bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Impact of Carbon Finance on Green Innovation of New Energy Enterprises
Authors: Qiao Tianhao
Published: August 2024

The development of green finance, especially the development of carbon finance, can greatly stimulate the green innovation power of enterprises. Green innovation is the key driving force for enterprises to cope with environmental challenges and achieve high-quality development. Under the background of "dual carbon" goal, how to dedicate full attention to guiding role of carbon finance in the development of green innovation of new energy enterprises has become an important topic. New energy enterprises are selected by this paper from 2000 to 2021 to analyze A robustness test is conducted to examine the influence in carbon finance on the green innovation of new energy enterprises. It is found that carbon finance helps to increase the level of green innovation of new energy enterprises, and has the least promotion effect on green invention patents. The mechanism test results show that carbon finance is a suitable environment for green innovation in new energy enterprises by reducing The financial limitations of enterprises. Carbon finance is conducive to improving the businesses' R&D expenditures, so encouraging green innovation in new energy businesses. Lastly, we offer specific policy recommendations and useful takeaways from the research to serve as a helpful resource for advancing green innovation in new energy company ventures.
Case Study: Analysis of Tencent's "CIM+" Smart Transportation Construction Advantage
Authors: Yu Liangying
Published: August 2024

In the current era of digitization, networking, and intelligence, realizing the importance of transportation infrastructure alongside internet connectivity and urban development is crucial. This article focuses on Tencent's efforts in smart transportation construction, aiming to understand its unique advantages in traffic service development compared to other companies. Additionally, the study explores the practical application of CIM technology in Tencent's transportation domain, facilitating the intelligent evolution of the transportation sector. By examining Tencent's strategies, technical capabilities, and comprehensive planning, we can gain a better understanding of their competitive edge in the field of traffic service development. Overall, this research aims to comprehensively understand Tencent's smart transportation initiatives, highlighting their advantages in traffic service development, and showcasing the transformative power of CIM technology in driving intelligent transportation solutions.
Impacts of China's Stock Market Registration System and Future Insights
Authors: Zhou Miaohan
Published: August 2024

This study will explore the impact of the registration system on the stock market after China changed from the approval system to the registration system. Under the approval system, the government monopolizes the right to review stock listings in the approval system. Therefore, this situation not only easily creates the government's monopoly power but may also lead to companies over-packaging IPO application materials to increase the possibility of passing the review. This will cause the government to spend too much time and energy conducting substantive studies of corporate application materials, reducing work efficiency. Therefore, the registration system will be officially implemented in March 2023. The proposed research will investigate the issuance and distribution of new shares, changes in the price-earnings ratio, and changes in the latest lottery rate and yield, as well as the changes in the hairstyle system and how it performed after listing (industry, valuation, and average growth rate) to conduct a comprehensive analysis. Thus, the existing research results are used to propose the impact of the registration system on the Chinese stock market.
Harnessding the Power of Machine Learning to Superchange CAPM Forecasts
Authors: Zhang Shuangzi
Published: August 2024

This paper investigates the improvement of the Capital Asset Pricing Model (CAPM) by incorporating machine learning techniques. The objective is to address the model's conventional constraints in accurately predicting stock returns. The conventional Capital Asset Pricing Model (CAPM), which heavily depends on the beta coefficient to explain returns, frequently proves inadequate in emerging markets and neglects to consider market irregularities such as size and value effects. Our methodology enhances the estimation of beta by refining the Capital Asset Pricing Model (CAPM) to exclude the intercept term and incorporating a dynamic rolling regression method. This approach captures the fluctuations of beta more effectively across different periods, resulting in a more precise estimation. This study utilises ten years of weekly closing price data from companies listed on the NSE Nifty 50 index. It employs rolling regression and two-stage regression analysis to improve the prediction of excess returns above the risk-free rate. The revised CAPM model, which omits the intercept, exhibits a superior level of accuracy, as evidenced by higher adjusted R-squared values and improved F-statistics. In addition, the paper analyses the Fama-French models within the Chinese stock market and explores the potential of advanced machine learning models, such as Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN), to improve forecasting methods in unpredictable markets. Integrating LSTM-RNN models presents a promising approach to capturing intricate patterns in financial time series data, demonstrating substantial enhancement in forecasting accuracy compared to conventional methods such as OLS.
An Analysis of Luckin Coffee's New Marketing Model from the Perspective of Behavioral Finance
Authors: Ma Xinyue
Published: August 2024

With the development of Internet technology, Luckin Coffee has transformed the traditional value creation model, driven by customer value as the goal, and established its brand effect in a short period of time through financing. However, the excessive and rapid expansion led to financial crisis, which caused it to fall into the negative vortex of financial fraud, and finally returned to the consumer market at the cost of delisting and restructuring in the United States. After returning to the market, Luckin Coffee changed its business operation model, and the reform of the new marketing model focusing on products and customers made its financial turnaround and rebuilt its brand value. How does Luckin Coffee take advantage of consumers' psychology and guide their consumption preferences? Based on the perspective of behavioral finance, this paper analyzes how the operation management team of Luckin Coffee reconstructs its marketing methods and paths by utilizing the anchoring effect of consumers, limited attention transactions and herd effect. The research conclusion shows that the new marketing model with consumer demand caused by consumer psychology as the core can effectively and rapidly increase the number of new customers and improve customer retention. Luckin Coffee has also quickly passed the crisis after delisting and restructuring, and its business performance and corporate value have also gradually increased. The brand value has returned to the vision of consumers, and the future is promising.
Analysis of Lululemon's Social Media Marketing Strategies
Authors: Chen Yanjin , Li Yixuan , Mu Yufan , Ou Shiyu , Zhang Tianrun
Published: August 2024

Lululemon, a prominent athletic apparel brand, has established a formidable marketing strategy that blends product innovation, community engagement, and digital integration to create a strong brand identity and loyal customer base. By targeting the high-end sportswear market and cultivating a strong brand image, Lululemon has garnered favor among upscale consumers and positioned itself as a promoter of healthy lifestyles. However, despite its considerable achievements, Lululemon faces challenges, including the need for continuous innovation to meet emerging consumer demands and the imperative to enhance data privacy protections in the face of growing concerns. This essay mainly studies Lululemon's marketing strategy and reveals insights into how a brand can successfully create and maintain a loyal customer base. The methods in this essay are collecting the materials on the Lululemon official website, and observing its presence on social media. By analyzing Lululemon's approach, marketers can learn valuable lessons on the importance of authenticity, community-building, and experiential marketing in building a successful and enduring brand.
A Financial Analysis and Valuation of Agnico-Eagle Mines Ltd
Authors: He Jingze
Published: August 2024

The purpose of this article is to analyze the market environment and financial position of Agnico Eagle Mining Company in order to provide investment advice. AEM occupies an important position in the global mining industry. Despite the apparent cyclical nature of the mining industry, AEM has also benefited from the recovery in commodity prices and the recovery in mining company profits since 2015. This article analyzes and evaluates the financial performance and market value of Agnico Eagle (AEM) from various aspects, such as financial ratio analysis, discounted cash flow (DCF) model, relative valuation method, industry trend analysis, and risk assessment. This paper evaluates AEM's liquidity, solvency and profitability by comparing key metrics such as quick ratio, current ratio, long-term debt ratio, cash ratio, total debt ratio and interest coverage ratio. It also analyzes global gold demand, mining market recovery, and critical metals market dynamics, providing context for AEM's future revenue forecasts and strategic decisions. After a comprehensive analysis, AEM is considered to have good growth potential and competitive advantages, making it suitable for investors looking for stable returns.
Revenue Model of Professional Tennis Players Signed under IMG Sports Brokerage Firm
Authors: Jia Huiwen
Published: August 2024

In the context of the flourishing professional tennis leagues and the increasing prominence of commercial value, how to effectively cultivate and promote tennis players has become a focal point for the sports industry and the agency sector. Employing case analysis and literature review methods, this research delves into the training costs and income sources of tennis players, as well as the role of sports management companies in this process. The study initially points out that nurturing a top-tier tennis player requires substantial financial input. However, once the athlete achieves significant success, the returns are highly lucrative, primarily deriving from competition prize money, brand sponsorships, and revenues from commercial activities. Sports management companies, such as IMG, play a crucial role in the selection, training, and commercial promotion of athletes. Through their professional operations, they significantly enhance the commercial value of the athletes. The study provides a detailed analysis of how sports management companies systematically cultivate athletes and maximize their commercial value through diversified means. The findings indicate that the involvement of sports management companies is crucial for enhancing the commercial value and competitiveness of athletes. Addressing the current situation of training and agency management for Chinese tennis players, this paper proposes several recommendations, including improving the legal framework, promoting diversification in sports training, and implementing a "trinity" training mechanism, etc. These recommendations aim to promote the holistic development of Chinese tennis players and advance the standardization and professionalization of the tennis agency industry.
Can GPT Help Improve Robo-advisory? The Construction of Robo-advisor for Users with Low Investment Experience Based on LLM
Authors: Feng Zeyu
Published: August 2024

Robo-advisors have emerged as a significant innovation in investment management, offering automated financial advice to investors. However, user acceptance remains a challenge, particularly among those with limited investment experience. This paper explores the potential of large language models (LLMs) to enhance the interaction attributes of robo-advisor products and increase acceptance among novice investors. The study contributes to the existing literature by exploring the application of LLMs in robo-advisors, supplementing the exploration of interaction design, and systematically reviewing the service processes of current robo-advisor products. Findings suggest that existing robo-advisor products have room for improvement in interaction attributes and algorithmic mechanisms. Through theoretical exploration, this paper proposes methods for optimizing robo-advisor products by integrating LLMs. In conclusion, this research lays the groundwork for designing robo-advisor products with integrated LLM functionality, offering theoretical references for practitioners and researchers in financial technology. Future research directions include exploring user expectations and conducting controlled experiments to analyze the impact of LLM integration on user decisions.
A Comparative Analysis of Machine Learning Algorithms for Predicting the Telemarketing Campaigns of Portuguese Banking Institutions
Authors: Huang Shiyue
Published: August 2024

A financial institution is an entity of business that handles deposits, money circulation, saving, and other corresponding operations. Banks supply a broad spectrum of services. This differs depending on the capacity of each bank. The bank is going to provide further amenities, which is one of the many industries that frequently engage in direct product launches. Thus, banks might employ technological innovations to do market investigation before directly releasing products, which may assist with decision-making. Marketing initiatives that offer prospective consumers the option of embracing or rejecting an offered product can be carried out using direct email, phone calls, and email campaigns. The volume of incoming data continues to expand as time goes by. One of the bank institutions in Portugal faced difficulties judging whether or not its customer base would choose to sign up for a term deposit because of the growing amount of data. Consequently, to ascertain if the consumer will subscribe to a term deposit, the data mining processes utilized here will incorporate Ensemble Learning (Gradient Boosting (GB), Xg Boost (XGB), Random Forest (RF), Linear Models (Logistic Forest (RF), Linear Models (Logistic Regression (LR), Non-Linear Models (K-Near Neighbors (KNN), Support Vector Machine (SVM), Decision Tree Classifier (DT)), and Probabilistic Models (Naive Bayes (NB))included in classification techniques. Among these, Xg Boost yields the most impressive results, with the best performance in terms of AUC, model accuracy, and cross-validation accuracy in a minimum amount of computation time.
Fast Food Industry Strategy Analysis: Evidence from the Yum! Brands
Authors: Zheng Xuying
Published: August 2024

Yum! Brands (YB) is a world-famous fast food chain group, and its business strategy and model are typical in the industry. With the deepening of digital transformation, it brings both opportunities and challenges to the fast food industry. Specific analysis of YB's external environment, internal environment and financial statements during this article. The analysis shows that YB has advantages in terms of market position, supply chain management and brand awareness, but its disadvantages are over-reliance on the franchise model and single market. Meanwhile, it also faces external opportunities and threats such as digital transformation and economic fluctuations. To improve the level of YB's strategic planning, this paper proposes targeted strategic choices and implementation schemes based on the analysis results, including exploiting health products and increasing investment in emerging markets, etc. This paper aims to help YB consolidate its position and develop in the fierce market competition. It also provides a reference for the overall strategic planning of the future fast food industry.
Analysis of Operational Strategies for POP MART Based on SWOT Analysis
Authors: He Xin
Published: August 2024

With the development of POP MART, many people are curious to know how their industry developed. The analysis of POP MART in this paper has certain references and learning significance for the market. This paper employed the SWOT analysis method to evaluate the strengths and weaknesses of POP MART, while also assessing the market to determine the company's profitability. The analysis aimed to understand POP MART's competitive position and financial performance comprehensively. Based on recent research, the rapid development of POP MART can be attributed to its ability to effectively cater to the evolving shopping preferences of the younger demographic and adapt to the changing socio-economic landscape. This adaptability has allowed POP MART to successfully align itself with the dynamic demands of the current era, thereby driving its accelerated growth within the retail sector. This multidimensional exploration of both frameworks offers valuable insights for stakeholders and decision-makers in the retail industry.
Penerapan Metode RAD dalam Sistem Ujian Penerimaan Mahasiswa Baru di Universitas Catur Insan Cendekia
Authors: Lutfi Muhammad , Asfi Marsani , Sevtiana Agus
Published: August 2024

The university and college student admission process includes various selection methodslike written and psychological exams. Not all institutions rely on exams; some use academic achievements, such as certificates or awards, like Catur Insan Cendekia University. Currently, there's no online exam application for new student registration. The development of a web-based interactive application aims to simplify registration for prospective Catur Insan Cendekia University students. It employs Potential Test Academics and Academic Aptitude Tests to assist in entrance selection. This application is expected to greatly aid in the new student admissions process. Implementing the RAD system in new student admission has successfully created a tool to conduct exams for prospective students. Embracing technology in online exams has increased, leveraging automation and efficiency. Technological advancements have notably reduced manual workloads, expediting processes and enhancing the online exam system.
Metode Simple Additive Weighting (SAW) dalam pemberian Reward Berdasarkan Hasil Kerja Karyawan PT.Berkah
Authors: Yusran Rio Rahmat , Yusran Resadana
Published: August 2024

Reward is a gift or appreciation to employees for having good achievements in completing work assignments. On average, each company gives rewards to employees according to predetermined rules. Rewording has different standards and criteria. The problems that occur in this study are errors that often occur in giving rewords to employees who have the ability to work compared to other employees, frequent selection of employees who are not on target, the system used still uses a manual system and requires a long time in the selection process. The Simple Additive Weighting (SAW) method is capable of completing awarding employees according to the alternative criteria and weight values used. The criteria used are absence, responsibility, work loyalty, discipline, work results. The final result obtained in the awarding of work results on behalf of Muhamad Hanafi with a final score of 0.95 which is in the highest ranking.
Penerapan Sistem Informasi Desa Pero Dalam Memajukan Potensi Hasil Pangan
Authors: Lede Stanis , Mau Stefanus D.I.
Published: August 2024

Sistem informasi merupakan suatu kumpulan data informasi yang ada pada suatu organisasi baik berupa kantoran, akademik maupun lainnya dan dilakukan penyimpanan, editing, dan pendistribusian informasi terhadap masyarakat. Pada Desa Pero Masyarakat banyak yang mengalami kesulitan dalam mengtahui informasi tentang program serta prosedur pelayanan yang ada di desa Pero. Ini disebabkan oleh kurangnya sosialisasi yang diadakan oleh aparat  desa, terutama bagi masyarakat yang pekerjaannya petani. Informasi yang tersusun dengan rapi dan baik akan mempermudah masyarakat untuk mendapatkan informasi mengenai desa Pero. Oleh karena itu permasalahan di atas yang mendasari peneliti untuk membuat sebuah sistem informasi berbasis website desa pero. Hasil dari penelitian ini website yang dibangun sudah memenuhi informasi yang ada pada desa pero sehingga masyarakat desa pero bisa mengetahui segala informasi maupun aktifitas yang ada pada kantor desa.
Klasifikasi Kepribadian Myres-Briggs Type Indicator Menggunakan Metode TF-IDF dan Naive Bayes Classifier
Authors: C Annisa , Wibisono Iwan Setiawan
Published: August 2024

Tipe kerpibadian seseorang biasanya dapat diketahui dengan menggunakan psikotes. Salah satu jenis psikotes yang sering digunakan adalah Myres-Briggs Type Indicator (MBTI). Sebuah aplikasi berbasis web yang dapat melakukan klasifikasi tipe kepribadian seseorang berdasarkan cuitan di Twitter diharapkan dapat menjadi salah satu alternatif untuk mengetahui tipe kepribadian seseorang tanpa perlu mengikuti psikotes secara konvensional. Selain itu, hasil psikotes juga dapat diketahui secara langsung. Aplikasi ini dibuat dengan menggunakan teknik text mining, yaitu dengan menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF) dan metode klasifikasi Naive Bayes Classifier. Metode TF-IDF digunakan untuk memberikan pembobotan kata dari data training dan metode Naive Bayess Classifier digunakan untuk mengklasifikasikan data testing berdasarkan data yang telah dilatih sebelumnya. Data akan dibersihkan terlebih dahulu sebelum dilatih maupun diuji melalui proses preprocessing sehingga informasi yang dihasilkan dapat menjadi lebih akurat. Hasil dari penelitian ini adalah dari 100 data yang diuji, 71 data termasuk kategori klasifikasi benar sesuai dengan labelnya, sedangkan 29 data termasuk kategori klasifikasi salah karena hasil prediksi tidak sesuai dengan labelnya. Tingkat akurasi adalah sebesar 71% dengan rincian precision dan recall untuk kelas artisan sebesar 63% dan 68%, untuk kelas guardian sebesar 77% dan 68%, untuk kelas rational sebesar 64% dan 72%, dan untuk kelas idealist sebesar 83% dan 76%.
Pengembangan Sistem Informasi Manajemen Evaluasi Prestasi Lulusan Terbaik dengan Metode Fuzzy Simple Additive Weighting
Authors: Kustiyono Kustiyono , Wibowo Agung , Pratama Ade
Published: August 2024

Lulusan atau disebut wisudawan dalam proses kelulusan merupakan suatu proses akhir ketika mahasiswa telah menempuh semua proses akademik di sebuah perguruan tinggi. Wisudawan terbaik merupakan suatu bentuk pencapaian tertinggi dalam prosesi wisuda dan merupakan keberhasilan program studi dalam menghasilkan lulusan yang berdaya saing. Penelitian yang dihasilkan dengan metode Simple Additive Weighting dapat membantu dalam pengambilan keputusan dalam penilaian prestasi wisudawan terbaik pada kegiatan wisuda yang diambil 1 lulusan dari 10 kandidat terbaik. Metode Simple Additive Weighting adalah suatu metode pengambilan keputusan dengan konsep mencari nilai tertinggi dari rating prestasi pada setiap alternatif dalam semua atribut. Tujuan penelitian ini adalah memilih wisudawan terbaik di perguruan tinggi serta mengontrol capaian prestasi mahasiswa agar dapat mencapai target yang diharapkan.
MISSED DIAGNOSIS OF HEART FAILURE AS INTESTINAL OBSTRUCTION: A CASE REPORT
Authors: Orhe Omonigho , Emuoghenerue Ekokidolor , Ebereghwa Eguono , Anyanwu Ebiringa
Published: August 2024

Reports of major surgical interventions based on incorrect diagnoses have raised significant concerns in the medical community. These errors expose patients to the inherent risks of surgery, including complications from general anaesthesia, challenges with blood transfusions, the potential for wound sepsis, and the risk of septicaemia if aseptic techniques are not meticulously followed. Instances of wrong-site amputations and confusion over surgical sites, such as herniorrhaphy locations, have been documented. This paper presents a case of a missed diagnosis leading to an unnecessary exploratory laparotomy in an adult male patient initially diagnosed with intestinal obstruction due to severe abdominal pain. Intraoperative findings revealed no abdominal pathology, and the correct diagnosis of tender hepatomegaly secondary to congestive cardiac failure was established. The patient recovered well after the proper treatment regimen was initiated. This case highlights the critical need for accurate diagnosis to avoid unnecessary surgical risks and prompts reflection on how many similar cases may have had less fortunate outcomes.
Internet-Driven Self-Medication Practices in Urban India: A Cross-Sectional Study Across Bengaluru, Amritsar, and Chennai
Authors: Prabhunr Akash , S Shriraam , Patil Vaibhav , S Karpaga
Published: August 2024

This cross-sectional study aimed to investigate the impact of the internet on self-medication practices among urban residents in Bengaluru, Amritsar, and Chennai. Conducted through a web-based questionnaire, excluding medical students, 350 valid responses were obtained. Results indicated that 34.5% of respondents practiced self-medication in the past three months, with 35.5% attributing their decisions to internet information. Major reasons for self-medication included minor ailments not requiring professional consultation (36%) and time-saving convenience (35.4%). Internet reliance was prominent among participants aged 21-40, with Bengaluru exhibiting the highest instances (62%). The study revealed a significant influence of the internet on decision-making in 26.7% of cases. Primary information sources were internet search engines (87%), focusing on drug prices (60%) and common adverse effects (19%). Notably, the study assessed the risk associated with internet-based self-medication, finding no statistically significant difference compared to traditional sources. In conclusion, the research highlights shifting self-medication patterns in urban India, emphasizing the growing role of the internet. Despite concerns, the study suggests that internet-based self-medication doesn't pose a substantially higher risk of adverse events compared to conventional sources. Further investigations into diverse populations and regions are recommended for a comprehensive understanding of this prevalent healthcare practice.
The impact of complementary and alternative medicine on functional status in rheumatic diseases
Authors: Nalbant Merve , Cetin Emine
Published: August 2024

This study aimed to evaluate the impact of Complementary and Alternative Medicine (CAM) use on functional status and pain relief in patients with Chronic Rheumatic Diseases (CRDs) using the Visual Analogue Pain Scale (VAS) and Health Assessment Questionnaire (HAQ). This cross-sectional multicentre study involved patients from rheumatology outpatient clinics who met the American College of Rheumatology (ACR) and European Alliance of Associations for Rheumatology (EULAR) criteria for rheumatic disease diagnosis. The exclusion criteria included acute flares or comorbid conditions that could interfere with the outcomes. Data collection included demographic and clinical data, pharmacotherapy, CAM usage, and its impact on the VAS and HAQ scales. The study included 126 patients. A significant proportion (57%) reported CAM use, with a preference for one (67%) or multiple (33%) modalities. CAM users exhibited significantly lower VAS scores, indicating reduced pain perception, and lower HAQ scores, suggesting better functional status than non-users. Correlation analyses highlighted strong positive associations between patient age, disease duration, and CAM use preference, as well as between educational level and specific CAM therapies. CAM use among patients with CRDs is associated with significant improvements in pain perception and functional capacity, as evidenced by lower VAS and HAQ scores. These findings suggest the potential of CAM to complement conventional rheumatology treatments, highlighting its value in patient-centered care and indicating its role in improving patient outcomes. However, the study's cross-sectional design and reliance on self-reported data necessitate further research for causal inferences and robust establishment of CAM efficacy.
Do Prosecutor Elections Impact Prosecutor Decision Making? An Analysis of Florida Prosecutors
Authors: Munir Hayley ,   Illinois State University
Published: August 2024

In the United States, the vast majority of chief prosecutors are elected, and existing literature demonstrates that electoral pressure impacts the decisions that candidates make (e.g., Brace & Hall, 1997; Cox & McCubbins, 1993; Mayhew, 1974). Prosecutorial discretion puts prosecutors in a unique position to shape outcomes in our criminal justice system. This paper explores how electoral pressure impacts prosecutorial decision-making. This analysis utilizes a novel dataset of chief prosecutor elections in Florida from 2008–2016 to test the impact of electoral pressure on three dependent variables: the proportion of cases not prosecuted, the proportion of cases convicted by jury trial, and the proportion of cases disposed by plea agreements. The models demonstrate no relationship between electoral pressure and case declination decisions. The results hold across several operationalizations of electoral pressure. However, individual prosecutor characteristics, such as sex and ideology, shape the decision to prosecute. Electoral pressure also has no effect on plea bargaining. However, during the time span of the data, jury trials decrease during election years.
Phát Triển Công Cụ Hỗ Trợ Lập Trình An Toàn Có Khả Năng Tuỳ Chỉnh Cho Phát Triển Ứng Dụng Trên Android
Authors: Bình Lê Công , Thi Nguyễn Lê Bảo , Lộc Trương Phước , Triết Trần Minh , Duy Trần Anh
Published: August 2024

Mặc dù Android là một hệ điều hành di động phổ biến, hệ sinh thái ứng dụng của Android vẫn còn tồn tại nhiều vấn đề bảo mật. Thiếu sự nhận thức và quan tâm đối với vấn đề bảo mật trong việc phát triển ứng dụng Android là một trong những nguyên nhân chính gây ra tình trạng này. Trong bối cảnh hiện nay, các nhà phát triển vẫn chưa có đủ kiến thức về bảo mật. Do đó, chúng tôi đã nghiên cứu và đề xuất một công cụ hỗ trợ lập trình an toàn. Dựa trên ý tưởng của DevSecOps, nhà phát triển được đặt ở trung tâm để tối ưu hóa giải pháp cho vấn đề này bằng cách tích hợp lập trình an toàn vào giai đoạn đầu trong quá trình phát triển phần mềm. Bài báo này trình bày hai đóng góp chính của nghiên cứu: biên soạn và phân loại vấn đề bảo mật trong phát triển ứng dụng Android và phát triển công cụ ArmorDroid, một plugin cho Android Studio hỗ trợ lập trình an toàn. Plugin này, có thể sử dụng cho các tệp Java, Kotlin và XML, có thể quét và phát hiện mã nguồn có lỗ hổng ngay lập tức và đề xuất các sửa nhanh cho lập trình viên trong giai đoạn phát triển. Plugin này giúp lập trình viên cải thiện mã nguồn an toàn của họ và huấn luyện họ viết mã nguồn an toàn bằng cách cung cấp các tiêu chuẩn lập trình an toàn trong ứng dụng Android. Hơn nữa, lập trình viên có thể tùy chỉnh tập luật để phù hợp với tình huống của họ và chia sẻ nó với các lập trình viên khác. Công trình của chúng tôi cũng trình bày kết quả của một nghiên cứu thử nghiệm về hiệu suất của plugin ArmorDroid.
ỨNG DỤNG VẬT LIỆU SILICA GEL MANG CHẤT LỎNG ION KHUNG BIS((TRIFLUOROMETHYL)SULFONYL)AMIDE LÀM PHA TĨNH TRONG CỘT CHIẾT PHA RẮN ĐỂ PHÂN TÍCH KIM LOẠI NẶNG Cr3+, Ni2+, Cu2+ Cd2+ và Pb2+ TRONG NƯỚC
Authors: Phương Trần Hoàng
Published: August 2024

Trong nghiên cứu này, vật liệu silica gel mang chất lỏng ion 3-alkyl-1-vinyl-1H-imidazol-3-ium bis((trifluoromethyl)sulfonyl)amide (XT1 và XT2) và 1,8-diazabicyclo[5.4.0]undec-7-enium bis((trifluoromethyl)sulfonyl)amide (XT3) được tổng hợp thành công và xác định cấu trúc bằng các phương pháp FT-IR, TGA, EDX và BET. Sau các thí nghiệm khảo sát, vật liệu SiO2-XT3 cho hiệu suất thu hồi tốt đối với 5 ion kim loại nặng là Cr3+, Ni2+, Cu2+ Cd2+ và Pb2+ với hiệu suất thu hồi trong khoảng từ 79 – 104% ở pH 8.5 với 1 mL dung môi rửa giải HNO3/H2O 1 M. Trong điều kiện đã tối ưu, phương pháp này có thể phân tích ion kim loại nặng với LOQ từ 1,95 - 4,27 µg/L đối với nước máy độ lặp lại tốt (RSD <6%), đạt theo tiêu chuẩn AOAC.
TỔNG QUAN VỀ GIÁO DỤC CẢM XÚC, KỸ NĂNG XÃ HỘI VÀ ĐẠO ĐỨC (SEE LEARNING) VÀ ỨNG DỤNG TRONG GIÁO DỤC MẦM NON
Authors: Quân Bùi Hồng , Anh Thư Nguyễn Thị
Published: August 2024

Bài viết này nhằm tổng quan về Giáo dục cảm xúc, kỹ năng xã hội và đạo đức (SEE Learning) bao gồm ba phạm trù chính: sự nhận thức, lòng trắc ẩn và sự tham gia được tiếp cận tương ứng với ba cấp độ là: cá nhân, xã hội và hệ thống. Mỗi phạm trù bao gồm các loại năng lực khác nhau có thể được truyền đạt riêng lẻ, song chúng có mối liên hệ mật thiết với nhau. SEE Learning có thể áp dụng cho các đối tượng người học từ mầm non đến trung học phổ thông và đem lại những kết quả tích cực về các mặt như sức khoẻ tâm thần, cảm nhận hạnh phúc, thành tích học tập. Trên cơ sở đó, bài viết đề xuất một số định hướng để có thể ứng dụng SEE Learning vào giáo dục mầm non tại Việt Nam.
Eficiencia terminal en la educación superior: Hacia un nuevo enfoque
Authors: Herrera Luis Carlos , Montenegro Markelda , Torres-Lista Virginia , Martínez Luis Aarón , López Virna
Published: August 2024

El estudio, es un análisis de la eficiencia terminal (ET) como indicador de calidad, que se utiliza para evaluar la trayectoria del estudiante y se determina en términos de porcentaje, tomando como referencia la proporción del número de graduados con relación al número de estudiantes que ingresaron. La pregunta de investigación gira en torno a si estamos frente a un indicador que permite evaluar la calidad de las instituciones de educación superior (IES) o de sus programas, o es un indicador de evaluación para el monitoreo y seguimiento del proceso. El objetivo es demostrar que existen muchas variables que intervienen en la ET, que no siempre son atribuibles al sistema educativo y no debe utilizarse para evaluar ni admisibilidad o un proceso final de un programa, es un punto de partida para la mejora de la eficiencia terminal que plantea la necesidad de un nuevo enfoque conforme los ODS.
Los Objetivos de Desarrollo Sostenible en la planificación estratégica de una universidad en Venezuela
Authors: Gutiérrez Mijares María Eugenia , Pellegrini Blanco Nila Coromoto , Lescher Soto Isaías , Villamizar González Alicia Vilma
Published: August 2024

El propósito del presente estudio consiste en identificar y relacionar los 17 objetivos del desarrollo sostenible en el proceso de planificación estratégica de la educación Superior. Se seleccionó como caso de estudio a la Universidad Simón Bolívar de Venezuela y su Plan Estratégico de Desarrollo. Como parte del proceso metodológico se diseñó una herramienta de evaluación que permitiera a partir de la recolección y categorización, reconstruir la información e interpretar la relación existente entre las variables y parámetros. La investigación responde al enfoque cuantitativo, utilizando la observación documental y el análisis de contenido para comprender el objeto de estudio. Se concluye poca presencia, visibilidad y disparidad de los ODS, además que la planificación institucional no responde a los compromisos con la Agenda 2030, ni son una respuesta para atender los lineamientos que representan los retos del milenio.
Avaliação do engajamento social nos planejamentos institucionais de universidades federais brasileiras: Desenvolvimento e aplicação de um instrumento analítico
Authors: Colus Flávia , Carneiro Ana Maria
Published: August 2024

Apesar da crescente importância atribuída ao engajamento das universidades com a sociedade, ainda há necessidade de entender como este tema esta presente nos  mecanismos de planejamento e avaliação das universidades. Este artigo apresenta um novo instrumento para avaliar como as universidades incluem o engajamento com a sociedade em seus planejamentos institucionais. O instrumento foi desenvolvido com base nos modelos: New Flagship University (Douglass, 2016), Universidade Civica (Goddard, Hazelkorn & Vallance, 2016), Universidade Responsável (Sørensen, Geschwind, Kekale & Pinheiro, 2019) e Universidade Empreendedora (Clark, 1998; Etzkowitz, 1983). Além de apresentar o desenvolvimento do instrumento de avaliação, este artigo apresenta um exercicio piloto de aplicação do instrumento, com a análise dos Planos de Desenvolvimento Institucional (PDI) de 13 universidades federais brasileiras. Com a aplicação foi possível realizar uma análise da presença dos diferentes temas nos documentos analisados, e também uma análise por instituição. A análise por tema mostrou que “Acesso e Permanência” e “Inovação e Empreendedorismo” estavam muito presentes no planejamento das universidades analisadas, enquanto que temas como “Divulgação Científica” e “Cursos de Extensão” apareceram com menos frequência e detalhamento. A análise por instituição, permitiu organisar as 13 universidades analisadas em quatro grupos de acordo com a presença das atividades de engajamento com a sociedade nos PDIs, desde muito alta presença até baixa presença. Espera-se que o artigo tenha contribuído para a discussão de como as universidades podem se planejar para atividades de engajamento com a sociedade, e que o instrumento possa contribuir para o aprendizado institucional das universidades.
Phospholipase C zeta: a hidden face of sperm for oocyte activation and early embryonic development
Authors: Azil Soukaina , Mbaye Modou Mamoune , Louanjli Noureddine , Ghazi Bouchra , Benkhalifa Moncef
Published: August 2024

Oocyte activation is a fundamental event in mammalian fertilization and is initiated by a cascade of calcium signaling and oscillation pathways. Phospholipase C zeta (PLCζ) is involved in modulating cortical granule exocytosis, releasing oocyte meiotic arrest, regulating gene expression, and early embryogenesis. These processes are considered to be initiated and controlled by PLCζ activity via the inositol-1,4,5-triphosphate pathway. The decrease or absence of functional PLCζ due to mutational defects in protein expression or maintenance can impair male fertility. In this literature review, we highlight the significance of PLCζ as a sperm factor involved in oocyte activation, its mechanism of action, the signaling pathway involved, and its close association with oocyte activation. Finally, we discuss the relationship between male infertility and PLCζ deficiency.
REPRESENTAÇÃO E EXPERIÊNCIA: QUESTÕES ACERCA DA EDUCAÇÃO SOB A ÓTICA DA TEORIA QUEER E DA FILOSOFIA DA DIFERENÇA
Authors: Pais Juan Barbosa , Almeida Álefe de Souza
Published: August 2024

Este ensaio aborda a influência significativa do ambiente escolar na formação dos indivíduos, especialmente no que diz respeito às questões de gênero e sexualidade, com foco nas experiências dos jovens LGBTs. Reconhecendo a escola como um espaço fundamental para a discussão e compreensão dessas temáticas, destaca-se também a persistência de preconceitos nesse ambiente. Através de uma abordagem baseada na diversidade sexual, teoria queer e na Filosofia da Diferença, busca-se descontruir a concepção tradicional de gênero como algo inato ao sexo, questionando os padrões heteronormativos impostos pela sociedade. A promoção do debate de gênero e sexualidade na escola, juntamente com o reconhecimento e a valorização das diversas identidades de gênero e sexualidade, são considerados essenciais para a construção de uma sociedade mais inclusiva. Isso requer não apenas reflexões teóricas, mas também mudanças práticas nas políticas educacionais e nas práticas pedagógicas, visando criar um ambiente escolar seguro e acolhedor para todos os estudantes, independentemente de sua orientação sexual ou identidade de gênero. Em última análise, a promoção da diversidade e o respeito às identidades individuais são fundamentais para construção de um futuro onde todos tenham o direito de viver e expressar a sua identidade livremente, contribuindo para uma sociedade mais justa e compassiva.
Political Perceptions and Dynamics in The Formation of Southern Garut Regency: An Analysis of DPRD Members’ Perspectives
Authors: Suhendar Usep , Djuyandi Yusa , Solihah Ratnia
Published: August 2024

This research analyzes the political perceptions of faction members in the Garut Regency Regional House of Representatives (DPRD) regarding the formation of Southern Garut Regency. Findings indicate broad support for the expansion, motivated by the need to enhance public services, accelerate development, and improve community welfare in the southern region. Despite this, some factions express skepticism, emphasizing the necessity for in-depth studies and administrative readiness. Utilizing political perception theory, the study explores how DPRD members form their views based on information and interpret their political and social contexts. The research also highlights theoretical limitations, such as insufficient consideration of broader power dynamics and structural influences, including central government policies and local economic interests. These findings underscore the need for further theoretical development to comprehensively capture the complexities of the regional expansion process.
Organizational Learning and Employee Performance: The Role of Competence as a Mediating Variable
Authors: Sintia  , Santati Parama , Farla Wita , Hadjri Muhammad Ichsan
Published: August 2024

Learning organizations play a pivotal role in enhancing employee performance, as organizations fostering a robust learning culture can offer the necessary support and development to enhance employee skills, knowledge, and effectiveness. Enhancing employee competency holds utmost importance in boosting performance, as employees equipped with skills, knowledge, and attitudes aligned with job requirements can operate more proficiently and productively. This study aims to examine the impact of learning organizations on performance, with competency serving as an intermediary variable. Conducted at PT Bumitama Gunajaya Agro, this research employs Structural Equation Modeling via LISREL 8.8 software for data analysis. The sample comprises 150 employees from PT Bumitama Gunajaya Agro. Model suitability is assessed using the Chi-Square test, RMSEA, CFI, and GFI. Findings indicate that learning organizations significantly enhance employee performance. Additionally, competency serves as a positive mediator in the relationship between learning organization and performance. These results underscore the significance of implementing learning organization principles, which involve employees in learning initiatives, to enhance competency and subsequently boost employee performance.
PENGARUH PERAN MEDIA SOSIAL DALAM MOBILISASI POLITIK RIDWAN KAMIL: PENDEKATAN KUALITATIF
Authors: Efendi Nur , Sultan M Iqbal , Elsaid Dea Audia
Published: August 2024

Media sosial saat ini telah membuktikan diri sebagai alat yang sangat efektif dalam membentuk personal branding seseorang. Salah satu contohnya adalah Ridwan Kamil, yang berhasil memanfaatkan platform Instagram dengan memiliki 21,9 juta pengikut untuk memperkuat citra dan pengaruhnya. Penelitian ini menggunakan metode pendekatan kualitatif untuk mengeksplorasi peran media sosial sebagai alat komunikasi yang potensial dalam konteks mobilisasi politik. Hasil penelitian menunjukkan bahwa media sosial tidak hanya mampu menyebarkan pesan secara luas, tetapi juga memiliki kapasitas untuk membentuk opini publik dan memengaruhi perilaku politik. Dalam proses membangun citra positif, penting untuk menjaga konsistensi dalam nilai-nilai yang dianut, menunjukkan kreativitas dalam menyampaikan pesan, mengamalkan perilaku yang konsisten dengan nilai yang dipegang, serta memperhatikan penampilan yang mendukung pesan yang ingin disampaikan. Keselarasan semua aspek ini menjadi kunci keberhasilan dalam menggunakan media sosial sebagai alat strategis dalam politik dan branding personal.
Effect of treatment with phytosterols in three herds with porcine respiratory disease complex
Authors: Fraile Lorenzo , Crisci Elisa , Weenberg Joan , Armadans Montse , Mendoza Lorenzo , Ruiz Lara , Bernaus Santi , Montoyac Maria
Published: August 2024

This case study includes three pig production systems belonging to two companies in Spain. Mortality, percent culls, average daily gain (ADG), and feed efficiency in Production Systems One and Two were incorporated into a database program and analyzed using statistical process control (SPC) techniques to assess changes in performance before and after phytosterols, natural substances that act as immunomodulators, were added to the feed. Inmunicin Maymo (Maymo Laboratories SA, Barcelona, Spain), a commercial phytosterol product, was administered in feed during the nursery and finishing periods, from 4 weeks before until 4 weeks after the predicted date of an outbreak of porcine respiratory disease complex (PRDC). In Production System Three, data obtained for batches treated or not treated with Inmunicin Maymo were compared using a one-way ANOVA, with the level of significance set at .05. In all three production systems, finisher mortality and percent culls were lower and production parameters were best when the immunomodulator was applied. Differences were statistically significant for all parameters evaluated, except feed conversion ratio, when assessed using SPC criteria in Systems One and Two and one-way ANOVA in System Three. Phytosterols may be useful to control endemic PRDC under field conditions.
Use of a one-dose subunit vaccine to prevent losses associated with porcine circovirus type 2
Authors: Desrosiers Robert , Clark Edward , Tremblay Dorine , Tremblay Robert , Polson Dale
Published: August 2024

In a commercial swine herd in eastern Canada, porcine circovirus associated disease (PCVAD) had been occurring for about 18 months when a test vaccine was introduced. Pigs were affected approximately 3 weeks after entering the finishing units. A total of 3852 pigs were enrolled in the study. Half of the pigs were randomly selected to be vaccinated at 19 to 59 days of age with a one-dose porcine circovirus type 2 (PCV2) vaccine (Ingelvac CircoFlex; Boehringer Ingelheim Vetmedica Inc, St Joseph, Missouri). The other half of the pigs were injected on the same day with sterile water (controls). No local or systemic adverse reactions were observed. The study pigs were placed in four different finishing units and in each one, mortality was significantly lower in vaccinated pigs (P < .01). Enlarged lymph nodes and white spots on the kidneys were among the most frequent lesions suggesting PCVAD. Splenic infarcts were observed in a few pigs. Results of two different serological tests showed that pigs could be effectively vaccinated in the presence of maternal immunity. There was no correlation between seroconversion (in response to vaccination) and protection.
Autogenous sow vaccination for Glasser’s disease in weaner pigs in two large swine farm systems
Authors: McOrist Steven , Bowles Ross , Blackall Pat
Published: August 2024

We aimed to effectively vaccinate sows in two large farm systems suffering severe Glasser’s disease in their weaner pigs. System A or B supplied 4000 or 7000 weaned pigs weekly to their respective single-site nursery facilities. Suspect serosal lesions were cultured for Haemophilus parasuis, with serotyping and genotyping for tbpA and tbpB transferrin-binding genes. Most cultured H parasuis were either serotype 5 or 12 or nontypable. Specific tbpA and tbpB PCR products were further analyzed for restriction fragment length polymorphisms. This indicated that the dominant strains were genotypes bb and hg (Farm A), and aa, bb, and kf (Farm B). Selected dominant-strain cultures were expanded and formalin-killed for use as autogenous bacterins in sows 5 and 2 weeks prior to farrowing. Mortality and average daily weight gain in sheds housing progeny derived from vaccinated sows (mortality of 0.5% to 0.9% of total population) were lower than those in sheds housing nonvaccinated progeny (mortality of 1.4% to 2.1%). Mortality due to Glasser’s disease remained low 1 year after introduction of the vaccine. We concluded that tbp gene analysis is a useful additional tool for identification of dominant and potentially protective strains of Haemophilus parasuis.