bluuebunny/crossref_metadata_2025 huggingface dataset:
Ứng dụng công nghệ GIS và mô hình toán thành lập bản đồ dự báo lớp phủ mặt đất huyện Vĩnh Cửu, tỉnh Đồng Nai năm 2030
Authors: Thích Huỳnh Văn , Tuấn Lê Phú , Oanh Vũ Thị Kim
Published: December 2023

Bài báo trình bày tóm tắt kết quả Ứng dụng công nghệ GIS, Viễn thám và mô hình phân cấp thứ bậc (AHP) kết hợp mô hình Cellular Automata - Artificial Neural Network (CA-ANN). Nghiên cứu này ứng dụng dữ liệu ảnh viễn thám sentinel 2A năm 2017, 2019 và 2023 để thành lập bản đồ dự báo lớp phủ mặt đất huyện Vĩnh Cửu, tỉnh Đồng Nai năm 2030. Kết quả nghiên cứu đã xây dựng bản đồ biến động lớp phủ mặt đất giai đoạn 2017-2023 cho 05 trạng thái: đất lâm nghiệp, đất nông nghiệp, đất xây dựng, đất trống và mặt nước, đồng dự báo được những trạng thái có nguy cơ biến động trong tương lai. Kết quả dự báo lớp phủ mặt đất huyện Vĩnh Cửu năm 2030, tổng diện tích đất tự nhiên của khu vực nghiên cứu là 108.914,44 ha, trong đó đất lâm nghiệp có diện tích lớn nhất 67.003,31 ha chiếm 61,52%. Đất nông nghiệp diện tích là 15.331,71 ha chiếm 14,05%, đất mặt nước diện tích là 16.451,62 ha chiếm 15,11%, đất Xây dựng diện tích là 9.446,53 ha chiếm 8,67%, đất trống diện tích là 681,27 ha chiếm 0,63% . Kết quả của bài báo sẽ là tư liệu tham khảo tốt cho những nghiên cứu về ứng dụng ảnh vệ tinh trong thành lập bản đồ dự báo lớp phủ mặt đất.
AI in Rehabilitation Medicine: Opportunities and Challenges
Authors: Lanotte Francesco , O’Brien Megan K. , Jayaraman Arun
Published: December 2023

Artificial intelligence (AI) tools are increasingly able to learn from larger and more complex data, thus allowing clinicians and scientists to gain new insights from the information they collect about their patients every day. In rehabilitation medicine, AI can be used to find patterns in huge amounts of healthcare data. These patterns can then be leveraged at the individual level, to design personalized care strategies and interventions to optimize each patient’s outcomes. However, building effective AI tools requires many careful considerations about how we collect and handle data, how we train the models, and how we interpret results. In this perspective, we discuss some of the current opportunities and challenges for AI in rehabilitation. We first review recent trends in AI for the screening, diagnosis, treatment, and continuous monitoring of disease or injury, with a special focus on the different types of healthcare data used for these applications. We then examine potential barriers to designing and integrating AI into the clinical workflow, and we propose an end-to-end framework to address these barriers and guide the development of effective AI for rehabilitation. Finally, we present ideas for future work to pave the way for AI implementation in real-world rehabilitation practices.
Análisis Bibliométrico. Fortalecimiento de procesos sustentables locales y regionales
Authors: Corchuelo Rodriguez Camilo Alejandro
Published: December 2023

El análisis de tópicos tendenciales permite identificar temas persistentes en la ventana de observación relacionada con las publicaciones. Se destacan las investigaciones en procesos sostenibles y desarrollo sostenible.
Modelo de medición de grupos , investigación, desarrollo tecnológico o de innovación y de reconocimiento de investigadores del Sistema Nacional de Ciencia, Tecnología e Innovación Año 2021
Authors: Corchuelo Rodriguez Camilo Alejandro
Published: December 2023

La aplicación de un Modelo de Medición de Grupos, investigación, desarrollo tecnológico e innovación, así como de reconocimiento de investigadores, en el ámbito de la ingeniería dentro del Sistema Nacional de Ciencia, Tecnología e Innovación, no solo potencia la calidad y la eficiencia de las actividades en este campo, sino que también consolida la posición de la ingeniería como motor clave del progreso tecnológico y la innovación en el país.
Youtube Platformu Üzerine Yapılmış Eğitim Araştırmalarının İncelenmesi: Ulusal Tezlerin Eğilimleri
Authors: ARI Onur , KARA Mehmet
Published: December 2023

Bu araştırmanın amacı Youtubeplatformu üzerine yazılmış eğitim araştırmalarını raporlayan tezleri yöntem ve içerik bakımından incelemek ve eğilimlerini ortaya koymaktır. Bu amaç doğrultusunda Yüksek Öğretim Kurulu Başkanlığı Tez Merkezi veritabanından erişilen ve belirlenen kriterlere uygun24 tez çalışması analiz edilmiştir. Tezlerin anabilim dallarına, yıllara, araştırma modellerine, üniversitelere, veri kaynaklarına ve araştırma konularına göre dağılımları incelenmiş ve eğilimleri ortaya konulmuştur. Analize dahil edilen tezlerin tamamı yüksek lisans düzeyindedir. Eğitimde Youtube kullanımı üzerine henüz doktora düzeyinde tez hazırlanmadığı görülmüştür. İlgili tez çalışmaları 13 farklı anabilim dalında yapılmıştır.Youtube üzerinde yapılan çalışmalar 2014 yılında başlamakla birlikte özellikle 2020 yılından itibaren artış eğilimi belirgin şekilde görülmektedir. Yazılan tezlerin yaklaşık yarısının alanyazın incelemesi üzerine olduğu tespit edilmiştir. Bu çalışma kapsamında incelenen tezlerde en çok görüşme ve doküman incelemesi gibi nitel yöntemler ile veri toplanmıştır. Bunun yanı sıra çalışmaların çoğunun Youtube üzerinde yer alan videoların içerik incelemesi olduğu görülmektedir. Benzer şekilde, tezlerin araştırma konuları da Eğitim amaçlı Youtube videolarının içerik analizi üzerinde yoğunlaşmıştır. Bu sonuçlara göre; Youtube’u bir eğitsel müdahale aracı olarak kullanan ve etkilerini inceleyen gelecek ampirikaraştırmalara ihtiyaç vardır. Son olarak çalışmaların K-12 düzeyinde yoğunlaştığı, açık ve uzaktan öğretim de dahilolmak üzere yükseköğretim düzeyinde, hayat boyu öğrenme ile informal öğrenme ve mesleki gelişim kapsamında henüz çalışma yapılmadığı görülmüş ve bu alanlardaki araştırma ihtiyacına vurgu yapılmıştır.
Yapay Zekânın Medyada Sunumu ve Yükselişi: Olanaklar, Sınırlar ve Tehlikeler
Authors: NACAROĞLU Derya , SAVCI Sabri
Published: December 2023

Bu çalışma yakın bir geçmişte hayatımıza giren, pek çok alanda kullanılmaya başlanan, bazı bilinmezlik ve belirsizlikler içermekle birlikte her geçen gün artan bir ilgi ve merakla takip edilen “yapay zekâ” kavramı üzerine yapılmıştır. Yapay zekâ kavramının tarihi ve ilerlemesi literatür taraması yapılarak betimleyici bir analizle anlatılmış, ardından yapay zekanın yükselişi bilim ve teknoloji haberleri ölçeğinde analiz edilmeye çalışılmıştır. Yapay zekânın ne olduğu ya da olmadığı, yapay zekâ uygulamaları ile insanlığı bekleyen olanak ya da tehlikelerin neler olabileceği haber metinleri üzerinde aranmaya çalışılmıştır. Bu çözümleme için ülkemizde bilim ve teknoloji haberlerinde konunun sıklıkla görünür olmaya başladığı 2023 Ocak ayı başlangıç olarak alınmış, o tarihten itibaren altı aylık dönem içinde çıkmış yapay zekâ haberleri taranmıştır. Temsili örneklem yöntemine göre seçilmiş haber metinleri, oluşturulan kategorilere göre içerik analizi yönt emi ile çözümlenmiş, göstergeler ise bu çözümlemeye katkı getirmesi bağlamında çalışmaya dâhil edilmiştir. Haber metinlerinin çözümlenmesi sonrasında yapay zekânın yükselişine ve sınırlarına ilişkin olarak; sunduğu olanaklar ve içerdiği tehlikeler belirlenmiş ve bunlara ilişkin değerlendirmeler yapılmıştır. Sonuç olarak, haberlerde yapay zekâya ilişkin bilgi ve uygulamalardan söz edilirken insanlığı bekleyen olanak ve tehlikelerin boyutlarına ilişkin toplumsal bir farkındalık ve bilinç geliştirerek bu yenidünya algoritmasına insanlığı hazırlıklı kılmak yönünde bir inşanın söz konusu olduğu görülmüştür. Haberin yarattığı anlamın ise daha çok tehlike ve tehdit alanları üzerinde odaklandığı söylenebilir.
PREDICTION OF RUNOFF BY SYNTHETIC UNIT HYDROGRAPH METHODS FOR THE DESIGN STORMS IN WARANA RIVER BASIN, MAHARASHTRA, INDIA
Authors: Patil Suraj , Tejaswini Nikhil Bhagwat
Published: December 2023

The authors' goal was to calculate average representative unit hydrographs (UHs) from a few isolated storms for the upper Warana River basin in Maharashtra, India. Based on the approaches used by Snyder, the Soil Conservation Service (SCS), the Central Water Commission (CWC), and Common, synthetic unit hydrographs were created. This study was utilised to choose appropriate correlation coefficients for Synthetic Unit Hydrograph (SUH) evaluation for the ungauged basins with identical hydrological conditions. The outcomes were then analyzed with those attained using other techniques and with the actual UH. In order to calibrate and validate the effectiveness of Snyder's model, the authors employed it on the sub-basins of the Warana river basin. The hydrograph's shape resembled the observed UH produced by the other methods, according to the results, and the peak discharge calculated using Snyder's technique had the lowest percentage error (0.26%)
THREAT PREVENTION & VULNERABILITY ANALYSIS OF SMART CONTRACTS IN BLOCKCHAIN NETWORKS
Authors: Chandra Pankaj , Soni Santosh , Gupta Akanksha , Kumar Prayas , Raj Kunal
Published: December 2023

Blockchain technology now relies heavily on smart contracts, which offer self-executing code for the exchange of goods and data. Smart contracts enable financial activities like payments and auctions on blockchain systems. Even if bugs are found, they cannot be changed. They are frequently used to automate the implementation of agreements so that all parties may be confident in the conclusion without the need for an intermediary. But because of their openness and how they interact with one another in the blockchain ecosystem, these contracts are vulnerable to security risks. Smart contract security research has advanced significantly in recent years. The research community of smart contract security has made a significant improvement recently. Researchers have identified several security flaws in smart contracts and have created frameworks for verification and static analysis to find them. This study attempts to identify the most critical software security issues that affect smart contracts. These are then handled utilizing a variety of methods and equipment common to the sector
GOLPMA: GROUP ORIENTED LIGHTWEIGHT PAYLOAD-BASED MUTUAL AUTHENTICATION FOR SECURED IoT COMMUNICATION
Authors: Akshatha P S , D Harshith , S M Dilip Kumar
Published: December 2023

The rise of the Internet of Things (IoT) has increased the emphasis on protecting device communication. The Constrained Application Protocol (CoAP) extensively utilizes Datagram Transport Layer Security (DTLS) to provide end-to-end security; however, DTLS has a high connection overhead. This work presents a new Group Oriented Lightweight Payload-based Mutual Authentication (GOLPMA) mechanism that authenticates clients and servers before permitting communication using the Advanced Encryption Standard (AES). GOLPMA combines and improves essential parts of the CoAP architecture, resulting in a low-overhead, dependable, and computationally efficient alternative to DTLS. The payload-based mutual authentication technique only requires two round-trip message exchanges and restricts the payload of each message to 256 bits. GOLPMA surpasses typical DTLS/CoAP techniques based on throughput, latency, packet delivery ratio, average response time, mean jitter, authentication time and energy consumption in two separate network topologies with 15 and 30 nodes when examined using the Cooja simulator on Contiki OS. The results suggest that GOLPMA could be a safe, low-power replacement for DTLS in IoT applications
Alfabetização científica na educação infantil e nas séries iniciais: um estudo sobre o estado da arte
Authors: Da Silva Silvio Luiz Rutz , Mathias Shayane Caroline Bueno
Published: December 2023

A criança brinca, imagina, constrói conhecimentos, ela ocupa um papel ativo dentro do espaço de ensino-aprendizagem. Ela aprende o tempo todo com as experiências que vivencia. Pensando sobre a criança como um ser em constante e intensa aprendizagem, pensamos sobre o papel da alfabetização científica desde a Educação Infantil e nas séries iniciais. O presente artigo teve como objetivo realizar um mapeamento acerca de como se encontram os trabalhos (teses e dissertações) sobre alfabetização científica na Educação Infantil e nas séries iniciais no Brasil. Os dados foram coletados na Biblioteca Digital Brasileira de Teses e Dissertações (BDTD). Realizada as filtragens e a leitura dos resumos, caracterizamos e dividimos os trabalhos em quatro grupos. Essas análises foram apresentadas a partir desses grupos, todas as produções foram analisadas uma a uma. Em seguida, utilizamos o software Iramuteq onde geramos os gráficos nuvem de palavras e análise de similitude. Conclui-se que o baixo número de trabalhos encontrado sobre o tema demonstra que pouco se tem estudado sobre essa temática no Brasil. A análise dos trabalhos demonstra que as crianças aprendem muito em contato com o lúdico, com o meio, com o outro, que as experiências são fundamentais no levantamento de hipóteses e discussões de ciência em sala de aula.
Employing Fuzzy Delphi Techniques to Validate the Components and Contents of Role of Social Media in a Technology Acceptance Model towards Perception and Investment Intention in Cryptocurrency
Authors: Robkob Nattapong , Pankham Sumaman
Published: December 2023

Purpose: The purpose of this study is to assess the impact of social media on perceptions and investment intentions regarding cryptocurrency, using the Fuzzy Delphi Method (FDM) and the Technology Acceptance Model (TAM).
 
Theoretical Reference: The theoretical framework for this study is based on the Fuzzy Delphi Method (FDM) for gathering expert feedback and the Technology Acceptance Model (TAM) for understanding the acceptance of technology.
 
Method: The method involved collecting responses using a 7-point Likert scale and a panel of eight experts who reviewed and approved the survey items. The data were analyzed using triangular fuzzy numbering and defuzzification to determine the ranking of each variable.
 
Results and Conclusion: The study found a high level of consensus among experts, with defuzzification values exceeding the α-cut >.5, and the overall threshold value (d) was less than .2, which is within the required threshold for percent consensus of over 75%. All 60 recommended items were deemed suitable for inclusion in a large-scale survey.
 
Implications of Research: The research implies that there is a strong agreement among experts on the factors influencing the perceptions and investment intentions towards cryptocurrency as mediated by social media. This consensus can be used to inform a larger-scale survey and potentially guide investment and marketing strategies in the cryptocurrency domain.
 
Originality/Value: The originality of this research lies in its application of the Fuzzy Delphi Method to the field of cryptocurrency and its combination with the Technology Acceptance Model to understand investment intentions influenced by social media. The value is in providing a methodologically sound basis for further large-scale research and offering insights into expert consensus on the topic.
Desarrollo y validación de método cromatográfico para la detección y cuantificación de residuos de Ivermectina en agua residual
Authors: Colque-Ayma Elvis Jack , Merma-Chacca Donald Efrain , Ecos-Espino Alejandro Manuel , Campos-Quiróz Clara Nely , Ramos-Tejada José Luis , Veja-Quispe Anyela Pierina , Zirena-Vilca Franz
Published: December 2023

Este estudio desarrolló y validó un método de análisis por UHPL-DAD para detectar y cuantificar residuos de Ivermectina (IVM) en agua residual. La implementación de este método, consistió en poder realizar un método robusto y eficiente; donde el tiempo de retención para este residuo en mención fue de 3.1 min. No obstante, los parámetros considerados en el proceso de validación del método analítico fueron: selectividad, linealidad, límite de detección, límite de cuantificación y porcentaje de recuperación; el método es selectivo, el coeficiente de correlación es R2 ≥ 0,99, presenta un límite de detección (LD) de 0,003 µg L-1, un límite de cuantificación (LQ) de 0,01 µg L-1, y un porcentaje de recuperación del 90% (con fortificación de 0,1 µg L-1).
Efecto de tres sustratos y fuentes orgánicas en la morfología del ajo (Allium sativum) en la Comunidad de Puñutani, Región Puno
Authors: Huanacuni Ajrota Víctor Cipriano , Villanueva Pedraza Edwaldo , Foraquita Quispe María
Published: December 2023

El objetivo del estudio fue investigar el efecto de la aplicación de diferentes abonos orgánicos sobre el desarrollo de la altura de la planta, diámetro de bulbo y dientes germinados del ajo (Allium sativum). Se utilizó un diseño completamente al azar (DCA) con un total de 4 tratamientos con 3 repeticiones. Los tratamientos fueron T0: Testigo absoluto sin sustrato, T1: Tierra agrícola proporción 1:1 con vermicompost con estiércol de ovino, T2: Tierra agrícola más Biol al 10% en dilución acuosa, T3: Tierra agrícola más 10% de ceniza de desechos orgánicos y sin adición actuó como control. Los datos se analizaron con el procedimiento GLM de SAS y las medias de los tratamientos se compararon con la prueba de Tukey. Los resultados mostraron que la adición del Biol al 10% en dilución acuosa y Vermicompost con estiércol de ovino al cultivo de ajo (Allium sativum), tuvieron el efecto más beneficioso en la germinación, diámetro y altura de la planta. Los valores más bajos para las características analizadas del cultivo de ajo (Allium sativum) se encontraron en el grupo control. Concluimos que el uso de Biol resultó en mayores rendimientos en la germinación de bulbos, altura de planta y diámetro de bulbo.
Caracterización de la flora medicinal utilizada por los pobladores de la Provincia de Pacasmayo, La Libertad, Perú
Authors: Gonzales Velásquez Carmen Lizbeth Yurac , Mostacero- León José , De la Cruz-Castillo Anthony J.
Published: December 2023

A lo largo de la historia, el ser humano ha recurrido a la naturaleza para obtener recursos como alimentos, vestimenta, productos farmacéuticos, madera y tintes. En ese sentido, la herbolaria se vuelve vital en la mejora de la calidad de vida; de allí que la OMS afirma que, en países con economías periféricas, dos tercios de la población utilizan la medicina tradicional como complemento a la medicina científica, lo que la convierte en una alternativa viable para el poblador en general. Por lo mencionado, la presente investigación busca caracterizar la flora medicinal utilizada por el poblador de la provincia de Pacasmayo, La Libertad, Perú. Se aplicaron un total de 96 entrevistas semiestructuradas, que permitieron recabar información concerniente a la taxonomía y etnobotánica de la flora empleada con fines medicinales por el poblador de esta provincia. Se concluye que existen 24 especies de plantas medicinales utilizadas en la provincia de Pacasmayo; distribuidas en 24 géneros y 20 familias; donde Cymbopogon citratus “hierba luisa”, Rosmarinus officinalis “romero” y Matricaria chamomilla “manzanilla” resultaron ser las más importantes para la población.
Aplicación de fotocatálisis solar en el tratamiento de agua para consumo humano y aguas residuales
Authors: Gosgot Angeles Wildor , Montengro Yesica , Yalta Chappa Merbelita , Santillan Gomez Homar , Mori Servan Diana Carina , Bautista Alcantara Roicer , Lopez Mas Mariños
Published: December 2023

Se investigó la eficiencia de desinfección de agua de pozo y degradación de materia orgánica de agua residual de tratamientos por desinfección solar (SODIS-CPC) y fotocatálisis (TiO2 en suspensión [TiO2susp. - CPC], catalizador de concreto mezclado con TiO2 [CI-CPC] y catalizador de concreto impregnado con TiO2 [CII-CPC]) acoplado a un colector parabólico compuesto 1.15 X (CPC 1.15X) y fotorreactor de botella PET de 1.5 L. Las evaluaciones se llevaron a cabo en el mes de septiembre y octubre entre las 8:00 y 16 horas, con radiación solar menor a los 1000 W/m2. Los resultados demostraron que el CII-CPC logró tener una eficiencia máxima de 99.99 % de inactivación de coliformes totales, fecales y E. coli en el agua de pozo. El SODIS-CPC tuvo una eficiencia máxima de remoción DBO y DQO de 93.08 y 94.94 %, respectivamente. La eficiencia de desinfección y degradación depende de la intensidad de la radiación incidente, el tiempo de exposición, concentración de TiO2 y la geometría del reactor.
Biomanufacturing and One Health
Authors: Philp Jim
Published: December 2023

At a time when the scope of One Health is expanding, the term “biomanufacturing” has taken on new significance as a new route to more sustainable manufacturing in the face of the current overwhelming reliance on fossil resources for fuel, energy, and materials. This article looks at how One Health and biomanufacturing interact from policy, technical, and societal viewpoints. The biofoundry is explored as a missing link in the design phase of biomanufacturing and examples are given where the potential of biofoundries can be enhanced in selected environmental and human health applications.
Overcoming confidential information challenges faced by study sponsors today
Authors: Zimmerman Elliot
Published: December 2023

As health authorities aim to increase clinical trial transparency and visibility to the public, pharmaceutical manufacturers are facing new pressure points. New regulations require the disclosure of clinical trial application data, many of which contain sensitive and confidential information about company intellectual property including, but not limited to, its manufacturing methods, drug composition, names of suppliers, and future development plans. Many manufacturers are examining their processes to minimise references to this confidential data during the document authoring process and how they track and identify confidential information throughout the study lifecycle. This has created a catalyst for medical writing, transparency, legal, and regulatory teams to collaborate and enhance their processes to minimise disruption to the trial approval process while embracing the opportunities to share more with the public.
Psychotropics: A scientific, regulatory, and public view on the medicinal uses of cannabinoids and psilocybin
Authors: Turek Ivana
Published: December 2023

Research on psychotropics is gaining more popularity worldwide and support from drug regulatory agencies, which recognise the unmet medical needs of certain patient communities, such as patients with mental disorders and patients with cancer who experience depression. Cannabinoids and psilocybin have shown promising results in preclinical studies and clinical trials, but the current clinical evidence is scarce, and the regulatory requirements are strict due to high potential for drug abuse. The US FDA has recently released a draft, non-binding guidance on clinical trials with psychedelics. Europe is currently falling behind the US and Canada in terms of regulating psychotropic substances. The article provides a general introduction on conducting clinical trials with psychotropics and the regulatory requirements (as of October 2023) when submitting marketing authorisation application. In the near future, as more data becomes available, research on psychotropics will definitely shape the European regulatory landscape.
Medical Writing explores the many faces of biotechnology
Authors: Bell Jennifer
Published: December 2023

This Medical Writing issue focuses on the crucial role of medical writing and communications in biotechnology and product development in healthcare. In the pharmaceutical and medical device industries, biotechnology uses biological systems and living organisms in R&D and production processes for product development. Some biotechnologies include biologic and biosimilar pharmaceuticals, vaccines, and advanced therapy medicinal products, including gene and cell therapies and tissue engineered products.
Thirty years from 1992 to 2023: A bibliometric study of the Marathon Sports in China
Authors: Wang Jiahui , Du Peng
Published: December 2023

This article uses triple analysis tools, namely Citespace, Vosviewer, and ArcGIS, to conduct a visual analysis of core literature published in the CNKI database from 1992 to 2023, focusing on the themes of "marathon" or "road running." The analysis generates visualizations such as keyword co-occurrence knowledge maps, keyword bursting maps, and heat maps of research institutions and regions. The objective is to explore the research hotspots, evolution, and frontiers of China's marathon studies based on the significance of sports, providing a systematic, vertical, and periodic overview of current China's marathon research. The study aims to fill the gap in the comprehensive, longitudinal overview of marathon research in China under a full cyclic historical development perspective. Additionally, it seeks to explore the dynamic development of marathon research in China throughout the entire cycle, contributing to a clear, systematic, and visual representation of marathon sports research. The findings are expected to offer valuable insights and references to promote the clarity, systematization, and visualization of marathon sports research in China.
Technological Adaptation and Cultural Contradictions: An Analysis of the Socio-Cultural Roots of Teacher Anxiety in the Intelligent Era
Authors: Luo Xueyi , Li Zhiping , Wang Jiao
Published: December 2023

In the era of intelligence, teachers are facing the challenges of new educational technologies, and technological anxiety has become an issue that cannot be ignored. Existing research often starts from the perspective of the technology acceptance model, neglecting the impact of diverse factors such as individual adaptation of teachers, socio-cultural environment, and cultural differences on technological anxiety. However, the emotional state of teachers will affect the effectiveness of their use of technological tools. This study attempts to apply theories of cross-cultural adaptation, postmodern social theory, Hofstede's cultural dimensions theory, social constructivism theory, and combine representative empirical research to deeply explore the socio-cultural factors and mechanisms behind the formation of teachers' technological anxiety, and propose suggestions from various social levels. From the perspective of socio-cultural contradictions, teachers' technological anxiety is mainly caused by differences in teachers' ability to adapt to technology, the impact of technology on educational practices, attitudes towards technology in different cultural backgrounds, and obstacles in the construction of technological cognition. To balance the contradiction between teachers' technological adaptation and socio-culture in the intelligent era, it is necessary to enhance the individual technological adaptability of teachers; construct a technology-friendly socio-cultural environment; pay attention to cultural differences, promote equal acceptance of technology; guide the social construction of positive technological cognition, and cultivate teachers' positive attitude and motivation for using technology.
A Framing Analysis of News Reports on the Canton Fair from SCMP and CGTN
Authors: Li Fangyuan
Published: December 2023

Canton Fair, the biggest and the most long-standing trade fair of its kind in China, had attracted reports from various news oultlets. As a Chinese government-affiliated news agency, CGTN is expected to report on the fair in a positive tone that aligns with official perspectives and provide detailed exclusive information. On the other hand, the South China Morning Post, being more editorially independent, is likely to report on the fair in a more subjective manner and insights from gobal perspectives. This paper revealed that news coverage on the Canton Fair from South China Morning Post (SCMP) and CGTN from 2020 to 2023. Based on the participatory observation in a news coverage production system of China, this study revealed that a usful strategy is built on a practice system in two different medium. Such a system provides a theoretical foundation for medium to train reporters. In this process, the platform uses systematic methods to describe and solve problems with the help of big data technology.This paper mainly contributed to the developement of different news agencies, while it issues about promotion to quality of news coverage.
The role and mechanisms of sleep on memory consolidation
Authors: Huang Jiahe
Published: December 2023

In addition to its physiological functions, sleep also has a consolidating effect on memory, and current research has found sleep could promote the consolidation of declarative, procedural, and emotional memory. Possible mechanisms of sleep-enhanced memory include the the systemic consolidation theory, dual-process theory, the synaptic homeostasis theory, and the sequence hypothesis. In the future, more research need to examine the neural mechanisms of sleep-enhanced memory consolidation, and the use of simultaneous EEG-MRI will be a meaningful attempt to help us better understand the specific neural processes of sleep-enhanced memory consolidation.
The Development Status and Challenges of Times Faced by Uygur Traditional Costume -Taking Hotan Prefecture as an Example
Authors: Li Zhaoxin
Published: December 2023

Clothing, as a unique existence, is one of the most representative material heritage of the Uygur people. Through combing the existing literature and independent fieldwork, this study finds that the current development of traditional Uygur costumes is not only impacted by the market economy but also influenced by contemporary cultural trends. Despite facing challenges in terms of pricing as a commodity, traditional Uygur clothing continues to hold cultural significance within Uygur society, demonstrating the necessity to address these issues. We can try to take corresponding measures from different levels, such as increased industrial support from the government, active promotion and publicity within the community, and the participatory efforts of individuals. Finally, this paper emphasizes the need for comprehensive protection of endangered traditional cultures, which is a complex and systematic mission and needs joint efforts of different subjects to ensure the orderly transmission of Uygur cultural heritage.
The Impact of Corporate Environmental Information Disclosure on Investor Attitudes in A Carbon Neutral Context
Authors: Li Xinman , Wang Ruina , Wang Mingchen
Published: December 2023

With the rapid development in the field of technology and production, the adverse consequences of energy-intensive industries have become impossible to ignore. The frequent occurrence of extreme weather, loss of biodiversity, and degradation of ecosystems across the globe has made the process of global environmental governance particularly urgent. In order to meet the needs of sustainable development strategies, many countries have begun to emphasize the fulfillment of corporate environmental responsibility and have put forward a series of requirements for environmental information disclosure. At the same time, the general public has also actively responded to the state's call to monitor corporate emissions behavior. This study focuses on individual investors in China's capital market, using a survey method of designing a scale, distributing a questionnaire, and analyzing it with SPSS to explore their attitudes toward environmental information disclosure of heavily polluting enterprises. The study finds that investors are more favorable to enterprises with higher levels of environmental information disclosure, especially in today's environmentally conscious world. Such disclosure not only increases public trust in the enterprise and enhances its image, but also helps investors to more accurately assess the long-term value and sustainable development prospects of the enterprise. This study aims to provide more targeted and effective disclosure strategies for enterprises to promote the realization of both economic and social benefits. This study provides important insights and guidance for Chinese heavy polluters in addressing environmental challenges and sustainable development.
Analysis and optimization strategy of residential buildings in the main urban area of Kunming
Authors: Zhang Ranran
Published: December 2023

With the rapid development of China's social economy, the number of housing construction has been increasing and the quality of housing has always been improving. At the same time, people's requirements for residential construction are also higher. Aiming at the residential buildings in the main urban area of Kunming, this paper analyzes the current situation of residential buildings in the main urban area of Kunming by using the methods of literature analysis, field investigation, induction and comparative analysis. It is found that the existing residential forms in Kunming mainly include multi-storey residence, villa and high-rise residential buildings, and analyze the problems of these three kinds of buildings.
Research on the Value Accounting and Industrial Impact of Ecosystem Tourism Health Services in Xiamen City
Authors: Yang Jiayi , Bu Haiyan , Feng Chaoyang , Gao Yanni , Fu Xinyi
Published: December 2023

The tourism health services provided by the ecosystem is one of the important components of ecological products and one of the main paths for the transformation from green waters and mountains to golden mountains and silver mountains. It not only achieves value transformation through tourist tourism health activities, but also drives the development of related sectors to indirectly transform value. This article uses the input-output method to calculate the value of ecosystem tourism health services in Xiamen City in 2017. Based on this, relevant sector impact analysis was conducted to provide support for improving the ecological product value evaluation technology system and expanding the value realization path. The results show that the value of ecosystem tourism health services in Xiamen in 2017 is 64,767 billion yuan, with a contribution rate of 14.88% to GDP; The added value of tourism health services is 7,292 billion yuan, contributing 12.85% to the GDP added value. The driving effect of tourism health services in Xiamen on the national economy is higher than its driving effect, with a reaction coefficient of 1.146 and an influence coefficient of 0.745, respectively. Among them, the impact on infrastructure construction, finance and high-tech sectors is relatively large. The complete consumption coefficient is 0.841, 0.408 and 0.102 respectively, and the complete distribution coefficient is 0.145, 0.243 and 0.533 respectively. The identification of the main influencing sectors can provide an important foundation for further carrying out  sector contribution rate accounting, accurately quantifying the value of ecological products, and promoting model path innovation.
An Empirical Study of Logistics Industry Clustering on Regional Economic Growth in Liaoning Province
Authors: Wang Jiwei
Published: December 2023

Using the relevant data of Liaoning Province from 2010 to 2021, an econometric model is established with the C-D production function as the theory combined with the new economic theory, and dummy variables are introduced according to the three degrees of logistics industry agglomeration and the division of the three major economic zones in Liaoning Province, to explore the effect of logistics industry agglomeration on the promotion of regional economic growth under different degrees of agglomeration and economic zones. It is found that the clustering of logistics industry has a significant effect on the regional economic growth of Liaoning Province, and the effect of clustering varies with the degree of clustering, and as the degree of clustering grows, the degree of contribution changes with an inverted U trend; the effect of clustering varies with different economic zones, and the effect of clustering varies with the more economically developed regions. The more economically developed the region, the more obvious the promotion effect.
Genomic Data Disclose Potential Information on Evolutionary Interactions among Different Human Populations and Novel Education Technology Development
Authors: Xia Wei , Zhang Zhizhou
Published: December 2023

Study on language gene polymorphism patterns (LGPP) across different population genomes could provide incentives to develop novel education technology and important information on human evolution. In this study, as a preliminary observation, we adopted 148 single nucleotide polymorphism (SNP) sites from 13 language genes, each with 4-13 SNPs. These SNPs were screened across 112 whole genome sequences (including 59 ancient genomes ranging from 2000 BP to 120000 BP) from five continents (Africa, Asia, Europe, North America, and South America). We found that five distinct LGPPs featured across human evolution history, in which LGPP-1 may be the oldest version shared by animals and primitive hominins, though data also showed that LGPP-1 is still existing in some modern human populations. Asian and African possessed all LGPP types while European seemed lacking in the LGPP-2. Surprisingly, African samples had a relatively larger evolutionary distance from animals than other populations in LGPP1-4, while in LGPP-5 (the modern human type), some African samples had a relatively small evolutionary distance from animals than other human populations. Except for LGPP-2, all other LGPPs contained Asian, African and European, suggesting that there were vigorous interactions among these three continents all the time during human evolution. In this study, ancient American samples were only found in LGPP1-3, suggesting that either mutual migration among different continents happened much earlier than expected, or ancient Americans had little interactions with other populations after migrating into the America land.
Problems and Countermeasures of Comprehensive Budget Management in Drilling Enterprises
Authors: Wei Jun
Published: December 2023

In response to the requirements of sustainable high-quality development, market-oriented competition, and the practical development challenges in the drilling market, this paper focuses on the fundamental content of a comprehensive budget management model. It briefly analyzes the main problems and prominent contradictions in the current budget management practices of drilling enterprises. The emphasis is placed on advocating a business-volume-oriented approach, using established standards and calculation methods as a basis, and establishing a robust and comprehensive budgeting system throughout the entire process. The goal is to effectively control drilling costs, optimize cost control systems, and enhance the level of budget management. This is intended to provide reliable support for promoting sustainable high-quality development of drilling enterprises in the market competition.
Research progress on the impact of artificial intelligence on the labor market
Authors: Zhou Qirun
Published: December 2023

The application and development of artificial intelligence has exerted an important influence on the labor market. The existing literature mainly studies the impact of artificial intelligence on the total amount of employment and the employment structure. This paper argues that AI has the potential to reshape the labor market in many ways, with the potential to realize the leisure age of Keynes. AI can increase productivity and efficiency through automation of everyday tasks and may replace work through automation of everyday tasks. Governments need to adopt aggressive policies to address the potential trade-off between automation and unemployment. Investing in education and training programs is critical due to skill changes caused by AI. Therefore, this paper also provides further policy suggestions on how to deal with the possible employment shock caused by AI.
Research on the impact of artificial intelligence on the labor market
Authors: Zhang XinNing
Published: December 2023

The rapid development and application of artificial intelligence technology has brought new power to the social development, optimized the production link and management process, and improved the productivity level of manufacturing enterprises. At the same time, it has also triggered concerns in the job market about the "machine replacement". Literature analysis shows that AI applications will not bring about the "leisure era" described by Keynes, and that AI will change the labor market by replacing old jobs with new jobs, leading to the fear of unemployment and the need to learn new skills. Therefore, we should correctly understand the substitution effect of AI, seize the opportunity of talent training brought by AI, and reasonably grasp the application scope and degree of AI for enterprises in different regions and sizes.
Using Language Models to Augment Data in Stock Prediction
Authors: Hou Yuteng
Published: December 2023

This paper delves into the innovative application of language models as a means of enhancing data augmentation techniques in the context of Sentiment Analysis for Event-Driven Stock Prediction. In recent years, the integration of natural language processing and machine learning has led to significant advancements in sentiment analysis, enabling the extraction of valuable insights from textual data for enhancing stock prediction accuracy. In this work, we incorporate T-5 language model to enrich the training dataset with semantically diverse and contextually relevant textual variations. By conducting extensive experimental results, we demonstrate the effectiveness of using T-5 for data augmentation in the task of Sentiment Analysis for Event-Driven Stock Prediction..
Analysis of the motivation and impact of the implementation of the employee stock ownership plan
Authors: Zou Xiaohang
Published: December 2023

Equity incentive can be divided into executive equity incentive (Executive Stock Option) and employee equity incentive (Employee Stock Option). Employees here refer to the intermediate managers, core technical personnel and other employees except for the senior executives of the company. The ESOP is a mechanism by which the employees of the company share the ownership of the company by holding the stock or options of the company. From the perspective of the implementation of the employee stock ownership plan motivation, its main theoretical basis can be divided into three categories, respectively is incentive theory (incentive theory, reduce agent costs, attract, retain quality employees and limited to financing constraints, reduce cash pressure), signal theory (undervalued company more inclined to internal equity incentives, let investors aware that the current company price relative to its internal value deviation) and major shareholders self-interest theory. From the theoretical point of view, this paper discusses the possible motives and results of domestic listed companies to launch the stock ownership plan, in order to provide theoretical support for small and medium investors to rationally understand the employee stock ownership plan, and provide regulatory suggestions to the regulatory authorities to be vigilant about the self-interest behavior of major shareholders.
Ripple Through the Silk Road: Analysis of Liquidity Risk Spillover Effects in Stock Markets of Belt and Road Initiative Countries
Authors: Lu Haoyong
Published: December 2023

As global economic policy uncertainty and geopolitical risks intensify, liquidity risk in national equity markets has risen further and shown strong interconnectedness. Based on measuring the liquidity risk of the countries along the Belt and Road, this paper applies the volatility spillover measure of Diebold and Yilmaz (2012) to analyze the spillover effects of liquidity risk in the stock markets of the countries along the Belt and Road, and puts forward some related policy recommendations.
Research and Effectiveness Evaluation of Word-of-Mouth Marketing Strategies Based on Social Media
Authors: Ling Minjie
Published: December 2023

The rapid development and popularization of mobile internet technology have changed the way information is obtained and communicated. Various social media and e-commerce websites have emerged one after another, providing convenience for the public to participate in online comments and creating a good communication environment for Internet Word of Mouth (IWOM). Social networks are either a brand new internet application, a revolutionary way of information exchange, or a disruptive business model, but they are also a powerful booster for integrating the virtual world of the internet with the real world of humanity. Word of mouth (WOM) communication on social media has the characteristics of anonymity, fast communication efficiency, and rich communication forms, as it is utilized by many enterprises as a marketing model with low investment and high returns. Using social media platforms for word-of-mouth marketing (WoM) has advantages that traditional marketing models cannot match, but it also brings challenges to enterprises. This article constructs an optimization model for e-commerce WoM strategy based on social media and demonstrates the existence of the optimal solution. Analyzed the advantages of using social media for WoM and provided relevant marketing strategies, hoping to provide reference for relevant researchers.
Analysis on the production capacity improvement path of China's new energy vehicle enterprises based on QCA method
Authors: Liu Hao
Published: December 2023

With the aggravation of the world energy crisis and environmental pollution, the development of the automobile industry has been greatly affected. As an emerging industry, new energy vehicles have grown rapidly and gained a firm foothold in the global market. As one of the representatives of the global emerging industries, the development of its new energy vehicle enterprises has attracted the attention and expectation of the international community. At present, the main problem restricting its development is the efficiency of its production improvement, and exploring the production capacity improvement path suitable for the enterprise's own mode has become a hot topic. Based on the QCA analysis method, this paper analyzes a number of new power enterprises in China, and draws a variety of production capacity improvement paths, providing systematic guidance for China's new energy vehicle enterprises, helping them to better cope with market competition and technological change, and is of great significance to promote the sustainable development of the new energy vehicle industry.
Fraud in Listed Companies in China: Causes, Impacts and Countermeasures
Authors: Bo Luwei
Published: December 2023

In recent years, the issue of fraud in Chinese listed companies has been a topic of great concern. This paper aims to explore the causes of fraud in listed companies in China, its impact on the economy and investors, and propose some countermeasures. Through a comprehensive analysis of relevant literature and cases, we found that the root causes of fraud include insufficient supervision, moral hazard, financial pressure, and information asymmetry. These problems have had a negative impact on the development of China's capital market, harmed the interests of investors, and weakened the credibility of the market. However, by strengthening supervision, improving corporate governance mechanisms, improving information transparency, and strengthening investor education, we can effectively deal with fraud problems and maintain market order and investors' rights and interests.
Exploring the Influence of Cultural Identity on Tourists' Behavioral Intention of Environmentally Responsibility
Authors: Zhang Yanzhi
Published: December 2023

Based on the theory of planned behavior, this study constructs a structural model with involvement as the moderating variable, explores the impact of cultural identity on environmentally responsible behavioral intentions, and conducts empirical research using a questionnaire survey. The results show that: 1) Cultural identity has a significant driving effect on tourists' behavioral attitudes, subjective norms, perceived behavioral control and environmental responsibility behavioral intention; 2) The theory of planned behavior has a significant mediating effect between cultural identity and behavioral intention; 3) For tourists with high involvement, the role of cultural identity is more significant.