bluuebunny/crossref_metadata_2025 huggingface dataset:
Image Denoising Method Based on Harmonic Filtering and Non-Subsample Shear Wave Block Matching in Wavelength Domain
Authors: Chun-Yan Jiang Chun-Yan Jiang , Chun-Yan Jiang Rong Gou , Rong Gou Feng Shi
Published: March 2023

Efficient noise filtering is the difficulty of image denoising on the premise of preserving the edge and internal texture information of the image. Therefore, this paper focused on adaptive Gaussian variational model and block matching image denoising method in the wave domain from the non-local point of view. At first, a 3D block match harmonic filtering model was establish in that wavelet domain, 3D transform was use to represent that real signals in the match block group in a sparse form, then the shrinkage threshold was used to achieve the purpose of pre-denoising, and the wavelet transform was then used to extract the high frequency part of the predictor image for filtering. In order to avoid edge blurring, Laplace-Gaussian algorithm was used to construct a new operator into the diffusion model, and the wavelet coefficients were reconstructed to obtain the final approximation of the original image. Secondly, a block matching denoising model based on shear wave was proposed. In order to avoid ill-conditioned problem, The multi-scale geometric analysis method using shearlet transform can improve the edge protection ability, and a block matching denoising model based on shearlet is proposed. The new model predicts the scaling threshold according to the statistical characteristics of the histogram, performs hard threshold filtering on the high-frequency sub-band to obtain the processed sub-band coefficients, and performs block matching 3D filtering on the decomposed low-frequency sub-band coefficients to obtain the processed coefficients. All processed subband coefficients are inversely transformed and reconstructed to obtain a denoised image. The analysis and simulation results showed that the two new models can effectively suppress noise and improve the clarity, and the block matching denoising based on shear wave had more advantages.

 
An Improved Recognition Method of EMU Surface Apron Board Defects Based on Depth Learning
Authors: Li-Li Zhang Li-Li Zhang , Li-Li Zhang Chuan-Bao Zhang , Chuan-Bao Zhang Geng Li
Published: March 2023

EMUs play an important role in the rapid development of China’s economy, so ensuring the safety of high-speed EMUs has been a research issue for relevant experts and scholars. Because the defect change of the motor car apron will lead to the stability of the whole motor car running on the side, this paper takes the motor car apron defect as the recognition object, and proposes to add feature reasoning module to the typical convolutional network model to improve the ability to identify occlusion defects by solving the problem that the traditional recognition model cannot identify the features of occlusion and stacking and the status quo that cannot be identified under a small number of samples, Then the meta learning mechanism is incorporated into the model to realize the recognition under the condition of few samples in the dataset. Through experimental comparison, it is proved that the performance of the improved recognition network algorithm in recognition accuracy and recognition speed is improved as a whole.

 
Keefektifan Model Predict-Observe-Explain terhadap Kemampuan Pemahaman Konsep pada Mata Pelajaran IPA
Authors: Astuti Marisa Rizqi , Sulianto Joko , Purnamasari Veryliana
Published: March 2023

The background that encourages this research is comprehending the concept of fifth grade students in science subject very low. The objective to be achieved in this research is to know the differences in the ability of comprehending the concept of science in the fifth grade students of SDN 05 Telukwetan Jepara between learning using POE and learning model using conventional method. This research is an experimental research belongs to quantitative method. This research used True Experimental design. The type of the design is taken Posttest-Only Control Design. Based on the results of the research data analysis capabilities using the concept comprehension test two parties, obtained by tcount = 3.5259, and t_table = 2.0154 with a significance level of 5% by dk = n1 + n2 - 2 = 23 +23 - 2 = 44. Based on the results of the analysis, obtained tcount ttable is 3.5259 2.0154 then Ho rejected and Ha accepted. Thus, we can conclude that there are differences in the ability of science to the students' comprehending the concept of learning used POE and learning model using conventional method.
Implementasi Pendidikan Karakter Lokal Kasundaan Berbasis Kebijakan SPBS di Kabupaten Sumedang Jawa Barat
Authors: Nurjaman Omay Komara , Julia Julia
Published: March 2023

This study aims to analyze the implementation of policy on kasundaan character education based on Sumedang Regent regulation about Sumedang Puseur Budaya Sunda (SPBS). The method used was a survey to the elementary school students, which was completed with interviews and FGD. The results of the study found that: (1) SPBS was only instructed in the "SKPD" environment only in the form of Thursday using kasumedangan dress and Sundanese language, (2) no education design of kasundaan characters in elementary school, (3) the majority of elementary school students already have the expected behavior in the context of kasundaan values based on Regent's regulation on SPBS. However, a few other minorities, in fact, show the unexpected behavior that potentially leads the students to negative behavior. Thus, it can be concluded that the implementation of kasundaan character education in elementary school in Sumedang conducted only based school curriculum in spite of Regent’s regulation.
Pengembangan Buku Kendali Kedisiplinan Siswa Sekolah Dasar
Authors: Rahmawati Puji , Jerusalem Mohammad Adam , Lidyasari Aprilia Tina
Published: March 2023

This study was aimed to create a disciplinary control book for elementary school students to control student discipline. This research is a developmental research based on the developmental model of Borg and Gall. Product feasibility was obtained through validation activities from material and media experts. The validation results of media experts showed an average score of 3.75, and material experts showed an average score of 3.15. This score was classified in good category, so that the disciplinary control book products were worth testing for elementary school students. Product feasibility trials were carried out through initial trial and limited field trials. While the assessment of product effectiveness was carried out through extensive field test activities. The results of the initial field trial, small group trial, and field test showed that students' discipline increased after being controlled by using disciplinary control books with a good average score category. Thus, it can be concluded that the disciplinary control book of elementary school students is feasible and effective in controlling elementary school students’ discipline.
The Effectiveness of Learning Basic Concepts of Art for Primary Teacher Education Students Using Nomor Acak Learning Model
Authors: Zufriady Zufriady , Kurniaman Otang
Published: March 2023

The nomor acak learning model is done by randomly giving number to each student and making them remember it from the beginning to the end of the lecture. The function was to make each student be more active in the teaching and learning activities, since they must be prepared with their respective material if the number was called. This research employed a quasi-experimental research method with one group pre-test/post-test design. The determinant coefﬁcient data of the effect of nomor acak models on the effectiveness of primary teacher education students obtained a class A data of 58.21%, class B of 36% and class C of 23%. This research was conducted at the primary teacher education program for six months in the Basic Concepts of Art courses to students of 2018. It could be concluded that the nomor acak learning model could improve the learning outcomes of students of the primary teacher education program in the Basic Concepts of Art course.
Developing a Technology-supported Learning Model for Elementary Education Level
Authors: Wang Qiyun
Published: March 2023

Technology has been increasingly used to promote students’ engagement in online learning environments. Engagement refers to the students’ commitment or effort involved in learning. Engagement often has various categories such as behavioral, emotional, and cognitive engagement. In this paper, a technology-supported learning model is proposed for the purpose of promoting students’ engagement in online learning. This model is composed of three key components: pedagogical design, social design, and technical design. Pedagogical design aims to achieve predefined learning objectives through well-designed instructional strategies and learning activities so that students can be behaviorally engaged (e.g., high participation, active exploration) and cognitively engaged (e.g., asking questions, giving evaluative comments). Social design is to create a comfortable and friendly setting where students are willing to interact with peers and/or with the teacher so that emotional engagement (e.g., positive social relationship between students and the teacher) and cognitive engagement (e.g., knowledge construction) can be attained. Technical design intends to create a usable platform that students can easily manipulate without technical difficulties.  All these designs must take the context (e.g., elementary education level) into careful consideration.
Implementation of the 2013 Curriculum for Science Learning
Authors: Rohmatulloh Ana , Prasetyo Zuhdan Kun , Pambudi Haryo Aji
Published: March 2023

This research aims at describing the 2013 Curriculum implementation for science learning on the planning, classroom implementation, and assessment stages, as well as the obstacles faced by teachers and their efforts to overcome them. This qualitative research was by involving Grade 4 teachers, students, and the principal of a primary school in Yogyakarta as the research subjects. The research object was the activities carried out in the curriculum implementation. The data collection instruments include observation sheets, interview guidelines, questionnaires, and analysis guidelines. The data were analyzed through data reduction, data display, and conclusion. The data validity was tested using triangulation techniques. The research found that the planning stage include studying the syllabus and teacher’s books then outlining the steps of the activities with the scientific approach; the teachers had integrated the science learning with other subjects under a theme; and the scientific approach was employed through observing, questioning, experimenting, associating/reasoning, and communicating. However, the overall implementation of the 2013 Curriculum had not been optimal yet. The teachers had used authentic assessment to assess the students' attitudes, knowledge, and skills, but they rarely used assessment instruments and rubrics. The obstacles faced by teachers were in the planning, classroom implementation, and assessment stages.
Influence of VBA-based Monopoly Game in Microsoft Excel as Teaching Material on Primary School Students' Cross-Cultural Competence in Social Studies Learning
Authors: Rahayu Galih Dani Septiyan , Arga Hana Sakura Putu
Published: March 2023

The background of this research is based on diversity of Indonesia in terms of social, cultural, religious, language and ethnic groups. The specific problem in this research lies on the diversity of students in one public elementary school in Cimahi City, situated in the area of the Indonesian Army. Therefore, this research seeks to investigate the difference in improvement of students cross cultural skills between learning using VBA (Visual Basic of Application)-based Monopoly game teaching materials in Microsoft Excel and conventional learning. This research aims at improving students cross cultural skills, and observing the differences or disconnection of the improvement of students cultural skills between learning using VBA-based teaching materials and conventional learning. This research employed a quasi-experimental method with a non-randomized pretest-posttest control group design. A quantitative observation instrument in the form of a checklist was used as the research instrument. The results revealed that both learning using a teaching material of VBA-based Monopoly in Microsoft Excel and conventional learning were able to improve the students cross cultural skills. However, based on the result of N-Gain test, learning using teaching material of VBA-based Monopoly game in Microsoft Excel was better than conventional learning.
Factors Responsible for Students' Lateness to School as Expressed by Nigerian Teachers in Elementary Schools
Authors: Adegunju Kabir Adewale , Ola-Alani Eniola Keji , Agubosi Lydia Akunna
Published: March 2023

Students lateness to school is one of the challenges faced by school administrators. This research therefore investigated the factors responsible for students lateness to school as expressed by Nigerian teachers in elementary schools. The influence of moderating variables of sex, years of teaching experience and educational qualification on the respondents expressions was also considered. The study is descriptive in nature and sampled 200 Nigerian teachers in elementary schools. An instrument titled Factors Responsible for Lateness to School Questionnaire (FRLSQ was adopted to gather data. The descriptive and inferential statistics were used as methods of data analysis. It was revealed that the factors responsible for students lateness to school as expressed by Nigerian teachers in elementary schools are poor preparation for school, going late to bed, distance of school from home, high level of poverty, peer pressure, single parenting among others. It is concluded that the factors responsible for lateness to school are enormous. Practical solutions were therefore recommended.
Learning of Reading Comprehension through Reading Workshop in the Industry 4.0
Authors: Setiyadi Ruli , Kuswendi Uus , Ristiana Muhammad Ghiyats
Published: March 2023

Reading comprehension is still considered as a part of new literacy required to encounter the Industry 4.0. Reading comprehension in this era is related to reading the data presented in technology. In addition to students ability to understand readings, students sort positive and negative information in a reading through reading comprehension. Students can also get used to utilize the internet access to read various information and stories. Therefore, the presence of the Industry 4.0 is considered to not have negative effects on students. This research focuses on examining the online magazine-based reading workshop model towards the improvement of fourth grade students reading comprehension skills. The research employed quasi experiment methods with a nonequivalent group design. The research sample was selected purposively from fourth grade students in primary schools in Cimahi City. The data were collected using the test of reading comprehension skills and were analyzed using inferential statistics with the assistance of the SPSS 21.0 program. Through this research, the researchers are expected that the online magazine-based reading workshop model has an effect on the improvement of the fourth-grade students reading comprehension skills.
Influence of Environment-based Learning Materials to Improve the Eco-literacy of PGSD Students
Authors: Arga Hana Sakura Putu , Rahayu Galih Dani Septiyan
Published: March 2023

Human concern on the environment is unfortunately seen decreasing, which has resulted in negative environmental damages caused by human actions. To address this issue, this research seeks to see the influence of environment-based teaching materials in social studies learning to improve the eco-literacy of students of primary school teacher education (PGSD, Pendidikan Guru Sekolah Dasar) study program. This research involved third semester 60 PGSD students of a private university in Bandung Regency, Indonesia. Therefore, this research investigated the differences of environment-based learning materials and conventional learning in improving the eco-literacy of PGSD students. This research used a quasi-experimental method with nonrandomized pretest-posttest control group design and used quantitative observation instruments in the form of checklists to obtain the data. The results revealed that by using environment-based learning resources, the social studies learning could improve the eco-literacy of PGSD students, and was considered better than implementing conventional learning.
Profile of Off-task Behavior in Primary School Students
Authors: Saripah Ipah , Widiastuti Haning Tri
Published: March 2023

As an effort to achieve the developmental tasks of primary school age children, they are expected to obtain the basics of knowledge that are considered important to successfully adapt to adult life, and learn various important skills. However, there were several aspects that inhibit the achievement of the developmental tasks, for instance, off-task behavior, in which students disengaged from the learning environment by performing unrelated behavior. The occurrence of off-task behavior phenomena in primary school students needs to be addressed. Therefore, this research aims at investigating the profile of off-task behavior in primary school students. This quantitative research was conducted using the instruments of off-task behavior. This research involved 25 fifth grade primary school students in one private primary school in South Jakarta. The research results revealed that there were 60% of the students who were categorized performing moderate rate of off-task behavior with motoric aspect was the highest rare (38.7%).
Survey of the Implementation of Professional Learning Community (PLC) Program in Primary Schools
Authors: Sunaengsih Cucun , Komariah Aan , Isrokatun Isrokatun , Anggarani Mayang , Silfiani Sindy
Published: March 2023

This research aims at illustrating the implementation of Professional Learning Community (PLC) programs, which later will be used to be the basic data for the preparation of PLC program design that is applicable and easily implemented by the teachers. The low contribution and discontinuity of teachers in the PLC programs in primary schools have impacted on the lack of optimization of the PLC programs as a support for sustained improvement of teacher professionalism. This research employed a descriptive research design with a survey approach involving 52 primary school teachers in Sumerdang Regency. The research results revealed that even though the teachers’ understanding of the PLC program objectives was very high, the teachers’ understanding of the PLC program mechanism was still low. Thus, this resulted in the low level of the implementation of the PLC program in primary schools, both in programs and regulations. Therefore, further research is expected to produce the operational, structured, and applicable PLC programs in order to increase the teachers’ participation in implementing the PLC programs for improving teacher professionalism, and having a real impact on the improvement of the quality of learning in primary schools.
Prediction of secondary components in sugarcane brandy by application of artificial neural network
Authors: Rayane do Nascimento Mendes  , Ramana Patricia dos Santos Machado  , Gerson de Freitas Silva Valente  , Gilma Auxiliadora Santos Gonçalves  , Wellington de Freitas Castro
Published: March 2023

This study aimed to use artificial neural networks to predict the secondary components of sugarcane brandy. We got data on the characteristics of sugarcane brandy from the literature. We divided this data into input data and output data. Secondary components in sugarcane brandy were the output data. The architecture used for artificial neural networking was the multilayer feed-forward network, which features a hidden layer. These hidden neurons have the role of intervening between the input and output layers of the network. We separated the data into 70% for training and 30% for tests. The artificial neural network transfer function was Relu, with Adam as the training algorithm for weight change with a constant learning rate. The number of neurons in the hidden layer was determined using the mean square error. Twenty neurons in the hidden layer were analyzed and considered appropriate, since in the artificial neural network with a greater number of neurons, we observed no significant variation in the reduction of error.
IgG4-related inflammatory pseudotumor of the liver presenting as an incidental solitary liver mass
Authors: Omer Mirghani Mohammed , Zia Zergham , Haytham Mawardi Mohammad , Almansouri Zuhoor , Ahmad Niaz
Published: March 2023

Inflammatory pseudotumor is increasingly being recognized as a definitive pathological entity affecting many organ systems and often difficult to distinguish from malignancy. We report a case of a 48-year-old female who presented with right hypochondrial pain associated with nausea and vomiting and recent weight loss. An ultrasound scan demonstrated gallstones without evidence of cholecystitis and an incidental 1.5 cm mass in the left liver lobe. A computed tomography (CT) and a magnetic resonance imaging (MRI) scan described the mass suspicious of a malignant tumour. An ultrasound-guided biopsy confirmed a benign inflammatory mass with lymphoplasmacytic infiltration staining for IgG4 and no evidence of malignancy. The patient had an elevated serum IgG4 levels. The patient was kept under surveillance. She underwent a laparoscopic cholecystectomy and at 18 months following the initial presentation the patient remains asymptomatic with stable liver lesion on ultrasound scan.
IMPACT OF CPEC ON SUPPLY CHAIN MANAGEMENT OF SMES IN PAKISTAN
Authors: Kamran Hyder , Mahmood Mudassar , Al Shamsi Ibrahim Rashid , Al Zadjali Afra Abdul Ghani
Published: March 2023

This study intends to understand the effect that the proposed China-Pakistan Economic Corridor or CPEC project will have on the Supply Chain Management of SMEs in Pakistan when it finally gets completed. It has been decided that as research methodology, both primary and secondary data shall be taken into consideration. Therefore, interview of selected group of respondents from SCM that are established across the CPEC belt region in Pakistan has been considered.  Since this is necessarily a qualitative research, thematic analysis format shall be used for interpreting the collected data and predicting the results.
IRONY OF INDONESIAN INTERNET SHOPPING BEHAVIOUR AND WHAT E-COMMERCE SHOULD PURSUE IT
Authors: Tamara Dewi , Singgih Yasa Paramita , Gemellita Menathi Gantary
Published: March 2023

Current research from Hootsuite & We Are Social (2018) showed that Indonesia is one of the countries with the highest number of internet users in the world. However, only 21% are making purchase through e-commerce. It leaves 79% of potential consumers to be acquired. Such a big business potential stimulate a question, how can this be? And further question, how e-commerce marketer can tap in this big untouched opportunity? The study will try to list on the factors affecting purchase decision through online platform and the online consumer behaviour. Then, study the market through Yasa Singgih’s, the owner of Men’s Republic (an Indonesian fashion e-commerce founded in 2014), Instagram followers about their preferences, expectation, and holdbacks to do online purchase and to get deeper understanding by interviewing ten people from survey population. The result shows that some of them are already purchasing things from e-commerce however system adoption and trust issues are still the main holdbacks. Finally, the paper conclude that there are five things can be done to tap-in the potential market: to focus marketing on the most digital literate customers (millennials and Gen-Z), to use social media as marketing and communication channel (both before and after sales), provide better back-end (database and preferences) and front-end security (product quality and delivery time), and last but not least to urge government and telecommunication companies to enhance connectivity quality (speed and coverage).
CUSTOMER LOYALTY AND SATISFACTION IN MUTUAL FUND PORTAL: DESIGN FEATURE, SERVICE QUALITY AND PRODUCT VARIETY
Authors: Tamara Dewi , Fakhruddin Ahmad
Published: March 2023

The purpose of this paper is to examine relationship the customer loyalty to customer satisfaction to portal design features and customer service quality of Mutual Fund Online portal in Indonesia. This relationship is important as a marketing strategy to attract and retain customers by leveraging digital technologies to extend Mutual fund online selling portal product, services, and delivery capabilities in Indonesia.

Research Methodology. The research method of this study is based on quantitative approach, particularly by disseminating online questionnaire survey using google forms was distributed through Social Media such as WhatsApp Group of Mutual fund company network and communities and Instagram and Facebook community Mutual fund online Investors. Nonprobability sampling technique is used by selecting individual mutual fund investor who have experience in investing mutual fund via online as survey respondents. Survey result data then analyzed by performing Structured Equation Model (SEM) by using SMARTPLS.

Findings: The research findings show Information quality, portal firmness give significant positive affect to the portal design features of mutual fund online portal. Portal design features, and product variety offered will give significant positive influence on Customer satisfaction. Customer loyalty of mutual fund online portal predominantly influenced by Customer satisfaction and product variety of the portal. 

Originality/Value: This paper can be used by Mutual fund companies (Investment Managers and Selling agents) to know what are the important design features to satisfy online investors in developing their online selling platform or to add the competitive advantage of their existing online selling portals. It also can be used by mutual fund online investor as reference in choosing their mutual fund online selling portal. Finally, this paper is to contribute to the literature of digitalization of mutual fund in Indonesia to understand the mutual fund online investor behavior and preference in Indonesia.
SOCIAL MEDIA AND GAMIFICATION ON LEARNING EFFECTIVENESS
Authors: Hadi Andi Kusuma , Azis Khoirul , Tamara Dewi
Published: March 2023

Along with the times and technology, learning is also experiencing adjustment phases, both in terms of methods and media. In general, obstacles in the learning process are inseparable from both. This paper aims at two things; first, see the participants' interest if learning is carried out with e-learning. Second, how the impact of the use of social media and gamification methods on the effectiveness of learning. The method used is a survey and experiment. The survey is used to find out interests or interests in e-learning methods. Experiments are used to see the impact of the use of social media and gamification methods on selected samples. The results of this study are that social media and gamification methods have a positive effect on increasing the motivation and participation of participants when applied in Indonesia. The MODLE group showed an increase in effectiveness as indicated by an increase in the results of the evaluation of learning. E-learning method supported by social media and gamification strategies can increase learning effectiveness. Participatory and consolidation atmosphere through community of practice should be created to produce positive effect on learning effectiveness.
THE ROLE OF FORENSIC ACCOUNTING AS A TOOL IN THE FIGHT AGAINST FINANCIAL CRIMES
Authors: Dr. Chesoli  , Wafula Joshua
Published: March 2023

Financial crime is defined as crime that is specifically committed against property. These crimes are almost always committed for the personal benefit of the criminal, and they involve an illegal conversion of ownership of the property that is involved. Financial crimes can occur in many different forms, and they happen all over the world. Some of the most common crimes facing the financial sector are money laundering, terrorist financing, fraud, tax evasion, embezzlement, forgery, counterfeiting, and identity theft. These crimes are committed every single day, and governments across the globe are constantly prosecuting financial criminals while searching for new ones. Forensic accounting utilizes accounting, auditing and investigative skills to conduct an examination into the finances of an individual or business. Forensic accounting provides an accounting analysis suitable to be used in legal proceedings. Forensic accountants are trained to look beyond the numbers and deal with the business reality of a situation. Forensic accounting is frequently used in fraud and embezzlement cases to explain the nature of a financial crime in court and in unveiling crime in both public sector and private sector. Forensic accountants analyze, interpret and summarize complex financial and business matters. They may be employed by insurance companies, banks, police forces, government agencies or public accounting firms. Forensic accountants compile financial evidence, develop computer applications to manage the information collected and communicate their findings in the form of reports or presentations. This study examined the role of forensic Accounting as a tool to fight financial crimes. The main objective is to examine the role of forensic Accounting as a tool in the fight against financial crimes. The specific objectives include: litigation support and investigative accounting. Survey research design was used because descriptive studies are characterized as simply the attempt to determine, describe or identify what is, while analytical research attempts to establish why it is that way or how it came to be” and data was collected using a 5 point Likert scale questionnaires. In analyzing data both descriptive and inferential statistics were employed. The results showed that forensic Accountants are relevant in investigating crime and they also play a significant part in litigation support. Recommendations amongst others were that professional Accountants should keep themselves abreast with emerging trends in unveiling crime.
INNOVATION PROCESS OF THE MONGOLIAN HIGHER EDUCATION INSTITUTION AND ITS DEVELOPMENT PERSPECTIVE
Authors: Gungaa Baljinnyam , Choijiljav Munkhjargal , Dashnyam Sarangerel , Lkhagva Batjargal
Published: March 2023

Higher education institutions are part of the sub system that is to create knowledge base for the Mongolian national innovation system. Innovation process of the higher education institution aims at applying innovation into practice for the purpose of improving profitability, competitive edge, and productivity; undertaking activities to improve the quality of higher education, significant process improvement and the main outcome will be economic benefits and improvement in the social wellbeing.
PERFORMANCE OF CONSTRUCTION SERVICES SECTOR COMPANIES ON THE INDONESIA STOCK EXCHANGE IN THE PERIOD BEFORE THE COVID-19 PANDEMIC AND DURING THE COVID-19 PANDEMIC USING SHARPE, TREYNOR AND JENSEN RATIO
Authors: Tamara Dewi , Setyawan Devri , Kristalisa Arini , Dwisana Mahendra
Published: March 2023

This study aims to compare the return and risk on shares of Construction Services Sector Companies in the period before and during the COVID-19 pandemic in Indonesia. The research method used was a quantitative method with a descriptive approach using secondary data with 15 samples of companies selected by the non-probability sampling method with the use of purposive sampling technique on the IDXINFRA stock index of the Indonesia Stock Exchange ("IDX"). The period considered in this research was before the COVID-19 pandemic from March 11, 2019 until March 1, 2020 and during the COVID-19 pandemic which was from 2 March 2020 – March 1, 2021. The measurement of investment return and risk was carried out using the Sharpe, Treynor, and Jensen Ratio methods. Then the data were tested by using T-Test (Different Test) to see if there is a significant difference between the two data. The results showed that the performance seen from the risk adjusted return of the Construction Services Sector Company during the COVID-19 Pandemic was better than the Performance of the Construction Services Sector Company before the COVID-19 pandemic. The different tests results showed a significant difference between the results of the Sharpe, Treynor, and Jensen Ratio before the COVID-19 pandemic compared to the results using the Sharpe, Treynor, and Jensen Ratio during the COVID-19 Pandemic. The best performance before the COVID-19 Pandemic were performed by; 1) PBSA (Sharpe Ratio), 2) JKON (Treynor Ratio), and 3) ACST (Jensen Ratio) while the best performance during COVID-19 was performed by; ACST (Sharpe Ratio, Treynor Ratio, and Jensen Ratio).
MEASURING PERFORMANCE OF RISK-RETURN IN RESIDENTIAL AND COMMERCIAL REAL ESTATE INVESTMENTS IN SOUTH-SOUTH, NIGERIA
Authors: Effiong James Bassey , Ogbuefi Joseph U.
Published: March 2023

The study measures the risk-return performance of residential and commercial real estate investments in South-South, Nigeria from 2009 to 2018. The study adopted the survey research design and purposive sampling technique was used to select estate surveying and valuation firms. Data was analysed using mean total returns, standard deviation and analysis of variance. The test of the first hypothesis indicates that residential real estate investment in Port Harcourt has the highest mean total return and performed better than Calabar and Uyo and implies that total returns of residential real estate investments are significantly different in the study area. For commercial property, Uyo outperformed that of Calabar and Port Harcourt in terms of return. The second hypothesis results indicate that location of property is a significant determinant of risk. The result shows that the mean risk in Port Harcourt for residential real estate investment is significantly different from the risk in Calabar and Uyo. This implies that there is significant difference between risks of residential properties in the study area. For commercial property investment risk, the result shows the risks of investment in offices are higher than shops. For location, Uyo commercial properties produced the highest risk.
THE ADAPTIVE RESPONSE DURING COVID-19 PANDEMIC: INDONESIAN CONSUMER CASE
Authors: Furinto Asnan , Sumirkan Janty , Afrihan Muhammad Dhany , Tamara Dewi
Published: March 2023

A critical circumstance we have around the world include Indonesia since March 2020 named the COVID-19 pandemic, with the lockdown, semi-lockdown situation, and social distancing impacted economic instabilities of the nations and change in market dynamics. As we know, market competitiveness, economic integration, and growth are driven by consumers. This crisis makes consumers worldwide, including Indonesia, experience behavior transformation, improvise and learn new habits. Despite the situation, this research would like to examine more deeper how consumers in Indonesia respond to threats such as the COVID-19 pandemic that disrupt consumers’ routine and lives and the immediate effects of the COVID-19 pandemic on consumption and consumers’ behavior in Indonesia. This research conducts a structured interview with twenty-three informants with open-ended questions to get qualitative data as primary data and secondary data from magazines, national newspapers, and the internet.  This research aims to formulate consumers’ adaptive response in Indonesia in more detail by having a unique country specific framework. The empirical findings of this research identified that the COVID-19 pandemic is external threat that bring disruption and utter unique responses to Indonesia’s consumers with storehouse, pent-up demand and accepting digital technology.  In addition, this research could also help company to develop specific business strategies to support consumers and country in this pandemic situation.
STUDY ON THE BEHAVIOR OF POLYMERIC MESH MODIFIED FERROCEMENT UNDER IMPACT LOADING
Authors: Hafiza Rubaiyet , Hossain Sarkar Akhter , Sameen Shafinaz
Published: March 2023

This study concentrates on determining the impact strength of polymeric fiber mesh reinforced ferrocement, under low velocity impact load. The Low-velocity impact study has been conducted on 250 mm square ferrocement slabs. The concept of using polymeric wire mesh is to reduce the corrosion of iron wire mesh, which is one of the major reasons for deterioration of ferrocement. The test procedure has been conducted on fifty four specimens including four different types of iron wire mesh and two types of polymeric mesh, with varying mesh layers from one to three. Results emphasized that the impact energy absorption increases with the raise in the number of polymeric mesh layers and the crack widths are least in amount and size compared to the specimens incorporated with iron wire mesh.
SPIDER HEXAPOD ROBOT BASED ON STM32F429
Authors: Weiqi Wang , Aogang Wang , Huaxiong Dong , Yuxin Zhu
Published: March 2023

A multi-legged intelligent walking robot was developed for the purpose of industrial inspection in this paper. The robot described in this article is STM32F429 as the main control chip, equipped with ultrasonic module for automatic obstacle avoidance, gyro module for direction designation, voice module for command control, temperature and humidity, camera sensor for data collection, through the serial port to the rudder with atmega328 chip The machine control board sends the serial port commands to form a closed-loop automatic control to realize the integrated control of 18 servos, and achieve the purpose of automatically inspecting and collecting environmental data in real time in the factory.
SHALLOW SEISMICITY AND FLUID EXPLOITATION IN THE NORTHERN BURGOS BASIN (NUEVO LEÓN, MÉXICO)
Authors: Rodríguez-Martínez Juan M. , A. Rossello Eduardo , Cruz López Arquímedes , E.Arriaga-Díaz de León Lilia , Eugenio Bermúdez-Cerda Javier
Published: March 2023

This paper examines the relationships between recent shallow seismicity and exploitation of fluids in the northern Burgos Basin where cumulative seismic events recorded in the State of Nuevo Leon reach a total of 304 earthquakes between 2006 and 2016. In detail, 2 to 5 yearly events occurred from 2006 to 2011; but a later remarkable increase was evident as follows: 89 in 2012, 69 in 2013, 75 in 2014, 31 in 2015 and 27 in 2016. This behavior doesn’t match the random fluctuations from natural seismicity rates. A statistical analysis allowed us to determine that the sequence of earthquakes after 2011 could be related to the activity of exploratory wells in the Burgos Basin, which were drilled down to the Pimienta (Upper Jurassic) and Agua Nueva (Upper Cretaceous) shale gas plays. The epicenters located in the State of Nuevo Leon, in the municipalities of China, General Terán, Montemorelos and Los Ramones, were associated with the Upper Jurassic Pimienta and Upper Cretaceous Agua Nueva shale gas fields. Only 17 earthquakes had magnitudes ranging from 4.0 - 4.5 Richter  magnitude and those were associated with the exploratory wells Anhelido-1, Arbolero 1, Batial-1, Durian-1, Kernel-1, Mosquete-1,  Neritas-1, Nuncio-1, Serbal-1 and  Tangram-1. The hypocenters correspond to the depth at which the Pimienta and Agua Nueva Formations lie; hence, sharp changes in the minor shock frequencies were considered as indicators of induced seismicity related to hydraulic fracturing for fluid extraction. The scatterplot of the frequency and magnitude of events for 2009-2014  shows slopes between -7.0963 to -1.1538 that were considerably more negative than the   natural seismicity values which span from 0.75 to 0.9.  The slopes for 2012, 2013 and 2014 are negatives (-7.0963, -0.3656 and -0.1333), respectively. These dramatic changes in increasing of the minor shock sequences in the Burgos Basin allow us to be considered as indicators of induced seismicity due to fluid exploitation. This  interpretation is based on the frequency and magnitude of shocks which achieve values  of hydraulic fracturing-induced   earthquakes associated with anthropogenic fracking,  similar to other seismicity data obtained in different parts of the world where this Technique is applied.
RESEARCH ON SHIP ENGINE ROOM MONITORING AND FAULT DIAGNOSIS SYSTEM BASED ON LABVIEW
Authors: Ming-qian Wang
Published: March 2023

The structure of marine engine room system is complex, with many fault sources and abundant symptom parameters. There is no simple correspondence between faults and symptoms, but they are interrelated and intricate. The existing fault diagnosis of ship engine room is mostly based on expert system, but the bottleneck of knowledge acquisition, lack of learning ability and the complexity and efficiency of the expert system are restricting its further development. In order to overcome the above shortcomings of expert system, the support vector machine (SVM) is introduced into the expert system, and the support vector machine (SVM) is used to solve the problem of small sample self-learning ability and high-dimensional space self-adaptation ability. The expert system is used to achieve the automatic knowledge acquisition and rapid logical reasoning. Knowledge base management and maintenance, symbolic reasoning and related explanations, and give full play to the advantages of both SVM and expert system. Finally, the fault diagnosis of marine diesel engine booster system is introduced as an example. The MATLAB Script is used to call the MATLAB SVM analysis toolkit, and the combination of SVM and expert system is used to diagnose the fault.
RESEARCH ON TARGET RECOGNITION OF COMBAT ROBOT BASED ON OPENCV
Authors: Xu Jin
Published: March 2023

With the wide application of robots in various fields of human life, the research on improving the level of intelligent robot is highly concerned by domestic and foreign scholars. As an important part of intelligent robot, robot vision has been paid more and more attention in recent years. Computer vision technology is the use of image processing technology to make the camera and the human eye to identify, judge, feature detection, tracking and other visual functions. The computer vision system is to create a complete artificial intelligence system which can get the needed information in the plane image or the three-dimensional image data. Opencv plays an important role in the field of computer vision which is a cross platform computer vision library based on open source. The main purpose of this study is: According to the feature recognition and matching of the object, make the camera of the combat robot has the vision through a detection system based on OpenCV visual library to detect and track the moving objects in the line of sight
EFFECT OF SOIL IRRIGATION WITH WASTEWATER ON NI FRACTIONS IN SOME CONTAMINATED SOILS IN EGYPT
Authors: Abdel-Sabour M.F.
Published: March 2023

In this study Ni species were determined using a sequential extraction technique. The method consists of sequential extraction of the soil with different solutions, and it is designed to separate into six operationally defined fractions namely water soluble, exchangeable, carbonate bound, Fe-Mn oxides bound, organic bound and residual fractions. The objectives of this study were to investigate nickel forms in tested soils and to determine the effect of industrial wastewater effluent irrigation on the metal fractions in soil.   Data showed a remarkable increase in all tested Ni-forms in polluted soil. It could be concluded that soil composition has been changed with depth. Especially under such condition whereas, metal soluble organic compounds found in wastewater may precipitate and percolates through soil and may transport soluble Ni with the soil solution.
Public Health Laboratories Response to SARS-COV-2 Diagnostic Testing during COVID Pandemic in Pakistan
Authors: Hasnain Javed  , Rimsha Khan  , Warda Fatima
Published: March 2023

During COVID-19 Pandemic, diagnostic laboratories played a vital role in outbreak investigation, surveillance, patient monitoring, and therapeutic effectiveness, and hampered the transmission cycle globally. In Pakistan, the health department took an initiative to build BSL-III labs at divisional levels. A qualitative study was conducted among healthcare professionals from 13 major public health national-level laboratories through in-depth interviews with key informants to note down the challenges they faced during the COVID-19 pandemic during diagnostic testing. In this study, 77 % of public health laboratories faced sampling, administrative, and leadership issues. 53 % of laboratories have faced the unavailability of well-trained staff and human resources while both the biosafety and biosecurity protocols, and the lack of resources were compromised in 69 % of labs. Some lab staff (54 %) felt the wastage of resources in terms of excessive testing and fake sampling, while others (54 %) discussed a lack of training and work experience issues. As the majority of the technical lab staff was hired in temporary consultancy mode so 61 % of issues were related to late salaries. 38 % of issues were about fake reporting pressure from higher authorities. 69 % had issues with the continuous supply chain of kits, reagents, PPEs, etc. The work environment was not up to the mark of 69 %. High workload and mental health issues were faced by 92 %, while waste management was 23 %, shortage of lab space for massive testing by 38 %, and stigma and discrimination among healthcare workers and the general public due to involvement in COVID-19 testing were felt by 46 %.
High Burden of Multidrug-Resistant Bacteria Detected in Different Water Sources Can Direct the Spread of Antibiotic Resistance Genes in the Environment
Authors: Hafiza Jawairia Hashmi  , Nazia Jamil
Published: March 2023

Antibiotic-resistant bacterial infections are of global concern nowadays. Environmental sources like water and soil are playing a key role in spreading antibiotic-resistance genes to humans, animals, and other environments. Objective: The purpose of this study was to identify and report the presence of multidrug-resistant bacteria (MDRs) in environmental water sources that can direct the spread of resistant genes to other bacteria/environments. Methodology: Environmental water samples were collected from 2 livestock farms and a fish pond. Bacterial isolation and identification were carried out by following Burgey’s manual of systematic bacteriology. Antibiotic susceptibility testing was done using the disk diffusion method and CLSI guidelines. Multiple antibiotic-resistant indexes were calculated. Whole genome sequences of previously reported bacteria were downloaded from NCBI to detect the resistance genes associated with phenotypic drug resistance and compared using the bioinformatics approach. Results: Microbial load was significantly high in all water sources. Following Genera were the most common: Klebsiella, Escherichia, Proteus, Serratia, Acinetobacter, Enterobacter, Pseudomonas, Bacillus, Lactobacillus, and Staphylococcus. Out of 10 classes of antibiotics, resistance against 8 classes were identified. Multiple Antibiotic Resistance (MAR) index range of isolated strains was between 0.4 and 0.9. Key Findings: Resistance against beta-lactam antibiotics was highest in our isolated strains with a MAR index of greater than 0.4 altogether. Conclusion: High burden of multidrug-resistant bacteria were detected in all water samples which can trigger the silent pandemic of antibacterial resistance.