bluuebunny/crossref_metadata_2025 huggingface dataset:
Advancements in needle visualization enhancement and localization methods in ultrasound: a literature review
Authors: Kimbowa Alvin , Pieters Alex , Tadayon Parsa , Arora Ishi , Gulam Sabrina , Pinos Antonio , Liu David , Hacihaliloglu Ilker
Published: July 2024

Ultrasound guidance plays a central role in numerous minimally invasive procedures involving percutaneous needle insertion, ensuring safe and accurate needle placement. However, it encounters two primary challenges: (1) aligning the needle with the ultrasound beam and (2) visualizing the needle even when correctly aligned. In this review, we offer a concise overview of the physics foundation underlying these challenges and explore various approaches addressing specific challenges, with a focus on software-based solutions. We further distinguish between hardware-based and software-based solutions, placing a stronger emphasis on the latter. The incorporation of artificial intelligence into these methods to enhance needle visualization and localization is briefly discussed. We identify state-of-the-art needle detection methods, showcasing submillimeter precision in tip localization and orientation. Additionally, we provide insights into potential future directions, aiming to facilitate the translation of these advanced methods into the clinic. This article serves as a comprehensive guide, offering insights into challenges, evolving solutions, and prospective research directions to effectively address these issues.
Towards the optimal design of optically clear adhesives for flexible display
Authors: Park Youngjoo , Kim Junkyu , Kim Daewhan , Lee Seokju , Hwang Daihyun , Kwon Min Sang
Published: July 2024

As device form factors evolve towards increased complexity and flexibility, the role of adhesives within the display module stack becomes increasingly crucial. These adhesives are essential for bonding functional layers with minimal thickness while mitigating stress during the dynamic behavior of flexible devices. This paper offers a comprehensive overview of the essential properties of adhesives - such as adhesion, viscoelasticity, optical characteristics, and environmental reliability - necessary for the stable operation of flexible display devices across diverse form factors and environments. In particular, it provides an in-depth look at ongoing research in simulation, material selection, polymer network control, and the integration of new functionalities to achieve optimal performance. Furthermore, this paper discusses extensive research outcomes addressing the growing demand for sustainable solutions. Building on this knowledge, we highlight the future direction of adhesives for flexible displays.
Islamic and conventional stocks: Impact of Russia-Ukraine saga on global commodities
Authors: Agustin Isnaini Nuzula , Yulfiswandi Yulfiswandi , Rehman Saeeda , Ur Rahman Haseeb
Published: July 2024

Purpose – This study intends to scrutinize the relationship between oil and gold prices on Indonesia’s Islamic stock market before and during the war between Russia and Ukraine, and compare the nature of sharia and conventional stock during the period of study.Methodology – This study uses daily price data of oil price, gold, Islamic index, and LQ45 index. The period spans from 2020 to 2022, which is split into two sub-periods: pre-war and during the war period. Structural vector autoregression (SVAR) was used for data analysis.Findings – This study provided three main findings. First, the Islamic index was found to be more exogenous than conventional stock, implying the safe haven properties of Islamic stock. Second, oil prices have a negative and significant impact on both conventional and Islamic stocks. However, Islamic stocks are less affected by oil price shocks than conventional stocks. Lastly, Gold is a safe haven asset for both Islamic and conventional stocks.Implications – This study is expected to be beneficial for Islamic investors making investment decisions, particularly in the war period, which is still ongoing and more specific for taking advantage of diversification opportunities.Originality – Despite a huge number of studies that investigate the Islamic stock – oil price nexus, this study uncovers the impact of the most recent geopolitical tension during the Russia-Ukraine War.
Challenges of electric vehicle adoption in Indonesia: Revealing the hidden factors affecting purchase intention
Authors: Astuti Rifelly Dewi , Susanto Agung Arry
Published: July 2024

Purpose – Recently, electric vehicles (EVs) have seen significant development worldwide. Indonesia has responded by implementing various policies to support the adoption of EVs, which are touted as the future environmentally friendly transportation solution. However, in Indonesia, the purchase intention for EVs still needs to reach expectations, reaching only 14,93% of the target in 2023. This study analyzes the antecedents of benefit factors determining the intention to buy an electric vehicle. This study will fill the gap in earlier research by comprehensively examining the factors that influence EV purchase intention in Indonesia.Design/methodology/approach – This study will fill the gap in earlier research by comprehensively analyzing the factors that influence EV purchase intention in Indonesia. This study will empirically examine the relationship between perceived usefulness, perceived ease of use, perceived risk, EV knowledge, public involvement, and purchase intention, as well as the antecedents of perceived usefulness, perceived ease of use, and perceived risk. This study uses a quantitative method with a survey design to gain an in-depth understanding of the factors influencing the purchase intention of electric vehicles in Indonesia. The survey involved 957 potential electric vehicle users in Indonesia who have never bought an EV but have sufficient interest and knowledge about EVs. The research instrument was a validity and reliability-tested questionnaire used to collect accurate and consistent data.Findings – This study found that although respondents had strong perceptions of the benefits of electric vehicles (perceived usefulness), this did not automatically lead to high purchase intentions. Another surprising finding was that perceived risk also did not directly affect purchase intention. This suggests the presence of other factors inhibiting purchase intention, which need to be identified and addressed.Research limitations/implications – This research contributes significantly to the literature on adopting electric vehicles (EVs). Perceived ease of use has a positive effect on purchase intention. The results of this study indicate that perceived ease of use does not significantly affect the purchase intention of electric vehicles.Practical implications – The findings of this study provide several practical implications for electric vehicle manufacturers, marketers, and policy makers.Originality/value – This research offers a comprehensive approach to understanding the factors that influence electric vehicle (EV) purchasing interest in Indonesia, by including previously overlooked variables such as risk perception, public involvement, and knowledge about EVs. Additionally, this research focuses on the Indonesian context, providing valuable insights into the unique challenges and opportunities in EV adoption in the country, which can form the basis for strategies and policies to promote sustainable transportation.
Pelatihan Perhitungan Harga Pokok Produksi (HPP) dalam Menentukan Harga Jual Usaha Fried Chicken
Authors: Farida Farida , Wulandari Endang , Kartika Dewi Gita
Published: July 2024

UMKM berperan penting bagi perkembangan usaha dan kemajuan ekonomi nasional secara luas. Salah satu jenis UMKM yang banyak menjamur saat ini adalah usaha kuliner yang menyajikan menu ayam goreng atau lebih khusus lagi menu Fried chicken. Strategi penentuan harga produk atau harga jual tentunya menjadi salah satu yang bisa menjadi penentu pemenangan persaingan usaha yang saat ini banyak bermunculan bisnis sejenis kuliner ini. Haji Tan sebagai pemilik usaha fried chicken ingin mengetahui perhitungan dan penetapan Harga Pokok Produksi agar dapat meninjau ulang harga jual produknya yang telah ditetapkan untuk menyesuaikan dengan kondisi perekonomin masyarakat dan bangsa akibat kenaikan harga-harga kebutuhan pokok. Penentuan harga produk usaha Fried Chicken Haji Tan saat ini berdasarkan kesamaan dengan pesaing atau perkiraan semata. Dengan adanya pengabdian masyarakat ini bertujuan untuk menjelaskan bahwa ayam kentucky harus dijual berdasarkan perhitungan harga pokok produksi agar dapat merevisi harga jual produknya yang akan diterapkan di cabang-cabang usaha Haji Tan dan nantinya akan mendapatkan keuntungan yang stabil. Pengabdian ini melakukan kegiatan pelatihan dengan metode penyuluhan/sosialisasi dan praktek. Pelaksanaan kegiatan pelatihan telah berjalan dengan lancar dan baik sehingga dapat memberikan manfaat peningkatan pengetahuan dan keterampilan peserta. Saat ini, peserta telah bisa menyesuaikan dengan perhitungan harga pokok produksi (HPP) untuk penentuan harga jual. Mitra telah bisa menyusun harga pokok produksi dengan benar sehingga dapat memperkirakan keuntungan yang didapat dan menentukan target penjualan produknya.
Pelatihan pengendalian stunting pada remaja putri di desa sawangan melalui penanggulangan anemia dengan sistem informasi
Authors: Paradise Paradise , Prabowo Wahyu Adi , Utami Gladi Pawestri , Arifa Amalia Beladinna , Burhanuddin Aulia , Adhitama Rifki
Published: July 2024

Stunting dan anemia pada remaja putri menjadi permasalahan kesehatan utama di Indonesia, termasuk di Desa Sawangan, Kabupaten Banyumas. Tujuan penelitian ini adalah untuk mengimplementasikan strategi pencegahan stunting melalui penanggulangan anemia pada remaja putri di Desa Sawangan, serta meningkatkan kesadaran dan pengetahuan masyarakat tentang pentingnya pencegahan stunting dan anemia sejak dini. Metode yang digunakan adalah pendekatan partisipatif, melibatkan remaja putri dan petugas kesehatan setempat. Kegiatan ini meliputi sosialisasi dan pelatihan tentang pencegahan stunting dan anemia, penggunaan alat cek hemoglobin, dan pemberian Tablet Tambah Darah (TTD). Selain itu, sistem monitoring anemia berbasis teknologi informasi juga diimplementasikan untuk memantau kondisi hemoglobin remaja putri secara rutin dan terstruktur. Hasil dari kegiatan ini menunjukkan peningkatan kesadaran dan pengetahuan masyarakat tentang pentingnya pencegahan stunting dan anemia, serta peningkatan pemantauan dan penanganan kondisi ini. Selain itu, implementasi sistem monitoring anemia berbasis teknologi informasi telah memfasilitasi pemantauan kondisi hemoglobin remaja putri secara rutin dan terstruktur. Kontribusi dari penelitian ini adalah dalam upaya mencapai target Indonesia Bebas Stunting pada tahun 2030. Dengan implementasi strategi pencegahan stunting melalui penanggulangan anemia pada remaja putri, penelitian ini berkontribusi dalam meningkatkan kesehatan dan kesejahteraan masyarakat di Desa Sawangan, serta mendukung upaya pemerintah dalam mencapai tujuan tersebut.
A Semantic Segmentation of Nucleus and Cytoplasm in Pap-smear Images using Modified U-Net Architecture
Authors: Arhami Muhammad , Rudi F Fachri Yanuar , Hendrawaty Hendrawaty , Adriana Adriana
Published: July 2024

Pap-smear images can help early detection of cervical cancer, but the manual interpretation by a pathologist can be time-consuming and prone to human error. Semantic segmentation of the cell nucleus and cytoplasm plays an essential role in Pap smear image analysis for the detection of cervical cancer automatically. This study proposes a modified U-Net architecture by adding batch normalization to each convolution layer. Batch normalization aims to stabilize and accelerate the convergence of the model during training, thus overcoming the vanishing gradient problem. The modified U-Net model achieves high accuracy and low loss during the training process, indicating its ability to learn and recognize patterns in the data. The performance evaluation of the model resulted in 91.4 % accuracy, 79.9 % sensitivity, 87.7 % specificity, 81.7 % F1-score, and 83.7 % precision. The results show that the proposed modification of U-Net architecture with batch normalization improves the segmentation performance for cervical cancer cells in Pap smear images. However, improvement in architecture is still required to increase the ability to overcome overlapping areas between the nucleus, cytoplasm, and background.
Development of Xiaomi Product Mobile Forensic Acquisition Framework on Second Space Features Based on SNI/ISO 27037:2014
Authors: Fakhriansyah Amru Rizal , Luthfi Ahmad
Published: July 2024

Abstract — In conducting digital forensic activities, it must follow the rules of SOP procedures or frameworks as a reference. One of the acquisition frameworks used in digital forensics practice is ISO 27037:2014, which contains specific guidelines related to digital forensic investigation activities. On the other hand, mobile cellular is one of the branches of digital forensics that is always developing, but with the large variety of mobile devices today, ISO 27037: 2014 has not provided specific standards in the digital forensics process on mobile devices that have special features that are different from ordinary mobile devices. One of the special features provided by Xiaomi vendor developers that gives users access to cloning and creating new space in one mobile phone is called second space or second space. With this, it will be a problem for investigators when conducting forensic processes because the data acquisition process will produce 2 extraction results from one mobile device, but the SNI ISO 27037: 2014 standard has not regulated the validity of digital evidence obtained from these special features. This research will develop a framework in conducting the investigation process on Xiaomi mobile devices, because currently only Xiaomi mobile devices have a second room feature. By paying attention to the existing problems, this research will develop a framework in carrying out the acquisition process on xiaomi mobile devices on the special features of the second room based on SNI ISO 27037: 2014. It is hoped that this research can help investigators, especially DEFR (Digital Evidence First Responder) and can be a reference that can be used in the process of searching for electronic evidence that is in accordance with SNI ISO 27037: 2014 and can be accounted for in court.
A Generic Model of Traffic Monitoring and Vehicle Counting Systems Based on Edge Computing
Authors: Heryanto Hery , Hutagalung Maclaurin , Gamaliel Yoyok Yusman , Angela Dina , Pratama Dionisius , Martina Inge , Nugroho Tunggul Arief
Published: July 2024

One of the main issues in Indonesia is congestion. The number of vehicles continues to increase and is less balanced by the development of transportation infrastructure, especially landlines, causing more complex problems. The Indonesian government needs an intelligent application system that can provide knowledge to unravel congestion. The problem is how to perform edge computing to reduce latency so that the highway monitoring application system runs in real time. This research proposes a basic design for a vehicle monitoring application system that can accurately recognize vehicles, count the number of vehicles, and propose an edge computation that brings computation directly to the data source. The dataset is a video of traffic in Bandung, Jakarta, and several other major cities. The images in the dataset consist of 4,890 training images, 467 validation images, and 231 testing images. In the proposed model, the YOLOv5 and YOLOv7 architectures accurately detect and count vehicles. The test results show a mAP value of 99.1% with an IoU threshold of 50%. Other results include a precision value of 96.2% and a recall of 97.7%. The proposed model can accurately monitor vehicles and reduce latency with an edge computing approach.
Analisis Regresi Data Panel Dengan Model Efek Umum, Model Efek Tetap Dan Model Efek Acak (Studi Kasus: Inflasi Dan Indeks Pembangunan Manusia)
Authors: Ada Nuralyatussa’ , Herdiani Erna Tri , Sirajang Nasrah
Published: July 2024

Panel data regression analysis is a method for modeling the influence of independent variables on dependent variables, on a combination of cross-section and time-series data. This research aims to estimate a panel data regression model with a generalized effects model using the least squares method, estimate a fixed effects model with the Least Square Dummy Variable and estimate a random effects model with Generalized Least Square on inflation and human development index data. The results obtained show that the factors that have a significant influence at the 5% level on the inflation rate in 2014-2019 are the dollar exchange rate with a coefficient of determination of the general effects model of 61.06%, then the HDI level in South Sulawesi in 2011-2017 is significantly influenced by factors such as average length of schooling and life expectancy with a coefficient of determination of the fixed effects model of 89.73%, and the HDI level in South Sulawesi in 2016-2019 is significantly influenced by the factors of life expectancy, per capita expenditure and poverty with a coefficient of determination of the random effects model amounting to 63.07%.
Study on the Prototype of Platform Tools and Practice Related to the “Sustainability Scoring Index” for Disaster Resilience of Local Governments in Japan
Authors: Fujisawa Aoba , Ando Koko , Masuda Yukihiro , Fujita Hiroyuki , Araki Michio , Tanaka Kazuaki
Published: July 2024

With the intensification and rising frequency of disasters in recent years, implementing disaster preparedness measures has become increasingly important. However, local governments must be prepared for disasters, with their limited resources of personnel and budget, to make the redressal plans relevant for facing problems such as population decline. This study aims to enhance resilience in the field of disaster management by facilitating identification of problems in the disaster management plan of local governments, and promotion of mutual understanding among those involved. For this purpose, a tool has been developed to evaluate local disaster management measures from the viewpoints of both local governments and residents, and to promote smooth communication and coordination among the stakeholders. A questionnaire survey was conducted using an index for self-assessment by local government officials, which was formulated based on the literature of the United Nations Office for Disaster Risk Reduction. Based on the survey results, the elements of resilience were classified into three groups depicting the abilities to collaborate and organize, adapt to the environment, and manage for the next generation. The evaluation was conducted in four local governments. In two regions, the residents’ awareness and preparedness for a disaster were surveyed. The survey results revealed that the questionnaire should be improved; nevertheless, the authors were able to identify the problems of local governments and the fields that the residents do not know sufficiently about. The results indicate the possibility to apply this method in other regions in the future.
RESEARCH ON ERROR PROBABILITY ASSESSMENT IN USER PERSONAL DATA PROCESSING IN GDPR-COMPLIANT BUSINESS PROCESS MODELS
Authors: Kopp Andrii , Orlovskyi Dmytro , Kizilov Oleksii , Halatova Olha
Published: July 2024

The only right strategy for businesses and government organizations in Ukraine and other countries that may face aggression is to recognize themselves as a potential target for cyberattacks by the aggressor (both by its government agencies and related cybercriminal groups) and take appropriate measures in accordance with the European Union’s General Data Protection Regulation (GDPR). The main purpose of the GDPR is to regulate the rights to personal data protection and to protect EU citizens from data leaks and breaches of confidentiality, which is especially important in today’s digital world, where the processing and exchange of personal data are integral parts of almost every business process. Therefore, the GDPR encourages organizations to transform their day-to-day business processes that are involved in managing, storing, and sharing customers’ personal data during execution. Thus, business process models created in accordance with the GDPR regulations must be of high quality, just like any other business process models, and the probability of errors in them must be minimal. This is especially important with regard to the observance of human rights to personal data protection, since low-quality models can become sources of errors, which, in turn, can lead to a breach of confidentiality and data leakage of business process participants. This paper analyzes recent research and publications, proposes a method for analyzing business process models that ensure compliance with the GDPR regulations, and tests its performance based on the analysis of BPMN models of business processes for obtaining consent to data processing and withdrawal of consent to user data processing. As a result, the probability of errors in the considered business process models was obtained, which suggests the possibility of confidentiality violations and data leaks of the participants of the considered business processes associated with these errors, and appropriate recommendations were made.
DEVELOPMENT AND RESEARCH OF SOFTWARE SOLUTION FOR BUSINESS PROCESS MODEL CORRECTNESS ANALYSIS USING MACHINE LEARNING
Authors: Kopp Andrii , Orlovskyi Dmytro , Litvinova Uliya
Published: July 2024

Poorly designed business process models are a source of errors and the subsequent costs associated with these errors, such as monetary costs, lost time, or even some harmful impact on people or the environment if the erroneous business process models are associated with critical industries. The BPM (Business Process Management) lifecycle usually consists of designing, implementing, monitoring, and controlling the business process execution, but it lacks continuous quality control of the created BPMN (Business Process Model and Notation) models. Thus, this paper considers the problem of business process models classification based on their correctness, which solution will ensure quality control of the designed business process models. Thus, this study aims to improve the quality of business process models by developing a software solution for business process models classification based on their correctness. The subject of the study is the process of business process models classification based on their correctness, which uses quality measures and thresholds, usually, complexity measures. The subject of the study is a software solution for business process models classification based on their correctness. Therefore, in this study, the algorithm to solve the problem of BPMN models classification using logistic regression, interface complexity, and modularity measures is proposed, the software requirements are determined, the software development tools are selected, the software for business process models classification based on their correctness is designed, the corresponding software components are developed, the use of a software solution for solving the problem of business process models classification based on their correctness is demonstrated, the obtained results are analyzed and discussed. The developed software indicates high performance of BPMN models classification based on their correctness, achieving high accuracy (99.14 %), precision (99.88 %), recall (99.23 %), and F-score (99.56 %), highlighting the high performance of modeling errors detection.
TWO-LEVEL CONCEPT FOR SIMULATING UNIFORM INTERFERENCE-RESISTANT DIGITAL DATA TRANSMISSION
Authors: Sharov Vladyslav , Nikulina Olena
Published: July 2024

The article formalizes, creates and provides for consideration the concept of a single secure interference-resistant data transmission channel. In modern cybersecurity theory and practice, there is the NIST Cybersecurity Framework, which is a set of recommendations for reducing risks for organizations. In order for high-level data to be secure, there are requirements for the SIA triad, namely confidentiality, integrity and availability of information. Therefore, in the future, the expediency of the work and its result will directly depend on the satisfaction of the SIA conditions. As you know, high-level data: such as e-mail, visual data in the GUI of various applications, etc., are transmitted over low-level communication channels: such as cables, wireless radio communication channels, and others. At each of the levels for safe transmission of information, there are specific pests. At high levels, the main threat to information is man and the human factor. The lower the level of information transmission becomes, the more nature, natural obstacles and random short phenomena begin to influence. In order for the user to be able to use various devices without a threat to the confidentiality, integrity and availability of information, it is necessary to actively and continuously develop, improve and improve the existing methods of data protection, restoration, transmission and storage. Each aspect in this struggle for security is both an advantage and a disadvantage: excessive security is not appropriate for mass traffic, complexity does not always provide adequate security, and so on. Therefore, the optimality and expediency of the methods used becomes an important factor. For these reasons, the paper proposes a relatively simple, but no less effective approach to maintaining SIA requirements.
EXTERNALIZATION OF TACIT KNOWLEDGE IN THE MENTAL MODEL OF A USER OF AN ARTIFICIAL INTELLIGENCE SYSTEM
Authors: Chalyi Serhii , Leshchynska Irina
Published: July 2024

The subject of the study is the processes of forming the user's mental model in artificial intelligence systems. The construction of such a model is associated with solving the problem of opacity and incomprehensibility of the decision-making process in such systems for end users. To solve this problem, the system user needs to receive an explanation of the obtained decision. The explanation should take into account the user's perception of the decision and the decision-making process, which is formalized within the user's mental model. The mental model considers the user's use of explicit and implicit knowledge, the latter of which usually lacks formal representation. The externalization of such knowledge ensures its transformation into a formal form. The aim of the work is to develop an approach to the externalization of implicit knowledge based on identifying patterns and causal dependencies for the decision-making process in an intelligent system when constructing the user's mental model. To achieve this goal, the following tasks are solved: developing a user's mental model of an artificial intelligence system that takes into account both explicit and implicit knowledge and developing an approach to the externalization of implicit knowledge of the user of the artificial intelligence system. A user's mental model of an artificial intelligence system that accounts for both explicit and implicit knowledge of the user is proposed. The model considers the connections between the user's explicit and implicit knowledge regarding the artificial intelligence system, the decision-making process, the method of using the decisions, and the general concept of the intelligent system. This creates conditions for the externalization of the user's implicit knowledge and the subsequent use of this knowledge in forming explanations regarding the decision-making process in the artificial intelligence system. An approach to the externalization of knowledge from the statistical and semantic layers of the user's mental model is proposed. In practical terms, the approach makes it possible to translate into explicit form the conditions and constraints regarding the formation and use of decisions in the artificial intelligence system.
A Bicultural Community–Academic Partnership to Improve the Latina/o Physician Workforce in Washington State (2019–2021)
Authors: Angulo Antoinette , Jimenez Nathalia , Gomez Megan , Ramirez Magaly , Ludwig-Barron Natasha , Morales Leo S.
Published: July 2024

From July 2019 through April 2021, the Latino Center for Health, a bicultural population health research center at the University of Washington, partnered with community stakeholders to generate evidence to inform elected officials about the need to increase the diversity of the state’s physician workforce and ultimately improve Latina/o health in Washington state. Legislative efforts resulted in legislation creating goals for the state’s medical schools to admit students representative of the state’s population diversity and the creation of a new residency pathway for international medical graduates. ( Am J Public Health. 2024;114(S6):S467–S471. https://doi.org/10.2105/AJPH.2024.307627 )

[Formula: see text]
Health Care Discrimination and Immigration Fears: Unpacking COVID-19 Vaccine Hesitancy in Latino Adults
Authors: Haro-Ramos Alein Y. , Sanchez Gabriel R. , Barreto Matt A.
Published: July 2024

Objectives. To examine the relationship between health care discrimination and COVID-19 vaccine hesitancy attributed to fears of immigration status complications among unvaccinated Latino adults and to determine whether the association differs among immigrants and US-born individuals.

Methods. After universal adult eligibility for the COVID-19 vaccine, a nationally representative sample of 12 887 adults was surveyed using online and mobile random digit dialing from May 7 to June 7, 2021. The analytic sample (n = 881) comprised unvaccinated Latino adults. We examined the association between individual and cumulative health care discrimination measures and COVID-19 vaccine hesitancy assignable to immigration-related fears.

Results. Using a cumulative measure of health care discrimination, each additional experience corresponded to a 28% higher odds of reporting vaccine hesitancy Because of immigration-related fears. Findings were consistent across US-born and immigrant Latino adults. Four of the 5 discriminatory experiences were positively associated with vaccine hesitancy, including the absence of optimal treatment options, denial or delayed access to necessary health care, physician communication barriers, and lack of specialist referrals.

Conclusions. Findings confirm a positive association between health care discrimination and COVID-19 vaccine hesitancy attributable to immigration-related fears among Latino adults, regardless of immigration status. ( Am J Public Health. 2024;114(S6):S505–S509. https://doi.org/10.2105/AJPH.2024.307668 )

[Formula: see text]
Talents, Tears, Stories of Our Identities, and Community Building: Toward Community-Based Ecosystems of Latiné Health Driven by Promotores
Authors: LeBrón Alana M.W. , Montiel Gloria Itzel , Arpero Saraí , Jimenez Josefina , Torres Gina , Ortiz Hilda , Mejía Nancy , Bracho America
Published: July 2024

This essay describes a process for integrating US Latiné communities as drivers of a grassroots vision for healthy Latiné communities and health equity planning that addresses racial injustices. Transforming structural conditions to promote Latiné community health happens alongside creating conditions for community-level self-determination to foster community-based ecosystems of health.

Integrating a life course perspective, we describe a vision for community-based ecosystems of Latiné health that is rooted in forging connections and cultivating community; building community power to address structural drivers of health; leveraging the expertise and assets of promotores to reach, engage, and mobilize communities; scaling solutions through policy, system, and environment changes; and grounding research processes in community-driven priorities.

Such processes must affirm the expertise of promotores and Latiné communities and recognize the interconnectedness of communities and systems (e.g., food, housing, living wages) to nurture health at local levels. Research can advance the science and evidence-based models that support community-based ecosystems of Latiné health. ( Am J Public Health. 2024;114(S6):S525–S533. https://doi.org/10.2105/AJPH.2024.307763 )

[Formula: see text]
The Effect of Macroeconomic Variables on Stock Returns of The Jakarta Islamic Index: A Panel Vector Error Correction Model Approach
Authors: Budi Bagus Setiyo , Faizin Moh.
Published: July 2024

Introduction: This study was conducted because there were differences in stock return trends in JII during 2016-2018, where stock return movements simultaneously decreased, but different conditions occurred in 2019-2022, where trend returns experienced different conditions between companies. This was caused by the domino effect of the Covid-19 Pandemic, which resulted in changes in Indonesia's BI Rate and Inflation. Thus, this study aims to analyze the long and short-term effects of BI Rate and Inflation on changes in the return of company shares in JII. Research Methods: This study uses the Panel Vector Error Correction Model (VECM) method, secondary data in the form of a Panel of Stock Return of 4 companies, BI Rate and Inflation during 2016-2022. Results: The long and short-term results in the previous two and three-quarters of the BI Rate were significantly positive for stock returns. While in the long and short term, inflation was significantly negative for stock returns. Conclusion: The research found that the BI Rate does not always negatively affect return. When the BI Rate increases, it gives investors confidence that the value of their investment is protected from depreciation. This can create a positive environment for the stock market so that it has an impact on rising stock prices.
Performance Analysis of Islamic Banks Using Error Correction Model
Authors: Addury Multazam Mansyur , GH Nur Hishaly , Izzaturrahman Muh. Dzulfikar , Pangestu Dian Resky
Published: July 2024

Introduction: The analysis of Islamic banking performance is a frequent subject of discussion in various literature. One factor that makes Islamic banks an exciting object of research is their role as Sharia-based intermediary institutions and their contribution to the effectiveness of monetary policy. This study aims to analyze the impact of CAR, NPF, FDR, and BOPO on the performance of Islamic banks measured by ROA and NOM. Research Methods: This quantitative research uses secondary data from Islamic Banking Statistics covering the period from January 2015 to December 2023. The data analysis technique employed is the Error Correction Model (ECM). Results: The results indicate that out of the four variables examined, only BOPO has a significant impact on the performance of Islamic banks. Conclusion: This finding suggests that efficiency in managing operational costs is a crucial factor in enhancing the financial performance of Islamic banks. The lower the BOPO, indicating higher cost efficiency, the better the performance of Islamic banks in terms of profitability as measured by ROA and NOM.
Effectiveness of Financing in Supporting MSME Development at PT Pegadaian UPS Kwanyar
Authors: Firdaus Rifqi , Makhtum Ahmad
Published: July 2024

Introduction: This research aims to analyze the effectiveness of financing in supporting MSME development at PT Pegadaian UPS Kwanyar. Research Methods: This research uses a descriptive case study approach to describe the efficiency and challenges of KUR Syariah at PT Pegadaian UPS Kwanyar. Data was collected through direct observation and interviews with the company and the MSME players. The data was then analyzed qualitatively using descriptive analysis. Results: The results reveal that the KUR Syariah program at PT Pegadaian UPS Kwanyar effectively supports MSME capital by implementing strict procedures such as timeliness, accuracy of amount, accuracy of target, and accuracy of credit. MSMEs that use KUR Syariah report increased income and productivity, although they still face challenges such as product limitations, low user interest, a complicated application process, and a lack of direct promotion. Conclusion: Improvements in the application process and promotion are needed to increase the utilization of KUR Syariah by MSMEs in Bangkalan City.
Evaluating the Effect of Mudharabah and Murabahah Financing on Return on Assets Mediated by Non-Performing Financing at BMT Hasanah Ponorogo
Authors: Febriana Indri , Ulya Husna Ni’matul
Published: July 2024

Introduction: This study explores how mudharabah and murabahah financing affect Return on Asset (ROA) and the role of Non-Performing Financing (NPF) as an intervening variable at BMT Hasanah Ponorogo. Research Methods: This study employs regression analysis with NPF as an intervening variable. The data analyzed are the quarterly financial reports of BMT Hasanah Ponorogo from 2019 to 2023, focusing on the relationships between mudharabah financing, murabahah financing, ROA, and NPF. Results: The analysis reveals that mudharabah and murabahah financing significantly impact ROA directly and through NPF as an intervening variable. An increase in financing can enhance ROA, with NPF mediating the relationship between financing and ROA. Conclusion: This study finds that mudharabah and murabahah financing affect ROA, with NPF as an intervening variable. Effective risk management in financing is crucial for improving ROA at BMT Hasanah Ponorogo.
Evaluation of Fluid Distribution and Perforation Erosion in Multistage Fracture Treatment
Authors: Sakaida Shohei , Hamanaka Yasuyuki , Zhu Ding , Hill A. D. , Kerr Erich , Estrada Erick , Scofield Reid , Johnson Andrew
Published: July 2024

Fracture monitoring and diagnosis by fiber-optic sensing technology provides invaluable information about stimulation efficiency. This technology becomes more critical for multistage fracturing over long horizontal wells. The combined analysis of distributed temperature sensing (DTS) and distributed acoustic sensing (DAS) measurements has been used to map the fluid distribution during hydraulic fracturing, and fracture volume at the cluster level and at the stage level can be estimated from the analysis. In this paper, based on the interpretation of models for DTS and DAS, we extend the application to fluid containment and stage isolation evaluation.

In plug and perforation hydraulic fracturing, when a stage is finished pumping, the stage is isolated by a plug, and the next stage is perforated and then fractured. If the plug is not functioning correctly, fracture fluid enters the previous stage, causing an uneven fluid distribution, and possibly more severe perforation erosion. Both DAS and DTS monitoring can record this phenomenon when it happens. Interpretation models are built to quantify the fluid distribution with the effect of plug leakage included. From DTS measurements, cooling below the stage being completed is counted as the fluid from the current stage. Given this information, the reservoir thermal model can estimate the volume of leakage. From the DAS measurement, we interpret the volume distribution based on frequency band energy to compare with the DTS interpretation. Perforation erosion measurements from a downhole camera are used to confirm the estimation. With this approach, we assess the fluid distribution, plug performance, and the importance of stage isolation on perforation erosion during a multistage fracture treatment. The information can then be used to analyze and optimize completion and fracture treatment design.

Field examples are presented in the paper to support the discussion, findings, and conclusions. Based on the results of the fluid distribution estimated, we observed that higher injection rate and larger fluid volumes may create more uniformly distributed fluid between clusters in a stage. When considering communication between stages, the DTS and downhole camera show that there is a correlation between fluid distribution and perforation eroded area. An inconsistency of eroded area and fluid received is observed at toe-side clusters from DTS, DAS, and downhole images. This could be caused by a short erosion time at the toe-side clusters. In the completion design, only a few parameters show a strong impact on fluid distribution and perforation erosion.
Use of the DTRAX Posterior Cervical Facet Joint Fusion and Distraction Device: A Case Series Including 50 Patients
Authors: González Sánchez Jose J.
Published: July 2024

Objective: This retrospective study aimed to assess the efficacy, safety, and feasibility of the DTRAX system for posterior cervical facet fusion in cervical degenerative pathology.Methods: A retrospective analysis of 50 cases involving DTRAX for posterior cervical facet fusion between January 2017 and January 2022. Patient selection criteria, surgical techniques, outcome measures, and data analysis methods were defined.Results: Among the 50 patients included in this study, 21 were women (42%) and 29 were men (58%). Fusion levels varied, with 36 patients undergoing fusion at a single level (72%), 12 at 2 levels (24%), and 2 at 3 levels (4%), totalling 132 implants. The average age was 44.26 years; most patients presented with neck pain, and 23 also reported arm pain (46%). Discharge within 24 hours was common. Pseudoarthrosis was the leading indication (32%), followed by foraminal stenosis (28%) and failed prosthetic implants (24%). Postoperatively, significant reductions in neck and radicular pain were observed, with visual analogue scale scores decreasing steadily over 12 months (p<0.001). Functional improvements, measured by Neck Disability Index scores, were sustained, with a slight increase at 6 and 12 months (p<0.001). The fusion rates at 6 and 12 months were 88% and 96%, respectively. Complications were infrequent, including transient paraesthesia (2%), anterior revision surgery for foraminal stenosis (2%), and suboptimal implant positioning (4%).Conclusion: Favourable clinical and functional outcomes, high fusion rates, and relatively low complication rates were observed with the DTRAX system. Further studies are needed for validation and long-term assessment of efficacy and safety.
Revisiting the Past: Historical Status of Breeding Ring-billed and California Gulls in the Klamath Basin, Oregon
Authors: Shuford W. David
Published: July 2024

Three summaries of the historical and recent status of breeding Ring-billed (Larus delawarensis) and California (L. californicus) gulls in Oregon mention just two colony sites in the Klamath Basin—Upper Klamath Lake and Spring Lake—and lack numerical data for individual colonies. Nevertheless, nesting of gulls at Lower Klamath Lake before its water source was cut off in 1917 is well documented. Egg-set records, published literature, and archived field notes attest to nesting of both species before 1954 at two additional sites in the Klamath Basin, the Link and Klamath rivers. The largest known colonies up to that time were at Lower Klamath Lake (~2000 pairs, perhaps many more) and along the Klamath River below the town of Klamath Falls (~2000 pairs). Gulls no longer nest at these five sites, but, since at least 2000, they have nested intermittently at Swan Lake and Gerber Reservoir. Though Gabrielson and Jewett (1940) considered the California Gull more abundant in southeastern Oregon than the Ring-billed, egg-collectors’ data from 1926 to 1953 suggest the opposite, as in northeastern California. The California Gull may have been the more numerous of the two in the Klamath Basin when nesting and foraging habitat was dominated by wetlands, but the drying of Lower Klamath Lake and the great expansion of irrigated agriculture starting in the 1920s may have favored the Ring-billed. Trends in the Klamath Basin’s gull populations are unclear, but much nesting habitat has been lost. Documentation of the historical record of nesting gulls and other waterbirds is critical, as conservation efforts typically aim at restoring populations to some historical baseline, which can gradually shift lower with further declines and successive generations accepting a new status quo.
Wind Effects on Aechmophorus Grebe Nesting Colonies, Lake Almanor, California
Authors: Yonge Steve , Widdowson Margaret , Wise Lawrence
Published: July 2024

In late July and early August 2022, sustained winds of 13–42 km/hr and winds gusts of 19–79 km/hr disrupted the colonies of the Western (Aechmophorus occidentalis) and Clark’s (A. clarkii) grebes nesting at Lake Almanor, Plumas Co., California. Many nests washed up on shore downwind of two nesting colonies. At this time, the decrease in the lake level from drawdown and evaporation did not threaten the colonies, so the colonies’ nearly complete failure in 2022 was due to windstorms.
Stretchable multimodal photonic sensor for wearable healthcare monitoring
Authors: Guo Jingjing , Tuo Jialin , Li Zhuozhou , Guo Xiaoyan , Chen Yanyan , Cai Rong , Zhong Jing , Xu Lijun
Published: July 2024

Stretchable sensors that can conformally interface with the skins for wearable and real-time monitoring of skin deformations, temperature, and sweat biomarkers are of profound significance for early prediction, diagnosis, and treatment of diseases. Integration of multiple modalities in a single stretchable sensor to simultaneously detect these stimuli would be beneficial for more sophisticated understanding of human physiology, but yet, has not been achieved. Here, we report a stretchable multimodal photonic sensor capable of simultaneously detecting and discriminating strain deformations, temperature, and sweat pH in a single sensor architecture. The multimodal sensing abilities are enabled by realization of multiple sensing mechanisms in a hydrogel-coated polydimethylsiloxane (PDMS) optical fiber (HPOF), featured with high flexibility, stretchability, and biocompatibility. The integrated mechanisms are designed to operate at distinct wavelengths to facilitate stimuli decoupling, and adopt a ratiometric detection strategy for improved robustness and accuracy. To achieve simplicity on sensor interrogation, spectrally-resolved multiband emissions are generated upon the excitation of a single-wavelength laser based on upconversion luminescence (UCL) and radiative energy transfer (RET) processes. We show that the sensor allows for simultaneous and sensitive detection of strain deformations, temperature, and pH levels in the physiological range with fast responsiveness, robust repeatability, and reliability. Furthermore, we demonstrate proof-of-concept applications of the sensor for simultaneously detecting artery pulse or cardiopulmonary activities, along with skin temperature and sweat pH with negligible crosstalk, enabling a new paradigm of wearable multiparameter monitoring in healthcare.