bluuebunny/crossref_metadata_2025 huggingface dataset:
Inventory of clams (Tridacnidae) on Biang Island, Matak Village, Kute Siantan District, Anambas Islands Regency, Riau Islands, Indonesia
Authors: Buhari Pajrin , Susiana Susiana , Jumsurizal Jumsurizal
Published: July 2022

Research on the inventory of clams (Tridacnidae) at Biang Beach, Matak Village, Kute Siantan District, Anambas Islands Regency, clams have been included in the CITES list, appendix II. The purpose of this study was to determine the physico-chemical parameters in the Biang Coastal Waters, Kute Siantan District, and to determine the types of clams found in the Biang Coastal Waters, Matak Village, Kute Siantan District. Knowing the Density of Kima in Biang Beach Waters, Matak Village, Kute Siantan District, this research was conducted in March 2021, located in Matak Village, Anambas Islands Regency. sampling using purposive sampling method which consists of 6 points determination of the point based on the distribution of coral reefs as the survival of clams. sampling of clams (Tridacnidae) using Bhentos Belt Transect (BBT), the results of measuring water parameters are still at the threshold of the quality standard of PP RI No. 22 of 2021, The highest density was in the clam species Tridacna crocea with a density value of 714.29 ind/ha at point 6 (six), then the lowest density value was at point 3 (three) with a value of 142.86 ind/ha, The highest density was at Kima Tridacna maxima species with a density value of 1,285.71 ind/ha at point 6 (six) then the lowest density value was at point 5 (five) with a density value of 500.00 ind/ha, while the density value at the clam species Tridacna squamosa, with a value of 142.86 ind/ha, was found at point 6 (six) and the density value of the species Hippopus hippopus with a value of 71.43 ind/ha was at point 3 (three).
Analysis of Ornamental Fish Marketing before and during the covid-19 pandemic in Balang Baru Village, Makassar City
Authors: Ummung Andi , Roswiyanti Roswiyanti , Asgar Muhammad Adam , Massiseng Andi Nur Apung
Published: July 2022

Ornamental fish is one of the largest foreign exchange earners that have a strategic role in the Indonesian economy. During the COVID-19 pandemic, almost all economic sectors experienced a decline, including the marine and fisheries sectors. This study aims to examine how the impact of the COVID-19 pandemic on the marketing of ornamental fish in Balang Baru Village. The results showed that sales of ornamental fish before the pandemic were sold on a large scale with relatively uniform sizes and prices, while during the pandemic, sales were mostly done on a small scale or per head with prices that varied depending on size and color
Conditions of sex ratio and growth patterns of craft (Portunus pelagicus) in the waters of Kawal village, Bintan Regency, Riau Island Province
Authors: Wiradinata Hardi , Susiana Susiana , Muzammil Wahyu , Rochmady Rochmady
Published: July 2022

Business Crab (Portunus pelagicus) Kawal Village waters are waters located in the Gunung Kijang area, Bintan Regency, Riau Islands Province. High market demand for crab fishery commodities that triggers excessive exploitation so that it can have an impact on the sustainability of crab resources. This study aims to determine the condition of the sex ratio and the pattern of crab growth in the waters of Kawal Village, Bintan Regency. The method used in this study is a survey method. The sampling technique was carried out using a random census, in which the researcher immediately went down to the field to take a sample of 176 crabs. The results showed a good sex ratio for female crabs at 52% and male crabs at 48%, which has calculated the Chi-square test which between females and males has a balanced ratio, which results in: X2 count of 33, 2 while X table is 74,975 which if X2 count < X table: male and female sex ratio is balanced. The growth pattern of both female and male crabs in the waters of Kawal Village, Bintan Regency has a negative allometric character where the growth pattern of carapace width is greater than weight growth.
Certificateless Algorithm for Body Sensor Network and Remote Medical Server Units Authentication over Public Wireless Channels
Authors: Taher Bahaa Hussein , Yasir Muhammad , Isiaho Abraham , Nyakanga Judith N.
Published: July 2022

Wireless sensor networks process and exchange mission-critical data relating to patients' health status. Obviously, any leakages of the sensed data can have serious consequences which can endanger the lives of patients. As such, there is need for strong security and privacy protection of the data in storage as well as the data in transit. Over the recent past, researchers have developed numerous security protocols based on digital signatures, advanced encryption standard, digital certificates and elliptic curve cryptography among other approaches. However, previous studies have shown the existence of many security and privacy gaps that can be exploited by attackers to cause some harm in these networks. In addition, some techniques such as digital certificates have high storage and computation complexities occasioned by certificate and public key management issues. In this paper, a certificateless algorithm is developed for authenticating the body sensors and remote medical server units. Security analysis has shown that it offers data privacy, secure session key agreement, untraceability and anonymity. It can also withstand typical wireless sensor networks attacks such as impersonation, packet replay and man-in-the-middle. On the other hand, it is demonstrated to have the least execution time and bandwidth requirements.
Histological study of liver for squirrel (Sciurus anomalus) (Güldenstädt, 1785) in Iraq
Authors: Noor Hussein Yousif
Published: July 2022

The liver (hepatic) is one of the largest glands or organs of the digestive system in the body of living organisms, including rodents, take the squirrel in this study for example. The study and the collection of sources emerged to be put into the hands of those, especially those interested in histological studies, including junior or professionals and veterinarians, knowledge of the stains used in the research and their final results.
In vivo chemosuppressive activities of combinations of four Nigerian ethnomedicinal antimalarial ferns
Authors: Samuel Akintunde Odediran  , Oluwayomi Rebecca Akosile  , Racheal Adebola Bamigboye
Published: July 2022

Background to the study: The in vivo antimalarial activities and the effects of combining the methanol extracts of four ferns namely, Nephrolepis biserrata (NB), N. undulata (NU), Platycerium stemaria (PS), and P. angolense (PA) randomly and with chloroquine, was determined. Methods: The four ferns were collected, separately air-dried, powdered and the extracts was obtained by cold maceration with methanol and evaporation in vacuo. They were subsequently investigated (0-800mg/kg) for antimalarial potency against chloroquine-sensitive Plasmodium berghei berghei in mice using the Peters’ four-day test after preliminary toxicity studies, using Lorke’s method. They were further tested separately, combined with chloroquine and randomly combined with each other at their respective median effective doses. Result: NB and PS elicited comparable ED50 and lower activities than NU while PA was the least active. The percentage chemosuppression elicited by all the individual extracts were comparable [p>0.05] to that of chloroquine when combined, with chloroquine and each other, except for NU and PS. Also, NB+PA, NB+PS, NU+PA+PS, NU+NB+PS and NU+NB+PA gave comparable [p>0.05] chemosuppression to CQ. However, NU+PA, NU+CQ and PS+CQ elicited similar survival times and % survivor with chloroquine. The activities of the lower - acting PA and PS was only improved by combination with either NU or NB and did not give better effects than the most active individual drug. Conclusion: The study confirms the ethnomedicinal use of NU and NB for malaria and indicate that combining the ferns did not give any significant increase in activity better than the most active individual or the standard drug.
The diversity of vegetable and fruit fresh traded in the traditional and modern markets in the Bekasi, West Java and its potential
Authors: Ivanna Gordi  , Jendri Mamangkey  , Marina Silalahi
Published: July 2022

The market is a place for buying and selling food plants and rich in information of plant utilization, including vegetables and fruit. This study aims to explain the diversity of vegetable and fruit plants that are traded in traditional and modern markets in the Harapan Indah area, Bekasi, West Java. A total of 67 respondents were interviewed and surveyed in two markets (traditional market and modern market). A total 60 species of vegetable and fruit fresh have been sold in traditional markets and only 43 species in modern markets. Most of the plants belonging Brassicaceae (7 species), Cucurbitaceae (7 species) and Fabaceae (6 species). The part used dominated of fruits (40 species) and followed leaves (18 species). There are far fewer types of fresh fruit traded in the Harapan Indah market in Bekasi (37%) compared to vegetables (67%). The Gnetum gnemom and Artocarpus heterophyllus are very potential to be developed into culinary based on local wisdom as well as nutraceutical.
Socialization of consumer protection against products that harming society
Authors: Doris Rahmat  , Santoso Budi NU
Published: July 2022

Despite the fact that the consumer protection law number 8 of 1999 has been issued on consumer protection, which guarantees the rights of consumers. Sometimes ignored by business actors and sadly consumers also act indifferently in fighting for the rights that must be obtained by consumers who have been protected by law. In Consumer Protection Act Article 29 paragraph 1 of Law No. 8 of 1999 concerning consumer protection it is stated that "the government is responsible for fostering the implementation of consumer protection which guarantees the acquisition of consumer rights and business actors as well as the implementation of the obligations of consumers and business actors.
Land use conversion and its impact on farming community income and environment quality, in Lembah Gumanti District, Solok Regency, West Sumatera Indonesia
Authors: Nefilinda Nefilinda  , Nova Meliarti
Published: July 2022

This study was aimed to analyze the status of land use in Lembah Gumanti District on three time frames in 2000, 2010, 2020 and analyze the impact of land use on people's income and their environment. This research is a quantitative descriptive study by comparing the recorded data both on secondary data published by public institutions and satellite image data as well as primary data collected during the study. The results showed that there had been significant land conversion on land use status at the three points of the year being compared. A sharp decrease occurred in the area of ​​paddy fields and dry land, while on the other hand there was an increase in the status of land use. Satellite imagery data successfully visualize the reduction in the number of water bodies and vegetation which also supports secondary data. On the other hand, there has been a sharp increase in the number of built-up lands, which may be caused by an increase in economic activity and an increase in the need for housing. Land use seems to have an impact in the form of increasing income and community welfare in Lembah Gumanti District, especially in the 2010 to 2020 period significantly. However, land use seems to have a negative impact on environmental status.
Antimicrobial effect of marigold leaves extracts on periodontal pathogens: Invitro study
Authors: Priyanka M  , Gokul Nivas M  , Ranjana devi M  , Anitha V
Published: July 2022

Aim and objective: The aim and objective of this study was to assess the efficacy of Calendula officinalis (Linn.) with commercially available chlorhexidine gel and tetracycline fibers against plaque bacteria so that it can eventually be incorporated into periodontal anti-infective therapy. Materials and method: Plant extract was made by 10 grams of Preparation of plant extract dried and ground leaves were mixed with 100ml of methanol and ethanol used for the extraction. Periodontal ab plus and Hexi gel was used. Antibacterial activity for plaque sample was seen using agar well diffusion method. Results: Minimum Inhibitory Concentration of plaque bacteria at 0.1g/mL by Calendula officinalis (Linn.) was 15mm, chlorhexidine gel was 18mm and Periodontal ab plus was 33mm. periodontal ab plus showed 51 percent more zone of inhibition than C. officinalis leaves extracts and 42 percent more that of chlorhexidine gel. Conclusion: The results of the present study indicate that the C. officinalis extract possessed good antimicrobial potential. This study exhibited the significant antibacterial effect of C. officinalis but less than chlorhexidine gel and tetracycline fibers on plaque bacteria.
The comparison between emotional and informational support: A case study of Shiou Faction in Taiwan
Authors: Li- Yuan Cheng  , Liang- Teng Wu  , Joyce Say
Published: July 2022

Lion dance represented carrying favorable luck to individuals. After the patriot government moved to Taiwan, the inhabitants of the Guangdong Province brought the neighborhood originalities of society exercises (Lion dance) back to Taiwan. Endlessly had effectively opened up the exposure had coordinated a Shiou Faction Lion Dance bunch in Taiwan. By underlining individuals situated advancement, which will cover subjects of social mental learning hypothesis and the four parts of social help. Figuring out how much thickness the people cooperate with one another's, with the assistance of interpersonal organization investigation and chart. The object is to figure out which social help can lead the gathering to be fortitude, and which backing is awesome for the Shiou Faction Lion Dance association.
Sistem Keamanan Pintu Rumah Berbasis Cloud Computing
Authors: Humaira  , Maulana Ibrahim Alfajri , Alanda Alde
Published: July 2022

This door security system is created to monitor the environment around the range of this tool. This system works by using the ultrasonic signal reflection from the distance sensor. This sensor is connected to the database server and recorded in the User Android app. This system uses  Arduino Mega, Wemos D1 R2, distance sensor, camera VC0706, selonoid doorlock, and buzzer. The work of this tool is the sensor will send a ultrasonic signal continuously and then the ultrasonic  reflection will be re-received by the sensor. The distance sensor will be received in Arduino Mega and sent to Wemos D1 R2 using serial software that the data will be sent to the database using the Internet network connected in Wemos.
Keamanan Jaringan Wireless Dengan Kali Linux
Authors: Rasyidah  , Setyawan Fajar , Amnur Hidra
Published: July 2022

Perkembangan  dari  teknologi  wireless  atau  nirkabel  selalu  menghasilkan sesuatu  yang  menarik  untuk  dibahas.  Teknologi  nirkabel  tidak  selalu  membahas tentang seberapa cepat komunikasi yang dapat dilakukan. Masalah keamanan sangat penting untuk dibahas, terlebih dijaman yang serba digital dan serba minimalis yang tidak lagi membutuh kan kabel. Keamanan perlu  diperhatikan untuk memberi rasa aman saat menggunakan perangkat yang terhubung kesebuah Wi-Fi. Untuk itu, perlu dilakukan  analisa keamanan  yang  ada pada sebuah  Wi-Fi.  Analisa ini  dilakukan menggunakan  metode  Penetration  Testing  dengan  melakukan  penyerangan  untuk mencari celah dari sistem keamanan jaringan wifi. Sehingga, akan terlihat kekuatan dari kata sandi yang ada pada  jaringan Wi-Fi. Pengujian keamanan juga dilakukan terhadap jalur komunikasi antar client dan access point. Sehingga dari hasil pengujian ini akan terlihat seberapa aman sistem keamanan jaringan Wi-Fi
Teknologi Virtual Reality pada Media Pembelajaran Proses Pemasangan Kabel UTP Cross dan Straight
Authors: Taufik Gusman  , Muhammad Umar Huzein
Published: July 2022

Virtual Reality adalah salah satu teknologi rekayasa yang bertujuan untuk menciptakan simulasi yang mirip dengan kenyataan. Virtual Rality banyak digunakan untuk keperluan pengembangan game dan pendidikan. Dalam bidang pendidikan, Virtual Reality biasanya digunakan sebagai alternatif sumber pembelajaran suatu materi. Seperti tiruan saluran pencernaan, maka siswa bisa membelajari seluk-beluk dari materi yang dipelajari dengan mudah. Aplikasi proses pemasangan kabel UTP cross dan straight bertujuan untuk mempermudah pembelajaran mahasiswa Jurusan Teknologi Informasi yang masih melaksanakan perkuliahan daring dan digunakan untuk mempermudah mahasiswa dalam memahami cara pembuatan kabel Local Area Network straight dan cross. Pembuatan aplikasi ini menggunakan aplikasi Unity3D yaitu aplikasi yang digunakan untuk membuat aplikasi atau game berbasis virtual reality dan augmented reality. Untuk pembuatan model-model yang akan digunakan, dibuat menggunakan aplikasi blender. Aplikasi Virtual Reality ini akan dijalankan  di google carboard menggunakan smartphone android
Applications of Big Data Analytics in Traffic Management in Intelligent Transportation Systems
Authors: Nguyen Hoang Phuong , Nguyen Phuoc Quy Phong , Bui Viet Duc
Published: July 2022

Big Data technology is emerging as a mass technology that can be applied to many industries in life. Decisions in a wide range of fields may benefit greatly from the information provided by Big Data and Analytics research. One of the areas that have benefited the most from this technology is transportation, which is known as an important field in the development of each nation and possesses a huge treasure of data that traditional technologies cannot handle. Indeed, many countries have applied Big Data-based intelligent transportation systems because it is a traffic system that interacts with vehicles and people on the road, thereby reducing traffic congestion and traffic accidents year by year in many countries. The article presents the applications of Big Data technology in smart traffic systems, thereby providing the perspective of a smart city with a smart traffic system as a critical factor. This paper's analysis indicated that smart cities could be born and further developed through the linkage of Big Data technology and smart traffic systems with smart traffic systems as the core. In addition, the results also showed that the obstacle that needs to be studied at this time is the policy and legal framework for Big Data technology. Therefore, a system managed by the state or shared between the state and the private sector should be studied in the future, aiming to harmonize interests and develop the system extensively.
Study the Field of View Influence on the Monchromatic and Polychromatic Image Quality of a Human Eye
Authors: Qasim Adeeb Mansoor , Aljanabi Mohammad , Kasim Shahreen , Ismail Mohd Arfian , Gusman Taufik
Published: July 2022

In this paper, the effect of the eye field of view (known as F.O.V.) on the performance and quality of the image of the human eye is studied, analyzed, and presented in detail. The image quality of the retinal is numerically analyzed using the eye model of Liou and Brennan with this polymer contact lens. The image, which is in digital form were collected from various sources such as from photos, text structure, manuscripts, and graphics. These images were obtained from scanned documents or from a scene. The color fringing which is chromatic aberration addition to polychromatic effect was studied and analyzed. The Point Spreads Function or (known as PSF) as well as The Modulation Transfers Function (known as MTF) were measured as the most appropriate measure of image quality. The calculations of the image quality were made by using Zemax software. Then, the result of the calculation demonstrates the value of correcting the chromatic aberration. The results presented in this paper had shown that the form of image is so precise to the eye (F.O.V.). The image quality is degraded as (F.O.V.) increase due to the increment in spherical aberration and distortion aberration respectively. In conclusion, then Zemax software that was used in this study assist the researcher potential to design human eye and correct the aberration by using external optics.
Classifying Vehicle Types from Video Streams for Traffic Flow Analysis Systems
Authors: Muâ€™azam Imran B. , Ismail Nor Fatihah , Mostafa Salama A. , Baharum Zirawani , Gusman Taufik , Nasien Dewi
Published: July 2022

This paper proposes a vehicle types classification modelfrom video streams for improving Traffic Flow Analysis (TFA) systems. A Video Content-based Vehicles Classification (VC-VC) model is used to support optimization for traffic signal control via online identification of vehicle types.The VC-VC model extends several methods to extract TFA parameters, including the background image processing, object detection, size of the object measurement, attention to the area of interest, objects clash or overlap handling, and tracking objects. The VC-VC model undergoes the main processing phases: preprocessing, segmentation, classification, and tracks. The main video and image processing methods are the Gaussian function, active contour, bilateral filter, and Kalman filter. The model is evaluated based on a comparison between the actual classification by the model and ground truth. Four formulas are applied in this project to evaluate the VC-VC modelâ€™s performance: error, average error, accuracy, and precision. The valid classification is counted to show the overall results. The VC-VC model detects and classifies vehicles accurately. For three tested videos, it achieves a high classification accuracy of 85.94% on average. The precession for the classification of the three tested videos is 92.87%. The results show that video 1 and video 3 have the most accurate vehicle classification results compared to video 2. It is because video 2 has more difficult camera positioning and recording angle and more challenging scenarios than the other two. The results show that it is difficult to classify vehicles based on objects size measures. The object's size is adjustable based on the camera altitude and zoom setting. This adjustment is affecting the accuracy of vehicles classification.
Design of a Low-area Digit Recognition Accelerator Using MNIST Database
Authors: Kwon Joonyub , Kim Sunhee
Published: July 2022

Deep neural networks, which is a field of artificial intelligence, have been used in various fields. Deep learning is processed on high-performance GPUs or TPUs. It requires high cost as much as its good performance. Recently, as the demand for edge computing increases, many studies have been conducted to perform complex deep learning operations in a low-computing processor. Among them, a typical study is to lighten the deep learning network. In this paper, we propose a handwritten digit recognition hardware accelerator suitable for edge computing using MNIST database. After setting the correction rate for MNIST to 94% and performing network lighting processes, a hardware structure that can reduce the area of hardware and minimize memory access is proposed. Basically, the network is set as a two-layer fully connected network. The network is modeled with Python and lighten while checking the performance. Network parameters, weighs and biases, are quantized. The pixel number and bit number of MNIST input data are also reduced. The number of MAC units and the processing order of the hardware accelerator are determined so that there is no not used MACs while performing the MAC operations in parallel. It is designed with Verilog HDL and its functions are checked in Modelsim. And then it is implemented in Xilinx Zynq ZC-702 to verify the operations. The designed number recognition accelerator is expected to be widely used in edge devices by reducing the area and memory access.
An Android Malware Detection System using a Knowledge-based Permission Counting Method
Authors: Lee Sun-A , Yoon A-Reum , Lee Ji-Won , Lee Kwangjae
Published: July 2022

As the number of cases of damage caused by malicious apps increases, accurate detection is required through various detection conditions, not just detection using simple techniques. In this paper, we propose a knowledge-based machine learning method using authority information and adding its usage counting features. This method is classifying training apps and malicious apps through machine learning using permission features in manifest.xml of Android apps. As a result of the experiment, accuracy, recall, precision, F1 score are 99.01%, 97.70%, 100.0%, 99.01%, respectively. Since Recall is higher than other indicators, it accurately predicts malicious apps as malicious. In other words, the proposed system is effective in preventing the distribution of malicious apps.
Intervention Strategies through Interactive Gamification E-Learning Web-Based Application to Increase Computing Course Achievement
Authors: Mohd Safar Noor Zuraidin , Kamaludin Hazalila , Ahmad Masitah , Jofri Muhammad Hanif , Wahid Norfaradilla , Gusman Taufik
Published: July 2022

This study aims to help students improve their knowledge capability based on their active participation through gamification. Gamification is one of the newer methods of education that has the potential to improve student learning. This research looked into gamification's efficacy in student engagement and learning retention during teaching and learning sessions for computer science or information technology courses. The assessment involved in this study is through Pre-Test and Post-Test through instructional intervention by adapting interactive Quizizz gamification e-learning web-based application. The flow of research works begins with a survey of the problem, pre-intervention analysis, and action was taken during the intervention, ending with the implementation and observation phase. The pre and post-analysis of test results and questionnaires were accomplished and discussed. Fifty-six respondents participate in this study. Results show that 87% of the respondents have increased their percentage of marks. In the pre-test result, 56% of the respondents achieved below the 55 marks, while in the post-test, it reduced to 14%. Adoption of other gamification applications, a larger target demographic, and the addition of computer science or information technology courses will help improve the study in the future.
Avoiding Overfitting dan Overlapping in Handling Class Imbalanced Using Hybrid Approach with Smoothed Bootstrap Resampling and Feature Selection
Authors: Hartono Hartono , Ongko Erianto
Published: July 2022

The dataset tends to have the possibility to experience imbalance as indicated by the presence of a class with a much larger number (majority) compared to other classes(minority). This condition results in the possibility of failing to obtain a minority class even though the accuracy obtained is high. In handling class imbalance, the problems of diversity and classifier performance must be considered. Hence, the Hybrid Approach method that combines the sampling method and classifier ensembles presents satisfactory results. The Hybrid Approach generally uses the oversampling method, which is prone to overfitting problems. The overfitting condition is indicated by high accuracy in the training data, but the testing data can show differences in accuracy. Therefore, in this study, Smoothed Bootstrap Resampling is the oversampling method used in the Hybrid Approach, which can prevent overfitting. However, it is not only the class imbalance that contributes to the decline in classifier performance. There are also overlapping issues that need to be considered. The approach that can be used to overcome overlapping is Feature Selection. Feature selection can reduce overlap by minimizing the overlap degree. This research combined the application of Feature Selection with Hybrid Approach Redefinition, which modifies the use of Smoothed Bootstrap Resampling in handling class imbalance in medical datasets. The preprocessing stage in the proposed method was carried out using Smoothed Bootstrap Resampling and Feature Selection. The Feature Selection method used is Feature Assessment by Sliding Thresholds (FAST). While the processing is done using Random Under Sampling and SMOTE. The overlapping measurement parameters use Augmented R-Value, and Classifier Performance uses the Balanced Error Rate, Precision, Recall, and F-Value parameters. The Balanced Error Rate states the combined error of the majority and minority classes in the 10-Fold Validation test, allowing each subset to become training data. The results showed that the proposed method provides better performance when compared to the comparison method
Classification of Brain Tumors on MRI Images Using DenseNet and Support Vector Machine
Authors: Eko Minarno Agus , Setiyo Kantomo Ilham , Setiawan Sumadi Fauzi Dwi , Adi Nugroho Hanung , Ibrahim Zaidah
Published: July 2022

The brain is a vital organ in the human body, performing various functions. The brain has always played a major role in the processing of sensory information, the production of muscular activity, and the performance of high-level cognitive functions. Among the most prevalent diseases of the brain is the development of aberrant tissue in brain cells, which results in the formation of brain tumors. According to data from the International Agency for Research on Cancer (IARC), more than 124,000 people worldwide were diagnosed with brain tumors in 2014, and more than 97,000 people died due to the condition. Current research indicates that magnetic resonance imaging (MRI) is the most effective means of detecting brain cancers. Because brain tumors are associated with significant mortality risk, a large number of brain tumor MRI imaging datasets were used in this research to detect brain cancers using deep learning techniques. To classify three forms of brain tumors, including glioma, meningioma, and pituitary, a deep learning model called DenseNet 201 paired with Support Vector Machines (SVM) was employed in this work included three types of brain tumors. Based on the results of the tests that were conducted, the best accuracy results obtained in this study were 99.65 percent, with a comparison ratio of 80 percent for training data and 20 percent for testing data, oversampled with the SMOTE method, with the best accuracy results obtained in this study being 99.65 percent.
A Design and Application of Software Liberal Arts Course based on CT-CPS Model for Developing Creative Problem-Solving Ability and Learning Motivation of Non-software Majors
Authors: Park Hee Jung , Jeon Yong Ju
Published: July 2022

As the importance of computing education for nurturing computational thinking skills is emphasized in preparation for the era of the 4th industrial revolution, computing education for non-majors is also expanding in liberal arts education at universities. In this study, a software liberal arts course based on the CT-CPS model was designed and applied to non-software majored university students, and the effect on creative problem-solving ability and learning motivation were analyzed. The CT-CPS (computational thinking-based creative problem solving) model is an instructional model devised by fusing each element of computational thinking ability to the creative problem-solving stages. Creative problem-solving ability test paper and learning motivation test paper were used as test tools. Moreover, quantitative analysis through independent sample t-test and paired sample t-test and qualitative analysis through subjective responses were conducted. As a result of the study, it was verified that the software class applied with the CT-CPS model had a statistically significant effect on the creative problem-solving ability and learning motivation of non-software majors. In particular, compared to the control group, the experimental group showed significant changes in the motivational elements among the sub-factors of creative problem-solving ability and the self-efficacy factor among the sub-factors of learning motivation. In addition, it was confirmed through qualitative analysis that the software class to which the CT-CPS model was applied helped develop the problem-solving ability and learning motivation based on computational thinking through the process of discovering and solving problems on their own in real life.
Data Fairness Transmission and Adaptive Duty Cycle through Machine Learning in wireless Sensor Networks
Authors: Jeon Junheon , Park Hyunjoo
Published: July 2022

In this paper, we propose the data fairness transmission and adaptive duty cycle through machine learning in wireless sensor networks. The mechanism of this paper is mainly composed of two parts. The proposed mechanism is based on the sleep-wake structure, which is one of the methods to increase the lifespan of the entire network by efficiently using the energy of the nodes. The first is a mechanism to support priority and data fairness. To this end, data input to the node is divided into priority classes according to transmission urgency and stored. Introduces the concept of cross-layer to rearrange data destined for the same destination. In addition, we propose a fair data transmission mechanism that allows even low-priority data to participate in transmission after a certain period. The second is an adaptive duty cycle mechanism through machine learning. For this purpose, public data related to forest fires are collected. The collected data is refined into data for each forest fire location and data for each forest fire time. For the refined data, an SVM (Support Vector Machine) model of supervised learning is used for machine learning, and a mechanism for adaptively adjusting the duty cycle of each node through the trained model is proposed. The computer language used for machine learning is Python language, and Google's Psychic Learn is used for the machine learning library. It was compared with the existing MAC protocol for evaluation, and it was confirmed that excellent energy efficiency results were obtained.
A Person-Job Fit Index Using Multiple Intelligences Profiles: Calculating Risk for Chronic Relative Underperformance
Authors: Jessurun Haiko , Gelper Sarah , Anthonio Gabriël , Weggeman Mathieu
Published: July 2022

 In this article an index is investigated which can express the fit between a job profile and a personal profile, which both make use of Gardner’s concept of multiple intelligences. The difficulties are (1) that even though the same conceptual framework is used to describe both the capabilities that functions/jobs need and the capabilities that persons have, the two measurements are not exactly the same, and (2) that the index must be able to indicate whether a person is possibly underperforming, or might be overburdened by the function. Other indexes, such as correlations, or common distance measures provide parts of the answer, but in themselves destroy too much information.  

 To illustrate the different steps, data are used from a small set of profiles from well functioning mental health professionals from a community mental health centre in the Netherlands and a job profile, obtained from colleagues from another community mental health centre.

A method preserving the direction of the differences, based on the Mahalanobis distance is developed in this paper, which expresses over- as well as the underscoring of a personal profile in regard to the job profile, as well as combining these in a single index that can be used in statistical analyses. The method might be applicable to compare other kinds of profiles to each other as well.  
Multiple Intelligences, Chronic Relative Underperformance Risk and the Perception of the Organizational Creative Environment: Exploratory Correlational Study at Single Employer in the Netherlands
Authors: Jessurun Haiko , Anthonio Gabriël , Gelper Sarah , Weggeman Mathieu
Published: July 2022

 Creativity is important within knowledge-intensive organisations. In this article, we research the relations between profiles of multiple intelligence and how employees assess their organisation as supporting creativeness. Multiple intelligences theory is important because it takes a more humanistic approach to skills, abilities and talents, in recognising that there is more to a human than the skills appreciated in classical g-theory. We are interested in whether different types of people look differently upon the organisation in this regard. Special attention is given to employees whose  multiple intelligence profile is higher than required for their job, a misfit inducing risk for chronic relative underperformance, and how this misfit relates to the assessment of the work environment.

Data collection was done in a large institute for mental health care in the Netherlands. On a voluntary basis, employees were assessed on their personal multiple intelligences profile using the MIDAS® questionnaire. They simultaneously assessed their organisation on supporting creativity, using the KEYS® to Creativity and Innovation questionnaire. The data were analysed in three ways (1) by correlating the values of their multiple intelligence with the assessment on creative climate; for this 189 records could be used, (2) by computing the risk of chronic relative underperformance, and correlating this with creativity climate; for which 147 records of mental health workers remained for the analysis; and (3) investigating whether there was a difference in scores when the results were grouped by highest or lowest intelligence.

Results show that there is mild support for our expectation that multiple intelligences matter and that employees with profiles that are high on intelligences not required for the job assess the work environment as less beneficial for creative output. It is concluded that organisations (which consist of a spectrum of differently profiled humans) may benefit from taking into account these differences within their workforce. Limitations to the study design are also discussed.  
Fans as Homo Narrans: How User Participation in Transmedia Collective Storytelling Shapes Dream SMP Fan Identities on Twitter
Authors: Tian Leiyuan
Published: July 2022

Note: This is an extended abstract accpeted by the 2022 International Conference on Social Media & Society. See https://socialmediaandsociety.org/2022-2/2022-accepted-papers/

Abstract: Transmedia and collective storytelling has become one of the most distinctive means of participation in online fandom communities. Meanwhile, networks of scalable sociality afforded by social networking sites have facilitated the engagement of global media prosumers in participatory cultures where collective narratives unfold. During story-telling processes of negotiated readings and creative appropriation of canon, participants of fan culture explore their roles in the fandom and relations to other community members, constantly shaping and re-shaping their understandings of themselves as fans. This study zooms in on a case study of the Dream SMP fandom on Twitter to understand this phenomenon. By qualitatively analysing 200 relevant tweet threads and conducting 20 interviews with Dream SMP fans on Twitter, this study explores how fan identities are situated and defined in the collective making of transmedia narratives on social media. 
The COVID States Project #89: The Dobbs Decision, Support for Abortion, and 2022 Voting
Authors: Baum Matthew , Trujillo Kristin Lunz , Safarpour Alauna , Lazer David , Cadenasso Samantha , Ognyanova Katherine , Perlis Roy , Druckman James , Santillana Mauricio , Green Jon , Shere Anjuli , Uslu Ata , Qu Hong , Quintana Alexi , Pippert Caroline H
Published: July 2022

KEY TAKEAWAYS● Overall support for abortion across all nine scenarios increased following the Dobbs decision, with increases ranging from 1 to 5 percentage points. Among respondents for whom the abortion issue is “extremely important”, the corresponding increases were larger, ranging from 2 to 8 percentage points.● Support for abortion increases or remains the same between the pre- and post-Dobbs periods for all nine scenarios, regardless of intent to vote, but increases modestly more consistently among respondents who are not “very likely” to vote.● Across most demographic subgroups, we see little change in the overall probability of voting following the Dobbs decision. There are three exceptions – men, rural residents, and respondents with a high school education or less - each of whom are statistically significantly less likely to say that they are “very likely” to vote in the 2022 midterm election following the Dobbs announcement.● Overall, we find that individuals who consider abortion to be an “extremely important” issue are substantially more likely to support Democrats retaining control of both houses of Congress. These gaps, in turn, increase modestly following the Dobbs announcement. For the House of Representatives, the gaps prior to and following the Dobbs announcement are 11 and 14 points in favor of Democrats, respectively. For the Senate election, the corresponding gaps are 12 and 13 points in favor of Democrats, pre- and post-Dobbs, respectively.● In the 13 states with so-called “trigger laws” that automatically imposed restrictions or prohibitions on abortion following the overturning of Roe v. Wade, public opinion moved in the opposing direction as public policy – that is, toward greater support for abortion across the nine scenarios – by 3 to 9 percentage points. Such increases were even larger among respondents in those states who indicated that abortion was “extremely important”, with maximum increases in support of 12 to 14 percentage points.
Differential expression of cytohesin 2 in cancers of the breast.
Authors: Mamoor Shahan
Published: July 2022

Breast cancer affects women at relatively high frequency (1). We mined published microarray datasets (2, 3) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with early-onset breast cancer. We found significant differential expression of the gene encoding cytohesin 2, CYTH2, when comparing primary tumors of the breast to the tissue of origin, the normal breast: in women aged 45 and younger, and women aged 70 and higher. CYTH2 was also differentially expressed in the brain metastases of patients with brain metastatic breast cancer. CYTH2 mRNA was present at significantly higher quantities in tumors of the breast as compared to normal breast tissue. Analysis of human survival data revealed that expression of CYTH2 in primary tumors of the breast was correlated with overall survival in patients with HER2+ subtype breast cancer, demonstrating a relationship between primary tumor expression of a differentially expressed gene and patient survival outcomes influenced by PAM50 molecular subtype. CYTH2 may be of relevance to initiation, maintenance or progression of cancers of the female breast.
Pengembangan Pemerintahan Daerah
Authors: Helmalia
Published: July 2022

Ilmu Pemerintahan (IP) adalah khas Indonesia, yang tidak dikenal di belahan dunia lain. Tetapi IP selalu memperoleh stimulus eksternal: kolonialisme, developmentalisme, dan neoliberalisme. Para pendiri membuat IP untuk alasan aksiologis?praktis, tanpa disertai dengan ontologi dan epistemologi yang memadai. Secara ontologis, konsep pemerintah merupakan tradisi Anglo Saxon, tetapi pemerintahan diambil dari tradisi hukum Eropa Kontinental dan bestuurskunde warisan kolonial, yang di negeri asal disebut administrasi. IP sukses mencetak banyak birokrat, tetapi ia tidak membawa roh “pemerintahan rakyat” dan tidak sanggup mencerahkan praktik pemerintahan Indonesia, melainkan hanya ikut menjaga law and order yang diwarisi dari beamtenstaat kolonial. Developmentalisme dan administrasi negara datang mewarnai Orde Baru, sekaligus juga membentuk sosok IP. Dekade 1990-an Ilmu Politik datang melakukan ‘subversi’ terhadap IP, yang sanggup melucuti warna hukum, tetapi tidak merekonstruksi IP.
Chapter 2 Tourism market and tourism market segmentation
Authors: PiL Le Nhut
Published: July 2022

In chapter two, the paper show consumers stand in the center. The goal is to create value for customers and build profitable customer relationships. So, the company hopes to create this customer value and achieve these profitable relationships by using a marketing mix made up of factors under its control.
Cộng tính văn hóa – Wikipedia tiếng Việt
Authors: Nguyen Van-Quang
Published: July 2022

Cộng tính văn hóa (tiếng Anh là cultural additivity) là khái niệm mô tả cộng đồng (hoặc cá nhân) thuộc một văn hóa xác định sẵn sàng chấp nhận các hệ giá trị của văn hóa khác vào hệ giá trị của cộng đồng (hoặc cá nhân) đó, bất chấp việc các giá trị mới có thể đối nghịch với hệ giá trị đang tồn tại. ***** Chỉ dành cho mục đích lưu trữ thông tin *****
DELATED
Authors: IRMAN
Published: July 2022

DELATED. (dihapus dihapus)
STUDYING THE PRACTICE AND TECHNOLOGY OF USING THE STOCK EXCHANGE DIGITAL TECHNOLOGIES IN THE MANAGEMENT OF ECONOMIC NETWORKS
Authors: journals Savantic
Published: July 2022

This article discusses the study of the practice and methodology of the use of digital technologies by the stock exchange in the management of economic sectors.
Chương 1 Tổng quan về marketing và marketing du lịch
Authors: PiL Le Nhut
Published: July 2022

Giới thiệu tổng quan về marketing du lịch, nhà hàng và khách sạn. Nội dung bài gồm 6 chương. Tất cả nội dung đều dựa trên cuốn sách Marketing for Hospitality and Tourism (7th ed.) của Kotler, Bowen, Makens & Baloglu.
Analytical and numerical modeling of viscous anisotropy: A toolset to constrain the role of mechanical anisotropy for regional tectonics and fault loading
Authors: Liu Dunyu , Puel Simone , Becker Thorsten , Moresi Louis
Published: July 2022

Whether mechanical anisotropy is required to explain the dynamics of the lithosphere, in particular near fault zones where it may affect loading stresses, is an important yet open question. If anisotropy affects deformation, how can we quantify its role from observations? Here, we derive analytical solutions and build a theoretical framework to explore how a shear zone with anisotropic viscosity can lead to deviatoric stress heterogeneity as well as non-coaxial principal stress and strain rates. We also develop an open-source finite element approach to explore more complex scenarios in both 2-D and 3-D, and simulate three 3-D scenarios inspired by an anisotropic major strike-slip fault zone, the asthenospheric mantle, and the Leech River Schist above the Cascadia subduction zone. Our findings and new tools may help geoscientists to better understand, detect, and evaluate mechanical anisotropy in natural settings, with potential implications including the transfer of lithospheric stress and deformation including fault loading.