bluuebunny/crossref_metadata_2025 huggingface dataset:
Glass classification and identification based on systematic clustering and BP neural network algorithm
Authors: Lu Ruoxin , Wang Luyao , Wang Hanbo
Published: December 2022

As glass is buried in the ground for years, its surface has been eroded by weathering, thus changing its chemical composition and structure. In this paper, we search for the basis for the classification of high potassium glass and lead-barium glass, and on this basis, we further carry out subclass classification, and finally perform sensitivity analysis on the classification results. After establishing the glass classification model, the artifacts with unknown glass types are predicted, and the data are input into BP neural network for training and prediction to determine their artifact glass types, and sensitivity analysis is performed on the prediction results.
Research and analysis of intercalated meltblown nonwovens based on machine learning
Authors: Liang Jingwen , Huang Xiner , Wu Huibing
Published: December 2022

This paper explores the relationship and change law between process parameters, structural variables and product performance, and through seeking the optimal combination of process parameters, the filtration efficiency of the product is as high as possible and the filtration resistance is as small as possible. Firstly, the correlation between structural variables and product performance is analyzed by Spearman correlation coefficient method after the relevant data are processed by factor analysis method. Secondly, linear regression, random forest regression and lightGMB regression models are used to judge the relationship between process parameters and structural variables. Finally, the relationship between structural variables and product performance can be obtained by using multidimensional scaling transform (MDS). The results showed that the product filtration efficiency was the highest when the acceptance efficiency distance was 20m and the hot air velocity was 800km/h.
Research on Financial Risk Path Identification of Small and Medium-sized Energy Enterprises Based on ISM-MICMAC Model
Authors: Ji Chunlei
Published: December 2022

Small and medium-sized energy enterprises face many risks in the process of carrying out financial activities, but the lack of systematic risk path identification countermeasures is easy to make them suffer serious economic losses. Based on the literature analysis method and expert interview method, this paper determines 15 factors that affect the financial risk of small and medium-sized energy enterprises, and uses the ISM to determine the multi-level hierarchical structure of the influencing factors, and then analyzes the hierarchical structure between the factors and the path that affects the financial risk of small and medium-sized energy enterprises. Then, the driving force and dependence of each influencing factor are mined by MICMAC, and the financial risk path of small and medium-sized energy enterprises is identified. This study takes the influencing factors of financial risk of small and medium-sized energy enterprises as the research object. The research results have certain universality, which can provide new solutions for small and medium-sized energy enterprises when facing development problems.
Preface: 2022 International Conference on Image Processing and Intelligent Information Systems (IPIIS 2022)
Authors: Macaulay Geoffrey , Feng Jin
Published: December 2022

The 2022 International Conference on Image Processing and Intelligent Information Systems (IPIIS 2022) was successfully held online during October 22-23, 2022 in Zhengzhou, China. In the context of the conference, scholars and experts in the fields of image processing and intelligent information systems, involved both in experimental and theoretical research, were invited from various universities and institutions. The conference focused on the most recent advancements in topics such as 'Wireless Sensor Networks', 'Digital Signal Processing', 'Embedded Systems' and others.

The main goal of IPIIS 2022 was to present the related research work, to promote the cooperation of experts and scholars in these fields, to share the research achievements both on a national and international level. This collection of proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the editorial committee.

Because of restrictions on travel and indoor activities related to COVID-19, we were forced to hold the conference online only. Attendees were notified well in advance that the on-site conference was changed to an online conference, where the timeline and order of the talks were defined. The video conference was held on the original set dates. Due to the large variety of topics and the relatively large number of attendees, the conference was separated into main and parallel sessions. Each plenary speaker gave an oral presentation of 30-40 minutes accompanied by his slides' material, allocated for questions and discussion.

The organizing and editorial committees of IPIIS 2022 hope you can enjoy the reading of this volume. Additionally, we want to thank all authors and participants for providing their valuable contributions for these proceedings, as well as the reviewers for their constructive recommendations and feedback aiding to improve the presented articles.

IPIIS Organizing Committee

Zhengzhou, China
Big Data Analysis and Research of Guangdong Youth's Marriage Views Using K-means Clustering and SEM Model
Authors: Hua He
Published: December 2022

Starting from the temporary intimate activities or services represented by the popular “lovers for a day” recently, this paper explored the value on love and marriage of the youth group in the course of social individualization to mine the love and marriage features of the youth group in the second modernity. This thesis further excavated the individualized characteristics and love and marriage dimensions of the youth group using the K-means clustering analysis, the synthetic evaluation model, the SEM model and other methods. Research found that “lovers for a day” were the modern individualization trend and the products of the compromise of the traditional view of marriage and love at home. The “fast-food” culture prevails for the moment. With a small social circle, a fairly large number of youth attempt to make acquaintance with more opposite sex through temporary intimate services and activities. Moreover, youth have a certain cognitive bias towards themselves and the opposite sex on account of the diversity of information and convenience of information acquisition. Finally, youth who recognize love and marriage and pursue a higher value of life are more likely to tolerate sexual love and get married. This paper believed that we should play the role of communities and public opinions to create a pleasant social atmosphere for the right-age youth group; besides, we should mould a fine family tradition; finally, youth individuals should also improve their self-cultivation and correct their attitude towards love.
Sign language recognition based on depth image processing
Authors: Zhang Wanyu
Published: December 2022

Deaf and mute people mainly rely on sign language to communicate, but they still face many problems in their daily life. The interaction between humans and computers has developed extensively in recent years, the flexible and easy-to-understand characteristics of sign language make it suitable for application in the technology of computer vision. This paper mainly introduces sign language recognition from the current research status, application of deep image processing technology, collection of sign language datasets and the final results. After analysis, this paper finally established a recognition model with the wrist joint as the center point to complete the extraction of hand features. This paper input a large number of pictures to train the model, and the final recognition rate reached 91.3%. This paper can widely apply this recognition technology in computer-aided teaching, TV program bilingual broadcasting, virtual human research, medical research, game entertainment and many other aspects.
Transfer Learning-based Convolutional Neural Networks in Pneumonia Recognition
Authors: Xu Kaixi
Published: December 2022

It is very hard for humans to distinguish the lungs of different kinds of people by looking at lung x-ray pictures with their eyes. However, artificial intelligence such as deep learning methods can help people distinguish these diverse images. The dataset of lung images has four categories, namely normal, COVID, viral pneumonia, and lung occupancy. Many models such as VGG and AlexNet can achieve high accuracy, but these models cannot guarantee that they can be used in other fields. Therefore, transfer learning can be considered to make sure one model can be used in multi-disciplines. In this work, the imagenet as the first dataset was used. After training in the imagenet dataset, the model got some edge characteristics from imagenet so that this model can distinguish other stuff. The model would distinguish the types of the lung images and give a correct justification. The transfer learning model only has three layers. By using the Adam optimizer and 0.0001 learning rate, the precision had arrived at 85% and the loss had arrived at 0.37. After importing the transfer learning, the machine can be used in several disciplines such as human recognition, flower recognition.
Intrusion Detection System with Supervised Learning Models
Authors: Zheng Jihan
Published: December 2022

Intrusion Detection Systems (IDSs) can analyze and detect abnormal network activity, which addresses potential attacks based on studying and analyzing past attacks. This paper uses four supervised machine learning methods, which are logistic regression, decision tree, support vector machine, and random forest, to detect these abnormal attacks. The dataset used in this paper is from KDDCUP’99, a publicly available dataset for network-based anomaly detection systems. Certain features and outcomes are first extracted from the dataset.  The values in nominal features are converted into dummy variables, and the values in outcome are changed to either normal or attack. Then the training processes are performed with the four algorithms, and the models are tested to get the accuracy scores. According to the results, the logistic regression model has the highest accuracy score of 0.9415, and the other three models all have accuracy scores above 0.90. The accuracy scores of the decision tree, support vector machine, and random forest are 0.9317, 0.9374, and 0.9202, respectively. Our models turn out to be efficient in identifying the network anomaly with provided data.
Abnormal Traffic Prediction and Classification based on Information Big Data
Authors: Tian Yuyang
Published: December 2022

Intrusion Detection System (IDS) is a proactive security technique for detecting and alerting suspicious signals. However, the intrusion method developed as a fast and traditional method for detecting malicious traffic has a lot of shortcomings like low accuracy and low efficiency. To determine the different intrusion methods' features and promote the accuracy of malicious traffic detection, several Machine Learning models for classifying different intrusion methods such as KNN, Naive Bayes, SVM, LightGBM are compared. To further improve the accuracy of the model, ensemble models like Voting, Stacking for comparison are also introduced. Grid Search is used for the best parameters. The accuracy, precision, recall score and F1 score are used as metrics to evaluate the performances of different models. The experimental comparison and analysis show that the integrated learning algorithm based on Stacking has the highest accuracy for malicious traffic detection.
Advanced Architectures and Materials of Functional Devices for Neural Interfaces
Authors: Chen Juntong , Wu Shuang
Published: December 2022

Architectures and materials of functional devices at neural interfaces have advanced quickly over the past few decades. Direct implant into the brain is required for conventional invasive procedures, which present a risk of inflammation due to its open craniotomy. New technologies were pushed to be developed to avoid inflammations, as the four most iconic architectures that can be minimally invasive: filamentary probes, conformal sheets, open-mesh networks, and distributed material elements appeared in researchers' vision to record and modulate neural activities. This review unveils their mechanisms, functions, and effects respectively. Additionally, this discussion covers the most current findings regarding the roles played by these four architectures, including their structural designs for neural interfaces and their potential future applications.
Research on image matching methods in computer vision
Authors: Shi Zizhou
Published: December 2022

Today, computer vision has shown a variety of roles in our lives, making people’s life more convenient. Also, a variety of artificial intelligence models and algorithms have emerged for computer vision. Image matching is an important technique in the field of computer vision to find the similarities between two images or multiple images with the help of matching algorithms to achieve scientific and accurate processing of images. Therefore, summarizing the effective approximate solution to this problem as well as the future research is the main part for current research. The paper firstly describes the basic elements of the image matching technique. Then, some representative traditional image matching algorithms proposed in the field of computer vision research in recent years are summarized and reviewed. Finally, the future research directions and research ideas of image matching are discussed, providing reliable guidance and reference for subsequent research.
Research on entity extraction based on subway energy consumption patent
Authors: Ha Jinbing , Shi Yongjie
Published: December 2022

In order to reduce operating costs and fulfill social responsibilities, enterprises and researchers in the field of rail transit need to study more efficient energy-saving technologies. Patent is one of the important ways to obtain information and knowledge related to technological innovation, but most of the existing patent analysis systems are statistical analysis of external patent information, and the results are not intuitive enough, which is not conducive to more in-depth mining of patent information. This paper introduces knowledge mapping related technologies to deconstruct and organize patent information to support scalable patent query and analysis requirements.
Optimal Design of Heat Dissipation Scheme of Submarine Data Center Based on Multi-objective Programming
Authors: Wu Siqi , Zhu Jiaming , Yang Penghui , Cao Yuchang
Published: December 2022

Aiming at the heat dissipation scheme of submarine data center, firstly, the main constituent materials of submarine container are screened by using deviation matrix; Secondly, considering the budget conditions, the water temperature equation is established, and the placement water depth and container wall thickness are determined by multi-objective programming method; Finally, considering the influence of seasonal factors and tidal factors, the influence of temperature on container heat dissipation is estimated. The research shows that: it is more suitable to choose AISI 1080 Steel as the material for the submarine data center under the conditions of comprehensive consideration of budget, water pressure, water temperature and other factors.
Preface: 3rd Asia Conference on Geological Research and Environmental Technology (GRET 2022)
Authors: Melville Renata , Yu Lin
Published: December 2022

The organizing committees are honored to present the proceedings of the 2022 3rd Asia Conference on Geological Research and Environmental Technology (GRET 2022), held in Kamakura City, Japan during 12-13 November, 2022.

GRET 2022 aims to bring together outstanding scholars, researchers, and students to exchange and share their experiences and research results about all aspects of earth science, geological research and environmental technology. We also provide the keynote address and several plenary invited speeches for discuss the most recent innovations, trends, and concerns, practical challenges encountered and the various solutions in these fields.

Considering the prevention and control of COVID-19 and travel restrictions worldwide, the organizing committee adjust the format to online meeting to avoid personnel gatherings. In everyone's efforts, GRET 2022 was successfully held as scheduled. The conference model was divided into two parts, including keynote speeches and online discussion. In the first part, keynote presentations were delivered in 30 minutes for each talk. The second part was held lasted nearly an hour in a communication group for experts and scholars to discuss more about the talks and presentations.

By submitting a paper to GRET 2022, the authors agreed to the review process and understood that papers would undergo a peer-review process. Manuscripts were reviewed by qualified experts in the field selected by the conference committee. The committees invested great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit.

We do believe your great participation will make our conference success and we would appreciate your participation. Hopefully, all participants and other interested readers will benefit or find inspirations from this proceeding.

With our best regards,

Conference Organizing Chair

Kamakura City, Japan
Take Shanghai as Example, Analyzing the Environmental Effect and Sustainability of Chinese Medical Waste Disposal during Covid-19
Authors: Jin Zhuoyang
Published: December 2022

This thesis analyzes the amount carbon dioxide emissions from medical waste disposal as well as the sustainability of this method, by taking Shanghai as an example, which suffered from outbreak of Omicron mutant strain virus in 2022. This thesis involves three perspectives: the chemical reaction of the waste, the consumption of coal to burn the waste and the daily totally cost for treating medical waste. Conclusions were reached: Although it is not economical, high temperature incineration is probably the most environmentally friendly way of treatment. Medical waste, such as nucleic acid swabs and tubes, is mainly made of polyethylene, and only generated carbon dioxide and water when burned. After comparing the total amount of carbon dioxide daily produced in Shanghai with the amount from burning medical waste, it is found that the latter represents a limited percentage of the former. However, the daily cost of disposing of medical waste in Shanghai remains high, which puts pressure on the city's environmental department. The daily requirement of 11 dedicated incineration plants may be burden on both waste treatment and economic field in long run, so reducing the demand for medical plastics or increasing the combustion efficiency is necessary in the future.
The Impacts of Vegetation on Summer Extreme Temperature of 4 Major Cities in China Based on Scatter Analysis and Linear Trend Analysis
Authors: Li Jiaqian
Published: December 2022

In the summer of 2022, the extreme high temperature phenomenon is particularly obvious in China, especially in Chongqing, Zhengzhou, Guangzhou, and Shanghai. Some studies have pointed out that there is a strong correlation between vegetation activity and regional climate change, and some vegetation types can mitigate the rise of extreme temperature. However, few papers can put forward inductive suggestions on what types of vegetation can effectively alleviate the extreme temperature in China. Therefore, in this paper the extreme temperature data of CMIP6 (tasmax) is used to explore the correlation between the vegetation cover rate and the extreme temperature of the four major cities in China through the scatter analysis and linear trend analysis. It is found that the vegetation cover rate has a significant correlation (p<0.05) with the extreme temperature: The high vegetation cover rate has a negative correlation with the extreme temperature (p=0.01), and the low vegetation cover rate has a positive correlation with the extreme temperature (p=5.86 x 10-9). According to the geographical location, 4 cities are divided into two types: inland cities and coastal cities. The results show that: (1) planting high vegetation may be more conducive to the mitigation of extreme temperature; (2) the increase of low vegetation coverage may be more conducive to the reduction of temperature rise rate; (3) inland cities may need to plant more high vegetation than coastal cities to mitigate extreme temperature.
Study on the effect of different grazing strategies on soil moisture and vegetation biomass
Authors: Zhang Zhenyao
Published: December 2022

A reasonable grazing policy of "returning grazing to grass" is the key to boosting the regional economy, preventing desertification of grasslands and safeguarding people's livelihoods. In this paper, the Woodward model is used to establish the quantitative relationship between grazing and plant growth from the perspective of mechanistic analysis. To analyse the effects of different grazing strategies on the physical properties of Xilinguole grassland, this paper establishes a water balance equation for the soil-vegetation-atmosphere system and obtains a mathematical model for the effects of the physical properties of soil and vegetation biomass in Xilinguole grassland. Finally, on the basis of keeping the current grazing strategy unchanged, a model is developed to predict the future soil moisture.
Forest Management Plan Based on Forest Carbon Sequestration
Authors: Wang Wei , Huang Wenxuan , Fang Yi
Published: December 2022

As the phenomenon of global warming intensifies, human beings pay more and more attention to environmental protection, and the requirements for carbon reduction and carbon sequestration are getting higher and higher. Forest carbon sequestration is particularly important. In order to achieve the maximum carbon sequestration, we select two representative trees respectively and make them represent the whole forest through the weighted average method. Through a large amount of data collection, the existing data and carbon storage calculation formula can be used to obtain the forest carbon sequestration. Finally using MATLAB programming to draw separately, the change map of the amount of carbon sequestration in forests and forest products over time under the influence of the factors of felling trees is obtained.
Current Situation, Challenges and Prospects of Geothermal Energy Development in China
Authors: Yu Ouyang
Published: December 2022

Based on the geothermal resource conditions, the current situation of China's geothermal energy utilization in heating (cooling), power generation, hot spring bathing, high-end seed breeding, and hot dry rock exploration and development are explained. The development trend of geothermal energy in the fields of resource discovery, exploration, development and utilization technology, utilization scale, macro policies, and market participants are predicted in the context of the goal of "carbon peak and carbon neutral". Finally, suggestions on the management of China's geothermal industry is proposed.
European Energy Prospect under the Russo-Ukrainian war
Authors: Yu Hongyi
Published: December 2022

This paper studies the strategies of the European Union facing the Russo-Ukrainian war and discusses the possible outcomes of the Europe energy structure in the near future. It mainly analyzes the availability of the “Re-power EU” plan, using research from Nature, IEA, World bank and other reliable resources, to help readers understand how the Europe Union will deal with the energy crisis that exists for a long time and recently escalated in the light of the outbreak the Russo-Ukrainian war. The paper also provides suggestions for the EU to better implement the new energy plan, but also shows concerns and obstructions of the plan.
Fatigue Life Calculation of Tubing for In Situ Drilling Rig
Authors: Bian Peiming , Liu Lijuan , Luo Fei , Luo Yanxu , Zhao Jindong
Published: December 2022

The severe bending strain that the tubing of the in-situ drilling rig is subjected to during the operation under pressure, which exceeds the elastic limit, will cause periodic plastic deformation of the tubing of the in-situ drilling rig, so that fatigue cracks will occur on the internal and external surfaces of the tubing of the in-situ drilling rig and expand rapidly, leading to the greatly shortened service life of the tubing of the in-situ drilling rig. Based on the stress analysis of the dangerous points of the tubing of the in-situ drilling rig, the relationship between the predicted and the standard measured tubing life of the in-situ drilling rig is obtained in this paper. The number of tubing cycles of in-situ drilling rig decreases sharply with the increase of internal pressure. The greater the internal pressure is, the greater the circumferential stress and uniaxial alternating stress are, which causes the number of tubing cycles of in-situ drilling rig to decrease when tubing fails. It shows that the fatigue life of tubing of in-situ drilling rig is significantly affected by internal pressure.
Study on the buckling behavior of continuous tubing column in deepwater natural gas hydrate reservoirs
Authors: Luo Fei , Liu Lijuan , Bian Peiming , Luo Yanxu , Zhao Jindong
Published: December 2022

Although the gas hydrate in the South China Sea has been successfully exploited, it is still in the exploration stage. In order to conduct large-scale commercial development, a large number of technical difficulties need to be overcome. The burial depth of the combustible ice in the South China Sea is more than 200 meters below the seabed mudline, and the vertical depth of the overlying strata that can be used for deflecting is small. The implementation of short radius horizontal wells has become the best technical means to ensure the drilling rate of the reservoir, increase the drainage area of the reservoir, and improve the development efficiency under the current technical conditions. Coiled tubing has more advantages than conventional drill string in the development of short radius horizontal wells because of its flexibility, which provides a new focus for cost saving. The buckling of coiled tubing is different from that of conventional rods. Its lateral displacement will be constrained by the size of the wellbore, resulting in sinusoidal and helical buckling. Therefore, it is very important to understand the downhole buckling behavior of coiled tubing for hydrate exploitation.In this paper, based on the previous research, the calculation model of coiled tubing buckling load is derived by using the energy method, and the load calculation method of straight well section is improved according to the rationality of finite element simulation, and then the critical buckling load of different well sections is analyzed; Considering the influence of hydrate decomposition in hydrate reservoir, assuming that the density of drilling fluid increases linearly with the well depth after the natural gas from hydrate decomposition enters the annulus, the average density formula of drilling fluid under different gas ratios at the top of the annulus is established, so as to obtain the calculation formula of coiled tubing floating weight and equivalent axial load under different gas ratios at the top of the annulus; The geometric nonlinear finite element buckling analysis model of coiled tubing is established based on the nonlinear large deformation theory, and the buckling process of coiled tubing under different axial loads and different top annulus gas ratios is simulated under different well sections.
The synergy between CO2 emission reduction and air pollution control in urban China under scale-oriented strategy: A perspective of efficiency
Authors: Su Yilin , Jiang Jie , Wu Hang
Published: December 2022

At present, energy shortages and air pollution are of increasing concern worldwide. During the "14th Five-Year Plan" period, China will more firmly implement the green development strategy. In order to explore the synergistic emission reduction effects of urban greenhouse gases and air pollutants under different strategies, this paper takes 30 major cities in China from 2011 to 2019 as the research object, and analyses the input-output performance of 30 cities under the scale-oriented strategy. The empirical results show that most large cities in China are still in a state of low efficiency and insufficient growth momentum.
Recycling of solid waste resources helps rural revitalization: taking Huayuan County as an example
Authors: Liu Hengyu , Li Hongyu , Liang Hongyi , Luo Dairong , Ma Tianxing
Published: December 2022

Huayuan County is the first initiative of "targeted poverty alleviation", the county has vigorously developed the mining economy in the past to grow, but the ecological environment has also been seriously damaged, solid waste urgently needs to be treated. To this end, this paper proposes a treatment scheme for goaf, tailings pond and waste rock dump. It also provides guiding suggestions for waste-free mining in the future, effectively reducing the damage to the local environment, reducing the cost of solid waste treatment, and improving the economic benefits of the mine. Finally, the risks that the program may encounter are analyzed from the technical and policy aspects.
The Main Factors of Environmental Impact of the Olympic Games
Authors: Yang Yuning
Published: December 2022

This paper analyzes the main environmental factors in the current period, focusing on some main man-made environmental impacts during major sports events. For these problems, we will use the method of ecological footprint to explore specific directions and causes. How consumers can properly use land resources to achieve environmentally friendly guidelines is a goal to be explored. At the same time, this paper will pay more attention to whether the environment people live in the society will have a certain impact on nature, mainly focusing on some studies in the living area. However, ecological footprint is not the only comprehensive measurement method, there are some limitations. This article will not focus on any one Olympic Games, but will analyze and discuss different Olympic Games in different periods for the same problem. The main analysis of the article will have a lot to do with the football field, and some references will be made here because our focus is not just on the Olympic Games.
Research on the Technology of Potentials and Optimizing Methods of Old Wells
Authors: Wang Junheng , Liu Panfeng , Wang Yanli , Ren Shiju , Chen Qiong , Xu Jian , Qiang Hua , Zhu Guanghai , Yin Qingguo , Zhang Xiaochun
Published: December 2022

Chang 22-19 belongs to the banshen 51 fault block of changlu oilfield, which is located 3km north of group 10 of changlu salt field.  Production fell to 74% by July 2021. Through the analysis of formation potential, a perforating software is used to optimize reasonable perforating and lifting process parameters to make the well produce efficiently and develop efficiently.
Experiment Study on the properties of Su-53 fracturing fluid
Authors: Jie Yang
Published: December 2022

The sand carrying performance of the fracturing fluid is one of the decisive properties of the sand laying form of the proppant in the reservoir, and the sand carrying performance of the seven fracturing fluids on appeal is tested according to the Stokes theoretical formula for two melon samples and five viscoelastic surfactant samples. Single-particle sedimentation test and multi-particle sedimentation test were carried out and the fracturing fluid was optimized based on test data.The treatment of fracturing fluid flowback has always been a problem in the industry. In this paper, a redistribution experiment was carried out on 7 samples according to a redistribution method of fracturing flowback fluid, and viscosity was used as the main reference index. The recyclability of each fracturing fluid was compared based on the retention rate; the fracturing fluid with the most recyclability was selected.
Tight gas fracturing productivity calculation model based on gas-water permeability curve
Authors: Tang Jing , Li Longjiang , Ye Fanmao , Liu Chuan
Published: December 2022

Measuring well production per well can not only simplify the process flow, improve economic efficiency, but also reduce the development cost of the oil field. In this paper, a single-well measurement of oil well production is carried out by establishing a capacity calculation model for fracturing straight wells in tight gas reservoirs by means of gas-water phase infiltration curve. According to different permeability and porosity, several representative relative permeability curves are selected for normalization treatment, and then the angle-preserving transformation principle is used, considering the formation stress sensitivity effect and gas slip effect, as well as the stress sensitivity effect in the fracture and the effect of high-speed non-Daxi effect on gas seepage, the quasi-pressure function is introduced, and the capacity calculation model of the fracturing straight well of the tight gas reservoir is established, so as to achieve the calculation of the yield.
The Current Situation and Challenges of Global Carbon Emission Governance
Authors: Hu Yipeng
Published: December 2022

Global climate change is now the most important environmental problem facing the current human need and challenge, and carbon emissions is a very important part of climate change in the, in the world today is indeed a large part of climate change caused by carbon emissions, so this article will research the current climate change under the perspective of international carbon governance issues of current situation and difficulties in major countries in the world. So as to provide countermeasures and suggestions for the next international action and better promote the sustainable development of mankind. This paper mainly uses the SPSS statistical software data correlation analysis, significance analysis and overall descriptive analysis of the research methods. Through study, carbon emissions will indeed have a huge impact on global climate change, carbon emissions from all over the world in different period by the time of the international politics, national and regional economic development, global health and safety, national historical development process and the influence of many factors, such as national policy. At the same time in the foreseeable future, the total carbon emissions of all countries and the world will show a downward trend, and all countries will make concerted efforts to tackle global climate change.
Mechanism of formation and Characteristics of deposition of Cambrian gravity flow in the eastern gucheng area, Tarim Basin
Authors: Bo Yan , Qiang Li , Bin Zhang , Zhang Junlong , He Xiangxiang
Published: December 2022

The Gucheng Cambrian margin and Luoxi Cambrian margin is on both sides of eastern Tarim basin. Base on the analysis of cores,thin sections and seismic data of Luoxi slope areas,this paper systematically studies the formation condition, reservoir characteristics and favorable accumulation factors of gravity flow. The gravity flow sedimentary types include debris flow, high density flow and low density flow, debris flow and high density flow reservoir is better. Hydrothermal reconstruction has active effect on reservoir. There are six phases mound-beaches develop in platform margin, reservoir characteristics are algae framework dolomite and granular dolomite. Phases of mound-beaches develop to steep slope. Seismic and geochemical data indicate that the mound-beaches are exposed with corrosion characteristics,the platform margin-slope have the requirements of geomorphologie antique and quality reservoir source.
Le linee del tempo, dello spazio e dell’amore. Una lettura di "La geometría del trigo" di Alberto Conejero
Authors: Cassol Alessandro
Published: December 2022

Lo studio prende in esame una recente opera teatrale di Alberto Conejero, La geometría del trigo (prima edizione: 2018; prima rappresentazione: 2019), analizzandone la complessa struttura su più piani temporali e ricostruendone la localizzazione sociale e geografica. Vengono indagate le relazioni tra i sei personaggi che animano la vicenda e si individua nel vincolo tra le diverse generazioni il nucleo tematico centrale dell’opera.
Personalidad, enfermedad y estrategias de sanación del enfermo a través de "A flor de agua" de Luis Miguel Iruela
Authors: Keffa Droh Joël Arnauld
Published: December 2022

Este artículo enfatiza el sufrimiento psicológico y físico del sujeto enfermo a través de la escritura poética del psiquiatra español Luis Miguel Iruela. Analizaremos a través de su escritura poética las dimensiones psicopatológicas del enfermo, o sea, las enfermedades del cuerpo y del espíritu. Y, por otro lado, evidenciaremos las estrategias ideológicas utilizadas por el médico/psiquiatra para facilitar su curación. Para este trabajo utilizaremos las teorías de la psicopatología de Karl Jaspers y la del psicoanálisis de Sigmund Freud con objeto de entender la dimensión del fenómeno patológico y psicológico del enfermo, así como las prácticas terapéuticas o de resistencia a su enfermedad. La intención de este artículo es comprender las formas de sufrimiento que padece el enfermo en el hospital.
COMPARISON OF SUBLINGUAL MISOPROSTOL VERSUS INTRAVENOUS OXYTOCIN FOR REDUCING MEAN BLOOD LOSS AFTER VAGINAL DELIVERY
Authors: KHAN MA , PARVEEN M , SADIQ S , UMAIR RM , KAINAT S
Published: December 2022

Postpartum hemorrhage (PPH) is significantly associated with maternal morbidity and mortality, and many maternal deaths are preventable. Uterine atony is managed through uterotonic agents like prostaglandin F2 alpha (PGF2a), misoprostol, ergometrine and oxytocin and uterine rubbing. This prospective study was designed to compare the role of sublingual misoprostol and IV oxytocin in preventing blood loss after vaginal deliveries. This study was conducted at the Department of Obstetrics & Gynecology, Nishtar Hospital Multan, from 15 February 2021 to 14 August 2021. The study was conducted on 60 patients, 30 in both groups, who were selected through consecutive nonprobability sampling. Subjects were divided into Group A and Group B. 600 µg misoprostol (3 doses of 200 µg) was administered to Group A. 5 IU oxytocin was administered to Group B, with 3.3 IU/min at the beginning with the interval of 20 minutes until regular contractions are achieved. A maximum of 30mU/min oxytocin was infused. Mean blood loss was measured and recorded in proforma. The mean age of the subjects was 29.21 ± 6.07 years. The mean age of Group A was 29.40 ± 5.85 years, while that of Group B was 29.21 ± 6.32 years. Mean PPH blood loss in Group A, and B was 118.97 ± 20.26 ml and 154.13 ± 15.21 ml (P = 0.0001). The mean postpartum blood loss was higher by intravenous oxytocin than by sublingual misoprostol.
Egy közigazgatási sci-fi, vagy a jövő valósága? Úton 2030 felé
Authors: Torma András , Szabó Balázs
Published: December 2022

A közigazgatási munkafolyamatoknak – és azon belül a hatósági eljárás szabályozásának – természetesen megvannak a maga sajátosságai és törvényszerűségei. Azok megfigyelése, számbavétele, rendszerezése és esetleges újragondolása rendkívüli haszonnal kecsegtethet, mint azt az igazgatási munka racionalizálásának története is bizonyítja. A jelen tanulmány két részből áll. Az első, „Ami volt, és ami van” című részben az igazgatási és a közigazgatási munkafolyamatok racionalizálásának külföldi, majd magyar előzményeit tárgyaljuk. Ezt követően elemezzük a magyar közigazgatási hatósági eljárás általános szabályai megalkotásának első állomásától megtett út egyes szakaszainak – 1957, 1981, 2004, 2016 – főbb jellemzőit. A második, „Ami van, és ami lesz, illetve lehet” című részben levonjuk az első részből fakadó következtetéseket és vázoljuk azt, hogy álláspontunk szerint milyen lesz Magyarországon 2030-ban a hatósági eljárás általános szabályozásának gyakorlata. Sci-fi, vagy valóság? Erre a kérdésre igyekszünk hipotetikus választ adni. Nem úgy, ahogyan mások látják, hanem úgy, ahogyan azt mi gondoljuk.
Az eljárások egyszerűsítése és gyorsítása: az engedélyezés és a bejelentés
Authors: Gyurita Rita
Published: December 2022

A versenyképesség növeléséhez szükséges bürokráciacsökkentés, illetve az állampolgárok és a vállalkozások adminisztratív terheinek csökkentése megvalósulásához elengedhetetlen a hatósági eljárások egyszerűsítése és gyorsítása. Ennek egyik eszköze az engedélyhez kötött tevékenységek körének csökkentése. Több, korábban engedélyhez kötött tevékenység esetén az engedélyezési (hatósági) eljárás megszüntetésre került, illetve bejelentési eljárás lépett a helyébe. E tevékenységek megkezdésének és folytatásának már nem feltétele az előzetes beavatkozáson alapuló hatósági jogalkalmazás (engedélyezés), a hatósági eljárás lefolytatása és a hatósági döntés (engedély), elegendő bejelenteni a tevékenység megkezdését és folytatását a hatósághoz. A bejelentés alapján a bejelentő felelőssége a jogszerű és szakszerű tevékenységgyakorlás, melyet a hatóság ellenőriz, illetve felügyel, és utólag beavatkozik jogszabálysértés esetén. Az engedélyezési eljárások vizsgálata kapcsán megfigyelhető egyrészről az engedélyezési eljárások körének csökkentése a bejelentési eljáráshoz képest. Másrészről a közérdek és mások joga, jogos érdeke érvényesítése végett az előzetes beavatkozáson alapuló hatósági jogalkalmazáshoz (engedélyezés) és az ahhoz kapcsolódó jogsértés megelőzése (prevenció) elvének érvényesüléséhez képest hangsúlyosabbá vált a hatósági ellenőrzési, felügyeleti típusú tevékenység, illetve a jogsértés kapcsán az utólagos beavatkozás (szankcionálás stb.). Az engedélyek és a bejelentések tovább differenciálódtak a koronavírus-járvány első hulláma alatt, megjelent az ellenőrzött bejelentés új jogintézményként, mely lehetővé teszi egyes engedélyköteles tevékenységek ellenőrzött bejelentés alapján történő megkezdését és folytatását.
Grasses of ethnomedicinal value in Vidisha district of Madhya Pradesh
Authors: Sahu Brajesh
Published: December 2022

Grasses are, economically, the most important group of plants; they belong to family poaceae and provide major and minor cereals, fodder and raw material of papers, medicine, drugs etc. The tribal and rural people of Vidisha District use different parts of grasses in crude from as cure for many diseases. This paper deals with 18 grass species used in fungal infection, haematuria, urinary diseases, intestinal warm, fever, cough, body ache, wounds, snakebite, gonorrhoea etc.
مشائخ سہرورد اور سماجی بہبود کی متنوع جہات
Authors: Ahmad Saeed
Published: December 2022

Before the arrival of the Sufis, the subcontinent was a field of disbelief, polytheism, oppression and injustice. In the subcontinent, humanity was hiding its face. The political system was chaotic. The kings had enslaved the people. Lawlessness was on the rise. There were walls of hatred between the people.With the death of the husband, the wife had to wash her hands of life by going through the ruthless ritual of satti. Humanity was overwhelmed with sighs and sobs. In this environment, the arrival of Sufis proved to be a breath of fresh air on the land of Subcontinent.

The Sufis, with their good morals, radically changed the condition of the subcontinent. They used good character instead of sword to draw people towards Islam and guide them on the path of guidance. With the arrival of Sufis, the wandering humanity of the subcontinent got guidance. Sufis taught respect for humanity and linked the creatures to the Creator.

This article will examine the aspects of social welfare of Mashaikh e Suharward. This paper will play a key role in eradicating the growing trends and attitudes of hatred, intolerance, prejudice, and extremism. it will also provide a new field of research for ethics and sociology researchers.
ترجمة الاستعارة في القرآن الكريم: تحديات وحلول
Authors: Nawaz Muhammad
Published: December 2022

Translation activity is gaining significance in globalized world as a source to enhancecommunication among multicultural nations. Translation studies as an academic discipline is contributing meaningfully in bridging the linguistic and the cultural gap among languages. The translating metaphors in general and metaphors of the Holy Quran in particular is under research as it is often overlooked in translation studies. However, it can be recognized on the basis of the available main literature related to translation studies that the continued debates, discussions and deliberations over the faithful approaches of translating process versus free and dynamic strategies have produced adequate explanations, useful thoughts and approaches to deal with the text containing metaphors but at the same time it is observed that the general consensus was not provided by translation scholars in this regard.     

This study aims to investigate the challenges that the translators of the Holy Quran encounter while rendering Quran metaphors. In addition, it critically analyses the various approaches towards translating strategies of metaphors in general and Quran metaphors in particular

It highlights the basic reasons which may lead to misunderstanding metaphors of the Holy Quran. This study also focuses to find out to what extent the meanings of the metaphors of the Holy Quran can be conveyed to the readers by adopting various translation strategies. This study also takes the view that there is no principal strategy and approach for translating metaphors of the Holy Quran by pointing to the translating approach of word for word may often lead to unfaithful and unnatural translation of the metaphors of the Holy Quran.

However, this study is an attempt to explore a practical method for translating metaphors of the Holy Quran in a way which helps to communicate the divine message of the Holy Quran by producing an accurate and loyal translation of the metaphors of the Holy Quran as possible without deviations and distortions in the meaning of the Holy Quran.

This study has been concluded with results of analytical study of the translation of Quran metaphors.  The conclusions of the research and some recommendations have been stated at the end of this research.

Keywords: Translation, Strategies, Quran Metaphor, Challenges and Solutions
قرآن پاک کے منظوم تراجم:خطہ پوٹھوہار کے تناظر میں خصوصی مطالعہ
Authors: Ghafoor Abdul Ghafoor , Sajjad Muhammad
Published: December 2022

There are evidences of complete and  partial translations of the Holy Qur’an are found in majority of languages in the world.Most of  the languages in Subcontinent have been privileged with the translations of the Holy Qur’an.In Potohār region,scholars have rendered their services in prose and poetry and they rendered their services  to the word of the God.Rhymed translations of the Holy Qur’an in Potohār are in various forms of poetry like bound verse,blank verse,free verse and ghazal.These rhymed translations are found in Urdu as well as in regional languages. There are two typs of translations found in this region,complete and partial translations.Some of these translations are word to word and some represent Qur’anic teachings.In this article,the attempt is to study the translations of the Holy Qur’an written in Potohār region.The purpose of this study  is to consider the efforts for spread of Qur’anic teachings and their comprehension in Potohār.Moreover,it is to be assessed that who were the personalities who have given services for rhymed translations of the Holy Qur’an in Potohār.Rhymed translations of the Qur’an in Potohār are extinct because of having unavailable and unpublished.Due to these reasons,no researcher have yet conducted introductory and analytiacal study of these translations.The study of rhymed translations of holy Qur’an in the Potohār region is necessary in order to introduce poetic services of the learns persons of Potohār in the field of rhymed translations of the  Holy Qur’an,to gain knowledge about standard and authenticity of these translations?