bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Using Quizlet Toward Students’ Vocabulary Mastery
Authors: Dewi Sri Utami , Rahma Sayida
Published: September 2022

The aim of this research was to know if there is significant effect of using Quizlet toward student vocabulary mastery. This research was using quasi-experimental research with two types of variable. First variable was the application of Quizlet as the independent variable while the second variable was the vocabulary mastery as the dependent variable. The samples in this research are students of eleventh grade at SMA Negeri 2 Trenggalek they were MIPA 2 as experimental group and MIPA 5 as control group. The experimental group was using Quizlet as learning media while the control group was not. The instrument was to collect the data of this research by pre-test and post-test. After the data was collected, the researcher analyzed the data by using independent sample t-test. Based on test the Sig. (2-tailed) of post-test were 0.000 <0.05, than as the basic rules of making independent sample t-test, it can be concluded that H0 is rejected and Ha is accepted. Thus, it can be concluded that there is a significant difference between the average student learning outcomes in the experimental group and the control group. So, Quizlet application is an effective learning media for students' vocabulary mastery
Giải pháp nâng cao chất lượng giảm nghèo bền vững tại huyện Phú Tân, tỉnh Cà Mau
Authors: Phạm Thị Tám
Published: September 2022

Giảm nghèo bền vững là vấn đề phức tạp và phải có chiến lược thực hiện lâu dài.Trong thời gian qua, việc tổ chức triển khai thực hiện các chính sách giảm nghèo trên địabàn huyện Phú Tân, tỉnh Cà Mau đã thu được những kết quả nhất định, đời sống người dânđã thay đổi rõ rệt; điều này cho thấy sự nỗ lực và quyết tâm rất lớn của Đảng bộ, chínhquyền và nhân dân huyện Phú Tân trong việc thực hiện các chính sách giảm nghèo. Tuynhiên công cuộc giảm nghèo trong những năm tiếp theo bên cạnh những thuận lợi sẽ cònnhiều khó khăn, thách thức. Vậy giải pháp nào để thực hiện tốt công tác giảm nghèo bềnvững là vấn đề mà các cấp lãnh đạo, các cơ quan nhà nước đang rất quan tâm. Nghiên cứunày, nhằm đề xuất những giải pháp nhằm nâng cao chất lượng giảm nghèo bền vững tạihuyện Phú Tân tỉnh Cà Mau trong thời gian tới
Giải pháp nâng cao chất lượng quản lý tài sản công tại Công ty Điện lực Dầu khí Cà Mau
Authors: Đặng Thị Thủy Tranh
Published: September 2022

Nghiên cứu tập trung vào việc phân tích đánh giá thực trạng quản lý tài sản công trong doanh nghiệp nhà nước điển hình quản lý tài sản công tại Công ty Điện lực Dầu khí Cà Mau (Công ty ĐLDKCM) giai đoạn 2019-2021. Nâng cao chất lượng quản lý bắt nguồn từ sự minh bạch, minh bạch từ nhu cầu thực tế, minh bạch từ mua sắm, minh bạch trong quản lý, minh mạch trong việc sử dụng sẽ là tiền đề nâng cao chất lượng quản lý tài sản. Trên cơ sở phân tích thực trạng giả đề xuất những giải pháp nhằm nâng cao chất lượng quản lý tài sản công:Xây dựng văn bản quản lý; Áp dụng công nghệ thông tin vào lĩnh vực quản lý; Đào tạo, hướng dẫn; Tăng cường quản lý công tác kiểm kê; Nhóm giải pháp nâng cao hiệu quả sử dụng tài sản ngắn hạn; Nhóm giải pháp nâng cao hiệu quản sử dụng tài sản dài hạn; Giải pháp quản lý theo hiệu quả sử dụng tài sản qua các chỉ tiêu đánh giá hiệu quả sử dụng tài sản (hữu hình/vô hình).
Hoàn thiện cơ chế tự chủ tài chính của các đơn vị sự nghiệp y tế công lập có thu tại tỉnh Cà Mau
Authors: Lê Thị Mỹ Tiếp
Published: September 2022

Nghiên cứu hoàn thiện cơ chế tự chủ tài chính của các đơn vị sự nghiệp y tế cônglập có thu tại tỉnh Cà Mau đã khái quát cơ sở lý luận; đánh giá thực trạng về cơ chế tự chủtài chính giai đoạn 2017-2021; phân tích những nguyên nhân tồn tại hạn chế và đề ra 03giải pháp như sau: (i) Giải pháp để nâng cao tự chủ trong việc thực hiện cơ chế đối với cácnguồn thu và sử dụng các khoản chi tiêu thường xuyên được giao tự chủ; (ii) Giải pháp vềkiểm tra, kiểm soát; (iii) Giải pháp nâng cao khả năng tự chủ tài chính của đơn vị. Ngoàira còn đưa ra bài viết còn nêu lên 03 kết luận liên quan đến hoàn thiện cơ chế tự chủ tàichính của các đơn vị sự nghiệp y tế công lập trên địa bàn tỉnh Cà Mau.
Submission to Parliamentary Joint Committee on Intelligence and Security
Authors: Grossman Michele , Duckworth Mark , Barton Greg , Gerrand Vivian , Vergani Matteo , Peucker Mario , Dellal Hass , Davey Jacob
Published: September 2022

In May 2021, CRIS and AVERT members Professor Michele Grossman, Mark Duckworth, Lydia Khalil, Dr Joshua Roose and Dr Mario Peucker appeared as expert witnesses at the public hearings held in Canberra for the Parliamentary Joint Committee on Intelligence and Security’s Inquiry into Extremist Movements and Radicalism in Australia. Professor Michele Grossman, Mark Duckworth, Professor Greg Barton, Dr Vivian Gerrand, Dr Matteo Vergani, Dr Mario Peucker, Professor Hass Dellal and Jacob Davey
VIDEO WEB DRAMA SERIES FOR COMBATING DISINFORMATION AN INNOVATION IN REACHING AND TEACHING AUDIENCE
Authors: Astuti Santi Indra , Giri Lumakto , Hidayah Nuril
Published: September 2022

Fighting disinformation through anti-hoax training has been successfully carried out all over Indonesia, following the massive anti-hoax campaign. However, the methods of training and teaching fact checking as the basics of the anti-hoax movement to reduce hoaxes and its harmful effects among the public need to be revised. In finding the solution, a new and innovative approach was launched. A web drama series in the form of videos depicting story in popular style was produced and screened in 56 workshops and uploaded in YouTube channel. Analyzing survey based pre-test and post-test questionnaires, toward 603 housewives and 809 young people who represented targets of the Stop Hoax Indonesia (SHI) project in 2019 resulted in some conclusions. For housewives, the web video drama series has added knowledge and motivates them to do fact checking. But for young people, though they show motivations to do fact checking, they weren’t able to discern material regarding the role of journalism as the important element of verifying information. These findings marked the importance of revising training materials using the web video drama to reach maximum effects on various targets. On the other hand, research results have reinforced the need to innovate teaching materials in order to enhance participants' experience in dealing with hoax or disinformation in real life. More videos packed with popular culture style are recommended.
Development and validation of a gas chromatography with a flame ionization detector method for quantitative analysis of four major fatty acids extracted shark liver oil
Authors: Quero-Jiménez Pedro C. , Arias Felipe Lester A. , Jorge Rodríguez María E. , Molina Ruiz Reinaldo , Prieto García Julio O. , de la Torre López Jorge B. , Montenegro Osvaldo N.
Published: September 2022

Context: The shark liver of the species Ginglimostoma cirratun, Carcharhinus longimanus, and Carcharhinus falciformis, captured in the north-central coast of Cuba are a source of oil, whose content of major fatty acids could be used in its quality control. Aims: To develop a simple and robust gas chromatography with a flame ionization detector (GC-FID) method that is suitable for routine analysis of four major fatty acids extracted shark liver oil. Methods: Four major fatty acid content in shark liver oil pool of species Ginglimostoma cirratun, Carcharhinus longimanus, and Carcharhinus falciformis, was analyzed through the gas chromatography with a GC-FID. The fatty acids were analyzed as methyl esters derivatives, using 5% aqueous sulfuric acid in methanol. The method was validated in terms of linearity, precision, accuracy, specificity and limit of detection and quantitation. Results: Under the optimum analytical conditions, the analysis revealed that each target component was well separated with satisfactory recoveries and reproducibility. The method linearity was found to be high with good determination coefficient values for all target components. The evaluation of the matrix effect, demonstrated, that there is not interference from substances other than analysis. The method was also found to be accurate, precise and reproducible and it was applied to the quantitative determination of the fatty acid content in shark liver oil pool; oleic acid was the most abundant fatty acid (22.69%), followed by palmitic (18.85%), stearic (6.01 %) and myristic acid (0.40 %). Conclusions: The GC-FID developed method is reliable and suitable for determination of four major fatty acids in shark liver oil pool.
Analisis Promotion Mix Terhadap Pemasaran Layanan Kontruksi Pada PT Khafi Multi Perkasa
Authors: Nugraha Muhammad Agung , Sudiarti Sri
Published: September 2022

This study aims to determine the results of the analysis of the promotion mix on the marketing of goods and services as well as the forms of construction services that exist at PT. Khafi Multi Mighty. The type of method in this research is a qualitative type with a descriptive approach that is directed to be explained in greater detail about the actual situation that occurs in the field. This study also conducted direct interviews addressed to the Director of the company PT. Khafi Multi Mighty. This study shows the results that the promotion mix has not been implemented by employees so that it does not have a significant effect on service marketing, this is evidenced by their marketing method which only uses three components contained in the promotion mix. So that the services offered have not yet reached the desired point of satisfaction because the marketing system that is being implemented is not perfect.

Keywords: Service Quality, Promotion Mix
Organizational culture and performance. The case of Google
Authors: Dimitrakaki Ioanna
Published: September 2022

Organizational culture, as a social science concept, has been studied in a range of disciplines from social anthropology to organizational psychology. Corporate culture is used as a concept to denote a more commercialized approach to organizational culture. In recent years there has been a significant emphasis on the concept of organizational culture, as a critical component of day-to-day organizational functioning, and there has been a strong realization that the performance of organizations depends to a large extent on the culture they have developed within them. This is also a very difficult point for any modern manager. Culture can be understood as the invisible side of an iceberg, occupying the most important volume of the structure. The visible part at the level of organizations, can concern what is perceived daily, such as behaviors, final judgments, etc. Managers must successfully manage the invisible—the invisible attitudes and perceptions of employees, departments, and the ways in which they all intertwine and ultimately affect performance. In the same context, individual performance is a vital factor for organizations. When employees begin to underperform, managers try to address it before it affects the entire department, organization, etc. Often, individual performance is attempted to be resolved, without considering the culture, or the root cause of the problem. Often managers may not realize that they are not individual therapists—since culture is beyond them, what they can do is ensure that an employee can meet the demands of the existing culture. At the same time, they must successfully manage the fluid, ever-changing external environment (which demands the ensuring of the satisfaction of increasingly heterogeneous interest groups). The purpose of the work is to investigate job satisfaction, organizational culture and the subjective well-being of employees. The purpose of this paper is to investigate the effect that the organizational culture of a company has on the selection and evaluation of personnel, while its objectives are to investigate the selection criteria of candidates based on the culture of the company and the degree to which the corporate culture affects the attitude of the executives to integrate the employees into the culture of the company. The present paper dealt with the above demands, utilizing the culture of the Google Company as a case study. In this way, an attempt was made to derive useful conclusions and suggestions for Greek organizations.
Normality Tests and its Power against Alternative Distributions: An Empirical Analysis on Emerging Asian Stock Index Returns.
Authors: SHAIK MUNEER
Published: September 2022

In this paper, we investigate the power of various normality tests against alternative distributions using Monte Carlo simulation experiments. We use seven different normality tests classified as moments tests, correlation and regression tests, and empirical distribution functional tests against six symmetric and four asymmetric alternative distributions. We also perform the rank analysis for the power of the normality tests. Furthermore, we conduct an empirical analysis of five emerging Asian stock indices (India, Indonesia, Malaysia, Singapore, and Taiwan) to understand whether the returns follow a normal distribution or not during the period from January 2000 to January 2020. We find that emerging Asian stock index returns do not follow normal distribution irrespective of the different frequencies of the data.
Análise de técnicas de aprendizado de máquina em dados de eletroencefalograma com uso de PCA
Authors: Schoffen Mateus , Adamatti Diana Francisca
Published: September 2022

Este trabalho tem um cunho interdisciplinar, abordando as áreas da Neurociência e Aprendizado de Máquina e tem como objetivo analisar técnicas de Aprendizado de Máquina aplicadas em dados coletados através de eletroencefalograma. Foram utilizadas técnicas de mineração de dados que são capazes de fazer o processamento de grandes quantidades de dados, facilitando a obtenção das informações desejadas. Para realizar o trabalho foi utilizado uma base de dados existente ao qual foi executado o pré-processamento e aplicação da técnica de PCA (Principal Analysis Component) nos dados. Os resultados mostram que a acurácia não melhora de forma significativa, mesmo executando as técnicas com 5 ou 30 componentes principais.
Um Estudo sobre Arquiteturas e Metadados em Data Lakes
Authors: Rodrigues Jéssica Xafranski , Mello Ronaldo dos Santos
Published: September 2022

A grande quantidade de dados hoje gerada pela Internet e por organizações requer novas abordagens de gerenciamento desses dados. Data lakes são repositórios de dados volumosos e têm sido uma alternativa para gerenciar dados e metadados heterogêneos. Este trabalho apresenta um estudo sobre arquiteturas e abordagens para gerenciamento de metadados no contexto de sistemas de gerência de data lake.
Detecção de Similaridade entre Modelos Entidade Relacionamento para fins educacionais
Authors: Fernandes Pedro Leonel T. , Mergen Sergio L. S.
Published: September 2022

Esse artigo propõe um detector de similaridade entre modelos conceituais do tipo Entidade-Relacionamento (ER). A abordagem de detecção é otimista, ou seja, ela busca maximizar a similaridade entre duas entidades quando for identificada a possibilidade de que elas possuam alguma correspondência. Os experimentos mostram como essa abordagem pode ser útil em ambientes educacionais, seja para a detecção de plágio ou para a correção de tarefas de modelagem.
Efficient Gaussian sampling for RLWE-based cryptography through a fast Fourier transform
Authors: Barbado Júnior Márcio
Published: September 2022

Quantum computing threatens classical cryptography, leading to the search for stronger alternatives. The cryptographic approach based on lattices is considered as a viable option. Schemes with that approach use Gaussian sampling, a design which brings along two concerns: efficiency and information leakage. This work adresses those concerns in the RLWE formulation, for digital signatures. Efficiency mitigation uses the central limit theorem, and the Walsh–Hadamard transform, whereas the information leakage risk is reduced via isochronous implementation. Up to 223 samples are queried, and the results are compared against those of a cumulative distribution table sampler. Statistical metrics show the suitability of the presented sampler in a number of contexts.
Evaluation of modular multiplication techniques for Supersingular Isogeny Schemes on ARMv8 cores
Authors: Matsumine Vitor Satoru Machi , Rodrigues Félix Carvalho , Gazzoni Filho Décio , Teixeira Caio , López Julio , Dahab Ricardo
Published: September 2022

This paper focuses on the evaluation of different modular multiplication implementation techniques on 64-bit ARMv8 systems for the third-round NIST alternate candidate SIKE. The benchmarks were performed on four devices: an Orange Pi WinPlus featuring the Cortex-A53 processor, an NVIDIA Jetson Nano with a Cortex-A57, a Raspberry Pi 4 with a Cortex-A72 and a Macbook Air based on an Apple M1 chip. Throughout these platforms we observed that the two-level Karatsuba Comba method performs better on most Cortex-A processors but the Operand Scanning method presented a performance improvement ranging from 10% to 43% for the multiplication procedure and a 7% to 25% improvement for the modular reduction on the Apple M1 for all SIKE security levels, resulting in an overall improvement ranging from 8% to 28% for the SIKE KEM operations on this architecture.
Avaliação de Ferramentas de AutoML em Datasets de Detecção de Malwares Android
Authors: Siqueira Guilherme , Kreutz Diego , Assolin Joner , Costa Estevão , Miers Charles , Mansilha Rodrigo , Pontes Jonas , Feitosa Eduardo
Published: September 2022

O desenvolvimento de modelos preditivos corretos e eficazes requer um conhecimento técnico e do domínio do problema, o que muitas vezes não ocorre na prática, levando a soluções enviesadas e pouco eficazes. Ferramentas de AutoML surgiram com o propósito automatizar as etapas que envolvem o treinamento de modelos de machine learning. Neste contexto, trazemos uma avaliação de desempenho de quatro ferramentas de AutoML (Auto-Sklearn, AutoGluon, TPOT, QuickAutoML) na geração de classificadores de aplicações Android, considerando três métricas: acurácia, revocação e tempo de execução. Utilizamos sete datasets distintos para demonstrar a variação de desempenho entre as ferramentas.
Um Guia Tecnológico de Recomendações para o desenvolvimento de aplicações para mulheres vulneráveis
Authors: Diogo Carla B. , Santos Viviane A. dos
Published: September 2022

Com a pandemia causada pelo vírus Covid-19 diversos problemas sociais surgiram e também se agravaram pelo mundo, prejudicando principalmente muitas mulheres de classes sociais vulneráveis. Este trabalho apresenta um Guia Tecnológico voltado a desenvolvedores(as) de aplicações para mulheres, tendo em vista a contribuir para a educação digital das mesmas nas diversas tecnologias existentes, e assim contribuir para que o protagonismo feminino digital possa amenizar os impactos sofridos com a pandemia, e que consequentemente já estavam na sociedade há bastante tempo.
Iniciativas de popularização da Segurança da Informação: Um survey
Authors: Rocha Helter C. , Klein Erick S. , Rimes Leonardo S. , Lazarin Nilson M.
Published: September 2022

Este artigo contém uma análise sobre o nível de popularização das iniciativas, para a educação digital e segurança da informação na Internet. São elas: CERT.BR, ICANN e SEGURANET, através do estudo das plataformas e meios de divulgação destas iniciativas, visando realizar uma comparação através do levantamento do tráfego de seus respectivos sites, redes sociais, serviços desenvolvidos. É também tratada a missão de cada iniciativa e como realizam seu financiamento.
Correlação entre Indicadores Socioeconômicos e a COVID-19: uma revisão sistemática da literatura
Authors: Souza Lucelia Lima , Borchartt Tiago Bonini
Published: September 2022

A pandemia da COVID-19, causada pelo novo coronavírus (SARS-CoV-2), iniciou-se em dezembro de 2019 na China, colocando a saúde da população mundial em grande alerta. Este artigo objetiva apresentar uma Revisão Sistemática da Literatura que análise a correlação entre indicadores socioeconômicos e a pandemia da COVID-19 através de técnicas de aprendizagem de máquina, identificando quais técnicas e software de análise de dados foram utilizados. Foram identificados os estudos mais relevantes publicados no período de 2018 a 2022, que abordam o tema proposto. Após a triagem completa a pesquisa destacou 10 artigos selecionados no total de 814 analisados.
An Ontology-Based Information System approach to Infer Penal Implication for Fake News
Authors: Silva Bruno Souza da , Rodrigues Cleyton Mário de Oliveira , Silva Frederico
Published: September 2022

Com o avanço da comunicação, a informação tornou-se um recurso manipulável, a liberdade e o anonimato dão uma sensação de segurança aos compartilhadores de fake news, trazendo problemas em diversas áreas sociais. O Brasil não possui uma lei específica para esse problema, mas é possível tipificar fake news em crimes já definidos. Sistemas de Informação que ajudem a identificar Fake News, mas sobretudo consigam evidenciar crimes, podem ajudar a travar a proliferação destas mensagens. Este artigo explora os recursos de utilização de ontologias conceituais para representar fake news e leis por meio de recursos lógico-matemáticos para auxiliar na descoberta de potenciais crimes por fake news.
The possible use of circRNAs as useful diagnostic, prognostic and therapeutic biomarkers in osteoporosis
Authors: Aurilia Cinzia , Palmini Gaia , Donati Simone , Miglietta Francesca , Falsetti Irene , Iantomasi Teresa , Brandi Maria Luisa
Published: September 2022

Bone health is ensured by coordinated work between osteoclasts and osteoblasts. When this balance is lacking, skeletal diseases, including osteoporosis (OP), arise. The latter is caused by an increase in erosion and a decrease in bone matrix deposition, resulting in low-quality bone that tends to have a higher risk of fracture. To date, despite the use of sophisticated software to diagnose OP, and the use of several drugs to mitigate the effects of this pathology, there are still limitations that drive the scientific community to search for new biomarkers. In recent years, epigenetics has attracted the attention of many researchers as a possible mechanism involved in the onset and progression of OP. In particular they have focused on circular RNAs (circRNAs), a particular class of non-coding RNAs. Precisely because of their properties, these molecules could open up new possibilities in the field of precision medicine. In conclusion, therefore, the aim of this review is to offer an overview on circRNAs, which could potentially become, in the future, useful diagnostic, prognostic and therapeutic biomarkers in OP routine clinical practice.
Nature in God, Nature of God. Kant, Fichte and Schelling
Authors: Kravitz Amit
Published: September 2022

Abstract. This essay focuses on the systematic role that the concept of “nature in God” plays in Kant’s philosophy, and on the way Fichte and Schelling have drawn on this concept in their respective philosophies. Having expounded Kant’s argument regarding “nature in God” and established Fichte’s and Schelling’s point of congruence, I argue that Schelling’s criticism of Fichte discloses an inherent inconsistency in the latter’s position. I ground my explanation on the difference between the claim that Fichte’s concept of nature is “dead” – mistakenly ascribed to Schelling – and Schelling’s genuine claim, according to which Fichte’s concept of nature is “not even dead”. In the last section I concisely explain why this controversy between Fichte and Schelling is intertwined with Kant’s concept of Ding an sich.
Human Factors in the Decision to Evacuate the Costa Concordia and Similar Maritime Incidents
Authors: Emond Bryan Raymond
Published: September 2022

The time-honored principle that “a ship is its own best lifeboat” is a foundation of large passenger ship design and operation. Given the significant risks inherent in the evacuation process, reducing the likelihood that a ship will have to do so because of an emergency is clearly desirable. However, incidents occur which can or will result in the loss of the ship and evacuation is unavoidable. Delays in the evacuation process can have a catastrophic effect on the outcome, usually in terms of human lives. The foundering of the Costa Concordia after grounding and holing five watertight compartments is an illustrative example of this. It has been widely observed that had the ship not fortuitously drifted towards land before capsizing, the loss of life would likely have been significantly higher. The decision regarding whether to begin evacuation was not made until over an hour after the ship struck bottom, which complicated evacuation and rescue efforts. The first question considered in this paper is, based upon the information available to the master, was this delay in deciding to evacuate extreme or typical of such incidents. The second question to be considered is what factors drive a vessel master’s decision whether and when to initiate evacuation. Factors regarding the severity of the incident make evacuation either more or less urgent and affect the time available for a decision. Other factors provide alternative solutions or deter the prospect for a successful evacuation, which can delay or preclude a decision. The third question considered is what length of decision delay in starting preparations for evacuation is necessary or expected.
Selection of Hull Structural Material
Authors: Daidola John C.
Published: September 2022

The author has previously investigated production of hull structure in steel, aluminum and titanium with application to a large, fast naval sealift trimaran and monohull. Reduced lightship weight, of which hull structure is generally the most significant component, will accommodate a greater payload or allow for a smaller vessel for the same purpose. The results of those studies are applied herein to a wide range of commercial vessels with hull material of steel, aluminum, titanium as well as FRP and ferro-cement. Consideration is given to identifying the most advantageous hull material. The variables considered are years of service, payload, fuel consumption, maintenance, vessel size and cost. The results are presented on the basis of a measure of merit as a function of these characteristics.
A Predictive Analytics Method for the Avoidance of Ship Grounding in Real Operational Conditions
Authors: Taimuri Ghalib , Zhang Mingyang , Hirdaris Spyros
Published: September 2022

This paper presents a rapid method for the evaluation of ship grounding risk and the estimation of avoidance action in real operational conditions. The approach makes use of big data analytics from Automatic Identification System (AIS), nowcast and General Bathymetric Chart of the Oceans (GEBCO) to generate potential grounding scenarios. Following the identification of potential grounding scenarios, a Fluid Structure Interaction (FSI) model is adopted to simulate grounding avoidance actions that account for the influence of surrounding water and ship controlling devices in 6- DoF. Application for the case of a passenger ship operating under ice free conditions in the Gulf of Finland demonstrates the potential of the method for the development of improved decision support systems and operational practices.
Hydrodynamics of Semi-Submersible Hull Model at Variable Submergences and Froude Numbers
Authors: Matveev Konstantin I. , Sung Li P.
Published: September 2022

Semi-submersible vehicles have low-profile platforms above the water surface while keeping most of their hulls below waterline. In addition to reduced detectability, these craft may potentially have good seaworthiness and hydrodynamic advantage at fast displacement speeds. In this study, exploratory tow tank tests and computational fluid dynamics simulations were carried out with a Suboff model in configurations relevant to semi-submersible vehicles. At different speeds, the optimal drag-lift ratio is found to occur at different submergences, whereas the downward suction force monotonically increases with increasing speed and decreases with increasing draft. The lift center exhibits non-monotonic behavior at variable speeds. Computational simulation results demonstrated good agreement with experimental data and provided insight on contributions of pressure and friction drag components and flow features around hulls. The presented data can be useful for developers of semi-submersible vehicles.
Laser Shock Peening to Improve Performance of Metallic Ship Components
Authors: Medve Robert , Georgiadis Daniel , Rice David , Bovid Stan , Lahrman David
Published: September 2022

Hepburn and Sons LLC teamed with LSP Technologies Inc. has introduced Laser Shock Peening (LSP) to the U.S. Navy and its public and private shipyards over the last seven years. Through multiple Navy sponsored programs, our team has measured the many benefits of using LSP in the maritime industry including mitigating stress corrosion cracking, increasing fatigue life, arresting crack initiation and growth, reducing cavitation erosion and exfoliation corrosion, and enabling the ability to form complex geometries while minimizing heat. As a result of this research, the Navy has approved LSP to be used onboard multiple Navy ships in 2022.
Application of a Digital Twin for Proactive Production Planning
Authors: Schäfer Niklas Cedric , Burggräf Peter , Adlon Tobias
Published: September 2022

This paper presents the underlying method of a proposed digital twin for proactive production planning. We derived the method based on a requirements analysis considering the challenges in maritime production. Using real-time production feedback data, alternative production scenarios are identified to prevent disruptions and delays in manufacturing and assembly. As part of the ProProS research project, the method is implemented and validated through the development of the digital twin, which offers a platform for the realization of further use cases to be diffused into industrial applications.
Development of a Quantity Determination Method of Blasting off Conditions
Authors: Shinoda Takeshi , Tanaka Takashi , Morimitsu Kenta
Published: September 2022

The International Maritime Organization (IMO) has developed a performance standard for protective coatings (PSPC). Despite the fact that the regulation has been in existence for about 10 years, many shipyards continue to receive claims while inspecting the quality of each process in the coating stage. In particular, claims relating to the blasting off procedure are breaking the following coating process. In this study, we established a quantity determination method for measuring the blasting off condition of pre-coated steel plate for PSPC during the coating stage of ship production and reflect on the method for creating a prototype portable measurement instrument.
RMS Lusitania - A Design History and Forensic Analysis of Her Sinking
Authors: Garzke William H. , Smith Kenneth M.
Published: September 2022

This paper represents a final report of the review of evidence from wreck site of the RMS Lusitania based on material compiled by the late Gregg Bemis, owner of the wreck. It also discusses new evidence from the cargo manifest of Lusitania that was classified for almost 100 years as well as survivor’s accounts from several different sources and the results from previous expeditions to the wreck site. In this forensics analysis several considerations will be made from the study of the documents, testimony, and wreckage:

1. The conclusions will be consistent with witnesses and survivors during the sinkage of this ship

2. The probable cause will be consistent with the normal laws of physics

3. The cause reported is what actually happened, to a reasonable degree of engineering certainty.
Development of a Segmented Model for a Medium-Sized Semi-Displacement Vessel
Authors: Ibrahim Ahmed Mohamed , Morabito Michael Gorts , Beaver William
Published: September 2022

Segmented models are useful in estimating wave induced loads, particularly for new designs where experience in design loads estimate has not matured yet. Combined with numerical simulation, both methods complement each other and can provide a relatively good estimate of design hydrodynamic loads. This paper discusses efforts at the United States Naval Academy Hydromechanics Laboratory (NAHL) to design, construct and test a 6-foot segmented model of a medium-sized semi-displacement vessel. The vessel is instrumented with a backspline beam, representing the structural stiffness characteristics of the full-scale ship. Model instrumentation is presented including strain gauges placed on the beam as well as local pressure sensors and state of the art Fiber Bragg Grating (FBG) strain and pressure sensors.
High-Speed Craft Model Design, Data Acquisition and Environment Monitoring for Free-Running Tests
Authors: Wang Xinguo , Sallam Omar , Moulton David , Richardson Jared , Sunderland Rory , McKeig Benjamin , Furth Mirjam
Published: September 2022

The majority of experimental research conducted on the hydrodynamics of High-Speed Crafts (HSC) has been done in towing tanks. This presents a couple of issues; towing facilities are expensive, and the ideal conditions of the tank create a disparity between experiment and open water performance. Free-running models tested in open water can overcome some of these limitations. This paper presents the detailed design of a free-running model for open water experimental application. The model development includes hull construction, design and integration of a propulsion & steering system, data acquisition system (DAQ) design and testing, as well as environmental monitoring methods.
Software-Enabled Set-Based Ship Concept Design
Authors: Vallowe Andrew E. , Maatta Ryan , Matz John
Published: September 2022

The preliminary design phase of a ship acquisition program offers an overwhelming number of possible design configurations of which only a small number can be thoroughly developed by an experienced design team. This creates serious program risks, particularly when designing a ship that is fundamentally different from prior ships, such as an unmanned vessel. Set-based design offers a solution to this problem by separating functional disciplines into discrete sets that can be efficiently analyzed in parallel with one another. However, this process is still typically performed by teams of subject matter experts (SMEs) who are expensive to utilize and are potentially biased by past experiences or conventional thought patterns. The Serco Maritime Engineering Operations team has developed a new suite of software tools which attempts to improve upon a set-based design process by automating the generation of design points within each functional set. This software may be utilized in the first stage of any ship design program to provide the design team a high-level overview of the available design space by generating a large quantity of design seeds which can then be used as starting points for SMEs to develop ship concepts using conventional means for detailed trade studies and exploration.
In-service Effects on Mechanical and Fracture Properties of Steel from the Arctic Drilling Unit Kulluk
Authors: Elruby Ahmed Youssri , Oldford Dan , Quinton Bruce W. T.
Published: September 2022

This study presents selected data from an extensive testing program on steel taken from the Kulluk that was carried out to characterize the present-day mechanical properties. The program investigated the tensile and failure behaviours as well as the fracture energies and ductile-to-brittle transition temperature of steel from two hull locations. These locations were selected based on the following criteria: exposure to seawater and temperature fluctuations, experience of high ice loads, level of plastic deformation, and steel grades. The two selected pieces were made of EH II and DHN grades. The initial results showed that the steels still meet the design requirements as per the ABS rules.
Close Towing Merchant Vessels – Important Tool for Effective Winter Navigation
Authors: Orädd Helena , Toivola Jarkko , Heinonen Teemu , Salminen Jukka
Published: September 2022

The winter navigation system in the Northern Baltic Sea is globally one of the largest regional arrangements to ensure year-round maritime transports in a sea area challenged by ice every year. Thousands of assistance operations, including hundreds of tows, are dependent on the regions’ relatively small amount of icebreakers’ capability to perform assistances in a safe and efficient manner. For the winter navigation system to work efficiently, high assistance speeds are necessary to release icebreakers from their previous assistance task to their next one.
Multi-Mission Icebreaker Ship Design Factors Influencing Ice Maneuverability
Authors: Castillo Jordan Alexander , Raj Anil , Karri Krishna , Reimer Nils , Mardiros Martin , Minett Jason , Bohl Stephen
Published: September 2022

The United States Coast Guard (USCG) is currently in the detail design phase of the PC2, multi-mission Polar Security Cutter (PSC). This paper discusses ship design factors influencing ice maneuverability considering knowledge gleaned and challenges faced throughout the PSC design process. Capability to perform maneuvers in ice are a function of many design factors which may directly or indirectly influence one another and are integral to the design spiral. Initial designation of design features which strongly affect ice maneuverability begins with a thorough understanding of the Icebreaker’s intended operations, environmental considerations, and design drivers (such as performance areas/requirements) influencing ice maneuverability. The hull form and propulsion system are the most important design features in regard to ice maneuvering capability. Early trade-off analyses and model testing give insight into various design drivers that characterize multi-mission Icebreakers (in contrast to classic Icebreaker designs). Maneuvers of interest include turning in level ice, channel breakouts, and star turns. In operation, ice maneuverability is important to free beset vessels, avoid cumbersome ice formations, and dock at piers. Channel width and edge profile generated by the Icebreaker as well as model testing conservativeness are noteworthy factors to consider for their impact on ice maneuvering.
Fear and Anxiety of COVID-19, Stress and Health Perception. A Predictive Model in Ecuadorian Hospital Patients
Authors: Sánchez-Vélez Hernán , Moreta-Herrera Rodrigo
Published: September 2022

Objective: To develop a predictive model of mental health based on fear and anxiety of COVID-19 and perceived stress in a sample of primary care patients in Ecuador. Method: A correlational, comparative and predictive study applying Anxiety to Coronavirus, Fear of Covid-19, Perceived Stress and General Health scales, and SEM as a data analysis technique. Participants: 460 primary care hospital patients (38.9% men and 61.1% women) from Ambato and Quito cities, between 18 and 79 years old (M = 36 years; SD = 14.48). Results: Data suggest the presence of moderate levels of fear of COVID-19 and stress and low levels of anxiety to COVID-19. The most prevalent symptoms are somatization and anxiety-insomnia. The relationship of fear and anxiety to COVID-19 and perceived stress with mental health discomfort is confirmed. Fear and anxiety about COVID-19 predict perceived stress and this, in turn, predicts mental health with a 41.2% of explained variance. Conclusion: Fear and anxiety about COVID-19 are predictors of stress, and stress is a predictor of psychological symptoms and mental health discomfort in Ecuadorian primary care patients.

Objetivo: Establecer un modelo predictor de la salud mental a partir del miedo y la ansiedad al COVID-19 y el estrés percibido en pacientes de atención primaria del Ecuador. Método: El trabajo corresponde a un estudio correlacional, comparativo y predictor por medio de las escalas de Ansiedad al Coronavirus, Miedo al COVID-19, Estrés Percibido y Salud general. Participantes: 460 pacientes hospitalarios de atención primaria (38.9% hombres y 61.1% mujeres) de las ciudades de Ambato y Quito. Con edades entre 18 a 79 años (M = 36 años; DE = 14.48). Resultados: Existen niveles moderados de miedo al COVID-19 y estrés y bajos de ansiedad al COVID-19. Los síntomas que más prevalecen son los de somatización y ansiedad-insomnio. Se confirma la relación del miedo y la ansiedad al COVID-19 y el estrés percibido con el malestar en salud mental. El miedo y la ansiedad al Covid-19 predicen el estrés percibido y este a su vez la salud mental con el 54% de explicación de los cambios de la varianza. Conclusión: El miedo y la ansiedad al COVID-19 son predictores del estrés y el estrés es un predictor de los síntomas psicológicos y de malestar en la salud mental en muestra ecuatoriana.
Electromagnetic Performance of Waveguide Polarizers with Sizes Obtained by Single-Mode Technique and by Trust Region Optimization
Authors: Piltyay S. , Bulashenko A. , Kalinichenko Y. , Bulashenko O.
Published: September 2022

Modern wireless networks, stationary terrestrial and satellite systems use many modern technologies to increase communication channels information capacity. They save limited frequency resources. In satellite communications the polarization signal processing is applied to reuse the allocated frequency bands. Usage of circularly polarized electromagnetic waves, which transmit useful signals, reduces fading effects and eliminates disadvantages introduced by multipath propagation interferences. In this case the distortion levels for signals with an odd number of electromagnetic waves reflections in the receiving antenna systems will be reduced down to the thresholds of their cross-polarization isolation. Besides, in the case of orthogonal polarizations usage, the achieved information capacity of the applied wireless communication channel multiples almost by the factor of two. The type of polarization of the used electromagnetic wave strongly determinates the peculiarities of the process of its propagation in the space or transmission line. Polarization signal processing is frequently carried out in horn feed systems of the reflector antennas. Such feed networks and systems allow to transmit and receive signals with several kinds of polarization at the same time. The fundamental element of dual circular polarization antenna feed networks is a waveguide polarization duplexer. The phase, isolation and matching characteristics of a polarization converter strongly influence on the functionality and polarization discrimination possibilities of the entire reflector antenna system. Therefore, the development and optimization of the characteristics of waveguide polarizers for satellite communication antennas is a crucial technical problem, which must be solved by fast and accurate methods. The comparison of electromagnetic performance of waveguide polarizers with sizes obtained using a fast single-mode technique and by more accurate trust region optimization method is carried out in this research. The results for differential phase shift, level of voltage standing wave ratio, ellipticity coefficient and cross-polarization discrimination are shown and discussed.
S-Swin Transformer: simplified Swin Transformer model for offline handwritten Chinese character recognition
Authors: Dan Yongping , Zhu Zongnan , Jin Weishou , Li Zhuo
Published: September 2022

The Transformer shows good prospects in computer vision. However, the Swin Transformer model has the disadvantage of a large number of parameters and high computational effort. To effectively solve these problems of the model, a simplified Swin Transformer (S-Swin Transformer) model was proposed in this article for handwritten Chinese character recognition. The model simplifies the initial four hierarchical stages into three hierarchical stages. In addition, the new model increases the size of the window in the window attention; the number of patches in the window is larger; and the perceptual field of the window is increased. As the network model deepens, the size of patches becomes larger, and the perceived range of each patch increases. Meanwhile, the purpose of shifting the window’s attention is to enhance the information interaction between the window and the window. Experimental results show that the verification accuracy improves slightly as the window becomes larger. The best validation accuracy of the simplified Swin Transformer model on the dataset reached 95.70%. The number of parameters is only 8.69 million, and FLOPs are 2.90G, which greatly reduces the number of parameters and computation of the model and proves the correctness and validity of the proposed model.
Hepatic metabolite responses to 4-day complete fasting and subsequent refeeding in rats
Authors: Sui Xiukun , Wang Hailong , Wu Feng , Yang Chao , Zhang Hongyu , Xu Zihan , Guo Yaxiu , Guo ZhiFeng , Xin Bingmu , Ma Ting , Li Yinghui , Dai Zhongquan
Published: September 2022

Background

Fasting has been widely used to improve various metabolic diseases in humans. Adaptive fasting is necessary for metabolic adaptation during prolonged fasting, which could overcome the great advantages of short-term fasting. The liver is the main organ responsible for energy metabolism and metabolic homeostasis. To date, we lack literature that describes the physiologically relevant adaptations of the liver during prolonged fasting and refeeding. For that reason, this study aims to evaluate the response of the liver of Sprague-Dawley (SD) rats to prolonged fasting and refeeding.

Methods

Sixty-six male SD rats were divided into the fasting groups, which were fasted for 0, 4, 8, 12, 24, 48, 72, or 96 h, and the refeeding groups, which were refed for 1, 3, or 6 days after 96 h of fasting. Serum glucose, TG, FFA, β-hydroxybutyrate, insulin, glucagon, leptin, adiponectin and FGF21 levels were assessed. The glucose content, PEPCK activity, TG concentration and FFA content were measured in liver tissue, and the expression of genes involved in gluconeogenesis (PEPCK and G6Pase), ketogenesis (PPARα, CPT-1a and HMGCS2) and the protein expression of nutrient-sensing signaling molecules (AMPK, mTOR and SIRT1) were determined by RT-qPCR and western blotting, respectively.

Results

Fasting significantly decreased the body weight, which was totally recovered to baseline after 3 days of refeeding. A 4-day fast triggered an energy metabolic substrate shift from glucose to ketones and caused serum hormone changes and changes in the protein expression levels of nutrient-sensing signaling molecules. Glycogenolysis served as the primary fuel source during the first 24 h of fasting, while gluconeogenesis supplied the most glucose thereafter. Serum FFA concentrations increased significantly with 48 h of fasting. Serum FFAs partly caused high serum β-hydroxybutyrate levels, which became an important energy source with the prolongation of the fasting duration. One day of refeeding quickly reversed the energy substrate switch. Nutrient-sensing signaling molecules (AMPK and SIRT1 but not mTOR signaling) were highly expressed at the beginning of fasting (in the first 4 h). Serum insulin and leptin decreased with fasting initiation, and serum glucagon increased, but adiponectin and FGF21 showed no significant changes. Herein, we depicted in detail the timing of the metabolic response and adaptation of the liver to a 4-day water-only fast and subsequent refeeding in rats, which provides helpful support for the design of safe prolonged and intermittent fasting regimens.