bluuebunny/crossref_metadata_2025_split huggingface dataset:
Statistical Analysis of Traffic Noise Status in Dhanbad Township, Jharkhand, India
Authors: Debnath Abhijit , Singh Prasoon Kumar 
Published: April 2023

Abstract
Environmental noise is an unpleasant by product of urbanisation and industrial development. This undesirable sound causes serious negative effects on individuals, including hypertension, hearing loss, sleep difficulties, and has a detrimental effect on the environment. The current study on traffic noise was conducted from September to November 2016 at 15 locations using a sound level metre at various times of day, including morning (6 a.m. to 9 a.m.), morning (9 a.m. to 12 p.m.), afternoon (2 p.m. to 5 p.m.), evening (5 p.m. to 8 p.m.), and night (8 p.m. to 11 p.m. In addition, a road map was created using GIS to visualise the monitoring locations. The monitoring data showed that the highest and lowest average noise levels (LAeq) were 86.3 dB(A) [Govindpur] in the morning and 64.2 dB(A) [Vinod Vihari Chowk] in the night. A student's t-test was also conducted to see if there was a statistically significant difference between the means of the LAeq levels for the morning, afternoon, evening, and night. To determine the degree of significance, analysis of variance was also calculated for the examined squares in the morning, afternoon, evening, and night. The observed value of F critical was less than the F calculated values and was not significant at 5% levels of significance. In light of this, the noise levels in various squares did not considerably vary at various times. According to the analysis, the measured value surpasses the noise guidelines recommended by the CPCB and BIS, which is caused by excessive traffic, narrow roads, intense construction, and inadequate traffic management in the areas. Some hospitals, nursing homes, and educational institutions are also plagued by a very loud atmosphere.
Analyzing the Gravity Field of the Southern Desert of Iraq with its Possible Geological Implications Using Multi-Bidimensional Empirical Mode Decomposition Technique
Authors: Al-Bahadily Hayder A. , Al-Rahim Ali M. 
Published: April 2023

Abstract
The Southern Desert of Iraq covers a vast region in southwest Iraq. The stratigraphic column comprises relatively thick sedimentary strata, which overlay a Neoproterozoic basement and dip gently towards the northeast. The ground surface is depicted by intensive karst forms of variable dimensions, especially within carbonate rocks of the Dammam Formation (Middle-Upper Eocene). In the present study, we use the Bidimensional Empirical Mode Decomposition technique for analyzing the gravity field into multi-residual fields and one regional. Analyzing and interpreting the resultant fields utilizing the geological data are the aims of this study. A free download MATLAB code is applied to the gravity data of the Southern Desert which is designed to separate the two-dimensional gridded gravity map into three residual maps and a regional one. These maps may reflect depths at different levels; shallow, intermediate, deep, and near the Moho discontinuity, respectively. According to the available information about the geology of the area, the residual maps can be interpreted in terms of shallow-depth geological structures, which have an economic interest in hydrocarbon exploration, intra-basement structures, and variation in the density of the basement terranes. The regional map, however, is interpreted to be related to a deep-seated gravity source most likely near the Moho. Further, the results illustrate an obvious relation between some of the gravity positives, in the first residual map, and the drilled exploration wells. This suggests a delineation of newly prospected structural highs. In addition, the second residual map shows gravity negatives that probably delineate basement basins/sub-basins.
Class Exclusion and Reassembling: A Novel Approach for Improving Classification Accuracy in Remote Sensing Imagery
Authors: Kale Shashikant Rangnathrao , Holambe Raghunath , Chile Rajan 
Published: April 2023

Abstract
This paper introduces a new approach called Class Exclusion and Reassembling, which outperforms traditional band arithmetic approaches in terms of classification accuracy. The study was conducted in Nanded district and Parbhani district, India, with the goal of improving the accuracy of classification for all classes. Traditional band arithmetic approaches often improve the classification of some classes, but they can reduce the accuracy of other classes and the overall classification accuracy remains insufficient. In the proposed method, classes are classified one by one using band arithmetic approaches. After all classes are classified, the classified pixels are reassembled to obtain the complete classified image. The proposed method was tested on two sites: one with training and testing data, and another with only testing data. The results were compared with the composite image of all 13 bands using the random forest classification tool. The proposed method achieved 100% accuracy for Site 1, which was an improvement from the previous accuracy of 86%, and 95.5% accuracy for Site 2, an improvement from 89.5%. Overall, the Class Exclusion and Reassembling approach is more effective than traditional band arithmetic approaches for classification accuracy.
Approximation of the integral of modified first direct method of pursuit for differential inclusions
Authors: Iskanadjiev Ikromjon , Eliboev Nurali 
Published: April 2023

Abstract
We study a controlled system ż ϵ -F(t, v), where F is a continuous multivalued mapping. Approximate properties of the integral of the third method of pursuit are studied. New simplified formulas for the integral of this method are proposed and new approximate schemes that approximate the integral of this method with a given accuracy are constructed.
Interaction between FokI polymorphism and vitamin D deficiency in the symptoms of mental disorders in adults: COVID-Inconfidentes, a population-based study in Brazil
Authors: Sabião Thaís da Silva , Júnior Luiz Antônio Alves de Menezes , Batista Aline Priscila , de Moura Samara Silva , Meireles Adriana Lúcia , de Menezes Mariana Carvalho , Machado-Coelho George Luiz Lins , Carraro Júlia Cristina Cardoso 
Published: April 2023

Abstract

Purpose Mental disorders are intricate and multifaceted, encompassing social, economic, environmental, and biological factors. This study conducted in Brazil aimed to investigate whether the VDR gene polymorphism Fok I (rs2228570) interferes with the association between vitamin D deficiency and symptoms of anxiety and depression in adults.Methods This is a population-based cross-sectional study with stratified and cluster sampling, evaluating anxiety symptoms (AS) and depression symptoms (DS) in 1637 adults (50.9% women, mean age of 42.9 years) using Generalized Anxiety Disorder-7 and the Patient Health Questionnaire-9, respectively. Vitamin D levels were measured using electrochemiluminescence considered deficient when < 20 ng/mL in a healthy population or < 30 ng/mL for groups at risk. Genotyping was done using Taqman probes by real-time PCR.Results The prevalence of AS, DS and vitamin D deficiency were 23.5%, 15.8% and 30.9%, respectively. Genotypic frequency of the FokI was 9.9% AA, 44.7% AG, and 45.4% GG. No direct association was observed between vitamin D deficiency and AS and DS. However, an interaction analysis revealed a synergism between vitamin D deficiency and the FokI for DS, but not SA. Individuals with vitamin deficiency and one or two copies of the altered allele of the FokI exhibited a higher prevalence of DS than individuals homozygous for the wild-type allele and vitamin D sufficiency (AG: PR = 2.84, CI 95%: 1.04; 7.76; GG: PR = 4.37, CI 95%: 1.62; 11.83).Conclusion Our data suggest that an interaction between vitamin D deficiency and FokI polymorphism may interfere in the prevalence of DS.
A novel-tuned Custom ensemble machine learning model to predict abutment scour depth in clear water conditions
Authors: Kumar Lalit , Afzal Mohammad Saud , Ghosh Somshubhra 
Published: April 2023

Abstract
Most bridge failures occur due to the development of scour holes around the abutment and pier. Therefore, accurate prediction of abutment scour depth is critical for designing and maintaining bridges to ensure their safety and longevity. Traditional methods for predicting abutment scour depth, such as empirical formulas and physical models, have accuracy, applicability, and cost limitations. Machine learning (ML), on the other hand, has the potential to overcome these limitations by leveraging large amounts of data and identifying complex patterns and relationships that are difficult to detect using traditional methods. ML models can be trained on various data sources, including field measurements, laboratory experiments, and numerical simulations, to predict abutment scour depth accurately. Therefore, the present study aims to develop a novel-tuned Custom ensemble ML model for predicting abutment scour depth in clear-water conditions. The proposed Custom ensemble model outperforms the ML models used to predict non-dimensional scour depth at abutments with an accuracy of 95.93%.
Prediction of biochemical oxygen demand with genetic algorithm-based support vector regression
Authors: Liu Yan Zheng , Chen Zhiyuan 
Published: April 2023

Abstract
Five-day biochemical oxygen demand (BOD5) is a vital wastewater contamination strength indicator. The process of measuring BOD5 is to measure the mass of molecular oxygen consumed in 1 L of water at 20 °C over a 5-day incubation period. It is a time-consuming process and often too late for water management agencies to make a timely reaction if the result of measurement shows a water body is seriously polluted. Biosensors can simplify the process of BOD5 measurement; however, the measurement results often deviate significantly from the measured BOD5 values. The main aim of this research is to identify a machine learning model, which could predict BOD5 value from historical data and make it easier to detect water pollution in advance and timely adopt treatment measures. Three machine learning techniques, linear regression, support vector regression (SVR) and multi-layer perceptron (MLP) and two optimization processes have been studied in this research. Four main steps, preprocessing (one-time only), model training, model evaluation (testing) and analysis have been implemented in the experiments. With three feature selection strategies, the results of the experiment showed that SVR with genetic algorithm (GA) optimizer achieved the best performance with R2 of 0.694 and the lowest MAE of 0.109.
PERCEPCIONES DE LICENCIADOS EN ENFERMERÍA SOBRE REGULACIÓN DEL EJERCICIO DE SU PROFESIÓN Y AUTONOMÍA PROFESIONAL.
Authors: Ferreira Augusto , Ferraro Sergio , Herrera Melián Andrea 
Published: April 2023

Este trabajo de investigación aborda la interacción de la autonomía en el trabajo de los Licenciados en Enfermería y el marco legal actual. El Objetivo es conocer la percepción de un grupo de profesionales enfermeros con experiencia laboralen el segundo nivel de atención. Es un estudio cualitativo a nivel descriptivo. Lossujetos de estudio fueron 11 profesionales enfermeros del segundo nivel de atención de instituciones prestadoras de salud, los que se escogieron en función de los años de ejercicio y el nivel de atención donde se desempeñaron. Las preguntas orientadoras fueron las siguientes: ¿Tiene conocimiento si en la legislación existente hay una ley que regule su desempeño como profesional? ¿Qué importancia le da? Referente a la gestión del cuidado de los pacientes: ¿En qué aspectos usted se considera un profesional independiente? ¿A lo largo de estos años usted colmó sus expectativas? ¿Siente que pudo aplicar su formación académica en la práctica? Resultados y análisis: A partir de las entrevistas se construyeron 5 categorías: Relevancia-Trascendencia, Factores determinantes, Independencia, Satisfacción, Relación formación – ejercicio. El análisis de cada una de estas permite establecer puntos de partida para plantear trabajos posteriores, como la importancia de la existencia de un marco regulatorio, elementos que condicionan la autonomía profesional de los licenciados, percepciónde independencia y de satisfacción laboral, importancia de la relación existente entre la formación y el ejercicio profesional.
Sintomas de ansiedade e depressão em pacientes com doenças respiratórias internados em um hospital público
Authors: Pereira Joice Quelle da Silva , Sestelo Maristela Rodrigues , Lima Carlos Tadeu da Silva 
Published: April 2023

Doenças respiratórias representam uma das principais causas de morbidade e mortalidade a nível global. O acometimento patológico das vias aéreas aumenta os riscos de transtornos psiquiátricos, devido às inúmeras admissões hospitalares e à dependência de cuidados médicos e pessoais. O presente artigo pretendeu identificar a prevalência de sintomas de ansiedade e depressão em pacientes com doenças respiratórias em um hospital público de Salvador (BA), assim como avaliar os fatores possivelmente associados à sintomatologia ansiosa e depressiva nesses pacientes. Para isso, realizou-se estudo observacional, descritivo e de corte transversal, que ocorreu no Hospital Especializado Octávio Mangabeira (HEOM). Foi utilizada uma amostra de conveniência de 140 pacientes assistidos no período de outubro de 2018 a janeiro de 2019. Os participantes responderam aos seguintes instrumentos: questionário clínico, demográfico e socioeconômico; Escala Hospitalar de Ansiedade e Depressão (HADS); e o Teste de Dependência à Nicotina de Fagerstrom (FTND). Para a análise de dados, optou-se pelo Teste Exato de Fisher, concluindo-se que a prevalência de prováveis sintomas ansiosos e depressivos foi de 35,7% e 31,4% respectivamente. As variáveis significativas (p < 0,05) encontradas no estudo foram: sexo, estado civil, renda familiar e asma. Os achados desta pesquisa apontam para a importância de se avaliar a presença dos sintomas de ansiedade e depressão para melhorar o prognóstico e a qualidade de vida dos pacientes, além da adesão ao tratamento da patologia respiratória.
POD1 Stent Removal after PCNL
Authors: Mershon J. Patrick , Goodstein Taylor , Khuhro Aliza , Charleton Mary , Ndumele Amara , Posid Tasha , Arnold Chase , Kleinguetl Colin , Knudsen Bodo , Sourial Michael 
Published: April 2023

Introduction: Percutaneous nephrolithotomy (PCNL) is the gold standard for treating large or complex renal stones. Renal drainage after the procedure is most commonly via nephrostomy tube or indwelling ureteral stent, but the optimal duration of ureteral stents after PCNL is unknown. This study describes the post-operative events occurring with early stent removal on postoperative day one (POD1) in patients undergoing uncomplicated PCNL. Methods: We identified 336 patients from a single institution that underwent PCNL between 1/1/2020 and 6/1/2021. Of these, 106 patients with uncomplicated procedures that met inclusion criteria for early stent removal on POD1 were included. In addition, a retrospective chart review was performed to collect demographic information, operative data, and to identify adverse outcomes including additional procedures, patient telephone calls for symptoms, complications and emergency department (ED) visits. Results: Mean (SD) patient age was 54 (15.1) years and 56% of patients were morbidly obese (Body Mass Index [BMI] > 30). Overall post-operative complication rate was low (18.8%) and limited primarily to Clavien I/II complications with only two Clavien III (1.9%) complications. Telephone calls or electronic messages were received from 37.7% of patients, with 16% requiring a visit to the ED or clinic. The most common reason for an ED visit was flank pain (11.1%). Conclusions: Early stent removal on POD1 may lead to pain-related telephone calls but appears to be a generally safe and effective management option in carefully selected patients undergoing uncomplicated PCNL.
Pelatihan Kader Dalam Peningkatan Cakupan ASI Eksklusif Melalui Kelompok Pendukung ASI di Wilayah Puskesmas Pacarkeling Kecamatan Tambaksari Kota Surabaya
Authors: Rijanto  , Astuti Setiyani  , Sukesi  , Ervi Husni  , Queen Khoirun Nisa’ Mairo  , Purwanti  , Dina Isfentiani  , Tatarini Ika Pipitcahyani  , Sherly Jeniawaty  
Published: April 2023

Keberhasilan pemberian ASI eksklusif membutuhkan keterlibatan banyak orang terutama para kader. Tujuan kegiatan pengabdian kepada masyarakat ini adalah meningkatkan cakupan ASI Eksklusif. Mitra dalam kegiatan ini yaitu Kelompok Pendukung ASI di Puskesmas Pacarkeling, Kecamatan Tambaksari, Kota Surabaya. Hasil Pretest dan posttest untuk mengukur tingkat pengetahuan kader sebelum dan sesudah pelatihan menunjukkan peningkatan pengetahuan sebesar 71,44%. Ini berarti bahwa semua kader memiliki pengetahuan yang baik tentang materi khusus menyusui setelah mengikuti pelatihan. Nilai rata-rata eksekutif untuk sikap pemberian ASI eksklusif adalah 40% yang menunjukkan bahwa kader memiliki sikap yang baik terhadap dukungan pemberian ASI Eksklusif. Skor rata-rata 100% untuk teknik menyusui menunjukkan hampir semua pelaksanaan memiliki keterampilan yang baik sebagai KP-ASI. Kegiatan yang bertujuan untuk mengoptimalkan peran kader dalam peningkatan cakupan ASI Eksklusif sudah terlaksana dengan baik. Setelah dilakukan pelatihan terjadi peningkatan pengetahuan kader tentang ASI ekslusif dan sikap kader yang mendukung ASI ekslusif meningkat serta meningkatnya keterampilan kader dalam melakukan teknik menyusui yang benar.
Pointing of the Hexagonal Pixel Shape Telescope without NSB Using Star Reconstruction in the Cherenkov photodetection Plane
Authors: Njoh Ekoume Theodore , Azeufack Tonfack Ulrich Gael , Ekobo Brice , Heller Matthieu , Montaruli Teressa 
Published: April 2023

In this article, we investigate, without the presence of Night Sky Background(NSB), the best pointing method which is independent of any deformation of the structure or mechanical effects. The method is direct and on real time, we will used the presence of stars in the photodetection plane during observation, to reconstruct the direction of the telescope. We will first present the method used to reconstruct the pointing direction in real time and then evaluate the impact of the different systematics on the pointing accuracy.
Factores asociados a mortalidad intrahospitalaria en falla cardiaca aguda
Authors: López-Morales Lina Estefany , Rada-Rada Mariana , Conta-López John Alexander , Suarez-Casas Juliana Marcela , Vargas-Rodríguez Ledmar Jovanny 
Published: April 2023

Introducción: La falla cardiaca es una enfermedad de alta prevalencia mundial y de gran interés para la salud pública. En Colombia constituye una de las principales causas de mortalidad de origen cardiovascular, por lo cual, es importante determinar los factores de riesgo asociados a la mortalidad intrahospitalaria en estos pacientes.

Materiales y métodos: Estudio de cohorte retrospectiva que incluyó a 260 pacientes con diagnóstico de Falla Cardiaca Aguda atendidos en el Hospital Universitario San Rafael de Tunja entre enero del 2019 hasta enero del 2022. Sé realizó un análisis univariado y bivariado calculando HR y el valor p respectivo, con lo cual se construyó un modelo de regresión de Cox para determinar los factores asociados a mortalidad intrahospitalaria, y como desenlaces secundarios se determinó la incidencia de mortalidad intrahospitalaria a 10 días, el reingreso y el tiempo de estancia hospitalaria.

Resultados: La incidencia de mortalidad intrahospitalaria a los 10 días fue del 10%, el reingreso hospitalario se presentó en el 21,2% de los pacientes, la media de estancia hospitalaria fue de 9,31 días, los factores de riesgo para mortalidad intrahospitalaria estadísticamente significativos fueron la clasificación clínica de Stevenson C o L [HR 3,2 IC 1,12;9,39 p = 0,03] y la clase funcional del paciente a su ingreso NYHA III o IV [HR 2,76 1,02;7,53 p=0,04].

Conclusiones: La clasificación clínica de Stevenson C o L y la clase funcional según NYHA III o IV demostraron ser factores de riesgo independientes de mortalidad intrahospitalaria, se sugiere identificar tempranamente a estos pacientes ya que podría asegurar una mayor supervivencia.
El inconsciente colectivo de la memoria histórica en Colombia
Authors: García Niño Yarani Danissa 
Published: April 2023

Hablar de paz en estos tiempos se ha convertido en un desafío racional y en una paradoja del deber ser en comunidad, debido a que la necesidad de vivir en paz es desdibujada por un vacío social que ha dejado el conflicto armado interno en Colombia. Por esto el reconocimiento de la verdad inherente de la sociedad se enmarca en la razón misma del tejido social creado a partir de la memoria histórica que pretende a su vez no olvidar, reparar a las víctimas, blindar las acciones con el respaldo judicial, y así contribuir a la transformación estable.
Es entonces que este artículo propone una reflexión socio-moral para erradicar todo mal uso de los procesos de interpretación de la reparación colectiva y la construcción de paz, eliminando consigo la revictimización y cualquier violación de derechos humanos, además de fortalecer los colectivos, promover los liderazgos culturales, recuperar la credibilidad institucional e identificar las oportunidades de cambio para las garantías de tener una vida digna.
Recuerdo colectivo de nuestra historia
Authors: Landázuri Angulo Sander H. 
Published: April 2023

La comunidad académica mundial y en especial sus nuevas generaciones, deben conocer cómo las Fuerzas Militares colombianas, llegaron a la construcción y ejecución de una disciplina social como es la Memoria Histórica, logrando de esta manera posicionar la dignificación de las voces de las víctimas militares y policiales valorándolas y tratándolas con especial respeto.
Este documento muestra esa labor, partiendo desde la definición misma en el ámbito de las ciencias sociales, pasando por la apropiación de ese concepto por el poder legislativo nacional, hasta llegar a la interiorización e institucionalización del concepto social y de su ejecución en el sector Defensa.
Profil Bakteri Patogen dan Kepekaannya pada Pasien Ventilator Associated Pneumonia dengan Infeksi COVID- 19 di Rumah Sakit UKRIDA¬
Authors: Christopher Jeremy , Dharmawan Ade , Pasaribu Donna Mesina , Layanto Nicolas 
Published: April 2023

The use of ventilators during the COVID-19 pandemic has increased the incidence of Ventilator-Associated Pneumonia (VAP). This is accompanied by a trend of antibiotic resistance resulting from irrational use. The emergence of multi-drug resistant (MDR) bacteria during the pandemic presents a challenge due to limited antibiotic options. Objective: To determined the pathogenic bacterial profile and antibiotic susceptibility in Ventilator Associated Pneumonia (VAP) patients with COVID-19 infection. Methods: This is a descriptive cross-sectional study with a retrospective approach using secondary data from the medical records of UKRIDA Hospital patients from January 2021 to August 2021. Results: Most of the study sample had characteristics of being male (71.9%), aged 25-64 years (78.1%), overweight (40.6%), and hypertension (40.6%) as the comorbid. Gram-negative bacteria is the pre-dominated bacteria in this study, with Acinetobacter baumannii, Klebsiella pneumoniae, and Stenotrophomonas maltophilia being the most isolated bacteria. Antibiotics such as colistin still showed good susceptibility to Acinetobacter baumannii and Klebsiella pneumoniae, with 75% and 90% sensitivities, respectively. Antibiotics such as linezolid, tigecycline, and gentamicin-synergy still showed (100%) sensitivity to all Gram-positive bacteria. Conclusion: The discovery of MDR bacteria in patients with VAP and the limited availability of susceptible antibiotics highlights the importance of conducting antibiotic resistance surveillance and infection control, especially in the era of COVID-19.Keywords: antibiotic susceptibility, bacteria profile, COVID-19, VAP