bluuebunny/crossref_metadata_2025 huggingface dataset:
Perceived Collective Continuity: Scale Adaption for the Russian Context
Authors: Terskova M.A. , Bogatyreva N.I. , Ivanov A.A. , Romanova M.O. , Bykov A.O. , Ankushev V.V.
Published: July 2022

This article presents the results of the adaptation of the scale for perceived collective continuity in Russian, the construct of which was initially developed by Sani and colleagues in 2007. The phenomenon of perceived collective continuity reflects the perception of groups as entities that are stable over time and transmit traditions from generation to generation. The perception of collective continuity is based on two main dimensions: perceived cultural continuity (perceived continuity of norms and traditions) and perceived historical continuity (perceived relationship between different historical eras and events). Six hundred thirty-seven Russians took part in testing the methodology. The methodology fit well the empirical data, highlighting the two-factor structure of the construct and validity of its scale. In general, the method of perceived collective continuity demonstrates good psychometric indicators and can be used for research in the field of intergroup relations as a reliable and stable toolkit.
Enhancing the Performance of the Advanced Encryption Standard (AES) Algorithm Using Multiple Substitution Boxes
Authors: Wenceslao, Jr. Felicisimo Villarico
Published: July 2022

This paper proposes for a modified version of the AES algorithm using multiple substitution boxes (S-Boxes).  While many studies have been conducted specifically on modifying the S-Box, these studies were made to replace the Rijndael S-boxes in the AES cipher.  We propose to implement two substitution boxes, where the first S-Box is the Rijndael S-box and will be used as is.  The second S-Box was constructed through an XOR operation and affine transformation and will replace the MixColumns operation within the internal rounds in the cipher.  Based on simulation testing conducted, it was found out that there is a significant difference in the speed performance between the two versions favouring the proposed AES algorithm using multiple S-Box.  The findings also revealed that in both encryption and decryption processes, the AES-2SBox performed more efficiently at 27.638% and 108.369% respectively as compared to the original AES algorithm.  However, when tested using the avalanche effect, the changes in the output bits were below the minimum expected rate.
State of the Art Intrusion Detection System for Cloud Computing
Authors: Ahmad Azuan , Zainudin Wan Shafiuddin , Kama Mohd Nazri , Idris Norbik Bashah , Mohd Saudi Madihah , Zakaria Nur Hafiza
Published: July 2022

The term Cloud computing is not new anymore in computing technology. This form of computing technology previously considered only as marketing term, but today Cloud computing not only provides innovative improvements in resource utilisation but it also creates a new opportunities in data protection mechanisms where the advancement of intrusion detection technologies  are blooming rapidly. From the perspective of security, Cloud computing also introduces concerns about data protection and intrusion detection mechanism. This paper surveys, explores and informs researchers about the latest developed Cloud Intrusion Detection Systems by providing a comprehensive taxonomy and investigating possible solutions to detect intrusions in cloud computing systems. As a result, we provide a comprehensive review of Cloud Intrusion Detection System research, while highlighting the specific properties of Cloud Intrusion Detection System. We also present taxonomy on the key issues in Cloud Intrusion Detection System area and discuss the different approaches taken to solve the issues. We conclude the paper with a critical analysis of challenges that have not fully solved.
Evaluation Method for SDN Network Effectiveness in Next Generation Cellular Networks
Authors: Al-Azzeh Jamil , Mesleh Abdelwadood , Zhengbing Hu , Odarchenko, Roman , Gnatyuk Sergiy , Abakumova Anastasiia
Published: July 2022

5G mobile technology will become the new revolution in the mobile communication market. The new networks will focus on significantly improving the quality of service. The basis for their construction will form SDN networks. Therefore, the work analyzed the advantages and disadvantages of two SDN implementing methods. It was developed mathematical method to assess their complex effectiveness, which consider QoS requirements of implementing service through special weights for scalability, performance and packet delay. There were simulations of Overlay networks by using softswitches to verify the adequacy of the proposed method. The results showed that the use of SDN networks more efficiently by using IP networks for large volumes of traffic and with a large number of network equipment. Also, there were compared the approaches to build SDN management level architecture. Based on the studies and modeling we suggested to use distributed controller architecture because of its higher level of reliability.
BotCap: Machine Learning Approach for Botnet Detection Based on Statistical Features
Authors: Gadelrab Mohammed S. , ElSheikh Muhammad , Ghoneim Mahmoud A. , Rashwan Mohsen
Published: July 2022

In this paper, we describe a detailed approach to develop a botnet detection system using machine learning (ML)techniques. Detecting botnet member hosts, or identifying botnet traffic has been the main subject of manyresearch efforts. This research aims to overcome two serious limitations of current botnet detection systems:First, the need for Deep Packet Inspection-DPI and the need to collect traffic from several infected hosts. Toachieve that, we have analyzed several botware samples of known botnets. Based on this analysis, we haveidentified a set of statistical features that may help to distinguish between benign and botnet malicious traffic.Then, we have carried several machine learning experiments in order to test the suitability of ML techniques andalso to pick a minimal subset of the identified features that provide best detection. We have implemented ourapproach in a tool called BotCap whose test results showed its proven ability to detect individually infected hostsin a local network.
Muti-stage Key Management Scheme for Cluster based WSN
Authors: R Vijaya Saraswathi
Published: July 2022

Secured communication over the Wireless Sensor Network (WSN) is one of the prime concerns nowadays as the wireless communication medium suffers under a wide range of networks. For establishing secured communication over WSN, literature has suggested the key level management protocol, where each transmission is established based on the availability of secured key. This work develops a key management protocol, namely Multi stage key management (MSKM) protocol, for the secured communication over the clustered WSN. The entire protocol is implemented in three stages, such as pre-deployment, key generation, and key authentication and verification. In the first stage, the nodes are provided with the identity, and then, the second stage uses the homomorphic encryption model, for generating the necessary key to the communication. Finally, a mathematical model is developed in this work with several factors, such as a hashing function, homomorphic encryption, dynamic passwords, profile sequence, random number, and EX-OR functions. The proposed MSKM protocol establishes the secured communication over the WSN by authenticating the entities. The entire work is compared with several states of art techniques and evaluated based on several metrics. The proposed MSKM protocol achieved values of 0.122 kb, 0.929, 2.332 kb, and 14.586 joules for the communication overhead, detection accuracy, key memory storage, and energy, respectively.
Security based partner selection in Inter-organizational workflow systems
Authors: Elkandoussi Asmaa Ali , Elbakkali Hanan
Published: July 2022

The creation of inter-organizational workflow implies the coalition of partners' efforts and resources in order to achieve a set of common objectives and goals. However, this openness may cause a huge damage to the participating entities due to security breaches. The risk of unsuccessful collaboration should be well studied. Thus, the key for successful collaboration is to select the appropriate collaborators based on specific security criteria for each outsourced task. In this sense, several criteria have to be considered, among them: trust and reputation level, policy similarity level, security level and privacy compliance level. The proposed security based partner selection approach allows us to rank participating entities in the collaboration based on the main security criteria in order to assign each task to the suitable partner with the most appropriate and efficient way.
Node Activities Learning(NAL)Approach to Build Secure and Privacy-Preserving Routing in Wireless Sensor Networks
Authors: Karanam Ramesh Rao
Published: July 2022

Wireless networks are becoming the most popular in today communication systems, where users prefer to have wireless connectivity regardless of its geographic location. But the open environment of wireless communication increasing threat on the wireless networks under diverse network circumstances. The random and dynamic activity increases the  vulnerability due to the complete dependency on the intermediate nodes which frequently join and leave the network. It is extremely significant to have a secure routing in such a dynamic network to preserve the data privacy. In this paper, we propose a secure and privacy routing based on Node Activities Learning (NAL) approach. This approach knows the runtime activities of the node to predict the probability of activity transformation for the intentional and unintentional activities which interrupt the data communication and affects the privacy. The mean of privacy is decided based on the node individual trust factor. It also suggests a method for the node which loses their trust due to the unintentional activities. A simulation-based evaluation study shows positive improvisation in secure routing in different malicious node environment.
A Hybrid Algorithm for Reliable and Energy-efficient Data Gathering in Wireless Sensor Networks
Authors: Salman Mohammed Falah Abood , Farzinvash Leili
Published: July 2022

Reliability and energy efficiency are two important requirements of the data gathering process in wireless sensor networks. Accordingly, we propose a novel data gathering algorithm which meets these requirements. The proposed scheme categorizes the sensed data into valuable and normal data and handles each type of data based on its demands. The main requirement of valuable data is reliability. Thus, the adopted strategy to gather this type of data is to send several copies of data packets toward the sink. The rise of energy exhaustion in this scheme is tolerable. This is due to that, the valuable data is generated at a low rate. On the other hand, our main concern in gathering normal data is energy efficiency. As most of the sensed data is normal, an energy-efficient approach to gather normal data results in considerable energy conserving. Thus, we exploit clustering technique for normal data gathering. We also propose a lightweight intrusion detection system to detect malicious nodes. Simulation results and theoretical analysis confirm that our proposed algorithm provides reliability and energy efficiency at an acceptable level.
ZigBee Healthcare Monitoring System for Ambient Assisted Living Environments
Authors: Buthelezi Bongisizwe Erasmus , Mphahlele Maredi , Deon Du Plessis Deon , Maswikaneng Solly , Mathonsi Topside
Published: July 2022

Healthcare Monitoring Systems (HMSs) are promising to monitor patients in hospitals and elderly people living in Ambient Assisted Living environments using Wireless Sensor Networks. HMSs assist in monitoring chronic diseases such as Heart Attacks, High Blood Pressure and other cardiovascular diseases. Wearable and implanted devices are types of Body sensors that collect human health related data. Collected data is sent over Personal Area Networks (PANs). However, PANs are facing the challenge of increasing network traffic due to the increased number of IP-enabled devices connected in Healthcare Monitoring Systems to assist patients. ZigBee technology is an IEEE 802.15.4 standard designed to address network traffic issues in PANs. To route traffic, ZigBee network use ZigBee Tree Routing (ZTR) protocol. ZTR however suffers a challenge of network latency caused by end to end delay during packet forwarding. This paper is proposing a New Tree Routing Protocol (NTRP) for Healthcare Monitoring Systems to collect Heart Rate signals. NTRP uses Kruskal’s minimum spanning tree to find shortest routes on a ZigBee network which improves ZTR. Neighbor tables are implemented in NTRP instead of parent–child mechanism implemented in ZTR. To reduce end to end delay, NTRP groups’ nodes into clusters and the cluster heads use neighbor tables to forward heart rate data to the destination node. NS-2 simulation tool is used to evaluate NTRP performance.
A Rate Control Model of MPEG-4 Encoder for Video Transmission over Wireless Sensor Network
Authors: Yunus Farizah
Published: July 2022

Recently, multimedia application has a lot of attention in the research community, especially when transmitting video over IEEE 802.15.4 standard. This is due to the capability of providing low complexity with low cost, but still maintaining the quality of video in term of packet received. However, transmitting video over Wireless Sensor Network (WSN) posed a new research challenges with high bandwidth demand and energy constrained of sensor nodes. MPEG-4 video codec is one of the compression techniques that used to decrease the amount of bandwidth required to meet WSN environment. Therefore, video encoding is a useful tool for rate control to control the video bit rate and maintaining the video quality especially in real-time communication applications. Video bit rate is affected by quantization scale, frame rate, and Group of Picture (GOP) size. A rate control model called enhanced Video Motion Classification based (e-ViMoC) model is proposed in this paper to produce the desired bit rate that complies to the IEEE 802.15.4 standard, while at the same time preserving the video quality. The analysis has shown that, the video transmission using e-ViMoC rate control achieves enhancement in delivery ratio, energy consumption and video quality (PSNR) when compared to video transmission using uncompressed video.
Artificial Neural Networks, Support Vector Machine And Energy Detection For Spectrum Sensing Based On Real Signals
Authors: SABER Mohammed , EL RHARRAS Abdessamad , SAADANE Rachid , KHARRAZ AROUSSI Hatim , WAHBI Mohammed
Published: July 2022

A Cognitive Radio (CR) is an intelligent wireless communication system, which is able to improve the utilization of the spectral environment. Spectrum sensing (SS) is one of the most important phases in the cognitive radio cycle, this operation consists in detecting signals presence in a particular frequency band. In order to detect primary user (PU) existence, this paper proposes a low cost and low power consumption spectrum sensing implementation. Our proposed platform is tested based on real world signals. Those signals are generated by a Raspberry Pi card and a 433 MHz Wireless transmitter (ASK (Amplitude-Shift Keying) and FSK (Frequency-Shift Keying) modulation type).  RTL-SDR dongle is used as a reception interface. In this work, we compare the performance of three methods for SS operation: The energy detection technique, the Artificial neural network (ANN) and the support vector machine (SVM). So, the received data could be classified as a PU or not (noise) by the ED method, and by training and testing on a proposed ANN and SVM classification model. The proposed algorithms are implemented under MATLAB software. In order to determine the best architecture, in the case of ANN, two different training algorithms are compared. Furthermore, we have investigated the effect of several SVM functions. The main objective is to find out the best method for signal detection between the three methods. The performance evaluation of our proposed system are the probability of detection and the false alarm probability . This Comparative work has shown that the SS operation by SVM can be more accurate than ANN and ED.
Analysis of Factors Caused by Changes in the Weather of Food waste in Seoul and Efficient Disposal Direction
Authors:   The Korean Logistics Research Association, Kim Bo-Song , Han Gwan-Soon
Published: July 2022

As life in Seoul is diverse, environmental problem is caused in various ways. Food waste is generated at each stage of the food production, distribution, and consumption system. In this research, we analyze the factors(temperature, humidity, precipitation, etc.) of food waste caused by climate change. The purpose of this study is to analyze the factors of increase or decrease in the amount of food waste led to the change of weather, to predict the amount of future generation, and then to examine collection, transportation and treatment directions of food waste in Seoul as climate change. In terms of logistics, this study contributed to the establishment of a circular economy society by suggesting a more efficient collection and transport of food waste and a rational treatment direction than previous studies on food waste treatment facilities, treatment methods, or policies. In order to realize the Sustainable Development Goals (SDGs), waste must be reduced by more than half by 2030. I hope this study would be utilized so as to meet the needs of this era.
Density effects on microstructures and mechanical behavior of (AlN)0.9(Si3N4)0.1 ceramic
Authors: Nguyen Thi Thao , Le Van Vinh
Published: July 2022

Molecular dynamics (MD) simulations have been used to study three samples of (AlN)0.9(Si3N4)0.1 ceramic materials with density varying from 2.95 to 3.88 g.cm-3. The influence of density on microstructure, such as the change of structural units, bond lengths, the nearest common neighbors, and voids, was studied in detail. The analysis shows that these samples consist of regions of AlN and Si3N4 materials. The region of AlN material consists mostly of AlN crystals and small amount of AlN amorphous. The region of Si3N4 material has amorphous structure. Void analysis shows that there is the diffusion of Si atoms into the AlN amorphous region and conversely there is the diffusion of Al atoms into the Si3N4 amorphous region. The voids with large radius are localized in the amorphous structure region. The number of these voids decreases rapidly with the increase of density. This reduction improves significantly mechanical properties of samples.
Diffusion in metals Au, Cu, and interstitial alloys AuSi, CuSi
Authors: Nguyen Quang Hoc , Nguyen Duc Hien , Nguyen Thi Hoa , Le Lan Huong , Nguyen Ngoc Le
Published: July 2022

The paper performs numerically the vacancy activation volume, the activation energy, the pre-exponential factor, and the diffusion coefficient for metals Au, Cu, and alloys AuSi, CuSi in the interval of the concentration of interstitial atoms from zero to 4%, in the interval of temperature from 700 to 1873 K, in the interval of pressure from zero to 180 GPa and the interval of strain from zero to 5%. The paper determines the dependence of the diffusion coefficient on pressure and stress for above mentioned metals and alloys. SMM numerical results show that the Arrhenius law is satisfied for metals and interstitial alloys at different pressures and concentrations of interstitial atoms. SMM numerical results for Au at T = 1000 K and T = 1250 K and at zero pressure are in good agreement with experiments for the activation energy (errors are below 10%) and agree in terms of magnitude for the pre-exponential factor and the diffusion coefficient. SMM numerical results of the diffusion coefficient for Au in the interval of temperature from 977 to 1321 K and for Cu in the interval of temperature from 933.95 to 1336.15 K are compared with experiments and other calculations and there are rather good agreement in terms of magnitude. SMM numerical results of the activation volume of Au and Cu agree well with other calculations. SMM numerical results for diffusion quantities of interstitial alloys AuSi, CuSi in different temperatures, pressures, stresses, and concentrations of interstitial atoms anticipate and orient experiments in the future.
Elastic deformation and elastic wave velocity of ternary alloys FeCrSi and AuCuSi
Authors: Nguyen Quang Hoc , Nguyen Duc Hien , Nguyen Thi Hoa , Pham Phuong Uyen , Trinh Hong Ngoc
Published: July 2022

The paper uses the model of cubic ternary substitutional and interstitial alloy and conditions in which the interstitial atom concentration is very small compared to the substitutional atom concentration, the substitutional atom concentration is very small compared to the main metal atom concentration. On that basis together with the elastic wave and the elastic deformation theory of this alloy obtained by the statistical moment method, we perform numerical calculations for temperature, pressure, the concentration of substitutional atoms, and concentration of interstitial atoms dependences of the elastic moduli E, K, G, the elastic constants C11, C12, C44, the longitudinal wave velocity Vd and the transverse wave velocity Vn of alloys FeCrSi and AuCuSi. Numerical results for FeCrSi and AuCuSi are compared with that of Fe, FeCr, FeSi, Au, AuCu, AuSi, and other calculations, and experiments. Numerical results for ternary alloys predict experimental results in the future.
New morphological and acoustic records of Myotis species (Mammalia: Chiroptera: Vespertilionidae) from northern Vietnam
Authors: Vu Duc Toan , Dao Nhan Loi
Published: July 2022

Among the currently known bat species composition recorded from Vietnam, 12 species of Myotis distribute in the northern region: Myotis altarium, M. alticraniatus, M. annamiticus, M. annectans, M. chinensis, M. hasseltii, M. horsfieldii, M. indochinensis, M. laniger, M. montivagus, M. muricola và M. pilosus. Data on these Myotis species, particularly echolocation, is limited because almost all of them have been rarely recorded over the field surveys. Between 2020 and 2021, we conducted a series of bat surveys in northern Vietnam with an emphasis on Myotis species. Results from our studies included new data in morphology and echolocation of three species: Myotis alticraniatus, M. muricola and M. pilosus. External measurements of these species from Ha Long Bay are larger than those in previous publications. Their echolocation parameters (start frequency, end frequency, call duration) also differ from those in published descriptions. This paper provides new records of the three Myotis species from Ha Long Bay for further research, monitoring and conservation actions in the future.
Preliminary data on terrestrial snails (Mollusca: Gastropoda) in Pu Mat National Park, Nghe An Province, Vietnam
Authors: Do Duc Sang , Nguyen Thanh Son , Do Hai Lan
Published: July 2022

As terrestrial snails are poorly studied and understood in Pu Mat National Park, a preliminary survey was conducted to establish their diversity. A total of 29 species and subspecies representing 11 families are documented, of which three species recorded for Central Vietnam (Microcystina vernacula, Plectotropis xydaea, and Trachia cordieri) and 12 species for Nghe An Province are herein published for the first time. Families Cyclophoridae (9 species, 31.03%), Camaenidae (6 species, 20.68%), Ariophantidae (4 species, 13.79%) were found to be the most diverse in the area. The annotated checklist of terrestrial snails from Pu Mat N.P. is presented for the first time, as a scientific basis for the conservation and sustainable development of terrestrial snails in Pu Mat N.P.
Expression analysis of the duplicated genes in the NAC transcription factor gene family related to the drought stress response in peanuts (Arachis hypogaea)
Authors: Tran Thi Thanh Huyen , Chu Duc Ha , Tran Dang Khoa , La Viet Hong , Hoang Phuong Loan , Tran Van Tien , Bui Thi Thu Huong , Dong Huy Gioi
Published: July 2022

NAC has been considered one of the largest transcription factor families in plant species. In peanut (Arachis hypogaea), 29 members of the AhNAC gene family have been identified and characterized. However, the information of their functions related to the mechanism of the stress response has been reported. In this study, a total of seven duplication events, which occurred from the segmental duplication, has been predicted in the AhNAC gene family in peanuts. The Ka\Ks ratios revealed that natural selection prevented the presence of the point mutations in the most duplicated genes, consequently, maintaining their structure and function during evolution. Based on the unrooted phylogenetic tree between AhNAC proteins in peanuts and 23 drought-responsive CaNAC in chickpea (Cicer arietinum), we proposed 12 members of the AhNAC that potentially share similar functions with well-characterized NAC in chickpea. Furthermore, various hormone- and drought-responsive cis-regulatory elements have been found in the promoter regions of these candidate genes. Re-analysis of the previous RNA-Seq demonstrated that the majority of the candidate AhNAC genes were responsive to the osmotic stress. Taken together, our study could provide an important foundation for further functional characterization towards the improvement of stress tolerance in peanuts.
Research on some biological indicators of ROC10, ROC23, and ROC26 varieties growing in Hoa Binh province
Authors: Le Van Trong , Nguyen  Nhu Khanh , Bui Thi Thuy Ngan , Ha Thi Phuong
Published: July 2022

Analysis of some biochemical indicators during the growth and development of 3 sugarcane varieties ROC10, ROC23, ROC26 is one of the methods contributing to the prequalification of sugarcane varieties with good quality. The results showed that the reducing sugar content in the stems of all three sugarcane varieties decreased with age, of which ROC23 and ROC26 were less than that of ROC10. The sucrose content increased gradually, and ROC23, ROC26 had higher sucrose content than ROC10. The starch content in the cane stem decreased gradually with the age of the plant, of which varieties ROC23, ROC26 were less than ROC10. Vitamin C content of ROC23 variety was higher than that of ROC10 variety in the growing period while ROC26 variety at an early stage, vitamin C content was less than that of ROC10 variety but from 9 months old onwards, it was higher than ROC10 variety. The cellulose content of the ROC23 variety was highest, followed by the ROC10, and the lowest was the ROC26 variety. The results of this study are the scientific basis for selecting sugarcane varieties with good quality based on the biochemical changes of the plant during growth and development.
Nutritional status of students at Lao Cai City No. 1 High School, Lao Cai province
Authors: Nguyen Thi Trung Thu , Ha Thuy Linh , Le Thi Tuyet , Duong Thi Anh Dao
Published: July 2022

An adolescence period (15 - 17 years old) is an important stage of body development. Study on the nutritional status of adolescents plays an important role in health care. A cross-sectional study was conducted on 1095 students aged 15 to 18 years old at Lao Cai No. 1 High School in 2019. Results showed that median age was 16.3; weight was 53 kg; height was 163 cm; waist circumference was 68 cm; hip circumference was 80 cm; BMI was 20.0 kg\m2; Z-score height for age was -0.6; Z-score BMI for age was -0.3. Anthropometric indicators such as weight, height, and BMI in boys were higher in girls as compared to boys in all grades. The rates of malnutrition, overweight and obesity were 5.4%, 9.1%, and 1.6%, respectively. The malnutrition, overweight and obesity in boys (6.8%, 3.4%, 2.3%, respectively) were significantly higher in girls (4.1%, 5.8%, 1.1%, respectively) as compared to boys (P < 0.05). These parameters of students of grade 10 (2.5%, 16.4% and 2.5%), 11th grade (6.4%, 7.4% and 2.0%) and 12th grade (6.9%, 3.7% and 0.3%) were different (P < 0.001). The results of the current study showed that the rate of stunted students was 3.9%, however, there were no significant differences in gender and grade level (P > 0.05). These results have oriented students, families, and schools to improve the poor nutritional status, and provide the best conditions for the development of adolescents.
Assessment of heat stress change in Hanoi city
Authors: Dao Ngoc Hung , Hoang Luu Thu Thuy , Dang Bich Thao , Tran Thi Thao
Published: July 2022

Hanoi is the second-largest city in Vietnam, with rapid urbanization, high population density and continuously increasing people's income. However, due to climate change and urbanization, heat stress is becoming more and more serious, affecting public health. This study used the method of calculating effective temperature (ET) to evaluate the spatial and temporal variation of heat stress in Hanoi city from the period 1961 to 2020. Calculation results of the ET value showed that the ET at the hot and fairly hot level was mainly concentrated in June, July, and August. ET tends to increase markedly over time. During the period 1961 - 1997, there was almost no hot ET, but from 1998 to the present, the number of hot ET months occurs frequently in June and July. The number of hot months in the downtown area of Hanoi is much higher than in the surrounding areas. With such a trend in the future, the months of June and July will always have hot ET. The research results are useful documents for management agencies and the health sector to take specific actions to strengthen the health care system, develop infrastructure, and inform the community about the risk of heat stress.
Selecting and determining the weight of indicators in assessing vulnerability on the agricultural sector in Binh Dinh province due to climate change
Authors: Hoang Luu Thu Thuy
Published: July 2022

The purpose of this study is to select and determine the weights of indicators in vulnerability assessment on the agricultural sector in Binh Dinh province by AHP - Analytic Hierarchy Process method with the support of Expert choice software. Indicators with large weights show the role and impact of those indicators in determining the value of the component variables: exposure index (E), sensitive index (S), and adaptive capacity index (AC). The results of the index calculation of the component variables taking into account the weights of the indicators will reflect more objective results when no weights are applied. Analysis of the value of the component index and the vulnerability index shows that: The degree of vulnerability to the agricultural sector in the coastal plain districts and near the sea is greater than that in the mountainous and midland districts. The degree of vulnerability to the agricultural sector of Binh Dinh province is low to very high, of which very high vulnerability is concentrated in coastal districts and near the sea including Hoai Nhon, Phu My, Phu Cat, and Tuy Phuoc districts; high vulnerability in An Lao and Hoai An districts; districts in the southwest of the province have low to moderate levels of vulnerability to the agricultural sector.
A study on drought in Hai Duong province during dry months in the context of climate change
Authors: Dao Ngoc Hung , Hoang Luu Thu Thuy , Nguyen Duong Thao , Doan Thi Thu
Published: July 2022

Hai Duong is a province in the Red River Delta with a GDP of 3020 USD\year. Its economy depends heavily on natural conditions, especially in the agricultural sector. In the context of climate change, drought will be a natural disaster that greatly affects the economy - especially agriculture. Using the correlation evaluation method and building complex regression equations, a good correlation was found between the total evaporation with the total monthly rainfall, monthly mean temperature, monthly mean maximum temperature, and monthly minimum temperature. This is the basis for calculating potential future evaporation based on climate change and sea level rise scenarios. Using the method of calculating the drought index K using the input data of climate change and sea level rise scenarios for Vietnam, the study has calculated the drought evolution for the three driest months of the year (12, 1, 2) for the period 2021 - 2050 in Hai Duong province. The results show that with both scenarios RCP 4.5 and RCP 8.5, the drought index is at arid and very arid levels. The drought level in the RCP 8.5 scenario is higher than in the RCP 4.5 scenario, the drought level at Chi Linh meteorological station is 1.4 - 1.5 times higher than the drought level at Hai Duong meteorological station and especially, the drought is cyclical with the scenario RCP 8.5, which shows the maximum every 9 - 10 years.
Using Holiday Climate Index to assess the favorable climate for tourism development in some locals of Southern Vietnam
Authors: Hoang Thi Kieu Oanh , Le Huu Loi
Published: July 2022

The climate conditions for tourism development by using the HCI - Holiday Climate Index developed by Mantao Tang (2013). HCI index assesses the impact of climate through 4 elements of climate: thermal comfort index; average rainfall; cloud cover and average wind speed. The result shows that Ba Ria - Vung Tau province has the most favorable level of climate for tourism development. Moreover, the monthly HCI index shows that the most suitable period for tourist activities every year usually appears from December to February of the following year with favorable levels from Good to Very Good.
The Implementation of Sister City Agreement on Tourism between the Special Region of Yogyakarta Indonesia and Kyoto Japan
Authors: Luna Tristofa  , Aaron Tham
Published: July 2022

Sister City between Yogyakarta and Kyoto is one of the most active cooperations in Indonesia. This cooperation covers various fields such as academics, economy, culture, and tourism. This paper focuses merely on the tourism sector program from 2015 to 2018 because Yogyakarta and Kyoto are famous tourism destinations. Moreover, from 2015 to 2018, there was a significant increase in Japanese tourists coming to Yogyakarta. It prompts an investigation on ‘how did the implementation of the cooperative agreement in tourism from 2015 to 2018 between the Special Region of Yogyakarta and Kyoto lead to mutual benefits?’. It is underpinned by two theoretical frameworks: the sister city concept and cultural diplomacy. This research aims to unpack the implementation of the Sister City Program between the Special Region of Yogyakarta and Kyoto in tourism from 2015 to 2018. This research revealed successful cooperation related to disaster risk and tourism management, promotion, and information.
Health informatics and health information management: future trends for information technology in health sciences
Authors: Gill Harsheen , Kaur Mandeep , Sandhu Sartaj Singh , Sandhu Angad Singh
Published: July 2022

Healthcare is at an important crossroads in that current models of care are increasingly seen by politicians and policymakers as unsustainable. Furthermore, there is a need to move away from the reactive, doctor-centred model of care to one that is more patient-centred and that consistently delivers accessible, high-quality and safe care to all. Greater use of health information technology (HIT) is seen by many key decision makers as crucial to this transformation process and, hence, substantial investments are made in this area. However, healthcare, particularly in hospitals, remains a laggard in health information technology (HIT) adoption. To uncover the underlying reasons, we discuss current implementation and adoption challenges and explore potential ways to address these. We outline strategic, organisational, technical and social factors that can ‘make or break’ technological implementations. Most importantly, we suggest that efforts should be characterised by an underlying awareness of the complexity of the hospital environment and the need to develop tools that support provision of integrated multidisciplinary care. We conclude with a discussion of promising future developments, including increased patient involvement; access and contribution to shared records; the penetration of smart devices; greater health information exchange and interoperability; and innovative real-time secondary uses of data.
Reflexives in the lexical and grammatical system of language and artistic discourse: linguocultural contrastive aspect
Authors: Muryasov Rakhim Z. , Zheltukhina Marina R. , Zelenskaya Larisa L.
Published: July 2022

The article is devoted to reflexives in the lexico-grammatical system of the language and artistic discourse in the linguocultural contrastive aspect. The problem of establishing the lexico-grammatical nature of reflexives remains relevant in modern linguistics, since the language system in different linguistic cultures lives according to its linguistic laws. The novelty of the study lies in determining the fact that the level status of reflexives is various in different languages. It has been established that the lexical and grammatical categories of reflexive pronouns are contradictory and unstable, presented not only in different languages, but also in grammatical studies of different authors within the same language. In some studies, the reflexive forms a category consisting of one unit, in others – several units and in some studies, they are considered as personal pronouns. In some languages, the reflexive of verbs is described along with active and passive forms as a grammeme of the grammatical category of voice, in others they have a double-level status. As a result of structural, lexico-grammatical analysis, comparative analysis, interpretative analysis of the actual material (artistic discourse), subject-predicate-object relations in verbs defined as reflexive were revealed. The perspective is the consideration of the discursive nature of reflexives in various types of discourse in different linguistic cultures.
HIV infection and risk of heart failure: A meta-analysis and systematic review
Authors: Li Xiaofei
Published: July 2022

Background: Heart failure (HF) is commonly seen in patients with human immunodeficiency virus (HIV) infection. We aimed to evaluate the potential correlations of HIV infection and risk of HF, to provide evidence to the management of HIV and HF. Methods: We searched PubMed and other databases to identify prospective cohort studies on the risk of HIV infection and heart failure, we used Stata 13 software for Meta-analysis, and we calculated the hazard ratio (HR) values and 95% confidence interval (CI) values for the risks of HF in patients with and without HIV infections. Results: A total of five studies were included, with 8457 cases in the HIV-infection and 21917 cases in the non-HIV-infection group. Meta-analysis results showed that HIV infection can increase the risk of HF by 48% (HR=1.48, 95% CI1.31~1.67). Subgroups analyses by HIV-1 RNA viral load, CD4+ cell count, and study population also favored the overall results, and the research heterogeneity mainly come from the group of veterans in the research population. Conclusions: HIV infection is one of the risk factors for HF, which can increase the risk of heart failure, early preventions and interventions are needed for those populations.
Apoptosis is responsible for the cytotoxic effects of anti-GD2 ganglioside antibodies and aurora A kinase inhibitors on human neuroblastoma cells
Authors: Durbas Małgorzata , Rokita Hanna , Horwacik Irena , Wiśniewska Aneta , Nowak Iwona
Published: July 2022

In recent years, immunotherapy has been identified as an effective treatment method for high-risk neuroblastoma. A previous study demonstrated that an anti-GD2 ganglioside (GD2) mouse 14G2a monoclonal antibody (mAb) combined with a small molecule, i.e., an aurora A kinase inhibitor (MK-5108), significantly increased cytotoxicity against human neuroblastoma cells, as compared to monotherapy. This study aimed to demonstrate the mechanism of neuroblastoma cell death in vitro following the addition of an anti-GD2 human-mouse chimeric ch14.18/CHO mAb (presently used in clinics) and two aurora A inhibitors (MK-5108 and MK-8745). The effects of the aforementioned agents on neuroblastoma cells were determined by measuring the level of ATP, the level of apoptotic and necroptotic markers, and the activity of caspase 3/7. The results revealed that the ch14.18/CHO mAb decreased cellular ATP levels in the IMR-32 and CHP-134 neuroblastoma cell lines, similarly to the 14G2a mAb. Regarding ch14.18/CHO mAb treated IMR-32 cells, the observed cytotoxic effect was concomitant with induced caspase 3 cleavage, which indicated the induction of apoptosis in IMR-32 cells, but not in CHP-134 cells. Furthermore, the MK-5108 inhibitor induced apoptosis, as indicated by the increased cleavage of caspase 3 and increased activity of caspase 3/7. However, the presence of necroptosis was ruled out in MK-5108-treated IMR-32 and CHP-134 cells. In summary, the effects of the combination of ch14.18/CHO mAb and aurora A kinase inhibitors (MK-5108 and MK-8745) were shown to enhance apoptosis in IMR-32 cells compared to when used individually.
The effect of bradykinin on the pro-inflammatory response of human adipocytes
Authors: Guevara-Lora Ibeth , Sordyl Maria , Niewiarowska-Sendo Anna , Bras Grazyna , Korbut Edyta , Goralska Joanna , Malczewska-Malec Malgorzata , Solnica Bogdan , Kozik Andrzej
Published: July 2022

The proper functioning of adipose tissue is one of the factors in maintaining energy homeostasis. Adipocytes not only store lipids but also produce active molecules such as adipokines and adipocytokines, which are involved in many functions of adipose tissue, including the secretion of hormones that regulate energy and lipid metabolism. Inflammation has been shown to underlie the deregulation of adipose tissue function. Bradykinin belongs to a family of pro-inflammatory kinin peptides that are abundant in most tissues and biological fluids. This study aimed to determine the ability to produce kinin peptides and characterize the effect of bradykinin on pro-inflammatory responses in adipocytes. The Chub-S7 human preadipocyte line was differentiated to show specific properties for adipose tissue cells. The differentiated cells expressed genes that encode proteins such as kininogen, kallikrein, and prolylcarboxypeptidase that are involved in the production of kinins and also showed the expression of kinin receptors. The response of adipocytes to bradykinin was examined in relation to kinin concentration and the presence of kininase inhibitors. The high concentration of bradykinin induced a moderate increase in lipid accumulation, increased release of pro-inflammatory cytokines, and altered gene expression of molecules involved in adipocyte function, such as adiponectin, lipoprotein lipase, and other transcription factors. This study suggests an important role for kinin peptides in inducing inflammatory responses in adipocytes, which can modify the function of adipose tissue and ultimately lead to diseases related to disturbance of energy homeostasis. The results obtained may enrich our understanding of the mechanisms underlying obesity-related disorders.
The Influence of Cosmetics Brand Image on Customer Satisfaction
Authors:   The Korean Society of Beauty and Art, Jo Hyun-Jung
Published: July 2022

Cosmetics industry in which people perceive their outer look as a means to express themselves has gradually expanded. At the same time, market competition has become fiercer. It is ‘brand’ which has a considerable effect on customers’ purchase of cosmetics. Therefore, this study attempted to investigate the influence of cosmetics brand on customer satisfaction and suggest a plan for market competition in cosmetics industry by unveiling the medicating effects of service quality between cosmetics brand and customer satisfaction, and the results found the followings: Image brand had an influence on customer satisfaction while the quality of services revealed a mediating effect between brand image and customer satisfaction. Therefore, there should be further efforts for sustainable growth through value competition by enhancing brand image.
The Influence of Perception of Untact Classes on Learning Flow and Class Satisfaction
Authors:   The Korean Society of Beauty and Art, Song Tae-Im
Published: July 2022

This study attempted to investigate the effects of the perception of untact classes on learning flow and class satisfaction. For this, a questionnaire survey was performed against college students in Gwangju Metropolitan City. A total of 257 copies were used for final analysis, and the results found the followings: First, the perception of untact classes had an influence on learning flow. Under untact classes, students are able to watch online classes repeatedly, reducing learning loss. Therefore, untact class is an important factor in learning flow. Second, the perception of untact classes revealed a statistically significant influence on class satisfaction. In other words, diverse untact teaching-learning methods have a positive effect on class satisfaction. Third, concerning the influence of learning flow on class satisfaction, learning flow enhances student concentration. Therefore, increase in interest has a positive effect on improvements in academic achievements. It is anticipated that the study results would be used in preparing effective untact classes under current unfavorable situations and available as basic data for future education.
Changes in Images by Ponytail Position and Gender Preferences
Authors:   The Korean Society of Beauty and Art, Han Sook-Kyung , Kim Keum-Ran
Published: July 2022

Ponytail hairstyles have been popular among modern people thanks to their convenience in styling and time efficiency in hectic daily routine. This study attempted to investigate changes in the image of ponytail hair styles by their different position and gender preferences. For this, a questionnaire survey was performed against men and women in their 10-50s from around the country. The collected data were analyzed by frequency analysis and cross-tabulation analysis, using SPSS 21.0, and the results found the followings: In terms of an image by the ponytail type, low ponytail and middle/high ponytail revealed ‘elegant’ and ‘sporty’ respectively while ‘cute’ was found in side-ponytail, 2-ponytail and half-up ponytail. Among them, ‘low ponytail’ was most preferred. The respondents were also positive in having such hair style. Therefore, it is anticipated that there would be further use and development in ponytail hair styles through diverse changes.
Research on hairstyle directing works using Wood Stick
Authors:   The Korean Society of Beauty and Art, Kim So-Hyeon
Published: July 2022

In the modern world, the development of beauty is not accomplished only by convenience in everyday life; it also requires psychological happiness and visual pleasure. The field of hairdressing emerged from the realm of creating designs for clients, while trying to take an artistic approach, and is expanding in scope. It is not directly aimed at peopl and utilizes a variety of materials and their characteristics to embody beauty, and today styles are valued as works of art. Hair art used waste hair at the beginning of beauty art, and has endlessly developed, utilizing a variety of materials to add depth. However, it is a pity that the area of hair art is only mainly used with long hair. In this study, three hairstyle image rendering works were produced using wooden chopsticks. Through this, a diversity of materials in the field of hair art were devised, and works of hair art were created using commonly available materials. This loosened the boundaries of access to art while enhancing the artistic sense. In addition, by expressing the image of the hairstyles, the study aimed to develop the visual ability of image analysis to help create various designs in the field of practice.