bluuebunny/crossref_metadata_2025 huggingface dataset:
Board Size, Independent Board Tenure and Number of Board Meetings: Examining the Impact on Spanish Firms
Authors: Fairooz Raisa Nisa  , Shafiq Sadia Binte , Raihan Mohammad Zahir
Published: November 2024

Spanish firms are well reputed for high level of corporate governance practices. Earlier studies have examined Spanish firm performance based on the causal relationship of board characteristics. However, the number of studies which examines the tenure of independent board members and number of board meetings are scares. This study examines Spanish firm performances examining the board characteristics. A balanced a panel data of total 805 listed companies are examined which compiles all economic sectors. Random effect model is applied to examine the causal relationship. The study suggests, board size has a favorable correlation with accounting-based performance (ROA, ROE), but it doesn’t go hand in hand with market-based performance (TQ). Tenure of independent directors have a positive relationship with both accounting and market-based performance. On the other hand, the number of board meetings has a negative acquaintance with both accounting and market-based performance of the firms. This research reveals a board's inefficiencies that lead to poor firm performance, as well as what significant changes could be made to improve it. This study is based on all economic sectors which implies that the results of this study are equality presentative to all. Policymakers, managers, and investors should consider the following implications: a significant positive relationship between board size and board tenure on firm financial performance suggests that institutional investors in emerging markets, particularly Spain, are paying attention to board activities.
The Simplified Method (TSM)
Authors: Abrecht Stefan
Published: November 2024

The EU regulations on Ecodesign and Labelling 811-814 apply to space heaters, water heaters and solar devices. They have been under revision since 2017. The revision should make it easier to calculate the efficiency of solar thermal systems and determine it more correctly. In addition, the improved overall efficiency in connection with the primary energy-consuming heat generators should be made more visible to the consumer. A group of experts under the leadership of the European solar thermal association Solar Heat Europe (SHE/ESTIF) developed a comprehensively valid and simple method for assessing solar thermal systems in accordance with EU regulations. The Gross Thermal Yield (GTY) known from the Solar Keymark certification is used as the sole and standardized solar assessment basis to calculate the new assessment parameter "Solar Device Efficiency". In the system calculation, it is equal to the efficiency of a primary energy consuming heat generator, be it a boiler, a heat pump or an electric heating element, and, simply multiplied by the efficiency of the respective heat generator, gives the resulting efficiency of a solar hybrid or solar assisted package. With the new calculation method, it will be possible to achieve the highest class A for water heating and an improvement of up to 2 classes in combination with a heat generator for space heating with normally dimensioned solar systems within the planned reintroduction of the original label classes A-F. This paper reflects the current status of the drafts [1] and [2] of the regulations. The designations, symbols and indices used below are provisional. They are based on the correction proposals of Solar Heat Europe, as the current draft of the EU Commission is still inconsistent and partly incorrect with regard to the nomenclature.
TURKISH VALIDITY AND RELIABILITY STUDY OF THE PATIENT PARTICIPATION SCALE
Authors: Bilgin Aylin , Kovancı Mustafa Sabri , Öcalan Sinem
Published: November 2024

Objective: The aim of this study is to establish the Turkish validity and reliability of the Patient Participation Scale.
Method: This methodological study was conducted with 214 patients receiving outpatient or inpatient treatment in Turkey. Personal Information Form and Patient Participation Scale were used to collect the research data. Language equivalence, content validity and construct validity were performed to determine the validity of this scale. Within the scope of reliability analysis, Cronbach's alpha value and split-half reliability analysis were used to assess consistency.
Results: The content validity index score of this scale was determined as 1.0. The Barlett Sphericity Tests value was (2260.928, p<0.00) and the Kaiser-Meyer-Olkin (KMO) value was 0.86 and the data set of the scale was found to be suitable for factor analysis. The Cronbach's Alpha coefficient of the scale was found to be 0.90. As a result of the analysis, the Guttman Equivalent Halves Coefficient was calculated as 0.91 and the Spearman-Brown Correlation Coefficient was calculated as 0.92 and it was concluded that the reliability of the scale was at an acceptable level.
Conclusion: The study was concluded that the Turkish form of the Patient Participation Scale is a valid and reliable measurement tool for evaluating the process of participation in the care process in patients receiving outpatient or inpatient treatment.
EFFECT OF TRAINING AND REMINDER SHORT MESSAGES ON THE FATIGUE LEVEL OF INDIVIDUALS WITH COPD: A RANDOMIZED CONTROLLED STUDY
Authors: Ceyhan Yasemin
Published: November 2024

Objective: The study aimed to determine the effect of education and reminder short messages on fatigue levels in individuals with Chronic Obstructive Pulmonary Disease (COPD).
Method: Randomized controlled experimental study (ClinicalTrials.gov: NCT06286072). The study was conducted with 105 patients hospitalized with the diagnosis of COPD between December 15, 2023, and May 15, 2024. The patients were randomized into three groups, 35 in each group. The first group was assigned as the education+message group, the second group as the education group, and the third group as the control group (routine treatment and care). The education content consisted of COPD and fatigue management. The education was completed in three days. Messages included reminders of the education content and motivational sentences. Questionnaires were applied to all patients at baseline and the end of 8 weeks to determine their personal information, degree of dyspnea, general COPD status, and fatigue level.
Results: In intragroup comparisons, dyspnea and fatigue levels decreased significantly and the general COPD status improved in the education+message group (p<0.001). In the education group, dyspnea severity decreased (p=0.014) and the general COPD status improved (p=0.013). There was no significant difference in the control group. There were significant differences (p<0.05) in intergroup comparisons and the strongest effect was in the education +message, education, and control groups (d1>d2>d3).
Conclusion: Education and 8-week short message intervention in patients with COPD effectively reduced dyspnea severity and fatigue and improved the general COPD status. Education alone was not successful in alleviating fatigue in the long term. Therefore, post-discharge patient follow-up should be taken into consideration.
EVALUATION OF THE EFFECTS OF ER-YAG LASER WITH A DIGITAL SCANNING TIP ON DEBONDING OF CERAMIC BRACKETS VS. THE CONVENTIONAL METHOD
Authors: Dursun Derya , Ersöz Mustafa , İleri Zehra , Usumez Aslihan
Published: November 2024

Objective: The aim of this study was to evaluate the effect of the Erbium-doped Yttrium Aluminum Garnet (Er-YAG) laser with a digital and homogeneous scanning (X-Runner) tip on the debonding process of ceramic brackets, comparing with conventional methods.
Method: 80 extracted teeth were divided equally into four groups regarding the bracket material and the debonding procedure: Polycrystalline+ Laser (PL), Monocrystalline+ Laser (ML), Polycrystalline+ Conventional (PC) and Monocrystalline+ Conventional (MC). Enamel cracks were examined both before and after debonding and the remaining adhesive on the enamel surface was evaluated by using the adhesive reminant index (ARI) with the aid of a stereomicroscope. Additionally, the effect of the Er-YAG laser on pulpal temperature rise and the extent of penetration of Er- YAG laser beams into the adhesive were measured. The nonparametric Kruskal-Wallis statistical test was employed to evaluate remaining adhesive on the tooth surface and enamel cracks, while the Mann-Whitney statistical test was utilized to assess temperature rise.
Results: No significant differences in enamel cracks or fractures were observed between the experimental groups concerning both bracket material and debonding procedure (p>0.05). Significant differences were found in ARI scores and pulpal temperature changes between the ML and PL groups. (p<0.05) Additionally, SEM images revealed that the Er: YAG laser beam did not significantly penetrate the adhesive and had no impact on the enamel surface.
Conclusion: The Er:YAG laser, especially when used with the X-Runner head, provides precise control and minimal thermal impact, ensuring no damage to the enamel or pulp. Therefore, it can be safely utilized for the removal of ceramic brackets in clinical settings.
ANALYSIS OF THE EXISTING SOILS IN THE ROOTSTOCK PLANTATION AND IN THE VINE PLANTATIONS SUPPLYING THE SHOOTS OR CANES IN THE DRĂGĂŞANI VINEYARD
Authors: Gorjan Sergiu-Ștefan , Truşcă Ion Bogdan , Popescu Raluca Iuliana
Published: November 2024

The study was carried out in the years 2023-2024 at SCDVV Drăgăşani, in the plantation of „SO4-4” rootstocks and in the vine plantations supplying the shoots or canes of the „Victoria”, „Alutus”, „Vilarom” and „Crâmpoşie Aromată” grape cultivars. These grape cultivars are considered varieties of certain value, they were created at the Drăgăşani Viticulture and Winemaking Research-Development Station. The object of study of this paper is the soil cover, researched in its maintenance with the other geographical factors in order to establish the agro-productive capacity of the plantations, to highlight the main negative attributes and the ameliorative measures. The study followed the contents of phosphorus, potassium and nitric nitrogen, in three repetitions, the soil samples being taken from the depths of 0-20 cm, 20-40 cm, 40-60 cm from the lower, middle and upper slopes of the plantations, in order to the fertilization corresponding to the fertilizing of the soil from the plantation of SO4-4 rootstocks and from the vine plantations providing of the shoots or canes necessary for the improvement of the production technologies of the viticultural propagation material in the current context of climate change. The samples taken from these plantations were analyzed at OJSPA Râmnicul Vâlcea, Romania.
WOODEN MATERIALS USED IN LANDSCAPE APPLICATION IN CRAIOVA CITY
Authors: Marius Marius , Făniță Georgeta , Tudoran Alina
Published: November 2024

During the history, wood materials have become an indispensable material for human life. (Amati M. 2016). Wood is a material compatible with nature, compatible with other building materials such stone, glasses, offering different texture. (Ahern J. 2007). Wood is one of the materials with best respond to the functions of urban green spaces. First of all, it integrates best, from an aesthetic point of view, alongside stone in urban landscaping projects. (Aybike Ayfer KARADAĞ et al. 2017).Since wood is a natural product, its dimension is limited in that its fibrous structural capacity to bear weight varies according to the fiber direction. Despite its widespread use, it had not been used in multi-storey and wide-span structures to the extent of reinforced concrete and steel structures commonly built after the industrial revolution. (Daniel K, Ternaux E. Materiology. 2009)
ORGANIC APPLE CULTIVATION IN THE EUROPEAN UNION – A CURRENT SITUATION OF CULTIVATED AREAS
Authors: Popescu Cosmin , Cosmulescu Sina Niculina
Published: November 2024

Apple cultivation is one of the most important, both worldwide and in Europe. This paper aims to analyze the literature and identify current trends in Europe with regard to organic apple cultivation. Data analysis shows an upward trend in cultivated areas, highlighting a growing consumer interest in organic apples, which are produced in a sustainable and environmentally friendly way. Among the countries that grow organic apples, France stands out for an area between 25.65% and 28.76% of the total areas dedicated to this crop in the European Union, while Romania ranks sixth, with approximately 3,883.67 hectares cultivated. Key factors contributing to the development of organic apple cultivation include support policies from the European Union, market demand, and favourable climatic and geographical conditions.
VITICULTURE AND WINEMAKING TECHNOLOGY FOR HIGH-QUALITY WINES AT SCDVV BUJORU
Authors: Stoica Marius Florin , Tudor Mihai , Râpeanu Gabriela , Ciubucă Aurel , Tăbăranu Gabriel
Published: November 2024

This study focuses on technological interventions in order to reduce the sulfites addition in white wine production by using carbonic ice and nitrogen. The proposed winemaking technology include temperature-controlled fermentation of grapes must and further temperature-controlled storage of white wine, compared to classic techniques without temperature control.The results revealed that by using technological interventions with carbonic ice and nitrogen protection the resulted wines are improved from chemical and sensorial point of view.
MICROBIOLOGICAL ANALYSIS OF SOME VEGETABLE SPECIES COMMERCIALIZED ON LOCAL AND SUPERMARKET MARKETS
Authors: Tuțulescu Felicia , Ionica Mira Elena
Published: November 2024

Fruits and vegetables are an important part of the human diet, providing essential vitamins, minerals and fiber and adding variety to the diet. In the Food Guide Pyramid, the US Department of Agriculture encourages eating 3-5 servings of vegetables and 2-4 servings of fruit per day (León J.S, 2009). The present study aims at microbiological analysis of frequently consumed vegetables. It was found that the highest loading was on cucumbers and lettuce and the lowest on peppers and tomatoes. Refrigerated storage for 7 days resulted in an increase in the number of microorganisms
Lo natural y lo cultural en el hombre: Rousseau vs. Aristóteles
Authors: Poole Diego Benedicto
Published: November 2024

La sensibilidad medioambiental ha reforzado la antítesis clásica roussoniana entre naturaleza y cultura, marginando al hombre hasta el desprecio. Por otra parte, la “perspectiva de género” y un transhumanismo como el del filósofo israelí Yuval N. Harari con su Homo Deus, asumen el planteamiento existencialista del hombre como causa sui, demiurgo que diseña su esencia con omnímoda libertad. De este modo, la naturaleza se deshumaniza y el hombre se desnaturaliza, desafiando la idea clásica de naturaleza como motor y horizonte de plenitud impreso en los seres; una tradición donde el hombre no es un ser contra, ni siquiera ante la naturaleza, sino el ser más natural de universo. Después de unas consideraciones previas introductorias, nuestra exposición sigue este orden: primero, haremos unas precisiones conceptuales sobre el sentido de lo natural en el hombre; en segundo lugar, recordaremos la visión roussoniana de la naturaleza humana, que consideramos todavía dominante en la cultura occidental; en tercer lugar, reflexionaremos sobre la dimensión naturalmente social de la existencia humana, y en cuarto lugar, expondremos la razones de Aristóteles que impugnan por completo la idea roussoniana que contrapone naturaleza y cultura, y que demuestran que precisamente el hombre como ser cultural es al mismo tiempo el ser más natural del universo.
The Somali Transnational Collaborative Project (STCP) Capacity Building (CB) Through Social Work Education
Authors: Bokore Nimo , Caabi Mukhtaar , Moscovitch Allan , Rahimpour Mitra , Awad Eriny , Ragheb Myrna
Published: November 2024

Social work as a profession has the tools necessary to support and bring together not just communities but nations due to its ability to recognize and meet the needs of the people.  The profession is relatively new to African countries, including Somaliland, with many of its current-day theories being borrowed from the West. We began our collaborative project in mid-2000, believing that social work in Somaliland can foster growth and nationwide capacity building. The project included the development of a Bachelor of Social Work (BSW) program that began in 2008 and a Master of Social Work (MSW) currently in the works. In addition to developing these programs, we have been conducting qualitative research and short surveys since 2020, focusing on the role of social work in Somaliland, the employment prospects for graduates and the benefits of indigenizing the education and expanding it to the MSW level.  Our findings show the contribution of social work education and practice in addressing the specific issues related to poverty, religion, gender-related issues, disability rights, and caring for children or older adults and the need for a graduate level to address issues such as mental health and policy development. We also found that social work education and practice, despite the region's economic challenges and as a new and previously unknown discipline based on Western knowledge, contributed to the overall well-being and capacity building of the people in the area.
Regional food system sustainability: Using team science to develop an indicator-based assessment framework
Authors: Wiltshire Serge , Beckage Brian , Callahan Chris , Chase Lisa , Conner David , Darby Heather , Kolodinsky Jane , Kraft Jana , Neher Deborah , Poleman Walter , Ricketts Taylor , Tobin Daniel , von Wettberg Eric , Niles Meredith
Published: November 2024

Food system sustainability, and ways of measuring it, are widely explored and discussed in academic literature. Measurement efforts are challenging because food systems are inherently complex and multifaceted, spanning diverse components, indus­tries, sectors, and scales. Several systems of indica­tors and metrics have been proposed to measure sustainability; however, most existing research focuses either on narrow scales (e.g., farm level or within a single supply chain), expansive scales that can gloss over complexity (e.g., national or global assessments), or limited scopes (e.g., only consider­ing environmental factors). A gap in the literature is a holistic local or regional approach to food sys­tem sustainability that integrates components across the system at a regional scale. In this reflec­tive essay, we describe our development of a framework to measure and track sustainability in such systems. We use a tiered framework that includes five sustainability dimensions and a system of indices, indicators, and metrics that allows for the measurement of important food system charac­teristics in a feasible and reproducible way. We employ a collaborative, transdisciplinary, facilitated team science process to first propose, and then refine, a sustainability assessment framework, using the U.S. state of Vermont as a case study. This paper details our process and progress, as well as reflections on challenges and recommendations for other team scientists. We further propose a plan to implement the framework, collect data, and engage with community members. The experiences and findings described here serve as a foundation for our own team’s continued work, as well as a springboard for other similar research efforts.
Las claves de la reforma del Derecho civil navarro en materia de prescripción extintiva y caducidad
Authors: Arcos Vieira Maria Luisa
Published: November 2024

El Derecho navarro de la prescripción ha experimentado una reforma de profundo calado a consecuencia de la Ley Foral 21/2019, de 4 de abril. Los cambios introducidos son numerosos y relevantes, si bien no siempre acertados y, en algunos aspectos, insuficientes; pero, en su conjunto, apuntan a un nuevo equilibrio de intereses entre el titular de la acción y el sujeto frente a quien se pretende hacer valer, que cabe inscribir en la línea de la evolución experimentada en diversos sistemas jurídicos de nuestro entorno.
La permanencia del viudo en la vivienda habitual tras el fallecimiento del cónyuge propietario
Authors: Corripio Gil Delgado María Reyes
Published: November 2024

En el contexto de las sociedades longevas se advierte la necesidad de introducir nuevos mecanismos legales para permitirle al viudo/a quedarse en la vivienda habitual propiedad del consorte si fuere posible y con preferencia a los herederos. Dados los limitados derechos sucesorios que el Código civil da al supérstite cuando concurre a la herencia con legitimarios, este objetivo no está garantizado por lo que el viudo/a podría verse abocado a abandonar la casa si no hubiese sido mejorado en testamento con título idóneo. Analizamos la importancia de las soluciones testamentarias como el usufructo universal o las titularidades fiduciarias en favor del cónyuge y las propuestas doctrinales realizadas de lege ferenda en la línea de fortalecer la posición vidual respecto a la herencia del consorte en general y a la vivienda habitual en particular.
Todos hablan, pero pocos saben. Los alimentos y su distribución a debate
Authors: Rodríguez Cachón Teresa
Published: November 2024

Mucho se ha hablado en los últimos tiempos sobre los alimentos y su distribución. Pero poco se ha hecho con precisión económica y legal suficiente como para plantear medidas realmente capaces de mejorar el funcionamiento de este sector, mejora que redunde en beneficio, tanto de los propios operadores (especialmente, de los productores primarios), como de los consumidores.En el presente trabajo trato de explicar ciertos aspectos nucleares de los alimentos –en su consideración de bienes de consumo–, de su distribución y de la interrelación entre todos los operadores implicados hasta que son puestos a disposición del consumidor final. Todo ello es abordado desde puntos de vista contable, económico, matemático y jurídico, con la finalidad de refutar algunos de los lugares comunes más habituales sobre este sector. Con el mismo objetivo, en la última parte del trabajo analizo algunas de las medidas más recientes adoptadas en España destinadas a la mejora de la cadena alimentaria.Ninguna medida económica es inocua. Tampoco la economía es siempre un juego de suma cero. A partir de estas premisas, toda sociedad ha de asumir que la vida en comunidad implica una pugna entre múltiples intereses que, por lo general, son igualmente merecedores de protección y, en muchas ocasiones, contrapuestos.
Studi komparatif Implementasi Supervisi Pendidikan di Sekolah Dasar pada Wilayah Perkotaan dan Perdesaan
Authors: Siswanto Siswanto , Waruwu Marinu , Halida Halida , Enawaty Eny
Published: November 2024

Penelitian ini bertujuan untuk membandingkan implementasi supervisi pendidikan di sekolah dasar yang berada di daerah perkotaan dan perdesaan di Kalimantan Barat. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei, di mana data dikumpulkan dari 20 sekolah, 10 di daerah perkotaan (kota kabupaten) dan 10 di daerah pedesaan (dusun). Pengumpulan data dilakukan melalui kuesioner yang diisi oleh kepala sekolah dan guru, serta wawancara mendalam untuk menggali lebih lanjut pengalaman mereka dalam pelaksanaan supervisi pendidikan. Hasil penelitian menunjukkan bahwa terdapat perbedaan signifikan dalam pelaksanaan supervisi pendidikan antara sekolah di daerah perkotaan dan perdesaan. Sekolah di perkotaan umumnya memiliki akses yang lebih baik terhadap sumber daya supervisi dan pelatihan bagi kepala sekolah dan guru, sedangkan di daerah perdesaan, kendala geografis dan minimnya akses terhadap teknologi memperlambat efektivitas supervisi. Namun, ditemukan juga bahwa hubungan antara kepala sekolah dan guru di sekolah pedesaan cenderung lebih dekat, yang dapat memperkuat aspek supervisi informal. Kesimpulannya, meskipun terdapat tantangan dalam pelaksanaan supervisi di kedua konteks, sekolah di daerah perkotaan lebih unggul dalam hal akses dan dukungan profesional, sedangkan sekolah di daerah pedesaan menunjukkan keunggulan dalam interaksi sosial dan kedekatan antara pengawas dan guru.
Dinámicas y volatilidades de los rendimientos cambiarios asiáticos, 2020-2024
Authors: Ruiz Porras Antonio , Suárez Espinosa Huentli Yolotli
Published: November 2024

Se estudiaron las dinámicas y volatilidades de seis series derendimientos cambiarios asiáticos durante y después de la pandemia de COVID-19. El estudio emplea siete modelos ARCH/GARCH, diversos supuestos estadísticos y tres criterios de bondad de ajuste. Los hallazgos indican que los modelos más adecuados para describir las series de rendimientos cambiarios, son: 1) el FIEGARCH(1,1,1) para los rendimientos de China, Indonesia y Japón; 2) el FIGARCH(1,1) para Malasia; 3) el GARCH(1,1) para Hong Kong; y 4) el PARCH(1,1,1) para Taiwán. Las seis series de tipos de cambio utilizadas incluyen datos diarios desde el 2 de enero de 2020 hasta el 15 de febrero de 2024.
Preface: 3rd International Conference on Electronic Commerce and Risk Management (ECRM 2024)
Authors: Raymond Geraldine , Kang Limin
Published: November 2024

The 2024 3rd International Conference on Electronic Commerce and Risk Management (ECRM 2024) is a great opportunity to meet old and new friends again for future research collaborations in the fields of electronic commerce, economics studies, international trade, finance and investment, capital market, and risk management.
ECRM 2024 was successfully held in Philadelphia, USA during November 02-03, 2024. It also provides a venue and many opportunities to meet and network with colleagues from this broad field, share personal experiences, and learn from others. Economic theory suggests foreign investment, through a range of microeconomic and macroeconomic channels, can deliver productivity and national income gains comparable with those stemming from international trade. Questions also arise about whether short term capital flows can be destabilizing for economies via foreign exchange, bond, and equity markets.
This conference will provide delegates with a good opportunity to exchange new ideas, establish research and/or business contacts, and establish potential partnerships for global partnerships. We sincerely hope that this conference will help to increase knowledge in relevant scientific and academic fields.
The Committees of ECRM 2024
Philadelphia, USA
The Impact of Managerial Characteristics on the Effectiveness of Internal Control in Enterprises
Authors: Cao Wenjie
Published: November 2024

Since the enactment of the Sarbanes-Oxley Act, internal control has gained increasing attention, highlighting its growing importance. However, in China, there remains room for improvement in the design, maintenance, and execution of internal control within enterprises. As key figures responsible for internal control, senior managers possess various internal and external characteristics that may influence its effectiveness. This study uses data from 200 randomly selected A-share listed companies on the Shanghai and Shenzhen stock exchanges in 2021. With Excel and SPSS, it analyzes the impact of different managerial characteristics on the effectiveness of corporate internal control. Findings reveal a positive correlation between characteristics like managers’ age, education level, and compensation, and the effectiveness of internal control, while gender shows no significant effect on control quality. Based on these results, recommendations are offered to guide the appointment of managers and the execution of internal control, providing valuable insights for enterprises.
Analysis of the success factors of Leipzig as a location
Authors: Zhang Yiwen
Published: November 2024

There are many Chinese enterprises in the city of Leipzig. This article uses SWOT-analysis to analyse the success factors of Leipzig as a site for Chinese enterprises. Among them, the example of Mingzhi Group, a machinery manufacturing company, was further analysed and concluded that geographical location, development history, infrastructure, as well as the number of residents and the labor market are important factors affecting the site selection of Chinese enterprises in Leipzig.
Study on import trade effect of six economic corridors on provinces along China
Authors: Yin Jing
Published: November 2024

The construction of the six economic corridors is an important pillar of the "Belt and Road" initiative. This paper collected the panel data of 30 provinces and cities in China from 2005 to 2022, and constructed a differential differential model to study the trade effect of the construction of the six  economic corridors on the imports of provinces along the country. The results show that: on the whole, the construction of the six economic corridors has indeed played a role in promoting the import scale of the provinces along the line; Secondly, there is regional heterogeneity in this effect. The import driving effect of the economic corridor mainly depends on the trade promotion effect of the economic corridor on the central region, followed by the eastern region, and the contribution degree of the western region is the lowest. In addition, the level of regional economic development, industrial structure, and scientific research are important factors to promote the development of regional trade in China. In the future, the in-depth construction of high-level development of economic corridors needs to pay more attention to these factors to promote coordinated development. At the end of this paper, countermeasures are proposed to speed up the construction of economic corridors, which is also conducive to the hierarchical and focused work to promote China's trade promotion, so that provinces along the country can use the "six economic corridors" to achieve a new pattern of opening u.
The Impact of Multiple Institutions on Supply Chain Resilience: A Configurational Analysis Based on FsQCA
Authors: Geng Yuan
Published: November 2024

In the context of the globalization of the digital economy, supply and demand are increasing, exerting considerable strain on supply chains and necessitating enhanced supply chain resilience. Nevertheless, most current research emphasizes individual institutions' influence on supply chain resilience, neglecting the interplay among various institutional elements. This research utilizes pertinent indicators from Chinese provinces between 2014 and 2024, employing a two-dimensional framework that includes formal and informal institutions. It applies fuzzy-set qualitative comparative analysis (FsQCA) to examine the configurational conditions necessary for high supply chain resilience from a configurational viewpoint. The findings indicate: (1) four configurations contribute to elevated supply chain resilience: facility-led, facility-institution dual-drive, and facility-society-alliance-public joint-drive; (2) Investment in facilities is an essential prerequisite for achieving high supply chain resilience. The findings identify the institutional factors contributing to elevated supply network resilience, with the objective of offering recommendations for provinces to augment supply chain efficiency and bolster their capacity to manage emergencies.
Analysis of the Impact of Import and Export Trade on the Innovation Ability of Chinese Industrial Enterprises
Authors: Li Wenbo , Li Lingzhi
Published: November 2024

In recent years, the process of economic globalization and industrial globalization has been accelerating. In order to consolidate their competitiveness in the international market, countries have deployed and implemented innovative development strategies. At present, although China has become a major industrial and manufacturing country in the world, and the only country in the world with all industrial categories, compared with the advanced level in the world, it still needs to strengthen independent innovation, improve the scientific and technological content and informatization level, improve the level of industrial structure, and promote high-quality economic development. With China's accession to the World Trade Organization, it continues to "go out and introduce", pushing Chinese manufacturing to the world, and also continuously bringing high-quality foreign resources and advanced technology into China. At present, a large number of scholars have also studied the innovation capabilities of enterprises and high-tech industries, but the selection criteria are not the same. This article is based on the innovation capability evaluation system proposed by the Ministry of Science and Technology of China, combined with the entropy weight method, and weights 10 secondary indicators selected from the evaluation system to calculate the comprehensive score of high-tech industry innovation capability for each province from 2010 to 2019. Select import and export trade as the core explanatory variable to study the impact of import and export trade on China's high-tech industry innovation capacity, and propose policy recommendations for this.
Research on insured risk of insurance companies based on TOPSIS comprehensive evaluation model and regression analysis
Authors: Bao Huichun , Tong Zhaoyi , Zhou Yinuo
Published: November 2024

Extreme weather events due to climate change are one of the most significant risks facing the world today, and while insurers can help society share the resulting losses, for example through premium pricing, the industry is also facing increasing challenges. To address the issue of meeting the needs of insurers for long-term health in the face of current challenges, we have developed a risk assessment model and a profitability model for insurers, with a focus on the U.S. East Coast. In the risk assessment model we are based on entropy weighting method to find the weight of TOPSIS superiority and inferiority of the solution distance method to derive the score of each evaluation object, and ultimately obtain the low-risk, medium-risk, high-risk intervals are [0,0.014]; [0.014,0.055]; [0.055,0.386]. The profit function was built using multiple regression in the profitability model: , and to draw the final conclusion: when an insurer is in a medium-low risk area, or a high-risk area but with a profit value greater than 0, the insurer can write in that area and take on a certain amount of risk. This conclusion will help insurers make better insurance choices in light of the current risk challenges and will benefit the long-term health of the insurance industry.
Research on the correlation between CSI 300 stock index futures and spot
Authors: Wang Yiqun
Published: November 2024

This paper mainly focuses on the correlation between China's stock index futures and spot markets, and the selected products are CSI 300 stock index futures and spot. This paper takes CSI 300 as the research object, and based on the daily data from 2010 to date, uses the E-G cointegration test method and the error correction model method to verify the existence of a long-term equilibrium relationship between the period and the spot market, as well as the repair mechanism when the short-term deviation from equilibrium occurs. The results show that there is a long-term equilibrium relationship between stock index futures and the spot market, and there is a repair mechanism when the short-term deviation from equilibrium occurs. As the policy range moves forward, the signal role of the futures market in pricing gradually increases, and more investors begin to refer to the futures market trend to make decisions in the spot market.
Cooperative SLAM Algorithm for Multi-AUV Underwater Exploration and Mapping
Authors: Wu Rongren
Published: November 2024

SLAM (Simultaneous Localisation and Mapping) is very important in the task of mapping unknown deep-sea environments. This paper proposes an AUV cluster SLAM algorithm to improve the efficiency of SLAM mapping and navigation. The algorithm includes three main parts: (1) multi-beam sonar image processing algorithm, which detects and eliminates dynamic points while removing redundant information. (2) Combining DVL (Doppler Velocity Log), IMU (Inertial Measurement Unit) and DM (Depth Meter) data, SLAM is performed based on a Rao-Blackwellised particle filter (RBPF ). (3) The innovative iUSBL (inverted ultra-short baseline) system is used to realise the cooperative positioning between the master and slave AUVs. The multi-AUV underwater detection and mapping collaborative SLAM algorithm proposed in this paper not only significantly improves the mapping efficiency in unknown deep-sea environments but also effectively suppresses the errors introduced by dynamic points and ensures stable SLAM performance. Compared with a single AUV, the efficiency of mapping is significantly improved.
Cloud Computing and Big Data: The Path of Convergent Growth
Authors: Ma Yuewen
Published: November 2024

In the contemporary era, the advancement of science and technology is proceeding at a rapid pace, accompanied by corresponding evolution and innovation in information technology. Technologies such as cloud computing and big data have witnessed corresponding developments. Therefore, this paper explores the convergence and development of cloud computing and big data. This paper presents a summary of the advantages and applications of the combination of cloud computing and big data based on literature reviews and data searches. It also identifies the challenges faced in this convergence. The study of the concepts and roles of cloud computing and big data revealed the existence of security problems related to information and data, including malicious attacks aimed at stealing information resources. In response, solutions were proposed, including the construction of firewalls and the establishment of public opinion monitoring. This technology has significant potential for future development and the capacity to drive social progress.
Analysis of Current Bipedal Robots by Comparative Method
Authors: He Zixuan
Published: November 2024

Concerning the rapid development in the bipedal robot industry, its hard for researchers to figure out their current merits and demerits, making it more difficult to make progress, especially for those who newly step into the robot industry. This paper aims at comparing the most established and creative breakthroughs in bipedal robots to help researchers get a general view of it, simultaneously proposing some thoughts on bipedal robots about how the future utilization of bipedal robots can be.
Credit Default Prediction Based on Random Forest
Authors: Xiang Siyu , Yan Haowen
Published: November 2024

Abstract. To help the lender to make reasonable prediction judgments on the lender in advance, to get the most appropriate way of lending amount, as well as facing the risk of a reasonable response program and the ability to cope with the need to make predictions in advance before lending for personal credit risk. This paper aims to predict credit default based on random forest, logistic regression and decision tree algorithms, by comparing and analyzing the advantages and disadvantages of these algorithms, this paper finally chooses the random forest algorithm. This paper concludes that in predicting the risk of credit default, the three characteristics of Credit amount, Duration and Job have the most significant influence in predicting the risk value of the borrower, Credit amount is the most important factor that affects the risk value, Duration is also a key factor, a more relaxed repayment period will reduce the pressure of repayment, and thus reduce the risk of default. Job, different occupations, different incomes and different income stability will lead to different repayment abilities of each borrower, according to the repayment ability and the loan amount of the comparison, you can initially arrive at the corresponding risk value and the development of the corresponding risk control strategy.
Research on Auto Regressive Integrated Moving Average model in predicting the rise and fall of stocks
Authors: Liu Xinyi
Published: November 2024

Abstract. The development of the stock market has been characterised by a lack of dynamism, particularly in the context of an economic slowdown, policy adjustments and global uncertainties. As a result, corporate earnings have declined, stock demand has decreased, stock prices have fallen and investors are uncertain about the future. The following article aims to demonstrate the construction of an autoregressive integrated moving average (ARIMA) model using the Python programming language, the utilization of the CSI 300 index data from 2012 to 2022 sourced from the Kaggle website, the prediction of its fluctuations, the generation of a line graph, and a comparison with the actual trend. In the final stage of the analysis, four diagnostic graphs will be deployed to ascertain the suitability of the model. The results show that the ARIMA model effectively forecasts stock trends, with the predicted upward and downward trends following 2022 largely aligning with the actual trends and overlapping the two lines. Investors can use this model to determine the best investment direction and reduce the risk of failure.
Predicting Vehicle Prices Using Machine Learning: A Case Study with Linear Regression
Authors: He Jiahao
Published: November 2024

Abstract: With the development of electronic vehicles, accurately predicting the price of vehicles is essential for both consumers and business. Thus, this study aims to explore the application of machine learning in vehicle price prediction, specifically focusing on the use of linear regression, a widely adopted technique in this domain. Utilizing a comprehensive dataset containing variables such as make, model, year, and mileage, the research develops a predictive model through rigorous data cleaning, feature engineering, and model tuning processes. The models performance will be analyzed by R-squared value and Mean Squared Error(MSE). The models predicting result will be visualized by scatter plot. The study also addresses potential biases and applies regularization techniques to enhance the models accuracy. Additionally, a comparative analysis with a Decision Tree model evaluates the relative performance and nuances of each approach. This research not only underscores the practical value of predictive modeling in the automotive industry but also offers insights into integrating more advanced machine learning techniques to further improve prediction accuracy. Additionally, in this research, the drawbacks of linear regression model will be indicated and the future works to improve the performance of the model will be provided.
Research on Comparison of Security Protocols for RFID Systems
Authors: An Zheng
Published: November 2024

Abstract: As the adoption of Radio Frequency Identification (RFID) technology continues to expand, concerns about its security have grown in significance. And the study of RFID security protocols aims to enhance system security and to provide solutions that can be applied to a variety of scenarios. Therefore, this paper delves into the security protocols employed in RFID technology, investigating their applications across a range of domains such as logistics tracking, financial payments, and access control systems. Besides, through a combination of literature review and comparative analysis, the study provides an in-depth exploration of the working principles, strengths, weaknesses, and suitable use cases of protocols based on cryptography, challenge-response, and time-based mechanisms. The results indicate that cryptography-based protocols perform well in high-security environments such as financial payments, albeit with high computational complexity. Challenge-response-based protocols enhance authentication in access control systems, while time-based protocols successfully mitigate replay attacks through timestamping mechanisms, making them ideal for intelligent transportation systems. In short, each security protocol presents distinctive strengths, and the selection or integration of these protocols should be tailored to specific application scenarios to create more secure and reliable RFID systems.
Multi-Agent System Anti-Interference Algorithm Based on Deep Reinforcement Learning
Authors: Zhang Fangbo , Zhang Yongkang , Zhao Yongqing , Hou Jiahui
Published: November 2024

As multi-agent systems are increasingly applied in various environments, achieving stable control under communication interference has become a key challenge. This paper proposes a stability control algorithm based on a Markov model and reinforcement learning, which enables the multi-agent system to achieve its goals through a reward and punishment mechanism under interference. The results demonstrate that the algorithm effectively handles communication interference, converges well, and ultimately completes control tasks, showing promising application prospects for the proposed solution.
Diversified Research and Analysis of Machine Translation Models and the Development Prospects of Translation for Less-Commonly Spoken Language
Authors: Lan Zijun
Published: November 2024

This paper begins by addressing issues in machine translation, reviewing the current state of research on translation problems, and summarizing various mainstream machine translation models. It also analyzes the structural characteristics and advantages of each model. Based on the current research landscape, mainstream machine translation models generally underperform in scenarios involving less-commonly spoken languages. Therefore, future research needs to focus on breakthroughs in such scenarios. Preliminary findings from recent studies indicate that advanced techniques such as data augmentation, reinforcement learning, and transfer learning have significantly contributed to addressing these issues. Future research could integrate these theoretical approaches to further enhance the quality of machine translation.
AI-Driven Optimization of Rare Disease Drug Supply Chains: Enhancing Efficiency and Accessibility in the US Healthcare System
Authors: Ma Xiaowen , Lu Tianyu , Jin Guanting
Published: November 2024

This paper presents a new AI-driven framework for optimizing rare disease drug use in US healthcare. The proposed system is integrated with machine learning, blockchain, and IoT technologies to solve the unique problems of rare diseases and drug distribution. A comprehensive program has been developed, including a multi-layered AI model for demand forecasting, inventory optimization, and intelligent routing. The system uses different data and a pre-defined algorithm to improve the accuracy of the prediction. A new multi-agent support learning method is used for decision-making in networked devices. The framework's implementation strategy includes the deployment phase, starting with pilot research and progressing to full deployment. Collaboration with key stakeholders and compliance with regulatory requirements are clearly defined. Performance evaluation and methods are described, focusing on the quantitative and qualitative assessment of supply chain performance and patient outcomes. Preliminary tests show that product costs are reduced by 20-30%, product processing time is reduced by 15-25%, and 40-60% reduction in drug shortages. The proposed system promises significant improvements in access to rare drugs, supply chain optimization, and efficiency, which will lead to potential increased R&D investment in orphan drugs and inform healthcare policy decisions.