bluuebunny/crossref_metadata_2025 huggingface dataset:
Writing against the Currents of Cultural Deracination: Colonial Mimicry and Postcolonial Representation in Mohamed Al 'Ali 'Ar'Ar's Mā lā Tadhruhū al-Riyāḥ [ What the Winds Cannot Wipe Off ]
Authors: Gouffi Mohammed
Published: June 2024

ABSTRACT: This research considers the representation of cultural deracination in Mohamed Al 'Ali 'Ar'Ar's novel Mā lā Tadhruhū al-Riyāḥ . The book engages with the discourse of colonial mimicry bringing to the surface the bitter ramifications of asymmetrical construction of the colonized's identity. In his depiction of the "mimic man" in colonial Algeria, Ar'Ar calls for his readers to probe into the experience of his protagonist, al-Bashir, whose dazzlement of the colonizers' power brings him under France's "mission civilisatrice." Following a Conradian journey to Paris, as a soldier in the French army, al-Bashir has to face a civilizational shock. In placing the novel in conversation with Bhabha's mimicry, the research traces how the text interrogates the implications of colonial mimicry on a character entirely fraught with futility and lack of certainty that stem from his self-immersion in Ngũgĩan "cultural Parrotry." Correspondingly, the protagonist experiences cultural depersonalization, which inevitably leads him to undergo an "identity shift" in order to abolish stigmatization. The study thus follows al-Bashir's rebellious metamorphosis from being the metonymically Westernized similar-but-not-quite "interpreter" to being the "civilized master." Interestingly, the article concludes that the protagonist's name change accelerates his mimetic conversion to produce a blurred copy of the colonizer: "al-Bashirturned-Jacques" emerges as a fully-fledged oppressor whose subjugation of his fellow countrymen is hard to ignore.
Development and characterized analgesic herbal balm using herbs as a medicine
Authors: Kailash Sahu
Published: June 2024

There has been an increasing focus on development of new routes of drug administration to provide tailored treatments for patients, without decreasing efficacy of analgesia, in proportion to the progression of the knowledge of pain mechanisms. While acute pain acts as an alarm, chronic pain is a syndrome requiring meticulous selection of analgesic drugs of high bioavailability for long-term use. Such criteria are challenges that topical medications aim to overcome, allowing progressive delivery of active component, maintaining stable plasma levels, with a good safety profile. This review presents recent findings regarding topical formulations of the most widely used drugs for pain treatment, ; Disclosed herein is a herbal balm composition and the method of preparing said composition. The composition comprising extracts of organically certified herbs, organic essential oils and organic beeswax, wherein the extract is prepared employing a super critical fluid extraction (SCFE) and where in the essential oils used herein is obtained by cold pressed method. The oils used in it are used as a pain killer.
Advanced surveillance and detection systems using deep learning to combat human trafficking
Authors: Amina Catherine Ijiga  , Toyosi Motilola Olola  , Lawrence Anebi Enyejo  , Francis Adejor Akpa  , Timilehin Isaiah Olatunde  , Frederick Itunu Olajide
Published: June 2024

Human trafficking remains one of the most heinous crimes, often hidden in plain sight, making it a complex challenge for law enforcement worldwide. The integration of deep learning into advanced surveillance and detection systems presents a promising frontier in the fight against this global issue. This review article explores the transformative impact of deep learning algorithms on surveillance technologies designed to detect patterns and anomalies indicative of human trafficking activities. We delve into various case studies where artificial intelligence (AI)-powered surveillance has not only facilitated the identification and rescue of victims but also significantly hindered the operational capabilities of trafficking networks. By analyzing the deployment of these systems in different contexts, this article assesses their effectiveness, the ethical implications of surveillance, the balance between privacy and security, and the future potential for scaling these technologies. Additionally, we explore the collaborative dynamics between AI technology developers and law enforcement agencies, emphasizing the need for a synergistic approach to maximize the impact of these technologies. This review aims to provide a comprehensive understanding of how cutting-edge deep learning applications are becoming crucial tools in the strategic arsenal against human trafficking, offering a beacon of hope for victims and a significant challenge to traffickers.
Integrating HMI display module into passive IoT optical fiber sensor network for water level monitoring and feature extraction
Authors: Sri Harsha Grandhi
Published: June 2024

This research explores the integration of Human-Machine Interface (HMI) display modules with passive IoT optical fiber sensor networks to enhance water level monitoring systems. Utilizing Fiber Bragg Grating (FBG) sensors for their high sensitivity and reliability, this study aims to provide real-time data visualization and advanced feature extraction to aid in environmental management and flood prevention. The methodology involves deploying FBG sensors across water bodies, capturing data through an IoT gateway, and using HMI modules for user-friendly interfaces. Signal conditioning, feature extraction, and machine learning algorithms are employed to ensure data accuracy and predictive analytics. Testing and validation are conducted to ensure system robustness, with performance metrics including accuracy, reliability, response time, data integrity, and power efficiency. The integration of HMI display modules into optical fiber sensor networks presents a comprehensive solution for efficient and effective water level monitoring, improving data accessibility and decision-making capabilities.
Using optimization to solve the dilemma of a delaware municipal solid waste landfill running out of capacity faster than predicted
Authors: Frank Gronwald  , Shoou-Yuh Chang
Published: June 2024

Municipal landfills play a vital role in disposing of the solid waste from a community. One of the biggest challenges landfill management face is when the available storage space is being reduced faster than the rate that was planned for. This shortening of the landfill lifecycle impacted the city of Wilmington, Delaware when it was found that their landfill had lost 11 years of its projected lifespan and would reach fully capacity within the next decade. In order to remedy the situation six alternative solutions were devised, with each having different costs (capital, operating, and transport) and varying lengths of landfill extension. This research used the principle of optimization via a LINDO program to determine which solution would achieve the longest landfill extension for the minimum total cost. Other constraints placed on the program include reducing the waste being sent to the landfill and to achieve a minimum of 25 additional years for the landfill. The calculated solution produced a cost reduction of $232.64 million dollars and 3.2 additional years of operation from the option that was eventually chosen by the landfill authority.
Classification of positive and negative test cases using ensemble machine learning methods
Authors: Amina Becic
Published: June 2024

In today’s IT industry, fast software delivery is becoming a standard and the race to the market adds up to the pressure. To ensure the quality of the developed features, quality assurance engineers apply both manual and automated techniques, and adapt their approach to optimize the process of verification. Machine learning can help significantly with the automation of some traditionally manual processes. In this research, we are showing how the classification of test cases into positive and negative can be done using ensemble machine learning methods, and whether those have advantages and better results over the basic machine learning methods. The best result was obtained by the Gradient Boosting Classifier with accuracy of 94%. However, since there is just a 1% difference in accuracy when compared to regular Decision Tree, it would not be necessary to use ensemble methods for this specific problem.
Advancements in groundwater potential mapping through remote sensing and GIS techniques
Authors: Malband Sabir Ahmed  , Shuokr Qarani Aziz  , Hewr Gailani Ahmed  , Kartikesh Jha  , Chongjun Chen
Published: June 2024

Groundwater resources are crucial for the future, facing increasing demand due to environmental changes and population growth. Economical and efficient exploration methods are becoming increasingly important, especially for middle- and lower-income regions. Deeper exploration is necessary to ensure a sustainable supply for future generations. This study examines the state-of-the-art in groundwater potential mapping. By analyzing scientific articles, it explores the recent advancements in this technique, which utilizes geographic databases and remote sensing. From a methodological perspective, the rise of machine learning algorithms is particularly noteworthy. Combining these methods with human expertise offers significant potential advantages, and experts believe it will lead to more accurate mapping. However, simply discovering groundwater is not enough. Water quality and quantity are equally important for sustainable use. Therefore, this study presents two case studies that demonstrate groundwater mapping and quality management techniques. Furthermore, due to the ever-increasing population and changing land use, continuous research is essential for a long-term perspective on groundwater availability in specific regions.
Phase change material application in solar cooking for performance enhancement through storage of thermal energy: A future demand
Authors: Harshita Swarnkar  , Ritu Jain  , Amit Tiwari  , Himanshu Vasnani
Published: June 2024

Solar cookers offer a sustainable source of energy that may be utilized for cooking purposes. On the other hand, their major disadvantage is that they cannot be employed when there is a lack of sunshine by using thermal energy storage; it is possible to significantly overcome these limits. This paper analysis specifically the latest advancements in solar cooking, including its many components and the features of heat transmission involved. Over time, many geometric adjustments have enhanced the cooking efficiency, particularly in box-type solar cookers. The utilization of energy storage materials enhanced the efficiency during periods of little sunlight. Phase change materials have a greater impact when used as a storage medium, whereas sensible heat storage mediums are more cost-effective. Improved policy implications are necessary to get social and economic acceptance. Solar cooking technology requires a method for advancement to improve its efficiency, cost, and practicality. The objective of this paper is to give a comprehensive literature evaluation of the uses of phase change materials as thermal energy storage mediums to enhance the performance of solar cookers. This review paper takes a retrospective look at the recent years by reviewing the progress made in the area of phase change materials and their applications in various heat transfer devices such as solar cookers, heat exchange, and thermal storage systems. In addition, the many types of phase-change materials, nanofluids, and the challenges associated with enhancing the thermophysical properties of phase-change materials are discussed.
Performance analysis of UPQC for total harmonic distortion
Authors: Yogesh Kumar Lahre  , Piyush Shrivas  , Sakshi Tomar  , Diksha Komra
Published: June 2024

In order to mitigate power quality (PQ) issues in electrical power systems, the Unified Power Quality Conditioner (UPQC) is the main topic of this research study. Power Quality problems, such as voltage sag, voltage swell, harmonics, and flicker, are brought on by the increase in nonlinear loads and the integration of renewable energy sources into traditional systems. Employing a variety of control algorithms and switching techniques, including as the SRF theory, hysteresis controllers, d-q theory of current, and traditional PI controllers, to balance the system, control voltage, and reduce harmonic distortions. For the reduced harmonic distortion, a FFT analysis is done so that the quick response and stability is ensured. UPQC has shown to be a successful method for fully resolving these power quality issues.
The influence of incentives, workload, supervision and work environment on nurse performance at Bahteramas General Hospital, Southeast Sulawesi Province in 2024
Authors: Besse Nurjannah  , Syawal Kamiluddin Saptaputra  , I Putu Sudayasa
Published: June 2024

Background: Nurses as part of the health workforce in hospitals work in a physical environment working in an environment where disease transmission occurs. Meanwhile, non-physically, nurses work to provide services to sick individuals who require special attention. Therefore, nurses really need a comfortable environment in order to provide optimal health services. This research aims to determine the influence of incentives, workload, supervision and work environment on the performance of nurses at the Bahteramas General Hospital, Southeast Sulawesi Province in 2024. Method: The type of research used is analytical research which is observational using a cross sectional research design with univariate tests, bivariate and multivariate tests. The population in this study were all nurses in the Inpatient Room at RSU Bahteramas, Southeast Sulawesi Province with a sampling technique using proportional random sampling of 129 people.Data analysis used the chi-square test and logistic regression. Results :Research shows that there is an influence of workload on the performance of nurses at the Bahteramas General Hospital (0.029<0.05), there is a significant influence between supervision on the performance of nurses at the Bahteramas Regional General Hospital (0.046<0.05), there is a significant influence between the work environment and the performance of nurses at the Bahteramas General Hospital (0.011<0.05), and there was no significant influence between incentives on the performance of nurses at the Bahteramas General Hospital (0.268>0.05). The workload variable is the variable that most influences performance with an Exp(B) result of2,490.
The influence of motivation and leadership style on employee performance at Menzies school of health research Timor-Leste
Authors: Delio Costa  , I Made Sukresna
Published: June 2024

The research aimed to analyze the influence of work motivation and leadership style on employee performance at the Menzies School of Health Research in Timor-Leste. Through multiple linear regression analysis using SPSS 29.0 software. The study employed a quantitative approach with primary data collected via questionnaires distributed to the entire employee population, yielding 55 responses out of 63 distributed questionnaires. Data analysis involved validity and reliability tests, followed by multiple linear regression analysis after classical assumption tests. Results indicated that work motivation and leadership style, when considered simultaneously, significantly influence employee performance. Specifically, the work motivation variable and leadership style variable both showed significant effects on employee performance. Additionally, the T-test results revealed that both the work motivation variable and leadership style variable individually have significant influences on employee performance, further highlighting their importance in enhancing organizational outcomes. The findings suggest that employees at the Menzies School of Health Research in Timor-Leste are motivated by positive social interactions and encouragement from the company, while leadership fosters employee engagement through involvement in decision-making and supportive guidance. Overall, the study emphasizes how crucial of both work motivation and leadership style in improving employee performance in the context of the Menzies School of Health Research in Timor-Leste.
Penggunaan Ragam Bahasa Santai dalam Pemasaran Usaha Akomodasi Pariwisata pada Media Sosial Instagram
Authors: Muftisirod Aristalia , Arifin Ferdi
Published: June 2024

Penelitian ini memiliki tujuan untuk mendeskripsikan bentuk penggunaan ragam bahasa santai dalam pemasaran usaha akomodasi pariwisata pada media sosial dengan menggunakan kajian sosiolinguistik. Sumber data penelitian ini adalah unggahan akun Instagram @reddoorzid dan @oyo.indonesia. Penelitian ini termasuk ke dalam penelitian deskriptif kualitatif menggunakan kajian sosiolinguistik. Maka dari itu dapat dilihat melalui penjelasan di atas bahwa peneliti akan menganalisis mengenai ragam bahasa santai pemasaran akomodasi pariwisata yang terdapat dalam akun Instagram @reddorzid, dan @oyo.indonesia. Proses pengumpulan data menggunakan teknik simak, teknik catat, dan teknik dokumentasi. Teknik analisis data yang digunakan melalui proses pengumpulan data, mereduksi data, menyiapkan data, dan penarikan simpulan. Teknik keabsahan pada penelitian ini menggunakan teknik triangulasi. Teknik Ini dilakukan dengan meninjau data dari berbagai sumber untuk menggambarkan masalah yang diteliti. Penelitian ini menggunakan teknik analisis data dari Miles dan Huberman yang terdiri atas pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian ini ditemukan terdapat banyak diksi yang digunakan dalam proses pemasaran akomodasi pariwisata yang menggunakan ragam bahasa santai.
Development of plant diversity flipbooks integrated local wisdom
Authors: Sirait Silvia Hanna Kusuma , Sremere Friana Martina , Nunaki Jan Hendriek , Tuwo Mustika
Published: June 2024

For plant diversity course, teaching materials in the form of interactive e-modules were not yet available. The diversity of sago plants has been compiled in the form of a supplementary book, but was limited to the printed type. This research aimed to develop flipbook-based e-module teaching materials integrated with local wisdom in the plant diversity course. The e-module contains local wisdom about the diversity of sago plants which were differentiated based on the color of the leaf shoots and the varying shape of the midrib as well as the use of the local (regional) language of the Tehit Kna tribe. E-module was expected to be a bridge in the process of digitizing teaching materials. The data source for this research was 9 active students from the Biology Education Department, odd semester for the 2023/2024 academic year. This research was conducted at the Department of Biology Education, University of Papua Manokwari and used the R&D research method with the ADDIE model but was limited to the following stages: Design, design, framework and preparation of the e-module from the front view, the contents of the book to the back cover of the book; Development, validation of flipbook-based e-module teaching material prototypes by media experts; and Evaluation, assessing each stage until the product produced in the form of an interactive e-module based on a flipbook integrated with local wisdom was declared valid and practical. The research results show that the e-module was very valid (96.5%) and very practical (95.56%).
The teachers’ awareness and utilisation of innovative strategies for teaching and learning in Awka South
Authors: Christian-Ike Nwanneka Oluchukwu , Nnalue Obioma Henrietta , Nwuba Izunna Shedrack
Published: June 2024

Basic science's role in instilling a love of science and laying the groundwork for science studies in senior secondary school prompted the survey of teachers' awareness and utilization of innovative teaching strategies for effective teaching and learning of basic science in upper basic education. The study adopted a survey research design. The population comprised all the 36 basic science teachers in the 19 public secondary schools in Awka South local government area. Questionnaire was used to collect data. Data was analyzed using descriptive statistics of frequency and mean scores. The study found that the teachers are aware of majority of innovative teaching strategies for teaching Basic science. The extent basic science teachers use innovative teaching strategies in enhancing basic science teaching in upper basic education was to a low extent. The study concluded that the basic science teachers are aware of the majority of innovative teaching strategies but their application within the classroom remains low. This discrepancy between awareness and practice highlights a critical gap in the implementation of effective pedagogical approaches for basic science education. The study recommended that the government through her relevant educational agencies should design and implement comprehensive training programs focused on equipping teachers with the necessary skills and knowledge to effectively utilize various innovative teaching strategies in the basic science classroom.
How Does the Old Testament Speak About God’s Knowability? On the Complexity of the Topic, as Reflected in Previous Scholarship
Authors: Schellenberg-Lagler Annette
Published: June 2024

This article argues that the lack of comprehensive scholarly treatments of how the OT speaks about God’s knowability has to do with the complexity of the topic and the diversity of how the OT addresses it. It shows the diverse ways of how previous scholars have approached the OT statements and assumptions about God’s knowability (and the knowledge of God), clarifies how these statements and assumptions are related to each other, and gives some ideas about possible directions of future research.
DESIGN FOUNDATION OF A COVERED FREIGHT CAR WITH AN INCREASED LOADING SPACE
Authors: Antipin Dmitriy , Ashurkova Svetlana , Bondarenko Denis , Manueva Marina
Published: June 2024

The market of covered freight cars, as well as existing designs of this car type of domestic and foreign production is analyzed. Promising trends of making innovative designs of freight cars for the transportation of piece and container goods are found out. The original design of a covered freight car with an increased body space due to the use of the space between trucks is proposed. To reduce the complexity of loading and unloading operations, sliding sections of the side walls and roof are provided in the car design. To confirm the compliance of the proposed design with the requirements of regulatory and technical documents, the car was entered into the dimension, checking for automatic coupling at the junction of a straight line and a curve, passage in the coupling of an s-shaped curve and coupling of a straight line and a curve, and a single car along a circular curve of a small radius, as well as passing without self-decoupling of the hump of the sorting slide, the ramp exit of the train ferry. A safety assessment is carried out with regard to rolling the wheel onto the rail and overturning the car in curves. The car dynamic characteristics are found out by mathematical modeling methods. The assessment of the strength of the body load-bearing structure, lifting mechanisms of the floor sections, sliding sections of the roof and side walls is performed using the finite element method implemented in the environment of a specialized software package. The results obtained as a result of calculations and computer modeling confirmed the operability and safety of the proposed design of a covered freight car with an increased loading space.
Estimating Ukrainians’ approval of European Union values using artificial intelligence
Authors: Nosova Olga
Published: June 2024

This article aims to assess the worldviews and beliefs of respondents that have developed in Ukraine regarding the European Union using artificial intelligence (AI). The study examines the changes in attitudes and beliefs regarding the implementation of European Union values in society. The paper represents an attempt to understand the survey result with the use of AI. The estimation of Ukrainian citizens' values shows the growing tendency of Ukrainians to adhere to the values of democracy, personal freedom, the value of personal life toward the European Union beliefs. The study shows insufficient satisfaction with European values and beliefs in society due to the insufficient compliance with the law. Creation opportunities and encouraging people to spread views and beliefs of European Union values will support the adoption and dissemination of democratic values.
Scoping review of impact of digital transformation on business processes
Authors: Lysenko Sergii
Published: June 2024

Over the past decades, and in particular since COVID-19 pandemic, digital transformation has covered more and more areas in business and management. Digital transformation poses new challenges for scientists, especially when assessing the impact of digital transformation on business processes.
The scientific research is devoted to the analysis of existing approaches to measuring the effect of the implementation of digital transformation in the system of corporate governance in terms of compliance with the principles of sustainable development.
This article conducted research on scientific articles from 2019 to 2023 years to demonstrate the relevance of topics in the field of digital transformation of management and business processes.
The research method is based on a comprehensive search method using an iterative process, which is guided by the requirement to identify all relevant literature (published and unpublished) suitable to answer the main question: the impact of digital transformation on business processes.
The key criteria for the search were words and phrases: digital transformation, business processes, management, model, processes, as well as various categories by authors, number of articles and their citations.
The implementation strategy of modern digital technologies and initiatives should be based on a systematic approach to measurement, analysis, and improvement of the organization's business processes for sustainable development. The ways and directions of implementing digital business process tracements directly affect the effectiveness and success in general. The result suggests future opportunities in this widespread field and thereby highlights the most influential and unique research in the field.
Facilitating the implementation of AI-based assistive technologies for persons with disabilities in vocational rehabilitation: A practical design thinking approach
Authors: Lakeisha Onyango  , Jadini Precious , Ahmed Darwesh Rahma , Abdullatif Uthaynah
Published: June 2024

What is vocational learning? It refers to education and training that focuses on acquiring practical skills and knowledge directly related to specific jobs or careers. All over the world, it is unfortunate that a person with a disability is less likely to be employed than one without. AI has served as an important tool in providing assistive technologies for persons with disabilities in vocational learning. Luckily, person which is an extension of innovation that allows you to design solutions for end users with a single problem statement in mind was developed. (Abou-Zahra, Brewer and Copper: 2018).
In this research we sought out ways in which AI has helped those with disabilities. Are the AIs really effective? Do they come with any challenges? Can these problems be solved? We discovered some challenges encountered through the use of these AI and found a way to solve them. By leveraging AI algorithms, researchers and developers can create cost-effective solutions that cater to a wide range of disabilities.
This includes AI-powered prosthetics, smart glasses for visual assistance, AI voice technologies, such as Siri, Alexa, accessibility tools such as screen readers, captioning services and other assistive devices that enhance mobility, communication, and overall independence and autonomy. AI can track and analyse an individual’s progress in vocational training then adaptive learning platforms can adjust the difficulty and pace of training materials based on the learner’s performance and progress.
Incorporating AI into vocational training can significantly enhance accessibility, individualised support, and the overall learning experience for people with disabilities. It empowers them to acquire the skills and knowledge they need to pursue meaningful careers and contributes to greater inclusivity in the workforce.
An Immersive Hydroinformatics Framework with Extended Reality for Enhanced Visualization and Simulation of Hydrologic Data
Authors: Mudiyanselage Uditha , Gonzalez Eveline , Sermet Yusuf , Demir Ibrahim
Published: June 2024

This study introduces a novel framework, with the use of Extended Reality (XR) systems in hydrology, particularly focusing on immersive visualization of hydrologic data for enhanced environmental planning and decision-making. The study details the shift from traditional two-dimensional data visualization methods in hydrology to more advanced XR technologies, including virtual and augmented reality. Immersive information systems facilitate dynamic interaction with real-time hydrological and meteorological datasets for various stakeholders and use cases and paves the way for metaverse and digital twin systems. This system, accessible via web browsers and virtual reality (VR) devices, allows users to navigate a 3D representation of the continental United States, engaging with detailed environmental data. The paper addresses the current limitations in hydrological visualization, methodology, system architecture while discussing the challenges, limitations, and future directions to extend its applicability to a wider range of environmental management and disaster response scenarios, highlighting the potential of XR systems in transforming data visualization and its future applications in hydroinformatics.
A method for evaluating sediment-induced macroinvertebrate community composition changes in Idaho streams
Authors: Williams Jason , Efta James
Published: June 2024

This study developed stream surface fine sediment < 2 mm (SF) and macroinvertebrate fine sediment biotic index (FSBI) benchmarks and an application framework to test for sediment-induced macroinvertebrate community composition changes in 1st-4th order Idaho streams. FSBI reference benchmarks were calculated as the 25th percentile FSBI value among reference sites within three ecoregion-based site classes. Two approaches were used to develop SF benchmarks. Quantile regression was used to define reach-specific SF benchmarks representing an upper bound value expected under reference conditions. In addition, logistic regression was used to predict SF values with 50% and 75% probability that FSBI is worse than reference within each stream order and site class. The strength of association between SF benchmarks and macroinvertebrate community condition was evaluated by calculating relative risk using multiple datasets and examining responses of multiple macroinvertebrate indicators to SF benchmark status. SF reference benchmarks generally had stronger associations with poor macroinvertebrate condition than SF stressor-response benchmarks. Across datasets and macroinvertebrate indicators, poor macroinvertebrate condition was 1.8-3 times more likely when SF reference benchmarks were exceeded than when achieved. We propose rating the strength of evidence for a surface fine sediment-induced macroinvertebrate community composition change at the sample event scale as ‘unlikely’ if both SF and FSBI reference benchmarks are achieved, having ‘mixed evidence’ if only one reference benchmark is achieved, and ‘likely’ if both reference benchmarks are not achieved. We recommend combining ratings with other relevant data in a weight-of-evidence approach to assess if sediment impairs aquatic life.
Temporal dynamics of model-based control reveal arbitration between multiple task representations
Authors: Yoo Jungsun , Bornstein Aaron
Published: June 2024

Previous work demonstrates that people arbitrate between control algorithms – e.g. model-based or model-free – according to their relative certainty at the given moment. Here, we examined whether a similar uncertainty-based arbitration could explain the relative pattern of reliance on distinct representations of environmental contingencies. We employ a novel variant of a standard two-stage decision task. This new task allows us to behaviorally capture within- and across-trial dynamics of model-based planning. We jointly fit choices and response times with a new computational model that revealed how people select among multiple task representations during planning in environments of differing state-space complexity. In particular, we examined how the reliance on task representations changed both as a function of experience, within-subject, and task complexity, across subjects (total n = 426). We show that both the complexity of the environment and experience with a given contingency structure inform the kinds of representations we use to make decisions: at the early stages of the task, people start with “conjunctive” representations (combining co-occurring first-stage states) in simpler environments, while a “separated” representation (splitting states according to their second-step outcomes) is preferred in more complex environments. With experience, this pattern is reversed. We show that this shift is likely to be governed by a change in objectives: initially, people focus on minimizing uncertainty, and once this is achieved, they transition to prioritizing execution efficiency. Taken together, we show that people not only arbitrate between different modes of control, but also between types of representations for efficient planning.
Optimisation of some technological factors of pretreatment by pullulanase enzymatic hydrolysis combined with hydrothermal process to produce resistant starch (RS3) from rice flour ingredients
Authors:   Vietnam Institute of Agricultural Engineering and Post Harvest Technology, 60 Trung KinhStreet, Trung HoaWard, Cau GiayDistrict, Hanoi, Vietnam, Pham Cao Thang , Pham Anh Tuan ,   Vietnam Institute of Agricultural Engineering and Post Harvest Technology, 60 Trung KinhStreet, Trung HoaWard, Cau GiayDistrict, Hanoi, Vietnam, Nguyen Duy Lam ,   Vietnam Institute of Agricultural Engineering and Post Harvest Technology, 60 Trung KinhStreet, Trung HoaWard, Cau GiayDistrict, Hanoi, Vietnam
Published: June 2024

The purpose of the study was to conduct a multi-factor experiment and optimize some technological factors of pretreatment by pullulanase enzymatic hydrolysis combined with hydrothermal process to produce resistant starch (RS3) from rice flour of IR50404 paddy variety. The multi-factor experimental plan used the Box-Behnken planning model with 3 independent variables corresponding to the variation range: Pullulanase enzyme concentration (1.5-2.5%); Hydrolysis temperature (52-58oC); Hydrolysis time (8-12 hours). The objective functions include: RS3 resistant starch content (%), reducing sugar content (%), and solubility (%). The experiments were conducted under the same conditions with the parameters determined from single-factor experiments: Prepare enzymatic hydrolysis solution with rice starch/water concentration of 15% at pH 5.5; Hydrothermal mode includes 3 heat treatment/cooling cycles: Autoclaving (130oC, 60minutes) →Cooling and storage time(4oC, 18 hours). Experimental data processing and optimization used Design -Expert 7.1 software with expected function algorithm with the desire that the RS3 resistant starch content, reducing sugar content and solubility reach their maximum values, corresponding to the important coefficients of 5/5, 4/5, and 4/5. The results were the determination of the optimal enzymatic hydrolysis pretreatment regime with pullulanase enzyme concentration of 2.2%, hydrolysis temperature of 54.4oC for 10.4 hours, corresponding to RS3 resistant starch content reached 47.58±0.22%, reducing sugar content reached 14.12±0.08%, and solubility reached 68.52 ± 0.18% after hydrothermal process.
Epidemiological, clinical characteristics and the association between influenza vaccination, oseltamivir treatment, and complications in children with seasonal influenza
Authors:   Vietnam Military Medical University, 160 Phung Hung Street, Phuc La Ward, Ha Dong District, Hanoi, Vietnam, Nguyen Manh Cuong , Le Thi Thuy Hang ,   Vietnam Military Medical University, 160 Phung Hung Street, Phuc La Ward, Ha Dong District, Hanoi, Vietnam, Do Thanh Nam ,   Vietnam Military Medical University, 160 Phung Hung Street, Phuc La Ward, Ha Dong District, Hanoi, Vietnam, Pham Thai Son ,   Children’s Hospital 2, 14 Ly Tu Trong Street, Ben Nghe Ward, District 1, Ho Chi Minh City, Vietnam, Trinh Hoang Long ,   Tokyo Human Health Sciences University Vietnam, ST01 Ecopark Urban Area, Van Giang District, Hung Yen Province, Vietnam, Phung Thi Bich Thuy ,   Vietnam National Children’s Hospital, 18/879 La Thanh Street, Lang Thuong Ward, Dong Da District, Hanoi, Vietnam, Hoang Yen Thi ,   National Institute of Malariology Parasitology and Entomology, 34 Trung Van Street, Trung Van Ward, Nam Tu Liem District, Hanoi, Vietnam, Tran Quang Khai ,   Department of Pediatrics, Can Tho University of Medicine and Pharmacy, 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam
Published: June 2024

Influenza, a historical and contemporary public health challenge, is an acute respiratory infection caused mainly by influenza A or B viruses. This descriptive case series describes 194 children treated for seasonal influenza at the Department of Pediatrics, 103 Military Hospital, Vietnam Military Medical University, from May 2022 to May 2023. Influenza primarily occurred during winter and early spring, peaking in December and January, 57.2% were aged 12-60 months, boys. Vaccination coverage was limited (36.3%), especially post-COVID-19. Complications were seen in 75.3% of the cases, including febrile seizures (42.3%), bronchopneumonia (40.2%), respiratory failure (8.2%), acute myocarditis, influenza-associated encephalopathy, and septic shock. The study reveals bacterial coinfections, affected 20% of the cases, mainly by Streptococcus pneumoniae and S. aureus, and atypical bacteria Mycoplasma pneumoniae. Non-vaccinated children faced significantly higher risks of complications, oseltamivir within 48 hours reducing the risks of complications. Influenza predominantly affects 12-60 month-olds, males, and peaks annually in winter. Severe conditions stem from bacterial coinfections, emphasizing the importance of vaccination and prompt antiviral treatment to mitigate complications. The study highlights a critical need for increased vaccination, especially in the post-COVID-19 era, to manage influenza in children effectively.
Implementasi Algoritma Yolo V5 Dalam Rancangan Aplikasi Pendeteksi Plat Nomor Kendaraan
Authors: Nugroho Bagus Prasetyo , Prihati Yani , Galih Sinta Tridian
Published: June 2024

Penelitian ini membahas tentang implementasi algoritma YOLO v5 dalam rancangan aplikasi pendeteksi plat nomor kendaraan. Algoritma YOLO v5 dipilih karena kemampuannya dalam mendeteksi objek dengan cepat dan akurat. Penelitian ini bertujuan untuk mengembangkan sebuah aplikasi yang dapat mendeteksi plat nomor kendaraan secara real-time menggunakan teknologi YOLO v5. Metode yang digunakan meliputi beberapa tahap, yaitu building dataset, training dataset, modeling, dan pembuatan interface aplikasi. Dataset berupa 1050 gambar, training dataset menggunakan 70% data train, 20% data test, dan 10% data valid, diperoleh akurasi sebesar 84%, presisi 92,9%, dan skor F1 sebesar 80%. Modeling menggunakan algoritma YOLOv5. Pembuatan interface aplikasi menggunakan Python Flask.
Expert System for Diagnosing Damage to Automatic Motorcycle Engines Using the Forward Chaining Method
Authors: Nuryadi Nanang , Hidayat Aziz Setyawan , Handono Felix Wuryo , Asistyasari Ayuni , Nuryaman Yosep
Published: June 2024

Damage to the matic engine due to negligence in treatment. The new vehicle owners aware of the damage after the vehicle can not operate properly. Therefore, the use of vehicles likely to require regular maintenance. By way of detecting damage to what is happening on the vehicle. For example, if the vehicle sound noisy and have no idea why this happens, it is this which encourages the development of an expert system to identify / diagnose matic damage to the engine. Submission of information was carried out using visual basic applications that have been made​​. By running the application diagnosis expert system engine matic damage to the computer, it will be processed in the system then the results will be displayed on the computer screen. This system is expected to provide optimal information from the user and the system of reciprocity.This study is expected to provide all information related to the engine damage problem quickly and efficiently on a reciprocal basis between the user and the system.
Desain Dasboard Untuk Analisis Harga Pangan Di Indonesia
Authors: Ruben Ruben , Trisnawarman Dedi
Published: June 2024

Stabilitas harga pangan penting bagi kesejahteraan sosial-ekonomi suatu negara. Penelitian ini bertujuan mengembangkan dashboard analisis stabilitas harga untuk komoditas seperti beras, daging ayam, daging sapi, telur ayam, dan cabai merah, dengan mempertimbangkan curah hujan, suhu rata-rata, dan kurs IDR USD. Data harga pangan, curah hujan, suhu, dan kurs IDR USD dari tahun 2018-2023 dianalisis menggunakan metode korelasi Pearson. Data diolah melalui proses ETL sebelum dimasukkan ke dalam data warehouse terstruktur yang dirancang dengan skema bintang. Dashboard dikembangkan menggunakan Power BI, menyediakan antarmuka yang menitikberatkan pada metrik harga pangan. Hasil penelitian adalah rancangan skema bintang yang menghubungkan tabel fakta harga pangan dengan dimensi seperti tabel pangan, cuaca, provinsi, tanggal, dan kurs, sehingga memungkinkan pengguna memantau dan menganalisis tren harga pangan secara visual dan komprehensif.
Analisa Efektivitas Instagram Ads Untuk Meningkatkan Branding Event Selacontest.Id Dengan Metode CRI Dan EPIC Model
Authors: Kurniawan Yudha Adhitya , Jufriyanto Moh. , Rizqi Akhmad Wasiur
Published: June 2024

Pertumbuhan pengguna media sosial secara global menunjukkan peningkatan yang signifikan . Cara promosi dengan menggunakan internet ini juga digunakan oleh PT. SELA KONTES PRODUKSI dalam mempromosikan acara selacontest.id yang diikuti oleh peserta berusia 0 hingga 15 tahun. Penelitian ini untuk menilai efektivitas penggunaan Iklan Instagram dalam Selacontest. Id event menggunakan metode EPIC Model dan metode CRI. Setelah melakukan penelitian mengenai efektivitas pemasangan iklan di Instagram Ads untuk meningkatkan branding acara Selacontest.Id, dengan menggunakan metodologi Customer Response Index dan EPIC Model. Temuan yang dikumpulkan mengungkapkan bahwa pengujian efektivitas periklanan di Instagram Ads dengan pendekatan Customer Response Index (CRI) pada acara Selacontest.Id dinilai berhasil. Temuan penelitian menunjukkan bahwa penggunaan Model EPIC merupakan strategi yang sangat baik untuk meningkatkan branding acara yang diselenggarakan oleh Selacontest.Id melalui iklan di media sosial Instagram. Pendekatan ini terbukti sangat berguna bagi pemilik Instagram yang telah berinteraksi dengan akun Selacontest.Id.
Film Recommendation System using Neural Collaborative Filtering Method
Authors: Nugroho Daniel Ary , Lubis Chairisni , Perdana Novario Jaya
Published: June 2024

Films are growing rapidly thanks to the increasing number of internet users. According to USC (University of Southern California), users easily get bored if they cannot find the movie they want within 1.5 minutes or within 90 seconds and may switch to other platforms, resulting in a decrease in active users. This problem can be overcome by using a recommendation system that can provide film recommendations based on user ratings. In this design, the recommendation system used is Neural Collaborative Filtering (NCF). Testing using 3,235 film titles, 610 users, and 87,812 ratings produced the best scenario with a recall value of 69.6% and Normalized Discounted Cumulative Gain (NDCG) with a value of 81.4%. From the test results, it can be concluded that 69.6% of films that should have been recommended were successfully recommended, and the recommendation position was similar to the actual position in 81.4% of cases.
Blocplan Algorithm for Facility Layout Design in Various Industry in Indonesia
Authors: Pamungkas Iing , Abdiel Khaleil Akmal  , Heri Tri Irawan
Published: June 2024

Facility layout is an important aspect in planning and developing production facilities. A good layout can increase efficiency, productivity and safety in the production process.  The Blocplan algorithm is a layout design method that can produce an efficient layout.  This method uses a heuristic algorithm to find layouts based on having the highest R-Score value.  The Blocplan algorithm has been applied in various industries in Indonesia because of its advantages which can produce a more efficient layout compared to the initial layout.  Based on this, it is necessary to study the use of the Blocplan algorithm in designing facility layouts in various industries in Indonesia.  This review aims to determine the use of the Blocplan algorithm in designing facility layouts in various industries in Indonesia.  The review results show that layout design using the Blocplan algorithm can produce a layout that is more efficient than the initial layout. It was found that several related industries in Indonesia can use the Blocplan algorithm in redesigning facility layouts, including the pharmaceutical industry, construction project implementation, food industry, steel or iron industry, spring bed production, PVC production, transformer production, valve production, production trolleys, corn milling, feed processing, plastic recycling, garment or convection industry, robotization industry, coffee production, paper production, brick production, and wood processing.
Decriminalization of Abortion in the era of COVID-19
Authors: García Lirios Cruz
Published: June 2024

Reproductive health policies, focused on the decriminalization of abortion, have effects on the beliefs, attitudes, intentions and behaviors of termination of pregnancy. As women get older, more educated and more income, they rationally choose an abortion, but they move away from the ideal age for procreation of 22 years. The objective of the present work is to establish the exploratory factor structure of scales that measure four factors and 28 indicators (seven for each factor) related to the termination of pregnancy. Consequently, a non-experimental, cross-sectional and exploratory study was carried out with a non-probabilistic selection of 100 students. From a structural model the intentions determined the behaviors, but the factor solution was explained by beliefs. However, the context, sample selection, and type of analysis precludes generalizing the data to other settings. It is recommended to carry out a confirmatory factor analysis with a probabilistic selection of the sample in the local population.
The Clinical Outcome of Snodgrass Repair in Distal Hypospadias - A Tertiary Care Hospital Experience
Authors: Singhal Vinod Kumar
Published: June 2024

Hypospadias stands as one of the most prevalent congenital abnormalities in male children, impacting approximately 1 in 300 individuals. This condition manifests with the urethral meatus positioned on the ventral surface of the penis, deviating from its usual location, ranging from below the glans tip to the perineum. The classification of hypospadias comprises three types based on meatal position: posterior (proximal), middle, and anterior (distal). In the anterior type, the meatus opens on the distal penile shaft, the corona, or the glans tip. Distal hypospadias represents the most prevalent type, accounting for 50%-70% of cases. Addressing hypospadias poses a challenge to surgeons, with a learning curve associated with various repair techniques. The diversity of surgical options underscores the absence of a universally successful procedure, emphasizing that the initial operation offers the best chance of success.