bluuebunny/crossref_metadata_2025 huggingface dataset:
Shoulder and arm pain: A “red herring” chief complaint in a smoker diagnosed with Pancoast-Tobías syndrome
Authors: Thompson Chadane , Daley Rebecca , Fullerton Sidni , Lambert-Johnson Shana-Kay , Krisstoff Johnson Donahue
Published: January 2024

Introduction: A Pancoast tumor is a rare apical lung cancer that can lead to a constellation of signs and symptoms known as Pancoast-Tobías syndrome, which involves ipsilateral shoulder and arm pain, Horner’s syndrome, and atrophy of the intrinsic hand muscles. As a Pancoast tumor progresses, it first invades the brachial plexus and causes unrelenting shoulder and arm pain in the C8-T2 nerve distributions. However, when evaluating this presenting symptom, it is often considered benign, especially in aging patients. Consequently, Pancoast-Tobías syndrome is easily misdiagnosed or delayed in diagnosis, resulting in poor prognosis, particularly for patients with advanced disease.

Case Report: We present the case of an elderly Afro-Caribbean woman with a 24-pack-year smoking history who presented with unrelenting pain to the right shoulder and arm for two months. During that time, she visited multiple family physicians. Onset of pain coincided with a wasp sting that was complicated by a large local reaction. Despite clinical resolution of the inflammatory reaction, the pain persisted even with multi-modal oral analgesics. Detailed physical examination later revealed ipsilateral atrophy of the intrinsic hand muscles and focal chest findings concerning for an underlying consolidative lung process. This prompted diagnostic chest imaging, which identified a right-sided Pancoast tumor aggressively invading adjacent structures. She soon developed Horner’s syndrome, resulting in clinicoradiologic confirmation of Pancoast-Tobías syndrome.

Conclusion: It is important to consider Pancoast-Tobías syndrome as an important differential of unrelenting shoulder and arm pain, even in the absence of pulmonary symptoms, in patients with risk factors for lung cancer, such as chronic smokers.
الجذور التاريخية للرموز والشعارات على العملات المعدنية في دولة الاحتلال الإسرائيلي في السنوات (1960-1990م)
Authors: أحمد قاسم أبودية عدنان , يوسف وراسنة ليث
Published: January 2024

يهدف هذا البحث إلى دراسة الرموز والأشكال والشعارات الموجودة على عملة دولة الاحتلال الإسرائيلي المعدنية من (عام 1960م حتى عام 1990م)، حيث ادّعت دولة الاحتلال الإسرائيلي أن هذه الرموز هي موروث ثقافي وحضاري يهودي راسخ في المنطقة من العصرين اليوناني والروماني في فلسطين قبل أكثر من 2000عام، ومن خلال الدراسة تبين أن هذه الرموز تعود إلى ثقافات حضارات قد سيطرت على فلسطين، أو تأثرت بها فلسطين نتيجة قرب موقعها الجغرافي منها في مصر والعراق وبلاد الشام، وذلك قبل الوجود اليهودي في فلسطين. ونتيجة الإهمال في معرفة الجذور التاريخية والثقافية لهذه الرموز؛ قامت دولة الاحتلال بالسّطو عليها والادّعاء بأن هذه الرموز عبارة عن موروث ثقافي خاص بهم دون غيرهم، مستغلين بذلك التغافل أو إهمال البحث العلمي حول هذا الإرث الحضاري المكتسب من الحضارات المتعاقبة على فلسطين.

كلمات مفتاحية: حضارة، الرومان، فلسطين، نقود، اليونان.
Social Media as a Health-related Information Source about the Coronavirus among a Sample of Kuwaiti Youth
Authors: Yousif Al-Kandari Yagoub , Meshari Al-Sejari Maha
Published: January 2024

Due to the rapid dissemination of COVID-19, the public community has begun following social media as a main source of health-related information daily due to the grave, life-threatening implications on patients’ health. The current study aims to (1) detect socio-demographic differences, knowledge of COVID-19 symptoms and general health, and social media trust among youth; (2) determine the degree of using social media and traditional media among youth; and (3) examine the relationship between using social media to track COVID-19 news (symptoms, general health knowledge, and social media trust) and the degree of using social media. This is a cross-sectional study conducted among 663 Kuwaiti youth from all governorates in Kuwait. A self-administrated questionnaire consisted of demographic information and variables related to using social and traditional media to receive information about COVID-19. Findings detect that females and older youth participants show higher COVID-19 general health knowledge and more trust in social media. Males reported highest in following Satellite TV channels, and Instagram as sources of health information. The youngest age group reported a greater use of social media in general. The primary social media platform for following the news is Twitter, with Kuwait TV being the main source of traditional media.

Keywords: Social Media; Health Information; Coronavirus; Youth; Kuwait.
PELUANG BAGI MAHASISWA DALAM MEMANFAATKAN BISNIS ONLINE BERBASIS DIGITAL
Authors: Robiatul Adawiyah  , Erika Ananda Arum  , Aulia Ifah Lubanah  , Reza Fadhlika  , Elviyani Limbong  , Budiandru Budiandru
Published: January 2024

Penelitian ini menfokuskan pada peluang mahasiswa dalam memanfaatkan bisnis online berbasis digital. Penelitian ini menggunakan pendekatan Kualitatif, metode analisis deskriptif dengan menyebarkan kuesioner melalui Google Form untuk mendapatkan atau menggali pendapat dan informasi dari para responden, yaitu mahasiswa yang sedang berbisnis online. Hasil penelitian dari data yang di dapat melalui penyebaran kuesioner sebanyak 40 orang, dihasilkan bahwa bisnis online dengan media sosial ini ialah hal yang sangat menarik, sebab bisa menarik minat pelanggan lewat media sosial yang tidak harus bertransaksi secara langsung.. Penjual online hanya perlu bertransaksi secara online melalui platform media sosial mereka dan jika sudah terjadi kesepakatan maka barang yang ingin dijual bisa langsung dikirim ke daerah manapun menggunakan jasa kirim. Maka bisnis online sangat berpeluang bagi mahasiswa.
PENINGKATAN PELAKU BISNIS MAHASISWA MENGGUNAKAN INVESTASI PASAR MODAL SYARIAH
Authors: Husnul Hotimah  , Istika Ratna  , Duwi Mega Utami  , Jihan Fahira  , Budiandru Budiandru
Published: January 2024

The purpose of this study is to determine students' interest in utilizing Islamic capital market investments at this time. The focus of this research is sharia investment. A developing country that wants to carry out development must face one of the big challenges, namely the problem of unemployment. The problem of unemployment occurs because there is too much of the labor force compared to the existing jobs. To expand the income network, you have to start a business and capital. Capital is one of the considerations for students to start a business or develop a business. In conclusion, from the increase in student business people using Islamic capital market investments, it was stated that students or respondents had a high enough interest to start their businesses and one of them was by using Islamic capital market investments which were a solution to make it easier for students to get capital in an easy and lawful way.
Shaping the Future: Navigating Youth Ideology and Mental Health in a Digital Age
Authors: Zhu Aiqing
Published: January 2024

The rapid evolution of societal and cultural dynamics in the contemporary era presents both significant challenges and remarkable opportunities for the guidance of youth ideology and the promotion of mental health among young people. The pervasive influence of technology, especially social media, has transformed the way youth interact with the world and each other, impacting their ideological development and psychological well-being. This article examines the multifaceted challenges faced by today's youth, including the pressure of social media, the conflict between traditional values and modern norms, and the increased prevalence of mental health issues. Concurrently, it explores the opportunities that arise from these challenges—opportunities for leveraging technology for mental health support, the role of progressive education in shaping ideology, and the potential for family and community support structures to provide a nurturing environment. Through a review of diverse case studies, from the Finnish education system to digital platforms for mental health, this article provides insights into successful strategies and programs that address the complex needs of contemporary youth. These examples highlight the importance of a comprehensive and adaptive approach, emphasizing the need for collaboration across various sectors to foster a generation that is not only ideologically sound but also mentally resilient.
On the Training of Yangqin's Wheel Tone Technique
Authors: Wu Lin
Published: January 2024

The dulcimer is one of China's national musical instruments, and with the development of the times, it is loved by many people. As a representative playing technique, dulcimer wheel sound has its own artistic characteristics and three particularities: linear beauty, tension and other characteristics. representative playing technique, dulcimer wheel sound has its own artistic characteristics and three particularities: linear beauty, tension beauty and emotional beauty. This paper aims to analyze the use of dulcimer wheel tone in music, the problems existing in practice and the corresponding solutions, hoping to provide useful help for the development of dulcimer wheel sound. This paper aims to analyze the use of dulcimer wheel tone in music, the problems existing in practice and the corresponding solutions, hoping to provide useful help for dulcimer beginners to master wheel tone skills.
Research on the Material and Human Resource Allocation in Rural Schools Based on Social Capital Theory
Authors: Wu Yahui , Profesor Madya Dr. Norwaliza Binti Abdul Wahab
Published: January 2024

The allocation of resources in rural schools directly affects the quality of rural education development. However, rural schools have long faced inadequacies in both material and human resource allocation. Social capital, as an intangible resource, can play a significant role. This article first analyzes the current problems in the allocation of material and human resources in rural schools, highlighting issues of inadequacy and imbalance. Then, from the perspective of social capital, it analyzes its impact on resource allocation, which can not only expand resource supply channels but also enhance allocation efficiency and promote sharing. In addition, the article proposes strategies and recommendations for leveraging social capital to optimize resource allocation in rural schools. Finally, empirical research using typical cases and questionnaire surveys verifies the effectiveness of social capital in resource allocation. The study demonstrates that social capital can effectively improve resource allocation efficiency and play a crucial role in enhancing rural education development.
Research on the Construction Path of Innovative Teacher Team in Vocational Colleges
Authors: Qi Xiaoqi
Published: January 2024

With the development of society and technological progress, innovation has become an important force driving social progress and development. In higher education, the construction of innovative teacher teams is an important prerequisite and foundation for cultivating innovative talents. This article takes vocational colleges as the research object, explores the path of building an innovative teacher team, in order to provide reference and reference for the construction of an innovative teacher team in vocational colleges.
Research on Artificial Intelligence Empowering Teaching Reform in Higher Vocational Colleges
Authors: Qi Hongna
Published: January 2024

The development of artificial intelligence has triggered profound changes in social production relations and promoted changes in teaching methods and teaching scenarios in higher vocational colleges. At present, the intelligent teaching ability of teachers in higher vocational colleges needs to be improved, and the intelligent teaching equipment in higher vocational colleges needs to be strengthened. Higher vocational colleges should respond to the changes of the times, improve the level and ability of intelligent education in schools, and use human-machine collaboration to Innovate teaching models to promote the realization of the training goals of high-quality and high-skilled students in higher vocational colleges.
Study of Cultural Adaptation in the Context of Intercultural Communication
Authors: Hu Wenwen
Published: January 2024

With the acceleration of globalization, intercultural communication occurs more frequently, and the study of cultural adaptation becomes increasingly important. For this purpose, this study explores the main factors that affect cultural adaptation and expounds on the development history of cultural adaptation, as well as several common tools used to assess cultural adaptation. The findings of the study show that cultural adaptation is critical to the success of intercultural communication and personal characteristics, social support and environment have an influence on it. To improve cultural adaptation, it is necessary to take into account these factors and provide appropriate support and training in a bid to improve communication efficiency and promote understanding and respect across cultures, as well as to enhance international friendship and cooperation.
Study on the Emotional Impact of Network Broadcast on Young Audience
Authors: Dang Jing
Published: January 2024

As an interactive form of real-time transmission of audio and video content through an online platform, online live broadcast connects viewers and hosts in a virtual social space. This study explores the emotional impact and actionable nature of online live streaming on young viewers. The results show that audience participation in online live broadcasts is based on love, admiration and dependence on the host, and they gain emotional comfort and catharsis through watching and interacting. Anchors use a variety of strategies to create and guide the audience's emotional experience, and obtain the audience's emotional investment and rewards. Online live broadcast communities are formed from the gathering of common interests and emotions, providing viewers with emotional companionship and a sense of identity. Although online live broadcast communities can meet the emotional needs of lonely moments, they cannot completely replace the emotional experience in real life, and their emotional connections are limited. Therefore, it is recommended to further study and standardize online live broadcast behavior to better understand and utilize the online live broadcast community and provide a more meaningful emotional experience. This research has important reference value for theory and practice in related fields, and promotes the development and innovation in the field of online live broadcasting.
Review of the Influence of Urban-rural Differences at Home and Abroad
Authors: Yao Wenjia
Published: January 2024

This paper discusses the causes of the difference between urban and rural at home and abroad and the different, the system illustrates the different differences of the urban and rural education of the same and different, and the difference is how affect the rural economy and education level, at the same time further discusses the gap between urban and rural areas and realize a harmonious win-win concrete measures, such as aid, poverty alleviation and so on.
Analysis of Folk Beliefs and Customs in Tess of the D’Urbervilles
Authors: Sun Xin
Published: January 2024

As a typical countryside novel, Tess of the d’Urbervilles has a multitude of folklore elements that are intertwined in many plots and play an important role in shaping the characters, developing the storyline, rendering the country color, and setting the tragic atmosphere. Moreover, folklore culture originates from English real country life, and exploring folklore elements embodied in Tess of the d’Urbervilles is also a textual reconstruction of contemporary folklore culture. On this basis, this paper will explore and analyze the folk beliefs and customs which is regarded as the most significant components of folklore culture in Tess of the d'Urbervilles.
Eficiencia antiinflamatoria de dexametasona 1.0 mg/ml vs bromfenaco 0.9 mg/ml administrados previo a la facotrabeculectomía en pacientes con Glaucoma
Authors: Miranda Haro Estephanye Celina , Montero Vela Jesús , Chávez Gutiérrez Karla Gabriela , Romo García Efraín , Moreno Zazueta José Natividad , Lizárraga Verdugo Erik René , Contreras Gutiérrez José Alfredo , Cuén Díaz Héctor Melesio , Zataráin López José Ricardo , Beltrán Ontiveros Saúl Armando
Published: January 2024

El tratamiento del glaucoma se realiza mediante medicamentos tópicos y sistémicos, láser o cirugía. El control de la inflamación es fundamental para la curación después de la cirugía. Nuestro objetivo fue comparar la eficiencia del uso de dexametasona vs bromfenaco como antiinflamatorios prequirúrgicos. Se realizó un ensayo clínico controlado, aleatorizado y no ciego, se incluyeron pacientes que acudieron al servicio de oftalmología del Hospital Civil de Culiacán con glaucoma primario, de noviembre a diciembre de 2022. Mediante una tabla de aleatorización se asignaron de la siguiente manera: Grupo 1, dexametasona oftálmica 1.0 mg/ml; Grupo 2, bromfenaco oftálmico 0.9 mg/1ml; ambos una semana antes de la cirugía. Se clasificaron según la escala de Wuerzburg al día 7 y 30 postquirúrgico, para valorar la ampolla filtrante. Resultados: se incluyeron un total de 30 ojos, 15 en el grupo 1 y 15 en el grupo 2. La puntuación en el grupo 1 el día 7 postquirúrgico fue de 6.8±1.6 y en el grupo 2 fue de 7.5±2 (p=0.267). En el día 30 postquirúrgico, la puntuación fue de 6.5±2 en el grupo 1 y 7.2 ±1.7 en el grupo 2 (p=0.288). No se presentó significancia estadística entre los tratamientos, ambos son efectivos para la formación de la ampolla filtrante.

DOI: https://doi.org/10.54167/tch.v18i1.1318
(σ, τ)-Derivations on Prime Inverse Gamma Semi-Ring
Authors:   Department of Mathematics, College of Science, University of Baghdad, Baghdad, Iraq, kathem Sundus taha ,   Department of Mathematics, College of Science, University of Baghdad, Baghdad, Iraq, Majeed Abdulrahman Hameed
Published: January 2024

The concept of inverse Γ-semiring M is a generalization of inverse semiring. This paper investigates the concept (σ, τ)- derivation on inverse Γ-semiring and extend a few results of this map on prime inverse Γ- semiring that acts as a homomorphism or as an anti- homomorphism, where σ, τ are automorphisms on M.
Crafting Resilient Consensus Mechanisms for The Web3.0 Network Through Edge Intelligence
Authors:   Digital Charging Solutions GmbH, Germany, .. Mustafa El ,   University of Technology and Applied Science, Shinas, Oman, Kraidi Aaras Y.
Published: January 2024

The era of independent, secure, and scalable networks and applications that Web3.0 promised has arrived. The resilience and reliability of the network are directly tied to the architecture of the consensus mechanisms used in this context. In the paper Crafting resilient consensus mechanisms for the Web3.0 network through edge intelligence, the authors describe a novel approach to strengthening consensus protocols by leveraging edge computing and artificial intelligence. The primary purpose of this project is to improve Web 3.0 security by implementing consensus methods based on edge intelligence. The goal of this attempt is to reduce the inefficiencies, scalability challenges, and environmental concerns associated with more conventional approaches such as proof-of-work and proof-of-stake. The proposed method combines real-time network research with local transaction verification. This eventually leads to more scalable, secure, and effective consensus procedures, which increases the resilience and greatly decreases the cost of Web3.0 networks.The proposed method recognizes the inefficiencies, lack of scalability, and environmental unfriendliness of standard consensus procedures like the Proof of Work (PoW) and Proof of Stake (PoS) consensus processes. This approach makes use of edge intelligence in real time to assess the state of the network and make appropriate adjustments in response. What emerges is a consensus process that is greener, more scalable, and more successful overall. In addition, we provide the local transaction verification (LTV) technique, which allows edge nodes to validate transactions locally, therefore reducing latency and maximizing transaction efficiency. Our findings demonstrate how edge intelligence might improve Web3.0 consensus processes. Extensive simulations and tests show that the suggested approaches outperform conventional consensus mechanisms in terms of efficiency, security, and scalability. Cost reductions for Web3.0 network operators are also emphasized to emphasize the value of our strategy. Consensus procedures for Web3.0 networks that include edge intelligence provide a viable path toward attaining the required resilience, efficiency, and scalability. This study lays the way for a new age of distributed systems, guaranteeing the resiliency and flexibility essential to the success of Web3.0
The Emerging Role of Wearable Health Technologies in Proactive Disease Prevention
Authors:   Faculty of Artificial Intelligence, Data Science department, Egyptian Russian University (ERU), Cairo,, Zaher Mahmoud A. ,   Faculty of Computers and Information, Sadat Academy for Management Sciences, Cairo, Egypt   French University in Cairo, Egypt,   Electrical Eng. Dept, Higher Institute of Engineering, Minia, Egypt, Eldakhly Nabil M. , Hassan Yahia B.
Published: January 2024

The study gives a complete plan for lowering disease through the use of ICT in personal healthcare. The Health Pattern Recognition (HPR), Dynamic Risk Assessment (DRA), and Personalized Intervention Strategy (PIS) formulas are all parts of this method. They are used to collect, prepare, and use data. This research focuses on cybersecurity using health pattern recognition (HPR), dynamic risk assessment (DRA), and personalized intervention strategies (PIS). PIS offers a comprehensive disease prevention approach in personal healthcare that takes advantage of technological advancements. Because they integrate secure data processing with privacy-preserving machine learning, these aspects assure the safety and validity of health data collected from wearable devices. This option allows for the assessment of medical records. It may be helpful to analyze the technique's accuracy and adherence to established security standards in order to evaluate its application for disease prediction and preventive health management. The HPR program looks at each person's health information to find trends in diseases and other results using machine learning. This helps with early evaluation and healthcare management that avoids problems. DRA keeps a person's risk rating up to date so that it takes into account any changes in their health. After that, people are given choices based on the results and risks that PIS has predicted. Some of the tests that were used to compare the suggested method to industry standards were accuracy, sensitivity, specificity, precision, and the Matthews Correlation Coefficient. The suggested way seems to work because it has better predicting power, fewer fake positives, and more users who are involved in preventive health management.
Machine Learning Based Logistic Decision Support System for Intelligent Vehicles and Transportation Systems
Authors:   Technical Computer Engineering Department, Al-Kunooze University College, Basrah, Iraq, Zainab.R.Abdulsada Zainab.R ,   Medical instruments engineering techniques, Al-farahidi University, Baghdad, Iraq,   Department of Medical Devices Engineering Technologies, National University of Science and Technology, Dhi Qar, Nasiriyah, Iraq,   Computer Technologies Engineering, Al-Turath University College, Baghdad,Iraq,   Department of Computer Technical Engineering, Technical Engineering College, Al-Ayen University, Thi- Qar, Iraq,   Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technologies of Tunis, University of Tunis El Manar, Tunis 1006, Tunisia,   Faculty of Information  Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia, Hameed Waleed , Zainab.R.Abdulsada Zainab.R , Sherif Noora Hani , Haroon Noor Hanoon , Benameur Narjes , Burhanuddin M. A.
Published: January 2024

One-third of the freight expense is spent on transportation and transport networks, thus significantly impacting the logistics sector's efficiency. Artificial Intelligent logistics strategies are designed to alleviate the impact on metropolitan areas exacerbated by increased freight transport. The city of logistics is widely employed as a modern study area, has a significant social and economic influence, and has extensively explored the key elements and components. Most recent experiments concentrate on traffic management and logistics monitoring, even though no research studies have tried to detect drivers' distractions. Since drivers are one of the major parts of logistic service, this study incorporates existing logistics DSS with the cognitive model for predicting driver distraction. This paper presents a Machine Learning Integrated Decision Support System (MLIDSS) architecture and core components based on simulationoptimization modules to assist the smart logistics DSS with an eye to service delivery driver distraction level. The ML algorithms perform real-time driver distraction predictions for smooth logistics transportation. The viability of such a transportation system is often illustrated in the real world. The findings result in the highest-performing intelligent decision support system compared to existing models.
Efficient Information Fusion from Environmental Sensors for Near Real-Time IoT Analytics
Authors:   Department of International Business Management, Tashkent State University of Economics, Uzbekistan, Ibrahim Maha
Published: January 2024

This research paper explores the world of nearly real time analytics by focusing on methods of combining information obtained from Environmental Sensor data. The study utilized a customized setup consisting of three arrays of sensors connected to Raspberry Pi devices. It. Analyzed a dataset that encompassed various environmental conditions. By utilizing the Random Forest algorithm this research investigated how sensor readings, including temperature, humidity, LPG concentrations, smoke, light intensity and motion detection can be fused together. The methodology used cross-validation to ensure model training while visually presenting the intricate relationships, between environmental parameters. The results demonstrated the performance of the Random Forest model through visualizations showing Out of Bag (OOB) error rates and a comparative analysis of machine learning classifiers. The findings shed light on the potential of combining information from sensors to enable reliable predictions using Environmental Sensor data. This provides a foundation for advancements in analytics and applications related to environmental monitoring.
Multi-Dimensional Sensor Fusion for Proactive Maintenance in Pump Systems
Authors:   Department of International Business Management, Tashkent State University of Economics, Uzbekistan, Sulaymanov Samandarboy
Published: January 2024

This study focuses on the task of maintenance, in pump systems by utilizing a combination of multi dimensional sensor fusion and advanced machine learning techniques. Pump systems play a role in settings but unexpected failures can lead to significant disruptions and operational inefficiencies. The goal of this research is to predict and prevent these failures effectively. To achieve this we analyzed a dataset consisting of 52 sensor units and over 220,000 readings. By applying Principal Component Analysis (PCA) we were able to extract information and reduce complexity gaining an understanding of how the pump system behaves. We then utilized Long Short Term Memory (LSTM) networks to learn from the combined sensor data enabling predictions and early detection of faults that're vital for proactive maintenance strategies. Our findings demonstrate the potential of these methodologies. The integration of sensor data sources and the use of PCA for dimensionality reduction allowed us to obtain a view while LSTM networks effectively captured the temporal dynamics present, in the sensor data leading to precise predictions regarding system behavior.
Maternal embryonic leucine zipper kinase in cancer progress and therapeutic potentials
Authors: Cheng Qianyao
Published: January 2024

This review delves into the investigation of Maternal Embryonic Leucine Zipper Kinase (MELK) and its significance in different cancer types. The primary emphasis is placed on understanding its role in cancer cell proliferation, migration, invasion, and resistance to therapeutic interventions. The intricate mechanisms of action exhibited by MELK are of significant importance in the context of cancer progression. These mechanisms encompass a wide range of biological processes, including gene regulation, cellular activities, and interactions at the tissue level. This highlights the multifaceted nature of MELKs involvement in cancer development and underscores its significance in this context. This essay explores the potential of MELK as a diagnostic and prognostic biomarker, with a focus on its altered expression patterns in various cancer types. Furthermore, this study delves into the investigation of MELK as a highly promising target for cancer therapy. It provides an in-depth analysis of the progress made in the development of MELK inhibitors and explores their potential clinical applications. The research endeavours in this study focus on addressing challenges related to therapeutic resistance and biomarker validation. Additionally, the investigation explores potential opportunities for combination therapies and personalised medicine approaches. The future directions of research on maternal embryonic leucine zipper kinase (MELK) encompass an in-depth investigation into its underlying molecular mechanisms, the validation of clinical biomarkers associated with MELK, and the exploration of effective combination strategies involving MELK. The role of MELK in cancer and the possibility to utilize it as a target for therapy have garnered significant attention due to their potential to advance precision cancer care and improve patient outcomes.
Current available treatments for NSCLC
Authors: H Xia Philip Q
Published: January 2024

Lung cancer is one of the most prominent forms of cancer and ranks as the deadliest of disease afflicting humanity. To tackle this issue, a variety of treatment approaches have been devised to counteract this disease. This review aims to illustrate the mainstream curative and palliative treatment methods in managing non-small cell lung cancer, the most common subtype of lung malignancies.For each treatment method, we have investigated its mechanism, classifications, and techniques involved as well as the clinical success of these treatments. Furthermore, we have also included the reasoning behind each treatment plan, including both quality of life as well as overall survival benefits for the patient.
Recent treatments to Hepatocellular Carcinoma Cancer(HCC): update and outlook
Authors: Lu Letao , Ye Sishuo
Published: January 2024

In the US, hepatocellular carcinoma (HCC), which accounts for 75%85% of instances of liver cancer, is a substantial cause of cancer-related fatalities. This review focuses on the recent developments in managing HCC, specifically through Trans-arterial Chemoembolization (TACE), which is currently first-line recommended and boasts a high survival rate. We have also discussed gene therapy, which aims to correct or replace faulty genes contributing to HCC development. Although it is still on trial, early results show promise. There are also various treatments such as OLT, molecularly targeted therapy, radiation therapy, locoregional therapies, gene therapy and immunotherapy. We have also come up with an innovative idea of creating a therapeutic vaccine using circRNA instead of mRNA, along with LNP, to treat HCC. This approach combines the benefits and functions of both circRNA and LNP. Different components of LNP aid in diverse benefits, to name but a few, stability, encapsulation and delivery efficiency, and higher targeting specificity. The use of circRNA offers adjuvant to immune response and better stability. Recent studies suggest that this hypothesis is theoretically possible. A better understanding of the hazardous disease could lead to the development of more effective treatments, which are urgently needed.
Advances in early diagnosis and treatments of kidney cancer
Authors: Zhang Haowei
Published: January 2024

OVERMAN M J, LONARDI S, WONG K Y M, et al. Durable clinical benefit with nivolumab plus ipilimumab in DNA mismatch repair-deficient/microsatellite instability-high metastatic colorectal cancer [J]. J Clin Oncol, 2018, 36(8): 773-779.
The Pathogenesis and Differences in molecule of Autism
Authors: Xie Jingwen
Published: January 2024

With the deepening of the understanding of autism, the scope of autism spectrum disorder (ASD) continues to expand. The prevalence rate of ASD has arrived over 1% around the world. Language and social communication issues, as well as recurrent stereotyped interests and behaviors, are the main signs of autism. To find out the pathogenesis of autism, scientists have found a lot, which show that autism is a complex disorder resulting from many factors, but many questions remain unanswered. Numerous theses have been written about the causes and symptoms of autism, but frequently only a few of these perspectives have received attention. This review is to sum up the causative factors of autism, including genes and environmental, and lists how autism different from normal people in terms of genes, proteins, and cells. This review will introduce these factors with some examples.
Analysis of the application of bioinformatics in the medicine
Authors: Zhang Yinxi
Published: January 2024

As humans develop, science is also rapidly evolving, and biological science and medical support are vital for humans need. The development of biology has been particularly important. It stretches from the initial understanding of plants and animals to human biology and micro molecular biology, from macro understanding of life to micro molecular biology. Although it has accumulated a lot of knowledge about biology, it still has many unknowns about this giant and precise system. However, in recent years, a new interdisciplinary and emerging discipline has greatly opened up peoples understanding about biological information-bioinformatics. The most fundamental research target of bioinformatics is different sequences. The most important is the amino acid sequence of proteins and the base sequence of DNA. To study sequences and their constituent components, bioinformatics has another major research target - the biological database. This involves analysing the structure, connotation, and function of biological information through basic protein and nucleic acid sequences. Therefore, bioinformatics has made tremendous applications in the medical field. This research mainly analyzes and discusses the advantages and disadvantages of the application of bioinformatics in the medical field.
Vagus nerve stimulation on epilepsy and depression
Authors: Lin Yuxiao
Published: January 2024

This review presents an overview of vagus nerve stimulation (VNS) utilization. The vagus nerve (VN) is among the most versatile and important nerves, with the capability to regulate a few bodily functions, and has been playing a vital role as part of therapies for a range of health concerns. VNS is an effective therapeutic method, which has gotten the approval of the Food and Drug Administration (FDA) of the United States. It is a type of neurostimulation method that plays a crucial part in drug-resistant depression and refractory epilepsy. It provides a surgical option for patients suffering from the conditions mentioned above, and is rather effective compared with other surgical approaches, thus improving patients life quality. Despite side effects, it is considered a decent therapeutic method and is currently used widely clinically. Furthermore, the mechanisms of VNS have not been completely understood. Therefore, further research is necessary, to discover the potential of VNS as an additional therapy for various other medical conditions.
L-theanine mechanism and application in the treatment of breast cancer
Authors: Li Cong , Cai Renyue , Chen Linjiusheng , Xu Shizhen , Yang Xiaoyu , Huang Yixin
Published: January 2024

Breast cancer has been recognized as the leading cancer worldwide and is one of the most common diseases among women, with an incidence rate of up to 7.7%. The pathogenesis of breast cancer can be categorized into congenital and acquired factors, including epigenetics and mutations. The occurrence of breast cancer is closely related to acquired factors such as environment, emotions, and diet. Numerous studies have demonstrated that L-theanine in tea can intervene in the growth and spread of breast cancer cells, thus playing a role in the treatment and prevention of breast cancer. This article provides an overview of the current research on the prevention and treatment of breast cancer using L-theanine, and also prospects the future development and application of L-theanine.
Analysis on type 2 diabetes genetic polymorphism of different races/ethnicity
Authors: Cai Rui
Published: January 2024

Whether from the perspective of impact scope or patient number, type 2 diabetes is one of the most influential diseases around the world today. However, in regards to type 2 diabetess pathology, scientists still could not provide an accurate explanation. In the long period of research, our understanding of the disease has already become deep enough to realize that type 2 diabetes is closely associated with genetics. This passage is based on this point of view and aims to take a glance at the polymorphism between genetic information of different racial/ethnic groups of people. From the analysis, it could be concluded that genetic polymorphism can provide useful information for the difference of pathology of patients, which could then inspire further drug development and more proper treatment scheme decision.
Treatment of sickle cell anemia using CRISPR and prime editing
Authors: Yang Hongwei
Published: January 2024

Sickle cell disease is a hereditary blood disease caused by an invisible genetic mutation on the autosome, caused by a transversion mutation in which the 6th amino acid of the -peptide chain, glutamate, is replaced by valine, resulting in the formation of sickle hemoglobin, instead of normal hemoglobin. Due to genetic mutations leading to structural abnormalities in hemoglobin and morphological changes in red blood cells, red blood cells lose their deformability in hypoxic environments, leading to vascular blockage, causing severe pain and partial tissue ischemia in patients. Oxygen needs to be transported to various parts of the body through red blood cells, thereby affecting the transportation of oxygen in the body. In general, red blood cells are circular and elastic, making them easy to move in blood vessels. However, in sickle cells, these red blood cells are compressed and deformed, causing the transportation of oxygen in the blood to become stiff and viscous, potentially slowing or blocking blood flow. The most common complication of SCA is blockage of blood vessels, which leads to pain. Although this is a complex phenomenon, HbS aggregation is a fundamental pathological physiological phenomenon in SCA. HbS aggregation can lead to malignant changes in the shape and physical properties of red blood cells, leading to hemolytic anemia and preventing blood flow, especially in small blood vessels, which may damage some organs. Clinical manifestations include anemia, immunodeficiency, multiple organ damage, severe acute and chronic pain, and premature death. The quality of life of the patients was seriously affected.
Impact of the circadian clock on cardiovascular physiology and pathophysiology
Authors: Lin Anqi
Published: January 2024

Circadian rhythms are the innate approximately 24-hour oscillations that orchestrate a multitude of physiological processes encompassing sleep-wake cycles, hormone secretion, thermoregulation, metabolism, and behavioral patterns. Also, those rhythms are intrinsically governed by the suprachiasmatic nucleus (SCN) ensconced in the anterior hypothalamic region. The SCN, synchronized during daylight hours receives and transmits diverse bodily signals to calibrate physiological dynamics, and imbue disturbances with potential repercussions reverberating across a plethora of physiological and behavioral domains. Previous studies have proven that the diurnal changes in the circadian rhythm multiple myocardial processes and have a critical impact on the physiology and pathophysiology of the cardiovascular system. This comprehensive review emphasizes the profound influence of circadian rhythms, orchestrated by the suprachiasmatic nucleus, on cardiovascular health. It reveals that disruptions in circadian rhythms impact blood pressure, myocardial function, platelet responsiveness, and the autonomic nervous system, all of which are critical for cardiovascular well-being. The significance of this research lies in its potential to guide interventions for cardiovascular disease prevention and management, particularly in the context of modern challenges like shift work. Understanding this intricate relationship is crucial for safeguarding cardiovascular health in our fast-paced world.
Mechanism analysis of toxic and side effects of chemicals on human body
Authors: Shen Yinzhi
Published: January 2024

The exposure of the human body to different chemical substances poses a critical hazard to public well-being. Chemical toxicity is fundamentally ascribed to the disturbance of typical biological processes and can result in unfavorable health results. Understanding the components by which chemical substances apply their harmful impacts is vital for surveying and moderating these dangers. In this research, it will discuss the different routes of exposure, such as inhalation ingestion and dermal contact through which chemicals can enter the body. This research investigates the complex instruments at the atomic and cellular levels, counting oxidative stretch DNA harm and disturbance of enzymatic pathways by which harmful impacts are actuated. The evaluation of chemical toxicity includes a range of toxicological considerations, including acute and chronic toxicity tests, genotoxicity measures, and carcinogenicity evaluations. The development of reliable toxicity evaluation strategies, such as in vitro and in silico models, plays an urgent part in predicting the adverse impacts of chemical substances. Administrative systems and hazard evaluation techniques are discussed to guarantee peoples and the environments security. A comprehensive understanding of the components and assessment of poisonous side impacts is essential for defending open health and minimizing the hindering effects of chemical exposure.
Exploration of adolescent criminal psychology and psychological intervention
Authors: Xiang Sicheng
Published: January 2024

This literature review delves into adolescent criminal psychology and investigates the potential effectiveness of psychological interventions in reducing youth crime. The issue of teenage delinquency is a pressing societal concern with far-reaching consequences. This paper thoroughly examines this complex subject by synthesizing existing literature. The review assesses key findings in adolescent criminal psychology, including the impact of family dynamics and social factors on crime rates. This review sheds light on the multifaceted nature of juvenile delinquency by illuminating the complex interplay of factors that contribute to it. It emphasizes the importance of addressing individual psychological determinants in addition to broader socio-environmental contexts. This literature review explores adolescent criminal psychology and evaluates the effectiveness of psychological interventions in reducing youth crime. The paper provides insights into the psychological underpinnings of childish criminal behavior and the potential strategies for intervention. It delves into the complexity of juvenile delinquency, highlighting the interplay of factors that contribute to it, such as family dynamics, mental health, and social influences. The findings emphasize the importance of addressing these factors to develop more effective approaches to mitigating youth crime.
Music therapy in insomnia
Authors: He Zhen
Published: January 2024

Insomnia, as a problem plaguing most people in modern society affecting 30% population in the worldwide, is the phenomenon of not being able to sleep mainly due to emotional problems; most of the emotional problems leading to insomnia are negative emotions, such as anxiety and depression. Music therapy is now greatly emphasized in psychiatric treatment and is gradually entering the clinical stage of depression and anxiety treatment. Here, this review first introduces the classification of emotions and EEG, which was used to record the brain waves and analyze and visualize the effects of different types of music on neuronal activity, and help to select the the most effective types of music to treat insomnia, then focuses on the application of music therapy in the treatment of insomnia through a case, such as music affecting the neuronal activity of the brain and mood adjustment to induce sleep and even deep sleep. The purpose of this review is to to make staffs in related fields pay attention to the role of music in the treatment of insomnia, and to provide ideas and directions for future research in this field.
Insight into breast cancer mechanism, drug resistance and treatment methods
Authors: Chen Jingyu
Published: January 2024

Due to the multiple cancer variants in the world, the treatment of cancer around the world has gradually fallen into a bottleneck. This article takes breast cancer as the prototype, describes in detail the causes of breast cancer, the treatment plan and the dilemma faced by the treatment of breast cancer, and puts forward a new idea for conquering breast cancer, as well as the prospect and expectation for the future human fight against cancer.
A review of the effect of phone use on sleep and methods to sleep better
Authors: Chen Shijie
Published: January 2024

The use of mobile phones has risen in the last decades exponentially. People, particularly young adults, spend the majority of their time on phones every day. Many studies have shown the negative impacts of electronic device use on sleep. Inappropriate mobile phone use affects sleep by making it harder to sleep, reducing mean sleep time, and diminishing sleep quality. This review focuses on how smartphone use affects sleep through biological and psychological aspects. The paper also provides insights on changing phone use habits to acquire better sleep and prevent developing sleep disorders.
Golf's physical training and psychological training
Authors: Song Mingho
Published: January 2024

The physical and mental training in golf is crucial to the success of athletes. Physical training helps improve the stability and power of the swing technique, enhances endurance and performance on the golf course. Mental training, on the other hand, assists in controlling emotions, coping with competition pressure, improving focus, and building confidence. The combination of physical and mental training produces a synergistic effect, enhancing the overall ability and consistency of performance for golfers. As a result, more and more professional players and coaches are recognizing the importance of physical and mental training and incorporating it into their training plans. By emphasizing physical and mental training, athletes can gain a competitive edge and achieve success in golf competitions. This article analyzes the training methods for golfers and highlights the significance of physical and mental training. Furthermore, it emphasizes the complementary nature of physical and mental training, as they work together to enhance the overall performance and consistency of golfers.