bluuebunny/crossref_metadata_2025 huggingface dataset:
Survey and Analysis of Primary School Teachers' Use of Generative Artificial Intelligence
Authors: Liu Lihua
Published: November 2024

In the wave of generative artificial intelligence (GenAI) applications in education, the current status and attitude of primary school teachers towards the use of GenAI have not yet been fully studied. This study surveyed 78 primary school teachers through an online questionnaire to reveal their understanding level of GneAI, the usage of GenAI, their views on GenAI applied in education, and expectations for future applications of GenAI. The results show that most teachers have some understanding of AI, but less knowledge of GenAI. Despite this, almost all teachers agree that GenAI plays a positive role in assisting teacher teaching and promoting student learning, and they hold an optimistic attitude towards its application prospects. There are differences in the degree of use of GenAI by teachers of different ages and young teachers are more inclined to use AI. Teachers of different identities have different preferences for the content of GenAI-assisted work. Liberal arts and science teachers prefer intelligent search and intelligent homework correction, while art and physical education teachers and middle and senior teachers prefer personalized teaching and personalized assessment. Finally, the author recommends relevant departments strengthen the use of AI in primary education, develop practical teaching and assessment systems, and paying attention to the resource management and protection.
Research on the Application of Artificial Intelligence in Mental Health Literacy Service for Middle School Students
Authors: Cui Qize
Published: November 2024

Artificial Intelligence (AI) is applied to improve the mental health literacy of middle school students. It can effectively improve the efficiency, effectiveness and feasibility of this service. Through the current big data analysis and machine autonomous learning technology, AI can analyze the characteristics of students' behavior patterns and physiological data by training the model used. This paper examines how artificial intelligence can improve the mental health literacy of middle school students. It begins by analyzing and interpreting three key factors that influence their understanding of mental health. Firstly, it analyzes and interprets the three factors that affect the mental health literacy of middle school students. Then from these three factors, the author discusses how artificial intelligence can be applied to enhance the mental health literacy of middle school students. That is to say, it puts forward the new application of artificial intelligence technology in mental health counseling, emotional recognition, mental health assessment, media publicity and education. For example, the use of artificial intelligence to develop virtual psychological teachers, through language processing analysis and emotional recognition to provide online counseling services; It develops emotion recognition function through video and speech analysis of artificial intelligence, and uses digital signal processing means. Through the comprehensive analysis of a large number of data, the mental health evaluation system is gradually intellectualized, so that the evaluation model standard is more targeted.
Research on the Status Quo of Generative AI Tools Used by Pre-service Teachers
Authors: Seng Zhenming
Published: November 2024

Through excellent text generation ability and rich knowledge reserves, generative AI has been widely discussed among pre-teachers in the past two years, and the analysis of the status of generative AI tools is particularly important. This study of 280 Chinese Qingdao University teachers questionnaire is analyzed, discusses the pre-professional teachers use the main scenarios, influencing factors of artificial intelligence, the view of former teachers use generative artificial intelligence tools on self-efficacy, and generative artificial intelligence tools for pre-service teachers cause certain anxiety. The following conclusions are drawn: generative artificial intelligence tools have improved the learning and teaching of teachers to a certain extent, examples are improving the efficiency of lesson preparation, enriching course design, summarizing knowledge points, etc. However, it still needs to be strengthened in the course feedback and personalized analysis. At the same time, it can be preliminarily concluded from this study that if people want to promote the further widespread application of generative AI tools in the pre-service group of teachers, the accuracy and some ethical considerations of generative AI tools need to be addressed. This study provides insights into the nexus between the characteristics of generative AI influencing pre-service teachers.
The Effect of the Rise of Populism in South Korea on Its Governments Diplomatic Relations with Japan
Authors: Jin Yuqin
Published: November 2024

As a former colony of Japan, South Koreas relationship with Japan has always been ambivalent. South Korea did form an alliance with Japan through the alliance with the United States and a geopolitical situation, but tension remained due to historical grievances between the two countries. In recent years, populist South Koreans have demanded the government take a harsher stance towards Japan when addressing historical problems as they look for genuine apologies from Japan, challenging the governments approach when engaging with Japan. This paper, through case analysis, explores how populism shaped the foreign policy of the Korean government. This paper finds that the publics sensitivity towards Japans historical issues, combined with the political structure of South Korea, played a huge role in shaping their administrations interactions with Japan and verified existing theories regarding populisms role in foreign policies in the specific case of the Dokdo/Takeshima dispute.
A Review on Mobile-assisted Chinese EFL Learners Vocabulary Learning
Authors: Lin Zitong
Published: November 2024

Mobile technology's advent and booming development have unlocked promising possibilities for EFL learners to learn vocabulary supported by mobile devices. Thus, mobile-assisted vocabulary learning has attracted researchers attention and interest recently. This growing attention and interest have led to a demand for review studies. This research aims to examine research foci and major findings on mobile-assisted English vocabulary learning using a content analysis method based on combining literature. Most empirical research focused on exploring the effect of mobile applications on learners English vocabulary learning via mixed methods, while only a few studies tried to examine factors influencing learners performance of English vocabulary learning in a mobile context. Research confirmed the positive effect of mobile applications on learners English vocabulary learning; however, research related to influencing factors reported mixed findings. Theory-oriented research mainly included theorising various modes of mobile-assisted English vocabulary learning and explaining the ideas of how to design user-friendly and efficient mobile vocabulary learning applications. Diverse modes were explained by researchers, such as to send messages, to build a multimodal English vocabulary database, to reasonably using portable devices and to build an online interactive community. Four types of applications are occupying a dominant position, which are online dictionary applications, vocabulary learning applications matching paper textbooks, and word memorizing applications. Research also implied that mobile English vocabulary applications tend to be easy to use, personalizing, and gamifying. This study also provides some implications for researchers, teachers, and learners.
Exploring Emotional Transitions Triggered by Color Changes: A Multidimensional Analysis
Authors: Jiang Yifei
Published: November 2024

This study investigates the emotional responses triggered by color changes, utilizing both discrete and continuous video stimuli to explore the theory that color influences emotional states. Nineteen participants from the IHHSJF-30201 class were exposed to color pairs derived from the Berkeley Color Project 37 (BCP-37), specifically examining transitions between saturated and medium hues of red, blue, yellow, and purple. Through Spearmans Rho correlation analysis and differential emotion intensity measurements, the study evaluates how sudden versus gradual color changes affect emotional perception. Results demonstrate significant differences in emotional responses between the discrete and continuous color transition groups, highlighting the impact of transition mode on emotional dynamics. The findings support existing theories on the relationship between color and emotion and suggest the potential for personalized color applications to enhance user experience in digital interfaces. Future research directions include integrating machine learning techniques and expanding biometric data collection to further refine the understanding of color-emotion interactions and their practical applications.
The Gendered Impact of Deepfake Technology: Analyzing Digital Violence Against Women in South Korea
Authors: Cheng Xiangshu
Published: November 2024

Deepfakes are unrealistic videos generated by deep learning technology. While this technology has advanced social media, it has also emerged as a major tool for digital crime. Among them, gender crimes against women have a great impact. Videos generated by deepfakes are difficult to distinguish, resulting in the production and appearance of a lot of non-resource pornographic content. This will cause great trauma to women's psychology. Combining the research methods of current situation analysis and case study, this paper further analyzes the mechanism of deepfakes on the Internet and explores the role of women in cyber violence generated by deepfakes. This study found that the development of deepfakes is affected by different social regulations. Especially in societies with traditional gender roles such as South Korea, women's digital identities are severely restricted. Society lacks tolerance for female victims generated by deepfakes, and many women face social pressure. In order to effectively combat gender digital crimes, this paper puts forward some suggestions and discussions from the cooperation between governments and social organizations, schools and public education. From a legal perspective, cooperation and legislative measures among countries are the key to protecting women's rights. Countries should have deeper cooperation to prohibit the production and dissemination of deep fake content without consent. Although this article provides a lot of insights into the crimes generated by deepfake technology, it still has limitations. The study mainly focused on the Korean case, and future research should expand the scope of the different culture study.
Digital Inclusive Finance and Corporate Technological Innovation
Authors: Lu Yinghan
Published: November 2024

As digital technology develops apace, digital inclusive finance has appeared before people's eyes. Its emergence has brought new technological innovation power for enterprises and provided new opportunities for the economic high-quality development of the nation. This paper carries out theoretical analysis and empirical analysis, and draws the following conclusions: The advancement of digital inclusive finance has a pronounced impact on fostering corporate technological innovation and this effect has regional heterogeneity; Human capital stock and urbanization level play a mediating role in this process. Finally, policy recommendations are made accordingly: firstly, the government should invest more in digital inclusive finance; secondly, it should pay attention to the positive roles played by human capital stock and urbanization level in promoting technological innovation of enterprises.
Analysis of Mainstream Models Based on Deep Learning
Authors: Lai Zhien
Published: November 2024

Optical flow estimation is a hot topic that significantly impacts the development of the computer vision field, especially in pattern recognition. With advancements in artificial intelligence technologies, deep learning has seemingly opened up a new path for optical flow estimation. This paper focuses on four of the most influential deep learning-based models: the FlowNet series, the PWC-Net series, the RAFT series, and the SPyNet series. Each category includes representative models that showcase subsequent improvements. Firstly, this paper analyzes the neural convolutional network architecture and design of the basic models in each category. Following this, the optimization principles behind the improved versions of these models are explored. Finally, the strengths and weaknesses of these models by evaluating their Average Endpoint Error (AEE) results across various datasets are summarized. The paper concludes with an overall summary of the findings, providing insights into the progress and future directions of optical flow estimation in the context of deep learning.
Research on Diagnosis and Localization of Moles for Robotic Mole Removal Surgery Based on YOLO
Authors: Sun Yanhan
Published: November 2024

Surgical treatment is often considered the first choice for mole removal. Treatments such as laser mole removal are widely performed, but intraoperative navigation remains a significant challenge, relying heavily on the experience of surgeons. Additionally, when multiple moles are required to be removed, a more repetitive workload can occur in the surgical procedures. To address these issues, this study aims to achieve precise intraoperative navigation and to achieve modes of automatic diagnosis and localization for robotic mole removal surgery. By training the YOLO model on an open-source categorical mole dataset, this study achieves the automatic diagnosis and localization of the moles during surgeries. In the evaluation of the study, a precision of 0.839 and an average precision mAP of 0.862 which are at a high level are observed. This study verifies that the YOLO can play a critical role in enabling the automatic diagnosis and localization of robotic mole removal surgery.
PID Algorithm Based on PSO Realizes the Dynamic Stable Output of the Robot
Authors: Xuan Yonghao
Published: November 2024

This paper uses a PID controller based on a particle swarm optimization (PSO) algorithm to improve the control performance of the robot dynamics system. Although the traditional PID controller is widely used in industrial automation, its control effect is often insufficient in the face of nonlinear and coupled systems, especially when dealing with external disturbances and parameter changes. To solve these problems, the PSO algorithm is used to optimize the parameters of the PID controller, so as to improve the dynamic response, control precision, and steady-state performance of the system. According to MATLAB simulation experiments, compared with the unoptimized PID controller, the PSO-optimized PID controller significantly improves the response speed of the system, reduces the steady-state error, and enhances the robustness of the system. The results show that the PSO optimization algorithm has a wide range of application potential, not only for robot control systems, but also for complex control scenarios such as unmanned aerial vehicles and autonomous driving.
Research on Artificial Intelligence and Face Recognition
Authors: Yao Xiyun
Published: November 2024

With the rapid progress of artificial intelligence technologies, face recognition has emerged as a critical domain within biometrics. The primary objective of face recognition technology is to facilitate rapid identification and authentication of individuals by analyzing facial image features. This technology has been widely applied in various sectors, including security surveillance, financial transactions, education, healthcare, and more. This paper presents a comprehensive overview and analysis of contemporary face recognition methodologies, including geometric feature extraction, the combination of Wavelet transform and Principal Component Analysis (PCA) in artificial neural networks, elastic graph matching, Linear Discriminant Hashing (LHD), and Support Vector Machines (SVM). Through a comparative evaluation of these methods, this study clarifies their respective advantages and limitations. The findings indicate that face recognition technology basically consists of essential components such as face detection, image processing, feature extraction, feature comparison, and decision-making for recognition. Although there are similarities in the general workflow among different methodologies, each approach optimizes specific aspects to varying extents. As a result, every method has its own distinct strengths and weaknesses. Therefore, choosing the most suitable technique for practical applications usually depends on specific requirements and contextual conditions. X
Baking Duration Prediction and Management System Based on Image Features
Authors: Xu Feng
Published: November 2024

Research on the remaining time of tobacco baking is an important necessity and significance for optimizing tobacco production and processing process, improving tobacco quality and yield, saving resources and costs, and realizing intelligent production. This study devised an innovative Tobacco Leaf Baking Duration Prediction and Management System, capitalizing on the profound capabilities of image processing and machine learning algorithms. The focal point of this system is the precise prediction of the baking duration vital for tobacco leaves, which subsequently affects the color development and aromatic properties of the final producta determinant of quality. Utilizing the ResNet model, renowned for its proficiency in image processing, this study meticulously analyzed the coloration changes during the baking cycle. This rigorous analysis, deployed through the pre-trained model, facilitated the accurate prediction of baking times, tailored to optimize the tobacco leaves' quality. To further enhance the practical application of the system, this study incorporated a dataset embellished with varied tobacco leaf images collected at strategic intervals within the baking timeline. This dataset was pivotal in training and validating the model, ensuring its adaptability and accuracy in real-world scenarios. To complement the front-end strengths of the system, this study integrated a user-friendly web-based graphical interface.
Analysis of the Impact of Talent Introduction Policies on Urban Development Based on a Multi-Period Difference-in-Differences Model: A Case Study of the Yangtze River Delta Urban Agglomeration
Authors: Zheng Yi
Published: November 2024

Since the beginning of the new century, the process of globalization has deepened, prompting local governments to implement talent introduction policies to maintain sustainable urban development. Focusing on 27 cities in the Yangtze River Delta region, this study collects talent introduction policy texts and panel data from 2000 to 2010. Using Latent Dirichlet Allocation (LDA) for topic mining on text data, five main topics are identified: talent structure, industrial development, scientific and technological expenditures, financial development level, and innovation and entrepreneurship. To investigate the impact of talent introduction policies on these five topics and the overall level of urban economic development, this study uses the talent introduction policy as a quasi-natural experiment. Empirical analysis is conducted with a multi-period difference-in-differences (DID) model and double machine learning to explore the intrinsic mechanisms by which these policies empower urban economic development. The results reveal that: (1) Talent introduction policies have significantly promoted urban economic development, and this conclusion remains robust after a series of tests; (2) These policies indirectly boost urban economic development by enhancing financial development efficiency and increasing educational expenditure; (3) The economic growth-promoting effects of talent introduction policies are more evident in provincial capitals or municipalities, eastern cities, and cities with "211 Project" universities; (4) Talent introduction policies positively impact scientific and technological expenditures and innovation and entrepreneurship, negatively impact industrial structure, and have no significant effect on talent structure and financial development level. This study confirms the necessity of talent introduction policies since the beginning of the new century and provides recommendations for their continued implementation.
A Study on the Mechanism of Corporate Social Responsibility-Oriented Human Resource Managements Impact on Employees CSR-Specific Performance
Authors: Guo Hao , Yan Aimin , Chen Shige
Published: November 2024

Based on the AMO theoretical framework, this study examines whether and how corporate social responsibility-oriented human resource management (CSR-HRM) influences employees CSR-specific performance. Drawing on 331 employee questionnaires collected at two time points, the findings reveal that CSR-HRM positively impacts employees CSR-specific performance. Furthermore, CSR-HRM enhances employees CSR-specific performance through three mechanisms: increasing moral efficacy, fostering prosocial motivation, and promoting an organizational CSR climate.
CASES MANAGEMENT OF MYOPIA ASTIGMATISM WITH PRESBYOPIA AFTER CATARACT SURGERY
Authors: Tanoto Dian felita , Simarmata Murni Marlina , Doringin Ferry
Published: November 2024

Introduction: The eyes are an important organ in our body. If our vision function is disturbed, it will have an impact on reducing a person's quality of life. Decreased visual acuity can be caused by refractive errors consisting of hypermetropia, myopia and astigmatism. In several cases in previous research, it was found that a person did not only have one type of refractive error. However, it is very possible for someone to have a combination of refractive errors and even other diseases such as cataracts, glaucoma, etc.
Purpose : To formulate appropriate treatment for clients with myopia astigmatism presbyopia after cataract surgery.
Case report: A 62 year old man came to the Refractive Unit with the main complaint that his old glasses were uncomfortable and he felt dazzled by the size of his old glasses. With AVOD correction results: SC 6/7.5 C-1.00 X80 ADD +3.00 CC 6/6 and AVOS: SC 6/60 S-0.50 C-3.50 OD has never had cataract surgery, the lens is still clear. OS had cataract surgery and IOL implantation. ODS appears Floater after surgery. OS sometimes feels glare from the left since the operation. OD is more comfortable when looking far away, whereas OS is more comfortable when looking up close. The client's diagnosis is OD Astigmatism Myopia simplex with presbyopia and OS Astigmatism Myopia composites with presbyopia. Then the client is given glasses with progressive lenses.
Conclusions: The client was given progressive lens glasses with a glasses prescription that was appropriate to the complaint after cataract surgery. And the appropriate type of lens is given to overcome the glare felt by the client.
Therapy in Focus: Global Perspectives on Rehabilitation and Healing
Authors: Bashir Bushra
Published: November 2024

Historically, healing practices vary widely across different cultures in different countries. From ancient herbal remedies to early forms of physical therapies. With the complexities of modern life, diverse cultures and countries face unique challenges, so it’s essential to share knowledge and best practices globally.
In the 20th century in formalizing therapeutic approaches significant strides were made. The advent of psychotherapy, physical therapy, and occupational therapy created a new era in rehabilitation, scientific inquiry, and evidence-based practice. After this multidisciplinary approach, professionals from different fields began collaborating more closely to address complex health issues. Rehabilitation involves a structural program to help people in a broader way that includes restoring health, regaining skills, disease prevention, treatment, and palliative care. An estimated 1 in 3 people living with a health condition would benefit from rehabilitation [1].
Today, therapies encompass a broad spectrum of practices. Physical therapy improves movement and function through exercise and manual techniques. Occupational therapy helps individuals to develop daily living and working skills. Psychotherapy targets mental health challenges by exploring emotions, behavior, and thoughts.
In many low and middle-income countries, over 50% of the population is left without access to essential rehabilitation services. In Western countries, there is a strong emphasis on evidence-based approaches and specialized care. But now many non-western countries also apply modern therapeutic methods with traditional healing practices. Advancements in the field of technology transformed the field. Digital tools like applications and virtual reality are being increasingly utilized to enhance therapeutic interventions.
Looking ahead, the future of therapy is poised for many transformative changes. The integration of machine learning promises and artificial intelligence, offering personalized treatment plans and improving the outcome predictions. The overall goal of rehabilitation is to help people to get their abilities and regain independence.
In conclusion, therapy's journey from its historical roots to its current form has been marked by advancements in growing global perspectives. Rehabilitation is an important part of health coverage globally. The need to extend the availability of essential rehabilitation is urgent and careful attention needs to be given to the system that delivers rehabilitation services. The ongoing advancement and innovation in the field of technology promise to enhance therapeutic practices and improve lives on a global scale.
PATIENTS OPERATED ON FOR CHIARI MALFORMATION TYPE 1: A 10-YEAR EVALUATION
Authors: KIN YAS , Z FAT , Z EROL , R ZG , kuyucu yunus
Published: November 2024

Aim: The present study aimed to evaluate patients operated on for Chiari Malformation Type 1 (CM1) and contribute to the literature regarding potential complications.
Materials and Methods: CM1-operated patients from 2012 to 2022 were retrospectively evaluated in this single-center study.
Results: The mean age of the 14 patients, aged between 5 months and 59 years, was 36.39. The postoperative length of intensive care unit stay was 2.57 days, and the hospital length of stay until discharge was 10.93 days. The mean amount of cerebellar tonsil herniation in our patients was 13.36 mm. The female-to-male ratio was 1. Syringomyelia was detected in 78.6% of our patients. 13 of the 14 patients were discharged in good condition, and one died in the postoperative period.
Conclusion: The presence of syringomyelia besides tonsillar herniation in patients with CM1 has stood out as a valuable parameter in the decision to operate. Although headache is the most common symptom in symptomatic patients, the possibility of atypical symptoms should also be acknowledged. Patients operated on for CM1 should be closely monitored in the postoperative period for potential complications.
Utility of Blood Pressure Recovery Ratio after Exercise Test to Estimate the Possible Increased Carotid Intima Media Thickness in Patients with Metabolic Syndrome
Authors: Kaypakl Onur , Bekler zkan , Kayal Alperen , Akku O , Kele Fatma
Published: November 2024

Background: Abnormal blood pressure (BP) recovery after physical exercise is related with coronary artery disease, impaired left ventricular diastolic function and pulse wave velocity.
Aim: We aimed to evaluate the relation of BP recovery ratio (BPRR) and carotid intima media thickness (CIMT) in patients with metabolic syndrome.
Methods: Among patients who had negative elective exercise test, 109 patients with metabolic syndrome (MetS) were included (65 males, 44 females; mean age 54.8±8.3 years) in our study. Study population were divided into two groups as low carotid IMT (CIMT≤0.9) and high carotid IMT (>0.9). The BPRR was computed by dividing the third minute systolic BP (SBP) by the peak exercise systolic BP.
Results: The BPRR was 0.88 and 0.91 in the low and high carotid IMT group, respectively (P=0.008). Patients in increased carotid IMT group had lower values of septal e′, higher creatinine values and higher rates of statin use (P<0.05 for all). BPRR was positively correlated with carotid IMT (r=0.251, P=0.009). Statin use (OR = 5.754, P<0.001) and BPRR (OR=3.036, P=0.008) were found as independent predictors of increased carotid IMT. Every 0.1 unit increment in BPRR was found to correspond to 203.6% higher risk for increased carotid IMT. The cut-off value of BPRR was 0,921 for predicting increased carotid IMT. The area under the curve (AUC) was 0.634 (P=0.018).
Conclusions: We found a strong correlation between BPRR and carotid IMT. BPRR and carotid IMT, when performed together, may improve their predictive ability for detecting the patients with high CV risk.
Anterior belly of Digastric transfer: New treatment modality for adults with congenital hypoplasia of depressor anguli oris
Authors: Ghumman Dr , Saleem Dr , Afzal Dr , Abidin Zain , Asif Dr , Aslam Dr
Published: November 2024

Background. Among many causes of asymmetrical smile in newborns, congenital hypoplasia of the depressor anguli oris muscle (DAO) is among rare ones. This asymmetry may continue to adulthood, as many patients may present with varying degree of smile animation discrepancies.
Methods. This case series comprises of 05 patients with congenital hypoplasia of depressor anguli oris muscle. These patients were not associated with other syndromes, congenital anomalies or paralysis of other branches of facial nerve. All were operated with the anterior belly of digastric mucle transfer (ABDMT).
Results. After mean follow up of 12 months, satisfactory outcomes were accomplished in all patients with all exhibiting improved symmetry during full mouth opening.
Conclusions.ABDMT proved to be most reliable method for restoration of depressor function which lead to excellent aesthetic and functional animation of lower face.
An unusual case of penile strangulation by a metal ring in an adult patient: Presentation and management
Authors: Iqbal Yasir , Azad Muhammad , Azam Muhammad , Ashraf Raza
Published: November 2024

Penile rings are devices used to sustain an erection by restricting the outflow of blood from the cavernosal tissue. However, prolonged use can lead to complications such as penile ring entrapment. We report a rare clinical case of penile strangulation by a metal ring in a 27-year-old male, who initially presented to a local clinic. Despite the removal of the ring using a bone cutter, he developed pain and skin necrosis requiring extensive management in a collaborative multidisciplinary approach, involving plastic surgery, urology, and emergency medicine departments. This case underscores the need for timely intervention and a multidisciplinary approach to address the challenges and complications arising from penile strangulation.
Quality of Life after Pharyngeal Flap Surgery in Cleft Palate Patients with Velopharyngeal Insufficiency
Authors: Akbar Hira , Aslam Ayesha , Ahmed Maheen , Aman Sameena , Saleem Nousheen , Mehmood Mehwish
Published: November 2024

Background : Velopharyngeal Insufficiency (VPI) leads to hyper-nasal speech in children, often associated with cleft palate. Surgical corrections such as pharyngeal flap surgery aim to enhance speech and quality of life (QoL). The VPI effect on life outcome (VELO) questionnaire evaluates VPI's impact on QoL. This study examines post-surgery QoL changes, VELO validation, and the association between VELO results and speech intelligibility to better understand VPI surgery outcomes.

Methodology: This prospective cross-sectional study was conducted at Fauji Foundation Hospital Rawalpindi from July 2022 to January 2024. Using the VELO instrument, we assessed children and young adults undergoing pharyngeal flap surgery for VPI. The outcomes focused on comparing pre and postoperative VELO scores and perceptual speech measurement, alongside correlating VELO scores with speech intelligibility.

Results: Fifteen patients (6 males, 9 females) with an average age of 12.2 (±3.8) years underwent pharyngeal flap surgery for VPI. There was a significant decrease in preoperative speech intelligibility postoperatively (P < .000). Post-surgery VELO scores showed improvement, with caregiver impact remaining unchanged. A strong correlation was observed between speech intelligibility and VELO scores, emphasizing the surgery's positive influence on VPI patients’ speech.

Conclusion: The pharyngeal flap surgery notably improves the specific QOL for VPI.
Expertise and Deceptive Movements in Sport
Authors:   , Raffan Ryan Phillip
Published: November 2024

Deception plays an important role in disrupting the anticipatory abilities of an opponent during time-constrained interactive motor tasks. Research interest in deception in sports has amplified in recent years, with particular interest in the underlying mechanisms for expert anticipation of deceptive actions. However, a new conceptual framework for the definition of deception in sport had to be established to clarify what deception is and how different approaches are used by actors to disrupt the anticipatory abilities of observers.
Using this new conceptual framework, three studies were conducted to examine the influence of motor resonance of deceptive actions of expert performers on the action understanding of others. The first study investigated whether the ability to perform a deceptive action would be related to the ability to perceive the same action and vice versa. The results revealed that skilled performers better anticipate the action outcomes of highly deceptive actions and were more sensitive at discriminating deceptive from non-deceptive actions than that of less-skilled performers. Additionally, skilled performers produce actions that appear to be better disguised than those of the less-skilled performers.
The second study investigated whether individuals were better able to anticipate the outcome of their own deceptive actions than others were. Results revealed that players were no better at anticipating the outcomes of their own actions than others were. Instead, the response behaviour of the individuals viewing their own actions was indistinguishable from that of others viewing the same actions.
The third study investigated whether the perception of deceptive actions would be enhanced following physical motor training of the same deceptive actions, and whether the improvements following training would transfer into an in-situ scenario. The results revealed improvements for the training group in anticipatory performance and sensitivity at discriminating deceptive from non-deceptive actions, but the transfer effects to an in-situ scenario were not evident.
This thesis has provided a new conceptual framework for the definition of deception in sport and empirical evidence that the motor resonance of deceptive actions of skilled performers can influence the action understanding of others. Furthermore, recommendations for enhancing the action understanding of deceptive actions are presented for practical implementation and future research.
Âhiret Hayatı Felsefî Açıdan Temellendirilebilir mi? İbn Hindû’nun Eskatoloji Öğretisi
Authors: Çekmece Nisanur
Published: November 2024

Ruhun/nefsin ölümsüzlüğü ve insanın ölüm sonrası varlığının mahiyeti hem din hem de düşünce/felsefe tarihinde ele alınan temel konuların başında gelmektedir. Antik-Helenistik felsefe-bilim geleneğinden, özellikle de Aristoteles’ten (ö. 322 MÖ) tevarüs edilen nefsle ilgili teorik çerçeve, İslam dininin âhiret hayatına dair güçlü vurgusunun da eşliğinde İslam felsefe geleneğinde ayrıntılı bir şekilde işlenmiş ve derinleştirilmiştir. Âmirî (ö. 381/991) ve İbnü’l-Hammâr’ın (ö. ykl. 410/1019) talebesi, İbn Miskeveyh (ö. 421/1030) ve İbn Sînâ (ö. 428/1037) gibi önde gelen filozofların çağdaşı olan İbn Hindû (ö. 423/1032) başta tıp olmak üzere felsefenin çeşitli alanlarına dair kaleme aldığı eserlerle önemli bir konumda bulunsa da İslam felsefesi tarihinde gölgede kalmış bir isimdir. Onun çalışmaları içinde küçük hacmine rağmen hem başlığı hem de içeriği itibariyle belki de en dikkat çekici eseri, âhiret hayatını felsefî açıdan temellendirmeyi hedefleyen Makâle fî vasfi’l-me‘âdi’l-felsefî’dir. Gazzâlî’nin (ö. 505/1111) filozofları tekfîr ettiği üç meseleden biri olması sebebiyle İslam felsefesi çalışmalarında önemli bir konuma sahip olan bu mesele, daha ziyade Fârâbî (ö. 339/950) ve İbn Sînâ’nın öğretileri etrafında tartışılsa da İbn Hindû’nun bu eseri, meseleye yeni boyutlar kazandıracak bir mahiyete sahiptir. Bu makalenin amacı, İbn Hindû’nun risalesindeki çerçeveyi takip ederek onun nefsin mahiyeti, türleri, aklî/insanî nefsin bedenle ilişkisi ve bedenin ölümü sonrasındaki muhtemel durumlara dair yaklaşımını ortaya koymak, muhtemel kaynaklarını tespit ederek İslam felsefe geleneğindeki konumunu belirginleştirmektir.
Aşk Üzerine: Platon’u Jacques Lacan’la Okumak
Authors: Güler Meltem
Published: November 2024

‘Aşk nedir?’ sorusu, binlerce yıldır şairleri ve filozofları meşgul etmiştir. Aşkı yalnızca erdemlerini yücelterek övülen bir mucize olarak görmek mi, yoksa ardından çekilen acıyı ve çaresizliği dile getirerek acımasızlığını ve yanılsamalarını ifşa etmek mi? Aşk’ın ‘ne’liğine dair bu sorulara yanıt arayan bazı psikanalistler de ozanların ve felsefecilerin izinden gitmişlerdir. Lacan, aşkı ayrıntılı bir biçimde ele aldığı Seminer VIII’de (Transference -1960-1961), bu sorulara yanıt aramak için Platon’un Sempozyum (Συμπόσιον) metnini seçmiştir. Lacan, bu metni seçme sebebini açıklarken analitik pratiğin başlangıcında aşk olduğunu hatırlatır. Bu nedenle de Lacan Sempozyum’u (Şölen) bir tür psikanaliz seansı olarak ele alır ve aktarımı aşk gibi bir şey olarak tanımlar. Aktarım, aşkı sorgulayan bir şeydir; analitik düşüncenin bakış açısından, aşkın temel bir boyutu olarak ‘ikirciklilik’ olarak bilinen şeyi ortaya çıkaracak kadar derinlemesine sorgular. Bu tam da Sempozyum’da yer alan diyaloglarda gerçekleştirilen şeydir. Diyaloglardaki aşk tartışmasının biçimi, esasen aşkın özüyle yakından bağlantılıdır; ‘aşk’ adeta diyaloglardaki geçişlerden, iniş-çıkışlardan ve paradokslardan oluşur. Bu makale, Platon’un Sempozyum’unu Lacan’la birlikte okuyarak ve Sempozyum’daki tüm konuşmacıları sırasıyla ele alarak aşkın farklı yüzlerini ortaya koymakta, aşkın doğası ve ne olduğu meselesini psikanalitik teoriyle tartışmaktadır.
Experimental Investigation on SS202 using Tubular and Double D Tubular Electrode Tool in Electrical Discharge Drilling Machining
Authors: Manikandaprabu Pandiyan , Saravanan Kanthasamy Ganesan
Published: November 2024

To meet the demands of the manufacturing industry, a more robust approach is needed for current manufacturing processes. Machining of very hard materials with excellent dimensional accuracy and surface integrity is a challenging task, Currently, the electrical discharge machining (EDM) process is the optimal solution for machining such materials. Electrical discharge drilling machines find applications in various sectors such as aerospace, automobile and medicine. In this research, two different brass electrode geometries are considered: tubular electrode tool (TET) and double D tubular electrode tool (DDTET) on an SS202 work-piece. The input parameters of peak current (PI), pulse time ON (PONT), and pulse time OFF (POFFT) were varied. The output response measured and compared were material removal rate (MRR) and over cut (OC). The Taguchi technique was used to design the l16 orthogonal array (OA) experiment, and analysis of variance (ANOVA) was employed for result analysis using Minitab20 statistical software package. The results showed that the DDTET method produced significantly better MRR and OC improvements of 21.66 % and 2.28 % respectively. Additionally, a study was conducted on the formation of the recast layer (RL) and the heat affected zone (HAZ).
Industrial development in Inner Mongolia – Challenges and Lessons
Authors: Munkhuu Erdenebayar
Published: November 2024

Inner-Mongolian Autonomous Region of the People’s Republic of China (Inner-Mongolia) has established an industrial structure focused on the heavy industry by taking the advantage of having vast natural resource reserves located within the region. This has become a vital base to the country for the development of energy, coal and chemicals, ferrous metals, equipment and green agriculture productions. However, Inner-Mongolia has been facing inevitable challenges of embarking on industrial reforms and developing its competitive advantages largely because of the weakened primary industrial factors and the reinforced green development requirements.
First part of this paper, by taking the theory of industrial factor, briefly explains how to create a competitive advantage within the industry sector, while the second part refers the current conditions of the Inner-Mongolian industrial development, the challenges encountered, and the ways being used to resolve such challenges. Finally, the paper outlines some issues for the industrial development of Mongolia.
Өвөр Монголын аж үйлдвэрийн хөгжлийн сорилт, сургамж
Хураангуй: БНХАУ-ын Өвөр Монголын өөртөө засах орон (ӨМӨЗО, Өвөр Монгол) байгалийн нөөц арвин, энэхүү нөөцийн давуу талаа түшиглэн хүнд үйлдвэрлэл голлосон аж үйлдвэрийн тогтолцоог бүрдүүлсэн, эрчим хүч, нүүрс-хими, өнгөт металл, тоног төхөөрөмж, ХАА-н эко бүтээгдэхүүн үйлдвэрлэлийн салбарт тус улсын чухал бааз болон хөгжиж ирсэн байна. Гэвч сүүлийн үед үйлдвэрлэлийн анхдагч хүчин зүйлсийн давуу талууд суларсан, ногоон хөгжлийн шаардлагууд нэмэгдсэн зэрэг хүчин зүйлийн улмаас Өвөр Монголын аж үйлдвэрийн салбарт шинэтгэл хийх, өрсөлдөх давуу талыг хөгжүүлэх зайлшгүй шаардлага тулгамдаж буй ажээ.
Энэ өгүүллийн эхний хэсэгт аж үйлдвэрийн салбарт өрсөлдөх давуу талыг хэрхэн бий болгох талаар үйлдвэрлэлийн хүчин зүйлсийн онолыг үндэслэн товч тайлбарлаж, дараагийн хэсэгт Өвөр Монголын аж үйлдвэрийн хөгжлийн өнөөгийн байдал, тулгарч буй сорилт, шийдвэрлэж буй арга замыг авч үзэн, төгсгөлд нь Монгол Улсын аж үйлдвэрийн хөгжилд анхаарах асуудлын талаар санал бодлоо хуваалцлаа.
Түлхүүр үг: Өвөр Монгол, аж үйлдвэрийн хөгжил, харьцангуй болон өрсөлдөх давуу тал, үйлдвэрлэлийн хүчин зүйлс, сорилт, сургамж
THE INFLUENCE OF THE PHILOSOPHY OF SPACE AND TIME ON LITERARY FICTION
Authors:   Independent researcher at Gulistan State University, Uzbekistan, Erkinovna Turumova Nilufar
Published: November 2024

The interplay between the philosophical concepts of space and time and literary fiction offers a profound exploration of human existence, perception, and creativity. This article examines how space and time, as foundational elements of philosophical inquiry, shape the structure, themes, and characters in literary works. Drawing on examples from classical and modern literature, this study highlights the ways in which authors use spatial and temporal dynamics to enhance narrative depth and engage readers in a multidimensional experience. By bridging philosophy and literature, the article provides a nuanced understanding of how these abstract constructs influence storytelling across cultures and epochs.
Conferències del Postgrau de Correcció
Authors: Paloma David , Montserrat Mònica
Published: November 2024

Aquest volum recull les conferències, d'inauguració i de cloenda, del Postgrau de Correcció i Assessorament Lingüístic de la UAB en l'edició del curs 2022-2023. La conferència d’inauguració, Tòpics del doblatge en català, va ser impartida en línia per Miquel Strubell i Prats, gestor del compte de Twitter @DoblatgeCatala, el 18 d'octubre del 2022; i la de cloenda, Quan la llengua catalana i la correcció esdevenen passió, de Josep M. Mestres i Serra, cap de correcció lingüística de l'Institut d'Estudis Catalans durant trenta anys (1991-2021), va ser impartida de forma presencial a la Universitat Autònoma de Barcelona, el 25 de maig del 2023.
Evaluation of the ingredient profile in Psittaciformes feeds marketed in the Metropolitan Region of Recife
Authors: Izidro José Lypson Pinto Simões , Santos Marcos José Batista dos , Silva Talita Vitória Bezerra da , Nascimento Daniel Bezerra do , Silva Webert Aurino da , Costa Hilton Nobre da , Benvenuto Elisabete Albuquerque dos Santos , Silva Raphael Luiz Andrade , Andrade Gilcifran Prestes de , Rabello Carlos Bôa-Viagem , Nascimento Thiago Pajeú , Costa Romero Marcos Pedrosa Brandão , Albuquerque Priscila Virgínio de , Santana Carolina Louise Nascimento de , Nascimento Júlio Cézar dos Santos
Published: November 2024

The evaluation of the ingredient profile in feeds for psittaciformes, such as parrots and parakeets, is crucial to ensuring the health and welfare of these exotic birds. In the metropolitan region of Recife, the quality of the feeds offered to psittaciformes varies significantly. This study aimed to analyze the composition of ingredients in feeds available in the local market, focusing on their nutritional adequacy. Thirteen commercial diets for psittacines were used, obtained from establishments such as markets, stores, and fairs in the Metropolitan Region of Recife. The brands selected for the research offered good cost-benefit ratios and consisted of diets made up of various seeds. Date were analyzed using bayesian mixed effects linear regression model. It was observed that the basic composition of most commercial feeds is a mixture of seeds, including canary grass, small sunflower seeds, cateto rice, oats, safflower, rapeseed, sorghum, triticale, corn grains, millet, and peanuts. Additionally, a higher amount of common millet was noted, which may be directly related to the acquisition price of these ingredients compared to the quantity available in the feeds. Disparities were observed in the percentages of dry matter, mineral matter, and crude protein in relation to the information on the packaging. This suggests potential qualitative losses of nutrients declared on the packages prevalent in the region. Psittacine feeds are formulated with cheaper ingredients, and the actual nutritional value of the feeds is lower than the information on the labels.
Strengthening ties: Brazil's defense strategy in the South Atlantic through african aliances
Authors: Araujo Laércio Eduardo de
Published: November 2024

This article examines the importance of Brazil-Africa relations within the broader framework of South Atlantic defense strategy. The primary objective is to assess how these relations contribute to Brazil's geopolitical positioning and defense capabilities in the South Atlantic. The analysis is structured around three intermediary objectives that guide the sections of the article: 1) exploring the historical foundations and evolution of diplomatic and military cooperation between Brazil and African nations; 2) evaluating the strategic importance of the Gulf of Guinea for maritime security and its role in Brazil’s defense strategy; and 3) identifying future opportunities for enhanced collaboration within multilateral organizations, particularly the Community of Portuguese Language Countries (CPLP) and the Zone of Peace and Cooperation of the South Atlantic (ZOPACAS), and how these may impact regional stability. As a conclusion, the article advocates for Brazil to take a proactive leadership role in the region, emphasizing the need for increased investment in defense and strategic partnerships to navigate future challenges effectively. A qualitative methodology is employed, with the article drawing on academic literature, policy documents, and books to provide a comprehensive review of Brazil-Africa relations. The findings underscore that deepening these relations is vital for ensuring maritime security, strengthening Brazil's influence, and fostering long-term stability in the South Atlantic region, which are essential components of its defense strategy.