bluuebunny/crossref_metadata_2025 huggingface dataset:
ASSESSMENT OF THE TREATMENT QUALITY OF PATIENTS WITH FUNCTIONAL DISORDERS OF THE DENTO-MAGULAR APPARATUS COMBINED WITH THE DENTOALVEOLAR FORM OF DEEP BITE
Authors: Proschenko Аndrii М. , Proschenko Nina S. , Shemelko Mariana L. , Reshetnyk Luidmyla L. , Chervonna Nadiia V. , Sorokina Кseniia О.
Published: June 2024

Introduction. Patients with a deep bite and dental restorations are at increased risk of unfixing of fixed appliances and other complications due to occlusal defects. The problem of the volume of dental interventions and rational choice of the type, as well as the elimination of complications after their implementation, is relevant and unsolved, especially in patients with disorders of the dental and jaw apparatus, combined with the dentoalveolar form of a deep bite.
The aim of the research was to improve the quality of orthodontic treatment of patients with a deep bite, existing reconstructive restorations and occlusal disorders by developing a scientifically based clinical algorithm for fixation of fixed orthodontic equipment.
Materials and methods. The main group – 29 patients who were treated according to the scheme of fixation of non-removable equipment developed by us and the use of myorelaxation methods, and the research group – 22 people who were treated with generally accepted method. Methods: questionnaires, clinical and radiological, instrumental and statistical.
The results of our experimental study of patients illustrated that the scheme of the proposed algorithm for fixing fixed appliances in the future will have the opportunity to increase the efficiency of providing dental care and will be implemented in the treatment process in patients with a deep bite, because they are in the group of increased risk of unpredicted debonding of fixed orthodontic appliances.
Conclusions. The results of our experimental study of patients illustrated that the scheme of the proposed algorithm for fixing fixed appliances in the future will have the opportunity to increase the efficiency of dental care and will be implemented in the treatment process in patients with a deep bite, because they are in the group of increased risk of unpredicted debonding of fixed orthodontic appliances.
ALGORITHM FOR THE APPLICATION OF PHYSICAL THERAPY FOR CRITICALLY ILL PATIENTS IN THE CONDITIONS OF THE DEPARTMENT OF ANESTHESIA AND INTENSIVE CARE UNIT
Authors: Yarosh Yulii І. , Romanyshyn Мykola І.
Published: June 2024

Aim. Create and justify the algorithm of physical therapy application, which will be used at the early stage of treatment of critically ill patients treated in the transferred anesthesiology and intensive care unit.
Materials and methods. The study was conducted during five months of 2023 in two medical and diagnostic centers in Kyiv, Ukraine, in the conditions of the department of anesthesiology and intensive care unit. 80 critically ill patients took part in the study, who were divided into main and control groups of 40 people each. Participants in the main group had physical therapy included in the treatment process, while the control group did not receive such treatment. The sample of patients was based on selection on the basis of indicators of critical condition and the need for treatment in the conditions of the anesthesiology and intensive care unit. Participation in the study varied from 1 to 3 weeks, with the first assessment at the meeting with the physical therapist and the last before discharge or transfer of the patient. Assessment included manual muscle testing and the Richmond Agitation/Sedation Scale, as well as observation for comorbidities. During the research, a developed algorithm for the use of physical therapy for critically ill patients was applied.
Results. In the course of the study, a complex of physical therapy methods was used to influence the dynamics of the patients' state of consciousness, the functional strength of the muscles of the upper and lower limbs, as well as to study the frequency and severity of the development of accompanying complications (bedsores, contractures, swellings, deformations, wounds). Data collected from the main and control groups were subjected to comparative statistical analysis. The results of the analysis confirm that the use of the developed algorithm of physical therapy contributed to a significant improvement in the cognitive state of the participants, an increase in functional strength in the muscles of the limbs, and also effectively reduced the risk and severity of comorbidities. This indicates the importance of integrating physical therapy into a comprehensive approach to the treatment of critically ill patients.
Conclusions. The proposed approach to the use of physical therapy for patients who are in critical condition and treated in the conditions of the department of anesthesiology and intensive care confirms its high efficiency in the early stages of treatment. Studies show that the use of physical therapy improves the functional state of muscles, improves the cognitive functions of patients, and also helps to prevent the development of concomitant complications that may occur during a stay in the conditions of the anesthesiology and intensive care units.
HEPATOTOXIC EFFECTS DUE TO THE COMBINED CONSUMPTION OF OPIOID DRUGS AND ALCOHOL
Authors: Kurdil Natalia V. , Palamar Boris I. , Lisovska Viktoria S. , Zhminko Petro G. , Balan Halyna M. , Andryushchenko Vladyslava V.
Published: June 2024

Introduction. Over the past 20 years, opioid consumption in the world has reached epidemic proportions, which has led to an increase in premature mortality and significantly changed the epidemiology of liver diseases.
Aim. The study of features of liver injury with combined consumption of opioid drugs and alcohol.
Materials and methods. A retrospective analysis of the medical data of 1,540 patients with the diagnoses of "Acute narcotic poisoning" and "Acute methadone poisoning" (ICD-10:Т40.0-Т40.3); 42 acts of forensic medical and forensic histological examination of death cases associated with illegal methadone and alcohol were considered. Clinical, biochemical, and pathohistological studies were used. Histological samples were examined using an Olympus CX 41 microscope in transmitted light, at magnifications of 100, 200, and 400 times. The SPSS Statistics 29.0.0.0 program was used, Pearson's correlation analysis was used, p≤0.05.
Results. According to the results of forensic and histological studies, pronounced infiltration of the liver tissue by small lymphocytes (r=0.471, р=0.002) was found in persons with a long history of illegal methadone and alcohol consumption, which was combined with portal fibrosis (r=0.333, р=0.021) and, in some cases, moderate proliferation of bile ducts (r=0.203, p=0.047). Morphometric analysis of liver biopsies revealed sinusoidal dilatation, inflammatory and fibrotic changes of the terminal hepatic venules (r=0.501, p=0.017); sclerotic changes were noted from the expansion of the portal tracts due to fibrosis and to the initial signs of a partial structure violation, which indicates the transition to cirrhosis.
Conclusions. The progressive spread of the practice of combined consumption of opioid drugs on the example of methadone and alcohol increases the risk of hepatotoxic effects, in particular, accelerating the development of fibrosis and cirrhosis.
ORTHOTOPIC HEART TRANSPLANTATION IN A PATIENT WITH A PERSISTENT LEFT SUPERIOR VENA CAVA: СASE REPORT
Authors: Todurov Borys М. , Kovtun Gavrylo I. , Chaikovska Sofia M. , Sudakevych Serhii M. , Kaniura Oleksandr A.
Published: June 2024

Introduction. Persistent left superior vena cava is the most common congenital venous abnormality of the thorax and has a prevalence of 0,3-0,5% among the general population. In most cases, the presence of a persistent left superior vena cava is asymptomatic and is usually a finding during surgery. Most often additional left superior vena cava coexists with superior vena cava in 80-90% cases. This feature is extremely important for choosing the optimal surgical tactics.
Case Presentation. Patient Sh., 44 years old, was urgently hospitalized for orthotopic heart transplantation. From the anamnesis it is known that in 2017 the patient was diagnosed congenital heart disease: critical stenosis of the bicuspid aortic valve. However, the patient refused surgery at that moment. Conservative treatment was carried out. In 2022, the patient`s condition progressively worsened: severe exertional dyspnea, increased shortness of breath at rest, pitting edema in the lower extremities, interruptions in the work of the heart. The patient is diagnosed: dilated cardiomyopathy. The patient was included in the waiting list on the heart transplantation. In March 2023, patient underwent orthotopic heart transplantation with reconstruction a persistent left superior vena cava. A tubular conduit from the autopericardium with a diameter of 20 mm and a length of 5 cm was used for reconstruction. An anastomosis was formed between the distal part of the accessory left superior vena cava and the right atrial auricle. The patient was discharged without any complications and no signs of venous congestion in the upper body were detected during the follow-up examination after three months of observation.
Conclusions. Our clinical observation demonstrates the feasibility of successful orthotopic heart transplantation using an autologous autopericardium graft in patients with a persistent left superior vena cava and shows encouraging immediate follow-up results.
LIBERAL IMPERIALISM IN GERMANY
Authors: Fitzpatrick Matthew P.
Published: June 2024

In a work based on new archival, press, and literary sources, the author revises the picture of German imperialism as being the brainchild of a Machiavellian Bismarck or the "conservative revolutionaries" of the twentieth century. Instead, Fitzpatrick argues for the liberal origins of German imperialism, by demonstrating the links between nationalism and expansionism in a study that surveys the half century of imperialist agitation and activity leading up to the official founding of Germany’s colonial empire in 1884.
Territorial Organisation of the Resort “Yaremche” in the Nadvirna District of the Ivano-Frankivsk Region
Authors: Klapchuk Volodymyr , Dudin Volodymyr , Klapchuk Taras , Polyova Lesia
Published: June 2024

Topicality. The Ukrainian Carpathians (a part of the Eastern Carpathians in Ukraine) are among the best ones in the country in terms of recreational sphere development. Many years of experience in the field of recreation is an important prerequisite for its recognition as a priority in the economic complex of the region. The strategic goal of the development of any territory is to create a stable territorial-recreation system, optimally using natural, labour, material, technical, and other resources. This, in turn, will ensure the material well-being of the local population without disturbing the ecological balance in the Carpathian region.
The aim of the article is to implement the territorial organisation of the resort “Yaremche” with the help of information technologies.
Research methods. Both general scientific and special methods are used in this study. The basis of resort area zoning are information technologies and mapping methods, such as Autocad xb MapInfo, Digitals, Delta, Google Maps, and Virtual Earth, Google Earth Pro, and Open Streer Map. Digitisation of land covers are carried out according to their display on online satellite images in the Digitals program.
Results. The territorial organisation of the resort “Yaremche” is carried out with the help of information technologies. The allocation of each of the 13 zones with a total area of 11,313.897 hectares is substantiated: Carpathian National Nature Park Reserve Zone – 509.2448 hectares; Rivers Zone – 64.8532 hectares; Zone of Coastal Protection – 304.4698 hectares; Zone of Regulated Recreation of Carpathian National Nature Park – 2028.1494 hectares; Recreational Zone – 101.9866 hectares; Zone of Public Green Spaces – 18.7594 hectares; Zone of Other Green Areas – 623.9729 hectares; Zone of skiing tracks – 81.1291 hectares; Zone of Service Centres of Mountain Recreation Complexes – 18.9858 hectares; Land Area of Settlements (buildings) – 1183.7419 hectares; Zone of Recreational Forests of Dora Forestry of Delyatyn FI – 1746.3541 hectares; The zone of exploitation forests, other forest and non-forest lands of Dora Forestry of Deliatyn FA (Forestry Administration) – 4074.65 hectares; Zone of Exploitation Forests, Other Forest and Non-forest lands of Yaremche Nature Protection Scientific Research Department of Carpathian National Nature Park – 557.6 hectares.
Conclusions and discussion. The effectiveness of this research consists in optimising the use of the territory of the resort “Yaremche”. This will make it possible to improve its social efficiency, expand the medical facilities of the Ukrainian Carpathians, and improve the economic performance of the region.
Effective Wine Storage Methods in the Restaurant Industry Establishments
Authors: Neilenko Sergii , Tsyrulyk Iryna
Published: June 2024

Topicality. Consumer preferences of guests, which are constantly changing, require new methods of serving and storing uncorked wine bottles in the restaurant industry establishments. For those ones, who focus on wine, providing an expanded wine list has a positive effect on the guests’ satisfaction, and enhances the enterprise’s reputation. Optimising the processes of storing open wine bottles in restaurants can help to avoid outcome. Since the industry of the restaurant business is constantly developing, new technical means for storing wine can play a key role in improving the serving processes. The usage of modern methods in storing open wine bottles can improve the quality of service for guests, giving them opportunities to enjoy expensive and exclusive wine sorts due to maintaining its quality.
The aim of the article is to study ways of storing uncorked wine bottles in order to improve the quality and exіpand wine range in the restaurant business.
Research methods. In this article, a set of methods is used to study certain issues, namely: experimental, outcome and income analysis, statistical data analysis.
Results. The ways of storing open wine bottles are analysed, and it is established that effective methods of wine storage are presented on the modern world market with the help of: cork-blockers, vacuum sealers, and the Coravin device. A comprehensive quality indicator is calculated, as well as quality profiles of methods for storing open wine bottles are formed.
Conclusions and discussion. The efficiency calculation of using the methods of storing open wine bottles shows that the Coravin device is the most efficient. Thus, conducted studies show that Coravin is able to extend the shelf life of the uncorked wine bottle by 27 days. The analysis of the comprehensive quality index and modeling of the quality profile prove that Coravin is the most effective way of storing open wine bottles in the restaurant industry establishments, as the comprehensive index is 5.17, which is 2.3 times more than the control itself.
Evaluation factors of adopting smart home IoT: The hybrid fuzzy MCDM approach for robot vacuum
Authors: Yang Heng-Li , Li Bo-Yi
Published: June 2024

With the vigorous development of information technology, the applications of the Internet of Things (IoT) have become increasingly common in recent years. Robot vacuum has become a popular and representative product in smart homes. This study proposed a hybrid fuzzy multi-criteria decision-making (MCDM) model that applied fuzzy analytic network process (FANP) and decision-making trial and evaluation laboratory (DEMATEL) to analyze the critical factors evaluated by users when adopting a robot vacuum. It was found that the top two dimensions in order are “epistemic value” and “functional value”; and the top five factors in order are “novelty”, “exploratory”, “family information infrastructure”, “family consensus”, and “reliability”. Significant influential and affected factors were identified. Gender differences in decision-making factors are also discussed.
Design of regression neural network model for estimating the remaining useful life of lithium-ion battery
Authors: Khandelwal Kunal Subhash , Shete Virendra V.
Published: June 2024

Lithium-ion batteries are widely utilized in a variety of transportation sectors, including highways, airplanes, and defensive military applications because of their positive features, which include a low self-discharge rate, raised operating voltage, prolonged cycle life, and high energy density. Nevertheless, during operation, the battery undergoes adverse reactions that may eventually cause material aging and capacity deterioration. For this reason, the prediction of remaining useful life (RUL) for LiBs is important and necessary for ensuring reliable system operation. Moreover, accurate RUL prediction can effectively offer maintenance strategies to certify the system’s dependability and safety. The impedance of the battery plays a vital role in the degradation process and hence its measurement accounts for the changes in the battery’s internal parameters as aging occurs. The objective of this paper is to create a forecasting model for the lifespan of batteries through the application of data analysis. Moreover, it aims to use a Regression Neural Network (RNN) based mathematical model to assess the degradation of the battery across diverse operational scenarios. The co-efficient of the RNN model is found by solving the RNN equations. In this research, MATLAB is employed for data analysis, utilizing open-source battery data sourced from the NASA dataset. The conclusive prediction outcomes indicate the effectiveness of the proposed methodology in accurately forecasting the battery RUL.
An efficient multi-disease prediction model using advanced optimization aided weighted convolutional neural network with dilated gated recurrent unit
Authors: M Naveen Reddy , Satheeskumaran S.
Published: June 2024

In the medical field, prediction accuracy over multi-diseases is significant and it is helpful for improving the patient’s health. Most of the conventional machine learning techniques concentrates only on detecting single diseases. Only a few systems are developed for predicting more than one disease. The classification of multi-label data is a challenging issue. Patients have symptoms of various diseases while analyzing the medical data and hence it is necessary to implement tools for the earlier identification of problems. The patterns in the health data have been effectively identified through deep learning-based health risk prediction models. Thus, an efficient prediction model for predicting various types of diseases is implemented in this work. Initially, the required data regarding various types of diseases will be gathered from Kaggle database. The garnered healthcare data are pre-processed for quality enhancement. The pre-processing procedures include data cleaning, data transformation, and outlier detection are performed at first. The outlier detection is done using the “Density-Based Spatial Clustering of Applications with Noise (DBSCAN)” approach. The pre-processed data is then given to the Weighted Convolutional Neural Network Feature with Dilated Gated Recurrent Unit (WCNNF-DGRU) model. Here, the pre-processed data is provided to the CNN structure for feature extraction, in which the weights are optimized by means of the Enhanced Kookaburra Optimization Algorithm (EKOA). Then the features from the weighted CNN layer are provided to the Dilated GRU structure to determine the final prediction output. Experimental verification is carried out on the implemented WCDG in predicting multiple diseases by comparing it with other conventional prediction models and optimization algorithms.
Cognitive Impairment and Associated Factors Among Adults with Type 2 Diabetes Mellitus in Bahir Dar City Referral Hospitals, 2021: Cross-Sectional Study
Authors: Getasew Hiruy Endalk , Woldegiorgis Abate Teshager , Animaw Temesgen Worku , Bantie Berihun , Kassaw Yirga Gebrie , Nuru Muhamed Ahmed , Mitiku Shiferaw Sahilu , Misganaw Kebede Worku , Minwuyelet Yitayew Fentahun , Walelgn Dessalegn Nigusie
Published: June 2024

Background: Neurocognitive impairment, characterized by reduced performance in various cognitive domains, has been significantly linked with glycemic control in type 2 diabetes mellitus (T2DM) patients. Poorly controlled diabetes often results in decreased cognitive abilities, and a longer duration of the disease is associated with lower cognitive levels. Objective: This study aimed to evaluate the prevalence of cognitive impairment in adults with T2DM and identify related factors. Methods: An institution-based cross-sectional study was conducted among 421 adults with T2DM. A systematic random sampling was used to select study participants in two referral hospitals in Bahir Dar, Ethiopia. Standardized Mini-Mental State Examination tool was used. Binary logistic regression was used. Significance was declared at p value≤0.05 with 95% confidence interval. Results: Over a quarter (27.6%) of participants were identified as cognitively impaired. Factors associated with lower cognitive status included older age, being single, lower education level, farming occupation, presence of comorbidity, and engagement in moderate physical activity. Conclusions: In conclusion, the prevalence of cognitive impairment among T2DM patients is a growing concern. Several risk factors have been identified like age group, marital status, education level, occupation, presence of comorbidity, and moderate physical activities. The impact of cognitive impairment on the quality of life and functional abilities of T2DM patients should not be underestimated.
Generation and Characterization of a Novel Knockin Mouse Model Expressing PSEN1 D385A: Implications for Investigating Herbal Drug Effects in γ-Secretase Activity
Authors: Deng Chengeng , Cai Qingyuan , Zhang Jiani , Chang Kexin , Peng Tiantian , Liu Xiaoge , Cao Feng , Yan Xinyuan , Cheng Junshi , Wang Xu , Tan Yan , Hua Qian
Published: June 2024

Background:

Presenilin (PSEN, PS) is essential for γ-secretase function, and mutations can disrupt amyloid-β (Aβ) production in familial Alzheimer’s disease. Targeting γ-secretase is complex due to its broad involvement in physiological processes.

Objective:

Our aim was to create a novel knockin (KI) mouse model expressing PSEN1 D385A mutation and investigate the efficacy of a Geniposide and Ginsenoside Rg1 combination (NeuroProtect modified formula, NP-2) in restoring γ-secretase activity.

Methods:

Using gene manipulation, we established the PS1 D385A KI mouse model and confirmed the mutation, mRNA, and protein levels using Southern blotting, northern blotting, and western blotting, respectively. In vitro γ-secretase assay was conducted to measure γ-secretase activity, while histological analyses examined neurogenesis effects. NP-2 administration evaluated its impact on γ-secretase activity.

Results:

The PS1 D385A KI homozygotes displayed severe cerebral hemorrhage, postnatal lethality, developmental disorders, reduced proliferation of neural progenitor cells, and disrupted γ-secretase function. The mutation abolished PS1 protein self-shearing, leading to compromised γ-secretase activity. NP-2 intervention effectively restored γ-secretase activity in the heterozygous mice.

Conclusions:

PS1 D385A mutant disrupted PS1 protein self-cleaving, impairing γ-secretase activity in KI mice. NP-2 restored γ-secretase function, offering potential for novel AD treatment strategies despite the challenges posed by γ-secretase’s complex role in physiological processes.
Association of Advanced Glycation End Products with Cognitive Function: HealthyDance Study
Authors: Deng Senli , He Ruikun , Yue Zhongbao , Li Benchao , Li Fengping , Xiao Qing , Wang Xiaoge , Li Yuanyuan , Chen Ruilin , Rong Shuang
Published: June 2024

Background: The current research on advanced glycosylation end products (AGEs) and cognitive function is limited. Objective: We aimed to investigate the relationship between multiple plasma AGEs and cognitive function and mild cognitive impairment (MCI). Methods: Baseline data from The Lifestyle and Healthy Aging of Chinese Square Dancer Study was used in this cross-sectional study. Ultra-high-performance liquid chromatography tandem mass spectrometry was used to determine plasma levels of carboxymethyl lysine (CML), carboxyethyl lysine (CEL), and methyl imidazolinone (MG-H1). Four cognitive tests were used to obtain the four cognitive domain scores and the composite z scores. The Petersen criteria were used to diagnose MCI. The data were analyzed by multivariable linear and logistic regression models. Results: This study included 1,018 participants (median age 61.0 years, 87.3% female). After multivariate adjustment, the βs of the highest quartile of CML and CEL compared to the lowest quartile were –0.28 (–0.38, –0.17) and –0.13 (–0.23, –0.03), respectively, for the composite z score. For the four cognitive domains, CML was negatively correlated with memory, attention, and executive function, and CEL was negatively associated with memory and language function. In addition, higher CML was associated with a higher odds of MCI. MG-H1 was not associated with cognitive function. Conclusions: High plasma AGE levels were correlated with poorer cognitive function, particularly CML and CEL, higher levels of CML were also associated with higher odds of MCI. To clarify the effects of different AGEs on cognitive function and the underlying mechanisms, further longitudinal and experimental studies are needed.
Two complementary examples of electrification in the cement industry
Authors: Van Reusel Koen
Published: June 2024

The European “Horizon 2020” LEILAC and DESTINY projects are two examples of electrification in the cement industry. LEILAC shows how resistance heating can be applied as a substitution of an existing gas-supplied process. The use of microwave heating in the DESTINY project illustrates the downscaling of the production paradigm towards small on-site-of-demand cement production, allowing a further reduction in CO2 emission.
Higher education quality evaluation based on neural network model
Authors: Qiao Fengfeng , Chen Xinchen , Ding Zenghui
Published: June 2024

With the constant goal of improving the quality of higher education, quality evaluation is a widely concerned problem, prompting this study to construct a higher education quality evaluation method based on a neural network model. First, an Attention Relevance Confidence Satisfaction (ARCS) model was constructed herein. This was done through two rounds of screening; the evaluation indexes of higher education quality were selected, and an evaluation index system was finally constructed. Then, the weight of each evaluation index was calculated using the constructed ARCS model. According to the 1–9 grading scale, an index scoring matrix of industry-education integration was established. Afterwards, the higher education quality evaluation score was obtained based on the neural network model, and the evaluation effect level was determined. The experimental results showed that the quality evaluation effect of the proposed method in the past five years showed an overall rising trend, even already reaching the top level. Moreover, the denoised experimental dataset was finally divided into a test dataset (28%) and an experimental dataset (72%), with the proposed method exhibiting a favorable effect.
Prediction of 10,000-hour rate of civil aviation incidents based on grey Markov model
Authors: Li Zhen , Guo Xinyao , Si Qingmin , Fu Shuai , Lin Chen
Published: June 2024

The 10,000-hour rate of civil aviation incidents is an important index parameter to measure flight safety. Predicting the development trend of the 10,000-hour rate of civil aviation incidents plays an important role in aviation accident prevention and safety decision-making. Many complex factors influence the occurrence of civil aviation incidents, so the 10,000-hour rate of civil aviation incidents changes randomly and volatilely. This study proposed the idea of prediction by combining the grey GM (1, 1) model and the Markov model. Specifically, the grey GM (1, 1) prediction model was constructed using the statistical data on the 10,000-hour rate of civil aviation incidents in China during 2005–2020. On this basis, a grey Markov prediction model was established. The prediction of the 10,000-hour rate of incidents in 2021 based on the two models showed that the grey Markov model displayed higher prediction accuracy than the grey GM (1, 1) model and conformed to the change laws of the 10,000-hour rate data of civil aviation incidents better. Moreover, the grey Markov model could effectively improve the accuracy of the grey prediction model, compensate for its deficiencies, and facilitate the mastery of the change laws of civil aviation incidents, providing a reliable basis for aviation safety management and incident prevention.
Tourism energy consumption estimation and driving factors of carbon emissions based on LMDI and panel data models
Authors: Mou Dan
Published: June 2024

Tourism has had some negative effects while generating positive results. The carbon emissions produced by tourism, which is not a “smokeless industry” in traditional cognition, account for a certain proportion of the global greenhouse gas emissions. Tourism transportation, tourist accommodation, and other tourism activities all contribute to the carbon emission of tourism, and various tourism activities not only stimulate the economy but also increase air pollution. As a big industry, tourism’s growth and development have continuously increased energy consumption, and the pressure on energy conservation and emission reduction has also been greatly aggravated. In this study, the tourism carbon emissions in each province of China were estimated using a “top-down” calculation model, the tourism energy consumption factors were decomposed using a logarithmic mean Divisia index model, and the driving factors of tourism carbon emissions were analyzed through a panel data model. Results show that the tourism carbon emissions in China rapidly increased from 360.74 million tons in 2006 to 853.28 million tons in 2021. The driving factors of tourism energy consumption in China are economic development, energy efficiency, and population, while the inhibiting factors are tourism intensity and energy structure. The per capita GDP, the proportion of the tertiary industry, the turnover of tourists, and the level of urbanization all significantly promote the growth of tourism carbon emissions in China at 1%. The research results are of great significance to the proposal of measures for tourism carbon emission reduction in combination with the situation of various provinces and cities, promoting regional economic development and boosting the development of tourism in China under the background of a low-carbon economy.
Partially ordered set evaluation of logistics competitiveness of coastal port cites considering carbon emissions
Authors: Lu Sumei
Published: June 2024

Aiming at the problem of logistics competitiveness of coastal cities, a logistics competitiveness evaluation method based on weighted and partially ordered set combinations is proposed. Carbon emissions and inhalable pollutant concentrations are included in the evaluation scope, and an evaluation index system for the logistics competitiveness of 17 coastal port cities is constructed. The results show that: (1) the competitiveness of the logistics industry in 17 coastal port cities in China has been continuously improved, and the catch-up effect of logistics industry development in coastal port cities such as Shenzhen, Ningbo and Qingdao is obvious. The competitiveness level of the logistics industry shows an obvious spatial imbalance. (2) The competitiveness of the logistics industry in Yingkou, Beibu Gulf and other coastal port cities is low, and the difference in competitiveness of the logistics industry in coastal port cities is the main reason for the overall imbalance. (3) The technological innovation, openness and economic development level of the city and the hinterland have a positive impact on the competitiveness of the logistics industry, and the level of economic development has the greatest contribution to the variance of the competitiveness of the logistics industry. The logistics competitiveness of 17 cities is ranked and classified. The leading cities have core diffusion effects and promote the development of the competitiveness of each city. Suggestions on improving the competitiveness of cities are conducive to the high-quality development of China’s logistics industry.
Drying kinetics and quality characteristics of exocarpium citreic grandis slices with hot air, vacuum, and microwave vacuum dryers
Authors: Li Qiang , Pan Xiaoli , Fan Wenyan , Zhou Ying , Liu Yongfu , Yu Wangxin , Li Dongyu , Li Wenyue , Li Weibin
Published: June 2024

The study investigates the impact of different drying methods on the selection of thin-layer drying kinetic models, parameters, and quality for Exocarpium Citreic Grandis. This study investigates the drying characteristics, index constituents content, and microscopic structures of Exocarpium Citreic Grandis slices, subjected to three drying techniques: HAD (at 50, 60, 70∘C), VD (at 50, 60, 70∘C), and MVD (at 1000, 1500, 2000W). A thin-layer drying kinetic model was established. The findings demonstrated that the drying process was primarily dominated by the falling rate phase. When the drying temperature was 70∘C and the microwave power was 2000W, the HAD VD, and MVD took 120, 360, and 20 minutes respectively. By fitting six commonly used thin-layer drying models, it was discovered that the optimal mathematical models for HAD, VD, and MVD were the Page model, the Logarithmic model, and the Page model, respectively. The highest average R2 values were 0.9963, 0.9965, and 0.9964, and the lowest average RMSE values were 0.01782, 0.01704, and 0.0174 respectively. The effective diffusion coefficient increased with the drying temperature and microwave power, with MVD having the maximum coefficient. As the temperature and microwave power increased, the contents of naringin and rhoifolin decreased. However, the naringin content in MVD was 23.05% and 45.71% higher compared to hot air and VD respectively. The cross-section of Exocarpium Citreic Grandis dried via microwave vacuum exhibited a porous honeycomb structure with uniformly distributed spaces and larger pores, reflecting an expansion effect. The HAD process also resulted in a honeycomb-like structure, but with smaller pores. The VD process resulted in a layered structure with significant cell collapse. Microwave vacuum drying demonstrates superior energy efficiency and product quality compared to hot air and vacuum drying methods. The study finds that microwave drying does not have a destructive impact on the active compounds of Exocarpium Citreic Grandis. To facilitate large-scale, continuous production, microwave drying can be practically applied in industrial processing.
Research on the construction and application of an invention patent model based on TFAHP-FAHP algorithm
Authors: Wang Chong
Published: June 2024

The TFAHP-FAHP algorithm model constructed in this article can preferably avoid subjective assumptions caused by human factor. The new energy vehicle power battery is a core component for improving the performance of electric vehicles, and constitutes one of the most valuable parts of the invention patent for new energy vehicles. Patent pledge financing is a brand new form with great potential. However, as a result of the imperfect system of the patent pledge financing, banks and other financial institutions are exposed to an increased risk in the process of the patent pledge financing, which seriously limits the development of the patent pledge financing for power battery. In view of the above issues, this paper uses the SPSS reliability and validity tests in order to develop a relatively complete and accurate index system. TFAHP algorithm model and fuzzy comprehensive are combined to determine the final correction coefficient. In this study, the income method is used to determine the pledge valuation value of a new energy vehicle power battery patent portfolio, and the AHP algorithm method is used to determine the weight of the value of the invention patent portfolio within the patent portfolio. As a result, in this paper, the pledge value of the patent portfolio is multiplied by a proportion of the invention patent portfolio’s value, and then multiplied by a correction coefficient to obtain the final new energy vehicle power battery invention patent portfolio pledge value. Using this reference value, technology-based energy companies can pledge financing for new energy vehicle power battery invention patent portfolios.
Intelligent identification system of wild animals image based on deep learning in biodiversity conservation law
Authors: Liang Xiaolong , Pan Derun , Yu Jiayi
Published: June 2024

This study aims to overcome the impact of complex environmental backgrounds on the recognition of wildlife in monitoring images, thereby exploring the role of a deep learning-based intelligent wildlife recognition system in biodiversity conservation. The automatic identification of wildlife images is conducted based on convolutional neural networks (CNNs). Target detection technology, based on regression algorithms, is initially employed to extract Regions of Interest (ROI) containing wildlife from images. The wildlife regions in monitoring images are detected, segmented, and converted into ROI images. A dual-channel network model based on Visual Geometry Group 16 (VGG16) is implemented to extract features from sample images. Finally, these features are input into a classifier to achieve wildlife recognition. The proposed optimized model demonstrates superior recognition performance for five wildlife species, caribou, lynx, mule deer, badger, and antelope, compared to the dual-channel network model based on VGG16. The optimized model achieves a Mean Average Precision (MAP) of 0.714, with a maximum difference of 0.145 compared to the other three network structures, affirming its effectiveness in enhancing the accuracy of automatic wildlife recognition. The model effectively addresses the issue of low recognition accuracy caused by the complexity of background information in monitoring images, achieving high-precision recognition and holding significant implications for the implementation of biodiversity conservation laws.
The supply chain advantages and application strategies of artificial intelligence and the Internet of Things
Authors: Wu Yongyi , Jiang Jingfeng , Wen Zhendan
Published: June 2024

This work addresses issues such as inadequate teaching methods, a lack of teaching resources, and low proactiveness in current accounting education. It introduces a novel teaching approach termed “Just-in-Time Teaching (JITT) cloud teaching,” which integrates “real-time teaching” with the Internet of Things-based “cloud teaching model” specifically for accounting education. First, the current status of accounting education in secondary vocational schools is investigated through a questionnaire survey. Subsequently, adjustments are made to the traditional teaching model, considering the limitations in teaching media creation channels and challenges in teaching activities. The teaching content of accounting education is designed in terms of mind maps, curriculum type, and problem design. The findings indicate: (1) Almost half of the surveyed teachers have heard of but never used the JITT cloud teaching, and the proportion is the largest. Some teachers have used but disapprove of JITT cloud teaching. (2) The proportion of students using website learning resources is 43.81%, while the proportion using mobile learning applications is 38.34%. (3) There is a significant difference between the traditional teaching mode and the JITT teaching mode in terms of “classroom teaching” and “sense of responsibility”. The average values under the JITT teaching mode have significantly improved compared to the traditional one. (4) The experimental group has a higher proportion of students scoring 90–100, which is 58%, significantly higher than the control group. The above research results indicate that there are still many possibilities for the practical application of the JITT teaching method in the future Moreover, applying the JITT cloud teaching model contributes to enhancing teaching quality and supports students’ learning.
Impact of Physical Exercise on Levodopa Therapy Across Parkinson’s Disease Stages
Authors: Figura Monika , Mrozowicz Agnieszka , Milanowski Łukasz , Szlufik Stanisław , Raćkowska Emilia , Lypkan Hanna , Friedman Andrzej , Koziorowski Dariusz , Giebułtowicz Joanna
Published: June 2024

Background:

Levodopa is the gold standard of treatment in Parkinson’s disease (PD). Its clinical effect changes as the disease progresses. Wearing off is a frequent first manifestation of motor fluctuations. Some patients with advanced PD report faster wearing off after physical exercise.

Objective:

The aim was to assess if pharmacokinetics of levodopa is influenced by physical exercise in patients with different disease advancement.

Methods:

22 patients with PD (12 untreated with levodopa and 10 with motor fluctuations) and 7 healthy controls (HC) were included. Plasma samples were collected at 9 fixed timepoints following administration of levodopa/benserazide 200/50 mg for two days: rest day and standardized physical exercise day. Clinical assessment with Unified Parkinson Disease Rating Scale part III (UPDRS III) was performed in fixed timepoints. Liquid chromatography-tandem mass spectrometry was used to measure levodopa concentrations.

Results:

No differences between the HC, levodopa naïve and advanced PD groups were observed regarding selected pharmacokinetic parameters. In advanced PD and HC no differences in pharmacokinetic parameters of levodopa with and without effort were observed. In levodopa naïve PD group higher mean residence time after rest than after exercise (168.9±48.3 min vs. 145.5±50.8 min; p = 0.026) was observed. In advanced PD group higher UPDRS III score (14.45±5.5 versus 20.9±6.1 points, p = 0.04) was observed after exercise.

Conclusions:

The deterioration of motor status of advanced PD patients after physical effort is not reflected by changes in pharmacokinetics but rather mediated by central mechanisms.
Circular economy as applied to refractory materials
Authors: Aksel'rod L. M. , Panov E. V.
Published: June 2024

The closed-loop economy concerning refractory materials is implemented through systematic involvement in post-operational usage in thermal, including metallurgical, units as secondary (by-product) raw materials. This is one of today's trends in resource and energy economics, reducing carbon footprint and CO2 emissions, decreasing waste with subsequent disposal in landfills. Purified scrap of refractory materials is used as supplementary materials in metallurgical processes, commonly referred to as scrap utilization when used as fluxes to adjust slag composition in metallurgical units, molded materials for welding in converters, refractory fillers in the production of unformed materi-als for sections lining working outside the aggressive influence of molten metal and slag, etc. For these purposes, the scrap is sorted into grades, crushed and screened, occasionally incorporating other products. Refractory scrap after ser-vice in metallurgical units usually has higher impurity content, higher porosity, and contains fragmented remnants of the refractory structure. Recycling refractory scrap may additionally involve technological methods for extracting impurities (enrichment) with subsequent use of the recyclate directly in refractory production, partially replacing primary raw materials. In this case, research work with involvement of qualified specialists and the entire body of knowledge in creating new refractory materials is necessary. Practice has shown that qualified involvement of recyclate in manufacturing processes of high-quality refractories is accompanied by solving non-standard tasks and requires a special approach, including the issue of removing introduced or formed foreign materials in refractory material during its operation. Enrichment is an effective direction for cleaning refractory scrap, extracting quality materials during processing of waste from mining enterprises, materials of technogenic origin to obtain recyclate of necessary quality. The enrichment technology is selected based on the set tasks. Recyclate quality for use alongside primary raw materials must guarantee refractory manufacturers meet the corresponding requirements of end-users. An original technology of recyclate enrichment during its selective grinding with product separation using air-gravitational and centrifugal-air classification has been developed
Multiple and complex eye injuries in children
Authors:   Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation, Arzhimatova G.Sh. ,   S.P. Botkin City Clinical Hospital, Moscow, Russian Federation, Karaseva O.V. ,   Research Institute for Children's Emergency Surgery and Trauma, Moscow, Russian Federation, Koroleva E.A. ,   Research Institute for Children's Emergency Surgery and Trauma, Moscow, Russian Federation, Chernakova G.M. ,   S.P. Botkin City Clinical Hospital, Moscow, Russian Federation
Published: June 2024

Aim: to identify the medical and epidemiological hallmarks of eye damage in children with complex and multiple injuries in a specialized surgical department. Patients and Methods: this study included 403 children aged 1 month to 18 years with eye injuries associated with multiple or complex injuries of varying severity on the day before hospital admission. All children were admitted between 2014 and 2020. The following data were evaluated: patient's age, gender, severity of complex trauma based on the ISS score, cause of trauma, combination of anatomical areas involved. Results: among children with mechanical complex eye injuries, 255 (63%) were boys and 148 (37%) were girls. The mean age of boys was 10.2±0.34 years, and the mean age of girls was 8.5±0.42 years. Furthermore, more than half (67.5%) of those included in the study were school-aged children and adolescents. The most common types of injuries were those resulting from falls from height, school, sports, gunshot/mine blast, and street incidents. In more than half of the children (n=227, 56.4%), orbital traumas affecting the walls and/or content were reported. The most common type of eye damage was a complex damage to the orbit and ocular adnexa (most often as a periorbital hematoma). The percentage of children with multiple fractures of the orbital walls increases with an increase in the severity of polytrauma. Conclusions: children most often received mechanical complex eye injuries as a result of road traffic accidents. The percentage of children with minor, moderate, and severe complex injuries (assessed by the ISS) was 47.1%, 18.4%, and 33.5%, respectively. Orbital fractures are the most common surgical entities in children with complex mechanical eye injuries. Unilateral orbital fractures were diagnosed in 56.4% of cases, while bilateral orbital fractures were diagnosed in 17.9%. In the majority of instances, mechanical complex eye injuries are associated with traumatic brain injury (99%). KEYWORDS: complex eye injuries, multiple injury, combined injury, mechanical complex eye injury, orbital fracture, orbital injury, morbidity pattern, damage to eye. FOR CITATION: Arzhimatova G.Sh., Karaseva O.V., Koroleva E.A., Chernakova G.M. Multiple and complex eye injuries in children. Russian Journal of Clinical Ophthalmology. 2024;24(2):78–82 (in Russ.). DOI: 10.32364/2311-7729-2024-24-2-6.