bluuebunny/crossref_metadata_2025 huggingface dataset:
Technical Report: Tonga volcano eruption
Authors:   United Nations University - Institute for Environment and Human Security (UNU-EHS), Narvaez Liliana , Szarzynski Joerg ,   United Nations University - Institute for Environment and Human Security (UNU-EHS), Sebesvari Zita ,   United Nations University - Institute for Environment and Human Security (UNU-EHS)
Published: December 2022

On 15 January 2022, the Hunga-Tonga-Hunga-Ha'apai volcano eruption was felt across the Pacific Ocean and beyond, releasing energy equivalent to hundreds of Hiroshima nuclear explosions and creating supersonic air pressure waves that were observed from space. In the archipelago Kingdom of Tonga, the ashfall, tsunami and shock waves caused widespread devastation on several islands. The only fibre-optic cable that connects the islands with the rest of the world was severely damaged, leaving the entire country offline for more than three weeks. The case the Hunga Tonga-Hunga Ha’apai volcano eruption showed that the inability to “be online” becomes a vulnerability in the context of extreme events. This technical background report for the 2021/2022 edition of the Interconnected Disaster Risks report analyses the root causes, drivers, impacts and potential solutions for the Tonga volcano eruption through a forensic analysis of academic literature, media articles and expert interviews.
Extraction, Characterization, and Evaluation the Activity of Chia Seed (Salvia hispanica L.) as an Antibacterial for the Treatment of Gingivitis
Authors: Saleh Haneen Esam , Chiad Jamal Salman , Shawkat Sanaa Mohammed
Published: December 2022

This research aims to study the effect of chia seeds extract (Salvia hispanica L.) extracted by the method (alcohol extract with soxhelt and oil extract with a screw) in the treatment of periodontitis (gingiva), where the biological activity was tested against the most important bacteria and fungi that cause gingivitis for both extracts and compared with the control. The results of the current study showed that there is a superiority of the oil extract with a screw device over the alcoholic extract in inhibiting the most important bacteria that cause gingivitis, namely (S.mutans), in addition to other types of bacteria (S. epidermidis, E. coli, S. aureus) and the fungus (C. albicans). Some chemical components (active groups) of the oil extract of chia seeds were detected, and it has been found that they contain many active groups, including tannins, resins, flavonoids... etc. the Toxicity tests of the oily extract was carried out by both methods and it was observed that it was free from it after experimenting with several concentrations (125, 250, 500, and 1000 mg/kg) of body weight on laboratory animals (mice), where The results of the study showed at concentrations (12.5, 25, 50,  and 75%) positive efficacy of both types of oil extract against oral microorganisms through the zone of inhibition and the minimum inhibitory concentration higher of %75 (16mm) for bacteria (S. epidermidis, E. coli, S. aureus)of the oil extract with alcohol and 13 mm for the oil extract with a screw device for bacteria (S. epidermidis) while the highest inhibition was for the second method of extraction against the fungus (C. albicans) where it was 25mm and bacteria (S.mutans) (20mm), that was conducted in the laboratories of Ibn Al-Bitar Center/Industrial Research and Development Authority.
Perforated Tube vs. Soxhlet Apparatus: A New Extraction Tool Confirming by Clove Sample and GC-Mass Analysis
Authors: Khalaf Kafa
Published: December 2022

In this paper, a new efficient extraction tool of bioactives from plant parts was designed, applied, and compared with Soxhlet apparatus. This tool was a Quickfit®- Pyrex® glass tube perforated easily inserted in round flask containing solvent. Clove buds in both non-grinded and grinded form were analyzed by GC-Mass. Our observations were gotten from designing and using perforated tube compared to Soxhlet apparatus for Clove buds’ extraction. It is a simplest tool in designing and handling than Soxhlet apparatus that ensured more contact between Clove buds in their bag and used solvent than Soxhlet. Employing bag sewed from face mask is low cost than high quality Soxhlet - cellulose thimble. Furthermore, this sewed bag can be discharged from its content, cleaned, and reused but expensive cellulose thimble is made for one use. Perforated tube presents a good choice for efficient-short extraction time, minimum sample weight and solvent volume resulting higher quantity of Clove bioactives compared to Soxhlet. By analytical foundations, using grinded Clove gave different qualitative-quantitative analysis of the tested bioactives in the extracted solution compared to non- grinded buds. Eugenol was the major constituent in non- grinded buds while grinded powder gave 2-methoxy-3-(2-propenyl)-phenol as a maximal bioactive. This new tool may be used with less solvent quantity for better continuous extraction series however Soxhlet must be used with more than half flask volume to get fast-efficient extraction. Also, Soxhlet needs direct heating source however perforated tube may be applied in both direct heating and water bath. These notes are important in using low boiling solvent (volatile) for better extraction. Because extraction is not limited to plant parts, this new tool may be used as a general extraction tool. So to guarantee getting higher quantities of volatile constituents with easier steps, perforated tube is an excellent choice.
Heavy Oil Fly Ash as an Adsorbent for Methylene Blue Removal from Aqueous Solution
Authors: Kamil Faten Hameed , Abood Waleed Mohammed , Mohammed Yousra , Khedair Zuhair
Published: December 2022

The industry produces a large amount of solid waste that has very bad effects on the environment. The application of waste material adsorbents for waste materials treatment has become of greater interest. Heavy oil fly ash (HOFA) is hazardous industrial solid waste which produces from the combustion of heavy fuel oil in power plants. The work aims to investigate using waste material heavy oil fly ash (HOFA) after modification to activated carbon (AC) as an adsorbent of methylene blue (MB) in an aqueous solution. Chemical and physical analyses were conducted to characterize the HOFA produced as a by-product of an electrical power station. BET analysis showed the surface area was 1.6 m2/g and the surface area was enhanced by the activation process to 63.7 m2/g and the pore width to 553.5A. SEM showed a change in the nature of the surface of the martial by increasing the porosity. Adsorption studies were performed by batch experiments as a function of process parameters. The removal percentage increased with the increase of the adsorbent to 1.5g, the amount was selected as the optimum dosage. The removal percentage decreased with an increase the entail dye concentration and limited difference in pH variables. The experimental adsorption data was represented with Langmuir, Freundlich, and Tempkin isotherms. The data fitted well to the Freundlich model as multilayer adsorption.
A Review on the Friction Stir Brazing for Joining Dissimilar Materials
Authors: Subhi Akeel Dhahir
Published: December 2022

Friction stir brazing (FSB) is a new technology developed for its ability to join similar and dissimilar metals and alloys resulting in a joint with considerable characteristics through the use of interlayer (braze) material under the action of a pinless rotating tool and other FSB parameters. The frictional heat during FSB is responsible for the melting of the braze material between the two workpieces, while the shoulder action must be satisfactory for the extrusion of the excess braze liquid phase depending on the FSB parameters used. The parameters of FSB also have a considerable impact on the microstructure and mechanical characteristics of friction stir brazed (FSBed) joints. Sound interfacial bonding can be observed in the central zone of FSBed joints, where intermetallic compounds (IMCs) can be formed by direct diffusion among the dissimilar workpieces after extrusion of liquid phase rather than by mechanical mixing or solidification of braze material. Increasing the transverse speed at a constant rotational speed has an influence on the peak temperature, but it remarkably reduces the holding time owing to the increased cooling rate. The use of vibration in the FSB increments the fluidity of the molten braze material among the joining workpieces resulting in a more homogeneous distribution of IMCs particles. In this review article, FSB parameters, bonding mechanisms, as well as the microstructure, and mechanical properties of FSBed joints are reviewed.
Wear Resistance Improvement of Alloy Steel Using Laser Surface Treatment
Authors: Yaseen Sameer Khudhur , Oleiwi Hind Fadhil , Al-Taay H. F.
Published: December 2022

Laser surface heat treatment has been accepted as an effective technique of surface hardening of steels because of the converging of the laser beam by the lens on a tiny spot with a diameter near the value of the laser wavelength, laser surface heat treatment has been an effective way to improve the surface properties of. There are many applications in the industrial of the laser technique. This concentrated a lot of energy into a tiny area, resulting in a lot of heat compared to traditional heating methods. Wear resistance is a surface phenomenon, although it is influenced by elements such as surface hardening, surface condition, and microstructure. In this research, the aNd-YAG laser was used to treat the surface of alloy steel in order to investigate the effects of irradiation on the microstructure, metal surface hardening, and wear resistance. Low surface roughness and increased surface microhardness have been achieved due to the laser pulse indicated (900 Hv). The wear resistance was discovered to be higher due to laser treatment with the selected conditions.
AN INTELLIGENT CYBER SECURITY DETECTION AND RESPONSE PLATFORM
Authors: Zhuo Song , Hong Yang Yu , Palaoag Thelma D.
Published: December 2022

To further solve the cyber security challenges faced by the digital transformation of the Philippines university industry. This paper designed and proposed a cyber security detection and response platform (CSDRP), which can deal with traditional network security problems, improve the network security management capabilities of universities, and provide a method for real-time monitoring of network status and network security response in universities. With the outbreak of the epidemic, many universities in the Philippines have launched online courses and online services. These online courses and online services continue to proliferate, and with them come a host of cyber security risks and hidden dangers.
CSDRP extracts logs through the traffic probes, and the platform performs correlation analysis on many security logs, combines relevant models and machine learning algorithms and generates response logs, which can be responded to and linked with policies, and finally presents relevant threats visually. This study deploys the platform in the actual network environment. The experimental results show that it provides accurate threat warnings, as well as good real-time detection and visualization of cyber threats, and can collect logs from different data sources in real time. linkage of safety equipment.
IDOSOS E A EXECUÇÃO DE ATIVIDADES AVANÇADAS DA VIDA DIÁRIA: REVISÃO INTEGRATIVA DA LITERATURA
Authors: Abreu de Souza Laiza , de Souza Dias Alyne , Lopes de Oliveira Amanda , Dos Santos Reis Jackson , Kron-Rodrigues Meline Rossetto , Naves Dias Ewerton
Published: December 2022

Introdução: A conservação da capacidade funcional dos idosos está diretamente relacionado ao desempenho exercido em atividades cotidianas, dentre elas se destaca as Atividades Avançadas da Vida Diária. Objetivo: descrever as Atividades Avançadas da Vida Diária (AAVDs) em idosos por meio de uma revisão de literatura. Método: trata-se de uma revisão integrativa da literatura nas bases de dados da Biblioteca Virtual da Saúde, Google Acadêmico e Scielo utilizando os descritores “Atividades avançadas de vida diária; Capacidade funcional e Idoso” com buscas realizadas em junho de 2022. Os resultados foram condensados em temáticas e debatidos com a literatura. Resultado: Foram identificados 54 artigos e após a aplicação dos critérios e inclusão e exclusão, a amostra contou com 10 artigos onde, após as análises, foram identificadas três temáticas: Conclusão: Os estudos apontam a avaliação das AAVDs como um forte indicador de qualidade de vida e capacidade funcional em idosos. A adoção de um estilo de vida mais ativo favorece a proteção de funções cognitivas, reduz os riscos de morte e os sintomas depressivos.
Explanation, Narration and Lecture as Teaching Methods – Significant Characteristics of Language and Style
Authors:   Sofia University “St. Kliment Ohridski”, Georgieva Galina
Published: December 2022

Explanation, Narration and Lecture as teaching methods are criticized by many authors and students, but the teachers prefer using these methods. The requirements about the characteristics of language and style for effective use of these methods are too high in contemporary context. Comparative analysis of online survey data collected from two groups of students is presented in this article. The students are from Faculty of Education in Sofia University “St. Kliment Ohridski”. It is revealed their opinion about the cogency, the easy to understand, the imagery and the emotionality when it is necessary for teachers to use Explanation, Narration and Lecture as teaching methods.
Sistem Pemilihan Jurusan Berbasis Web Di SMK Wilayah Brebes
Authors: Putri Rifqoh Febriyanti , Ramdhan Nur Ariesanto , Bachri Otong Syaeful
Published: December 2022

Sesuai dengan kurikulum di Indonesia setiap siswa baru di SMK atau SMA di wajibkan memilih jurusan yang sesuai dengan minat dan bakat yang dipunya untuk pemilihan jurusan yang sangat berpengaruh untuk menentukan masa depan setelah selesai sekolah entah itu melanjutkan ke perguruan tinggi langsung atau bekerja. Penelitian ini akan membantu dalam pemilihan jurusan untuk siswa baru yang ada di SMK/SMA dengan berbasis Web sesuai dari kriteria yang sudah ditentukan terlebih dahulu. Di penelitian ini peneliti menggunakan empat  kriteria yang akan digunakan dalam pengambilan keputusan pemilihan jurusan yaitu minat, bakat, peluang kerja dan fasilitas. Dengan adanya sistem pengambilan keputusan ini diharapkan dapat membantu pengambilan keputusan sesuai dengan tujuan yang ingin dicapai.
Fotoğraf Temelli Film Afişlerinde Renk-Duygu İlişkisinin İncelenmesi: Braveheart, Kıngdom Of Heaven Ve Macbeth Afişleri
Authors: Doğru Mehmet Sefa , Yıldırım Kamil Kerem
Published: December 2022

Grafik tasarım bilgiyi ya da mesajı iletmede bir araç olarak kullanılır. Film afişleri ise bir filmi izlemeden önce film hakkında bir izlenimin oluştuğu ilk tasarımdır. Afişlerin görsel yapılarında olan değişiklikler film hakkında ön izlenim rolü oynar. Diğer biçimsel ögelerin kullanımı kadar renk olgusunun kullanımı da bu anlamlandırma süreci içerisinde büyük önem arz eder. Bu anlatım ve ilgi çekme sürecinde renk ögesinin kullanımı ve renk-duygu ilişkisinin saptanması çalışmanın amacını oluşturur. Temel problem olarak afişlerde kullanılan renklerin filmin içeriğiyle mi yoksa filmin ismine göre mi olduğu sorusundan yola çıkılmıştır. Çalışma fotoğraf temelli savaş filmleri afişleri olan Braveheart, Kingdom of Heaven ve Macbeth üzerinde durmuş, anlamlandırma süreci içerindeki renk kullanımı ve renk-duygu ilişkisini ortaya koymaya çalışmıştır. Bu durumun fotoğraf temelli film afişlerinde kullanılan renklerin frekans değerlerinin saptanarak duygu, durum değişiminde ne gibi bir rol oynadığı araştırılmıştır.
Homomorphic computing of encrypted data outsourcing in cloud data center
Authors: Bao Hao
Published: December 2022

In the era of data explosion, data contains massive information, such as health data, time and place, hydrological waves, etc. In order to process and calculate these data, local Wang networking devices will send data to the cloud data center for outsourcing processing due to their limited storage and computing capabilities. However, our data contains a large amount of private data, so we need to protect the privacy of our outsourced data before outsourcing, so as to protect our personal privacy. At the same time, cloud data centers have strong advantages in data storage and computing capabilities, so cloud data centers are increasingly used.
Lightweight Multi-Attention Fusion Network for Image Super-Resolution
Authors: Wang Xinyu , Zhang Jing
Published: December 2022

Single image super-resolution reconstruction (SISR) is one of the important techniques in computer vision and image processing. Most of the existing SISR methods adopt equal processing for different spatial domains and channel domains, resulting in a large amount of computational resources wasted on unimportant features. In order to address these problems, a novel lightweight multi-attention fusion network (LMAFN) is proposed, in which the multiple attention fusion block allocates computational resources more efficiently by capturing the weight information implied by the channel domain and the spatial domain separately, thus effectively reducing the number of parameters. The synthetic channel attention block in the multiple attention fusion block makes full use of inter-channel correlation by introducing both global standard deviation pooling and maximum pooling. Global features are fused through residual linking to alleviate the problem of high frequency information loss. Experimental results on several benchmark datasets show that the proposed method effectively reduces the number of parameters and computational effort without excessive loss of reconstruction performance, and achieves better performance than the compared models.
Initial Cluster Centers Based on Moving Two Lines Approximation in K-means Algorithm
Authors: Feng Wenyue , Xuan Shuangxia
Published: December 2022

The main shortcoming of K-means clustering algorithm is its great dependence on the initial cluster center point. Based on the moving two lines approximation model, this paper gives a method to pick the initial cluster center of k-means clustering. Numerical experiments and comparison criteria show that this method can get better clustering effect.
Research of BP Neural Network Based on GA-WOA Algorithm Optimization in MBR Membrane Pollution Simulation
Authors: Wang Mengyuan , Li Chunqing
Published: December 2022

For the membrane fouling problem faced by the MBR (Membrane Bio-Reactor) system, an intelligent model is constructed to predict the membrane fouling. The BP neural network has strong self-learning, self-adaptive and generalization capabilities and is widely used in the prediction of MBR membrane pollution, but membrane fouling is a complex dynamic process, which is difficult to simulate accurately by classical mathematical models. Aiming at this problem, the GA-WOA hybrid algorithm was introduced to optimize the BP neural network, and the MBR membrane fouling prediction model was constructed. The simulation results show that the BP neural network model optimized by GA-WOA hybrid algorithm is more suitable and accurate than that optimized by whale optimization algorithm in predicting MBR membrane fouling.
Research on the Application of Artificial Intelligence in Image and Text Database Retrieval
Authors: Huan Junrong
Published: December 2022

In the graphic database, the difficulty of query processing lies in how to query the contents of various data, that is, content-based retrieval, which is an effective means and an important technology to realize multimedia data retrieval. In graphic database, the difficulty of query processing lies in how to query the content based on unformatted data, that is, content-based retrieval, which is an effective means and an important technology to realize multimedia data retrieval. Intelligent information retrieval (IR) system is an intelligent computer IR system, which simulates the thinking process and intelligent activities of human beings about information processing, realizes the storage, retrieval and reasoning of information knowledge, and provides intelligent assistance to users. This paper analyzes the problems of image and text database retrieval driven by big data, explores the application effect of artificial intelligence (AI) in IR driven by big data, promotes the innovation and transformation of modern science and technology, and realizes the sustainable development of our society.
A Review of Facial Expression Recognition
Authors: Lan Jianghai , Lin Guojun
Published: December 2022

With the development of deep learning, deep learning is becoming more and more common for facial recognition. We summarize some widely used public data sets for facial expression recognition; The basic flow of facial expression recognition is briefly introduced. This paper mainly analyzes some existing deep learning methods, especially deep convolutional neural network. The structure analysis and performance comparison of four classical convolutional neural networks (AlexNet, GoogleNet, VGGNet and ResNet) are carried out. Finally, the present research on expression recognition is summarized and prospected.
A Network Intrusion Detection Model Based on Principal Component Analysis and Random Forest
Authors: Yang Le , Chen Hua
Published: December 2022

Network intrusion data has the characteristics of high dimension, nonlinearity and redundancy. To solve the problem of low detection rate of traditional dimensionality reduction and detection methods, a network intrusion detection method based on principal component analysis combined with random forest is proposed. Firstly, the data dimension of network intrusion is reduced by principal component analysis to eliminate redundant information between data, and then the processed data is classified and trained by using random forest classifier. The algorithm is verified by the network intrusion NSL_KDD dataset. The experimental results show that compared with other network intrusion detection methods, the method has fast learning speed, high detection accuracy, low false negative rate and low false positive rate. An efficient, real-time and good network intrusion detection method.
Design and Implementation of Chess and Card Recognition System Based on Deep Learning
Authors: Jin Yong
Published: December 2022

In order to improve the speed and accuracy of mahjong factory packaging detection, the neural network-based chess and card recognition system designed in this paper mainly includes image preprocessing and image recognition. The image preprocessing uses the OpenCV computer vision library to segment the complete chess and cards into individual chess and cards. It is mainly to grayscale the image, use Gaussian blur to denoise the image, calculate the gradient of the image, transform the gradient image into a threshold image, perform morphological operations on the image, and perform contour detection to find the surrounding matrix of the contour. The target and the background can be divided by the vertex coordinates, and a 9x4 grid is superimposed on the divided target image and can be divided into a single mahjong chess card for neural network recognition. Image recognition uses the Vision Transformer neural network. In this paper, we first use the convolution layer to obtain the feature map, and use the feature map as the input of the Vision Transformer. The data set is mainly derived from the shooting of the mobile phone and the image expansion. Here, the image is mainly expanded according to the image brightness, blur and rotation at a certain angle. Finally, the accuracy rate of the model on the test set can reach 98%. Finally, the trained model is deployed on the android mobile terminal using TensorFlow-Lite.
Emotional design in blind box for reference and development of cultural and creative products
Authors: Deng Xinrui
Published: December 2022

This paper will take the design of blind box products, which has risen rapidly in the cultural industry in recent years, as the research object, aiming to analyze its reference and application in the cultural and creative industry. Taking the development status and trend of cultural and creative industry as the background of the research, the psychological and emotional design of blind box products are deeply discussed. By combining development and protection, we will dig deeply into national cultural resources and update the design form of cultural and creative products in the market. Using blind box effect to promote the role played in the development of cultural and cultural entrepreneurship and reasonably adjusting the design of cultural and creative products by means of reference is of practical reference significance for the development, design and marketing of cultural and creative products.
The application of calligraphy art in the environmental design of Jiange ancient city
Authors: Zhang Li
Published: December 2022

Chinese calligraphy art has a long history, bearing the changes of wind and rain for three thousand years, and the ancient city of Jiange has also changed from the Three Kingdoms period of war to the modern society that is changing with each passing day. They bloomed in their respective eras, and today they meet together. As the gateway to northern Sichuan, the ancient city of Jiange, the calligraphy art used in it can better enable people to understand the history of the ancient city and the charm of calligraphy art.
Research on the Influence of Narrative Strategy of Variety Show on the Circulation of Music Industry
Authors: Cao Luhao
Published: December 2022

In the new era, there are many operating elements of the music economy market, including the music market, music consumption, music culture, music industry, and music circulation. In the steady development process of the music economic market in the new era, the circulation of the music industry is affected by many factors, among which, the narrative strategy of music variety shows has more influence on the circulation of the music industry. This paper takes the music variety show " Sound Endless " as the case, selects 1-6 issues of the program as the research text, and chooses narratology as the research theory of the article. It studies the influence of the narrative strategy of the music variety show on the music industry circulation from three aspects, including the narrative subject, narrative structure, and narrative theme, so as to explore a better and more suitable development path of the music circulation, and put forward the corresponding development ideas for the popularity of music.
Visual image exploration of Shiyan characteristic agricultural and sideline products brand exploration
Authors: Li Yangxiaohan
Published: December 2022

Shiyan is a famous national civilized city in northwest Hubei, surrounded by mountains and beautiful environment. There are four distinct seasons and pleasant climate. Shiyan is at the junction of many provinces and cities. In Shiyan, it is not only the famous Taoist holy land Wudang Mountain, but also the characteristic agricultural products of which Shiyan is proud. At present, due to the rapid development of Internet shopping mode, the demand for agricultural and sideline products in Shiyan is also increasing, but the excellent agricultural and sideline products in Shiyan do not have a good brand visual image to match. The first chapter is the preface. The second chapter is the research and analysis of Shiyan characteristic agricultural and sideline products brand, and the third chapter is the discussion and summary of the problems existing in the visual image of Shiyan characteristic agricultural and sideline products brand. The fourth chapter is the corresponding countermeasures for the problems existing in the visual image of Shiyan agricultural and sideline products brand. The purpose is to help Shiyan better start their own characteristics of agricultural and sideline products brand image, promote the further development of the industry.
Phase Structure and Conductivity of Polymer Ceramic Composite Electrolytes Studied by Solid-State NMR
Authors: Wei Ling , Xiao Laifu
Published: December 2022

The influences of nano-Al2O3 on the phase structure and conductivity of PEO/LiCF3SO3 polymer electrolyte complex are discussed in this work. The addition amount of Al2O3 is 0-30wt%. The phase structure of the complex shows complicated changes with the addition of Al2O3. The crystallinity of the complex first decreases when Al2O3 content less than 15wt% then increases when Al2O3 content more than 15wt%. As the addition amount of Al2O3 is 15wt%, the 13C NMR signals from PEO3/LiCF3SO3 crystalline complex and neat crystalline PEO can hardly be seen. The complex obtains the highest ionic conductivity at room temperature when the content of Al2O3 is 15wt% (3.822x10-5 S/cm).
An Approach to The Classification of Ancient Glassware Based on K-Means Clustering Models
Authors: Huang Jiebin , Tang Jinghao
Published: December 2022

The study of ancient glassware can be very helpful by building a sound research model. In this paper, we first counted the data onto different glass categories for their chemical composition and quantified the patterns using the composition variability. Then, seven factor sets were selected based on data saturation and a K-Means clustering model were built to complete the classification of their sub-classifications. Finally, a test of the rationality and sensitivity of the model was completed by feeding the clustering model with noise-added glass component data.
Composition analysis and identification model of glass artifacts
Authors: Pan Huilin , Chen Fuyuan , Hang Wei
Published: December 2022

This paper analyzes the correlation and variability between surface weathering, type, color, decoration, and chemical composition of glass artifacts. Based on the interactions of these five factors, the classified glass artifacts are studied and modeled, and the unclassified glass artifacts are further investigated.
Deployment Optimization Strategies for Electric Vehicle Charging Stations
Authors: Rao Rongkun , Shi Yuanfei , Wang Xiaodong
Published: December 2022

In recent years, with the gradual depletion of fossil energy and increasing environmental pollution, electric vehicles (EVs) have developed rapidly as one of the main substitutes for traditional fuel vehicles. Based on this, this paper firstly establishes a comprehensive optimization objective function including geographic information, charging time and charging amount. On the basis of determining the objective function, a quantum particle swarm optimization algorithm is proposed to solve the problem of optimal charging pile location and its number distribution. Secondly, a prediction model for the spatiotemporal distribution of electric vehicle users' charging demands based on fuzzy inference algorithm was proposed, and the charging load distribution curves of different functional areas were obtained by using Monte Carlo simulation method, which solved the spatiotemporal distribution of users' charging demands. Then, from the perspective of users, and taking into account the two-way cost of vehicle owners and charging station operators, a method of charging station location and capacity based on electric vehicle charging probability model is further proposed, which solves the problem of gradual expansion or reduction of charging piles. Finally, a multi-objective optimization model is established to solve the problem of optimal solutions for charging and battery swapping.
Analysis and identification of ancient glass components based on statistical methods
Authors: Yan Jiajun , Zhang Ling , Li Wei
Published: December 2022

Ancient glass products are prone to weathering, resulting in the exchange of elements, which affects the identification of glass products. In order to solve the problem of determining the significance of surface weathering related factors and predicting the chemical composition before and after weathering, chi-square test was performed after data preprocessing, and the P-value was used to determine whether the relevant factors were significant according to the cross-thermal map.Then, with the help of the bar chart, the characteristics of the data before and after weathering of high potassium and lead and barium were visualized, and the relevant statistical rules were obtained by comparison.According to the mean values of weathering points before and after weathering, the prediction formula was constructed to calculate the content of chemical components before and after weathering, and the rationality was tested.
Ancient glass classification based on data mining methods
Authors: Cao Tianhao , Song Yuying , Han Jiayao , Liu Yong
Published: December 2022

Ancient glass is highly susceptible to weathering by the burial environment, and a large number of internal elements are exchanged with environmental elements, resulting in changes in its composition ratio, which affects the correct determination of its category. In this paper, we analyze the statistical pattern of the chemical composition content of the surface of artifact samples with and without weathering and predict the chemical composition content of artifacts before weathering by combining the types of glass. A random forest algorithm and a support vector machine algorithm are used to classify the glass, and a sensitivity analysis is performed, and the model is robust.
Application Research of CRZ-4PAM Optical Access Signals
Authors: Chen Fuping
Published: December 2022

In this paper, the generation and transmission of chirped return-to-zero 4-ary pulse amplitude modulation (CRZ-4PAM) signals in passive optical networks (PONs) is proposed and investigated. The optical spectra, time-domain phase and chirp change diagrams of CRZ-4PAM signals are measured, and their eye-diagrams before and after transmission are also analyzed. We demonstrate that CRZ-4PAM signals after transmission over 20km single mode fiber (SMF) at 10Gb/s can be directly detected by using one photo detector, and the original data can also be restored by one M-ary threshold detector and one PAM sequence decoder. The results demonstrate that CRZ-4PAM downlink signals can be received effectively at the BER value of 10-6, and exhibits 2.4 dB receiver power penalty compared with the back to back case.
Calculation of Equivalent Uniform Live Load of the Floor in Bus Garage
Authors: Wang Runyi
Published: December 2022

According to the overview of equivalent load calculation of the two-way slab in Appendix C in Load Code for the Design of Building Structures (GB50009-2012), this paper introduces the calculation method of the equivalent uniform live load on the two-way slab in engineering design, providing calculation data for the subsequent force analysis of the whole structure using computer software.
Identification of formation plugging risk- A case study of gas reservoir in Deng4 member of Gaoshiti-Moxi block
Authors: Yi Jin , Luo Hong , Gao Chenxuan , Zhou Minhao , Wang Yukun , Wang Yongqiang
Published: December 2022

Gaoshiti-moxi block of Anyue Gas field is a highly heterogeneous carbonate gas reservoir with low porosity and low permeability. According to the production dynamic data, deng4 gas reservoir in Gaoshiti-Moxi block is blocked to some extent. Combined with reservoir parameters, productivity parameters, gas well production curve, RTA analysis and other means, the cause of plugging in special single well was analyzed. Through various experiments, the composition of the plugging material is analyzed, and the formation mechanism of the plugging material is deduced, which provides a reference for the later gas field development and the research of plugging measures.
How does environmental pollution affect housing price
Authors: Li Yongjian , Shen Yukun
Published: December 2022

Environmental quality and housing prices have become two hot topics closely related to people's lives. When choosing housing, residents pay more and more attention to the quality of the surrounding environment. However, in view of the differences in living standards, there are huge regional differences in economic conditions and air pollution in different regions, resulting in different distributions of immigration rates, and immigration rates have a significant impact on housing prices. This article discusses the difference in immigration rate caused by environmental pollution and its impact on housing prices from a spatial perspective. In this article, we use the GIS system to analyze the impact of environmental pollution on an immigration rate. We use Chicago's immigration rate, economic conditions, pollution and other GIS data to show that environmental pollution is relevant to the immigration rate. People are willing to relocate to areas with low levels of environmental pollution. Then we use the spatial Dubin model to study the impact of environmental pollution on housing prices. We used housing price data, environmental data and other economic data from 258 cities in China from 2008 to 2019. The city data mainly comes from the city statistical yearbook. Environmental data mainly comes from environmental monitoring websites. This paper found that the increase in sulfur dioxide and nitrogen dioxide emissions will significantly reduce prices, while the increase in industrial wastewater emissions has no significant impact on housing prices. In addition, we also investigated the impact of surrounding cities on local prices. The increase in industrial wastewater discharge in surrounding cities has no significant impact on local housing prices, while the increase in environmental gas emissions has no significant impact on local housing prices. Finally, if the residents are assumed to be healthy producers, and the residents' demand-supply curve for health is transformed, it indicates that a place with a good economy in this area is often willing to pay more to maintain their health, or enjoy better medical care, or move to an area with lower air pollution levels. The conclusion of this article is that reducing the level of air pollution plays an important role in increasing the attractiveness of the city and thereby increasing housing prices. Therefore, if government policymakers want to increase the attractiveness of the city and promote economic development, they can start with improving the air quality in the city.
ریاض حسین چودھری کی نعت میں اسلوب و معنویت کا ارتقاء
Authors: Naqashbandi Sarwar Hussain , Mustafa Muhammad Tahir
Published: December 2022

Naatia Poetry has its own history, glossary and traditions. Love and Praise of Prophet (PBUH) is a part of our faith. Hazrat Hassān Bin Thabit R.A. is one of the prominent poets in the era of Prophet (PBUH). Naatia poetry is available in many languages and specially in Urdu language too. We can see samples of Naat from the start of this language. In Pakistan many poets dedicated themselves for the praise of Prophet (PBUH). Every poet known with his style of expression which highlighted in his different ways of writing, like choosing of words, imaginery, creation of peotic lines. Riaz Hussain Ch. is one of the prominent Na'at Poet of Pakistani Naatia circles. He experiments many poetic ways of expressions in his Na'ats. His Na'atia Poetry style is uniqie and versatile. Main part of his Na'atia poetry is in Ghazal tradition, but he also used other form of poetry, like Nazm, Fardiyat, long Nazm, Musadas etc. In this article his style of poetry has been highlighted. Main theme of expression, linguistic approach and its effect on tradition of our Urdu Na'atia poetry.  

Keywords: Na'at, Poetry, Style, Linguistic, Riaz Husain Ch.
A Circularity Mapping Framework for Urban Policymaking
Authors: Beccarello Masimo , Foggia Giacomo Di
Published: December 2022

In the context of urban policies, the circular economy can represent a virtuous model of sustainable and efficient management of resources and services for citizens, generating value for the community. Local policymakers play a central role in accelerating the circular economy transition, given that they organize and manage services that can significantly contribute to urban resilience. For policies to be properly designed, tools aimed at supporting territorial planning are needed to direct local policy towards choices that favor the circular economy and the resilience of cities. Among these urban planning tools, it is particularly important to have dashboards of comparative data on the degree of implementation of the circular economy. This paper provides a circularity mapping framework to map the degree of circularity and identify cities' strengths and weaknesses to design policies accordingly using a data-driven approach. Using a circular economy model based on 5 circular economy pillars, we identified 28 variables and assigned them to each of the pillars according to the variable's scope: sustainable inputs, social sharing, Product as a service, environmental policies, and resource efficiency. Both partial scores based on the five circular economy pillars, and a circularity index are provided for benchmarking and positioning analysis. Since urban life's environmental, economic, and social aspects are intertwined, only an integrated strategy can result in successful urban sustainable development. The paper supports policymakers in creating the conditions for efficient production and consumption markets and resource management systems while designing incentives and communications to citizens to support bottom-up initiatives and encourage virtuous behavior.
Isidro Parga Pondal (1900-1986) y el Instituto Geológico y Minero de España. Una historia de encuentros y desencuentros
Authors: Leonardo Francisco , Rábano Isabel
Published: December 2022

El Laboratorio Xeolóxico de Laxe, fundado por el geoquímico Isidro Parga Pondal en los años 40 del siglo XX, fue un centro relevante para el estudio de la geología gallega, reuniendo a investigadores nacionales y extranjeros. Su antecedente se encuentra en el Laboratorio de Xeoquímica da Universidade e do Seminario de Estudos Galegos, creado también por Parga durante los años 20 en la Universidad de Santiago. En esa fecha comenzó su relación con el Instituto Geológico y Minero de España a través del ingeniero de minas Primitivo Hernández-Sampelayo quien, tras la Guerra Civil y la expulsión de Parga del ámbito universitario, promovió el establecimiento en Galicia de una sede territorial del IGME con Parga al frente. Esto no fue posible, pero sí se llegó a articular la colaboración de Parga con el plan cartográfico a través de la realización de hojas a escala 1:50.000 de Galicia y de la edición de otros mapas. Los problemas detectados por Parga en el diseño del plan cartográfico general del IGME se tradujeron en unos desacuerdos difíciles de superar, que se agravaron ante la imposibilidad de participación del Laboratorio Xeolóxico de Laxe, por motivos administrativos, en el nuevo plan cartográfico a escala 1:50.000 del IGME, el plan MAGNA.
International School
Authors: Bernardo Renata Maria , Emmel Sinara da Silva
Published: December 2022

Como construir uma política de Inclusão para uma escola internacional de período integral? Com a oferta do Primary Years Programme, veio a demanda por um documento que contemplasse ações a serem tomadas para que todos os estudantes tivessem acesso integral ao currículo oferecido. A construção do documento contou com a colaboração de profissionais da pedagogia, psicopedagogia e psicologia. [...]
Escola e família como espaço de escuta atenta diante das habilidades socioemocionais dos estudantes
Authors: Koppe Justine , Köche Viviane , Bohn Juliana Aparecida
Published: December 2022

O papel da escola é desenvolver competências intelectuais, físicas e socioemocionais nos seus alunos. E, para que o estudante busque e conquiste a excelência durante a sua trajetória acadêmica, o espaço escolar precisa contar com uma significativa rede de apoio, e a família é fundamental nesse processo. Mesmo antes da pandemia, e intensificado por ela, as competências socioemocionais dos estudantes têm necessitado de um olhar especial, e é na escola, por ser um dos espaços de maior convívio social na vida da criança e por ser onde acontecem as interações com os pares e com a comunidade escolar, que as fragilidades referentes a essa área se manifestam e se tornam visíveis. Cabe salientar que essas habilidades são desenvolvidas ao longo da vida e do processo de aprendizagem, conectando-se, de forma gradativa, à capacidade de cada indivíduo em gerenciar as suas emoções, em desenvolver autoconhecimento e em se relacionar com o outro, além de colaborar, de mediar conflitos e de solucionar problemas. Portanto, quando a escola busca validar-se como espaço de escuta atenta, auxiliando os educandos na identificação e na nomeação dos seus sentimentos, bem como atender a essas demandas, percebem-se avanços no processo de aprendizagem, possibilitando maior segurança no desempenho e melhor interação social entre os estudantes. [...]
Emoções em nós!
Authors: Lippert Paula Cristiani Schumann , Goldmeyer Marguit Carmem
Published: December 2022

As reflexões e considerações que, no presente texto, serão apresentadas dizem respeito a uma investigação realizada por Paula C. S. Lippert, integrante de uma das trilhas de formação da Rede Sinodal de Educação – Liderança inspiradora: gerando engajamento e performance em tempos de transformações – mediada pela Profª Drª Marguit Goldmeyer. Durante este ano, com o retorno de todos os alunos às aulas presenciais, observaram-se fragilidades mais acentuadas no que tangem às competências socioemocionais das crianças, uma vez que a maioria dos estudantes tem apresentado dificuldade para reconhecer, verbalizar e gerenciar as suas emoções e sentimentos, de ordem intra e/ou interpessoal. A partir dessa constatação, pontuada em reunião pedagógica com os professores do 1º ao 4º ano do Ensino Fundamental do Instituto Sinodal da Paz, foram pensadas e estruturadas intervenções pedagógicas para o aprimoramento da alfabetização emocional. [...]
Professores e gestores de turma
Authors: Hoppe Willian Henrique , Goldmeyer Marguit Carmem
Published: December 2022

Os fios norteadores deste resumo revisitam as discussões desenvolvidas a partir da Trilha 4, intitulada “Liderança inspiradora: gerando engajamento e performance em tempos de transformações”, do Programa de Formação Continuada Trilhas de Aprendizagem, oferecido pela Rede Sinodal de Educação em 2022. A pesquisa foi orientada pela professora Dra. Marguit Goldmeyer. A pandemia da COVID-19 apresentou um dilema que acompanha os processos de ensino e aprendizagem há décadas, e entre eles destacam-se: a necessidade de repensar o papel do professor, aproximando-o da figura de gestor de turma, dando ao estudante maior responsabilidade no que diz respeito ao processo de pesquisa e desenvolvimento de pensamento crítico. Em segundo lugar, está a necessidade de inserir novas tecnologias em sala de aula, seja por meio de ferramentas digitais, seja por meio de novas práticas pedagógicas. [...]