bluuebunny/crossref_metadata_2025 huggingface dataset:
The Fragmentation and Integration of North American Governance: Border Security and Economic Policy for the Obama Administration
Authors: Anderson Greg
Published: January 2025

A change of administration in Washington, D.C. in early 2009 will not represent a significant departure from recent approaches to border management in North America. The post-9/11 marriage of economics and security will continue to make border management difficult in security and economic terms for all three NAFTA countries. With no political momentum for new trade liberalization initiative in North America and security remaining as an overriding priority, the status quo will prevail. That means policy largely driven from Washington and the Department of Homeland Security (DHS). However,the evolution of federalism in all three countries and proposals for reform of DHS offer hope for progress in border management driven by cross border necessities rather than dictates from Ottawa, Washington, or Mexico City.
How can a connected ecosystem of technology and resources improve the socioeconomic conditions of farmers and promote sustainable agricultural practices
Authors:   Department of Computer Science and Engineering, Raj Kushal B , Nayaka Abhishek R N , Nayaka k Sumanth , M Chaithanya
Published: January 2025

This paper investigates the impact of how a connected ecosystem of technology and resources improve the socioeconomic conditions of farmers and promote sustainable agricultural practices. It highlights how technologies such as precision farming tools, mobile-based advisory services and digital marketplaces can Inspire farmers to make judicious choice and improve productivity

The study also explains the importance of collaborative networks involving governments, private stakeholders, and local communities in enhancing accessibility to finance, education and trade relationships.

The study analyze obstacles like regulatory limitations and infrastructural deficiencies and suggests solutions by using case studies. The results highlight how a connected ecosystem can significantly lower rural poverty, foster equitable growth, and facilitate a large-scale transition to sustainable agriculture.
Image Similarity Using Logistic Regression
Authors:   Computer Science & Engineering  Guru Nanak Institution Technical Campus Telangana, India, Kumar Meesala. Sai
Published: January 2025

Many machine learning algorithms, such as kernel machines, nearest neighbors, clustering, and anomaly detection, rely on distances or similarities to identify patterns in data. Before using these similarities to train a model, it is crucial to ensure they reflect meaningful relationships within the data. In this paper, we propose enhancing the interpretability of these similarities by augmenting them with explanations. To achieve this, we introduce Logistic Regression & Haar Cascade, a scalable and theoretically sound method designed to systematically decompose the output of pre-trained deep similarity models for pairs of input features. Our approach can be viewed as a composition of regression- based explanations, which previous research has shown to effectively scale to highly nonlinear models. Through extensive experiments, we demonstrate that Logistic Regression consistently provides robust explanations for complex similarity models. We also apply our method to a challenge in digital humanities: evaluating

the similarity between historical documents, such as astronomical tables. In this context, Logistic Regression & Haar Cascade offers valuable insights and enhances the interpretability of a specialized, highly engineered similarity model.

Key words

Logistic Regression, Haar Cascade, Image Similarity, Machine Learning, Explainable AI, Deep Learning, Object Detection, Convolutional Neural Networks (CNN), Feature Extraction, Data Preprocessing.
Early Detection of Parkinson’s Disease Using Machine Learning
Authors:   Dept. of Computer Science and Engg.  Malnad College of Engineering Hassan, India, H S Pramoda , H S Yashaswini , Dutt . H G Vaishnavi , J . Bhanu N , R Nayana
Published: January 2025

Parkinson’s Disease (PD) is a chronic neurodegen- erative disorder that significantly impacts motor and non-motor functions, affecting millions of people globally. While motor symptoms such as tremors, rigidity, and bradykinesia are the most recognizable features, subtle non-motor signs, including vocal impairments, often emerge in the early stages of the disease. Early diagnosis of PD is crucial, as timely interventions can slow disease progression and improve patients’ quality of life. Traditional diagnostic methods, reliant on clinical observations and imaging, are often subjective, expensive, and inaccessible in resource-limited settings.

This research introduces a real-time, non-invasive system for PD prediction using voice analysis. The proposed system leverages advanced machine learning techniques to identify vocal biomarkers indicative of Parkinson’s. Features such as Mel- frequency cepstral coefficients (MFCCs), jitter, shimmer, and harmonics-to-noise ratio (HNR) are extracted from recorded voice samples, providing a quantitative basis for early disease detection. By employing deep learning architectures like CNN- LSTM, the system achieves high accuracy in distinguishing Parkinsonian voices from healthy ones, even in challenging environments.

Designed for real-time operation, the system integrates voice input, feature extraction, and predictive analysis into a seamless pipeline with minimal latency. The implementation emphasizes scalability, allowing the system to handle diverse linguistic and demographic variations. Evaluation on benchmark datasets, such as the Parkinson’s Telemonitoring dataset, demonstrates the sys- tem’s robustness, achieving significant improvements in accuracy and processing speed compared to existing methods. The system’s user-friendly interface ensures accessibility for clinical and home- based applications.

This study highlights the transformative potential of voice- based diagnostic systems driven by machine learning. By offering a cost-effective and scalable alternative to traditional methods, the proposed system addresses critical challenges in early PD detection. Its real-time capabilities pave the way for widespread adoption in clinical and telehealth settings, ultimately enhancing early diagnosis and improving outcomes for individuals with Parkinson’s Disease.
Comparative Analysis of Net NPA's to Net Profit Ratio of Public and Private Sector Banks in India”
Authors:   Student of Department of Management Studies. Madanapalle Institute of Technology & Science. Madanapalle, Sreevani D. , Valluri Venkata Rao
Published: January 2025

This study examines the Net NPA to Net Profit ratio of India's public and private sector banks from 2020 to 2024. The study aims to compare the performance of public and private sector banks and identify the factors influencing their Net NPA's to Net Profit ratio. The results show significant differences in the net NPAs to net profit ratio between public and private sector banks. Private sector banks have a higher Net NPA to Net Profit ratio compared to public sector banks. The study also identifies economic factors such as GDP growth rate, inflation rate, and interest rate as significant influencers of the Net NPA's to Net Profit ratio. The findings of this study have implications for bank management, policymakers, and researchers. The study suggests that banks should focus on improving asset quality, enhancing risk management practices, and diversifying revenue streams to improve their Net NPA to Net Profit ratio.

Keywords: Net NPA's to Net Profit ratio, public sector banks, private sector banks, India, banking performance.
Fuzzy-based driver monitoring system
Authors: Harshitha, Harshitha, , HS Bhoomika , RN Ganavi , S Anagha B , Monika Monika
Published: January 2025

This paper presents an all-around approach to enhancing road safety through a fuzzy driver tracking system integrated with VANET technology, IoT devices, and hardware wristbands. The increasing prevalence of road accidents is caused by factors such as driver fatigue, health disorders, or inattention to this system, which effectively detects and responds to such situations and provides real-time solutions. It comes with advanced sensors The hardware wristband continuously monitors the driver's pulse, like heart rate. Body temperature and movement Patterns for identifying signs of sleepiness abnormal health parameters or erratic behavior are processed using fuzzy logic algorithms. The in-car software interface gets real-time information from the wristband, processes it, and unlocks several safety protocols, which include visual notifications, buzzing alerts, and communication with other vehicles through VANET technology. The system also logs highly detailed records of incidents it detects, which will be analyzed later for long-term behavioral profiling. It will leverage the power of IoT-enabled cloud storage to optimize data management and analysis, thus fostering continuous improvement in traffic safety protocols. The integration of fuzzy logic ensures accurate and context-sensitive decision-making, addressing uncertainties inherent in dynamic driving environments. Meanwhile, the utilization of VANET enables seamless communication between vehicles, enhancing collective road safety. This paper provides an in-depth exploration of the system's architecture, design principles, algorithms, implementation strategies, and expected outcomes. It has several aspects, thereby changing the face of drivers' safety through reduced accidents, faster response mechanisms to accidents at a given time, and thus a safer ecosystem of transport for all other road users. This system represents a crucial step forward in intelligent transportation technologies. Combining the features of real-time monitoring, predictive analytics, and robust communication networks, the solution not only mitigates short-term risks but also works toward long-term safety improvement. The modular design adapts to different vehicle types and driving environments, making this a scalable solution for widespread adoption. This paper outlines the capacity of the system to transform traditional road safety mechanisms into proactive and intelligent ones.

Index Terms—Internet of Things (IoT), secrecy enhancing, smart cities, space shift keying (SSK).
EARTHQUAKE PREDICTION USING MACHINE LEARNING
Authors:   Department of Computer Science and Engineering (Joginpally BR Engineering College), Latha, .Swarna
Published: January 2025

Earthquakes are among the most devastating natural disasters, causing widespread destruction and loss of life. Accurate prediction of earthquakes remains a significant scientific challenge due to the complex and nonlinear nature of seismic activity. This project explores the potential of machine learning techniques to improve earthquake prediction by analyzing large-scale seismic data. By leveraging historical earthquake records, geophysical parameters, and real-time data, we aim to identify patterns and correlations that can provide early warnings.

Our approach employs advanced machine learning models, such as deep neural networks, decision trees, and ensemble learning techniques, to process and analyze high-dimensional data. Feature engineering techniques are used to extract meaningful insights from seismic signals, and the models are trained and validated using comprehensive datasets. Performance metrics such as accuracy, precision, recall, and F1-score are used to evaluate the predictive capability of the models. The results demonstrate the feasibility of using machine learning to enhance earthquake prediction, offering the potential for earlier alerts and improved disaster preparedness
Using AI for Intrusion Detection and Threat Intelligence: Enhancing Enterprise Security in the Digital Age
Authors:   PAM Program Lead Texas, USA, Malipeddi Anil Kumar , Pasunuru Sreekanth ,   Cyber Security Engineer Sr. Consultant
Published: January 2025

The rise of cyber threats has underscored the need for advanced tools that can predict, detect, and respond to security
incidents with minimal human intervention. Artificial Intelligence (AI) is now at the forefront of such tools,
transforming intrusion detection and threat intelligence systems with its ability to analyze vast amounts of data, learn
from patterns, and adapt to emerging threats. This article explores how AI is reshaping intrusion detection systems
(IDS) and threat intelligence platforms, examining the methods, advantages, and challenges associated with AI-driven
security systems. Through AI, enterprises can strengthen their cyber defenses by enabling proactive, real-time
responses to increasingly sophisticated cyber threats.
Keywords: Intrusion Detection, Threat Intelligence, Artificial Intelligence, Machine Learning, Cybersecurity,
Automated Response
Calculating the flow rate of a horizontal open hole well
Authors:   North Caucasus Federal University, Stavropol, Russia, Tolpaev V. A. , Akhmedov K. S. ,   North Caucasus Federal University, Stavropol, Russia, Kurbanov Ya. M. ,   Tyumen Industrial Institute, Tyumen, Russia, Verisokin A. E. ,   North Caucasus Federal University, Stavropol, Russia, Gromov A. D. ,   PJSC Gazprom, St. Petersburg, Russia
Published: January 2025

Based on literature survey on formulas for calculating flow rates, the authors conclude that the problem of calculating the flow rates of horizontal wells currently remains relevant. However, the emphasis is on reproducing the geometry of streamlines in gas flow as accurately as possible and insufficient attention is paid to the influence of flow friction forces when moving along the horizontal wellbore. In order to fill the gap on influence of flow friction forces when moving along horizontal wellbore, the article presents a semi-analytical model for calculating the flow rate of horizontal open hole well. The main attention is paid to depression
drop due to flow friction along the horizontal wellbore, which significantly affects well productivity. Test calculations have been demonstrated the optimal horizontal section length is about 350 meters. The developed model allows us to give recommendations on selection of optimal length and diameter of horizontal wells for fields with known filtration and reservoir properties. The article also analyzes existing methods of flow rate calculation for horizontal wells and shows that traditional formulas lead to significant errors. Calculations and graphs demonstrate depression drop because of gas flow friction. The authors emphasize the relevance of accurate flow rate calculation for horizontal wells with designs other than an open hole and propose improved methods considering friction forces of gas flow. The developed model can be used for various geological conditions, providing accurate well productivity prediction. This research provides practical solutions for optimizing horizontal well parameters and minimizing calculation errors.

Keywords: horizontal well; flow rate; permeability; dynamic fluid viscosity; reservoir pressure.
New composition for demulsification in downhole conditions
Authors:   Azerbaijan State Oil and Industry University, Baku, Azerbaijan, Abdullayev M. G.
Published: January 2025

Based on laboratory experiments on destruction of oil emulsions of various fields a new effective composition of demulsifier has been developed. The article investigates the demulsifying and inhibiting properties of the new composition for breaking oil emulsions. The known technologies were studied, and numerous experiments were carried out to investigate the new composition. The requirement of low density of components was fulfilled, which is an important property of the obtained composition, high demulsification at low consumption of the composition was achieved, and high inhibitory properties of this composition regarding well equipment were provided. The composition based on homogeneous mixture of polyethylene polyamine with rosin and methanol has low cost, is characterised by simplicity and ease of preparation. The proposed composition differs from many known demulsifiers by simplicity of preparation in field conditions, high efficiency. The developed composition provides sufficiently high results even at a small consumption compared to known demulsifiers, while its price is much cheaper. The proposed composition can also be used as a corrosion inhibitor. Economic efficiency of the proposed composition is achieved by reducing the concentration from 150 mg/l according to the prototype to 100 mg/l. In addition, the composition is easily prepared in field conditions, including offshore oil fields, and is also characterised by high inhibiting properties. When 0.1% of rosin is added to methanol, the inhibiting ability of methanol increases 5 times, i.e. it allows the composition to be used as a corrosion inhibitor in an aggressive environment with the presence of hydrogen sulphide.

Keywords: oil-water emulsion; demulsification; well; composition; rosin; methanol.
Improvement of the information system of remote monitoring of the technical condition of gas turbine engines
Authors:   Ufa State Petroleum Technological University, Ufa, Russia, Sharipov Sh. G. , Romanenkov P. G. ,   Ufa State Petroleum Technological University, Ufa, Russia, Shepshelevich E. S. ,   Ufa State Petroleum Technological University, Ufa, Russia
Published: January 2025

The implementation in the information system for remote monitoring (ISRM) of the technical condition of gas turbine engines (GTE) of a new method (hereinafter referred to as the Method) for early detection of deterioration in the technical condition of the rotor supports of a power turbine (PT) GTE is considered. The method is based on an expert rule, which analyzes the parameters of the engine oil system. The distinctive advantages of the Method are the possibility of use when atmospheric conditions and engine operating modes change, as well as its versatility. Automatic monitoring of the technical condition of the GTE in real-time mode and automated analysis of changes in the historical values of its operating parameters depending on time, performed in the ISRM, make it possible to timely identify the deterioration of the technical condition of engine components and carry out their maintenance or repair. The structure and graphical user interface of the ISRM are considered. The algorithm that implements the Method is described in detail, the script in which this algorithm is programmed, and the graphical user interface created to display and analyze the results of applying the Method are described. The procedure for testing the ISRM functionality created for the application of the Method using the historical values of the GTE parameters is outlined. The implementation of the Method in ISRM showed its openness and versatility for the implementation of new methods for diagnosing equipment using algorithms for analytical processing of the values of its operating parameters.

Keywords: remote monitoring of the technical condition; gas turbine engine; real-time mode; new method for assessing technical condition; implementation of the method; power turbine rotor support; early detection of faults; reduction of operating costs.
Construction of foundations for reservoirs in the Caspian sea
Authors:   «Oilgasscientificreserchproject» Institute, SOCAR, Baku, Azerbaijan, Aslanov L. F. ,   Azerbaijan University of Architecture and Construction, Baku, Azerbaijan, Aslanli U. L. ,   «Oilgasscientificreserchproject» Institute, SOCAR, Baku, Azerbaijan,   Azerbaijan University of Architecture and Construction, Baku, Azerbaijan, Aslanov F. L. ,   Azerbaijan University of Architecture and Construction, Baku, Azerbaijan
Published: January 2025

The development of oil and gas fields located in the shelf zones of seas and oceans is associated with the creation of a special infrastructure. This required the development and construction of special hydraulic structures, facilities and the development of technological processes that meet the conditions for organizing work on drilling, production and transportation of oil and gas from offshore fields. Ensuring the normal operation of offshore wells is associated with the development of the field, which requires the laying of underwater product pipelines, the construction of tank farms, installations for oil preparation and loading it into tankers, gas compressor and pumping stations, special installations for water purification and pumping it into the reservoir, etc. The intermediate section is made in the form of separate vertical piles, connected at the top by beams with reinforced concrete flooring laid on them. Large section bored piles are widely used in the various kinds of buildings. In the present article the manufacturing technique and principles for determining the bearing capacity of large section bored piles with a “hard core” were considered. Technological parameters of large section bored piles with a “hard core” are given in manufacturing in urban area hear existing buildings, and structures and also in the construction of offshore structures. The data on determination of bearing capacity of single bored piles with a “hard core” are discussed. It was established that these piles bear much larger horizontal and vertical loads, and are the most cost effective than precast and bored piles.

Keywords: Bored piles, “hard core”, soil resistance, casing pipe inventory, hanging pile grillage.
Advancing Renewable Energy: The Prospects of Hydrothermal Liquefaction (HTL) for Biomass into Bio-oil Conversion
Authors: Gronwald Frank , Wang Lijung
Published: January 2025

Hydrothermal liquefaction (HTL) offers a promising approach to convert biomass into bio-oil, contributing to sustainable energy solutions and reducing dependence on fossil fuels. HTL mimics natural geological processes by decomposing biomass at high temperatures (200–350°C) and pressures (10–25 MPa) in a water-based environment, producing bio-oil that can be refined for various energy applications. Despite its potential, several technical challenges limit the efficiency and scalability of HTL. The high energy requirements for maintaining these conditions also pose economic challenges, making HTL less competitive against traditional energy sources. HTL is the complex composition of bio-oil, which contains a mix of organic compounds that make refining and upgrading challenging. This complexity also affects bio-oil’s stability, requiring advanced purification techniques to ensure quality and usability. Solid residue formation during HTL reduces bio-oil yields and increases processing costs. Recent advances aim to address these limitations. New catalysts, such as metal oxides, improve bio-oil yield and reduce oxygen content, enhancing fuel quality. Innovations in reactor design, including continuous flow and microwave-assisted reactors, improve heat transfer and operational stability. Integrating HTL with other biomass conversion technologies, like anaerobic digestion, also offers pathways to increase efficiency and energy recovery. Advances in analytical techniques, like gas chromatography and mass spectrometry, are also improving bio-oil characterization, informing more effective upgrading strategies. While challenges remain, ongoing research in catalyst development, reactor optimization, and process integration strengthens HTL’s potential as a sustainable energy solution, supporting its role in advancing bio-oil production for a cleaner, renewable future.
Food Security and Agrotourism: Design and Construction of Elevated Pathways to Facilitate Urban Agriculture in Wetland Areas
Authors: Mañego Angelo , Punla Jr. Francis , Capili Jean Carla , Benedicto Kazeline , Fajardo Mark Kristofer , Alcaraz Robert Aljon
Published: January 2025

Food insecurity presents a critical global challenge, with developing countries disproportionately affected by its impacts. From 2020 to 2022, the Philippines reported the highest number of individuals experiencing moderate or severe food insecurity in Southeast Asia. Rapid urbanization exacerbates this problem by significantly increasing food demand in urban areas, particularly densely populated regions. As a highly urbanized locality, Malabon faces heightened risks due to its rising population and limited agricultural resources. This study addresses urban food insecurity by exploring the potential of Urban Agriculture, explicitly focusing on implementing the Baira Farming System in the wetlands of Dampalit, Malabon. Using a qualitative approach, the research involves interviewing stakeholders from the City Land Use, Planning Office, and the Local Government Unit to gather critical insights on land use policies and local socio-economic needs. Researchers perform a comprehensive review of relevant literature and conduct on-site observations to evaluate the feasibility of Urban Agriculture in urban wetland settings. By analyzing the correlation between data gathered and the unique environmental and social conditions of Dampalit, the study highlights the potential of Urban Agriculture to foster sustainable and resilient food systems in urbanized areas. This research underscores the significance of introducing accessible and adaptable agricultural practices to urban communities with limited traditional farming options. By integrating Urban Agriculture concepts, this approach addresses both food insecurity and sustainability challenges. The findings contribute valuable insights to the discourse on innovative agricultural practices, emphasizing the transformative role of sustainable solutions in mitigating food insecurity in rapidly urbanizing regions.
Awareness on data privacy vis-à-vis data management practices at a state university in Quezon province: Input towards data-driven policy and manual for good governance
Authors: Miano Leomar C.
Published: January 2025

This study investigated the relationship between awareness on data privacy and management practices at Southern Luzon State University (SLSU). Awareness on data privacy was gauged based on the provisions of the Data Privacy Act of 2012 (RA No. 10173) and its implementing rules and regulations, while management practices were examined using indicators such as collecting personal data, processing personal data, and sharing personal data. Through simple random selection, a survey questionnaire was distributed to SLSU staff, including teaching and non-teaching personnel. Three hundred eight (308) participants completed the survey, which was used for the data analysis using frequency, percentage, mean, t-test, ANOVA, and correlation. Based on the statistical result, in overall, the employees of SLSU previously read and somehow understood the statement of RA No. 10173 with a mean of 3.19. Moreover, the overall management practices of the employees toward data privacy were excellent. On the other hand, comparing the respondents' awareness and management practices when grouped according to the profile, among all the categories, only length of service significantly differed in management practices. Furthermore, there is a strong correlation between university employees' awareness of the Data Privacy Act and their data management practices, indicating that employees' great management practices are due to their knowledge of the Data Privacy Act. This study suggests that in order to adhere to the principles of good governance, the university may utilize this result for policy and the development of a data privacy manual.
Statistical-mathematical analysis of childhood caries in children between the ages of one and thirteen years as a function of diet and oral hygiene
Authors: Marín-Machuca O , Humala-Caycho Y. E. , Perez-Ton L. A. , Candela-Díaz J. E. , Marín-Sánchez U. , Rojas-Rueda M. , Jáuregui-del-Águila L.G. , Fuertes-Vicente H.G.
Published: January 2025

Objective. Determine was statistical mathematically the percentage (%) of prevalence of childhood caries in children between the ages of one and thirteen years as a function of diet and oral hygiene wearing the Empirical Modeling Theory of Bronstein & Semendiaev. Design. Correlational, predictive and transversal study. Participants. Patients from one year to thirteen years old were considered and distributed in four groups from one to four years old; from five to seven years old, from eight to ten years old and from eleven to thirteen years old; respectively. Twelve children have been considered in each group and we have worked with the average percentage of prevalence of each group; in which each average percentage of prevalence was contrasted with age during eight consecutive years. Main measurement. Each dispersogram showed that the first and third groups have similar behavior (sigmoidal or logistic) and groups two and four showed different behavior to groups one and three, but similar behavior between them (quadratic). Results. The statistical-mathematical analysis for groups one and three turned out tobe good, with coefficients of determination of r2=0,9752 and r2=0,9347respectively, and the relationship between time t(years) and the percentage (%) of prevalence of childhood caries (P), for children between 1 and 4 years old and 8 to 10 years old is real, there is a non-significant difference, the predictive models have high estimation, there is a "very strong correlation" between the elapsed time (t) and the percentage (%) of prevalence of childhood caries (P).Conclusions. The statistical-mathematical analysis for groups two and four proved to be good, with coefficients of determination of r2=0,9595 and r2=0,8562. respectively, and the relationship between time, t(years) and the percentage (%) of prevalence of childhood caries (P), for children between five and seven years and eleven to thirteen years, is real, there is a non-significant difference, the predictive models have high estimation, there is a "very strong correlation" between the elapsed time (t) and the percentage (%) prevalence of childhood caries (P).
Better Quantile Contour for Constructing Growth Charts
Authors: K. Ibrahim Marwa , Qutaiba N. Nayef Al-Qazaz
Published: January 2025

In this paper we going to comparison using Mean Absolute Error (MAE), among three nonparametric methods: Nadaraya-Watson (NW), B-Splines (BS) and Smoothing Spline (SS) which use to estimate quantile functions depending on the model of time-varying coefficient under the concept of depth in the bivariate case, to prepare for construct a better contours.
We used simulation study for construct two stages: first stage is to construct the simulation models for the three nonparametric methods and then comparison among them by using MAE, where the method that gives the least MAE is the best method, and the second stage is to plot the best method which given the best contour shape.
Where it was concluded that the BS is the best method because it's given a suitable contouring shape and less MAE which equal to 0.048 which will be used to plot best bivariate growth charts.
A Validation Study of the Higher-order Thinking Competency Diagnostic Tool through Item Analysis
Authors:   The Korean Society for Extra-curricular Education, Kang Jiyeon
Published: January 2025

The purpose of this study is to validate a diagnostic tool for assessing university students' Higher-order thinking competency through item analysis and to provide rational and valid evidence for its application in teaching and learning support. The final analysis was conducted using responses from 261 students in the natural sciences and engineering disciplines at A University. The results are as follows: First, basic statistical analyses confirmed that the model fit was appropriate. Second, item characteristics were examined using Classical Test Theory(CTT) and the Two-Parameter Item Response Theory(2-PL IRT), ensuring validity in terms of difficulty and discrimination. Third, the overall item analysis indicated that the Higher-order thinking competency diagnostic items aligned with the levels of difficulty established during the initial development phase. To effectively diagnose students' competencies, it is essential to develop diagnostic tools that are objective and valid, which can serve as a rational basis for non-curricular educational support aimed at enhancing foundational learning competencies. Unlike previous studies that were limited to basic statistical analysis or the development of self-reported items, this study is significant in developing and validating a high-level, objective diagnostic tool for Higher-order thinking competency. The findings of this competency diagnostic tool are expected to serve as fundamental data for establishing and implementing non-curricular educational support systems.
On Translation of English Synonymous Terms into Mongolian (With Examples of Standardized Terms)
Authors: Namsrai Munkhtsetseg
Published: January 2025

The study utilizes a corpus of 10,387 terms and definitions from 85 standards developed by the Institute of Language and Literature at the Mongolian Academy of Sciences (MAS) in collaboration with the Office of the National Council for Language Policy. There are 50 instances where two or more synonymous English terms are translated into a single term in Mongolian. These instances can be illustrated with examples and suggestions for correcting errors. Of these 50 cases, 30 involve cases where multiple English terms are translated as one term in Mongolian within a specific subject field or standard.Using incorrect or imprecise terminology can lead to misunderstandings regarding new knowledge, products, and services intended for consumers, which can ultimately result in unnecessary economic costs. Therefore, it is crucial to thoroughly review and update terminology standards to correct any inaccuracies.
Англи хэлний ойролцоо утгатай нэр томьёог монгол хэлнээ оноох асуудалд (Стандартчилсан нэр томьёоны жишээгээр)
Хураангуй: Энэхүү судалгаанд ШУА-ийн Хэл зохиолын хүрээлэнгийн Хэрэглээний хэл шинжлэлийн салбар болон Хэлний бодлогын үндэсний зөвлөлийн Ажлын албаны хамтран бүрдүүлсэн 85 стандартын 10387 нэр томьёо, тодорхойлолт бүхий хөмрөгийг хэрэглэгдэхүүн болгон ашигласан болно. Дээрх хөмрөгөөс англи нэр томьёо бүхий 32 стандартад англи хэлний хоёр ба түүнээс дээш нэр томьёог монгол хэлнээ нэг нэр томьёогоор оноосон 50 тохиолдол байна. Тэдгээрийг жишээ баримтаар баяжуулан тайлбарлаж, алдааг хэрхэн засаж залруулах талаар өөрийн саналыг дэвшүүлсэн болно. Дээрх 50 тохиолдлоос салбар дотор буюу нэг стандартад англи хэлний хоёр ба түүнээс дээш ойролцоо нэр томьёог монгол хэлэнд нэг нэр томьёогоор оноосон 30 тохиолдол байна. Стандарт, тэр дундаа нэр томьёоны стандарт цэгцрээгүй байх нь ухагдахууныг төөрөгдөл үүсгэх сөрөг талтай. Буруу оноосон, оновчгүй нэр томьёог стандартчилснаар хэрэглэгчдэд шинэ мэдлэг, бүтээгдэхүүн үйлчилгээний талаар буруу ташаа ойлголт өгч, аливаа салбарт үл ойлголцол үүсэх, түүнээс үүдсэн эдийн засгийн үр ашиггүй зардал бий болох шалтгаан болдог. Тиймээс нэр томьёоны стандартуудыг нарийвчлан судалж, шаардлага хангахгүй, буруу оноосон нэр томьёог засаж, сайжруулан стандартыг шинэчлэх зайлшгүй шаардлагатай байна.
Түлхүүр үг: стандартчилсан нэр томьёо, ойролцоо нэр томьёо, орчуулга, ухагдахуун, хам бичвэр, үүрэг
UX Design: aprendizaje significativo en estudiantes de Arquitectura, una aproximación de soluciones habitacionales para poblaciones vulnerables
Authors: Aguirre-Villalobos Erwin Robert , Ferrer-Mavárez María de los Ángeles , Valecillos-Pereira Janeth , Bustos-López Gabriela Ilución , Pino-Neculqueo María Eliana
Published: January 2025

El artículo evidencia los resultados de aplicar UX Design para fortalecer el aprendizaje significativo en estudiantes de Arquitectura mediante soluciones habitacionales para poblaciones vulnerables. Desarrollado en la Universidad Tecnológica Metropolitana de Chile, con apoyo de la University of Wisconsin-Milwaukee, el estudio abordó problemas complejos en contextos de alta vulnerabilidad social, enfocándose en familias migrantes. Los estudiantes crearon propuestas inclusivas e innovadoras adaptadas a las necesidades de la población. Los resultados destacaron el desarrollo de competencias disciplinares con un enfoque situado e innovador, mejorando el aprendizaje y promoviendo una formación profesional integral y contextualizada para futuros arquitectos.
PENGARUH PENAMBAHAN IKAN JENGGELEK (Rachycentron canadum) TERHADAP KARAKTERISTIK KIMIA DAN ORGANOLEPTIK PADA PRODUK MIE KERING
Authors: Ilhami Maylina , Nisak Khoirun
Published: January 2025

Mie kering adalah jenis produk mie yang mengalami penurunan kadar air  karena adanya proses pengukusan dan pengeringan hingga 8-10%. Mie kering mengandung protein masih tergolong rendah yang diperoleh dari sebagian besar yaitu protein nabati sebanyak 8,51%. Karena itu penambahan bahan lain berupa ikan sebagai sumber protein hewani untuk meningkatkan kandungan protein pada mie kering. Salah satu hasil laut, Ikan Jenggelek (Rachycentron Canadum )merupakan ikan tinggi akan protein, vitamin, serta mineral seperti vitamin yang terkandung didalamnya yaitu vitamin B kompleks, vitamin D, zat besi, kalsium, dan zinc. Selain itu ikan jenggelek memiliki kandungan yang khas yaitu tinggi akan Omega-3 pada lemak tak jenuh. Mie kering dengan tambahan ikan jenggelek diharapkan mampu meningkatkan kandungan gizi. Metode penelitian ini menggunakan Rancangan Acak Lengkap dengan konsentrasi ikan jenggelek (100g, 200g, 300g, 400g, 500g). Hasil uji organoleptik yang paling disukai adalah perlakuan A2 dengan kadar protein 8,89% dan kadar lemak 1,10%
COMPARISON OF MACERATION AND SOCKLETATION EXTRACTION METHODS ON FLAVONOID CONTENTS OF BELUNTAS LEAF EXTRACT
Authors: Aulia Firda Alfiana  , Handik Hendratama  , Diana Novita Sari  , Alifatun Nada
Published: January 2025

This research aims to analyze the flavonoid compound of beluntas leaves (Pluchea indica L) using maceration and soxhletation extraction methods. Extraction uses 96% methanol solvent with a ratio of 1:10, 1:15, 1:20 w/v and with a soxhletation extraction time of 60 minutes, 120 minutes, 180 minutes at a temperature of 80oC, while the maceration time is 3 days at room temperature. Qualitative testing of flavonoid compounds uses the Shinoda test which is characterized by a change in the color of the sample to yellow or red-orange. The test results of all samples used showed the presence of flavonoid compounds which were characterized by changes in the color of the samples from yellow to red-orange. The research results showed that the best flavonoid content using the maceration extraction method was 51.52 mg QE/g at a ratio of 1:20 w/v, while the flavonoid content using the soxhletation extraction method was 53.96 mg QE/g at a ratio of 1:20 w/v.
Analysis of the Implementation of Public Service Standards at the District Level
Authors: Muin Sri Adrianti , Sholichah Anis , Mujahid Mujahid
Published: January 2025

Service Standards are benchmarks used as guidelines for service delivery and as references for assessing service quality, representing the obligation and commitment of service providers to the community in delivering quality, fast, easy, affordable, and measurable services. This study aims to determine and analyze the implementation of public service standards in Penajam Sub-District, Penajam Paser Utara District. The research adopts a qualitative descriptive approach method. Data in this study consist of primary and secondary data, which were analyzed qualitatively, leading to drawn conclusions. Primary data were obtained through in-depth interviews with informants at the Penajam Sub-District Office, including the Sub-District Head, General Affairs Subsection Head, Section Heads, Sub-District Employees/Staff, and service users from the community. The findings of the research are as follows: 1) The overall implementation of public service standards in Penajam Sub-District is reasonably good and sufficiently satisfying to the community. However, there is still a need for improvement and enhancement in the quality of public service implementation; 2) The preparation, establishment, and implementation of Service Standards in Penajam Sub-District have adhered to the principles outlined in Regulation of the Minister of Administrative Reform and Bureaucratic Reform Number 15 of 2014, including simplicity, accountability, sustainability, and fairness. However, they have not yet fully incorporated participatory and transparent elements; 3) There are several types of services with detailed per-component service standards that have not been established in the Decree of the Penajam Sub-District Head, Penajam Paser Utara District Number: 060/129/Kec.PNJ-Umum/XI/2023 regarding the Establishment of Service Standards in Penajam Sub-District; 4) Subsequent socialization efforts related to the established Penajam Sub-District Service Standards have not been conducted, thus affecting the understanding of service officers regarding public service implementation; 5) Publication efforts concerning Penajam Sub-District Service Standards have not been undertaken through electronic or non-electronic media.
Testemunhas de Jeová e recusa pela transfusão sanguínea: uma revisão narrativa sobre os aspectos éticos e jurídicos
Authors: Ferreira Chrystiano de Campos , Azevedo Jenilson Reis de , Azevedo Joselane Schereder Reis de , Conesuque Kaio Leonardo , Valente-Aguiar Murilo , Ferreira Herika Rangel , Leite Jose Otacilio
Published: January 2025

Introdução: as Testemunhas de Jeová, um grupo religioso fundado no final do século XIX por Charles Russell, têm como um de seus pilares a rejeição de práticas que consideram incompatíveis com os ensinamentos bíblicos, destacando-se a recusa à transfusão de sangue. Baseada na interpretação literal de passagens bíblicas como Atos 15:29 e Levítico 17:10-14, essa prática gera implicações éticas, jurídicas e sociais, especialmente em contextos médicos, onde a transfusão é muitas vezes essencial para salvar vidas. Este estudo analisa os aspectos éticos e jurídicos dessa recusa, focando na relação entre liberdade religiosa, autonomia individual e direito à saúde. Metodologia: A pesquisa foi realizada por meio de uma revisão narrativa da literatura, abordando artigos científicos e jurisprudências do Supremo Tribunal Federal (STF) e do Superior Tribunal de Justiça (STJ). Resultados: durante a busca, foram encontrados 248 artigos, dos quais 16 foram selecionados, junto a jurisprudências relevantes. Discussão: a recusa à transfusão de sangue, sustentada por interpretações bíblicas, representa um dilema ético, especialmente em situações de risco de vida, quando os direitos à autonomia e à saúde entram em conflito. A análise revelou que as Testemunhas de Jeová fundamentam sua recusa em passagens que proíbem o consumo de sangue. O estudo também discutiu a jurisprudência brasileira, que tem priorizado a preservação da vida, muitas vezes em detrimento da liberdade religiosa, como demonstrado em decisões que autorizam transfusões contra a vontade do paciente. A recente decisão do STF, que reconhece o direito das Testemunhas de Jeová adultas e capazes de recusar transfusões, com alternativas viáveis, marca um avanço na proteção da autonomia religiosa. No entanto, para menores, prevalece o princípio do melhor interesse à saúde. Conclusão: conclui-se que, apesar do avanço legislativo, é necessário equilibrar a proteção à liberdade religiosa com a preservação da saúde e da vida, garantindo alternativas médicas viáveis.
Ajustes curriculares como ferramenta facilitadora para a inclusão escolar de crianças com Transtorno do Espectro Autista
Authors: Silva Juliane Salustino da , Varanda Cristina de Andrade , Alves Hélio , Lemos Daisy Inocencia Margarida de
Published: January 2025

Este estudo aborda os ajustes curriculares como ferramentas essenciais para a inclusão escolar de crianças com Transtorno do Espectro Autista (TEA) e destaca o papel do psicopedagogo como agente facilitador desse processo. Foi realizada uma pesquisa bibliográfica para explorar as características do transtorno, que envolve alterações no neurodesenvolvimento, com déficits de comunicação e interação social em diferentes contextos. Também se analisa a legislação brasileira sobre inclusão, o conceito de currículo escolar, as intervenções para crianças com autismo e a contribuição da psicopedagogia para o desenvolvimento de habilidades e a aprendizagem. O método utilizado foi a revisão narrativa da literatura, fundamentada na análise de conteúdo de Bardin (2016). Foram consultados artigos científicos, pesquisas em bases de dados, trabalhos acadêmicos e documentos oficiais do Ministério da Educação sobre inclusão escolar e práticas psicopedagógicas. Os resultados destacam que a atuação psicopedagógica deve ocorrer em parceria com outros profissionais que atendem a criança, considerando suas necessidades individuais. As intervenções no currículo escolar e as práticas psicopedagógicas precisam ser adaptadas para estimular o interesse pela aprendizagem e favorecer o desenvolvimento dentro das possibilidades de cada criança. Por fim, evidencia-se que o psicopedagogo desempenha um papel fundamental na inclusão escolar de crianças com autismo, sendo essencial para a elaboração e aplicação dos ajustes curriculares necessários.
Kalanchoe pinnata: fitoquímica, bioatividade e potencial alimentício
Authors: Santos Jéssica Juliane Furtado , Moreira Ricardo Felipe Alves
Published: January 2025

A espécie Kalanchoe pinnata é uma planta medicinal naturalizada que é muito utilizada na medicina popular no Brasil. Em vista disso, este estudo buscou realizar uma revisão da literatura sobre a composição química dessa planta e sobre suas propriedades bioativas e alimentícias. O levantamento bibliográfico foi efetuado nas bases de dados Pubmed, Scielo, Google Acadêmico e Portal de Periódicos da Capes, incluindo trabalhos dos últimos dezoito anos. Os estudos demonstraram que a K. pinnata é uma planta alimentícia não convencional (PANC) cuja bioatividade, principalmente sua capacidade antioxidante, está associada à presença de compostos fenólicos, especialmente flavonoides. Outro grupo cuja bioatividade se destaca é o dos esteroides conhecidos como bufadienolídeos. A ampliação dos estudos acerca da constituição química, bioatividade e potencial alimentício de plantas como a Kalanchoe pinnata pode incentivar o uso seguro dessas PANCs, diversificanto a alimentação brasileira e melhorando a saúde da população.
Characterization of the D-Monomer of HbAg focusing on the development of biosensors for environmental contamination
Authors: Sebastião Isis , Souza Claudemir Oliveira , Ramos Lierge , Morgante Patrícia Gleydes , Santiago Patrícia Soares
Published: January 2025

Analyzing individual protein chains from a complex provides critical insights into the mechanisms of protein assembly. Biophysical techniques such as spectroscopy are widely employed for protein characterization due to their simplicity and rapid data acquisition capabilities. In this study, the initial characterization of the HbAg monomer d was performed using UV-Vis absorption spectroscopy, fluorescence spectroscopy, and light scattering measurements (LSI). Two experimental approaches were undertaken: one involved examining the properties of monomer d across various pH levels, and the other focused on investigating its interaction with the surfactant sodium dodecyl sulfate (SDS). During pH variation studies, auto-oxidation of the Heme group was observed at pH levels above 9.0. Fluorescence intensity measurements showed increased fluorescence at alkaline pH, correlating with enhanced molecular unfolding or denaturation. LSI data revealed elevated values at pH 5.0 and 9.0, below and above the monomer’s isoelectric point (pI = 7.1), potentially indicating dimer formation of the d-chain. In experiments involving SDS, Heme group oxidation began at SDS concentrations of 4.0 mmol L⁻¹. At lower SDS concentrations (1.2 mmol L⁻¹), fluorescence intensity progressively increased, suggesting initial stages of molecular unfolding or denaturation. Variations in LSI readings were attributed to aggregation phenomena, including interactions between monomer d and SDS molecules and the presence of self-aggregated monomers in solution. These data hold significant relevance as they can support the development of research with an applied focus, aligned with the objectives of our working group, such as the development of optical biosensors for detecting environmental contamination.