bluuebunny/crossref_metadata_2025 huggingface dataset:
Trends, Influence Factors, and Doctor-Patient Perspectives of Web-Based Visits for Thyroid Surgery Clinical Care: Cross-Sectional Study
Authors: Wang Xinyi , Su Anping , Liu Feng , Gong Yanping , Wei Tao , Gong Rixiang , Zhu Jingqiang , Li Zhihui , Lei Jianyong
Published: October 2023

Background

In recent years, the new generation of telecommunication technologies has profoundly changed the traditional medical industry. To alleviate the medical difficulties faced by patients with thyroid diseases, hospitals have opened web-based visits and actively combined online-to-offline outpatient services.

Objective

This study aims to explore differences between office and web-based outpatient services from doctors’ and patients’ perspectives, illustrate the effect of the COVID-19 pandemic on outpatient services, and provide clues for improving the online-to-offline mode of care for patients with thyroid diseases.

Methods

We collected the complete web-based and office outpatient records of the Thyroid Surgery Center of West China Hospital. A total of 300,884 completed patient encounters occurred (201,840 office visits and 99,044 web-based visits) from January 1, 2019, to May 31, 2022. We performed logistic regression to evaluate the association between the chosen visit type and patients’ sociodemographic characteristics.

Results

The number of web-based visits rapidly increased since March 2020 and reached 45.1% (4752/10,531) of all encounters in December 2021. The COVID-19 pandemic dramatically accelerated the development of web-based visits. Web-based visits were preferred by patients 18-45 years old (odds ratio [OR] 2.043, 95% CI 1.635-2.552, P<.001), patients with relatively high-paying jobs (technical staff: OR 1.278, 95% CI 1.088-1.479, P=.003; office clerk: OR 1.25, 95% CI 1.07-1.461, P=.005; national public servant: OR:1.248, 95% CI 1.042-1.494, P=.02), and patients living in Sichuan Province (excluding Chengdu; OR 1.167, 95% CI 1.107-1.23, P<.001). The medicine cost (P<.001) and examination cost (P<.001) of office visits were significantly higher than those of web-based visits.

Conclusions

Web-based outpatient visits have increased rapidly in recent years, and the COVID-19 pandemic has boosted their development. The preference for web-based visits was influenced by the socioeconomic and demographic characteristics of both patients and doctors.
Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study (Preprint)
Authors: Sung Sumi , Kim Youlim , Kim Su Hwan , Jung Hyesil
Published: October 2023

BACKGROUND

Few studies have used standardized nursing records with Systematized Nomenclature of Medicine–Clinical Terms (SNOMED CT) to identify predictors of clinical deterioration.

OBJECTIVE

This study aims to standardize the nursing documentation records of patients with COVID-19 using SNOMED CT and identify predictive factors of clinical deterioration in patients with COVID-19 via standardized nursing records.

METHODS

In this study, 57,558 nursing statements from 226 patients with COVID-19 were analyzed. Among these, 45,852 statements were from 207 patients in the stable (control) group and 11,706 from 19 patients in the exacerbated (case) group who were transferred to the intensive care unit within 7 days. The data were collected between December 2019 and June 2022. These nursing statements were standardized using the SNOMED CT International Edition released on November 30, 2022. The 260 unique nursing statements that accounted for the top 90% of 57,558 statements were selected as the mapping source and mapped into SNOMED CT concepts based on their meaning by 2 experts with more than 5 years of SNOMED CT mapping experience. To identify the main features of nursing statements associated with the exacerbation of patient condition, random forest algorithms were used, and optimal hyperparameters were selected for nursing problems or outcomes and nursing procedure–related statements. Additionally, logistic regression analysis was conducted to identify features that determine clinical deterioration in patients with COVID-19.

RESULTS

All nursing statements were semantically mapped to SNOMED CT concepts for “clinical finding,” “situation with explicit context,” and “procedure” hierarchies. The interrater reliability of the mapping results was 87.7%. The most important features calculated by random forest were “oxygen saturation below reference range,” “dyspnea,” “tachypnea,” and “cough” in “clinical finding,” and “oxygen therapy,” “pulse oximetry monitoring,” “temperature taking,” “notification of physician,” and “education about isolation for infection control” in “procedure.” Among these, “dyspnea” and “inadequate food diet” in “clinical finding” increased clinical deterioration risk (dyspnea: odds ratio [OR] 5.99, 95% CI 2.25-20.29; inadequate food diet: OR 10.0, 95% CI 2.71-40.84), and “oxygen therapy” and “notification of physician” in “procedure” also increased the risk of clinical deterioration in patients with COVID-19 (oxygen therapy: OR 1.89, 95% CI 1.25-3.05; notification of physician: OR 1.72, 95% CI 1.02-2.97).

CONCLUSIONS

The study used SNOMED CT to express and standardize nursing statements. Further, it revealed the importance of standardized nursing records as predictive variables for clinical deterioration in patients.
Distribution Pattern and Activities of Felidae and Prey in Bukit Rimbang Bukit Baling Wildlife Reserve, Riau
Authors: Saktyari Leonardus Adi , Imron Muhammad Ali , Widodo Febri Anggriawan , Nurvianto Sandy
Published: October 2023

The interaction between predators and prey has resulted in population dynamics and played a crucial role in maintaining species' populations within ecosystems. This research aimed to identify distribution and activity patterns to understand prey-predator interactions and the effect of environment and prey density on Felidae presence at Bukit Rimbang Bukit Baling Wildlife Reserve (BRBB WR), as an essential area for maintaining large mammal habitats in Sumatra. The camera traps were systematically placed in the Northeastern part of BRBB WR to collect presence data. The prey-predator interaction analysis used kernel density in RStudio. The effect of environment and prey density on Felidae presence was analyzed using a generalized linear model (GLM). The results indicated that Felidae and prey exhibited a dispersed distribution pattern, showing high activity at night and day, respectively. The Sumatran tiger, clouded leopard, leopard cat, and mouse deer had the highest overlap time (>0.50). However, the environmental and prey density had statistically non-significant effects on the presence of Felidae. Human activities in the area potentially disrupted wildlife community dynamics, although this aspect was beyond the scope of this research. This research suggested further investigation of the effects of human activities on wildlife communities in BRBB WR.
The Influence of Maize Cluster Development Interventions on the Performance of Actors in Morogoro Region, Tanzania
Authors: E. Kalumanga Venance , J. Mahimbo Fintan
Published: October 2023

This study aimed to investigate the influence of maize cluster development interventions on the performance of actors in Tanzania. Specifically, the study aimed at identifying types of interventions employed by actors of maize clusters, the influence of intervention on the performance of actors, and the challenges facing actors of maize clusters in the study area. Descriptive analysis, linear regression analysis, and word clouds analysis were used to analyze the findings. Results show the common types of interventions employed by actors of maize clusters are; proper seed spacing, capacity building, control of aflatoxin, and marketing. Upon linear regression results show, that technological support, networking, and marketing were reported as interventions of high influences on actors of maize clusters with p-values of (0.01, 0.02, and 0.02) respectively. However, the key challenges reported to face actors of maize clusters in the study area were: lack of funds to buy agricultural inputs, limited access to financial resources, lack of transparency among cluster leaders, shortage of market, lack of coordination among respective research institutions and poor communication among actors. Regardless of different interventions to support actors of the maize cluster still challenges exist and some of them are part of the employed interventions. Thus different transformative participatory strategies are required to be vested among actors of maize clusters in Morogoro regions and other areas of the country for proper performance of the maize cluster and economic development of the country.
An Exploration of ‘Married Love’ by Tessa Hadley
Authors: Halim Shanjida , Halim Tanzina
Published: October 2023

One of the most accomplished fiction writers of the twenty-first century, the British writer Tessa Hadley (1956-till present), is known for her exceptional power of seizing the familiar moments in our life that we would normally not think of highlighting. She is the author of several acclaimed novels and short stories such as Accidents in the Home, Everything Will Be All Right, The Master Bedroom, The London Train, Clever Girl, The Past, Late in the Day, Free Love, Married Love and Other Stories, Bad Dreams, etc. Capturing the beauty of ordinary lives, she writes about the drama of everyday life: complicated family relationships, love affairs, marriages, divorces, and betrayal.
¿Cómo como? Prevención de la obesidad infantil
Authors: Fonseca Torres Ana Karen
Published: October 2023

La condición de pandemia por la enfermedad infecciosa de COVID 19 ha impactado los hábitos de consumo de alimentos y la rutina diaria de las familias. Los hábitos alimentarios no han sido la excepción, la compra de alimentos en línea, la preparación en casa de alimentos y la reducción de la actividad física, mantiene los índices de obesidad en la población, en particular en los menores de edad cuya actividad se reduce al espacio de casa y al uso de aparatos digitales. Las estrategias de prevención de la obesidad infantil se enfocan principalmente en la alimentación y el ejercicio, además de evitar el consumo de los productos procesados y en la medida de lo posible impedir que estén como reserva en la despensa, además de involucrar a los miembros de la familia en la elaboración de alimentos y prepararlas de forma creativa, son ejemplos de lo que se ha propuesto para este combate. En el presente trabajo se muestran tres estrategias empleadas en programas de prevención con estrategias psicoeducativas que contiene información relevante y propuesta de cambio en beneficio del individuo.
Endolisinas fágicas como herramientas moleculares contra las bacterias Gram-negativas
Authors: Juárez-Cortés María Zulema , Castellón-Avalos Marinelys , Zermeño-Cervantes Lina Angélica , Cardona-Félix César Salvador
Published: October 2023

Las enzimas líticas codificadas por los bacteriófagos o fagos (endolisinas), actualmente se evalúan como una alternativa para combatir a las bacterias patógenas. El carácter antibacteriano de estas enzimas, resulta de su capacidad para hidrolizar el peptidoglucano que compone la pared celular bacteriana. Las endolisinas se caracterizan por su reducido espectro de acción, rápido efecto bactericida, baja probabilidad de desarrollar resistencia y por su efectividad contra los patógenos multirresistentes. Gracias a la accesibilidad de las plataformas de secuenciación y a los análisis masivos de datos, se han identificado una gran cantidad de genes codificantes de endolisinas. Por otro lado, la actividad bactericida de estas enzimas se puede incrementar al manipular sus dominios funcionales, a través de la ingeniería de proteínas. En particular, esta manipulación amplía su espectro de acción contra las bacterias Gram-negativas, las cuales en su mayoría son insensibles a su efecto debido a la baja permeabilidad de su membrana externa que limita el contacto con la pared celular. Es así que, la fusión de los péptidos permeabilizadores de la membrana externa ha expandido su aplicación contra los patógenos Gram-negativos de prioridad crítica. A la fecha, existen numerosos grupos de investigación internacional que se destacan por el desarrollo tecnológico que realizan y el resultado son las patentes en este campo. Sin embargo, en México es una línea de investigación poco explorada. El objetivo de este trabajo es, difundir esta nueva generación de antibacterianos.
Determination of lead in different brands of lipsticks marketed in Mexico
Authors: Rodríguez  Rosalío Vania Montserrat , Ríos  Castañeda Aldair Jesús , Paz Piña Carlos , Peña  Rodríguez José Javier , Gama Lara Sergio Arturo , Zamora Antuñano Marco Antonio
Published: October 2023

Cosmetics have become a common use product among people around the world being the reason why it is important to know their components specifically, the presence of heavy metals. The content of lead in branded lipsticks was analyzed due to the cause of a large number of diseases and disorders in users. The study was aimed at assessing the levels of lead concentration in 5 lipsticks of different brands sold in Mexico but produced in different countries. Characterization was carried out through a flame atomic absorption spectrophotometry in which the analyses showed the presence of lead in all the samples with a concentration ranging between 1.1775 ppm to 1.8242 ppm, with an average concentration of 1.457ppm, these concentrations are within the average parameter established by the FDA (Food and Drug Administration). However, lead content in daily products, even if it is below the established limit, can be harmful to health. Besides, carrying out an analysis of various investigations we can conclude that the lead concentration in lipsticks produced in the first world countries is lower than the one in those distributed in the developing countries. As a result, it is suggested the research for new components that can avoid the presence of lead, that are sustainable and don´t constitute potential health risk to users.
Employee profile and labor turnover in outsourcing companies: A data mining approach
Authors: Márquez Hermosillo Abigaíl , Felipe Rodríguez Luis , Salazar Lugo Guillermo , Borrego Gilberto
Published: October 2023

Data mining can be applied to seek hidden information on large volumes of data. On Human Resources Management, it helps to identify reasons behind turnover and employee behavior. That knowledge leads to identify unwanted employee profiles and help to improve personnel selection processes, which are a media to reduce the turnover rate in companies. In this paper we analyzed the situation of a Human Resources Outsourcing company and tested various data mining techniques to compare which presented a better performance and had a better suitability to classify labor turnover on low skill employees of an outsourcing company. A limitation for this research was the partial absence of sociodemographic data in the employees data bases as well variables related to organizational climate and culture. Through the CRISP-DM methodology we created and evaluated different classification models and obtained a list of relevant characteristics of employee’s profiles prone to turnover. The results showed that Age, Salary, Location and Work Experience in Time and Area are key factors which help to classify turnover and can be used to suggest personnel selection policies to the company. This research implied the analysis of a Human Resources Outsourcing company and low skill employee’s data, of which little research has been done in both approaches. The results obtained can help other companies with low skill employees or even other Human Resources Outsourcing to have a framework of where to start to get data of employees and analysis the profiles prone to turnover
Temporal variation of a plant-floral visitor network in a temperate forest in Michoacán, Mexico
Authors: Tavera Arturo , De Santiago-Hernández Martín H. , Cuevas Eduardo
Published: October 2023

The ecological network approach allows the analysis of interactions between plant communities and their floral visitors. However, most floral visitation network studies analyze the interactions with a temporally-static perspective. Hence, few studies have evaluated the temporal variation of these systems. This study characterized the plant-floral visitor interaction network of a temperate forest remnant in Michoacán, analyzing monthly changes in its composition, structure, and dynamics during 3 seasons of the year. In total, we recorded 1,325 floral visits and 131 links between 27 plant species and 74 floral visitor species. Most of the plant species observed belong to the families Lamiaceae, Asteraceae, and Apiaceae, while most of the floral visitor species observed belong to the orders Hymenoptera, Lepidoptera, and Diptera. Most of the floral visits were recorded in highly abundant plant species with longer flowering periods at the study site. The constant species turnover gave rise to monthly plant-floral visitor networks with different levels of specialization, connectance, nestedness, and modularity. Our results suggest that plant-floral visitor networks in temperate forest remnants are highly dynamic and poorly connected, which makes them vulnerable to drastic changes in the environment.
Taxonomic revision of the Stenopelmatus talpa species group (Orthoptera: Stenopelmatidae: Stenopelmatini)
Authors: Suastes-Jiménez Miguel Ángel , Barrientos-Lozano Ludivina , Gutiérrez-Rodríguez Jorge , Jasso-Martínez Jovana M. , Zaldívar-Riverón Alejandro
Published: October 2023

We carried out a taxonomic revision of the Stenopelmatus talpa species group (Stenopelmatidae: Stenopelmatini), a poorly studied group of orthopterans whose species are distributed along the Trans-Mexican Volcanic Belt and adjacent areas of the Sierra Madre Oriental and Sierra Madre del Sur in Central Mexico. We examined both features from both the external morphological and male internal genitalia, and also carried out a molecular species delimitation based on DNA barcoding. An integrative approach based on congruence of morphological and molecular evidence helped to delimit 9 species for the S. talpa species group, 7 of which are new to science whereas the remaining 2 are already described, S. talpa and S. typhlops. We described 4 out of the above 7 new species: Stenopelmatus chilango sp. nov., S. purepecha sp. nov., S. sierragordaensis sp. nov. and S. tlaxcalli sp. nov. A key to the described species of the S. talpa species group is provided. Our study highlights the relevance of the male internal genitalia as a valuable character system to delimit species in Stenopelmatus.
Conservation genetics of the protected candy barrel cactus Echinocactus platyacanthus in the Chihuahuan Desert Region
Authors: Figueroa-Cabañas Mónica , Bárcenas Rolando T.
Published: October 2023

Three main genetic diversity hotspots were identified in a survey of the genetic variability of the populations of the candy barrel cactus Echinocactus platyacanthus, a protected and highly sought-after cacti for ornamental, culinary and livestock water source in the Chihuahuan Desert Region, Mexico. This study identified one southern, one central, and one northern population in the Chihuahuan Desert Region as first priorities for conservation based on the analysis of a matrix of 4 ISSRs for 183 individuals from 10 localities along the 900 × 300 air km polygon of the geographic distribution of the species. The genetic structure of the 183 individuals from the 10 populations studied, showed a high degree of genetic differentiation for each of the localities with low gene flow, making each of these populations important for conservation actions. The isolation by distance analysis showed that other factors apart from the geographic distance could be playing an important role in the differentiation of the genetic structure of the populations. The UPGMA tree derived from the genetic distance matrix showed that the central and the southern populations conform a mega genetic population clearly separated from the northern populations, each with its own genetic signature.
Dolarización, banca privada y rentabilidad financiera en Ecuador
Authors: Ribeiro de Freitas Meireles Monika , Rivera Cortez Gabriela
Published: October 2023

El objetivo del presente trabajo es analizar el comportamiento de la banca privada ecuatoriana durante el periodo 2000-2021, utilizando información agregada de tendencias del sector bancario y datos contables para los principales bancos. En un abordaje teórico-histórico en clave heterodoxa, se destaca la concatenación entre las reformas estructurales de orientación neoliberal, la crisis bancaria, la dolarización y las trasformaciones del sector bancario. Entre los resultados encontrados, subrayamos que la operación de la banca ecuatoriana bajo la dolarización formal no solo reedita conocidos elementos de la vieja fragilidad financiera, sino trae novedosas variables típicas del universo banca­rio del siglo xxi que son fuente de inestabilidad y que obstaculizan los objetivos de financiamiento para el desarrollo socioeconómico del país.
Presentación
Authors: Provencio Durezo Enrique , Cordera Campos Rolando
Published: October 2023

Esta entrega entrega de la colección “Informe del Desarrollo en México” del Programa Universitario de Estudios del Desarrollo (PUED) de la Universidad Nacional Autónoma de México (UNAM) busca recuperar y poner en el centro de la discusión el concepto «Desarrollo» en tanto proyecto e idea fuerza que ayude a reconocer y transformar la realidad de nuestro país en pleno siglo XXI.
Desigualdad, crecimiento económico y poder en América Latina: un diálogo imaginario
Authors: Cortés Cáceres Fernando Alberto
Published: October 2023

El propósito de este trabajo es revisar las dos grandes corrientes teóricas que han tratado sistemáticamente los vínculos entre desigualdad en la distribución del ingreso y el crecimiento económico en América Latina. Al mismo tiempo es entender, a partir de dicha revisión, sus diferencias y coincidencias, especialmente en lo relativo a sus propuestas de política económica y social. Uno de estos enfoques se origina en el seno de la investigación académica de corte histórico, realizada por Simon Kuznets. Esta dio sustento conceptual en nuestra región, en las tres últimas décadas del siglo xx, al lema “la desigualdad es buena para el crecimiento económico”. El otro ha sido desarrollado en el seno de la Comisión Económica para América Latina y el Caribe (CEPAL). Su origen se remonta a los trabajos pioneros de Raúl Prebisch, construidos con base en el análisis de la evolución económica y social de nuestros países.
Una revisión de los antecedentes al debate actual del desarrollo
Authors: Vázquez Maggio Mónica Laura
Published: October 2023

El presente capítulo tiene como objetivo hacer una revisión de una selección de ideas y textos de los antecedentes al debate actual del desarrollo. De ninguna manera es una revisión exhaustiva y completa; esa sería una tarea titánica. Es un paseo por algunos de los pensamientos de algunos de los clásicos del desarrollo con el objetivo de dar unas pinceladas a modo de recordatorio de las explicaciones y respuestas que dieron estos autores a la pregunta central del desarrollo hace ya más de 50 años y que muchas de ellas tienen una vigencia abrumadora.
El reto de medir bienestar
Authors: Huffman Espinosa Curtis , Nájera Catalán Héctor Ernesto , Yaschine Arroyo Iliana
Published: October 2023

La noción de bienestar es central en el discurso político y de política social de la actual administración federal mexicana. Desde el posicionamiento gubernamental, este énfasis se asocia con la intención de proponer un nuevo paradigma que oriente las acciones públicas. Dicho cambio se describe en los documentos oficiales como un distanciamiento respecto a la orientación que tuvo la política nacional a partir de la década de 1980. En materia de política social, la propuesta gubernamental plantea alejarse de lo que considera fue el énfasis de las administraciones previas en acciones focalizadas a nivel individual contra la pobreza y de su visión minimalista de las metas sociales. Se propone una agenda que conduzca al bienestar, entendido como el ejercicio de derechos humanos a partir de la construcción de un sistema de bienestar universal. Esto priorizando la atención a grupos sociales históricamente vulnerables, bajo el lema “por el bien de todos, primero los pobres”.
A Blockchain-Based Approach for Drug Traceability in Healthcare Supply Chain
Authors: . Reshma
Published: October 2023

Abstract: Healthcare supply chains are complex structures spanning across multiple organizational and geographical boundaries, providing critical backbone to services vital for everyday life. The inherent complexity of such systems can introduce impurities including inaccurate information, lack of transparency and limited data provenance. Counterfeit drugs is one consequence of such limitations within existing supply chains which not only has serious adverse impact on human health but also causes severe economic loss to the healthcare industry. Consequently, existing studies have emphasized the need for a robust, end-to-end track and trace system for pharmaceutical supply chains. Therein, an end-to-end product tracking system across the pharmaceutical supply chain is paramount to ensuring product safety and eliminating counterfeits. Most existing track and trace systems are centralized leading to data privacy, transparency and authenticity issues in healthcare supply chains. In this article, we present an Ethereum blockchain-based approach leveraging smart contracts and decentralized off-chain storage for efficient product traceability in the healthcare supply chain. The smart contract guarantees data provenance, eliminates the need for intermediaries and provides a secure, immutable history of transactions to all stakeholders. We present the system architecture and detailed algorithms that govern the working principles of our proposed solution. We perform testing and validation, and present cost and security analysis of the system to evaluate its effectiveness to enhance traceability within pharmaceutical supply chains.
Smart Street Lights: Advancements in Street Lighting Technology
Authors: Dhulipalla Sravani , Kota Sruthi Samhitha , Meesala Manisha , Kandhukuri Sahithi
Published: October 2023

Abstract: This system is primarily designed to efficiently manage LED-based street lights using automatic intensity control. It accomplishes this by harnessing solar power through photovoltaic cells. The primary goal is to ensure that street lights shine brightly during peak hours, when traffic is at its busiest, while gradually reducing their intensity during late-night hours to conserve energy. This automation ensures that the street lights automatically turn on at dusk and turn off at dawn. White Light Emitting Diodes (LEDs) are employed as a replacement for High-Intensity Discharge (HID) lamps, offering the advantage of intensity control through pulse width modulation. This intensity control feature allows for energy conservation during late-night hours when street traffic is minimal.
Machine Learning Approach for Spectral Signature Based Chemical Composition Analysis using Hyperspectral Data
Authors: Dhole Pravin V. , Dhangar Vijay D. , Shejul Sulochana D. , Gawali Prof. Bharti W.
Published: October 2023

Abstract: Number of techniques to identify falsified medications, including thin layer chromatography (TLC), analytical methods, eye examination, and the use of sophisticated labs with strong equipment and technical specialists. Such techniques take more time and call for sophisticated labs, specialized specialists in that field, and sample preparation. This research uses hyperspectral data to develop a spectral pattern for identifying falsified medications. Near infrared spectroscopic techniques are commonly used for this task because of their many advantages. For this research, we used the wide spectral range ASD Field Spec4 Spectroradiometer (350-2500 nm). We chose 43 solid pharmaceutical medicines from various brands for our task. The tablet powder has been altered by adding various amounts of calcium carbonate (CaCO3) to imitate falsified medicines. Then, we gather the spectral signature throughout all stages of contamination and use machine learning categorization methods to assess it. Partial least squares regression has a remarkable accuracy rate of 98.9% for hyperspectral data with NIR spectroscopy, while logistic regression, support vector machines, and random forests all provide accuracy of 75%. This hyperspectral data coupled with a database of pharmaceutical spectra creates a practical field-testing method to identify fake medications that is quick, simple to use, and requires no technological expertise.
Predicting Solar Potential: A Comprehensive Analysis of On-Grid Rooftop Solar PV System through HelioScope Design
Authors: Shaw Vivek Kumar
Published: October 2023

Abstract: This work focuses on designing an MWh generating On-grid Solar PV system installed in Mangalpally, Hyderabad. Regionally, this location receives 5.5 kWh/sq.mts/day of Solar Energy on an average. The main objective of this paper is to designing and simulation of a Solar PV system using a methodology that is capable of analysing the performance in an optimizable way irrespective of the capacity of the PV plant. Such software is HelioScope- a web-based software developed by Folsom Labs. This paper uses HelioScope methodology for simulation for assess and estimate of the Solar Energy Production. The results verify the Solar PV generation of the considered installation area.
The Third Eye for the Blind
Authors: Bhagane Krutika Prakash , Bahad Uttara , Sardana Rishika , Chalke Sakshi Sanjay , Bavkar Mr. Dnyaneshwar
Published: October 2023

Abstract: A technical advancement knows as “The third eye for the blind” enables the blind people to travel with confidence and speed by employing ultrasonic waves to identify obstructions in their environment and notifying them with a buzzer sound or vibration. This item is simply a wristband or a piece of fabric that can be worn. The tool operates by projecting ultrasonic waves in the user’s direction. These waves are reflected to the gadget when they strike an object. The device then calculates the distance to the objects by measuring the amount of time it takes for the waves to go there and return. The third eye for the blind is a promising new automation that has the potential to greatly improve the lives of blind individuals. It allows them to navigate their surroundings with greater confidence and safety, and it can help them to live more independent and fulfilling lives
Implementasi Good Government Sebagai Upaya Pencegahan Fraud Dalam Pengelolaan Keuangan Desa
Authors: Ira Megasyara  , Amrizal Imawan
Published: October 2023

Purpose: This study aims to explore and reveal the application of the principles of good governance as an effort to prevent fraud in managing village government finances.
Methodology/approach: This research is a qualitative research with an interpretive approach and to obtain the data using interviews and observations. Data collection was carried out by conducting in-depth interviews with informants who understood the research theme and could provide information and be involved in managing village finances, namely the village chief and the chairman of the village consultative body. Besides that, researchers also made observations and documentation related to evidence that supports the implementation of the principles of Good Corporate Governance (GCG) in managing village finances.
Findings: The results of this study are that the village government has implemented the principles of good governance, namely community participation, budget transparency and policy programs, accountability as well as discipline and order in every stage of village financial management starting from the stages of planning and budgeting, program implementation and reporting or accountability, implementation of the principles of good governance has proven to be able to prevent acts of fraud in managing village finances. Because the community has access to oversee and supervise the village government in managing village finances. So that there is loophole to commit fraudulent acts.
Practical implications: The implication of this research is that village governments must be creative and continue to improve the quality of good governance.
Originality/value: Using the Good Government (GG) theory to prevent fraud in village financial management
Liquidity Risk And Basel III Implementation In Southeast Asia Banking
Authors: Shonhadji Nanang , Irwandi Soni Agus
Published: October 2023

Purpose: The objective of this study was to determine the effect of liquidity coverage ratio, net stable funding ratio, net interest margin, and cost of funds on return on assets in Southeast Asian countries' banking services.
Methodology/approach: This research was a quantitative research method. Secondary data was used and collected from stock exchanges in each country. Samples were banks in Indonesia, Malaysia, Cambodia, Philippines, Singapore and Thailand. The data testing technique uses multiple linear regression analysis.
Findings: The study inform that net stable funding ratio, liquidity coverage ratio, net interest margin and cost of funds have a significant effect on return on assets.
Practical implications: The practical implications were BASEL III implementation to manage liquidity risk and capital in each country have successfully and encourage compliance with bank liquidity and capital aspects according to the framework of BASEL III to enhance the financial performance of banks in Southeast Asian countries.
Originality/value: Research on the application of BASEL III in Southeast Asian Countries as a framework that establishes international standards for bank capital adequacy, stress testing, and liquidity requirements is the originality of this research.
The Islamic Religiosity And Financial Well-Being: A Moderated Mediation Model Of Financial Behavior And Literacy
Authors: Mulyadi Mulyadi , Oktrivina Amelia , Hendryadi Hendryadi , Hendratni Tyahya Whisnu
Published: October 2023

Purpose: By testing a moderated mediation model, this study aims to examine the mediating role of financial behavior in the relationship between Islamic religiosity, financial behavior, and financial well-being. The study also examines if financial literacy moderates this effect.
Methodology/approach: The PROCESS macros version 4.0 was used to assess the hypothesized model based on data from 247 college students.
Findings: The findings show that Islamic religiosity influences students' effective financial behavior and well-being. As expected, this study also confirms that financial behavior mediates the effect of Islamic religiosity on financial well-being, and financial literacy mediates this relationship. The role of Islamic religiosity in predicting financial well-being is getting stronger when students have high levels of financial literacy, which has important implications for universities to integrate Islamic values in financial management curricula and courses.
Practical implications: The study's implications are directed at financial educators, not only providing financial knowledge to students but also integrating religious values so that they can form positive financial behavior to improve their quality of life in the future.
Originality/value: The present study is initial empirical evidence that specifically explores the relationship between Islamic religiosity and financial behavior and its relationship with financial well-being.
The Prime Enforcement of Tax Amnesty Regulation in Indonesia: Evidence from Tax Aggressive Firms
Authors: Permatasari Yani , Ngelo Agnes Aurora , Harymawan Iman , Cahyono Suham
Published: October 2023

Purpose: This study examines the response of tax aggressive companies to the prime enforcement of the tax amnesty in Indonesia. Specifically, this study examines their tax aggressive behavior in the period and post-period of tax amnesty.
Methodology/approach: The author(s) use all Indonesian companies in 2010-2018 listed in the IDX and analyze using logit and OLS regression analysis techniques.
Findings: The results suggest that companies that had been tax aggressive in the pre-period of a tax amnesty program are more likely to participate in Indonesia's prime tax amnesty program. Furthermore, we discover that those tax aggressive companies had become less aggressive in the period and post-period of tax amnesty. These findings are robust to several proxies of tax aggressiveness and Coarsened Exact Matching (CEM) method to handle potential endogeneity problems. We employ Indonesia's unique setting, one of a few developing countries that implement the tax amnesty successfully for the first time.
Practical implications: These findings are expected to provide evidence of the effectiveness of the tax amnesty implementation in Indonesia. The results could give insight for policymakers to thoroughly consider the costs and benefits of tax amnesty, and if there is a repeated implementation.
Originality/value: This study did not include any further test of the corporate governance mechanism involved in the relationship between tax aggressive companies and tax amnesty participation. Therefore, future studies could consider the limitations and address the issue.
Intellectual Capital Framework For University Based On Lamemba Accreditation Instrument
Authors: Ulum Ihyaul , Leniwati Driana , Oktavendi Tri Wahyu , Widyastuti Aviani
Published: October 2023

Purpose: The purpose of this research is to construct an intellectual capital framework university (ICFU) based on the accreditation instrument of the LAMEMBA study programme (Lembaga Akreditasi Mandiri Ekonomi, Manajemen, Bisnis, Dan Akuntansi).
Methodology/approach: The methods used in this research were focus group discussions (FGD) and in-depth interviews with a number of stakeholders in the implementation of the accreditation of LAMEMBA study programmes.
Findings: This research successfully constructed an intellectual capital framework for universities (ICFU) based on the LAMEMBA accreditation instrument.
Practical implications: This framework consists of three main components, namely human capital, structural capital, and relational capital with details of the number of each item are: human capital 35 items, structural capital 22 items, and relational capital 8 items.
Entre chuicos y damajuanas: Pauperización de la vida campesina en Ñuble (Chile), 1960-1980
Authors: De la Fuente Yévenes Romina
Published: October 2023

El estudio, a través de una metodología cualitativa, revisa algunos aspectos de la vida campesina durante la segunda mitad del siglo XX en la antigua provincia de Ñuble, identificando cómo la presencia del alcoholismo transformaba los espacios, ralentizaba la producción agrícola, violentaba a las familias de la época, y empobrecía a las comunidades. Este proceso, denominado pauperización, deja en evidencia uno de los aspectos de la ocupación humana en el campo chileno, en este caso el trastoque de los roles de los miembros de la familia campesina, donde el hombre dejaba de ser un proveedor y protector de la misma para convertirse por efecto del alcohol en un agente disruptor en la sociedad, plantea una posibilidad de análisis para determinar condiciones de pobreza en algunos sectores rurales de Ñuble.
NUMERICAL MODELLING OF WIND LOADS ON WINDOWS. VALIDATION FOR A HIGH-RISE SQUARE PLAN BUILDING
Authors: Goryachevsky Oleg
Published: October 2023

This paper presents the results of numerical and experimental modelling of mean and peak pressure coefficients for window assemblies on a rectangular building. The applicability of the SST and GEKO k-ω turbulence models implemented in ANSYS Fluent is investigated. A simple steady-state method for determining the peak wind pressures, which utilizes the turbulence kinetic energy calculation, is shown to be sufficient for practical purposes. A comparative analysis with the values of pressure coefficients given in the Russian building code is carried out. The obtained results can be used in the design of window assemblies of typical buildings.
THE EFFECT OF SOIL DENSIFICATION ON THE ATTENUATION OF THE PHENOMENON OF SOIL LIQUEFACTION IN A PORT PROJECT IN MOROCCO
Authors: Bziaz Mohamed , Bahi Lahcen , Ouadif Latifa , Bahi Anas , Sabihi Abdehak , Mansouri Hamou
Published: October 2023

Morocco, which is in a seismically active zone, is currently experiencing a significant development in terms of the realization of development and infrastructure projects. Therefore, reflection on soil liquefaction problems during project design is essential. The densification of soils by vibro compaction is a recent process of soil treatment, its effect is to improve the geo mechanical characteristics of the soil in this case the relative density and subsequently the reduction of the potential for liquefaction, it is a technique soil improvement in the mass, it is closely linked to the grain size of the soil to be treated, its percentage of fines less than 10% (going to 0.08 mm <10%), this technique gives the treated soil sufficient cohesion to avoid large increases in pore pressures during the earthquake. This article aims, through the study of a real case, to evaluate the effectiveness of vibro compaction to improve the relative density of the soil and consequently the reduction of the risk of liquefaction of the treated soil. The work focuses on the analysis of the SPT tests carried out before treatment and on the CPT tests of control of the vibro-compactge works carried out after execution. This study showed that this process generates an effect of improvement of the relative density and reduction of the compaction by inducing a reduction of the risk of liquefaction
MODELING OF LOADS FROM TSUNAMI WAVES ON THE STRUCTURE
Authors: Belash Tatiana , Yakovlev Anton
Published: October 2023

Currently, the improvement of methods for calculating building structures is continuing, including, among other things, methods for determining the magnitude of the load. Despite the fact that for most impacts, the principles of determining loads and methods from the application have been formed for a long time, a number of special tasks are sometimes encountered in design practice, for example, the impact of tsunami waves on a structure. This article is devoted to modeling the wave roll on a structure in the "Fluid Flow (Fluent)" module of the ANSYS 2021 software package and comparing the results obtained with the methodology presented in SP 292.1325800.2017 "Buildings and structures in tsunami-prone areas. Design rules". The studies presented in this article have shown that the nature of the propagation of hydrodynamic pressure when modeling wave rolling in ANSYS is similar to that presented in SP 292.1325800.2017: according to a triangular plot with maximum pressure at the bottom. But at the same time, the value of the maximum pressure on the joint venture is about 1.5 times greater than according to the calculation in ANSYS, which is explained by many different factors. But, despite this, modeling of the tsunami waves rolling on the construction site can be performed at the pre-project stage in order to assess the nature of the pressure distribution over the surface of the object, which will allow choosing the most suitable structural and space-planning solutions.
STATISTICAL MODEL OF AERODYNAMIC IMPACT ON THE LARGE-SPAN COVERAGE
Authors: Erofeev Vladimir , Ilyakhinsky Aleksandr , Nikitina Elena , Родюшкин Vladimir , Khazov Pavel , Satanov Andrey
Published: October 2023

The aim of the study was to study the possibility of using the Dirichlet distribution as a statistical model of the process of dynamic interaction of large-span structures with aerodynamic load. As an object of research, a model of a hangar building was chosen for the maintenance of two AirbusA-380 aircraft at a scale of 1: 500 blown in a wind tunnel at five directions of wind flow at angles of 0 °, 30 °, 45 °, 60 °, 90 ° to the front of the structure ... It is shown that the statistical model of the Dirichlet distribution has sufficient flexibility and realism and compares favorably with the models built on the basis of the normal distribution, beta distribution, gamma distribution and Poisson distribution when describing the processes of intense dynamic interaction of wind load with structural elements. The problem of finding an integral assessment of the state of the processes of interaction of the wind load with the hangar building for the maintenance of two aircraft was reduced to calculating the self-organization parameter of the distribution over the surface of the building model of the aerodynamic coefficients, which was taken as the ratio of the total weighted amount of the Dirichlet models detected in the analyzed numerical series of the registered signal i-th dimension with negative external entropy to the total weighted number of Dirichlet models with positive external entropy.

The study showed that the dimensionless informational and statistical indicator of self-organization makes it possible from a unified standpoint to assess the states that differ from each other in terms of external signs, the processes of interaction and their dynamics. The integral indicator can be used to rank the efficiency of operating systems and can be useful in assessing the state of the processes of dynamic interaction of the operating pressure and objects and structures of various shapes and purposes.
COUPLED HEAT AND MASS TRANSFER PROBLEM WITH DEPENDENT HEAT CONDUCTIVITY PROPERTIES AND ITS SEMI-ANALYTICAL SOLUTION
Authors: Sidorov Vladimir , Primkulov Alim
Published: October 2023

Present paper proposes a computation method for a coupled heat and mass transfer problem within the porous media where the heat conductivity properties of the media undergo changes caused by the mass transfer. Heat and mass transfer processes are coupled through the inclusion of evaporation and condensation phenomena which in turn require the solution to an another the vapour transfer problem. This complex coupled problem re-sults in a system of both linear and non-linear second order partial differential equations that are spatially discre-tized by Finite Element Method. Temporal integration is carried out analytically. Thus, the proposed system of equations covering linear vapor transfer problem, linear filtration problem and non-linear heat transfer problem is transformed into a system of both linear and non-linear first order ordinary differential equations being solved by semi-analytical method. Picard approach of successive iterations is used for linearization of the equations. Convergent solution is achieved which is demonstrated on a sample problem herein below. Proposed method gives good insight on the processes taking place within the structures being subjected to temperature and vapor pressure gradients, including the residual effects of moisture accumulation, and assesses its impact on heat con-ductivity of materials that the structures consist of. Present study is a part of more extensive research on the ap-plication of semi-analytical methods in heat transfer problems, therefore it is not exhaustive and complete. Shortcomings of the method and its possible work-arounds as well as the topics for further studies are discussed in Conclusions and Further Studies section.