bluuebunny/crossref_metadata_2025 huggingface dataset:
Constitutional Boundaries of the Relationship between the Executive and the Legislative Authorities in the Kuwaiti Constitution
Authors: Salman Hussain Majid
Published: December 2022

Separation between the authorities does not mean the total independence of each authority from the other; rather, it means that power will not be concentrated in the hands of one only. This is because complete separation between authorities cannot be envisaged in practical terms. Also, there are in reality channels of communication between them to allow their cooperation, whether this is between the two legislative and executive powers or their relations with the judicial powers. However, the question to be asked here is: How are those powers distributed in the Kuwaiti Constitution and what is the mechanism of the relationship between those powers? In order to answer this question, the following matters will be examined. This study deals with the relationship between the executive and the legislative authorities and examines the means used by the executive authority towards the national assembly, and then studies the means used by the national assembly towards the executive authority.
SCS373 Valessul: Novo cultivar de Cebola para Santa Catarina
Authors: Alves Daniel Pedrosa , Wamser Gerson Henrique , Araújo Edivânio Rodrigues , Rocha Dediel
Published: December 2022

Resumo – A cebolicultura é uma atividade de elevada importância econômica, gerando emprego e renda para um grande número de famílias, sobretudo para o município de Ituporanga e região. É consensual entre os elos que compõem a cadeia produtiva a necessidade de se obter cultivares que possuam casca com coloração mais escura e firme, melhor capacidade de armazenagem e ciclo precoce. O objetivo deste artigo é descrever o método utilizado no desenvolvimento do SCS373 Valessul, assim como as principais características desse novo cultivar desenvolvido pela Epagri. O cultivar possui ciclo precoce, característica requerida por cerca de 90% dos agricultores da região, além de boa capacidade produtiva. Após oito ciclos de seleção massal, SCS373 Valessul foi selecionado a partir de uma população segregante originada do cruzamento entre dois genitores contrastantes: Empasc 352 Bola Precoce e Epagri 362 Crioula Alto Vale. O cultivar foi protegido junto ao Sistema Nacional de Proteção de Cultivares (SNPC) com o certificado n. 20160234. As sementes básicas devem estar à disposição das empresas produtoras de sementes em 2017; e as sementes para cultivo, à disposição dos agricultores em 2019.Abstract – The onion cultivation has high economic importance, generating jobs and income for a large number of families, especially in Ituporanga-SC and neighboring region. There is consensus among members of the production chain about the need to obtain cultivars with dark and steady- shell, better storage capacity and early cycle. The aim of this paper is to describe the method used in the breeding of SCS 373 Valessul, and the main characteristics of this new cultivar of onion developed by Epagri. The cultivar has early cycle, characteristic required for about 90% of farmers in the region, besides good yield. SCS373 Valessul was selected from a segregating population originated from a cross between two contrasting parents: EMPASC 352 Bola Precoce and Epagri 362 Crioula Alto Vale, after eight mass selection cycles. The cultivar was protected by the National Plant Variety Protection Service (Serviço Nacional de Proteção de Cultivares - SNPC) under certificate n. 20160234, and basic seeds will be available for seed production companies in 2017, and to farmers in 2019.
Modulação da razão sexual de Campoletis flavicincta (Hymenoptera: Ichneumonidae) em criação artificial
Authors: Prado Ribeiro Leandro , Bastos Dequech Sônia Thereza , Pires da Silva Rogério Fernando , Fiuza Lidia Mariana
Published: December 2022

Resumo - O objetivo do presente estudo foi avaliar procedimentos de criação capazes de alterar a razão sexual de Campoletis flavicincta (Hym., Ichneumonidae) em criações massais. Para isso, casais de C. flavicincta, com idade conhecida, foram individualizados e mantidos em condições controladas. Aos parasitoides foram ofertadas lagartas de Spodoptera frugiperda (Lep., Noctuidae) nos seguintes procedimentos de criação, com referência, entre parêntesis, à razão sexual obtida: casais formados 24 horas antes de serem ofertadas as lagartas (0,18) e sem que houvesse período prévio (0,20); oferta de lagartas de 2º (0,19) ou 3º instar (0,18); e idade das fêmeas dos casais de parasitoides: 0-2 dias (0,19), entre 3-6 dias (0,22), de 7-10 dias (0,20) e com idade superior a 10 dias (0,13), sem, contudo, ocorrer diferença significativa entre os tratamentos. Ensaio complementar foi realizado, reunindo-se as condições que propiciaram uma maior proporção de fêmea: casais formados no momento da oferta, oferta de lagartas de se ínstar de S. frugiperda e as fêmeas do parasitoide com idade entre 3-6 dias. Nessas condições, registrou-se razão sexual média de 0,41, sem que fossem alteradas as características biológicas do parasitoide.
Resilience in Widowhood: The Coping Mechanisms against the Social Odds Occasioned by Death of a loved one in Kenya
Authors: Kathenya Lenity K.
Published: December 2022

Widowhood is a subject that has attracted scholarly discourse in the recent past. Widowhood comes as a result of the death of a spouse. Most studies mainly focus on the widows’ negative experiences and forget to document their resilience and the factors contributing to this among certain widows. This study examined widows’ coping mechanisms against the social challenges occasioned by widowhood. The study used the mixed-method research approach in collecting data. The target population was widows aged 18 years and above. The study used a sample size of 50 respondents drawn from the five wards of Tharaka South and Tharaka North Sub-Counties. Qualitative data was collected through in-depth interviews with key informants and focus group discussions. Data were summarized and analyzed thematically. The study established that widows face loneliness, discrimination, lack of support from their in-laws, conflicts, rejection by the community members and intrusions by relatives. To cope with these challenges, avoidance, engagement in economic activities, seeking divine intervention, seeking support from the authorities as well as learning to accept own situation were some of the coping mechanisms employed. Future studies could consider delving into the extent of the role of religion in developing resilience among widows as well as the magnitude of self-realization upon the loss of a loved one.
Ողբերգի ժանրը Շիրակի արդի երաժշտական բանահյուսության մեջ
Authors: Հարությունյան Հասմիկ
Published: December 2022

The article is devoted to the study of modern records of one of the most important genres of Armenian musical folklore, the dirge or mourning songs, which were performed in the Shirak region. Not only genre features were examined, but also those important compositional components that have maintained vital stability over time.
The Sound and Voice of Violent Things: Against the Silence of Data Visualization
Authors: Salciute Civiliene Gabriele
Published: December 2022

An exploration of some of the ways contemporary artists are engaging data through analysis of the work of Fabio Lattanzi Antinori and Nathalie Miebach, who both use data as medium and tool, creating work that challenges the separation of art and science and the devaluation of senses other than sight in both those realms.
Screening of Antimicrobial Activity from Various Pharmaceutical Companies in Iraq
Authors: Atallah Ruaa M. , Al-Awadi Salwa J. , Kalaf Elham A. , Ghaneim Zainab J. , Fahad Maan A.
Published: December 2022

An antimicrobial is an agent that kills microorganisms or stops their growth. Antimicrobial can be classified according to their function, it may be a microbicidal which is an agent that kill microbes, while those that only prevent and stops their growth are named biostatic. Antimicrobial resistance (AMR) is the ability of a microbe to resist the effects of antimicrobial medication that once could successfully treat the microbe by killing or stop its growth. So with the resistance to the antibiotics becoming more and more common and worldwide resulting in need for screening the antimicrobial activity. So in this study we used an evaluation method which is used in many laboratories to screen the activity of antimicrobial agents obtained from a local company and a foreign company on standard microorganism which includes the following (Escherichia coli, staphylococcus aurous, Pseudomonas aeruginosa, Candida albicans) and pathogenic bacteria includes (Escherichia coli, staphylococcus aurous) which obtained from renal infections and tissue burns respectively.  In conclusion the results show that the antibiotic manufactured in the local company Al-Razi in Iraq gave better effectiveness than other foreign companies and the reason for this difference may due to the active chemicals used in manufacturing the antibiotic or due to the manufacturing method.
Design and Fabrication of Smart Traffic Signal Using Arduino Card
Authors: Nuri Sura , Mahmood Sara M. , Abdulrazzaq Omar A. , Abdullah Ahmed A.
Published: December 2022

Traffic jam is becoming a headache in the big cities all over the world, which causes a significant delay for drivers and passengers. A smart on/off traffic signal optimization based on a motion IR Sensor (Infrared) is now a necessity to overcome this problem. This work is a design and implementation of a smart traffic signal (STS) that controls the time of the traffic signals (Red–Yellow–Green) according to the traffic congestion on the road. The STS is designed to imitate a side road (with a low traffic move) with a highway road (with a high traffic move). A motion IR sensor along with an Arduino PIC were installed to automatically control the traffic signals on/off delay times based on the existence of the vehicles on the side road. When the side road is empty, the highway traffic signal is always green (highway–always–on mode). However, when a vehicle reaches the traffic signal in the side road, the motion IR sensor sends a signal to the Arduino card, so that the highway traffic signal turns red, while the side road traffic signal turns green letting the vehicle to pass the intersection. The system will then automatically set back to the highway–always–on mode. The entire system is designed and simulated using Proteus workbench.
Evaluation of Anti-GAD65 and HbA1c Prevalence among Newly Diagnosed Type 1 Diabetes of Some Iraqi Children
Authors: Awchi Diana Wajid , Rasool Suzan Nazar
Published: December 2022

Type 1 diabetes mellitus (T1DM) is a chronic autoimmune illness defined by the gradual and selective destruction pancreatic beta-cells throughout childhood or adolescents. Anti-Glutamic acid decarboxylase 65 (anti-GAD65) is circulating autoantibodies to insulin secreting pancreatic β-cells antigens, and considered as one of the islet cell autoimmunity markers. Hemoglobin A1C (HbA1c) is a blood glucose monitoring measurement that is used as an indication of blood glucose average measurement over a period of several months. According to the significance of prior subjects and in order to have a greater understanding, this study is planned to evaluate the anti-GAD65 and HbA1c frequency and their association among T1DM children. One hundred of new onset T1DM patients consist of males and females with ages ranging from 1-15 years. Blood samples were collected for biochemical and immunological study. The present study results show anti-GAD65 in 87% were with mean concentration (69.03 IU/ml), 14% with mean concentration (3.8 IU/ml) of total T1DM patients. While the results of estimation of HbA1c level in the present study showed a total mean average of HbA1c was (11.22 %) in newly diagnosed T1DM patients. The association between anti-GAD65 and HbA1c showed that positive anti-GAD65 were with (11.75 %) mean level of HbA1c, in compared to (7.66 %) mean level of HbA1c in negative anti-GAD65 T1DM group and that HbA1c levels were significantly higher, according to statistical analysis in positive anti-GAD65 patients than in those who had negative anti-GAD65 at (P < 0.01), suggesting that autoimmunity was found to be involved in glycemic indices reflected by HbA1c levels particularly among very young children who had been developed type 1 diabetes.
A New Technology for Reducing Dynamic Power Consumption in 8-Bit ALU Design
Authors: Hameed Ahmed Lateef , Hameed Maan , Hasan Raed Abdulkareem
Published: December 2022

Clock gating is an effective way to decrease dissipated power in synchronous design. The most effective way to do this is by masking the clock that turns toward the unused part of design. In this paper, a comparative evaluation of power consumption in existing clock gating techniques in Arithmetic Logical Unit (ALU) design was achieved. an innovative signal clock gating method offers extra immunity in the direction of the present issue in an accessible mechanism. A Gated Clock Generation designs using a tri-state connection and logic gate, generated by the set of bubbled input with NAND gate, is used for the latest suggested clock gating. This design saves power even when the clock is at applying to the target module. Complete power analysis reveals that the proposed technique has an effect on the dynamic power that decreases total power consumption up to 24.90% relative to traditional power.  All experiments are done in arithmetic logic unit design. 130 nm standard logic libraries have been used for implementation in order to achieve ALU frameworks. The ALU design architecture was developed using the Verilog HDL, and the simulations are performed utilizing ModelSim-Altera 10.0c (Quartus II 11.1) Starter Version.
Preparation of Phosphate Coating Solution to Increase the Corrosion Resistance of Carbon Steel in Ambient Conditions
Authors: Ali Dhafer Fezaa , Abdulkarim Abdullah Adnan , Mahdi Yosra Mohammed , Ahmad Omar Akram
Published: December 2022

In this work, different zinc phosphating solutions were prepared using sodium phosphate (Na3PO4), sodium nitrate (NaNO3), and nickel carbonate (NiCO3) as accelerators. NaNO3 concentration was ranged from 20 to 80 g/L. While the NiCO3 concentration ranged from 1 to 15 g/L. To identify the interactions between the NaNO3and NiCO3, mixed accelerators were also investigated. Corrosion inspection of the metal surface was tested using potentiostatic experiments. Portable camera microscope was used to capture the surface images of coated samples.  The experimental investigations revealed that the immersion time of 10 min significantly enhanced the corrosion tendency of all accelerators. It was noticed that the corrosion resistance was enhanced with more concentration of NaNO3in the phosphate solution and reached their maximum protection at 80 g/L. While 1 g/L of NiCO3 in solution (which represents the lower value), exhibited higher protection against corrosion. Mixed accelerators resulted in smaller grain size with lower corrosion current (1.83 mA) at 80 g/L and 5 g/L of NaNO3 and NiCO3, respectively. It was also found that chromic acid concentration significantly affected the corrosion resistance.
Comparison of carbamazepine alone and in combination with baclofen in trigeminal neuralgia
Authors: Rehman Erum , Umar Amna , Zafar Shafaq , Javaid Amber , Nasim Riaz , Younas Muhammad
Published: December 2022

Introduction: Trigeminal neuralgia is a type of neuropathic facial pain that is characterized by unilateral paroxysmal pain that affects one or more trigeminal nerve divisions and is brought on by unimportant stimuli. People over the age of 40 are more likely to get it, and women are more frequently affected than males. Trigeminal neuralgia has been treated with a variety of drugs, including carbamazepine, oxcarbazepine, baclofen, lamotrigine, levetiracetam, gabapentin, sodium valproate, botulinum toxin-A injection, and surgical. OBJECTIVES: The current study's objective was to assess the efficacy of carbamazepine in treating trigeminal neuralgia in individuals both on its own and in combination with baclofen. METHODS: A randomized control trial was conductedat Khyber College of Dentistry and Peshawar Dental College among the patients of trigeminal neuralgia presenting to OPD. Total 60patients were randomly selected into two groups, each group had 30 patients.Carbamazepine was given to the Group A in the dose range of 300-600mg TDSwhereas, Carbamazepine 300mg TDS along with Baclofen in the dose range of 10-20 mg B.D was given to Group B. The two groups were given the drugs for a period of thirty days. The data was collected through a self-structuredquestionnaire.
Complexo hiperplasia endometrial cística (CHEC)- piometra de coto uma revisão bibliográfica
Authors: Hobold Carolini , Cardoso Ewerton , Souza Flávia Coelho de , Tonon Laura Veira , Rychesck Mateus , Warmiling Bruna
Published: December 2022

O complexo hiperplasia endometrial cística (CHEC) é uma resposta exagerada do endométrio uterino frente à estimulação progesterônica crônica resultando no acúmulo de exsudato no lúmen uterino. O processo inflamatório, o qual ocorre no útero é descrito como uma reação exacerbada do endométrio à liberação repetida de progesterona,provocado pelos altos níveis de estrógeno, o responsável por manter o relaxamento cervical por mais tempo na fase lútea, resultando no acúmulo de fluidos nas glândulas ou na cavidade uterina.A piometra de coto ocorre semelhante a piometra clássica, porém é desencadeada pela Síndrome do Ovário Remanescente(SRO), ou seja, a não remoção total de tecidos ovarianos.O tecido ovariano retido pode se implantar na cavidade abdominal e vascularizar, mantendo assim a sua funcionalidade e secreção de estrógeno e progesterona. Tal produção pode ocorrer de forma cíclica, estimulando o endométrio remanescente, levando ao acúmulo de líquidos dentro do coto e predispondo a fêmea a uma infecção no diestro. A presença da progesterona pode ainda ser de medicamentos que tem a progesterona como fonte, tais fármacos são usados para tratamento de dermatites e incontinência urinária. Conclusão .O tratamento instaurado deve ser imediato e preciso, visto que a afecção nos casos mais graves pode desenvolver quadros de endotoxemia ou sepse a qualquer momento.
Review of RSSI-based Positioning Algorithm and Accuracy
Authors: Wu Tianhao
Published: December 2022

The demand for high-precision, low-cost, and widely used wireless sensor network positioning technology continues to increase, and the algorithms for positioning using wireless sensor networks have been suffering from the problem of insufficient accuracy. This paper introduces and analyzes the steps and principles of the RSSI algorithm, which has low hardware requirements and can achieve high accuracy positioning, and describes the mathematical model and related algorithms used. Finally, we conclude and provide an outlook on the future and development of RSSI.
Hybrid Attention Fusion in Dense Crowd Counting
Authors: Han Suyu
Published: December 2022

One of appealing approaches to guiding deep parameter optimization, is attentional supervision, which inspires intelligence in complex networks at a fraction of the cost, but there is still room for improvement. First, the real dense scene with varying scales and uneven density distribution of human heads, the density map cannot be clearly expressed. Second, the heavily occluded areas are extremely similar to the complex background, which further aggravates the counting error. Therefore, we propose a dual-track attention network that distinguishes between global and local information, which is responsible for the target overlap and background confusion problems, respectively, and finally converges and normalizes with the feature map to transform the multi-channel attention map into a single-channel density map. Meanwhile the heterogeneous pyramid design alleviates the distress of scale variation and density dissimilarity. Experiments on several official datasets prove the effectiveness of the scheme to enhance key information and overcome confounding factors.
Logistics Performance Evaluation in West Africa
Authors: Wang Guangsheng , Lei Zhiyi , Yu Tong , Zhang Cheng , Sun Haijun , Sousa Jéssica Saturnino Sabino de
Published: December 2022

With containerization and supply chains stimulating global trade each country has to apply measures and new strategies in order to maintain or develop a relevant position in this area. West Africa have now the support and financial power to reach their full potential. By betting in infrastructure reform and resource integration, West African countries might achieve the desired goal of construction, industrialization and a better layout of sea and airports that enables the interconnection of transportation infrastructures. Therefore, this thesis research focuses on the study and optimization of logistics performance evaluation through West Africa. Firstly, evaluating the current status of the logistics system in West Africa. Secondly, since the problem is complex and dynamic, to ensure the evaluation is successful, this research will mainly analyze and focus on the central logistics crossing the West African region; assess the intra-regional logistics systems and develop the logistics systems based on the importance of coastal ports, roads, railways and waterways present in the key geographical points. Lastly, by crossing the actual West African regional statistics with past data and outlooks, a reliable source of information will help establish an optimal futuristic expectation.
Small pedestrian target detection based on YOLOv5
Authors: Zhang Ziyi , Ding Xuewen
Published: December 2022

YOLOv5s is the network with the smallest depth and feature map width and the fastest image inference, but when applied to small pedestrian target detection in complex scenes, the detection still suffers from wrong and missed detections. To address this problem, an improved model based on YOLOv5s is proposed with the addition of a new convolutional neural module, SPD-Conv, which improves the accuracy of the network in detection tasks of low-resolution images or smaller objects. The improved YOLOv5s-SPD model obtained better detection results compared with the original network model, with an average accuracy improvement of 3.9% and an increase in mAP value of about 9.9%.
Investigation report of aero engine air die hole processing
Authors: Yu Li , Zhao Chenlei , Yang Yong , Wu Shenghong
Published: December 2022

At present, there are a variety of problems in the aerospace manufacturing industry, especially the machining of aero-engine air film holes. In this paper, by investigating the current research status of aero-engine gas film hole machining at home and abroad, the characteristics and difficulties of the current gas film hole machining are introduced, and the comparison between ordinary laser machining and femtosecond laser machining is made.
Research on aluminum defect classification algorithm based on deep learning with attention mechanism
Authors: Zhang Wen , Sun Shibao , Yang Huanjing
Published: December 2022

Product quality is an important indicator for determining the quality of industrial products. Defects on the surface of aluminum profiles are inevitably caused in the actual production process due to the influence of various factors such as environment and equipment, and these defects seriously affect the quality of aluminum profiles. The focus and difficulty of research have shifted to how to quickly and accurately identify and classify surface defects in aluminum profiles. To address this issue, this paper proposes an aluminum defect classification algorithm that uses an attention mechanism in conjunction with the traditional Inception V4 network model for deep learning image classification, to accurately identify and classify aluminum defect areas. Experiments and comparative analysis are performed on the aluminum defect recognition dataset from the Alias Tianchi platform, and the results show that the algorithm with the addition of the attention mechanism improves accuracy by 1.24% over the original model.
Advances in medical knowledge graph construction techniques and applications
Authors: Zhang Zhikang
Published: December 2022

Knowledge graph is a way to present knowledge relations using graphics, which includes two factors, nodes and edges, and can visualize and visualize all concepts and connections between multiple entities in real life. With the advantages of clear expression, flexible structure adjustment and high efficiency, knowledge graphs play an important value for explainable artificial intelligence. The theoretical content and application of knowledge graphs have been rapidly developed by high-tech means such as big data and machine learning, and the improvement of technology has helped knowledge graphs gain more attention in various fields and produce many research results. In this paper, the author focuses on the research of medical knowledge graphs and analyzes the research of scholars in detail.
Detection of Domestic Waste Based on YOLO
Authors: Hou Yaohui
Published: December 2022

Deep learning has increasingly permeated every aspect of our lives. Currently, the economy develops rapidly and the population living in cities grows quickly. In the meanwhile, the amount of domestic waste is constantly rising, and the serious shortage of waste treatment competence has become increasingly prominent. Many cities can only use landfill or incineration to generate electricity for most of the waste, but this is not a long-term solution. In this paper, the YOLO-based domestic waste classification and treatment method are proposed to improve the efficiency of waste treatment.
Design and implementation of automatic packing machine system based on PLC
Authors: Luo Dan
Published: December 2022

In the commodity industry, the commodity packaging machinery products are rich in variety, the shape, nature, packaging requirements of the commodity are very different, and the output is large. In view of the urgent needs of domestic commodity enterprises for all kinds of automatic packaging machines, we design a commodity packaging machine control system to solve the problem. The software system of an automatic packing machine based on PLC is designed in order to improve the automation of the equipment and improve its production efficiency. PLC software control system has greatly improved the production capacity of the equipment, and can ensure the stability of the equipment. In terms of human-computer interaction, it adopts a more intuitive touch screen technology, which makes human-computer interaction more convenient and intuitive, so that workers can better understand the operation of the equipment. The equipment designed by this software system has good stability, convenient and intuitive operating platform, which improves the working performance and efficiency of the packaging machine.
Research on the Fast Construction Method of Basic Geographic Framework of 3D Smart Community
Authors: Ni Jiayu , Huang Baoxiang
Published: December 2022

In order to promote the reform and innovation of social governance system, create "community brain" and build digital twin community in digital space, the hierarchical and household-level three-dimensional basic geographic framework plays the role of data base. Based on the key technologies such as deep learning change monitoring, batch building and rendering of hierarchical household 3D models on the Web side, and multi-source address matching, this paper explores and realizes the technical route of quickly building hierarchical household-level 3D basic geographic framework of 3D smart communities. Through the technique of dynamic rendering monomer, a three-dimensional model visualization platform of oblique photography is built, which effectively integrates various government resources of people, houses, things and things, and realizes socialization, intelligence and specialization of social governance and convenience services.
Analysis of Innovative Design Methods of Contemporary Gannan Furniture from the Perspective of Hakka Culture
Authors: Zhu Luoling , Zhu Xucheng
Published: December 2022

Furniture is the carrier of culture. After nearly 40 years of development, Gannan furniture industry has a huge scale. Gannan Hakka furniture decoration elements have been preserved in the historical development. It is not only a witness to the development of Hakka architectural culture, but also a symbol of the vibrant and innovative quality of Hakka. At the same time, Hakka architectural decorative elements with national characteristics and traditional colors provide more aesthetic elements for furniture design. But on the whole, Gannan furniture design has not formed its own cultural style and characteristics. This paper takes the application of Hakka architectural decoration elements in furniture design as the research angle, and applies the parametric technology to the innovation of elements in Hakka architectural decoration to furniture design. The practical verification shows that the model built by the algorithm of this technology makes the accuracy of design entities increase by 22.14% and the security rate increase by 33.69%. It also optimizes the furniture design method while making Hakka cultural elements get modern application.
Application and research of brand identity design for wedding celebration companies in China
Authors: Peng Yizhe
Published: December 2022

Young people are an important force in the development of the new era. From the point of view of consumption, many reports show that the young generation, mainly the post-90s, is the main force of consumption, and that more diversified and personalised consumption patterns are becoming more and more trendy. In terms of cultural heritage, the official media has also expressed the view that young people are the new force in cultural heritage. With the post-90s and post-95s gradually entering the marriageable age, the distinctive brand wedding celebration services will gain more recognition in the market. Combined with the trend analysis and user demand, wedding celebration enterprises should have more accurate brand positioning and corporate image, so as to win the recognition of target consumers. The subject is the visual image of the brand, focusing on the brand image design of wedding celebration companies to suit the individual needs of the new generation of consumers, to find new ideas for its brand image design, in order to achieve brand rejuvenation, so as to create brand awareness and trust. Focus on brand identity, emphasise uniqueness and rejuvenation, and better serve the new generation of consumers. Wedding celebration companies should take the consumer groups as the first priority, keep up with the times, cultural connotations for the credit backing, to convey the brand culture, design a corporate brand image and corporate services in line with the current generation of consumer groups consumer personality. The project analyses the Four Seasons Wedding Celebration brand from multiple angles and levels, and through research and analysis and creative development, and deepens the design, the brand image design is finally completed.
The Research Insights of He Feiguang’s Anti-Japanese Film
Authors: Qin Hongliang
Published: December 2022

The films of He Feiguang hold a significant place in China's Republican-era film scene, but they have not yet garnered enough scholarly attention. His anti-Japanese films have drawn the most scholarly interest, and the results of that research often fall under the categories of biography, awkwardness as the Other, and artistic features. However, it is essential to expand on the prior study in order to explore this topic fully and broadly, especially in the study of anti-Japanese films.
Research on Ethnic Culture Presentation of Inner Mongolian Film from Multiple Perspectives
Authors: Zhou Xiangdong , Deng Jing
Published: December 2022

In Inner Mongolian films, heterogeneous culture is not a symbol of consumption to the West/others, but an important medium to explore the true meaning of the national culture. The analysis of Inner Mongolian films from the perspective of landscape aesthetics can give insight into the most distinctive features of The Times. This paper holds that, in terms of story text, Inner Mongolian films is breathing with The Times and sharing the fate with the motherland, constantly reflecting the living conditions of Inner Mongolia people in the great era. In terms of music application, Inner Mongolian films adhere to the "imported", integrate the characteristic music of other nationalities, and apply it in an innovative way, presenting a brand new musical cultural landscape. In terms of belief, Inner Mongolian films express the deepest cultural concept of the nation by presenting a series of folk culture with a cold gaze attitude. In the course of more than 70 years of creation, Inner Mongolia has built a unique cultural landscape in the history of Chinese films.
Study on the structure and filtration properties of intercalated melt blown nonwoven materials
Authors: Chen Nuo
Published: December 2022

Based on the traditional melt blown process, PET high crimp elastic staple fibers were added to construct an intercalated melt blown two-component filter material. The changes in structure and filter performance of the material before and after intercalation, and whether the intercalation rate had any effect on these changes were analyzed in this paper. The results showed that the intercalation operation was carried out to solve the problems of poor compression resilience of single melt blown nonwoven material and high filtration resistance of existing filtration materials. A multivariate nonlinear model was developed in this paper to investigate the variation of the product structure under different technological parameters, and a mathematical expression between them was given. A random forest model was used to investigate the variation of product performance under different product structures. Using a combination of multivariate nonlinear model and random forest model, the values of the technological parameters, when the filtration performance was maximum were explored. It can be used as a guide for melt blown nonwoven material production.
Research on composition analysis and identification of ancient glass products related modeling
Authors: Jiang Tengfei , Wang Shuwen , Liu Fa , Guo Rui
Published: December 2022

In this paper, in order to solve the problem that ancient glass would be weathered by the environmental influence during the burial process, and its chemical elements would change accordingly, based on Chi-square test and Spearman correlation coefficient analysis, the relationship between the types of glass relics and chemical components was analyzed, and the corresponding relationship was obtained.Then, the glass relics were classified and predicted by decision tree and random forest algorithm, and the classification and prediction results were given.
Research on performance control of intercalated meltblown nonwovens based on neural network and grey relational analysis
Authors: Wang Guoqiang , Tao Yingtao , Sun Heng
Published: December 2022

In this paper, aiming at the performance of intercalated meltblown nonwoven materials, the relationship between its process parameters, structural variables and product performance is explored, and the product performance can be optimized by changing the process parameters through regression, planning and other methods. The results of grey correlation analysis showed that the intercalation rate had a significant effect on both structural variables and product properties. According to the results of the multivariate nonlinear regression model, the ideal maximum cleaning efficiency can reach 99.7%. Finally, in order to explore when the influencing factors such as acceptance distance, hot air speed, thickness, and compression rebound rate are limited, to achieve the goal of achieving the highest filtering efficiency and the smallest filtering resistance as possible, the machine learning method is used, and random forest is selected as the regression model, build samples and make predictions, and finally get the optimal value of the acceptance distance of 21 cm and the hot air speed of 1580 r/min.
Analysis and identification of ancient glass components based on qualitative-quantitative data mining
Authors: Xu Jiaqi , Xu Yifeng , Wan Yuan
Published: December 2022

First of all, the data is visualized by grouping the data in the form and drawing a scatter diagram. By observing the distribution of the data in the scatter plot, the classification indexes of high-potassium glass and lead-barium glass were found. Secondly, the Spearman coefficient is used to test these classification indicators. The results show that the constructed classification system is more accurate, the Spearman coefficient is small, and the fitting effect is excellent. Secondly, through the combination of qualitative and quantitative methods, the cultural relics sub-category classification index was double screened, and the chemical composition of the sub-category classification index was determined by combining the law analyzed from the scatter plot and the index weight solved by the entropy weight method. Then, the high-potassium glass was divided into low-calcium and low-copper group and high-calcium and high-copper group by K-means method. The glass was divided into high copper group, low sodium and high calcium group and high sodium and low calcium group. Finally, all the unknown types of cultural relics in the table are divided into subclasses, and the sensitivity and rationality of the classification system of major classes and subclasses are tested one by one by fitting the known data and calculating the contour coefficient. It is concluded that the classification system has a good fit to the data.
Relationship Analysis COVID-19 Pandemic and cryptocurrency market with Machine Learning
Authors: Wu Haohan
Published: December 2022

The global economy receives a catastrophic blow due to the COVID-19 epidemic, with long-term pessimism shown towards the global market and exponential increasing expectation for looking for a reliable safe-haven asset. Now, it seems the possible alternatives to traditional currencies issued and backed by governments have primarily emerged - in the form of Bitcoin and Ethereum, as well as several other cryptocurrencies. Cryptocurrencies have been on the market for a long time and have been controversial in the international financial markets for their unique properties. Since the outbreak of COVID-19, the price of cryptocurrencies has seen an unprecedented increase. Whether the price increase of cryptocurrencies is linked to the COVID-19 outbreak is a mystery. This paper will focus on exploring this question through a linear regression machine learning model. The data in the U.S.A are used here. Our results show that the price of bitcoin is significantly related to the price of Ethereum. There is some correlation between covid-19 new cases incensement and the price of Bitcoin and Ethereum, indicating the legitimacy of predicting cryptocurrencies’ price using covid-19 new cases incensement as a factor.
The Implementation of Management Information System Under the Impact of COVID-19
Authors: Yu Xinhui
Published: December 2022

In 2019, the outbreak of COVID-19 had a serious negative impact on the development of all levels of society, accelerating the development and frequency of use of management information systems for governments and enterprises. In this paper, the implementation of the management information system (MIS) under the impact of COVID-19 are investigated and discussed. After investigation and research, the MIS can gather, consolidation, store, analysis and maintain information. With the development of the age of big data, the usage of computers instead of manual data processing, management information systems can help staff improve work efficiency. The difference between MIS and traditional information systems is that MIS can not only process data, but also combine data analysis and economic management models to provide users with relevant decision-making information. The emergency capability of the management information system can reduce the work pressure of relevant personnel in data entry and management, it can reduce unnecessary losses. These results shed light on guiding further exploration of MIS in risk management.
RS and GIS based LULC change and water quality monitoring
Authors: Huang Kening
Published: December 2022

Suzhou is one of the major cities in Yangtze River Delta, China. In recent years, severe urbanization has led to serious human-land conflicts between economic development and ecological environment and arable land occupation in Suzhou. Based on GIS and RS technology, this research investigates the composition and changes of the land structure of the LULC in Suzhou at the spatial and temporal scales between 1991 and 2021, and NDTI water quality measures are used to keep track of the turbidity of the water in Taihu Lake and the watersheds surrounding. The results show that the expansion of urban area in the LULC of Suzhou has been mainly at the expense of the reduction of agricultural land, while the urbanization process has slowed down and the ecological environment has been restored to some extent in the last decade due to the government's attention. This study analyzes the changes in LULC in Suzhou over a long-time span and provides decision support for the government's future rational use of land resources and urban planning and management, as well as solutions for maintaining sustainable urban development and ecological balance.
Distribution over time and space of PM2.5 in Beijing- Tianjin- Hebei region and its influence of meteorological factors
Authors: Tan Huayu
Published: December 2022

As the capital economic belt and the political center of China, Beijing-Tianjin-Hebei region has always been faced with the problem of air pollution. In this study, the emission, seasonal and geographical changes of PM2.5 in this region is analyzed with spatial-temporal distribution. It is found that the concentration of PM2.5 shows a spatial distribution of decreasing from southwest to northeast. In winter, the daily average concentration of PM2.5 is significantly higher than that in other seasons. The influence of meteorological factors on PM2.5 in each city is discussed by cluster analysis, and the correlation between these factors and PM2.5 is studied. The results indicate that the daily average precipitation and wind speed are negatively correlated with PM2.5 concentration, while the daily average relative humidity is positively correlated with it. Finally, this study also puts forward suggestions for PM2.5 control in this area according to the types of cities’ PM2.5 discharge affected by meteorological elements.
Review on the Classification of Frozen soil in China
Authors: Hu Xuyan , Fang Lei , Zhong Wenhua
Published: December 2022

The classification of frozen soil is a key issue in the research of frozen soil. At present, there are many existing frozen soil standards in China which have certain differences. This paper compares the principles of frozen soil classification in the existing domestic standards, summarizes the methods of frozen soil classification on the Qinghai-Tibet Plateau which has a special geographical location, and puts forward reasonable suggestions for the classification of frozen soil.
Investigation and Analysis of Pollution Source Status in Shaanxi Section of Weihe River Basin
Authors: Zhang Haiou
Published: December 2022

Building ecological civilization has become a consensus of the whole society. However, problems caused by water pollution and shortage of water resources cause huge economic losses every year. Over the years, the issue of water pollution in the Weihe River has attracted widespread attention from all walks of life. The premise of controlling the water pollution of the Weihe River is to find out the sources of pollution and the amount of pollutants discharged. Therefore, this study takes the Shaanxi section of the Weihe River Basin as the research section, and conducts a basic survey of the water pollution status of the main stream and tributaries of the Weihe River, and analyzes the sources, types and discharges of major wastewater pollutants, so as to provide the basis and basic data for the comprehensive management of the Weihe River Basin.
Influence of Climate Change on Australia Forest Fire and Future Prevention Strategy Analysis
Authors: Li Sinuo , Xu Jinghao , Zhang Qiyu
Published: December 2022

The problem of Australian forest fires has always captured the world’s attention. Each forest fire will bring huge losses. It can be huge death of animals, leading to more animals becoming endangered species, and it causes a high mortality rate. The study is about the impact of climate change on Australia's forest fires. The study contains information about Australia's current climate change and the analysis of the relationship between climate change and forest fires, finding that climate is the main factor for the increasing possibility of the forest fire. The study also includes the measurement used by governments and suggestions to reduce the cost of forest fires. For example, the wide no-fuel or micro-fuel Asset Protection Zone (APZ) can greatly influence the operation and viability of small lands and public reserves. Reducing the use of flammable matter and house density and building residential areas with fire suppression devices are necessary. The study shows the severity of problems caused by climate change and the necessity of fire prevention.
Dominance, diversity and species composition of the weeds of rice crop in Doon Valley
Authors: Sharma Neelam , Singh Lokender , Joshi S. , Manhas Rajesh
Published: December 2022

Weeds have a direct effect on crop yields when they compete with the crop for nutrients, moisture and light. It is found infested with a variety of ways, which compete with the crop and often cause losses in grain yield ranging from 20-30%. During this study dominance, diversity and species composition of the weeds of Rice field in Doon Valley was studied. The study was conducted in the various Villages viz. Babugarh, Doctorganj and Bawanpur of the Vikasnagar block of Doon Valley in the month of August and September. A total of 24 weeds of rice fields were recorded in the selected sites. Lindernia anagallis, Cyperus iria and Echinochloa colona are the dominant weed species in the month of August, with the heighest IVI values (73.36, 57.69 and 67.45) in Babugarh, Doctorganj and Bawanpur respectively. Meanwhile, in September the highest IVI values (65.84, 53.66 and 94.56) were reported for weed species Caesulia axillaris, Cyperus difformis and Fimbristylis miliacea for the selected villages of Vikasnagar block of the Valley. Maximum diversity 2.54 was reported in the village Doctorganj during the month of September.