bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS LAPORAN KEUANGAN MENGGUNAKAN METODE LIQUIDITY RATIO DAN PROFITABILITY RATIO PT PERUSAHAAN GAS NEGARA TBK PERIODE 2020-2021
Authors: Indriaty Novica
Published: March 2024

The purpose of this study is to examine the financial statements of PT Perusahaan Gas Negara Tbk using the Liquidity Ratio and Profitability Ratio methods for the 2020-2021 period. These methods are used to assess a company's financial performance in terms of liquidity, capital structure, profitability and operational efficiency. The data for this study were collected from the financial statements of PT Perusahaan Gas Negara Tbk for two years. This research is classified as a qualitative descriptive research. The findings show that PT Perusahaan Gas Negara Tbk has experienced increases in various ratios of liquidity, profitability and operational efficiency during the 2020-2021 period. The company's liquidity is getting better as evidenced by the increase in the Current Ratio, Acid Test Ratio, and Cash Ratio. In addition, the company's capital structure has also improved as indicated by a decrease in the Debt Ratio and Debt Equity Ratio. Profitability has also improved, with ROE, ROA, GPM, NPM and EPS all showing improvements. In addition, the company's operational efficiency has also increased as indicated by an increase in asset ratios and inventory turnover. In short, PT Perusahaan Gas Negara Tbk shows an increase in financial performance during the 2020-2021 period. This research provides valuable insights into the areas of liquidity, profitability, and operational efficiency for companies. The results of this analysis can be used by company management to make the right decisions regarding the management of the company's financial resources and to further improve its financial performance in the future
ANALISIS KREDIT BERMASALAH PT BANK RAKYAT INDONESIA (PERSERO) TBK DI MASA PANDEMI COVID 19
Authors: Munaf Tommy , Mahfuddin Rohmat
Published: March 2024

This research was conducted at PT. Bank Rakyat Indonesia (Persero) Tbk. The purpose of this study was to identify and analyze non-performing loans at PT Bank Rakyat Indonesia (Persero) Tbk during the Covid 19 pandemic. This study aims to identify and analyze (1) the number of non-performing loans at PT Bank Rakyat Indonesia during the Covid 19 pandemic, (2) What policies did PT Bank Rakyat Indonesia implement in efforts to settle problem loans during the Covid 19 pandemic. The research method used is descriptive qualitative method. The type of data used is secondary data obtained from the financial statements of PT. Bank Rakyat Indonesia (Persero) Tbk in 2020-2021. The data analysis technique used is descriptive analysis technique. Based on the results of calculating the number of non-performing loans using the Non-Performing Loan ratio, the results show that PT. Bank Rakyat Indonesia (Persero) Tbk during the Covid 19 pandemic experienced an increase. The policy taken by PT Bank Rakyat Indonesia (Persero) Tbk in an effort to recover problem loans during the Covid 19 pandemic was by restructuring, especially in the UMKM segment.
PENGARUH KINERJA KEUANGAN TERHADAP PERTUMBUHAN LABA PADA PERUSAHAAN PROPERTY DAN REAL ESTATE YANG TERDAFTAR DI BEI PERIODE 2019-2021
Authors: Saputra Novi Chandra , Sary Nurul Despurnama
Published: March 2024

This study aims to determine the effect of financial performance on profit growth. This study has a sample of 15 companies that have been determined by the sample selection technique. The method used in this research is a quantitative research method. The object of research is the property and real estate sector companies listed on the Indonesia Stock Exchange for the 2019-2021 period. Data collection is done in 2 ways, namely documentation and literature study. The tool used to test panel data estimation model selection, best model selection test, panel data regression and hypothesis testing is the Statistical Program For Social Science (SPSS) version 29. The results of this study indicate that the current ratio, debt to asset ratio, and total asset turnover has no effect on the profit growth of Property and Real Estate companies listed on the IDX for the 2019-2021 period. It can be concluded that the effect of the current ratio, debt to asset ratio, and total asset turnover listed on the IDX for the 2019-2021 period is 0.6%, while the remaining 99.4% is influenced by other variables not included in this study, including company size , Company Age, Past Sales Rate and Change
Successful prevention of organic solvent induced disorders: history and lessons
Authors: Albin Maria , Johanson Gunnar , Hogstedt Christer
Published: March 2024

In this discussion paper, we describe the history of the science and societal action resulting in the mitigation of neurotoxic disorders from exposure to organic solvents at the workplaces in Sweden. When alkyd paints were introduced in large scale in construction painting in the 1960s and 1970s, Scandinavian unions voiced increasing concern as members reported symptoms like headache and vertigo, supported by participatory studies and case studies. Although acute and chronic neurotoxic effects were established for some specific solvents such as carbon disulphide, this was not the case for those used in the new paints. Union advocacy promoted formal epidemiological studies, providing increasing evidence for chronic neurotoxicity at levels far below current occupational exposure levels. The results were widely disseminated and accepted and led to concerted action with preventive measures, most importantly substitution of the organic solvents in paints for indoor use, but also drastic reductions in occupational exposure limits. The findings also resulted in funding of further research on solvent toxicity and the establishment of expert groups to advice authorities on occupational standards for exposure to chemicals. The substitution strategy was subsequently adopted in many other countries and occupational exposure limits were lowered, although several years or even decades later.

While the societal context in Sweden was unique in many ways, we conclude that there are lessons to be learned from this preventive success when addressing current challenges.
Rationale for Living Donor Organ Transplantation
Authors:   Professor of Surgery, State University of New York, USA., Gruessner Rainer WG
Published: March 2024

The use of Living Donors (LDs) for the purpose of solid organ transplantation has raised many questions and concerns from the very infancy of this field and have continued over time. These include ethical, medical, psychosocial, cultural, financial, racial, and other aspects. The obvious questions are
Navigating Essential Components of Advertisements amidst Information Overload: Formulating Effective Strategies for the Development of Captivating Advertising Campaigns
Authors: Dr. Munawwer Husain T. Shyam Swaroop, Dr. Ankit Garg, , Dr. Sanghamitra Das, Harshit Singhal Shresth Kumar, Dr. Ritesh Kumar Singhal,
Published: March 2024

The days of marketers thinking that just getting a product in front of customers would be enough to promote sales are long gone. Before, the creation of an advertisement was seen as the end of product marketing, and the sale of a product was seen as incomplete in the absence of such promotional activities. Although putting these claims in a research abstract runs the danger of seeming biased and leading to hasty judgements about a hypothesis before enough information is obtained, these claims have strong evidence behind them. Advertisers used to love being in the spotlight. On the other hand, content is widely available in the internet era. Content suppliers swarm various social media platforms with lively and customer-satisfied evaluations about locations, goods, services, and user experiences. Today's consumers actively seek for information in a changing world. When they come across something, customers look for reviews and comments online as quickly as possible. Can advertising still make a significant difference in the minds of customers in a world when information is freely available? This study adds to our knowledge of contemporary Indian consumer behaviour by indicating that the influence of marketing is confined to particular products and services. The conversation demonstrates that consumers still place a higher value on the advantages they receive from purchases, and that this influence is mostly felt at the media level.
Intrahour Direct Normal Irradiance Forecasting Based on Sky Image Processing and Time-Series Analysis
Authors: Karout Youssef , Thil Stéphane , Eynard Julien , Guillot Emmanuel , Grieu Stéphane
Published: March 2024

The present paper exhibits a hybrid model for intrahour forecasting of direct normal irradiance (DNI). It combines a knowledge-based model, which is used for clear-sky DNI forecasting from DNI measurements, with a machine-learning-based model, that evaluates the impact of atmospheric disturbances on the solar resource, through the processing of high dynamic range sky images provided by a ground-based camera. The performance of the hybrid model is compared with that of two machine learning models based on past DNI observations only. The results highlight the pertinence of combining knowledge-based models with data-driven models, and of integrating sky-imaging data in the DNI forecasting process.
Parts of this paper were published as journal articleKarout, Y.; Thil, S.; Eynard, J.; Guillot, E.; Grieu, S. Hybrid intrahour DNI forecast model based on DNI measurements and sky-imaging data. Solar Energy. 2023, 249, 541-558. https://doi.org/10.1016/j.solener.2022.11.032
Understanding the micro-world of particle-to-particle interactions
Authors: Senetakis Kostas
Published: March 2024

Contact modeling of particle-to-particle interactions has its own value in the simulation process and the understanding of macroscopic phenomena such as sand dunes, landslides, vibrating granular systems and other problems involving powders and grains. However, the real contact problem of particle interactions, let it be natural crystalline grains or amorphous glass beads, has been highly overlooked by means of experimentation. In this seminar, we will look into this contact problem and specifically on the way particles interact with each other and with their surrounding environment through an experimental approach. We will discuss on the influence of stress history, rate of loading and creep, and predominantly we will see pairs of particles within a general context of Coulomb friction. It will also be attempted to link micro- and macroscopic observations from experimental results on granular systems.
Pengaruh Kemampuan Manajerial Branch Manager Dan Kesempatan Pengembangan Karir Terhadap Peningkatan Kinerja Pegawai Pelaksana Dalam Pencapaian Target Bisnis
Authors: Yusdiana Fatria , Kurniawan Asep
Published: March 2024

Penelitian ini bertujuan untuk menginvestigasi pengaruh kemampuan manajerial Branch Manager dan kesempatan pengembangan karir terhadap peningkatan kinerja pegawai pelaksana dalam mencapai target bisnis. Studi ini dilakukan dengan mengumpulkan data dari responden yang terdiri dari pegawai pelaksana di berbagai cabang bisnis. Pengumpulan data dilakukan melalui kuesioner yang menilai kemampuan manajerial Branch Manager, kesempatan pengembangan karir, dan kinerja pegawai pelaksana. Analisis data dilakukan menggunakan metode statistik untuk mengidentifikasi hubungan antara variabel-variabel tersebut. Hasil penelitian ini diharapkan dapat memberikan wawasan baru terkait faktor-faktor yang memengaruhi peningkatan kinerja pegawai pelaksana dan memberikan rekomendasi bagi perusahaan dalam meningkatkan manajemen cabang dan pengembangan karir guna mencapai target bisnis yang optimal.
A Rare Complication of Percutaneous Endoscopic Gastrostomy Tube Placement: Early Buried Bumper Syndrome (BBS)
Authors: Ismail Yasrab , Bughio Sanobar
Published: March 2024

Early Buried Bumper Syndrome (BBS) is a rare complication of Percutaneous Endoscopic Gastrostomy (PEG) tube placement where the internal bolster gets “buried” in the gastrocutaneous fistulous tract. BBS is usually a late complication. We present a case of early BBS, in Radiology Department of Dr Ziauddin Hospital, Karachi. Patient presented with fever and oozing from the side of PEG tube. CT scan abdomen findings revealed, the bumper of the percutaneous endoscopic gastrostomy tube retracted in subcutaneous fat just adjacent to the gastric wall and seen in the left sided rectus sheath outside the gastric lumen. Contrast was given through the peg during the procedure which show no extravasation of contrast in adjacent soft tissues. These findings consistent with early buried bumper syndrome.
Labour resources in the late 1940s: the history of failed reform
Authors: Захаровский Л.В. , Микушина М.М.
Published: March 2024

Проблема «текучести» индустриальных кадров в конце 1940-х гг. имеет существенное значение для изучения выбора пути развития послевоенного советского общества, поэтому ее  отдельные аспекты неоднократно привлекали внимание исследователей. Цель настоящей статьи – исследовать два варианта предложений по решению проблемы текучести кадров, исходивших от Министерства трудовых резервов СССР и Госплана. С  использованием сравнительно-исторического и  системного методов определены различия в подходах к ее решению, показано, что судьба проектов в значительной степени определялась тенденциями ситуативной борьбы в  советском руководстве. Результаты исследования могут быть полезны в процессе изучения истории (в том числе истории профессионального образования) второй половины 1940-х гг

The problem of  “turnover» of  industrial personnel in  the late 1940s is  essential for studying the choice of  the path of  development of  postwar Soviet society, so  its individual aspects have repeatedly attracted the attention of researchers. The purpose of this article is to investigate two variants of proposals to solve the problem of personnel turnover (originating from the USSR Ministry of Labour Reserves and Gosplan). Using comparative-historical and systemic methods, the differences in  some approaches to  its solution are identified, and it  is shown that the fate of  the projects was largely determined by the tendencies of situational struggle in the Soviet leadership. The results of  the study may be  useful in  the process of  studying history (including the history of vocational education) of the second half of the 1940s.
The Relationship Between Industry Concentration and the Level of Operating Segment Disclosure: The Moderating Effect of Audit Quality
Authors: Elhoshy Mohamed Mahmoud Salem , Elhennawy Elsayed Mahmoud Elsayed , Zaytoun Mohamed Khamis Juma
Published: March 2024

This study aimed to examine the relationship between the degree of industry concentration which the company belongs and the level of operating segment disclosure. The study also aimed to test the impact of audit quality on the previous relationship, using a sample of 40 non-financial companies listed on the Egyptian stock exchange for five-year period 2016-2020.Using regression analysis, the results of the study showed a low level of operating segment disclosure in Egyptian companies in general. The results of the study also showed that there is a significant negative relationship between the degree of industry concentration and the level of operating segment disclosure. While the results showed an insignificant negative effect of audit quality on the relationship between the degree of industry concentration and the level of disclosure of the operating segments. The previous results were supported by robustness tests conducted by including additional control variables that include the board of directors’ characteristics, as well as using an alternative measure to measure the degree of industry concentration.
A review of synthesis strategies for nickel cobaltite-based composites in supercapacitor applications
Authors: Tarpoudi Baheri Yalda , Homayounfard Amir Mahdi
Published: March 2024

Supercapacitors (SCs), known for their exceptional power and reasonably high energy densities, long lifespan, and lower production costs, have emerged as an ideal solution to meet the growing demand for various energy storage applications. The characteristics of supercapacitors are greatly influenced utilizing the choice of electrode materials, developing novel electrode materials a focal point for extensive research in the field of high-performance supercapacitors. In recent years, NiCo2O4 has garnered increasing attention as a supercapacitor electrode material owing to its notable edges, including high theoretical capacity, low cost, abundant availability, and ease of synthesizing. However, the performance of NiCo2O4 is hindered by its low electrical conductivity and limited surface area, leading to significant capacity deterioration. Therefore, it is imperative to systematically and comprehensively summarize the advancements in comprehending and adjusting NiCo2O4-based electrodes from multiple perspectives. The present review primarily focuses on the synthetic approaches employed to produce NiCo2O4 nanomaterials with diverse morphologies for their application in supercapacitors. This review article provides a comprehensive overview of the synthesis approaches utilized for developing nickel cobaltite-based composites tailored for supercapacitor applications. Various synthesis methods, including sol-gel, hydrothermal, and co-precipitation techniques, are discussed in detail, emphasizing the importance of optimizing synthesis parameters to enhance the electrochemical performance of the composites. The potential applications of nickel cobaltite-based composites in supercapacitors are explored, highlighting their promising prospects in energy storage technologies. Future research directions in this field are also discussed.
Stability of bocaiuva (Acrocomia spp.) mass candy stored in different packages
Authors: THEODORO Ângela Christina Conte , DONADON Juliana Rodrigues , GUASQUES Maria Luiza Brambilla , MIYAGUSKU Luciana , POTT Arnildo , GALVANI Fábio , GUIMARÃES Rita de Cássia Avellaneda , BOGO Danielle , NASCIMENTO Valter Aragão do , HIANE Priscila Aiko
Published: March 2024

Bocaiuva (Acrocomia spp.) is a fruit native to areas of Cerrado and Pantanal that stands out for its nutritional value, presence of bioactive substances, and high pulp yield. The aim of this study was to develop a mass candy of bocaiuva, characterize it physicochemically, quantify the retention of bioactive substances, evaluate the physicochemical and microbiological stability and sensorial acceptance for up to 120 days, and verify the effect of different types of packages and storage time on the developed product quality. The prepared mass candy was stored in plastic packages of terephthalate polyethene that were transparent and metallized. We have characterized its centesimal composition and microbiological and sensorial stability, evaluating its color, moisture, pH, soluble solids, titrable acidity, retention of ascorbic acid, carotenoids, total phenolics, and antioxidant capacity. The results indicated that the bocaiuva mass candy stays stable for physicochemical, microbiological, and sensory parameters over storage and that the metallized polyethene terephthalate package best conserves the bioactive substances.
Effect of different extraction methods on yield and quality of araticum (Annona crassiflora Mart.) seed oil
Authors: BRAGA Lucas Pereira , AMORIM Katiúcia Alves , GOULART Gilberto Alessandre Soares , ASQUIERI Eduardo Ramirez , DAMIANI Clarissa
Published: March 2024

Microwave- and ultrasound-assisted extraction methods can increase the yield and quality of oil extraction. This study investigated their effects on araticum seed oil extraction compared with conventional methods. Oils were extracted using press and Soxhlet techniques, combined with microwave- and ultrasound-assisted methods at different times. Key parameters such as yield, acidity index, peroxide index, iodine index, moisture, saponification index, ether-insoluble impurities, antioxidant activity by DPPH and ABTS methods, and fatty acid profile were evaluated. The highest oil yield (24.22%) was achieved by combining the press with Soxhlet. Based on EC50 values, antioxidant activities ranged from 1.06 ± 0.10 to 5.19 ± 0.39 mg/mL and 2.26 ± 0.33 to 10.43 ± 0.28 µM trolox/g for DPPH and ABTS, respectively. The ultrasound-assisted method showcased superior antioxidant activity. Predominant fatty acids included oleic, linoleic, palmitic, and stearic acids. Extractions by ultrasound-assisted press at 15 and 30 min showed enhanced antioxidant potency and reduced peroxide and acidity indices. The extraction method affected the characteristics of the oil, and changes in the fatty acid profile were observed. Non-heating methods yielded more unsaturated acids but with low extraction yield.
Impacto emocional dos acidentes de trânsito em crianças: uma revisão sistemática
Authors: Isquierdo Yasmin Robe , Lisboa Camila Patricia Rauber , Camboin Franciele Foschiera , Goes Eliane Pinto de , Lima Moisés Alves de , Andrade Maryanna de
Published: March 2024

Objetivo: Buscar sistematicamente na literatura estudos que evidenciem o impacto emocional em crianças vítimas de acidentes de trânsito. Método: Trata-se de uma Revisão Sistemática da literatura, sem limitação de período de publicação e idioma, protocolada através do guideline PROSPERO. Utilizou-se as bases de dados PubMed, Scopus, Web of Science, LILACS, Embase, CINAHL, PsycINFO (APA) e na literature cinzenta no Google Scholar e Open Gray. Resultados: As principais sequelas emocionais apresentadas pelos estudos incluídos foram de revivência, evitação/inibição, hiperexcitação, ansiedade, depressão infantil, pensamento intrusivo, deficit no aprendizado e distúrbios no sono. A intensidade destes agravos estava associada a idade, personalidade, gravidade e local da lesão, a origem, o meio familiar e o cuidado familiar. Conclusão: A intervenção psicológica imediata ou realizada de maneira precoce é responsável por garantir o melhor prognóstico possível para crianças vítimas de acidentes de trânsito, com idade entre 0 e 14 anos completos e que apresentaram impacto emocional. Além disso, destaca-se a importância de políticas públicas protetivas que pevinam os acidentes de trânsito.
A situação e os desafios da mulher na medicina veterinária no estado de Minas Gerais
Authors: Pereira Gabriella Moura , Bertonha Candice Mara , Ferreira Joana Zafalon , Hirata Karina Yukie
Published: March 2024

A desigualdade entre gêneros é problema mundial e na Medicina Veterinária o número de mulheres está em ascensão, mas ainda ocorre discriminação sexual, mesmo que informalmente. Sendo assim, objetivou-se analisar a situação e os desafios de graduadas ou graduandas em Medicina Veterinária, residentes em Minas Gerais. Foram obtidas 257 respostas válidas, revelando que quase metade das respondentes sofreu algum tipo de discriminação durante a graduação, que apenas 23,3% possuem cargo de chefia e que 41,2% já perderam oportunidade de emprego pelo fato de serem mulheres. Os assédios moral e sexual ocorreram respectivamente em 45,5% e 28,8% das mulheres durante a graduação. O conhecimento técnico foi julgado ou menosprezado em decorrência do gênero em 73,2% das respostas e 73,5% das respondentes acreditam que os desafios são maiores para as mulheres do que para os homens na Medicina Veterinária. Concluiu-se que mesmo em evolução, os desafios enfrentados pela mulher na Medicina Veterinária no estado de Minas Gerais ainda são relevantes, sendo de extrema importância a discussão e reflexão desses temas para que cada vez mais seja possível superar os desafios, promovendo o empoderamento feminino.
Integrating Artificial Intelligence in Interior Design Education: Concept Development
Authors: Kahraman Mehmet Uğur , Şekerci Yaren , Develier Müge , Koyuncu Ferhat
Published: March 2024

This article aims to explore the integration of artificial intelligence (AI) as a design tool in interior design education. The research examines the students' interior design studio project outcomes over the usage of AI in creating conceptual images, and the implementation of the AI-created concept to the overall space. In the research, students' projects are divided into two groups of 5 according to sufficient or insufficient prompts for the "AI generated" conceptual images. Barnard's (1992) CAIDC (Consensual Assessment of Interior Design Creativity) scale was used for the assessment. Mann-Whitney U Test was conducted for the results. We understand that there is no significant difference between writing sufficient or insufficient prompts in the concept development phase of interior design projects according to the Barnard (1992)’s design merits. It has been confirmed that the main factor that influences this regard is the need for an appropriate "concept analysis" to adapt the concept generated with AI to the specified project spaces.
Redefining Architecture Through Posthuman Principles: Bridging Cybernetic Concepts and XR Technologies
Authors: Karabağlı Kaan , Kuran Ipek
Published: March 2024

The integration of cybernetic principles into architectural discourse has led to a profound transformation in the conceptualization of architectural entities. Cybernetics redefines architecture as a dynamic and responsive entity, capable of communication, interaction, and adaptation. This paradigm shift is exemplified by the Fun Palace project, which envisioned architecture as a living organism dynamically responding to its environment. Marcos Novak's concept of liquid architecture further elucidates this transformative paradigm, emphasizing architecture's fluid adaptability in digital realms.
Realizing these transformative qualities requires architecture's integration into digital space. Extended Reality (XR) technologies serve as a conduit for this integration, enabling architects to transcend traditional limitations and reshape spatial environments. Through a rigorous inquiry into the convergence of cybernetic principles and XR technologies, this research redefines architecture in the digital age. Two workshops serve as case studies, demonstrating the transformative potential of this symbiotic relationship.
In conclusion, this research sheds light on the symbiotic relationship between cybernetic principles, XR technologies, and architectural design, offering insights into transformative possibilities. By redefining architecture in the digital age, this study paves the way for a new era of architectural innovation, where creativity transcends boundaries, and the built environment becomes a dynamic expression of human imagination.
Financial Performance Analysis of PT A Based on Liquidity Ratio
Authors: Dithisari Indri , Hartika Lia
Published: March 2024

The research objective is to determine the financial performance of PT A from 2018 to 2022 in terms of the liquidity ratio. The type of data used in writing this final project report is quantitative data using secondary data, namely the financial position report from 2018 to 2022. The results of this study indicate that the financial performance of PT A is said to be in bad financial condition because the average liquidity ratio results are below industry standards. It can be concluded that PT A is an illiquid company and has an unfavorable financial condition.
Management Accounting Improvement in Packaged Beverage Entities
Authors: Hartika Lia , Dithisari Indri
Published: March 2024

Management accounting practices must be embedded and running in a corporate entity or organization. Management accounting can provide actual information that affects the decision-making process of a company manager. One of the implementations is the concept of management in entities in the packaged beverage industry. The process of handling customers must continue to be carried out because the customers have several characteristics, such as loyalty, behavior, habits, and perceptions of a product. At the same time, the company must apply ideas to the company's production activities and be able to analyze the social, economic, and environmental impacts of these activities. So in this study, the production service sector that the author has chosen is packaged beverage industry because, since the COVID-19 pandemic, beverage producer companies have changed their business methods, namely through online ordering applications or package systems. This habit has not changed after the COVID-19 pandemic. Online sales of packaged beverages are still often carried out by the public. There is a change in economic behavior in the community, and it has a direct impact on the business model and product sales of the packaged beverage manufacturer. Based on this background, the authors will conduct research, namely to determine what variables will affect this business so that packaged drinks continue to be favored by the community so as to grow economic potential and job opportunities for the community.
ЭКСПЕРИМЕНТАЛЬНОЕ ИССЛЕДОВАНИЕ ЗАКОНОМЕРНОСТЕЙ СВ-СИНТЕЗА НИКЕЛИДА ТИТАНА ИЗ ПРЕДВАРИТЕЛЬНО МЕХАНОАКТИВИРОВАННОЙ ПОРОШКОВОЙ СМЕСИ
Authors: Шкода О.А. , Лапшин О.В. , Пахнутова Н.В. , Зелепугин А.С.
Published: March 2024

В работе исследовались закономерности самораспространяющегся высокотемпературного синтеза никелида титана с использованием предварительной механической активации порошковой смеси. Проанализированы режимы механической активации в различных средах. Получены зависимости характеристик послойного горения от условий предварительной механической активации.
EFFECT OF TEMPERATURES ON FLAME PROPAGATION OF DIETHYL ETHER SPRAY EXPLOSION
Authors: Zang X. , Wang H. , Wu F. , Pan X. , Hua M. , Jiang J. , Shen R.
Published: March 2024

The study aims to identify the flame propagation characteristics in the diethyl ether (DEE) spray explosion. Different ambient and material temperatures' effect on flame propagation and structure was investigated in a 20-L explosion vessel. Greyscale histograms are obtained from the high-speed images to distinguish the combustion and explosion zones. With the ambient temperature increased, the combustion duration showed a trend of first decreasing, then increasing, and then decreasing again. The combustion zone first increased and then decreased. The explosion duration showed an overall decreasing trend. The explosion duration was longer than the combustion duration, ranging from 152.75 to 307 ms. When the ambient temperature was 308.15 K, the combustion duration reached its minimum value of 13.25 ms, and the equivalent radius of the combustion zone reached its maximum value of 52.89 mm. With the increase in material temperature, both the combustion and explosion durations showed a trend of first decreasing and then increasing, with combustion durations ranging from 12.42 to 16.25 ms and explosion durations ranging from 106 to 117.5 ms, respectively. The difference in the equivalent radius of the combustion zone under different material temperatures was slight, and the influence of material temperature on the development of the combustion zone was relatively small. When the material temperature was 308.15 K, th combustion zone expansion rate reached its maximum value of 10.20 m/s, and the explosion zone expansion rate reached its maximum value of 13.36 m/s. The flame instability and flame propagation velocity in the explosion zone were both greater than in the combustion zone.
Research on the Prediction of Boston House Price Based on Linear Regression, Random Rorest, Xgboost and SVM Models
Authors: Chen Yihan
Published: March 2024

Regression problems, which make up a significant portion of machine learning research, include the Boston housing price forecast problem. Regression problems are a subset of artificial intelligence. Regression problem-solving algorithms that are more frequently used four different machine learning models—the linear regression model, the Random Forest model based on an integrated learning technique, the XGBoost model, and the SVM model—are utilized for training and testing in this study. These models were chosen based on the real-world Boston house price prediction problem. From various angles, the effectiveness of the various algorithmic models on the regression problem of house price prediction was evaluated, and it was determined that among the many algorithmic models. For this problem, the best model is XGBoost Regression and the worst model was the SVM model. The most typical benefit of the XGBoost model is that It can capture complex non-linear relationships between variables.The disadvantage of the SVM model is its computational complexity.
Research on the Impact of Digital Financial Inclusion on Residents' Consumption Level: Analysis Based on Intermediary Effect Model
Authors: Liu Jialei , Niu Ziru , Dai Wendi
Published: March 2024

This paper selects panel data of 31 provinces and cities in China from 2011 - 2020, constructs an intermediary effect model with income gap as the intermediary variable, and studies the impact and mechanism of digital inclusive finance on residents' consumption level. It is found that digital inclusive finance can significantly promote residents' consumption level. The intermediary effect stepwise regression model shows that digital inclusive finance has a significant contribution to the income gap, which further promotes the increase of residents' consumption level. Heterogeneity analyses show that digital inclusive finance has a more significant effect on promoting the consumption level of residents in the eastern and western regions.
Battery Technology-Based Strategic Decisions of Electric Vehicle Firms-The Case of Tesla
Authors: Qiao Xinyuan
Published: March 2024

Comprehensive support for the electric vehicle industry promotes the development of electrical energy, and R&D in battery technology drives the exploitation of new materials for the planet. Government-enterprise collaboration effectively improves the user experience to ameliorate global warming. This paper elaborates current development status of Tesla based on battery technology (Lithium-Ion Battery), and the latest battery technology (Lithium-Iron phosphate) R&D program. In particular, it reveals whether Tesla follows the theory of strategic market management, its specific strategic decision, sustainability impact on the market, and the trend of the electric vehicle industry.
Endowment Effect: From the Perspective of Employees’ Loyalty, Perceived Value and Used Car Pricing
Authors: Xing Bochang
Published: March 2024

The "endowment effect," a central cognitive bias in behavioral economics, represents individuals' tendency to assign a higher value to items they own compared to identical or similar items they don't possess. This research paper presents a comprehensive exploration of this effect and its diverse applications in three significant areas: bolstering employee loyalty, understanding the moderating role of emotional states in the perceived value of goods, and discerning pricing mechanisms in the secondhand car market. By leveraging the endowment effect, businesses can enhance employee loyalty and develop more effective pricing strategies in secondhand markets. Inherent in these applications is the opportunity to capitalize on inherent cognitive biases to optimize outcomes across different economic activities. Furthermore, understanding the interaction between emotional states, particularly positive emotions, and the endowment effect provides insights into consumer behavior, influencing their perceived value and purchasing intentions. The interplay between the endowment effect and emotional states offers a nuanced understanding of the multifaceted nature of consumer behavior. Thus, this research underscores the far-reaching implications of the endowment effect, highlighting its pervasive influence in our economic decision-making processes.
Enhancing Neural Network with Particle Swarm: A House Price Prediction Case
Authors: Liang Yaotong
Published: March 2024

This study delves into the utilization of the Particle Swarm Optimization (PSO) algorithm to discover the best parameters of Long Short-Term Memory (LSTM) model with the aim of housing price prediction. Employing the Ames Housing dataset, our investigation underscores the remarkable efficacy of PSO in mitigating prediction errors within the LSTM framework, thereby enhancing overall predictive performance. The symbiotic integration of PSO with LSTM facilitates the discernment of intricate data patterns, particularly in scenarios involving high-dimensional and nonlinear optimization conundrums. The findings illuminate PSO's ability to expediently traverse and identify global optima. The outcomes unequivocally underscore the PSO-LSTM model's superior attributes, characterized by accelerated convergence, diminished errors, and exceptional proficiency. In summation, this investigation underscores PSO's promise as a potent technique for optimizing machine learning models, notably exemplified by its integration with the LSTM framework.
Stock Price Anomalies Analysis and Detection Based on Machine Learning
Authors: Xia Tiancheng , Chen Zhidao
Published: March 2024

Through long years of development in the financial industry, more people and investments have been immersed here. However, the highly volatile stock market often presents investors with significant surprises. Therefore, identifying anomalies within stock prices in a timely manner is a widely-discussed problem, successfully detecting anomalies can help investors avoid loss, even gaining profit in some cases. In this essay, the performances of the Autoencoder and Light Gradient Boosting Machine are compared in predicting anomalies, employing supervised learning and unsupervised learning respectively. For Autoencoder, we construct layers and use a target loss to make decisions. As for the Light Gradient Boosting Machine, we split the original data into a test set and training set and trained the model. To assign labels, a statistical approach is employed to pre-test the data for normality. From an overall picture, a threshold of 4 achieves the best accuracy performance, proving that the number around four would be a good choice while detecting the strange turning trend in stock price.
Classification and Prediction of Bank Marketing Activity by Machine Learning
Authors: Zhao Sibo
Published: March 2024

As the competition in the financial industry intensifies, the customer experience has become the key to whether the financial institutions can continue to develop. As the traditional banking services are difficult to meet the needs of customers, more and more people begin to choose to trade through self-service channels or online banking. With the popularity of mobile devices, people are increasingly dependent on mobile banking and mobile payment. Banks analyze the customer behavior data to realize the effective interaction between customers and banks, which has become a hot issue in the financial industry. From the perspective of machine learning, this paper will analyze the ability of a bank customer to buy products, mainly including customer purchasing power analysis, product classification, customer stratification and other aspects. On this basis, this paper will use the decision tree algorithm to segment the customers with different purchasing power, so as to achieve precision marketing.
Enhancing Stock Price Prediction Method Based on CNN-LSTM hybrid model
Authors: Ding Yuqi
Published: March 2024

Stock price prediction means using the previous data to predict future trend. With the development of deep learning technologies in artificial intelligence area, many works try to use single CNN or single LSTM to make prediction. However, both these two models have their own weakness and strengths. In this paper, we try to make a CNN-LSTM hybrid model to achieve a better performance on stock price prediction. It proposes that the CNN-LSTM hybrid model predicts stock prices using RMSE to measure higher accuracy than a single CNN and a single LSTM model. The experiment shows a great ability on generalization and provide reliable results, which can apply to other stocks to make prediction and give suggestions on investing strategy. The CNN-LSTM model can play the respective advantages of CNN and LSTM model to improve the accuracy of stock price prediction and has better performance in both short-term prediction and long-term trend.
Analysis of the influence of resident income level on national happiness index
Authors: Zhang Ruohan
Published: March 2024

National Happiness Index (GNH), as an indicator to measure the overall happiness level of a country, has been paid more and more attention in policy making and social research. In this context, the income level of residents, as one of the important factors affecting national happiness, has aroused extensive research interest. This paper aims to explore the relationship between individual income level and national happiness index, and analyze the complexity behind this relationship.
The Impact of Financial Indicators on Different Types of Investors
Authors: Heng Zhongyu
Published: March 2024

This article begins by delineating the historical trends in stock prices exhibited by three focal companies. A thorough analysis of these stock price trends ensues, accompanied by an elucidation of various investor profiles. Following this, an evaluation of market responsiveness, debt management efficiency, profitability, and prospective developmental trends is conducted through the computation of diverse financial ratios and indicators. A detailed examination of market responsiveness, debt management efficiency, and profitability enables us to attain a deeper comprehension of the financial robustness of these companies. Concurrently, an exploration of their future development trajectories allows us to prognosticate their prospects within the competitive market landscape. This information is of paramount importance for prospective investors, as it can aid them in making judicious investment choices and formulating personalized investment strategies. Ultimately, drawing upon the comprehensive analysis, tailored recommendations are devised for potential investors. These recommendations are meticulously tailored to the specific characteristics of each company, providing invaluable guidance for the strategic orientation and investment decisions of astute investors.
How Can East Asia Culture Tradition Foster a Rapidly Growing Economy
Authors: Li Jilin
Published: March 2024

The important influence of culture on economy lies not only in its direct influence on the behavior pattern of economic individuals, but also in its influence on the performance of official systems. Culture is the foundation of official systems and one of the basic conditions for their success. Confucianism originated in China and gradually spread to Japan, the Korean Peninsula and Vietnam. Over the course of thousands of years, it has perfected itself and expanded its influence across a vast area of East and Southeast Asia, forming the cultures and traditions of those regions. The rapid and unprecedented economic success of East Asia, including South Korea, has led scholars to tend to study East Asian economic development from a cultural perspective, recognizing that economically successful East Asian countries are all influenced by a common culture of Confucianism. Taking South Korea as an example, this paper selects two characteristics of East Asian culture, big government and emphasis on education, and analyzes that East Asian culture and values not only adapt to modern economy, but also foster a rapid economic growth.
Research on the Impact of Sources of Government Expenditure on Social Economy
Authors: Xing Xinyu , Lesnick Joy
Published: March 2024

In reality, a government funds its own expenditure mainly by taxation, borrowings, and fees and charges. Additional sources of government revenue include seigniorage, natural resource revenues, and foreign aid and grants. The specific mix of revenue sources and their relative importance varies from one government to another based on factors such as the country’s economic structure, tax policies, natural resources, and external financial assistance. Suppose a government ends taxing and funds its own expenditure purely by borrowings. In that case, it may lead to an inefficient market, a turbulent economy, social and economic inequality, and reduced social productivity and welfare.
Portfolio Based on AR Model Using 5 Stocks
Authors: Gao Jiayi
Published: March 2024

An investment portfolio is a collection of stocks, bonds, and financial derivatives held by investors or financial institutions, aimed at diversifying risks and maximizing returns. This article selects stocks of Manulife, BOA, Apple, PLC, and National Pharmaceutical Group from October 21, 2022 to August 9, 2023. This article uses AR model, minimum variance model, and maximum Sharpe's ratio model to predict stock prices, and establishes investment portfolios based on the predicted values. Firstly, based on the first 75% of the data, this article predicts the last 25% of the data. Secondly, based on the prediction, the minimum variance model and the maximum Sharpe ratio model are applied and compared with SP500 within the same time frame. However, the results indicate that the SP500 index performs best in terms of yield. This study suggests that purchasing market index funds is an important investment decision for investors during the volatile US dollar interest rate hike cycle.
An ARIMA-based study of pricing and replenishment decisions for vegetable commodities
Authors: Wang Zhiyue
Published: March 2024

Fresh produce superstores face many challenges as an important part of the livelihood industry. The short freshness period and variable quality make their daily sales efficiency crucial. A simple, efficient and applicable decision model for supermarkets is beneficial to further promote the healthy and sustainable development of the fresh food market and the overall livelihood industry. In order to predict the daily replenishment and pricing strategy of each vegetable category in the coming week, the key lies in analyzing the supermarket's historical data. Since the sales volume shows strong cyclical fluctuations, the time series model ARIMA is chosen for this purpose to observe the model training and predict the pricing of different categories of products in the next 7 days. Due to the cost-plus pricing mechanism of the superstore, after processing the data, we selected simple linear regression model, multiple linear regression model and nonlinear regression model to fit the data, and opted for multiple linear regression to get the sales volume on the cost-plus pricing of the fitting formula, taking into account the discount rate of the different types of vegetables, we corrected the sales volume of the six types of vegetables, and ultimately obtained the superstore's daily replenishment and pricing strategy for the next seven days.
Los resultados de aprendizaje: un proceso de autoevaluación y mejora continua
Authors: Castillo Orjuela Nancy Isabel
Published: March 2024

La Profesora Nancy Castillo nos proporciona una valiosa perspectiva sobre los resultados de aprendizaje en el contexto del decreto 1330 de 2019 del Ministerio de Educación Nacional. A medida que la comunidad educativa se involucra cada vez más en discusiones sobre la implementación y medición de estos resultados, la pregunta inicial que surge es: ¿Qué exactamente representan los resultados de aprendizaje?