bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of using Digital Storytelling on Chinese EFL learners’ speaking ability
Authors: Li Ruojun
Published: September 2024

English has been valued as one of the most important subjects for Chinese high school student, but the development of speaking ability has gain attention at a lower level. In order to help students improve their speaking, the study applied digital storytelling in class to investigate its impact among Chinese student, requiring them to create digital storytelling video for oral practice based on selected topics. In addition, the study also explored students’ acceptance and perceptions of using digital storytelling. Data were collected from pre- and post-questionnaire, supplemented by interviews for further exploration. The results of the study showed that the employment of digital storytelling effectively improved students speaking competence and confidence, and it was considered by students to be a useful strategy in enhancing speaking learning and practice.
Different Language Variants and Social Class
Authors: Zhang Yimin , Liang Ye
Published: September 2024

This paper explains the relationship between the language and social class. Different people from different social class speak in a different way, and language is the representation of people’s social status. The purpose of this paper is to find these differences and their causes, then try to make clear the relationship between linguistic variables and social class. At last, this paper advocates that we should avoid language prejudices on the language variants which lower-class people use.
Reshaping Suspense Web Dramas: A Study of Nonlinear Narrative Strategies and Audience Feedback in Tencent Video’s 2022 Suspense Series
Authors: Chen Yifan
Published: September 2024

In recent years, China's streaming platforms have increasingly invested in the production of original suspense web dramas, making suspense dramas a popular genre that frequently sparks social discussions and crosses audience boundaries. In 2022, Tencent Video released six major suspense series, including Under the Skin, Are You Safe?, Talking Bones 2, The Neuron Doctors, The Fight, and Reset. This study delves into the programming strategies and audience feedback of these series, analyzing their unique narrative structures, script content creation, and their alignment with real-world social issues. Additionally, the paper examines audience reviews on platforms such as Weibo, Douban, and Tencent Video, revealing how these phenomenon-level suspense dramas successfully captivate viewers through their realistic themes and innovative nonlinear storytelling methods, showcasing their strong appeal and market competitiveness.
Housewife Blogger and The Paradoxical Influence in Gender Roles and Self-Perception
Authors: Zhou Wanqin
Published: September 2024

The rise of digital media platforms, notably TikTok, has seen the emergence of housewife bloggers sharing their daily chores. Initially driven by interest, these bloggers have transitioned into a profession marked by standardized content and commercialization. While offering career opportunities, their portrayal of household chores reinforces traditional gender roles. This article discusses the reason why housewife bloggers are popular from the aspects of emotional resonance and social comparison theory, summarizes the common features of these bloggers as “protagonist rather than dominant”, “limited space and repetitive labor” and “performing ‘reality’ ”, and thus explores the paradoxical impact of housewives integrating into society to create value and further imprisoning themselves in this identity or feeling anxious about not being able to create direct value, shedding light on its implications for gender roles and self-perception in the digital age, providing new thinking for the impact of digital media on social life from the perspective of gender division of labor.
Enhancing Cloud Computing Security with Blockchain: A Hybrid Approach to Data Privacy and Integrity
Authors: Chen Fan
Published: September 2024

This paper investigates the use of blockchain technology to enhance security in cloud computing environments, with a particular focus on data privacy and integrity in multi-tenant systems. The research proposes a hybrid security model that integrates blockchain’s decentralized verification mechanisms with traditional encryption techniques to prevent unauthorized data access and tampering. The system architecture leverages blockchain for immutable transaction logging, while encryption ensures confidentiality. Performance metrics, such as breach detection time, data integrity validation, and computational overhead, are analyzed to assess the model's effectiveness. Experimental results demonstrate that the hybrid model significantly enhances data security in cloud environments by reducing breach detection time and improving data integrity. However, the implementation introduces moderate computational overhead, suggesting the need for further optimization for large-scale applications. Future research should explore scaling solutions such as sidechains or sharding to mitigate these challenges.
A Research Plan for Pupils’ Global Understanding about Educational Inequality in the UK
Authors: Luo Gongke
Published: September 2024

This paper delves into the UK primary school pupils' initial perceptions of global educational inequality. It aims to assess their comprehension of 'education,' 'inequality,' and 'educational inequality,' and to determine their ability to identify educational resources, which are key to addressing the unfair distribution of educational opportunities highlighted by Banzragch et al. (2019). The study seeks to uncover the pupils' awareness of these concepts, which is crucial for understanding their views on educational disparities.
Assessing the Effectiveness of Martial Arts as a Tool for Conflict Resolution and Anger Management among Students.
Authors: Wei Xiaoshuang
Published: September 2024

The study examined the efficacy of martial arts in augmenting anger control and conflict resolution abilities among university students. The study investigates the effects of martial arts training on emotional regulation, stress management, coping strategies, cognitive restructuring, and conflict resolution abilities, as observed in a sample of students from diverse academic backgrounds. The sample primarily consists of female students, with most Freshmen enrolled in Medicine and Education. Utilizing a mixed-methods approach, this research used a structured questionnaire to evaluate students' perspectives in many domains, specifically emphasizing anger source identification, emotional control, and conflict analysis. The results of the study indicated that martial arts showed overall efficacy in regulating emotions, managing stress, and enhancing conflict resolution skills, including issue identification, mediation, and resolution creation. Nevertheless, research has shown that martial arts may have limited efficacy in cultivating empathy and facilitating students' ability to recognize the underlying factors contributing to their anger accurately. Considerable disparities in efficacy were noted when participants were categorized based on their academic field, exhibiting noteworthy divergences in stress mitigation and adaptive mechanisms.Furthermore, the study revealed statistically significant albeit modest associations between conflict resolution abilities and distinct facets of anger control in domains such as conflict analysis and mediation.
Research on Khorchin Zasagt Wedding Songs
Authors: PU TAO
Published: September 2024

The nomadic Mongolians have a rich tradition of songs and music, which has retained its distinct characteristics and forms over a long historical period. The traditional culture and art of the Inner Mongolia Autonomous Region of the People's Republic of China are undoubtedly a core component of nomadic culture. Therefore, in this study, we have focused on the traditional songs of the nomadic descendants of the Khorchin Right Wing Front Banner in the present-day Hinggan League. Specifically, we have examined the inheritance and transmission of these songs, their classification, and the social impact and trends associated with them.
A Review of Research on Correspondence and Processing of Legal Terminology in Legal Translation
Authors: Zhou Xiyu , Hu Caixia
Published: September 2024

This paper undertakes a comprehensive review of both domestic and international research on the correspondence and handling of legal terminology in legal translation. It critically examines the current state of research, highlighting key achievements, ongoing challenges, and potential future directions, while also incorporating the author’s perspectives and recommendations. The paper is structured into four main sections:The first section introduces the fundamental concepts of legal terminology and legal term correspondence, as well as their pivotal roles in the field of legal translation. It provides an in-depth analysis of the definitions and characteristics of legal terminology, alongside the definitions and classifications of legal term correspondence, underscoring their significance in the translation process.The second section delves into the principles and methodologies governing legal term correspondence. It synthesizes four primary principles identified by scholars both domestically and internationally. Furthermore, it outlines three commonly employed methods.The third section presents a case analysis focused on the correspondence between Chinese and English legal terminology, emphasizing the disparities between the two legal systems and their implications for legal term correspondence. The fourth section reviews the current landscape of research on legal term correspondence and handling, identifying prevalent issues. It concludes with suggestions for enhancing research quality and standards.
Big Data Dilemma: The Psychological Impact on Adolescents
Authors: Li Xinhang , Yu Miao , Zhao Zerui , Zhao Zerui
Published: September 2024

Big data, characterized by its vast volume, has revolutionized the landscape of information analytics across multiple domains. While recording digital footprints that users generate online, the big data learns the preferences of each user and thus can form precise user images, which helps marketing for major companies. By implementing content recommendation mechanism based on the big data, users, including a great number of adolescents, are constantly impacted by it. This research mainly investigates big data algorithms' influence on adolescent’s psychological state. By examining big data's impact on adolescent’s stress levels and cognitive growth, this study reveals both positive and negative effects on their psychological health, including increased engagement, improved social skill, alongside with potential risk of social media addiction, decreased self-confidence and higher level of anxiety. Improper usage can worsen psychological issues, while proper implementation allows early detection and intervention. This study integrates and summarizes current understanding big data and adolescent psychological health, discusses potential effects on adolescents and proposes future challenges with solutions.
Seni Lukis Realisme Kontemporer
Authors: Sungkar Anna
Published: September 2024

Melukiskan kembali alam dan manusia dengan bentuk-bentuknya yang proporsional sudah menjadi instink dari kemajuan umat manusia. Sehingga dengan begitu banyaknya penolakan terhadap terhadap realisme, namun gaya ini selalu muncul kembali. Adanya lukisan bison di gua Altamira atau Lascaux puluhan ribu tahun yang lalu, menunjukkan hasrat manusia untuk melakukan mimesis atas alam yang terhampar di sekelilingnya, perilaku ini sudah ada sejak dulu dan bertahan sampai sekarang. Begitulah kemampuan realisme menyesuaikan diri dengan situasi baru, dan mencari jawaban atas tantangan yang disodorkan kepadanya. Alasan lain mengapa realisme bertahan, adalah kecenderungan seni rupa yang mirip mode pakaian, ia bisa kembali dengan gaya lama dengan sedikit penyegaran.
TĂNG TRƯỞNG KINH TẾ BAO TRÙM VÀ BẪY NGHÈO ĐÓI Ở VIỆT NAM
Authors: Nguyễn Trung Hiếu
Published: September 2024

Bài viết này tập trung phân tích mối quan hệ giữa mô hình tăng trưởng kinh tế và thực trạng nghèo đói ở Việt Nam. Thông qua việc tổng hợp các lý thuyết nền tảng về tăng trưởng bao trùm và bằng chứng thực nghiệm về bẫy nghèo đói, nghiên cứu chỉ ra rằng: (i) Mặc dù, đạt tốc độ tăng trưởng cao và ấn tượng, song tính bao trùm trong mô hình tăng trưởng của Việt Nam còn hạn chế, thể hiện qua việc một bộ phận dân cư vẫn bị bỏ lại phía sau; (ii) Sự tồn tại dai dẳng của nghèo đói và bất bình đẳng cơ hội là một thách thức đáng kể, với nguy cơ hình thành các “bẫy nghèo đói” khiến người nghèo khó vươn lên thoát nghèo bền vững; (iii) Để giải quyết triệt để vấn đề này, cần có sự chuyển đổi mạnh mẽ sang mô hình tăng trưởng bao trùm hơn, chú trọng vào việc tạo cơ hội việc làm tốt, cải thiện khả năng tiếp cận dịch vụ xã hội cơ bản và tăng cường hệ thống an sinh cho người nghèo, bên cạnh các chính sách thúc đẩy tăng năng suất. Từ đó, nghiên cứu cũng đề xuất một số khuyến nghị chính sách cụ thể nhằm hiện thực hóa tăng trưởng bao trùm và xóa nghèo đói bền vững.
ẢNH HƯỞNG TÍCH CỰC CỦA TRIẾT LÝ NHÂN SINH PHẬT GIÁO ĐẾN ĐỜI SỐNG XÃ HỘI VIỆT NAM HIỆN NAY
Authors: Trần Thị Hoa
Published: September 2024

Phật giáo là một trào lưu tư tưởng ra đời ở Ấn Độ thế kỷ thứ VI (trước công nguyên), được du nhập vào Việt Nam khoảng thế kỷ II sau công nguyên. Với triết lý nhân sinh như từ bi hỷ xả, cứu khổ, cứu nạn, luân hồi, nghiệp báo,… Phật giáo đã có ảnh hưởng sâu sắc đến đời sống tinh thần xã hội Việt Nam. Đặc biệt, xu thế toàn cầu hóa và hội nhập quốc tế những năm gần đây đã tạo điều kiện để các tôn giáo, tín ngưỡng ở Việt Nam, trong đó có Phật giáo đang ngày càng gia tăng sức ảnh hưởng đến đời sống xã hội. Bài viết này làm rõ những nội dung cơ bản trong triết lý nhân sinh Phật giáo và những ảnh hưởng tích cực của nó đến đời sống xã hội Việt Nam hiện nay trên các phương diện đạo đức, văn hóa, nghệ thuật, bảo vệ môi trường,... Trên cơ sở đó, tác giả đề xuất khuyến nghị một số nhóm giải pháp nhằm phát huy hơn nữa những nhân tố tích cực, nhân văn của Phật giáo trong đời sống xã hội Việt Nam trong thời gian sắp tới
PHÁT TRIỂN NGUỒN NHÂN LỰC CHO ĐỔI MỚI SÁNG TẠO NHẰM ĐẨY MẠNH CÔNG NGHIỆP HOÁ, HIỆN ĐẠI HOÁ Ở VIỆT NAM TRONG GIAI ĐOẠN HIỆN NAY
Authors: Phan Thị Thành
Published: September 2024

Trong bối cảnh của cuộc Cách mạng công nghiệp lần thứ tư, đổi mới sáng tạo đã trở thành động lực chủ yếu và là chiến lược phát triển đất nước phù hợp nhất của các quốc gia. Nhân tố có tính quyết định hàng đầu để triển khai đổi mới sáng tạo đó chính là có chủ thể thực thi triển khai nó. Chủ thể này không phải ai khác chính là nguồn nhân lực. Nguồn nhân lực, đặc biệt là nhân lực chất lượng cao là lực lượng tinh túy, quan trọng cấu thành nguồn nhân lực của Quốc gia, nhân tố quan trọng trong sự nghiệp đẩy mạnh công nghiệp hóa, hiện đại hóa đất nước hiện nay
NHÂN DÂN MỸ VỚI CUỘC ĐẤU TRANH PHẢN ĐỐI CHIẾN TRANH XÂM LƯỢC CỦA MỸ Ở VIỆT NAM TỪ NĂM 1965-1975
Authors: Đào Thị Bích Hồng
Published: September 2024

Thắng lợi của cuộc kháng chiến chống Mỹ cứu nước đã kết thúc 30 năm chiến tranh cách mạng chống chủ nghĩa thực dân trên đất nước Việt Nam, xóa bỏ họa chia cắt đất nước, thu non sông về một mối, mở ra kỷ nguyên cả nước độc lập, thống nhất và đi lên chủ nghĩa xã hội. Đó là thắng lợi của sự kết hợp chặt chẽ sức mạnh tổng hợp của cả dân tộc Việt Nam, đồng thời cũng là thắng lợi có được từ phong trào đấu tranh phản đối chiến tranh của Mỹ tại Việt Nam của nhân dân yêu chuộng hòa bình trên thế giới, trong đó có phong trào đấu tranh của nhân dân Mỹ. Bài viết tập trung làm rõ những yếu tố tác động đến việc hình thành phong trào đấu tranh của nhân dân Mỹ trong phản đối cuộc chiến tranh của Mỹ tại Việt Nam trong những năm 1965-1975; làm rõ những kết quả cũng như giá trị từ phong trào phản đối chiến tranh của nhân dân Mỹ ngay tại Mỹ đối với thắng lợi của cách mạng Việt Nam.
MỘT SỐ NHÂN TỐ CƠ BẢN QUY ĐỊNH KHẮC PHỤC TÁC ĐỘNG CỦA MẶT TRÁI KINH TẾ THỊ TRƯỜNG Ở NƯỚC TA ĐẾN LỐI SỐNG SĨ QUAN TRẺ TRONG QUÂN ĐỘI
Authors: Administrator Anh
Published: September 2024

Những yếu tố cơ bản điều chỉnh việc giảm thiểu tác động của những mặt tiêu cực của nền kinh tế thị trường ở nước ta đến lối sống của sĩ quan trẻ trong quân đội là cơ sở để đề xuất các giải pháp khắc phục những tác động này. Những yếu tố này có vai trò quan trọng trong việc ngăn chặn sự xâm nhập và ảnh hưởng của những yếu tố tiêu cực của mặt trái kinh tế thị trường đến lối sống của sĩ quan trẻ. Đồng thời, tạo tiền đề cho việc bồi dưỡng, hoàn thiện nhân cách người chiến sĩ cách mạng, xây dựng đội ngũ cán bộ quân đội, trong đó có sĩ quan trẻ có bản lĩnh chính trị vững vàng, phẩm chất đạo đức tốt, lối sống trong sạch, lành mạnh, hoàn thành xuất sắc nhiệm vụ bảo vệ Tổ quốc trong bối cảnh mới hiện nay.
LIVELIHOOD SUPPORT FOR TRAFFICKING WOMEN RETURNED IN THE PERIOD OF 2019-2023 (Case study in Ha Giang province)
Authors: Ve
Published: September 2024

Ha Giang is a mountainous border province in the North of Vietnam, with a strategic location in terms of politics, economy, national defense and security of our country, to be home to many ethnic minorities. In recent years, with the attention and investment of the Party and State, along with the drastic efforts of the Border Guard, police, functional forces and local authorities, the illegal human trafficking across the border has been prevented and achieved many results. However, besides that, this buying and selling situation in the border area of ​​the province is still quite complicated. Among the victims of buying and selling, the majority are ethnic minority women. When trafficked back, victims face many difficulties in reintegrating into the community such as: psychological crisis, discrimination, lack of jobs, lack of production capital... Therefore, supporting victims of human trafficking to reintegrate into the community so that they have jobs, income, livelihood support, economic development and stable lives is extremely necessary
SỨC KHOẺ TÂM THẦN CỦA HỌC SINH TRUNG HỌC PHỔ THÔNG HẬU COVID-19
Authors: Nguyễn Lê Bảo Hoàng  , Sơn  , Quân
Published: September 2024

Những năm gần đây, các vấn đề liên quan đến sức khỏe tâm thần học sinh như stress, trầm cảm, lo âu,… xảy ra nhiều và có chiều hướng gia tăng. Vì vậy, nghiên cứu này được thực hiện nhằm làm rõ thực trạng sức khỏe tâm thần của học sinh trung học phổ thông sau đại dịch COVID-19. Mẫu nghiên cứu gồm 708 học sinh trung học phổ thông đến từ các trường tại Hà Nội, Đắk Lắk, TP. Hồ Chí Minh và Đồng Tháp, đại diện cho ba khu vực của Việt Nam. Kết quả khảo sát cho thấy, tỷ lệ học sinh gặp các vấn đề về sức khỏe tâm thần là khá cao, với lo âu là triệu chứng nổi bật nhất, vượt trội hơn so với các biểu hiện trầm cảm và stress. Những biểu hiện này liên quan đến áp lực học tập, kỳ vọng gia đình và sự gián đoạn xã hội trong bối cảnh hậu COVID-19 vừa qua. Qua đó, nhóm tác giả nhấn mạnh sự cần thiết của các chương trình hỗ trợ tâm lý học đường để giúp học sinh nhận diện và quản lý các vấn đề tâm lý tiêu cực một cách hiệu quả hơn
INTERAKSI GURU LAKI-LAKI DENGAN SANTRIWATI (Telaah Hukum Laki-laki Menyimak Suara Wanita)
Authors: Hasan Ayatullah Asy'ari Emha
Published: September 2024

Penelitian ini mengkaji perspektif hukum terkait interaksi guru laki-laki yang mendengarkan suara santriwati dalam konteks pendidikan Islam. Tujuan penelitian ini adalah untuk mengeksplorasi bagaimana interaksi tersebut dipandang dalam hukum Islam, khususnya mengenai apakah suara wanita dianggap sebagai aurat yang harus ditutupi. Menggunakan pendekatan kualitatif dengan analisis terhadap teks-teks fikih klasik dan kontemporer, penelitian ini mengeksplorasi pandangan berbagai ulama dari beberapa mazhab. Hasil penelitian menunjukkan bahwa suara wanita tidak dianggap sebagai aurat secara mutlak, namun terdapat kondisi-kondisi tertentu yang harus dipenuhi untuk menghindari fitnah. Penelitian ini memberikan kontribusi dalam diskusi mengenai interaksi gender di lingkungan pendidikan Islam dan menawarkan panduan tentang batasan yang ditetapkan oleh syariat.
Re-identification of Korean Isolates in the Colletotrichum dematium, C. magnum, C. orchidearum, and C. orbiculare Species Complexes
Authors: Thao Le Dinh , Choi Hyorim , Kang Donghun , Mageswari Anbazhagan , Lee Daseul , Kim Dong-Hyun , Choi In-Young , Shin Hyeon-Dong , Hong Seung-Beom
Published: September 2024

A large number of species in the genus Colletotrichum have been reported as causal agents of anthracnose on crops and wild plants in Korea. Many Colletotrichum isolates from the country preserved in the Korean Agricultural Culture Collection (KACC) were previously identified based on host plants and morphological characteristics, and it may lead to species misidentification. Thus, accurate fungal species identification using multilocus sequence analyses is essential for understanding disease epidemiology and disease management strategies. In this study, combined DNA sequence analyses of internal transcribed spacer, gapdh, chs-1, his3, act, tub2, and gs were applied to re-identify 27 Colletotrichum isolates in KACC. The phylogenetic analyses showed that the isolates resulted in 11 known species, they belong to the C. dematium species complex (C. hemerocallidis, C. jinshuiense, and C. spinaciae), the C. magnum complex (C. kaifengense and C. cf. ovatense), the C. orchidearum complex (C. cattleyicola, C. plurivorum, C. reniforme, and C. sojae) and the C. orbiculare complex (C. malvarum and C. orbiculare). Of them, C. cattleyicola, C. hemerocallidis, C. kaifengense, and C. reniforme were unrecorded species in Korea. In the view of host-fungus combinations, 10 combinations are newly reported in the world and 12 are new reports in Korea, although their pathogenicity on the host was not confirmed.
Capsicum annuum NAC4 (CaNAC4) Is a Transcription Factor with Roles in Biotic and Abiotic Stresses
Authors: Jia Guogeng , Thinn Khaing Shwe Zin , Kim Sun Ha , Min Jiyoung , Oh Sang-Keun
Published: September 2024

Transcription factors (TFs) regulate gene expression by binding to DNA. The NAC gene family in plants consists of crucial TFs that influence plant development and stress responses. The whole genome of Capsicum annuum shows over 100 NAC genes (CaNAC). Functional characteristics of the most CaNAC TFs are unknown. In this study, we identified CaNAC4, a novel NAC TF in C. annuum. CaNAC4 expression increased after inoculation with the pathogens, Xanthomonas axonopodis pv. vesicatoria race 3 and X. axonopodis pv. glycines 8ra, and following treatment with the plant hormones, salicylic acid and abscisic acid. We investigated the functional characteristics of the CaNAC4 gene and its roles in salt tolerance and anti-pathogen defense in transgenic Nicotiana benthamiana. For salt stress analysis, the leaf discs of wild-type and CaNAC4-transgenic N. benthamiana plants were exposed to different concentrations of sodium chloride. Chlorophyll loss was more severe in salt stress-treated wild-type plants than in CaNAC4-transgenic plants. To analyze the role of CaNAC4 in anti-pathogen defense, a spore suspension of Botrytis cinerea was used to infect the leaves. The disease caused by B. cinerea gradually increased in severity, and the symptoms were clearer in the CaNAC4-transgenic lines. We also investigated hypersensitive response (HR) in CaNAC4-transgenic plants. The results showed a stronger HR in wild-type plants after infiltration with the apoptosis regulator, BAX. In conclusion, our results suggest that CaNAC4 may enhance salt tolerance and act as a negative regulator of biotic stress in plants.
Arabidopsis MORC1 and MED9 Interact to Regulate Defense Gene Expression and Plant Fitness
Authors: Nam Ji Chul , Bhatt Padam Shekhar , Bonnard April , Pujara Dinesh , Kang Hong-Gu
Published: September 2024

Arabidopsis MORC1 (Microrchidia) is required for multiple levels of immunity. We identified 14 MORC1-interacting proteins (MIPs) via yeast two-hybrid screening, eight of which have confirmed or putative nuclear-associated functions. While a few MIP mutants displayed altered bacterial resistance, MIP13 was unusual. The MIP13 mutant was susceptible to Pseudomonas syringae, but when combined with morc1/2, it regained wild-type resistance; notably, morc1/2 is susceptible to the same pathogen. MIP13 encodes MED9, a mediator complex component that interfaces with RNA polymerase II and transcription factors. Expression analysis of defense genes PR1, PR2, and PR5 in response to avirulent P. syringae revealed that morc1/2 med9 expressed these genes in a slow but sustained manner, unlike its lower-order mutants. This expression pattern may explain the restored resistance and suggests that the interplay of MORC1/2 and MED9 might be important in curbing defense responses to maintain fitness. Indeed, repeated challenges with avirulent P. syringae triggered significant growth inhibition in morc1/2 med9, indicating that MED9 and MORC1 may play an important role in balancing defense and growth. Furthermore, the in planta interaction of MED9 and MORC1 occurred 24 h, not 6 h, postinfection, suggesting that the interaction functions late in the defense signaling. Our study reveals a complex interplay between MORC1 and MED9 in maintaining an optimal balance between defense and growth in Arabidopsis.
Spore PCR and qPCR Methods for Rapid Detection of Five Colletotrichum Species Responsible for Pepper Anthracnose in Korea
Authors: Jeong Haejun , Yoon Jonghan , Park Hoyoung , Son Min , Park Sook-Young , Kim Kwang-Hyung
Published: September 2024

Pepper anthracnose, caused by Colletotrichum spp., leads to a decrease in the quantity of pepper fruit production. Molecular diagnosis is crucial for rapid identification of pathogens and determination of fungicide resistance. However, the traditional process of isolating the pathogen, extracting genomic DNA, and analyzing the gene sequence is time-consuming, which delays rapid diagnosis. In this study, we introduced a method using conidia of Colletotrichum spp. instead of genomic DNA, eliminating the need for DNA extraction or special processing for diagnosis. To elucidate this method, sensitivity was assessed through polymerase chain reaction (PCR) and quantitative real-time PCR (qPCR) tests using internal transcribed spacer-based primer pairs. Both PCR and qPCR tests showed that detection is feasible with just one conidia, with over 1,000 conidia yielding results comparable to approximately 1 pg of genomic DNA. For amplifying the cytochrome b gene for quinone-outside inhibitor fungicide susceptibility testing, detection from a single conidium is achievable, but a stable PCR product is obtained by increasing the number of cycles to 35. Additionally, the addition of 10% grinding fresh chili pepper paste to V8-Juicea gar medium, which is known for inducing conidia rapidly from the isolates, resulted in 3.2 to 6.0 times more conidia compared to the commonly used potato dextrose agar medium, enhancing the potential for swift testing. Taken together, this study presents a direct utilization of pepper anthracnose conidia through PCR or qPCR, offering a valuable technique for amplifying target genes, such as the minimum conidial amount and barcode genes, for molecular identification of anthracnose disease in pepper through PCR and qPCR analysis.
Enhancing Conventional PCR for Detection of Erwinia amylovora
Authors: Choi Hyun Ju , Kim Yeon Ju , Choi Jeong Ho , Choi Dong Hyuk , Park Duck Hwan
Published: September 2024

Polymerase chain reaction (PCR) methods, including conventional PCR (cPCR) and quantitative real-time PCR (qRT-PCR), with both plasmid- and chromosome-targeting primers, are currently the most reliable methods for detecting Erwinia amylovora due to their high sensitivity and specificity. Despite qRT-PCR’s quantitative advantage, cPCR remains an attractive method to detect this bacterium in initial screenings of suspected host plants, as it is cost-effective and does not require skilled personnel in well-equipped laboratories. This study aimed to significantly improve cPCR robustness via application of bovine serum albumin (BSA) as a PCR facilitator, with a modified EaF/R primer pair, as previously reported. Experiments have shown that simple supplementation with BSA (10 mg/ml) enhances cPCR reactions using templates such as genomic DNA, bacterial cells, and infected symptomless host organs, including immature apple fruits and seedlings, with EaF/R primers. The cPCR method described in this study is simple, specific, and reliable, and can be applied in routine assays to diagnose fire blight.
Drone Detection Performance Evaluation via Real Experiments with Additional Synthetic Darkness
Authors: Oruç Furkan , Yılmaz Hüseyin Birkan
Published: September 2024

Detecting drones is increasingly challenging, particularly when developing passive and low-cost defense systems capable of countering malicious attacks in environments with high levels of darkness and severe weather conditions. This research addresses the problem of drone detection under varying darkness levels by conducting an extensive study using deep learning models. Specifically, the study evaluates the performance of three advanced models: Yolov8, Vision Transformers (ViT), and Long Short-Term Memory (LSTM) networks. The primary focus is on how these models perform under synthetic darkness conditions, ranging from 20% to 80%, using a composite dataset (CONNECT-M) that simulates nighttime scenarios. The methodology involves applying transfer learning to enhance the base models, creating Yolov8-T, ViT-T, and LSTM-T variants. These models are then tested across multiple datasets with varying darkness levels. The results reveal that all models experience a decline in performance as darkness increases, as measured by Precision-Recall and ROC Curves. However, the transfer learning-enhanced models consistently outperform their original counterparts. Notably, Yolov8-T demonstrates the most robust performance, maintaining higher accuracy across all darkness levels. Despite the general decline in performance with increasing darkness, each model achieves an accuracy above 0.6 for data subjected to 60% or greater darkness. The findings highlight the challenges of drone detection under low-light conditions and emphasize the effectiveness of transfer learning in improving model resilience. The research suggests further exploration into multi-modal systems that combine audio and optical methods to enhance detection capabilities in diverse environmental settings.
Further Results for Hermite-Based Milne-Thomson Type Fubini Polynomials with Trigonometric Functions
Authors: Kılar Neslihan
Published: September 2024

This paper examines generating functions of r-parametric Hermite-based Milne-Thomson polynomials. Using generating function methods, the relationships among these polynomials, Fubini type polynomials, and trigonometric functions are given. Moreover, new formulas are derived by utilizing not only the generating functions of these polynomials but also associated functional equations. These formulas pertain to r-parametric Hermite-based sine-and cosine-Milne-Thomson Fubini polynomials, as well as Stirling type polynomials and numbers. Additionally, by analyzing special cases of newly obtained results, some known formulas are also derived. Furthermore, some identities involving secant and cosecant numbers are derived through the properties of trigonometric functions. Special polynomials and their generating functions are an important tool for solving some problems in many areas such as combinatorics and number theory. By introducing new formulas, this paper significantly enhances these problems-solving abilities in these areas. Consequently, these results have potential to shed light on important applications in mathematics, engineering, and mathematical physics.
Research of technological parameters for producing thermal insulating arbolite based on developed slag alkali binders
Authors: Imanaliyev Kuanysh , Amiraliyev Baurzhan , Akmalaiuly Kenzhebek , Kuldeyev Erzhan , Yunusaliyev Elmurad , Aymenov Zhambul
Published: September 2024

The paper presents the results of studies of an arbolite block made from rice husks. Granulated blast furnace slag of «Qarmet» OJSC and Dzhambul phosphorus slag were used as slag-alkali binders. The resulting material was examined for basic thermal and mechanical characteristics. As a result, it was found that the adhesion strength of the developed slag-alkali binders with rice husks exceeds the adhesion strength of Portland cement with the latter by 1.40 - 4.08 times, where slag-alkaline arbolite was obtained based on rice husks with an average density of 450-800 kg/m3 and a strength of 0.6 – 3.41 MPa. The frost resistance of the developed wood concrete compositions ranges from 15 to 30 cycles of alternating freezing and thawing. The results of this study can be used in the future when designing energy-efficient buildings.
Cross-Domain Aspect-Based Sentiment Analysis for Enhancing Customer Experience in Electronic Commerce
Authors: Xu Yadi , Ibrahim Noor Farizah
Published: September 2024

Cross-Domain ABSA has proved effective in extracting more descriptive sentiment information from the reviews or feedback as an important step in improving the experience of the customers in electronic commerce. This work examines the performance of ABSA in the cross-domain scenario where models trained on the review data of one domain for example electronics domain are applied to another domain such as fashion domain. Here, we put forward a risk mitigation strategy that builds upon transfer learning and domain adversarial training methodologies to enhance the overall resilience and reliability of sentiment estimations across multiple product domains. The proposed model was tested using data obtained from different e-commerce retailers, such as Amazon, eBay, and Alibaba concerning various categories of products including electronics, fashion, and home appliances. The outcome of experiments show better performance over most of the compared methods of single-domain ABSA and cross-domain approaches. The model offered greater accuracy, recall rate, F1- score, and cross-domain efficiency, which demonstrated the model’s effectiveness and versatility. The consequences for e-business companies are significant. Improved sentiment analysis allows businesses to obtain more specific data about customers’ opinions, correct mistakes when developing products, and adjust their advertising approaches. Also, the use of advanced text analytics to measure and monitor such aspects in different product areas offers a competitive edge and improves product innovation decisions. However, there are several limitations to the study itself, such as the variations that may arise among the domain, and the limited availability of the data. Further work is to be done on more complex and sophisticated methods of domain adaptation, using external resources; the main model itself should also be much faster and more efficient in scalability. This work thus indicates an opportunity for cross-domain ABSA to generate practical insights for enhancing customers’ experience within e-commerce
Enhancing Wildfire Forecasting Through Multisource Spatio-Temporal Data, Deep Learning, Ensemble Models and Transfer Learning
Authors: Jadouli Ayoub , El Amrani Chaker
Published: September 2024

This paper presents a novel approach in wildfire prediction through the integration of multisource spatiotemporal data, including satellite data, and the application of deep learning techniques. Specifically, we utilize an ensemble model built on transfer learning algorithms to forecast wildfires. The key focus is on understanding the significance of weather sequences, human activities, and specific weather parameters in wildfire prediction. The study encounters challenges in acquiring real-time data for training the network, especially in Moroccan wildlands. The future work intends to develop a global model capable of processing multichannel, multidimensional, and unformatted data sources to enhance our understanding of the future entropy of surface tiles.
EHR Innovations: Shedding Light on Anemia in the Healthcare Paradigm
Authors: Das Souhardya , Mondal Proma , Chaki Shambhab , Rakshit Pratyusha , Chowdhury Archana
Published: September 2024

This study introduces a novel approach to Electronic Health Record (EHR) analysis, extending the use of phenotyping with machine learning (ML) models to enhance the recognition and treatment of anemia. It first examines the healthcare scenario in India and suggests potential improvements through data-driven personalized care. Using the MIMIC-III dataset, the research involves extensive data preprocessing and analysis to uncover key insights into anemia’s prevalence, gender distribution, comorbidities, and Intensive Care Unit (ICU) stays. Partitioning clustering algorithms like K-Means, K-medoids, Fuzzy C-means, and hierarchical clustering algorithms such as Agglomerative Clustering, DIANA, and HDBSCAN are used to identify groups of patients with similar medical profiles. The distance metrics employed are Levenshtein and Euclidean distances combined with TF-IDF Vectorization. The effectiveness of these algorithms is evaluated based on Length of Stay (LoS) estimation, a critical parameter in EHR studies. To predict a new patient’s LoS, the patient is at first classified into an existing cluster, which shows the highest support to the patient’s clinical activities. A decision tree regressor is then trained using data from the selected cluster to predict the new patient’s LoS, significantly improving predictive accuracy and reliability. Notably, the HDBSCAN algorithm, applied to the Tf-Idf Vectorizer object, achieves a 50.82% reduction in Root Mean Squared Error (RMSE) compared to baseline model. The novelty of this study lies in proposing an efficient approach for EHR analysis, specifically for predicting ICU patients’ LoS, and identifying the most effective clustering algorithm to improve healthcare delivery for anemic patients in healthcare scenario of India.
Predicting Mandibular Bone Growth Using Artificial Intelligence and Machine Learning: A Systematic Review
Authors: Dashti Mahmood , Khosraviani Farshad , Azimi Tara , Sehat Mohammad Soroush , Alekajbaf Ehsan , Fahimipour Amir , Zare Niusha
Published: September 2024

Introduction The accurate prediction of mandibular bone growth is crucial in orthodontics and maxillofacial surgery, impacting treatment planning and patient outcomes. Traditional methods often fall short due to their reliance on linear models and clinician expertise, which are prone to human error and variability. Artificial intelligence (AI) and machine learning (ML) offer advanced alternatives, capable of processing complex datasets to provide more accurate predictions. This systematic review examines the efficacy of AI and ML models in predicting mandibular growth compared to traditional methods. Method. A systematic review was conducted following the PRISMA guidelines, focusing on studies published up to July 2024. Databases searched included PubMed, Embase, Scopus, and Web of Science. Studies were selected based on their use of AI and ML algorithms for predicting mandibular growth. A total of 31 studies were identified, with 6 meeting the inclusion criteria. Data were extracted on study characteristics, AI models used, and prediction accuracy. The risk of bias was assessed using the QUADAS-2 tool. Results. The review found that AI and ML models generally provided high accuracy in predicting mandibular growth. For instance, the LASSO model achieved an average error of 1.41 mm for predicting skeletal landmarks. However, not all AI models outperformed traditional methods; in some cases, deep learning models were less accurate than conventional growth prediction models. Discussion. The variability in datasets and study designs across the included studies posed challenges for comparing AI models’ effectiveness. Additionally, the complexity of AI models may limit their clinical applicability. Despite these challenges, AI and ML show significant promise in enhancing predictive accuracy for mandibular growth. Conclusion. AI and ML models have the potential to revolutionize mandibular growth prediction, offering greater accuracy and reliability than traditional methods. However, further research is needed to standardize methodologies, expand datasets, and improve model interpretability for clinical integration.
Analisis Pemahaman Kebijakan Hukum Terhadap Bullying dalam Pendidikan di Sekolah Menengah Pertama
Authors: Hikmah Nur
Published: September 2024

This study aims to find out the understanding of legal policies on bullying in education in junior high schools. This research is an analysis of the study of policies that regulate bullying. The type of research used is qualitative descriptive based on research sources and the development of experts and legal experts. All data collected is data derived from the results of expert analysis that is developed and adapted to the current situation. The data analysis process used is qualitative data analysis with the stages of data reduction, data presentation, and conclusion drawing. The results of data analysis show that children's development without strong monitoring and assistance will result in children easily falling or being affected by self-motivation without any boundaries that they understand and fear. Children in the immature category without sufficient experience will be able to feel okay by committing bullying behavior. The lack of understanding of students and children towards the provisions and policies of the law that regulates bullying makes children or students feel uncontrolled in committing bullying or as a victim of bullying
Empowerment of Bamboo Weaving Crafts by Women Farmers Group Dana Mertha Mesari, Kayubihi Village
Authors: Putra I Gst. B. Ngr. P. , Jayawarsa Anak Agung Ketut , Maharani Ida Ayu Dinda Priyanka
Published: September 2024

Bamboo woven craft artisans in Kayubihi Village, especially Banjar Bangklet-Kayang, come from mothers, especially those who work as farmers. The problems faced by partners include: 1) Bookkeeping is still done conventionally so that it is less effective and efficient; 2) Distribution and marketing of products are carried out traditionally so that the scope of the product market share is still minimal; 3) the availability of facilities and infrastructure, raw materials, and auxiliary materials has reached the end of its economic life. The solutions offered to this problem are 1) Financial Transaction Recording Training and Provision of a Digitalized Financial Recording System; 2) Provision of a Website as a Form of Marketing Strategy and Online Marketing Strategy Training; 3) Provision of Production Supporting Facilities and Infrastructure.
Sosyal Medya Bağımlılığının Kompulsif Çevrimiçi Satın alma Davranışı Üzerine Etkisinde Kontrolsüz Kredi Kartı Kullanımının Aracılık Rolü
Authors: Karataş İbrahim Atilla
Published: September 2024

Amaç: Bu çalışmanın temel amacı sosyal medya bağımlılığının kompulsif çevrimiçi satın alma davranışının gerçekleşmesinde kontrolsüz kredi kartı kullanımının aracılık rolünü incelemektir. Gereç ve Yöntem: Çalışmanın gerçekleştirilmesinde 391 katılımcı yer almıştır. Veriler anket tekniği ile toplanmıştır. Aracılık rolünün belirlenmesinde Jamovi 2.4.14 programından faydalanılarak bootstrap tekniği kullanılmıştır. Bulgular: Yapılmış olan faktör analizi sonucuna göre sosyal medya bağımlılığı faaliyetleri çevre farkındalığının azalması ve iletişim bağımlılığı adı altında iki alt boyut halinde oluşmuştur. Analiz sonucunda sosyal medya bağımlılığı faaliyetlerinin iki boyutunun da (çevre farkındalığının azalması ve iletişim bağımlılığı) kompulsif çevrimiçi satın alma davranışını etkilediği tespit edilmiştir. Ayrıca, sosyal medya bağımlılığının kontrolsüz kredi kartı kullanımını etkilediği sonucuna da ulaşılmıştır. Sosyal medya bağımlılığı faaliyetlerinin kompulsif çevrimiçi satın alma davranışı üzerine etkisinde kontrolsüz kredi kartı kullanımının aracılık rolünün olduğu da istatistiki açıdan elde edilmiştir. Sonuç: Ulaşılan bu sonuçlara göre sosyal medya bağımlılığı faaliyetlerine maruz kalan tüketicilerin kompulsif çevrimiçi satın alma davranışlarının oluşumunda kontrolsüz kredi kartı kullanımının etkisi bulunmaktadır. Bu etkinin sosyal medya bağımlılığının alt boyutu olan ‘’çevre farkındalığının azalması’’ açısından biraz daha belirgin olduğu görülmektedir.
Gastronomi Eğitiminde Sanal Gerçeklik Teknolojilerinin Kullanımına Yönelik Gastronomi Akademisyenlerinin Görüşlerinin İncelenmesi
Authors: Ünür Kağan , Sünnetçioğlu Serdar
Published: September 2024

Sanal gerçeklik teknolojileri günümüzün hızla gelişen teknolojilerinden birisidir. Özel sektörde tehlike içeren ve yüksek maliyet gerektiren eğitimlerin sanal gerçeklik teknolojisiyle verildiği görülmektedir. Bununla şirketler tehlikelerden ve ekonomik masraflardan büyük oranda kaçınabilmektedir. Faydaları görülen bu teknolojilerin okullarda verilen eğitimlerde de kullanılabilirliği birçok alanda araştırılmaktadır. Bu nedenle, çalışmanın amacı gastronomi alanında sanal gerçeklik teknolojilerinin kullanılmasına yönelik gastronomi akademisyenlerinin görüşlerini ortaya çıkarmak ve incelemektir. Çalışmada Çanakkale Onsekiz Mart Üniversitesi Gastronomi ve Mutfak Sanatları Bölümü’ nde eğitim veren gastronomi akademisyenlerine Lost Recipes adlı sanal gerçeklik uygulaması denetilerek görüşleri ele alınmıştır. Bulgulara göre negatif yönleri bulunsa da tekrarlanabilme özelliği, eğlendirici olması, ilgi çekmesi, keyif vermesi ve mutfak uygulamalarında giriş davranışları oluşturarak mutfağa alıştırmaya imkan tanıması gibi pozitif yanları da bulunmaktadır. Bu nedenle sanal gerçekliğin pozitif yanlarının negatif yanlarına göre daha ön planda olması ve akademisyenlerin bu teknolojilere sıcak baktığı görülmektedir. Sonuç olarak gastronomi eğitiminde sanal gerçeklik teknolojilerinin kullanılmasında gastronomi akademisyenlerinin görüşlerinin olumlu yönde olduğu tespit edilmiştir.
TLS noise reduction in microwave kinetic inductance detectors using a parallel plate capacitor with a three-layer dielectric
Authors: Ehsani Fatemeh Zahra
Published: September 2024

Over the past two decades, microwave kinetic inductance detectors (MKIDs) have gained exceptional importance in millimeter and sub-millimeter astronomy. MKIDs consist of thin strip resonators capable of detecting changes in the surface impedance of superconductor strips, which result from variations in resonance circuit properties. The principal noise in MKIDs comprises excess frequency noise and two-level system noise. In this paper, we propose a technique to mitigate the effect of two-level system (TLS) noise in MKIDs using a parallel plate capacitor with three layers of high ε dielectrics. To achieve this, we employ three layers of Al2O3, HfO2, and TiO2 with equal thickness between the capacitor plates. The experimental results demonstrate a nearly 30% reduction in TLS power spectral density.