Research Institute Research Articles

The Geography of Job Tasks

Previous articleNext article No AccessThe Geography of Job TasksEnghin Atalay, Sebastian Sotelo, and Daniel TannenbaumEnghin Atalay Search for more articles by this author , Sebastian Sotelo Search for more articles by this author , and Daniel Tannenbaum Search for more articles by this author PDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmail SectionsMoreDetailsFiguresReferencesCited by Journal of Labor Economics Just Accepted Published for the Society of Labor Economists, Economics Research Center/ NORC Article DOIhttps://doi.org/10.1086/725360 Views: 7Total views on this site HistoryAccepted March 28, 2023 © 2023 The University of Chicago. All Rights reserved.PDF download Crossref reports no articles citing this article.

A Data Analytics and Machine Learning Approach to Develop a Technology Roadmap for Next-Generation Logistics Utilizing Underground Systems

The increasing density of urban populations has spurred interest in utilizing underground space. Underground logistics systems (ULS) are gaining traction due to their effective utilization of this space to enhance urban spatial efficiency. However, research on technological advancements in related fields remains limited. To address this gap, we applied a data-driven approach using patent data related to the ULS to develop a technology roadmap for the field. We employed Latent Dirichlet Allocation (LDA), a machine learning-based topic modeling technique, to categorize and identify six specific technology areas within the ULS domain. Subsequently, we conducted portfolio analytics to pinpoint technology areas with high technological value and to identify the major patent applicants in these areas. Finally, we assessed the technology market potential by mapping the technology life cycle for the identified high-value areas. Among the six technology areas identified, Topic 1 (Underground Material Handling System) and Topic 4 (Underground Transportation System) showed significant patent activity from companies and research institutions in China, the United States, South Korea, and Germany compared to other countries. These areas have the top 10 patent applicants, accounting for 20.8% and 13.6% of all patent applications, respectively. Additionally, technology life cycle analytics revealed a growth trajectory for these identified areas, indicating their rapid expansion and high innovation potential. This study provides a data-driven methodology to develop a technology roadmap that offers valuable insights for researchers, engineers, and policymakers in the ULS industry and supports informed decision-making regarding the field’s future direction.

Taxonomy of interventions at academic institutions to improve research quality

Background Research waste has become an increasing issue for research institutions and researchers due to poor research reproducibility and replicability. Interventions to improve research quality at research institutions are important to reduce research waste. This review aims to identify and classify possible interventions to improve research quality, reduce waste, and improve reproducibility and replicability within research-performing institutions. Methods Steps to develop the taxonomy were 1) Use an exemplar paper looking at journal-level interventions to improve research quality, 2) Adapt intervention titles to align with Michie’s behaviour change wheel, 3) Conduct a 2-stage search in PubMed using seed articles and reviews, and a forward and backward citation search to identify articles that evaluated or described the implementation of interventions to improve research quality, 4) Pilot draft taxonomy with researchers at an openscience conference workshop, and 5) Iterative drafting and revisions by the research team. Results Overall, 93 individual interventions were identified through the peer-review literature and researcher reporting. Eleven peer-reviewed articles were identified. Interventions identified covered research stages from before, during, and after study conduct, and whole of institution. Types of intervention included: Tools, Education & Training, Incentives, Modelling and Mentoring, Review & Feedback, Expert involvement, and Policies & Procedures. The taxonomy identified areas for research institutions to focus on to improve research quality, reproducibility, and replicability. Conclusions Areas of focus and future research include improving incentives to implement quality research practices, evaluating current interventions, encouraging no- or low-cost and high-benefit interventions, examining institution culture and individual research ethos, and encouraging researcher mentor-mentee relationships.

The Contribution of Modern Muslim Scholars and Institutions to Qurʾānic Manuscript Studies: A Preliminary Survey

The Idea of this paper is to document the contributions of contemporary Muslim scholars, Islamic institutions, and postgraduate students to the study of Qurʼān manuscripts through an initial bibliographic survey. The central question addresses the extent and scope of these contributions, examining whether there was any reluctance among Muslim scholars to engage in the study of Qurʼān manuscripts. The objectives of this paper is to provide a preliminary comprehensive overview of the efforts made by contemporary Muslim scholars and Islamic institutions in this domain. Furthermore, this study showcases the significant contributions of contemporary Muslim scholars and Islamic institutions to the study of Qurʼān manuscripts, highlighting their roles and any reservations they may have had regarding the analysis of ancient Qurʼān manuscripts. The paper also identifies key challenges in this field, including the scarcity of previous studies, limited bibliographic surveys, and the lack of dedicated Qurʼānic research centers in the Muslim world. In this paper, a statistical and analytical methodology was applied, the statistical-methodology was facilitated by a preliminary bibliographic list from the e-Ma’rifa Foundation, which included books, published articles in academic journals, conference papers, and university theses. Additional data were provided by the Tafsir Center for Quranic Studies. The findings reveal that contemporary Muslim scholars, postgraduate students, and Islamic institutions have made substantial contributions to the study of Qurʼān manuscripts, with no significant opposition to analytical studies in this area. Consequently, the authors recommend the establishment of specialized centers to conduct comprehensive studies on Qurʼān manuscripts across the Muslim world.

Sex Differences and Bmal1/Acetylcholine- or Bmal1/Noradrenaline-Mediated Effects of Blue Light Irradiation on Dextran-Sodium-Sulfate-Induced Ulcerative Colitis Model Mice

Humans are exposed to significant amounts of blue light from computers and smartphones. However, the effects of blue light on ulcerative colitis remain unclear. In this study, we assessed blue-light-irradiation-induced alterations in colonic symptoms using a dextran sodium sulfate (DSS)-induced ulcerative colitis model mice. Both male and female institute of cancer research (ICR) mice were administered DSS (5%) ad libitum for 5 days while irradiated with 40 kJ/m2 blue light daily. Additionally, tranexamic acid (TA) was administered daily throughout the study. Male mice treated with DSS/blue light exhibited exacerbated colitis compared to those treated with DSS alone. In contrast, female mice treated with DSS/blue light exhibited enhanced symptoms compared to those treated with DSS alone. Additionally, in male mice exposed to blue light, the clock/brain and muscle Arndt-like 1 (Bma1)/noradrenaline/macrophage or beta2-adrenergic receptor (β2-AR) pathways were activated. In female mice, the Bmal1/acetylcholine/macrophage/nicotinic acetylcholine receptor alpha 7 (α7nAChR) pathway was activated. These findings highlight sex differences in the effects of blue light on DSS-induced ulcerative colitis. Moreover, the worsening of symptoms in males was ameliorated through TA administration.

Training, networking, and support infrastructure for ombudspersons for good research practice: A survey of the status quo in the Berlin research area

ABSTRACT Recent developments in the German academic landscape have seen a shifting approach to promoting research integrity. In 2019, the German Research Foundation (DFG) incentivized all research and higher education institutions to appoint ombudspersons who advise members of their institution in matters of good research practice or suspected research misconduct. These ombudspersons for good research practice, usually professors who act in this function on a voluntary basis, need institutional support to be prepared for and fulfill their diverse duties. The Ombuds-Modelle@BUA (2020) and OBUA – Ombudswesen@BUA (2021–2023) projects worked to advance the professionalization of ombudspersons in the Berlin research area by first investigating the current situation and then offering a meta-level of support in training, networking, and knowledge exchange. Furthermore, the OBUA project engaged in meta-research, investigating the status quo of local ombuds systems and demands for support. The project findings, discussed in this contribution, show that the professionalization of local ombuds systems has been evolving in past years, especially in the areas of training and networking. Infrastructural support measures, however, remain largely underdeveloped.

Water-soluble organic compounds (WSOC) from atmospheric aerosols in Bou-Ismail (Algeria).

In this contribution, we report the study of nuclear resonance magnetic spectroscopy techniques (1H-NMR, 13C-NMR, and 2D-NMR) efficiency in the characterisation of the functional composition of water-soluble organic compounds (WSOC) from atmospheric aerosols. The chosen site was our scientific and technical center of research (CRAPC) situated in Algerian Bou-Ismail city. where the concentrations of PM10 were found to be between 15.66 and 142.19µg.m-3. As results, 1H-NMR analysis showed the coexistence of biological material and emissions from urban and biomass burning. The dominant source was identified by quantitative integration of each 1H NMR spectral region. By using the HSQC technique, many peaks are revealed in biogenic samples including biomass burning. On the other hand, the identification of the source of various organic compounds and their functional composition is possible through specific NMR spectra, which can also be used to adjust the surrounding organic aerosol sources.

Design of a precise ensemble expert system for crop yield prediction using machine learning analytics

AbstractAgriculture is facing significant challenges in the development of crop yield forecasts, which are important aspects of decision‐making at the international, regional, and local levels. The area of agriculture is attracting growing attention because of increasing the demand for food supplies. To ensure future food supplies, crop yield prediction (CYP) provides the best decision‐making to assist farmers in agricultural yield forecasting efficiently. Nevertheless, CYP is a difficult endeavor because of the intricacy of the underlying mechanisms and the effect of numerous factors, including weather patterns, soil characteristics, and crop management techniques. In today's era, ensemble learning (EL) approaches have recently demonstrated significant promise for enhancing the reliability and accuracy of CYP. The success of the EL techniques depends on several facts, including how the base learner models are trained and how these are combined. This study provides important insights into the EL techniques for CYP. This paper proposes an expert system model named precise ensemble expert system for crop yield prediction (PEESCYP) to predict the best crop for agricultural land. The proposed PEESCYP model employs multiple imputation by chained equation (MICE) data imputation technique to treat the missing values of the collected dataset, the isolation forest (IF) technique for outlier detection, the ant colony optimization (ACO) technique to perform feature selection, robust scaling (RS) technique to perform data normalization, and the extra tree (ET) is used for classification to overcome the variance and overfitting problem of the single classifiers. The measurements of the proposed PEESCYP model have been collected by means of accuracy, precision, recall, and F‐1 score using a prepared dataset, which is collected from International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT), and the proposed model is compared with different single‐classifier based ML models, EL models, and various existing models available in the literature. The results of this experiment underline that the proposed PEESCYP model outperforms the others.

Diversity and Relative Abundance of Different Pollinators in Cucumber (Cucumis sativus L.)

The study on insect pollinator diversity and their abundance on cucumber flowers was conducted at the Vegetable Research Station, Agricultural Research Institute, Rajendranagar, Hyderabad during 2023 - 2024. A total of 25 species, including 13 species of Hymenoptera, five species of Diptera, five species of Lepidoptera and two species of Coleoptera were documented. Of which, Hymenoptera was found to be most abundant, accounting for 72.17% followed by Diptera at 16.49%. Among the families, Apidae was observed as most dominant, with a high abundance and species diversity at 49.48% followed by Syrphidae at 9.28%. The families Sphecidae, Hesperiidae, and Calliphoridae each had the least abundance at 1.03%. Apis dorsata Fabricius was reported as most abundant species at 12.37% followed by Apis cerana indica, Ceratina binghami Cockerell and Camponotus compressus Fab. each at 8.25%. The species Acraea terpsicore (0.82%) had the lowest abundance. In recent years due to urbanization and fragmentation a decreased trend in pollinator activity had been observed so this research provides the base line data about the existing pollinator species diversity in the study area which offer insights for taking appropriate management practices to conserve the pollinator species.

Alternative-academic careers of LIS in China: Trends, challenges, and opportunities

This study investigates the state of alternative-academic careers (alt-ac) in Library and Information Science (LIS) within China, based on the transformation of the LIS academic market over a 5-year span (2018–2022). The study employs a unique dataset of job postings collected through first-hand field investigations and meticulous manual preprocessing. A comprehensive analysis of the dataset was conducted using a combination of the BERT-BiLSTM-CRF model for named entity recognition, social network analysis for examining interdisciplinary interactions, and descriptive statistics for characterizing the distribution and trends of alt-ac positions. The results reveal that alt-ac positions account for 48.3% of the total demand in the field, distributed across nine categories: academic research institutions, government departments, military organizations, public libraries, and others. Each category exhibits unique developmental patterns. Over 20 distinct alt-ac roles were identified, such as data librarians, competitive intelligence specialists, transformative OA agreement negotiators, and scholarly communication experts, highlighting the ongoing emergence of new positions in response to institutional evolution. Descriptive statistics showed that the demand for alt-ac positions was notably concentrated in economically advanced regions, with the East China region accounting for 32.58% of the total positions, surpassing the proportions in North China (26.22%) and South China (13.86%). Social network analysis revealed substantial interdisciplinary interactions between LIS and other areas, such as computer science and public administration, suggesting potential opportunities for collaboration and competition. The findings emphasize the growing significance of alt-ac in China’s LIS field and provide insights into the dynamic landscape of the academic job market, offering implications for LIS education and workforce development strategies.

Влияние биологических регуляторов роста на содержание фотосинтетических пигментов Campanula alliariifolia

Abstract. The purpose is to study the effectiveness of the action of the natural signaling molecule salicylic acid (SA) and Bacillus subtilis (Bs) on the ratio of photosynthetic pigments (PhSP) in plant materials (leaves) of Campanula alliariifolia Willd. and its decorativeness. Methods. Using spectrophotometric techniques, an analysis was carried out of the dynamics of the content of pigments (chlorophyll a, chlorophyll b and carotenoids) under the influence of a strain of the bacterium Bacillus subtilis, isolated at the Bashkir Scientific Research Institute of Agriculture of the Federal Research Center of the Russian Academy of Sciences (Ufa) from the arable soil layer of the Republic of Bashkortostan, and its combination with salicylic acid during the growing season. Scientific novelty. The influence of the B. subtilis strain separately and together with salicylic acid on the physiological parameters and decorative properties of Campanula alliariifolia in the conditions of the Bashkir Cis-Ural was studied. Results. The content and ratio of PhSP in dynamics (phases of budding, flowering and fruiting) were analyzed. It was revealed that inoculation of C. alliariifolia plants with Bacillus subtilis significantly increases the amount of carotenoids during the flowering phase. During the fruiting phase, the maximum content of PhSP was noted in the Bs + SA variant of the experiment. Two-factor analysis of variance showed that the significant influence of factor A (vegetation phase), factor B (different experimental options), and the degree of total influence of two factors (A × B) on the content of PhSP in samples of campanula leaves is statistically significant for the studied indicators. It was found that inoculation with the B. subtilis strain maximized indicators such as the abundance of flowering and the density of bellflower inflorescences, thereby improving the decorativeness of C. alliariifolia in the conditions of the Bashkir Cis-Ural.

Under the Goal of Sustainable Development, Do Regions with Higher Energy Intensity Generate More Green Innovation? Evidence from Chinese Cities

Sustainable development is a global focal point. This study aims to analyze the relationship between energy intensity and green innovation using panel data from 285 Chinese cities spanning from 2003 to 2019. The novel element of this research is the first-time exploration of green innovation through the lens of local industry attributes. It explains the impact of energy intensity on the development of green innovation. By employing a two-way fixed-effect model, the regression analysis reveals that higher energy intensity in cities negatively influences green innovation. Robustness and mechanism tests indicate that in regions with higher energy intensity, governments issue more policies to encourage enterprises and research institutions to pursue green innovation. However, these regions have developed significant path dependence, and local enterprises are reluctant to increase green investment even when facing stringent regulations. Heterogeneity analysis proves that cities with higher levels of digitalization, R&D investment, urbanization, and per capita GDP exhibit an increase in green innovation. The research and findings of this study are of significant importance for policy and strategy formulation, allowing governments and enterprises to develop targeted economic strategies to improve energy efficiency and promote green innovation, thereby achieving sustainable development goals. Potential limitations include data quality, and some key information is difficult to obtain from public sources due to confidentiality, which may result in limitations and biases in the results.

Electrical conductivity based algorithm for precise application of liquid nitrogenous fertilizers

Precise application of nitrogenous fertilizers mainly urea ammonium nitrate (UAN) and granular urea (both pure and neem-coated) in aqueous form, is critically important for basal and foliar applications. The physicochemical properties of aqueous solution of these nitrogenous fertilizers plays important role in design of any liquid fertilizer application system. The study was carried out during 2019–20 at ICAR-Indian Agricultural Research Institute, New Delhi with an aim to develop algorithms for use in sensors-based systems for real time monitoring of available N concentration in the fertilizer solution before its application. The physicochemical properties like pH, electrical conductivity (EC), specific gravity (SG), dynamic viscosity (DV), surface tension (ST) and percentage light absorbance (LA) of urea ammonium nitrate (UAN-28%), pure urea, and neem coated urea in diluted form (pre-selected N-concentrations i.e. 0.78, 0.9, 1.08, 1.33, 1.75, 2.54 and 4.67% corresponding to the dilution ratios of 1:35, 1:30, 1:25, 1:20, 1:15, 1:10 and 1:05) were measured and analyzed for their significance with N-concentration. Electrical conductivity (EC) alone showed a significant relationship with N-concentrations. Prediction models were developed for diluted UAN and granular urea fertilizers based on the EC and N-concentrations. The regression models in terms of EC to predict N-concentration had coefficients of determination (R2) of 0.998, 0.998, and 0.999 for diluted UAN, pure urea, and neem coated urea with water, respectively showed a great potential for their sensor based precise application. The controlled application of diluted liquid fertilizers with water can be achieved through sensing relevant physicochemical property.

Tillage practices on soil penetration resistance, soil infiltration, percolation and yield of rice (Oryza sativa) in rice-based cropping system

The experiment was conducted during 2019–23 at Tamil Nadu Rice Research Institute (Tamil Nadu Agricultural University, Coimbatore), Aduthurai, Tamil Nadu to analyse the effect of conservation tillage methods on bulk density, soil penetration resistance and soil infiltration rate of clay soil and rice yield in rice-based cropping system. Experiment consisted of three tillage practices, viz. conventional tillage/puddling (CT); zero tillage (ZT); and minimal tillage/dry ploughing (MT) and two rice (Oryza sativa L.) cultivars (ADT 43 and CORH 3), replicated four times. The result of the study revealed that the bulk density was significantly lower with zero tillage due to presence of crop residues and addition of organic matter. The mean infiltration rate under zero tillage was 0.16 cm/h as compared to puddling (0.14 cm/h) and dry ploughing (0.20 cm/h). The study further showed that the mean soil percolation rate was significantly altered by the tillage methods and soil percolation rate was 0.12 cm/h in zero tillage as compared to puddling (0.10 cm/h) and dry ploughing (0.16 cm/h). In contrary to the other physical properties, the soil penetration resistance was in the order of dry ploughing>zero tillage>puddling. The mean soil penetration resistance under zero tillage was reduced from 690–500 Kpa, 740–600 Kpa and 760–620 Kpa respectively at 0–5, 5–10 and 10–15 cm depth as compared to puddling. The results further indicated that the yield parameters and rice did not differ among the different tillage practices.

Scientific misconduct responsibility attribution: An empirical study on byline position and team identity in Chinese medical papers.

The primary objective of this inquiry was to explore the nexus between authorship attribution in medical literature and accountability for scientific impropriety while assessing the influence of authorial multiplicity on the severity of sanctions imposed. Probit regression models were employed to scrutinize the impact of authorship on assuming accountability for scientific misconduct, and unordered multinomial logistic regression models were used to examine the influence of authorship and the number of bylines on the severity of punitive measures. First authors and corresponding authors were significantly more likely to be liable for scientific misconduct than other authors and were more likely to be penalized particularly severely. Furthermore, a negative correlation was observed between the number of authors' affiliations and the severity of punitive measures. Authorship exerts a pronounced influence on the attribution of accountability in scientific research misconduct, particularly evident in the heightened risk of severe penalties confronting first and corresponding authors owing to their principal roles. Hence, scientific research institutions and journals must delineate authorship specifications meticulously, ascertain authors' contributions judiciously, bolster initiatives aimed at fostering scientific research integrity, and uphold an environment conducive for robust scientific inquiry.

Does innovative city pilot policy improve carbon reduction? Quasi-experimental evidence from China

A new direction for China in exploring sustainable development is the Innovative City Pilot Policy (ICPP), which provides policy guidance for accelerating carbon peaking and carbon neutrality by reducing carbon emissions. With data from 282 cities spanning 2006–2018, this paper examines ICPP's effect on carbon intensity (CI) through a multi-period difference-in-differences (DID) model, as well as exploring the mediating effect, moderating effect, heterogeneity, and spatial spillover effects. The results show that ICPP reduces CI significantly by enhancing technology innovation (TI), and when industrial structure (IS) is added, the effect of ICPP is expanded. The ICPP gains additional advantages in reducing CI by optimizing the efficiency of resource allocation (ERA). Compared with the concentration of human capital (HCL), the amount of scientific research institutes (SRI) has a slightly greater moderating effect. ICPP impacts considering location, size, and hierarchy heterogeneity. ICPP has a greater impact on mitigating CI in the western, larger size, and provincial capital cities. There are positive spillover effects of the ICPP on neighboring CI. To support the idea that ICPP can effectively contribute to CI reduction, this paper provides empirical evidence and theoretical guidelines.

Laser Observations of GALILEO Satellites at the CBK PAN Astrogeodynamic Observatory in Borowiec

The laser station (BORL) owned by the Space Research Centre of the Polish Academy of Sciences and situated at the Astrogeodynamic Observatory in Borowiec near Poznań regularly observes more than 100 different objects in low Earth orbit (LEO) and medium Earth orbit (MEO). The BORL sensor’s laser observation range is from 400 km to 24,500 km. The laser measurements taken by the BORL sensor are utilized to create various products, including the geocentric positions and movements of ground stations, satellite orbits, the components of the Earth’s gravitational field and their changes over time, Earth’s orientation parameters (EOPs), and the validation of the precise Galileo orbits derived using microwave measurements, among others. These products are essential for supporting local and global geodetic and geophysics research related to time. They are crucial for the International Terrestrial Reference Frame (ITRF), which is managed by the International Earth Rotation and Reference Systems Service (IERS). In 2023, the BORL laser station expanded its list of tracked objects to include all satellites of the European satellite navigation system GALILEO, totaling 28 satellites. During that year, the BORL laser station recorded 77 successful passes of GALILEO satellites, covering a total of 21 objects. The measurements taken allowed for the registration of 7419 returns, resulting in 342 normal points. The average RMS for all successful GALILEO observations in 2023 was 13.5 mm.

Poor sleep and decreased cortical thickness in veterans with mild traumatic brain injury and post-traumatic stress disorder

BackgroundPoor sleep quality has been associated with changes in brain volume among veterans, particularly those who have experienced mild traumatic brain injury (mTBI) and post-traumatic stress disorder (PTSD). This study sought to investigate (1) whether poor sleep quality is associated with decreased cortical thickness in Iraq and Afghanistan war veterans, and (2) whether these associations differ topographically depending on the presence or absence of mTBI and PTSD.MethodsA sample of 440 post-9/11 era U.S. veterans enrolled in the Translational Research Center for Traumatic Brain Injury and Stress Disorders study at VA Boston, MA from 2010 to 2022 was included in the study. We examined the relationship between sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI), and cortical thickness in veterans with mTBI (n = 57), PTSD (n = 110), comorbid mTBI and PTSD (n = 129), and neither PTSD nor mTBI (n = 144). To determine the topographical relationship between subjective sleep quality and cortical thickness in each diagnostic group, we employed a General Linear Model (GLM) at each vertex on the cortical mantle. The extent of topographical overlap between the resulting statistical maps was assessed using Dice coefficients.ResultsThere were no significant associations between PSQI and cortical thickness in the group without PTSD or mTBI (n = 144) or in the PTSD-only group (n = 110). In the mTBI-only group (n = 57), lower sleep quality was significantly associated with reduced thickness bilaterally in frontal, cingulate, and precuneus regions, as well as in the right parietal and temporal regions (β = −0.0137, P < 0.0005). In the comorbid mTBI and PTSD group (n = 129), significant associations were observed bilaterally in frontal, precentral, and precuneus regions, in the left cingulate and the right parietal regions (β = −0.0094, P < 0.0005). Interaction analysis revealed that there was a stronger relationship between poor sleep quality and decreased cortical thickness in individuals with mTBI (n = 186) compared to those without mTBI (n = 254) specifically in the frontal and cingulate regions (β = −0.0077, P < 0.0005).ConclusionsThis study demonstrates a significant relationship between poor sleep quality and lower cortical thickness primarily within frontal regions among individuals with both isolated mTBI or comorbid diagnoses of mTBI and PTSD. Thus, if directionality is established in longitudinal and interventional studies, it may be crucial to consider addressing sleep in the treatment of veterans who have sustained mTBI.

Identification of specific IgG class antibodies to certain flaviviruses in the population of the Republic of Guinea

One of the most common arboviruses in the world are representatives of the genus Orthoflavivirus (family Flaviviridae). On the territory of the Republic of Guinea, the circulation of such representatives of this family as the yellow fever virus (YFV), West Nile virus (WNV) and dengue virus (DENV) has been confirmed. The aim of the study was to determine the level of specific IgG class antibodies to YFV, DENV and WNV in residents of various landscape– geographical zones of the Republic of Guinea by the ELISA method. Materials and methods. For the study, a panel of 1559 blood serums from practically healthy people was compiled, which were collected in all landscape and geographical zones of the Republic of Guinea. The detection of specific IgG class antibodies to DENV and WNV was carried out with commercial diagnostic drugs, and for YFV — with an experimental ELISA test system based on an analogue of the third domain of protein E obtained at the State Research Center for Virology and Biotechnology “Vector” of Rospotrebnadzor. Results. When testing blood sera in 28.5% (95% CI: 26.3–30.7) of cases, IgG antibodies to YFV, to DENV — in 11.8%, (95% CI: 10.3–13.5) and to WNV — in 27.0% (95% CI: 24.8–29.3) were detected. Antibodies to three viruses simultaneously (YFV, DENV and WNV) were detected in 30 cases, to YFV and DENV — 14, YFV and WNV — 44, DENV and WNV — 56. Conclusion. The detection of antibodies to WNV and DENV confirms the fact of the continued circulation of these pathogens in the territory of the Republic of Guinea, which poses a health risk to the local population. A detailed study of the molecular genetic and antigenic properties of flaviviruses circulating in this area will allow the development of more specific diagnostic tools.

Histological Changes in Dental Pulp During the Aging Process: Implications for Endodontic Treatment

on the results of endodontic treatment. Knowledge of these changes is essential in order to design treatment strategies that allow aging people a life with constant dental health. Objective: The objective of this study sought to perform an analysis of the histological changes that occur within dental pulp as a result of aging. Study Design: This is a cross-sectional study. Duration and Place of the Study: This study was conducted at Department Anatomy of General Hospital and Research Centre, Peshawar, from 3rd November 2022 to 2nd December 2023. Material and Methods: A total of 220 patients aged between 20-80 years, were admitted to this survey. According to age, they were classified into 20-29 years (n=41), 30-39 years (n=39),40-49 years (n=48), 50-59 years (n=45 ) and 60 -80 years( n=47). Extraction of dental pulp samples Pulp tissues were harvested from teeth that had been extracted for non-dental reasons. Histological analysis for cellularity, vascularity and fibrous content of the pulp tissue. Results: A total of 220 patients aged between 20 and 80 Years were included in this study. The biggest group of people was participants 40-49 years old (21.8%), and the smallest one is for 30-39-year-olds with (17.7%). The study found that Participants of the age groups 20–29 years showed a mean cellularity (1500 cells/mm²), with standard deviation of ±200, while those in the 60-80 years group had the lowest mean cellularity at 800 cells/mm² with a standard deviation of ±160. Conclusion: The histological changes in dental pulp with ageing have as consequences implications on endodontic treatment. Keywords: Dental Pulp, Histological Changes, Endodontic Treatment Implications