a thorough evaluation of the models' capacity to detect anomalies in real-world network scenarios. The UNSW-NB15 dataset is a comprehensive network attack dataset frequently used in research to evaluate intrusion detection systems and anomaly detection algorithms because of its realistic attack scenarios and various network activities.Further investigation is carried out using a Multi-Task Neural Network built for binary and multi-class classification tasks. This method allows for the in-depth study of network data, making it easier to identify potential threats. The model is fine-tuned during successive training epochs, focusing on validation measures to ensure its generalizability. The thesis also applied early stopping mechanisms to enhance the ML model, which helps optimize the training process, reduces the risk of overfitting, and improves the model's performance on new, unseen data.This thesis also uses blockchain technology to track model performance indicators, a novel strategy that improves data integrity and reliability. This blockchain-based logging system keeps an immutable record of the models' performance over time, which helps to build a transparent and verifiable anomaly detection framework.In summation, this research enhances Machine Learning approaches for network anomaly detection. It proposes scalable and effective approaches for early detection and mitigation of network intrusions, ultimately improving the security posture of network systems.
MOESM1 of Effects of two kinds of imidazolium-based ionic liquids on the characteristics of steroid-transformation Arthrobacter simplex
Creators: name: Yanbing Shen
name: Lifang Wang
name: Jingting Liang
name: Tang, Rui
name: Wang, Min
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Plant Biology

description: Additional file 1. The identification of the control cells proteins.
The development and use of evidence in the context of vaccine introductions
Creators: name: Christen, Paula
Publisher: name: Imperial College London
Year: 2023

description: Infectious diseases are among the leading causes of death and disability globally, disproportionately affecting people in low- and middle-income countries (LMIC). Vaccines have made a significant contribution to reducing the global burden of infectious diseases, preventing an estimated 5.1 million deaths annually. However, with changing infectious disease epidemiology, other competing health challenges, and new vaccine products and technologies, the decisionmaking environment for vaccine introductions is becoming more complex. To progress towards elimination goals, programmes that promote immunisation access and health equity need to be implemented. To this end, evidence, in its many forms, can inform policies and programmes. To date, how specific forms of evidence are used at specific moments in vaccination programme introductions in LMIC remains opaque. Understanding how the perspectives of stakeholders in science and policy development can be integrated into evidence development and how this evidence can be translated to support immunisation programmes, is vital to improving health outcomes. The aim of this thesis is to contribute to the global evidence base by exploring knowledge translation in the context of vaccination programmes at the global and national levels, with a particular focus on evidence generated with mathematical models. Through integrating the perspectives of decision-makers in modelling the human papillomavirus vaccine impact in Mozambique, this thesis reflects on how evidence can be shaped for health policy and programmes. This work reflects on how mathematical models of infectious diseases can contribute to reducing health disparities in settings with limited resources. It is envisioned that the findings of this research will support operationalizing evidence-informed decision-making in immunisation programmes, and will thereby contribute to more evidence-informed actions to advance global health.
MOESM4 of Effects of two kinds of imidazolium-based ionic liquids on the characteristics of steroid-transformation Arthrobacter simplex
Creators: name: Yanbing Shen
name: Lifang Wang
name: Jingting Liang
name: Tang, Rui
name: Wang, Min
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology

description: Additional file 4. The bioinformatics analysis of ASP reduced proteins affected by ILs. NCBI searches were performed in Uniprot protein database for analysis of the location and function classify.
Unveiling key drivers of hepatocellular carcinoma: a synergistic approach with network pharmacology, machine learning-driven ligand discovery and dynamic simulations
Creators: name: Sabir, D.K.
name: Bin Jumah, J.A.
name: Ancy, I.
Publisher: name: Taylor & Francis
Year: 2025
Subjects: Biophysics
Biochemistry
Pharmacology
Environmental Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer

description: Hepatocellular carcinoma (HCC) ranks fourth in cancer-related mortality worldwide. This study aims to uncover the genes and pathways involved in HCC through network pharmacology (NP) and to discover potential drugs via machine learning (ML)-based ligand screening. Additionally, toxicity prediction, molecular docking, and molecular dynamics (MD) simulations were conducted. NP study identified key genes related to HCC, particularly the enzymes AKT1 and GSK3β. Pathway analysis revealed that crucial pathways like PI3K-AKT and WNT signalling play pivotal roles in HCC progression. Using ML, potential inhibitors for AKT1 and GSK3β were identified, including CHEMBL2177361 and CHEMBL403354 for AKT1, and CHEMBL3652546 and CHEMBL4641631 for GSK3β. post-MD analyses, including RMSD, 2D-RMSD, RMSD cluster, RMSF, PCA, DCCM, residence time analysis, diffusion coefficient, autoencoder-based dimensionality reduction, FEL and MM/GBSA were performed to understand the protein–ligand interactions. The present study reveals the stable interactions of the inhibitors with AKT1 and GSK3β. The binding free energies of all the four complexes were −39.9, −46.8, −41.6, and −45.9 kcal/mol, respectively. This research provides novel insights into the genes and pathways involved in the progression and pathogenesis of HCC using bioinformatics tools. Furthermore, ML-based virtual screening identified potent inhibitors against the target proteins of HCC, such as AKT1 and GSK3β.
Additional file 1: of A systematic review for the antidepressant effects of sleep deprivation with repetitive transcranial magnetic stimulation
Creators: name: Tang, Qing
name: Guangming Li
name: Anguo Wang
name: Liu, Tao
name: Shenggang Feng
name: Zhiwei Guo
name: Huaping Chen
name: He, Bin
name: McClure, Morgan
name: Ou, Jun
name: Guoqiang Xing
name: Qiwen Mu
Publisher: name: Figshare
Year: 2015
Subjects: subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: S1 Checklist. PRISMA 2009 Checklist. (PDF 201 kb)
Additional file 1: ZMYL enhances the anti-tumor efficacy of CDDP in tumor-bearing mice. of Hepatotoxicity and pharmacokinetics of cisplatin in combination therapy with a traditional Chinese medicine compound of Zengmian Yiliu granules in ICR mice and SKOV-3-bearing nude mice
Creators: name: Gong, Can
name: Qian, Lin
name: Yang, Hong
name: Ji, Li-Li
name: Wei, Hai
name: Zhou, Wen-Bin
name: Qi, Cong
name: Wang, Chang-Hong
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Figure 1 photographs of solid tumor (A), tumor weight and relative tumor volume of solid tumor (B) taken from mice treated with saline (Model), ZMYL, CDDP + ZMYL and CDDP. Data show the mean ± SD (means ± SD, n=9). **p
Additional file 1: Table S1. of A novel long non-coding RNA lnc-GNAT1-1 is low expressed in colorectal cancer and acts as a tumor suppressor through regulating RKIP-NF-ÎşB-Snail circuit
Creators: name: Chunxiang Ye
name: Zhanlong Shen
name: Wang, Bo
name: Yansen Li
name: Li, Tao
name: Yang, Yang
name: Kewei Jiang
name: Yingjiang Ye
name: Wang, Shan
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: Molecular Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Developmental Biology
subject: Cancer
subject: 60506 Virology
subject: FOS: Biological sciences
subject: Computational Biology

description: Western Blot primary antibodies. (DOCX 13Â kb)
The prevalence of Abdominal Aortic Aneurysm (AAA): an ultrasound screening program for the aging population in multicentre across Riyadh
Creators: name: Algadi, Arwa Saad
Publisher: name: Imperial College London
Year: 2023

description: Introduction: Abdominal aortic aneurysm (AAA) is characterized by permanent dilatation of the aortic wall. If it ruptures, fatality rates might exceed 80%. Screening elderly men for AAA is cost-effective and decreases mortality rates in Western nations. In Saudi Arabia, little research has been conducted. Establishing a screening program might lower AAA rupture mortality risk. Because of their lower cost, and compact size, handheld ultrasound devices may be suitable for mass screening. Shear wave elastography (SWE) has emerged as a tool for assessing the elastic properties of the aortic wall, improving AAA diagnosis. Hypothesis: This research aimed to determine AAA prevalence in the elderly population of Riyadh city and investigate associated risk factors, examine elastic properties of aneurysmal aortic walls using SWE, and assess the reliability of the Butterfly iQ probe as a diagnostic tool. Methods: Three prospective analytic investigations were carried out. The first study screened individuals (n=680) for AAA across multiple hospitals in Riyadh. The second research utilized SWE ultrasound to evaluate participants' aortas. In the last study, two operators scanned AAA patients using conventional and Butterfly probes. Results: The study revealed a prevalence of 1% (95% CI 0.4% - 2.1%) and a high association between AAA and male gender and smoking, a significant difference in wall stiffness between AAA cases and controls (p <0.001), and Intra- and inter-operator interclass correlation coefficient (ICC) values greater than 0.9, indicating excellent agreement. The Bland-Altman limits of agreement were similar for both methods. Conclusion: The prevalence of AAA in Riyadh is trending similarly to Western nations. National screening for AAA should be considered and investigated. Advances in ultrasound technologies have increased surveillance capabilities, and changes in aortic wall elasticity may be early warning signs. The Butterfly iQ probe is effective in detecting AAA, potentially replacing conventional ultrasound machines in community mass screenings.
Additional file 2: Table S1. of A randomised, open-labelstudy of insulin glargine or neutral protamine Hagedorn insulin in Chinese paediatric patients with type 1 diabetes mellitus
Creators: name: Liu, Min
name: Zhiguang Zhou
name: Jinhua Yan
name: Li, Pin
name: Wenhui Song
name: Junfen Fu
name: Xiaobo Chen
name: Weigang Zhao
name: Xi, Li
name: Xiaoping Luo
name: Sha, Liang
name: Xueyuan Deng
name: Chunxiu Gong
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 60506 Virology
subject: FOS: Biological sciences
subject: Computational Biology

description: Patient demographics and baseline disease characteristics. (DOCX 15 kb)
RiemannONets: Interpretable Neural Operators for Riemann Problems
Creators: name: Peyvan, Ahmad
name: Oommen, Vivek
name: Jagtap, Ameya D.
name: Karniadakis, George Em
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Developing the proper representations for simulating high-speed flows with strong shock waves, rarefactions, and contact discontinuities has been a long-standing question in numerical analysis. Herein, we employ neural operators to solve Riemann problems encountered in compressible flows for extreme pressure jumps (up to $10^{10}$ pressure ratio). In particular, we first consider the DeepONet that we train in a two-stage process, following the recent work of \cite{lee2023training}, wherein the first stage, a basis is extracted from the trunk net, which is orthonormalized and subsequently is used in the second stage in training the branch net. This simple modification of DeepONet has a profound effect on its accuracy, efficiency, and robustness and leads to very accurate solutions to Riemann problems compared to the vanilla version. It also enables us to interpret the results physically as the hierarchical data-driven produced basis reflects all the flow features that would otherwise be introduced using ad hoc feature expansion layers. We also compare the results with another neural operator based on the U-Net for low, intermediate, and very high-pressure ratios that are very accurate for Riemann problems, especially for large pressure ratios, due to their multiscale nature but computationally more expensive. Overall, our study demonstrates that simple neural network architectures, if properly pre-trained, can achieve very accurate solutions of Riemann problems for real-time forecasting. The source code, along with its corresponding data, can be found at the following URL: https://github.com/apey236/RiemannONet/tree/main
Additional file 3: Table S2. of A randomised, open-labelstudy of insulin glargine or neutral protamine Hagedorn insulin in Chinese paediatric patients with type 1 diabetes mellitus
Creators: name: Liu, Min
name: Zhiguang Zhou
name: Jinhua Yan
name: Li, Pin
name: Wenhui Song
name: Junfen Fu
name: Xiaobo Chen
name: Weigang Zhao
name: Xi, Li
name: Xiaoping Luo
name: Sha, Liang
name: Xueyuan Deng
name: Chunxiu Gong
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 60506 Virology

description: Low blood glucose risk index (LBGI) and high blood glucose risk index (HBGI) of self-monitored 8-point glucose in the modified intention-to-treat analysis by visit between baseline and Week 24. (DOCX 15 kb)
Additional file 1: of A randomised, open-labelstudy of insulin glargine or neutral protamine Hagedorn insulin in Chinese paediatric patients with type 1 diabetes mellitus
Creators: name: Liu, Min
name: Zhiguang Zhou
name: Jinhua Yan
name: Li, Pin
name: Wenhui Song
name: Junfen Fu
name: Xiaobo Chen
name: Weigang Zhao
name: Xi, Li
name: Xiaoping Luo
name: Sha, Liang
name: Xueyuan Deng
name: Chunxiu Gong
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Molecular Biology
subject: Physiology
subject: FOS: Biological sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 60506 Virology

description: Supplementary Methods and Results. (DOC 25 kb)
Is Your Kettle Smarter Than a Hacker? A Scalable Tool for Assessing Replay Attack Vulnerabilities on Consumer IoT Devices
Creators: name: Lazzaro, Sara
name: De Angelis, Vincenzo
name: Mandalari, Anna Maria
name: Buccafurri, Francesco
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Consumer Internet of Things (IoT) devices often leverage the local network to communicate with the corresponding companion app or other devices. This has benefits in terms of efficiency since it offloads the cloud. ENISA and NIST security guidelines underscore the importance of enabling default local communication for safety and reliability. Indeed, an IoT device should continue to function in case the cloud connection is not available. While the security of cloud-device connections is typically strengthened through the usage of standard protocols, local connectivity security is frequently overlooked. Neglecting the security of local communication opens doors to various threats, including replay attacks. In this paper, we investigate this class of attacks by designing a systematic methodology for automatically testing IoT devices vulnerability to replay attacks. Specifically, we propose a tool, named REPLIOT, able to test whether a replay attack is successful or not, without prior knowledge of the target devices. We perform thousands of automated experiments using popular commercial devices spanning various vendors and categories. Notably, our study reveals that among these devices, 51% of them do not support local connectivity, thus they are not compliant with the reliability and safety requirements of the ENISA/NIST guidelines. We find that 75% of the remaining devices are vulnerable to replay attacks with REPLIOT having a detection accuracy of 0.98-1. Finally, we investigate the possible causes of this vulnerability, discussing possible mitigation strategies.
description: Please use the PERCOM reference: S. Lazzaro, V. De Angelis, A. M. Mandalari and F. Buccafurri, "Is Your Kettle Smarter Than a Hacker? A Scalable Tool for Assessing Replay Attack Vulnerabilities on Consumer IoT Devices," 2024 IEEE International Conference on Pervasive Computing and Communications (PerCom), Biarritz, France, 2024, pp. 114-124, doi: 10.1109/PerCom59722.2024.10494466
Recent Development and Advances on Polysaccharide Composite Scaffolds for Dental and Dentoalveolar Tissue Regeneration
Creators: name: Wang, Xiaoxiao
name: Li, Hui
name: Mu, Min
name: Ye, Rui
name: Zhou, Lihua
name: Guo, Gang
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Computational Biology

description: Oral diseases are a prevalent global issue, causing significant health and economic burdens that greatly diminish the quality of life for affected individuals. Tissue engineering strategies employing scaffolds offer a promising approach to restoring the original structures and biological functions of dental and dentoalveolar tissues. Among the various building materials, polysaccharides, known for their inherent biocompatibility, have gained significant attention. Topical advances in tissue engineering have led to the fabrication of composite scaffolds with the greatest utilization of favorable properties of each material. This review aims to explore the application of polysaccharide-based composite scaffolds for regenerating dental and dentoalveolar tissues, including both hard and soft tissues, as well as tissue complexes. To begin, we will provide a brief overview to commonly used polysaccharides. Subsequently, we will introduce the commonly used forms of composite polysaccharide scaffolds together with fabricating, engineering, and optimizing methods for dental and dentoalveolar tissue regeneration. Next, we will examine the latest progress and the potential of polysaccharide composite scaffolds in dental and dentoalveolar tissue regeneration applications. To conclude, this review will reflect on the limitations and prospects associated with polysaccharide composite scaffolds for dental and dentoalveolar tissue regeneration. By addressing these aspects, we aim to contribute to the understanding and development of effective strategies for improving oral health outcomes.
A realist informed evaluation of medical relicensing in Egypt on physicians' performance.
Creators: name: Hassounah, Sondus
Publisher: name: Imperial College London
Year: 2023

description: The introduction of medical relicensing in Egypt signifies a significant shift in how the medical profession is regulated, sparking extensive debate among healthcare professionals. However, details regarding the implementation process, assessment methods, and involvement of stakeholders remain unclear since its announcement in 2017. This PhD study aims to provide context-specific recommendations for Egyptian medical relicensing, addressing gaps in policy, education, and practice. Using a realist-informed approach, this multi-method study explores the impact of regulatory interventions on healthcare workforce performance, investigates mechanisms and contextual factors influencing relicensing in the Egyptian context, and proposes a tailored relicensing model for Egypt. Drawing on literature from various fields such as health policy, human resources for health, pedagogy, performance, and behaviour change, the research comprises four main studies: a scoping review on relicensure, a systematic review on primary care physician performance, semi-structured interviews, and a modified Delphi study. Findings underscore the complex interplay between doctors, regulators, and contextual factors in physician performance regulation. It emphasizes the need for a customized approach that considers local needs and cultures, the value of incorporating evaluation criteria like knowledge, skills, safety, communication, and teamwork into the relicensing process, advocates for fostering a growth mindset, continuous learning, reflective practices among physicians, and highlights assessment for learning and empowering physicians to drive improvement. While medical relicensing holds promise for enhancing professional accountability in Egypt, current plans may fall short of realizing this potential. Proposing a model for medical relicensing in Egypt, the study provides a framework to support national-level efforts in improving physician performance. This evidence-informed framework, supplemented with recommendations for the relicensing portfolio, performance measurements, and context-specific considerations, offers a standardized yet adaptable approach. It can assist policymakers in monitoring and evaluating relicensing initiatives, aligning with both national and global health objectives.
Cryptocellus Westwood 1874
Creators: name: Botero-Trujillo, Ricardo
name: Flórez, Eduardo
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Ricinulei
Ricinoididae
Cryptocellus

description: Genus Cryptocellus Westwood, 1874
Type species. Cryptocellus foedus Westwood, 1874, by monotypy.
description: Published as part of Botero-Trujillo, Ricardo & Flórez, Eduardo, 2017, Two new ricinuleid species from Ecuador and Colombia belonging to the peckorum species-group of Cryptocellus Westwood (Arachnida, Ricinulei), pp. 483-498 in Zootaxa 4286 (4) on page 484, DOI: 10.11646/zootaxa.4286.4.2, http://zenodo.org/record/828729
Cryptocellus peckorum Botero-Trujillo & Flórez, 2017, sp. nov.
Creators: name: Botero-Trujillo, Ricardo
name: Flórez, Eduardo
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Ricinulei
Ricinoididae
Cryptocellus
Cryptocellus peckorum

description: The peckorum species-group
Defined by Tourinho & Saturnino (2010) for species with the tarsal process of the male copulatory apparatus thin; tarsal process and accessory piece curved, and with sinuous contour; and male leg III metatarsus moderately inflated (longer than wide). The following species are included in this group: Cryptocellus chiruisla sp. nov. (Ecuador); Cryptocellus conori Tourinho & Saturnino, 2010 (Brazil); Cryptocellus guaviarensis sp. nov. (Colombia); Cryptocellus lampeli Cooke, 1967 (Guyana); Cryptocellus peckorum Platnick & Shadab, 1977 (Colombia); Cryptocellus tarsilae Pinto-da-Rocha & Bonaldo, 2007 (Brazil).
description: Published as part of Botero-Trujillo, Ricardo & Flórez, Eduardo, 2017, Two new ricinuleid species from Ecuador and Colombia belonging to the peckorum species-group of Cryptocellus Westwood (Arachnida, Ricinulei), pp. 483-498 in Zootaxa 4286 (4) on page 484, DOI: 10.11646/zootaxa.4286.4.2, http://zenodo.org/record/828729