bluuebunny/crossref_metadata_2025 huggingface dataset:
Mathematical model of maintenance and repair processes for freight cars
Authors:   Ural State University of Railway Transport, Sirina N. F. , Kolodin A. E. ,   JSC Russian Railways, Gonchar P. S. ,   Ural State University of Railway Transport
Published: August 2024

The strategic brand of any company is based on customer orientation. With regard to the carriage component of the transportation process, the consumer expects to meet the needs for technically sound rolling stock on constant basis. Timely high-quality maintenance and repair of freight cars guarantee the quality of transport services. The elimination of losses in the technological process of rolling stock maintenance significantly increases the competitiveness of railway transport and has a positive effect on state economic stability. The controllability optimization of the technological complex of freight cars maintenance and repair inevitably increases the efficiency of the transportation process due to a systematic approach to the organization of work related to the maintenance of the life cycle of rolling stock. Mathematical support tools, including the complex of mathematical methods, models and algorithms applied to solve the problems of rational technological processes organization, and can significantly narrow the search for optimal output and eliminate unnecessary losses when updating technology.
uST uBus U4-220-T2 suspended automatic vehicle for passenger transportation: design features, operational characteristics
Authors:   Unitsky String Technologies, Inc., Unitsky Anatoli E. , Tsyrlin Michael I. ,   Unitsky String Technologies, Inc., Vikhrenka Dzmitry V. ,   Unitsky String Technologies, Inc.
Published: August 2024

The paper indicates the ways to increase the traffic capacity of the transport system, the prospects for tackling the issue via use of string transport, namely the U4-220-T2 uBus of large capacity, for passenger transportation; the structure, technical characteristics and design modifications of the uBus with the aim to reduce the noise level are described; the method and results of determining internal and external noise of the passenger compartment noise are presented; a comparative analysis of the noise of the uBus, tram and subway was carried out. The measurement results showed that the level of internal and external noise of the uBus after design modification is significantly less than that of the tram and subway.
Passenger car: brake testing and acceptance
Authors:   Ural State University of Railway Transport, Antropov Aleksandr N. , Antropova Tatyana A. ,   Ural State University of Railway Transport
Published: August 2024

The article reveals the issues of brake control of passenger rolling stock as a way to improve the quality of brakes repair and reduce failures of wagons in operation. The existing technology of testing and acceptance of passenger car brakes is analyzed, conclusions are drawn about its effectiveness and applicability, taking into account the design features of passenger-carrying braking equipment.
Comparative analysis of the potential of freight forwarders and logistics operators in the market of transport and logistics services of the Republic of Belarus
Authors:   Belarusian National Technical University, Kapski Рavel D. , Ivut Roman B. ,   Belarusian National Technical University
Published: August 2024

The article analyzes the features of the professional activities of forwarders and 3PL operators. Using the example of the Republic of Belarus, the structural features of the transport and logistics services market, product and price offers of forwarding companies and 3PL operators were studied. Factors that influence pricing in the market of transport and logistics services have been studied. It is shown that the price factor is not the main one for customers who require door-to-door delivery. For greater sustainability of the logistics business, freight forwarders and logistics operators should develop multimodal transportation services.
Modeling of a tractor traction system with a powershift gearbox
Authors:   Ural State University of Railway Transport, Tarasyan Vladimir S. , Fomintsev Alexander A. ,   Ural State University of Railway Transport
Published: August 2024

Currently, one of the main approaches for the development of technical systems is model-based design. This paper is concidered the computer modeling of a tractor gearbox. A simplified mathematical model of the gearbox and its implementation using the K-700 Kirovets tractor as an example are presented. This model uses for design an unmanned agricultural vehicle.
OS SURDOS NO FIM DO SÉCULO XIX E INÍCIO DO SÉCULO XX: UMA ANÁLISE DOS CENSOS DEMOGRÁFICOS HISTÓRICOS BRASILEIROS
Authors: Maria da Rocha Solange , Cunha da Cruz Ana Maria
Published: August 2024

Podemos identificar, numa breve pesquisa em bancos de teses e dissertações, um significativo número de trabalhos so-bre surdos com base em dados de Censos Demográficos recentes. Entretanto não circulam informações sobre os surdos nos primeiros Censos realizados no Brasil. No final do século XIX e início do século XX, existiam informações a respeito dos surdos? Eles eram reconhecidos como surdos ou surdos-mudos? Os estados brasileiros tinham um quantitativo de surdos proporcionais entre si? Qual região brasileira apresentava maior número de surdos na época? Este trabalho procura compreender tal realidade através dos Censos Demográficos realizados no período de 1872 a 1940, no Brasil, investigando as terminologias e procedimentos que foram realizados. Destaca-se o pioneirismo desses Censos em relação à necessidade de registrar informações sobre surdos no Brasil. Também serão problematizados alguns desvios de percurso nas realizações censitárias decorrentes muitas das vezes de questões metodológicas.
Imlementasi Green Banking pada Perbankan Syariah Indonesia Melalui CSR
Authors: Arislan Much. Syafiq Arislan , Mashuri Toha
Published: August 2024

Penelitian ini bertujuan untuk menginvestigasi implementasi green banking di Bank Muamalat Indonesia, dengan fokus pada program-program dan strategi yang diterapkan serta dampaknya terhadap lingkungan dan masyarakat. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan studi kasus, yang mengadakan ceck dan receck dari satu sumber dibandingkan dengan sumber lain sampai peneliti merasa puas dan yakin bahwa informasi yang dikumpulkan itu benar. Temuan penelitian menunjukkan bahwa Bank Muamalat telah menerapkan sejumlah program green banking, termasuk efisiensi energi, pengurangan limbah, dan penggunaan kertas yang minimal. Strategi yang dilakukan termasuk peningkatan kesadaran staf dalam penggunaan sumber daya dan penggunaan teknologi untuk mengurangi konsumsi kertas. Program CSR yang mendukung green banking meliputi literasi keuangan online, pemanfaatan tenaga lokal, dan investasi pada infrastruktur sosial. Implikasi penelitian ini adalah bahwa green banking tidak hanya menguntungkan secara ekonomi bagi bank, tetapi juga memberikan manfaat bagi lingkungan dan masyarakat secara luas. Hasil penelitian ini dapat menjadi acuan bagi bank lain dalam mengembangkan praktik keuangan yang berkelanjutan.
Pengaruh Lokasi dan Kepercayaan Terhadap Minat Menabung Masyarakat Desa Pulau Tengah Di Bank Syariah Indonesia (BSI) KCP Sungai Penuh
Authors: Elsyarif Dafiar
Published: August 2024

Abstrak
Tujuan dari penelitian ini yaitu untuk mengetahui apakah lokasi dan kepercayaan memiliki pengaruh terhadap minat menabung masyarakat desa pulau tengah di bank syariah indonesia (BSI) KCP Sungai Penuh. Penelitian ini menggunakan metode kuantitatif, populasi dalam penelitian ini adalah masyarakat desa pulau Tengah sebanyak 1.280 jiwa dengan Teknik penentuan sampel menggunakan nilai e sebesar 10% atau 0,1, maka jumlah sampel dalam penelitian ini sebanyak 93 responden. Teknik pengumpulan data dengan menggunakan angket yang didistribusikan melalui google form. Dalam membuktikan dan menganalisis hal tersebut, maka digunakan uji validitas dan reliabilitas, uji asumsi klasik, uji regresi linear berganda serta uji f (simultan) dan uji t (parsial). Hasil penelitian menunjukkan bahwa: 1) secara parsial berpengaruh terhadap minat menabung masyarakat desa pulau tengah di BSI KCP Sungai penuh. Hasil pengujian secara parsial menunjukkan bahwa Lokasi (X1) memiliki koefisien regresi sebesar 4,822 > 1,986, maka H0 ditolak dan Ha diterima dan Kepercayaan (X2) memiliki koefisien regresi sebesar 6,399 > 1,986, maka H0 ditolak dan Ha. Dengan demikian hasi uji t (parsial) menunjukkan adanya pengaruh positif dan signifikan dari variabel Lokasi (X1) dan Kepercayaan (X2) terhadap Minat menabung (Y) Masyarakat Desa Pulau Tengah Di Bank Syariah Indonesia (BSI) KCP Sungai Penuh. 2) secara simultan berpengaruh terhadap minat menabung masyarakat desa pulau tengah di BSI KCP Sungai penuh. Hasil pengujian tersebut diperoleh dari Fhitung > Ftabel (52,399 > 3,10). Dengan demikian hasil pengujian hipotesis pada uji f (simultan) menunjukkan adanya pengaruh pada variabel lokasi dan keperccayaan secara bersama-sama terhadap minat menabung.
Fish Transfer Workers Posture Analysis at the Sadeng Beach Fish Auction Place
Authors: Choirul Bariyah  , Tri Budiyanto  , Afan Kurniawan  , Agung Kristanto  , Farid Ma’ruf  , Okka Adiyanto  , Isana Arum Primasari  , Effendi Muhamad
Published: August 2024

At the Fish Auction Place (TPI) of Sadeng Beach, Gunung Kidul, fish are manually transferred using wooden bearers and pieces of plastic drums used as fish containers. The weight of the fish moved ranged from 90 - 110 kg for each transfer. The transfer of fish carried out on the shoulders of two workers who have different heights and ages. The worker's posture is characterized by flexion, inclination, and torsion. The Nordic Body Map (NBM) survey revealed reports of stiffness and pain in the shoulders, lower back, and knees. The objective of this study is to evaluate the potential risk of injury in the process of transferring fish. The evaluation uses the Rapid Entire Body Assessment (REBA) technique. The findings indicated that both workers activities fell into the high-risk category, with the REBA score of 14.00, with a very high risk category.
Analysis of Mental and Physical Workload of Sehati Crackers Factory Employees
Authors: Ina Siti Hasanah  , Alfian Ardi Nugroho
Published: August 2024

The Sehati Cracker Factory produces and sells cooked and raw crackers. The production capacity of raw crackers is 1000 kg per day for 8-9 working hours and 17 employees. The problem that occurs is that workers feel excessive physical workload so that worker performance decreases and workers cause errors, namely products become defective. The aim of this research is to measure workers' mental and physical workload, and make improvements so that workers' workload is reduced. To measure workers' mental workload using the NASA-TLX method and to measure workers' physical workload using the CVL method. Based on measurements using NASA-TLX, it shows that the average mental workload is in the high category of eleven workers and the very high category of six workers. The results of the CVL method calculation show that the greatest physical workload is felt by respondent A with a CVL value of 31.36% and respondent L with a CVL value of 38.93%. Recommendations suggest reducing physical and mental workload by adding exhaust fans, checking machines and equipment before production, using conveyance, organizing training, and providing rest areas.
More Than Just Surviving: Rebellion Against Patriarchy in the English Translation of Han Kang’s The Vegetarian
Authors: Tabor Dominika
Published: August 2024

The article analyzes the English translation of the Korean novel The Vegetarian (2015) by Han Kang in light of the impact of a patriarchal society on a woman's life. In the article, I analyze the English version as a standalone novel rather than a translation from Korean due to various instances of mistranslations and omissions.  The narrative tells the story of Yeong-hye, a Korean woman who one day becomes an eponymous vegetarian and stops eating meat. The more committed Yeong-hye is to her dietary choice, the more aggressive her family becomes, perceiving her decision as absurd and foolish. The novel's central theme, unlike the novel's title may suggest, is not vegetarianism but rebellion and the silent suffering of a woman trapped in a patriarchal world that does not understand her. The study incorporates Gilbert and Gubar's concept of the “angel in the house” and Timothy Morton's distinction between Life and "life." Lastly, the research discusses the role of Yeong-hye and the author of the novel, Han Kang, concerning Gilbert and Gubar's notion of “anxiety of authorship”. I argue that Yeong-hye's transformation, resulting in her institutionalization in a mental hospital.
Habitat diversity enriches waterbird community at Bolivar Wastewater Treatment Plant in South Australia
Authors:   School of Biological Sciences, University of Adelaide, Adelaide SA 5005, Australia, Breed William , Hatch John ,   Birds SA, Adelaide SA 5000, Australia, Rogers Colin ,   2Birds SA, Adelaide SA 5000, Australia, Roberts Harry ,   SA Water, 250 Victoria Square, Adelaide SA 5000, Australia, Ahmer Ingrid ,   School of Biological Sciences, University of Adelaide, Adelaide SA 5005, Australia
Published: August 2024

The wastewater treatment plant at Bolivar in South Australia contains three groups of ponds which provide different managed habitats. Ponds 1, 2 and 3 contain a constant level of water of >1 metre in depth throughout the year, whereas in Ponds 4, 5 and 6 the water level is reduced each year with the result that the ponds become largely dry for several weeks from late summer. The third group of eight ponds, the sludge lagoons, are anaerobic and each year two or three of these ponds gradually dry out. In this study, we compared the abundance of the various species of waterbirds on these three groups of ponds throughout the period from September 2021 until December 2023. We found major differences in abundance of birds between the three groups. Most of the waders, together with Black Swan Cygnus atratus, Hardhead Aythya australis and Eurasian Coot Fulica atra, were largely present on Ponds 4–6, whereas Blue-billed Duck Oxyura australis, dabbling ducks, and three species of cormorants (Phalacrocoracidae) tended to be more abundant on Ponds 1–3, with the sludge lagoons generally having mainly Grey Teal Anas gracilis.
Gigantism in Theropods: A Study of Giganotosaurus carolinii and Its Ecological Impact
Authors: Hu Tyler
Published: August 2024

Gigantism in theropods represents one of the most intriguing phenomena in dinosaur evolution, showcasing extreme adaptations in body size and ecological roles. This literature review focuses on Giganotosaurus carolinii, one of the largest known theropods to have ever existed, to explore its unique aspects of gigantism and the subsequent ecological impacts. By analyzing features such as its skeletal morphology, comparative anatomy, and paleoenvironmental data, we assess the evolutionary pressures and biological constraints that shaped the gigantism observed in Giganotosaurus. We discover that the species exhibited a combination of physiological and ecological adaptations that allowed it to thrive as an apex predator in its Cretaceous environment. We will also further examine the implications of its size on prey dynamics, competition with other large theropods, and the overall ecosystem structure. Through a thorough, multidisciplinary approach, this research enhances our understanding of how gigantism influenced theropod behavior, interspecies interactions, and the broader paleoecological landscape.
Exploring the Impact of Digital Transformation on Marketing Strategies in the Retail Sector
Authors: Wilson George , Johnson Oliver , Brown William
Published: August 2024

This research explores the profound impact of digital transformation on marketing strategies within the retail sector. As the retail landscape evolves, digital technologies have become central to understanding and engaging with consumers. The study examines how data-driven decision-making, enabled by advanced analytics, has replaced traditional intuition-based methods, leading to more targeted and efficient marketing strategies. Personalization has emerged as a key trend, with retailers leveraging customer data to offer tailored experiences, fostering greater customer satisfaction and loyalty. The adoption of omnichannel marketing strategies is highlighted as crucial for providing a seamless and consistent customer experience across various touchpoints, integrating both online and offline channels. The role of social media as a powerful platform for brand engagement and community building is discussed, emphasizing its importance in modern marketing. Mobile technologies are identified as transformative, offering convenience and enhancing the shopping experience through mobile apps and payment solutions. The research also explores the emergence of new business models, such as subscription services and direct-to-consumer approaches, which have been enabled by digital technologies. Challenges associated with digital transformation, including the need for continuous technological investment, skill development, and data privacy concerns, are also addressed. The study concludes by highlighting the acceleration of digital adoption due to the COVID-19 pandemic and the potential of emerging technologies like artificial intelligence, virtual reality, and blockchain to shape the future of retail marketing. The findings underscore the necessity for retailers to embrace digital transformation to remain competitive and responsive to changing consumer behaviors.
Examining the Role of Mobile Applications in Transforming Retail Marketing Strategies
Authors: Brown William , Johnson Oliver , Wilson George
Published: August 2024

This study investigates the transformative role of mobile applications in retail marketing strategies, focusing on how these digital tools have reshaped consumer engagement, personalization, and operational efficiency. Mobile applications have emerged as pivotal assets for retailers, facilitating direct communication with customers through real-time updates, personalized promotions, and tailored content. The integration of digital loyalty programs within mobile apps has streamlined rewards systems, making it easier for customers to engage with and benefit from loyalty initiatives. By leveraging data analytics, retailers can gain deep insights into consumer behavior, optimize inventory management, and refine marketing strategies. The incorporation of augmented reality (AR) and virtual reality (VR) technologies into mobile apps has introduced innovative ways for customers to interact with products and explore virtual showrooms, enhancing the overall shopping experience. Mobile commerce (m-commerce) has also seen significant growth, driven by the convenience and accessibility provided by mobile apps, which support seamless shopping experiences and mobile payments. Despite these advantages, challenges such as data privacy concerns and the need for continuous innovation remain. Retailers must address these issues to maintain consumer trust and stay competitive. Looking ahead, emerging technologies such as artificial intelligence (AI) and machine learning (ML) are expected to further enhance mobile app functionalities and personalization. The focus on sustainability is also influencing mobile app features, aligning with consumer values and expectations. Overall, mobile applications are set to play an increasingly critical role in shaping the future of retail marketing, offering new opportunities for engagement, innovation, and growth.
A Multidimensional Examination of the Role of Vocational Education Teachers from the Perspective of New Quality Productive Forces
Authors: Wang Menglin
Published: August 2024

Under the wave of technological advancement and industrial upgrading, new productivity is deeply influencing the field of vocational education and promoting fundamental changes in teachers' roles. Modern teachers must not only keep pace with technological development but also master innovative teaching modes and guide students to form correct values. They are gradually evolving from mere knowledge transmitters to guides for learning, stimulators of interest, explorers of in-depth research, and promoters of comprehensive growth. Through interdisciplinary knowledge structures and innovative abilities, combined with advanced tools such as information technology and artificial intelligence, teachers innovate teaching methods to meet students' diverse learning needs and focus on cultivating students' professional skills, comprehensive qualities, and innovative spirits. This multi-dimensional reshaping of roles is not only an inevitable choice for the development of vocational education but also provides important insights for educational reform.
The Role of Omega-3 Polyunsaturated Fatty Acids in Muscle Growth and Recovery: Implications for Aging and Performance
Authors: Varamini Behzad , Yang Jonah O. , Merry Benjamin J. , Dau Daniel J.
Published: August 2024

Omega-3 polyunsaturated fatty acids (PUFAs) play a critical yet underappreciated role in muscle health, particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Through a review of current literature, we analyze the effects of these nutrients on muscle protein synthesis, mass, strength, and recovery. Studies demonstrate that omega-3 PUFAs enhance muscle protein synthesis via the mTOR pathway and possess anti-inflammatory properties that may reduce muscle damage and atrophy, particularly in older adults. Their potential to improve muscle function and mitigate exercise-induced damage is also reviewed, highlighting relevance for athletes and active individuals. Further research on optimal dosages and long-term effects of omega-3 supplementation is needed, providing a basis for future studies and practical recommendations for leveraging these nutrients to support muscle health.
ARIMA Models and Parallel Computing Applied to Anemia Diagnosis in Children Under 36 Months in Juninn Region, Peru
Authors: Valero Sucari Luis
Published: August 2024

This research explores the application of ARIMA (Autoregressive Integrated Moving Average) models and parallel computing techniques to analyze and forecast anemia diagnoses in children under 36 months in the Junín region of Peru. Using health data from 2023-2024, including insurance type, patient information, diagnosis dates, hemoglobin levels, and treatment details, we develop predictive models to understand trends and patterns in childhood anemia. The study aims to demonstrate the effectiveness of time series analysis and high-performance computing in addressing this critical public health issue. Results indicate improved forecasting accuracy and computational efficiency, potentially aiding in resource allocation and policy development for anemia prevention and treatment programs.
Integration of Additive Manufacturing in Aerospace Engineering
Authors: Egon Axel , Bell Chris , Shad Ralph
Published: August 2024

The integration of additive manufacturing (AM), commonly known as 3D printing, has revolutionized aerospace engineering by enabling the creation of complex, lightweight, and high-performance components. This paper explores the transformative impact of AM technologies on the design, production, and maintenance of aerospace systems. The aerospace industry demands high precision, reduced weight, and enhanced performance, all of which are facilitated by AM's ability to produce intricate geometries and optimize material usage. Key applications of AM in aerospace include the fabrication of engine components, structural parts, and customized tooling. The technology's capability to produce parts with complex internal structures, such as lattice designs, leads to significant weight reductions without compromising strength and durability. Furthermore, AM allows for rapid prototyping, enabling faster iteration and development cycles, which is crucial in the highly competitive aerospace sector.
Euclidean Locality in Treonic Topological Spaces: The Genesis of Treonic Manifolds
Authors: Bermejo Valdés Alejandro Jesús
Published: August 2024

We explore the concept of Euclidean locality within treonic topological spaces. Our study establishes a foundational theoretical framework, elucidating the properties of continuity, homeomorphisms, and compactness in these spaces. We assess the Euclidean locality of treonic spaces through the analysis of specific homeomorphisms, which enables us to define manifolds in treonic spaces and extend recent research on Bermejo Algebras. For the first time, we characterize treonic manifolds by incorporating the property of Euclidean locality alongside previously studied properties such as Hausdorff spaces and second countable spaces. Our findings advance the understanding of the topological and geometric properties of treonic spaces, providing significant insights for advanced mathematical research.
Human Capital Assessment in Indigenous Regions to Enable Sustainable Futures
Authors: Sharakhmatova Victoria N. , Mikhailova Elena G.
Published: August 2024

This study is dedicated to the economic valuation of human capital in the regions where the Indigenous peoples of Kamchatka reside. The entire Kamchatksky Krai is considered an Indigenous people's ancestral territory. However, in this study, only municipalities whose population is more than one-third Indigenous were chosen for the assessment. This includes six municipal districts and one urban district (Aleytsky, Bystrinsky, Karaginsky, Olyutorsky, Penzhinsky, Tigilsky municipal districts and Palana urban district). The study employs statistical analysis and integrated, situational approaches: the investment approach was deemed the most appropriate tool for the economic assessment of human capital in Indigenous territories. The document analysis was based on a content analysis of open-access government documents and included legal acts, resolutions, orders, and other documents issued by federal, regional, and local authorities and pertaining to the economic activities of Kamchatka Indigenous peoples. Based on proposed calculation algorithm the assessed combined monetized value of human capital for the Kamchatka territories with large Indigenous populations at 38.8 billion rubles (approximately 520 million U.S. dollars) in 2021. It was observed that the growth of human capital in the Indigenous areas of Kamchatka between the years 2017 and 2021. The mean regional value of human capital per capita increased by more than twofold over this period. The accurate and precise assessment of human capital in the Kamchatka Indigenous homelands is provides baseline information necessary for the decision-making about economic development and sustainable development policies, and the approach proposed in this paper can be utilized by the Indigenous communities worldwide.
Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots
Authors: WAN Li , LI Zhenjiang , ZHANG Changan , CHEN Guangyong , ZHAO Panming , WU Kewei
Published: August 2024

Mobile inspections conducted by intelligent tunnel robots are instrumental in broadening the inspection reach, economizing on inspection expenditures, and augmenting the operational efficiency of inspections. Despite differences from fixed surveillance, mobile-captured traffic videos have complex backgrounds and device conditions that interfere with accurate traffic event identification, warranting more research. This paper proposes an improved algorithm based on YOLOv9 and DeepSORT for intelligent event detection in edge computing mobile device using the intelligent tunnel robot. The enhancements comprise the integration of the Temporal Shift Module to boost temporal feature recognition and the establishment of logical rules for identifying diverse traffic incidents in mobile video imagery. Experimental results show that our fused algorithm achieves a 93.25% accuracy rate, an inprovement of 1.75% over the baseline. The algorithm is also applicable to inspection vehicles, drones, and autonomous vehicles, effectively enhancing the detection of traffic events and improving traffic safety.
Incumbent’s Disruptive Innovation Model Incorporating Customers’ Demands in the Smartphone Market: Case Study of Apple iPhone
Authors: Park Changhyun
Published: August 2024

The current disruptive innovation model has a limitation in incorporating customers’ demands while the customer can be a co-creator of value on performance, design, and price innovation. Thus, this research attempted to explore the disruptive innovation model which can include both the incumbent’s innovation trajectory and customer’s demand, and how incumbents behave to enable disruptive innovation in the smartphone market. Based on the Apple iPhone case study, this study verified that the current disruptive innovation model can incorporate customers’ demand by reflecting their demand in the direction of innovating the performance, design, or price of smartphones with the price-adjusted innovation trajectory. The secondary innovation trajectory which was found uniquely in this study is meaningful since it can be a creative solution for the innovator’s dilemma. Besides, Apple, as an incumbent, has behaved to innovate iPhone performance and design demands of customers creating significant papers and patents as outcomes of innovation activities. This study has practical implications for incumbents’ managers as well as customers to enable disruptive innovation in the smartphone market.
Impact of Poly-L-Lysine Dendrimers on the Stability and Effectiveness of Vitamin C in Dermocosmetic Use
Authors: BERTRAND BERTRAND , HAFID BELHADJ-TAHAR
Published: August 2024

Introduction:
This study explores the stabilization and efficacy enhancement of Vitamin C in dermocosmetic formulations through its association with Poly-L-lysine dendrimers. Vitamin C, critical for collagen synthesis and skin hydration, faces challenges due to its instability and low bioavailability. The research aims to evaluate the liposolubility of Vitamin C in the presence of Poly-L-lysine vectors, assess its stability in both aqueous and emulsion media, and determine the moisturizing efficacy of second-generation Poly-L-lysine (diameter: 4.5 nm, PM: 8.6 kDa) and third-generation Poly-L-lysine (diameter: 7 nm, PM: 22 kDa). Methods : Methods included high-performance liquid chromatography (HPLC) for concentration analysis, partition coefficient determination, and stability assessments under various conditions. Hydration potential and kinetics were evaluated on 11 volunteers using a corneometer.
Results: The liposolubility of Vitamin C increased by over 300% with Poly-L-lysine, enhancing its stability. Emulsion stability tests confirmed that formulations with Poly-L-lysine maintained their physical and chemical properties under stress conditions. Physiological tests showed significant improvements in skin hydration with the Poly-L-lysine/Vitamin C formulations, achieving 66.2% hydration increase at T3h for third-generation dendrimers.
Conclusion
In conclusion, Poly-L-lysine vectors significantly enhance the stability and moisturizing efficacy of Vitamin C in dermocosmetic formulations. These findings suggest that Poly-L-lysine can mitigate Vitamin C's instability and improve its dermocosmetic benefits, offering a promising approach for advanced skincare solutions.
Line Loss Comprehensive Evaluation Management System Based on Knowledge Graph
Authors: Li Bin , Wang Weihuan
Published: August 2024

This study constructs a comprehensive line loss management evaluation knowledge graph, considering the impact of various factors such as power grid structure characteristics, equipment's physical parameters, power grid operation characteristics, electricity consumption features, and natural conditions. It establishes the association between line loss characteristics and line loss retrieval and configures the data source for line loss management evaluation indicators. Based on Principal Component Analysis (PCA), this study selects comprehensive evaluation indicators for line loss management, verifies the rationality of the indicators, and proposes an integrated evaluation method for municipal power grid line loss management. A full-process composite evaluation method based on DEMATEL-Entropy Weight-TOPSIS is constructed, and the accuracy of the evaluation method is verified through ablation experiments. The TOPSIS analysis method is applied to empirical research on cross-sectional data from a city in Guangxi from 2012 to 2022 to validate the evaluation system's effectiveness, scientific nature, and objectivity. The case analysis shows that the line loss evaluation index system established in this paper effectively reduces the redundancy of line loss data and can objectively and rationally reflect the actual status of line loss management work, serving as a basis for decision-making in future line loss management evaluations.
Exploring Multimodal Sentiment Analysis Models: A Comprehensive Survey
Authors: Q. Dao Phuong , Roantree Mark , B. Nguyen-Tat Thien , M. Ngo Vuong
Published: August 2024

The exponential growth of multimodal content across social media platforms, comprising text, images, audio, and video, has catalyzed substantial interest in artificial intelligence, particularly in multi-modal sentiment analysis (MSA). This study presents a comprehensive survey of 30 research papers published between 2020 and 2024 by eminent publishers such as Elsevier, ACM, IEEE, Springer, and others indexed in Google Scholar. Our analysis primarily focuses on exploring multimodal fusion techniques and features, with specific emphasis on the integration of text and image data. Additionally, the article offers an overview of the evolution, definition, and historical context of MSA. It delves into the current challenges and potential advantages of MSA, investigating recent datasets and sophisticated models. Furthermore, the study provides insights into prospective research directions. Notably, this review offers valuable recommendations for advancing research and developing more robust MSA models, thus serving as a valuable resource for both academic and industry researchers engaged in this burgeoning field.
A Method for Recognition and Coordinate Reference of Autono-Mous Underwater Vehicle to Inspected Objects of Industrial Sub-Sea Structures Using Stereo Images
Authors: Bobkov Valery , Kudryashov Alexey
Published: August 2024

To date, the development of unmanned technologies using autonomous underwater vehicles (AUV) has become an urgent demand for solving the problem of inspection of industrial sub-sea structures. A key issue here is precise localization of AUVs relative to underwater objects. However, the well-known challenges of recognizing and coordinating underwater objects (impossibility to use GPS, undercurrents, etc.) do not allow high-precision navigation if based solely on a standard suite of AUV navigation tools (sonars, etc.). An alternative is a technology of processing of optical images that, at short distances, can provide higher accuracy of AUV navigation compared to a technology of acoustic measurement processing. In this study, in the context of the problem of subsea production system inspection, we propose a method to recognize underwater objects and provide coordinate reference of AUV to them, based on stereo-image processing. Its distinctive features are the use of a non-standard technique for generating a geometric model of an object from its views (foreshortening) taken from positions of a pre-made overview trajectory, the use of various characteristic geometric elements when recognizing objects, and the original algorithms for comparing visual data of the inspection trajectory with an a priori model of the object.
Investigating the Impact of 5G Technology on Supply Chain Efficiency and Marketing Innovations
Authors: Wilson George , Johnson Oliver , Brown William
Published: August 2024

This research explores the impact of 5G technology on supply chain efficiency and marketing innovations, highlighting its transformative potential and associated challenges. The study delves into how 5G enhances real-time tracking and monitoring within supply chains, significantly improving inventory management, reducing stockouts and overstocking, and ensuring optimal conditions during product transit. The advanced communication capabilities of 5G enable seamless collaboration among supply chain partners, facilitating quicker decision-making and improved risk management. Additionally, the integration of 5G technology with data analytics has optimized processes, improved forecasting accuracy, and led to cost reductions, showcasing the value of data-driven decision-making. In the marketing domain, 5G technology has driven the development of immersive augmented reality (AR) and virtual reality (VR) applications, enhancing customer engagement through interactive and experiential content. Personalized and targeted marketing strategies, supported by real-time data and deeper customer insights, have led to higher customer satisfaction and increased sales. The proliferation of connected devices, such as smart speakers and wearables, has further enabled personalized interactions and convenience, fostering brand loyalty and driving growth. Despite these advancements, the implementation of 5G presents challenges, including significant infrastructure investment, cybersecurity risks, and privacy concerns. Companies must navigate these issues by investing in robust security measures and developing comprehensive policies. The research concludes with an optimistic outlook on the future impact of 5G technology, emphasizing its potential to drive innovation, enhance operational efficiency, and transform customer experiences, ultimately shaping the future of business operations.
Characterisation of the Mitochondrial Genome of Capulus danieli: Insights into Evolutionary History and Ecological Adaptations
Authors: Xie Yaoyu , Han Yida , Mao Junxia , Wang Xubo , Hao Zhenlin , Tian Ying
Published: August 2024

Capulus danieli, a distinct member of Capulidae, exhibits a unique ecological behaviour by attaching and drilling onto the pecten, distinguishing itself from other gastropods. Herein, we present the first characterisation of the mitochondrial genome of Capulus danieli. The results showed that the genome spans 15600 base pairs, with an A + T content of 71.12% and a G + C content of 28.88%. Within this genetic makeup, we identified 13 protein-coding genes, 22 transfer RNA genes, and 2 ribosomal RNA genes. Phylogenetic analysis revealed a close evolutionary relationship between Capulus danieli and members of the Ficoidea superfamily. The divergence time estimation suggested that Capulus danieli diverged approximately 52.29 million years ago. These findings significantly contribute to our understanding of the evolutionary history and genetic architecture of Capulus danieli, shedding light on its unique ecological adaptations to the marine environment.
High-Risk Myelodysplastic Syndrome and Acute Myeloid Leukemia: Challenges of Complex Karyotype and TP53 Mutation
Authors: Peshin Supriya , Khattak Asfand , Cook Nicholas
Published: August 2024

This case report elucidates the clinical trajectory of a 60-year-old male with a history of mild cytopenias, subsequently diagnosed with myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) characterized by a complex karyotype and a TP53 mutation. The initial diagnostic evaluation included a bone marrow biopsy revealing 34% myeloid blasts with aberrant immunophenotyping and complex cytogenetic abnormalities, including losses and gains of chromosomal regions. Genetic analysis confirmed a high Variant Allele Frequency of 80% for the TP53 mutation. The patient’s management strategy commenced with a combination of Inqovi (decitabine and cedazuridine) and Venetoclax, supported by prophylactic measures to mitigate tumor lysis syndrome and vigilant infection control. While offering a glimmer of hope for improving outcomes in this high-risk cohort, this treatment approach underscores the inherent challenges posed by the aggressive nature of the disease and the TP53 mutation’s contribution to therapeutic resistance. The case highlights the critical need for personalized treatment regimens and rigorous follow-up to optimize patient care and advance our understanding of this complex malignancy.
The Influence of Digital Marketing on Consumer Purchasing Decisions
Authors: Wilson George , Johnson Oliver , Brown William
Published: August 2024

This study investigates the influence of digital marketing on consumer purchasing decisions, focusing on how various strategies impact consumer behavior. By analyzing data collected from in-depth interviews and thematic analysis, the research highlights several key factors driving consumer engagement and purchases. Personalized content emerged as a significant factor, with tailored recommendations and customized email campaigns creating a sense of individual attention and enhancing consumer involvement. Social media platforms played a pivotal role, with advertisements, influencer endorsements, and user-generated content significantly affecting purchasing decisions. The impact of visual content, including high-quality images and videos, was also notable, as these elements helped consumers better understand products and increased their confidence in making purchases. Email marketing proved effective, particularly when offering exclusive discounts and creating a sense of urgency. Mobile marketing demonstrated its growing influence, with consumers valuing the convenience of mobile-friendly websites and app notifications. The integration of artificial intelligence further improved the shopping experience by providing instant assistance and personalized recommendations. Ethical considerations, such as data privacy and honest advertising, were essential for maintaining consumer trust and loyalty. User-generated content provided authentic insights that influenced purchasing decisions, while omnichannel strategies offered a seamless and flexible shopping experience. Gamification elements, including reward programs and interactive challenges, enhanced consumer engagement and motivation. The study concludes that a multifaceted approach to digital marketing, incorporating these strategies, is crucial for effectively engaging consumers and driving sales. The findings offer valuable insights for marketers aiming to optimize their digital marketing strategies in the evolving digital landscape.
EVALUASI SISTEM INFORMASI PEMINJAMAN TEMPAT DAN KENDARAAN UNIVERSITAS NEGERI JAKARTA MENGGUNAKAN METODE HUMAN, ORGANIZATION, AND TECHNOLOGY (HOT)-FIT
Authors: Amsal Wahyudi  , Diat Nurhidayat  , Fuad Mumtas
Published: August 2024

Biro Umum dan Kepegawaian (BUK) Universitas Negeri Jakarta (UNJ) merupakan salah satu bidang yang memiliki tugas mengelola barang milik negara. Dalam melaksanakan tugasnya, BUK menggunakan sistem yang bernama sistem informasi peminjaman tempat dan kendaraan UNJ. Namun belum pernah dilakukan evaluasi oleh BUK terkait penggunaan sistem informasi ini, padahal dalam borang BAN PT menyebutkan bahwa semua sistem informasi yang ada di suatu perguruan tinggi harus dilakukan evaluasi karena bertujuan untuk menyesuaikan kebutuhan pengguna. Dengan menggunakan sistem informasi peminjaman tempat dan kendaraan UNJ sebagai objek penelitian dan dengan menggunakan metode HOT-FIT yang menggunakan aspek Human, Organization, and Technology untuk mengetahui permasalahan yang ada pada penggunaan sistem, kepuasan pengguna, struktur organisasi, kualitas sistem, kualitas informasi dan kualitas layanan. Metode yang digunakan adalah metode kualitatif dengan subjek penelitian merupakan 6 mahasiswa aktif UNJ yang telah menggunakan sistem informasi peminjaman tempat dan kendaraan UNJ minimal 2 kali, 3 pegawai UNJ yang telah menggunakan sistem informasi peminjaman tempat dan kendaraan UNJ dan 3 pihak dari BUK UNJ. Hasil penelitian yang didapatkan dari penelitian ini adalah terdapat beberapa permasalahan pada sistem informasi peminjaman tempat dan kendaraan UNJ yaitu pada alur peminjaman, standar operasional prosedur, sosialisasi penggunaan sistem informasi, akses admin, keakuratan data, dan respon ketika terjadi permasalahan.
Efektivitas Formulasi Ekstrak Daun Sirih Merah (Piper crocatum) Dengan Ekstrak Daun Pandan Wangi (Pandanus amaryllifolius Roxb.) Terhadap Hiperglikemia Serta Histopatologi Pankreas Mencit
Authors: Handini Hesti Dwi , Rohmah Jamilatur
Published: August 2024

Diabetes mellitus (DM) is metabolism diseases characterized by hyperglycemia and change to the  cell histophatology structure of pancreas. Red betel leaves (Piper crocatum) and fragnantpandanleaves (Pandanus amaryllifolius Roxb.) has compound metabolic secondary that efficacious as anantidiabetic. The aims of the study were seek the best extract formulations of red betel leaves (EDSM) and extract of fragnantpandan leaves (EDPW) to lowering blood glucose level, repair the damage of islet langerhans, and comparing the effectiveness with metformin. The research was drafted by post test only control group design using male mencit (Mus musculus) for 31 days. In this research used complete random design with 14 treatment groups, they are normal group, DM group, metfomin group, EDPW 100%group, EDSM 10%+ EDPW 90%group, EDSM 20% + EDPW 80%group, EDSM 30% + EDPW 70% group,EDSM 40% + EDPW 60% group,EDSM 50% + EDPW 50%group,EDSM 60% + EDPW 40% group,EDSM 70% + EDPW 30% group, EDSM 80% + EDPW 20% group, EDSM 90% + EDPW 10% group, and EDSM 100%group. Based on in vivo bioassay showed that metformin have a lot of lowering blood glucose levels (p<0,05) than formulation of EDSM and EDPW but not better in improving islet langerhans tissue damage and treatment DM group with EDSM 50% + EDPW 50% effective lowering blood glucose level comparable with metfomin (p>0,05) and better in improving islet langerhans tissue damage caused by alloxan diabetogenic compound.
Penentuan Konsentrasi Ammonium dalam Air Sungai Pelayaran Ngelom
Authors: Ngibad Khoirul
Published: August 2024

Ammonium (NH4+) is a form of ammonia (NH) compound in thewater at low pH. The ammonium can cause poisoning in aquatic life. The purpose of this study was to determine the ammonium concentration in the Ngelom river water sample that flows in the Ngelom village, Taman district, Sidoarjo Regency. The measurement of ammonium concentration in river water samples was carried out using the UV-Vis spectrophotometrymethod with Nessler reagent based on the Nessler reagent reaction (K2HgI4) with ammonium in a base solution which would form a colloidal yellow brown dispersion which absorbance measured at 410 nm. Ammonium absorbance is proportional to the ammonium concentration in the sample. The sampling technique in this study used purposive sampling. Samples were taken at 10 trial points, every 5 meters to the right and left from the center point (Ngelom's River bridge to Maarif Hasyim Latif University). Ammonium concentration was determined in the linear concentration range of 1 – 5 mg/L with a correlation coefficiency value (r) of 0.9615 with limit of detection and limit of quantitation of 0.105 mg/L and 0.352 mg/L, respectively. The results of testing the river water samples showed that the ammonium concentration in 10 samples of river water ranged from 1.61 – 14.68 mg/L. All of the sample was not eligible requirements of the Republic of Indonesia PP No. 82 of 2001 about Water Quality Management and Water Pollution Control.