bluuebunny/crossref_metadata_2025 huggingface dataset:
Forecasting Indonesian Oil, Non-Oil and Gas Import Export with Fuzzy Time Series
Authors: Dinata Syalam Ali Wira , Purbosari Ayuning Arum , Hasanah Primadina
Published: April 2023

Indonesia is active in export and import activities. Some of the commodities traded are oil and gas, as well as food and other industrial materials. Export and import activities play a role in determining the stability of the country's economy seen from its trade balance. According to the Central Statistics Agency, Indonesia experienced a deficit of USD 864 million due to a decline in exports at the beginning of 2020. Based on the state of the trade balance, the government needs to make policies in order to maintain the stability of the Indonesian economy. The right decision-making must be supported by accurate information, therefore, through this research, the value of Indonesia's exports and imports will be forecasted in the oil and gas and non-oil and gas sectors for the next period using the Fuzzy Time Series (FTS). FTS was chosen as the forecasting method because it is able to predict free real time data with arbitrary patterns. The data used is data on the value of exports and imports of oil and gas and non-oil and gas sectors for 2011-2020. To overcome the problem of stationary data variance and reduce the error value, a Box Cox transformation will be applied. The research stages include data transformation with Box Cox, forming universe and linguistic sets, determining interval length, fuzzification, forming FLR and FLR, defuzzification and forecasting. The final forecast results estimate that exports and imports in the oil and gas sector in 2021 will decline, while for the non-oil and gas sector will fluctuate and increase from the previous year. Forecasting with Box Cox transform data is more accurate with MAPE 19.56% and RMSE 121.52 compared to forecasting with original data with MAPE 74.89% and RMSE 132.09.
Information Retrieval for Early Detection of Disease Using Semantic Similarity
Authors: Aszani Aszani , Wicaksono Hayyu Ilham , Nadzima Uffi , Heryawan Lukman
Published: April 2023

The growth of medical records continues to increase and needs to be used to improve doctors' performance in diagnosing a disease. A retrieval method returns proposed information to provide diagnostic recommendations based on symptoms from medical record datasets by applying the TF-IDF and cosine similarity methods. The challenge in this study was that the symptoms in the medical record dataset were dirty data obtained from patients who were not familiar with biological terms. Therefore, the symptoms were matched in the medical record data with the symptom terms used in the system and from the results, data augmentation was carried out to increase the amount of data up to about 3 times more. In the TF-IDF the highest accuracy with  is only , while after augmentation of the test data, the accuracy becomes . The highest accuracy results with the same  value using the cosine similarity method is  and with the augmented test data accuracy increasing to . From this study it was concluded that a system with sufficient and relevant input of symptoms would provide a more accurate disease prediction. Prediction results using the TF-IDF method with  are more accurate than predictions using the cosine similarity method.
Pemodelan Harmonik untuk Pelafalan Makhraj Huruf Hijaiah
Authors: Fadhlullah Muhammad , Atmaji Catur
Published: April 2023

Learning to pronounce hijaiah letters needs to be assessed objectively, so it is necessary to form digital audio resulting from the synthesis of Harmonic Plus Residual (HPR) modeling, which conducted with two pronunciation methods, taskin and tasydid. The experiment consists data acquisition, signal cutting, framing and windowing, detection of fundamental and harmonic frequencies, synthesis of HPR, to produce synthetic signals. The results of the synthetic signals then analyzed qualitatively by signal spectrogram analysis and scoring.From the experimental results, it can be concluded that this study was ultimately unable to determine the best HPR parameters, but concluded that the tasydid method was the best method for learning pronunciation and for the HPR model synthesis. This is because the tasydid method with different parameters but all of them can produce good synthetic signal, both in terms of comparative analysis of similar signal spectrograms and from the results of scoring with an average value of 10. On the other hand, the taskin method harf shows unsatisfactory results, where the synthetic sound is mostly just noise, so the scoring results is under 9, and is reinforced by the results of the spectrogram comparison between the original and synthetic signals which visually different.
Vehicle Detection System Using Ultrasonic And Magnetic Fields Sensors Based On LoRa Communication
Authors: Afrizal Fakhri , Prastowo Bambang Nurcahyo
Published: April 2023

Nowadays, privately owned vehicles still holds the position as the staple of transportation used by the majority of people, especially in Indonesia. Along with the increasing number of vehicles, its necessary to develop infrastructure that can support its usage. One of them is the development of a parking management system. The current conventional parking system in Indonesia requires users to surround the parking area to find an empty parking space. These activity takes time for the user so it is inefficient. To resolve that problem, it needs a smart parking system that can provide information about empty parking space location directly to the users.This study discusses the design of a vehicle detection system in the implementation of outdoor smart parking. The device that used in this research is the ultrasonic sensor HC-SR04 and the HMC5883L magnetic field sensor for the detection process and uses LoRa RFM95W to communicate with the gateway device. The smart parking system designed is able to detect the presence of car in the parking area and differentiate the car from other objects with a 100% success rate percentage.
Kendali Stabilisasi Pesawat Tanpa Awak Sayap Tetap untuk Pendaratan Otomatis Menggunakan Fuzzy
Authors: Savero Muhammad Alfachrozi , Dharmawan Andi
Published: April 2023

Pesawat tanpa awak sayap tetap atau fixed wing memiliki 3 fase terbang, yaitu lepas landas, terbang jelajah, dan pendaratan. Dalam fase pendaratan dibagi menjadi 2 tahapan yaitu glideslope dan flare. Selama fase pendaratan, kestabilan wahana merupakan hal yang krusial untuk dapat melakukan pendaratan dengan selamat. Sehingga kendali yang digunakan harus mampu menstabilkan pesawat saat melakukan pendaratan.Kendali penstabil pendaratan otomatis yang digunakan pada penelitian ini adalah full-state feedback gain K yang nilainya diperoleh menggunakan metode Linear Quadratic Regulator (LQR) dan logika fuzzy. Nilai gain K yang didapat akan dikonversikan terlebih dahulu menjadi Pulse Width Modulation (PWM) dan akan digunakan sebagai nilai masukkan pada sistem. Sinyal PWM tersebut akan mengendalikan kecepatan putar brushless motor dan sudut defleksi Servo. Ketika memasuki mode auto, wahana akan menjaga kestabilan pada sudut roll dan sudut serang wahana selama memasuki pendaratan otomatis. Nilai sudut acuan roll merupakan 0˚ agar wahana tetap stabil. Berdasarkan penelitian ini, wahana mampu mempertahankan kestabilan pada sumbu roll selama melakukan pendaratan otomatis. Selain itu didapatkan nilai risetime sebesar 0,3 detik serta steady state error sebesar 2,71 derajat dan tidak ditemukannya overshoot
Analisis Photoplethysmography Jarak Jauh dalam berbagai Kondisi Pencahayaan
Authors: Babgei Atar Fuady , Sasongko Muhammad Wikan , Sardjono Tri Arief
Published: April 2023

One of the limitations of photoplethysmography (PPG) using a contact sensor to estimate the heart rate is that the sensor must be attached directly to the patient's body. rPPG (remote-Photoplethysmography) can remotely monitor a patient's heart ratebased on an image. However, rPPG  has  limitations  in  instances  where  this  technology  is  directly  affected  by  the  lighting conditions  and  direction  of  the  observed  subject. This  study  used  rPPG  based  on  the  Green Channel and HSV (Hue, Saturation, and Value) color model to estimate heart rate under different lighting  conditions. Analysis,  computational  methods,and  image  transformation  functions  are used for data selection, denoising, colormodel conversion, spectral analysis, and visualization to  extract  biomedical  signals from  inputs. The  estimatedheart  rate was then derivedusing spectral  analysis  on videostaken  from  an  area  of  interest  on  the  forehead. Compared  to  the ground truth, theaverage percentage error from the facial lighting tests conducted at 260 lux, 19 lux, and 11 lux for the Green Channel color modelis 0.038, 0.118, and 0.229, which is less than the HSV's error of 0.095, 0.212, and 0.247.
Determination of Groundwater Flow Pattern in the basement complex terrain of Ado-Ekiti, Southwestern Nigeria
Authors: Oyedele A. Akinola , Olayanju Gbenga , Oyedele Taiwo , Oyedele Kehinde , Ewumi Taofeek , Ogunlana Funmi
Published: April 2023

Hydrostatic level sampling, geo-referencing and Geographic Information System were employed to delineate the major groundwater recharge / discharge zones, the groundwater flow direction and the groundwater divides in Ado-Ekiti metropolis with the objective of groundwater resource protection.  Static water level measurements were made from 108 hand – dug wells evenly distributed on a regional basis. The latitudes, longitudes and elevations above mean sea level of the well points were measured using the Global Positioning System. A mean value of 5.84 ± 2.35 m above mean sea level was observed for the depths to the static water level with a mean value of 408.27 ± 46.06 m above mean sea level for the groundwater head. The contour maps obtained enabled the delineation of the major groundwater recharge / discharge zones, the groundwater flow direction and the groundwater divides with the regional tendency of the underground flow approximately lying along the Northwest – Southeast direction and groundwater divides along the South – Eastern/ South – Western axes of the Central portion. Strict environmental ethics must be enforced around the groundwater recharge / discharge zones and flow directions in order to avoid groundwater contamination.
Effect of Transportation Infrastructure on Built-up Area Using Prediction of Land Use/Cover Change: Case Study of Yogyakarta International Airport, Indonesia
Authors: Sukri Irwansyah , Harini Rika , Sudrajat Sudrajat
Published: April 2023

The development of transportation infrastructure increases the pressure on natural resources, one of which is the increase in the built-up area. The changes do not only happen during the construction of transportation infrastructure but also after its completion. Therefore, this study aims to identify and simulate land use/cover changes in Kulon Progo Regency, Indonesia, to predict the effect of the construction of Yogyakarta International Airport (YIA). A quantitative descriptive method was used with the main data of multitemporal Landsat remote sensing images. Furthermore, the integration of Cellular Automata and Artificial Neural Networks (CA-ANN) was applied to simulate land use/cover change predictions (2035). The results of image classification using the supervised maximum likelihood classification showed an overall accuracy of 85.33% and 86.67% for 2011, and 2015 with 2019 using Landsat 7 and 8 images, respectively. Meanwhile, there was an increase in paddy fields of 1,210.1 ha (2.11%) and built-up area by 2,708.6 ha (4.72%) during 2011 – 2019. Conversely, shrubs and dryland agriculture decreased by 1,594.1 ha (2.78%) and 2,174.1 ha (3.79%). The simulation results indicate that the development of transportation infrastructure further triggers the increase in built-up area, especially around the YIA. Therefore, policymakers and development implementers should adopt and implement appropriate and effective planning for sustainable land use.
The Impact of Urban Sprawl on the Socioeconomic Conditions of the Population in Tamanan Village, Indonesia
Authors: Giyarsih Sri Rum
Published: April 2023

This study aimed to analyse the impact of urban sprawl on the (1) social, (2) economic, and (3) technological conditions of the population in Tamanan Village, on the outskirts of Yogyakarta City. For data collection, this survey research employed structured interviews with 40 respondents selected through multistage random sampling. It also used complementary in-depth interviews with seven (7) purposively sampled key informants to deepen the analysis. The answers from the structured interviews were analysed with descriptive statistics in the form of single-frequency tables, while the data derived from the in-depth interviews were processed using a qualitative descriptive approach. The results show that the impact of urban sprawl on the social (37.5%) and economic conditions (40%) was mostly high, while the effect on the technological conditions of the population in the study area fell mainly under the medium category (47.5%). In conclusion, the phenomenon of urban sprawl in the study area has affected the social, economic, and technological conditions of the population.
Pemetaan kondisi hutan mangrove di kawasan pesisir Selat Madura dengan pendekatan Mangrove Health Index memanfaatkan citra satelit Sentinel-2
Authors: Hidayah Zainul , Rachman Herlambang Aulia , As-Syakur Abd Rahman
Published: April 2023

Abstrak. Pemetaan dan pemantauan kondisi hutan mangrove diperlukan untuk rehabilitasi dan konservasi lingkungan. Mangrove Health Index (MHI) menggunakan analisis citra satelit merupakan pendekatan baru yang bisa digunakan untuk mengetahui kualitas lingkungan ekosistem hutan mangrove. Penelitian ini bertujuan untuk untuk mengetahui struktur komunitas hutan mangrove dan melakukan analisis spasial-temporal MHI di kawasan pesisir Surabaya dan Sidoarjo menggunakan citra satelit. Data yang digunakan untuk analisis struktur komunitas mangrove pada penelitian ini adalah hasil pengamatan lapang di 10 transek. Untuk analisis MHI menggunakan citra Sentinel 2 perekaman tahun 2015, 2018, 2021. Hasil analisis menunjukkan bahwa spesies mangrove yang paling dominan di lokasi penelitian adalah Avicennia marina. Analisis citra satelit mendeteksi pertambahan luas mangrove yang signifikan dari tahun 2015 hingga 2021 yaitu lebih dari 500 Ha. Berdasarkan analisis MHI, terjadi perubahan positif dari kondisi hutan mangrove dominansi buruk (MHI<33%) pada tahun 2015 menjadi sedang (33,4%<MHI< 66,67%) hingga baik (MHI > 66,68%). Pertambahan luas hutan mangrove diiringi dengan perbaikan kondisi ekosistem dengan indikator meningkatnya MHI.Abstract. Mapping and monitoring the condition of mangrove forests is needed for environmental rehabilitation and conservation. Mangrove Health Index (MHI) using satellite image analysis is a new approach that can be used to determine the environmental quality of mangrove forest ecosystems. This study aims to determine the structure of the mangrove forest community and conduct a spatial and temporal MHI analysis in the coastal areas of Surabaya and Sidoarjo. The data used in this study were the results of field observations on 10 transects. MHI analysis using Sentinel 2 imagery recorded in 2015, 2018, 2021. The results of the analysis show that the most dominant mangrove species in the research location is Avicennia marina. Analysis of satellite imagery detects a significant increase in mangrove area from 2015 to 2021, which is more than 500 Ha. Based on the MHI analysis, there was a positive change from poor dominant mangrove forest conditions (MHI <33%) in 2015 to moderate (33.4% < MHI < 66.67%) to good (MHI > 66.68%). The increase in the area of mangrove forests is accompanied by improvements in ecosystem conditions with indicators of increasing MHI.
The Shortcomings and Improvement Strategies of Public Physical Education Courses in Chinese Universities
Authors: YAO TANG , YANG CHENG , HONGJing ZHU
Published: April 2023

With the development of China’s higher education, China’s university education has developed rapidly and the number of students enrolled has been increasing. At present, the number of college students in China has exceeded 24 million, showing a prosperous scene. However, with the rapid development of college education, the participation rate of college students in sports is generally low, and the college physical education courses set up to promote college students’ sports have not played their due role. This study analyzes the shortcomings of current college physical education and proposes that college physical education in China should change the current situation of outdated teaching concepts, unreasonable teaching evaluation system, insufficient teaching content, and cultivate college students’ interest in sports and lifelong sports.
Non-performing Loans and Deposit Money Banks’ Financial Performance: Empirical Evidence from Nigeria
Authors: Ughulu Stephen Ebhodaghe , Inobemhe Aliyu Mohammed , Ughulu David Esezobor
Published: April 2023

Nigeria’s deposit money banks (DMBs) are financial institutions licensed by the Central Bank of Nigeria to mobilize demand and saving deposits from the surplus economic units for on-lending to the deficit economic units for investment and consumption   purposes. In carrying out this intermediation function, DMBs are exposed to several risks including credit risk, market risk, interest rate risk, exchange rate risk, and others. Of these risks, the credit risk seems the most harmful to DMBs’ financial performance as its occurrence can easily and quickly send a bank into distress or outright liquidation. For over a decade now, DMBs in the country have been experiencing continuously increasing nonperforming loans portfolios. This type of scenario had led to poor financial performance among the Banks. It is for this reason that the present study seeks to verify empirically the impact of certain financial and macroeconomic variables on DMBs’ financial performance for the period 2001 to 2021, that is, 21 years. In doing this, we dissected financial performance into return on assets and return on equity. Hence, two separate models were specified in the study with return on asset and   return on equity serving as the dependent variables in each of the models, while non-performing loans, loan-loss provisions, lending rate, bank size, monetary policy rate and inflation rate represented the independent variables. The longitudinal research design was adopted since   the study’s data covered a specific timeframe. The fully modified ordinary least squares and the panel data regression techniques were used to analyze the data. The findings of the study revealed, among others, that non-performing loans exerted a negative impact on the financial performance of the DMBs in terms of return on assets and return on equity. It was, therefore, recommended that provisions for loan losses, even though appeared with positive impact on return assets and return on equity, should to be scaled up as the variable is frequently used as a strategic and effective means for mitigating loans losses and, invariably, the financial performance of the DMBs.
Precisiones y aclaraciones sobre el empleo de técnicas cognitivo-conductuales y el análisis contingencial.
Authors: Patrón Espinosa Felipe de Jesús , González Mauricio Ortega
Published: April 2023

En este trabajo se presenta un análisis crítico a la propuesta de Patrón en relación con la aplicación de técnicas cognitivo-conductuales en el Análisis contingencial. Se realizaron modificaciones y precisiones a las formulaciones en las que se explicaban los efectos de aplicar la reestructuración cognitiva y la atención plena como episodios sustitutivo referenciales. También, se realizaron aclaraciones sobre el eclecticismo y la desprofesionalización al intervenir desde el Análisis contingencial. Como producto de este análisis, se rechazaron las explicaciones desarrolladas por Patrón sobre los efectos de la reestructuración cognitiva y la defusión cognitiva como episodios sustitutivos, exceptuando al aplicar la reestructuración cognitiva para alterar prácticas macrocontingenciales en algunos casos. Se recomienda que los profesionales que intervienen desde el Análisis contingencial no empleen de forma directa técnicas provenientes de corrientes teóricas distintas al interconductismo, en todo caso es necesario modificarlas para emplearlas con propósitos funcionales.
How well do you know your size? Accuracy of self-reported measures vs. BMI & waist to height ratio among Mexican women
Authors: Wrzecionkowska Dagmara , Díaz Loving Rolando , Flores-Cano Olga
Published: April 2023

In Mexico 72.5% of adults are overweight, yet many are unaware of their excessive weight, meaning not taking action to lose weight. We compared BMI-measured (BMIM) with (1) BMI-reported (BMIR) calculated with self-reported weight and height, (2) own figure identified on Figure Rating Scale and (3) perception metric of Weight Status (WS). We also evaluated whether any of three metrics predicted Waist-to-Height-Ratio (WHtR), a better indicator than BMI of cardio-metabolic risks. 280 female students had measures and self-reports taken. Linear regression and ROC curves were calculated. Majority of participants had average BMIM (69%), yet 52% were at cardio-metabolic risk based on WHtR≥0.5. Majority knew well their height and weight (BMIR explained 90% of BMIM variance), yet it did not necessarily mean they knew their Weight Status. When asked about WS 27% indicated a different weight category than one identified based on BMIM. None of three proxy-measures predicted well WHtR, indicating the need for establishing such, and for building awareness of waist circumference. Results suggest that numbers such as own weight and height can be easily retrieved from memory, yet their meaning come from socio-cultural context.
Auto-reporte del estudiantado en criterios de desempeño didáctico en clases de Psicología
Authors: Bazán Ramírez Aldo , Velarde Corrales Nestor Mariano
Published: April 2023

Esta investigación evaluó con auto-reporte de 124 estudiantes mexicanos de psicología, sobre el desempeño del docente y del propio estudiante, en las interacciones didácticas. Un primer objetivo fue obtener validez convergente y divergente de constructos de cinco criterios de desempeño didáctico, tanto para el docente como para el alumno, mediante análisis factorial exploratorio y confirmatorio. Un segundo objetivo fue describir el auto-reporte de los estudiantes en los criterios de desempeño didáctico, según el nivel de estudios y el sexo del alumnado. Se obtuvo validez convergente y divergente de constructos de cinco factores (criterios) de desempeño didáctico. Para el desempeño del docente: 1. Exploración de competencias, 2. Explicitación de criterios, 3. Ilustración, 4. Retroalimentación y 6. Evaluación. Para el desempeño del alumno: 1. Precurrentes para el aprendizaje, 2. Identificación de criterios, 3. Ilustración - Participación, 4. Retroalimentación - Mejora y 5. Evaluación - Aplicación. Los resultados fueron discutidos en función de la estructura teórica de las categorías e indicadores confirmados, y en función a las diferencias encontradas en la valoración de los criterios de desempeño del docente y del estudiante, dependiendo del sexo de estudiantado y del nivel de estudios
Eventos de vida estresantes en adolescentes con riesgo suicida.
Authors: Vázquez García Alejandro
Published: April 2023

El objetivo del trabajo fue evaluar la asociación de eventos de vida estresantes en adolescentes con y sin riesgo suicida, así como identificar la capacidad predictora de categorías de sucesos vitales sobre el nivel riesgo de suicidio. Participaron 104 adolescentes: 34 con riesgo (33%) y 70 sin riesgo suicida (67%), de 15 a 19 años (media=16.8; D.E.=1.04), 39.4% hombres y 60.6% mujeres. Se emplearon el Cuestionario de Sucesos de Vida y el Inventario de Riesgo Suicida para Adolescentes, en un escenario escolar. Los resultados mostraron diferencias significativas entre los adolescentes con riesgo y sin riesgo suicida en la percepción de los sucesos estresantes de vida. Las áreas Familiar, Salud, Personal y Problemas de Conducta, mostraron medias más elevadas en los adolescentes con riesgo. El área personal explicó el riesgo suicida. Los resultados son congruentes con otros estudios que muestran este tipo de relaciones, además, dichas áreas podrán ser consideradas como centrales al momento de diseñar tratamientos para promover el bienestar emocional de los adolescentes.
Monitoreo de los efectos psicológicos derivados del COVID-19 en una muestra Mexicana de adultos mayores
Authors: Cortes-Alvarez Nadia Yanet , Vuelvas-Olmos Cesar Ruben , Cortes-Alvarez Salma Izamar , Lara-Morales Alfredo , Moreno-Pulido Elvira
Published: April 2023

La pandemia de COVID-19 no solo amenaza la salud física de las personas, sino que también podría afectar la salud mental, especialmente a los adultos mayores. Por lo tanto, este trabajo examinó los niveles de angustia psicológica, ansiedad, depresión y estrés al inicio de la pandemia y tras haber transcurrido seis meses, en una muestra de adultos mayores en México. Se aplicó una encuesta en el domicilio de cada adulto mayor, que recopiló información sobre edad, sexo y estado civil, además se incluyó la escala la escala de impacto de eventos revisada (IES-R) y la escala de depresión, ansiedad y estrés (DASS-21). La recolección de datos se realizó del 30 de marzo al 5 de abril y posteriormente del 30 de agosto al 5 de septiembre. En la primera medición, el 45.70% de los adultos mayores mostraron una angustia psicológica moderada-severa, 53.19% depresión moderada-severa; 64.90% ansiedad moderado-severo y 56.38% mostraron estrés moderado-severo. En la segunda medición el 53.12% mostró una angustia psicológica moderada-severa, 59.58% mostró depresión moderada-severa, 77.66% ansiedad moderada-severa y 67.75% estrés moderado-severo. Se identificó diferencia significativa en todos los parámetros evaluados al comparación la primera evaluación con respecto a la segunda. Por lo tanto, el brote de COVID-19 ha provocado alteraciones psicológicas considerables entre la muestra mexicana de adultos mayores examinada, empeorando tras transcurrir seis meses.
Evaluación del efecto de terapia moral con pacientes psiquiátricos agudos en incidencias y recaídas
Authors: Morales Abaroa María Fernanda , Camacho Gutiérrez Everardo , Martínez Tafoya Daniel
Published: April 2023

El objetivo del estudio fue evaluar la recuperación de pacientes psiquiátricos agudos a partir de días de internamiento, número de incidencias(interacciones violentas), y recaídas, mediante un programa de rehabilitación psicosocial en comparación con tratamiento con medicamentosy confinamiento. La presente investigación-intervención se realizó en un Hospital Psiquiátrico Público. El diseño fue cuasiexperimentalcon dos grupos de 11 participantes hombres asignados al azar a un grupo control y experimental, entre 18-45 años y diagnosticadoscon trastorno psicótico. A partir de la Terapia Moral de Gisbert (2003), se desarrolló un programa de rehabilitación psicosocial. El programaconstó de 60 sesiones, dos sesiones a la semana. Cada sesión duró de 10:00 a 13:00 horas. Se trabajaron sesiones de musicoterapia,arteterapia, deportivas y recreativas con 15 sesiones cada una. Se aplicó la prueba U de Mann Withney no paramétrica para comparar losgrupos. Se encontraron mayores incidencias y reingresos en el grupo control, pero no hubo diferencias significativas. Se analizaron lasincidencias para ambos grupos los días de intervención comparadas con los de no intervención mediante una regresión lineal, encontrandodiferencias significativas. Se discuten las implicaciones de los resultados obtenidos.
tratamiento de Hückel y la topología molecular: el método topológico en química
Authors: Guerrero Tomás , Durand-Niconoff José Sergio , Matus Myrna H. , Júarez-Cerrillo Sergio Francisco
Published: April 2023

La topología es un área de las matemáticas que, en definitiva, no se encuentra explícita en el mapa curricular del químico; no obstante, está implícita en una infinidad de fenómenos de relevancia para las ciencias químicas, desde la estructura de moléculas sencillas, la racionalización de sus propiedades electrónicas mediante la distribución espacial de sus orbitales frontera, la conformación que adoptan las macromoléculas y sus arreglos supramoleculares. En este trabajo se presenta el concepto de espacio topológico como modelo matemático de la estructura de un sistema molecular. Este modelo es una herramienta que sirve como complemento a los métodos mecanocuánticos y proporciona al químico información valiosa sobre la estructura molecular contenida en el patrón de conectividad entre los átomos que forman a la molécula. En esta contribución se describe la construcción del modelo para el caso de conjuntos discretos como antecedente al estudio del espacio topológico para caso continuo.
Propuesta de proyecto transversal e interdisciplinario para educación media superior: “El calentamiento Global”
Authors: Escobedo René , Cordero Cisneros Teresa de Guadalupe
Published: April 2023

Uno de los elementos importantes en los últimos modelos educativos para educación media superior y que se retoma en la reforma que se pretende implementar en 2023 es el diseño de proyectos transversales en los cuales buscan que los aprendizajes claves de las diferentes asignaturas coincidan para resolver una situación o problemática. En este sentido los docentes debemos innovar en el desarrollo de proyectos que permitan al alumno trasladar dichos aprendizajes claves, siendo importante que en este proceso existe un alineamiento real de los aprendizajes esperados a fin de que se pueda lograr la metacognición. El presente trabajo busca presentar una propuesta de proyecto transversal entre las asignaturas de informática, química I y metodología de investigación utilizando como temática la problemática del calentamiento global.
Applications of Fourier series and Fourier Transform in Electrical and Electronics Devices
Authors: Matlam Prof. Jayprakash , Shende Prof. Suniilkumar , Lanjewar Dr. Dipak G.
Published: April 2023

Abstract: Fourier series are of great importance in both theoretical and ap­ plied mathematics. For orthonormal families of complex­valued functions Fourier Series are sums of the φn that can approximate periodic, complex­valued functions with arbitrary precision. This paper will focus on the Fourier Series of the complex exponentials. Of the many possi­ ble methods of estimating complex­valued functions, Fourier series are especially attractive because uniform convergence of the Fourier series (as more terms are added) is guaranteed for continuous, bounded functions. Furthermore, the Fourier coefficients are designed to minimize the square of the error from the actual function. Finally, complex exponentials are relatively simple to deal with and ubiquitous in physical phenomena. This paper first defines generalized Fourier series, with an emphasis on the se­ ries with complex exponentials. Then, important properties of Fourier series are described and proved, and their relevance is explained. A com­plete example is then given, and the paper concludes by briefly mentioning some of the applications of Fourier series and the generalization of Fourier series, Fourier transforms. In the mid­eighteenth century, physical problems such as the conduction pat­ terns of heat and the study of vibrations and oscillations led to the study of Fourier series. Of central interest was the problem of how arbitrary real­valued functions could be represented by sums of simpler functions. As we shall see later, a Fourier series is an infinite sum of trigonometric functions that can be used to model real­valued, periodic functions. We shall begin by giving a brief description of the trigonometric polynomials,and especially of their relation to the complex exponentials. The Fourier series, the founding principle behind the field of Fourier analysis, is an infinite expansion of function in terms sine’s and cosines. Fourier transform provides a continuous complex frequency of a function. It is useful in the study of frequency response of a filter, solution PDE, Discrete Fourier transform and FFT in the signals analysis. The advent of Fourier transformation method has greatly extended our ability to implement Fourier methods on digital multimedia visualization system. It covers the mathematical foundations of Digital signal processing (DSP), classical sound, synthesis algorithms and multi-time frequency domain analysis associated musical sound. In this paper, we are analysis of square wave in terms of Fourier component, may occur in electric circuits designed to handle sharply rising pulses and how to convert analog to digital system by using Fourier transform and its applications in electronics and digital multimedia visualization signal process of communication system.
Agricultural Crop Recommendation Based on Productivity and Season
Authors: Priya M. Likhitha , Pooja Jaswanthi , . Lalitha , Priya Selva
Published: April 2023

Abstract: As a coastal nation, Tamil Nadu is going through agricultural uncertainty, that's lowering its manufacturing. With greaterhumans and area, greater merchandisemight be produced, howeverit cannot be. Inpast a long time, farmers had phrase of mouth, but now they can't be used due to climatic elements. Agricultural statistics and parameters provide insight into agricultural records. The growth of statistics technology brings a few crucial trends in agricultural sciences to help farmers with precise agricultural information. In this strolling state of affairs, information approximately the utility of present day technological strategies inside the subject of agriculture is suited. Machine gaining knowledge of strategies really provide an explanation for the sample with the information and assist us make predictions. Agricultural problems consisting of crop availability, croprotation, water requirements, fertilizer requirements and protection can be addressed. Due to the variousreasons of theclimatic surroundings, it is essential to havean efficient system to facilitate the cultivation of plants and to assist farmers in production and control. This will help future farmers to enhance agriculture. Aadvice device may be furnished to the farmer to assist him get his plants via the mines. To enforce this approach, vegetationare advocated in phrases in their climatic elements and amount. Data analytics pavesthe manner for growing beneficial extracts from agricultural databases. The crop dataset become analyzed and crop pointershave been made based on yield and season
IOS Frameworks: Ticketing system using UI Kit Framework
Authors: Sohail Shaik Mohammad Ather
Published: April 2023

Abstract: The objective of the My reservation course of action is to motorise the current situation to get ready with the help of cutting-edge program programs and computerized gear, satisfying customers' have to be keep their basic information viably accessible for a long period of timeIt is simple to use and understand the required hardware and software. The already said ticketing system system can be used to form 1 private, unfaltering, and expedient acknowledgment plan. It can offer help the client center on other errands rather than record keeping As a result, this would assist organizations in efficiently using their resources. Without entering the same data twice, the company can update its transaction logs. This suggests that one need not let irrelevant information divert their attention when accessing the information.
Weed Detection in Agricultural Fields
Authors: Baravkar Pooja V. , Dangat Ruchira A. , Kengale Suvarna S. , Bhade Nilam V.
Published: April 2023

Abstract: In this world, agriculture is a vital and necessary component of human nutrition. The majority of people in the world work in agriculture. The economy's agricultural sector is important. Also, it is crucial to reduce prices while raising the calibre of agricultural output. Modern agriculture needs to be more productive in order to meet demand and supply in light of the expanding population. When weeds detected in plants are taken into consideration, it is revealed that only a small percentage of weed plants are poisonous. Certain weeds are poisonous, which has a negative impact on livestock and eventually reduces crop output. But how can one assess whether or not a particular agricultural plant is dangerous? This makes weed identification crucial.
Fashion Clothes Generation System using Deep Convolutional GAN
Authors: Deepthi Ms. M. , Meghana V. , Harshini N. , Sahana V. , Tejasri B.
Published: April 2023

Abstract: The fashion industry has evolved into one of the most powerful industries in the world as a result of modernization. Before the middle of the 19th century, almostall types of clothing were made specifically for each person, either at home or on demand from dressmakers or tailors. Technological advancements such as the development ofartificial fibers, and nylon, as well as new dyeing and fabric cuffing processes, have given designers more creative flexibility. Likewise, the fashion industry has emerged various buying options like e- commerce platforms these days rather than the traditional approach. Where, some websites use automatic pattern generation in place of the conventional method (clothing designs). However, these websites are not likely to make high-end apparels accurately, which is why we propose to generate new fashionable clothes and develop a web application that generates high-end fashion apparels based on the training dataset by taking input from the users (the number of images that need to be generated by the model) using GAN technology, and letting the user choose colors for the generated apparels. GAN, short for Generative AdversarialNetworks, is a type of deep learning model that is used for generating synthetic data that is similar to the original data. It is composed of two neural networks - the generator and the discriminator - that are trained simultaneously to create and evaluate the synthetic data.For the purpose of creating high-quality fashion images, we suggest using Deep Convolutional Generative Adversarial Networks (DC-GANs). A deep learning technique called DC- GANs using convolutional layers in an adversarial network to produce images of a particular type. The "color palette" feature is implemented using a basic Image Processing Technique such as object color translation. Once the object is segmented, its color can be modified using various color transformation techniques such as RGB to HSV conversion or color balance adjustment
Review on Smart Thermoware - A Development in Assistive Self-Health Care Manangement
Authors: S Vasundhara. , M Sujithra. , R. G Sneha. , S Gunasri. , Prabha P. Hema
Published: April 2023

Abstract: Numerous applications and uses for thermal flasks are found by millions of people across the world. In this article, the developments of the vacuum flask's design and construction are covered. It now has technology to perform other tasks in addition to serving as a receptacle holding liquids, such as controlling temperature and serving as an alarm system. Consumers now anticipate that their vacuum vessel will preserve the freshness of the stored beverages. The vacuum flask should be able to sustain both hot and cold temperatures so that users can enjoy their beverages wherever they are and whenever they choose. People who have demanding and unpredictable work schedules are increasingly looking for reminders about how much fluid they should be consuming at all times to maintain a balanced diet
Customer Churn Prediction on E-Commerce Using Machine Learning
Authors: Jaiswal Rohit Kumar , Kori Amit , Inkar Rohit , Adari Chetan , Bansode Samiksha
Published: April 2023

Abstract: For E-commerce businesses to produce successful marketing plans and customer retention tactics, client churn vaticination is pivotal. In order to handle the longitudinal timeframes and multiple data variables of B2Ce-commerce consumers' buying habits, the authors of this study present a loss vaticination model that integrates k- means client segmentation with support vector machine (SVM) vaticination. guests are divided into three groups according to the approach, which also defines the main customer groupings. In order to anticipate client development, the study analyses the efficacity of logistic retrogression and SVM vaticination. The findings show that client segmentation greatly increases each indicator’s capability to read values, emphasizing the significance of k- means clustering segmentation. also, it's demonstrated that SVM vaticination is more accurate than logistic retrogression vaticination. The conclusions of this study have important ramifications for client relationship operation.
Bitcoin Price Prediction using Deep Learning
Authors: Hegde Dr. Gayatri
Published: April 2023

Abstract: Bitcoin is a decentralized digital currency. It is a type of cryptocurrency because it uses cryptography to keep it safe. It is gaining popularity among individuals but it is still not common to use this technique because people still invest in traditional techniques like stock market. Additionally, there are various factors that affect the price of bitcoin such as total circulating supply, production costs, bitcoin mining, rules and regulations, and bitcoin sentiment. These factors and their combinations are used to determine which factor has the greatest influence on the price of bitcoin, and then use the studied factors and the history of the price of bitcoin to predict the evolution of bitcoin prices. Another emerging technique in computer science is deep learning, which is used for trend analysis. The models used are RNN, LSTM, and the model that gives the best result is selected for prediction.
Pneumonia Detection Using Deep Learning Methods
Authors: Kumar Poosa Praveen
Published: April 2023

Abstract: A lung infection known as pneumonia develops when the virus spreads to the lungs' air sacs or alveoli. By processing medical images, artificial intelligence and machine learning techniques have been used in the field of medicine to improve the accuracy of disease reporting.. This paper presents a new model for diagnosing pneumonia and primarily focuses on analysing and contrasting the diagnosis of lung illness using various deep learning methods like VGG16, VGG19, RESNET-50 and RESNET-101 . These methods are investigated on x-ray datasets. From the above models the best deep learning model is selected to create an application which determines whether the given x-ray is pneumonia effected or normal. In contrast to other current methods, the experimental study has demonstrated our suggested method's strong performance.
Vision Based Anomalous Human Behaviour Detection Using CNN and Transfer Learning
Authors: Babu Dr. K. Upendra
Published: April 2023

Abstract: With the advent of the Internet of Things (IoT), there have been significant advancements in the area of human activity recognition (HAR) in recent years. HAR is applicable to wider application such as elderly care, anomalous behavior detection and surveillance system. Several machine learningalgorithms have been employed to predict the activities performed by the human in an environment. However, traditional machine learning approaches have been outperformed by feature engineering methods which can select an optimal set of features. Onthe contrary, it is known that deep learning models such as Convolutional Neural Networks (CNN) can extract features and reduce the computational cost automatically. In this paper, we use CNN model to detect human activities from Image Dataset model. Specifically, we employ transfer learning to get deep image features and trained machine learning classifiers. Our experimental results showed the accuracy of 96.95% using VGG16. Our experimental results also confirmed the high performance of VGG-16 as compared to rest of the applied CNN models
social landscape after the pandemic crisis in Southern European societies
Authors: Consoli Teresa , Fernández-Esquinas Manuel , Papadopoulos Apostolos G.
Published: April 2023

The COVID-19 pandemic has become one of critical junctures of our times. The social sciences, and sociology in particular, are making important efforts to understand how the crisis is evolving and to foresee how our societies may be affected. The impacts of the crisis are unevenly distributed among geographic areas, activity sectors and social collectives. In particular, several areas of Europe have been affected in distinctive ways.
This special issue is dedicated to investigating a range of social effects in Southern Europe with a focus on the “social landscape” that is emerging post-crisis. The background assumption of this editorial and the articles in this special issue is that socioeconomic conditions, social arrangements, and institutions have shaped the social impact of the pandemic, together with the capacities to react in the public sphere and citizens’ resilience.
Southern European countries are a strategic research site for observing such effects, because of their distinctive social configurations. The five articles in the special issue study in detail the hidden unemployment in vulnerable collectives, the reactions expressed on digital social networks, the effects on and collective action of cultural workers and artists, health perception during confinement, and social innovation related to caring for childhood. Some contributions are of a comparative nature and look at several countries. Others focus on specific countries and regions. They provide key insights for understanding the social significance of the pandemic and the peculiarities of Southern Europe.
‘On Both Sides of the Strait’: Discourses and Policies on Cultural Diversity in Southern Mediterranean Spain
Authors: Venegas Mar , Luque Mónica , Velasco Elisa , Sánchez Kiko
Published: April 2023

This article aims to analyse the evolution, and current situation, of discourses and policies on cultural diversity in primary schools on both sides of Southern Mediterranean Spain around the Strait of Gibraltar (Andalusia, Murcia, Ceuta and Melilla). To do so, the methodology designed is based on two techniques: documentary analysis of secondary sources (regulations, statistics) and personal interviews with administrative and political personnel from the regional education administration (discourses). Based on the data analysed, the article shows how the arrival of students of foreign origin in the 1990s stimulated education policies of exogenous cultural diversity, whereas endogenous cultural diversity is inherent to historically multicultural societies (‘diversicracy’). The data lead to the conclusion that there is a need to re-politicise educational policy on cultural diversity to promote interculturality based on citizenship rights and social justice, for which a rights-based approach is particularly appropriate.