Miracle-dz/UniFAR-FTUs huggingface dataset:
Problèmes inverses et simulations numériques en viscoélasticité 3D.

Dans cette these, nous abordons plusieurs problemes mathematiques et numeriques relatifs aux equations de la viscoelasticite en trois dimensions. Dans la premiere partie, nous considerons le systeme lineaire et nous nous interessons au probleme inverse de recuperation d'un coefficient viscoelastique. Pour ce systeme, nous demontrons une inegalite de Carleman (Chapitre 1) et un resultat de stabilite dans le prolongement unique (Chapitre 2). Nous utilisons ensuite ces resultats pour prouver deux inegalites de stabilite pour le probleme inverse, l'une relative a une unique mesure interne et l'autre a une unique mesure sur une partie arbitrairement petite de la frontiere (Chapitre 3). Finalement, nous proposons une methode pour resoudre ce probleme numeriquement et presentons une application en imagerie medicale (Chapitre 4). Dans la deuxieme partie, nous etudions le systeme de la viscoelasticite non lineaire. Nous presentons des methodes numeriques pour le resoudre et l'implementation de ces dernieres en trois dimensions sur des geometries complexes (Chapitre 5). Une application biomedicale a la simulation des deformations des structures cerebrales est ensuite decrite (Chapitre 6). Enfin, nous abordons une question de modelisation en proposant un modele couple viscoelastique/viscoplastique en grandes deformations (Chapitre7).
Neuropathogenesis of HIV and emerging therapeutic targets

ABSTRACT Introduction HIV infection causes a wide range of neurological complications, many of which are among the most common complications of chronic HIV infection in the era of combined antiretroviral therapy. These neurological conditions arise due to complex interactions between HIV viral proteins and neuronal and glial cells that lead to the activation of various inflammatory and neurotoxic pathways across the nervous system. Areas Covered This review summarizes the current literature on the pathogenesis and clinical manifestations of neurological injuries associated with HIV in the brain, spinal cord, and peripheral nervous system. Molecular pathways relevant for possible therapeutic targets or advancements are emphasized. Gaps in knowledge and current challenges in therapeutic design are also discussed. Expert Opinion Several challenges exist in the development of therapeutic targets for HIV-associated cognitive impairments. However, recent developments in drug delivery systems and treatment strategies are encouraging. Treatments for HIV-associated pain and peripheral sensory neuropathies currently consist of symptomatic management, but a greater understanding of their pathogenesis can lead to the development of targeted molecular therapies and disease-modifying therapies. HIV-associated autonomic dysfunction may affect the course of systemic disease via disrupted neuro-immune interactions; however, more research is needed to facilitate our understanding of how these processes present clinically.
Integrated bioinformatics data analysis reveals a risk signature and PKD1 induced progression in endometrial cancer patients with postmenopausal status

Background: Endometrial cancer (EC) is one of the most common type of female genital malignancies. The purpose of the present study was to reveal the underlying oncogene and mechanism that played a pivotal role in postmenopausal EC patients. Methods: Weighted gene co-expression network analysis (WGCNA) was conducted using the microarray dataset and clinical data of EC patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases to identify significant gene modules and hub genes associated with postmenopausal status in EC patients. LASSO regression was conducted to build and validate the risk model. Finally, expression of hub gene was validated in pre- and post-menopausal EC patients in our center. Results: 1240 common genes were used to construct the WGCNA model. According to the WGCNA results, we identified a brown module with 471 genes which was significantly associated with postmenopausal status in EC patients. Furthermore, we constructed an 11-gene risk signature to predict the overall survival of EC patients. The Kaplan–Meier curve and area under the ROC curve (AUC) of this model showed high accuracy in prediction. We also validate the risk model in patients in our center and it also has a high accuracy. Among the 11 genes, PKD1 was recognized as a potential biomarker in the progression of EC patients with postmenopausal status. Conclusion: Taken together, we uncovered a common PKD1-mediated mechanism underlying postmenopausal EC patients’ progression by integrated analyses. This finding may improve targeted therapy for EC patients.
ADDENDUM: Giant resonances in free atoms and in clusters

A review of recent developments in the study of giant resonances in free atoms and in clusters is presented, with particular emphasis on the transition from free atoms to atoms in the condensed phase. Giant resonances in alkali and related metallic clusters due to the excitation of closed shells of delocalized electrons are also reviewed and the relation between different types of collective oscillations is discussed.
Covariant spectator theory of np scattering: Deuteron magnetic moment

The deuteron magnetic moment is calculated using two model wave functions obtained from 2007 high precision fits to $np$ scattering data. Included in the calculation are a new class of isoscalar $np$ interaction currents which are automatically generated by the nuclear force model used in these fits. After normalizing the wave functions, nearly identical predictions are obtained: model WJC-1, with larger relativistic P-state components, gives 0.863(2), while model WJC-2 with very small $P$$-state components gives 0.864(2) These are about 1\% larger than the measured value of the moment, 0.857 n.m. , giving a new prediction for the size of the $$\rho\pi\gamma$ exchange, and other purely transverse interaction currents that are largely unconstrained by the nuclear dynamics. The physical significance of these results is discussed, and general formulae for the deuteron form factors, expressed in terms of deuteron wave functions and a new class of interaction current wave functions, are given.
Correlation between the Treg/Thl7 Index and the Efficacy of PD-1 Monoclonal Antibody in Patients with Advanced Non-Small-Cell Lung Cancer Complicated with Chronic Obstructive Pulmonary Disease

Objective It was to explore the correlation between regulatory T cells (Treg)/T helper cell 17 (Thl7) and the efficacy of receiving a programmed death protein-1 (PD-1) monoclonal antibody (mAb) in patients with advanced non-small-cell lung cancer (NSCLC) complicated with chronic obstructive pulmonary disease (COPD). Methods The research subjects were 82 patients who were clinically evaluated and treated in the Respiratory Department of Suqian Hospital connected with Xuzhou Medical University from January to December 2021. All of the patients were given PD-1 immunotherapy, and 50 healthy people were chosen as the control group. Classification was carried out according to tumor type and tumor stage. The levels of Th17 and Treg/Th17 in the peripheral blood of patients with different tumor-node-metastasis (TNM) stages and different types were compared, and the immune function, lung function (forced expiratory volume in one second/forced vital capacity (FEV1%/FVC), FEV1%, and FVC), and changes in inflammatory factors were compared before and after treatment. The levels of interleukin (IL)-17, IL-6, tumor necrosis factor (TNF)-α, and transforming growth factor (TGF)-β were compared between the two groups. The correlation between Th17 cells and Treg cells in the peripheral blood of patients with NSCLC complicated with COPD was analyzed. Results After treatment, the levels of IL-17, IL-6, TNF-α, and TGF-β in patients with NSCLC combined with COPD were notably superior to those in the control group (P < 0.05). The immune function and lung function of the patients were improved after treatment. There were 43 cases of squamous cell carcinoma, 30 cases of adenocarcinoma, and 9 cases of large cell carcinoma. The proportion of Th17 cells to CD4+ T cells in the blood of the three types of patients and the proportion of CD4+CD25HiCD127Lo regulatory T cells to CD4+ lymphocyte cells in Treg cells showed no considerable difference among the different case types (P > 0.05). No considerable difference was indicated in Treg/Th17 in peripheral blood between stage IIIB and stage IV lung cancer patients (P > 0.05). A positive linear correlation was revealed between Th17 cells and Treg cells in the peripheral blood of patients with NSCLC combined with COPD, R = 0.26, P = 0.039. Conclusion Treg and Th17 cells were shown to be much higher in lung cancer patients with COPD, which could lead to immunosuppression and tumor growth. PD-1 therapy for NSCLC has demonstrated efficacy and can improve patients' immunological state while being extremely safe.
Real-time tracking of rigid objects using depth data

In this paper, a robust, real-time object tracking approach is presented. The approach relies only on depth data to track objects in a dynamic environment and uses random-forest based learning to deal with problems like object occlusion and clutter. We show that the relation between object motion and the corresponding change in its 3D point cloud data can be learned using only 6 random forests. A framework that unites object pose estimation and object pose tracking to efficiently track objects in 3D space is presented. The approach is robust against occlusions in tracking objects and is capable of real-time performance with 1.7ms per frame. The experimental evaluations demonstrate the performance of the approach against robustness, accuracy and speed and compare the approach quantitatively with the state of the art.
FRET as a tool for the studies of structural changes in full-length bacterial phytochrome, Agp1

Bacteriophytochromes (BphPs) are light-regulated biliprotein photoreceptors widely occurring in bacteria. BphPs exists in two spectral distinct states: the red-light absorbing state (Pr) and the far-red light-absorbing state (Pfr). BphPs are composed of an N-terminal photosensory core module and a light-controlled C-terminal histidine kinase module. The detailed mechanism on how photoconversion, initiated by a light-triggered isomerization of the biliverdin chromophore, is conducted from the N-terminal to the C-terminal domain and how the histidine kinase is modulated is still not clear. In this work Agp1 from Agrobacterium tumefaciens is used as a model phytochrome. The method of labeling full-length Agp1 mutants with single accessible Cys residue using fluorescence probes is described. Different absorption spectra showed that neither mutagenesis nor fluorescence labeling exerts significant effects on the photoconversion behavior of various Agp1 mutants. The histidine kinase activity assay revealed that the labeled holoproteins exhibit wild-types like autophosphorylation activity that depends on the Pr and the Pfr state. Fluorescence spectroscopic data suggested that fluorescence resonance energy transfer occurs from the donor Atto495 to the acceptor Atto565 in double-labeled Agp1-A362C, K514C, H554C, R603C, I653C, and V674C mutants. Red light irradiation gave rise to small changes on fluorescence emission intensity in some mutants but in some no remarkable inter-subunit distance changes occurred during the photo-conversion from Pr to Pfr in full-length Agp1. In contrast to double-labeled samples, significant changes in fluorescence intensity were observed in single-labeled samples.
Basic Relation between RAW and RRW and Some of Its Implications on Risk Reduction Strategies

In using risk-informed approaches for ensuring safety of operating nuclear power plants (NPPs), risk importance measures obtained from probabilistic safety assessments (PSAs) of the plants are integral elements of consideration in many cases. In PSA models and applications associated with NPPs the risk importance of a particular feature (e.g. function, system, component, failure mode or operator action) can be, most generally, divided into two categories: importance with respect to risk increase potential and importance with respect to risk decrease potential. The representative of the first category, as used for practical purposes, is Risk Achievement Worth (RAW). Representative of the second category, as mentioned in consideration of risk importance, is Risk Reduction Worth (RRW). It can be shown that the two risk importance measures, RAW and RRW, are dependent on each other. The only parameter in this mutual dependency is probability of failure of the considered feature. The paper discusses the relation between RAW and RRW and some of its implications, including those on the general strategies for the reduction of risk imposed for the operation of the considered facility. Two general risk reduction strategies which are considered in the discussion are: a) risk reduction by decreasing the failure probability of the considered feature; and b) risk reduction while keeping the failure probability of the considered feature at the same level. Simple examples are provided to illustrate the differences between two strategies and point to main issues and conclusions.
Characterization of Bacterial isolates from Wound Infections

INTRODUCTION: Wound infection is common across all sex and age groups whichare responsible for significant human mortality and morbidity worldwide.Therefore, the objectives of this study were designed towards isolation and identification of bacteria involved in wound sepsis at Provincial hospital of Madhesh Pradesh, Nepal. MATERIALS AND METHODS: A total of 45 samples were collected from patients of different age groups of both male and female at provincial hospital,Madhesh Pradesh, NepalThe samples were transferred immediately and processed in the microbiology laboratory at Model Multiple College, Janakpurdham. Characterization and identification of the obtained bacteria was based on standard microbiological methods. RESULTS: Out of 45 samples 40 (88.89%) showed bacterial growth. Among the isolates Staphylococcus aureus were present in 15(37.5%), Pseudomonas aureogenosaein 7(17.5%), E.coli in 09(22.50%), and Streptococcus pyogenes in 09 (22.5%) of the total isolated samples. CONCLUSIONS: Staphylococcus aureusin wound infections was found to be dominant.
Which cross fields can be quadrangulated?

We describe a method for the generation of seamless surface parametrizations with guaranteed local injectivity and full control over holonomy. Previous methods guarantee only one of the two. Local injectivity is required to enable these parametrizations' use in applications such as surface quadrangulation and spline construction. Holonomy control is crucial to enable guidance or prescription of the parametrization's isocurves based on directional information, in particular from cross-fields or feature curves, and more generally to constrain the parametrization topologically. To this end we investigate the relation between cross-field topology and seamless parametrization topology. Leveraging previous results on locally injective parametrization and combining them with insights on this relation in terms of holonomy, we propose an algorithm that meets these requirements. A key component relies on the insight that arbitrary surface cut graphs, as required for global parametrization, can be homeomorphically modified to assume almost any set of turning numbers with respect to a given target cross-field.
Review Article Long-Term Outcomes of Congenital Adrenal Hyperplasia

A plethora of negative long-term outcomes have been associated with congenital adrenal hyperplasia (CAH). The causes are multiple and involve supra-physiological gluco- and mineralocorticoid replacement, excess adrenal androgens both intrauterine and postnatal, elevated steroid precursor and adrenocorticotropic hormone levels, living with a congenital condition as well as the proximity of the cytochrome P450 family 21 subfamily A member 2 ( CYP21A2 ) gene to other genes. This review aims to discuss the different long-term outcomes of CAH.
Neuroeducation: A Transdisciplinary Approach from the Prism of Cognitive Processes and Learning Styles in University Students

- The study addresses neuroeducation in the context of higher education to consolidate a scientific basis in the teaching and learning processes, whose purpose was to generate a theoretical approach to neuroeducation: a transdisciplinary approach from the perspective of cognitive processes and learning styles. in the undergraduate students in Bilingual Intercultural Education of the El Mácaro Rural Pedagogical Institute “Luis Fermín, Venezuelan Guajira territorial classroom. Methodologically, it was framed in the postpositivist paradigm with a qualitative approach, phenomenological-hermeneutical method, it had 8 key informants and the findings, evaluated by categorization, structuring, triangulation and theorizing techniques. Resulting in the need to improve teachers' knowledge management based on neuroeducation, their contributions, strategies and methodologies to optimize academic development, teachers and students must work in transdisciplinary teams, devising creative methods, from popular pedagogical traditions, that enhance motivation for scientific research and innovation. Abstract- The study addresses neuroeducation in the context of higher education to consolidate a scientific basis in the teaching and learning processes, whose purpose was to generate a theoretical approach to neuroeducation: a transdisciplinary approach from the perspective of cognitive processes and learning styles. in the undergraduate students in Bilingual Intercultural Education of the El Mácaro Rural Pedagogical Institute territorial classroom. Methodologically, it was framed in the postpositivist paradigm with a qualitative approach, phenomenological-hermeneutical method, it had 8 key informants and the findings, evaluated by categorization, structuring, triangulation and theorizing techniques. Resulting in the need to improve teachers' knowledge management based on neuroeducation, their contributions, strategies and methodologies to optimize academic development, teachers and students must work in transdisciplinary teams, devising creative methods, from popular pedagogical traditions, that enhance motivation for scientific research and innovation.
Digit Recognizer

—This project implements multiple classiﬁers on the well-know handwritten digit database MNIST. Exactly, MPP, kNN, BPNN, decision tree, kmeans, WTA, SOM, multi-SVM, random forest and CNN are applied. In addition, three classiﬁer fusion methods—majority voting, confusion matrix and BKS— are used to improve classiﬁcation performance. In experiment results, accuracy and computation time are shown to illustrate the performance of each classiﬁer. Currently, the error rate of digit recognition on MNIST database is 0.23%, which is not easy to be surpassed. Thus, the purpose of this project is to make a deeper understanding on different classiﬁers.
A Comparative Study on the Loss Functions for Image Enhancement Networks

Image enhancement and image retouching processes are often dominated by global (shift-invariant) change of colour and tones. Most “deep learning” based methods proposed for image enhancement are trained to enforce similarity in pixel values and/or in the high-level feature space. We hypothesise that for tasks, such as image enhancement and retouching, which involve a significant shift in colour statistics, training the model to restore the overall colour distribution can be of vital importance. To address this, we study the effect of a Histogram Matching loss function on a state-of-the art colour enhancement network — HDRNet. The loss enforces similarity of the RGB histograms of the predicted and the target images. By providing detailed qualitative and quantitative comparison of different loss functions on varied datasets, we conclude that enforcing similarity in the colour distribution achieves substantial improvement in performance and can play a significant role while choosing loss functions for image enhancement networks.
Communication and information complexity

Communication complexity is an area of computational complexity theory that studies the amount of communication required to complete a computational task. Communication complexity gives us some of the most successful techniques for proving impossibility results for computational tasks. Information complexity connects communication complexity with Shannon’s classical information theory. It treats information revealed or transmitted as the resource to be conserved. On the one hand, information complexity leads to extensions of classical information and coding theory to interactive scenarios. On the other hand, it provides us with tools to answer open questions about communication complexity and related areas. This note gives an overview of communication complexity and some recent developments in two-party information complexity and applications. The note is based on a talk given by the author at the International Congress of Mathematicians in 2022. It expands on some of the themes from the talk. It also provides references that were omitted during the talk. This is a preliminary version. An updated final version will appear after the ICM.
Governmentally ampliﬁed output volatility

Predominant government behavior is decomposed by frequency into several periodic components: updating cycles of infrastructure, Kuznets cycles, ﬁscal policy over business cycles, and election cycles. Little is known, however, about the theoretical impact of such cyclical behavior in public ﬁnance on output ﬂuctuations. Based on a standard neoclassical growth model, this study intends to examine the frequency at which public investment cycles are relevant to output ﬂuctuations. We ﬁnd an inverted U-shaped relationship between output volatility and length of cycle in public investment. Moreover, with a numerical setting, we show that periodic behavior in public investment at low frequencies—such as updating cycles of infrastructure and Kuznets cycles—can cause aggravated output resonance.
ENHANCING FILE AND SYSTEM SECURITY BY ADDING LOADABLE KERNEL MODULE FOR REMOVABLE STORAGE DEVICE

As computer systems are secured using password mechanism, attempts are made to take undueadvantage by hacking passwords. Breaking password of the system pose a great threat and proves to be a major handicap in file security. Ease with which login step can be bypassed, is point to be concerned. Generating evidence against intruder is another challenge in digital forensic investigation. Application level solutions regarding this issue are frail. Use of biometric password is preferable but costly option. This invokes the need of system level security mechanism with low cost hardware. This paper proposes one solution to enhance file and system security. Along with password, removable storage device can be used as additional parameter, for authenticating access to file and system. To achieve proposed technique, preinstalled plug-ins in the form of Loadable Kernel Modules (LKM) are added in Linux (kernel 2.6.x) based operating system.
Morphology of faint blue galaxies

The morphology of 30 flat spectrum (V−I ≤ 0.8), relatively faint (22 ≤ V ≤ 24), low surface brightness (S(V) > 23) galaxies is briefly analysed using good images of five rich galaxy fields obtained with excellent seeing. These objects do not belong to a single populations and can be classified in three types depending on their compactness and multiplicity. Namely there is : (a) a class of compact objects surrounded by a nebulosity, (b) a class of irregular objects with probable isophote distortions at the limite of resolution, and (c) double or multiple systems