bluuebunny/crossref_metadata_2025 huggingface dataset:
CONFORT: CONTRIBUCIÓN TEÓRICA A LA ENFERMERÍA
Authors: Gonçalves Martins Ana , Pontífice Sousa Patrícia , Margarida Marques Rita
Published: December 2022

Objetivo: el objetivo del estudio es comprender cómo la teoría del confort de Kolcaba ha influido en la investigación y la práctica clínica de la enfermería a través de la evolución del concepto.

Desarrollo: Se trata de un estudio de carácter teórico, resultado de la lectura, análisis y reflexión de diferentes estudios obtenidos a través de la revisión bibliográfica realizada en diciembre de 2021 en Lisboa, Portugal. La literatura destaca la presencia del constructo integral en varias taxonomías de enfermería a lo largo del tiempo, y más recientemente, en varias teorías de enfermería. Desde el análisis conceptual, independientemente de la perspectiva teórica, se reafirma que se trata de un fenómeno de interés complejo y multifacético.

Conclusión: se entiende que esta reflexión permite comprender el fenómeno del confort y cómo se ha estudiado y aclarado este concepto, afirmando su importancia para la calidad de los cuidados de enfermería.
POLA INTERAKSI SOSIAL PADA SD NEGERI PAKIS V SURABAYA DI MASA PANDEMI COVID-19
Authors: Ristyanti Ainnur , Ilma Rossa , Gabriella Finna
Published: December 2022

Covid 19 and social processes have a close relationship with social interaction during this conflict pandemic. A lot has happened as a result of this pandemic. Social shifts include social interactions in the elementary school environment. The purpose of this study was to determine the pattern of social interaction of students at SD Negeri Pakis V Surabaya during the Pandemic Period. This study used qualitative research methods. The data sources of this research are primary data that comes from informants directly and secondary data from this research is derived from literature studies obtained from books, journals, and internet articles. Then the data collection techniques used in this study were interviews, observations, and documentation. Furthermore, the data analysis techniques used in this study were interactive model data analysis techniques. The results of this study found that six dimensions in the theory of Interaction Process Analysis in WhatsApp Groups have been passed in every conversation theme discussed. This shows that group interaction theory can also be applied to interactions through online media. The phases that are passed in online communication are almost the same as the phases carried out in conventional communication with regard to academic/theoretical aspects or methodologies and suggestions for practical aspects.
PENINGKATAN PENERIMAAN NEGARA BUKAN PAJAK MELALUI PENGELOLAAN BARANG MILIK NEGARA KEMENTERIAN PERTAHANAN
Authors: Rifai Muhtar , Tutu Ansar , Sahabuddin Zainal Abidin , Santosa Anton Imam
Published: December 2022

(BMN) and is oriented towards public services and public welfare. Government Regulation Number 28 of 2020 concerning Amendments to Government Regulation Number 27 concerning Management of State/Regional Property becomes the basis for managing state assets through the use of State Property to increase state revenue in the form of Non-Tax State Revenue (PNBP). State property utilization must be carried out professionally, effectively, and accountably by considering aspects of physical feasibility, legal feasibility, financial feasibility, and asset productivity feasibility. This research was conducted qualitatively with primary data sources derived from interviews and secondary data sources derived from documents or other valid information. The results of the study show that: (1) Management of State Property of the Ministry of Defense of the Republic of Indonesia is carried out to increase PNBP that has not been optimally achieved, (2) The idle BMN has not been efficient with the highest and best use and the management of PNBP on the use of BMN has not been fully following the Budget mechanism. State Revenue and Expenditure, (3) The need for optimization of supervision and control on the management of State Property, Ministry of Defense.
Implant selection for successful reverse total shoulder arthroplasty
Authors: Oh Joo Han , Jeong Hyeon Jang , Won Yoo-Sun
Published: December 2022

Reverse total shoulder arthroplasty (RTSA) emerged as a new concept of arthroplasty that does not restore normal anatomy but does restore function. It enables the function of the torn rotator cuff to be performed by the deltoid and shows encouraging clinical outcomes. Since its introduction, various modifications have been designed to improve the outcome of the RTSA. From the original cemented baseplate with peg or keel, a cementless baseplate was designed that could be fixed with central and peripheral screws. In addition, a modular-type glenoid component enabled easier revision options. For the humeral component, the initial design was an inlay type of long stem with cemented fixation. However, loss of bone stock from the cemented stem hindered revision surgery. Therefore, a cementless design was introduced with a firm metaphyseal fixation. Furthermore, to prevent complications such as scapular notching, the concept of lateralization emerged. Lateralization helped to maintain normal shoulder contour and better rotator cuff function for improved external/internal rotation power, but excessive lateralization yielded problems such as subacromial notching. Therefore, for patients with pseudoparalysis or with risk of subacromial notching, a medial eccentric tray option can be used for distalization and reduced lateralization of the center of rotation. In summary, it is important that surgeons understand the characteristics of each implant in the various options for RTSA. Furthermore, through preoperative evaluation of patients, surgeons can choose the implant option that will lead to the best outcomes after RTSA.
THE RESIDUAL INFLUENCE OF COLONIAL PLANNING ORDINANCES ON THE DIVIDED CITY CONUNDRUM IN NIGERIA
Authors:   Department of Architecture, Lead City University, Ibadan, Nigeria, Olaniyan O.M
Published: December 2022

Spatial inequalities permeate cityscapes across the world with varying magnitudes. Deeply entrenched fault lines of inequality manifest in the divided city conundrum witnessed in prominent cities in Nigeria. Cityscapes are inundated with pockets of isolated sectorial neighbourhoods for the rich and poor within the same municipal boundary. Although, segregation is typified by economic and social class, the foundations of these fault lines were engrained by colonial planning ordinances which abrogated different standards for European and Native areas. A synopsis of colonial planning ordinances in Nigeria with the searchlight upon the segregatory enactments embellished and propelled by these promulgations was corroborated with key informant interview of town planning administrators. This brought to the fore the discriminatory approach of colonial planning standards and its creation of divided cities with distinct European and Native areas. Analytical review of post-colonial planning regulations indicate a futile non-departure from the segregatory nuances of colonial ordinances. In place of racial segregation imposed by colonial ordinances, reinforcement of spatial inequalities along socio-economic dimensions has been entrenched post-independence. Moving forward, this paper advocates a strategic trajectory towards inclusivity through a review of extant physical planning and land use laws to address the multifarious constructs of spatial inequalities inherent in Nigerian cityscapes.
RETHINKING THE ARCHITECTURAL LITERACY OF HIGHER EDUCATION INSTITUTIONS: A CASE STUDY OF UNIVERSITY OF KWAZULU-NATAL: HOWARD COLLEGE
Authors:   Discipline of Architecture, School of Built Environment and Development Studies,  University of KwaZulu-Natal, Howard College Campus, South Africa, Ogunsanya L.B
Published: December 2022

Universities campuses are composed of buildings with emotional, practical, functional and even spiritual meanings. The physical environment of a university campus is a place with distinct character. Apart from their functional requirements as places of learning and knowledge production, buildings and landscapes form a textual lens through which to examine higher education provisioning across time. This article discusses the chronological history of the Howard College campus of the University of KwaZulu-Natal through the lens of architecture. This article also argues that architecture can be viewed as a ‘text’ which can be a form of language that can be comprehended and interpreted through various architectural styles, elements, form and layouts. It discusses how university campus buildings are illuminating reflections of the political, cultural and educational landscape contexts of different periods within the physical development of a higher education institution. Four campus buildings established in different periods with different architectural styles and features were analysed in this article with a particular focus on colonial architecture and its influence on campus buildings. The article proposes “architectural literacy” as a construct to inform a qualitative historical insight into the changing landscape of the higher education system in South Africa and the university of KwaZulu-Natal. It also provides insight into the various transformations in the built environment of the university campus from its colonial inception to its evolving decolonised state through the campus buildings.
Faktor-Faktor yang Mempengaruhi Kualitas Pelayanan terhadap Nasabah pada Masa Pandemik di Bank Syariah
Authors: Syam Fitri Nur Cahyani  , Muhammad Iqbal Fasa  , Suharto
Published: December 2022

Islamic banks are banks that run their business by upholding the principles of Islamic law as regulated in the fatwa of the Indonesian Ulema Council (MUI). The principles include justice and balance, benefit, and do not contain elements of usury or objects that are prohibited by Islam. Service quality is an effort to fulfill customer needs and desires and the accuracy of delivery to balance customer expectations. Along with rampant competition, banks are required to maintain the quality of their services, especially in the midst of the covid 19 pandemic. This is done solely to increase customer loyalty. This type of research uses qualitative research. This study generally aims to determine the factors that influence the quality of service to customers during the pandemic at Islamic banks. There are two issues studied in this journal, namely (1) How is the quality of service to customers during the pandemic at Islamic banks. (2) what are the factors that influence the quality of service to customers in Islamic banks.
Impact of Digitalization of Customs Services on Ensuring the Economic Security of the Russian Federation
Authors: Kurihin Sergey V.
Published: December 2022

The article is devoted to the study of the impact of digitalization of customs services on ensuring the economic security of the Russian Federation. The paper presents a description of the services provided by the customs authorities of Russia; displays calculations of the shares of applications submitted in electronic form by citizens and legal entities, and services provided in electronic form by officials of the customs authorities. The author highlights the features of the process of digitalization of customs services. These features are divided into three categories depending on the effect obtained: enhancing the interaction of customs authorities and other public institutions, developing and adapting the country’s economy to modern conditions, and also forming new requirements for the economic life of society. The article contains an assessment of the identified features: the need to harmonize the efforts of the customs authorities of all countries of the Eurasian Economic Union, the need for an integrated approach to the digitalization of the system of state regulatory authorities, the feasibility of combining digitalization of the activities of customs authorities with the concept of ”smart city”, the possibility of quantitative growth and qualitative development of the country’s economy, reorganization of the market, the continuous increase in the need for digitalization of services, as well as the formation of fundamentally new risks associated with the use of digital tools.
Energy Consumption Control Method for Oven based on DDPG
Authors: He Xudong , Zhang Wenhua , Zhang Qian , Fang Tengbiao
Published: December 2022

Oven equipment wastes a lot of energy to ensure the process and production requirements during car manufacturing. To solve this problem, this paper proposes an energy consumption control method for oven based on DDPG. This paper collects equipment data in real time by IoT technology; To solve the problems of abnormal data and inconsistent dimensions, data cleaning is applied; Then, the key features of energy consumption are extracted by integrated feature selection and dimension reduction algorithm to improve the upper limit of the model; After that, this paper creates an energy consumption reward function to evaluate energy consumption effect of parameter setting; Finally, the accuracy of the model can be improved by setting appropriate state space and action space of the model, building the network structure of the model and adjusting the super parameters; The energy consumption of oven can be controlled by this model and experiments show that the algorithm can reduce about 18% energy consumption of oven with process requirements, which the energy saving effect is good.
Research on a New Type of Self-adaptive and High-efficiency Umbrella Dryer
Authors: Long Zijun
Published: December 2022

The new adaptive and high-efficiency umbrella dryer dries the wet umbrella during the rotation and translation process through the upper and lower conveyor belts. The detection module collects parameters such as the diameter of the umbrella surface structure, and by controlling the wind pressure, wind temperature, and tracking the transmission position of the umbrella surface through the adaptive blowing port, the umbrella surface can be dried efficiently. The air outlet of the umbrella dryer faces the road surface of the shopping mall to ensure the drying of the road surface and realize the "one wind and two uses" of the centrifugal fan. The whole device has high air-drying efficiency and short waiting time for customers. the umbrella air-drying device runs through the transition space between the inner and outer doors of large shopping malls and supermarkets. When consumers enter, they place the umbrella on the conveyor belt of the device, and then they can directly walk into the inner door of the mall to take out the dried umbrella. The whole set of devices is efficient and intelligent, ensuring that consumers do not need to stay and waiting in the case of high traffic in shopping malls, improving consumers' shopping comfort, greatly reducing the use of umbrella bags, and preventing white pollution.
Development and Application of Flatness Analysis System based on Coordinate Measuring Data
Authors: Yang Yi , Wang Tao , Chang Yuzhou
Published: December 2022

To realize flatness error evaluation based on coordinate measuring data, the calculation process of four evaluation methods was analyzed, and a direct calculation method of minimum zone flatness was proposed. According to the calculation process of different evaluation methods, the flatness error analysis system based on coordinate measuring data was developed, and the accuracy of the system was verified by importing the case data of related research. The practicability of the system was verified by using the developed system in the measurement task.
A Survey of Image Classification Algorithms based on Convolution Neural Network
Authors: Mo Ruofan
Published: December 2022

With the deep learning (DL) sweeping the world. Traditional image classification methods are difficult to process huge image data and cannot meet people's requirements for image classification accuracy and speed. The image classification method based on convolutional neural network (CNN) breaks through the bottle neck of traditional image classification methods and becomes the mainstream algorithm of image classification at present, how to effectively use convolutional neural network to classify images has become a hot research topic in the field of computer vision at home and abroad. Convolutional neural network (CNN) has performed well in image classification and segmentation, target detection and other applications, and its powerful feature learning and feature expression capabilities are increasingly respected by researchers. However, CNN still has a few problems, such as incomplete feature extraction and overfitting of sample training. In view of these problems, after in-depth research on the application of convolutional neural network in image processing, this paper gives the mainstream structure model, advantages and disadvantages, time/space complexity, problems that may be encountered in the model training process and corresponding solutions used in image classification based on convolutional neural network. Through the overview of the research status of CNN model in image classification, it provides suggestions for the further development and research direction of CNN.
Research on Drag Reduction of Heavy Truck Tail
Authors: Xu Jianmin , Gong Xiaoyan , Zheng Qingjie , Song Lei
Published: December 2022

In order to reduce the aerodynamic drag coefficient of a heavy van truck, three single-variable and one multi-variable composite drag reduction devices were designed based on the rear structure of the heavy van truck. The results show that among the three single-variable drag reduction devices, the inclination angle θ of the linear type drag reduction device has the greatest influence on the aerodynamic resistance coefficient of heavy vans truck, and the model has the best drag reduction effect when the inclination angle θ=20°, the aerodynamic drag coefficient is 0.7693, and the drag reduction rate is 7.64%. The radius R of the arc drag reducing device has the least influence on the aerodynamic drag coefficient. The multivariable composite drag reduction structure also has a good drag reduction effect. The study can provide a reference for the optimal design of the rear structure of related vehicles.
Research on Temperature Control System Mechanism of New Energy Lithium Battery for Automobile
Authors: Chen Zipeng
Published: December 2022

At present, energy is in short supply all over the world, and the environmental pollution problem is becoming more and more serious. Therefore, in order to alleviate the double pressure of environmental pollution and energy, new energy vehicles have been invented, among which electric vehicles have been widely developed. Clean energy utilization is urgent and important, and it is becoming a trend to replace fuel vehicles with electric vehicles. Battery is an important component of electric vehicle, and its correlation with vehicle performance is rather high. Lithium-ion battery has the advantages of high energy density and low self-discharge rate, and has gradually become the preferred battery for electric vehicles. Sensors used in electric vehicles mainly include sensors for detecting battery temperature, sensors for monitoring motor temperature and temperature sensors for battery cooling system. The performance and service life of lithium-ion batteries are greatly affected by temperature. In order to control the temperature of lithium battery, this paper studies its thermal management system. This paper discusses the significance of temperature control of lithium battery in electric vehicle, and puts forward the optimization measures of operation mechanism of lithium battery thermal management system.
Simulation of Output Torque of Coal Mine Permanent Magnet DC Motor for Belt Conveyor
Authors: Zhang Hongkui
Published: December 2022

With the analysis of the global coal production trend in the past ten years and the requirements of coal mine belt conveyor for drive motor, we summarized the disadvantages of coal mine belt conveyor asynchronous motor such as high loss and low operating efficiency, designed the system structure and simulation calculation model of coal mine permanent magnet DC motor, simulated the output torque of coal mine permanent magnet DC motor for 50N load condition, and realized the output characteristics of coal mine permanent magnet DC motor Calculation.
Peningkatan Literasi Keuangan Islam Pada KSPPS di Kabupaten Jember
Authors: Prihatini Dewi , Puspitasari Novi , Suroso Imam , Muhsyi Abdul
Published: December 2022

Kehadiran KSPPS di Indonesia adalah salah satu perwujudan konsep keuangan yang sejalan dengan prinsip Islam sebagai agama mayoritas penduduk Indonesia sehingga memberikan banyak peluang bagi masyarakat dalam menjalankan bisnis atau usahanya. Masalah terbanyak yang muncul adalah tingkat literasi syariah dikalangan masyarakat Indonesia masih rendah. Tujuan utama pengabdian ini adalah memberikan edukasi dan pemahaman literasi keuangan Islam kepada para pengelola Koperasi Simpan Pinjam dan Pembiayaan Syariah (KSPPS) agar mereka mampu mengembangkan usaha KSPPS sehingga dapat meningkatkan roda perekonomian negara sesuai syariat Islam. Metode atau tahapan dalam kegiatan ini mengikuti siklus PDCA dengan kegiatan utamanya adalah sosialisasi materi konsep keuangan syariah dengan menekankan pemahaman tentang produk yang dapat ditawarkan kepada anggota dan melakukan pendampingan pelaksanaan akad-akad keuangan syariah. Tim pengabdian masyarakat mencoba mengoreksi praktik yang masih belum sesuai dengan konsep keuangan syariah serta memberikan masukan dalam hal peningkatan layanan keuangan syariah sehingga anggota semakin merasa terbantu dan yakin dengan keberadaan KSPPS tersebut.
Croatia: Agricultural Land as Resource of Interest : Adjustment of Acquisition of Agricultural Land by Foreigners to EU Market Freedoms
Authors: Josipović Tatjana
Published: December 2022

This article presents a special property regime for agricultural land in the Republic of Croatia, by which agricultural land, as a resource of interest to the Republic of Croatia, is granted special protec- tion. The author analyzes Agricultural Land Act provisions providing statutory restrictions on the ownership of agricultural land and assesses their alignment with the Constitution of the Republic of Croatia regarding the constitutional guarantee of ownership and freedom of entrepreneurship. Special attention is given to the impact of EU law on the specific property regime of agricultural land. Some aspects of the property regime for agricultural land had to be aligned with EU market freedoms. During the accession negotiations, Croatia was bound to harmonize its national rules on foreigners’ property rights with EU market freedoms. Within these processes, the restrictive rules on the prohibition of acquisition of ownership of immovables have been changed in favor of foreign- ers. The author also analyzes the effects of the changes and their impact on the development of the agricultural land market. She emphasizes that upon the expiry of the transitional period (June 30, 2023), when the application of the discriminatory prohibition of acquisition of agricultural land on nationals and legal persons from other member states will no longer be possible, the development of the market of agricultural land will have to be incited by different, nondiscriminatory, and non- restrictive measures.
Czech Republic: Critical Legal Analysis on Dogmatic and Current Issues of Labor Law
Authors: Štefko Martin
Published: December 2022

The purpose of this chapter is to analyze Czech labor law. The first part describes its position in the Czech legal order, the parts of which it is composed, and the ‘big’ legislative compromise derived by the Czech legislature, when the more flexible approach was taken after the millennium. The second part identifies two key legal issues that need to be addressed in relation to Czech labor law in the post-COVID period. The Czech political representatives have not yet been able to agree on basic conceptual measures to protect society, the country, or the economy. The indebtedness of the country and individuals is rising, as is mortality and the domestic violence rate. The Czech society is split, both ideologically and as far as the discourse between generations is concerned. Some people want to protect themselves, while others want to live even at the expense of those facing a threat.
Examination of Blood Urea, State of Reactive Oxygen Species and Antioxidants Associated with Oral Contraceptive Pills Among Female Athletes
Authors: Zafar Iqbal Butt Muhammad , Jamil Muhammad , Khan Alamgir , Chaudhary Ausaf , Ahmad Jan Aftab , Khan Manzoor , Selamoglu Zeliha , Canan Alp Elifsena , Oman Al Ala Durrani Muhammad R
Published: December 2022

Blood urea, reactive oxygen species, and antioxidants are interconnected biochemical parameters. In case of any adverse effects of any agents, it directly affects the body's physiological activities. Objective: To examine blood urea, the state of reactive oxygen species and antioxidants associated with oral contraceptive pills (OCP) among female athletes. Methods: Participants of the study were randomly selected as participants of the study. The users of OCP were placed in the Experimental Group (EG), and the nonuser of OCP was put in (CG). Each group was comprised of twenty-five subjects. 5 ml blood was collected from all the subjects. Each subject was marked with a different identification code. The blood urea level was measured through the blood urea nitrogen (BUN) test. The balancing state of reactive oxygen species and antioxidants was measured through FRAP Assay. Results collected through both BUN and FRAP were calculated through the statistical package for social sciences (SPSS, version 26). Results: The mean and standard deviation of EG in term of blood urea was 29.23 ±7.89; df was 82, t-score was -.822, P- value was .413. A significant difference in term of FRAP between CG and EG was found, such as the mean and SD of CG were 137.95±.20.87, means and SD of EG was 110.54±.39.22, the t score was 3.23, and the P value was .002. Conclusions: Results show that OCP significantly impacts blood urea and causes an imbalance in both reactive oxygen species and antioxidants among users.
Оценка инсектицидной активности комплексных растительных экстрактов совместно с их эфирными маслами в регуляции численности личинок колорадского жука (Leptinotarsa Decemlineata Say.)
Authors: Аветисян А. М. , Григорян А. Ф. , Степанян И. Э.
Published: December 2022

The insecticidal activity of compound plant extracts with their essential oils in complex, isolated from Artemisia absinthium L., Achillea biebersteinii Afan., Ocimum basilicum L. growing in Armenia against Colorado potato beetle reddish larvae was studied. High insecticidal activity against larvae of the Colorado potato beetle was found in complex extract with her essential oil obtained from O. basilicum plant – 44 % after the second treatment and 100 % after the fifth treatment. It is proposed to use the plant O. basilicum in the biological control of Colorado potato beetle larvae.
Աղստև գետավազանի մակրոֆիտային համակեցության բնութագիրը Ստեղծողը:
Authors:   ՀՀ ԳԱԱ կենդանաբանության և հիդրոէկոլոգիայի գիտական կենտրոնի հիդրոէկոլոգիայի և ձկնաբանության ինստիտուտ, Եփրեմյան Հ. Վ. , Կոբելյան Հ. Հ. ,   ՀՀ ԳԱԱ կենդանաբանության և հիդրոէկոլոգիայի գիտական կենտրոնի հիդրոէկոլոգիայի և ձկնաբանության ինստիտուտ, Մկրտչյան Ժ. Հ. ,   ՀՀ ԳԱԱ կենդանաբանության և հիդրոէկոլոգիայի գիտական կենտրոնի հիդրոէկոլոգիայի և ձկնաբանության ինստիտուտ, Մելքոնյան Հ. Ֆ. ,   ՀՀ ԳԱԱ կենդանաբանության և հիդրոէկոլոգիայի գիտական կենտրոնի հիդրոէկոլոգիայի և ձկնաբանության ինստիտուտ, Ղուկասյան Է. Խ. ,   ՀՀ ԳԱԱ կենդանաբանության և հիդրոէկոլոգիայի գիտական կենտրոնի հիդրոէկոլոգիայի և ձկնաբանության ինստիտուտ, Հակոբյան Ս. Հ. ,   ՀՀ ԳԱԱ կենդանաբանության և հիդրոէկոլոգիայի գիտական կենտրոնի հիդրոէկոլոգիայի և ձկնաբանության ինստիտուտ
Published: December 2022

The aquatic vegetation (macrophyte) of the Aghstev river basin is very poor. 29 species of aquatic plants belonging to 19 families were found here, of which 5 species are hydrophytes, 9 – helophytes, 10 – hygrohelophytes, and 5 – hygrophytes. The distribution of macrophytes is limited by waterfalls, chutes and floods, typical of mountain rivers. The hydrophytic index is equal to 0.03, which makes it difficult to assess water quality through macrophytes.
Antioxidant activity of extract from three species of mosses: Plagiomnium Cuspidatum, Mnium Spinosum, Anomodon Viticulosus
Authors:   Chair of Biochemistry, Microbiology and Biotechnology, YSU, Semerjyan G. H. , Semerjyan I. H. ,   Chair of Biochemistry, Microbiology and Biotechnology, YSU
Published: December 2022

Phytotherapy is one of the most important areas of traditional medicine worldwide and the use of herbal remedies for various treatments is gaining great popularity. There is a growing trend toward the correlation of plant phytochemical constituents with their pharmacological activity. The mosses of Mnium spinosum, Anomodon viticulosus, Plagiomnium cuspidatum were collected from Armenia. Antioxidant activities were found for mosses 20,12 µg/ml, 21,12 µg/ml, and 44,06 µg/ml. High catalase activity was found in the aqueous extract of moss Plagiomnium cuspidatum - 83.91 µkat/g, further moss extract Mnium spinosum 71.3 µkat/g and lowest in moss extract Anomodon viticulosus – 25.0 µkat/g. The data obtained indicate that the catalase activity of moss extracts is significantly higher than that of medicinal plants.
Repression of Bessarabian Bulgarians by Russian Authorities During World War I (1914–1917)
Authors: Leşcu Artur
Published: December 2022

Based on the original documentary material collected by the author in the National Archives of the Republic of Moldova, an attempt has been made to investigate some unknown aspects of the struggle of Bessarabian Bulgarians against the tsarist policy of assimilation during the First World War. At the beginning of the 20th century, the Bulgarians ranked fifth in terms of population in Bessarabia – a province annexed to the Russian Empire in 1812. In all these years, they preserved their language, culture, and national traditions, transforming the Alexander III Boys’ Gymnasium in Bolgrad into a true centre of national culture. Many Bessarabian Bulgarians played an important role in the history of Bulgaria, holding positions of responsibility in the Bulgarian state. Some of them were the Prime Minister of Bulgaria Aleksandar Malinov, the Minister of War Danail Nikolaev, the Mayor of Sofia Martin Todorov and his brother General Georgi Todorov, and General Ivan Kolev. Despite this fact, and in contradiction with Russian historical mythology about special relations privileged with Bulgarians, the Russian authorities treated them equally with other national minorities, exposing them to forced assimilation, deportations, expulsions, repressions, and arrests of representatives of the Bulgarian national movement in the Russian Empire.
Jung’s Archetypes and Plato’s Eidos: Atoms of the Soul
Authors: Marinov Milen
Published: December 2022

This article attempts to reveal the relationship between Jung’s Archetypes and Plato’s Eidos. The thesis is advocated that, in the system of the individual psyche, the archetypal variety forms a two-unit hierarchy, representing the metamorphosis of primordial images into ideas and conditioning the nature–culture relationship.
Hannah Arendt: A Treasure Trove in the History of Political Ideas
Authors: Stoyanova-Encheva Olga
Published: December 2022

The paper traces and analyses the main highlights in Hannah Arendt’s political ideas as reflected in her various writings. It examines her main concepts of politics, totalitarianism, power, freedom, and violence. With her interesting and unconventional research approach, she established a dominant position as a political thinker of the 20th century, and she continues to be a highly relevant and widely read author in the present day.
PROFITABILITY PERFORMANCE ANALYSIS OF BIST MANUFACTURING SUB-SECTORS WITH DIFFERENT MULTI CRITERIA DECISION MAKING METHODS
Authors: ÇAKALI Kaan Ramazan , BALOĞLU Gürol
Published: December 2022

The objective of the study is analyzing the profitability performances of the BIST manufacturing sub-sectors for the period 2019-2021 using different multi-criteria decision-making methods. Six profitability criteria consisting of financial ratios are determined, and the profitability performances of seven sub-sectors are examined. The weights of the evaluation criteria are calculated with CRITIC and Entropy methods, and rankings are obtained using VIKOR and TOPSIS methods. Also, to convert negative values to positive in the decision matrices z-score calculation method is applied. The results reveal that the Chemicals, Petroleum Rubber and Plastic Products sub-sector ranks the first, while the Food, Beverage and Tobacco sub-sector ranks the last in terms of profitability performance in the analyzes made using four different integrated methods. In addition, it is concluded that the ranking results of the analyzes using four different methods are similar to each other. Also, profitability performance rankings of manufacturing sub-sectors are compared with their index price performances with Spearman’s rank correlation. The results show that there is no significant relationship between the index price and profitability performance rankings of the manufacturing sub-sectors for the years 2019, 2020 and 2021.
Performance of the Delta- neutral Hedging Strategy on Meme Stock
Authors: Liang Haozhou
Published: December 2022

This paper studies the performance of delta-neutral hedging strategies on meme stocks under the Black-Scholes-Model to help investors find possibilities of reducing the risk caused by high volatility in meme stock trading. In the study, one of the most followed stocks by individual investors on the r/wallstreetbets forum-GameStop (GME)-is selected as the underlying, and data of 10 options with different strike prices in the short term are collected and the daily implied volatility are calibrated by using the minimum square error approach. After constructing the portfolio, the model is used to derive the Greek-delta within each trading day and hedged. The results of the study show that the delta-neutral strategy is less effective on meme stocks, compares with the delta-neutral hedging results for other core stocks of index. This study will help investors understand the feasibility of delta-neutral hedging strategies on meme stocks.
Research on the Influence of Russia-Ukraine War on American Inflation and Strategy Optimization
Authors: Zhang He
Published: December 2022

The outbreak of the Russia-Ukraine War must be the most astonishing and significant event in 2022. It is a war caused by geopolitics but damages the global economy drastically. The necessity of studies on the specific influences of the Russia-Ukraine War on certain countries raises, and how to mitigate these influences becomes imperative. The research design is descriptive with secondary data like CPI and PPI. This paper will also complete the case study of how the Russia-Ukraine War led to U.S. inflation with economic models including an open economy market and demand and supply. The result reveals the influence of the war on the rise of prices of U.S. energy, food, and other products. The suggestions are to cease the war, imply contractionary monetary policy, cancel tariffs, increase energy supply, and seek alternatives to fossil fuels. This paper helps explain the impacts of the Russia-Ukraine War on American inflation and the strategies that are implicated carefully to improve citizens’ lives.
Research on Predicting Amazon Stock Price Based on Linear Regression and Decision Tree Algorithms
Authors: He Gengyuan
Published: December 2022

Stock price prediction is really popular in finance. A good stock price prediction can benefit investors. In this study, the stock price of Amazon was predicted using decision tree and linear regression. Besides this study compared the accuracy and prediction results of two algorithms. The prediction models use the previous stock price and volume as the predictor. This study finds that the Decision Tree algorithm fit a better model than the Linear Regression algorithm. It indicates that the Decision Tree algorithm fits a better model than the Linear Regression algorithm. Moreover, this study forecasts the Amazon's stock price for the next 60 days based on the two models. This research helps investors choose whether and when to buy Amazon stock.
Research on the Investment Strategy Based on Option Volatility Smiles
Authors: Bao Ruoyu
Published: December 2022

Under the Black-Scholes efficient market assumptions, the implied volatility of options should be constant when the option value state and the remaining maturity period change. However, in the real world, the implied volatility of options in different value states will show smile pattern with given remaining maturity period. Numerous empirical studies have found that implied volatility smile slopes have significant predictive function for stock market returns. Based on this, this paper selects the historical trading data of SSE 50 ETF options to verify the existence of option volatility smile in Chinese capital market. And uses the tilt degree of implied volatility as a stock risk premium factor to select stocks, as to obtain a portfolio with excess returns. This paper portrays the morphological characteristics of option implied volatility, as well as confirms the existence of option volatility smile in Chinese capital market. In addition, this paper demonstrates that the tilt of the smile has significant predictive function for the underlying market trend. Finally, this paper constructs an investment strategy using the tilt degree of the implied volatility smile as an indicator. The findings of this study will help investors to select stocks and construct portfolios based on implied volatility in order to obtain higher returns.
Evaluation of chooser option evidence from Alibaba
Authors: Ruan Yue
Published: December 2022

Due to the financial market’s globalization, it has resulted in the growingly fierce competition and the international financial system’s volatility in current financial market. This implies that it is growingly necessary to analyze the financial derivatives market’s trend. To assess chooser option, Alibaba is selected. The way of trading a majority of the exotic options is generally determined by the financial organizations based on the customers’ specific demands. Exotic options have three common types which are respectively lookback options, chooser options and binary options. In this proposed study, the Brown Motion Theory can be used to determine the prices of assets through applying Geometric Brownian Motion to simulate the prices of Alibaba’s financial assets in order to calculate the financial assets’ future value. This study offers valuable insights with both financial institutions and investors respectively creating more proper exotic options and making more appropriate investment decisions.
Analyzing the Phenomenon of the Increase of Brand Awareness of Mixue Ice Cream & Tea in Chinese Market through Para-social Interactivity Theory
Authors: Li Beini
Published: December 2022

The milk tea industry in China is getting very popular now. Mixue Ice Cream & Tea is one of the most well-known milk tea brands in China. This paper will focus on analyzing the particular phenomenon that happened to this brand after they applied social media. And the purpose of this study was to explore how social media impact Mixue Ice Cream & Tea mainly on the development of brand awareness and the boost of sales. The improvement of Mixue Ice Cream & Tea is explained through the para-social interaction theory (PSI). After the SWOT analysis method, the research indicates that the Mixue Ice Cream & Tea mascot developed a generally positive image in customers’ minds and allowed PSI to work.  social media promoted Mixue Ice Cream & Tea mainly on the brand awareness and the number of sales, and Mixue Ice Cream & Tea should put more effort into social media to improve more on the different aspects of its brand.
Analysis of Conor McGregor Based on Celebrity Endorsement Theory
Authors: Yin Kaiming
Published: December 2022

The paper was drawn closer from the point of view of an athlete to endorse a nonathletic product. To understand how a famous athlete--Conor McGregor succeed in this nonathletic product, the paper used the celebrity endorsement theory. This Paper reviewed the constitution of celebrity endorsement theory attractiveness, trustworthiness, and expertise. This paper analysis Conor’s endorsement from 4 perspectives which are strength, weakness, opportunity, and threats by using SWOT analysis. The result showed that Conor’s trustworthiness is the main cause of consumers’ purchasing intention.  The ways Conor showed off and emphasized his trustworthiness during the press conference and on social media is the key to success. The paper concluded that Conor’s attractiveness and expertise are relatively less influential than his trustworthiness in this case.
The impact of environmental economic policies on firm development
Authors: Zhong Ruoxi
Published: December 2022

Economic development and environmental protection are interdependent and interdependent. While vigorously developing the economy, environmental protection cannot be ignored. Enterprises are the main body to promote economic advancement. Consequently, it is extremely inevitable for policy makers to formulate scientific and reasonable sustainable development policies to drive the green development of enterprises. This paper studies the relationship between corporate green economic development and environmental policy by analyzing the impact of environmental policy on corporate competitiveness and innovation ability, using empirical analysis, data analysis and questionnaire methods. It is crucial to change the approach and improve the level of economic growth in the new economic advancement environment. The conventional approach of calculating economic gross and advancement foreground utilizing GDP and rate of economic growth is no longer appropriate given the present worldwide tendency that favors green and sustainable development. In order to achieve economic growth, it is required to develop accurate assessments of green economic efficiency indices that take into consideration how resource scarcity and environmental deterioration affect economic output. To contribute to China's coming green economic advancement and the execution of environmental legislation, it is thus imperative to thoroughly research the impacts of environmental legislation and green economic efficiency.
The impact of digital economy development on the demand and supply of labor market
Authors: Chen Lala
Published: December 2022

With the continuous development of the digital economy, the labor market has been affected to some extent. Therefore, in order to prevent employment problems caused by the changes, this paper will study the impact of the development of the digital economy on the supply and demand of the labor market. This paper will find out whether the market matches the supply and demand of labor by combining the analysis of how the digital economy affects the demand and supply of the labor market. Through the research, this paper finds that in the long term, the changes in labor supply roughly match the changes in demand affected by the digital economy; in the short term, the labor supply cannot match the demand for jobs in some fields in terms of quantity. This study helps to provide entry points and methods to solve employment problems in the context of digital economy development.
The impact of carbon emission trading system on energy intensity
Authors: Chen Xiayan , Xu Xiaoliang
Published: December 2022

From 2008 to 2019, the panel data of 30 provinces and cities in China were selected to study the impact of carbon emission trading system on energy intensity using a two-way fixed-effect dual-difference model. The research shows that the carbon emission trading system is beneficial to the reduction of energy intensity, and the degree of reduction is 4.65%. In addition, the level of technological innovation, economic development, energy structure, urbanization, expenditure on energy conservation and environmental protection and energy price can inhibit the impact of energy intensity, while the increase of energy consumption and the total population can bring about the improvement of energy intensity. Therefore, in order to improve the efficiency of energy utilization and achieve green development, it is necessary to promote the reform of market mechanism, enhance the marketization level of all regions, and establish a unified national carbon emission rights trading market.
Tort liability of accounting firms for securities misrepresentation
Authors: Wang Yuting
Published: December 2022

A securities misrepresentation tort case could be complex since it not only involves multiple subjects but also involves some reasonable presenting documents mixed-use, which makes it difficult to delineate the liability based fully on the evidence. What is a fair way to distribute liability in a securities misrepresentation tort case where the disclosure obligor knowingly provided false audit material and the accounting firm failed to effectively identify it? This paper, using case study approach and comparative study, after a comparative analysis between the relative regulations of the US and China, indicates a tendency of proportionate joint and several liability and further proposes steps to develop proportionate joint and several liability for accounting firms. The limitation of the liability of accounting firms is not for self-protection but to align the interests of issuers with those of listed companies, securities intermediaries, and investors.
Evaluation of two models for predicting Amazon stock based on machine learning
Authors: You Zixuan
Published: December 2022

With the fast growth of artificial intelligence and technology, the use of machine learning techniques in financial markets is gaining popularity. As a result, many opportunities arise, such as predicting future stock movements. Financial markets are complex and constantly evolving environments, so analyzing them can be challenging and interesting. There are no specific rules to predict or estimate the value of a stock in the stock market, so one can do stock price prediction by various methods. In this project, the stock price data of Amazon for the past five years, ‘Date’, ‘Starting price’, ‘Closing price’, ‘Highest price’, ‘Lowest price’, ‘Adjusted close price’, and 'Volume’ are all included. The data were obtained from Yahoo Finance to predict the future stock price. Two forecasting models, the Linear Regression model, and the Long short-term memory model were analyzed, and based on the comparison of Mean Absolute Error, it was concluded that the LSTM forecasting model was shown to be more effective for forecasting the time-series data category.
The relation between online social agency comments and ratings
Authors: Hu Haoyu
Published: December 2022

With the economic development in China, the hotel industry has grown along with the tourism industry. However, with the emergence of hotels of the same type and the renewal of consumers' consumption habits, online travel agency platforms are becoming more and more valuable as a guideline for consumers. This study analyzes users’ tendency in the process of consumption experience and the relationship between review texts and ratings of two five-star hotels close to each other to address this phenomenon. This paper mainly uses the Jieba splitter and TF-IDF algorithm to analyze. Accroding to the analysis, users are more concerned about facilities, services, and hygiene, while high-frequency words are negatively correlated with ratings indicating that user reviews are mainly complaint-oriented. This paper explores the service focus of the hospitality industry in the new business model from the platform reviews and provides guidance for future five-star hotels to improve their ratings and positive reviews in a targeted manner.