bluuebunny/crossref_metadata_2025 huggingface dataset:
Allocation under Justice
Authors: Niu Jinggong , Wang Zerun , Ning Boyuan , Yang Wanqing , Sun Xuehan
Published: June 2024

This paper addresses the problem of allocating 30 unclaimed items to researchers in a fair manner. Five definitions of fairness are derived, considering philosophical, social, and economic aspects. A quantitative evaluation system is established to measure fairness. The allocation is then evaluated using this system. Foundational models, based on zero-one integer linear programming, are developed for each definition. Social interactions between researchers are incorporated into the models, including competition, collaboration, and an auction model. The second section introduces the concept of item relationships, as the value of items can be enhanced when certain items are possessed together. Matrices are used to represent these relationships, making the model more applicable to real-world situations. Sensitivity analysis is conducted to assess the accuracy of each model. The coding implements linear programming and analysis, presenting the results in various visual forms. After refining the model, distributions are calculated using different models and compared. The model is then applied to distribute items among five researchers, and multiple fairness assessments are conducted based on different definitions. The results indicate that, out of four definitions (sixteen in total), two are fair, one is relatively fair, and one is unfair. In conclusion, this paper utilizes linear programming to evaluate fairness in allocation scenarios. The model is refined with adjustments such as mutual interactions, auctions, item interdependencies, and relationships. It provides a comprehensive assessment of fairness and offers practical insights for decision-makers when addressing allocation issues, not only for this particular problem but also for similar situations in society.
KFC's Development Strategy in China
Authors: Li Siyu
Published: June 2024

An In-depth Analysis of KFC's Customized Marketing Strategy in the Chinese Market and its Significance for International Business Expansion. KFC, an eminent player in the global restaurant sector, has made a substantial and influential footprint in China's vast consumer market. The primary aim of this research is to conduct a meticulous examination of KFC's tailored marketing strategy employed within the intricate landscape of the Chinese market. This investigation delves into the intricacies of how KFC has adapted its diverse product offerings to cater specifically to local preferences, implemented culturally resonant marketing campaigns, and devised strategic distribution channels that effectively penetrate the unique characteristics of the Chinese market. By meticulously scrutinizing KFC's market positioning and strategies in China, this comprehensive analysis underscores the pivotal role of carrying out exhaustive market research and crafting contextually appropriate marketing plans. The findings offer actionable insights and serve as instructive case studies for other multinational enterprises seeking to establish a foothold or expand their presence in the highly competitive and rapidly evolving Chinese market. Thus, this study contributes to the broader discourse on international marketing strategy, highlighting the importance of localization and strategic adaptability in achieving sustainable business success across diverse markets.
Research on AAPL Stock Price Prediction Using ARIMA Model
Authors: Zhang Guanglei
Published: June 2024

As the cornerstone of technological development, NYSE share prices have attracted international attention. However, due to the frequency of price fluctuations and the sensitivity to the international economic situation, NYSE share prices are difficult to predict. Due to significant differences in prices before and after the pandemic, this will increase the difficulty of prediction and decrease its accuracy. The ARCH model, as a typical prediction model, is highly favored by scholars from various countries due to volatility of the NYSE returns. This article considers the ARCH model as a best method to forecast stock market volatility compared to the GARCH model. Following the conditional variance predictions, the study proposes Markov-switching model. The conclusion is as follows: in the 2021-2024, the prices will have a slight upward trend, while in the next year, the overall trend will show a relatively increasing trend in NYSE. Therefore, this article believes that it is recommended to invest in stocks in NYSE in the short term. At the same time, this article believes that ensuring the US economic stability can improve the stability in stock prices and thus gain an advantageous position in short-term investments.
The Way China's Futures Market Serves the Real Economy
Authors: Fang Junze
Published: June 2024

The futures market was initially established to address the limitations of the spot market and to serve the real industry in the supply side of raw material stability. With the development of the financial system, futures as major financial derivatives and global markets are highly connected. Previously, scholars have conducted many in-depth studies on the role played by the futures market, while this paper mainly focuses on China, focusing on the impact of the futures market on the real industry. The futures market has matured over the past three decades of development in China to become a major derivative trading market. The role of the financial market is ultimately implemented to serve the real industry. This paper focuses on the system of the futures market in China, and the core function of the futures market, and argues how the futures market can serve China's real economy. By reviewing the previous studies, this essay summarises the main roles of the futures market and provides suggestions for the development of the futures market in China based on the current situation of the Chinese market.
Revolutionizing Performance Management: Towards Agile, Personalized, and Technologically Enhanced Systems
Authors: Wang Ao , Li Zetao
Published: June 2024

This comprehensive study delves into the evolutionary trajectory and contemporary dynamics of performance management systems (PMS), underscoring the transformative shift from traditional, appraisal-centric models to agile, continuous feedback mechanisms. It explores the foundational components of effective PMS, including goal setting, feedback, and developmental appraisals, and examines their impact on organizational performance through enhanced productivity, service quality, and a culture of continuous improvement. Furthermore, the paper addresses the challenges inherent in implementing PMS, such as resistance to change, maintaining objectivity, and the integration of technology, while also forecasting future trends, including the adoption of AI and machine learning, the personalization of development plans, and a heightened focus on employee well-being and engagement. Through a synthesis of theoretical insights and practical considerations, this study provides a holistic view of the role of PMS in driving organizational success and employee development in a rapidly changing business environment. It aims to contribute to the scholarly discourse on performance management by offering recommendations for designing systems that are not only efficient and fair but also adaptive to the evolving needs of the workforce and the organizational landscape.
Exploring the Macro Impact on China's Economy in the Post-epidemic Era and the Russia-Ukraine Conflict and the Countermeasures
Authors: Li Zhichen
Published: June 2024

in contemporary times, the global economy has witnessed increased interconnectivity. This also means that in the context of the global economy, China is more susceptible to the influence of external factors. In recent years, the COVID-19, which has spread widely around the world, has severely impacted the development of China's real economy with its high infectivity and uncertainty. At the same time, due to the geopolitical impact of the Russia-Ukraine conflict, China's major imports of fertilizers from Russia and cereals from Ukraine have been weakened. Finding ways to cope with the weakening of the economy has become a top priority in line with the development trend. The study suggests that top priority is to increase the diversity of food production and increase the diversification of national food reserves. At the same time, it is necessary to strengthen the country's strategic energy reserves to reduce external dependence and prevent future problems. Externally, China are supposed to strive to build a global economic community, strengthen international cooperation, and be able to "learn from the enemy and learn from the enemy".
The Fusion of Virtual and Reality: The Innovation Road of Exhibition Industry Driven by Science and Technology
Authors: Wang Zihan
Published: June 2024

From digital transformation to the introduction of virtual Reality and augmented reality technologies, the exhibition industry is adapting to the demands of the new era. This study examines the transformative effects of digital technologies on the exhibition industry, highlighting the integration of Virtual Reality (VR), Augmented Reality (AR), and hybrid models that blend online and offline elements. With the advent of the COVID-19 pandemic, the urgency for digital transformation has accelerated, prompting the industry to explore innovative engagement strategies that encompass both virtual and physical interaction platforms. By focusing on case studies such as the Canton Fair, this research elucidates how hybrid exhibition models enhance global reach, improve cost-efficiency, and foster sustainable development practices within the industry. Furthermore, the analysis addresses the technical challenges and the need for continual adaptation to technology, which are critical for maintaining the relevance and competitiveness of exhibitions in a digitally evolving landscape. The findings suggest that a balanced integration of online and offline elements not only mitigates the impact of global disruptions but also sets a forward-looking standard for the exhibition industrys growth and sustainability.
A Comparative Study on the Market Competition Strategies of Tencent and Alibaba Based on Python Data Analysis
Authors: Zhao Qianjun
Published: June 2024

With the rapid development of the Internet industry, Tencent and Alibaba, as the two major technology giants in China, show different competitive strategies in the market. Based on the Python data analysis method, by collecting and analyzing the data of 2023, this paper makes an in-depth comparative study of the market competition strategies of Tencent and Alibaba. The study finds that Tencent focusing more on social and entertainment, while Alibaba focuses more on the development of e-commerce and fintech. In addition, the two companies show distinct differences in marketing strategies: one company focuses on precise positioning and personalized promotion, using big data and artificial intelligence technology to explore customer needs and achieve efficient marketing, while the other company emphasizes brand building and word of mouth communication, through online and offline integrated marketing, enhance brand influence and market share. In terms of technological innovation, the two companies also have different strengths: the former is committed to the development of cutting-edge technologies, constantly innovating and leading the industry trend; the latter focuses on the practicality and stability of technology applications, and meets the actual needs of users through continuous optimization of product experience and functions. This paper provides a valuable reference for enterprises to formulate market competition strategies, and helps to improve the market competitiveness and sustainable development ability of enterprises, not only enriches the theoretical system of market competition strategies, but also provides a new perspective and method for future research.
Application and comparative analysis of adaptive strategies in multi-armed bandit algorithms
Authors: Zhou Jin
Published: June 2024

This study explores the application and comparative analysis of adaptive strategies in multi-armed bandit algorithms, specifically focusing on the -greedy algorithm, the Upper Confidence Bound (UCB) algorithm, and the Thompson sampling algorithm. By designing and implementing a series of experiments, the research identifies Thompson sampling as the most effective method, despite its greater reward fluctuation, highlighting its superior adaptability in uncertain environments. The comparative analysis reveals that each algorithm possesses distinct advantages and drawbacks, necessitating a strategic selection based on the specific context of the application. This paper emphasizes the importance of adaptive strategies in optimizing decision-making processes in stochastic settings and underscores the need for further exploration into more sophisticated and optimized adaptive strategies to enhance algorithmic performance and efficiency. Through a meticulous examination of these algorithms, the research contributes valuable insights into the dynamic field of machine learning, offering a foundation for future advancements in adaptive strategy optimization.
AI-driven design and enhanced immersion in open-world games
Authors: Zhai Qirui
Published: June 2024

The essay conducts a systematic analysis of the present condition and difficulties faced by AI application in open-world games by means of a literature survey. The text delves into strategies and techniques for augmenting the level of immersion in games, expanding the interaction with non-player characters (NPCs), and advancing customized gaming experiences through the utilization of artificial intelligence (AI) technology. The ultimate objective is to augment players' self-awareness within games and investigate novel approaches to social interaction. In order to accomplish this objective, a novel open-world game prototype has been designed with the purpose of advancing AI game development. This is achieved through the exploration of several game types that use AI. The objective of designing AI games is to augment players' self-awareness in gaming and advance the creation of novel social interaction techniques for future games
Proyecto Slam : The Didactic Side of Slams
Authors: Teuma Jonathan
Published: June 2024

This article aims to describe Proyecto Slam’s notable trajectory as well as its motivations and underlying rationale, thus serving as a starting point for the forthcoming investigation into the effectiveness of the program itself. Working principally in the city of Jaen, Andalucia, with students undergoing their first four years of obligatory secondary education (known as ESO in Spanish), Proyecto Slam is unique in the world in that it has managed to integrate itself into the curricula of the schools in which it operates, whereas all other similar projects seem to work within the parameters of extracurricular activity and therefore have a more limited reach. The fact that Proyecto Slam is made available to all the children within the particular schools in which the program is implemented, and not just those with a predisposition for reading and/or writing poetry, offers the academic community a unique opportunity to investigate up to which point the implementation of reading and writing poetry workshops can improve students’ aptitude for and attitudes about the study of language and literature. Any and all translations in this article have been carried out by me.
Active labour market programs improve employment and earnings of young people
Authors:   World Bank,,   International Labour Organization,
Published: June 2024

This ILO-WB Policy brief examines the impact of youth-targeted active labour market programs (ALMPs) on employment and earnings, based on a systematic review of evaluations conducted from 1990 to 2021.
Peranan Badan Usaha Milik Desa (Bumdes) Pada Kesejahteraan Masyarakat Pedesaan ( Studi Kasus Pada Bumdes Di Kabupaten Mempawah, Kalimantan Barat)
Authors: Sunaryono Sunaryono , Salahuddin Muhammad , Sapta Dilla Zulka
Published: June 2024

This study aims to analyze the existence of Village-Owned Enterprises (BUMDes) on community welfare. This research uses the Community Based Research method, which consists of 3 stages including: a. indepth interview stage with participants who are key actors in BUMDes, b. the stage of group discussion based on the interest groups in the village, and c. the FGD (Focus Group Discussion) phase where the discussion is carried out by all interested parties. All this was done to validate and verify the findings in the previous stage. The results of this study indicate the presence of BUMDes has had an impact on changes in the economic and social fields of rural communities. Although it has not been able to provide significant benefits for improving the welfare of villagers directly, it has slowly been able to provide solutions to several problems, especially related to the marketing of superior products and employment.
A New 3-Phase 2-Level Buck Inverter with Switching Loss Improvement
Authors: Yen-Nhi Tran Thi  , Uyen-Nhi Luu Pham  , Vinh-Thanh Tran  , Duc-Tri Do
Published: June 2024

This paper proposes a 3-phase 2-level inverter configuration combined with a buck DC-DC converter to improve the switching loss of semiconductor devices. Compared to the traditional 3-phase 2-level inverter configuration, this configuration can reduce the number of switching times on the inverter side by about 2/3 compared to the sine Pulse Width Modulation technique (sine PWM) and 1/2 compared to the Discontinuous PWM (DPWM). Different from traditional configurations and techniques (DC-link voltage is constant), this configuration controls DC-link voltage to change and equal to the maximum pole voltage on the inverter side. Hence, the phase with the maximum and minimum voltages has no switching. In addition, compared to traditional techniques, the switching voltage of the switches inverter side is also significantly decreased. To verify the advantage of reducing switching loss, the simulation results of power loss analysis were performed using PSIM and PLECS software and experimented on the experimental model. In experimental results, when the output power is 900 W, the proposed configuration efficiency is 3.36% larger than the traditional configuration.
Workspace Mapping and Force Control for the 3-DOF Robot
Authors: Tien Dat Nguyen  , Phi Cuong Ly  , Minh Khiem Tran  , Duc Thien Tran
Published: June 2024

This paper proposes a mapping method to unify two workspaces for the robot arm on the teleoperation system and apply the haptic method when the robot enters the singularity area. The teleoperation system mainly consists of a single master and a single slave. The master is a joystick device, and the slave is a 3-DOF manipulator. The master effectuates a setpoint signal to control the 3-DOF manipulator movement along a planned trajectory. Master and slave communicate via a wireless network. Due to differences in structure and dimensions, the workspaces of the master and slave are not analogous. Therefore, the Position mapping method is utilized to map two workspaces together. Otherwise, when the slave moves out of the limited space, the manipulator does not operate. The Haptic feedback is proposed to create the force, which reflects the palm of the operator. So the operator can feel and move to the permitted workspace. Several experiments have been implemented on the actual model to evaluate the effectiveness of the proposed system. The experimental results show the potential use of the teleoperation robotic system employing the Novint Falcon device, 3-DOF manipulator, and Position mapping method. This efficient mapping technique spans the slave workspace with high dexterity.
Mô Hình Học Thích Ứng: Một Hướng Tiếp Cận Nhằm Nâng Cao Chất Lượng Nhận Dạng Đối Tượng
Authors: Diem Phuc Tran
Published: June 2024

Trong thời gian gần đây, lĩnh vực nghiên cứu về Trí tuệ Nhân tạo (AI) đã đạt được những tiến bộ đáng kể. Có nhiều ứng dụng thực tế đã xuất hiện nhờ vào những thành tựu mới, như: công nghệ nhận dạng, xe tự lái, dịch thuật,... và đặc biệt là sự bùng nổ của các Chatbot sử dụng mô hình ngôn ngữ lớn. Các tập đoàn và viện nghiên cứu hàng đầu trên thế giới đang chạy đua phát triển các mô hình AI có khả năng tương tác chính xác theo yêu cầu. Tuy nhiên, mặc dù đã đạt được một số thành tựu nhưng đến nay, các mô hình AI vẫn chưa đạt được sự thông minh tương đương với bộ não con người. Dựa trên các nghiên cứu và thực nghiệm, chúng tôi đề xuất một phương pháp có khả năng thích ứng, giúp mô hình liên tục học trong quá trình vận hành. Mô hình này sẽ lựa chọn và lưu trữ tri thức từ những trải nghiệm thu thập trước đó, nhằm phục vụ cho các nhiệm vụ theo yêu cầu. Giải pháp đề xuất gồm 4 bước: (1) Khởi tạo mô hình nhận dạng ban đầu; (2) Xác định và thu nhận dữ liệu từ các trường hợp khác nhau của đối tượng trong quá trình theo vết; (3) Tìm kiếm, lựa chọn các mô hình, các siêu tham số (hyperparameters) tối ưu trên tập dữ liệu vừa tìm được; (4) Huấn luyện và cập nhật lại mô hình. Kết quả của nghiên cứu đề xuất có thể là một hướng phát triển mới của một mô hình học thích ứng trong nhận dạng đối tượng nâng cao.
Hepatopulmonary syndrome- a case report
Authors:   Department of Medicine, Kuwait Hospital Sharjah, Emirates Health Services, Sharjah, United Arab Emirates, Mattoo Saima Majid , Omar Alhaitham Mohammed ,   Department of Medicine, Kuwait Hospital Sharjah, Emirates Health Services, Sharjah, United Arab Emirates, Thomas Noble ,   Department of Medicine, Kuwait Hospital Sharjah, Emirates Health Services, Sharjah, United Arab Emirates, Gopal Rajesh Gupta ,   Department of Medicine, Kuwait Hospital Sharjah, Emirates Health Services, Sharjah, United Arab Emirates
Published: June 2024

Patients with long-standing pulmonary hypertension and liver disease are prone to the development of hepatopulmonary syndrome. Several diagnostic modalities and treatments have been researched for its management. In this paper, we will discuss the approach to a patient with HPS based on a patient admitted to our facility.
VIOLÊNCIA SEXUAL INTRAFAMILIAR CONTRA CRIANÇAS E ADOLESCENTES
Authors: Araújo Vitória Maria Roberto
Published: June 2024

Muito se discute a importância sobre o conhecimento dos temas, violência sexual intrafamiliar, estupro de vulnerável e incesto, na qual a vítima é menor de quatorze anos e não obtém o total discernimento e o entendimento sobre ato, e desta forma na maioria dos casos, resulta -se culpando pelo o abuso sofrido. Destaca também que essa violência é desde a antiguidade, na qual ocorria o abuso e a família escondia, por medo ou vergonha, medo do que o autor poderia fazer, na configuração do recinto familiar, e pela sociedade, de um futuro julgamento opressor e preconceituoso, além do que, ordinalmente continua sendo tabu, afinal é um ato horrendo e repugnante, além do mais, traz uma série de negatividade para a vida da criança e do adolescente, na qual demonstra -se como evitar o ato incestuoso, onde deveria começar dentro do anseio familiar, na qual deveriam encontrar segurança, cuidado e proteção.
Ứng dụng hút áp lực âm điều trị bỏng và tổn thương phần mềm sâu lộ gân, xương tại Bệnh viện Hữu nghị Việt Tiệp
Authors: Phan Anh , Nguyễn Hồng Đạo , Phạm Trung Dũng , Nguyễn Văn Dương , Nguyễn Anh Tú , Nguyễn Phúc Hiệp , Đỗ Văn Thiếu
Published: June 2024

Điều trị các khuyết hổng mô mềm phức tạp với xương, gân lộ ra ngoài luôn là một nhiệm vụ đầy thách thức đối với bác sĩ phẫu thuật. Mặc dù các thủ thuật vạt được coi là tiêu chuẩn để giải quyết các khuyết hổng mô mềm phức tạp lộ gân, xương nhưng cũng có rất nhiều khó khăn như thời gian phẫu thuật kéo dài, nguy cơ huyết khối, tình trạng vết thương phức tạp. Tại Bệnh viện Hữu Nghị Việt Tiệp, Hải Phòng, chúng tôi bắt đầu áp dụng liệu pháp hút áp lực âm cho những ca bệnh này nhằm nâng cao hiệu quả điều trị, như một biện pháp thay thế với các kết quả bước đầu rất khả quan.
The model and role of Migrant Health Volunteers (MHVs) in Disease Prevention and Control (DPC) along Thailand’s border with Myanmar, Lao PDR and Cambodia
Authors:   The Office of Disease Prevention and Control, Region 10 (ODPC 10th), Ubon Ratchathani, Thailand, Mujarin Boodsadee , Srithongtham Orathai ,   Innovation and research development Section, ODPC 10th Ubon Ratchathani, Thailand, Nak-ai Worayuth ,   Department of Research and International Relations, Sirindhorn College of Public Health, Chonburi, Chonburi, Thailand, Srisookkum Taweewun ,   School of Public Health, University of Phayao, Phayao, Thailand
Published: June 2024

This study aims to synthesize the model and the role of migrant health volunteers (MHVs) in DPC, supporting public health operations and promoting migrant access to health services along the Thai border with Myanmar, Lao PDR, and Cambodia. The study areas comprised six Provinces. The MHVs subjects included 75 people and stakeholders engaged in border health work included 84 people. The tools included a questionnaire and interview guide. Data were collected through both group and individual interviews. Quantitative data were analyzed using descriptive statistics, while qualitative data were analyzed using content analysis. Two models were the paired working model involved an individual MHVs co-worker between Thailand and public health volunteers in neighboring countries with different names such as MHVS buddy, Xiao (friendship), and Xiao Sukkhapap (health friendship), and the specific MHVs workgroup model, they were residing together as a community and mainly classified according to the characteristics of the MHVs. Two MHVs’ roles were the first, to operate and support the work of public health officials in disease surveillance and DPC were found at level 5 (mean = 12.85, SD = 2.86). The activities comprised acting as a health dam to prevent Communicable Diseases (CD), an event report, a co-worker with the Surveillance Rapid Response Migrant Team (SRRMT), and a campaign to provide knowledge and facilitate coordination between the government and the hard-to-reach ethnic minorities group at village and district levels. The second role involved promoting access to medical care for migrant workers found at level 4 (mean = 28.52, SD = 8.02). The activities were to facilitate and coordinate channels for accessing health care services, conduct home visits, and enable communication. MHVs are essential to DPC within the migrant worker community and strengthen support for health personnel for surveillance and DPC at border areas.
Use of CONUT Score for Determination of Ischemic Stroke Patients
Authors: Agustiawan  , Novita Dewi , Meilina Ayu
Published: June 2024

Stroke patients are vulnerable to malnutrition, which is associated with poor outcomes, both in the acute and rehabilitation phases. Malnutrition at admission and one week after admission is a predictor of poor outcomes within or after three months of stroke. Adequate nutritional assessment and management are necessary to improve the outcomes of stroke patients. The CONUT score can be used for nutrition assessment in stroke patients.
The Effect of Workload on Employee Performance at PT. Suracojaya Abadimotor Daya Branch, Makassar City
Authors: Ayu Asrianingsi  , Akhmad Akhmad , Nasrullah Nasrullah
Published: June 2024

The typef this research is quantitative research with the aim of knowing the effect of workload on employee performance at PT. Suracojaya Abadimotor Daya Branch, Makassar City. This sample was taken from PT. Suracojaya Abadimotor Daya Branch, Makassar City. The type of data used in this research is quantitative data obtained from published questionnaires and is related to the problem under study. Data collection was carried out by observation and distribution of questionnaires at PT. Suracojaya Abadimotor Daya Branch Makassar City with a research population of 37 employees and the sample used was also 37 respondents. The data analysis techniques used in this research are validity testing, reliability testing, classical assumption testing, simple regression analysis, hypothesis testing (t and R² tests). Based on the research results and discussions that have been carried out, the results of this research show that there is a significant positive influence between workload and employee performance at PT. Suracojaya Abadimotor Makassar City Power Branch as evidenced by the workload regression coefficient value of 0.354 and tcount value 2.244 > t table = 2.030. With a significant value of 0.031 <0.05.
Enhancement of NoSQL Database Performance Using Parallel Processing
Authors: Ismael Imran Inas
Published: June 2024

In the burgeoning realm of big data, document-oriented NoSQL databases stand out for their flexibility and scalability. This paper delves into the optimization of these databases, specifically through the lens of parallel processing techniques. A comparative study was conducted against the traditional non-parallel approaches, where marked performance enhancements were observed. For instance, the execution time for retrieving movies of a specific year decreased by over 80% when parallel processing was applied, plummeting from 1.578765 seconds to a brisk 0.300000 seconds. Memory usage and CPU utilization were meticulously recorded, revealing up to a 70% reduction in peak memory consumption in certain queries, and a moderate fluctuation in CPU usage between 49.25% to 75.2%. This indicates not only improved efficiency but also a prudent utilization of system capacity, without overtaxing resources. However, the study identified scenarios, such as highly complex queries, where the gains from parallel processing were less pronounced, suggesting a marginal improvement in CPU utilization. While the findings advocate for the adoption of parallel processing in handling intensive data retrieval tasks, it is recommended that future research should further scrutinize the scalability thresholds and explore alternative parallelization strategies to fortify the efficacy of document-oriented NoSQL databases.
Deep Learning Applied to Stock Prices: Epoch Adjustment in Training an LSTM Neural Network
Authors: Verardi Galegale Napoleão , Shimabukuro Camilo Ilzo
Published: June 2024

Research on recurrent neural networks applied to financial time series is still underexplored, even more so for series on Brazilian stock prices. The research gap was identified in studies on regularization with early stopping to improve predictive capacity and reduce overfitting for the type of neural network used. This study aims to analyze the effect of the number of epochs on the prediction error dispersion of a recurrent neural network using the Long Short-Term Memory – LSTM approach on the stock prices of a Brazilian company, aiming to minimize prediction error and reduce the risk of overfitting. The method is of an applied nature with a quantitative approach and uses an experimental procedure to analyze the behavior of the prediction error of a recurrent neural network as a function of the number of epochs. As a result, a range of the number of epochs was identified that extracts the best trade-off relation between predictive capacity and overfitting risk for a given network configuration. It was also identified how the dispersion of prediction error initially declines sharply and then stabilizes asymptotically. The study offers a greater understanding of the behavior of the prediction error, seeking greater efficiency in predictive techniques on financial time series in order to add value and reduce uncertainties in the decision-making process for asset managers and investors.
Marketing Technique in Healthcare Services: A Narrative Review
Authors: Zade Monika , Tiwade Yugeshwari R , Shahu Shivani , Bandre Gulshan , Surkar Sanket
Published: June 2024

The marketing strategy used in tertiary care hospital medical services uses a variety of tactics to attract, keep, and engage patients. The primary objective is to provide patients with excellent medical care and positive practice. The methods are intended to increase the confidence and trustworthiness while giving them a unique and memorable experience. Digital marketing is one of the most critical marketing strategies for healthcare services. Social media, Search Engine Optimisation (SEO), and other powerful techniques are required to attract new patients and keep them interested in the hospital. Another strategy to encourage current patients to tell their friends about the hospital is to use patient referral programmes and word-of-mouth advertising. Implementing patient-centred services and individualized treatment is another tactical approach.
Empirical Insights into Salvage Wood Logistics
Authors: Kogler Christoph , Beiglböck Alexander , Rauch Peter
Published: June 2024

Climate crises and natural disasters increasingly challenge wood supply chains by the critical need to transport high volumes of salvage wood quickly out of the forests to limit wood value loss and to prevent inducing forest calamities. Salvage wood logistics covering unimodal, multimodal and multi-echelon unimodal transport as well as storage plays an essential role in tackling existing problems and future risks by linking diverse actors along wood supply chains. Since little is known about specific challenges in salvage wood logistics, an extensive empirical study was conducted to evaluate logistics concepts and coping strategies involving stakeholders representing the entire wood value chain in Austria. The knowledge and experience of 161 forest owners, transport operators and wood-based industry actors were surveyed based on questionnaires with 108 matrix, rating, Likert scale and open questions. Results show a significant loss in salvage wood transport capacity due to long waiting times at receiving mills leading to more than one-fourth lost transport capacity in the unimodal salvage wood supply chain. Sustainable and resilient wood supply chain management can be achieved by increasing train and semitrailer truck wood transport as well as wood storage capacity and by improving both working conditions for self-loading log-truck drivers and cooperation between stakeholders.
Power Curve Determination and Electrification of Powertrain System of Harvester Crane Swinging
Authors: Mergl Václav , Procházka Petr , Nagy Miroslav , Ziezinger Lukáš , Vítek Ondřej , Gulan Ladislav
Published: June 2024

The work deals with the determination of the power curve for driving the swinging of the hydraulic crane of the harvester and the subsequent replacement of the hydraulic motor with an electric motor for the possibility of recuperating braking energy. For this purpose, the hydraulic circuit of the crane slewing gear was measured with flowmeters during its rotation between the angles –105° to +105°, –90° to +90° and –36° to +22°. The power was calculated from the measured values. The maximum power needed to swing the harvester crane was 9720 W. With this power, the torque reached 187.98 Nm. The average value of the power needed to swing the hydraulic crane was only 2472 W at a torque of 47.81 Nm. From these values, a synchronous electric motor with permanent magnets with a nominal speed of 2000 rpm (rotation per minute) and a power of 3246 W emerged as suitable for replacing the hydraulic motor. The use of an electric motor would, however, require a planetary gearbox with fast input speeds that would then be reduced to slow output speeds. The research results demonstrated the possibility of using an electric motor to swing the hydraulic crane during the work cycle of the harvester for the use of energy recovery from crane braking and thus the possibility of reducing fuel consumption and emissions.
The Use of Recycled Wood as a Factor in Production Efficiency of Manufacturers in V4 Countries
Authors: Staňková Michaela , Pipíška Tomáš
Published: June 2024

This article deals with a quantitative assessment of the production efficiency of wood-processing enterprises in the V4 countries. Efficiency was calculated through a non-parametric method of data envelopment analysis. This method allows the construction of an efficiency frontier without having to make any assumptions about its shape. The analyses are based on the financial statements of individual companies from 2018 to 2021. Efficiency assessments are therefore based on the actual performance of individual companies (i.e., quantities of output, costs, and capital). This micro perspective allows us to examine differences in efficiency not only by country but also by company size. A total of 10 companies have been selected in the V4 countries that can be identified as actively using recycled material in their production. The results of our empirical analyses show that this group of »recyclers« performs better than other market players in terms of median efficiency. Even in 2020, which can be marked as the beginning of the Covid-19 pandemic, overall, these companies had better results. Our results also show that the efficiency is significantly affected by company size (which is also reflected in economies of scale).
Evaluating the Use of Smartphone Applications for Log Stacks Volume Measurement in Turkish Forestry Practices
Authors: Ucar Zennure , Eker Remzi , Bilici Ebru , Akay Abdullah Emin
Published: June 2024

With recent technological development, photo-optical measurement systems in mobile devices have been increasingly used for automatic wood volume estimation because of their ease of use and efficiency. This study aimed to evaluate the use of photo-optical mobile apps for measuring solid wood volume of the stack in Turkish forestry practices. For this study, 21 log stacks were measured using the traditional technique and two photo-optical mobile apps – iFovea Pro and Timbeter. A strong correlation was found between the traditionally measured solid wood volume of the stack and the volume estimated using both photo-optical apps, the number of logs in the stack, and the mean diameter of the stack. The estimated number of trees from the two apps and manual measurement were not statistically different. However, statistical differences were observed between all three measurement approaches for the mean diameter of the stack. Also, statistical test results indicated mixed results for estimated solid wood volume in the stack. In addition, the study tested whether both apps correctly measure the diameter of the logs in the stack. Thus, manually measured diameter of the randomly selected 50 trees within 21 stacks was compared to the log diameters measured automatically using both mobile apps. The results indicated no statistical difference between the three measurement approaches. The study results are promising for using photo-optical mobile apps in Turkish forestry in terms of transition to digital forestry. However, there are still opportunities to improve the capabilities of the method through further analysis of estimating stack volume using the image from both sides of the logs considering different quality and diameter classes with bark conditions.
Transoxiana and Beyond: Cultural ties between Afghanistan and Uzbekistan in the 20th Century
Authors: Hamdard Hasamuddin
Published: June 2024

The article seeks to provide a comprehensive analysis of the cultural interactions that took place between Uzbekistan and Afghanistan in the 20th century. The study will examine the pivotal elements and significant events that influenced their strong bond and facilitated its expansion. These bonds have been reinforced via reciprocal esteem, common traditions, and a shared history. In the 20th century, the relationship between Afghanistan and Uzbekistan underwent a transformation, entering a new phase marked by increased collaboration and cross-cultural exchange. Additionally, it aims to furnish readers with information regarding the pivotal and sophisticated phases of their relationship's progression during the designated timeframe, while also serving as a valuable resource for individuals seeking to explore this subject in greater depth. The aim of this study is to analyze the key components and occurrences that have significantly contributed to the formation of a robust and mutually advantageous relationship between the involved parties. The Afghans and the people of Transoxiana have historically maintained significant and continuous cultural and social connections. Our relationship with Uzbekistan, a nation that safeguards the historic Transoxiana culture, has transitioned into a new era in the twentieth century.
Heterologia, êxtase, êxodo:
Authors: Bingemer Maria Clara Lucchetti
Published: June 2024

Neste artigo nosso ponto de partida será a teologia que se ocupa da experiência mística em diálogo interdisciplinar com diversas disciplinas, quais sejam, a literatura, a filosofia, a psicanálise e a história. Aqui pretendemos explorar o pensamento de Michel de Certeau e Julia Kristeva para pensar a subjetividade como alteridade e, mais ainda, como estrangeiridade, forasteiridade. Isso que se diz de toda subjetividade será por nós refletido e escrito especialmente sobre a subjetividade mística. A partir da perspectiva da teologia e pela mediação hermenêutica da literatura nas obras de Katherine Mansfield e Ana Cristina César, procuraremos situar essa subjetividade estrangeira como mística e, portanto, como extática e em permanente condição de êxodo. Alguns escritos de Teresa de Avila e Etty Hillesum serão convidados a confirmar o que é dito do êxtase e do êxodo enquanto condições permanentes da subjetividade mística. O pensamento filosófico de Emanuel Levinas e Jean Luc Marion, por fim, nos ajudarão a revelar a necessária visibilização da subjetividade mística configurada enquanto errante, alterada e responsável.
EFFECT OF HEAT TREATMENT ON GLASSES MADE FROM TWO THAI BOTTOM ASHES
Authors: McCuiston Ryan , Nonthathi Wanida , Auechalitanukul Chiraporn
Published: June 2024

Silicate-rich industrial wastes such as bottom ash are attractive for the production of glass products used in construction and other industrial areas. The properties of these glasses can often be improved by converting them to glass-ceramics using controlled heat treatments. The effect of heat treatment on the properties of glasses made from two different bottom ashes was investigated. A lignite bottom ash from Lampang (BL) and a municipal solid waste bottom ash from Phuket (BP) were melted at 1300 to 1500℃ to produce opaque, black glasses, which were then heat treated at 600 or 900℃. For 600℃ is was found that BL and BP glasses remained amorphous but phase separated and saw limited changes to the density, refractive index and Vickers hardness. For 900℃, the BP glass remained amorphous and was heavily deformed, while the BL glass was found to contain augite crystals with a submicron particle size. The melting temperature of the starting BL glass appeared to influence the augite crystallization and resulting properties. The average density (3.18 vs 2.88 g/cm3), refractive index (1.69 vs. 1.64) and Vickers hardness (8.95 vs. 6.29 GPa) of the BL glass-ceramic were significantly increased compared to the BL glass. These findings show the viability of producing glass-ceramics from domestic waste bottom ashes.
DETERMINATION OF OPTIMUM PARAMETERS FOR THE DESIGN OF COMPOSITE SHAFT
Authors: Patel Pinank , Adalja Divya
Published: June 2024

In this research work, emphasis is given to investigate the dynamic properties of a revolving composite shaft. The experimental analysis is used to calculate the Eigen pairs for different modes of vibration of revolving shafts. A Finite Element Method (FEM) prototype is used to articulate the stiffness matrices. The stiffness matrices consider the property of distortion about an axis, the shear distortion on the Eigen trend of the revolving shaft. The perilous speed of the revolving shaft is calculated based on the Campbell diagram. It also helps to identify the volatility areas to attain accuracy and regulate the dynamic performance of the physical system in a resonance state. The effect of laminate constraints like piling orders, fiber direction, boundary conditions, and percentage of fiber volume on the natural rate of recurrence and perilous speed of the shaft is investigated. The results obtained by mathematical analysis and by performing experiments were compared. It is observed that the results obtained by the FEM method and experimental results for the composites shaft are in good agreement with each other.
Analisis Spasial Permukiman Berbasis Sistem Informasi Geografis menggunakan QGIS dan OpenStreetMap
Authors: Surachman Arie
Published: June 2024

Neighborhoods are an important part of a city that affects the quality of life of its residents. To understand the characteristics of settlements and determine development strategies, appropriate and effective spatial analysis is needed. In this research, researchers used a Geographic Information System (GIS) with QGIS software and OpenStreetMap data to spatially analyze settlements in a study area. Analysis methods include grouping settlements based on type, measuring the area and density of settlements, as well as analyzing distance and accessibility to public facilities. The results of the analysis will be used to design policy recommendations and better settlement development in the future. It is hoped that this research can contribute to the understanding of settlements and the application of GIS in spatial analysis.
Analisis Sistem Informasi Berbasis Web pada Manajemen Inventaris Produk Toko Kelontong
Authors: Surachman Arie
Published: June 2024

One of the goals to advance grocery store owners is by developing an inventory management information system for their sales. The purpose of this research is to design a web-based application system for grocery stores. It will be able to help sales and promote products. One of the important features that can be utilized by grocery store owners is the inventory product management feature. In the development of this system, the researcher used the PHP programming language, which is used to build web applications, while the database used is MySQL. The system development methodology used by the researcher is the Waterfall methodology. The Waterfall methodology has several stages, including Analysis, System Design, Implementation, Integration, Operation, and Maintenance. In the data collection process, the researcher used the observation method. The output that will be generated from the development of this system is a web-based product inventory application
Sistem Inventori Berbasis Web Menggunakan Sistem Keamanan OTP pada BPJS Ketenagakerjaan Divisi Kepesertaan Cabang Kebon Sirih
Authors: Wahyuningrum Ratih , Jaka Gana Vincentius Richo
Published: June 2024

Teknologi informasi dan komunikasi kini tidak dapat dipungkiri sebagai media yang memfasilitasi berbagai aktivitas di berbagai perusahaan. Begitu juga dengan BPJS Ketenagakerjaan yang meruapakan perusahaan asuransi yang menyimpan banyak data baik dalam bentuk arsip hardcopy maupun file elektronik, dimana sering terjadi masalah pencatatan data. Tujuan dibangun sistem ini yaitu untuk mempermudah sistem penyimpanan berkas arsip digital sekaligus mengatur penyimpanan stok ATK pada BPJS Ketenagakerjaan, sehingga dapat mengatasi masalah kehilangan data tersebut. Untuk membangun sistem inventori berbasis web ini menggunakan metode penelitian action research dengan pendekatan kualitatif, dengan model pengembangan waterfall. Serta menggunakan bahasa pemrograman PHP, HTML, CSS dan Javascript, serta menggunakan framework Bootstrap 4.0. Hasil penelitian ini adalah sebuah sistem inventori berbasis web yang dapat membantu mempermudah pengguna dalam melakukan arsip digital dan mengatur penyimpanan stok barang serta laporannya.