bluuebunny/crossref_metadata_2025 huggingface dataset:
A Smart Irrigation System Using the IoT and Advanced Machine Learning Model
Authors: Roy B.P Upendra , Sattar Khalid Nazim Abdul , Elngar Ahmed A.
Published: February 2025

The increasing global demand for efficient water management has underscored the importance of smart irrigation solutions in agriculture. This research introduces a Smart Irrigation System that integrates the Internet of Things (IoT) with an advanced Machine Learning (ML) framework to optimize water usage while ensuring sustainability. The proposed model employs an ensemble of Decision Tree Classifier (DTC) and Random Forest Classifier (RFC) algorithms to analyse critical environmental parameters, including soil moisture, temperature, pH value, and soil variants. Utilizing the meticulously processed Great Time dataset for training and evaluation, the model demonstrates exceptional applicability across diverse agricultural scenarios. Traditional irrigation models exhibit lower accuracy and limited adaptability to varying environmental conditions, creating a need for more robust and efficient approaches. Addressing this gap, the IoT-enabled system leverages real-time data from connected devices and advanced analytics to adapt to dynamic environmental changes. By offering precise irrigation scheduling, the proposed framework promotes resource-efficient water usage, contributing to sustainable farming practices. The ensemble model achieved an impressive accuracy of 98.7%, significantly outperforming conventional methods while maintaining computational efficiency. This study highlights the strength of combining IoT and ML to advance agricultural practices. Experimental outcomes emphasize the scalability, robustness, and reliability of the proposed model, presenting it as a viable solution to tackle water scarcity challenges and enhance crop productivity sustainably.
Smart IoT based health care environment for an effective information sharing using Resource Constraint LLM Models
Authors: Kumar Metti Vinodh , Ramesh G.P.
Published: February 2025

The integration of Internet of Things (IoT) technologies with Healthcare system(HS) has revolutionized patient monitoring, diagnosis, and treatment. Effective information sharing in such systems is hindered by resource constraints, including limited computational capacity, energy consumption, and the need for real-time data processing. Existing systems often struggle to deploy large-scale language models (LLMs) in resource-constrained environments, limiting their ability to analyse and communicate critical healthcare information effectively. To resolve these issues, this study recommends a Smart IoT-based Health Care environment utilizing a lightweight BERT (Bidirectional Encoder Representations from Transformers) model for efficient and scalable information sharing. By optimizing BERT for resource-limited IoT devices, the proposed system ensures real-time processing of patient data while maintaining accuracy and efficiency. The system was examined by utilizing the MIMIC-III clinical dataset, focusing on real-time health monitoring and communication between connected devices. Results demonstrated improved computational efficiency, reduced latency, and enhanced accuracy in extracting and sharing critical healthcare information. This innovative approach bridges the gap between IoT and healthcare by providing a resource-efficient solution for intelligent information sharing.
Another Euler Constant: The Value of an Euler Integral
Authors: Allouche Jean-Paul
Published: February 2025

We show many occurrences in various contexts of the constant

E

u

:
=

π

2

4

log
2
-

7
8

ζ

(
3
)

=
2.507907542

{E_u}: = {{{\pi ^2}} \over 4}\log 2 - {7 \over 8}\zeta \left( 3 \right) = 2.507907542

... Since this constant is related to an integral studied by Euler, we propose to name it after Euler.
Nitric oxide delivery into oxygenators of artificial and assisted blood circulation. Current state and prospects of technology development (literature review)
Authors: Barygin E. K. , Marichev A. O. , Radovskiy A. M. , Osovskikh V. V. , Afanasyeva K. Yu. , Kozyrev D. A. , Chomahashvili I. G. , Ablesimov G. N. , Pichugin V. V. , Domnin S. E. , Bautin A. E.
Published: February 2025

The use of cardiopulmonary bypass (CPB) technologies is often associated with ischemic and re-perfusion injury to the myocardium. The contact of patient’s blood with the surface of the extracorporeal circuit leads to platelets activation and often triggers a systemic inflammatory reaction. Nitric oxide (NO) is a signal molecule produced by the endothelium of blood vessels. Under normal circumstances, it prevents excessive activation and aggregation of platelets, thus providing an organ-protective effect. Currently, there is a considerable amount of data available about positive effects of use of inhaled NO. Nitric oxide delivery into oxygenators of artificial and assisted blood circulation. However, there is a limited amount of publications on effects of NO delivery into gas circuit of oxygenators of artificial and assisted blood circulation. The objective of this article was to summarize currently available information about effects of NO delivery into extracorporeal circuits oxygenators through extensive literature review.
Experience of using composite Z-score to assess delayed cognitive recovery in elderly patients who underwent surgery for colorectal cancer under intravenous or inhalation anesthesia. A prospective observational pilot study
Authors: Dushin I. N. , Tetenich A. A. , Kazantceva M. O. , Kotov A. A. , Emelkina A. V. , Haustov R. I. , Savina E. N. , Subbotin V. V.
Published: February 2025

Introduction. Perioperative cognitive disorders (POCD) represents a risk for elderly patients. Currently, there is no uniform and standardized methodology for the identification of POCD in the existing literature. Additionally, there is an ongoing debate regarding the optimal anesthetic option for geriatric patients.

The objective was to compare the incidence of delayed cognitive recovery depending on the main component of anesthesia in patients operated for colorectal cancer using composite Z-scores.

Materials and Methods. The study cohort comprised 31 patients who underwent surgical treatment for colorectal cancer under inhalation or intravenous anesthesia. The inclusion criteria were as follows: age over 60 years, planned surgical intervention of more than 180 minutes, absence of neurodegenerative, psychiatric diseases, cerebrovascular accident (CVA), diabetes mellitus in the anamnesis, and compliance with ASA class II or III. Neuropsychological testing was conducted preoperatively and on the fourth or fifth postoperative day. Delayed cognitive recovery was defined as a decrease in the composite Z-score of more than one standard deviation (SD) in comparison to the preoperative assessment.

Results. Delayed cognitive recovery in the group where sevoflurane was the main component exhibited in two patients (12.5%). In contrast, this complication was not observed in the group where propofol was the main component (p = 0.484). When using propofol, the delta of the composite Z-score was statistically significantly better – 0.306 [0.078; 0.484] than when using sevoflurane – –0.121 [-0.556; 0.022] (p = 0.001), which indicated a faster recovery of cognitive functions in the postoperative period.

Conclusion. The results of neuropsychological tests on patients who underwent surgical interventions with propofol as the main component were more similar to the results of preoperative assessments. This suggests a faster recovery of cognitive function in the postoperative period.
The foreign policy behavior of the state in the theory of neoclassical realism: on the example of Romania
Authors: Dragan D. G.
Published: February 2025

Applying the methodological means of neoclassical realism theory, the article analyzes the foreign policy of Romania in 1989–1992. In the first part, the author estimates the main theoretical principles of the theory. When comparing neorealism with neoclassical realism, the main principles of the latter are emphasized. In the second and third parts, the author undertakes an effort to apply a three-tier model – international, state, individual – in order to determine the possible reasons and motives behind a state’s actions, particularly those of Romania, in the international arena. On the example of this country, the author, thus, compares external factors (threats and challenges as a whole) and the state’s responses to them. The leader’s motives (understanding and interpretation of challenges) in the decision-making process are also taken into consideration. The author comes to the conclusion that, when analyzing a country’s foreign policy, the theory can be applied since it allows to explain empirical events.
Patrones de lesión de sospecha de feminicidio descritos en necropsias de muertes violentas de mujeres realizadas en Regional Suroccidente de la Unidad Básica de Cali del Instituto Nacional de Medicina Legal y Ciencias Forenses entre los años 2018-2020
Authors: González Erazo María Vanesa , Araujo Navas María Valeria , Rodríguez Morales Yolibeth , Herrera Cano Gloria Stella , Plaza Patiño Óscar Alonso
Published: February 2025

El objetivo fue caracterizar los patrones de lesión en muertes violentas con sospecha de feminicidio, realizados en la Unidad Básica de Cali entre los años 2018-2020. Se realizó una investigación descriptiva, retrospectiva de corte transversal, con fuentes secundarias. Se analizaron 231 informes de necropsia de muertes violentas con sospecha de feminicidio entre los años 2018 a 2020, realizadas en la Unidad Básica de Cali del Instituto Nacional de Medicina Legal y Ciencias Forenses. Se consideraron como variables las características sociodemográficas de las víctimas, características de los hechos, hallazgos de necropsia, patrones de lesión, signos de desfeminización/despersonalización y otros patrones. Se utilizó EpiInfo v.7.2 para el procesamiento de la información, seguido por un análisis exploratorio para identificar datos faltantes y asegurar la calidad de la base de datos y un análisis descriptivo por medio de IBM SPSS Statistics versión 28. Esta Investigación se clasifica sin riesgo según la Resolución 8430/1993. En los resultados, la mediana de edad fue de 28 años, se identificaron diferentes mecanismos de lesión en el 28.4% de los casos, el patrón overkill (sevicia) (8.2%), heridas desfigurantes en la cara (9.8%), heridas de defensa (13.4%). En conclusión, existen patrones de lesión, se requiere continuar investigando para establecer un método o parámetros para abordar este tipo de casos con el fin de acercarnos a una conclusión de feminicidio en el ámbito forense y orientar a las autoridades.
Evaluación de una intervención educativa nutricional en pacientes con síndrome metabólico del ámbito rural
Authors: Martínez Contreras Eneida Mercedes , Almeida Perales Cristina , García Zamora Pascual , Ruiz de Chávez Ramírez Dellanira , Franco Trejo Christian Starlight
Published: February 2025

Introducción: las acciones de educación para la salud tienen la finalidad de dotar a la población de información y conocimientos que conduzcan a la modificación positiva de conductas relacionadas con su salud. Objetivo: Evaluar una intervención educativa en pacientes adultos con síndrome metabólico de zona rural de Zacatecas. Metodología: estudio cuasi-experimental y comparativo. Participaron dos grupos de estudio: intervenido y no intervenido. Se recopiló información sociodemográfica, alimentación e indicadores antropométricos y bioquímicos. La intervención consistió en asesoría nutricional personalizada durante seis semanas. Se compararon los niveles antropométricos y bioquímicos iniciales y finales de ambos grupos. Se aplicó la prueba Wilcoxon con α=0.05. Resultados: Se tuvo la participación de 20 personas en el grupo intervenido y 12 en el grupo no intervenido, prevaleció el sexo femenino, edad promedio de 50 años. La comparación de las medias iniciales y finales del grupo intervenido obtuvieron significativa estadística (p≤0.05) en el peso, índice de masa corporal; circunferencia de cintura, glucosa y triglicéridos. Mientras que en el grupo opuesto aumentaron estos indicadores. Discusión: Los resultados obtenidos fueron similares a otras intervenciones llevadas a cabo en adultos. Conclusión: La intervención fue positiva, contribuyó en la atención de población vulnerable. Se recomienda dar seguimiento mediante acciones de educación para la salud.
Nivel de Conocimientos sobre el Cáncer y Autoexploración Testicular en estudiantes de una Universidad Pública del Puerto de Veracruz
Authors: López Ocampo Miguel Ángel , Castellanos Contreras Edith , Salazar Mendoza Javier , Velázquez García Emanuel Alejandro , Castro Jota Martina , Méndez Cordero Ernestina
Published: February 2025

Introduccción: En la actualidad el cancer testitular es una de las grandes afecciones a nivel mundial en hombre, lo que conlleva a una grave problemática de salud pública. Objetivo: Determinar el nivel de conocimientos sobre el cáncer y autoexploración testicular en estudiantes de una universidad pública del Puerto de Veracruz. Metodología: Investigación de diseño no experimental, enfoque cuantitativo, tipo descriptivo y corte transversal. Instrumento “Cuestionario auto administrado sobre conocimientos, actitudes y prácticas en relación con el cáncer y la autoexploración testiculares” con un Alfa de Cronbach de 0.723. Resultados: Se obtuvo que el 74.5% de la muestra estudiada cuenta con un nivel alto de conocimientos sobre el cáncer y la autoexploración testicular. Discusión: Los estudios de Gonzáles et al (2019), y Ugwumba et al (2018), predominaron altos niveles de conocimientos al igual que la presente investigación, mientras que, en los estudios de Becerril et al (2021), y Dhakal et al (2021), prevalecieron bajos niveles de conocimientos. Conclusión: Se concluye que la población de estudio cuenta con un nivel alto de conocimientos sobre el cáncer y la autoexploración testicular, es necesario conocer el nivel en el que se practica.
Métodos de determinación de residuos de disparo que pueden aplicarse al sistema criminalístico de la Policía Nacional del Perú
Authors: Portilla S Andy J
Published: February 2025

Los residuos de disparo son uno de los indicios más importantes en una investigación forense cuando suceden hechos delictivos por acción de un arma de fuego. En el presente artículo se realizó el estudio de las principales técnicas instrumentales para la determinación de GSR, teniendo en cuanta la precisión, reproducibilidad, sensibilidad y coste que ofrecen. Las técnicas que se analizaron fueron la espectrofotometría de absorción atómica, la microscopia electrónica de barrido y la espectrometría de plasma de acoplamiento inductivo. Las tres técnicas estudiadas ofrecen buenos resultados en la determinación de GSR; sin embargo, la microscopia electrónica de barrido permite caracterizar residuos de disparo según su morfología (tamaño y forma), discriminando partículas por contaminación y conservando la muestra, lo cual permite un reanálisis y minimiza la obtención de falsos positivos y falsos negativos; mientras que la absorción atómica ofrece una cuantificación específica de cada elemento y el ICP proporciona un análisis de varios elementos a la vez. La elección de aplicación de la técnica dependerá de la Policía Nacional del Perú, según las necesidades y alcances que requiera.
Pengaruh Efikasi Diri Terhadap Perilaku Kewirausahaan Petani Muda Hortikultura di Sentra Agribisnis Provinsi Jawa Barat
Authors: Wibawa Mukti Gema , Budi Kusumo Rani Andriani , Rochdiani Dini
Published: February 2025

This study aims to analyze entrepreneurial behavior that is influenced by self-efficacy in young horticultural farmers in agribusiness centers in West Java. This research was conducted at the horticultural agribusiness center in West Java Province which includes three districts, namely Bandung Regency, Garut Regency and Cianjur Regency. The location selection takes into account the characteristics of the area, the activities and existence of young farmers in their business, the participation of agricultural stakeholders in developing entrepreneurship in agriculture in these areas and there is a network of young farmers that is starting to develop. The research design is quantitative, which is to determine the effect of self-efficacy on entrepreneurial behavior of young farmers. The young farmers who became the sample were 200 people, with certain criteria. The confidence of young farmers in their own ability to run a business has a significant influence on the development of entrepreneurial behavior. Efforts to develop young farmers must of course be made by all parties involved. All actors involved in the horticultural agricultural ecosystem must work together and collaborate to improve the ability of farmers in running their business, so as to encourage farmers to adopt entrepreneurial behavior in farming and it is hoped that their business can grow and develop better.
DA LITERATURA AO CINEMA: REPRESENTAÇÕES PÓS-COLONIAIS EM O ÚLTIMO VOO DO FLAMINGO
Authors: Xavier Lola Geraldes
Published: February 2025

Mia Couto publicou o romance O último voo do flamingo, em 2000. Em 2010, é lançado o filme homónimo de João Ribeiro. Apesar de utilizarem linguagens diferentes, ambos os autores colocam a nu um olhar descolonizado sobre Moçambique. Assim, com este texto, pretende apresentar-se as relações entre o filme e o romance homónimo, interligando ficção e história. Dar-se-á destaque à forma de adaptação, a partir da representação do espaço e do tempo em ambos os códigos artísticos, com o objetivo de destacar o processo difícil de descolonização da sociedade moçambicana. As representações pós-coloniais serão analisadas na óptica da interdiscursividade, afastamento do cânome ocidental através do realismo mágico e sentido de alteridade. Conclui-se, no final, que a longa metragem de João Ribeiro adapta o texto de Mia Couto, expondo o olhar cinematográfico sobre a história de Moçambique, não descurando uma poética visual de captação do mundo tradicional, já presente em Mia Couto. Através da representação do espaço e do tempo, ambas as linguagens artísticas se apresentam como um contradiscurso à cultura europeia, privilegiando a alteridade e contribuindo para a construção de uma identidade moçambicana.
Orbitally Stability of Log-Logistic Autoregressive Model with Application
Authors: A. Hamad Mohammed , A. Mohammad Azher
Published: February 2025

This research aims to study and finding the conditions for stability of the limit cycle of the proposed model (Log-Logistic autoregressive) based on the cumulative function of the Log-Logistic distribution. We first proved the conditions for the first order orbital stability with period ( ), and then generalized the conditions for orbital stability of order p to Log-Logistic AR (p). We give some examples of the proven conditions, and then we plot the trajectories by using different initial values.
Bioactivity of Gold Nanoparticles Synthesized from Lion's Mushroom on Multidrug-Resistant (MDR) ESKAPE Bacterial Isolates
Authors: Hatem Sultan Ammar , F. Saleh Reyam
Published: February 2025

The current study aims is to evaluate the antibacterial activity of gold nanoparticles manufactured using the green method from aqueous extract of lion's mane fungus against multidrug-resistant (MDR) ESKAPE group isolates, which included Staphylococcus aureus, Pseudomonas aeruginosa, Acinetobacter baumannii, Enterococcus faecalis, Escherichia coli, and klebsiella pneumoniae. Antibiotic resistance is one of the biggest threats to public health around the world, and to treat this, many therapeutic alternatives are being used, including the use of nanotechnology to create nanoparticles. During this study, isolates from the ESKAPE group were diagnosed and a sensitivity test to five antibiotics was performed, in addition to the synthesis of gold nanoparticles and their examination using several techniques, including an ultraviolet-visible spectroscopy device, an Fourier transmission infrared (FTIR) spectroscopy device, and a scanning electron microscope (SEM). And determine the inhibitory activity of nanoparticles against bacterial isolates. The green synthesis of gold nanoparticles (AuNPs) was accomplished using an aqueous extract of lion's mane mushroom. Tests confirmed that the formed particles have high absorbance at a wavelength of (540 nm). It was observed using a scanning electron microscope that the nanoparticles are spherical in shape and with nano sizes ranging from (20.77 to 29.37 nm). As for the FTIR examination, the range is between (447.49 cm-1 - 3398.57 cm-1). The results of the current study showed that the biosynthesized AuNPs possess antibacterial activity against ESKAPE group isolates, with inhibition diameters ranging from (9 mm – 21 mm).
Geometrical Analysis of the Asos and Dokan Anticlines in Imbricated and High Folded Zones of the Zagros Fold-Thrust Belt, Iraqi Kurdistan Region
Authors: H Syan Soran , Amir Omar Abdulla
Published: February 2025

The Asos and Dokan anticlines are situated in the Imbricated and High Folded zones, respectively, in the NW segment of Zagros Fold and Thrust Belt within the Kurdistan Region of Iraq. The balanced section across these structures was constructed manually on the graph-paper by employing the kink-band methods and restored to their pre-deformed shape, the constructed balanced cross-section was constrained by integrating intensive surface geological observations and available subsurface seismic sections. The study aims to understanding the geometry of the structures as well as fold and fault architecture at depth. The structures are slightly asymmetrical with steeper forelimb and wide crestal region. The average horizontal shortening values of the Dokan and Asos anticlines are (7.21 %) and (17.05 %) respectively, and the fault-related shortening decrease upsection. The Asos anticline exhibits greater fault-related shortening values compared to the Dokan structure due to higher deformation intensity via thrusting processes. The studied section implies that the structures representing thrust-related anticline and the Dokan anticline show pop-up geometry, while Asos exhibits imbricate fan thrust.
An Enhancement of Text Encryption Algorithm with Hybrid Two-Square Cipher and Columnar Transposition Cipher
Authors:   Computer Science Department, Pamantasan ng Lungsod ng Maynila, Philippines, Ostia Mary Grace , Crisostomo Alessa ,   Computer Science Department, Pamantasan ng Lungsod ng Maynila, Philippines, Lucas David Jhozel ,   Computer Science Department, Pamantasan ng Lungsod ng Maynila, Philippines, Atienza Francis Arlando ,   Computer Science Department, Pamantasan ng Lungsod ng Maynila, Philippines, Dioses Raymund ,   Computer Science Department, Pamantasan ng Lungsod ng Maynila, Philippines, Guialil Jamillah ,   Computer Science Department, Pamantasan ng Lungsod ng Maynila, Philippines, Mahusay Leisyl ,   Computer Science Department, Pamantasan ng Lungsod ng Maynila, Philippines, Morano Jonathan ,   Computer Science Department, Pamantasan ng Lungsod ng Maynila, Philippines
Published: February 2025

Purpose–Enhance the Two-Square Cipher's effectiveness by developinganalgorithmto address vulnerabilities in plaintext variations, character set limitations and encryption performance.

Method –Proposedadjustmentsincludeexpandingthegridto14x14,usingtableshuffling instead of random character insertion, and strategically inserting random special characters in odd-length plaintexts.

Results –The algorithm demonstrated improved encryption, producing more random ciphertext sequences and successfully recovering original characters during decryption.

Conclusion –The developed algorithm outperforms the current Two-Square Cipher, enhancing encryption security and adaptability to different plaintexts.

Recommendations –Further enhance the algorithm to address specific issues such as character transformation, while maintaining the grid size at 14x14.

Research Implications –Contributes to advancing cryptographic techniques, highlighting the importance of addressing vulnerabilities in existing ciphers to strengthen data security.

Keywords –two-square cipher, columnar transposition, text encryption, cryptography, block and stream cipher
An Enhancement of Support Vector Machine in Context of Sentiment Analysis Applied in Scraped Data from Tripadvisor Hotel Reviews
Authors:   College of Information Systems and Technology Management, Pamantasan ng Lungsod ng Maynila, Philippines, Dela Cruz Lambert , Racelis Marjorie Jasmine ,   College of Information Systems and Technology Management, Pamantasan ng Lungsod ng Maynila, Philippines, Agustin Vivien ,   College of Information Systems and Technology Management, Pamantasan ng Lungsod ng Maynila, Philippines, Guialil Jamillah ,   College of Information Systems and Technology Management, Pamantasan ng Lungsod ng Maynila, Philippines, Hill Gabriel ,   Senior Software Engineer, Accenture, Philippines, Mahusay Leisyl ,   College of Information Systems and Technology Management, Pamantasan ng Lungsod ng Maynila, Philippines, Morano Jonathan ,   College of Information Systems and Technology Management, Pamantasan ng Lungsod ng Maynila, Philippines
Published: February 2025

Purpose–The purpose of this study is to improve the efficiency and accuracy of sentiment analysis in the context of hotel reviews, thereby contributing to the advancement of machine learning and natural language processing fields.

Method–The study employs an Enhanced SVM algorithm, incorporating SMO, Random Search, and SMOTE, to address issues of long training time, hyperparameter optimization, and imbalanced data.

Results–The Enhanced SVM outperforms the Traditional SVM, with a 13.48% increase in accuracy, a 100.42% reduction in training time, and improvements of 11.5% and 8.5% in Precision and F1-Score, respectively.

Conclusion–The study successfully enhances the SVM algorithm, providing a more effective tool for sentiment analysis in the context of hotel reviews, with significant improvements in performance metrics.

Recommendations–Future researchers should explore advanced optimization methods for hyperparameter tuning, use additional linguistic features like semantic analysis and context-aware embeddings, and incorporate sarcasm detection. Furthermore, consider deep learning models and ensemble approaches, combining SVM with other algorithms. Lastly, advocating for real-time sentiment analysis is suggested for immediate customer feedback insights.

Research Implications–The study offers valuable insights into the application of machine learning techniques in sentiment analysis, particularly in the tourism industry.

Practical Implications –The Enhanced SVM model can be used by platforms like TripAdvisor to provide more accurate sentiment analysis of hotel reviews, aiding tourists in their decision-making process.

Social Implications–Improved sentiment analysis can enhance the overall travel experience, leading to more satisfying and informed travel decisions.

Keywords–sentiment analysis, support vector machines, sequential minimal optimization, random search, synthetic minority over-sampling technique
Filipino Sign Language Hand Gesture Recognition Using MediaPipe and Machine Learning
Authors:   Engineering Department, University of San Jose-Recoletos, Philippines, Pilare Lorraine Kaye , Mahinay Junejay Christian ,   Engineering Department, University of San Jose-Recoletos, Philippines, Degamo Augustine Clein ,   Engineering Department, University of San Jose-Recoletos, Philippines, Piner Brill Nash ,   Engineering Department, University of San Jose-Recoletos, Philippines
Published: February 2025

Purpose–This study develops a Filipino sign language recognition system that can recognize sign language composed of three(3) basic words and twenty-seven (27) phrases.

Method–The proposed sign language recognition method converts sign language into text through several steps.First, video input is captured using a webcam.MediaPipe then extracts features of both the left and right hands from the video. An LSTM algorithm is trained to recognize patterns in these hand features, translating sign language into text accurately. The translated text is displayed on a monitor. A total of 900 data samples were used, with an output shape of (900, 30, 128) for a video containing 30 frames and 64 hand landmarks per frame.

Results–The proponents performed test cases to confirm that the system met the necessary quality standards, using three different dataset splits. The highest training accuracy percentagewas 98.41% with 70% of training and 30% samples. The highest testing accuracy percentage was 98.89% withan even 50% split between training and testing samples.The system achieved high accuracy with a 50% training and 50% testing split.

Conclusions–Thisstudy developed a sign language recognition system for Filipino Sign Language (FSL) gestures using MediaPipe and LSTM algorithm,achievinghigh accuracy This advancement in sign language recognition can contribute significantly to the field.

Recommendations–To enhance the FSL gesture recognition system, several suggestions could focus on improving recognition for natural signing, exploring advanced machine learning models, expanding gesture recognition scope, and integrating high-performance hardware.

Research Implications–Using machine learning frameworks like MediaPipe, thisstudy aims to improvethe accuracy and effectiveness of FSL recognitionsystems.

Practical Implications–The system enhances communication between the speech impaired and the wider community, improving accessibility and inclusiveness.

Keywords–machine learning, Filipino sign language, mediaPipe, LSTM
Engineering and Construction: 3D Model Review and Tagging System
Authors:   Graduate School, Adamson University, Philippines, Rosos Arbie Jose
Published: February 2025

Purpose–To develop an application to enhance the model review process in engineering and construction projects by leveraging the functionalities of 3D design software.

Method–Rapid Application Methodology, or RAD, was mainly used in the study. Visual Studio is the main IDE used in the development of the web application and of the plugin for the 3D design software, which is Autodesk Navisworks. The backend language used was C#, followed by MSSQL for the database server and IIS for the web server. As for the evaluation of the functionalities of the system, forty engineers participated.

Results–In order to make decisions during the model assessment and produce real-time reports, the respondents were able to get more data from the 3D model. The web application allows for the sending of notifications or announcements, model evaluation reports, and profile administration for users. Additionally, the applications make use of an SMS module, which enables field-based engineers to get notifications even in the absence of an internet connection.

Conclusion–By integrating 3D design software and a web application, it was discovered that the designed applications could improve the 3D model review. As perceived by the respondents, the system is functionally acceptable, indicating that the study's design framework can be feasibly implemented.

Recommendations–The study focuses on two types of applications: web-based and desktop. Thus, it is recommended that a mobile application be developed as an additional platform for the engineers for easy accessibility.

Practical Implications–Though modern 3D model review tools like Autodesk Navisworks offer comprehensive review solution in engineering and construction, they are expensive for most small engineering businesses. The use of technological solutionfor 3D model review will benefit the various engineering organizations since it will give them the advantage of presenting the current stage of the designs to their clients in almost real-time.

Keywords–3D, model review, design, engineering, construction
Enhancing Customer Satisfaction through Sentiment Analysis and Affect Recognition Using Computer Vision with Predictive Analytics for Blu Water Beach Resort & Parks
Authors:   School of Graduate Studies, AMA Computer University, Philippines, Rabano Carmencita , Monreal Richard ,   College of Computer Studies, AMA Computer University, Philippines
Published: February 2025

Purpose—The study aims to use innovative technologies to improve visitor experiencesat Blu Water Beach Resort & Parks in Bauang, La Union. Specifically, it intends to create adynamic website for easy booking and feedback, implement real-time sentiment analysis,use computer vision to evaluate guest behavior and use predictive analytics to provide personalized services. These innovations aim to improve operational efficiency, increase visitor pleasure, and provide useful insights to resort management and the wider hospitality industry.

Methodology—Data was collected from respondents via unstructured survey questions. This information informed the development of standardized questionnaires for systematic data gathering. The structured survey results were analyzed using a Likert scale model, which allowed respondents to grade from "Very Satisfactory" to "Very Poor," with points ranging from one to five (1-5). The total points were averaged to determine the Weighted Mean and Average Weighted Mean.

Results—The results indicate that innovative technologies would improve customer experience at Blu Water Beach Resort. Tools like sentiment analysis and computer vision with predictive analytics can provide real-time insights into guest satisfaction by interpreting emotions and feedback. This allows the resort to tailor services to better meet guest preferences, leading to higher satisfaction levels. The positive reception to these technologies suggests guests are willing to engage with innovative solutions for a more personalized and responsive service.

Conclusion—Blu Water Beach Resort and Parks can enhance guest satisfaction, and service quality, and create memorable experiences by utilizing innovative technologies. This approach will lead to business expansion and success in the competitive hotel industry.

Recommendation—The research suggests that employees should receive proper training to understand and effectively use system insights. Encouraging collaboration among guests, workers, managers, and technology partners can foster innovation and enhance visitor satisfaction. Promoting open communication and teamwork is essential for achieving the resort's objectives and improving the overall guest experience.

Practical Implication—This research will benefit future researchers, industry colleagues, and competitors by demonstrating the successful integration of IT solutions. The insights can significantly influence the beach resort sector by showcasing how technology can enhance operations and guest experiences.

Keywords—Sentiment, Analysis, Predictive, Analytics, Computer vision, Innovation, Customer Satisfaction
Developing a Business Intelligence for Leaftea Milktea Bar Integrated with DialoGPT-powered Chatbots
Authors:   School of Graduate Studies, AMA Computer University, Philippines, Mangahas Jasmine , Ngo Gerard Nathaniel ,   School of Graduate Studies, AMA Computer University, Philippines
Published: February 2025

Purpose–This project aims to digitally transform Leaftea Milktea Bar by developing an advanced AI-driven business intelligence system integrated with Dialogpt-powered chatbots. The goal is to significantly enhance customer engagement, streamline and automate operational processes, and elevate service efficiency to unprecedented levels.The system will be developed using Python, HTML, CSS, JavaScript, and MySQL.

Proposed Method–The study uses a hybrid approach, combining quantitative analytics and qualitative evaluations. Customer surveys will measure satisfaction and engagement before and after chatbot implementation, while staff interviews will assess operational impacts. The Dialogptwill be seamlessly integrated into LeafTea’s infrastructure. Advanced statistical tools and thematic analysis will be employed to derive insights. This research aims to provide actionable recommendations for leveraging AI technologies to optimize business operations in the food and beverage industry.

Conclusion–Implementing DialoGPT-powered chatbots for business intelligence significantly boosts customer engagement and operational efficiency. By leveraging data analytics and AI-driven interactions, this solution enhances personalization and provides real-time insights, transforming the food and beverage industry. It enables businesses like LeafTea MilkTea Bar to serve customers better and streamline operations, promoting sustainable growth.

Initial Results–Initial prototype designs demonstrate some of thesystem’s functionality. First is the dashboard which shows the summarization of the branches' flow and growth. Second is the chatbot designed to assist users specificallyfor order taking. Lastly, the inventory shows the available stocks. Also, the orders that have been placed in the chatbot will be automatically deducted from the warehouse inventory.

Recommendation–This study recommends adopting the proposed system in merchandising and manufacturing businesses to optimize stock levels, facilitate real-time updates, and ensure scalability to meet evolving business demands.

Practical Implications–The system's benefits extend beyond businesses, encompassing students, prospective researchers, and developers.

Keywords–AI,Artificial Intelligence,Business intelligence, Chatbot, DialoGPT, Embeddings
Multi-task Deep Learning in Medical Image Processing: A Systematic Review
Authors:   Department of Information Technology, Murang’a University of Technology, Kenya, Kamiri Jackson , Wambugu Geoffrey ,   Department of Information Technology, Murang’a University of Technology, Kenya, Oirere Aaron ,   Department of Computer Science, Murang’a University of Technology, Kenya
Published: February 2025

Purpose—Multi-task learning (MTL) is a deep learning approach that aims to jointly learn two or more tasks with the goal of leveraging shared knowledge among the tasks. This study aimed to review existing MTL models in medical image processing to understand the current state of research, evaluate major breakthroughs, and analyze open gaps and future research direction.

Methodology—The study conducted a systematic literature review employing a search of peer-reviewed journal articles and conference proceedings. The articles were sourced from IEEE, ScienceDirect, PubMed, and Google Scholar databases. 52 primary papers published between 2016 and 2024 were considered in this study.

Results—The study's findings reveal that breakthroughs have been made in increasing the scope of task combinations in both homogenous and heterogenous tasks. Additionally, innovative architectural designs and learning methods have emerged. Although MTL has emergedas a panacea for medical image processing, some grey areas in research need to be addressed. They include task relatedness, scope of task combinations, generative MTL, and longitudinal MTL.

Conclusion—The study conducted a comprehensive analysis of multi-task models in medical image processing. The findings reveal breakthroughsin architecture, task combinations, and learning methods,and open gaps in this field. Metrics variability and proprietary datasets were the major limitations of this study.

Recommendations—Future researchers should focus on addressing the gaps identified in this study especially increasing the scope of MTL and designing more robust and highly generalizable neural networks for longitudinal MTL.

Research Implications—The review evaluates the current state of medical image processing using MTL, offering insights into both theoretical and practical aspects. These insights provide direction for future researchers to advance the field and for policymakers to support ethical data collection and sharing.

Keywords—multi-task learning, deep learning, medical image processing, computer vision, neural networks
Analysis of Image Recognition Algorithms for Detecting Common Calamansi [Citrofortunella microcarpa(Bunge) Wijnands] Diseases in the Philippines
Authors:   Mindoro State University Alcate, Victoria, Oriental Mindoro, Philippines, Goloy Rean , Khan Concepcion ,   University of the Philippines-Los Baños Los Baños, Laguna, Philippines
Published: February 2025

Purpose –Plant diseases are a major challenge for agriculture in the Philippines, particularly for calamansi [Citrofortunella microcarpa(Bunge) Wijnands], a key citrus crop. This study addresses this issue by employing image processing and machine learning techniques to enhance the detection of calamansi diseases.

Method –The research analyzed three image recognition algorithms—YOLOv5, Faster R-CNN, and MobileNetSSDv2—using a dataset of 2,990 images of calamansi leaves and fruits collected from farms in Victoria, Oriental Mindoro. The images were processed, and the models were evaluated based on precision, recall, and mean average precision (mAP).

Results –YOLOv5 outperformed the other models with a precision of 96%, recall of 96.2%, and mAP of 98.1%. This model was deployed in a mobile application, achieving a field-testing accuracy of 77.5%. The findings highlight the potential of using machine learning for real-time detection of plant diseases.

Conclusion—The study demonstrates the feasibility of integrating advanced algorithms into mobile technology to assist Calamansi farmers in monitoring crop health effectively.

Practical Implications –Adopting mobile-based disease detection systems can significantly improve crop management, productivity, and sustainability. However, the research is limited to specific diseases and data from a single region, underscoring the need for broader datasets andextended testing.

Keywords –calamansi, image recognition algorithms, agricultural innovation, YOLOv5
An Improved Genetic Algorithm for Solving the Multi-Objective Flexible Job Shop Scheduling Problem
Authors:   Graduate School, University of the East Manila, Philippines, Chen Lei , Lazaro Joan ,   Graduate School, University of the East Manila, Philippines
Published: February 2025

Purpose–Aiming at the flexiblejobshop schedulingproblem(FJSP), a multi-objective scheduling model with the maximum completion time and the minimum total processing energy consumption was constructed as the optimization objectives.

Method–To optimize the performance of the genetic algorithm, a diversified population strategy was adopted, combining elite retention and a random roulette wheel selection mechanism to screen and retain offspring with excellent performance carefully At the operational level of the algorithm, an efficient single-point crossover strategy was adopted for the process coding part to promote the combination and transmission of excellent characteristics.For the machine allocation part, a flexible random crossover method was introduced to increase the diversity of solutions. To explore new solution spaces and avoid premature convergence, a single-point mutation mutation strategy based on minimum machine energy consumption was designed.

Results–Simulated the workshop manufacturing of six machines and six job positions in a company.Compared to the original scheme, the optimized one reduced the production interval by 19.67%, proving its effectiveness.

Conclusion–There are other important objectives in actual production, and dual objective optimization may not fully reflect the complexity and diversity of the production system. In addition to dual objective optimization, considering multi-objective optimization methods may better capture the authenticity of the production system comprehensively.

Recommendations–By optimizing production scheduling, overall production efficiency can be improved and profit margins can be increased.

Practical Implications–This study provides a solution to improve production efficiency and reduce energy consumption in manufacturing environments. The proposed method has been validated through enterprise cases, demonstrating its effectiveness in optimizing maximum completion time and total energy consumption. Implementing this algorithm can improve profit margins and promote more sustainable production practices, aligning with the goals of modern manufacturing.

Keywords–FJSP, genetic algorithm, multi-objective, multiple populations
Abhiman: A Complex Emotional Reaction Associated with Being Hurt
Authors: Guru Prasad Bag  , Dr. Manaswini Dash
Published: February 2025

Interpersonal relationships are widely acknowledged as significant predictors of both physical health and overall, well-being. This study aims to provide an in-depth exploration into the intricate conceptualization of “abhiman”, a unique form of emotion involving feeling hurt and sulkiness. Since, “abhiman” is an Odia word and we could not find its exact English equivalent, we used the Odia word as it is. The sample comprising 13 literature experts, both of Odia and English language participated in comprehensive interviews. Through unstructured interviews, qualitative data was collected. The analysis revealed seven prominent thematic dimensions. The findings showed that people experience “abhiman” after being hurt by their loved ones and there are certain events that lead to the experience of this emotion. It is a mixture of a wide range of emotions like anger, sadness, pride and a sense of self-respect. While experiencing “abhiman”, people have a strong hope that the target person will apologize. After the target person apologizes, her/his relationship with the person may get better. A common behavioral response seen in people experiencing this emotion is sulking: that is withdrawal from participation in conversations or activities with the loved ones, in general and the target person in particular, remaining resentful and in bad mood. Abhiman can have a harmful effect on interpersonal relationships if it is not well responded to by the target person, whereas it can also promote healthier relationships if it is well responded.
Tradução e adaptação transcultural de instrumento para mensurar autoridade e autonomia profissional de enfermeiros
Authors: Gomes Klarissa de Oliveira , Bampi Luciana Neves da Silva
Published: February 2025

Objetivo: Realizar a adaptação transcultural da Nursing Authority And Autonomy Scale para o contexto do Brasil. Métodos: Estudo metodológico de tradução e adaptação transcultural que seguiu cinco etapas: tradução, síntese, tradução reversa, avaliação por comitê de especialistas e pré-teste. O Índice de Validade de Conteúdo de ≥0,75 e Coeficiente Kappa de Cohen >0,61 foram considerados adequados para a pesquisa. Resultados: A tradução da Nursing Authority And Autonomy Scale foi consistente e aprovada por comitê de especialistas com IVC ≥0,80 e Kappa ≥0,76. O pré-teste contou com a participação de 60 enfermeiros, sendo 30 assistenciais e 30 gerentes. A maioria dos enfermeiros eram mulheres jovens, com especialização. Os escores totais do pré-teste revelaram média de 152,13 para enfermeiros gerentes e de 140,83 para assistenciais, sendo 190 o escore máximo possível. Conclusão: A Nursing Authority And Autonomy Scale foi considerada traduzida e adaptada ao contexto brasileiro. Outros estudos devem avaliar as qualidades psicométricas deste instrumento.