bluuebunny/crossref_metadata_2025 huggingface dataset:
Environmental Factors Affecting the Efficiency of Water Reservoir Restoration Using Microbiological Biotechnology
Authors: Mazur Robert , Jakubiak Mateusz , Santos Luís
Published: November 2023

Aquatic ecosystems are often subject to degradation due to various environmental stressors. The accumulation of an organic sediment layer causes shallowing, algal blooms, and hypertrophy in water reservoirs. The processes of overgrowth and shallowing lead to a reduction in the ecosystem services provided by the reservoir as well as may potentially cause the disappearance of the water body. To address these challenges and restore the ecological balance of water reservoirs, effective and sustainable revitalisation methods are essential. In recent years, biotechnological approaches, particularly utilizing microbiological interventions, have emerged as promising strategies for water reservoir revitalization. Microorganisms, with their remarkable ability to degrade pollutants and enhance nutrient cycling, offer great potential in remediating environmental issues in a natural and eco-friendly manner. The article presents the results of a study of 34 Polish reservoirs subjected to reclamation with microbial biopreparations from 2014 to 2023. The results of changes in bottom sediment reduction, water transparency, dissolved oxygen concentration, and water turbidity are presented. Reduction of and morphological changes in the fraction of soft organic sediments, an improvement in the oxygen profile of the bottom and surface water layers, and an increase of water transparency were observed after the reclamation with the use of biopreparations.
The Functional Roles of MDSCs in Severe COVID-19 Pathogenesis
Authors: Chan Kuan Rong , Len Jia Soon , Koh Clara WT
Published: November 2023

Severe COVID-19 is a major cause of morbidity and mortality worldwide, especially to those with co-morbidities, the elderly and the immunocompromised. However, the molecular determinants critical for severe COVID-19 progression remain to be fully elucidated. Meta-analysis of transcriptomic RNAseq and single-cell sequencing datasets comparing between severe and mild COVID-19 patients have demonstrated that the early expansion of myeloid-derived suppressor cells (MDSCs) could a key feature of severe COVID-19 progression. Besides serving as potential early prognostic biomarkers for severe COVID-19 progression, several studies have also indicated the functional roles of MDSCs in severe COVID-19 pathogenesis and possibly even long COVID. Given the potential links between MDSCs and severe COVID-19, we examined the existing literature summarizing the characteristics of MDSCs, the evidence of MDSCs in facilitating severe COVID-19 pathogenesis and discuss the potential therapeutic avenues that can be explored to reduce the risk and burden of severe COVID-19. We also provide a web app where users can visualise the temporal changes of specific genes or MDSC-related gene sets during severe COVID-19 progression and disease resolution at https://temporal-severe-covid.streamlit.app/, based on our previous study described by Ong et al., 2021.
Space Flight Enhances Autophagy-like Behavior in Human Neural Stem Cells
Authors: Carpo Nicholas , Tran Victoria , Biancotti Juan Carlos , Cepeda Carlos , Espinosa-Jeffrey Araceli
Published: November 2023

Mammalian cells have evolved to function under Earth’s gravity, but how they respond to microgravity remains largely unknown. Neural stem cells (NSCs) are essential for the maintenance of central nervous system (CNS) functions during development and the regeneration of all CNS cell populations. Here, we examined the behavior of space (SPC)-flown NSCs as they readapted to Earth’s gravity. We found that most of these cells survived the space flight and self-renewed. Yet, some showed autophagy-like behaviors (ALB). To ascertain if the secretome from SPC-flown NSCs contained molecules inducing this behavior, we incubated naïve, non-starved NSCs in a medium containing SPC-NSCs secretome. We found a four-fold increase in the ALB rate. Proteomic analysis of the secretome revealed that the protein of highest content produced by SPC-NSCs was secreted protein acidic and rich in cysteine (SPARC), which triggers endoplasmic reticulum (ER) stress leading to lethal ALB. These results offer novel knowledge on the response of neural cells, particularly NSCs, subjected to space microgravity. Moreover, some secreted proteins have been identified as microgravity sensing, paving a new venue for future research aiming at targeting SPARC metabolism. Although we did not establish a direct relationship between ALB and SPARC as a potential marker, these results represent the first step in the identification of gravity sensing molecules as targets to be modulated and to design effective countermeasures to mitigate intracranial hypertension in astronauts using structure-based-protein design.
Investigation of Phishing Susceptibility with Explainable Artificial Intelligence
Authors: Fan Zhengyang , Li Wanru , Laskey Kathryn Blackmond , Chang Kuo-Chu
Published: November 2023

As artificial intelligence continues to advance, researchers are increasingly using machine learning algorithms to study the factors that make people more susceptible to phishing scams. Most studies in this area have taken one of two approaches: either they explore statistical associations between various factors and susceptibility, or they use complex models such as deep neural networks to predict phishing behavior. However, these approaches have limitations in terms of providing practical insights for individuals to avoid future phishing attacks and delivering personalized explanations regarding their susceptibility to phishing. In this paper, we propose a machine learning approach that leverages explainable artificial intelligence techniques to examine the influence of human and demographic factors on susceptibility to phishing attacks. Our analysis reveals that psychological factors such as impulsivity and conscientiousness, as well as appropriate online security habits, significantly affect an individual's susceptibility to phishing attacks. Furthermore, our individualized case-by-case approach offers personalized recommendations on mitigating the risk of falling prey to phishing exploits, considering the specific circumstances of each individual.
PENERAPAN “ASAS KEADILAN” DALAM SENGKETA KEPAILITAN DALAM RANGKA MELINDUNGI KEPENTINGAN DEBITUR (Studi Putusan : Nomor 44pk/Pdt.Sus-Pailit/2016)
Authors: Rachman Raihan , Muryanto Yudho Taruno
Published: November 2023

Bankruptcy is a legal process when a debtor who go through difficulty to pay the debt to the creditor hence it is stated as bankrupt through commercial court. In the court process of bankruptcy legal action, there are principles which become foundation to execute the bankruptcy process in accordance with the Act No. 37 Year 2004 about PKPU (Penundaan Kewajiban Pembayaran Utang/Suspension of debt payment obligations) and Bankruptcy. This research aimed to acknowledge the implementation of justice principle in the bankruptcy legal action between Acrossasia Limited and PT. First Media Tbk, also the power of bankruptcy legal verdict especially on the verdict of No. 44PK/Pdt.Sus-Pailit/2016 which not in accordance with the bankruptcy requirements. This research used normative method which means the writer studied the existing laws and regulations. Moreover, the research used case approach to find a complete picture of a situation. The research results of this article show that this decision has permanent power and execution but in this decision it does not apply as justice which is a condition in bankruptcy.
ANALYTICAL ANALYSIS OF THE THEORETICAL SURFACE ROUGHNESS IN THE CASE OF BURNISHING OF CYLINDRICAL WORKPIECE
Authors: Ferencsik Viktoria
Published: November 2023

In the last decade, ensuring the highest possible surface quality of manufactured parts has been given a major priority, so more and more emphasis is being placed on the examination and development of finishing treatments that can effectively ensure increasingly stringent surface roughness. For this purpose, diamond burnishing - which is a widely used cold plastic technology - can be used productively as it can improve the surface roughness of the material. But even though due to the development of engineering technology, new possibilities and methods are constantly being developed to examine individual material structure changes, the ability to plan the surface roughness is very difficult. This paper focused on the determination of theoretical roughness to establish a mathematical model that can predict and analyse the relationship between experimental process parameters and surface roughness parameters. To validate the model, real experiments were performed, where the surface roughness were measured before and after the application of burnishing process on low alloyed aluminium shaft pieces.
LASER MEASUREMENTS IN CUTTING PROCESSES
Authors: Béres Miklós , Varga Gyula
Published: November 2023

Laser measurements are used chiefly for experiments during metal cutting. The recent development of laser technology offers chances that are advisable to take advantage of machine manufacturing. This article presents some measuring applications for metal cutting. Its purpose is to show separate literature on each technology to provide insight into the possibilities of laser measurements.
Per and poly-fluoroalkyl substance (PFAS) removal by a radial flow cartridge system
Authors: Dalrymple Brad , Allingham Blake , Wicks Michael , Jones Warren , McDonald James
Published: November 2023

The environmental management of per and poly-fluoroalkyl substances (PFAS) is a high priority for environmental regulators around the world. There is a need for technologies that can appropriately remove PFAS from surface water. Two field-scale studies were undertaken of a radial flow cartridge system (RFCS) installed to remove PFAS from surface water at a site in Western Sydney, NSW, Australia. The RFCS incorporated a media blend for the removal of PFAS previously tested in a laboratory-scale environment by Allingham et al (2020). Results from the first field study demonstrated a PFAS removal of 87% (at a mean influent concentration of 1.43 μg/L) for a total load removal of 0.34 grams during the peak performance period – after which replacement of the RFCS media would likely be recommended to ensure high PFAS removal rates for a single RFCS. The second field study incorporated pre-treatment using a membrane cartridge system (prior to subsequent treatment by the RFCS) and demonstrated a PFAS removal of 93% (at a mean influent concentration of 66.6μg/L) for a total load removal of 2.01 grams of PFAS removed during the peak performance period. In addition to the high rate of PFAS removal provided, the RFCS is anticipated to provide additional benefits (in comparison to alternative PFAS removal technologies) that will augment the installation and operation of these systems, particularly at constrained sites, such as the ability of the system to be installed and operated below ground level.
Assessing the hygienic aspects of informational overload impact on the level of occupational risk
Authors: Fedotova I.V. , Nekrasova M.M. , Vasil’yeva T.N.
Published: November 2023

The monograph examines problems caused by the development of the digital economy, the increase in the number of intellectual workers and the need to create a methodological basis for information hygiene in order to assess and manage occupational risk. The results of the study of the influence of information mental load on workers of various professional groups whose working conditions are associated with the use of computer technologies are presented in the monograph. The information and diagnostic value of methods aimed at quantitative and qualitative assessment of information flows, psychophysiological functions of the body of workers, the state of the cardiovascular and nervous systems is analyzed. A methodological complex has been substantiated with the help of which one can assess the level of information load and the degree of its influence on the functional state of the body of workers and their performance. Courses for preventing the development of fatigue and stress have been considered, and the need to regulate information loads seems to be acute. The monograph is intended for researchers, teachers of medical educational organizations, graduate students, specialists from Rospotrebnadzor organizations, as well as for a wide range of readers interested in addressing the problematic issues.
Protocol for subcutaneous implantation of polyethylene tubes containing endodontic reparative materials in 12-week-old Wistar rats
Authors: Pelepenko Lauter Eston , Hewitt Benjamin , Janini Ana Cristina Padilha , Moraes Brenda Fornazaro , Pereira Jennifer Santos , Leutz Anna Carolina Neves , Marciano Marina Angélica
Published: November 2023

The subcutaneous implantation of filled polyethylene tubes is traditionally used to investigate local biological responses to a material placed within this type of tube. An extensive report regarding this implantation technique in the 1960’s validated this type of implantation since their results indicated that “after 60 days of implantation the tubes were surrounded by a noninflamed connective tissue capsule”. Thus, a potential tissue reaction (i.e., inflammation) to an implanted filled tube could be attributed to the material/substance within the tube. However, it is crucial to include in the experimental setup empty tubes to be implanted similarly, serving as controls. Here, we describe a protocol for tube implantation used to investigate in vivo the tissue response to implanted polyethylene tubes containing calcium silicate-based materials. The expected results following these implantations include qualitative histological analysis and, additionally, quantitative data from score analysis are also obtainable.
Behçet's disease in pregnancy:A case report and literature review
Authors: li xiangyue , huang Xuemei , Yu Xiaolan
Published: November 2023

Background：Behçet's disease (BD) in pregnancy is a relatively rare disease,and there are no guidelines for it. It is such a rare disease that obstetricians have not enough experience in diagnosis and treatment. Herein,we introduce the process of diagnosis and treatment of a patient with BD in pregnancy.
Case presentation：A 20 years old woman, gravida 2, para 1,presented in our inpatient department with recurrent oral and genital ulcers at 28 weeks and 3 days of gestation. Considering the specility of the patient,we started the first multidisciplinary consulation to make sure treatment regimens. However,the initial treatment was not effective, and the patient had a fever for four days. So we initiated the second multidisciplinary consulation. The final treatment regimen included azithromycin, hydroxychloroquine,prednisone,low-molecular heparin calcium. The clinical symptoms were gone and the female neonate was delivered successfully. No relapse was found during 4-month follow-up.
Conclusions：The critical issues in the treatment are medication safety in pregnant women and avoidance of adverse pregnancy outcomes. Multidisciplinary consulation is a effective way to solve the treatment regimens. Obstetricians should closely monitor disease progression and pay attention to complications in time to minimize adverse pregnancy outcomes.
The Incidence of Forced Migration and Access to COVID-19 Services in West Africa
Authors: Targba Aondowase
Published: November 2023

Background
The paper focuses on the accessibility of COVID-19 services to forced migrants in selected countries in West Africa. The selected countries are Burkina Faso, Mali, Niger and Nigeria. The work is also focused on the risk of forced migrants to the contraction of the COVID-19; and the integration of forced migrants into COVID-19 national response programmes in West Africa.
Methods
The study was by desk research based on secondary sources of data from the United Nations, government and nongovernmental organizations, and other relevant publications.
Results
Findings revealed that forced migrants in conflict-stricken areas have no or little access to COVID-19 services. It was also discovered that forced migrants are not adequately included in COVID-19 national response plans.
Conclusion
COVID-19 response strategies at both sub-regional and national levels are not targeted at forced migrants or hard-to-reach populations. Poor living conditions are one of the many factors that make forced migrants vulnerable to the contraction of COVID-19 and other communicable diseases in IDP and refugee camps.
Data-driven Simulations For Training AI-Based Segmentation of Neutron Images
Authors: Sathe Pushkar S. , Wolf Caitlyn M. , Kim Youngju , Robinson Sarah M. , Daugherty M. Cyrus , Murphy Ryan P. , LaManna Jacob M. , Huber Michael G. , Jacobson David L. , Kienzle Paul A. , Weigandt Katie M. , Klimov Nikolai N. , Hussey Daniel S. , Bajcsy Peter
Published: November 2023

Neutron interferometry uniquely combines neutron imaging and scattering methods to enable characterization of multiple lengthscales from 1 nm to 10 μm. However, building, operating, and using such neutron imaging instruments poses constraints on theacquisition time and on the number of measured images per sample. Experiment time-constraints yield small quantities ofmeasured images that are insufficient for automating image analyses using supervised artificial intelligence (AI) models. Oneapproach alleviates this problem by supplementing annotated measured images with synthetic images. To this end, we createa data-driven simulation framework that supplements training data beyond typical data-driven augmentations by leveragingstatistical intensity models, such as the Johnson family of probability density functions (PDFs). We follow the simulationframework steps for an image segmentation task including Estimate PDFs → Validate PDFs → Design Image Masks →Generate Intensities → Train AI Model for Segmentation. Our goal is to minimize the manual labor needed to execute the stepsand maximize our confidence in simulations and segmentation accuracy. We report results for a set of nine known materials(calibration phantoms) that were imaged using a neutron interferometer acquiring four-dimensional images and segmented by AI models trained with synthetic and measured images and their masks.
Exploring Quantum Systems for Pseudo-Random Number Generation
Authors: Cruz Luis José Mantilla Santa , Faina Luis F. , Pereira João Henrique de Souza
Published: November 2023

Quantum realizations have opened a new ways for computer science. The new characteristics and phenomenons allow us to create new algorithms for general proposes. An interesting topic is random number generation. There are two perspectives for this proposes. True random numbers generator (TRN) and pseudo random numbers generator (PRNG). True Random Number Generators has four significant characteristics: randomness, long Period, insensitivity to seeds, repeatability. Additionally, Pseudo Random Number Generators is a fascinating topic that leverages the principles of computer science to craft deterministic algorithms, enabling the creation of a sequence of pseudo-random numbers. A crucial element in this process is the 'seed', which serves as the initial value to generate the entire sequence. This document proposes a algorithm based on a quantum system and the quasi-probability of its possible states to generate a long set of numbers which has pseudo random properties. The quantum system is compound by n qubits, its initial conditions and a small set of rotation gates with a fixed angle. The tests were realized using the battery test called NIST SP800-22, and alpha=0.01 as a threshold to ensures 99\% of precision. The results demonstrate that it is possible generate a long set of pseudo numbers with random characteristics using a quantum simple operation. However, the experiments reveal that a real world implementation require a quantum system with at least 10-9 precision order.
The association of the expression of RBX1 and BAMBI in polycystic ovarian syndrome patients' cumulus cells and oocyte maturation
Authors: Monshizadeh Kimia , Tajamolian Masoud , Anbari Fatemeh , Mehrjardi Mohammad Yahya Vahidi , Kalantar Seyed Mehdi , Dehghani Mohammadreza
Published: November 2023

Background
As a prevalent endocrine illness, polycystic ovarian syndrome (PCOS) affects 6–20% of women who are at reproductive age. Follicular development can be impaired by hyperandrogenism, which is a PCOS symptom. Follicular growth disruptions in PCOS patients cause problems with oocyte development and embryonic growth. Nevertheless, the cause of PCOS remains ambiguous. By exploring the expression pattern of cumulus cells, which are important for the maturation and quality of oocytes, it might be possible to identify the genes that are associated with PCOS as well as oocyte maturation. A multi-subunit proteasome that includes RBX1 can indirectly activate APC/Cdc20, enabling oocytes to bypass the GV stage and advance to the MII stage. The WNT signaling pathway is critical for development, healthy ovarian function, and fertility. This pathway can be favorably activated by the BAMBI gene. This study seeks to examine how RBX1 and BAMBI relate to the development of PCOS and oocyte maturation.
Methods
In this experiment, we gathered the cumulus cells of mature (38 case and 33 control) and immature (38 case and 33 control) oocytes from women with/without PCOS. Besides, quantitative RT-PCR was used to assess the semi-quantitative expression of BAMBI and RBX1.
Results
According to our research, the expression of RBX1 and BAMBI in PCOS patients was significantly lower than that in non-PCOS patients. There also emerged a significant difference of expression between these two genes when they were considered in terms of their maturation stage.
Conclusion
This research raises the possibility of RBX1 and BAMBI involvement in oocyte quality in PCOS women.
Clinical outcomes of patients with mut-type methylmalonic acidemia identified through expanded newborn screening in China
Authors: Ling Shiying , Wu Shengnan , Shuai Ruixue , Yu Yue , Qiu Wenjuan , Wei Haiyan , Yang Chiju , Xu Peng , Zou Hui , Feng Jizhen , Niu Tingting , Hu Haili , Zhang Huiwen , Liang Lili , Wang Yu , Chen Ting , Xu Feng , Gu Xuefan , Han Lianshu
Published: November 2023

Background
Isolated methylmalonic acidemia, an autosomal recessive disorder of propionate metabolism, is usually caused by mutations in the methylmalonyl-CoA mutase gene (mut-type). Because no universal consensus was made on whether mut-type methylmalonic acidemia should be included in newborn screening (NBS), we aimed to compare the outcome of this disorder detected by NBS with that detected clinically and investigate the influence of NBS on the disease course.
Design & Methods
In this study, 168 patients with mut-type methylmalonic acidemia diagnosed by NBS were compared to 210 patients diagnosed after disease onset while NBS was not performed. Clinical data of these patients from 7 metabolic centers in China were analyzed retrospectively, including initial manifestations, biochemical metabolites, the responsiveness of vitamin B12 therapy, and gene variation, to explore different factors on the long-term outcome.
Results
By comparison of the clinically-diagnosed patients, NBS-detected patients showed younger age at diagnosis, less incidence of disease onset, better responsiveness of vitamin B12, younger age at start of treatment, lower levels of biochemical features before and after treatment, and better long-term prognosis (P < 0.01). Onset of disease, blood C3/C2 ratio and unresponsiveness of vitamin B12 were more positively associated with poor outcomes of patients whether identified by NBS. Moreover, the factors above as well as older age at start of treatment were positively associated with mortality.
Conclusions
This research highly demonstrated NBS could prevent major disease-related events and allow an earlier treatment initiation. As a key prognostic factor, NBS is beneficial for improving the overall survival of infants with mut-type methylmalonic acidemia.
Generative Adversarial Networks with Gramian Angular Field for Handling Imbalanced Data in Specific Emitter Identification
Authors: Zhang Yezhuo , Zhou Zinan , Li Xuanpeng
Published: November 2023

Specific Emitter Identification (SEI) is a methodology employed to identify emitters by exploiting the hardware impairments inherent in transmitting devices. In the real world, there are challenges in performing SEI on radiation source signals, such as serious imbalance among samples, leading to low model accuracy, poor generalization, and limited practical application. These challenges widely occur in modern military, security, and other fields, but related research works have been conducted relatively late. In this paper, we propose a Generative Adversarial Network (GAN) with the Gramian Angular Field (GAF) method to address few-shot case data. Specifically, the proposed method employs GAF transformation to convert temporal radar data into a two-dimensional image format and utilizes an enhanced GAN to improve the classifier for imbalanced data based on the characteristics of GAF through training on both augmented and original samples. The experiments were conducted on real-world Automatic Dependent Surveillance-Broadcast (ADS-B) signals, demonstrating the effectiveness of the proposed method. The method could significantly improve the performance of the SEI model in inter-class imbalanced scenarios.
Understanding Neural Networks withLogarithm Determinant Entropy Estimator
Authors: Zhouyin Zhanghao , Liu Ding
Published: November 2023

Measuring entropy and entropy based informative functionals plays a vital role in many aspects of modern machine learning. However, recent practices often comes across problems such as ineffective of high-dimensional samples, or expensive computation and storage. These challenges in measuring could limit the implementation of machine learning methods based on information theory. To address, we proposed LogDet estimator – a reliable matrix-based entropy estimator based on the logarithm determinant of the distance matrix. We construct informative functionals of multivariate samples and design tests to ensure it is free from saturation problems in high dimensions. Besides, our method scales linearly in storage with the same computation complexity as the recently proposed α-Rényi entropy, which makes it more suitable for real-world practices of modern machine learning,such as neural network analysis, feature selection and design optmization objectives. For application, we utilize this method to analyze theinformative behaviour of neural networks, which gives a novel empirical interpretation of neural networks’ Information Bottleneck Theory.
A functional-analysis derivation of the parquet equation
Authors: Eckhardt Christian J. , Kappl Patrick , Kauch Anna , Held Karsten
Published: November 2023

The parquet equation is an exact field-theoretic equation known since the 60s that underlies numerous approximations to solve strongly correlated Fermion systems. Its derivation previously relied on combinatorial arguments classifying all diagrams of the two-particle Green’s function in terms of their (ir)reducibility properties. In this work we provide a derivation of the parquet equation solely employing techniques of functional analysis namely functional Legendre transformations and functional derivatives. The advantage of a derivation in terms of a straightforward calculation is twofold: (i) the quantities appearing in the calculation have a clear mathematical definition and interpretation as derivatives of the Luttinger-Ward functional; (ii) analogous calculations to the ones that lead to the parquet equation may be performed for higher-order Green’s functions potentially leading to a classification of these in terms of their (ir)reducible components.
On old relations of Lie theory, classical geometry and gauge theory
Authors: Dahm Rolf
Published: November 2023

Having been led by hadron interactions and low-energy photoproduction to SU(4) and non-compact SU*(4) symmetry, the general background turned out to be projective geometry (PG) of P^3P3, or when considering line and Complex geometry to include gauge theory, aspects of P^5P5. Point calculus and its dual completion by planes introduced quaternary (quadratic) “invariants” x_{\mu}x^{\mu}=0xμxμ=0 and p_{\mu}p^{\mu}=0pμpμ=0, and put focus on the intermediary form (xu)(xu) and its treatment. Here, the major result is the identification of the symmetric 20 of SU(4) comprising nucleon and Delta states as related to the quaternary cubic forms discussed by Hilbert in his work on full invariant systems. So PG determines geometrically the scene by representations (reps) and invariant theory without having to force affine restrictions and additional (spinorial or gauge) rep theory.
Study of entanglement in symmetric multi-quDits systems through information diagrams
Authors: Guerrero Julio , Sojo Antonio , Mayorgas Alberto , Calixto Manuel
Published: November 2023

Along this paper, we analyze the entanglement properties of symmetric multi-quDits systems in a special type of states created from the generalization to U(D) of the usual spin coherent states. By means of parity operators, we define what we call multicomponent Schrödinger cat states as parity adapted coherent states. Introducing the tool of information diagrams, i.e. representations of pairs of entropy measures, we analyze the correlation structure of this type of states and their M-wise reduced density matrices.
Hyperquaternions and physics
Authors: Girard Patrick R. , Pujol Romaric , Clarysse Patrick , Delachartre Philippe
Published: November 2023

The paper develops, within a new representation of Clifford algebras
in terms of tensor products of quaternions called hyperquaternions,
several applications. The first application is a quaternion 2D
representation in contradistinction to the frequently used 3D one. The
second one is a new representation of the conformal group in (1+2) space
(signature
+--
+−−)
within the Dirac algebra
C_{5}\left(2,3\right) \simeq \mathbb{C\otimes H\otimes H}
C5(2,3)≃ℂ⊗ℍ⊗ℍ
subalgebra of
\mathbb{H\otimes H\otimes H}
ℍ⊗ℍ⊗ℍ.
A numerical example and a canonical decomposition into simple planes are
given. The third application is a classification of all hyperquaternion
algebras into four types, providing the general formulas of the
signatures and relating them to the symmetry groups of physics.
Quantum cylindrical integrability in magnetic fields
Authors: Kubů Ondřej , Šnobl Libor
Published: November 2023

We present the classification of quadratically integrable systems of the cylindrical type with magnetic fields in quantum mechanics. Following the direct method used in classical mechanics by [F Fournier et al 2020 J. Phys. A: Math. Theor. 53 085203] to facilitate the comparison, the cases which may a priori differ yield 2 systems without any correction and 2 with it. In all of them the magnetic field B coincides with the classical one, only the scalar potential W may contain a \hbar^2ℏ2-dependent correction. Two of the systems have both cylindrical integrals quadratic in momenta and are therefore not separable. These results form a basis for a prospective study of superintegrability.
SO(1,3) Yang-Mills solutions on Minkowski space via cosets
Authors: Kumar Kaushlendra
Published: November 2023

We present a novel family of Yang-Mills solutions, with gauge group SO(1,3), on Minkowski space that are geometrically distinguished into two classes, viz. interior and exterior of the lightcone. We achieve this by foliating the former with SO(1,3)/SO(3) cosets and the latter with SO(1,3)/SO(1,2) cosets and analytically solving the Yang-Mills equation of an SO(1,3)-invariant gauge field. The resulting fields and their stress-energy tensor, when translated to the Minkowski space, diverge at the lightcone, but we demonstrate how this stress-energy tensor could be regularised due to its unique algebraic structure.
Mixed permutation symmetry quantum phase transitions of critical three-level atom models
Authors: Mayorgas Alberto , Guerrero J. , Calixto Manuel
Published: November 2023

We define the concept of Mixed Symmetry Quantum Phase Transition (MSQPT), considering each permutation symmetry sector \muμ of an identical particles system, as singularities in the properties of the lowest-energy state into each \muμ when shifting a Hamiltonian control parameter \lambdaλ. A three-level Lipkin-Meshkov-Glick (LMG) model is chosen to typify our construction. Firstly, we analyze the finite number NN of particles case, proving the presence of MSQPT precursors. Then, in the thermodynamic limit N\to∞N→∞, we calculate the lowest-energy density inside each sector \muμ, augmenting the control parameter space by \muμ, and showing a phase diagram with four different quantum phases.
Construction of matryoshka nested indecomposable N-replications of Kac-modules of quasi-reductive Lie superalgebras, including the sl(m/n) and osp(2/2n) series
Authors: Thierry-Mieg Jean , Jarvis Peter D. , Germoni Jerome , Gorelik Maria
Published: November 2023

We construct a new class of finite dimensional indecomposable representations of simple superalgebras which may explain, in a natural way, the existence of the heavier elementary particles. In type I Lie superalgebras sl(m/n) and osp(2/2n) , one of the Dynkin weights labeling the finite dimensional irreducible representations is continuous. Taking the derivative, we show how to construct indecomposable representations recursively embedding N copies of the original irreducible representation, coupled by generalized Cabibbo angles, as observed among the three generations of leptons and quarks of the standard model. The construction is then generalized in the appendix to quasi-reductive Lie superalgebras.
Extensions of realisations for low-dimensional Lie algebras
Authors: Yehorchenko Iryna
Published: November 2023

We find extensions of realisations of some low-dimensional Lie algebras, in particular, for the Poincaré algebra for one space dimension. Using inequivalent extensions, we performed comprehensive classification of relative differential invariants for these Lie algebras. We show difference between classification of extensions of realisations, and classification of nonlinear realisations of Lie algebras.
MECHANICAL AND THERMAL CHARACTERIZATION OF CLAY WITH A VIEW TO POPULARIZING ITS USE AS AN ECOLOGICAL MATERIAL IN CONSTRUCTION
Authors:   Department of Technology, Faculty of Exact and Applied Sciences, University of NDjamena, Chad., A.A Mahamat , M.Y Idriss ,   Department of Chemistry, Faculty of Exact and Applied Sciences, University of NDjamena, Chad., N.A Mahamat ,   Department of Geology, Faculty of Exact and Applied Sciences, University of NDjamena, Chad., M.T Abakar ,   Department of Technology, Faculty of Exact and Applied Sciences, University of NDjamena, Chad., H. Abdraman ,   Department of Geology, Faculty of Exact and Applied Sciences, University of NDjamena, Chad., R.M Mouangue ,   Department of Thermal Engineering, National Higher Polytechnic School of Douala, Univrsity of Douala, Cameroon.
Published: November 2023

This work is carried out with the aim of enhancing the soils of Djarmaye in order to popularize its use as an ecological material in construction. However, a study of thermo-physical parameters was made to see the influence of cow dung in the mixture. As a result, thermal characterization tests were carried out, using the hot wire method for the determination of thermal conductivity, supported by the hot plane option for the determination of thermal conductivity.supported with the hot plane option for the determination of thermal effusivity was used. The test tubes are made with an incorporation of 0%, 2% and 4% by mass of cow dung. The parameters studied are the thermal conductivity, the thermal effusivity, and the thermal capacity by volume of the specimens. The results showed that the thermal conductivity decreases with cow dung, which confirms its use as an additive to obtain a good thermal insulator.
Cognitive impairment and depression
Authors: Preobrazhenskaya I. S.
Published: November 2023

The commonality of cognitive impairment and depression is discussed. Cognitive symptoms are the main symptoms of depressive disorder  and, most often, it is cognitive  impairment that  reduces  the performance and quality of life of depressed patients. The most common  cognitive  disorders  in depressed patients are: attention deficit (both visual and auditory), decrease in the  level of short-term and operative  memory, difficulties in processing  information  of any modality, a decrease in the speed of information processing, as well as difficulties in building an activity program and monitoring her execution. A cognitive symptom that requires further  discussion  is the so-called  cognitive  distortion  – a shift in focus from positive  to negative  stimuli, as well as incorrect reactions  to negative  feedback and decision making. A depressive  episode  develops  against  the background  of dysmetabolic and dysfunctional  cerebral  changes  in the  amygdala,  cingulate  cortex, hippocampus,  orbitofrontal and  mediobasal frontal  cortex. Cognitive impairment in patients who have had depression persists  after recovery from depression;  according  to the figurative expression  adopted in the scientific community of specialists  studying cognitive impairment in depression, each depressive  episode  forms permanent “cognitive scars”. Presumably, cognitive  dysfunction  may be one of the  risk factors  for the  development of a depressive  disorder; depression, in turn, is a risk factor for the development of dementia, including in Alzheimer’s disease and cerebrovascular disease: studies  have shown that the transformation of severe cognitive impairment associated with depression into dementia in elderly patients can reach 70% in five years. The undoubted commonality of depression and cognitive dysfunction is emphasized by the frequency of depression in patients with cognitive impairment.
Association of serum chemerin levels with complications and comorbidity in rheumatoid arthritis
Authors: Papichev E. V. , Akhverdyan Yu. R. , Polyakova Yu. V. , Sivordova L. E. , Zavodovsky B. V.
Published: November 2023

Introduction. Rheumatoid arthritis (RA) is a systemic autoimmune disease as well as a typical inflammatory process. Chemerin is a fat tissue cytokine, which specific receptors were discovered on the surface of the innate immune cells. It is of interest to study the association of chemerin with the complications and comorbidity in RA.

Aim. To study the association between serum chemerin levels with complications and comorbidity in rheumatoid arthritis.

Materials and methods. 88 women with RA were enrolled in our study. ll patients undergone standard clinical and laboratory examination. Serum chemerin, high-sensitive C-reactive protein (hsCRP), anti-citrullinated protein antibodies, insulin and C-peptide levels were determined using ELISA. X-ray absorptiometry was performed. Statistical analysis was performed using conventional methods with a software package Statistica 10.0.

Results. Median chemerin concentration was  463.5  [366–576.5]  ng/ml.  Chemerin  concentration  correlated  with the age (ρ = 0.232; р = 0.030), weight (ρ = 0.254; р = 0.017) and body mass index (BMI) (ρ = 0.212; р = 0.047), but wasn’t associated with the RA classification criteria. Positive correlation between chemerin concentration and number of painful joints (NPJ) (ρ = 0.213; р = 0.046) and hsCRP (ρ = 0.273; р = 0.010) was observed. Patients with type 2 diabetes mellitus (DM2) had higher chemerin concentration (598.0 ng/ml vs 479.5 ng/ml, Z = -2.68; p = 0.007) and patients with cholecystectomy in anamesis had lower (359.0 ng/ml vs 479.0 ng/ml, Z = 2.02; p = 0.043). Chemerin concentration correlated with systolic and diastolic blood pressure (BP) (ρ = -0.41; р < 0.001 and ρ = -0.27; р = 0.028, respectively).

Conclusions. Chemerin concentration in women with RA correlates with age, weight, BMI, NPJ and hsCRP. Chemerin concentration in patients with comorbid DM2 was higher and in patients comorbid with cholecystectomy in anamnesis was lower. Chemerin concentration correlates negatively with a systolic and diastolic BP.
Treatment of insomnia in elderly patients with headaches
Authors: Golovacheva V. A. , Golovacheva A. A.
Published: November 2023

The article describes  clinical cases of elderly patients with primary headaches and insomnia  managed in neurological practice. The first clinical case provides  details  of the  typical medical  history of a female  patient  with acute  insomnia  and episodic tension-type headache, the  second  one describes  the  typical medical  history of a patient  with chronic insomnia  and chronic migraine. Clinical examples  demonstrate common errors in the management of patients with insomnia  and primary headaches in real-life medical practice. The influence  of psychosocial  (stress, anxiety, negative  misconceptions about the disease,  dysfunctional   behaviour,  symptom  catastrophizing)  and  iatrogenic   (ordering  excessive   additional diagnostic   tests, over-diagnosing of detected structural changes  in the spine, neck vessels, brain, diagnostic  errors, prescribing  of ineffective treatment) factors on the development of insomnia and increase  of headaches in frequency is shown. The features  of the presented  clinical cases  are to demonstrate the relationship between insomnia  and increased frequency of primary headaches. Patients were  treated using  the  interdisciplinary program  comprising  non-drug  treatments and  drug  therapy. It has  been shown that the treatment of insomnia can not only improve the quality of sleep, but also reduce the frequency of headaches.

SonNorm Duo containing melatonin, motherwort extract  and peppermint leaf oil was used as a drug therapy  for acute  and chronic insomnia. Melatonin  and substances of plant  origin have a high level of effectiveness in the treatment of insomnia and are recommended as drugs to be used first to treat  insomnia. The drug therapy of acute  and chronic insomnia  was combined  with highly effective  non-drug  treatments: an educational program  to improve sleep  hygiene, cognitive  behavioural therapy, and relaxation exercises. During treatment, patients reported an improvement in their sleep quality as early as in the first month. A stable  normalization of sleep  and a significant decrease in headache frequency in a patient  with acute  insomnia and episodic  tension-type headache occurred  after  the  fifth week of treatment and in a patient  with chronic insomnia and chronic migraine after the second month of treatment. A 12-month follow-up of patients showed that the positive effect of the treatment was maintained.
Personalized approach to choosing an analgesic for the treatment of musculoskeletal pain
Authors: Karateev A. E.
Published: November 2023

Chronic musculoskeletal pain (CMSP) associated with diseases of the musculoskeletal system is one of the global causes of suffering, disability, and a decrease in the quality of life and its duration for hundreds of millions of people on Earth. Therefore, effective pain control is among the first and most important tasks of the treatment of musculoskeletal diseases. For this purpose, a complex of medications and non-pharmacological approaches (kinesiotherapy, psychological methods, educational programs, etc.) is used. Effective, affordable and convenient nonsteroidal anti-inflammatory drugs (NSAIDs) play a fundamental role among analgesics. They belong to the “first line” drugs for the control of SMB. However, when prescribing them, it is necessary to take into account the presence of comorbid pathology as risk factors for drug complications. At the same time, naproxen is the safest NSAID in terms of cardiovascular risk. The effectiveness of this drug has been proven both in the short-term treatment of acute and long-term therapy of chronic pain. Naproxen is more effective than paracetamol and is not inferior to weak opioids and other NSAIDs, such as ibuprofen and ketorolac. The data of clinical, observational and cohort studies, as well as their meta-analysis, confirm that the risk of cardiovascular complications in the treatment with naproxen is minimal. An urgent problem in the treatment of CMSP is the combination of this pathology with sleep disorders, which determines a significant deterioration in the well-being and quality of life of patients. The use of the combined over-the-counter drug naproxen and diphenhydramine for short-term therapy of insomnia presents new possibilities of pharmacotherapy in this clinical situation.
Sacroiliac joint syndrome is the cause of musculoskeletal back pain
Authors: Belskaya G. N. , Sakharova E. V. , Makarov G. V.
Published: November 2023

The article considers a clinical case of treatment of one of the variants of nonspecific back pain – sacroiliac joint syndrome.   In this case, we tried to demonstrate the importance of timely and accurate determination of the cause of dorsalgia using currently available tools: medical scales, X-ray and MRI examination, diagnostic drug blockade of the pain zone. A scrupulous analysis of complaints, anamnesis and clinical manifestations of the patient, a differential diagnosis with a number of diseases with a similar clinical picture, as well as the choice of treatment tactics based on federal clinical recommendations for the treatment of patients with nonspecific back pain made it possible to quickly determine the diagnosis and cope with the pain syndrome. Therapy with the inclusion of medications, physiotherapy, manual therapy, post-isometric relaxation, physical therapy, posture correction allowed the patient to stop the pain syndrome and return to an active lifestyle. Dexketoprofen (Dexalgin®) was prescribed to relieve the pain syndrome. Optimization of the method of administration of the drug is a step-by-step scheme for prescribing dexketoprofen: parenteral administration of 2 injections (50 mg) intramuscularly daily for 2 days, then transfer to oral Dexalgin intake – 25 mg 2 times a day for 3 days under the guise of proton pump inhibitors – Esomeprazole 40 mg 1 time a day, the use of a patch with a local anesthetic, vitamins of group B – 12 days, therapeutic and diagnostic drug blockades – contributed to a significant reduction in the intensity of the pain syndrome and allowed to prevent its transformation into a chronic process. As a result of the use of complex, pathogenetically based therapy, a rapid positive therapeutic effect was achieved.