bluuebunny/crossref_metadata_2025 huggingface dataset:
“Health Outcomes of Grandparents Caring for Double Orphans in South Africa”: What Are the Determinants?
Authors: Likoko Salmon , Akokuwebe Monica Ewomazino , Osuafor Godswill Nwabuisi , Idemudia Erhabor Sunday
Published: September 2023

Background: In the 21st century, grandparenthood is a significant phenomenon in the fields of demography, gerontology and sociology. It is mainly explored in the context of ageing, as it is poised to become one of the most significant demographic phenomena and social issues in contemporary South Africa. Therefore, this study examined the determinants associated with grandparents who are parenting as caregivers and the health challenges they are exposed to as a caregiver. Methods: The National Income Dynamics Study (NIDS) Wave 5 dataset was utilized, and a total of 302 476 grandparents aged 25 years and older, who reported to be primary caregivers of double orphans, were included in the analysis. Both bivariate and multivariate binary logistics regression were performed to determine the predictors of the determinants of grandparents parenting as a caregiver and their health challenges in South Africa. Estimated odds ratios (ORs) with 95% confidence intervals (CIs) were used, and the threshold for statistical significance was established at ρ< 0.05. Results: A majority of the male and female grandparent caregivers are aged 24-34 years, were black Africans (69.8%), had secondary education (46.9%), reported health challenges (HC) (59.7%), with 26.4% reporting headaches in the last 30 days. Logistic regression revealed that grandparent caregivers aged 55-64 years were 8.9 times more likely to report health challenges as compared to those aged 25-34 years. Non-black African grandparent caregivers were found to be 0.61 times less likely to be report health challenges, compared to Black African grandparent caregivers. Those with perceived poor health status were 3.3 times more likely to report health challenges, compared to those with excellent perceived health status. Conclusion: Therefore, there is an urgent need to redesign health interventions to address these health burdens among grandparent caregivers and to take cognizance of providing economic and social support for these vulnerable populations.
Potassium 6-oxo-7,13,16,22-tetraazatetracyclo[12.6.2.18,12.017,21]tricosa-1(20),8(23),9,11,14,16,18,21-octaen-2-yne-15-carboxylate
Authors: Blouet Camille , Letast Stéphanie , Robert Thomas , Bach Stéphane , Pinaud Noël , Joubert Nicolas , Viaud-Massuard Marie-Claude , Guillon Jean , Logé Cédric , Denevault-Sabourin Caroline
Published: September 2023

Potassium 6-oxo-7,13,16,22-tetraazatetracyclo[12.6.2.18,12.017,21]tricosa-1(20),8(23),9,11,14,16,18,21-octaen-2-yne-15-carboxylate was synthesized through a multi-step pathway starting from commercially available 3-iodo-1,2-phenylenediamine. Structure characterization of this new substituted macrocyclic quinoxaline compound was achieved by using 1H NMR, 13C NMR, and HRMS spectral analysis. This new macrocyclic derivative demonstrated submicromolar potency on both Pim-1 and Pim-2 isoforms, with an interesting selectivity profile against a selected panel of human kinases.
Research to Improve The Test Capacity of Energy–Saving Materials In Vietnam
Authors: Le Song Thi , Le Chien Cao , Zegowitz Andreas , Künzel Hartwig , Luu Hong Thi , Le Thanh Trung , Schwede Dirk , Nguyen Tam Thi
Published: September 2023

This paper reports aligned activities to promote energy and resource-efficient construction practice in Vietnam. First, the governance framework is introduced, including government decrees and technical standards. Then, a laboratory with building physics measurement technology is designed and partly set up at the local partner Vietnam Institute for Building Materials (VIBM), which can be used to determine the essential characteristic values required for the implementation of energy standards. The basis for the prioritization of the characteristic values are the requirements of the National technical regulation on energy efficient buildings of Vietnam – QCVN09:2017/BXD. Furthermore, basic characteristic values from international standards are described, which can also be used for calculations to optimize the energy consumption of buildings. In order to be able to carry out transient hygrothermal computer simulations, special characteristic values were also included. These are particularly useful for the research and development of new building materials and the evaluation of entire buildings in terms of thermal and moisture protection In order to communicate the material properties to the market and enable informed decision making by the stakeholders, a labeling system has been developed. Thereby, the practical means for implementing governance instruments are provided, and the related technical applications are supported.
User Perceptions of Avatar-Based Patient Monitoring for Intensive Care Units: An International Exploratory Sequential Mixed-Methods Study
Authors: Lunkiewicz Justyna , Gasciauskaite Greta , Roche Tadzio Raoul , Akbas Samira , Nöthiger Christoph B , Ganter Michael T , Meybohm Patrick , Hottenrott Sebastian , Zacharowski Kai , Raimann Florian Jürgen , Rivas Eva , López-Baamonde Manuel , Beller Elisabeth Anna , Tscholl David W , Bergauer Lisa
Published: September 2023

Visual Patient Avatar ICU is an innovative approach to patient monitoring enhancing the user's situation awareness in intensive care settings. It dynamically displays the patient's current vital signs through changes in color, shape and animation. The technology can also indicate patient-inserted devices, such as arterial lines, central lines and urinary catheters, along with their insertion locations. We conducted an international, multi-center study using a sequential qualitative-quantitative design to evaluate users' perception of Visual Patient Avatar ICU among physicians and nurses. Twenty-five nurses and twenty-five physicians from the ICU participated in the structured interviews. Forty of them completed the online survey. Overall, ICU professionals expressed a positive outlook on Visual Patient Avatar ICU. They described Visual Patient Avatar ICU as a simple and intuitive tool that improved information retention and facilitated problem identification. However, a subset of participants expressed concerns about potential information overload and a sense of incompleteness due to missing exact numerical values. These findings provide valuable insights into user perceptions of Visual Patient Avatar ICU and encourage further technology development before clinical implementation.
Application of Machine Learning to Estimate Ammonia Atmospheric Emissions
Authors: Marongiu Alessandro , Collalto Anna Gilia , Distefano Gabriele Giuseppe , Angelino Elisabetta
Published: September 2023

Ammonia is an atmospheric pollutant, predominantly emitted from agriculture, leading acidification and eutrophication of soil and water and contributing to secondary PM2.5. The implementation of accurate emission inventories with high spatial and time resolution plays a fundamental role in the development of air modelling simulation and in the impact assessment of actions for air quality improvement. The development and release of new algorithms and the increase of data availability are supporting the implementation of machine learning approaches in environmental and air quality data analysis. In this paper we present a methodology developed by the application of the Random Forest algorithm to bottom-up local emission inventories of ammonia to validate annual time series of ammonia emissions and calculate high resolution temporal profiles. The model has been trained and tested by the hourly measurements of ammonia concentrations and atmospheric turbulence parameters starting from a constant emission scenario. The initial values of emissions are calculated based on a bottom-up emission inventory detailed at the municipal basis and considering a circular area of about 4 km radius centered on measurement sites. By comparing predicted and measured concentrations, the emissions are modified, the model's training and testing are repeated, and the model converges to a very high performance in predicting ammonia concentrations and establishing an hourly time changing emission profile. The site-specific emissions profiles, estimated by the proposed methodology, clearly show a nonlinear relation with measured concentrations and allow to identify the effect of atmospheric turbulence on pollutant accumulation. The estimated time series well confirm the available data of the emission inventories and the monthly emission profiles have been compared with estimated data from satellite.
Agrimonia pilosa Extract Alleviates CDAHFD-Induced Non-Alcoholic Steatohepatitis and Fibrosis in Mice
Authors: Park Sang-Joon , Jo Min-Jeong , Ryu Youngjae , Seo Myung-Gi , Lee Jae Woo , Kim Yoon Hee , Kim Yongduk , Park Jin-Kyu
Published: September 2023

Non-alcoholic steatohepatitis (NASH) is diagnosed by the occurrence of fat buildup, inflammation, and fibrotic changes within the liver. NASH has the capacity to proceed to the advancement of decompensated cirrhosis and carcinoma by inflammation and oxidative stress. Although Agrimonia pilosa has traditionally been used medicinal purposes, its effects on the liver remains incompletely elucidated. In this research, we assessed the therapeutic outcomes of Agrimonia pilosa extract (APE) on free fatty acid (FFA)-treated HepG2 cellular hepatic steatosis and in a choline-deficient, L-amino acid-defined, high-fat diet with 0.1% methionine (CDAHFD)-induced NASH mouse model. In FFA-treated cells, APE inhibited intracellular lipid accumulation, and regulated the mRNA and protein expressions of modulators of fatty acid (FA) synthesis as well as FA oxidation proteins, through down-regulation of the AMP-activated protein kinase/sirtuin 1 signaling pathway. In the CDAHFD-induced NASH mouse model, APE significantly enhanced liver histology and serum levels of liver damage. APE also significantly attenuated hepatic expression of mRNA and proteins related to FA synthesis, inflammation, and fibrosis. Furthermore, APE mitigated the expression levels of oxidative stress and endoplasmic reticulum stress. Overall, these discoveries indicate that Agrimonia pilosa has the potential to treat NASH by regulating hepatic lipid metabolism, alleviating inflammation, and mitigating oxidative stress.
Dynamic Canonical Data Model: An Architecture Proposal for the External and Data Loose Coupling for the Integration of Software Units
Authors: Ruíz-Ceniceros Juan-Antonio , Aguilar-Calderón José-Alfonso , Tripp-Barba Carolina , Zaldívar-Colado Aníbal
Published: September 2023

Integrating systems acquired from third parties and legacies has become of great necessity in companies. This is mainly due to the need to exchange information between entities, such as banks, suppliers, customers, allies, etc. Therefore, it is essential to guarantee the integrity of the data and keep the integration up to date with the changes that can occur. Furthermore, reducing the transaction risk and avoiding losing information is necessary. Implementing this complex task involving technological and business challenges requires appropriate architecture implementation. This article presents an architecture named Dynamic Canonical Data Model through agnostic messages. The contribution involves treating the low link in integrating software units, also called the integration of loosely coupled software units. In particular, it focuses on internal data and external data integration. The proposal reduces their integration, maintenance time, and cost, maximizing their scalability and promoting reuse. To illustrate their components, a case study undertaken at the Mexican Logistics Company Paquetexpress is presented. The company has evaluated different enterprise application integration systems over 26 years to achieve a standardized integration. The article describes an architecture designed and implemented for this delivery company in a real-world case. The implementation’s source code was registered in the National Registry of Copyrights of Mexico.
Low-Intensity and Chemo-Free Treatments in Ph+ ALL: Progression-Free Survival Based on Indirect Comparisons
Authors: Rivano Melania , Mengato Daniele , Chiumente Marco , Messori Andrea
Published: September 2023

In Philadelphia chromosome positive B-cell (Ph+) acute lymphoblastic leukemia (LLA), growing evidence has ac-cumulated about the efficacy of low-intensity and chemo-free regimens. Our objective was to analyze all recent trials evaluating these treatments and to compare them in terms of efficacy. We applied the Shiny method, an artificial intelligence technique, to analyze Kaplan-Meier curves and reconstruct patient-level data. Reconstructed patient data were then evaluated through standard survival statistics and subjected to indirect head-to-head treatment comparisons. The endpoint was progression-free survival (PFS). Based on 848 reconstructed patients, 9 trials were analyzed. The survival data from these trials were pooled into three types of treatments: i) treatments based on ty-rosine kinase inhibitors (TKIs) combined with reduced-intensity chemotherapy (denoted as TKICHE); ii) TKIs as-sociated to steroids with no chemotherapy (TKISTE); iii) chemotherapy-free combinations of blinatumomab plus TKIs (TKIBLI). According to the Shiny method, the three PFS curves were reported in a single Kaplan-Meier graph and subjected to survival statistics. In terms of PFS, TKIBLI ranked first, TKICHE second, and TKISTE third; the differences between these three regimens were statistically significant. This multi-treatment Kaplan-Meier graph, generated through the Shiny method, summarized the current evidence on these treatments in both qualitative and quantitative terms.
Controllable Synthesis and Morphology-Dependent Light Emission Efficiency of Zn2GeO4 Nanophosphors
Authors: Tinoco Miguel , Lendínez José Miguel , Gonzalez-Calbet José M , Méndez Bianchi , Hidalgo Pedro , Ramírez-Castellanos Julio
Published: September 2023

Zn2GeO4 is considered a very promising alternative to current luminescent semiconductors. Previous results suggest that its emitted wavelength may depend on different variables, such as particle size and morphology, among others. In this work, we have prepared pure and highly homogeneous Zn2GeO4 nanorods under hydrothermal synthesis conditions with a willemite-like structure. Their luminescent properties have been explored and their band gap estimated, which are distinct to previously reported Zn2GeO4 bulk particles. Therefore, our results identify particle morphology as a crucial factor for maximizing and fine-tuning the luminesce of Zn2GeO4 nano-phosphors.
Correlation of Electronic, Elastic and Thermo-Electric Properties of Alpha Copper Sulphide and Selenide
Authors: Ramoshaba Moshibudi , Mosuang Thuto
Published: September 2023

A full potential all-electron density functional method within generalized gradient approximation is used to investigate the electronic, elastic and transport properties of cubic copper sulphide and copper selenide. The electronic structure suggests metallic behavior with a zero energy band gap for both materials. Elastic property calculations suggest a stiff material with the bulk to shear modulus ratio of 0.35 and 0.44 for Cu2S and Cu2Se respectively. The transport properties were estimated using the Boltzmann transport approach. Seebeck coefficient, electrical conductivity, thermal conductivity, and power factor all suggest a potential p-type conductivity for Cu2S and n-type conductivity for Cu2Se.
Impedance Variation of a Coaxial Coil Encircling a Metal Tube Adapter
Authors: Luo Yao , Yang Xinyi
Published: September 2023

. The impedance change of an induction coil surrounding a metal tube adapter is investigated by the truncated region eigenfunction expansion (TREE) method. Conventional TREE method is inapplicable to this problem as a consequence of the numerical overflow of eigenfunctions of the air-metal multi-subdomain regions. The difficulty is surmounted by a normalization procedure for the numerical eigenfunctions obtained from the finite element method (FEM). Efficient algorithm is devised by the Clenshaw-Curtis quadrature rule for integrals involving the numerical eigenfunctions. Numerical results of the TREE and FEM simulation coincide very well in all cases, and the efficiency of the proposed method is also confirmed.
Bifunctional Al Doped Cobalt Ferrocyanide Nanocube Array for Energy-Saving Hydrogen Production via Urea Electrolysis
Authors: Gao Xiafei , Gao Mengyue , Yu Xueping , Jin Xiaoyong , Ni Gang , Peng Juan
Published: September 2023

The very slow anodic oxygen evolution reaction (OER) greatly limits the development of large-scale hydrogen production via water electrolysis. By replacing OER with easier urea oxidation reaction (UOR), developing a HER/UOR coupling electrolysis system for hydrogen production can significantly save energy and costs. Al doped cobalt ferrocyanide (Al-Co2Fe(CN)6) nanocube array was in-situ grown on nickel foam (Al-Co2Fe(CN)6/NF). Due to the unique nanocube array structure and regulated electronic structure of Al-Co2Fe(CN)6, the as-prepared Al-Co2Fe(CN)6/NF electrode exhibited outstanding catalytic activities and long-term stability to both UOR and HER. The Al-Co2Fe(CN)6/NF electrode needed potentials of 0.169 V and 1.118 V (vs. reversible hydrogen electrode) to drive 10 mA cm−2 for HER and UOR, respectively, in alkaline condition. Applying the Al-Co2Fe(CN)6/NF to a whole urea electrolysis system, 10 mA cm−2 was achieved at a cell voltage of 1.357 V, which saved 60% electricity energy comparing to that of tranditional water splitting. Density functional theory calculations demonstrated that the boosted UOR activity comes from Co sites with Al doped electronic environments. This promoted and balanced the adsorption/desorption of main intermediates in UOR process. This work indicates that Co based materials as efficient catalysts have great prospects for application in urea electrolysis systems, and are expected to achieve low-cost and energy-saving H2 production.
The Impact of Public Transportation Systems on Food Insecurity for Women in Allegheny County: A Call to Improve Well-Being within the Built Environment
Authors: Firestine Alex , Murrell Audrey J.
Published: September 2023

Food insecurity is a pervasive issue for Allegheny County as one in five residents experience food insecurity. Food insecurity is linked to chronic health conditions like heart disease and hypertension and disproportionately affects women in the United States, particularly women who are head of household. There are multiple dimensions used to measure regional food insecurity, one of which is food accessibility. Prior research has examined the linkages between food access and food insecurity, and this study aims to further explore the relationship between equitable access to sustainable food and levels of regional food insecurity. This study examines food outlets in Allegheny County to determine if there is a significant relationship between food outlet availability and food insecurity. Both the presence and accessibility of these food outlets were examined. To measure accessibility, the walking distance to the nearest public transportation stop was calculated for each public transportation stop. The minimum distance to each food outlet was compared to food insecurity rates on a Census Tract level. Results showed that communities without grocery stores did, on average, have higher rates of food insecurity. Also, communities with a higher proportion of female-headed households experienced greater food insecurity, regardless of access to food outlets. However, there was no statistically significant relationship between the distance from public transportation stops to grocery stores and rates of food insecurity. Based on these findings, we suggest that sole reliance on distance as an indicator of food insecurity can be misleading, and there should be a greater focus on walkability within the community as using opposed to physical distance alone.
Characterization of Stem Cells Response to Bipolar Microsecond Pulses Electric Stimulation
Authors: Innamorati Giorgia , Sanchez-Petidier Marina , Bergafora Giulia , Codazzi Camilla , Palma Valentina , Camera Francesca , Merla Caterina , André Franck M , Pedraza Maria , Moreno Manzano Victoria , Caramazza Laura , Colella Micol , Marracino Paolo , Consales Claudia
Published: September 2023

In the tissue regeneration field, stem cell transplantation and the control of their differentiation represent a promising therapeutic strategy. The second aspect can be achieved using electrical stimulation.
This study aims to characterize the effect of a microsecond electrical stimulation on MSCs and iNSCs, in the context of the RISEUP FET-OPEN project (n. 964562) that seeks to control these cells differentiation for the spinal cord injury treatments.
Here, the effect of a specific microsecond electric pulses stimulation, characterized by bipolar pulses of 100 µs + 100 µs, delivered for 30 minutes at an intensity of 250 V/cm, on i) cell proliferation, ii) cell cycle, iii) gene expression and iv) apoptosis was evaluated.
Results show that the stimulation does not affect cell proliferation, cell cycle, and apoptosis, but induced some variations in gene expression, in particular in EGR1, FOS, and POU5F1. These ob-servations led us to deeply investigate the cell proliferation until 72h from the stimulation observing an increase in the iNSCs.
The main outcome of this study is that the chosen stimulation protocol is safe and not toxic for MSCs and iNSCs. The observed variations in the gene expression need to be deeply investigated to assess the molecular mechanisms involved.
Modulatory effects of the addition of argan and olive oils on oxidative and nitrosative stress induced in Tetrahymena pyriformis
Authors: Essadek Soukaina , Lima Elena , Sassi Khouloud , Kamouni Soufiane El , El Kebbaj Riad , Lizard Gérard , Andreoletti Pierre , Cherkaoui-Malki Mustapha , Castro Antonio Jesús , Nasser Boubker , Alché Juan de Dios
Published: September 2023

Virgin Argan Oil (VAO) is extracted from the fruits of the Moroccan endemic species argan [Argania spinosa (L.) Skeels]. It is known for its richness in polyunsaturated fatty acids and its unique composition in tocopherols conferring a panoply of pharmacological properties, documented in several studies. The aim of this study was to investigate the potential protective effect of VAO against oxidative and nitrosative stress induced in cells of the model species Tetrahymena pyriformis. As a comparison, well-known Virgin Olive Oil (VOO) from Olea europaea L. was used instead. Both oils were subjected to a preliminary analysis of phytochemicals and properties of interest. Oxidative stress in T. pyriformis cells was induced by hydrogen peroxide (H2O2) at 350µM, whereas sodium nitroprusside (SNP) nitrosative stress was induced using a 1mM concentration. Neither of these concentrations caused relevant changes in cell viability. The level of reactive oxygen species (ROS) was evaluated in the cell cultures by using H2-DCFDA dye. The activity and cell localization of the antioxidant enzymes catalase (CAT), superoxide dismutase (SOD) and glutathione peroxidase (GPX) was evaluated as well as the levels of glutathione (GSH) and the malondialdehyde (MDA) generated after lipid peroxidation. Finally, the presence and localization of intracellular lipid droplets was assessed by using Nile red. The treatment of cultures with H2O2 produced significant increases in the activity of CAT, SOD and GPX and in the level of GSH, as also did the SNP treatment. MDA level was increased by both the treatments. VAO and VOO treatment were found to protect T. pyriformis from oxidative stress and increased cells defense in nitrosative stress. In another hand VAO and VOO decreased significantly MDA level increased by H2O2 treatment and failed after SNP treatment. The quantification of fluorescence signal obtained from immunolocalization of antioxidant enzymes confirmed the results obtained after the evaluation of their activities. Interestingly the level of ROS and the number of lipid droplets increased by H2O2 treatment was significantly decreased by VAO and VOO co-treatments. VAO and VOO represent strong antioxidants, playing an important role in protecting cells against oxidative stress.
Motion, Static Force and Efficiency Analysis of Planetary Gear Transmission Based on Graph Theory
Authors: Xue Huiling , Li Lijian
Published: September 2023

Using graph theory, computer aided motion, static force and power flow analysis of planetary gear mechanism is realized. The motion, static force and efficiency calculations of 6HP26 automatic transmission are carried out. Based on kinematic and static force analysis model, related matrices are acquired. Hence, kinematic and static force analysis of planetary gear mechanism is achieved. The link power can be determined by the link speed and torque. Power flow diagrams of each gear are acquired. The efficiency is calculated by transmission ratio method.
The Next Pandemic? Antimicrobial Resistance and Its Societal Implications - A Comprehensive Review
Authors: Bothe Hemant
Published: September 2023

This comprehensive review examines the critical issue of antimicrobial resistance (AMR), a growing global concern with profound societal implications. This article presents an overview of the causes of AMR, including the misuse and overuse of antibiotics in healthcare, agriculture, and veterinary practices. Various conventional and advanced detection methodologies have been explored, highlighting the importance of the accurate and timely identification of resistant strains. The challenges associated with tackling AMR, encompassing scientific, economic, and regulatory aspects have been discussed in depth. In addition, this article sheds light on the far-reaching societal implications of AMR, including increased healthcare costs, treatment complexities, and potential disruptions to healthcare systems. This emphasizes the urgency of adopting proactive strategies to combat AMR and underscores the need for global cooperation, policy interventions and public awareness campaigns. By unraveling the multifaceted dimensions of AMR, this review aims to enhance our understanding, stimulate further research, and promote concerted efforts to mitigate the threat of antimicrobial resistance.
Winter Activity of Podarcis muralis (Laurenti, 1768) and P. erhardii (Bedriaga, 1876) in Urban and Suburban Habitats in the City of Blagoevgrad, Bulgaria
Authors: Sakelarieva Lidia , Pulev Alexander , Mitrevichin Emanuil
Published: September 2023

Lizards in Bulgaria hibernate in winter. Yet, individuals of many species were found active in this period. Cases of winter activity of Podarcis muralis and P. erhardii in the country have been published, but this behavior has not been studied in detail. The purpose of this research was to observe and analyze the winter activity of these two species in the city of Blagoevgrad. The observations took place at two sites in days with high solar radiation in December, January, and February 2015–2017. One of the sites was a typical urban territory, inhabited only by P. muralis. The other site was a suburban area, inhabited by P. erhardii. The number of the active individuals of the Common Wall Lizard recorded was about 8.5 times higher than that of the Erhard's Wall Lizard. The lowest air temperature at which P. muralis was observed was -4°C and for P. erhardii it was +0.5°C. Individuals of both species were registered only at positive substrate temperatures. Representatives of all age groups of P. muralis were recorded often with dorsoventrally flattened bodies while basking. On the other hand, few juveniles of P. erhardii were found active and they flattened their bodies very rarely.
PET-CT spectrum of large vessel vasculitis (LVV) in a tertiary center: differences in FDG uptake between LVV with predominant cranial and extracranial giant cell arteritis phenotypes
Authors: Heras-Recuero Elena , Landaeta-Kancev Laura Cristina , Martínez de Bourio-Allona Marta , Torres-Rosello Arantxa , Blázquez-Sánchez Teresa , Ferraz-Amaro Iván , Castañeda Santos , Martínez-López Juan Antonio , Martínez-Dhier Luis , Largo Raquel , González-Gay Miguel Angel
Published: September 2023

Objective: To assess the spectrum of PET-CT-related large vessel vasculitis (LVV) in a Spanish tertiary center and to determine whether FDG uptake by PET-CT differs between giant cell arteritis (GCA) with predominant cranial or extracranial phenotypes.
Methods: The spectrum of patients diagnosed with LVV by PET-CT in a tertiary referral hospital that cares for 450,000 people over a period of two years was reviewed. Moreover, differences in FDG uptake between LVV-GCA with predominantly cranial and extracranial phenotype were analyzed.
Results: Eighty patients were diagnosed with LVV by PET-CT. Most were due to systemic vasculitis (n=64; 80%), especially GCA (n=54; 67.5%). Other conditions included the presence of rheumatic diseases (n=4; 3.2%), tumors (n=9; 7.2%), and infections (n=3; 2.4%). LVV-GCA patients with predominant extracranial GCA phenotype were younger (mean ± SD: 68.07 ± 9.91 versus 75.46 ± 7.64 years; p= 0.017) and had a longer delay to the diagnosis (median [interquartile range] 12 [4-18] versus 4 [3-8]; p=0.006), but had PMR symptoms more frequently than those with predominantly cranial GCA phenotype (46.3% versus 15.4%, p= 0.057). When FDG uptake was compared according to the two different disease patterns, no statistically significant differences were observed. However, patients with extracranial LVV-GCA showed a non-significantly higher frequency of vasculitic involvement of lower extremity arteries.
Conclusion: Regardless of the predominant phenotype, LVV identified by PET-CT is more commonly due to GCA in the Spanish population. In these GCA patients, younger age, PMR and a higher frequency of lower extremity artery vasculitis suggest the presence of LVV.
A Fractional (q, q′) Non-extensive Information Dimension of Complex Networks
Authors: Ramirez-Arellano Aldo , De-la-Cruz-Garcia Jazmin-Susana , Bory-Reyes Juan
Published: September 2023

This article introduces a new fractional approach to the concept of information dimension of complex networks, based on a (q,q′)-entropy proposed in the literature. The q parameter measures how far is the number of subsystems (for a given size ε) from the mean number of overall sizes. The q′ (interaction index) measures when the interactions between subsystems are greater (q′>1), lesser (q′<1) or equal to the interactions into these subsystems. The computations of the proposed information dimension are carried out on several real-world and synthetic complex networks. The results from the proposed information dimension are compared with those from the information dimension based on the Shannon entropy.
Dual RNA-Seq Analysis Pinpoints to a BalancedRegulation between Symbiosis and Immunity in the Medicago truncatula-Sinorhizobium meliloti Symbiotic Interactions
Authors: Zhang Dandan , Wu Qiujin , Zhao Yanwen , Yan Ziang , Xiao Aifang , Yu Haixiang , Cao Yangrong
Published: September 2023

Legume-rhizobial symbiosis leads to to the formation of root nodules, where rhizobia reside and develop into bacteroids to reduce nitrogen into ammonium for plant growth, which leaves an opening question as how plant immunity is attenuated in nodules in the presence of large number of foreign bacteria. In Medicago truncatula, mutation in NAD1 (Nodules with Activated Defense 1) only produces necrotic nodules with overactivated immunity, indicating NAD1 is an indispensable component required for suppressing immunity in nodules. In this study, a dual RNA-seq transcriptomic technology was performed to extensively analyze gene expressions in nad1-1 mutant nodules. We indenifited 89 DEGs in symbiotic nitrogen fixation and 89 DEGs in immunity in Medicago truncatula at 10 dpi. Simultaneously, we indenifited 27 DEGs in fix and nif genes in Sinorhizobium meliloti. Then we identified 56 DEGs related to stress, including ROS, NO, and NCR, most of which were upregulated in Sinorhizobium meliloti. Our analyses of nitrogen fixation-defective plant nad1-1 mutants with overactivated defense indicate that host use plant immunity to control massive bacterial colonization during early and late symbiotic stages. Our findings provide insight into the function of NAD1 in improvement or inhibition of plant immune response to maintain symbiosis during rhizobial endosymbiosis.
Immunotechniques for the Group Determination of Macrolide Antibiotics Traces in the Environment Using a Volume-Mediated Sensitivity Enhancement Strategy
Authors: Burkin Maksim A , Tevyashova Anna N , Bychkova Elena N , Melekhin Artem O , Galvidis Inna A
Published: September 2023

Macrolide antibiotics, effective antimicrobial agents, are intensively used in human and veterinary medicine as well as in agriculture and therefore are found all over the world as environmental pollutants, harming sensitive eco-community organisms and provoking the selection of resistant forms. A novel azithromycin derivative was synthesized and as a rationally designed hapten conjugate ensured group immunorecognition of 6 major macrolide representatives (105-41%), erythromycin, erythromycin ethylsuccinate, clarithromycin, roxithromycin, azithromycin and dirithromycin in competitive immunoassay based on anti-clarithromycin antibodies. The heterologous hapten-based ELISA format simultaneously contributed to a 5-fold increase in sensitivity (ERY IC50 = 0.04 ng/mL). However, for the detection of trace macrolides in environmental samples, an underexploited in immunoassay field strategy was proposed in the present study to significantly improve the detectability of analytes. Unlike most approaches, it does not require special enhancers/amplifiers or additional concentration/extraction procedures, but only involves a larger volume of test samples. Gradual volume increase of samples (from 0.025 to 10 mL) analyzed in direct competitive ELISA, immunobeads, and immunofiltration assay formats based on the same reagents resulted in a significant improvement (more than 50-fold) in assay sensitivity and detection limit up to 5 and 1 pg/mL, respectively. The suitability of the test for detecting macrolide contamination of natural water was confirmed by recovery of macrolides from spiked blank samples (71.7-141.3%). A series of natural water samples from Lake Onega and its influents near Petrozavodsk were analyzed during a 2022-2023 using both the developed immunoassay and HPLC-MS/MS and revealed no macrolide antibiotic contamination.
Remaining Useful Life Prediction of Rolling Bearings Based on Multi-scale Permutation Entropy and SSA-LSTM
Authors: Wang Hongju , Zhang Xi , Ren Mingming , Xu Tianhao , Lu Chengkai , Zhao Zicheng
Published: September 2023

The performance of bearings plays a pivotal role in determining the dependability and security of rotating machinery. In intricate systems demanding exceptional reliability and safety, the ability to accurately forecast fault occurrences during operation holds profound significance. Such predictions serve as invaluable guides for crafting well-considered reliability strategies and executing maintenance practices aimed at enhancing reliability. In order to ensure the reliability of bearing operation, this article investigates the application of three advanced techniques—Maximum Correlation Kurtosis Deconvolution (MCKD), Multi-Scale Permutation Entropy (MPE), and Long Short-Term Memory (LSTM) recurrent neural networks—for the prediction of the remaining useful life (RUL) of rolling bearings. Each technique's principles, methodologies, and applications are comprehensively reviewed, offering insights into their respective strengths and limitations. Case studies and experimental evaluations are presented to assess their performance in RUL prediction. Findings reveal that MCKD enhances fault signatures, MPE captures complexity, and LSTM excels in modeling temporal patterns. The root mean square error of the prediction results is 0.007. The fusion of these techniques offers a comprehensive approach to RUL prediction, leveraging their unique attributes for more accurate and reliable predictions.
Sustainable Development of Trust and Presence of Police in Schools: Implications for School Safety Policy
Authors: Janković Bojan , Cvetković Vladimir M. , Ivanović Zvonimir , Petrović Svetlana , Otašević Božidar
Published: September 2023

The study aims to determine the trust and presence of police officers in schools in Serbia, as well as the perception of the principals and secretaries, teachers and staff, parents and students on how successful the certain police units dedicated to schools were in fulfilling their tasks. The ex–post analysis was conducted through PEST/SWAT analysis, mapping of the key actors and using batteries of online questionnaires. Besides interviews with the MOI representatives, there were conducted: Survey with personal interviewing, Computer–aided surveying and Desk analysis and content analysis. The survey was conducted in the period from September 2021 to June 2022. The research methods were implemented in 1140 schools in Serbia and 8,617 people were included in surveys: police officers (308); principals and secretaries (1085); the team for protection against discrimination (982); teachers and staff (2988); parents (938) and students (2316). The relationships between the covariates and perception were investigated using the t–test, one–way ANOVA, multivariate linear regression, and binary regression. The results showed that a project of school police officers was not fully recognized as one of the strategically important instruments for safe schools, trust is low but presence is high. Besides that, the results suggest that the entire public believe that a police is needed in schools and that it has a very positive effect on school safety. Regarding school safety policy, it is necessary to undertake three types of measures for sustainable development of trust and presence of police in school: regulatory, informa-tive-educational and institutional-organizational.
Comparative Study of the Physico-Chemical Properties of Sorbents Based on Natural Bentonites Modified with Iron (III) and Aluminium (III) Polyhydroxocations
Authors: Kussainova Bakytgul , Tazhkenova Gaukhar , Kudaibergenova Rabiga , Kazarinov Ivan , Lamichova Anna , Nurlybayeva Aisha , Kusepova Lyazat , Mashan Togzhan , Tantybayeva Batima , Saurbayeva Bekzat
Published: September 2023

A comparative study of the physicochemical properties of natural bentonite clays of Pogodayevо (Republic of Kazakhstan, mod.1) and Dash-Salakhli (Republic of Azerbaijan, mod.2) deposits and modification of the bentonite clay with polyhydroxocations of iron (III) and aluminium (III). It-wasestablished that the modification of natural bentonitesusing polyhydroxocations of iron (III) and aluminium(III) by the method of "co-precipitation" leads to a change in their chemical composition, structural and sorption properties. The results showed that hydroxy-aluminum cations ([Al3O4(OH)24(H2O)12]7+) and poly-hydroxyl-Fe or polyoxo-Fe were intercalated into clay layers, which led to an increase in the values of d001 and specific surface areas compared to those of the original bentonite, from 37 to 120 for the Pogodaevo bentonite and from 51 to 172 respectively for bentonite from the Dash-Salakhli deposit. It is shown that modified sorbents based on natural bentonite are finely porous objects with a predominance of pores of 1.5−6.0 nm in size. As a result, there is a significant increase in the specific surface area of sorbents. Modification of bentonite with polyhydroxocations of iron (III) and aluminium (III) by the "co-precipitation" method also leads to an increase in the sorption capacity of the sorbents obtained with respect to nickel (II) cations. Modified bentonites were used for the adsorption of Ni (II) ions from the model solution. Ni (II) was absorbed in a neutral pH solution. The study of equilibrium adsorption showed that the data are in good agreement with the Langmuir isotherm model. The maximum adsorption capacity of the Ni (II) monolayer obtained from the Langmuir equation was 25.0 mg/g (mod. 1_Al_5-c), 18.2 mg/g (mod. 2_Al_5-c) for Al-bentonite and 16.7 mg/g (mod. 1_Fe_5-c), 10.1 (mod. 2_Fe_5-c) for Fe-bentonite. The kinetics of adsorption is considered. The high content of Al-OH anion exchange centresin them determines the higher sorption activity of Al-modified bentonites.
Advancements in Brain Diseases: Exploring the Complexities and Pursuing Therapeutic Breakthroughs
Authors: Mutery Abdullah Al- , Hussain Irfan , Mumtaz Kainaat
Published: September 2023

Brain disorders pose a significant global healthcare challenge due to their complexity and profound impact on individuals and society. This review explores recent advancements in brain disease research, deepening our understanding and progress towards treatments. Technological innovations, like high-resolution imaging and optogenetics, play a pivotal role in illuminating cellular structures and dissecting neural circuits. Genetic analysis identifies dis-ease-associated genes and mutations, yet translating findings to clinical applications remains challenging. Epigenomics, transcriptomics, and proteomics provide molecular insights, un-covering disrupted pathways in conditions like Alzheimer's disease. Stem cell models elucidate developmental mechanisms, and immunotherapies, including CAR T cells, emerge as prom-ising strategies for brain cancers like glioblastoma. Genome editing tools, exemplified by CRISPR, enable precise modification of disease genes in models, deepening our understanding of pathogenesis. Multifaceted approaches integrating human studies, animal models, and bi-oinformatics propel the field forward. However, complexities persist, as disease specificity for cell types or brain regions remains an enigma, and genetic factors interact with environmental influences, highlighting disease intricacies. Ultimately, interdisciplinary efforts combining bi-ophysical and psychospiritual perspectives are essential to fully understand brain health and unlock transformative treatments for these debilitating disorders. A comprehensive under-standing of brain disorders is vital to improve the quality of life for millions and alleviate the global burden of neurological afflictions. Continued collaborative research will lead to an era of improved brain health worldwide.
An Efficient Convolution Neural Network Based Novel Framework for Potato Leaf Diseases Classification and Identification
Authors: Khatun Sawrnali , Halder Monishanker , Arafat Md. Yasir , Sheikh Mohammad Nowsin Amin , Adnan Dr. Md. Nasim , Kabir Sk. Shalauddin
Published: September 2023

Agriculture is one of the indispensable fields for the survival of mankind. Potatoes also have a significant role in the field of agriculture. The quality and quantity of potatoes are significantly impacted by several diseases, such as early blight and late blight, and manual interpretation of these leaf diseases is time-consuming and inconvenient. Fortunately, leaf appearance is used to detect diseases in potato plants. Productivity will considerably rise if the infections are detected early. Different types of image processing methods and machine learning methods are used for early recognition of those diseases from leaf images so that the product losses are decreased significantly. For the incredible and marvelous performance of CNN, it is the most popular deep learning method that is used immensely for the recognition of leaf diseases from images. Several pretrained deep learning models, such as VGG16, ResNet50, InceptionV3, MobileNetV2, Xception, and a deep learning model developed using CNN, are employed for potato leaf disease classification and recognition on the same dataset. The transfer learning technique is applied to the pretrained model and the data augmentation technique is applied to the Proposed CNN model for potato disease classification from leaf samples. Compared to pretrained models, the proposed CNN model offers the lowest loss and highest accuracy for potato leaf disease detection while using fewer parameters and layers. It achieves the best performance with a test accuracy of 99.33% compared to other Pretrained models used in the diagnosis of potato leaf disease.
Ankle Joint Flexion and Extension Movement Monitoring Device Based on Pressure Sensor
Authors: Xu Chunying , Zhou Yu , Wen Taoyu , Yang Chengyu , Lv Hongjian , Ji Jian , Wei Chuliang
Published: September 2023

Ankle joint flexion and extension exercises play an important role in the rehabilitation training of patients who have been injured or bedridden for a long time before and after surgery. Accurately guiding patients to perform ankle flexion and extension exercises can significantly reduce deep vein thromboembolism. Currently, most ankle rehabilitation devices focus on assisting patients with ankle flexion and extension movements, and there is a lack of devices for effectively monitoring these movements. In this study, we designed an ankle joint flexion and extension movement monitoring device based on a pressure sensor. It is composed of an STM32 microcontroller, a pressure sensor, an HX711A/D conversion chip, and an ESP8266 WiFi communication module. The value of force and effective number of ankle joint flexion and extension movements were obtained. An experimental device was designed to verify the accuracy of the system. The results showed that the device can effectively monitor and control ankle flexion and extension movements remotely, ultimately ensuring that the patient can effectively monitor and grasp the active ankle pump movement.
Genes Polymorphisms and Their Association with COVID-19 Severity in Children
Authors: Kozak Kateryna , Pavlyshyn Halyna , Kamyshnyi Aleksandr , Shevchuk Oksana , Korda Mykhaylo , Vari Sandor G.
Published: September 2023

Coronavirus disease (COVID-19) and its outcomes remain one of the most challenging problems today. COVID-19 in children could be asymptomatic but can result in a fatal outcome, therefore, prediction of the disease severity is important. The goal was to investigate the human genetic factors that could be associated with COVID-19 severity in children. Single nucleotide polymor-phisms of the following genes were studied: ACE2 (rs2074192), IFNAR2 (rs2236757), TYK2 (rs2304256), OAS1 (rs10774671), OAS3 (rs10735079), CD40 (rs4813003), FCGR2A (rs1801274) and CASP3 (rs113420705). In the case-control study were 30 children with mild or moderate course of the disease; 30 with severe COVID-19 symptoms and multisystem inflammatory syndrome in children (MIS -C) and 15 healthy who did not have COVID-19 infection (PCR negative, Ig G negative). The study revealed that ACE2 rs2074192 (allele T), IFNAR2 rs2236757 (allele A), OAS1 rs10774671 (allele A), CD40 rs4813003 (allele C), CASP3 rs113420705 (allele C) and male sex contribute to severe course COVID-19 infection, and MIS-C in 85.6% of cases. The World Health Organization reported new COVID-19 variants may cause previously unseen symptoms in chil-dren. Although the study has limitation due to cohort size, the findings can help provide a better understanding of SARS-CoV-2 infection and proactive pediatric patient management.
Synthetic Ultra-wideband Transceiver for Millimeter-wave Imaging Applications
Authors: Mirbeik Amir , Najafizadeh Laleh , Ebadi Negar
Published: September 2023

In this work, we present a transceiver front-end in SiGe BiCMOS technology that can provide an ultra-wide bandwidth of 100 GHz at millimeter-wave frequencies. The front-end employs a novel configuration for low-loss distribution of broadband generated pulses as well as coherent spatial combining of received pulses. This leads to the realization of a fully integrated ultra-high-resolution imaging chip for biomedical applications. We realized an ultra-wide imaging bandwidth of 100 GHz by the integration of two adjacent, disjointed frequency sub-bands of 10–50 GHz and 50–110 GHz respectively. The transceiver front-end is capable of both transmit (TX) and receive (RX) operations. This is a key building-block for a scalable system in which a unit cell is repeated in the X and Y directions resulting in less power and area consumption. The imaging elements were designed and fabricated in Global Foundry 130-nm SiGe 8XP BiCMOS process technology.