bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of Slowly Changing Dimension to Dependent Data Mart to Manage Finance Data
Authors: Arvind Singh  , Surya Prakash Pandey
Published: January 2022

Financial institutions face many challenges of managing and marketing campaigns which leads in its data warehouse. The management of marketing campaign leads in dependent data mart with real time updating and recording difficulties especially when many campaigns are running parallel ways. To securing the customers from being contacted too often for sales-based marketing contacts, the concept of novelty skeleton are introduced to clamp the customers who have been targeted in Sales based campaign for a specified time period. During the novelty Frame, the customer cannot be targeted by other Sales based campaign categorized under the same channel. The introduction of novelty skeleton has increased the difficulties of campaign management and data management. The difficulties of data management include timely update and robust storage system of campaign leads. In this paper, we explained represent the concept of slowly changing dimension on dependent data mart and also studied how it can be used in the data mart of financial institutions to update and maintain marketing campaign records of customers.
Malicious Node Detection in Delay Tolerance Network
Authors: Er. Ashu Garg  , Sourav
Published: January 2022

Delay tolerant networks (DTNs), such as sensor networks with scheduled intermittent connectivity, vehicular DTNs that disseminate location-dependent information, and pocket-switched networks that allow humans to communicate without network infrastructure, are highly partitioned networks that may suffer from frequent disconnectivity. In DTNs, the in-transit messages, also named bundles, can be sent over an existing link and buffered at the next hop until the next link in the path appears. This message propagation process is usually referred to as the “store-carry-and-forward” strategy, and the routing is decided in an “opportunistic” fashion.
We aim to evaluate the added effect of the presence of malicious nodes on ad hoc network performance, and determine appropriate measures to detect malicious nodes. A malicious node advertising itself as having a valid route to the destination. With this intension the attacker consumes or intercepts the packet without any forwarding. An attacker can completely modify the packet and generate fake information, this cause the network traffic diverted or dropped. Let H be a malicious node. When H receives a Route Request, it sends back a Route Reply immediately, which constructs the data and can be transmitted by itself with the shortest path. So S receives Route Reply and it is replaced by H->S. then H receives all the data from S. In this research we propose a new assesment based scheme for detection of Malicious Nodes in DTN. And examine different strategies for prevention to malicious nodes as well as Compare out come proposed scheme with the earliest established schemes.
Prediction and Analysis of Paddy Crops Disease in Artificial Intelligence Techniques
Authors: Tanmayee Tushar Parbat  , Rohan Benhal  , Honey Jain  , Dr. Vinayak Musale
Published: January 2022

The survival of human beings is generally based on the proper productivity of agriculture. The paddy plant is considered as a major planting crop in improving the economical level of our country. Nowadays, the yield level of paddy crop might be minimized due to several diseases. Bacteria, fungi, virus and certain harmful insects are the main causative agents for such disease occurrence on the paddy crop. The diseases which affect the early stage of the paddy crops influences in the whole stage of crop cultivation. In early days of agriculture, the manual detection of diseases has been carried out by farmers. Image processing is one of the emerging techniques for identifying and classifying the different types of diseases and it overcomes the issues encountered during the manual detection of diseases. Image processing technique solves several issues involved in the cultivation of crops including, recognition and classification of plant diseases, discrimination of certain weeds and disease forecasting.
Optimal Common Job Block Table (CJBT) to improve the Performance in Hadoop framework
Authors: Pinjari Vali Basha
Published: January 2022

By rapid transformation of technology, huge amount of data (structured data and Un Structured data) is generated every day.  With the aid of 5G technology and IoT the data generated and processed every day is very large. If we dig deeper the data generated approximately 2.5 quintillion bytes.

This data (Big Data) is stored and processed with the help of Hadoop framework. Hadoop framework has two phases for storing and retrieve the data in the network.

Hadoop Distributed file System (HDFS)

Map Reduce algorithm

In the native Hadoop framework, there are some limitations for Map Reduce algorithm. If the same job is repeated again then we have to wait for the results to carry out all the steps in the native Hadoop. This led to wastage of time, resources.  If we improve the capabilities of Name node i.e., maintain Common Job Block Table (CJBT) at Name node will improve the performance. By employing Common Job Block Table will improve the performance by compromising the cost to maintain Common Job Block Table.

Common Job Block Table contains the meta data of files which are repeated again. This will avoid re computations, a smaller number of computations, resource saving and faster processing. The size of Common Job Block Table will keep on increasing, there should be some limit on the size of the table by employing algorithm to keep track of the jobs. The optimal Common Job Block table is derived by employing optimal algorithm at Name node.
Scope and Challenges in Conversational AI using Transformer Models
Authors: Arighna Chakraborty  , Asoke Nath
Published: January 2022

Conversational AI is an interesting problem in the field of Natural Language Processing and combines natural language processing with machine learning. There has been quite a lot of advancements in this field with each new model architecture capable of processing more data, better optimisation and execution, handling more parameters and having higher accuracy and efficiency. This paper discusses various trends and advancements in the field of natural language processing and conversational AI like RNNs and RNN based architectures such as LSTMs, Sequence to Sequence models, and finally, the Transformer networks, the latest in NLP and conversational AI. The authors have given a comparison between the various models discussed in terms of efficiency/accuracy and also discussed the scope and challenges in Transformer models.
Online Shopping : An analysis of contributing factors in TAM
Authors: Amrutia Poonam
Published: January 2022

There has been an exceptional augmentation of online shopping as it provides convenience comfort to customers. The propagation of online shopping has kindled pervasive research to explore which aspects drives consumers for online shopping from consumer and technology oriented view. Online shopping, especially, an online retail sale is becoming increasingly popular. Greatest issue with information technologies is to identify the factors that influence consumers to adopt such systems. Various researchers have added different factors and over the years, the original TAM has been expanded. Hence, the present study has been carried out to explicate most widely accepted factors of technology acceptance model (TAM).
Investigation of Heat Treatment on Mechanical Properties of Medium Carbon Steel
Authors: R. Suresh
Published: January 2022

The effect of various heat treatment operations (annealing, normalizing and hardening) on mechanical properties of medium carbon steel was investigated. The samples were prepared and heat-treated at 770 ºC subsequently was cooled by different quenching media. The mechanical properties of the treated and untreated samples were determined using standard methods. Results showed that the mechanical properties of carbon steel can be changed and improved by various heat treatments. It was also found that the annealed samples has the lowest tensile strength and hardness value and highest ductility, while hardened samples has the highest tensile strength and hardness value and lowest ductility value.
Auto Gear Teeth Burnishing Machine Using Servo Control
Authors: Wategaonkar Ms. Prachi Sanjay
Published: January 2022

A typical vehicle transmission is comprised of between five and six gear sets and a series of gear trains that
allows a driver to control how much power is delivered to the vehicle without changing how fast the engine
runs. This transmission makes noise such as burrs, nicks, high points and heat treat scales are the leading
causes of noise in power transmission. There are many different causes of gear noise, all of them theoretically
preventable. Unfortunately, the prevention methods can be costly, both in equipment and manpower. If the
design of the gear and its application are appropriate, in theory all that is necessary is to have a tight control on
the process of producing the finished gear. In reality, there are many variables that can cause a process, no
matter how well-controlled, to deteriorate, and thus cause errors, some of which will cause a gear to produce
unwanted noise when put to use. The effective way to eliminate this noise the process known as "Gear
Burnishing". The proposed system uses gear shaving cutter as a master for burnishing or deburring operation of
gear teeth with servo mechanism (includes servo motor and servo drivers), Programmable logic controller
(PLC), Human machine interface (HMI) to remove gear inaccuracies and so as to reduce or eliminate
transmission noise and provide more life and reliability to transmissions in vehicles resulted into noise free
vehicles.
Geophysical Survey Report for Textile Park Nandgaon Peth MIDC Area District Amravati (M.S.), India
Authors: Irshad. S. Shaikh
Published: January 2022

Textile industry is one of the major industries in the world that provide employment with no required special skills and play a major role in the economy of many countries. The textile industry utilizes various chemicals and large amount of water during the production process. Colour is the major pollutants present in the effluent from various textile industries. These are highly toxic to living things and have hazardous effect on their health. Thus removal of colour using natural flocculant is a major step towards the protection of natural resources. Coagulation-flocculation is the most widely used method and is applicable for the removal of the colour even at low concentrations. This paper represents the results of investigations carried out for the removal of colour along with SS, DS, TS and COD from waste water by using natural flocculant i.e. Cactus, Aloevera, and combination of Cactus & Aloevera. The colour removal efficiency of flocculant was investigated by batch wise coagulation flocculation method. The effect of various important parameters on the % removal of colour was studied to find the optimum condition for the maximum removal of colour. The parameters like pH, coagulant dose, flocculant dose, coagulant mixing time, coagulant mixing speed, flocculant mixing time, flocculant mixing speed, setting time & concentration of waste water were investigated. These parameters for Cactus were found to be 12, 10 ml/L, 20 ml/L, 2 min, 140 rpm, 15 min, 70 rpm, 6 min, 300 ml/L respectively, for Aloevera were Journal of Water Resource Engineering & Pollution Studies Volume 5 Issue 1 found to be 11.5, 10 ml/L, 100 ml/L, 2 min, 140 rpm, 15 min, 30 rpm, 1 min, 300 ml/L respectively and simultaneously for combination of Cactus & Aloevera were found to be 12, 10 ml/L, 10% + 80% (Cactus + Aloevera dose) ml/L, 2 min, 140 rpm, 25 min, 50 rpm, 10 min, 300 ml/L respectively. These natural flocculants gives maximum colour removal efficiency in the range 85-100%. The colour removal efficiency was found in between 85-100% for all parameters. All the result was validated on the basis of mathematical analysis. All the graphs were fitted to various trend lines out of which polynomial third order curve is best fit to experimental work as the coefficient of correlation (R2 value) is closer to unity.
The Effect of Extra Virgin Olive Oil on Low-Density Lipoprotein Levels in Productive Age Obesity Women in Kendari
Authors: Arimaswati  , Alfath Akbar J. Dundu  , Pranita Aritrina
Published: January 2022

Obesity is one of the burdens of nutritional problems in women of childbearing age due to fat accumulation (adiposity) in the body, thereby increasing the risk of health problems. Obese subjects tend to have high LDL levels, so consuming olive oil every day for one week will experience a decrease in LDL cholesterol and increase antioxidant compounds. Olive oil used in the medical world is a type of extra virgin olive oil (EVOO) that contains monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), omega 3, omega 6, oleic acid (omega 9), vitamin E, vitamin K, palmitic acid, pigments, phenolic, squalene. This study was a quasi-experimental study with a pretest-posttest approach without a control group. The independent variable was 30 ml extra virgin olive oil (EVOO) for 21 days in obese women of productive age in Kendari. The results of this study obtained a p-value of 0.112. Extra virgin olive oil has no effect on LDL levels in obese women of productive age in Kendari.
Machine Learning Model Approaches for Price Prediction in Coffee Market using Linear Regression, XGB, and LSTM Techniques
Authors: Tesyon Korjo Hwase  , Abdul Joseph Fofanah
Published: January 2022

Investors and other business persons have a desire to know about the future market price because, if the investors know about the future price of a certain commodity or stock it will help them to make appropriate business decisions and they can also get profit out of their investment. There are many previous researches that has been done on stock market predictions but there is no related research that has been done on Ethiopia commodity exchange (ECX). Performing future price prediction with better accuracy and performing comparative analysis between the algorithms for two of Ethiopia commodity exchange (ECX) items which are Coffee and Sesame as the research key objectives. Three different types of prediction algorithms to predict the future price, such as Linear Regression (LR), Extreme Gradient Boosting (XGB), Long Short-Term Memory (LSTM) was utilized. There are limited researches worked on price prediction of ECX items specifically, the idea of the price prediction on different Stock markets like New York stock market Exchange and other commodity market items prediction in order to develop our research in ECX was presented. The study apart from predicting the future price, comparative analysis was implemented between the prediction algorithms that we used based on their performance. Two different datasets from ECX: coffee and sesame were used. The reason for the utilization of these datasets is, the commodity items are the largest export items in Ethiopia which makes them very important for Ethiopian economy, and the different datasets helps us to get the advantage of evaluating the algorithms with different number of datasets, since sesame dataset has 7205 instances and coffee dataset has 1540 instances and both of them has 11 attributes. We build an android application in order two implement our algorithms on mobile applications and see if it is possible to implement the prediction algorithms on mobile platforms and make it easy and accessible to users. We call this mobile application Ethiopia Coffee Prices Predictor (ECPP). This application will be used to display the prediction result of Ethiopia Coffee price for short period and it is designed in the way to be user friendly. The programming environment used to implement the prediction algorithms is python, java programming language to design our android application and we used PHP to implement the API, and finally we used MySQL database in order to store information’s online and make them accessible everywhere.
Survey on Antibiotics - Usage Patterns, Perceptions, Common Side Effects and Knowledge and General Awareness on Antibiotic Resistance
Authors: Jain Karishma  , Verma Aditi  , Jain Ansh  , Gupta Hajra  , Manoti Neha  , Rathod Sejal
Published: January 2022

Antibiotic use in India has risen sharply, with about a 30% increase in their per capita use during the past decade. There is a significant amount of antibiotic abuse, self-medication, myths, and so on among the locals, which has led to the global problem of antibiotic resistance. As a result, the aim of this study was to assess the general public's level of knowledge and general awareness about antibiotics and its resistance. Questionnaire was designed as per our aim and was circulated randomly between 11th of February, 2021 and the 4th of March, 2021. The responses provided in the spreadsheet were later classified based on the demographic factors considered in our analysis. Later, feedback for proper practices was sent via email to their provided email address. Response rate: 95% (n=380/400) was achieved. According to the outcomes we obtained, the majority of respondents (290 out of 380) had learned of an antibiotic from a doctor or other medical professional. When asked to choose antibiotics from a list of medications, the Science stream had a higher proportion of correct responses. A substantial portion of the population had the misconceptions that taking antibiotics would weaken their bodies (n=142/380) or that antibiotics could differentiate between beneficial and harmful bacteria (n=136/380). The majority of allergies in the general population were caused by Sulpha-containing antibiotics, accounting for 55% of all allergy cases. According to the report, more than half of the population, or 69%, decided to discontinue after experiencing side effects. Respondents were asked if they knew about the antibiotic resistance to evaluate whether they are having the correct knowledge. Out of n=380 respondents, n=273 chose the correct choice. When asked whether acne medication causes resistance, only 19% chose the correct response, i.e. ‘Yes.' When asked about their views on preventing antibiotic resistance, n=244/380 responded to 'Safe food consumption and preparation,' n=152/380 responded to 'Know the signs,' and n=160/380 responded to 'Prevent infections’, all of which are right practices. Considerable part of the population is unaware about the antibiotic resistance problem which is now a global issue. Substantial part of the population is unaware about the practices to be followed to control this problem. Hence, there is dire need to spread awareness regarding the same.
Twitter Sentiment Analysis on Government Law Using Real Time Data
Authors: Sujata Patil  , Bhavesh Wagh  , Aditya Bhinge  , Aakash Sahal  , Prof. Madhav Ingale
Published: January 2022

Social media monitoring has been growing day by day so analyzing social data plays an important role in knowing people's behavior. So we are analyzing Social data such as Twitter Tweets using sentiment analysis which checks the opinion of people related to government schemes that are announced by the Central Government. This paper-based is on social media Twitter datasets of particular schemes and their polarity of sentiments. The popularity of the Internet has been rapidly increased. Sentiment analysis and opinion mining is the field of study that analyses people's opinions, sentiments, evaluations, attitudes, and emotions from written language. User-generated content is highly generated by users. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. It is difficult to analyze or summarize user-generated content. Most of the users write their opinions, thoughts on blogs, social media sites, E-commerce sites, etc. So these contents are very important for individuals, industry, government, and research work to make decisions. This Sentiment analysis and opinion mining research is a hot research area that comes under Natural Language processing. We plot and calculate numbers of positive, negative, and neutral tweets from each event.
Insilico Search for Potential DNA Binding Domain of Human Zinc Finger Protein Sp1
Authors: Sirisha Kaniganti
Published: January 2022

Specificity protein 1 (Sp1) belongs to a family of ubiquitously expressed, C2H2-type zinc finger-containing DNA binding proteins that activate or repress transcription of many genes in response to physiological and pathological stimuli. Specificity protein 1 is considered to be a constitutively expressed transcription factor and has been implicated in the regulation of a wide variety of housekeeping genes, tissue-specific genes, and genes involved in the regulation of growth. In order to determine the binding affinity of Sp1 zinc finger domains, the total energy for each and every possible combination of GC box and Zn finger motifs using Hex server, Model IT software’s is calculated. According to the findings of this study, the design of multi-zinc finger proteins with a variety of sequence specificities will be easier to accomplish. Among the three motifs present in Specificity protein 1, motifs 1 and 2 have higher binding affinity than motif 3.
Monitoring of Turbidity Variation in the Ukai Reservoir, Gujarat, INDIA, during 1993-2018 using Landsat Series of Dataset
Authors: V. Pompapathi  , Shard Chander  , Ashwin Gujrati  , H.A. Solanki  , R. P. Singh
Published: January 2022

Turbidity is one of the important water quality parameters, which is required to understand the eco-hydrological process such as a trophic state of water, soil erosion into the river system, mixing of other water sources, runoff, discharge etc. An algorithm has been developed to estimate the turbidity (in NTU: Nephelometric Turbidity Unit) over inland waters using Red band of optical multispectral dataset. Field measurements were carried out over Ukai reservoir for 27-28th March 2018 for pre monsoon and 27-30th September 2018 for post monsoon seasons, sampling sites ranging from turbid to clear water. Where in situ water leaving reflectance and turbidity were measured. Model was derived between in situ measured turbidity and spectral reflectance of Red band of Landsat series of datasets includes Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI) data from 1993-2018. The model was applied to derive the turbidity maps of Ukai reservoir for pre-monsoon (March, April and May months) season and post monsoon (September, October and November months) seasons. Overall turbidity was in the range of 1.47-25 NTU during the field data collection for both pre and post monsoon seasons. To investigate the results in detail, the reservoir was divided into three parts, i.e. Down (A), Middle (B) and Up Streams (C). The water was relatively clear in the downstream portion with average turbidity less than 5 NTU over the study period. While maximum turbidity was observed in the upstream portion with values more than 20 NTU. In the middle portion, the turbidity values were fluctuating within the range 4-13 NTU with an average value of 6 NTU. These turbidity maps can be used to determine underwater light attenuation that has importance in ecosystem modelling.
DWT Based Deflection Optimization in Deck Slab with Free Vibration Analysis
Authors: Nikhil Agrawal  , Dr. Rajeev Chandak
Published: January 2022

This review presents several types of deck slab technologies that have appeared over the last 20 years. The slab is a reinforced concrete slab that can reduce the amount (volume) of voided concrete. However, it has only been used in one way and must be supported by a beam and / or a fixed wall. The idea was to make a deck slab two-axis slab with the same function as a solid slab, but the weight was significantly reduced due to excessive concrete removal.
Response of Occurrence of Winter Weeds to Physico-Chemical Characteristics of Soil of Gandhinagar District, Gujarat, India
Authors: Dr. Binnyben H. Karlikar  , Prof. Hitesh A. Solanki
Published: January 2022

Gandhinagar is the capital city of Gujarat State. The paper deals with the estimation of nutrients (pH, EC, N, P, K, Zn) in soil of different talukas of Gandhinagar district. This district has four talukas with 290 villages and 10 urban habitations in the district. For the study purpose, the entire district was divided into 20 sites. Five sites of each talukas were selected. Total 20 sampling sites were selected to collect samples. The study was carried for a period of 2 year (2011 to 2013). Soil samples were colleted and analysed for their parameters like pH, EC, Nitrate, Phosphorus, Potassium and Zinc (Zn) at monthly. Zn was recorded critical in Mansa and Dehgam taluka and quite low in Kalol taluka. The occurrence types and distribution of Amaranthus viridis L., Achyranthus aspera L., Trianthema portulacastrum L, Boerhavia diffusa L., Cyperus rotundus L., Cynodon dactylon (L.) Pers., Tridex procumbens L., Parthenium hysterophorus L., Euphorbia hirta L., Vernonia cinera (L.) Less., Digera muriata (L.) Mart., Cassia tora L., Chenopodium album L., Portulaca oleracea L. in the study area of Gandhinagar showed relations with the soil in which they occur.
A Study on Differential Characteristics of HSC Containing RHA and M-Sand as an Aggressive Environment
Authors: S. Swarna Manjula  , R. Surya Prakash
Published: January 2022

Concrete is a versatile material and can be extended to applications requiring to perform in aggressive environments. In these environments, concrete should be highly durable for longer service life. The present thesis is an effort directed towards the achieving high performance in concrete by using RHA as supplementary cementitious material. To achieve high Strength in the concrete, it is necessary to have better understanding of the behavior of constituent materials. Thus, the behavior of RHA in concrete in terms of efficiency was assessed through the results available from literature. A mix design method was suggested and a wide range of concretes varying from 85-87Mpa with replacement levels varying from 0 to 15 Percentage were attempted. These concretes could be produced with the mixing, compaction, curing procedures conventionally used and with the available RHA. A maximum strength of about 86Mpa was obtained which compares well or was even better with the results reported hitherto in literature.
Molecular Structure, Vibrational Spectral Studies, NLO Properties and frontier molecular investigations of 2-Chloro-6-Fluoro Benzaldehyde by DFT
Authors: S. K. Tyagi  , Sachin Kumar
Published: January 2022

Benzaldehyde and its derivatives are the simplest in aromatic aldehydes and have wide range of use in different industries. Due to this reason, there exist a vast field of study of substituted benzaldehydes. Quantum mechanical calculations of geometries, energies, vibrational wave numbers and thermodynamic constants have been performed with Gaussian 09 program package using the beece-3-Lee-Yang-Parr- (B3LYP) functional supplemented with the standard 6-31G (DP). The optimized geometrical parameters obtained by computational methods. The thermodynamic properties as heat capacity, entropy and enthalpy of the titled compounds are derived also dipole moment, Polarizability and hyperpolarizability are calculated along with brief study of HOMO-LUMO is done.
The Behavioral Intention in Accessing Digital Healthcare Information on Social Media
Authors: Philomina P. Ofori  , Ethel Asante Antwi  , Adelaide Asante-Oduro
Published: January 2022

Purpose: Social media healthcare is becoming increasingly important in healthcare as many individuals seek healthcare information and support through online social media platforms. Social media healthcare is an emerging field; however, it is not clear what factors influence an individual’s acceptance of its usage. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study explores the factors that influence acceptance of social media usage for healthcare by consumers.
Design/Method: Using a purposive sampling approach, the researchers sent a validated questionnaire link to participants through social media platforms. A total of 260 responses from respondents were analyzed using SmartPLS3.
Results: Analysis of the data revealed that performance expectancy, effort expectancy, social influence, and satisfaction significantly impact consumers’ behavior intention to embrace social media health information. The effect of four identified factors: “PE” (β = .415, t-value = 3.194, p < .001), “EE” (β = -. 3.98, t-value = 2.443, p < .015), “SI” (β = .593, t-value = 3.774, p < .000), “SAT” (β = .312, t-value = 2.676, p < .008).
Conclusions: Social media health is vital to healthcare seekers, especially where it enables consumers to manage their health. On implication, the study provides healthcare givers and professionals insight on how to approach and advance social media healthcare education and interaction with consumers.
Introduction to Cyber Security - A Review
Authors: Pratik Narendra Gulhane  , Yash Vishwas Manwar
Published: January 2022

Cyber Security is a process that’s designed to protect networks and devices from external threats. It is important because it protects all categories of data from theft and damage. This paper addresses Cyber Security, Need of Cyber security and its Measures. In today’s world we found that the amount of threats like data theft, scams, and phishing are increasing day-by-day. So this explains how the cyber security is important while dealing with internet. It can be prevented by following the security measures. To overcome the barriers related to security issues we have to spread awareness about cyber security and its measures. Cyber security is one of the most important aspects of the fast-paced growing digital world. The threats of it are hard to deny, there is no perfect solution for cybercrimes but we should try our best to minimize them.
Dynamic Characteristics of Lifting Pipe on a Retrofitted Mining Vessel
Authors: Duan Fei , Liu Yuliang
Published: January 2022

Lifting pipe used in deep ocean mining is the tool to transport mineral from seabed to vessel. In this study, a vessel was retrofitted as an experimental ship for deep ocean mining with a U-type lifting pipe installed on the right side of vessel. Assuming pipe as a rigid structure, the impact of pipe on movements of vessel were discussed based on frequency domain method for hydrodynamic analysis.
Overview of Exhibition Work of the First Jinan International Biennale
Authors: Mu Wei
Published: January 2022

"Harmony Power: The First Jinan International Biennale" was officially presented on December 12, 2020. The rich and complex varieties of exhibition works are unique in art exhibitions in recent years in Shandong province. This paper summarizes the characteristics of biennale exhibition with summary of the experience of biennale exhibition, hoping to bring some enlightenment for the industry colleagues through the combination of the size of the work, weight, equipment type, quantity, the number of participants, the length of lines in the exhibition, the number of types of construction and other technical parameters based on the biennial exhibition in Shandong Art Museum.
Analysis on the Development Strategy of Traditional Chinese Opera Based on Digital Media Technology
Authors: Lan Lan
Published: January 2022

With the development of the times and the acceleration of urban modernization, a lot of excellent traditional culture gradually fade out of our daily life due to the lack of propaganda and practical application. Against the background of the continuous development of contemporary digital media technology, the development of opera has a ushered in a new era. Chinese traditional opera culture is one of China's excellent traditional culture. The integration with modern digital media technology and analysis of development strategy can bring new visual sense and sensory experience to the current opera culture. Based on the historical background of digital media technology, this paper analyzes the bottlenecks and problems in the development of traditional Chinese opera and the strategies for the application of digital media technology is put forward in the development of traditional Chinese opera with summary of the application strategies of traditional Chinese opera in digital media technology platform and media. It is our hope that the analysis and development strategy of this paper will provide some reference value for the application of digital media technology in the development of opera in the future.
A Refection on Digitalized Creation of Chinese Internet Big Movies in the Context of Internet
Authors: Lei Liang , Ni Kunhao , Cui Ying
Published: January 2022

The 21st century is the era of the Internet, where movies see new vitality in artistic creation under the concept of the Internet+. Internet Big movies, a new type of films born with the advancement of Internet technology, have seen rapid development in less than a decade, having gradually established a mature production model. This paper provides reflection and analysis on the new phenomena in Chinese film production that involve numerous applications of big data technologies.
On the Expressive Techniques and Artistic Conception of Chinese Flute Playing Works
Authors: Tang Zhinuo
Published: January 2022

This paper discusses the performance of Chinese styled works from the perspective of flute playing and the related theories of music aesthetics. As for the technique of music expression, the paper thinks that it is necessary to pay attention to the shaping of music image and the expression of music emotion to realize the unity of music expression and performance skills. In terms of the presentation of meaning and rhyme, it is necessary to highlight artistic conception in the blend of scenes, and reflect the charm through the use of embellish cavity skills and the performance of spiritual temperament.
Art as a Vehicle for Compassion
Authors: Xu Nora
Published: January 2022

I address the range of human experience and emotion in watercolor paintings. Watercolor, much like emotions, is unpredictable and requires special care to harness its infinitely varied and nuanced complexities. Creating such works requires forgiveness in how water and pigment interact, as well as the physical manifestation of subjective experience. These emotional paintings express topics ranging from gender and cultural identity, to mundane life experience. Vulnerability and empathy are required to portray hardship and loss in a manner that honors humanity’s lived experience. Working beyond the boundaries codified by narrative realism, this work seeks to offer a glimpse into the realm of the unknown. My primary themes focus on aspirations, secrets, and dreamlike qualities. For this reason, I call my work ethereal realism. These fleeting moments of inspiration, while difficult to grasp and attuned to distant memories, are fortified through an improvisational painting process. Using subtle symbolism in relation to nature and soft feminine figures, I invite the audience into an alternate space where trauma can be healed, and compassion takes hold. The paintings also make use of negative space, so that viewers can insert themselves in the paintings and infer what might lie beyond humanity. This work does not merely paint a picture of melancholy but opens a window to the divine.
The Role of Contour Line in Painting — an Analysis of Morandi's Still Life Painting
Authors: Liu Jingru , Jin Mengqi
Published: January 2022

In painting, line is one of the basic compositional elements and an important "tool" for artists to express their ideas. The combination of line and color, composition, and shape allows the viewer to feel the author's thoughts, emotions, or distinctive thinking through the picture. Foreign cave paintings, European pre-Renaissance oil paintings and modern paintings, and domestic Dunhuang murals, silk paintings of the Warring States period and cave paintings all show that the contour line has never disappeared despite its different roles in the changing times. Therefore, the artist's generalized expression of contour lines can become a characteristic of the picture that makes the artist stand out.
Fatal Pulmonary Fat Embolism Occurring in Lumbar Spinal Fusion Surgery: Case Report and Review of Literature
Authors: Zhang Lu , Zhang Jie , Cheng Zihui , Kong Lingjie , Wang Liang , Yu Long , He Songyue
Published: January 2022

Fat embolism system is one of the serious complications of orthopedic surgery, which is common seen in cases of severe trauma with long bone fractures. However, in clinical medical practice, it is rarely seen for Fat embolism system in orthopaedic lumbar fusion surgery. This paper report a case of sudden shock and death during lumbar fusion due to lumbar intervertebral disc disease. By forensic pathological examination, the pulmonary and brain fat embolism were observed in tissue sections, and the patient was diagnosed as FES. Based on the review of relevant literature and the pathological findings of this case, the clinical characteristics, diagnosis and treatment of FES in lumbar fusion are commentated in this paper. At the same time, it is emphasized that the clinical practise should strengthened the understanding and attention of non-traumatic fat embolism cases in order to timely identify, diagnose and treat the disease, improve the effectiveness of treatment, and reduce the corresponding medical disputes.
Exploring the Factors that Impact Students' Transitions to University in Australia
Authors: Zhang Fangyao
Published: January 2022

There are prominent gaps in educational opportunities and academic outcomes in the Australian education system. The government has made efforts to narrow the gaps and increase the proportion of Australians with higher education qualifications. However, disadvantaged students still lack access to educational opportunities and resources, and are underrepresented in university populations. This essay explores the influential factors that can affect young people's academic and transition outcomes, which involve students' socioeconomic status (SES) backgrounds, engagement in extra-curricular activities and geographical locations. This essay also mainly draws on Bourdieu's theory on social and cultural capital to explain the associations between those factors and students' transitions to university in Australia.
The Role of Teachers in Intercultural Language Teaching
Authors: Yan Ying
Published: January 2022

This paper analyzes relevant theory about intercultural language learning, the teacher's role in developing critical intercultural pedagogy and changes recommended in intercultural language teaching. In the end, it concludes that the role of teachers is crucial.
The Enlightenment of Marxist Freedom View on Ideological and Political Education in Colleges and Universities
Authors: Wang Shuwei
Published: January 2022

The pursuit of freedom by mankind has a long history. With the continuous and in-depth development of society, people have a deeper understanding of freedom. Freedom is the pursuit of a lifetime for everyone. In modern education, cultivating students to form a correct view on freedom to promote their free and comprehensive development has become one of the goals of education. Among the various ways to explore freedom, the Marxist freedom view is the most important and reasonable one.
Research on Students' Participation Right in Internal Governance of Universities
Authors: Song Tao
Published: January 2022

The state is vigorously promoting the modernization of educational governance ability and governance level and building a high-level university. Students are the basis for the survival and development of the university. Paying attention to students' participation right is the need to adapt to the development of democratic society and promote the modernization of internal governance of the university. The development history of students' participation right has experienced a long process. It is also a key point of the internal reform of colleges and universities and a legal right allocation to balance various stakeholders. Today, with the popularization of higher education, we should pay attention to students' participation right and promote the modernization of university governance system and governance ability.
Differences in Investment Concepts between Chinese and Western Investors from the Cultural Perspective
Authors: Gong Zhiming
Published: January 2022

The investment concept, reflecting the investor's investment purpose and willingness, is a value that embodies the investor's investment personality characteristics, prompts investors to carry out investment analysis, judgment, decision-making, and guides investor behaviors. Due to different maturity of the capital market in China and Western countries, there are many differences in the regulatory level, cultural and behavioral patterns of the supervision and management departments of the capital market between Chinese and Western investment philosophy. This article analyzes the differences in investment ideas between Chinese and Western investors from the culture perspective. This thesis studies on the basis of four cultural differences: "The Golden Mean" and "Interest Maximization"; the face-culture and individualism; rule of man and rule of law; and gambler psychology and adventure spirit. Based on these four aspects of cultural differences, four different investment concepts of Chinese and Western investors are analyzed: long-term investments and short-term speculation; "Herd Effect" and independent decision; grapevines and public information; and leveraged trading and allocation of funds. This thesis adopts several cases to analyze the differences between Chinese and Western investors in financial products such as stocks, gold, and futures, and in investment behavior such as the long-term investment, short-term speculation, leveraged trading, and investment portfolios. With cultural differences between China and the West probed into, the differences between Chinese and Western investors' investment concepts are justified. It is hoped that this effort will help investors deepen the understanding of the capital markets in China and the West, enable Chinese investors to learn the Western mature investment concepts, and facilitate the regulators to manage the capital market effectively.
The Impact of Education Economy on Uzbekistan Based on Public Management
Authors: Zhao Rong
Published: January 2022

In today's economic globalization, education plays an important role in public management. It can not only improve the overall quality of human society, but also a way of cultural communication. This paper mainly introduces the concept of public management and the characteristics of educational economy, and expounds the calculation method of educational economic contribution rate. Then, through investigation and research, this paper finds that there are many factors affecting educational equity. The most direct reason is that the government and schools lack reasonable planning for private schools, resulting in imperfect school facilities and high employment pressure on students; on the other hand, the rapid economic development leads to the shortage of talent supply, which leads to the decline of education quality. At the same time, based on the survey results, this paper finds that the penetration rate of primary and secondary education in Uzbekistan has increased significantly, the cultural level of adults and youth has improved, and gender equality in primary and secondary education opportunities.
Concordância Interobservador no Diagnóstico Citológico de Atipia Escamosa de Significado Indeterminado Favorecendo Lesão de Alto Grau e de Lesão Intraepitelial Escamosa de Alto Grau nas Lesões do Colo Uterino
Authors: Pergo Leopoldo Silocchi , Maffini Cibele Feroldi , Zanine Rita Maira , Collaço Luiz Martins , Sebastião Ana Paula Martins
Published: January 2022

Introdução: O exame de Papanicolau é uma importante ferramenta na triagem do carcinoma do colo uterino. O diagnóstico citológico de atipias celulares escamosas de significado indeterminado favorecendo lesão de alto grau (ASC-H) é a categoria de menor concordância interobservador. Objetivo: Avaliar o grau de concordância interobservador para os diagnósticos de ASC-H e de lesões intraepiteliais escamosas de alto grau (LIEAG) em um hospital terciário e avaliar a capacidade do diagnóstico de ASC-H para predizer lesões de maior grau. Método: Foram coletadas lâminas de pacientes atendidas entre 2007 e 2015 no Serviço de Anatomia Patológica do hospital, com diagnósticos originais de ASC-H ou LIEAG realizados pelo mesmo patologista, colposcopia e biópsia, quando indicadas, pelo mesmo ginecologista. Essas citologias foram posteriormente revisadas por outros dois patologistas separadamente e às cegas. Ambos tiveram acesso a dados sobre idade no momento do diagnóstico para reproduzir o diagnóstico da prática clínica. Resultados: Houve 65,1% de lâminas listadas com ASC-H e 34,9% com LIEAG. As duas revisões concordaram concomitantemente com o diagnóstico original em 54,7%. Os índices kappa para os dois diagnósticos e somente para ASC-H foram, respectivamente, 0,46 e 0,49 (concordâncias moderadas). Das lâminas originalmente interpretadas como ASC-H, 68,3% resultaram em lesões de maior grau na histologia. Conclusão: Os dados mostraram uma concordância moderada entre os patologistas para o diagnóstico de ASC-H. É importante destacar que o diagnóstico de ASC-H correspondeu à lesão de maior grau de malignidade na histologia, demonstrando que essas lesões devem ser seguidas clinicamente como LIEAG.
IMPLEMENTASI PENDIDIKAN KARAKTER DISIPLIN DENGAN MEMBERI IDENTITY CARD DI KELOMPOK A
Authors: Ustman Ahmad Farid , Hanifah Umi
Published: January 2022

This study aims to determine the Discipline Character Education Learning. This research is a qualitative descriptive study. Located at RA Islamiyah Bulaklo. Data were collected by observation, interviews, and documentation. The data that has been collected is checked for validity by source triangulation and technical triangulation. Analyzed with interactive analysis techniques, namely data collection, data reduction, data presentation, and verification or conclusions. Research informants are the head of the foundation, principal, teachers, and guardians of students. The results showed that by giving Id Cards, students could line up neatly, put shoes and bags in their place according to the order on the Identity card which made students more disciplined and patiently waiting for their turn. From this study, it can be concluded that in the implementation of character education for early childhood (4-5 years) at RA Islamiyah Bulaklo in implementing character education using habituation activities starting from the child entering the gate until going home from school. For habituation activities such as marching, praying, memorizing Asmaul Husna, washing hands, and so on, by giving understanding to children, always be patient waiting for their turn according to the number on the Identity Card.