bluuebunny/crossref_metadata_2025 huggingface dataset:
CLASSIFICATION OF THYROID CANCER DIAGNOSIS STATUS USING RELATIONAL CLASSIFICATION METHOD
Authors: Pınar Abdulvahap
Published: November 2024

Thyroid cancer is among the most common endocrine system malignancies and can recur. This demonstrates how critical it is to accurately determine the likelihood of recurrence. Consequently, maximizing patient treatment regimens and formulating follow-up strategies depend heavily on accurately estimating the probability of disease recurrence. Machine learning (ML) is used to find patterns and predict subtleties in large data sets that traditional analytical techniques cannot. Utilizing these insights in clinical practice will help manage patients' treatment and monitoring plans more effectively. In this study, we train Data Mining (DM) models to predict recurrence status (No Recurrence, Recurrence Present) in patients diagnosed with thyroid cancer and classify the trained models. The thyroid dataset is reduced from 16 to 11 attributes using Boruta (Random Forest) variable selection algorithm. Thyroid cancer is analyzed with the supervised learning model, the Associative classification (IC) method. The Ameva discretization algorithm was used to improve the performance of the models and to improve the data distribution. Classification Based Association Rules (CBAR) and Regularized Class Association Rules (RCAR) algorithms were used to build the prediction models. The performance of CBAR and RCAR algorithms in accurately classifying patients diagnosed with thyroid cancer was compared and found to be 95.8% and 94.5%, respectively. CBAR algorithm is more effective than RCAR algorithm in correctly classifying patients diagnosed with thyroid cancer.
Globalization, Colonization, Islamization, and Social Work Practice
Authors: Al-Krenawi Alean , Hashmi Julianne , Patel Dhaval
Published: November 2024

This paper explores the critical intersection of social work and Islam, focusing on the Middle East and North Africa (MENA) region amidst historical and ongoing conflicts. The study examines how Western-oriented social work education often clashes with the realities faced by Muslim populations who interpret the world through an Islamic lens. The impact of colonialism, modernization, and globalization on social work practices in the MENA region is emphasized, highlighting the enduring effects of these forces on local knowledge and the marginalization of indigenous Islamic wisdom. The study advocates for a paradigm shift toward authentization—developing social work approaches grounded in the local cultural and religious contexts of Muslim populations. It discusses the integration of Islamic practices and values into social work and psychotherapy, emphasizing the therapeutic benefits of Islamic rituals, spirituality, and community-oriented practices. The paper also underscores the need for culturally relevant social work education that reflects the diverse realities of Muslim clients. By promoting a more inclusive and culturally sensitive approach, the article aims to bridge the gap between Western social work practices and the needs of Muslim communities, fostering better outcomes and enhanced well-being for those served.
Distal Radius Fracture with Dorsal Angulation
Authors: Bokkisam Ronith , Iftikhar Nofel , Ganti Latha
Published: November 2024

Distal radial fractures (DRFs) are prevalent injuries and represent one of the most common fractures seen in the Emergency Department (ED). DRFs often result from falls on an outstretched hand (FOOSH). This case study details a 64-year-old female who sustained a distal radial fracture with dorsal angulations (DRFDA) from ice skating, confirmed via radiographic evaluation. Initial treatment involved immobilization, pain management, and follow-up with orthopedic specialists. Proper diagnosis and management are essential to prevent long-term functional impairments, with treatment ranging from casting to surgical intervention based on fracture severity.
History of the Nerve Block
Authors: Go Daniel , Gould Murdoc , Ganti Latha
Published: November 2024

Nerve blocks hold an important place in medicine. They are used to help with surgeries, allowing a painless surgical procedure without requiring the patient to be on full anesthesia. They can also provide a faster recovery period and apply to almost any body part. This paper summarizes how the nerve block became a procedure, the history of the drugs used and developed for it, and how machinery has allowed nerve blocks to progress to the point they are at today.
Understanding the patho-anatomy of patellofemoral pain: A crucial foundation for comprehensive management
Authors: Garza-Borjón Abiel , González-González Mirna , de la Garza-Salazar José Fernando , Simental-Mendía Mario , Acosta-Olivo Carlos
Published: November 2024

Patellofemoral or anterior knee pain is a common cause of medical evaluation around the globe. It affects one in four individuals and is more frequent in females. It is considered a multifactorial disease in which conservative management must focus on the alterations found in the physical exam and radiologic images. Recurrence is high, as 39-40% of the patients continue with symptoms in one year of follow-up. Surgical management should be considered when symptoms persist after six months of conservative measures and when evident malalignments are identified. This article aims to establish and summarize the possible causes, involve the importance of the physical examination and the radiologic images suggested, as to consider the different treatment options that may be used to treat such a frequent and irregular pathology.
APA style. Recommendations for use
Authors: Shaihorodskyi Yurii
Published: November 2024

Методичні рекомендації розроблені на основі чинних нормативно-правових актів України з урахуванням Національного стандарту України ДСТУ 8302:2015 "Інформація та документація. Бібліографічне посилання. Загальні положення та правила складання"; ДСТУ 7152:2020 "Інформація та документація. Видання. Оформлення публікацій у журналах і збірниках"; системи міжнародних стандартів ISO 8:2019 "Information and documentation Presentation and identification of periodicals"; наказу МОН України від 12.01.2017 № 40. Рекомендації адаптовані до використання у виданнях Інституту політичних і етнонаціональних досліджень ім. І. Ф. Кураса НАН України редакціях (APA 6th ed. & APA 7th ed.) стандарту American Psychological Association оформлення списків використаних джерел та посилань на них. Посібник містить приклади укладання "Бібліографічних посилань" та "References", а також – загальні рекомендації щодо оформлення наукової роботи (шрифт, поля, міжрядковий інтервал, абзац, розміщення тексту на сторінці тощо).
Bazı endemik ve tıbbi öneme sahip bitki türlerinin uçucu bileşenlerinin yükseltiye bağlı değişimi
Authors: Tekeş Ayşegül , Göksu Karagöz Sermin , Ulusan Musa Denizhan
Published: November 2024

Giriş ve Hedefler Bu çalışmada, Türkiye’ye özgü 3 endemik bitki türü olan Hypericum aviculariifolium Jaub. & Spach, subsp. depilatum (Freyn & Bornm.) Robson var. depilatum, Stachys cretica L. subsp. anatolica Rech.f. ve Phlomis nissolii L.’nin çiçek ve yapraklarının uçucu bileşenlerinin yükseltiye bağlı değişimleri incelenmiştir.
Yöntemler Tepe Boşluğu – Katı Faz Mikro Ekstraksiyon (Headspace Solid Phase Micro-Extraction-HS-SPME) yöntemi ile 3 tekerrürlü şekilde analiz yapıldı.
Bulgular Analizler sonucunda H. aviculariifolium subsp. depilatum var. depilatum’da 101, S. cretica subsp. anatolica’da 79 ve P. nissolii’de 81 bileşen tespit edilmiştir. H. aviculariifolium subsp. depilatum var. depilatum’da çiçeklerde alt yükseltide trans-Caryophyllene ve Hendecane, üst yükseltide alpha- Pinene ve alpha- Selinene, yapraklarda alt yükseltide Carvacrol ve Thymol, üst yükseltide beta- Elemene ve alpha- Copaene ana bileşen olarak belirlenmiştir. S. cretica subsp. anatolica’da çiçeklerde alt ve üst yükseltide Benzaldehyde ve alpha- Pinene ana bileşen olarak tespit edilmiştir. Yapraklarda alt yükseltide Benzaldehyde ve alpha- Pinene, üst yükseltide Benzaldehyde ve Germacrene D ana bileşen olarak tespit edilmiştir. P. nissolii’de çiçeklerde ve yapraklarda alt ve üst yükseltide trans-Caryophyllene ve Germacrene D ana bileşen olarak saptanmıştır.
Sonuçlar Bitkilerin uçucu bileşenlerindeki bu değişkenliğin yükseltinin yanı sıra coğrafi konum ve genetik yapı gibi diğer çevresel faktörler ile bitkinin hangi kısmının incelendiği (morfolojik yapı) ve kullanılan analiz yöntemi gibi unsurların etkili olduğu görülmüştür. Bu sonuçlar bitkilerin kimyasal profillerinin ekolojik faktörlere bağlı olarak önemli değişimler gösterebileceğini ortaya koymaktadır.
Engineering Students Perceptions of Tool Based Instructions for Engineering Chemistry: A Case Study During Covid
Authors: Afrooze Anjum
Published: November 2024

The covid pandemic had evolved a new era in academia. This global disruption led educationists to deliver lessons online with minimal or no formal training especially in Indian education system. This is a qualitative study about the contextualized instructing and learning approach during pandemic and its impact on the teacher and the students perception about tool based approach in Indian set up with participation of 161 engineering students of different branches of three engineering colleges. These cohorts were not used to even blended learning platforms. This instructional strategy was gauged by collecting survey responses, focused interviews and instructors observation at the end of the course. It expects to increase the understanding of inclusion of tool based instructions to scaffold the students learning and teachers instructing based on CoI framework. Statistical data was analysed through SPSS with Cronbach's alpha of 0.892.The mean score,t and p values revealed a higher number of students affirming the positive impact of face-to-face approach , the inclination of students to include tool based instructions partly in the curriculum and which tool was most opted . This learning process transformed the instructors' and students' views on online teaching and its productiveness, nevertheless its challenges and made the instructor ready to leverage online instructions even after pandemic ,including elements of cognitive, social, teaching presence, based on student responses and instructors’ observation.
Perda gestacional em bovinos
Authors: Sartori Roberto , Silva Lucas Oliveira e , Silva Taynara Jaqueline Barreiro da , Alves Rodrigo Lemos Olivieri Rodrigues
Published: November 2024

A eficiência reprodutiva é determinante para o potencial produtivo e a rentabilidade dos sistemas de criação de bovinos, tanto leiteiros quanto de corte. Para tanto, é necessário não somente que as fêmeas tenham capacidade de emprenhar rapidamente, mas também que sejam capazes de manter essa gestação até o parto, gerando um bezerro saudável e uma lactação produtiva. Nesse contexto, um dos principais desafios a ser enfrentado é a perda gestacional (PG), que impacta negativamente a viabilidade econômica e a capacidade produtiva dos rebanhos. A ocorrência de PG acarreta custos elevados para o sistema de produção, especialmente quando ocorre em estágios mais avançados da gestação. A PG pode ser categorizada pela morte embrionária precoce, morte embrionária tardia e morte fetal, dependendo do estágio gestacional em que ocorre. Estudos têm demonstrado que a maior incidência de PG ocorre no período embrionário precoce, ainda antes do primeiro diagnóstico de gestação, dificultando sua detecção e mitigação. Diversos fatores podem estar associados à PG em rebanhos de corte e leiteiros. Dentre esses fatores, destacam-se efeitos genéticos, metabólicos, nutricionais e endócrinos, além de fatores relacionados à ambiência, saúde e manejo do rebanho. A compreensão destes fatores, bem como o melhor entendimento dos mecanismos que podem acarretar a PG é essencial para o desenvolvimento de estratégias que melhorem a eficiência reprodutiva e, consequentemente, a rentabilidade dos sistemas de produção. O objetivo desta revisão é discutir a incidência de PG em bovinos, suas causas, fatores associados e possíveis estratégias para reduzi-las.
Morfometría del ovario, cuerpo lúteo y concentración de progesterona en la gestación de la cobaya
Authors: Gañán Gisela , Munzón Fernanda , Ayala Luis , Garay Gabriela S.
Published: November 2024

El cuy (Cavia porcellus) es un animal reconocido como biomodelo en diversos experimentos gestacionales, que involucran el desarrollo del cuerpo lúteo (CL) como una estructura glandular transitoria, que es esencial para el mantenimiento de la gestación en su primer tercio a través de la progesterona (Shaw et al., 2018). Esta estructura ovárica experimenta un proceso de regresión, caracterizado por una disminución de la funcionalidad (Vallcaneras et al., 2022). A pesar de la importancia inicial del CL y de la progesterona (P4) en la gestación, los estudios realizados en los cobayos son insuficientes para entender su funcionamiento en la etapa inicial de la gestación, por lo que es necesario caracterizar el desarrollo del CL y la concentración de P4 plasmática en las primeras 5 semanas de gestación de la cobaya. Por lo antes expuesto, el trabajo tuvo como objetivo establecer las características morfométricas del ovario, cuerpo lúteo y la concentración de la progesterona en los primeros 35 días de gestación de la cobaya.
Implementación de un plan sanitario para el control de Leucosis Bovina en una explotación lechera en Cuenca, Ecuador
Authors: Andrade Omar S. , Castro Jerez Gonzalo , Loja Pacho Jaime Santiago , Haro Haro Andrés Norberto , Picón Saavedra Marco Antonio , Dután Sanango Jorge Bolivar , Aucancela Yunganaula María Elena , Ramónez Cárdenas Juan Carlos , Vintimilla Rojas Andrea Elizabeth
Published: November 2024

La leucosis bovina es una enfermedad cuyo agente causal, el virus de la leucemia bovina, afecta sobre todo al sistema inmune. Su control en ganaderías lecheras es crucial debido a la falta de vacuna. La implementación de un plan sanitario para el control y erradicación de animales infectados es indispensable. Este estudio tuvo como objetivo determinar la eficacia de un plan de control y vigilancia sanitario adoptado en una explotación lechera en Cuenca, Ecuador entre los años 2020 y 2024. Para esto se recolectaron muestras de sangre de 123 animales de la raza Holstein Friesian durante el periodo indicado, para la identificación de animales seropositivos se utilizó la prueba ELISA indirecta. La prevalencia inicial del rebaño se estableció en un 19,29%. Las medidas sanitarias para reducir el número de animales infectados incluyeron la identificación y segregación de animales seropositivos, eliminación de hembras infectadas y sus terneros, así como medidas de bioseguridad, como el uso de guantes y agujas individuales. Se prohibió el ingreso de animales sin certificado sanitario, además, se promovió la administración de calostro de madres seronegativas a los terneros. Los resultados indicaron la reducción de los animales infectados a partir de la implementación del programa en el año 2022 encontrándose 2 animales seropositivos en el año 2024. En cuanto al sexo de los animales que presentaron anticuerpos el 100 % fueron hembras, mientras que la edad de los animales infectados 24 estuvieron en un intervalo de 8 y 13 años y cinco entre 2 a 4 años.
Seyyahların İzinde Türkistan
Authors: Avcu Burak
Published: November 2024

Bu eserin birinci baskısı Ekim 2019’da Doç. Dr. unvanına sahip Prof. Dr. Mustafa Gökçe’nin editörlüğünde ve Ankara ili Pegem Akademi Yayıncılık bünyesinde yayımlanmıştır. ISBN 978-605-037-036-2 numarasına sahip olup 416 sayfadan oluşmaktadır. 3. baskısı yapılmış olan eser toplam on beş bölümden oluşmaktadır ve her bir bölüm başka bir yazar tarafından ele alınmıştır. Mustafa Gökçe’nin dışında yazarlar arasında Hasan Işık, Aslı Çandarlı Şahin, Özgür Türker, Selim Serkan Ükten, Selim Karagöz, Tuba Tombuloğlu, Khalida Devrisheva, Oktay Berber, Eralp Erdoğan, Cihat Cihan, Abdolvahid Soofizadeh, Melek Çolak, Yunus İnce ve Leyla Derviş bulunmaktadır. Kitabın editörü Prof. Dr. Mustafa Gökçe, Muğla Sıtkı Koçman Üniversitesi Edebiyat Fakültesi Tarih Bölümü’nün Genel Türk Tarihi Anabilim Dalı’nda görevlidir.
ESİK YAZISI
Authors: Celilov Firudin A.
Published: November 2024

1970’te Kazakistan’ın Almatı kenti yakınlarında keşfedilen Esik Kurganı, “Altın Elbiseli Adam” olarak anılan ve altın giysiler içinde gömülmüş bireyin mezarıyla tarihe ışık tutmaktadır. Bu mezar, MÖ 5.-4. yüzyıllara tarihlenmekte ve dönemin kültürel zenginliklerini yansıtan çok sayıda değerli objeyi içermektedir. Kurganın içindeki altın giysiler, o dönemdeki insanların sosyal statülerini ve inançlarını yansıtmanın yanı sıra, farklı kültürler arasındaki etkileşimlere dair önemli izler taşımaktadır. Türk tarihine dair pek çok yeni soruyu beraberinde getiren bu bulgunun, en dikkat çekici öğelerinden biri de üzerinde bir yazı bulunan gümüş kasedir. Bu yazı, Orta Asya’daki en eski yazı örneklerinden biri olarak kabul edilmekte ve Türk yazı sistemlerinin kökenlerine dair yeni tartışmalara yol açmaktadır; ancak yazının dili, yönü ve anlamı üzerine ortak bir çözüm henüz bulunamamıştır. Çeşitli dillerle bağlantı kurularak yapılan analizler, yazıyı anlamaya yönelik bazı fikirler sunmuş olsa da, mevcut yapısal belirsizlikler nedeniyle kesin bir sonuca ulaşılamamıştır. Bu durum, bölgenin tarihî ve kültürel mirası hakkında daha fazla sorunun ve tartışmanın ortaya çıkmasına da yol açmaktadır. Esik Yazısı, tarihsel bağlamda çözülmeyi bekleyen önemli bir belge olarak öne çıkmaktadır. Yazının başarılı bir şekilde çözülmesi, mezarda gömülen bireyin etnik kimliği ve eski Türk topluluklarının kültürel yapısı hakkında daha derin bir anlayış sağlayacaktır. Esik Kurganı’nın keşfi, yalnızca arkeolojik bir bulgu değildir, aynı zamanda Türk tarihinin derinliklerine ışık tutan bir işlev de görmektedir. Bu yazı, eski Türk kültürüne dair sembolik ipuçları da içermektedir. Yazının taşıdığı anlamın, dönemin sosyal ve dinî yapılarına ilişkin önemli bilgiler sunabileceği düşünülmektedir. Bu yazının başarılı bir çözümlemesi, Esik Kurganı’nda gömülen bireyin etnik kimliği ve eski Türk topluluklarının kültürel yapısı hakkında daha derin bir anlayış sunabilecektir. Bu çalışmada, daha önceki okumalardaki ve yorumlamalardaki hatalar gözden geçirilerek, farklı bir perspektifle yeniden bir yorumlama ve çözümleme denemesi yapılmıştır. Görünen bu hatalar başlıklar şeklinde sıralanmış, her bir neden ayrı ayrı değerlendirilerek ortak bir çözüm aranmıştır. Daha önceki çözümleme denemelerinde, gözden kaçmış, yazının en önemli parçası olan piktogram da değerlendirilmiştir. Gramatoloji kurallarına göre yeniden değerlendirilen yazı, soldan sağa okunmuş ve yeni öneriler sunulmuştur.
A Study on the Value Destruction Caused by Incomplete Interaction Behaviors on a Live Shopping Platform
Authors: Tser-Yieth Chen , Pei-Fang Li , Tzu-Han Hsu
Published: November 2024

This study aims to understand the impact of incomplete interaction behaviors on value destruction in online shopping. Incomplete interaction behaviors include incomplete product interaction, incomplete information interaction and incomplete parasocial interaction. Additionally, negative inter­personal and intrapersonal relationships are used as mediators in this study. Views were collected from 522 users in Taiwan who have used livestream platforms for shopping and had negative experiences. An online questionnaire was designed and sent to livestreaming customers, and quota sampling was employed to enhance the sample representativeness. The empirical results were produced by covariance-based structural equation modeling with AMOS and show that incomplete parasocial interaction has the greatest impact on value destruction via negative interpersonal relationships. The negative intrapersonal relationships were not found to have mediation effects in this study. The practical implications for individuals who plan to join the livestream shopping industry are not only able to showcase products, but also appropriately disclose their personas to build relationships with customers and interact with those who show their emotions or views. Managing customer-to-customer interactions in the livestreaming process is equally important, as negative feelings among customers directly result in value destruction. In other words, streamers should focus on training themselves in the aspects of what product and personal information should be disclosed to the public and focus on observing and managing the feelings and emotions of their live customers as well as the consumer-to-consumer relationships.
Brand Hate as a Mediator: The Study of Brand Image and Brand Relationship Quality in Virtual Brand Communities
Authors: Ghani Noor Hasmini Abd , Wang Peijing , Anuar Nur Izzati Mohamad
Published: November 2024

The goal of this study is to look at the relationship between the independent variable brand image, mediated by brand hate, and the dependent variable of brand relationship quality (BRQ) in a virtual brand community. This study adopts a quantitative design using the random stratified sampling method to select 340 Xiaomi cell phone users in China to fill out a questionnaire to collect empirical collection and analyze the interrelationships between the constructs based on PLS-SEM. The results show that of the three dimensions of brand image (functional, symbolic and experiential) in relation to BRQ, only symbolic image has a non-significant relationship with BRQ. Brand hate played a significant mediating role in the relationship between brand image and BRQ. The theoretical and practical contributions are explained for insight enhancement toward the variables involved and further support existing literature. Brand image composition and brand hate composition are closely related to BRQ. In particular, this study aims to determine the factors that affect BRQ in the virtual brand community (VBC) according to the VBC characteristics. Therefore, it is necessary to strengthen the maintenance of brand image, reduce brand hate, and improve the BRQ in the cell phone VBC.
The Interconnection between Job Satisfaction and Emotional Exhaustion against the Strike at Primary Education Teachers in Kosovo
Authors: Zhubi Mimoza , Zhubi Dren , Kovaçi Idriz , Tahiri Alberta
Published: November 2024

This study investigates the relationship between job satisfaction and emotional exhaustion among primary education teachers in Kosovo, particularly in the context of strikes. The purpose of this paper is to understand how these variables interact and influence each other focusing on the impact of work experience. The methodology involved a quantitative approach using structured instruments to measure job satisfaction, emotional exhaustion and strike tendencies among 150 teachers from three primary schools in Pristina. Data were collected through questionnaires and analyzed using descriptive statistics, correlation analysis and one-way ANOVA. The findings reveal a positive and linear relationship between job satisfaction and emotional exhaustion indicating that teachers experiencing higher levels of emotional exhaustion report lower job satisfaction. Additionally, the results show that work experience significantly influences job satisfaction with more experienced teachers reporting higher satisfaction levels and better navi­gation of strikes. However, no significant relationships were found between job satisfaction and strike tendencies or between emotional exhaustion and strike tendencies. The practical implications of this study underscore the importance of addressing emotional exhaustion to enhance job satisfaction among teachers. The findings suggest that future research should explore interventions aimed at mitigating emotional exhaustion and improving job satisfaction in educational settings by providing a comprehensive understanding of the dynamics between job satisfaction, emotional exhaustion and strike tendencies. These insights can inform educational policy and teacher support programs ultimately contributing to a more supportive and satis­fying work environment for teachers.
Preface: 3rd International Conference on Automobile Engineering and Traffic Science (AETS 2024)
Authors: Ferguson Michaelia , Hong Yun
Published: November 2024

The 2024 3rd International Conference on Automobile Engineering and Traffic Science (AETS 2024) was successfully held during October 12-13, 2024 in Milan, Italy. As a major international conference on automobile engineering, vehicle engineering, mechanical engineering, road safety, intelligent transportation system, and traffic science, AETS 2024 aims at bringing together researchers from the world and providing them with a high-qualified platform for them to share their latest studies and inspiring findings. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.
AETS 2024 is a platform for participants from diverse field to exchange ideas and findings to promote cooperation, networking as well as knowledge sharing in engineering practice. The conference includes the fields of i) Automobile Engineering, ii) Vehicle Engineering, iii) Mechanical Engineering, as well as iv) Traffic Science and Transport System. The accepted papers that focused on theory, applications, design, and experimental studies relevant to these fields were invited to present in this conference.
We want to express our gratitude to all reviewers for their time and effort in reviewing the papers. Their feedbacks to the authors have been excellent and useful to ensure the high quality of papers for the conference. Our sincere thanks also go to the organizing committee members for their hard work, cooperation and insights in ensuring the success of this conference.
AETS 2024 Conference Committees
Milan, Italy
A Study on Maximizing Traffic Reachability in Contingency Scenarios Based on Genetic Algorithms
Authors: Zhang Junmeng
Published: November 2024

This paper presents a study on maximizing traffic demand accessibility in transportation networks under contingency scenarios using genetic algorithms. Transportation demand accessibility is defined as the proportion of allocated traffic that can reach its destination, considering potential disruptions in the network. The study begins by formulating a model for calculating transportation demand accessibility between different origin-destination pairs, taking into account the possibility of unforeseen events on any road segment. By applying genetic algorithms, the study aims to optimize the allocation of traffic flows in a way that maximizes the expected reachability across the network, even when multiple road sections experience contingencies. Several scenarios are considered, including the introduction of capacity constraints on road segments and varying traffic demands. The results demonstrate that the proposed method can effectively optimize traffic flow allocation, enhancing the robustness and efficiency of transportation networks under uncertain conditions. This research provides valuable insights for urban planners and traffic managers seeking to improve network resilience in the face of unexpected disruptions.
Bidirectional Long Short-Term Memory Model for Metro Passenger flow Prediction
Authors: Huang Gu , Mai Guitang , Xiao Tianxi
Published: November 2024

To maximize metro operations, accurate short-term passenger flow projections are essential. The paper utilizes Bidirectional Long Short-Term Memory (BiLSTM) to forecast passenger flow based on data from January 16 to January 25, 2019. By contrasting BiLSTM with conventional models of Long Short-Term Memory (LSTM) and Recurrent Neural Network (RNN), the research highlights BiLSTM’s superior ability to capture temporal dependencies from both past and future data. The analysis reveals distinct patterns for weekdays and weekends, with double peaks during commute hours on weekdays and a continuous peak in the afternoon on weekends. The results indicate that BiLSTM outstandingly enhances the prediction's accuracy, with less Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) in contrast to RNN and LSTM. This enhanced predictive capability supports more effective scheduling and flow management in metro systems, ensuring better service and operational efficiency. The study underscores the practical benefits of BiLSTM in handling complex, dynamic passenger flow data.
Research on traffic signal cycle optimization based on Webster algorithm
Authors: Liang Yuyan , Zhang Qiqi , Wang Zhongchao
Published: November 2024

This study by combining data cleaning, clustering analysis and signal timing method, Webster to famous scenic town traffic control provides a scientific and efficient solution. By removing the missing license plate numbers and abnormal data in the open source data set, the processed data were visualized and analyzed. The cluster analysis was used to divide the peak period of traffic flow, the statistics of the traffic flow period data, the Webster method was used to optimize the timing of traffic lights, and the service level model was established to analyze the results. It was found that it could effectively improve the traffic efficiency. Ease traffic congestion. This research is not only of great significance in theory, but also has application value in actual traffic management, showing its innovation and practical value. The future research of algorithms and to further explore the more advanced technology, to achieve more accurate and efficient traffic flow control.
Short-Term Urban Rail Passenger Flow Prediction using TCN-LSTM Model
Authors: Li Junze
Published: November 2024

Predicting short-term passenger flow in urban rail transit systems is crucial for efficient operation and management. The TCN-LSTM model, which combines Temporal Convolutional Networks (TCNs) and Long Short-Term Memory (LSTM) networks, offers a robust solution for this task. TCNs provide an expansive receptive field, enabling the model to capture long-range dependencies and trends in passenger flow data. Meanwhile, LSTMs are adept at handling sequential data, refining the temporal features extracted by the TCN layers to account for short-term dependencies and fluctuations. This hybrid approach leverages the strengths of both architectures, resulting in a model that can accurately predict passenger volumes, accommodating regular traffic patterns and sudden changes in rider behavior. The implementation of the TCN-LSTM model in urban rail transit systems leads to optimized train schedules, improved service efficiency, and enhanced passenger experiences. By enabling more dynamic and responsive transit management, this model plays a pivotal role in addressing the challenges of modern urban transportation.
Reliability Analysis on Truck Based on Weibull Distribution
Authors: Xie Xiaochi
Published: November 2024

The article addresses the shortcomings in reliability analysis and modeling between various subsystems in a certain type of truck. By organizing and analyzing the failure data of each subsystem, the reliability modeling of the entire vehicle and its subsystems is established based on the Weibull distribution. After that, using hypothesis tests: linear correlation coefficient tests and D-tests to evaluate the parameter estimation structure. Additionally, the paper discusses the importance of each subsystem within the overall vehicle model and conducts failure analysis and failure classification evaluation. The reliability analysis of this truck reveals that, in terms of importance, the frame has the greatest impact on the overall vehicle reliability. In terms of failure analysis, the clutch and the reducer present a higher degree of failure hazard to the vehicle system. The findings of this paper provide essential research methods and references for subsequent discussions and analyses of this type of truck.
Guiding Master Students in Computer Science to Value and Strive to Learn Mathematics through the Text Information Processing and Machine Translation Teaching
Authors: Wu Honglin , Liu Ying
Published: November 2024

Mathematics plays a crucial auxiliary role in the research work of master's students. Currently, a significant portion of master's students have received insufficient mathematical training during their undergraduate studies. The course "Text Information Processing and Machine Translation" is a required course for postgraduate students majoring in computer science at Northeastern University. In the past few years of teaching this course, we have integrated content to guide master's students to attach importance to mathematics and strive to learn it. This paper outlines the content related to guiding master's students in computer science to strive in learning mathematics within the course "Text Information Processing and Machine Translation." We aim to provide an opportunity for master's students, who may not have had sufficient exposure to mathematics during their undergraduate studies, to reassess and place greater importance on mathematics learning. Several years of practice have shown that our approach has been effective.
Optimal Design Problem of Dragon Dance Team Path Based on Rotation Matrix
Authors: Lu Xinghan
Published: November 2024

In this paper, an accurate collision detection method is proposed for the collision problem during the traveling of the traditional event - Bench Dragon Dance Team. It needs to consider the collision problem when the Bench Dragons are traveling, but the existing literature has not provided an effective detection means for this specific model. Through geometric analysis, this paper reveals the mechanism of collision occurrence, models the dragon body approximately as a rectangle, and utilizes the rotation matrix transformation for collision detection. In order to further improve the detection accuracy, this paper adopts an iterative search algorithm to optimize and calibrate the model. This paper analyzes the critical termination moment, at this moment, the Dragon Dance Team cannot continue coiling along the isometric spiral. With this model, collisions among the benches can be accurately predicted and avoided. Eventually, when the time t = 566.2 s, the Dragon Dance Team's coiling-in maneuver is completed, and no collision occurs between the benches, at which time the coordinates of the dragon's head position are (0.01, -3.42). The model proposed in this paper effectively solves the collision problem during the traveling process of the bench dragon, and provides a scientific collision detection method for similar scenarios.
ANTIMICROBIAL SUSCEPTIBILITY PROFILE OF STAPHYLOCOCCUS AUREUS ISOLATED FROM SALAD SAMPLES
Authors: ABDULLAH . , AMIN FU , HASSAN N , KHAN FA , MOHAMMAD Z , DILAWAR S , BAKHTIAR M , UMER M , MEHMOOD K , BASHIR K
Published: November 2024

Salad vegetables are consumed without heat treatment therefore the possibility of food-borne illness is more. Salad can get contaminated with pathogenic microorganisms during growing in the field, harvesting, handling, processing, and distribution. Staphylococcus aureus is one of the most adaptable human pathogens. It can cause a range of illnesses from minor skin infections to life-threatening diseases.  The present study was conducted for the isolation of Staphylococcus aureus from salad vegetables from different restaurants in Peshawar. For this purpose, a total of 30 salad samples were collected from different local restaurants located in Peshawar. The samples were diluted in peptone water and inoculated on a Mannitol Salt Agar medium.   The S. aureus was confirmed by biochemical tests. 17 samples out of 30 were confirmed positive for S. aureus. The positive samples were then checked for antibiotic susceptibility with antibiotics CLR, FOX, NV, LZD, and VA by inoculating on an agar plate. In positive samples, 47.05% to resistant to NV, 35.29% to LZD, 29.41%) to CLR, 23.52 % to VA, and 17.64% MRSA were detected. A high level of sensitivity of 64.70% was shown by FOX and LZD. Out of 30 samples, 29.98% (average) resistance was noted against 5 antibiotics which indicated a low level of hygienic condition applied during salad making, handling, and processing.  Our study concluded that S. aureus was present in salad vegetables of different restaurants in Peshawar. MRSA was also detected in RTE salad during the present study. Further molecular research is needed for the identification of MRSA and VRSA genes.
DETERMINATION OF ABNORMAL HIP ANGLES IN NEONATES BORN WITH RISK FACTORS FOR DEVELOPMENTAL DYSPLASIA OF HIP (DDH)
Authors: REHMAN SU , HAYAT S
Published: November 2024

Developmental Dysplasia of the Hip (DDH) is a disorder in which parents and doctors can treat the hip joint abnormally in a wide range, from a level of mild ace-tabular dysplasia to the complete displacement of the femoral head from the acetabulum. Thus, the identification of neonates with any possible hip angle abnormality in subjects with risk factors is critical to providing early intervention to eliminate complications like altered gait patterns and osteoarthritis in later years. Objective: The objective of this investigation is to measure hip angles in neonates with risk factors associated with DDH and assess the frequency of abnormal hip angles utilizing ultrasonography. Methods: This was a prospective design study performed in the Department of Orthopedics, Khyber Teaching Hospital, from 21st July 20224 till 21st October 2024. In all, 146 neonates with at least one perceived risk factor for DDH were recruited into the study within six months. Hip ultrasound was performed on all the participants to evaluate alpha and beta angles defining the ace-tabular index and femoral head coverage respectively. Results: 146 neonates were enrolled in the study, mean gestational age was 38.5 ± 1.2 weeks, mean birth weight was 3.25 ± 0.45 kg; 91 (62.3%) neonates were female and 55 (37.7%) were male. A total of 292 hips were assessed by ultrasonography and were graded based on the Graf system. Of these, 201 hips (68.8%) were of Type I (normal), 52 hips (17.8%) of Type II (immature), 16 hips (5.4%) of Type III (dysplastic) and 9 hips (3.1%) of Type IV (dislocated). Conclusion: This research encourages risk-based triage and underscores the need for continued awareness amongst clinicians about the need to diagnose and treat at-risk newborns before complications from DDH ensue; although the incidence of DDH in different populations is not the same.
Peran Strategis Kepala Sekolah dalam Perencanaan dan Implementasi Projek Penguatan Profil Pelajar Pancasila
Authors: Yani Nurmaningsih , Febrina Rifka , Hutabarat Rinto , Asmendri Asmendri , Sari Milya
Published: November 2024

The values of Pancasila in the project include faith, diversity, mutual cooperation, independence, critical thinking, and creativity, with the school principal playing an essential role in guiding and managing the learning process. This study focuses on the principal's key role in planning and implementing the Pancasila Student Profile Strengthening Project at State Senior High School 1 Sawahlunto. The research employs a descriptive qualitative approach with a case study method. Data was collected through in-depth interviews, direct observation, and document analysis. Data processing involved condensation, presentation, and drawing conclusions. To ensure accuracy and reliability of the information, source triangulation was conducted. The findings indicate that the planning phase includes forming a facilitator team, identifying school readiness, organizing dimensions, themes, and time allocation for the Pancasila student profile strengthening project, creating project modules, and designing reporting strategies. In the implementation phase, each class follows the learning activities based on the assigned themes and projects, with the principal collaborating with the community, local organizations, and industries to support learning. This activity positively impacts the development of students' character, aligned with Pancasila values.
Social Media Users Response to the Chinese Spring Festival Gala--A Case Study of 2024 Dragon Years Spring Festival Gala in Weibo
Authors: Chen Yuwen
Published: November 2024

Abstract: As getting into Web 2.0, social media as a way of constant interaction is popularizing, with users discussing events that are related to their lives on social media. Spring Festival Gala (SFG), as an annual event on the last day of the lunar Chinese year, is of significant meaning. This paper uses content analysis, choosing the case of 2024 Dragon Years Spring Festival Gala, analyzing netizens responses and evaluations on Weibo, to discuss how netizens respond to this years Spring Festival Gala. This study is helpful in exploring the audiences acceptance of the SFG through social media, as well as the causes of different responses, to make suggestions and provide considerations for improving the SFG in the future. Stuart Halls theory is used as the framework to classify the responses from netizens, which are dominant reading, negotiated reading, and resistive reading. As a result, this paper argues that the dominant reading demonstrates the identification of cultural confidence, Silk Road diplomacy. Negotiated reading demonstrates a kind of stress for the present and uncertainty for the future.
Research Status of Traditional Chinese Medicine in the Treatment of Breast Cancer
Authors: Li Sizhuo
Published: November 2024

Breast cancer is a malignant tumor. It has high morbidity and mortality rates and is prone to metastasis and recurrence. At present, surgery, radiotherapy, chemotherapy and endocrine therapy are mainly used in clinical practice, but these methods are more damaging to the patient's body and are prone to toxic side effects. In recent years, with the continuous progress of precision treatment, traditional Chinese medicine has gradually emerged as an important approach in the management of breast cancer. This article is to review the research progress of traditional Chinese medicine in the treatment of breast cancer in recent years, including its treatment methods, mechanism of action, and clinical trial efficacy. Research has shown that traditional Chinese medicine has its unique advantages in treating cancer. Specifically, it can combine its advantages in disease differentiation, syndrome differentiation, and staged treatment with the individualized treatment needs of modern medicine. It can improve the clinical symptoms of patients, enhance the immune function of the body, and delay or prevent the development of diseases.
Examining the relationship between ultra-processed food consumption and obesity: A comprehensive review
Authors: Chang Zhi , Mao Chao
Published: November 2024

Abstract. This research investigates the relationship between the consumption of ultra-processed foods (UPFs) and obesity by analyzing seven studies, including both cross-sectional and longitudinal designs. The NOVA classification framework is employed to distinguish foods based on their degree of processing, with particular attention given to the adverse health outcomes associated with UPFs, which are characterized by high sugar, fat, and salt content, and low nutritional value. This review also explores potential mechanisms by which UPFs contribute to obesity, including their nutrient composition, impact on satiety, and behavioral factors related to their consumption. The findings indicate that measures should be taken to reduce UPF consumption and encourage healthier dietary habits to combat the global obesity epidemic.
The role of the hippocampus in memory formation and consolidation
Authors: Liu Zixiu
Published: November 2024

Abstract. The hippocampus is one of the most well-studied areas in the brain. After the studies on Henry Molaison (H.M.) and rodent model confirming its role in memory formation and consolidation, its anatomical, physiological, and psychological characteristics in memory processing have been studied for a long time. The framework of its role in memory processing is continuously building up from the synapse level to the system level. Current studies are working on enriching the detail of the blueprint and confirming whether the framework can explain results recording from new techniques. This review will introduce the physiological, theoretical mechanism of memory formation and consolidation in the hippocampus with results from current studies. In addition, it will also discuss the current process of framework, suggest some limitations that these studies face, and give a comprehensive view of the role of hippocampus functions in memory processing after the study of H.M. Future studies should incorporate longitudinal designs to understand the developmental trajectory of hippocampus and its role in cognitive development.
Overview of Achilles Tendon Injury Treatments
Authors: Chen Yang
Published: November 2024

Achilles tendon injuries, common among athletes and individuals engaged in high-impact activities, present significant challenges in both diagnosis and treatment. This article describes the Achilles tendon as a whole, the nature of related injuries, and how they are diagnosed and treated and how they are diagnosed, often magnetic resonance imaging (MRI) and ultrasound play crucial roles in differentiating the severity of these injuries. Treatment approaches range from non-surgical options, like functional bracing and physical therapy, to surgical interventions necessary for complete ruptures. Emerging biological therapies, it includes Platelet-Rich Plasma (PRP) and stem cell tech, show promise in enhancing recovery, though another research is needed to confirm their years effectiveness. Additionally, preventive measures and personalized rehabilitation programs are emphasized as essential strategies for reducing the incidence of Achilles tendon injuries and ensuring effective recovery. The paper concludes by discussing the future direction of treatment modalities, highlighting the potential of advanced technologies and therapies in improving patient outcomes.
Understanding the evolution of domestic dogs
Authors: Zhang Zhihan
Published: November 2024

This article discusses the process of domestication, and the outcomes of domestication, and the evolutionary history of dogs. The essay also describes the processes that led to the evolution of domestic dogs and investigates the causes of the enormous variety of dog breeds. This research shows the complex interactions between humans and dogs throughout the history by analyzing genetic, and social aspects. It also provides insights into how this special relationship has formed the diversity of breeds that exist today. Additionally, the article provides a detailed examination of the Chinese Village Dog, an indigenous breed of China, highlighting its unique evolutionary pathway, genetic diversity, and cultural significance. Through the analysis of ancient texts and archaeological findings, this research sheds light on the longstanding relationship between Chinese Village Dogs and human communities, as well as the ongoing challenges and conservation efforts aimed at preserving indigenous Asian dog breeds.