bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Treatment and Repair of Fracture with Functional Composite Bone Adhesive
Authors: Yongshuai Zhang
Published: June 2024

Compared with traditional internal fixation devices, bone adhesives have significant advantages in the treatment of bone injuries, such as improving the fixation of comminuted fractures and maintaining the spatial position of scattered bone fragments. By analyzing different kinds of bone adhesives, mechanical strength, osseointegration, bone conductivity, bone induction, application and two different research directions, this paper puts forward the concepts of "liquid stent" and "liquid plate” and discusses the research progress and future development trend of bone adhesives, in order to provide reference for clinical treatment and repair of fracture technology.
Symptoms and Prevention Measures of Erysipelas Disease in Pigs
Authors: Caihong Hao
Published: June 2024

Pig erysipelas is caused by pig erysipelas a kind of acute febrile zoonotic disease, disease quickly, pigs die within 2-4 days, route of infection with endogenous, digestive tract infection, blood sucking insects feeding, skin contact, the disease if not timely control, will threaten the healthy growth of pigs, seriously affect the farmers' actual income. Transmission and spread of erysipelas in pigs. The disease is clinically characterized by high fever and acute death, and is characterized by sow abortion, which can cause infection of pigs and all kinds of animals. After pigs infected with bacteria, various diseases can occur, and then cause pig erysipelas. To the public, the pig industry caused huge economic losses. A comprehensive understanding of erysipelas is important for the prevention and treatment of the disease. The source, route of transmission, prevalence and comprehensive control of the disease are summarized. Pig erysipelas strategy, designed to provide evidence.
Predictive Nursing Experience of a Case of Pulmonary Tuberculosis Complicated with Jejunostomy and Ileostomy
Authors: Feng Haixia , Liu Xiaoli
Published: June 2024

This study aims to improve patients' symptoms and enhance their quality of life through comprehensive pathological and physiological analysis, combined with integrated healthcare interventions. The research involves the observation of various nursing interventions tailored to different pathological and physiological conditions. During the patients' hospitalization, meticulous nursing measures, including the management of ileostomy and jejunostomy, enteral nutrition application, compliance with tuberculosis treatment, and psychological care, led to a significant improvement in tuberculosis symptoms, radiological absorption of pulmonary lesions, and a marked enhancement of nutritional status. This study underscores the importance of comprehensive pathological and physiological analysis and the use of proactive healthcare interventions when dealing with patients suffering from various chronic illnesses. This holistic approach to healthcare has a positive impact on the prevention and control of chronic diseases such as tuberculosis and can serve as a valuable reference for similar cases, providing substantial support in improving patients' quality of life.
Study on Risk Factors and TCM Syndrome Distribution of T2DM Accompanied by MAFLD
Authors: Yan Jia , Li Fenping
Published: June 2024

This paper mainly studies the risk factors of type 2 diabetes combined with metabolic fatty liver disease and the distribution of TCM syndrome types by incorporating case comparison diagnosis and observation, in order to identify the main inducements of type 2 diabetes combined with metabolic fatty liver disease, and to provide guidance for clinical diagnosis and treatment.
The Relationship between University Students' Perceived Social Support and Their Meaning of Life under a Regular Situation of Epidemic Prevention and Control: The Mediating Role of Resilience
Authors: Li Xiaoli , Bian Xiaohua , Luo Wenmiao
Published: June 2024

The perceptive social support scale, the meaning of life scale and the psychological resilience scale were used to measure 414 university students in Henan Province. To investigate the influence of perceived social support on the meaning of life and the role of resilience in the relationship between them in the context of normal epidemic prevention and control among university students. Result display： (1) University students' perceived social support (63.22±15.00), resilience (3.59±0.75) and meaning of life (49.39±10.71) were generally above moderate level. (2) University students' perceived social support and resilience were significantly positively correlated (r=0.74, p<0.01), and perceived social support significantly and positively predicted resilience (β=0.771, p<0.001); meaning of life and resilience were significantly and positively correlated (r=0.76, p<0.01), and resilience significantly and positively predicted meaning of life (β=0.49, p< 0.001); perceived social support and meaning of life were significantly positively correlated (r=0.75, p<0.001), and perceived social support significantly and positively predicted meaning of life (β=0.495, p<0.01). (3) Resilience partially mediated the relationship between perceived social support and meaning of life among university students (β=0.391, p<0.001).
Application of Percutaneous Vertebroplasty Assisted by 3D Printed Positioning Guide Plate in the Treatment of Senile Osteoporotic Vertebral Compression Fractures
Authors: Zhang Wei , Zhu Zhehui , Liu Shizhang , Liu Huitong
Published: June 2024

This paper aims to investigate the feasibility, treatment points, and clinical effects of percutaneous vertebroplasty (PVP) assisted by 3D printed individual positioning guides for senile osteoporotic vertebral compression fractures (OVCF). Percutaneous vertebroplasty assisted by 3D printed individual positioning guides were used to treat 30 diseased vertebrae of 30 elderly female patients with compression fractures. The NRS and ODI score were compared before the operation, 1 day after the operation, 1 week after the operation, 1 month and 3 months after the operation. All patients successfully completed the operation, and followed up for 3 months. Through statistical analysis of patients’ NRS scores and ODI scores, the difference was significantly improved 1 day before and after surgery (P <0.001), and there was no statistical difference between 1 and 3 months after surgery (P>0.05). The improved Macnab score was excellent and good rate Reaching 97%. Preoperative 3D printed individual positioning guide assisted positioning help to reduce the radiation exposures, surgical risks, shorten the surgical time, and obtain good curative effects, high safety, and clinical application value.
Research on Intelligent Elderly Care Path Based on Data Information
Authors: Liang Shuang , Xu Xiaoyan , Zhou Dingjie , Jiang Zhixin , Zhuang Yongmei , He Qin , Yang Yuehua
Published: June 2024

Our country is moving into a deeper population ageing. With the deepening of our aging population and the development of modern smart technologies, the Internet has reshaped the way older people interact and live, it has become an important engine to optimize the development and innovation of the old-age service model. Based on the analysis of the existing problems in the current intelligent pension model, this paper takes the Community Intelligent project of Nanjing Positive Health Eldercare Service Center as an example to show how to realize the intellectualization and informationization of endowment service in community. Smart pension information construction path includes establishing a community elderly personal information database, realization of intelligent processing of multichannel massive data, and establishing real-time monitoring with the aid of artificial intelligence. We should make use of modern communication technology and information technology to innovate the mode of old-age service and promote the organic integration of internet and old age service industry, so as to realize the digitalization, informationization and technicalization of old-age service.
Structural Relationship between Motivation, Adherence, Satisfaction and Loyalty of Adolescent Sports Behavior Participants in China
Authors: Zhang Qingyi , Yang Qiwei
Published: June 2024

The main purpose of this study is to examine the structural relationship between motivation, adherence, satisfaction, and loyalty among participants in sports behavior among Chinese university students. The research method focuses on five universities in Hunan Province. This study collected 750 questionnaires. This study used SPSS 24 and AMOS software for analysis. The research results indicate that the motivation of sports behavior among college students has a significant positive impact on satisfaction, adherence, and loyalty. Adherence has a significant positive impact on satisfaction and loyalty. Satisfaction has a significant positive impact on loyalty. Finally, adherence and satisfaction can partially mediate the relationship between motivation and loyalty. This study verifies the structural relationship between motivation, adherence, satisfaction, and loyalty in sports behavior among Chinese university students. Motivation is the most important factor affecting participant loyalty, while adherence has the least impact on participant satisfaction and loyalty. Therefore, university sports management personnel should pay more attention to the enthusiasm of participants in order to attract more students to participate in sports activities and maintain their interests.
Prediction of Risk of Airborne Transmitted Diseases based on the Wells-Riley Equation: Applying in the Metro Hall Environments
Authors: Liu Xiaoyang , Zhang Yan , Guan Lin
Published: June 2024

The recent years have witnessed the increasing attention aroused by airborne transmitted diseases. Increasing evidence has shown that indoor air quality has a significant impact on people’s health, as well as the transmission of infectious diseases. As a result, more and more experts pay attention to the topic of airborne transmitted diseases. To improve the understanding of the risk of airborne transmitted diseases, in this paper we have reviewed the previous risk prediction model and tried to develop an improved model. The model, which has taken the size of space, the ventilation of the space, and the time of co-location, are also applied in a realistic model based on the system dynamic method, simulating the condition of passengers’ going into the station hall. According to the model and simulation outcoming, expanding the volume of room and ventilation can reduce the risk of infection. However, the co-location has a positive correlation with the infectious risk.
A Prototype of Decentralized Applications (DApps) Population Management System Based on Blockchain and Smart Contract
Authors: Saian Septovan Dwi Suputra , Sembiring Irwan , Manongga Daniel H. F.
Published: June 2024

The Indonesian population reached 270,20 million in 2020. Each resident is equipped with various secret identities. The COVID-19 pandemic has made all activities use technology as a basis, causing residents' identities to be stored digitally. Some applications that keep these identities experience data leaks. However, with the advent of Web3 and its emphasis on decentralization through blockchain, a new era of secure data management is possible. Blockchain, with its inherent security features, ensures that data stored is secure, difficult to damage or lose due to mutual consensus. Every transaction is recorded, making it easy to carry out the audit process. Therefore, this research will design and implement prototype dApps for secure population management, leveraging the superior security of blockchain technology. The initial stage of research is to conduct a literature study. Furthermore, it is to create designs such as system, infrastructure, and activity diagrams. Then do the development of the dApps prototype. The last is testing using OWASP ZAP and cost analysis. A dApps prototype was implemented on a blockchain. Every transaction is recorded and publicly viewable through the Etherscan platform. Other data stored on a blockchain have gone through an AES-256 encryption process with the data owner's account key so that the owner can only see the data. The results of the tests performed show that there is no high-level warning. The cost analysis results show that the most used costs are when deploying smart contracts and making new data. For further development, it is implementing permissionless blockchain and multi-accounts.
Understanding User Engagement Strategies for Podcasts Videos on Youtube in Indonesia: A Study on Content Creation
Authors: Kurniawan Yohannes , Halim Enrico , Jennifer Elisa , Pribadi Fazha Aqsa , Bhutkar Ganesh , Anwar Norizan
Published: June 2024

COVID-19 has transformed human life by utilizing technology to obtain information. Based on Katadata.com, Indonesia ranks second in the world's highest number of podcast listeners in the third quarter of 2021, accounting for 35.6% of the total internet users. Based on YouTube user statistics from Global Media Insight, Indonesia also ranks fourth globally for the highest number of YouTube users in 2023, totaling 139 million. Thus, this study aims to examine the factors that can influence the strategy to attract the right audience in building podcast content and provide recommendations for appropriate user engagement by comparing the genres of current issues and business & finance podcasts on YouTube Indonesia. The research method used is descriptive analytics, using the open-source Netlytics tool to analyze text and automatically summarize and visualize public online conversations on YouTube. The results of this study indicate that current issue genres are more prevalent in Indonesian society, with one of the most influential factors being the topic and guests to currently viral podcasts. This study also analyzes other factors that influence user engagement. Therefore, the findings of this research can be utilized as an opportunity for companies/institutions to enhance their branding/promotion through YouTube video podcasts. This research can also serve as a reference for other podcast content creators in building and improving user engagement on their YouTube channels to attract more interest from Indonesian society.
A Robust License Plate Detection System Using Smart Device
Authors: Bin Mohamad Azhar Muhammad Darwish , Goh Kah Ong Michael , Check Yee Law , Connie Tee
Published: June 2024

The license plate recognition (LPR) system is widely employed in various applications. However, most research studies have used a fixed camera rather than a moving one. This is because the location of the vehicle plate is nearly static and easily estimated, making the use of a static camera simple for locating and detecting the scanned license plate. Images obtained with a moving camera are highly complex due to frequent background changes. Additionally, a challenge with car plates in Malaysia is their non-standardized nature. Car owners are permitted to use any font type for their license plate number, rendering existing license plate recognition systems from other countries incapable of effectively detecting license plates on Malaysian car plates. A traditional LPR system typically requires a high-quality camera and a powerful computer for costly and bulky processing. Nowadays, many smartphones come equipped with powerful processors and cameras. Android smartphones include various libraries for modifying hardware configurations such as the camera. This paper presents a robust method for detecting Malaysia's license plate number using a convolutional neural network (CNN). The CNN model from the pre-training process is imported to the Android device and tested in real-time in an on-road driving environment, resulting in an average recognition rate of 89.37%. A comprehensive Character Recognition Analysis is also presented to demonstrate the accuracy of each character. However, there is still room for improvement in recognizing the character Q.
An Experimental Study on Deep Learning Technique Implemented on Low Specification OpenMV Cam H7 Device
Authors: Asmara Rosa Andrie , Rosiani Ulla Delfana , Mentari Mustika , Syulistyo Arie Rachmad , Shoumi Milyun Ni'ma , Astiningrum Mungki
Published: June 2024

This research aims to identify and recognize the OpenMV Camera H7. In this research, all tests were carried out using Deep Machine Learning and applied to several functions, including Face Recognition, Facial Expression Recognition, Detection and Calculation of the Number of Objects, and Object Depth Estimation. Face Expression Recognition was used in the Convolutional Neural Network to recognize five facial expressions: angry, happy, neutral, sad, and surprised. This allowed the use of a primary dataset with a 48MP resolution camera. Some scenarios are prepared to meet environment variability in the implementation, such as indoor and outdoor environments, with different lighting and distance. Most pre-trained models in each identification or recognition used mobileNetV2 since this model allows low computation cost and matches with low hardware specifications. The object detection and counting module compared two methods: the conventional Haar Cascade and the Deep Learning MobileNetV2 model. The training and validation process is not recommended to be carried out on OpenMV devices but on computers with high specifications. This research was trained and validated using selected primary and secondary data, with 1500 image data. The computing time required is around 5 minutes for ten epochs. On average, recognition results on OpenMV devices take around 0.3 - 2 seconds for each frame. The accuracy of the recognition results varies depending on the pre-trained model and the dataset used, but overall, the accuracy levels achieved tend to be very high, exceeding 96.6%.
Performance Evaluation on Resolution Time Prediction Using Machine Learning Techniques
Authors: Tong-Ern Tong , Su-Cheng Haw , Kok-Why Ng , Al-Tarawneh Mutaz , Gee-Kok Tong
Published: June 2024

The quality of customer service emphasizes support tickets. An excellent support ticket system qualifies businesses to provide clients with the finest level of customer support. This enables enterprises to guarantee the consistency of quality customer service delivered successfully, ensuring all clients have a good experience regardless of the nature of their inquiry or issue. To further achieve a higher efficiency of resource allocation, this is when the prediction of ticket resolution time comes into place. The advancing technologies, including artificial intelligence (AI) and machine learning (ML), can perform predictions on the duration required to tackle specific problems based on past similar data. ML enables the possibility of automatically classifying tickets, making it possible to anticipate the time resolution for cases. This paper explores various ML techniques widely applied in the Resolution Time Prediction system and investigates the performance of three selected ML techniques via the benchmarking dataset obtained from the UCI Machine Learning Repository. Implementing selected techniques will involve creating a graphical user interface and data visualization to provide insight for data analysis. The best technique will be concluded after performing the ML technique evaluation. The evaluation metrics involved in this step include Root Mean Square Error (RMSE) and Root Mean Absolute Error (MAE). The experimental evaluation shows that the best performance among the selected ML techniques is Random Forest (RF).
Machine Learning-Driven Stroke Prediction Using Independent Dataset
Authors: Zahari Fatin Natasha Binti , Ramakrishnan Kannan
Published: June 2024

The incidence of stroke cases has witnessed a rapid global rise, affecting not only the elderly but also individuals across all age groups. Accurate prediction of stroke occurrence demands the utilization of extensive data pre-processing techniques. Moreover, the automation of early stroke forecasting is crucial to prevent its onset at the initial stage. In this study, stroke prediction models are evaluated to estimate the likelihood of stroke based on various symptoms such as age, gender, pre-existing medical conditions, and social variables. The machine learning techniques employed include Linear Support Vector Classifier, Extreme Gradient Boosting Classifier, Multilayer Perceptron, Adaptive Boosting Classifier, Bootstrap Aggregating Classifier, and Light Gradient-Boosting Machine. The purpose of this paper is to optimize the hyperparameters of machine learning approaches in developing stroke prediction models. The goal was achieved through a comprehensive comparison of three different sampling techniques for handling imbalanced datasets and evaluating their performance by using various metrics. The most effective model is identified, which is the Adaptive Boosting Classifier utilizing the Tomek Links, with a cross-dataset accuracy of 99% which demonstrated a reliable performance and generalization as evidenced by high cross-validation scores and accuracy on an independent dataset. The next stage of this endeavor entails looking into multiple ways to forecast the development of new dangerous diseases such as breast cancer and skin disorders. In the long run, the aim of subsequent work is to build a powerful toolset that is obtainable to all medical practitioners, allowing for the pre-emptive diagnosis of all potentially hazardous illnesses.
Identity Politics in Ayad's Homeland Elegies: A Diasporic Study
Authors:   Government Graduate College for Women, Azeem Madeeha , Kazmi Syeda Mariam Fatima ,   Government Graduate College for Women, Mankash Muhammad Akram ,   Hazrat Shahjahangir Academy
Published: June 2024

Introduction: "Homeland Elegies" by Ayad Akhtar (2020) is a deeply personal exploration of identity and belonging in a fractured nation. Blending fact and fiction, this work narrates a story of longing and dispossession in the post-9/11 world. It intertwines family drama, social commentary, and picaresque elements, focusing on the relationship between a father, a son, and their shared homeland. Methodology: Akhtar employs a new narrative voice to depict a country ravaged by financial ruin and compromised ideals. The narrative highlights the fear experienced by immigrants and critiques a society led by a TV personality as president. Postcolonial diaspora theory and hybridity serve as significant theoretical tools to construct the conceptual framework. Results/Findings: The novel reveals how unhealed wounds from 9/11 continue to impact the world, portraying diverse settings from American heartland towns to European suites and Afghan guerilla hideouts.
A Comprehensive Review: Personalized Medicine for Rare Disease Cancer Treatment
Authors:   Professor, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India, Rajput Dharmendra Singh , Gupta Naveen ,   Professor and Dean, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India, Singh Shubham ,   Ph.D. Research Scholar, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India, Sharma Bhawna ,   Ph.D. Research Scholar, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India
Published: June 2024

In the United States, cancer is one of the major causes of death. In 2010 alone, over 1.5 million fresh instances were recorded and over 0.5 billion died. After the completion of human genome sequence, significant progress in characterizing human epigenomes, proteomes and metabolomes has been made; a stronger knowledge of pharmacogenomics has been established and the capacity for individual personalization of health care has grown considerably. Personalized medicine has recently been primarily used to systematically select or optimize the prevention and therapeutic care of the patient through genetic or other data about the particular patient. Molecular profiling in healthy samples and cancer patients can allow for more personalized medications than is currently available. Patient protein, genetic and metabolic information may be used for adapting medical attention to the needs of that individual. The development of complementary diagnostics is a key attribute of this medicinal model. Molecular tests measuring the level of proteins, genes or specific mutations are used to provide a specific treatment for a particular individual by stratify the status of a disease, selecting the right drugs and tailoring dosages to the particular needs of the patient. These methods are also available for assessing risk factors for a patient for a number of conditions and for tailoring individual preventive therapies. Recent advances of personalized cancer medicine, challenges and futures perspectives are discussed.
THE ROLE OF PROBLEMS IN MATHEMATICS TEACHING
Authors: Nəsirov Novruz , Abduləzova Aynurə
Published: June 2024

In the article, the role and importance of teaching mathematics proof issues, their solution in mathematics education is investigated. In the article, both algebraic and geometry proof issues were considered. Also, several methods and methods are mentioned and explained for teaching the mentioned proof issues to the students easily. at the same time, these things are explained more clearly and algorithmically on the issues and examples within the article.
THE ESSENCE OF THE DEVELOPMENT OF LOGICAL THINKING AND THE DEGREE OF LEARNING IN THE FORMATİON OF VALEOLOGICAL KNOWLEDGE ABOUT A PERSON AND HIS HEALTH IN THE SUBJECT OF BIOLOGY AT THE FULL SECONDARY EDUCATION LEVEL
Authors: Sultanov Rauf , Allahverdiyeva Leyla
Published: June 2024

Valueology is not limited to knowledge about ways to protect health. Knowledge only guides students in the world around them, but does not determine their behavior. In order for students to be able to use the acquired knowledge in everyday life and follow the principles of a healthy lifestyle, it is necessary to form their beliefs and corresponding valeological skills. In this regard, it is necessary to teach students self-observation, analyze their actions and lifestyle from the point of view of their impact on health, assess the functional state of their body and individual organ systems, and carry out health-improving activities. That is why the study is relevant.
METHODOLOGY OF TEACHING AESTHETIC EDUCATION ISSUES IN THE TEACHING OF ZOOLOGY
Authors: Səfərova Elnurə , Məmmədova Günel
Published: June 2024

Educational works related to it have great possibilities. Being a wonderful educator of the growing generation, nature has a profound effect on the development of its aesthetic feelings. Excursions, extracurricular, extracurricular activities traditionally create ample opportunities for aesthetic educational work. Lessons taught in accordance with modern requirements create a wide opportunity for the formation of aesthetic culture. At other stages of the lesson, students can be instilled with aesthetic taste while using the methods and techniques of active learning. For example, handouts and visual aids given to them can be designed with a certain taste, according to the student's age level (more colorful in lower grades).
ORGANIZATION OF WORK ON PREPARATION FOR COMPOSITION TRAINING IN PRİMARY SCHOOL
Authors: Gasimova Maya
Published: June 2024

The article examines the ways of preparing younger students to write compositions. For this reason, first of all, the importance to organize work on the systematic analysis of the structural and content features of the reading texts in the textbook is emphasized. It is noted that tasks aimed at understanding the concepts, such as ―text‖, ―idea of text‖, ―parts of text―, ―title‖, ―paragraph‖, ―plan‖, etc. introduce students to the structural features of the text, its composition and help to develop text construction skills.
THE ROLE OF INTER-SUBJECT INTEGRATION IN THE EDUCATIONAL PROCESS
Authors: Javadova Sevil
Published: June 2024

The article explores the principle of interdisciplinary communication. The role of integration in creating a holistic and indivisible image of the world is clarified in the minds of students. General concepts, categories and approaches related to understanding are classified. It is noted that integration contributes to the formation of different types of knowledge. It is emphasized that teaching similar and complementary topics in different subjects at the same level will give students more comprehensive knowledge.
FORMATION OF AN ACTIVE LIFE POSITION OF PUPİLS: PREPARATION OF STUDENTS FOR THIS ACTIVITY IN THE TEACHİNG PROCESS
Authors: Mammadli Leyla
Published: June 2024

The educational process has great potential in the formation and development of the younger generation. In this sense, the educational process plays an important role in nurturing an active life position in senior pupils. Naturally, the teacher has a great responsibility for instilling in pupils this important moral quality. This article talks about the role of students in this area. However, students can be effective pupil educators if they are prepared for these activities in higher education. The article discusses the possibilities of higher education disciplines. In the course of teaching pedagogy, psychology and other disciplines, students acquire the necessary knowledge and skills to develop an active life position in pupils.
The correlation between Rare Earth Elements and tin in granite, quartz vein, and weathered granite samples, in South Bangka, Bangka Belitung Islands, Indonesia
Authors:   Faculty of Geological Engineering, Padjadjaran University, Dipati Ukur Street No. 35, Bandung 40132, West Java, Indonesia, Armin Tampubolon Armin Tampubolon , Syafri Ildrem ,   Faculty of Geological Engineering, Padjadjaran University, Dipati Ukur Street No. 35, Bandung 40132, West Java, Indonesia, Rosana Mega Fatimah ,   Faculty of Geological Engineering, Padjadjaran University, Dipati Ukur Street No. 35, Bandung 40132, West Java, Indonesia, Yuningsih Euis Tintin ,   Faculty of Geological Engineering, Padjadjaran University, Dipati Ukur Street No. 35, Bandung 40132, West Java, Indonesia
Published: June 2024

The presence of Rare Earth Elements (REEs) is often correlated with tin (Sn), particularly at placer deposits in the Bangka Belitung Islands. However, there is limited information on the correlation between Sn and REEs. Therefore, this study aimed to investigate the correlation between REEs and Sn using data analysis of Sn-W, REEs, Y, Th, and U in granite, quartz veins, and weathered granite samples from South Bangka. The statistical analysis carried out using the Pearson correlation coefficient and multivariate processing showed that Sn-REEs have a weakly negative correlation. The examination of genetic aspects through chemical analysis, mineralogy, and Scanning Electron Microscope (SEM) data, showed that Sn and REE originated from the same magmatic fluids but different depositional phases due to magmatic-hydrothermal processes. The results show that REEs were formed during the early magmatic crystallization as mineral and stannite (Cu-Sn) in granite, while Sn was enriched as cassiterite in the deposition of late-stage hydrothermal fluid in parental granite. Moreover, the variation in deposition stage and temperature during the formation process is depicted in statistically uncorrelated values for Sn and REEs.
The evolution of theater placement in the urban space of the city using the example of Moscow from the late 17th to the early 20th century.
Authors: Karpenko Elena Aleksandrovna
Published: June 2024

The current trend of urban sprawl in major cities is creating conditions for territorial injustice in the distribution of cultural assets. One of the key problems in the modern theater urban development of Moscow is associated with the uneven distribution of theater complexes between the city core and the periphery. The object of the study is the theater as an element of the cultural environment of urban space. The subject of the study is the spatial features of theater placement in the urban structure and its influence on shaping the city's cultural landscape, as well as the spatial evolution of the city itself. The research objective is to establish urban planning correlations between theater location in the city structure and the spatial development of the city through the evolution of theater placement in Moscow from the late 17th to the early 20th century. The research methodology during the historical phase is based on studying bibliographic sources and cartographic analysis. Examination of contemporary issues involved collecting, updating, and visualizing geospatial data on the present urban placement of theaters. The scientific novelty of the study lies in utilizing a spatial approach to examining Moscow's urban cultural environment retrospectively from the late 17th to the early 20th century. This spatial approach enables identifying the correlation between sociocultural phenomena and the structure of Moscow's urban space during this period. The research identified characteristic temporal stages in the evolution of theater placement in Moscow from the late 17th to the early 20th century, coupled with the city's immediate spatial development. The research results can serve as a starting point for developing a comprehensive urban strategy aimed at enhancing the quality of the city's cultural environment through the strategic placement of theater complexes.
Distinct effects of phyllosphere and rhizosphere microbes on invader Ageratina adenophora during its early life stages
Authors: Zeng Zhao-Ying , Huang Jun-Rong , Liu Zi-Qing , Yang Ai-Ling , Li Yu-Xuan , Wang Yong-Lan , Zhang Han-Bo
Published: June 2024

Microbes strongly affect invasive plant growth. However, how the phyllosphere and rhizosphere soil microbes distinctively affect seedling mortality and the growth of invasive plants across ontogeny under varying soil nutrient levels remains unclear. In this study, we used the invader
Ageratina adenophora
to evaluate these effects in plant growth chambers. We found that leaf litter harboured more potential pathogens and thus had more adverse effects on seed germination and seedling survival than soil inoculation. Microbial inoculation at different growth stages altered the microbial community and microbial functions of seedlings, and earlier inoculation had a more adverse effect on seedling survival and growth. In most cases, the soil nutrient level did not affect microbe-mediated seedling growth and the relative abundance of the microbial community and functions involved in seedling growth. The effects of some microbial genera on seedling survival are distinct from those on growth. Moreover, the
A. adenophora
seedling-killing effects of fungal strains isolated from dead seedlings by nonsterile leaf inoculation litter exhibited significant phylogenetic signals, by which strains of
Allophoma
and
Alternaria
generally caused high seedling mortality. Our study stresses the essential role of
A. adenophora
litter microbes in population establishment by regulating seedling density and growth.
Single-cell profiling reveals the intratumor heterogeneity and immunosuppressive microenvironment in cervical adenocarcinoma
Authors: Peng Yang , Li Yilin , Ao Jixing , Shen Jia , He Xiang , Tang Dihong , Chu Chaonan , Liu Congrong , Weng Liang
Published: June 2024

Cervical adenocarcinoma (ADC) is more aggressive compared to other types of cervical cancer (CC), such as squamous cell carcinoma (SCC). The tumor immune microenvironment (TIME) and tumor heterogeneity are recognized as pivotal factors in cancer progression and therapy. However, the disparities in TIME and heterogeneity between ADC and SCC are poorly understood.We performed single-cell RNA sequencing on 11 samples of ADC tumor tissues, with other 4 SCC samples served as controls. The immunochemistry and multiplexed immunofluorescence were conducted to validate our findings.Compared to SCC, ADC exhibited unique enrichments in several sub-clusters of epithelial cells with elevated stemness and hyper-malignant features, including the Epi_10_CYSTM1 cluster. ADC displayed a highly immunosuppressive environment characterized by the enrichment of regulatory T cells (Tregs) and tumor-promoting neutrophils. The Epi_10_CYSTM1 cluster recruits Tregs via ALCAM-CD6 signaling, while Tregs reciprocally induce stemness in the Epi_10_CYSTM1 cluster through TGFβ signaling. Importantly, our study revealed that the Epi_10_CYSTM1 cluster could serve as a valuable predictor of lymph node metastasis for CC patients.This study highlights the significance of ADC-specific cell clusters in establishing a highly immunosuppressive microenvironment, ultimately contributing to the heightened aggressiveness and poorer prognosis of ADC compared to SCC.
Investigating the Impact of TB or COVID-19 Infections on a Population Suffering from TB/COVID-19 Coinfection
Authors: Githinji Mary Ng’endo , Chepkwony Isaac
Published: June 2024

The discovery that the spread of tuberculosis reduced significantly in the last two years has been associated with the preventive measures placed to combat the spread of COVID-19. This shows a string correlation between the spread of COVID-19 and tuberculosis in any population. It is worth noting that tuberculosis and COVID-19 are among the leading most deadly diseases in the world today. The correlation in their spread also leaves us to believe that the spread of one can enhance the spread of the other. Hence, we propose the situation where a population is co-infected with the two diseases. The mathematical model is formulated using conservative laws and the resulting model analysed. The stability of the co-infection is analysed and the non-negativity conditions for the solution is established. It is found that tuberculosis sub-population reaches the highest capacity when the recruitment into the COVID-19 subpopulation is the lowest while the COVID-19 sub-population is attained when the rate of recruitment into the COVID-19 subpopulation is the highest.
Composite desirability function‐based empirical modeling for packed tower design in physical ammonia absorption
Authors: Yetilmezsoy Kaan
Published: September 2011

This paper describes two new empiricial models based on the composite desirability function methodology for the prediction of packed column diameter and packing height in solving problems of physical ammonia absorption. The computational analysis including a total of 131 absorption scenarios were conducted for six fundamental operating parameters such as inlet gas flow rate (500–5000 m3/h), solute concentration in the inlet gas (5–10%), desired removal efficiency (87–98%), operating temperature (10–60 °C), percentage of the minimal liquid‐to‐gas flow rates ratio (24–52%) and percent of flooding velocity (30–80%). The ceramic Raschig rings were selected as one of the most common packing types for the present analysis. The column diameter to packing size ratio were considered to be greater than 30 for a total of 500 packing sizes (0.01–5 inches in diameter) included in the numerical cycle. New non‐linear regressions as the functions of packing factor, packing size and various transfer unit constants (α, β, γ, η and ϕ) were implemented in the prediction scheme of the proposed empirical models. The performance of the models was evaluated with various descriptive statistical indicators. The testing results showed that all predictions were proven to be satisfactory with very high determination coefficients of about R2 = 0.997 and R2 = 0.963 for the packed column diameter and required packing height, respectively. © 2011 Curtin University of Technology and John Wiley & Sons, Ltd.
Psychic Impact and Outcome of the Chinese Cultural Revolution (1966–1976). A Psychoanalytic Research Project at the Sigmund‐Freud‐Institut, Frankfurt (Germany)1
Authors: Plänkers Tomas
Published: September 2011

The paper lines out a research project done as a cooperation between Sigmund‐Freud‐Institut (Frankfurt, Germany) and 5 Chinese professors of different universities. It focusses at traumatic experiences of witnesses of the Chinese Cultural Revolution and the transgenerational transfer to one of their children. Method and results of this qualitative research are outlined. Copyright © 2011 John Wiley & Sons, Ltd.
Lipopolysaccharide‐Induced In Vivo Activation of Follicular Dendritic Cells is Tumor Necrosis Factor Receptor‐1 Independent
Authors: Milićević Novica M. , Milićević Živana , Westermann Jűrgen
Published: September 2011

It is well recognized that tumor necrosis factor receptor‐1 (TNFR1) signaling pathway (with lymphotoxin‐β receptor) is of critical importance for the development, activation, and clustering of follicular dendritic cells (FDCs) within the lymphoid follicles. However, further information on the molecular control of these processes is very sparse. Here, we show that intravenous application of lipopolysaccharide induces the clear and prominent morphological signs of FDC development and activation in vivo, which is independent of TNFR1 pathway. Anat Rec, 2012. © 2011 Wiley Periodicals, Inc.
Development of responder definitions for fibromyalgia clinical trials
Authors: Arnold Lesley M. , Williams David A. , Hudson James I. , Martin Susan A. , Clauw Daniel J. , Crofford Leslie J. , Wang Fujun , Emir Birol , Lai Chinglin , Zablocki Rong , Mease Philip J.
Published: September 2011

Objective

To develop responder definitions for fibromyalgia (FM) clinical trials using key symptom and function domains.

Methods

Twenty‐four candidate responder definitions were developed by expert consensus and were evaluated in 12 randomized, placebo‐controlled trials of 4 medications for the treatment of FM. For each definition, the treatment effects of the medication compared with placebo were analyzed using Cochran‐Mantel‐Haenszel tests or chi‐square tests. A meta‐analysis of the pooled results for the 4 medications established risk ratios to determine the definitions that best favored medication over placebo.

Results

Two definitions performed best in the analyses. Both definitions included ≥30% reduction in pain and ≥10% improvement in physical function. The definitions differed in that one (≥30% improvement in FM [FM30] short version) included ≥30% improvement in sleep or fatigue, and the other (FM30 long version) required ≥30% improvement in 2 of the following symptoms: sleep, fatigue, depression, anxiety, or cognition. In the analysis of both versions, the response rate was ≥15% for each medication and was significantly greater compared with placebo. The risk ratio favoring drug over placebo in the pooled analysis for FM30 version 3 (short version) was 1.50 (95% confidence interval [95% CI] 1.24–1.82; P ≤ 0.0001); the risk ratio for FM30 version 6 (long version) was 1.60 (95% CI 1.31–1.96; P ≤ 0.00001).

Conclusion

Among the 24 responder definitions tested, 2 were identified as most sensitive in identifying response to treatment. The identification of responder definitions for FM clinical trials that include assessments of key symptom and function domains may improve the sensitivity of clinical trials to identify meaningful improvements, leading to improved management of FM.
Effect of HMGB1 silencing on cell proliferation, invasion and apoptosis of MGC‐803 gastric cancer cells
Authors: Song Bao , Song Wei‐guo , Li Zeng‐jun , Xu Zhong‐fa , Wang Xing‐wu , Wang Chuan‐xi , Liu Jie
Published: September 2011

High‐mobility group box 1 (HMGB1) is a multifunctional protein with intranuclear and extracellular functions. Although HMGB1 is overexpressed in approximately 85% of gastric cancers, the role of HMGB1 in gastric cancer biology remains unclear. In this study, we investigate the effect of downregulation of HMGB1 on the biological behavior of gastric cancer cells. MGC‐803 gastric cancer cells were transduced with HMGB1‐specific RNAi lentiviral vectors. Real‐time polymerase chain reaction and Western blot analysis of HMGB1 mRNA and protein, respectively, validated the silencing effects. HMGB1‐specific silencing significantly decreased cell proliferation. The impact on proliferation was observed at the cell cycle level—the number of cells in the G0/G1 phase increased, whereas that in S and G2/M phases decreased. Cell cycle changes were accompanied by decreases in cyclin D1 expression. Furthermore, HMGB1 silencing sensitized cells to apoptosis that was induced by oxaliplatin and mediated by the caspase‐3 pathway. Finally, silencing of HMGB1 expression significantly reduced cellular metastatic ability and MMP‐9 expression in MGC‐803 cells. In summary, HMGB1 not only plays an essential role in the proliferation and invasion of MGC‐803 cells but also represents a potential target for the therapeutic intervention of gastric cancer. Copyright © 2011 John Wiley & Sons, Ltd.
Mini‐STAR as bail‐out strategy for percutaneous coronary intervention of chronic total occlusion
Authors: Galassi Alfredo Ruggero , Tomasello Salvatore Davide , Costanzo Luca , Campisano Maria Barbara , Barrano Giombattista , Ueno Masafumi , Tello‐Montoliu Antonio , Tamburino Corrado
Published: September 2011

Background: Although the advancement of the equipment and the presence of innovative techniques, percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) continues to be affected by lower procedural success in comparison with non occluded vessel PCI. Objective: We describe a new technique for the treatment of coronary CTO which utilizes a new generation of polymeric wires. Methods and Result: From March 2009 to June 2010 different strategies were adopted as “bail out” after an initial attempt failed in 117 consecutive CTO lesions. Among these, conventional strategies (CS) such as parallel wire, sub‐intimal tracking and re‐entry (STAR), microchannel technique, intracoronary ultrasound guided revascularization and anchor balloon, were used in 75 cases (64.1%), while in the remaining a new technique, the “mini‐STAR,” was used (39.9%). Although no substantial differences were observed regarding the distribution of clinical features and angiographic lesions characteristics between the populations, mini‐STAR was able to achieve a higher rate of procedural success in comparison with other CS (97.6% vs. 52%, P < 0.001) with lower contrast agent use (442 ± 259 cm3 vs. 561 ± 243 cm3, P = 0.01) and shorter procedural and fluoroscopy times (122 ± 61 vs. 157 ± 74 min, P = 0.009 and 60 ± 31 min vs. 75 ± 38 min, P = 0.03, respectively). No differences were observed in term of peri‐procedural complications such as procedural myocardial infarction, coronary perforations, and contrast‐induced nephropathy between mini‐STAR and CS. Conclusion: The mini‐STAR technique is a promising strategy for the treatment of CTO lesions, achieving a high procedural success rate and low occurrence of procedural adverse events. © 2011 Wiley Periodicals, Inc