bluuebunny/crossref_metadata_2025 huggingface dataset:
Interval Observer-Based Model Predictive Control in the Propofol Delivery Process
Authors:   Instituto Politécnico Nacional, México, Ramírez-Barrios Miguel , Mera Manuel ,   Instituto Politécnico Nacional, México, Avilés Jesús David ,   Universidad Autónoma de Baja California, México, Ríos Héctor ,   Tecnológico Nacional de México, La Laguna, México
Published: January 2025

Due to the anesthesia delivery-related consequences during general surgery, it is desirable to regulate hypnosis during the surgery through an anesthesia infusion closed-loop system. In this paper, a closed-loop scheme is based on the patient’s kinetic and dynamic drug model, where the Bispectral index is the available output. In order to generate the feedback and recover the necessary states, an interval observer is designed based on the system’s positivity and cooperativity properties. Then, a Model Predictive Control (MPC) is implemented to ensure the correct propofol delivery using the estimated states and output. Finally, the proposed interval observer and MPC performances are validated by simulations in three silico patients.
A Steady State Methodology for Leak Diagnosis in Multibranched Pipelines
Authors:   Universidad Popular Autónoma del Estado de Puebla, México, González Omar , Ríos Isai Josue ,   Universidad Popular Autónoma del Estado de Puebla, México, Torres Lizeth ,   Universidad Nacional Autónoma de México, México, Rodríguez Blanco Marco Antonio ,   Universidad Autónoma del Carmen, México
Published: January 2025

This work proposes a general methodology to deal with the problem of leak diagnosis in a multi-branched pipeline. To achieve this, the flow rate and pressure measurements at the ends of the pipeline are assumed to be known, as well as the flow rate leaving each pipeline branch with a known position. The key of the proposed methodology consists of estimating the known position of each branch of the pipeline and generating a residual from the discrepancy between the estimated and the real position, due to the presence of a leak. Due to the sensitivity of the residuals to variations of flow and pressure, the sign of this set of residuals indicates the section in which the leak is located, and, knowing this, it is possible to localize it precisely through a simple mathematical expression using only known values. In particular, we present the equations for the cases of pipelines with two and three branches.
Stator Fault Diagnosis of a Permanent Magnet Synchronous Generator Using a Decision Tree Classifier
Authors:   Universidad Autónoma de San Luis Potosí, México, Álvarez-Salas Ricardo , Álvarez Salas Jose Antonio ,   Universidad Autónoma de San Luis Potosí, México, González García Mario Arturo ,   Universidad Autónoma de San Luis Potosí, México, Cárdenas Víctor ,   Universidad Autónoma de San Luis Potosí, México, Villalobos Piña Francisco Javier ,   Instituto Tecnológico de Aguascalientes, México
Published: January 2025

This work presents a decision tree-based classifier to diagnose short circuit faults between the stator’s turns in a permanent magnet synchronous generator. The generator currents are processed with the discrete wavelet transform to obtain features to feed the binary classifier that performs the diagnosis. Experimental results are presented to show the performance of the proposed scheme.
Reduced Order Interval Observer for Linear Discrete-Time Systems with 2n States and N Outputs
Authors:   Universidad de Guanajuato, México, López-Caamal Fernando , Avilés Jesús David ,   Universidad Autónoma de Baja California, México
Published: January 2025

In this paper we design a reduced order interval observer for the unmeasured variables of a particular class of discrete-time linear system. By ensuring the cooperativity and convergence properties applied to the estimation error, the observer provides an upper and a lower estimate, despite the presence of unknown, bounded inputs and perturbations. The class of systems is composed of systems with 2n states and n linearly independent measurements. A numerical simulation shows applicability of the results.
Reduction of detectable fault size in sampled data residuals
Authors:   Universidad Autónoma de Nuevo León, México, Alcorta-García Efraín , Lozano Flores Hector Alexis ,   Universidad Autónoma de Nuevo León, México, Pérez Rojas Carlos ,   Universidad Michoacana de San Nicolás de Hidalgo, México
Published: January 2025

One of the families of robust algorithms for fault detection in dynamic systems is related to the use of mathematical models. This poses challenges when access to the mathematical model for design is not available. This work employs a scheme capable of diagnosing systems based on input-output data (designed under nominal operation and the assumption that the system exhibits essentially linear behavior). A relevant aspect of diagnosis is the sensitivity to the faults being detected. This sensitivity plays a crucial role in critical systems, where early fault detection is desired. This work offers an approach capable of adjusting the diagnostic sensitivity of the residual-generating algorithms with respect to faults. The idea is to obtain residuals that are triggered once a certain predetermined threshold value is exceeded due to the effect of faults. Based on an application example, it is illustrated that the proposed residual generator is approximately 20 times more sensitive than those reported in the literature.
A Virtual Laboratory on Recursive Least-Squares Estimation for Undergraduate Courses
Authors:   Universidad Nacional Autónoma de México, México, Ramírez-Chavarría Roberto Giovanni , Maldonado-Uriostigue Daan Y. ,   Universidad Nacional Autónoma de México, México
Published: January 2025

This paper describes the creation of an educational resource focused on identifying dynamic systems, with a particular emphasis on parametric estimation, for undergraduate courses. This virtual laboratory is easily reproducible with accessible materials and software, allowing easy system modification. The Recursive Least-Squares (RLS) with a forgetting factoris a solid and efficient method that enables students to experiment with parameters and better understand the subject matter. We show three experiments to provide an exhaustive RLScomprehension. Finally, we envision the virtual laboratory as useful for educational purposes and other applications in automatic control.
Observer Design for Saccharomyces Cerevisiae Fermentations
Authors:   Universidad de Guanajuato, México, Peña Caballero Vicente , Sánchez López Esperanza Paola ,   Universidad de Guanajuato, México, Sánchez Hernández Bernardo Luis A. ,   Universidad de Guanajuato, México, Gutiérrez Villalobos J. Marcelino ,   Universidad de Guanajuato, México, Zárate Castrejón J. Luis ,   Universidad de Guanajuato, México, López Pérez Pablo Antonio ,   Universidad Autónoma del Estado de Hidalgo, México
Published: January 2025

The estimation of the states of a Saccharomyces cerevisiae (S. cerevisiae) biomass production process using glucose as carbon and energy source in CSTR-type bioreactor cultures was investigated. The biomass estimation was evaluated numerically by implementing the observer in the bioreactor model at a continuous regime. The observer was designed with two terms, one error proportional (Ke) and one sign type (Ksign(e)f(e)). The performance of the proposed observer was compared with the observer published by Bastin and Dochain. For different dilution rates, both observers showed equal performance or the same numerical conditions. Moreover, their response was evaluated for different initial conditions of the model and the estimators with a better performance index of the proposed observer.
Gradient Estimate for Continuous-Time Linear Dynamical Systems
Authors:   Universidad de Guanajuato, México, López-Caamal Fernando , Torres Zúñiga Ixbalank ,   Universidad de Guanajuato, México
Published: January 2025

In this paper we compare two different methodologies for computing the gradient of a linear, continuous-time dynamical system with no parametric uncertainties nor unknown inputs. Such a gradient is computed by performing the partial derivative of a performance function w.r.t. the input of the system. The first of the methodologies uses the model of the dynamical system to construct the gradient; whereas the second one avails of the differentiation of the performance function and the system’s input. We compare both approaches via a numerical simulation.
Startup Design of Biomass Gasification Reactors
Authors:   Universidad Nacional Autónoma de México, México, Santamaria-Padilla Luis , Alvarez-Icaza Luis ,   Universidad Nacional Autónoma de México, México, Alvarez Jesus ,   Universidad Autónoma Metropolitana-Iztapalapa, México
Published: January 2025

As a fundamental step for open and closed-loop design and operation, the problem of designing the initial temperature profile for the startup operation of a spatially distributed throated gasifier (described by 10 to 20 nonlinear ordinary and partial differential equations) so that the high energetic yield steadystate is robustly reached is addressed. The problem is solved with efficient partial-to-ordinary differential equation discretization and approximation of the initial torch-induced temperature profile with a rectangular one with: (i) the same sensible heat content (area) as the torch one, and (ii) the pulse start-endheight triplet as design degree of freedom. A sampled search yields the start-end-height triplet that describes the experimental data and explains the manufacturer’s specifications and operation guide, systematizing (with scalability) the startup operation.
Trajectory Tracking Control of a Mecanum-Wheeled Omnidirectional Mobile Robot Implemented in ROS-Gazebo
Authors:   Tecnológico Nacional de México, Tuxtla Gutiérrez, México, Gómez-Peñate Samuel , López Cancino Luis Daniel ,   Tecnológico Nacional de México, Tuxtla Gutiérrez, México, Luna Moises ,   Tecnológico Nacional de México, Tuxtla Gutiérrez, México, Santos Ruiz Ildeberto ,   Tecnológico Nacional de México, Tuxtla Gutiérrez, México, Molina-Domínguez Saúl De Jesús ,   Tecnológico Nacional de México, Tuxtla Gutiérrez, México
Published: January 2025

This article presents a trajectory tracking robust control for a mobile robot with Mecanum wheels. Using the sliding mode technique, a controller is developed to ensure robustness against unknown uncertainties, providing stable convergence. For stability onditions, the direct Lyapunov method is used, which guarantees the asymptotic convergence of the system. Finally, the results are evaluated at the simulation level using the nonlinear model and ROS2 in the Gazebo environment.
Experimental Comparison of Model-Free Nonlinear Controllers on a 4-Degrees-Of-Freedom SCARA Robot
Authors:   Instituto Nacional de Astrofísica, Óptica y Electrónica, México, Gutierrez-Giles Alejandro , De La Paz Cesar ,   Instituto Nacional de Astrofísica, Óptica y Electrónica, México, Cruz Israel ,   Instituto Nacional de Astrofísica, Óptica y Electrónica, México
Published: January 2025

This paper presents the construction of an experimental platform consisting of a 4-degrees-of-freedom SCARA robot. The proposed platform is designed to quickly test nonlinear controllers experimentally. The code is written in C++, which is both flexible and efficient, resulting in a 2 ms sample time for the closed-loop controller. Additionally, a model-free adaptive controller is proposed in this work, which uses the direct kinematics of the robot to construct a pseudo-regressor. The proposed approach demonstrated superior performance when compared experimentally with two other model-free controllers and a classical modelbased adaptive controller.
Robust Control for Joint Position Regulation of the Inertial Wheel Pendulum Affected by Constant Torque Disturbances
Authors:   Tecnológico Nacional de México, Instituto Tecnológico de La Paz, México, Sandoval Jesús , Cota Samir ,   Tecnológico Nacional de México, Instituto Tecnológico de La Paz, México, Santibáñez Víctor ,   Tecnológico Nacional de México, Instituto Tecnológico de La Paz, México, Cervantes-Pérez Luis ,   Tecnológico Nacional de México, Instituto Tecnológico de La Paz, México, Moreno-Valenzuela Javier ,   Instituto Politécnico Nacional
Published: January 2025

This paper presents the design of a robust controller for joint position regulation of the inertial wheel pendulum. The proposed controller for this underactuated mechanical system affected by an unknown constant disturbance was designed using an interesting energy shaping approach. The unknown disturbance is estimated via a nonlinear observer, and the stability analysis is based on Lyapunov’s theory. Numerical simulations on the inertia wheel pendulum model illustrate the performance of the proposed controller.
SOH Estimation of Lithium-Ion Batteries Based on ANNs and Synthetic Data
Authors:   Tecnológico Nacional de México, Tuxtla Gutiérrez, México, Cabrera García Jesus , Zepeda-Hernández José Angel ,   Tecnológico Nacional de México, Tuxtla Gutiérrez, México, López-Pérez Manuel de Jesús ,   Tecnológico Nacional de México, Tuxtla Gutiérrez, México, Domínguez Zenteno Joaquín Eduardo ,   Tecnológico Nacional de México, Tuxtla Gutiérrez, México
Published: January 2025

Estimating the State Of Health (SOH) of Lithium-Ion Batteries (LIB) is essential for optimal performance in applications such as electric vehicles (EV) and energy storage systems. However, this battery’s electrochemical parameter is impossible to measure directly. Many works have addressed estimating the battery SOH using different techniques. Recently, techniques such as machine learning have enabled data-driven predictions when a parameter cannot be measured. In this work, an artificial neuronal network (ANN) is proposed to estimate the battery’s SOH for an EV. The ANN was trained at the beginning with Ames PCoE battery data provided by NASA and complemented with synthetic data from a LIB electrochemical model. The electrochemical model describes the battery behavior with specific SOH. Therefore, a parameter estimation algorithm such as Particle Swarm Optimization (PSO) was used to figure out the model parameters for each SOH to generate new profiles and add more information to train the ANN. Finally, the ANN was implemented with a candidate battery to demonstrate its effectiveness and performance in out-range LIB operating conditions in which it was trained.
Evaluation of the Implementation of Inclusive Education at Piloting Elementary School, Bontang City
Authors: Darwis Anissaa Alhaqqoh , Mulawarman Widyatmike Gede , Haryaka Usfandi
Published: January 2025

The implementation of inclusive education is a priority in Indonesia to provide equitable and quality education for all citizens without discrimination. In Bontang City, this is regulated in Mayor Regulation Number 1 of 2013 which aims to fulfill the right to education for all children. In 2013, SDN 003 Bontang Utara and SDN 010 Bontang Selatan were designated as pilot schools for inclusive education. Over time, the number of Special Schools (SLB) increased from 3 to 6, with Students with Special Needs (PDBK) at SLB Negeri Bontang reaching almost 200 students. Evaluative research on the implementation of inclusive education in Bontang City used a qualitative approach with the CIPP (Context, Input, Process, Product) Stufflebeam evaluation model. Data were collected through interviews, observations, and documents, and tested through triangulation and audits by supervisors. The results showed that SDN 003 Bontang Utara was in Quadrant II (Unfocused Implementation) with input and products not yet meeting standards. SDN 010 Bontang Selatan is in Quadrant I (Dropout Implementation) with all aspects rated negative. Recommendations include strengthening the implementation of inclusive programs in SDN 003 and comprehensive improvements in SDN 010, including teacher training, provision of facilities, and intensive assistance from the government to build better inclusive education.
Migration Patterns and Social Change in Kalimantan Region: A Quantitative Study of The Impact of Migration in Changing Social and Economic Structures
Authors: Harsono Iwan , Sutanto Himawan , Sya’rani Ridwan
Published: January 2025

The Kalimantan region, situated within the Indonesian part of Borneo Island, has a rich history intertwined with migration. Over the centuries, it has attracted diverse populations seeking livelihoods, cultural exchanges, and economic opportunities. However, recent decades have witnessed significant shifts in migration patterns driven by urbanization, industrialization, and environmental changes. This research explores the impact of migration on the social and economic structures of Kalimantan, employing a mixed-methods approach. Quantitative analysis reveals a positive association between migration and both social change and economic structure, indicating the potential benefits of migration for fostering diversity, cultural integration, and economic development. Nonetheless, context-specific policies are essential to address challenges such as infrastructure development and social cohesion. While this study provides valuable insights, further qualitative research is needed to comprehensively understand the complexities of migration in the region.
The Influence of Socio-Economic Factors on Marriage Patterns in Indonesia: A Quantitative Analysis of the Relationship between Social Status and Marriage Decisions
Authors: Harsono Iwan , Sutanto Himawan , Zuhroh Siti , Arisanti Ivon , Erliana Yossy Dwi
Published: January 2025

This research investigates the influence of socio-economic factors on marriage patterns in Indonesia through a quantitative analysis. Using a sample of 100 respondents, we examined the relationships between Education, Income, and Employment Status as independent variables and Marriage Decisions as the dependent variable. The results reveal that these socio-economic factors significantly impact individuals' decisions regarding marriage. Education was found to delay marriage and influence spouse selection based on compatibility, while higher income levels and employment status were associated with a greater inclination towards marriage, reflecting economic stability and independence. Furthermore, when considered collectively, these factors exhibited a substantial impact on marriage decisions. However, it is essential to acknowledge the role of cultural, familial, and individual factors that were not included in the model. These findings contribute to a nuanced understanding of the complex interplay of socio-economic factors in shaping marriage patterns in Indonesia.
Kurutma Yöntemlerinin Deri Fiziksel Özelliklerine Etkileri
Authors: Kılınç Kemal
Published: January 2025

Kurutma işlemi, derinin temel yapısal, kimyasal ve fiziksel durumunu belirleyen; derinin kullanılabilir forma dönüştürülmesinde gerekli olan en önemli deri üretim işlemlerinden birisidir. Ayakkabı yüzlük derilerin üretiminde farklı kurutma metotları kullanılmasıyla derilerin fiziksel özelliklerindeki değişim de farklı olmaktadır. Bu çalışmada ayakkabı yüzlük derilerin kurutulmasında askı, yaş gergi ve vakum kurutma yöntemleri kullanılarak derilerin fiziksel özelliklerine etkisi mukayese edilmiştir.
Sonuç olarak, farklı kurutma yöntemlerinin ve koşullarının kullanılmasıyla fiziksel özelliklerinde istatistiksel anlamda önemli değişimlerin meydana geldiği görülmektedir. Özellikle ayakkabı yüzlük derilerin kurutulması için kullanılan yaş gergi kurutmanın bazı fiziksel özelliklerde sağladığı avantajlar nedeniyle tercih edilebilir bir yöntem olduğu ortaya çıkmaktadır.
Case Study of Claim Data and Participant Data in Indonesian Insurance Companies
Authors: Solontio Chris , Hidayanto Achmad Nizar
Published: January 2025

Data has become an asset for insurance companies that has many benefits, especially health insurance, so that management needs to realize the importance of good data quality in order to avoid the impact of poor data quality. In this study, data quality measurement will be carried out by observation to see the total amount of invalid data from the data dimensions, namely, accuracy, completeness and consistency of the relationship between claim data and customer data as well as the findings of the overall data of each case study site. In addition to the data analysis, interviews were conducted with the IT, Customer Retention, Operations, and Actuarial teams who are directly related to data flow and data processing to create an analysis that helps management in making decisions. From the results of the analysis and interviews that have been conducted, there are still data that do not match and obstacles faced by users in dealing with poor data quality. From the results of this analysis, management needs to form a data govenance team that has the responsibility of the entire data flow and maintaining data quality. Later, the managed data set will have a positive impact on other teams in terms of analyzing trends or fraud in a faster time, assisting in the creation of a data warehouse, implementing artificial intelligence (AI) and digital transformation as a form of company improvement to insurance policyholders.
Advocacy Process for Rural and Urban Land and Building Tax Policies in Kuripan Village, Purwodadi District
Authors: Hasan Faiq Najib , Astuti Retno Sunu , Santoso R. Slamet
Published: January 2025

Regulations regarding Land and Building Tax (PBB) have been regulated in Law Number 12 of 1985 which was later amended by Law Number 12 of 1994 concerning Land and Building Tax. PBB-P2 is a tax imposed on land and/or buildings owned, controlled, or utilized by individuals or entities, except for the plantation, forestry, mining, and public facilities sectors. Awareness of paying taxes is considered a form of commitment from the community as taxpayers. This study analyzes the PBB-P2 policy advocacy process in Grobogan Regency and analyzes its supporting and inhibiting factors, with a special focus on Kuripan Village. This study uses a qualitative descriptive method with an inductive approach, through direct observation, in-depth interviews and analysis of supporting documents. Interviews were conducted with related parties such as the Purwodadi Sub-district Head, the Head of Kuripan Village, PBB-P2 Collecting Officers, and Taxpayers. The results of the study show that although this policy has yielded positive results, there are still challenges such as lack of communication and socialization, delays in the distribution of SPPT and low level of public understanding. Innovations such as payments by mobile banking, PBB-P2 Payment Posts, and PBB-P2 intensification have been implemented, but they are still not optimal. Intensive communication with stakeholders, continuous socialization, and policy support can improve the optimization of PBB-P2 and contribute to increasing the Realization of PBB-P2 Revenue in Kuripan Village and contribute to the Regional Original Revenue (PAD) in Grobogan Regency.
Implementasi Teknologi Terhadap Lingkungan Sekolah SMPN 85 Jakarta
Authors: Oktaviyanti Ririn , Azka Aulia Dinda , Sri Rahayu Pertiwi Dachi Claudia , Fikalo Elistra Nada , Kayowuan Lewoleba Kayus , Subakdi Subakdi
Published: January 2025

School environmental cleanliness is essential to create a healthy and productive learning environment. This study discusses various technologies that can be implemented in schools to improve effective and innovative cleanliness. These technologies include an app-based waste management system, the use of air quality sensors, and a digital platform to teach students about the importance of environmental cleanliness. Digital waste management systems enable schools to optimize waste collection and processing by monitoring and managing waste in real-time. Air quality sensors can also indicate levels of cleanliness and air pollution, which are essential for student health. In contrast, digital learning resources encourage students to actively participate in maintaining environmental cleanliness. Research shows that the use of technology not only improves school environmental cleanliness but also makes students more aware and responsible for cleanliness. In technology-based programs, students tend to have a positive attitude towards cleanliness and are more active in maintaining cleanliness. Consequently, incorporating technology into school environmental cleanliness has been shown to be effective in creating a cleaner, healthier, and more sustainable learning environment. For the future benefits of school environmental cleanliness, this study suggests further development of existing technologies.
Integration of Renewable Energy, Microgrids, and EV Charging Infrastructure: Challenges and Solutions
Authors: Prianka Yingking Mitra , Sharma Anik , Biswas Chanchal
Published: January 2025

As global efforts toward sustainable energy transition and electric vehicle (EV) adoption accelerate, the seamless integration of renewable energy sources (RES), microgrids, and EV charging infrastructure is becoming increasingly critical. This review examines recent advancements in the integration of solar and wind power with microgrids and EV charging infrastructure, focusing on energy management techniques, grid stability solutions, and the development of charging infrastructure. The study emphasizes the difficulties relating to energy management techniques, grid stability, intermittency and variability of renewable energy, and the development of charging infrastructure. Microgrids are critically examined for their ability to enhance energy security and resilience by integrating distributed energy resources (DERs) and optimizing power generation and usage. The contribution of microgrids to improving energy security and resilience is thoroughly examined, along with how they allow distributed energy resources (DERs) to maximize power generation and consumption. Additionally, this review assesses how energy storage systems (ESS) and bidirectional vehicle-to-grid (V2G) technology affect peak load reduction and energy balance. The integration of these systems is made easier by a number of smart grid technologies, power electronics solutions, and communication protocols that are covered. The assessment also discusses the standards, policy frameworks, and future lines of inquiry that will be needed to hasten the establishment of a reliable and scalable network of electric vehicle charging stations coupled with microgrids and renewable energy sources. The results of this research offer valuable perspectives for creating sustainable energy strategies that facilitate the swift expansion of electric vehicle adoption, all the while reducing ecological footprints and augmenting grid stability.
Weekly Recap (Jan 2025, part 1)
Authors: Turner Stephen
Published: January 2025

Happy New Year! I’m still catching up on papers from my late 2024 backlog.
TIL: dplyr::mutate()'s .keep argument
Authors: Turner Stephen
Published: January 2025

In the spirit of learning in public,1 today I learned about the .keep argument in dplyr. This doesn’t add anything you can’t do with a select or transmute, but might help simplify some of your dplyr pipelines.2 In the examples below I’m using a few rows from the built-in iris dataset to demonstrate how to use the .keep argument by creating a new ratio variable that’s the ratio of the sepal length to width.
AI code completion in Positron
Authors: Turner Stephen
Published: January 2025

TL;DR:

Codeium offers a free Copilot-like experience in Positron. You can install it from the Open VSX registry directly within the extensions pane in Positron.
Use an LLM to translate help documentation on-the-fly
Authors: Turner Stephen
Published: January 2025

Using LLMs in R

Most of the developer tooling for AI/LLM training and evaluation is Python-centric, but just over the past few months we’ve seen a surge of new tooling for AI/LLM

applications

for the R ecosystem.

ollamar

and

rollama

provide wrappers around the Ollama API allowing you to run LLMs locally on your machine.
Llama 3.2 summaries of bioRxiv and medRxiv preprints with biorecap
Authors: Turner Stephen
Published: January 2025

Last month I published a paper and an R package for summarizing preprints from bioRxiv using a local LLM. I wrote about it here: Llama 3.2 was just released today (announcement). The biggest news is the addition of a multimodal vision model, but I was intrigued by the reasonably good performance of the tiny 3B text model. I used this as an excuse to update the biorecap R package.
Python for R users
Authors: Turner Stephen
Published: January 2025

A Google search for “R vs Python” returns thousands of hits across sites like Reddit, IBM, Datacamp, Coursera, Kaggle, and many others.
Correlations of Gene Polymorphisms of Angiotensin-Converting Enzyme 2 with Onset and Prognosis of Hypertrophic Cardiomyopathy
Authors: Li Sujuan , Lin Xizhi , Ye Haoting , Li Biyun , Zeng Siyu , Mei Qinghua , Huang Yukai , Liu Yixuan
Published: January 2025

Background: To investigate the correlations of the gene polymorphisms of angiotensin-converting enzyme 2 (ACE2) with the onset and prognosis of hypertrophic cardiomyopathy (HCM), so as to provide references for the early prevention and precise treatment of HCM in the future.
Methods: In this case-control study, a total of 100 HCM patients (HCM group) and 100 healthy people receiving physical examination who had matched age, gender and race (Control group) were collected. The single nucleotide polymorphisms (rs102312, rs102883 and rs119247) in the promoter region of ACE2 gene were genotyped by means of conformation-difference gel electrophoresis. Whether the distribution frequency of ACE2 genotypes is in agreement with the law of genetic equilibrium was examined using chi-square test. Meanwhile, the correlations of different polymorphisms and alleles in the promoter region of ACE2 gene with the onset and prognosis of HCM were analyzed.
Results: The Hardy-Weinberg equilibrium analysis showed that all the three polymorphisms of ACE2 gene were in agreement with the law of genetic equilibrium (p>0.05). According to the results of genetic association analysis, the polymorphism rs102312 and its alleles in the promoter region of ACE2 gene were correlated with the occurrence of HCM (p<0.05), while the polymorphisms rs102883 and rs119247 as well as their alleles had no associations with the occurrence of HCM (p>0.05). Furthermore, it was found that the cardiac function and prognosis of HCM patients carrying genotype GG of polymorphism rs102312 were poorer than those of patients carrying genotype TT (p<0.05).
Conclusion: The polymorphism rs102312 in the promoter region of ACE2 gene is associated with the onset of HCM in patients, and HCM patients carrying the genotype GG of polymorphism rs102312 have a poorer clinical prognosis.
Mental Health Challenges Faced by the Wives of Alcohol-Dependent Individuals in Chennai City
Authors: Dr. K. Emmanuel  , Dr. Sahithyaa Raghu  , Rahab Yachat Kwaja  , P. Nancy
Published: January 2025

This study examines the psychological problems experienced by the wives of alcoholics in Chennai City, focusing on depression, anxiety, and stress. Using the DASS-42 scale, a widely recognized tool for assessing these psychological dimensions, the research aims to provide a comprehensive understanding of the mental health challenges faced by this demographic. Data was collected from 11 De-addiction centers across Chennai, utilizing a multi-stage probability sampling technique to ensure a representative sample of the affected population. The study highlights the significant psychological burden borne by the wives of alcoholics, as evidenced by elevated scores on the Depression, Anxiety, and Stress Scale. The findings indicate that these women experience high levels of depression, anxiety, and stress, which are compounded by the challenging circumstances associated with their spouses' alcohol dependence. The use of the DASS-42 scale allowed for a nuanced assessment of these psychological issues, revealing the profound impact of alcoholism on the mental health of their wives. The multi-stage probability sampling technique employed ensured that the sample was both diverse and representative of the broader population of wives affected by alcoholism in Chennai City. This methodological approach provided a robust dataset, enabling a thorough analysis of the psychological impact of living with an alcoholic spouse. The results underscore the need for targeted psychological support and intervention for this vulnerable group, highlighting the importance of addressing their mental health needs within the broader context of addiction treatment and support services. Overall, this study contributes valuable insights into the psychological challenges faced by the wives of alcoholics and underscores the necessity for specialized support mechanisms to address their mental health needs effectively.
EVALUASI SISTEM INFORMASI MANAJEMEN KLINIK NARENDRA MEDIKA
Authors: Florentina Nadira Saniman  , Nurul Widyaningrum Bajeng , Rani Destri Maya
Published: January 2025

Sistem Informasi Manajemen Klinik (SIM Klinik) merupakan sistem berbasis teknologi yang mengelola data administrasi, rekam medis, dan pelayanan kesehatan di klinik, yang bertujuan untuk meningkatkan efisiensi operasional dan mutu pelayanan melalui manajemen informasi yang terintegrasi. Dengan mempertimbangkan pentingnya Peraturan Menteri Kesehatan Nomor 24 Tahun 2022 untuk sistem rekam medis elektronik (EMR), penelitian dengan metode Technology Acceptance Model (TAM) ini bertujuan untuk mengevaluasi sejauh mana SIM Klinik Narendra Medika diterima oleh pengguna serta untuk menemukan kendala potensial dalam penerapan sehari-hari. Penelitian ini mengukur empat dimensi TAM, yaitu persepsi kebermanfaatan (Perceived Usefulness), persepsi kemudahan (Perceived Ease of Use), sikap penggunaan (Attitude Toward Using), dan minat perilaku (Behavioral Intention to Use). Penelitian ini termasuk jenis penelitian kualitatif deskriptif, di mana data diperoleh melalui wawancara dengan petugas kesehatan di Klinik Narendra Medika yang telah menggunakan SIM Klinik selama lebih dari 6 bulan. Hasil penelitian menunjukkan bahwa SIM Klinik telah memberikan manfaat yang signifikan, terutama dalam mendukung pelayanan kesehatan di era digitalisasi. Namun, terdapat beberapa kendala, terutama terkait dengan stabilitas jaringan internet yang perlu ditingkatkan untuk memastikan kelancaran operasional. Meskipun keakuratan informasi dalam SIM Klinik sudah baik, beberapa peningkatan fitur dan tampilan sistem, seperti pengelompokan stok obat dan pembaruan kode ICD, diperlukan untuk meningkatkan akurasi dan kenyamanan penggunaan oleh tenaga kesehatan. Penelitian ini merekomendasikan peningkatan infrastruktur jaringan dan pengembangan fitur tambahan pada SIM Klinik untuk mendukung kinerja klinik yang lebih optimal.
PENERAPAN DIGITAL MOVING AVERAGE FILTER PADA SKIN SENSOR INFANT WARMER UNTUK MENGUKUR SUHU
Authors: Kuspranoto Abdul Haris , Ulin Nuha ABA Muhammad
Published: January 2025

Pengukuran suhu tubuh bayi yang akurat dan stabil merupakan elemen kritis dalam perawatan neonatal, terutama untuk bayi prematur atau bayi dengan kondisi medis yang memerlukan perhatian intensif. Saat ini, skin sensor yang terintegrasi dengan infant warmer menjadi solusi umum untuk memantau suhu tubuh bayi secara kontinu. Namun, fluktuasi suhu dan noise lingkungan dapat mengganggu akurasi pengukuran. Penelitian ini bertujuan untuk meningkatkan akurasi pengukuran suhu menggunakan Digital Moving Average Filter (DMAF) pada skin sensor di infant warmer. DMAF diterapkan untuk meredam noise dan fluktuasi, sehingga menghasilkan data suhu yang lebih stabil dan akurat. Metode ini diuji menggunakan dataset pengukuran suhu dari bayi-bayi baru lahir. Hasilnya menunjukkan peningkatan signifikan dalam keakuratan pengukuran suhu hingga 97,94%, dengan pengurangan yang substansial dalam fluktuasi dan noise. Selain itu, fluktuasi suhu tidak melebihi 1 derajat Celsius setelah menggunakan metode DMAF. Dengan demikian, penerapan DMAF pada skin sensor infant warmer memberikan manfaat yang jelas dalam meningkatkan kualitas perawatan neonatal dengan memberikan kontrol suhu yang lebih tepat dan responsif, serta mengurangi risiko kondisi medis yang berbahaya akibat ketidakstabilan suhu. Temuan ini memberikan landasan yang kuat untuk pengembangan lebih lanjut dalam teknologi sensor dan pengaturan suhu pada infant warmer, dengan potensi besar untuk meningkatkan keselamatan dan kesejahteraan bayi baru lahir.
Culture and Conflict Resolution in Cross-Cultural Projects: Insights from Questionnaires and Interviews
Authors: Wang Shihong , Lyu Junpeng , Pitt Michael
Published: January 2025

As conflict management gained more importance in cross-cultural project management, this paper explores conflicts and conflict resolution strategies in real-world cross-cultural projects, emphasizing the significant influence of cultural differences. Conducting a mixed-method approach that combines questionnaires and interviews, this study identifies various types of conflicts: communication conflicts, cooperation conflicts, value conflicts, status conflicts, and relationship conflicts. Then, this paper classifies conflict resolution strategies according to five conflict management styles: competing, cooperating, compromising, avoiding, and accommodating. The findings reveal that cultural differences can have dual effects on cross-cultural project dynamics. While they can lead to conflicts and challenges, they also present opportunities for growth and innovation. The results, supported by data from prior studies in cross-cultural projects, demonstrate that understanding and managing these conflicts is crucial for project success. Furthermore, the study's findings are generally valid and potentially transferable across different contexts within project management despite some limitations, such as a smaller sample size and a focus on internal rather than external conflicts. This research contributes to academic knowledge and practical applications, offering insights for improving conflict resolution strategies and enhancing cross-cultural collaboration in project management. Future research could address the identified limitations by expanding the scope of the study and focusing more on external conflicts and specific situational dynamics.
Construction of New Similarity Measures for Complex Pythagorean Fuzzy Sets and Their Applications in Decision-Making Problems
Authors: Wang Donglai , Letchmunan Sukumar , Liao Juan , Qiu Haoye , Liu Zhe
Published: January 2025

Complex Pythagorean fuzzy sets (CPFSs) extend Pythagorean fuzzy sets by expressing membership, non-membership, and hesitancy degrees using complex numbers. An urgent issue in CPFSs is determining how to accurately measure the similarity between sets. Similarity measures are crucial for assessing the closeness between two objects and are extensively applied in decision-making. In this paper, we propose new similarity measures based on trigonometric functions and their weighted representations. Additionally, we investigate the properties these measures satisfy and demonstrate their effectiveness through several numerical examples. Lastly, we apply these similarity measures to decision-making problems, including pattern recognition and medical diagnosis.
IDENTIFIKASI FAKTOR EKSTERNAL YANG MEMPENGARUHI MOTIVASI BELAJAR SISWA DI SEKOLAH MADRASAH ALIYAH BHAYANGKARA NURUL QAMAR
Authors: Wijayanti Tuti
Published: January 2025

Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor eksternal yang mempengaruhi motivasi belajar siswa di Madrasah Aliyah Bhayangkara Nurul Qamar. Motivasi belajar, yang merupakan salah satu elemen kunci dalam keberhasilan akademis siswa, dipengaruhi oleh berbagai faktor eksternal seperti kondisi sosial-ekonomi keluarga, lingkungan rumah dan sekolah, serta dukungan teknologi dan fasilitas belajar. Penelitian ini menggunakan pendekatan kuantitatif deskriptif, dengan data yang dikumpulkan melalui angket yang disebarkan kepada 13 siswa. Analisis deskriptif kemudian diterapkan untuk memahami tantangan yang dihadapi siswa dalam proses belajar. Hasil penelitian menunjukkan bahwa keterbatasan akses internet menjadi hambatan utama dalam mencari informasi dan belajar secara online. Selain itu, beban tugas sekolah yang berlebihan mengurangi waktu siswa untuk belajar dengan santai dan fokus. Kurangnya manajemen waktu belajar dan lingkungan rumah yang tidak kondusif juga ditemukan sebagai faktor yang menghambat motivasi belajar siswa.
ISU GENDER DAN LINGKUNGAN DALAM NOVEL GADIS KRETEK KARYA RATIH KUMALA: SATU TINJAUAN EKOFEMINISME KERREN J. WARREN
Authors: Faisal Faisal
Published: January 2025

Penelitian ini bertujuan untuk menjelaskan hubungan perempuan dengan alam dan perlawanan perempuan dalam menyelesaikan permasalahan ekologi akibat penindasan patriarki dalam novel yang dianalisis. Penelitian ini bersifat deskriptif dan kualitatif, data penelitian ini berupa wacana yang mengungkapkan ekofeminisme. Sumber data penelitian ini adalah novel Gadis Kretek karya Ratih Kumala yang diterbitkan oleh Gramedia Pustaka Utama pada tahun 2012. Pendekatan yang digunakan adalah pendekatan ekofeminis Kerren J.Warren. Hasil penelitian menunjukkan bahwa pertama, bentuk hubungan perempuan dengan alam tercermin pada tokoh perempuan yang melakukan praktik pelestarian alam berupa menjaga, memanfaatkan, melestarikan alam, menjaga ketahanan lingkungan alam, ekosistem dan memperkuat akses perempuan terhadap pemanfaatan sumber daya alam. Kedua, menghilangkan resistensi perempuan dalam menyelesaikan permasalahan ekologi melalui penghapusan tindakan patriarki dengan mendukung kebijakan pemerintah dalam memberantas pemakaian bahan kimia yang dilakukan kaum patriarki yang bersifat merusak ekosistem alam dan lingkungan.
Menjaga Keharmonisan Hubungan Perkawinan Hingga Pra-Lanjut Usia Melalui Komunikasi Interpersonal Efektif
Authors: Halila Azaria Ainun , Fauzan Latif Ahmad
Published: January 2025

Jumlah kasus perceraian di Jawa Timur masih tergolong tinggi, salah satunya di Kabupaten Malang yang menjadi wilayah dengan kontribusi kasus terbesar. Perceraian disebabkan oleh berbagai faktor, salah satunya adalah komunikasi yang tidak berjalan dengan baik, sehingga memicu konflik berkepanjangan. Penelitian ini bertujuan untuk menganalisis peran komunikasi interpersonal dalam menjaga keharmonisan hubungan perkawinan pada pasangan pra-lanjut usia di Kecamatan Dampit, Kabupaten Malang. Metode yang digunakan adalah kualitatif deksriptif dengan melakukan wawancara mendalam kepada pasangan yang telah menikah selama lebih dari 25 tahun dan juga pasangan yang telah bercerai. Hasil penelitian menunjukkan bahwa komunikasi yang efektif mencakup keterbukaan, empati, sikap positif, dukungan, dan kesetaraan, berpengaruh dalam penyelesaian konflik serta membangun rasa saling percaya antara pasangan. Selain itu, kasih sayang, keikhlasan, penerimaan, dan saling menghormati juga menjadi faktor penting dalam menciptakan keharmonisan. Komunikasi yang buruk dapat memicu depenetrasi sosial, yang menyebabkan hubungan menjadi dangkal, kurang intim, dan berujung pada perceraian. Hal ini menegaskan pentingnya keterbukaan dalam komunikasi untuk menjaga keintiman dan mendukung kelangsungan hubungan jangka panjang.
 Kata kunci: Komunikasi Interpersonal; Keharmonisan; Perkawinan; Pasangan Pra-Lanjut Usia; Penetrasi Sosial
KOMUNIKASI INTERPERSONAL KORBAN LOVE BOMBING SEBAGAI BENTUK KEKERASAN BERBASIS GENDER
Authors: Annisya Annisya Ayu Azzahra , Rahmawati Dian Hutami
Published: January 2025

ABSTRAK
Jenis perilaku manipulatif dalam hubungan yang dikenal sebagai love bombing adalah ketika seseorang berfokus pada mengendalikan pasangannya. Informasi dikumpulkan melalui wawancara mendalam dengan informan yang berkomentar dalam komunitas @SBYFESS, yang dipilih secara purposif berdasarkan pengalaman "bom cinta" korban. Metode penelitian ini menggunakan pendekatan studi kasus kualitatif. Hasil penelitian menunjukkan bahwa "bom cinta" adalah jenis kekerasan psikologis yang kompleks yang memengaruhi komunikasi interpersonal korban melalui pola manipulasi emosional, kontrol, dan penurunan kepercayaan diri. Hasil penelitian menunjukkan bagaimana pelaku membuat ketergantungan emosional dan berkomunikasi dengan cara yang merendahkan martabat korban. Penelitian ini mendukung pemahaman teoritis tentang dinamika kekerasan berbasis gender dalam komunikasi interpersonal.
Kata Kunci: love bombing, kekerasan berbasis gender, komunikasi interpersonal, manipulasi emosional
Peran Asistensi Mengajar Dalam Memotivasi Siswa Sekolah Dasar Untuk Berwirausaha: Studi Kasus SDN 36 Nggarolo
Authors: Jaenab Jaenab , Huda Nurul , Syari Indah , Maidah Nufus Al , Nulhaq Firman
Published: January 2025

Kegiatan ini menggunakan studi kasus SDN 36 Nggarolo untuk menyelidiki peran asistensi mengajar dalam mendorong siswa sekolah dasar untuk berwirausaha. Keterampilan wirausaha menjadi salah satu keterampilan penting yang harus dipelajari sejak dini di era globalisasi yang semakin kompetitif. Siswa memiliki kesempatan untuk belajar secara langsung dari guru melalui program asistensi mengajar, yang berfokus pada keterampilan kewirausahaan seperti pengambilan keputusan, manajemen risiko, dan kreativitas. Studi ini menemukan bahwa asistensi mengajar di SDN 36 Nggarolo mendorong siswa untuk berpikir lebih inovatif dan kreatif. Ini ditemukan melalui metode observasi dan wawancara. Kegiatan ini diselenggarakan oleh mahasiswa peserta KKN-T MBKM dan di bimbing oleh 2 (dua) dosen pembimbing lapangan  Sekolah Tinggi Ilmu Ekonomi (STIE) Bima pada bulan September 2024.  Program ini juga meningkatkan kepercayaan siswa dalam memulai usaha kecil. Hasil penelitian menunjukkan bahwa guru yang terlibat secara aktif dalam program asistensi mengajar dapat membuat pendidikan menyenangkan dan relevan, sehingga menumbuhkan minat siswa untuk mengeksplorasi dunia wirausaha.
Strategi Kuliah Kerja Nyata Dalam Meningkatkan Kesadaran Gotong Royong di Masyarakat Desa Sungai Raya
Authors: Ginting Fiber Yun Almanda , Sihite Lusito , Ginting Ayu Destria Rehmalemna , Sitepu Harty Erima Br , Silitonga Lilis Naomi , Purba Pelevia Enjelina , Waruwu Dian Kristiani , Simarmata Monica Febriati , Sitanggang Heppy Ester
Published: January 2025

Pengembangan masyarakat melalui program Kuliah Kerja Nyata (KKN) di Desa Sungai Raya, Kecamatan Siempat Nempu Hulu, Kabupaten Dairi, merupakan upaya strategis untuk memperkuat kapasitas dan kesejahteraan masyarakat lokal. Program ini dirancang untuk memfasilitasi partisipasi aktif mahasiswa dalam berbagai kegiatan pemberdayaan, seperti pendidikan, kesehatan, ekonomi kreatif, dan pelestarian lingkungan. Metode pada pengabdian ini menggunakan metode service-learning. Tim pengabdian membantu menggali potensi lokal dan mengatasi tantangan yang dihadapi oleh masyarakat. Hasil dari program ini menunjukkan adanya peningkatan kesadaran dan keterampilan masyarakat dalam bidang-bidang tersebut, yang berdampak pada peningkatan kualitas hidup dan keberlanjutan pembangunan di Desa Sungai Raya. Program KKN ini juga menjadi wadah bagi mahasiswa untuk menerapkan ilmu pengetahuan yang telah diperoleh di bangku kuliah dalam konteks nyata, sekaligus memperkuat hubungan antara perguruan tinggi dan masyarakat.
Pembuatan Tanaman Obat Keluarga (TOGA) Pada Kelompok Wanita Tani (KWT)
Authors: Ghiffari Habibie Deswilyaz , Julianto Tommy , Budiasih Sri , Ayu Amelia  , Gusmali Desy Maniarti
Published: January 2025

Tanaman Obat Keluarga (TOGA) pada hakekatnya adalah tanaman berkhasiat yang ditanam di lahan pekarangan yang dikelola oleh keluarga. Ditanam dalam rangka memenuhi keperluan keluarga akan obat-obatan tradisional yang dapat dibuat sendiri. Pembuatan Tanaman Obat Keluarga (TOGA) di Pulau Panjang oleh kelompok wanita tani (KWT) dengan tujuan meningkatkan kesehatan masyarakat melalui pemanfaatan tanaman obat. Masalah yang dihadapi adalah akses terbatas terhadap layanan kesehatan di daerah pedesaan, yang mendorong masyarakat untuk beralih ke pengobatan tradisional. Metode yang digunakan meliputi pemilihan tanaman obat yang sesuai, persiapan lahan, penanaman, dan pemeliharaan tanaman, dengan fokus pada tanaman rimpang seperti jahe, kunyit, dan kencur yang dikenal memiliki khasiat dalam mengatasi masalah kesehatan, termasuk hipertensi. Hasil dari kegiatan ini menunjukkan peningkatan pengetahuan masyarakat tentang penggunaan tanaman obat serta pemanfaatan lahan kosong untuk tujuan kesehatan melalui tanaman obat keluarga ini.