bluuebunny/crossref_metadata_2025 huggingface dataset:
End-To-End Evaluation of Deep Learning Architectures for Off-Line Handwriting Writer Identification: A Comparative Study
Authors: Suteddy Wirmanto , Agustini Devi Aprianti Rimadhani , Adiwilaga Anugrah , Atmanto Dastin Aryo
Published: March 2023

Identifying writers using their handwriting is particularly challenging for a machine, given that a personâ€™s writing can serve as their distinguishing characteristic. The process of identification using handcrafted features has shown promising results, but the intra-class variability between authors still needs further development. Almost all computer vision-related tasks use Deep learning (DL) nowadays, and as a result, researchers are developing many DL architectures with their respective methods. In addition, feature extraction, usually accomplished using handcrafted algorithms, can now be automatically conducted using convolutional neural networks. With the various developments of the DL method, it is necessary to evaluate the suitable DL for the problem we are aiming at, namely the classification of writer identification. This comparative study evaluated several DL architectures such as VGG16, ResNet50, MobileNet, Xception, and EfficientNet end-to-end to examine their advantages to offline handwriting for writer identification problems with IAM and CVL databases. Each architecture compared its respective process to the training and validation metrics accuracy, demonstrating that ResNet50 DL had the highest train accuracy of 98.86%. However, Xception DL performed slightly better due to the convergence gap for validation accuracy compared to all the other architectures, which were 21.79% and 15.12% for IAM and CVL. Also, the smallest gap of convergence between training and validation accuracy for the IAM and CVL datasets were 19.13% and 16.49%, respectively. The results of these findings serve as the basis for DL architecture selection and open up overfitting problems for future work.
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Authors: Suboh Syahirah , Aziz Izzatdin Abdul , Shaharudin Shazlyn Milleana , Ismail Saidatul Akmar , Mahdin Hairulnizam
Published: March 2023

In data analysis, recognizing unusual patterns (outliersâ€™ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. As a result, numerous techniques for finding anomalies have been developed, and more are still being worked on. Researchers can gain vital knowledge by identifying anomalies, which helps them make better meaningful data analyses. However, anomaly detection is even more challenging when the datasets are high-dimensional and multivariate. In the literature, anomaly detection has received much attention but not as much as anomaly detection, specifically in high dimensional and multivariate conditions. This paper systematically reviews the existing related techniques and presents extensive coverage of challenges and perspectives of anomaly detection within high-dimensional and multivariate data. At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. This paper aims to help select the best technique that suits its rightful purpose. It has been found that PCA, DOBIN, Stray algorithm, and DAE-KNN have a high learning rate compared to Random projection, ROBEM, and OCP methods. Overall, most methods have shown an excellent ability to tackle the curse of dimensionality and multivariate features to perform anomaly detection. Moreover, a comparison of each algorithm for anomaly detection is also provided to produce a better algorithm. Finally, it would be a line of future studies to extend by comparing the methods on other domain-specific datasets and offering a comprehensive anomaly interpretation in describing the truth of anomalies.
Batik Images Retrieval Using Pre-trained model and K-Nearest Neighbor
Authors: Minarno Agus Eko , Hasanuddin Muhammad Yusril , Azhar Yufis
Published: March 2023

Batik is an Indonesian cultural heritage that should be preserved. Over time, many batik motifs have sprung up, which can lead to mutual claims between craftsmen. Therefore, it is necessary to create a system to measure the similarity of a batik motif. This research is focused on making Content-Based Image Retrieval (CBIR) on batik images. The dataset used in this research is big data Batik images. The authors used transfer learning on several pre-trained models and used Convolutional Neural Network (CNN) Autoencoder from previous studies to extract features on all images in the database. The extracted features calculate the Euclidean distance between the query and all images in the database to retrieve images. The image closest to the query will be retrieved according to the number of r, namely 3, 5, 10, or 15. Before the image is retrieved, the retrieval system is used to re-ranked with K-Nearest Neighbor (KNN), which classifies the retrieved image. The results of this study prove that MobileNetV2 + KNN is the best model in terms of Image Retrieval Batik, followed by InceptionV3 and VGG19 as the second and third ranks. Moreover, CNN Autoencoder from previous research and InceptionResNetV2 are ranked fourth and fifth. In this study, it was also found that the use of KNN re-ranking can increase the precision value by 0.00272. For further research, deploying these models, especially for MobileNetV2 is an approach for seeing a major impact on batik craftsmanship for decreasing batik motif plagiarism.
The Joint Decision-Making Support through Piecewise Objective Optimization Model for Integrated Supplier Selection, Inventory Management, and Production Planning Involving Discounts
Authors: Widowati - , Sutrisno - , Utomo Robertus Heri Soelistyo
Published: March 2023

The decision-makers in manufacturing industries continuously optimize every supply-chain part to achieve optimal profit. In this paper, three crucial activities in the supply chain are observed as profit contributors: supplier selection, inventory management, and production planning. Decision-making support is needed to optimize those activities, especially when prices/costs involve discounts. Therefore, this study aims to develop integrated decision-making support for supplier selection, inventory management, and production planning involving discounted prices. The problem was considered with multi-supplier, multi-raw material, multi-product, and multi-observation time instant. The objective was based on maximizing the profit for the entire activity, i.e., from the raw material procurement and storage to the production. This supply chain was modeled as mixed-integer linear programming with a piecewise objective function representing the profit, which was maximized. It was also modeled with a bunch of constraint functions, including product demand satisfaction. The proposed model was tested with computational simulations using randomly generated supply chain data. The primal simplex algorithm was also employed to calculate the real value of the optimal decision, which was combined with the Branch-and-Bound approach to calculate the appropriate integer solution. The results showed that the optimal decision was achieved, namely (1) The optimal quantity of raw materials ordered to each supplier, (2) The optimal production quantity, and (3) The optimal inventory level, which provided the maximal profit for the whole optimization time horizon. This indicated that the proposed decision-making support model is implementable for industrial decision-makers.
Roboswab: A Covid-19 Thermal Imaging Detector Based on Oral and Facial Temperatures
Authors: Astawa I Nyoman Gede Arya , Subagia I.D.G Ary , Vista IV Felipe P. , Adhi IGAK Cathur , Suta Atmaja I Made Ari Dwi
Published: March 2023

The SARS-CoV-2 virus has been the precursor of the coronavirus disease (COVID-19). The symptoms of COVID-19 begin with the common cold and then become very severe, such as those of Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). Currently, polymerase chain reaction (PCR) is used to detect COVID-19 accurately, but it causes some side effects to the patient when the test is performed. Therefore, the proposed "Roboswab" was developed that uses thermal imaging to measure non-contact facial and oral temperature. This study focuses on the performance of the proposed equipment in measuring facial and oral temperature from various distances. Face detection also involves checking whether the subject is wearing a mask or not. Image processing methods with thermal imaging and robotic manipulators are integrated into a contact-free detector that is inexpensive, accurate, and painless. This research has successfully detected masked or non-masked faces and accurately detected facial temperature. The results showed that the accurate measurement of facial temperature with a mask is 90% with an error of +/- 0.05%, while it was 100% without a mask. On the other hand, the oral temperature was measured with 97% accuracy and an error of less than 5%. The optimal distance of the Roboswab to the face for measuring temperature is an average of 60 cm. The Roboswab tool equipped with masked or non-masked face detection can be used for early detection of COVID-19 without direct contact with patients.
The Design of E-Commerce System to Increase Sales Productivity of Home Industry in Indonesia
Authors: Agitha Nadiyasari , Husodo Ario Yudo , Afwani Royana , Al Anshary Faishal Mufied
Published: March 2023

The household industry is the foundation of the existing home industry in Indonesia. It is categorized as a type of Small and Medium Enterprises (MSMEs) that significantly influence the Gross Domestic Product (GDP) ratio by up to approximately 10%. Since the pandemic of Covid-19, the home industry has increasingly stretched, especially in culinary and home craft products. The internet is one of the efforts to increase household industry sales. The household industry needs e-commerce to be a container for marketing its products. In this paper, we design an e-commerce system to support the sales productivity of the household industry in Indonesia. This study's e-commerce system or application is developed through some crucial stages. The stages are analysis through a questionnaire that represents needs in the field, selection of business models, namely B2B models with Virtual Storefront, marketplace concentrators, and lastly, Information Broker. Our infrastructure is determined for e-commerce development, and then strategy analysis is done using portfolio analysis, SWOT analysis, and competitor analysis. Based on the proposed strategy, we made a prototype as a designed e-commerce system that can increase sales for household businesses in cities in Indonesia. Important features in our proposed e-commerce system can accommodate many sellers or the household industry to establish relationships with many buyers based on geographical location, product search features based on closest positions or by city, and product categorization by familiar categories with household products.Â
The IT Services Management Architecture Design for Large and Medium-sized Companies based on ITIL 4 and TOGAF Framework
Authors: Santosa Iqbal , Mulyana Rahmat
Published: March 2023

The development of information technology occurs rapidly in almost all areas of life. All companies must immediately carry out a business transformation following the development of information technology to survive amid increasingly fierce competition. One of the keys to this business transformation's success is an enterprise architecture that is used as a reference in planning, developing, operating, and monitoring company information technology. Implementation of service management practices in state-owned enterprises needs to be translated into IT Services Management Architecture Design, that match the IT Governance Principles as mandated in PER-03/MBU/02/2018. This research focuses on preparing an enterprise architecture design in IT service management by referring to ITIL 4 best practices. The resulting solution is a target architecture design in the business domain, data, and applications arranged according to the TOGAF framework. It was carried out in four stages: scope identification, which defines practices; preliminary phase, which resulted in 11 architecture principles; architecture vision that produces a value chain for IT service provider organizations; a business architecture which resulted in a business service/function catalog consisting of 13 business functions and 43 business services; and an information system architecture that produces a conceptual data model on the three main priority processes of IT service management and an application use-case diagram that describes the relationship between the four actors (users, service managers, service desks, and support groups) with their roles in applications. The enterprise architecture has been designed following the scope of IT service management practices commonly used as a reference for all large and medium-sized companies.
The Design of Convolutional Neural Networks Model for Classification of Ear Diseases on Android Mobile Devices
Authors: Suta Wijaya I Gede Pasek , Mulyana Heru , Kadriyan Hamsu , Fa'rifah Riska Yanu
Published: March 2023

An otorhinolaryngologist (ORL) or general practitioner diagnoses ear disease based on ear image information. However, general practitioners refer patients to ORL for chronic ear disease because the image of ear disease has high complexity, variety, and little difference between diseases. An artificial intelligence-based approach is needed to make it easier for doctors to diagnose ear diseases based on ear image information, such as the Convolutional Neural Network (CNN). This paper describes how CNN was designed to generate CNN models used to classify ear diseases. The model was developed using an ear image dataset from the practice of an ORL at the University of Mataram Teaching Hospital. This work aims to find the best CNN model for classifying ear diseases applicable to android mobile devices. Furthermore, the best CNN model is deployed for an Android-based application integrated with the Endoscope Ear Cleaning Tool Kit for registering patient ear images. The experimental results show 83% accuracy, 86% precision, 86% recall, and 4ms inference time. The application produces a System Usability Scale of 76.88% for testing, which shows it is easy to use. This achievement shows that the model can be developed and integrated into an ENT expert system. In the future, the ENT expert system can be operated by workers in community health centres/clinics to assist leading health them in diagnosing ENT diseases early.
Android-based System Monitoring of Supporting Variables for Nursery-Plant Growth in Plantation Areas
Authors: Nugraha Adis Kusyadi , Mutiara Giva Andriana , Gunawan Tedi , Hapsari Gita Indah
Published: March 2023

In cultivating timber trees, farmers must pay attention to the seed selection with superior heredity, hormones, and the condition of the plantation area that supports the growth of nursery plants properly. Several factors that support the growth of nursery plants are nutritional factors, sunlight, temperature, soil pH, water, and soil moisture. In terms of effectiveness and ease of access to information in monitoring the supporting condition factors and facilitating the farmers, an Android-based monitoring system was built to monitor the growth of nursery plants. The system consists of several sensors, such as a soil pH sensor, UV light sensor, and soil moisture sensor embedded with Raspberry pi and firebase. The proposed system was examined on a plantation area of 900 square meters. The testing is conducted by placing a combination of 4 to 8 sensors in the plantation area. Data from each sensor is processed by calculating the average, and the results are rounded to the nearest value. The test stated that to monitor an area of 900 square meters, the area with five sensors implanted can be used as the optimal implementation. Apart from economic reasons, the minor rounding error equals 8.25% compared to the number of other sensors. The results that are informed to the farmers are also within the appropriate range. There are no significant differences, and this approach can be used to implement in a broader area
Chatbot for Diagnosis of Pregnancy Disorders using Artificial Intelligence Markup Language (AIML)
Authors: Rahmatulloh Alam , Ginanjar Anjar , Darmawan Irfan , Kurniati Neng Ika , Haerani Erna
Published: March 2023

Artificial Intelligence has evolved in sophistication and widespread use. This study aims to create a chatbot application in the health sector regarding the early diagnosis of pregnancy disorders. Based on basic health research, only 44 percent of pregnant women know the danger signs of pregnancy. The chatbot application developed is expected to facilitate and increase knowledge for pregnant women about the danger signs of pregnancy, especially early diagnosis of pregnancy disorders. The chatbot application was developed with artificial intelligence technology based on Artificial Intelligence Markup Language with the question-answer concept using the Pandorabots framework. The test is carried out in two stages: functional and pattern matching. The functional testing uses the black-box testing method, and the pattern-matching test on the chatbot uses the sentence similarity and bigram methods based on user input and keywords similarity in the bot's knowledge base. The functional testing results show that the chatbot application runs well, with the eligibility criteria reaching 81.4% and the results of the keyword similarity test (pattern matching) are zero to one, in the sense that the value of one has the same similarity between user input and pattern. Meanwhile, the zero value has no similarities, so the bot will respond to it as free input. So it can be concluded that the bot can respond to user questions when the pattern and input have the same level of similarity.
Knowledge Management Factors and Its Impact on Organizational Performance: A Systematic Literature Review
Authors: Darmawan Slamet , Agusvina Novia , Lusa Sofian , Sensuse Dana Indra
Published: March 2023

Knowledge management can help organizations to improve their performance.Â Many studies show that knowledge management impacts organizational performance. Human capital is considered a mediating role in knowledge management's impact on organizational performance, but it is still blurred, and only a few studies are related to this issue. Moreover, various factors influence knowledge management, such as organizational structure, culture, technology, strategy, trust, and leadership, butÂ maybe other factors have not been identified. This factor can help knowledge management impacts organizational performance. This study was conducted to determine how the human capital role mediates the impact of knowledge management on organizational performance and determine another factor that affects knowledge management, which can impact organizational performance.Â This study was based on the Systematic Literature Review (SLR), which includes 37 articles published from 2016 to 2021. The study showed that human capital mediates the impact of knowledge management on organizational performance directly and indirectly through innovation. Meanwhile, organizational structure, culture, trust, leadership, human behavior, human resources practices, technology, and strategy are identified as factors that affect knowledge management, whereas human resources practices affect human behavior and leadership. Finally, we proposed a conceptual model that described how knowledge management factors impact human capital and organizational performance. This research can contribute to enriching knowledge management theory and be used to give recommendations for improving the implementation of knowledge management. Further research involves data collection, and empirical analysis needs to be conducted in an organization to examine the conceptual model.
Exploring The Determinants of Supply Chain Social Sustainability Disclosure for Indonesian Banking
Authors: Marsintauli Frihardina , Novianti Eka , Situmorang Roni Patar
Published: March 2023

Supply chain transformation that focuses on sustainability encourages companies not only for business growth but also to improve the welfare of the people along the supply chain. The company considers business decisions to reduce environmental impacts arising from the supply chain and positively impact society. Banking has a close relationship with technological developments that strongly support the banking business processes in producing customer services. This study aimed to identify and analyze the factors that influence a banking sector's disclosure of a sustainability report. This quantitative research uses data processing with multiple regression analysis by using SPSS. The research object is a company engaged in the financial services sector listed on the Indonesia Stock Exchange in 2017-2019 with a purposive sampling method. This study indicates that only foreign ownership has influenced sustainability report disclosure. In contrast, profitability, leverage, the board of directors, and the audit committee have no effect. Characteristics and culture of foreign parties who are very concerned about the future risk of the business activities believed able to encourage Indonesian Banking to make changes to business processes and tend to pay attention to the resulting business impact and weigh the business risks that arise in the future. This will lead to sustainable changes in the company and the stakeholders in the utilization of resources, processes, and business outputs generated. Banking in Indonesia should transform into a supply chain strategy concerned with the quality of disclosure of the company's business sustainability on social, environmental, and economic aspects
Predicting the Welfare Cost of Premature Deaths Based on Unsafe Sanitation Risk using SutteARIMA and Comparison with Neural Network Time Series and Holt-Winters
Authors: Annas Suwardi , Saleh Ahmar Ansari , Hidayat Rahmat
Published: March 2023

Unhealthy and unsafe sanitation will make it easier for various diseases to attack the body. In addition, unsafe sanitation will also affect a country's economy, including declining welfare, tourism losses, and environmental losses due to the loss of productive land. The research aimed to estimate the welfare cost of premature deaths based on unsafe sanitation risks using the SutteARIMA, Neural Network Time Series, and Holt-Winters. The study analyzed estimates and projections of the welfare cost of premature deaths based on the risks of unsafe sanitation of BRICS countries (Brazil, Russia, Indonesia, China, and South Africa). The data in this research used secondary data. Secondary time series data was taken from the Environment Database of the OECD. Stat. (Mortality and welfare cost from exposure to environmental risks). The data on the study was based on variables: welfare cost of premature deaths, % GDP equivalent, risk: unsafe sanitation, age: all, sex: both, unit: percentage, and data from 2005 to 2019. The three forecasting methods (SutteARIMA, Neural Network Time Series, and Holt-Winters) were juxtaposed in fitting data to see the forecasting methods' reliability and accuracy. The accuracy of forecasting results was compared based on MAPE and MSE values. The results of the research showed that the SutteARIMA and NNAR(1,1) methods were best used to predict the welfare cost of premature deaths in view of unsafe sanitation risks for BRICS countries.
Machine Learning Algorithms Based on Sampling Techniques for Raisin Grains Classification
Authors: Bisri Achmad , Man Mustafa
Published: March 2023

Raisin grains are among the agricultural commodities that can benefit health. The production of raisin grains needs to be classified to achieve optimal results. In this case, the classification is carried out on two types of grains, namely Kecimen and Besni. However, inaccurate sample data can affect the performance of the model. In this study, two sampling techniques are proposed: stratified and shuffled. The proposed classification model is RF, GBT, NB, LR, and NN. This study aims to identify the performance of classification models based on sampling techniques. Classification models are applied to the seven-features dataset, and modeling is done by cross-validation. The results of the models were tested with a different amount of test data. The performance of the models was evaluated related to accuracy and AUC. The best outcomes of all models based on stratified sampling were founded on tested data of 40 percent with a mean accuracy of 85.50% and an AUC of 0.921. In comparison, models based on shuffled sampling were founded on test data of 20 percent with a mean accuracy of 88.11% and an AUC of 0.935. On the other hand, classification models based on a stratified sampling of all data splits do not all models generate an excellent category. Whereas, based on shuffled sampling, all models resulted in the excellent category. Therefore, models based on shuffled sampling are superior to stratified sampling. The result of the significant test, RF, significantly differs based on sampling techniques.
Edukasi Hibiscus Sabdariffa (Bunga Rosella) Sebagai Peluang Berwirausaha
Authors: Hartutik Hartutik , Usman Usman , Alham Fiddini
Published: March 2023

Mayoritas masyarakat gampong Asam Peutik yang berada di Kota Langsa bermata pencaharian dari sektor pertanian. Permasalahan ekonomi di gampong ini pada umumnya belum terdapat sarana prasarana yang memadai untuk meningkatkan sumber pendapatan masyarakat dan fasilitas pelayanan umum untuk menunjang perekonomian yang bertumpu pada ekonomi kerakyatan dengan memanfaatkan potensi lahan atau pekarangan masing-masing. Tujuan pengabdian untuk memberikan edukasi penanaman bunga rosella dan peluang berwirausaha warga gampong Asam Peutik Kota Langsa. Metode yang digunakan sosialisasi kepada kader PKK dan warga sejumlah 35 orang. Evaluasi yang dilakukan dengan mengundang geuchik, kader PPK, dan warga pasca penyuluhan untuk rencana penanaman massal. Hasil yang dicapai warga mengetahui teknik penanaman dengan tujuan agar dapat memberdayakan sendiri bunga rosella dari bibit yang diberikan oleh tim pengabdi serta dapat mengolah menjadi teh rosella sebagai peluang berwirausaha. Selain itu dari pengabdian ini dihasilkan produk teh bunga rosella dan meningkatnya pemahaman peserta pengabdian dari aspek; budidaya bunga rosella sebesar 90%,  pembuatan teh rosella dan packing produk sebesar 85%, dan peluang berwirausaha teh bunga Rosella sebesar 90%. Warga juga berhasil membudidayakan tanaman rosella sendiri.
On Hierarchy and Stratification in Polynesia
Authors: Siikala Jukka
Published: March 2023

In this article I will discuss the shifting roles of traditional hierarchy and its relationship to modern state structure in Fiji, Western Samoa and the Kingdom of Tonga. The interesting interplay of different levels of social integration has unfolded in conflicting ways in actual social practice. The combination of individualistic ideologies and democracy with traditional chiefly authority in these Pacific societies illuminates the complex ways in which authority and hierarchy are structurally linked, ways which in turn provide insights into the modes whereby hierarchy operates in present day social and political contexts.

 

Keywords: chieftaincy, democracy, Fiji, hierarchy, politics, Tonga, Western Samoa
A Conversation with Marilyn Strathern
Authors: Ruckenstein Minna , Eräsaari Matti
Published: March 2023

Professor Strathern recently delivered the 25th annual Westermarck Memorial Lecture in Helsinki: the lecture, titled ‘Comparing Concerns’, was published in issue 4/2009 of Suomen Antropologi. In the lecture Professor Strathern highlighted a number of unvoiced assumptions prevalent in the fields of organ, tissue and blood donations, through a comparison of contexts that are often considered incompatible. This is a perspective that has been dominant in much of her work: opening up new angles of approach through comparisons from a broad range of fields including personhood, gender, systems of kinship, law, intellectual and cultural property, and new reproductive technologies, to mention but some of her interests. In addition, she has been an active discussant onquestions of administrative reforms in academia, though she does not regard herself as political in the sense that many people who read her work actually do. These were the issues that were foremost in our minds as we sat down for a conversation with Professor Strathern. In between her Westermarck lecture, a seminar held in her honour, and the Finnish Anthropological Society Christmas party, time was a scarce resource; we therefore decided to waste no words on idle chit-chat and dove right in at the deep end.
Transcending Whose Past? A critical view of the politics of forgetting in contemporary Taiwan
Authors: Chen Chien-Yuan
Published: March 2023

The repeated renaming of the Chiang Kai-shek Memorial Hall and ensuing debates (2007–2009), reveal the multiple presences of collective memory andthe ongoing ideological struggles between the Kuomintang and the Democratic Progressive Party in contemporary Taiwan. This paper examines the dynamicand intertwined relationships between collective memories and competing histories which are exposed by the renaming and its aftermath. An emphasis on forgetting as well as ‘transcending the past(s)’ (chaoyue guochu) have become common strategies that function to incorporate the two contradictory versionsof national history in contemporary Taiwan—implying not only amnesia about the other side’s past but also the suppression of diverse voices. Moreover, bothparties compete to narrate a ‘national history’ from victimized perspectives, resulting in the adoption of different periods of Taiwan’s past to support theirpolitical assertions.

 

Keywords: Chiang Kai-shek Memorial Hall, collective memory, national history
Remembering and Forgetting the Korean War in the Republic of Korea
Authors: Lee Hyeon Ju
Published: March 2023

The Korean War had no official ending and has continued in a form of Cold War since 1953, the year the cease-fire agreement was signed, and yet, during the  past five decades, it appears to have faded from South Korean memory. Anti-communism became a national ideology in post-war South Korea. For a country that was endeavoring to establish a national identity that differs from communist North Korea, the establishment of an anti-communist state was inevitable. However, the collapse of the Communist Bloc and a humanitarian crisis in North Korea in the 1990s led to attitudinal changes in the South Korean public toward North Korea. The forgetting and remembering of North Korea in conjunction with the memory of the Korean War has left the South Korean people ambivalent toward North Koreans. This paper explores social encounters between North and South Koreans in the late 2000s in Seoul that illustrate the uneasy interactions that stem from past anti-communist education as well as the subsequent erasure of social memory about North Korea as part of Korean culture.

 

Keywords: history, memory, migration, North Korean refugees
Afterword: Concluding thoughts on the politics of memory in Asia
Authors: Schwenkel Christina
Published: March 2023

Anthropological research on memory and memorial practices has proliferated in the discipline in recent years. This unprecedented ‘memory boom’ has not been without its critics, however. David Berliner (2005), for example, has argued that the study of memory in its multiple discursive forms and settings (social, national, material, cultural...) has resulted in categorical and terminological confusion. On the other hand, as the papers in this collection so aptly demonstrate, the ethnographic study of memory remains a fertile terrain for examining the high stakes involved in struggles to attain voice, presence and representation in history (Litzinger 2000: 69). For studies of memory, Michel-Rolph Trouillot once argued, must firstly attend to competing claims to history, truth, power and subjectivity. ‘What matters most,’ he wrote, ‘are the process and conditions of the production of [historical] narratives (...) [and] the differential exercise of power that makes some narratives possible and silences others’ (1995: 25).
Meandering along the ICL Path: Where are we headed? .
Authors: Fisher Kirsten
Published: March 2023

International criminal law (ICL) is still a fresh adventure. In an attempt to respond to atrocities that ‘shock the conscience of humanity’ (United Nations 1998), there were starts and stops and stumbles. The project of holding individuals accountable developed slowly, then came to a halt before regaining momentum; it faced charges of partiality and injustice, but is seen by many as a bright path in a fight to end impunity for perpetrators of pervasive and purposeful mass political violence. The current main debates concern the right institutions by which to administer ICL, including whether any judicial mechanismis necessary, or even reasonable, for transitional justice (see Tutu 1999). A major challenge is in developing an institution that can balance the ownership needs of a community with the need for a certain level of external evaluation of cultural practices and values, and the cessation of impunity for local powers.
Truth Commissions and the End of History
Authors: Kallinen Timo
Published: March 2023

Transitional justice refers to a set of judicial initiatives that have been used in so-called post-conflict societies in transition from war to peace or from authoritarian rule to democracy. By the turn of the millennium, transitional justice had become a dominant global model and the list of countries that have undertaken some form of transitional justice is large and constantly growing. Truth commissions are a popular form of transitional justice. They are defined as investigative bodies that have been mandated by their sponsor governments to clarify controversial historical events and contribute to criminal justice efforts, reparations for victims, development of stable public institutions, and national reconciliation (Freeman 2006: 40–87). What is known to the general publicas a paradigmatic case of the truth commission is, of course, the Truth and Reconciliation Commission of South Africa set up in 1995. It was only after the South African experience that the idea of a truth commission holding public, victim-centred hearings became the norm (ibid.: 24–25).
Edward Dutton. The Finnuit: Finnish Culture and the Religion of Uniqueness .
Authors: Hart Linda
Published: March 2023

Edward Dutton. The Finnuit: Finnish Culture and the Religion of Uniqueness. Budapest: Akadémiai Kiadó, 2009. Pp. 288. ISBN: 978-963-05-8731-0.
Bret Gustafson. New Languages of the State: Indigenous Resurgence and the Politics of Knowledge in Bolivia
Authors: Ranta-Owusu Eija
Published: March 2023

Bret Gustafson. New Languages of the State: Indigenous Resurgence and the Politics of Knowledge in Bolivia. Durham and London: Duke UniversityPress, 2009. Pp. 352. ISBN: 978-0-8223-4529-9 (cloth); 978-0-8223-4546-6 (paperback).
Rupert Stasch. Society of Others: Kinship and Mourning in a West Papuan Place .
Authors: Tammisto Tuomas
Published: March 2023

Rupert Stasch. Society of Others: Kinship and Mourning in a West Papuan Place. Berkeley, Los Angeles and London: University of California Press, 2009. Pp.336. ISBN: 978-0-520-25685-9 (hardback); 978-0-520-25686-6 (paperback).
Распределение 177Lu-ДОТА-ПСМА в организме мышей с карциномой предстательной железы 22Rv1
Authors: Тищенко Виктория Константиновна , Петриев Василий Михайлович , Власова Оксана Петровна , Легкодимова Надежда Сергеевна , Крылов Валерий Васильевич , Морозова Наталья Борисовна , Панкратов Андрей Александрович , Шегай Петр Викторович , Иванов Сергей Анатольевич , Каприн Андрей Дмитриевич
Published: March 2023

Простатспецифический мембранный антиген (ПСМА), сверхэкспрессированный при раке предстательной железы, является хорошо изученной мишенью для терапии этого заболевания с использованием ПСМА-специфических радиолигандов. Цель работы — изучение биораспределения отечественного радиофармацевтического лекарственного соединения (РФЛС) 177Lu-ДОТА-ПСМА в организме мышей BALB/c nu/nu (nude) с перевитой карциномой предстательной железы человека 22Rv1. 177Lu-ДОТА-ПСМА вводили внутривенно (0,30 МБк/мышь), а уровни накопления препарата в органах и тканях рассчитывали в процентах от введенной дозы. Было показано, что концентрация РФЛС 177Lu-ДОТА-ПСМА в опухоли за 120 ч снижалась с 2,46 ± 0,15 %/г до 0,020 ± 0,007 %/г. Наиболее высокая концентрация РФПС (до 14,578 ± 1,151 %/г) была зарегистрирована в почках. Также отмечено быстрое выведение 177Lu-ДОТА-ПСМА из остальных внутренних органов.
Синтез, анальгетическая и противовоспалительная активность 5-арил-4-(4-галогенбензоил)-3-гидрокси-1-карбоксиметил-3-пирролин-2-онов
Authors: Пастухова Евгения Валерьевна , Чащина Светлана Викторовна , Булдакова Евгения Анатольевна , Гейн Владимир Леонидович , Мокрушин Иван Геннадьевич
Published: March 2023

Взаимодействием метиловых эфиров п-галогенбензоилпировиноградных кислот со смесью ароматического альдегида и гликокола в среде ледяной уксусной кислоты в присутствии безводного ацетата натрия получены 5-арил-4-(4-галогенбензоил)-3-гидрокси- 1-карбоксиметил-3-пирролин-2-оны. Исследована анальгетическая активность полученных веществ по методу «горячая пластина», определена их противовоспалительная активность на модели асептического каррагенинового воспаления. Установлено, что изученные соединения обладают выраженной анальгетической активностью. Кроме того, соединение III обладает выраженной антиэкссудативной активностью.
Изучение взаимодействия ионов меди (II) с пектином в растворе
Authors: Кайшева Нелли Шаликовна , Кайшев Александр Шаликович
Published: March 2023

Поиск новых детоксикантов, обеспечивающих эффективное связывание токсичных металлов и сохраняющих содержание в организме человека жизненно важных металлов, в настоящее время является актуальной проблемой фармации. В этой связи перспективными соединениями представляются пектины — природные полисахариды, способные к распределению даже в малодоступных биологических тканях, усиливающие обезвреживающую функцию печени, ускоряющие эвакуацию кишечного содержимого. Цель исследования: экспериментальное обоснование возможности использования свекловичного пектина (СП) для связывания ионов токсичных металлов (на примере Cu(II)) путем определения состава и устойчивости растворимых продуктов взаимодействия (CuСП). Для исследования использованы методы анализа: спектрофотометрия и потенциометрия. Состав и устойчивость CuСП изучены методами: молярных отношений («метод насыщения»), ограниченно-логарифмическим (метод Бента — Френча), наименьших квадратов, сдвига равновесий. В результате исследования установлено образование только одного продукта, содержащего 2 моль мономера СП на 1 моль Cu(II). Установлена относительно высокая устойчивость комплекса СП с Cu(II) (lgβ 6,97 – 7,69), не превосходящая таковую для биологических комплексов аминокислот, нуклеотидов, ферментов (lgβ 14,4 – 16,0) и популярного натрия эдетата (lgβ 18,8). При этом комплекс СП с биогенными металлами значительно менее устойчив (lgβ 1,24 – 2,35), чем биологические комплексы аминокислот, нуклеотидов, ферментов (lgβ 4,5 – 6,1) и натрия эдетата (lgβ 10,7 – 13,79). Относительно высокая эффективность связывания СП ионов токсичных металлов при низкой селективности к биогенным металлам, с учетом дополнительных биологических свойств, обусловливают преимущества СП как антидота по сравнению с известными детоксикантами.
Глубокие эвтектические растворители: история, свойства и перспективы
Authors: Джавахян Марина Аркадьевна , Прожогина Юлия Эдуардовна
Published: March 2023

Глубокие эвтектические растворители (ГЭР) представляют собой смеси, температура плавления которых ниже, чем у отдельных их компонентов. Уникальные свойства ГЭР позволяют говорить о них как о совершенно новых веществах с еще не раскрытыми потенциальными достоинствами и недостатками. Данный обзор включает описание истории изучения ГЭР, их свойств и характеристик, физико-химических параметров, информацию о токсикологическом профиле, а также взгляд на дальнейшие перспективы применения.
Получение и исследование физико-химических свойств аморфной формы ибрутиниба
Authors: Золотов С. А. , Сазонов Г. К. , Даин И. А. , Пономарев Е. С. , Золотова А. С.
Published: March 2023

В работе приведены основные параметры лиофилизации, позволяющие получить аморфную активную фармацевтическую субстанцию (АФС) ибрутиниба. Аморфная АФС, наряду с кристаллической, изучена с помощью рентгеновской порошковой дифрактометрии, сканирующей электронной микроскопии и дифференциальной сканирующей калориметрии. Для обеих форм определены размер частиц, температура плавления, гигроскопичность и влагосодержание АФС, а также растворимость как в органических растворителях, так и в водных растворах. Таким образом, лиофилизация из бинарной системы органических растворителей диметилсульфоксид/трет-бутанол позволяет получить аморфную форму ибрутиниба, без добавок ингибиторов кристаллизации и исключить их влияние на АФС, превосходящую в растворимости кристаллическую форму А, используемую в оригинальном лекарственном препарате.
Разработка способов пробоподготовки витаминно-минеральных комплексов и определение их элементного состава методом рентгенофлуоресцентного анализа с полным внешним отражением
Authors: Данилов Дмитрий Валерьевич , Шаранов Павел Юрьевич , Алов Николай Викторович
Published: March 2023

Описан способ пробоподготовки витаминно-минеральных комплексов (ВМК) для последующего определения элементного состава методом рентгенофлуоресцентного анализа с полным внешним отражением (РФА ПВО). Предложена подготовка малорастворимых образцов ВМК в виде суспензий в этиленгликоле, так как этот способ позволяет избежать сложной процедуры вскрытия образца, упростить и ускорить процедуру анализа. Для количественного определения использован способ внутреннего стандарта. Результаты определения методом РФА ПВО сопоставлены с данными атомно-эмиссионной спектроскопии с индуктивно связанной плазмой (ИСП АЭС) и с данными, представленными фирмами-производителями. Методом РФА ПВО никель в препарате «Мультимакс» на заявленном производителем уровне не обнаружен. Обнаружение никеля методом ИСП АЭС может быть вызвано его внесением в ходе длительной пробоподготовки при контакте раствора с элементами оборудования, изготовленными из нержавеющей стали. В образце ВМК «Дуовит» было отмечено незначительное содержание хрома и никеля по данным ИСП АЭС. Производителем эти элементы не были заявлены, и методом РФА ПВО не обнаружены. Метод РФА ПВО, хотя и обладает меньшими показателями сходимости по сравнению с широко распространенным методом ИСП АЭС, позволяет использовать значительно более простые методы пробоподготовки (растворение и суспендирование) и сократить время анализа в несколько раз.
Synthesis and Electrochemical Characterizations of Nanostructured Cupric Oxide (CuO) Prepared Via a Simple One-Step Thermal Decomposition Method
Authors:   Lab of electrochemical studies, School of Physical Sciences, P.A.H. Solapur University, Solapur, India., Kambale S. V , Muke D. A ,   Lab of electrochemical studies, School of Physical Sciences, P.A.H. Solapur University, Solapur, India., Shejale S. H ,   Lab of electrochemical studies, School of Physical Sciences, P.A.H. Solapur University, Solapur, India., Mahajan C. M ,   Department of Chemical Engineering, Vishwakarma Institute of Technology, Pune, India., Lokhande B. J ,   Lab of electrochemical studies, School of Physical Sciences, P.A.H. Solapur University, Solapur, India.
Published: March 2023

S. V. Kambale, D. A. Muke, S. H. Shejale, C. M. Mahajan, B. J. Lokhande
PENGARUH SEDIMENTASI TERHADAP KAPASITAS DEBIT RENCANA DAN KINERJA SALURAN PADA SALURAN INDUK CISADANE BARAT LAUT KABUPATEN TANGERANG
Authors: Rossaty Ria , Mu’min Muhammad Ali , Sobara Mohamad
Published: March 2023

Tujuan penelitian ini adalah untuk mengetahui volume sedimen saluran induk cisadane barat laut kabupaten tangerang. Manfaat penelitian untuk mengetahui volume sedimen saluran, sehingga dapat digunakan untuk mengupayakan optimalisasi  fungsi saluran induk,  lokasi dan waktu penelitian ini dilakukan pada saluran induk cisadane barat laut ruas bkw 3 sampai bcbl 3 kabupaten tangerang, waktu yang diperlukan dalam  penelitian ini selama tiga bulan yang  meliputi kegiatan   studi pustaka, pengumpulan data, sekunder, pengolahan data hasil dari pengukuran crossection dan longsection, analisis perbandingan debit rencana dan debit actual saluran dan penyusunan penelitian. Obyek penelitian melakukan survai lapangan pada kondisi awal. Dalam analisis volume sedimen digunakan program cross long (PCL) untuk menentukan volume sedimen. Hasil analisis kapisitas saluran dan konerja saluran. Volume Sedimen pada saluran induk cisadane barat laut kabupaten tangerang diperoleh 21.028,198 m3, Debit rencana menggunakan metode persamaan manning didapat nilai Q rencana = 9, 352 m3/detik sedangkan untuk debit actual lapangan menggunakan metode perhitungan hasil pengukuran longsection didapat nilai Q actual = 5, 028 m3/detik Dari hasil analisa perhitungan didapat presentase dengn nilai 46,235 % luas penampang yang berisi bersedimen, sedangkan luas penampang basah actual lapangan didapat nilai 53,764 %. sehingga sedimen yang menyebabkan pendangkalan/sedimentasi dapat mengurangi kapasitas tampung air di saluran induk. Rekomendasi dari hasil penelitian ini sehubungan dengan adanya potensi kawasan rawan banjir pada saluran tersebut, yang diindikasikan oleh nilai debit banjir maksimum yang melebihi kapasitas saluran, sehingga perlu mengimplementasikan tindakan sipil teknis seperti normalisasi saluran, mengoptimalkan kawasan tampungan air dan daerah resapan air.
ANALISIS KINERJA SIMPANG TAK BERSINYAL JALAN RAYA PANDEGLANG - JALAN AMD LINTAS TIM. – JALAN RAYA SERANG - PANDEGLANG
Authors: Purwanto Sugeng , Haq Saiful , Yanti Sindi Novi
Published: March 2023

Persimpangan merupakan suatu bagian jalan yang menjadi pusat pertemuan dari berbagai pergerakan arus lalu lintas. Pada tipe simpang tak bersinyal, sering dijumpai titik-titik konflik arus lalu lintas yang mengakibatkan kemacetan arus lalu lintas terutama pada jam-jam sibuk. Contoh kasus terdapat di Kabupaten Pandeglang terjadi pada persimpangan Jl. Raya Pandeglang - Jl. AMD Lintas Tim. – Jl. Raya Pandeglang. Lokasi ini dipilih karena pada simpang ini tidak terdapat traffic light dan sering terjadinya kemacetan yang disebabkan oleh titik-titik konflik arus lalu lintas yang tidak teratur pada saat jam sibuk, disekitar jalan pada simpang ini juga merupakan kawasan sekolah, pemukiman, dan juga pertokoan atau komersial. Berdasarkan permasalahan tersebut, dilakukan perhitungan dan analisis data untuk mengetahui kinerja simpang tak bersinyal, kondisi lapangan berdasarkan pedoman MKJI 2017, dan didapat nilai volume tertinggi pada hari minggu sore yaitu mencapai 4997 kend/jam, dengan nilai derajat kejenuhan 1,149 > 0,85, nilai tundaan lalu lintas mencapai 26,54 det/skr, TLLma sebesar 5,72 det/skr, TLLmi sebesar 11,88, tundaan geometrik 4 det/skr, tundaan simpang sebesar, serta kisaran peluang antrian sebesar 28,85 – 28,30%.Kata kunci: Persimpangan, Simpang Tak Bersinyal, MKJI 2017