bluuebunny/crossref_metadata_2025 huggingface dataset:
Using financial modeling to trade-off between financial strategies
Authors: Mohammad Majeed Mohsen , Thajil Karar Muhsin
Published: September 2023

This research aims to examine the trade-off between strategies to cope with financial failure because Iraqi banks suffer from a high level of risk. Some of these banks work more with return on investment compared to risk-free return, while others are able to achieve a higher return for the same period. In this situation, there is a need for a trade-off between the elected strategies as expressed in the following research question: How can financial strategies be traded-off to cope with financial failure? The research hypothesis is: “The trade-off between financial strategies to cope with financial failure can be achieved by using financial modeling.” For the purpose of this research, the merger and acquisition strategies were used. Data was collected from the financial reports of 13 banks (covering the period of 2011–2020). Eight banks were selected and examined for their lowest and highest return on assets (ROAs). Four recorded low ROAs and the remaining four recorded high ROAs. Then, one bank was selected from each group, of which respective strategies were compared covering the period from 2016 to 2021. The financial modeling using the Excel program showed that the Eps of merger strategy is higher than the Eps of acquisition.
Karnauph Classifier: A Hybrid Mathematical Model for Data Classification
Authors: Zabian Arwa
Published: September 2023

The speed at which the data is generated, processed and stored to meet the demands of our lives today requires new technologies for handling and using this amount of data. Research on the effective usage of this data suggests that data analysis can contribute to international development, by improving decision-making, in health care, economic, and human resource development. Using artificial intelligence helps in discovering the important features of the data and to use it in classifying known data or in predicting the state of unseen data. In this paper, we propose a hybrid model that combines between Decision Tree algorithm and the Naïve Bayes algorithm in linear functions to improve the performance of a single classifier. Our algorithm is tested for three features and four features on binary data only. The simulation results indicate that our proposed algorithm outperforms the two algorithms tested separately on the same data in terms of accuracy which refers to the number of cases predicted correctly.
The promotion path of high-quality development of rural tourism based on intelligent cloud platform system
Authors: Zhu Weiqi
Published: September 2023

With the continuous development of the economy and the level of science and technology, people are no longer satisfied with the old rural tourism model, and information technology is developing rapidly, which brings an opportunity for developing rural tourism innovation. As a product of the comprehensive development of the information age in recent years, “Internet+Rural Tourism” builds an intelligent cloud platform for rural information services relying on big data and other advantages and establishes a rural intelligent tourism service system to provide convenient, intelligent, and diversified services for tourists. This paper elaborates on the practical significance of “Internet + rural tourism” development opportunities”. It proposes to scientifically calculate the environmental capacity of rural eco-tourism areas, control the scale of visitors and reasonably invest in costs because of the problems of lagging infrastructure facilities and limited distribution of inputs and outputs in the process of its development. The results of this paper show that the satisfaction level of rural tourism tourists is the lowest, with the degree of “dissatisfaction” as high as 38.40%; in the rating of rural tourism indicators, the rating of rural ecological environment is only 52.41, the average rating of rural economic indicators is 60.12, and the average rating of comprehensive management indicators is 58.2. The results of this paper also illustrate that the current rural tourism development has three major problems: environment, economy, and management and that rural tourism should not blindly invest high costs if it wants to seek high-quality development but should seek long-term development of rural tourism based on its characteristics and rural ecological environment indicators.
A mining method of integrating Civic Science elements into English teaching in higher vocational courses based on information fusion technology
Authors: Zheng Suying , Cui Tonglu
Published: September 2023

To implement the fundamental task of establishing moral education and practicing the concept of curriculum thinking and politics education, we promote the construction of English curriculum thinking and politics in higher education institutions from the necessity and feasibility of English curriculum thinking and politics and put forward the implementation strategy of English curriculum thinking and politics in higher education. In this paper, we use information fusion technology to fully explore the feasibility of integrating the thinking politics elements of higher vocational courses into English teaching and achieve the purpose of the study by exploring the ability to improve teachers’ thinking politics education, exploring the thinking politics education elements of teaching materials, and enriching the thinking politics education resources of courses. The basic algorithm of information fusion technology and the computational model of information fusion based on the RBF neural network are used to construct the mechanism of English Civic Education. According to the research, 90.71% of the teachers in the higher vocational English course education are in favor of stopping the courses such as “Bible reading,” which are not conducive to transmitting the truth of Marxism and promoting the core socialist values among college students; 80.5% of the teachers think that they should actively respond to the call of the Party and promptly 80.5% of the teachers think that they should actively respond to the Party’s call, set up teaching and research teams, study the teaching materials, explore and carry out the “Civic Politics in College English Course”, and the students generally think that the “Civic Politics in College English Course” exposes them to a large number of topics that are “closely related to the national political policies and other courses”. The students generally think that the English language courses have exposed them to much English knowledge that is “closely related to the national political policies and other courses, especially the Civic and Political Science courses”, and the English classes have become “interesting and useful”. The appropriate amount of “political thinking in the curriculum” obviously affects teaching English at university. It helps to carry out the whole process of education and teaching effectively, transform the whole staff from a dedicated person to a creative person, and effectively realize the whole staff, the whole process, and the comprehensive education of people.
Visualization communication mode and path optimization of data news in the context of big data
Authors: Zhang Hezhen
Published: September 2023

With the development of big data technology, not only driving the development of the social economy but also the news media industry is developing in the direction of integration and innovation, and promoting the dissemination of news through data value factors is the focus of current research. This paper takes data news as the research object, takes the framework theory as the entry point, and mainly studies the data news production dilemma and its optimization path. Firstly, the data news information is classified by entity extraction, and the weights between the entity information are calculated to establish the association. Secondly, the IE-Page Rank algorithm is proposed to get the IER value of each information entity by iterative calculation, which is used to identify its importance and quantitatively get the importance ranking of all information entities. Finally, the basic framework of data news visualization is constructed, and the applicable visualization optimization dissemination path is given in the case. The research results show that compared with the traditional media news dissemination model, the improved data visualization dissemination model increases efficiency by 32.3%, timeliness by 18.9%, user satisfaction by 21.1%, and effectively increases the reading volume and dissemination paths by 17.2% of users. The improved data news visualization dissemination model proposed in this paper improves the professionalization of data analysis, enhances the interactivity and visualization of data news works, and provides guidance for disseminating data news.
Media-based information display in university libraries based on a generalized differential equation numerical method
Authors: Li Shulong , Li Lina , Zhang Feng
Published: September 2023

To solve the problems of time lag and high repetition rate of information released in the media-oriented information display of college libraries, this paper improves the media-oriented information display platform based on the numerical method of generalized differential equations. The intervals of the generalized differential equations solutions for the media-oriented information display of college libraries are discretized using a grid to obtain sub-intervals. The points on the grid for each subinterval are approximated continuously using the K-step edge-value method to obtain the information dissemination cycle solution. The bifurcated periodic solution is used to check the obtained information release period solution, and the final information update period is 7 days. The results of improving the media-based information display platform of university libraries and putting it into operation of university libraries show that: Using the information update cycle determined by the generalized differential function to improve the media-based information display platform of university libraries, the repetition rate of language information release decreases from 30% to 10%. The working hours of librarians were reduced from 5 hours per week to 3.5 hours per week. It can be seen that after improving the media-based information display platform of university libraries based on the numerical method of a generalized differential equation, the repetition rate of information release and the work efficiency of librarians of the platform is improved.
Research on the current situation and countermeasures of cultivating talents in recreational sports under the perspective of artificial intelligence
Authors: Dong Zhonglei , Sha Nu
Published: September 2023

With the change of the fourth generation of information technology represented by artificial intelligence, higher education is gradually stepping into the stage of intelligent development, and leisure sports majors as one of the majors that are booming, which puts forward higher requirements on the teaching power of teachers of leisure sports majors. Therefore, studying the current situation of talent cultivation of leisure sports majors under artificial intelligence plays a good role in promoting the overall improvement of the teaching quality of leisure sports majors. In this paper, the current situation of talent training and classroom teaching of leisure sports majors is studied based on a convolutional neural network in the artificial intelligence perspective, and the framework of artificial intelligence technology for leisure sports education is constructed. It can be seen that the attitude of leisure sports students towards theory class is better; 40.93% think theory class is very important, 38.13% think theory class is more important, and 19.27% think the importance of theory class is average. Students’ attitudes toward practical classes were better than those toward theoretical classes, with 63.71% considering practical classes very important and 26.85% considering them more important. From the analysis results, we can see that there are still problems of weak basic theory research, confusion of cultivation goals, lack of science in curriculum setting, and lack of teachers in cultivating talents in leisure sports majors. In summary, this paper argues that colleges and universities and college teachers should take the initiative to apply the technical framework of artificial intelligence in leisure sports education, strengthen theoretical research, make up for the shortcomings of teaching materials, as well as integrate training objectives, improve curriculum settings, enhance faculty strength, investigate the talent specification needs of the market in-depth, proactively meet the arrival of the era of artificial intelligence, and contribute to the cultivation of talents in leisure sports majors.
The digital economy is an important path to boosting common prosperity
Authors: Li Nan , Ma Zheng
Published: September 2023

Promoting progress in the digital development of social wealth is the key strategy to promote wealth transformation. The increase has been increasing at present. Increase GDP of national wealth strategy to our country to promote wealth transformation The increase of wealth is increasing at present. This paper proposes recommendations for other regional differences to promote continuous updating of development concepts, innovation-driven development, and optimization of industrial structure to provide a good environment for the digital economy to promote the increase of wealth in increasing construction. With this as the key theory from 2012 to 2019, here we designed an economic measurement model that uses simple linear regression, benchmark test, correlation test, and intermediary effect test to conduct empirical research, measure the current situation, and develop existing grade classification and economic development level, and empirically analyzes the impact of development grade phenomenon on the commonwealth. The results show that different regions have different conditions. At the same time, grade performance contributes to the development of good results economy, with the greatest impact on the West and the least impact on the Center. In general, a subdivision of social hierarchy, the level of the high-quality economy has been improving, parameter problems in different regions roughly describe a stable, rising direction, average values of the national, eastern and central, and western regions in 2007 are 31.11, 37.53 and 27.40, rising to 42.65, 50.11 and 38.34 in 2019, respectively. Thus, the digital economy provides effective and feasible new development ideas and changes in key economic issues and is a key force driving China’s economic growth and an important path to boost common prosperity.
Optimization of cross-border e-commerce marketing strategy based on deep learning model
Authors: Cui Rui
Published: September 2023

The advent of the era of artificial intelligence provides technical support for cross-border e-commerce marketing to break the traditional competitive model and make efforts to build an online shopping platform that can meet international sellers’ and consumers’ transactions at any time around the world. This paper constructs a cross-border e-commerce marketing strategy optimization model based on deep reinforcement learning and convolutional neural network under artificial intelligence technology and explores the optimization method of the cross-border e-commerce marketing strategy by verifying the accuracy of the model and mining and analyzing the example data of Company A’s cross-border e-commerce platform. From the data, the accuracy of the deep convolutional neural network model is 99.47%, the proportion of beauty and beauty, mother and child care, and medical and health products in the product marketing strategy is 79.92%, 71.48%, and 59.93%, respectively, and the proportion of search traffic of the top three keywords in the search channel marketing is 42.69%, 31.23%, and 22.65%, respectively, and the ranking of the bottom The average traffic search of the seven types of keywords is less than 10%. This also shows that the optimization of a cross-border e-commerce marketing strategy based on the deep convolutional neural network can clearly analyze the data in the current marketing strategy, guide how to optimize the marketing strategy based on the data, and then improve the economic benefits of cross-border e-commerce enterprises. Applying a deep convolutional neural network model in a cross-border e-commerce marketing strategy also provides a direction for the new development field of artificial intelligence technology, which is beneficial to the further development of artificial intelligence technology.
An innovative study of art teaching strategies for preschool children based on big data analysis
Authors: Zhao Junchao , Tao Zhengwei
Published: September 2023

To understand the relationship between art teaching strategies and innovative development in preschool children. In this paper, using a sample-control research design, 2 middle classes of a kindergarten were selected as experimental and control classes to test the changes of children on these 5 dimensions after the art teaching was carried out, based on no significant differences in the 5 dimensions of the pre-test of innovative thinking test (drawing), namely originality, fluency, delicacy, title, and contemplation. The k-means algorithm in big data was also used to help analyze the effect of art instruction on innovativeness in preschool children. The k-means algorithm analysis revealed that in comparing between-group and within-group differences, there was a significant difference between the control and experimental classes in originality F of 6.65 and a borderline significant F of 3.94 in the dimension of title abstraction. The F values of fluency, originality, titleless, delicacy, and resistance to premature closure (contemplation) in the time dimension were 13.40, 17.84, 3.57, 21.04, and 14.60, respectively. The results found that the dimensions of fluency, originality, captioned abstraction, delicacy, and resistance to premature closure (contemplation) were significantly higher for the posttest children than for the pretest, and the dimensions of innovativeness were significant for both time and class interactions. Thus, there is a correlation between art instruction and innovative thinking development in preschool children.
A study on the effect of music on college students’ depression and anxiety based on big data analysis
Authors: Qin Puhong
Published: September 2023

The purpose of this paper is to investigate music’s effect on anxiety regulation among college students, to help them find new ways to improve their negative emotions and enhance their emotion regulation ability. This paper first describes the association rule mining algorithm, then optimizes and improves the association rule mining algorithm by using the particle swarm algorithm to encode and calculate the fitness value to generate the population optimization of the particle swarm. The optimization algorithm iteratively searches for the optimal solution, and the particles achieve the search process by following their own and the population’s optimal particles and using the particle swarm optimization association rule algorithm to mine data on the effect of music intervention on anxiety and depression. When the different interventions were applied, the post-test depressive mood level of the music group was significantly lower than that of the motor training group p=0.008 and significantly lower than that of the blank group p=0.006. And the difference between the pre-test and mid-test results of SAS in the music group was significant p=0.014, and the difference between the pre-test and post-test results of the music group was borderline significant p=0.069. When the intervention was applied with music, the intervention group SDS All four dimensions scores decreased when comparing themselves before and after the intervention, depressive psychological disorder 18.83±3.20 decreased to 14.41±3.39 and psycho-affective disorder decreased from 4.87±0.13 to 2.83±0.84. Thus, it can be seen that music significantly affects the intervention of anxiety and depressive mood.
Construction of sustainable development professional cluster in private universities based on data mining model
Authors: Liu Xueyi
Published: September 2023

Professional cluster construction is the change of professional development mode in the context of current social development, and it is the innovation of internal construction and intensive management of private colleges and universities. This paper analyzes the advantages and disadvantages of the maximum expectation algorithm in big data mining, proposes to optimize the parameter estimation iteration by using the Monte Carlo method for the problem that the stable point of the EM algorithm does not necessarily reach the global optimum, uses the sample mean instead of the overall mean, and further proposes MCEM acceleration algorithm to improve the convergence speed of the parameter estimation iteration. The evaluation score of the audit professional group construction in internal business process management of school A is 3.21, that of the software technology professional group construction in the learning and growth dimension of school B is 3.45, that of the Chinese medicine professional group construction in developing core competitiveness dimension of school C is 2.87. The comprehensive evaluation score of the construction of the industrial robotics professional group in school D is 3.33. The mining evaluation of professional cluster construction based on big data can precisely locate the key factors of professional cluster construction in private colleges and universities, which is of reference significance for the sustainable development of professional cluster construction in colleges and universities.
A Regionalization Study of Market-Based Allocation of Data Factors in China
Authors: Dai Dongyang , Jin Lin
Published: September 2023

Studying regional differences in the market-based allocation of data factors can help promote the development of data factor markets in China. This paper establishes a market-based allocation framework for data factors and analyzes the economic characteristics and market-based classification of data factors to explain the market-based framework. On this basis, a data factor market-based allocation efficiency measurement model is established based on network DEA with additional intermediate inputs to calculate the stage and overall market-based allocation efficiency of 30 Chinese provinces and cities with available data from 2019 to 2020, while the Malmquist index reflecting the inter-period dynamic changes is analyzed. The measured average values of market-based allocation efficiency of data factors in 2020 in the eastern, central, and western regions of China are 0.714, 0.515, and 0.362, all exceeding the average value in 2019, and improving by 12.43%, 15.67%, and 17.38% year-on-year, respectively. The average value of market-based allocation efficiency of data factors in 2019~2020 is 0.80, and above in six provincial. There are 6 administrative districts. 19 provinces have a Malmquist index of market-based allocation of data elements greater than 1 in 2020, accounting for 63.37%. In the era of the digital economy, provinces should actively formulate high-standard data factor market cultivation and development plans to ensure that data factors become basic and strategic resources for each province, empowering high-quality economic development.
Coupled coordination analysis of green finance on economic growth based on big data
Authors: Guo Su , Zhang Taile , Cui Junfu
Published: September 2023

Exploring the coupled and coordinated relationship between green finance and economic growth is to achieve the high-quality dual development of green and economy. This paper studies the rough set and information entropy attribute approximate calculation based on MapReduce parallel computing framework under big data technology. The basic principles of rough set and information entropy are described, and the MapReduce algorithm is used to calculate information entropy, mutual information, and attribute kernel, which shows that MapReduce calculation is always on the key-value pairs. For the correlation analysis of green finance and economic growth, the coupled coordination model of green finance and economic growth is constructed using the MapReduce algorithm, and the coupled coordination analysis of green finance and economic growth is carried out for this model. From the comprehensive evaluation index, the comprehensive evaluation index of green finance and economic growth increased by 6308.44% and 2242.21%, respectively. The coupling degree of green finance and economic growth increased by 164.66% and 835.84% from the coupling degree and coordination degree, respectively. Thus, the coupling relationship between green finance and economic growth based on big data is relatively low, but the coordination degree is high, indicating that the two influence each other and interact.
Decentralized Internet-based calligraphy education leads the internal development of aesthetic education in schools
Authors: Li Chengzong
Published: September 2023

Traditional physical calligraphy education faces huge challenges and opportunities in the context of the rapid development of big data technology and the Internet. This paper first combines big data technology and the educational objectives of calligraphy and proposes the use of machine learning to solve traditional calligraphy education challenges and lead the internal development of aesthetic education in schools. Then it elaborates the research idea and structural framework of machine learning, which mainly consists of two parts: global features of the GIST algorithm and local features of SIFT algorithm, and optimizes machine learning by weighted self-learning hash high-dimensional data indexing algorithm. Finally, the study was conducted to determine the target and content of the study based on the selection of evaluation features and to use machine learning to analyze the satisfaction of calligraphy education on the decentralized Internet. A satisfaction analysis was conducted. The results showed that for students: the satisfaction value of decentralized Internet-based calligraphy education fell within the range of 35.01% to 42.98%, and its average satisfaction was 38.99%, with students outperforming parents and teachers with 38.99% average satisfaction. This study will help students to learn calligraphy systematically with half the effort so that the calligraphy culture can take root in their minds and blossom again, which is the true meaning of “learning for the past”.
Microbiological and Sensory Properties of Tempeh as Influenced by Type of Legumes and Storage Temperature
Authors: Adanlawo Oladipo Olawale , Malomo Adekunbi Adetola , Adeniran Hezekiah Adekanmi
Published: September 2023

Bambara groundnut and lima bean are lesser-known legumes with high protein content. These legumes were incorporated into tempeh; a soybean-based snack to advance their uses as food. This research studied effects of the legumes on microbiological, physicochemical and sensory properties of tempeh during storage at ambient and refrigeration temperatures. The results showed that the total viable count of bacteria and fungi count of tempeh mash ranged between 6.173 - 7.903 logcfu/g and 6.602-6.799 log cfu/g respectively. The microbial load of the refrigerated fried tempeh snacks was lower than samples at room temperature. Blends of the three legumes (4.079 – 7.297 logcfu/g) had the highest total viable count while lima bean tempeh (3.903-5.602 logcfu/g) had the lowest. Bacillus cereus, Staphylococcus epidermidis, Bacillus coagulan, Bacillus subtilis, Bacillus alvei, Bacillus Licheniformis, Micrococcus cryophilus, Propionibacterium species, Rhizopus oryzae, Rhizopus stolonifer and Geotricum sp were isolated from tempeh snacks during storage. The results of the sensory assessment showed that lima bean tempeh snack was the most preferred. This research therefore suggests the use of lima bean and blends of lima bean, Bambara groundnut and soybean in production of tempeh to advance the use of these underutilized legumes and increase food security.
Screening and Identification of an Antibacterial Agent-Producing Lactobacillus Strain and its Application in Bananas Preservation
Authors: Guo Meng , Shu Guowei , Wang Zhanmin , Kang Jie , Chen Li , Qi Kangru , Liu Yu
Published: September 2023

With the development and progress of human society and the continuous enhancement of people's health awareness, lactic acid bacteria inhibitors as a natural biopreservative have an irreplaceable position, with the advantages of high efficiency, broad spectrum, stability, safety and other characteristics. This paper studied the antibacterial effect of 23 lactic acid bacteria; the strains with the best antibacterial effect was identified by 16S rDNA method as being Lactobacillus rhamnosus L57 and was applied to banana storage. Our study showed that Lactobacillus rhamnosus L57 has a broad spectrum, inhibiting Escherichia coli, Staphylococcus aureus, Vibrio alginolyticus and Bacillus nato. Excluding the interference of organic acids, hydrogen peroxide and extracellular polysaccharide, the salting out of ammonium sulfate preliminarily determined that the proteins or peptides are the antibacterial substances in the antibacterial agent. Physicochemical properties showed that the microorganism had good antibacterial activity after trypsin, pepsin and papain, with good tolerance to pH, temperature and UV light, and the pH optimal range of 2.0-4.0. The mixture of freeze-dried powder of L. rhamnosus L57, chitosan and natamycin was used for banana preservation, with the proportion of freeze-dried powder of 1.25%, chitosan 1.5% and natamycin 0.03%. The preservation period was extended by 4 days compared with the absence of either bacteriostatic agent.
Milk Yield and Composition, Technological Properties and Homeostasis Indices at Different Lactation Stages and Parities of Two Polish Dairy Goat Breeds
Authors: Urbańska Daria Maria , Puchała Ryszard , Jarczak Justyna , Barłowska Katarzyna , Czopowicz Michał , Mickiewicz Marcin , Kaba Jarosław , Bagnicka Emilia
Published: September 2023

The purpose of the research was to determine the effect of breed, lactation number, and lactation stage on milk efficiency and goat milk ingredients, these being indicators of milk technological parameters and homeostasis disturbances. Goat breed and number of lactation affected energy-corrected milk, value-corrected milk yield, fat corrected milk, protein, casein, lactose contents and free fatty acids. Additionally, differences in non-fat solids and urea contents were found between two Polish common dairy breeds White Improved (PWI) and Fawn Improved (PFI) goats. Moreover, parity affected milk yield, its acidity and somatic cell count (SCC). Milk yield and milk components were found to vary according to lactation stage. At the beginning of lactation, milk is richer in ingredients which have effect on cheese and yoghurt production. All the goats undergo similar changes related to the lactation stage that is at the same time and this can affect the yield and quality of the curd. In production focused on liquid milk, the age structure of the herd should be properly managed, as the goats in their third lactation or above have higher milk yields, regardless of breed. For cheese production, the PWI breed would be more suitable than PFI as the PWI goat milk contains less SCC and more components essential for milk processing, including caseins.
Effect of Ozon Treatment on Shelf-Life of Poultry Meat in the Logistic Chain
Authors: Matłok Natalia , Zapałowska Anita , Durał Beata , Balawejder Maciej
Published: September 2023

A study was carried out to determine the influence of ozon treatment on the shelf-life of poultry meat. The following doses of gaseous ozone were used: 0 ppm for 0 min, 10 ppm for 1 min, 10 ppm for 5 min, 10 ppm for 15 min, 100 ppm for 1 min, 100 ppm for 5 min, and 100 ppm for15 min. Treated and untreated samples were stored at 4°C for a maximum of 3 days and microbiologically examined on the 1st, 2nd and 3rd day of cold storage. The textural properties and water content were also analyzed. The present study showed that the most desirable color change was recorded after the 3rd day of storage, on the samples treated with gaseous ozone of 10 ppm for 15 min. Regardless of exposure time and the gas dose used, ozone has been shown to effectively reduce meat hardness. Although the analyzes performed had non-significant effects on water content and microbiological load during post-treatment storage at 4 °C, our findings confirmed the effectiveness of the ozone gas used on extending shelf life of the examined poultry meat by influencing their texture profile and color parameters.
Mr. Marvin Goes to Key West
Authors: Denham James M.
Published: September 2023

This essay provides a sketch of William Marvin's first decade in Key West (1835–45). In this period, Marvin, originally from New York, served as the territory's U.S. district attorney (1835–39) and its second territorial judge (1839–45). It was during this time that Marvin became acquainted with the city's wrecking industry and began to develop his interest in salvage law.
Judge William Marvin and the Law of Salvage
Authors: Friedell Steven F.
Published: September 2023

This essay explores the salvage decisions rendered by William Marvin during his time as a judge in Key West (1839–45; 1847–63). It also discusses his celebrated treatise on salvage law (1858), which cemented his reputation as one of America's leading authorities on maritime law. Lastly, it recounts how Marvin superintended the city's notorious wrecking industry.
The Confederate Law of Prize
Authors: Jones John Paul
Published: September 2023

This essay describes the prize law of the Confederate States of America. Due to the Union's blockade of the South's coastline, Confederate judges heard very few prize cases. But when they did, they closely hewed to the prize law of the United States.
Growth-climate responses of Picea sitchensis [Bong.] Carr. versus Picea abies [L.] Karst. in the British Isles and Central europe
Authors: Brabec Pavel , Vacek Zdeněk , Vacek Stanislav , Štefančík Igor , Cukor Jan , Weatherall Andrew , Gallo Josef , Slávik Martin , Sitková Zuzana , Putalová Tereza
Published: September 2023

Introduced tree species have become increasingly important in the context of the ongoing climate change. This paper focuses on the dendrochronology of the most widespread introduced tree species in the British Isles – Sitka spruce (Picea sitchensis [Bong.] Carr.) – in comparable soil conditions in England, Czechia, and Slovakia. The research aims to evaluate the growth dynamics and the influence of climatic factors on this tree species while comparing it with economically main tree species in Europe – Norway spruce (Picea abies [L.] Karst.). Based on the analysis of 150 increment cores, the radial growth of Sitka spruce was on average 24.2% higher than that of Norway spruce. The highest increments in 52 to 62-year-old stands were achieved in England by both Sitka spruce (8.7 mm) and Norway spruce (7.0 mm). In terms of negative pointer years (NPYs), there was no difference in the number of years with a significantly low increment between the two species at any site. The lowest effect of climatic factors on growth was found in Czechia, while the highest was in England. Higher resistance to climate was found for Sitka compared to Norway spruce. In general, the main limiting factor for the growth was the lack of precipitation in the previous year’s vegetation season, or heavy frost in England. In Central Europe, due to low precipitation, Sitka spruce will not be a substantial introduced tree species in the future, but on suitable sites, it can achieve high production potential and play a significant role for increasing stand diversity in the face of climate change.
Comparison of growth of northern red oak (Quercus rubra L.) and durmast oak (Quercus petraea [Mattusch.] Liebl.) under similar growth conditions
Authors: Štefančík Igor , Pástor Michal
Published: September 2023

The impacts of climate change on forest stands are manifested in different ways and intensity. Changes in the species composition of forest stands due to the different tolerance of forest species to the effects of climate change are one of the consequences too. In this context, introduced tree species are often mentioned as a possible replacement for dying autochthonous species. Of the deciduous species, it is mainly northern red oak. The aim of this paper is to compare selected quantitative (number of trees, basal area, merchantable volume, basal area increment and volume increment) and qualitative (crop trees) characteristics in one stand of the northern red oak at the age of 54 years and in two stands of durmast oak (age 57 and 58 years) in comparable site conditions. Achieved results showed higher values in all investigated quantitative parameters in the northern red oak stand compared to durmast oak stands. The merchantable volume in the northern red oak stand was 473 m3 per hectare in the tended subplots and 742 m3 ha–1 in the control ones. On the subplots with durmast oak, it was only from 228 to 289 m3 ha–1 in the subplots with thinning and 226 to 357 m3 ha–1 in the control areas. The same results were obtained for the category of crop trees. It means 230 m3 ha–1 for the northern red oak and 28 to 121 m3 ha–1 for durmast oak. The well-known fact about the higher quantitative production of the northern red oak compared to durmast oak was confirmed.
Silvicultural potential of the main introduced tree species in the Czech Republic – review
Authors: Novotný Stanislav , Gallo Josef , Baláš Martin , Kuneš Ivan , Fuchs Zdeněk , Brabec Pavel
Published: September 2023

Only 1.82% of the Czech forests are covered by the introduced (exotic, non-native) tree species, they represent only a very minor part of the forest area in the Czech Republic. Despite this fact under certain circumstances and locally, they can play an important role in the forest restoration of declined forests. The main non-native tree species used in the Czech Republic are: black locust (Robinia pseudoacacia L.), Douglas-fir (Pseudotsuga menziesii [Mirbel] Franco), grand fir (Abies grandis [Douglas ex D. Don] Lindl.), black walnut (Juglans nigra L.), northern red oak (Quercus rubra L.), and blue spruce (Picea pungens Engelm.). Other tree species are cultivated on very small areas, despite their much larger potential. The aim of the presented review paper is to summarize information on the introduced tree species, available especially from national sources, and give comprehensive information concerning the potential and risk of their use in the conditions of the Czech Republic. The authors mention also other tree species eligible for silviculture under current as well as future climatic circumstances. The current area and silvicultural potential in the climate changing conditions are analysed and summarized.
Detecting Abandoned Houses in Rural Areas using Multi-Source Data
Authors: Lee Changro
Published: September 2023

Abandoned houses have become a common feature of the local landscapes: the rising number of abandoned houses is a major challenge facing many counties in South Korea. Their presence negatively influences the neighborhood by undermining its aesthetic quality, depreciating the perception of safety in the neighborhood properties, and deepening the fiscal deficit of local financing. The detection of abandoned houses is the first step toward adequate housing management by local governments. This study aims to provide a cost-effective and prompt approach to identifying abandoned houses in rural areas. Multi-source data, that is, images and building registry data are utilized and a multi-input neural network is designed to adopt these heterogeneous datasets. Trained by the two source datasets, the proposed network achieves 86.2% accuracy in classifying abandoned houses, which is an acceptable performance level in administrative practice. The database of abandoned houses identified in this manner is expected to promote effective housing management by governments and ultimately contribute to mitigating vacancies in rural areas.
Evaluación de la toxicidad aguda del IHPLUS® sobre el biomodelo indicador de calidad del agua: Poecilia reticulata
Authors:   Centro de Bioactivos Químicos, Santa Clara, Villa Clara, Cuba, Castañedo Hernández Zoe Alicia , Meneses-Marcel Alfredo ,   Centro de Bioactivos Químicos, Santa Clara, Villa Clara, Cuba, Marrero Chang Osmany ,   Centro de Bioactivos Químicos, Santa Clara, Villa Clara, Cuba, Sotolongo González Keylin ,   Centro de Bioactivos Químicos, Santa Clara, Villa Clara, Cuba, Artiles Martínez Daniel ,   Hospital “Arnaldo Milián”, Santa Clara, Villa Clara, Cuba, González Sierra Liliet ,   Estación Experimental “Indio Hatuey”. Matanzas, Cuba
Published: September 2023

La agricultura convencional depende de la aplicación de fertilizantes con el fin de lograr mayores rendimientos; sin embargo, es necesario lograr un equilibrio entre sus beneficios y las alteraciones que pudieran producir a los ecosistemas. Organizaciones internacionales regulan su uso y comercialización teniendo en cuenta la eficacia y seguridad. IHPLUS®, producido por la Estación Experimental de Pastos y Forrajes “Indio Hatuey” (Cuba), ha mostrado ser efectivo en diferentes cultivos y es objeto en este estudio evaluar los efectos sobre la calidad del agua en el bioindicador Poecilia reticulata. Los peces fueron expuestos al producto, en régimen estático durante 96 h, a la concentración efectiva en la agricultura (6 %) o diluido hasta 106 UFC/mL según recomienda la EPA OPPTS 885.4000. Asimismo, se incluyeron un grupo tratado con el producto al 6 % pero esterilizado y un grupo control que no recibió tratamiento alguno. Se observaron durante 30 días post-inoculación y se evaluó el peso, la mortalidad y otros efectos subletales. Posteriormente, se determinó la concentración letal media (CL50) y la influencia del pH sobre la mortalidad de los peces. Se pudo comprobar que al 6 % provocó eventos clínicos adversos y efecto letal en el biomodelo. Las lesiones histopatológicas se corresponden tanto para el producto activado como para el inactivado. La CL50 fue de 3.19 %, asociándose la toxicidad al pH ácido y no a la carga microbiana presente en el bioproducto. Se concluye que IHPLUS® es seguro para Poecilia reticulata a concentraciones inferiores al 3 %.
Perlindungan Hukum Bagi Korban Pelecehan Seksual Menurut Prespektif Undang-Undang Nomor 12 Tahun 2022 Tentang Tindak Pidana Kekerasan Seksual
Authors: Sari Desi Puspita , Purwati Siti Ayu Resa , Darmawan Muhammad Fadly , Maulana Muhammad Syahrul , Maulana Irfan , Antoni Herli
Published: September 2023

AbstrakDi Indonesia kasus pelecehan seksual sering kali terjadi, kasus ini terus bertambah setiap tahunnya, mulai dari pelecehan seksual yang berbentuk  verbal, bahkan sampai pelecehan seksual berbentuk  fisik .hal ini mendorong pemerintah untuk dapat membuat regulasi baru guna mencegah terjadinya kekerasan seksual ditengah masyarakat sehingga, diterbitkanlah Undang-Undang NO. 12 Tahun 2022 pada 9 Mei 2022 Tentang tindak pidana kekerasan seksual. Penelitian ini berfokus pada perlindungan hukum terhadap korban kekerasan/pelecehan seksual yang dialami oleh korban, Penelitian ini menggunakan metode Yuridis Normatif . Dengan menggunakan pendekatan perundang-undangan, mengacu pada norma hukum positif yang berlaku diindonesia guna menjawab isu yang di hadapi. Berdasarkan hasil penelitian menunjukkan bahwa dengan adanya Undang-Undang Tindak Pidana Kekerasan  Seksual membawa angin segar bagi masyarakat dalam hal  pencegahan dan penanganan terhadap korban kekerasan seksual dengan cara pemulihan hak-hak korban melalui restitusi, kompensasi, serta  rehabilitasi tanpa  menghentikan  proses  hukum  yang berjalan agar regulasi ini dapat diimplementasikan dan terlaksana dengan efektif perlu adanya pengawasan dari pemerintah guna melaksanakan hak dasar yang harus diperoleh setiap warga negara.Kata Kunci: kekerasan seksual; pelecehan terhadap perampuan; perlindungan hukum. AbstractIn Indonesia, cases of sexual harassment often occur, and these cases continue to increase every year, ranging from sexual harassment in the form of verbal harassment to physical sexual harassment. This encourages the government to be able to make new regulations to prevent sexual violence in society, so it issued Law No. 12 of 2022 on May 9, 2022, concerning crimes of sexual violence. This research focuses on legal protection for victims of sexual violence and harassment. This research uses a normative juridical method. By using a statutory approach, referring to the positive legal norms that apply in Indonesia, we can answer the issues at hand. Based on the results of the research, it shows that the existence of the Sexual Violence Crime Law brings fresh air to the community in terms of prevention and handling of victims of sexual violence by restoring the rights of victims through restitution, compensation, and rehabilitation without stopping the ongoing legal process so that regulations This can be implemented and carried out effectively, but it is necessary to have supervision from the government in order to carry out the basic rights that must be obtained by every citizen.Keywords : Sexual violence; harassment of women ;legal protection
Gambaran Tingkat Kepadatan Nyamuk Aedes Aegypti Berdasarkan Indeks Ovitrap di Kota Ternate
Authors: Tomia Amalan
Published: September 2023

Ovitrap merupakan alat yang digunakan untuk mendeteksi tingkat kepadatan populasi nyamuk Aedes sp. ke suatu wilayah yang sebelumnya pernah dikendalikan. Kegiatan survei telur dengan menggunakan ovitrap dinilai sangat efektif untuk mendeteksi keberadaan nyamuk Aedes sp. di suatu wilayah. Penelitian ini bertujuan untuk mendeteksi keberadaan vektor DBD dengan menggunakan ovitrap di Kota Ternate .Penelitian ini dilakukan pada 20 kelurahan di Kota Ternate. Hasil penelitian ditemukan ovitrap yang positif telur yaitu ovitrap yang dipasang dalam rumah. Rata-rata nilai IO pada 18 kelurahan berada pada kategori  20 % sampai 35% (sedang/level 3) dan 40% sampai 60% (tinggi/level 4) 2 kelurahan.                      .
Pengaruh Kopi terhadap Parameter Darah pada Tikus Putih Galur Wistar Diabetik yang Diinduksi Aloksan
Authors: Maulidia Annisa , Jatmiko Safari Wahyu
Published: September 2023

Penelitian ini bertujuan untuk mengetahui pengaruh kopi terhadap hemoglobin, hematokrit, eritrosit, dan leukosit pada tikus putih galur wistar diabetik yang diinduksi aloksan. Hasil yang didapatkan yaitu p=0,457, p=0,381, p=0,450, dan p=0,388 berturut-turut pada hemoglobin, hematokrit, eritrosit, dan leukosit, sehingga dapat disimpulkan bahwa kopi tidak berpengaruh signifikan terhadap parameter darah, yaitu hemoglobin, hematokrit, eritrosit, dan leukosit. Penurunan kadar hemoglobin paling dipengaruhi oleh terjadinya perdarahan pada lambung. Pada penelitian ini perdarahan pada lambung belum terjadi, sehingga kadar hemoglobin tidak mengalami penurunan signifikan. Kadar hemoglobin akan memengaruhi kadar hematokrit dan eritrosit, karena hemoglobin tidak mengalami penurunan signfikan, maka kadar hematokrit dan eritrosit juga demikian. Nilai leukosit tidak mengalami peningkatan signifikan disebabkan keadaan inflamasi gaster yang belum muncul.