bluuebunny/crossref_metadata_2025 huggingface dataset:
Aplicação do planejamento de curto prazo: estudo de caso em um canteiro de obras
Authors: Bergamo Bruna , Catai Rodrigo Eduardo
Published: December 2023

De acordo com estatísticas do IBGE de 2021, a construção civil representa uma fração importante da economia brasileira. Apesar do crescimento, o setor permanece estagnado em termos de gestão de recursos, como mão de obra e materiais, resultando em elevados índices de desperdícios, desvios de cronograma e custo dos empreendimentos. Com foco nessa questão, esta pesquisa foi realizada em um canteiro de obras no ano de 2022, tendo como objetivo geral determinar a relação existente entre os indicadores do planejamento de curto prazo e as melhorias do desempenho e produtividade no canteiro de obras. Para a obtenção de dados, foi selecionado um canteiro de obras na cidade de Curitiba, o qual aplica ferramentas do Last Planner, que engloba o planejamento de curto prazo. Na obra analisada foi feito um diagnóstico semanal do andamento físico em relação ao planejado, por meio da aplicação e avaliação de indicadores. Através dos indicadores foi possível constatar que o empreendimento apresentava atraso na finalização das atividades planejadas, que tinha como causa a falta de comprometimento da mão de obra. Assim pôde-se concluir que a aplicação do planejamento de curto prazo contribui para a obtenção de informações que auxiliam no ganho do cronograma de obras.
Perception, access, and use of electronic resources for instructional practices among education lecturers in public universities in Niger State, Nigeria
Authors: Yaki Akawo Angwal , Saka Katamba Abubakar , Sarki Mathew Alheri Angela
Published: December 2023

Electronic resources are an indispensable tool for meaningful instructional engagement and academic practice. Therefore, educators at all levels of education especially in the university must leverage it to engage in research and create a classroom environment that is motivating, engaging, and personalised to meet the needs of the present generation of learners who are digital natives. The perception, accessibility, and use of these e-learning resources could impact university lecturers’ academic and instructional practices. Therefore, this study investigated the perception, accessibility, and usage of electronic resources for instructional practices among education lecturers in public universities in Niger State, Nigeria. Descriptive survey was adopted for this study. All education lecturers in the three public universities in Niger State form the population of the study and 102 university education lecturers were selected as the sample size using simple random sampling. Three research questions guided the study. The data were collected using structured questionnaire on university education lecturers’ perception, accessibility, and use of e-resources for instructional practices. The instrument was validated by experts in the field of education and psychometrics, thereafter, the instrument was pilot-tested, and using Cronbach Alpha, the instrument yielded a reliability coefficient of between 0.70, 0.76, and 0.72. The data were analyzed using mean, standard deviation. The findings showed that education lecturers have positive perception of e-resources for instructional practices. However, there was low level of accessibility of e-resources among education lecturers in the three public universities in Niger State. The results also indicated high level of use of e-resources among lecturers. It was recommended conducive environment should be provided and more e-resources are made available, while regular workshop and training the organized for lecturers for academic and instructional practices respectively.
Electronic learning system (ELS) usability and academic engagement of undergraduates in public universities in Lagos State, Nigeria
Authors: Owolabi Ruth Onajite , Ogunfowokan Oluwatobi
Published: December 2023

The study investigated the influence of electronic learning system usability on academic engagement of undergraduates in public universities in Lagos State, Nigeria. Survey research design was adopted to determine the influence of digital literacy skills on academic engagement of these undergraduates. Study population was derived from 65,427 undergraduates in two long-existing public universities in Lagos State, Nigeria. A sample size of 381 respondents was determined through Krejcie Morgan sampling formula while the stratified sampling technique was used to select each respondent from the universities in study. The researcher developed a selfstructured questionnaire and administered 30 copies as pre-test at Lagos State University of Science and Technology. Construct validity and ethical consent was sought at Babcock University. The response rate of the questionnaire was 91.34%. Study’s findings revealed that the extent of ELS usability was high and ELS usability has a positive significant influence on academic engagement. The study recommended that undergraduates should be equipped with more digital facilities to encourage the sustenance of its usability already in existence among undergraduates.
Research competency of postgraduate students of public universities in Lagos State, Nigeria
Authors: Adeyeye Sophia Vivian , Ayodele Musbau Olajire
Published: December 2023

This study explored the research competency of postgraduate students of public universities in Lagos State, Nigeria. This study adopted descriptive survey research. The population of this study was made up of 9,804 postgraduate students of Lagos State University (4,833) and University of Lagos (4,971). Sample size was derived with the use of Krejcie and Morgan (1970) to arrive at three hundred and seventy (370) students for the study. With the Decision rule of 1.00 – 1.49= very low, 1.50 – 2.49= low, 2.50 – 3.49 = high, 3.50-4.00= very high. A structured questionnaire was used to collect data from the respondents. Data were analysed with frequency counts, percentages and mean. The finding of the study revealed weighted mean of 3.24 for content competency, methodological skills 3.32, evaluation and operationalization of research 3.28 and 3.45 for ethical practices among postgraduate students. The grand mean for research competency is 3.32 which indicate that the level of research competency among postgraduate students of universities in Lagos State, Nigeria is above average. The study recommends that university libraries and faculties should regularly organize workshops and seminars for postgraduate students to enhance their research competency.
Challenges of Post-Covid-19 Pandemic in Providing Information Services in Public Libraries in Anambra State
Authors: Emetarom Aduba Doris , Oluchi Oguonu Clara
Published: December 2023

This study investigated the challenges of the post-COVID-19 pandemic on public libraries providing information services in Anambra State. The study was guided by two research questions. This study adopted a descriptive research design. The population of the study are the librarians in public libraries in Anambra State. According to the Anambra State Library Board, there are 91 librarians in the public libraries. No sampling technique was used for the study since the entire population was small and manageable. Thus, the sample size of the study is 91 librarians. A self-structured questionnaire was used for data collection. The questionnaire was entitled: ―Questionnaire of Challenges of Post-COVID-19 Provision of Information Services (QCPCOVIDPIS)‖. The questionnaire was structured on a four-point scale with 17 items. The questionnaire was validated by two research experts at Nnamdi Azikiwe University, Awka. The instrument was subjected to test rest. The study used 10 librarians in public libraries in Enugu for the test of reliability and the Cronbach Alpha coefficient was used to determine the reliability of the instrument. At the end of the exercise, the study obtained a Cronbach Alpha coefficient of 0.89 and was considered reliable for the study. The researcher personally went to the libraries to collect and administer the questionnaire and retrieved it on the spot and 100% of the questionnaire was returned. The data obtained from the copies of the questionnaire were analyzed with mean and standard deviation. Mean scores of 2.50 above were considered ―Agree‖ while mean scores below 2.50 were considered ―Disagree‖. The study found that inadequate funding post-COVID- 19 affects the delivery of library information services because most public libraries across various states in the country suffer from neglect, displaying deteriorated structures and limited interest from successive governments. The study recommended that government should try as much to fund public libraries to enable libraries to sustain the provision of information services to the users. Government and library management should always work in synergy to make a budget for libraries that can help in the provision of infrastructural facilities.
Project Governance and the Incidence of Building Abandonment: A Comparative Study on Construction Works in Bayelsa and Delta States
Authors: Seiyaibo Madawa Carl , Okoye Emmanuel Ikechukwu
Published: December 2023

Project Governance and the Incidence of Building Abandonment: A Comparative Study on Construction Works in Bayelsa and Delta States
Effect of Project Leadership Styles on Organizational Performance
Authors: Uwguanyi Wilfred , Ndekile Chigozie Paul
Published: December 2023

The present study investigated the impact of different project leadership styles on the overall performance of Setraco Nigeria Limited. The research employed a descriptive survey methodology to analyse primary data. A sample of 77 respondents were drawn from a population of 120 staff of the organization. The independent factors are strategic leadership style and variable leadership style, while the dependent variable is organizational performance. The data collected were subjected to coding and analysis employing descriptive statistics, Pearson’s correlation, and a multiple regression model. The findings of the study indicated that both the strategic and transformational leadership styles exhibited statistically significant P-values. This implied that the leadership style employed in project management had a noteworthy influence on the performance of employees at Setraco Nigeria Limited. Based on this outcome, the study recommended that the process of selecting managers for organisations, departments, or production units should prioritise individuals who possess leadership qualities or have received training to become competent leaders.
The Importance of KRAS Quantification for a Clinicopathological Characterization in Colorectal Cancer Patients
Authors: Bratei Alexandru Adrian , Stefan-van Staden Raluca-Ioana
Published: December 2023

KRAS, a protein whose name stands for Kirsten rat sarcoma, is of practice important nowadays due to its implications in tumorigenesis and metastatic potential. In this paper, the levels of KRAS in colorectal cancer patients have been determined by using a stochastic method and the results have been searched for correlation with clinicopathological features. Patients with their clinical and pathological features were selected from the database of the project GRAPHSENSGASTROINTES, and used accordingly with the Ethics committee approval nr. 32647/2018 awarded by the County Emergency Hospital from Targu-Mures. There have been analysed 4 kinds of samples (whole blood, saliva, urine and tissue) by using a stochastic method with stochastic microsensors as screening tools. The results, consisting in levels of KRAS in all the four biological fluids (whole blood, saliva, urine and tissue), have been correlated with a large series of pathological features such as tumor location among the colon, the tumor dimensions and infiltration depth, gross appearance, budding, stroma features and blood vessels, lymphatic vessels and perineural invasion. By using KRAS levels in all the four biological fluids, the correlations with clinicopathological features can be extremely useful for the oncologist and the surgeon for a better management of patients. These results are not only extremely valuable, but they can also be obtained in just a couple hours, with a low cost and high accuracy.
 
Received: 21 August 2023 | Revised: 18 September 2023 | Accepted: 3 November 2023
 
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
 
Data Availability Statement
The data that support this work are available upon reasonable request to the corresponding author.
Immunoglobulin deposits in Erythema Nodosum Leprosum (ENL) JOSEPHINE ANTHON
Authors: ANTHONY JOSEPHINE , VAIDYA M. C. , DASGUPTA A.
Published: December 2023

Erythema Nodosum Leprosum (ENL) skin lesions observed by fluorescence microscopy were found to contain immune complexes. While biopsies taken from at least seven ENL lesions contained deposits of immunoglobulin in their vessel walls, twelve of the lesions contained such deposits in the perivascular cell infiltrate. However, immunoglobulin deposits were observed in the dermis of all 25 ENL lesions studied. On the basis of localization of these fluorescent deposits the 25 skin lesions were classified under groups I to III and were correlated with the onset of the reaction. Control biopsies taken from the lepromatous leprosy patients without ENL were uniformly negative for immunoglobulin deposits.
Um instrumento para investigação da sensibilidade térmica da pele
Authors: CASTRO INÁLIO MARTINS DE
Published: December 2023

O autor, no ex-Instituto de Leprologia, sob os auspícios da OMS, planejou e desenvolveu um método instrumental para Jnvestigaçtio da sensibilidade térmica da pele. Alcançado satisfatoriamente o objetivo, o autor sugere sua aplicabilidade nos ambulatórios de dermatologia, e, sobretudo de hansenologia, considerando a segurança, precisão suficiente, simplicidade e rapidez operacional.
Limitamos ao Brasil a luta contra o leprostigma
Authors: Rotberg Abrahão
Published: December 2023

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Review on Oral Insulin for Diabetics Mellitus
Authors: Achal A. Kale  , Bilal Sufi  , Chandrashekhar M. Deotale  , Vaibhav R. Urade
Published: December 2023

Oral insulin is one of the most exciting areas of diabetes therapy, due to the potential benefits of patient convenience, liver rapid insulination, appropriate insulin delivery to avoid hyperinsulin hypertension in the peripheral region, and the potential to avoid the harmful effects of weight gain and low blood sugar. Evidence is growing that early intensive insulin therapy leads to sustainable and tight blood glucose control and leads to serious complications, making effective oral insulin products even more important for the treatment of diabetic patients. Despite the knowledge of this medical need, insulin injections have failed due to several obstacles. For decades, researchers have tried to develop oral insulin with various technologies, but have not succeeded in clinical and commercial studies. The review summarizes the development status of oral insulin and indicates that it is under clinical trial
Multimodal Analysis of Google Bard: Experiments in Visual Reasoning
Authors: Noever David , Noever Samantha Elizabeth Miller
Published: December 2023

Addressing the gap in understanding visual comprehension in Large Language Models (LLMs), we designed a challenge-response study, subjecting Google Bard to 64 visual tasks, spanning categories like "Visual Situational Reasoning" and "Next Scene Prediction." Previous models, such as GPT4, leaned heavily on optical character recognition tools like Tesseract, whereas Bard, akin to Google Lens and Visual API, employs deep learning techniques for visual text recognition. However, our findings spotlight Bard's limitations: while proficient in solving visual CAPTCHAs that stump ChatGPT, it falters in recreating visual elements like ASCII art or analyzing Tic Tac Toe grids, suggesting an over-reliance on educated visual guesses. The prediction problem based on visual inputs appears particularly challenging with no commonsense guesses for next scene forecasting based on current “next- token” multimodal models. This study provides experimental insights into the current capacities and areas for improvement in multimodal LLMs.
A Smart Fishing Rod and Software using Flex Sensor, Vibration Sensor and Bluetooth
Authors: Wang Yanbo , Sahagun Jonathan
Published: December 2023

Fishing rod vibration sensors represent an innovative tool in the realm of angling technology, designed to revolutionize the fishing experience [1]. These sensors leverage piezoelectric technology to detect subtle vibrations in the fishing rod, alerting anglers to fish bites in realtime. This abstract explores the key features and applications of these sensors. These sensors are adept at distinguishing between external disturbances and genuine fish bites, reducing the likelihood of false alarms [2]. Their sensitivity and detection range can be calibrated, optimizing their performance for diverse fishing scenarios. By enhancing the angler's ability to detect bites promptly, fishing rod vibration sensors significantly improve catch rates and the overall fishing experience. They are particularly valuable for novice and experienced anglers alike, facilitating a deeper connection with the sport. As technology continues to advance, fishing rod vibration sensors offer a seamless blend of tradition and innovation, ensuring that the age-old practice of angling remains as thrilling and rewarding as ever.
ChatGPT for Generating Questions and Assessments based on Accreditations
Authors: A Aboalela Rania
Published: December 2023

This research aims to take advantage of artificial intelligence techniques in producing students’ assessment that is compatible with the different academic accreditations of the same program. The possibility of using ChatGPT technology was studied to produce an academic accreditation-compliant test NCAAA and ABET. A novel method was introduced to map the verbs used to create the questions introduced in the tests. The method allows a possibility of using the ChatGPT technology to produce and check the validity of questions that measure educational outcomes. A questionnaire was distributed to ensure that the use of ChatGPT to create exam questions is acceptable by the faculty members, as well as to ask about the acceptance of assistance in validating questions submitted by faculty members and amending them in accordance with academic accreditations. The questionnaire was distributed to faculty members of different majors in the Kingdom of Saudi Arabias’ universities. 120 responses obtained with 85% approval percentage for generate complete exam questions by ChatGPT. Whereas 98% was the approval percentage for editing and improving already existed questions.
A Hierarchical Vision Approach for Enhanced Medical Diagnostics of Lung Tuberculosis using Swin Transformer
Authors: Hamza Syed Amir , Jesser Alexander
Published: December 2023

Lung tuberculosis remains a significant global health concern, and accurate detection of the disease from chest X-ray images is essential for early diagnosis and treatment. The primary objective is to introduce a cutting-edge approach utilizing the Swin Transformer, designed to aid physicians in making more precise diagnostic decisions in a time-efficient manner. Additionally, the focus is to reduce the cost of the testing process by expediting the detection process. The Swin Transformer is a state-of-the-art vision transformer that employs a hierarchical feature representation and shifted window mechanism to enhance image understanding. We employ the NIH Chest X-ray dataset, which consists of 1,557 images labeled as not having tuberculosis and 3,498 images depicting the disease. The dataset is randomly split into training, validation, and testing sets using a 64%, 16%, and 20% ratio, respectively. Our methodology involves preprocessing the images using random resized crop, horizontal flip, and normalization before converting them into tensors. The Swin Transformer model is trained for 50 epochs with a batch size of 8, using the Adam optimizer and a learning rate of 1e-5. We monitor the model's accuracy and loss during training and calculate the F1-score, precision, and recall to evaluate its performance. The results of our study reveal a peak training dataset accuracy of 0.88 at the 43rd epoch, while the validation dataset achieves its highest accuracy of 0.88 after 20 epochs. The testing phase yields a precision of 0.7928 and 0.9008, recall of 0.7749 and 0.9099, and F1-score of 0.7837 and 0.905 for the "Negative" and "Positive" classes, respectively. The Swin Transformer exhibits encouraging performance, and we anticipate that this architecture will be easily adaptable and possess considerable potential for enhancing the speed and efficiency of diagnostic decisions made by physicians in the future.
The AI Transformation Risk Model: Solutions where Benefits Outweigh Risks
Authors: Fulton Richard , Fulton Diane , Haynes Nate , Kaplan Susan
Published: December 2023

This paper summarizes the most cogent and recently-cited advantages and risks associated with Artificial Intelligence from an in-depth review of the literature. Then the authors synthesize the salient risk-related models currently being used in AI, technology andbusiness-related scenarios. Lastly,in view of the most pressing issues and updated context of AI along with theories and models reviewed, the writers proposea new framework called “The AI Transformation Risk Model”to address the increasing fears and levels of risk. Using the model characteristics as a backdrop, the article emphasizes innovative solutions where benefits outweigh risks.
An Analysis and Research of Growth Factors of Internet Celebrity Boba Milk Tea Stores using Machine Learning and Artificial Intelligence
Authors: Xie Fuyi , Luo Zihao
Published: December 2023

The boba milk tea industry has emerged as a dynamic and competitive sector within the broader landscape of the food and beverage industry [1]. Characterized by its unique combination of tea, milk, and chewy tapioca pearls, boba milk tea has garnered a dedicated following of enthusiasts. To secure and expand their presence in this market, boba milk tea stores aspire to achieve the status of internet celebrities, attracting a widespread and loyal customer base [2]. This research paper delves into the intricate realm of boba milk tea store growth factors using Machine Learning and Artificial Intelligence [3]. The study is motivated by the recognition that the industry's success depends on understanding and harnessing a diverse array of factors, including customer sentiment, store location attributes, and effective marketing strategies [4]. Our methodology entails data collection and preprocessing from a variety of sources, encompassing customer reviews, sales records, geospatial data, and marketing data [5]. Through rigorous feature engineering and the application of advanced Machine Learning algorithms, including sentiment analysis, geospatial analysis, and personalized marketing models, we aim to uncover the key determinants of boba milk tea store success. The results of our research offer actionable insights for both existing and aspiring boba milk tea store owners. Customer sentiment analysis reveals that customer reviews play a critical role in influencing store performance. Store location attributes, explored through geospatial analysis, indicate that proximity to target demographics, competitors, and high-traffic areas significantly impacts growth [6]. Furthermore, the effective deployment of personalized marketing strategies using Machine Learning techniques has been shown to enhance customer engagement and drive growth. While our research provides valuable insights, it is essential to acknowledge certain limitations, such as data availability and the complexity of Machine Learning models. However, we are confident that this research contributes to the broader understanding of growth factors in the boba milk tea industry and can inspire further studies and practical applications. As businesses in the boba milk tea industry navigate a landscape shaped by evolving consumer preferences, this research underscores the transformative potential of Machine Learning and Artificial Intelligence in achieving and maintaining internet celebrity status. Beyond its immediate application, the study provides a blueprint for leveraging technology, data, and industry expertise to thrive in the competitive landscape of modern retail.
Do You Speak Basquenglish? Assessing Low-Resource Multilingual Proficiency of Pretrained Language Models
Authors: Parra Iñigo
Published: December 2023

Multilingual language models’ have democratized access to information and artificial intelligence (AI). Still, low-resource languages (LRL) remain underrepresented. This study compares the performance of GPT-4, LlaMa (7B), and PaLM 2 when asked to reproduce English-Basque code-switched outputs. The study uses code-switching as a test to argue for the multilingual capabilities of each model and compares and studies their cross-lingual understanding. All models were tested using 84 prompts (N = 252), with their responses subjected to qualitative and quantitative analysis. This study compares the naturalness of the outputs, code-switching competence (CSness), and the frequency of hallucinations. Results of pairwise comparisons show statistically significant differences in naturalness and the ability to produce grammatical code- switched output across models. This study underscores the critical role of linguistic representation in large language models (LLMs) and the necessity for improvement in handling LRLs.
An Empowering Mobile Aid Application to Help Visually Impaired People Navigate and Explore Places Around Them using Location Tracking and Text Detection
Authors: Zhang Yiyao , Zhang Anne Yunsheng , Sun Yu
Published: December 2023

In Section 1, we provide a comprehensive overview of the research findings concerning the challenges encountered by visually impaired individuals, which significantly impact their daily lives, and discussing potential solutions to address their needs. Section 2 delves into the obstacles we encountered during the development of our application, along with the strategies we implemented to overcome them. In Section 3, the functionality of our application is outlined, focusing on how it addresses the issues highlighted in Section 1. This section also details the specific systems within our app, including the sources and packages utilized in their development. Section 4 presents an in- depth analysis of potential blind spots in our application, supported by data and graphical interpretations. This section also discusses the precision and accuracy of our findings. Section 5 involves a comparative study of alternative solutions that address similar problems as our application , highlighting the distinct features and advantages of our approach. Finally, Section 6 summarizes the limitations of our current application and outlines planned enhancements to address these shortcomings in future updates, thereby improving the app's overall effectiveness.
DATA SCIENCE IN ENERGY CONSUMPTION ANALYSIS: A REVIEW OF AI TECHNIQUES IN IDENTIFYING PATTERNS AND EFFICIENCY OPPORTUNITIES
Authors: Nzubechukwu Chukwudum Ohalete  , Adebayo Olusegun Aderibigbe  , Emmanuel Chigozie Ani  , Peter Efosa Ohenhen  , Abiodun Akinoso
Published: December 2023

This review critically examines the role of Data Science and Artificial Intelligence (AI) techniques in energy consumption analysis, focusing on their efficacy in identifying patterns and uncovering efficiency opportunities. The primary objective is to assess how AI methodologies are transforming energy consumption analysis, with an emphasis on pattern recognition and optimization of energy efficiency. The study adopts a systematic literature review approach, scrutinizing peer-reviewed articles published between 2015 and 2022. This methodological framework ensures a comprehensive and relevant analysis of current AI applications in the energy sector. Key findings reveal a significant evolution from traditional energy analysis methods to sophisticated AI-driven techniques. AI has proven instrumental in accurately predicting energy consumption patterns, facilitating enhanced decision-making for energy management. The review identifies various AI techniques, including machine learning, deep learning, and predictive analytics, and their specific applications in energy consumption analysis. The study also delves into the technological, economic, and environmental implications of integrating AI in energy analysis, highlighting both the challenges and potential solutions. It underscores the growing trend of AI applications in enhancing energy efficiency and the emerging opportunities therein. This offers a comprehensive overview of current trends and future directions, serving as a guide for industry stakeholders, policymakers, and researchers in harnessing AI for more efficient and sustainable energy consumption analysis.

Keywords: Artificial Intelligence, Efficiency Optimization, Pattern Recognition, Energy Consumption Analysis.
RESILIENCE IN THE FACE OF UNCERTAINTY: A REVIEW ON THE IMPACT OF SUPPLY CHAIN VOLATILITY AMID ONGOING GEOPOLITICAL DISRUPTIONS
Authors: Bukola A. Odulaja  , Timothy Tolulope Oke  , Tobechukwu Eleogu  , Adekunle Abiola Abdul  , Henry Onyeka Daraojimba
Published: December 2023

This study delves into the intricate dynamics of supply chain resilience amidst the backdrop of ongoing geopolitical disruptions, offering a comprehensive analysis of how modern supply chains can adapt and thrive in an environment characterized by uncertainty and volatility. This review aims to thoroughly examine the impact of geopolitical disruptions on supply chain dynamics, define the essence of supply chain resilience, and explore the strategies that can fortify supply chains against such disruptions. Employing a meticulous literature review methodology, the study synthesizes findings from a range of recent, peer-reviewed sources. This approach facilitates a multi-dimensional understanding of supply chain volatility, drawing on historical perspectives, current trends, and forward-looking insights. The review methodically addresses the role of geopolitical disruptions, the components of resilient supply chains, and the effectiveness of various resilience strategies. The main findings reveal that supply chain resilience is a dynamic capability, heavily influenced by factors such as diversification of supply sources, technological innovation, and adaptive policy frameworks. The study highlights the necessity of a proactive, anticipatory approach to supply chain management, emphasizing agility and strategic foresight. Conclusively, the study underscores the imperative for supply chains to evolve continuously, integrating resilience into their core strategies. Recommendations include adopting a holistic approach to resilience, focusing on sustainability, and embracing technological advancements. This review contributes significantly to the discourse on supply chain management, offering valuable insights and practical guidance for navigating the complexities of global supply chains in an era marked by geopolitical uncertainty.

Keywords: Supply Chain Resilience, Geopolitical Disruptions, Supply Chain Management, Resilience Strategies, Technological Innovation, Global Supply Chains.
ANALISIS KINERJA PETUGAS TERMINAL INSPECTION SERVIVE (TIS) TERHADAP STANDAR OPERATIONAL PROCEDURE (SOP) DI TERMINAL BANDAR UDARA RAHADI OESMAN KETAPANG
Authors: Danang Indrawan  , Aditya Dewantari
Published: December 2023

The purpose of this study was to determine the monitoring system for Terminal Inspection Service (TIS) facilities at Rahadi Oesman Airport, Ketapang, to determine the performance of Terminal Inspection Service (TIS) officers against the Standard Operational Procedure (SOP) at Rahadi Oesman Airport, Ketapang.

            This research was conducted at Rahadi Oesman Airport Terminal Ketapang covering data obtained from company documents through interviews. The method used in this study uses qualitative methods and data analysis techniques as follows: Data reduction, data presentation, and data verification.

The facility supervision system at Rahadi Oesman Airport Ketapang is carried out routinely by Terminal inspection service (TIS) officers and the results of the report are submitted to the head of Rahadi Oesman Airport for policy making and follow-up. The performance of the Terminal Inspection Service (TIS) officers is in accordance with the Standard Operational Procedure (SOP) as evidenced by the suitability of the performance carried out and strengthened by the results of the officer's report.
Impacts of maritime shipping on air pollution along the US East Coast
Authors: Golbazi Maryam , Archer Cristina
Published: December 2023

Abstract. Air pollution is considered a leading threat to human health in the US and worldwide. An important source of air pollution in coastal areas is the globally increasing maritime shipping traffic. In this study, we take a high-resolution modeling approach to investigate the impacts of ship emissions on concentrations of various atmospheric pollutants, under the meteorological conditions and emissions of the year 2018. We utilize the Comprehensive Air Quality Model with extensions (CAMx) to simulate transport, diffusion, and chemical reactions and the Weather Research and Forecasting (WRF) model to provide the meteorological inputs. We focus on four criteria pollutants – fine particulate matter with a diameter smaller than 2.5 µm (PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3) – as well as nitrogen oxide (NO), and we calculate their concentrations in the presence and absence of ship emissions along the US East Coast, particularly in the proximity of major ports. We find that ship emissions increase the PM2.5 concentrations over the ocean and over a few areas inland. The 98th percentile of the 24 h average PM2.5 concentrations (the “design value” used by the US Environmental Protection Agency) increased by up to 3.2 µg m−3 in some coastal areas. In addition, ships contribute significantly to SO2 concentrations, up to 95 % over the Atlantic and up to 90 % over land in coastal states, which represents a ∼45 ppb increase in the SO2 design values in some states. The 98th percentile of the hourly NO2 concentrations also increased by up to 15 ppb at the major ports and along the shore. In addition, we find that the impact of shipping emissions on O3 concentrations is not uniform, meaning that ships affect ozone pollution in both positive and negative ways: over the ocean, O3 concentrations were significantly higher in the presence of ships, whereas O3 concentrations decreased in the presence of ships in major coastal cities. Our simulation results show that ships emit significant amounts of fresh NO in the atmosphere, which then helps scavenge O3 in volatile organic compound (VOC)-limited areas, such as major ports. By contrast, over the ocean (NOx-limited regime), enhanced NOx concentrations due to ships contribute to the formation of O3 and therefore enhance O3 concentrations. Overall, due to the dominant southwesterly wind direction in the region, the impacts of ships on air pollutants mainly remain offshore. However, in coastal states near major ports, the impacts are significantly important.
A one-dimensional urban flow model with an Eddy-diffusivity Mass-flux (EDMF) scheme and refined turbulent transport (MLUCM v3.0)
Authors: Lu Jiachen , Nazarian Negin , Hart Melissa , Krayenhoff Scott , Martilli Alberto
Published: December 2023

Abstract. In recent years, urban canopy models (UCMs) have been used as fully coupled components of mesoscale atmospheric models as well as offline tools to estimate temperature and surface fluxes using atmospheric forcings. Examples include multi-layer urban canopy models (MLUCMs), where the vertical variability of turbulent fluxes is calculated by solving prognostic momentum and turbulent kinetic energy (TKE, k) equations using length scale (l ) and drag parameterizations. These parameterizations are based on the well-established 1.5-order k − l  turbulence closure theory and are often informed by microscale fluid dynamics simulations. However, this approach can include simplifications such as the assumption of the same diffusion coefficient for momentum, TKE, and scalars. In addition, the dispersive stresses arising from spatially-averaged flow properties have been parameterized together with the turbulent fluxes while being controlled by different mechanisms. Both of these assumptions impact the quantification of turbulent exchange of flow properties and subsequent air temperature prediction in urban canopies. To assess these assumptions and improve corresponding parameterization, we conducted 49 large-eddy simulations (LES) for idealized urban arrays, encompassing variable building height distributions and a comprehensive range of urban densities (λp ∈ [0.0625,0.64]) seen in global cities. We find that the efficiency of turbulent transport (numerically described via diffusion coefficients) is similar for scalars and momentum but 3.5 times higher for TKE. Additionally, the parameterization of the dispersive momentum flux using the k − l  closure was a source of error, while scaling with the pressure gradient and urban morphological parameters appears more appropriate. In response to these findings, we propose two changes to MLUCM v2.0: (a) separate characterization for turbulent diffusion coefficient for momentum and TKE; and (b) introduction of an explicit physics-based "mass flux" term to represent the non-Gaussian component of the dispersive momentum transport as an amendment to the existing "eddy diffusivity" framework. The updated one-dimensional model, after being tuned for building height variability, is further compared against the original LES results and demonstrates improved performance in predicting vertical turbulent exchange in urban canopies.
Observations of the macrophysical properties of cumulus cloud fields over the tropical western Pacific and their connection to meteorological variables
Authors: De Vera Michie Vianca , Di Girolamo Larry , Zhao Guangyu , Rauber Robert , Nesbitt Stephen , McFarquhar Greg
Published: December 2023

Abstract. The poor representation of the macrophysical properties of shallow oceanic cumuli in climate models contributes to the large uncertainty in cloud feedback. These properties are also difficult to measure because it requires high-resolution satellite imagery that are seldomly collected over ocean. Here, we examine cumulus cloud macrophysical properties, their size, shape, and spatial distributions, over the tropical western Pacific using 170 15-m resolution scenes from Terra’s Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) collected during the 2019 Cloud, Aerosol and Monsoon Processes Philippines Experiment (CAMP2Ex) mission. The average cloud fraction (CF) was 0.12, half of which was contributed by clouds less than 1.6 km in area-equivalent diameter. This compared well to Terra’s Multiangle Imaging Spectroradiometer (MISR) resolution-corrected CF of 0.13, but less than the 0.19 measured by Terra’s Moderate Resolution Imaging Spectroradiometer (MODIS). The cloud size distribution exhibited a power law form with exponent of 2.93 and an area-perimeter power law with dimension of 1.24. ASTER, MISR, and CAMP2Ex aircraft lidar showed excellent agreement in the cloud top height (CTH) distribution peak altitude of ~750 m. We examined cumulus properties in relation to meteorological variables and found that the variation in mean CTH is most controlled by the total column water vapor, lower-tropospheric stability (LTS), and estimated inversion strength (EIS). The variation in CF is most controlled by surface wind speed and near-cloud relative humidity instead of LTS/EIS, suggesting the need to improve low cloud parameterizations in climate models that use LTS/EIS based on stratocumulus studies.
A year of transient tracers (chlorofluorocarbon 12 and sulfur hexafluoride), noble gases (helium and neon), and tritium in the Arctic Ocean from the MOSAiC expedition (2019–2020)
Authors: Heuzé Céline , Huhn Oliver , Walter Maren , Sukhikh Natalia , Karam Salar , Körtke Wiebke , Vredenborg Myriel , Bulsiewicz Klaus , Sültenfuß Jürgen , Fang Ying-Chih , Mertens Christian , Rabe Benjamin , Tippenhauer Sandra , Allerholt Jacob , He Hailun , Kuhlmey David , Kuznetsov Ivan , Mallet Maria
Published: December 2023

Abstract. Trace gases have demonstrated their strength for oceanographic studies, with applications ranging from the tracking of glacial meltwater plumes to estimates of the abyssal overturning duration. Yet measurements of such passive tracers in the ice-covered Arctic Ocean are sparse. We here present a unique data set of trace gases collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, during which R/V Polarstern drifted along with the Arctic sea ice from the Laptev Sea to Fram Strait, from October 2019 to September 2020. During the expedition, trace gases from anthropogenic origin (chlorofluorocarbon 12 (CFC-12), sulfur hexafluoride (SF6), and tritium) along with noble gases (helium and neon) and their isotopes were collected at a weekly or higher temporal resolution throughout the entire water column (and occasionally in the snow) from the ship and from the ice. We describe the sampling procedures along with their challenges, the analysis methods, and the data sets, and we present case studies in the central Arctic Ocean and Fram Strait to illustrate possible usage for the data along with their robustness. Combined with simultaneous hydrographic measurements, these trace gas data sets can be used for process studies and water mass tracing throughout the Arctic in subsequent analyses. The two data sets can be downloaded via PANGAEA: https://doi.org/10.1594/PANGAEA.961729 (Huhn et al., 2023a) and https://doi.org/10.1594/PANGAEA.961738 (Huhn et al., 2023b).
Brief communication: Testing a portable Bullard-type temperature lance confirms highly spatially heterogeneous sediment temperatures under shallow water bodies in the Arctic
Authors: Miesner Frederieke , Cable William Lambert , Overduin Pier Paul , Boike Julia
Published: December 2023

Abstract. The thermal regime in the sediment column below shallow water bodies in Arctic permafrost controls benthic habitats and permafrost stability. We present a robust, portable device that measures detailed temperature-depth-profiles of the near-surface sediments in less than 1 hour. Test campaigns in the Canadian Arctic and on Svalbard have demonstrated its utility in a range of environments during winter and summer. Measured temperatures were spatially heterogeneous, even within single water bodies. We observed the broadest temperature range in water less than 1 m deep, indicating that the bottom-fast ice zone is overlooked by single measurements in deeper water.
Zarys systematyki architektury neoromańskiej w budownictwie kościelnym Królestwa Polskiego
Authors: Majdowski Andrzej
Published: December 2023

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Średniowieczne zapiski w nekrologu klasztoru norbertanek na Zwierzyńcu
Authors: Rajman Jerzy
Published: December 2023

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TECHNICAL AND TACTICAL TRAINING
HIGHLY SKILLED GRECO-ROMAN STYLE WRESTLERS
Authors: HRABOVIK A. , RUDZENIK V. , ANTSIPIN N. , NIKIFOROV N. , NIKIFOROV A.
Published: December 2023

In the article, based on a theoretical model of technical and tactical training of athletes, the structure of the
training process for highly qualified Greco-Roman style wrestlers has been developed. The features of technical and
tactical training of athletes at the stages of training conditioned, deliberate, deliberate-impromptu and impromptu motor
actions have been established. Highly qualified athletes pay the main attention to improving tactical skills in choosing
ways to resolve motor situations at the stage of learning deliberate impromptu motor actions, as well as increasing the
level of motor potential necessary to perform the techniques used during fights with the required efficiency. Considerable
attention is paid to improving the skills of reflexive management of an opponent’s activities. General and specific
objectives of the training stages are identified, and means and methods for solving them are recommended. The developed
structure for training highly qualified Greco-Roman wrestlers was tested in the process of many years of author's sports
activities.
THEORETICAL AND METROLOGICAL JUSTIFICATION OF THE TEST
TO DETERMINE THE LEVEL OF FORMATION OF STUDENTS'
MOTOR THINKING
Authors: STARCHANKA U. , KURAKA A.
Published: December 2023

This article discusses one of the important tasks of physical education related to the formation of the foundations
of motor thinking of students. In the work, from the position of the information approach, a theoretical model of motor
thinking is presented as a system of neuro-semantic processing of information coming from the subject area and the
development of an adequate motor response to it.

The formation of motor thinking is impossible without the development of diagnostic tools to determine the level
of its formation. Based on the theoretical model of motor thinking, the authors developed a metrologically correct test to
determine the level of formation of students' motor thinking. The approbation of the test on thirty students of the Faculty
of Physical Culture showed its adequacy to the object of testing, acceptable reliability and logical adequacy
(informativeness) to the subject of testing. There was no statistically significant difference between the results of girls and
boys both in the test and in the retest

The test can be used to develop a methodology for forming the foundations of students' motor thinking.
THE METHOD FOR EVALUATING MOTIVES
OF TEACHER’S LEADERSHIP BEHAVIOR
Authors: NIKOLAEV A. , ANUFRYIENKA L.
Published: December 2023

This article reflects the process and results of developing a tool (a method) to measure leadership behavior. There
exists the dependence between the leadership behavior and motives for such a behavior; more precisely, the dependence
rests upon some separate groups of motives as well as upon the motivation in general. Given the fact that at schools,
teacher’s pedagogical activity includes leadership, the creation of such a methodology is very important, appropriate,
and necessary. The procedure for developing the method has included a set of traditional measures, namely, finding the
evidence of leadership motivation; selecting a questionnaire form; and standardizing the method by determining its
accuracy, reliability and validity.
“But first let’s have a dance”: Music in Aphra Behn’s Plays
Authors: Runge Laura L.
Published: December 2023

This quantitative analysis of Aphra Behn’s musical terms demonstrates that her comedies need to be understood in the context of seventeenth-century music. As a Restoration dramatist, Behn experienced the early phase of the Baroque. Despite the considerable presence of music in her works, scholarship on Behn and music has been neglected. Nodes of her preferred terms—dance, sing, song, and musick—are mapped and analyzed, focusing on four of the most musical plays: The Revenge (1680), The Roundheads (1682), The Luckey Chance (1687), and The Emperor of the Moon (1687). As a collaborator with professional musicians, dancing masters, and actors, Behn demonstrates facility with instrumentation and a range of musical affects, dance forms, and song types. Her comedies exemplify a theatrical phenomenon that had an intelligible, palpable, but ephemeral impact on characters and audience members alike. Her original comic musicals provide keys for understanding how music functioned in art and culture.