Bioactive compounds of Jingfang Granules against SARS-CoV-2 virus proteases 3CLpro and PLpro.

OBJECTIVE: Jingfang Granules have been recommended for the prevention and treatment of corona virus disease 2019 (COVID-19). Through chemical analysis and bioactivity evaluation, this study aims to elucidate the potential effective components of Jingfang Granules. METHOD(S): The inhibitory acti-vities of Jingfang Granules extract against 3-chymotrypsin-like protease (3CLpro), papain like protease (PLpro), spike protein receptor-binding domain (S-RBD) and human cyclooxygenase-2 (COX-2) were evaluated using enzyme assay. The antitussive effects were evaluated using the classical ammonia-induced cough model. The chemical constituents of Jingfang Granules were qualitatively and quantitatively analyzed by liquid chromatography-mass spectrometry (LC/MS). The 3CLpro and PLpro inhibitory activities of the major compounds were determined by enzyme assay, molecular docking, and site-directed mutagenesis. RESULT(S): Jingfang Granules exhibited 3CLpro and PLpro inhibitory activities, as well as COX-2 inhibitory and antitussive activities. By investigating the MS/MS behaviors of reference standards, a total of fifty-six compounds were characterized in Jingfang Granules. Sixteen of them were unambiguously identified by comparing with reference standards. The contents of the 16 major compounds were also determined, and their total contents were 2 498.8 mug/g. Naringin, nodakenin and neohesperidin were three dominating compounds in Jingfang Granules, and their contents were 688.8, 596.4 and 578.7 mug/g, respectively. In addition, neohesperidin and naringin exhibited PLpro inhibitory activities, and the inhibition rates at 8 mumol/L were 53.5% and 46.1%, respectively. Prim-O-glucosylcimifugin showed significant inhibitory activities against 3CLpro and PLpro, and the inhibitory rates at 8 mumol/L were 76.8% and 78.2%, respectively. Molecular docking indicated that hydrogen bonds could be formed between prim-O-glucosylcimifugin and amino acid residues H163, E166, Q192, T190 of 3CLpro (binding energy, -7.7 kcal/mol) and K157, D164, R166, E167, T301 of PLpro(-7.3 kcal/mol), respectively. Site-directed mutagenesis indicated amino acid residue K157 was a key active site for the interaction between prim-O-glucosylcimifugin and PLpro. CONCLUSION(S): Prim-O-glucosylcimifugin, neohesperidin, and naringin as the major compounds from Jingfang Granules could inhibit severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus proteases 3CLpro and PLpro. The results are valuable for rational clinical use of Jingfang Granules.

Psychometric Performance of the Fear of COVID-19 Scale (FCV-19S) and Its Validation in Czechia

The COVID-19 pandemic has brought significant changes to people's lives, causing high levels of anxiety, distress, and fear. In response, the "Fear of COVID-19” scale (FCV-19S) was developed in 2020 to measure the severity of fears related to COVID-19. This study assessed the psychometric properties of the Czech version of the FCV-19S, which was administered to a representative sample of 1372 participants, and confirmatory factor analysis (CFA) was conducted. The sample reflects the structure of a theoretical population aged 15–74 years and is composed of 50% males and 50% females. Moreover, univariate statistics were calculated, internal consistency was tested, and uni-dimensionality based on principal component analysis was performed. In addition, univariate statistical analyses were performed, internal consistency was tested, and univariate consistency was also assessed using principal component analysis. CFA indicated that the scale demonstrated very good standard indices;FCV-19S showed a high level of internal consistency, and it adequately differentiated the levels of fear among diverse subpopulations. The findings suggest that the Czech version of the FCV-19S is a valid and reliable instrument that has robust psychometric properties and can, therefore, be recommended for use in research. The availability of the Czech version of the FCV-19S will contribute to assessments of the impact of the COVID-19 pandemic on the Czech population, providing valuable information in guiding interventions aimed at reducing the negative psychological impacts of the pandemic.

Chest X-ray Imaging System for Early Detection of Tuberculosis

Today it is observed that few people respect the biosecurity measures announced by the WHO, which aimed to reduce the amount of COVID-19 infection among people, even knowing that this virus has not disappeared from our environment, being an unprecedented infection in the world. It should be noted that before this pandemic, tuberculosis affected millions of people, having a great role because it is highly contagious and directly affects the lungs, although it has a cure, if it is not treated in time it can be fatal for the person, although there are many methods of detection of tuberculosis, one that is most often used is the diagnosis by chest x-ray, although it has low specificity, when the image processing technique is applied, tuberculosis would be accurately detected. In view of this problem, in this article a chest X-ray image processing system was conducted for the early detection of tuberculosis, helping doctors to detect tuberculosis accurately and quickly by having a second opinion by the system in the analysis of the chest x-ray, prevents fatal infections in patients. Through the development of the tuberculosis early detection system, it was possible to observe the correct functioning of the system with an efficiency of 97.84% in the detection of tuberculosis, detailing the characteristics presented by normal or abnormal images so that the doctor detects tuberculosis in the patient early. © 2023 IEEE.

A New Approach to Extracting Tourism Focus Points from Chinese Inbound Tourist Reviews after COVID-19

The number of inbound tourists in Japan has been increasing steadily in recent years. However, due to the COVID-19 pandemic, the number of inbound tourists decreased in 2020. This is particularly worrisome for Japan, as the number of inbound tourists is expected to reach 60 million per year by 2030. In order to help Japan's tourism industry to recover from the pandemic, we propose a method of identifying elements that attract the attention of inbound tourists (focus points) by analyzing reviews on tourist sites. We focus on Hokkaido, a popular area in Japan for tourists from China. Our proposed method extracts high-frequency n-gram patterns from reviews written by Chinese inbound tourists, showing which aspects are mentioned most often. We then use seven types of motivational factors for tourists and principal component analysis to quantify the focus points of each tourist destination. Finally, we estimate the focus points by clustering the n-gram patterns extracted from the tourists' reviews. The results show that our method successfully identifies the features and focus points of each tourist spot.

Enhancing Students' Entrepreneurial Competencies through Extracurricular Activities—A Pragmatic Approach to Sustainability-Oriented Higher Education

Entrepreneurship can provide a creative, disruptive, problem-solving-oriented approach to the current economic, environmental, and social challenges of the world. This article aims to provide an analysis about the way universities can have an impact on developing entrepreneurial competence in students through extracurricular activities. The research relies on a questionnaire survey of students at the University of Petrosani, who participated in a range of entrepreneurial activities both online during the COVID-19 pandemic and face-to-face afterwards. The methodology consisted of applying principal component analysis to reduce the dimensionality of the indicators, followed by classification of the respondents through cluster analysis and training of a feedforward neural network. After finishing the network-training process, the error was minimized, resulting in three classes of respondents. Furthermore, based on the three classes, follow-up conclusions, policies, and decisions can be issued regarding the perception of entrepreneurship at the societal level, which is beneficial for academia and entrepreneurs, as well as for future research undertaken in this field. The key conclusion of our research is that entrepreneurship education is a real facilitator of the transition to sustainable entrepreneurship. Students perceived meeting successful entrepreneurs as being among the most effective extracurricular activities, assessing online activities as useful, and the field of study proved to be an important factor in their entrepreneurial intention.

Potential Output and Output Gap in a Period of Economic Crises

The article investigates potential output and output gap modelling and estimation in the Czech Republic in the period 1996-2021, including the global recession from 2008 and the recent crisis caused by government measures against the COVID-19 pandemic. The unobserved components (UC) methodology is applied, coefficients are estimated by the maximum likelihood method, unobserved variables are estimated using the Kalman filter. The standard UC model is modified in an original way to nonlinearly describe the hysteresis effect by allowing the output gap to have an asymmetrical influence on potential output. The econometric model verification proved significance of the hysteresis effect and showed a substantial inertia of negative consequences of both crises. Predictions of an impact of the War in Ukraine on the gap were also calculated and the uncertainty associated with these predictions was quantified.

Identification and quantitative analysis of bioactive components from Potentilla kleiniana Wight et Arn with anti HIV-1 proteases activity.

Potentilla kleiniana Wight et Arn（PK, 'Wu Pi Feng' in Chinese） was recorded as Miao ethnic medicine for treatment of fever, cough, ulcer, and erysipelas for thousands years. This study aimed to evaluate the antiviral activity of four PK extracts and seven compounds by using HIV-1 protease (HIV-1 PR). In addition, Ultra-High Performance Liquid Chromatography and High Resolution Mass Spectrometry (UPLC-HRMS) was employed to identify the bioactive components. The toxicity assessment of the extracts was done before antiviral screening using a highly specific human aspartyl protease, renin protease by fluorimetric method. As a result, seven compounds and four extracts of PK inhibited HIV-1 PR with IC50 range from 0.009 to 0.36 mg/mL, and did not appreciably inhibit the general human protease renin. This study first demonstrated that four PK extracts, ellagic acid and ursolic acid potent inhibit HIV-1 protease, could be used as an efficacious drug candidate to treat SARS-CoV-2 infection.

[Component identification and analysis in vivo of Sanhan Huashi formula].

Sanhan Huashi formula(SHF) is the intermediate of a newly approved traditional Chinese medicine(TCM) Sanhan Huashi Granules for the treatment of COVID-19 infection. The chemical composition of SHF is complex since it contains 20 single herbal medicines. In this study, UHPLC-Orbitrap Exploris 240 was used to identify the chemical components in SHF and in rat plasma, lung and feces after oral administration of SHF, and heat map was plotted for characterizing the distribution of the chemical components. Chromatographic separation was conducted on a Waters ACQUITY UPLC BEH C_(18)(2.1 mm×100 mm, 1.7 µm) using 0.1% formic acid(A)-acetonitrile(B) as mobile phases in a gradient elution. Electrospray ionization(ESI) source was used to acquire data in positive and negative mode. By reference to quasi-molecular ions and MS/MS fragment ions and in combination with MS spectra of reference substances and compound information in literature reports, 80 components were identified in SHF, including 14 flavonoids, 13 coumarins, 5 lignans, 12 amino-compounds, 6 terpenes and 30 other compounds; 40 chemical components were identified in rat plasma, 27 in lung and 56 in feces. Component identification and characterization of SHF in vitro and in vivo lay foundations for disclosure of its pharmacodynamic substances and elucidation of the scientific connotation.

Dating Business Cycles in France : A Reference Chronology

This paper proposes a reference quarterly chronology for periods of expansion and recession in France since 1970, carried out by the Dating Committee of the French Economic Association. The methodology is based on two pillars: 1) econometric estimations from various key data to identify candidate periods, and 2) a narrative approach that describes the economic background that prevailed at that time to finalize the dating chronology. Starting from 1970, the Committee has identified four economic recession periods: the two oil shocks 1974-1975 and 1980, the investment cycle of 1992-1993, and the Great Recession 2008-2009. For the Covid recession, the peak is dated in the last quarter of 2019 and the trough in the second quarter of 2020.

Research of addition of N95 facial mask fibers, silica fume and marble powder in high performance mortar

The coronavirus pandemic, in addition to the global health crisis, shows damage to the environment due to the high number of disposable face masks, making it necessary to develop research to minimize the environmental risks associated with personal protective equipment used by the population. This research aims to reduce the waste generated by the pandemic, taking advantage of face masks, inserting them in the manufacture of mortars. Processing (grinding) of the masks was carried out and their inclusion in contents of 1.4% and 2.0% in relation to the cement consumption. The products were compared to a reference mix and evaluated for physical and mechanical properties. As a result, it was found that the addition of mask fibers resulting an increase in the water absorption rate, as well as reductions in diametral compression strength and compressive strength, respectively 30% and 50%, due to failures in the matrix/fiber interaction, which may limit the use of the mixture. However, this research contributes to the Brazilian agenda regarding sustainable urban, regional, and national development, through multidisciplinary and innovative approaches, enabling the reduction of environmental degradation by discarding masks and the making of new materials to be employees in the construction sector.

Characteristics of Urban Traffic Control Measures in China in the Background of COVID-19

The rapid global spread of the coronavirus disease 2019 (COVID-19) is now a reality. China has taken urban traffic control measures to prevent and control the epidemic, but this has prevented the flow of people between cities. This study investigates the mechanism of the impact of urban traffic control measures on the intercity population flow in China using the one-way causal measurement method. The results show that the impact of urban traffic control measures on the intercity flow of the population changes with time. Based on this, this study makes scientific suggestions for the government on how to reasonably undertake traffic control measures. [ FROM AUTHOR] Copyright of Journal of Advanced Computational Intelligence & Intelligent Informatics is the property of Fuji Technology Press Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Clinical and laboratory characteristics of new coronaviral infection (COVID-19) in children

Another rise in the incidence of a new coronavirus infection (COVID-19), due to the penetration of the SARS-CoV-2 delta strain into Russia in the second half of April 2021, is characterized by rapid spread, severe course in adults and an increase in cases of the disease among children. The aim of the work is to assess the clinical and laboratory parameters of a new coronavirus infection (COVID-19) in children. Material and methods. The results of clinical and laboratory examination and complex therapy of 95 children with moderate and severe forms of COVID-19, hospitalized in the Republican Clinical Infectious Diseases Hospital in Ufa from May to September 2021, are presented. Results. The anamnesis of the disease and life, epidemiological, clinical and laboratory, instrumental data obtained during the examination of children with COVID-19 in the course of the disease were studied. Among the clinical manifestations in children, symptoms of acute respiratory infection (37.9+/-4.98%), pneumonia without respiratory failure (26.3+/-4.52%), pneumonia with acute respiratory failure (33.7+/-4.85%). In 2 patients of the first months of life (2.1+/-1.47%), against the background of a aggravated premorbid background, immunodeficiency, COVID-19 proceeded in an extremely severe form with a fatal outcome. Conclusion. The clinical manifestations of COVID-19 are similar in children and adults, but differ in the frequency of respiratory symptoms. A severe course with a fatal outcome was registered in children in the first months of life with a burdened premorbid background.Copyright © Infectious Diseases: News, Opinions, Training 2022.

Six addiction components of problematic social media use in relation to depression, anxiety, and stress symptoms: a latent profile analysis and network analysis.

BACKGROUNDS: Components of addiction (salience, tolerance, mood modification, relapse, withdrawal, and conflict) is the most cited theoretical framework for problematic social media use (PSMU). However, studies criticized its ability to distinguish problematic users from engaged users. We aimed to assess the association of the six criteria with depression, anxiety, and stress at a symptom level. METHODS: Ten thousand six hundred sixty-eight participants were recruited. Bergen Social Media Addiction Scale (BSMAS) was used to detect six addiction components in PSMU. We applied the depression-anxiety-stress scale to assess mental distress. Latent profile analysis (LPA) was conducted based on BSMAS items. Network analysis (NA) was performed to determine the symptom-symptom interaction of PSMU and mental distress. RESULTS: (1) Social media users were divided into five subgroups including occasional users (10.6%, n = 1127), regular users (31.0%, n = 3309), high engagement low risk users (10.4%, n = 1115), at-risk users (38.1%, n = 4070), and problematic users (9.8%, n = 1047); (2) PSMU and mental distress varied markedly across subgroups. Problematic users had the most severe PSMU, depression, anxiety, and stress symptoms. High engagement users scored high on tolerance and salience criteria of PSMU but displayed little mental distress; (3) NA showed conflict and mood modification was the bridge symptoms across the network, while salience and tolerance exhibited weak association with mental distress. CONCLUSIONS: Salience and tolerance might not distinguish engaged users from problematic users. New frameworks and assessment tools focusing on the negative consequences of social media usage are needed.

Treatment cost assessment for COVID-19 inpatients in Shenzhen, China 2020-2021: facts and suggestions.

Background: Knowledge regarding the treatment cost of coronavirus disease 2019 (COVID-19) in the real world is vital for disease burden forecasts and health resources planning. However, it is greatly hindered by obtaining reliable cost data from actual patients. To address this knowledge gap, this study aims to estimate the treatment cost and specific cost components for COVID-19 inpatients in Shenzhen city, China in 2020-2021. Methods: It is a 2 years' cross-sectional study. The de-identified discharge claims were collected from the hospital information system (HIS) of COVID-19 designated hospital in Shenzhen, China. One thousand three hundred ninety-eight inpatients with a discharge diagnosis for COVID-19 from January 10, 2020 (the first COVID-19 case admitted in the hospital in Shenzhen) to December 31, 2021. A comparison was made of treatment cost and cost components of COVID-19 inpatients among seven COVID-19 clinical classifications (asymptomatic, mild, moderate, severe, critical, convalescent and re-positive cases) and three admission stages (divided by the implementation of different treatment guidelines). The multi-variable linear regression models were used to conduct the analysis. Results: The treatment cost for included COVID-19 inpatients was USD 3,328.8. The number of convalescent cases accounted for the largest proportion of all COVID-19 inpatients (42.7%). The severe and critical cases incurred more than 40% of treatment cost on western medicine, while the other five COVID-19 clinical classifications spent the largest proportion (32%-51%) on lab testing. Compared with asymptomatic cases, significant increases of treatment cost were observed in mild cases (by 30.0%), moderate cases (by 49.2%), severe cases (by 228.7%) and critical cases (by 680.7%), while reductions were shown in re-positive cases (by 43.1%) and convalescent cases (by 38.6%). The decreasing trend of treatment cost was observed during the latter two stages by 7.6 and 17.9%, respectively. Conclusions: Our findings identified the difference of inpatient treatment cost across seven COVID-19 clinical classifications and the changes at three admission stages. It is highly suggestive to inform the financial burden experienced by the health insurance fund and the Government, to emphasize the rational use of lab tests and western medicine in the COVID-19 treatment guideline, and to design suitable treatment and control policy for convalescent cases.

Small-angle polarimetry as a technique for identification of nucleotide sequences in bioinformatics

Background and Objectives: The method of identification of symbolic sequences associated with the genetic structure of biological objects using the principles of small-angle polarimetry is considered. This method of analyzing and visualizing symbolic sequences obtained by sequencing DNA fragments can be defined as small-angle polarimetry of phase-modulating structures associated with genetic information. Materials and Methods: The analyzed symbolic sequence is represented by a two-dimensional phase-modulating matrix, each element of which corresponds to one of the four basic nucleotides (adenine, cytosine, thymine, guanine), and the depth of modulation of the phase of the reading coherent linearly polarized beam is determined by the content of this nucleotide in the corresponding triplet in the nucleotide sequence. As a result of the diffraction of a reading coherent beam with a polarization plane oriented at an angle of 45° to the sides of the phase-modulating matrix, a spatial distribution of local polarization states of the reading field diffracted on the matrix is formed in the paraxial region of the far diffraction zone. Discrimination of local polarization states in accordance with the proposed algorithm makes it possible to synthesize a binary spatial distribution, which is a unique identifier of the analyzed symbol sequence. Results: Modeling of the processes of phase coding and subsequent analysis of local polarization states in the near-axial region using sequencing results for the strains "Wuhan”, "Delta” and "Omicron” of the SARS-CoV-2 virus has shown a high sensitivity of the method to local changes in the structure of nucleotide sequences. Conclusion: The results of the simulation allow us to conclude that binary distributions of local polarization states of light fields diffracted on DNA-associated phase-modulating structures recorded in the axial region are characterized by high sensitivity to local mutational changes in the structure of nucleotide sequences. The results obtained can be used as a basis for creating effective hybrid methods for analyzing genetic information using the principles of polarization coding and small-angle polarimetry. © 2023 Vestnik Novosibirskogo Gosudarstvennogo Universiteta, Seriya: Istoriya, Filologiya. All rights reserved.

Effects of Critical Components of Home Office on Ergonomics of Workers during COVID-19 Pandemic

Background: The COVID-19 has impacted our education system in various ways and to compensate the losses, teachers had to make quick transition from face to face teaching to online mode of teaching. This unexpected transition has entailed challenges and constraints for the health all of us. Objective: To find the effect of critical components of home-office on the ergonomics of workers. Study type, settings and duration: This cross sectional survey was conducted at Riphah International University (all departments), Lahore Grammar School, Lahore and Minhaj University, Lahore from March to June 2020. Methodology: This was a cross sectional survey on computer workers and faculty from educational setups such as university centers in an attempt to determine the effects of critical components of home-office on the ergonomics of the workers. The sample size was calculated to N=80. As per inclusion criteria, workers and members of faculty working on computers from Lahore, had worked from home-office during the lock down for consistent 4 months and the working should be synchronous, were included in this study. REBA questionnaire was used to collect data from the workers in person. Frequencies and percentages were calculated to find the impact of home-office components on the ergonomics of the workers. Results: The study found that 57% of computer workers between 26-30 years had a high risk index for poor ergonomics, with moderate changes in 71.3% of the population. The REBA score represents MSD risk for the job task and the design goal is 4. Conclusion: From this study it was concluded that nearly 70% of the population was having an ergonomically poor posture while working. In addition to that, in nearly half of the population the risk was significant.

Barriers to integrating lean construction and integrated project delivery (IPD) on construction megaprojects towards the global integrated delivery (GID) in multinational organisations: lean IPD&GID transformative initiatives

PurposeThe architecture, engineering and construction (AEC) industry encounter substantial risks and challenges in its evolution towards sustainable development. International businesses, multinational AEC organisations, technical professionals, project and portfolio management organisations face global connectivity challenges between business units, especially during the outbreak of novel coronavirus pandemic, to manage construction megaprojects (CMPs). That raises the need to manage global connectivity as a main strategic goal of global organisations. This paper aims to investigate barriers to integrating lean construction (LC) practices and integrated project delivery (IPD) on CMPs towards the global integrated delivery (GID) transformative initiatives and develop future of work (FOW) global initiatives in contemporary multinational AEC organisations.Design/methodology/approachA two-stage quantitative and qualitative research approach is adopted. The qualitative research methodology consists of a literature review to appraise barriers to integrating LeanIPD&GID on CMPs. Barriers are arranged into six-factor clusters (FCs), with a conceptualisation of LeanIPD&GID, GID strategy placements and FOW global initiatives with multiple validations. This analysis also involved semi-structured interviews and focus group techniques. Stage two consisted of an empirical questionnaire survey that shaped the foundation of analysis and findings of 230 respondents from 23 countries with extensive cosmopolitan experience in the construction of megaprojects. The survey examined a set of 28 barriers to integrating LeanIPD&GID on CMPs resulting from a detailed analysis of extant literature after validation. Descriptive and inferential statistical tests were exploited for data analysis, percentage scoring analysis, principal component analysis (PCA) and eigenvalues were used to elaborate on clustered factors.FindingsThe research conceptualised LeanIPD&GID principles and proposed GID strategy placements for LeanIPD&GID transformative initiatives and FOW global initiatives. It concluded that the most significant barriers to integration of LeanIPD&GID on CMPs are "lack of mandatory building information modelling (BIM) and LC industry standards and regulations by governments”, "lack of involvement and support of governments”, "high costs of BIM software licenses”, "resistance of industry to change from traditional working practices” and "high initial investment in staff training costs of BIM”. PCA revealed the most significant FCs are "education and knowledge-related barriers”, "project objectives-related barriers” and "attitude-related barriers”. Awareness of BIM in the Middle East and North Africa (MENA) region is higher than LC and LC awareness is higher than IPD knowledge. Whilst BIM adoption in the MENA region is higher than LC;the second is still taking its first steps, whilst IPD has little implementation. LeanBIM is slightly integrated, whilst LeanIPD integration is almost not present.Originality/valueThe research findings, conclusion and recommendation and proposed GID strategy placements for LeanIPD&GID transformative initiatives to integrating LeanIPD&GID on CMPs. This will allow project key stakeholders to place emphasis on tackling LeanIPD&GID barriers identified in this research and commence GID strategies. The study has provided effective practical strategies for enhancing the integration of LeanIPD&GID transformative initiatives on CMPs.

Untangling the Integral Impact of Land Use Change, Economic, Ecological and Social Factors on the Development of Burabay District (Kazakhstan) during the Period 1999–2021

Long-term spatiotemporal Land Use and Land Cover (LULC) analysis is an objective tool for assessing patterns of sustainable development (SD). The basic purpose of this research is to define the Driving Mechanisms (DM) and assess the trend of SD in the Burabay district (Kazakhstan), which includes a city, an agro-industrial complex, and a national natural park, based on the integrated use of spatiotemporal data (STD), economic, environmental, and social (EES) indicators. The research was performed on the GEE platform using Landsat and Random Forest. The DM were studied by Multiple Linear Regression and Principal Component Analysis. SD trend was assessed through sequential transformations, aggregations, and integrations of 36 original STD and EES indicators. The overall classification accuracy was 0.85–0.97. Over the past 23 years, pasture area has changed the most (−16.69%), followed by arable land (+14.72%), forest area increased slightly (+1.81%), and built-up land—only +0.16%. The DM of development of the AOI are mainly economic components. There has been a noticeable drop in the development growth of the study area in 2021, which is apparently a consequence of the COVID-19. The upshots of the research can serve as a foundation for evaluating SD and LULC policy.

Special Isue: Virtual anatomy, histology and embryology in research and education. (Special Isue: Virtual anatomy, histology and embryology in research and education.)

This issue contains 13 articles on the use of virtual anatomy, histology and embryology in research and education;digital histological morphometry of the human pineal gland in a postmortem study, with endocrine and neurological clinical implications;an international collaborative approach to learning histology using a virtual microscope;delivery anatomy kits to help keep practical veterinary classes during the COVID-19 pandemic;how virtual animal anatomy facilitated a successful transition to online instruction and supported student learning during the coronavirus pandemic;using videos in active learning in veterinary anatomy;dissection videos as a virtual veterinary anatomy peer learning tool at the University of Tehran during the COVID-19 pandemic;a new virtual platform for teaching comparative animal neuroanatomy based on metameric slices of the central nervous system;application of student remote and distance research in neuroanatomy by mapping Dscaml1 expression with a LacZ gene trap in mouse brain;implementing a multi-colour genetic marker analysis technique for embryology education;impact of COVID-19 on student attainment and pedagogical needs when undertaking independent scientific research;extended reality veterinary medicine case studies for diagnostic veterinary imaging instruction and assessing student perceptions and examination performance and students' performance in teaching neuroanatomy using traditional and technology-based methods. 16 proceedings from the Trans-European Pedagogic Anatomy Research Group (TEPARG) Hybrid Meeting entitled "Hybrid Anatomy Education: Barriers and Enablers for Students and Educators" held in Barcelona, Spain, during 5 March 2022, are also included.

Evaluation of the implementation of WHO infection prevention and control core components in Turkish health care facilities: results from a WHO infection prevention and control assessment framework (IPCAF)-based survey.

BACKGROUND: The core components (CCs) of infection prevention and control (IPC) from World Health Organization (WHO) are crucial for the safety and quality of health care. Our objective was to examine the level of implementation of WHO infection prevention and control core components (IPC CC) in a developing country. We also aimed to evaluate health care-associated infections (HAIs) and antimicrobial resistance (AMR) in intensive care units (ICUs) in association with implemented IPC CCs. METHODS: Members of the Turkish Infectious Diseases and Clinical Microbiology Specialization Association (EKMUD) were invited to the study via e-mail. Volunteer members of any healt care facilities (HCFs) participated in the study. The investigating doctor of each HCF filled out a questionnaire to collect data on IPC implementations, including the Infection Prevention and Control Assessment Framework (IPCAF) and HAIs/AMR in ICUs in 2021. RESULTS: A total of 68 HCFs from seven regions in Türkiye and the Turkish Republic of Northern Cyprus participated while 85% of these were tertiary care hospitals. Fifty (73.5%) HCFs had advanced IPC level, whereas 16 (23.5%) of the 68 hospitals had intermediate IPC levels. The hospitals' median (IQR) IPCAF score was 668.8 (125.0) points. Workload, staffing and occupancy (CC7; median 70 points) and multimodal strategies (CC5; median 75 points) had the lowest scores. The limited number of nurses were the most important problems. Hospitals with a bed capacity of > 1000 beds had higher rates of HAIs. Certified IPC specialists, frequent feedback, and enough nurses reduced HAIs. The most common HAIs were central line-associated blood stream infections. Most HAIs were caused by gram negative bacteria, which have a high AMR. CONCLUSIONS: Most HCFs had an advanced level of IPC implementation, for which staffing was an important driver. To further improve care quality and ensure everyone has access to safe care, it is a key element to have enough staff, the availability of certified IPC specialists, and frequent feedback. Although there is a significant decrease in HAI rates compared to previous years, HAI rates are still high and AMR is an important problem. Increasing nurses and reducing workload can prevent HAIs and AMR. Nationwide "Antibiotic Stewardship Programme" should be initiated.