bluuebunny/crossref_metadata_2025 huggingface dataset:
Computational Biomechanics for Medicine III - Workshop proceedings
Authors: Miller Karol , Nielsen Poul
Published: January 2022

A novel partnership between surgeons and machines, made possible by advances in computing and engineering technology, could overcome many of the limitations of traditional surgery. By extending surgeons’ ability to plan and carry out surgical interventions more accurately and with less trauma, Computer-Integrated Surgery (CIS) systems could help to improve clinical outcomes and the efficiency of health care delivery. CIS systems could have a similar impact on surgery to that long since realized in Computer-Integrated Manufacturing (CIM). Mathematical modeling and computer simulation have proved tremendously successful in engineering. Computational mechanics has enabled technological developments in virtually every area of our lives. One of the greatest challenges for mechanists is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, the biomedical sciences, and medicine.

Computational Biomechanics for Medicine Workshop series was established in 2006 with the first meeting held in Copenhagen. The third workshop was held in conjunction with the Medical Image Computing and Computer Assisted Intervention Conference (MICCAI 2008) in New York on 10 September 2008. It provided an opportunity for specialists in computational sciences to present and exchange opinions on the possibilities of applying their techniques to computer-integrated medicine.

Computational Biomechanics for Medicine III was organized into two streams: Computational Biomechanics of Soft Tissues, and Computational Biomechanics of Tissues of Musculoskeletal System. The application of advanced computational methods to the following areas was discussed: - Medical image analysis; - Image-guided surgery; - Surgical simulation; - Surgical intervention planning; - Disease prognosis and diagnosis; - Injury mechanism analysis; - Implant and prostheses design; - Medical robotics.

After rigorous review of full (eight-to-twelve page) manuscripts we accepted 15 papers, collected in this volume. They were split equally between podium and poster presentations. The proceedings also include abstracts of two invited lectures by world-leading researchers Professor Chwee Teck Lim from national University of Singapore and Dr. David Lloyd from The University of Western Australia.

Information about Computational Biomechanics for Medicine Workshops, including Proceedings of previous meetings is available at http://cbm.mech.uwa.edu.au/ .

We would like to thank the MICCAI 2008 organizers for help with administering the Workshop, invited lecturers for deep insights into their research fields, the authors for submitting high quality work, and the reviewers for helping with paper selection.
A framework for data and context integration in the modular digital OR
Authors: Bohn Stefan , Lindner Dirk , Petzold Christian , Burgert Oliver
Published: January 2022

Today, OR planning is supported by different clinical information systems. However, relevant patient information is distributed and spread over separate heterogeneous information systems (HIS, RIS, PACS), where each requires its own login and user interaction scheme. Furthermore, transfer of different planning data objects into the OR is currently not accomplished in a consistent electronic manner. This work proposes a framework, which integrates heterogeneous clinical information systems using a portal application with single-sign on and single-patient-lookup functionality. OR planning data can be composed into a digital planning record, which is seamlessly transferred to the modular integrated OR system. Data acquired or generated during surgery is automatically labeled with the electronic patient context, thus ensuring simple and consistent OR documentation.
Framework of US-guided therapeutic HIFU system for renal diseases
Authors: Seo Joonho , Koizumi Norihiro , Lee Deukhee , Sugita Naohiko , Yoshinaka Kiyoshi , Nomiya Akira , Yoichiro Matsumoto , Mamoru Mitsuishi
Published: January 2022

The authors describe a framework for the US-guided therapeutic HIFU system for renal diseases. In particular, the HIFU system is integrated with robotic servoing capability so as to track quasi-periodically moving renal tumors and stones. The system is composed of the US imaging part, software for target detection, robot part for servoing the end-effecter, HIFU irradiation part for destroying stones and tumors, and quality assurance system for planning and maintenance of HIFU irradiations. In this paper we illustrated the overall system configurations and explained the details of each component and their integration.
A novel atlas-selection approach for multi-atlas based segmentation using the correlation of inter-atlas similarities
Authors: Raudaschl Patrik , Fritscher Karl , Zaffino Paolo , Sharp Greg , Spadea Marta , Schubert Rainer
Published: January 2022

Automated segmentation is a frequently applied task in the course of medical imaging. Furthermore, it is a substantial component of image-guided radiotherapy. Atlas based segmentation is one of the most frequently used approach for automated segmentation. Especially for multi-atlas based segmentation, segmentation quality and speed largely depends on the underlying registration and atlas selection strategy. In this work an atlas selection strategy that is based on the correlation of inter-atlas similarities within a set of atlas images is presented. Segmentation quality is analyzed by calculating dice coefficients and 95% Hausdorff distances for the left and right parotid with respect to different numbers of atlases. Results are compared to other state of the art atlas selection strategies. It can be shown that the developed atlas selection technique performs slightly better than NMI-based selection if a low number of atlases is used.
Cubic and Hermite splines for VTK
Authors: Kovacs Nicole , Peters Terry , Chen Elvis
Published: January 2022

A cubic spline is a spline where each curve is defined by a third-order polynomial, while a Hermite spline has each polynomial specified in Hermite form, being computed using tangent information as well as the position of the points. We propose two new classes for VTK, vtkCubicSpline and vtkHermiteSpline, which compute interpolating splines using a Cubic and a Hermite Spline Interpolation function, respectively. We also propose two new auxiliary classes, vtkParametricCubicSpline and vtkParametricHermiteSpline, that create parametric functions for the 1D interpolating aforementioned splines.
Cognition Network Technology for a Fully Automated 3D Segmentation of Liver Tumors
Authors: Schmidt Guenter , Binnig Gerd , Kietzmann Markus , Kim Johann
Published: January 2022

The Definiens Cognition Network Technology is applied to detect automatically tumors in a human liver. On the basis of a test data set containing ten tumors we show first quantitative results which are compared to manual segmentations provided by medical experts.
Carotids Segmentation in the context of Patient-Specific Simulation
Authors: Namer Einav , Shilon Ofek
Published: January 2022

Simbionix® Ltd, world-leader in surgical simulation, just pioneered the commercial use of patient-specific simulation: a tool for rehearsing an operation prior to performing it. Carotid stenting was chosen as the first release of a patient-specific simulated operation. Simbionix partnered with Shina Systems® in making the Segmentation module. The resulting tool is presented and discussed herein.
Validation of real-time intensity based 2D/3D registration for image guided radiotherapy
Authors: Furtado Hugo , Underwood Tracy , Depuydt Tom , Stock Markus , Georg Dietmar , Birkfellner Wolfgang
Published: January 2022

Patient motion during radiotherapy or intra-fractional motion, is one of the major sources of uncertainty in dose application. 2D/3D registration is an intensity based method used successfully to track tumor motion with the potential to reduce uncertainty. Despite promising results, validation remains a problem due to the lack of a gold standard. In this paper, we demonstrate the use of clinical datasets acquired with the VERO LINAC to validate intensity based 2D/3D registration. The patient considered in this study had a gold marker implanted to enable live tumor tracking. We verify our results against the tracked gold marker position. Our results show that it is possible to accurately track the tumor using only intensity based 2D/3D registration. The mean error of our registration is of 1.6 ± 0.3mm and as low as 1.1 ± 0.5mm when looking only at the cranial-caudal direction. The results pave the way for a possible clinical application of the method.
An Open-Source Solution for Interactive Acquisition, Processing and Transfer of Interventional Ultrasound Images
Authors: Boisvert Jonathan , Gobbi David , Vikal Siddharth , Rohling Robert , Fichtinger Gabor , Abolmaesumi Purang
Published: January 2022

Ultrasound has become a very important modality in image-guided therapy. At present, however, the collection, synchronization and transfer of ultrasonic images are more cumbersome than necessary. This paper presents a reusable solution to these problems. We propose a software package called SynchroGrab, which allows the collection of interventional ultrasound images as well as their synchronization with a stream of pose measurements. The software includes support for an open-interface ultrasound system, namely the Sonix RP, from Ultrasonix (Vancouver, Canada). Using an open-interface system like the Sonix RP allows customization of the imaging process and the capture of the ultrasound images directly from memory without the need for a frame-grabbing card. Pose measurement is currently performed with an Optotrak Certus by Northern Digital (Waterloo, Canada). However, extensibility was a primary goal in the design of this software, so the support of new devices can be achieved simply by sub-classing the relevant base class. SynchroGrab also performs reconstruction of 3D ultrasound volumes from synchronized data streams. Moreover, the recorded images, volumes and tracking information are available for visualization or further processing either directly from the file system or from a network connection compliant with the OpenIGTLink protocol, which is supported by Slicer 3.
Endocardial Segmentation using Structured Random Forests in 3D Echocardiography
Authors: Domingos Joao S. , Stebbing Richard V. , Noble Alison J.
Published: January 2022

Segmentation of the left ventricle endocardium in 3D echocardiography is a critical step for the diagnosis of heart disease. Although recent work has shown effective endocardial edge detection, these techniques still preserve spurious anatomical edge responses that undermine overall ventricle segmentation. In this paper we propose a robust semiautomatic framework based on 2D structured learning that facilitates full 3D model-based endocardial segmentation. This method is evaluated on 30 publicly available datasets from different brands of ultrasound machines. Results show that the proposed method accurately finds the endocardium and effectively converges an explicit and continuous surface model to it.
A Mix-resolution Bone-related Statistical Deformable Model (mBr-SDM) for Soft Tissue Prediction in Orthognathic Surgery Planning
Authors: Qizhen He , Horace Ip , Xia James
Published: January 2022

In this paper, we propose a Mix-resolution Bone-related Statistical Deformable Model (mBr-SDM) to improve the predicting accuracy of orthognathic surgery, particularly for the main deformation region. Mix-resolution Br-SDM consists of two separate Br-SDM of different resolutions: a high-resolution Br-SDM which is trained with more samples to capture the detail deforming variations in the main deforming regions of interest, together with a low-resolution Br-SDM which is trained with a smaller number of samples to capture the major variations of the remaining facial points. The experiments have shown that the mix-resolution Br-SDM is able to significantly reduce the predicting error compared with the corresponding Finite Element Model, while giving a low computational cost which is characteristic of the SDM approach.
A Lightweight and Portable Communication Framework for Multimodal Image-Guided Therapy
Authors: Schoch Alexander , Fuerst Bernhard , Achilles Felix , Demirci Stefanie , Navab Nassir
Published: January 2022

In today’s medicine a lot of research revolves around the combination of different imaging and tracking modalities to form a new system for Image-Guided Therapy. Such systems can help to overcome shortcomings of the individual techniques or create new kinds of possible use cases. To ease the development of a hybrid modality we have created a generic, portable, lightweight, and easily extensible, client-server based framework, implemented in C++, to control the communication between multiple imaging and tracking devices. Our framework Computer Aided Medical Procedures Communication (CAMPCom), allows developers of hybrid systems to focus on the most important implementation aspects by freeing them from the more generic tasks of data serialization and exchange. The framework is openly available on http://campar.in.tum.de/Main/CAMPCom
An iterative Bayesian approach for liver analysis: tumors validation study
Authors: Taieb Yoav , Eliassaf Ofer , Freiman Moti , Joskowicz Leo , Sosna Jacob
Published: January 2022

We present a new method for the simultaneous, nearly automatic segmentation of liver contours, vessels, and tumors from abdominal CTA scans. The method repeatedly applies multi-resolution, multi-class smoothed Bayesian classification followed by morphological adjustment and active contours refinement. It uses multi-class and voxel neighborhood information to compute an accurate intensity distribution function for each class. Only one user-defined voxel seed for the liver and additional seeds according to the number of tumors inside the liver are required for initialization. The algorithm do not require manual adjustment of internal parameters. In this work, a retrospective study on a validated clinical dataset totaling 20 tumors from 9 patients CTAs� was performed. An aggregated competition score of 61 was obtained on the test set of this database. In addition we measured the robustness of our algorithm to different seeds initializations. These results suggest that our method is clinically applicable, accurate, efficient, and robust to seed selection compared to manually generated ground truth segmentation and to other semi-automatic segmentation methods.
Sustainable development in the design of online degree programmes for national cross-studies
Authors: Joshi Marjo
Published: January 2022

This study examines the integration of sustainable development in the holistic design of higher education online degree programmes for national cross-studies in Finland. The methodology adopted is design-based research. The literature combines works from the fields of online degree programme design and sustainable development. The empirical data is collected from an Online Degree Working Group representing various online degree expertise in applied higher education. The results of this study highlight the importance of national level collaboration in efforts to reach sustainable development goals in online degree programmes for national cross-studies in higher education. Key sustainability competencies are combined into online degree programme design to reveal new considerations for sustainable development in the online degree education context. The results can be utilised by managers, administrators, and educators of online degree programmes in higher education organisations who are interested in implementing sustainable development in the design phase of the online degree programmes.
Analisis Kebijakan Pengentasan Kemiskinan “Laboratorium Kemiskinan” Kabupaten Pekalongan
Authors: Wismaningsih Kurniani
Published: January 2022

Abstrak: Penelitian ini bertujuan untuk memberikan alternatif kebijakan terhadap pelaksanaan kebijakan pengentasan kemiskinan “Laboratorium Kemiskinan” di Kabupaten Pekalongan. Laboratorium Kemiskinan adalah kebijakan dalam rangka pengentasan kemiskinan yang memiliki ruang lingkup wilayah kabupaten. Kebaruan (novelty) program ini adalah pelibatan semua pihak (Pentahelix). Laboratorium kemiskinan juga dilakukan dengan pendekatan topografi wilayah yang di setiap wilayah topografi tersebut memiliki karakeristik, sebab dan solusi kemiskinan yang berbeda. Metode penelitian menggunakan pendekatan kualitatif deskriptif dan dilaksanakan di Kabupaten Pekalongan. Pengumpulan data menggunakan observasi, wawancara, dan dokumentasi. Dalam implementasinya, Laboratorium Kemiskinan mengalami beberapa permasalahan, yaitu: 1. Perangkat Daerah terkait belum berperan secara maksimal; 2. Pemerintah Desa Model kurang aktif dan responsif. Alternatif untuk mengatasi permasalahan, yaitu: 1. Membuat Regulasi tentang Pembentukan Tim Pelaksana Laboratorium Kemiskinan; 2. Meningkatkan Koordinasi antar Perangkat Daerah Pelaksana Laboratorium Kemiskinan dan Desa Model; 3. Menyusun Petunjuk Teknis Kebijakan Laboratorium Kemiskinan. Di antara ketiga alternatif tersebut, alternatif yang direkomendasikan adalah menyusun Petunjuk Teknis Laboratorium Kemiskinan.

 Kata Kunci: Pengentasan Kemiskinan, Laboratorium Kemiskinan, Juknis

 

Abstract: This study aims to provide policy alternatives for the implementation of poverty alleviation policies "Laboratorium Kemiskinan" in Pekalongan Regency. The Laboratorium Kemiskinan is a new policy in the context of poverty alleviation which has district scope. The novelty of this program is the involvement of all parties (Pentahelix). Laboratorium Kemiskinan are also carried out with a regional topographic approach, which in each topographic region has different characteristics, causes and solutions to poverty. The research method used a descriptive qualitative approach and was implemented in Pekalongan Regency. Collecting data using observation, interviews, and documentation. In its implementation, the Laboratorium Kemiskinan has experienced several problems, namely: 1. The relevant regional apparatus has not played an optimal role; 2. Model Village Government that is less active and responsive. Alternatives to solve the problem, namely: 1. Making regulations on the establishment of a Laboratorium Kemiskinan Implementation Team; 2. Increasing the coordination among regional apparatus for implementing the Laboratorium Kemiskinan Village Models; 3. Develop Technical Guidelines for Laboratorium Kemiskinan Policy. Among the three alternatives, the recommended alternative is to compile the Laboratorium Kemiskinan Technical Guidelines.

 Keywords: Poverty Alleviation, Poverty Laboratory, Technical Guidance.
Gambaran Penyebab Kekosongan Obat dan Upaya Pengendaliannya di Gudang Obat IFRS RSUD Kraton Tahun 2019
Authors: Lestari Diana Athoillah
Published: January 2022

Pelayanan Kefarmasian merupakan salah satu pelayanan yang sangat penting di suatu rumah sakit, salah satunya dalam melakukan ketersediaan obat. Pengelolaan persediaan obat yang kurang baik dapat berakibat pada jumlah stok obat yang tersedia, hal ini akan berakibat menurunkan kualitas dari rumah sakit dan menurunkan pendapatan dari rumah sakit, selain itu dapat berakibat pada tingkat kualitas hidup pasien. Tujuan dari penelitian ini adalah untuk mengetahui gambaran penyebab kekosongan obat dan untuk mengetahui upaya pengendalian di RSUD Kraton Tahun 2019. Metode penelitian ini bersifat deskriptif kualitatif dengan pengambilan data menggunakan wawancara secara mendalam berdasarkan teknik purposive sampling.Faktor yang menyebabkan terjadinya kekosongan obat yaitu waktu tunggu obat yag berbeda-beda, kekosongan dari distributor. Upaya pengendalian dilakukan stok opnam 1 bulan sekali
Manajemen Logistik Obat di Instalai Farmasi Rumah Sakit berdasarkan Petunjuk Teknis Standar Pelayanan Kefarmasian di Rumah Sakit Tahun 2019
Authors: Puspasari Dewi Herdina
Published: January 2022

EVALUASI MANAJEMEN LOGISTIK OBAT DI INSTALASI FARMASI RUMAH SAKIT BERDASARKAN PETUNJUK TEKNIS STANDAR PELAYANAN KEFARMASIAN DI RUMAH SAKIT TAHUN 2019

 

Dewi Herdina Puspasari1*, Yulian Wahyu Permadi2 , Wirasti3

1,2,3Sarjana Farmasi/Fakultas Ilmu Kesehatan, Universitas Muhammadiyah Pekajangan Pekalongan

*Email: dewi.herdina.23@gmail.com

 

ABSTRAK

Pelayanan Kefarmasian merupakan salah satu kegiatan yang ada di Rumah  Sakit salah satunya yaitu kegiatan bersifat manajerial seperti pengelolaan sediaan farmasi, alat kesehatan dan bahan medis habis pakai serta kegiatan pelayanan farmasi klinik. Manajemen logistik obat digunakan agar tidak terjadi kekosongan obat akibat dari manajemen yang kurang tepat dari Petunjuk Teknis Standar Pelayanan Kefarmasian di Rumah Sakit tahun  2019. Metode pengolahan data yaitu dengan membandingkan informasi akhir data yang diperoleh dengan Petunjuk Teknis Standar Pelayanan Kefarmasian di Rumah Sakit Tahun 2019 bertempat  di 4 Rumah Sakit se-Kabupaten Pemalang. Tujuan dari penelitian ini yaitu untuk mengetahui kesesuaian manajemen logistik obat di Instalasi Farmasi Rumah Sakit dengan peraturan yang telah dibuat. Diperoleh hasil penelitian dengan pengelolaan manajemen logistik terlihat sudah sesuai namun pada proses penyimpanan masih terdapat kurangnya sarana dan prasarana yang belum memadai dalam pelaksanaanya.

Kata kunci      : Pelayanan Kefarmasian, Manajemen logistik obat, Pengelolaan, Instalasi

Farmasi.
COVID-19 and the Challenges of Transition to Online Learning
Authors: Grah Barbara , Penger Sandra
Published: January 2022

The COVID-19 pandemic has changed the world. It changed the way we do business, and it changed our lives in terms of socializing. Nevertheless, it also brought essential changes in the educational segment. This school year, at the tertiary level, courses’ contents and examinations are primarily done online in Slovenia due to the pandemic. In this paper, we examine the perceptions and challenges the third-year students of the Learning and knowledge management course conducted at the School of Economics and Business, University of Ljubljana, are facing. Specifically, we are interested in the challenges the students encountered during the transition to online learning due to the COVID-19 pandemic and the advantages and disadvantages of online learning, as perceived by students. What was used as the method to collect and analyze the data was personal reflection and content analysis. The findings show that students are facing different challenges. Nevertheless, also several advantages and disadvantages related to the online learning process are identified. We conclude by providing practical examples for pedagogical staff to ease the transition for students and avenues for future research.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Implications of Accounting and Tax Treatment of Cryptocurrencies
Authors: Martinčević Ivana , Sesar Vesna , Buntak Krešimir
Published: January 2022

The digital revolution is changing everyday business and creating new technologies and tools that allow companies flexibility and simplicity in doing business and increase business performance. The digital age creates new concepts that also affect accounting processing, which presents new challenges in accounting practice. One of the most significant changes and innovations within accounting processing and the financial industry is the emergence of cryptocurrencies that create a completely new financial business concept. Cryptocurrency is the equivalent of electronic money and is completely digital. Although cryptocurrencies and transactions with cryptocurrencies are frequent appearances in today’s modern business, accounting and tax treatment in the Republic of Croatia and other European Union countries but also beyond is not fully established and adjusted for doing business with cryptocurrencies, which requires strict regulation and adjustment operations with cryptocurrencies. As cryptocurrencies become more popular, so do taxes on cryptocurrencies that vary from country to country. Cryptocurrencies are associated with risks such as money laundering, terrorist financing, and tax evasion, which require the establishment of a regulatory body and the implementation and application of regulations in the function of the transparent business with cryptocurrencies. This paper aims to investigate the characteristics of cryptocurrencies and their financial, accounting, and tax treatment.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Cultural and International Aspects of Innovation and Entrepreneurship in Higher Educational Institutions: Towards a Typology of Learning Universities
Authors: Grèzes Vincent
Published: January 2022

The purpose of this paper is to analyse the international and cultural aspects that academic entrepreneurs must take into consideration and propose a conceptual framework dedicated to the analysis of higher educational institutions (HEI) regarding their international settings and the support or hindrance to academic entrepreneurship. We elaborate on the international and cultural aspects to be considered to successfully undertake an academic entrepreneurship journey, such as cultural, administrative, geographical, and economic distances. We deepen our understanding of the cultural distance by summarizing the most used sociological approaches. Then we discuss the personal and institutional factors that can support or hinder entrepreneurship success, such as cultural sensitivity, cultural awareness, and academic learning organization. Finally, we considered the settings allowing entrepreneurs to develop their cultural sensitivity in the academic context and propose a typology of the HEI regarding their settings and management conditions of entrepreneurship regarding their internationalization and cultural awareness. The results allow university managers and professors or students to identify their organization's maturity in terms of international and cultural awareness towards fostering innovation and entrepreneurship.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Is Information Technology boosting Creativity in Higher Education Institutions during Covid-19?
Authors: Mabić Mirela , Gašpar Dražena , Šimićević Vanja
Published: January 2022

The global pandemic of the virus COVID-19 dramatically has impacted Higher Education Institutions (HEIs) in Bosnia and Herzegovina and worldwide. HEIs were forced to switch overnight to online lectures and exams without almost any teachers' and students' preparation and education. After one year of online classes at the University of Mostar (SUM), whether that kind of teaching impacts creativity. In order to find the answer to the research question, the authors used a questionnaire they developed and applied in 2015 to investigate students' perceptions about creativity at the University of Mostar. The research presented in this paper is limited to SUM students who have had online classes since March 2020. The primary research goal is to investigate whether there are any significant changes in students' perceptions of creativity compared to research from 2015. Namely, the authors investigate whether the enhanced use of IT and online platforms (Google Meet, SUMARUM – the University of Mostar’s variant of Moodle) affected students' creativity.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
An Empirical Study on Inter-Organisational Network Structures for Connected Cars
Authors: Isada Fumihiko
Published: January 2022

This study aimed to empirically examine whether rapid changes in the technological environment affect inter-organisational relationships. In the automotive industry, the advantage of cohesive and vertically integrated inter-organisational relationships has been pointed out conventionally. The development of connected cars, which can communicate bidirectionally with other systems outside the car, is eliciting significant changes in the traditional automotive products and the industry structure — changes generally associated with the automotive product structure moving closer to IT products. The aim was to empirically clarify what kind of network structure of inter-organisational relations firms are growing with changes in industrial structure by creating a database of actual firm behavior. The database was analyzed using the social network analysis method, and the characteristics of growing firms’ organisational network structure were extracted. Besides the traditional integrated inter-organisational relationships, the results show that there is a mixture of inter-organisational relationships with different characteristics of growth firms.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
National Brand Identity: Pilot Study on Perception of Croatian Student Population
Authors: Horvat Sara , Seljan Sanja , Starešinić Berislava
Published: January 2022

A message sent to a specific market or an audience contains certain types of information that affect the audience. For this reason, brand identity, nowadays increasingly in a digital form, plays an important role. Each state wants to create a robust, attractive, and different brand identity that will set it apart from other states and thus augment its reputation. This research aimed to determine the elements of brand identity that respondents mostly associate with Croatia and to examine their attitudes towards the belief that the brand identity that influences emotions is essential in the creation of national visual identity, as well as their attitudes towards the assumption that the brand identity of Croatia should be liked first by the inhabitants of Croatia, and only then by foreign tourists. Two research propositions were tested using the structural equation modeling, measuring the relationship between the emotional and formal elements of brand identity with the attitudes towards the emotions concerning the brand identity and the relevance of the brand identity to the country residents.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Metaheuristics Based Clustering Algorithms on Document Clustering
Authors: Onan Aytug
Published: January 2022

Cluster analysis is an important exploratory data analysis technique which divides data into groups based on their similarity. Document clustering is the process of employing clustering algorithms on textual data so that text documents can be retrieved, organized, navigated and summarized in an efficient way. Document clustering can be utilized in the organization, summarization and classification of text documents. Metaheuristic algorithms have been successfully utilized to deal with complex optimization problems, including cluster analysis. In this paper, we analyze the clustering quality of five metaheuristic clustering algorithms (namely, particle swarm optimization, genetic algorithm, cuckoo search, firefly algorithm and yarasa algorithm) on fifteen text collections in term of F-measure. In the empirical analysis, two conventional clustering algorithms (K-means and bi-secting k-means) are also considered. The experimental analysis indicates that swarm-based clustering algorithms outperform conventional clustering algorithms on text document clustering.
The Implementation of Classification and Clustering Techniques on Churn Analysis
Authors: Elbir Ahmet , Ilhan Hamza Osman , Aydin Mehmet Furkan , Demirbulut Yunus Emre
Published: January 2022

One of the most important problems of telecommunication companies is the potential transfer of customers between the firms. In order to avoid this problem, it is very important to identify customers who are likely to leave. In this study, the performance of the classification and the clustering algorithms in machine learning techniques has been evaluated and compared on the analysis of potential customer trends, which have been reported as churn analysis. K nearest neighbors, decision trees, random forests, support vector machines and naive bayes methods were tested in scope of classification idea. Additionally, K-Means and hierarchical clustering methods were tested. The performances of the methods have been evaluated according to the accuracy, precision, sensitivity and F-measure performance metrics.
Error Reduction In The Vehicle Wheel Rim Packaging With Image Processing And ANN
Authors: Gokay Gokhan , Yildirim Tulay
Published: January 2022

The product quality is provided by the product control companies during the period from the initial phase. Of manufacturing to packaging in many companies. In this study, it is aimed to carry out product control with an image processing based algorithm to prevent model mixes that are loaded on pallets to be packed and cargoed while being controlled by the operators according to the rim models. In the method, a camera located at a height of 5 meters from the ground is used, and the features of the rims in the ground are extracted trained by using artificial neural networks. Attempted to prevent mixing in the backplane.
Structured Learning Based Turkish Sentiment Analysis
Authors: Ulgen Oguz , Ogrenci Arif Selcuk
Published: January 2022

Sentiment analysis is highly popular topic to identify people's opinions through the social media, forums and other websites. There are an abundance of opinions on internet and analysing those opinions would have many benefits for both private and public sectors. Research has evolved looking on tweets for mining opinions and for the classification of the tweets as positive, negative or neutral in its sentiment. In this research, Turkish tweets are used for sentiment extraction where a two layer neural network is used as the pattern recognition system. The supervised training of this system is based on structured learning. As a conclusion, structured learning seems to be helpful in pattern recognition to classify tweets and mining the opinions. However, it is evident that further research in data processing and training methodology is necessary to obtain reliable sentiment analysis results.
Hiệu chỉnh cấu trúc tín hiệu DVB-T2 Việt Nam cho ứng dụng ra đa thụ động
Authors: Nguyễn Tiền Hải
Published: January 2022

Bài báo thực hiện áp dụng phương pháp hiệu chỉnh trực tiếp sóng mang con để thay đổi cấu trúc tín hiệu DVB-T2 Việt Nam làm cho tín hiệu này phù hợp với ứng dụng ra đa thụ động. Kết quả của bài báo chỉ ra trình tự và phương pháp phù hợp thực hiện hiệu chỉnh cấu trúc tín hiệu DVB-T2 Việt Nam loại bỏ các đỉnh phụ không mong muốn khi thực hiện phép xử lý tương quan chéo nén tín hiệu.
Determinan Kepuasan Pengguna Instagram DJPPR Terhadap Informasi Savings Bond Ritel
Authors: Suhendra Maman , Prabawati Dini Privea , Siregar Sri Putri
Published: January 2022

Peran pembiayaan anggaran APBN yang berasal dari SBN berdenominasi rupiah dari waktu ke waktu menjadi semakin penting. Hal ini terutama untuk memastikan kesinambungan fiskal di masa yang akan datang. Salah satu sumber penerimaan pembiayaan bagi SBN adalah SBR sebagai instrumen investasi bagi investor individu. Dengan potensi besaran yang relatif potensial serta animo generasi muda yang semakin meningkat, maka perluasan basis investor pada instrumen ini menjadi semakin strategis. Penguatan kualitas dan kapasitas online platform seperti Instagram oleh karenanya menjadi sangat relevan. Penelitian ini bertujuan untuk memahami faktor-faktor yang memengaruhi kepuasan pengguna Instagram DJPPR dalam kerangka perluasan basis investor. Dengan menggunakan pendekatan partial least squares structural equation modeling (PLS-SEM) pada model yang diadaptasi dari DeLone & McLean IS Success Model, diketahui bahwa kepuasan pengguna Instagram DJPPR dipengaruhi oleh kualitas informasi & kualitas layanan, bukan oleh kualitas sistem.
Polskie liczebniki główne w świetle gramatyki kognitywnej
Authors: KOWALEWSKI HUBERT
Published: January 2022

Artykuł analizuje semantykę polskich liczebników głównych z zakresu 5-10 i 100. Analiza wykorzystuje
model gramatyki kognitywnej proponowany przez Ronalda Langackera. Główna teza artykułu głosi, że
ewolucja tych liczebników polegała na przesunięciu aspektu relacyjnego (tj. przymiotnikowego) do profilu
liczebnika, w wyniku czego liczebniki stopniowo traciły swój rzeczownikowy charakter. Proces ten
nie zaszedł jednak w pełni, gdyż niektóre liczebniki zachowały pewne gramatyczne własności rzeczownika.
Takie przesunięcie profilu rozpatrywać można z kategoriach metonimii pojęciowej, a było ono możliwe
dzięki wysokiej żywotności relacyjnego aspektu znaczenia względem aspektu rzeczownikowego.
Polish cardinal numbers in light of Cognitive Grammar
Summary: The article discusses the semantics of Modern Polish adjectival numerals from the range 5-10 and 100.
The theoretical background for the analysis is Ronald Langacker’s Cognitive Grammar. The main assumption
in the article is that the evolution of numerals consisted in shifting the relational (adjectival)
aspect to the profile of the numeral, which resulted in the numerals gradually losing their nominal character.
The process, however, has not been completed, since the numerals under discussion retain some of
their original nominal properties. This profile shift, best accounted for in terms of conceptual metonymy,
was facilitated by the high vitality of the relational aspect of meaning in relation to the nominal aspect.
“Few people can have seen it” – an investigation into an allegedly non-normative construction with can and the perfect infinitive form
Authors: Szymański Leszek
Published: January 2022

This article discusses an investigation into the English modal predicate with can and the perfect infinitive
form of the main verb. The study uses language samples excerpted from The Corpus of Contemporary
American English, as well as selected data from The Corpus of Historical American English and The
British National Corpus. English grammars tend not to discuss can with the perfect infinitive form, which
can give an impression that it does not exist. Nevertheless, the reported study confirms that can with
the perfect infinitive form is present in both American and British Englishes, mainly in formal, written
communication. In the US, it was used already at the beginning of the 19th century. Furthermore, can with
the perfect infinitive form expresses either the speaker’s reasoning about a hypothetical past situation
or speaker’s certainty that a situation did not take place in the past. Thus, can interacts with the perfect
and yields epistemic readings. Additionally, subject negation extends its scope over the proposition. The
propositional negation interacts with can, thus producing the meaning of speaker’s certainty. Finally, the
findings of the study are used to determine the norms which may underlie the modal predicate with can
and the perfect infinitive form.
“Few people can have seen it” – badanie rzekomo nienormatywnej konstrukcji z czasownikiem can i formą bezokolicznika perfect
Streszczenie: Artykuł omawia badanie angielskiego orzeczenia modalnego z czasownikiem can i formą bezokolicznika
perfect czasownika głównego. W badaniu wykorzystano próbki języka z korpusu The Corpus of Contemporary
American English oraz wybrane dane z korpusów: The Corpus of Historical American English i The British National Corpus. Gramatyki języka angielskiego zwykle nie omawiają can z perfectem, co może sprawiać wrażenie, że ta konstrukcja nie istnieje. Niemniej, opisane badanie potwierdziło obecność can z perfectem w angielszczyźnie zarówno amerykańskiej jak i brytyjskiej, zwłaszcza w oficjalnej komunikacji pisanej. Użycie tej konstrukcji w Stanach Zjednoczonych zarejestrowano już na początku XIX w. Can z perfectem wyraża wnioskowanie mówiącego odnośnie hipotetycznej sytuacji z przeszłości lub pewność nadawcy, że sytuacja nie wystąpiła w przeszłości. Zatem can wchodzi w interakcję z perfectem i w efekcie wyraża znaczenia epistemiczne. Nadto, negacja podmiotu obejmuje swym zasięgiem cały sąd logiczny i wchodzi w interakcję z can, w wyniku czego powstaje znaczenie pewności mówiącego. Na koniec określono normy, które mogły były przyczynić się do powstania orzeczenia modalnego z can i perfectem.
Onomastyka i prawo – miejsca wspólne
Authors: GRAF MAGDALENA
Published: January 2022

Przedmiotem artykułu są wzajemne związki między językoznawstwem (onomastyką) a językiem prawa.
Badania obejmują trzy kategorie nazw własnych: antroponimię, toponimię oraz chrematonimię, a ich
przedmiotem jest omówienie relacji pomiędzy nazwami jako tekstami kultury a tekstami prawniczymi,
w których podejmowane są zagadnienia związane z funkcjonowaniem tych kategorii onimicznych.
Szczegółowe obserwacje dotyczą procesu kształtowania się nazwiska oraz dopuszczanych przez ustawodawstwo
zmian w zakresie imion i nazwisk, najnowszych przepisów dotyczących nazw miejscowych
oraz nazewnictwa miejskiego oraz nazw produktów. Poza ukazaniem wzajemnych relacji między prawem
a lingwistyką zwrócono również uwagę na istotne różnice w definiowaniu i interpretowaniu pojęć
(np. nazwy produktu).
The overlapping of onomastics and the law
Summary: The article addresses the interrelations between linguistics (onomastics) and the language of the law. The
study includes three categories of proper nouns: anthroponymy, toponymy and chrematonymy, and the
aim is to discuss the relation between names seen as cultural texts and legal texts, in which issues related
to the functioning of both of these onimic categories are discussed. The study focuses on the process of
the formation of surnames and on the changes allowed by law in the area of names and surnames. It also
discusses the latest regulations that concern place names, city names, and product names. Apart from
showing the interrelations between the law and linguistics, the author pinpoints significant differences in
the defining and interpreting of concepts (e.g. in the case of product names).
Investigating the Impact of Social Awareness and Rapid Test on A COVID-19 Transmission Model
Authors: Balya Muhammad Afief , Dewi Bunga Oktaviani , Lestari Faza Indah , Ratu Gayatri , Rosuliyana Hanna , Windyhani Tama , Fadhlia Zawir Rifqa , Samiadji Brenda M. , Aldila Dipo , Khoshnaw Sarbaz H. A. , Shahzad Muhammad
Published: January 2022

In this article, we propose and analyze a mathematical model of COVID-19 transmission among a closed population, with social awareness and rapid test intervention as the control variables. For this, we have constructed the model using a compartmental system of the ordinary differential equations. Dynamical analysis regarding the existence and local stability of equilibrium points is conducted rigorously. Our analysis shows that COVID-19 will disappear from the population if the basic reproduction number is less than one, and persist if the basic reproduction number is greater than one. In addition, we have shown a trans-critical bifurcation phenomenon based on our proposed model when the basic reproduction number equals one. From the elasticity analysis, we have observed that rapid testing is more promising in reducing the basic reproduction number as compared to a media campaign to improve social awareness on COVID-19. Using the Pontryagin Maximum Principle (PMP), the characterization of our optimal control problem is derived analytically and solved numerically using the forward-backward iterative algorithm. Our cost-effectiveness analysis shows that using rapid test and media campaigns partially are the best intervention strategy to reduce the number of infected humans with the minimum cost of intervention. If the intervention is to be implemented as a single intervention, then using solely the rapid test is a more promising and low-cost option in reducing the number of infected individuals vis-a-vis a media campaign to increase social awareness as a single intervention.
A Game Dynamic Modeling Framework to Understand the Influence of Human Choice to Vaccinate or to Reduce Contact with Mosquitoes on Dengue Transmission Dynamics
Authors: Ndii Meksianis Z.
Published: January 2022

Strategies for reducing dengue incidence are by minimizing the contact between mosquitoes and human or the use of vaccine. However, the candidate of dengue is not perfect and potentially results in more secondary infection cases.This leads to the question which strategy should be decided by individuals to reduce the chance for being infected by dengue. A game-dynamic modeling framework by coupling epidemic and behavior model has been constructed to study the effects of human decision making behavior on dengue transmission dynamics. We also consider strategies as time-dependent controls and estimate the parameter values against data of dengue incidence in Kupang city, Indonesia. Parameter estimation gives the reproduction number of 1.17 which indicates the possibility of outbreak occurrence. When the efficacy of reduced contact with mosquitoes is low, the use of vaccination is the best option to reduce dengue incidence. The efficacy of reduced contact with mosquitoes should be at high level to get higher reduction in dengue incidence if no vaccine is available yet. An optimal control approach suggests that a higher level of vaccination rate and the reduced contact with mosquitoes is required to reach optimal reduction in dengue incidence. However, solutions from epidemiological-behavior model showed that individuals are likely to choose one strategy only which has higher cost and the probability of perceived efficacy. The implementation of vaccination helps in reducing dengue incidence. However, understanding the effects of dengue vaccine on secondary infections is required before the delivery of such intervention.
Classical Approach for the Fusion Reaction of Deuterium-Tritium Using 2-D Velocity Verlet Method
Authors: Irawan Dani , Viridi Sparisoma , Kurniadi RIzal , Waris Abdul
Published: January 2022

Fusion reaction simulation of two types of nucleon: proton and neutron, is reported in this paper. The interactions between these nucleons are assumed to be only the nuclear force and electrostatic. The modeling is done in a classical approach where molecules formed by the nucleons are being collided with each other. In the model, some parameters were configured to see how these parameters affect the simulation. Some interesting results is that we can find a stable Helium-5 and a neutron-neutron pair as the product of the collision which should not have been possible due to the the quark interactions inside them. This leads us to a conclusion that we need to add a force-model for quark interaction. We do this by using an electrostatic-like force. However using this model, we may end up to instability of the tritium. In this paper we also report a configuration where the neutron-pair is unstable while tritium is stable.
Skyrme-Extended-Thomas-Fermi Approach Method In Investigation of Nuclear Ground State Properties of 208Pb
Authors: Yulianto Yacobus , Su'ud Zaki
Published: January 2022

In this research, it is performed the nuclear ground state properties investigation of 208Pb by using the SETF method with SLy4 set parameters. The energy optimization calculation is performed using SETFA code. The SETFA results are in good agreement with the related experiment results, and also with the results of the HFBRAD and HFODD- HFBTHO codes. It is can be indicated that Skyrme-Extended-Thomas-Fermi method can be used to explain the nuclear ground state properties, especially even-stable nucleus.