bluuebunny/crossref_metadata_2025 huggingface dataset:
The State-of-art Applications of NLP: Evidence from ChatGPT
Authors: Zhao Yuming
Published: May 2023

Contemporarily, CharGPT, one of the latest applications of natural language processing (NLP) based on a popular deep learning model developed by OpenAI, has attracted tremendous attention of researchers. On this basis, this study takes NLP as an example to provide a basic introduction to the development history and application of NLP, and lists some models in the development process. These are valuable knowledge that is still used in OpenAI applications. Before in-depth study of the components and models of ChatGPT, this paper also mentioned the basic introduction of chat robots. Accorind to the analysis, it is shown that people are increasingly interested in the use of ChatGPT in various applications, including language translation and question answering. However, it also lists several limitations of ChatGPT, e.g., its tendency to generate biased or inappropriate responses. The future prospects of ChatGPT or similar products are also mentioned later. Moreover, the main findings of the paper and proposes potential avenues for future research are presented. Overall, these results shed light on guiding further exploration of NLP.S.
Stock Price Prediction of the TMT Industry Based on Machine-Learning
Authors: Hu Tianyu
Published: May 2023

Predicting the TMT stock market enjoys great significance in the financial field and it has been widely researched due to its sophisticated nature and huge potential. Therefore, two machine learning models are trained and tested in this article, i.e., the multi-linear regression model and the random forest model with price information from three stocks, i.e., AAPL, NFLX, and TSLA. Every model used 80% of stock data to train and the rest 20% to test. To evaluate how accurately the models fit the price in reality, the R-squared value and mean absolute percentage error value are used. Firstly, the stationarity had to be checked, which is carried out with the Dicky-Fuller Test. The small p-value showed that the data don’t have a unit root. Then, the data were processed by the two models written by python. According to the analysis, the multi-linear regression and random forest models are relatively accurate. However, with a larger data set or with a relatively small rolling period, the random forest will be able to achieve a better result. However, larger data comes with the price of more computing resources. These results indicate that it is feasible to predict stock market prices with machine learning models and the accuracy could be improved by utilizing better machine learning models.
The Real and Complex Approaches to a Class of Dirichlet's Sinc Integrals
Authors: Jiao Runyi
Published: May 2023

Integration is a powerful tool to solve many problems in different areas, such as probability theory, physics, economics, etc. This paper deals with the integration of an important function, Dirichlet’s sinc functions of the form . Sinc function is a significant function that is used in many different fields, particularly in engineering and optics. In this article, by using the iteration method, a general solution about the integrals of the sinc functions with different powers is found, and several examples are given to support this idea. Meanwhile, Cauchy’s residue theorem and contour integration are the fundamental methods in the complex analysis, and they are chosen to compute the integrals of sinc functions with power one, two, and three. The integrals found in the examples correspond to the general solutions. The findings of the paper suggest that the real methods have the advantage to discover the recursion formula, while the complex methods are powerful in dealing with specific integrals.
Game Theory Optimization Based on Python: Evidence from Board Game “Go-Moku”
Authors: Li Zijing
Published: May 2023

Game theory has been widely used in multiple fields such as economics, computer science, and political science to study the rational behavior of multiple decision makers in different scenarios. In recent years, with the rapid development of artificial intelligence, AI trained using game theory has shown outstanding performance in board games such as Go, chess and backgammon. This study explores the application of game theory optimization in the board game "Go-Moku" using a learning algorithm combining Monte Carlo tree search algorithm and reinforcement learning. The paper discusses recent developments in game theory in Go-Moku and explains the Monte Carlo tree search algorithm in detail. The performance of the algorithm is evaluated through experimental results of the application of Alpha Zero in the Go-Moku domain, demonstrating its effectiveness in improving the gaming capabilities of artificial intelligence. According to the analysis, after 1,100 training sessions, the algorithm combining reinforcement learning and MCTS had a 9:1 win rate compared to a pure MCTS approach with 2,000 self-simulations per step. And playing against the 800-times pure MCTS method, it reached a 10:0 win rate for the first time in the 300th game. In addition, the paper discusses potential applications of game-theoretic optimization in other dynamic games. Overall, these results shed light on further exploration of game theory in the area of complete information games and reinforcement learning.
Cauchy Residue Theorem’s Application in Improper integrals
Authors: Tan Ziqian
Published: May 2023

Definite integrals are an essential tool for understanding and calculating many aspects of the natural world. An improper integral, one type of definite integral, has either an infinite interval or an integrand that is not defined at one or more points within the interval of integration. In this research, improper integrals are the main concepts that will be discussed. The function can be expressed in terms of its Laurent series expansion–a general form or representation for analytic functions that includes both negative and positive power series of (z – singularity)–about each of its isolated singularities within the contour. And then, finding the singularities that are inside the contour based on the contour function. Calculating the residue of the singularities. Then, substituting the residue with the calculated value, adding all the residue together. Lastly, the result multiplies by, which is the result, namely the integral of the original functions. With the help of the other two methods, Keyhole Contour, and principal values, it is possible to evaluate the integrals and determine the domain of the function. Keyhole Contour separates the function’s domain and evaluates real integrals. And principal values can be used for determining the specific range of the function, so a single value can be chosen.
Summary of Research Progress in Supersonic Compressor Cascade
Authors: Wang Haojun
Published: May 2023

In compressors, supersonic/transonic flow is a hot topic in today's research. Its development directly affects the performance and function of compressors. The main purpose of supersonic cascade research is to increase its tip velocity, so as to improve its power capacity and boost ratio. In this paper, important research achievements since 2017 are summarized in the following aspects: the working principle of ultrasonic elements, unique intake Angle, shock wave structure and boundary layer interference. At the same time, the most widely used design blade shapes are introduced. Finally, the future development is prospected.
Data research based on ARIMA and Gray Relational Analysis
Authors: Li Yang , Han Haoliang
Published: May 2023

The New York Times’ word-guessing game Wordle has swept the internet and ignited a Wordle craze on Twitter. In this paper, we build four mathematical models for the Wordle game puzzle report and do further research. First, we used the ARIMA model for prediction, and the Gray Correlation model was used to find the relationship between word attributes and the percentage of hard-mode participants. Next, we resorted to the BP neural network model to forecast the distribution on the number of tries, and the result was (1, 9, 26, 29, 15, 10, 11). Then, we applied the K-means model to categorize all the words based on their difficulty level, and EERIE was found to be in the ”easy” range. In the end, most players are devoted game enthusiasts, and roughly 10 percent of players consistently picked the hard mode. Additionally, most players preferred simpler games for fun and relaxation, and the percentage of hard-mode participants increased among the overall reported number.
The State-Of-Art Applications for Maximum Likelihood Theory
Authors: Zhou Maohua
Published: May 2023

Maximum Likelihood theory is widely applied in the scientific research. Generally, it can send the message that the relevant parameters of the population distribution can be estimated by the corresponding samples and provide the ideology to obtain the value of the estimators. This paper aims at demonstrating the development of the ML theory in order to have a relatively clear cognition about the theory. The paper generalizes the principle of the statistics theory and reviews several theoretical and empirical improvement and application based on the ML theory, including distribution parameter estimation in statistics, uncertainty regression in econometrics, and the assimilation of the precipitation radar observation, forming an outline about the current advance of the theory and algorithms and having some outlooks about the future development orientations in potential. In addition, some instructions are presented to approach ML theory and do further research as the basis. These results shed light on guiding further exploration of ML theory.
A Study on the Development of Tourism in Pu'er Tea Culture based on Rural Revitalization
Authors: Wang Xiaoyan
Published: May 2023

Over the past few years, the overall trend in the socioeconomic development of Japan has kept rising, and the rapid development of the economy has raised the quality of people's lives and led to the development of the third industry. Based on the contents of the activity report of the 19th national convention of China, The content of the report is to develop tea culture tourism projects with the goal of realizing rural revitalization, so as to promote the development of rural economy. Therefore, this paper presents the relevant concept of tea culture tourism and analyzes the importance of developing rural tea culture tourism, and proposes a rural tea culture tourism marketing strategy based on the background of rural development. This paper reviews the development of rural tourism in China through the method of literature analysis and examines the present state and problems of the development of rural tourism in Pu'er tea culture.To study the current situation and existing problems, analyze relevant strategies and solutions, and promote rural tea culture under the background of rural revitalization,the sustainable development of tourism provides new ideas.
Research on wildlife trade based on comprehensive evaluation and correlation analysis
Authors: Fang Zeyu , Sheng Jintao , Chen Guoning
Published: May 2023

The outbreak of the COVID-19 in 2019 has again attracted people's attention to wildlife trade market transactions. To find out the correlation between wildlife trade and major infectious diseases,we classify and count according to countries, and then take the COVID-19 epidemic that is sweeping the world as the representative of major infectious diseases, and make correlation analysis by Pearson correlation coefficient model. In order to judge whether wildlife trade should be banned, this paper establishes an economic and social evaluation model through TOPSIS evaluation model based on both banned and unbanned aspects, and corrects it by using entropy weight method, and the results indicate that wildlife trade should be banned.
Study on the risk level of light pollution based on satellite remote sensing image data
Authors: Jin Lanyu , Qin Yangyang , Ma Tianwei
Published: May 2023

Light pollution caused by artificial lighting at night (ALAN) is attracting more and more attention. In order to develop a widely applicable light pollution risk level measurement standard and accurately assess the local light pollution risk level, this paper establishes a RIM model, proposes a light pollution risk score based on satellite remote sensing image data to measure the light pollution risk level in an arbitrary area, and visualizes the model solution results by Matlab. Specifically, this paper selects the "satellite remote sensing-environmental measurement" method to obtain the data, and adopts the double difference robust regression algorithm to reduce the influence of outliers on the model and improve the validity of the model. By iterating over a large amount of data, a cubic polynomial regression equation between the independent variable and illumination was determined. Finally, the established model was applied to measure the light pollution risk levels of four types of sites.
Current Status of Renewable Energy Development in China and its Environmental Impact
Authors: Feng Jiayuan , Yu Kunru
Published: May 2023

Based on the “double carbon” proposal, the application area of renewable energy is becoming more and more extensive. The development of renewable energy sources inevitably has some drawbacks and even environmental impacts. In this paper, we analyze solar, hydro, geothermal and wind energy, and further explore their applications and impacts on the environment. The current renewable energy sources include solar, wind, hydro, geothermal, hydrogen and many others. These energy sources are frequently used to generate electricity in order to reduce the pollution caused by fossil fuels. At present, solar-related industries can pollute water and soil during production. The use of water energy requires the construction of power stations or dams, causing disruptions to fish migration and damaging watershed ecosystems. Wind power generation relies mainly on wind turbines, which generate noise that affects human life and hinders the survival of birds due to their large size. The application of geothermal energy has the potential to produce thermal and air pollution, and even lead to geological disasters. There is no denying that these energies pose many problems that cannot be ignored, so this paper intends to attract more scholars to pay attention to renewable energy and its drawbacks, and to further improve the use of renewable energy and reduce its environmental impacts by exploring. During China's energy development, hydrogen energy should be given priority since it has different advantages over other renewable energy in aerospace, electricity, and new energy vehicles, etc.
Volcanic Eruptions and their impacts in the Past 13,000 Years
Authors: Chen Shuaijun
Published: May 2023

Volcanic eruptions represent the most direct form of material and energy release from the Earth's interior, providing the basis for the origin and evolution of life on Earth, but they can also have significant impacts on human society and the environment. Most of the existing reviews and studies on volcanic eruptions have focused on specific events or eruption patterns in a single year, but there have been few summaries of global long-term volcanic eruption patterns. This article uses 13,000 years of volcanic eruption records to summarize the forms and locations as well as causes of volcanic eruptions, and analyzes and discusses the recorded data to ultimately expound on the impacts of volcanic eruptions. According to their frequency of occurrence, the 20 existing types of volcanoes were ranked in the article, with stratovolcanoes, shield volcanoes, and volcanic fields taking the top three spots. After explaining various forms of volcanic eruptions, including Plinian, Strombolian, Hawaiian, and Vulcanian, this article analyzed and summarized existing data records. Firstly, it evaluated the methods of data recording and found that in recent years, most records were made through direct instrument observations. Based on this, it concluded that volcanic eruptions have been increasing in the past 100 years. Finally, the impacts of volcanic eruptions are identified, including temperature, climate, plants, air and water quality, human society, and the polar environment. This article provides a reference for future research on volcanic eruptions, particularly on their impacts in polar regions.
Japan’s Action for Reaching the Target of Carbon Neutrality
Authors: Ge Saite
Published: May 2023

Nowadays, global warming involves in many aspects of our daily life and plays a crucial part in global economy, science-technology development, and the environment. Many countries care about the issue of carbon neutrality, which tends to cut down emissions. This paper will focus on Japan’s participation in carbon neutrality in different fields. Its target is to seek some effective approaches to carbon neutrality goal. The research analyzed 15 articles screened from Google scholar. The conclusion is that Japan has taken plenty of measures in manufacturing, new energy, and many other fields to promote carbon neutrality.
Multi-Objective Optimization for Water Resource Allocation among Five States
Authors: Mu Guowei , Mu Guoyu
Published: May 2023

In the face of worsening drought conditions in the western United States, how to deal with Cascade Reservoir Optimal Scheduling and rationally allocate water resources from two lakes to five states is a good problem worth discussing. This paper provides a rational method of allocation of water improves resources from Lake Powell and Lake Mead to five states. At present, the best scheme is to draw 0.077km3 of water from Lake Powell and 0.83km3 from Lake Mead. The best scheme is to use 77.7% water in agriculture, 17.9% in residential, 2.8% in industry, and 1.5% in power generation.
Research on global equity evaluation model based on resource allocation---Illustrated by the case of asteroid mining
Authors: Feng Yuan , Song Ge , Ju Shujun
Published: May 2023

When asteroid mining becomes a reality, distributing these resources fairly and reasonably is a new challenge for mankind. In order to establish a scientific global fairness evaluation model based on the three faces of international inequality, we have a total of 13 data from different perspectives from the six aspects of the economy, environment, natural resources, technology, education, and health. Set out to assess global equity. After the principal component analysis of these 13 indicators, we finally selected one indicator for each aspect's main indicator. Subsequently, we considered the calculation methods of various indicator weights and finally chose to use the combination of EWM and TOPSIS to measure more objectively and accurately. After EWM, each data is given a weight, and TOPSIS is used to calculate the annual score of each country. The standard deviation of the annual results is used to describe the degree of inequality between countries through the degree of dispersion of the values between countries. The higher the degree of dispersion, the higher the inequality. We use an autoregressive artificial neural network to predict the future index (standard deviation) using the first five years of each year's World Equality Index as a parameter.
Evaluation and Prediction of the Future Development of Nuclear Weapons in the World Based on AHP and Neural Network
Authors: Zhou Pengyu , Li Boao , Wang Shizhe
Published: May 2023

This paper first establishes a BP neural network model based on the steepest descent method to predict the number of nuclear weapon states in the next 100 years. Combining the AHP analytic hierarchy process model, it predicts the countries most likely to possess nuclear weapons in the next 100 years. Then, a linear regression method is used to predict the total number of nuclear weapons in 2123. Then calculate the killing range of nuclear weapons and establish an explosion location model. Finally, a model is established using cellular automata to determine the minimum number of nuclear weapons required to destroy the human survival environment, and to derive the limit range of the number of nuclear weapons. Finally, we describe our research results and propose some suggestions for the common destiny of all mankind.
Cause Analysis and Countermeasures of Wind Power Curtailment
Authors: Chen Taihua
Published: May 2023

The current world has numerous issues, such as insufficient electrical supply, excessive fossil fuel consumption, and environmental contamination. As a rapidly increasing renewable energy in recent years, wind energy plays a significant role in mitigating these issues. Nevertheless, the rapidly expanding wind energy business has led to the emergence of the problem of wind power delays. Using the existing state of wind power in China as a starting point, this article examines the causes of curtailment of wind power and the obstacles that must be overcome to improve the situation. The objective of this study is to examine the current problem of wind curtailment in China, its causes, and the problems it faces in order to give readers with further suggestions for solving wind power curtailment problem and promoting the wind power industry's continued progress toward low-cost, high-quality mature energy.
Protecting Biodiversity and the Environment Through Intellectual Property Rights
Authors: Luan Yingqi
Published: May 2023

There is a significant correlation between biodiversity conservation and intellectual property rights. The relevant provisions of the Biodiversity Treaty are closely related to intellectual property rights. The intellectual property theory surrounding the protection and utilization of biological resources is constantly developing, and China's relevant legal system should also be improved. This article describes the relationship between biodiversity and the protection of natural environment and plant diversity in the methods of intellectual property rights, and then discusses the experimental results of biodiversity protection on the Yangtze River channel and Tongjiang Lake. Finally, it discusses the results of biodiversity and environmental protection in intellectual property rights.
The Combination of Chinese and Western Architectural Styles in The Guangzhou and Guangxi Regions
Authors: Wang Rui , Li Xiao , Liu Yaxin
Published: May 2023

Since the outbreak of the Opium War in 1840, Western forces gradually penetrated mainland China, and a new wave of Western architectural styles began to emerge on the Chinese mainland. Thus a combination of Chinese and Western architecture appeared more frequently in the private sector. This article takes the former residence of Xiang Hanping and Chen Jitang's residence as examples to analyse the application of the combination of Chinese and Western architectural styles in the architecture of modern Chinese private houses in the two regions. The result is that both the former residence of Xiang Hanping and the Chen Jitang Mansion belongs to the inherited transformation style of modern private house architecture. The former home of Xiang Hanping has a green brick façade with glazed tile sloping roofs full of classical Chinese elements and is decorated with various traditional Chinese motifs. In contrast, the residence's interior is delicately decorated in a Western style, actively using new Western building materials and techniques. The Chen Jitang Mansion, on the other hand, is more daring in its construction, with a prominent 'foreign façade' combined with a magnificent interior, bringing the Western architectural style to the forefront but actively using the traditional Chinese classical garden concept in the conception and design of the courtyard, combining East and West to complement each other. The two examples are typical of the inherited transformation of the East-meets-West architectural style in the context of the same period.
Design And Analysis of Energy Dissipation and Vibration Reduction of Reinforced Concrete Frame Structure
Authors: Zhang Zhenhua , Zhang Jinlin
Published: May 2023

Accompanying earthquake, some buildings that do not meet the seismic design requirements may tilt or even collapse. Many existing reinforced concrete frame structure buildings in China cannot meet the seismic requirements, these buildings need timely reinforcement. Energy dissipation technology helps the structure to consume seismic energy by adding dampers, which provides a new way for structural seismic reinforcement. In this paper, the friction damper is designed and applied to the reinforced concrete frame structure to achieve the effect of seismic reinforcement. The main work is as follows: a natural ground motion Chi-Chi wave from Taiwan is selected to carry out the time history analysis of the uncontrolled reinforced concrete frame structure and the structure with friction damper, and the interlayer displacement angle obtained by the analysis before and after the structure reinforcement is compared and analyzed. The analysis shows that the interlayer displacement angle is significantly smaller after the friction damper is added, which can effectively reduce the seismic response of the structure.
Urban Planning and Spatial Evolution Processes in Taiyuan and Relevant Influencing Factors
Authors: Guo Kairui
Published: May 2023

As a famous historical and cultural city in China, Taiyuan City has a history of more than two thousand years with a rich evolution of its urban space. This paper discusses the influencing factors of urban space by describing the historical background of Taiyuan and the evolution of urban space. The spatial layout of Taiyuan in the Ming Dynasty was based on the idea of the palace as the main planning of the royal city. In the Qing Dynasty, Taiyuan still shared the walls with the Ming Dynasty, and the city's overall framework did not change much. The city was built mainly in traditional politics and military affairs during the Ming and Qing dynasties, with some related facilities and buildings. After the Republic of China, the layout of the city was influenced by Western urban planning ideas, endowing more functions to the internal architecture and establishing many spaces with living, cultural and educational significance. After the founding of New China, Taiyuan became a city of heavy industry focusing on the chemical industry, coal, machinery, and metallurgy.
The Spatiotemporal Coupling and Coordination of Rural Labor Transfer and Agricultural Ecological Environment of Counties in Anhui
Authors: Sun Xiaoyu , Liu Si , Deng Yuxuan , Shen Long
Published: May 2023

From the perspective of spatiotemporal evolution, this article constructs an evaluation system for the coupling coordination between labor transfer and agricultural ecological environment. The coupling coordination model is used to explore the spatiotemporal coupling coordination between rural labor transfer and agricultural ecological environment in Anhui from 2015 to 2017. The results showed that the ecological environment level in Anhui is gradually increasing and showing a trend of shifting towards southern county towns; The spatial distribution of labor force transfer shows a stable state, with each urban area as the main agglomeration area, and forming agglomeration areas in surrounding counties; From 2015 to 2017, the annual average coupling degree was close to 0.9, indicating good coordination. However, the annual average coupling coordination was on the rise, but it has been in a moderate imbalance.
An Introduction to the Application of Dialectical Materialism in Ecotourism
Authors: Deng Chunli
Published: May 2023

This article focuses on the application of dialectical materialism to ecotourism. Firstly, we break down the relevant system of dialectical materialism, starting with its views on nature and natural science, in order to explore the inherent relationship between dialectical materialism and ecotourism. Then, we delve into the application of dialectical materialism in ecotourism and organically combine it with other theories to develop and utilize it in a reasonable way.
Research on the Evolution Trend of Community Governance Policy Path
Authors: Bu Yangfan
Published: May 2023

Urban and rural communities are the cornerstone of society, and are related to the vital interests of the residents and the harmony and stability of society. Based on the perspective of policy change, this paper selects 131 policy documents related to urban and rural community governance since the modernization of national governance was proposed in 2013 as research samples, and establishes a three-dimensional analysis framework of "policy time-policy space-policy path" to analyze the evolution trend of the policy path of urban and rural community governance in China. The study found that, from the time dimension analysis, with the evolution of urban and rural community governance policies in China, the overall policy path showed a trend of single focus to diversified development, and gradually formed the policy development characteristics of "macro control-micro adjustment"; from the perspective of space Dimensional analysis shows that the country's central and local policy paths are in step, and there are significant "gradient" differences in different places. In general, the evolution trend of urban and rural community governance policy paths reflects the transformation of its governance philosophy and the continuous optimization of primary-level governance attention allocation, which coordinates and promotes the modernization of China's governance capabilities.
Review of Just-in-Time Material Distribution Scheduling for Mixed Flow Assembly Lines Considering Transfer Vehicle Handling Energy Consumption
Authors: Liao Shiyu
Published: May 2023

In recent years, the automotive industry, which uses component assembly methods for production, has grown rapidly as the demand for new energy vehicles has increased. This trend has also led to an increasing number of customers seeking individualized options, which places greater demands on traditional OEMs' vehicle production and assembly processes. In order to meet these challenges, OEMs need to improve their platform production lines by replacing traditional single-product lines with mixed-flow assembly lines. With the development of industrial standards and technology, automated production lines and unmanned vehicles are also being used in assembly line production. Decisions around the scheduling of material distribution on the side of assembly lines with material supermarkets need to be addressed in terms of the start of handling time of the AGV (Automated Guided Vehicle) trolley and the number of loaded bins. This paper presents a review of the research on issues such as distribution patterns under mixed flow assembly lines, combined with the new material supermarket distribution model, and considering the energy consumption of transfer vehicles for handling.
Failure Determination and Failure Region Location Algorithm of TBM Cutter Head based on SVDD
Authors: Xu Jiacan , Xing Shiyu , Hu Binbin , Zhou Peng
Published: May 2023

In the TBM system, the tool system failure is an important factor affecting its driving efficiency. In order to improve the maintenance efficiency of the tool system, this paper designed the failure simulation test platform of the TBM tool system, and according to the force changes of the cutter head when the hob fails in different areas, proposed the tool system failure region location diagnosis algorithm based on SVDD, in order to judge the failure state of the cutter head system and locate the failure region. Experimental results show that the cutter head failure determination and failure region location algorithm proposed in this paper can effectively identify the cutter head region where the failure hob is located.
Simone Marcelli Pitzalis, Questo è il corpo. Rituale dei giorni nuovi
Authors: Mogavero Maria Vittoria
Published: May 2023

Simone Marcelli Pitzalis, Questo è il corpo. Rituale dei giorni nuovi (Firenze, Effequ, 2022, 202 pp. ISBN 979-1280263315) di Maria Victoria Mogavero
INTEGRATING GENOMICS AND BIOTECHNOLOGICAL APPROACHES TO ENHANCE ABIOTIC STRESS TOLERANCE IN SESAME (SESAMUM INDICUM L.)
Authors: BASHIR H , KHALID MN , AJMAD I , ULLAH F , AMMAR A
Published: May 2023

Sesame (Sesamum indicum L.) is an ancient oilseed crop cultivated for its rich oil, protein, and essential nutrients. However, changing environmental conditions due to climate change poses significant challenges to sesame production. Abiotic stresses, such as salinity and drought, can severely impact sesame yield and productivity. Integrating genomic approaches and biotechnology in sesame breeding offers significant promise for developing resilient sesame cultivars with enhanced abiotic stress tolerance. GWAS (Genome-wide association studies) have identified genes and QTL (quantitative trait loci) associated with drought and salinity tolerance in sesame. The genomic selection offers several advantages over traditional breeding methods, enabling the efficient development of stress-tolerant sesame cultivars. Biotechnological tools, such as CRISPR-Cas9 genome editing technology, allow for precise modification of specific genes, facilitating the introduction of desirable traits into sesame cultivars. The integration of these approaches offers promising opportunities for the targeted improvement of tolerance against abiotic stresses in sesame. However, addressing ethical and regulatory considerations surrounding the use of biotechnology in plant breeding will be vital for ensuring the safe and responsible application of these technologies. This review paper provides an overview of integrating genomic approaches and biotechnology in sesame breeding programs focused on improving drought and salinity tolerance and discusses the potential for developing resilient sesame cultivars in the face of climate change.
Dreamed – but lived – ancient religions in Roman Dacia. Religious communication and specialization concerning dreaming
Authors: Carbó García Juan-Ramón ,   Universidad Católica de Murcia
Published: May 2023

Under the play on words of the title of this article, we make a study for the case of Roman Dacia concerning the forms of religious communication and mediation with the divine by specialists in the interpretation of dreams, from the LAR perspective (Lived Ancient Religion). This is consistent with following the new trends in the historiography of Roman religious studies, focusing primarily on atomising religious experience. The observed forms of religious communication through dreams and the strategies employed for their maintenance, such as the sacralization of space and the fostering of collaboration between groups and individuals, lead us to be able to appreciate in greater depth the richness and complexity of the provincial religious life of Roman Dacia.
The Role of Technology in English Language Learning in Online Classes at Tertiary Level
Authors: Shahid Choudhry , Gurmani Muhammad Taimoor , Rehman Saif Ur , Saif Laiba
Published: May 2023

The primary objective of the study is to investigate the relationship between the TAM (Technology Acceptance Model) factors and online applications usage for language learning. Additionally, the influence of gender and prior technology use practice have been investigated by the study. In order to comprehend the user's responses to the technology used for language learning, this study used a quantitative approach and a TAM questionnaire to collect data. The study's participants are one hundred undergraduate English as a second language students who took online courses during the COVID-19 pandemic. Students' behavioral intentions, attitudes, and app use were found to be significantly positively correlated in the research results. Besides, a positive affiliation exists between the factors; seen usability, perceived use, genuine use, and behavior. In addition, the experience has been found to be positively correlated with TAM factors, whereas gender does not appear to be associated with any TAM factors. The study suggested using technology in the classroom to make learning a second language more fun for students.
Impact of Social Factors and Peer Tutoring on Writing Proficiency of EFL Learners in Pakistan at Secondary School Level
Authors: Shah Khifza , Ahmed Abrar , Ahmed Bilal
Published: May 2023

This study investigated the impact of social factors and peer tutoring on EFL students’ academic performance. In this research work, peer tutoring strategy was used to examine its effectiveness. Three dimensions of peer tutoring ‘reciprocal peer tutoring, class-wide peer tutoring and cross-age peer tutoring’ were used. The objectives of the study were to find the effectiveness of social factors and peer tutoring on writing fluency and accuracy of EFL learners and to investigate the advantages and disadvantages of peer tutoring in EFL writing skills. The population of the study consisted of the students of 9th and 10th grade from a private school in District Mansehra. A sample of 90 students was taken randomly and these students were divided into control group and experimental group. Quasi experimental design, “Pretest-Posttest Nonequivalent Groups Design” was used to collect data. Among 60 students in experimental group, students who achieved above average marks, were selected as peers. Then posttest was conducted to find the effectiveness of peer tutoring. The data was analyzed through computer software SPSS version 21. The results showed a significant difference in students’ achievement in writing skills in experimental group. It was recommended to practice this technique in classroom to achieve academic skills.
Extended distribution of species of Bambusa Schreb.
Authors: Kumari Pushpa , Singh Paramjit
Published: May 2023

Bambusa cacharensis R.B.Majumdar considered as endemic to Assam earlier is being reported from Meghalaya and West Bengal as well. Bambusa affinis Munro, B. jaintiana R.B.Majumdar and B. polymorpha Munro are also reported from West Bengal whereas B. oliveriana Gamble is collected and reported from Sikkim for the first time.
Intraoperative Assessment of Stone Free Status for Percutaneous Nephrolithotomy Surgery: Surgeon’s Eye
Authors: YALÇIN Mehmet Yiğit , ERGANİ Batuhan , ÇETİN Taha , KARABIÇAK Mustafa , ÖZBİLEN Mert Hamza , BİLDİRİCİ Çağdaş , KARACA Erkin , YOLDAŞ Mehmet , KISA Erdem , ÖZGEN Tufan Suel , KOÇ Gökhan , ÇAKMAK Özgür , BOYACIOĞLU Hayal , İLBEY Yusuf Özlem
Published: May 2023

Objective: In patients who underwent percutaneous nephrolithotomy(PNL),it was aimed to determine the accuracy of the surgeon's intraoperative stone-free status(SFS) prediction,the factors affecting it,the predictors that caused the wrong estimation, and finally to evaluate the reliability of the "surgeon's eye".

Material and Methods: The data of 1025 patients who underwent PNL and met the inclusion criteria were evaluated retrospectively.Since the basis of our study was based on the evaluation of the surgeon's stone-free prediction,patients identified as "absence of residual stone fragment(RF)" by the surgeon were grouped and compared with postoperative computed tomography imaging according to the presence of RF.

Results: Sensitivity, specificity, positive predictive value and negative predictive value were calculated as 67.87%, 96.23%, 91.67% and 83.04%, respectively.In our study, it was found that the "surgeon's eye" predicted SFS incorrectly at a rate of 16.9%.There was no statistically significant correlation between gender,stone side,stone density and hemoglobin decrease between the two groups.Stone size,operation time,fluoroscopy time,location of the stone,number of stones in the calyces and GUY's stone score(GSS) were statistically significantly associated with "surgeon's eye".As a result of multivariate logistic regression analysis of the parameters that were found to have a statistically significant relationship with the surgeon's eye,stone size,the number of stones in the calyces and GSS were significant predictors.

Conclusion: The most important predictors of "surgeon's eye" in PNL were stone size,number of stones in the calyces and GSS. These predictors can be used as an effective criterion in the use of methods to reduce radiation exposure in postoperative imaging of patients who are predicted to be stone-free.
The Theoretical Impact and Approach of Social Responsibility in Companies Management
Authors: Romana Fernando Acabado , Gestoso Carlos Guillen , Fernandez Silvia Gonzalez , Da Silva José Morais
Published: May 2023

Purpose: The aim of this study is to understand, by a theoretical point of view, the potential impact of Social Responsibility practices in company’s management, taking in consideration several aspects and sundry approaches, by analysing the main defined strategies and policies.Design/Methodology/Approach: The concept is related with a philosophical and moral idea of corporate behaviour to the development of legally binding regulations, cultural and climate organizational characteristics.Findings: It is determined that development must be based on a Sustainable Economy while aligning these actions with the Sustainable Development Goals established and at the same time the economic performance of the companies.Conclusion: For a Social Responsibility Strategy, it is also crucial that the Human Resources departments, the commercial and marketing areas share and expose the actions that have an impact on the society where they are installed.Practical Implications: Works on the establishment of this commitment and identification with the company through Social Responsibility policies have highlighted the role of management and leadership style in facilitating or not these processes.Contribution to Literature: As new, the management team, as in other facets, has an important role to play in choosing exactly the specific objectives that have a direct impact on the company's environment and on the society of which the employees are a part, regarding and including the productivity aspects.
Correlation and contrasts between agronomic and physical traits of grain in transgenic and conventional corn hybrids for the food industry
Authors: Kluge Elizandro Ricardo , Mendes Marcelo Cruz , Faria Marcos Ventura , Kluge Fabiéli Teixeira da Rosa , Alessi Vitor Eduardo , Ilibrante Gustavo Arruda , Oliveira Kathia Szeuczuk de , Rampim Leandro
Published: May 2023

The food industry is very interested in high-yield ingredients to enrich and develop new products that have an affordable value for the population. This work aimed to determine the correlations and contrasts between grain physical and agronomic traits of conventional and transgenic corn hybrids cultivated in the first crop season. The experiments were installed in the 2017/18, 2018/19, and 2019/20 crop seasons in Guarapuava - PR. The experimental design was a randomized block design with eight hybrids (SUPREMO VIP, SUPREMO, P30F53VYH, P30F53, P3456H, P3456, DKB290PRO3, and DKB290) and three replications. The agronomic traits, such as the percentage of rot grains, 1000-grain mass, and grain yield, also the physical traits of grains for industrial purposes, such as grits, germ, vitreousness, flotation, and hectoliter weight, were evaluated. There is a positive correlation between grits and flotation. The choice of hybrids for the food industry based on vitreousness positively favors flotation. The grits showed a positive correlation with hectoliter weight and a negative correlation with the incidence of rot grains. Vitreousness was influenced by the choice of conventional or transgenic hybrid and crop season. The environments of the crop seasons influence the grain yield, 1000-grain mass, and rot grain incidence of conventional and transgenic corn hybrids.
Urgent Care Versus Emergency Department Utilization for Foot and Ankle Fractures
Authors: Dhodapkar Meera M. , Gouzoulis Michael J. , Halperin Scott J. , Modrak Maxwell , Yoo Brad J. , Grauer Jonathan N.
Published: May 2023

Introduction:

Foot and ankle fractures are common injuries for which patients may need urgent evaluation and care. Many such injuries are managed in emergency departments (EDs), but urgent care facilities may sometimes be an appropriate setting. Understanding which foot and ankle fractures are managed at which facility might help define care algorithms, improve patient experience, and suggest directions for containing costs.

Methods:

This retrospective cohort study used the 2010 to 2020 M151 PearlDiver administrative database. Adult patients less than 65 years old presenting to EDs and urgent care facilities for foot and ankle fractures were identified using ICD-9 and ICD-10 diagnosis codes, excluding polytrauma, and Medicare patients. Patient/injury variables associated with urgent care utilization relative to ED utilization and utilization trends of urgent care relative to ED were assessed with univariable and multivariable analyses.

Results:

From 2010 to 2020, 1,120,422 patients with isolated foot and ankle fractures presented to EDs and urgent care facilities. Urgent care visits evolved from 2.2% in 2010 to 4.4% in 2020 (P , 0.0001). Independent predictors of urgent care relative to ED utilization were defined. In decreasing odds ratios (ORs), these were insurance (relative to Medicaid, commercial OR 8.03), geographic region (relative to Midwest, Northeast OR 3.55, South OR 1.74, West OR 1.06), anatomic location of fracture (relative to ankle, forefoot OR 3.45, midfoot 2.20, hindfoot 1.63), closed fracture (OR 2.20), female sex (OR 1.29), lower ECI (OR 1.11 per unit decrease), and younger age (OR 1.08 per decade decrease) (P , 0.0001 for all).

Discussion:

A small but increasing minority of patients with foot and ankle fractures are managed in urgent care facilities relative to EDs. While patients with certain injury types were associated with increased odds of urgent care relative to ED utilization, the greatest predictors were nonclinical, such as geographic regions and insurance type, suggesting areas for optimizing access to certain care pathways.

Level of Evidence:

III
Techno economic feasibility of soybean based cropping systems under varying climates in Madhya Pradesh
Authors: K.V. RAMANA RAO  , YOGESH A RAJWADE  , NEELENDRA SINGH VERMA  , DEEPIKA YADAV  , VINAY NANGIA
Published: May 2023

Building resilience to climate change through on farm management techniques such as crop diversification, and water management as supplemental irrigation is vital for sustainable agriculture. In the present study, soybean (Glycine Max L.) based cropping systems (sole crop, and intercropped with cotton or pigeon pea) through different combinations of cultivation practices (flatbed, raised bed) and irrigation levels (Rainfed, 66%ETc, 100%ETc and methods (drip, sprinkler) were studied in randomized block design with three replications during kharif season of 2019-20 and 2020-21. Plant growth parameters viz. plant height and dry weight were recorded maximum in rainfed soybean as sole crop, while the number of branches/plant were recorded maximum in sole soybean crop irrigated at 100%ETc. Grain yield (5.37 t ha-1), and water productivity (0.47 kg m-3) were maximum in soybean intercropped with cotton. Overall, cotton+soybean irrigated at 66% ETc can be adopted by farmers to achieve optimal productivity without significant yield penalty.
Effect of induced moisture stress at critical stages on physiological traits and yield of rice (Oryza sativa L.)
Authors: SACHIN S.  , THAVAPRAKAASH N.  , DJANAGUIRAMAN M.  , PATNAIK G. P.
Published: May 2023

A field investigation was made at the Tamil Nadu Agricultural University farm in Coimbatore during the late Kharif 2019 and late Rabi 2019-20 seasons to quantify the impact of induced moisture stress (MS) at critical stages (10, 15, 20, & 25 days from panicle initiation and flowering) on physiological traits and yield of rice. The experiment was laid-out in randomized complete block design (RCBD) with three replications. During both seasons, physiological traits (photosynthetic rate, stomatal conductance, transpiration rate and chlorophyll index) were recorded after the MS period (10, 15, 20 and 25 days) at both critical stages. The experimental results revealed that MS of any period and any stage (panicle initiation and flowering) reduced the values of all physiological traits, grain and straw yields in both seasons. The MS period of 25 days from panicle initiation significantly reduced all physiological parameters, including rice yield.