bluuebunny/crossref_metadata_2025 huggingface dataset:
Producción neta del ecosistema durante la sucesión ecológica secundaria: lecciones desde el bosque tropical seco
Authors: Rojas Robles Nidia E. , Yépez Enrico A. , Alvarez-Yépiz Juan Carlos , Sanchez-Mejía Zulia M. , Garatuza-Payan Jaime , Rivera-Díaz Miguel A.
Published: April 2023

Los ecosistemas continuamente intercambian carbono y vapor de agua con la atmósfera a través de procesos ecosistémicos. En general, la producción neta del ecosistema refleja el balance entre los flujos de entrada de carbono por productividad y la liberación por la respiración ecosistémica. Evaluar esta producción a lo largo de los cambios producidos por la sucesión ecológica secundaria representa un desafío muy grande. En este contexto, la técnica de covarianza de vórtices está siendo ampliamente utilizada para cuantificar flujos ecosistémicos de manera continua. En el bosque tropical seco se han establecido varios sitios de monitoreo utilizando esta técnica para conocer la funcionalidad del ecosistema durante la sucesión ecológica. Esta información puede contribuir a la toma de decisiones en términos de conservación y administración de servicios ecosistémicos, así como para alimentar modelos para predecir la respuesta de este ecosistema estacional seco al cambio climático. Los ecosistemas tropicales secos son de gran relevancia para el ciclo del carbono debido a su considerable extensión y productividad. El reto de estudiar estos ecosistemas radica en que su dinámica de producción de carbono está acoplada principalmente a la disponibilidad estacional de agua. De manera que, el objetivo de este trabajo fue actualizar la información de las interacciones biosfera-atmósfera utilizando la técnica de covarianza de vórtices particularmente en bosques tropicales secos, con el fin de resaltar el efecto de la sucesión ecológica en la dinámica del carbono en estos bosques. Asimismo, se muestra y resalta la importancia local y global de este tipo de sistemas de monitoreo funcional de ecosistemas en México.
Control of fluid flow movement in porous medium with NMR-relaxometry method
Authors: V.V.Maikov  , S.V.Zhakov  , I.V.Byzov  , A.A.Mysik
Published: April 2023

The possibility of fixing velocities of fluid motion in model porous medium (glass beads) by measuring the transverse relaxation time T2 by spin echo method is shown. The magnetic field gradient arising due to the difference in the magnetic permeability of the fluid and the porous medium causes a decrease in the average time T2, wich makes it possible to fix the fluid motion in the absence of an external magnetic field gradient. The addition of magnetic nanoparticles to the fluid under study increases the dependence of T2 on fluid velocity and increases the sensitivity in determining the permeability of porous medium by NMR-relaxometry. Keywords: porous media, fluid flow, NMR-relaxometry, magnetic nanoparticles.
Investigation of focusing properties of photovoltaic module concentrator in a wide temperature range
Authors: Ionova E.A.  , Davidyuk N. Y.
Published: April 2023

In the current work properties of a solar radiance concentrator with Fresnel lens made of Elastosil RT604 silicon made by Wacker have been investigated. The dependence of concentrator focal distance on temperature has been determined. Impact of variation of temperature-dependent concentrator focusing properties on the magnitude of short current of photovoltaic submodule has been determined by direct measurements using solar simulator. Using formalized model of modules based on the studied concentrator and solar cells with three and six p-n- junctions dimensions of a solar image in a wavelength range corresponding to an absorption profile of individual p-n- junctions has been calculated for the temperature range 10-60oC. It has been concluded that in the case of three p-n- junctions the minimum size of solar image at focal plane was 4.7 mm with the distance between the concentrator and solar cell being equal to 106.25 mm, and in the case of six p-n- junctions, the minimum size was 4.8 mm with the distance between concentrator and solar cell being equal to 106.5 mm. Keywords: silicone lens, Wacker RT604, concentrator photovoltaic module, multijunction solar cells.
Theory of quasi-static magnetoelectric interaction in three-layer asymmetric piezomagnetostrictive structures
Authors: D.A. Filippov  , T.A. Galkina  , I.N. Manicheva
Published: April 2023

The work is devoted to the theoretical investigation of the quasi-static magnetoelectric interaction in three-layer structures consisting of a piezoelectric and two magnetic layers with positive and negative magnetostriction. Using the system of elasto- and electrostatics equations for the piezoelectric and magnetostrictive phases, expressions for the electrical response of the structure in a magnetic field are obtained. The contributions from longitudinal and bending deformations are taken into account in value of ME interactions. It is shown that the use of an asymmetric three-layer asymmetric structure leads to an increase in the magnitude of the ME interaction by almost an order of magnitude compared to a two-layer structure. The dependences of the effect magnitude on the thickness of the third layer for the nickel/lead zirconate titanate/metglas structure are presented. Keywords: piezomagnetostrictive composites, magnetostriction, piezoelectricity, magnetoelectric effect, gyrator, harvester.
Influence of microwave electromagnetic field on interlayer strength in cured polymer composite materials
Authors: Zlobina I.V.  , Bekrenev N.V.  , Egorov A.C.  , Kuznetsov D. I.
Published: April 2023

It has been established that exposure to a microwave electromagnetic field with an energy flux density that is rational for each type of composite (carbon-, glass-, organoplastic) contributes to an increase in the specific work of delamination by 18.6%, 12% and 20%, respectively, which satisfactorily correlates with an increase in strength of these materials under three-point bending and interlaminar shear. Keywords: carbon fiber reinforced plastics, fiberglass plastics, organoplastics, delamination, microwave electromagnetic field.
Influence of Synthesis Conditions on the Structural, Optical, and Electrophysical Properties of TiO-=SUB=-2-=/SUB=-/Cu-=SUB=-x-=/SUB=-O Nanocomposites
Authors: Martyshov M. N.  , Pavlikov A. V.  , Kytina E. V.  , Pinchuk O. V.  , Savchuk T. P.  , Konstantinova E. A.  , Zaitsev V. B.  , Kashkarov P. K.
Published: April 2023

Nanocomposites based on anodic titanium oxide nanotubes with copper oxide nanoparticles were formed and their structural, optical, and electrophysical properties were studied. Defects in the structure of the samples were identified by electron paramagnetic resonance and it was shown that, as a result of copper oxide deposition, CuO nanoparticles were formed on the surface of nanotubes. It was found that the conductivity of the structure decreases by several orders of magnitude with an increase in the number of deposition cycles. It was shown that this effect could be associated with the formation of TiO2/CuO heterojunctions on the nanotube surface. It was shown for the first time that an increase in the content of copper oxide in TiO2/CuxO nanocomposites was accompanied by a decrease in conductivity and an increase in the number of defects. Keywords: titanium oxide, nanotubes, nanocomposites, copper oxide nanoparticles, defects, conductivity.
Statistical evaluation of the characteristics of damaged solar panels of spacecraft
Authors: Abdurahimov А.А.  , Levandovich A.V.
Published: April 2023

The change in the characteristics of a solar battery as a result of a random abrupt change in the properties of individual solar cells, which occurred as a result of a single or systematic impact of adverse factors in near-Earth outer space, is considered. The choice of the calculation scheme for constructing a model of a single solar cell is substantiated. For this situation, analytical mathematical models of typical connections of solar cells have been developed. Using the developed models, the current-voltage and volt-watt characteristics of the solar battery are analyzed in the case of an abrupt decrease in the photocurrent of solar cells with different probabilities. A statistical analysis of the characteristics of damaged solar cells was carried out using simplified logical-analytical models with the introduced circuit loss coefficient. Estimates of the values of the coefficient of circuit losses for typical schemes for connecting solar cells are given. Keywords: solar cell, voltage characteristic, functioning model, damaged solar battery.
Physical processes in the Pirani type low vacuum sensor
Authors: Rut’kov E. V.  , O.A. Beliaeva  , Gall N. R.
Published: April 2023

Auger electron spectroscopy and thermoresistive methods are used to study the physical processes leading to gas cooling of heated molybdenum filaments in a wide temperature range of 350-1300 K and pressures of 760-10-3 Torr, corresponding to the operating range of a Pirani-type vacuum sensor. Nitrogen was used as the gas. It is shown that nitrogen atoms chemisorbed on the surface do not contribute to gas cooling, which occurs only due to physisorbed N2 molecules. In the intermediate vacuum region of 10-3-1 Torr, the heater is cooled due to the equilibrium between the flux of incident and thermally desorbed molecules, which is well described by the Hertz--Knudsen formula and first-order desorption with an activation energy of ~0.55 eV. On the contrary, at high pressures close to atmospheric, this cooling occurs due to the thermal desorption of gas molecules from an almost filled monolayer, which reduces its relative efficiency by many orders of magnitude. Keywords: vacuum, adsorption, Pirani sensor, molybdenum, thermal desorption, nitrogen.
The mechanism of current flow in composite alumochromiun ceramics during its electron beam sintering in a forevacuum
Authors: Zenin A. A.  , Bakeev I. Yu.  , Dolgova A. V.  , Klimov A. S.  , Oks E. M.
Published: April 2023

It is shown that during electron beam sintering in the forevacuum pressure region of powder components of composite Al2O3-Cr ceramics, the magnitude of the current flowing through the sample depends both on the percentage of chromium and on the heating temperature of the sample. When a certain temperature is reached, the process of current flow is influenced by thermoelectric emission from the sample surface. Along with the ions from the beam plasma, a noticeable thermoelectric emission current contributes to the process of neutralizing the charging of the ceramic surface with an electron beam and reduces the absolute value of the negative potential of the sample surface. This ultimately contributes to an increase in the efficiency of energy transfer from the electron beam to the sample. Keywords: Electron beam irradiation of oxide ceramics, electrical conductivity, alumina ceramics, chromium, composite, electron beam, forevacuum.
Adherence to Blood Glucose Self-Monitoring Guidance and Glycemic Control in Chinese Patients with Type 2 Diabetes Mellitus Initiating Basal Insulin: An mHealth-Based Prospective Cohort Study (Preprint)
Authors: Guo Lixin , Zhu Dalong , Chen Kaining , Xue Yaoming , Zhou Chao , Liu Ping , Hu Zhaohui , Gu Pei , Zhang Wei , Dong Huijie , Xie Wanjun
Published: April 2023

BACKGROUND

Diabetes has become a severe health threat in China, owing to its increasing prevalence, long-term morbidity, and mortality.

OBJECTIVE

This study evaluated the association between adherence to blood glucose self-monitoring guidance and glycemic control among patients with T2DM A 12-week mHealth-based prospective cohort study was conducted. Patients received recommendations on self-monitoring of blood glucose (SMBG) testing frequencies and uploaded testing results through smart glucose monitoring devices. initiating basal insulin in China.

METHODS

A 12-week mHealth-based prospective cohort study was conducted. Patients received recommendations on self-monitoring of blood glucose (SMBG) testing frequencies and uploaded testing results through smart glucose monitoring devices.

RESULTS

A total of 14,084 patients from 242 hospitals were enrolled. Most patients (73.3%) had <4 times SMBG testing per week, and these patients were significantly older, mostly males, had a longer duration of diabetes, lower income and received less education than patients with better adherence. Larger HbA1c reduction was observed in patients with 4-7 and ≥7 times of SMBG testing per week compared to patients with <4 times of SMBG testing per week (LS mean difference [95% CI]: -0.10 [-0.18, -0.02], and -0.17 [-0.26, -0.08], respectively, and this was more prominent in patients with baseline HbA1c >9%. The benefit of improving adherence to SMBG guidance was consistently found for FBG reduction, HbA1c, and FBG target rate.

CONCLUSIONS

The study demonstrated a positive relationship between adherence and glycemic control and identified patient characteristics with poorer adherence for further customization of mHealth.
Increasing the growth and yield of shallot (Allium cepa L. Aggregatum group) by using Methyl Jasmonic Acid (MeJA) concentrations under drought condition
Authors: Susilowati Rizqi Dyah , Sulistyaningsih Endang , Murti Rudi Hari
Published: April 2023

Drought is one of the limiting factors for plant production, and there is a continuous demand for drought tolerant plants. Shallots are considered a shallow-rooted crop and have been reported to have little tolerance to drought conditions. One of the efforts to increase plant tolerance to drought conditions is through the addition of Methyl Jasmonic Acid (MeJA). MeJA is involved in several physiological and biochemical procedures in plant growth and development. Application of MeJA can increase the plant tolerance to drought conditions through chlorophyll synthesis, stomatal conductivity, transpiration, net photosynthetic rate and biomass production. This research was conducted in a complete randomized block design with three replications to determine the response of shallot plants to the application of MeJA (0 µM, 25 µM, 50 µM and 100 µM) under drought conditions, which was simulated through the frequency of watering (once daily, every other day, once in three days). Soil water content calculated before the watering treatment was 24.45%, 20.34% and 18.45% for watering once daily, every other day, once in three days, respectively. The results showed that the addition of MeJA played a role in enhancing the growth and productivity of shallot plants under normal and drought conditions. Application of 50 µM of MeJA could increase the Water Use Efficiency, maintain the Relative Water Content, increase the width of stomatal aperture, and increase the leaf area and Leaf Area Index. This also led to increasing Net Assimilation Rate and Plant Growth Rate. Application of 50 µM of MeJA gave in increasing bulb productivity and reached 7.86 ton.ha-1, which was 58.2 % higher than that of in control (without MeJA application). Application of MeJA to shallot plants exhibited avoiding type of physiological tolerance.
Morphological characterization of papaya accessions in Jember through multivariate analysis
Authors: Rusdiana Riza Yuli , Sa'diyah Halimatus , Sari Vega Kartika , Hariyono Kacung , Hartatik Sri
Published: April 2023

This study aimed to select the most informative morphological descriptors in characterizing and distinguishing papaya accessions in Jember. The multivariate analysis was used to i) determine the closeness between the papaya accessions collected based on morphology descriptors and ii) define a list of sufficient minimum descriptors to distinguish papaya accessions in Jember. Five quantitative and fifteen qualitative descriptors were used in evaluating 23 accessions. The data collected through quantitative descriptors were analyzed by the means of PCA­biplot analysis and qualitative descriptors were analyzed using entropy level. Statistical analysis was carried out by R studio software using two packages, i.e. biotools and factoextra packages. Based on the research results, the first two principal components of the PCA­biplot representation of 23 accessions were able to evaluate 67.18% of the total variability. The accessions located in KAL­SUK, GUM­PUR 1, and GUM­PUR 2 had similarities in tree diameter and width of mature leaf characters, while KAL­PLA, MUM­SUM 1, LED­SLA, MUM­LEN 1, SUM­RO 2, and SUM­JAM accessions shared similarities in the length of mature leaf, petiole, and peduncle. The minimum descriptors that could be used to characterize papaya plant accessions in Jember were two quantitative descriptors (tree diameter and length of mature leaf) and three qualitative descriptors (general shape of mature leaf teeth, height to first fruit, and stem color). The combination of quantitative­qualitative descriptors allowed the simple and rapid characterization of papaya accession. In addition, it could reduce costs and labor without losing information in the characterization of papaya plants.
An Interpretation of Chillingworth in The Scarlet Letter from the Perspective of Jung’s Archetype Criticism
Authors: Zhao Zhang
Published: April 2023

Nathaniel Hawthorne’s The Scarlet Letter is a literary canon in American literature. As a classic, this novel has already been interpreted in many ways, such as feminism, existentialism, ecofeminism and so on. However, as for the analysis of characters, the research of the novel The Scarlet Letter mainly concentrates on Hester or Dimmesdale, yet Roger Chillingworth hasn’t been studied in depth. This essay is going to delve into the psychological process of Chillingworth’s tragedy in The Scarlet Letter based on Jungian archetypal theory. This essay discusses Chillingworth’s destruction, mainly attributes to the main archetypes of the “persona” and the “shadow” that manifest in him. The importance to realize and adjust one’s archetypes to a balanced state for a healthy psyche is shown in this essay. Furthermore, by understanding Chillingworth’s tragedy helps readers to avoid such kind of tragedies.
Altura del maxilar superior de acuerdo al patrón facial
Authors: Medina Siguenza Paúl Efraín , Lima-Illescas Miriam Verónica , Bastidas-Calva Magda Zulay , Jiménez-Romero Magaly Noemí
Published: April 2023

Introducción: el crecimiento de los huesos faciales es un proceso que varía de acuerdo con factores raciales, dentales y genéticos, este crecimiento puede condicionar alteraciones en el patrón facial. Objetivo: determinar si existe correlación entre el aumento o disminución de la altura maxilar anterior y posterior del hueso maxilar, y el patrón facial en individuos de 18 a 45 años de edad. Material y métodos: estudio observacional, descriptivo y transversal con un enfoque correlacional. La población estuvo conformada por 500 radiografías cefálicas laterales en formato digital. Sólo 241 radiografías cumplieron con los criterios de selección, las cuales fueron trazadas para finalmente seleccionar de manera aleatoria 160. Se clasificaron en cuatro grupos de acuerdo al patrón facial: bajo, medio bajo, medio alto y alto. Después, se procedió a medir la altura del maxilar en el sector anterior y posterior. Las variables estudiadas fueron: edad, sexo, patrón facial, altura anterior del maxilar y altura posterior. Para medir las variables se utilizó el programa AutoCAD® V2020 y para el análisis estadístico se usaron las pruebas paramétricas con un nivel de confianza de 95% (p < 0.05). Resultados: de las 160 radiografías analizadas, la edad del paciente no tuvo correlación con el patrón facial p > 0.05. El sexo y la altura anterior del maxilar presentaron una correlación significativa en hombres, con el patrón facial alto con un valor de p = 0.000, y su grado de correlación fue positivo y bajo (rho de Spearman = 0.243). La altura facial posterior del maxilar no mostró diferencias significativas (p = 0.145). Conclusiones: en los hombres los patrones faciales altos muestran mayor altura maxilar anterior. El dimorfismo sexual es evidente en individuos masculinos que presentan un ángulo alto de patrón facial.
Tratamiento de «camuflaje o compensación», solución o engaño
Authors: Puebla Ramos Lorenzo
Published: April 2023

Los pacientes merecen ser diagnosticados y tratados de forma tridimensional. Existe un alto porcentaje de tratamientos de ortodoncia fallidos o con elevada cantidad de recidiva, me refiero específicamente a los tratamientos mal llamados de «compensación o camuflaje». Éstos son precisamente los tratamientos en donde no se hizo lo que se debía haber realizado, sobre todo en los casos de cirugía ortognática, como también en casos en los que quizá se requiere de extracciones y por el afán de evitarlas no se cumplen los objetivos de oclusión orgánica, salud articular, estética facial, función respiratoria, etcétera.
Análisis comparativo de la distancia intercanina del arco dental inferior en pacientes con y sin tratamiento de extracciones de primeros premolares
Authors: Sáenz Nevárez Paola , Justus Roberto , Ondarza-Rovira Ricardo , García López Salvador
Published: April 2023

Introducción: en el tratamiento de ortodoncia es fundamental lograr armonía entre las formas del arco dental y del hueso basal. El tamaño y la forma de los arcos dentales tienen implicaciones considerables en el diagnóstico y en la planificación del tratamiento. Objetivo: comparar la dimensión transversal del arco inferior, midiendo la distancia intercanina al iniciar y al finalizar el tratamiento ortodóncico en pacientes del Posgrado de Ortodoncia de la Universidad Intercontinental, que hayan sido tratados con y sin terapia de extracciones de primeros premolares inferiores. Material y métodos: se realizó un estudio cuantitativo, en el cual se analizaron 120 modelos de yeso inferiores iniciales y finales de 60 pacientes seleccionados de manera aleatoria, de los que 30 correspondieron a casos sin extracciones de premolares y 30 a pacientes con extracciones de primeros premolares. Posteriormente se midió la distancia intercanina utilizando un vernier digital. Resultados: no hubo diferencias estadísticamente significativas en el promedio de la distancia intercanina en pacientes tratados sin extracciones (32.49 ± 1.57 mm), comparado al finalizar el tratamiento (32.72 ± 1.36 mm). Sin embargo, sí hubo diferencias estadísticamente significativas en los casos tratados con extracciones al inicio del tratamiento (32.19 ± 2.17 mm), comparados con el postratamiento (33.96 ± 1.47 mm), p < 0.05. Conclusión: se observó un aumento significativo en la dimensión transversal inferior del arco dentario en los pacientes tratados con terapia de extracciones de primeros premolares. Mientras que, en los pacientes tratados sin extracciones, la dimensión intercanina mantuvo los valores de pretratamiento.
Estadios de maduración ósea digitopalmar en pacientes de la Clínica de Ortodoncia de la Universidad de Ixtlahuaca en comparación a los criterios establecidos por Björk, Grave y Brown, agosto 2016-julio 2018
Authors: Velázquez Velázquez Edith , Doroteo Chimal Carlos , Díaz Arizmendi Leopoldo Javier , Suárez Benítez Mary Carmen
Published: April 2023

Se realizó un estudio descriptivo y transversal, el objetivo fue comparar los estadios de maduración ósea digitopalmar según los criterios establecidos por Björk, Grave y Brown, en pacientes que acuden a la Clínica de Ortodoncia de la Universidad de Ixtlahuaca CUI, en el periodo de agosto de 2016 a junio de 2018. Se estudió una muestra de 202 radiografías digitopalmares de pacientes de seis a 12 años. Los estadios de maduración ósea se determinaron a través del método de Björk, Grave y Brown por análisis radiográfico y análisis por edad. Se concluyó que en la evaluación del potencial de crecimiento que presentan los pacientes de ortopedia miofuncional, es insustituible la radiografía digitopalmar por radiografías dentoalveolares u ortopantomográficas, pues permite un diagnóstico asertivo con una medición completa en la osificación esqueletal.
Análisis cefalométrico del espacio óseo posterior para el brote de los terceros molares
Authors: Rodríguez del Toro Mercedes , González Espangler Liuba , Romero García Lázaro Ibrahim
Published: April 2023

Introducción: el análisis cefalométrico es un método de medición que se puede utilizar para calcular el espacio óseo posterior y el brote de los terceros molares. Objetivo: estimar la magnitud de cambios del espacio óseo posterior para el brote de los terceros molares, según las etapas de crecimiento y desarrollo. Material y métodos: se realizó un estudio observacional, descriptivo y transversal en Santiago de Cuba, de noviembre de 2019 a febrero de 2020. Se seleccionaron tres muestras aleatorias (n1 = 100 infantes, n2 = 100 adolescentes y n3 = 21 jóvenes). Las variables estudiadas fueron edad, ubicación de los terceros molares y espacio óseo posterior. La información se extrajo de ortopantomografías y se resumió en media y desviación estándar (DE). Resultados: los promedios del espacio óseo posterior para la erupción de los terceros molares de acuerdo con localización, etapa de crecimiento y desarrollo presentaron diferencias estadísticamente significativas para cada una de las hemiarcadas dentarias (p < 0.001). Se detectó un aumento en el espacio óseo posterior en relación con la edad (en los tres grupos), de acuerdo con las distintas localizaciones de terceros molares. Conclusiones: la magnitud de cambios del espacio óseo posterior para la erupción de los terceros molares, según las etapas de crecimiento y desarrollo, son considerables, con énfasis entre la infancia y la adolescencia. Este fenómeno se presenta probablemente porque son los periodos cuando se producen cambios significativos en el crecimiento del maxilar y la mandíbula.
AI Based Disease Predictor Model
Authors: Gase Miss. Vaishnavi Balasaheb , Ande Mr. Vipul Rajendra , Shirbhate Miss. Sakshi Rajendra , Patil Miss. Vaishnavi Harishchandra , Shelokar Prof. Yogesh R.
Published: April 2023

Abstract: Diseases tracing plays important role in daily life. Every one cares about their own health. According to some social study, lot of people spends their time on online searching of health related issues. By browsing they get lot of information about the medical concepts and health related issues. Normally, people use Google to search their queries and that search engine respond them with the answer but that answer is in scattered format. User does not gets the exact answer for their queries. From previous work there has been vital work on the information needs of health seekers in terms of questions and then select those that ask for possible disease of their manifested symptoms for further analytic. To resolve such issues an extensive experiments on a real-world dataset labeled by online doctor’s show the significant performance. In this project, further restructuring of the question and answer has been done in order to get the exact answer of query. A tag mining framework for health seekers will be proposed; aim to identify discriminant features for each specific diseaases.
Cotton Disease Detection and Cure Using CNN
Authors: Jadhav Amit , Chaudhari Shubham , Gupta Ankush , Mithbavkar Dr. S. A.
Published: April 2023

Abstract: Cotton is an important crop that plays a significant role in the global economy. However, cotton plants are vulnerable to various diseases that can significantly affect crop yield and quality. Therefore, the early detection and diagnosis of cotton diseases are crucial for ensuring efficient crop management and reducing economic losses. In this project, we propose a deep learning-based approach for cotton disease prediction using convolutional neural networks (CNNs) and ResNet50. The proposed system is designed to classify six different types of cotton diseases based on their visual symptoms. We collected a large dataset of cotton plant images infected with different diseases, and we used this dataset to train and evaluate our CNN model. The CNN model consists of multiple convolutional layers, followed by pooling layers and fully connected layers. We used transfer learning to fine-tune a pre-trained CNN model for our specific classification task. The proposed system achieved an overall accuracy of 97.66% on the test dataset, demonstrating its effectiveness in predicting cotton diseases. The proposed system has the potential to be used as a reliable tool for early detection and diagnosis of cotton diseases, thereby improving crop management practices and reducing economic losses.
Arduino-Based Embedded System Module
Authors: Sharma Harshita , Prajapat Hemlata , Yadav Jayant , Bhatra Lakshya , Deo Akash
Published: April 2023

Abstract: An embedded system is a special-purpose computer system. They are important now a days as they control numerous common devices we use. It is designed to perform functions, frequently with real-time computing constraints. The project objective is to design a development board that consists of various modules of embedded system applications. Arduino board has allowed numerous engineers to incorporate embedded systems in their designs due to its ease of operation. In this project, PCB is designed on a circuit design software DIPTRACE, i.e. an ECA/CAD software to make schematic design and printed circuit board. This project facilitates the end users by providing different operations of an embedded system on a single development board, like a Gas sensor, Temperature sensor, motor driver, etc.
Challenges & Prospects of River Interlinking in India
Authors: Shrivastava Er. Divyanshu , Anupam Ar.
Published: April 2023

Abstract: River interlinking is a proposed scheme aimed at connecting the country's rivers to facilitate water transfer from water-rich basins to water-deficit ones. The project has been lauded for its potential to address the challenges of water scarcity, irrigation, and hydropower generation in India. However, it also faces significant challenges, including environmental, social, economic, and political issues that must be addressed. This paper aims to explore the challenges and prospects of river interlinking in India. It involved a systematic review of existing literature, including policy documents, scholarly articles, and reports. The results indicate that river interlinking in India faces several challenges, such as potential ecological damage, conflicts over water sharing, and the displacement of communities. However, the scheme also offers significant benefits such as increased water availability, flood control, and improved livelihoods.
E-Commerce Website based on Chatbot
Authors: Sharma Pankaj , Patel Darshan , Wankhede Vikki , Shirbhate Prof. Radha
Published: April 2023

Abstract: Nowadays, traditional markets are gradually are being replaced by many online marketplaces. Fierce competition in the online market demands excellent service from both sellers and buyers, so many online stores offer his 24-hour service. This service would certainly cost a lot of money if done manually. Chat bots can be used as a solution for automated shopping online. Second, the bot must be able to answer accurately and quickly. In this study, we propose an intelligent chatbot system based on AIML (Artificial Intelligence Markup Language) that can be used as an e-commerce assistant. Input questions from users are processed in her three phases: parsing, pattern matching, and AIML crawling the data. In the AIML process, user requests fall into his three categories: general questions, calculations, and inventory checks. Where compute requests intercept the order and payment process
Identification of Suicidal Intent Using Machine Learning Techniques over Twitter Data
Authors: Kadam Shivam , Kulkarni Sohum , Padamwar Saakshi , Bhagat Prof. Shubhangi
Published: April 2023

Abstract: Machine learning based on categorical classification has integrated usages in a variety of fields like prediction, finance, supply chain management, sales and operations as well as product analytics. This study shows how Support Vector Machine Learning Model from the Supervised Learning sub-branch of Machine Learning predicts the suicidal intent of a person’s “tweet” on the social media platform ‘Twitter’. This model basically indicates whether the text tweeted or posted by a person may be suicidal or not. Regularised data set for Modeling is divided into test data set and training data set at the rate of 3:7. Machine Learning for this study needs to use Pandas, Numpy , Pillow, ScikitLearn, Textblob and Nltk frameworks. Massive amount of actual Twitter data is used as a dataset for the training and testing purpose so the model can analyse the text with maximum accuracy
Smart Irrigation System Using IOT
Authors: Kumari Megha , Kasib Mohd , Singh Parnika , Khan Athar , Singh Shivam , Singh Balwant
Published: April 2023

Abstract: In India, husbandry depends on the showers which aren't sufficient source of water. So the irrigation is used in husbandry field. Internet of effects (IOT) is a corner in the elaboration of technology. IOT plays an important part in numerous fields, one of that's Agriculture by which it can feed billions of people on Earth in future. The ideal of this paper is aiming to overcome this challenge, the whole system is micro control grounded and can be operated from remote position through wireless transmission so there's no need to concern about irrigation timing as per crop or soil condition. Detector is used to take detector reading of soil like soil humidity, temperature, air humidity and decision timber is controlled by stoner(planter) by using microcontroller. The data entered from detectors are transferred to garçon database using wireless transmission.
Knee Osteoarthritis Detection and Severity Prediction Using Convolutional Neural Network
Authors: C Yashas , K R Suman , S Vighnesh , K U Sudeep
Published: April 2023

Abstract: The worst kind of arthritis is knee osteoarthritis (KOA). If left untreated, it can require a knee substitute. Right away KOA diagnosis is therefore essential for the best possible care. The manual detection of KOA is a laborious and susceptible to mistakes process. Computational methods are required for timely and accurate detection. The failure of the connective tissue in the knee joint, which results in bone fragments rubbing against other bones, leads to osteoarthritis of the knee. The wear and tear hurt, stiffens, and inflames the knees. Even though osteoarthritis of the knee cannot be cured, there are several treatments that can help to reduce symptoms and decrease the condition's development. A radiologist grades the anomalies on knee X-ray pictures according to their severity using Kellgren-Lawrence's five-point ordinal scale (0–4). The datasets must be trained first using the CNN approach, which is used in this study. Various convolutional layers emerge on the CNN algorithm during training, and the precision increases with each layer. Once uploaded, the X-ray image is shrunk, its color is turned to grey, and several Convolutional layers are applied to it with the help of the CNN algorithm.
IMPLEMENTASI PERATURAN WALIKOTA PEKANBARU NOMOR 68 TAHUN 2020 TENTANG PENYELENGGARAAN PELAYANAN KESEHATAN PADA RUMAH SAKIT DAERAH MADANI KOTA PEKANBARU
Authors: Vironika Suci , Yuliani Febri
Published: April 2023

Rumah Sakit Daerah Madani adalah rumah sakit pertama milik Pemerintah Kota Pekanbaru yang menyediakan serta menyelenggarakan pelayanan kesehatan untuk masyarakat secara keseluruhan baik masyarakat Kota Pekanbaru maupun luar Kota Pekanbaru. Tujuan penelitian ini untuk mengetahui dan menganalisis Implementasi Peraturan Walikota Pekanbaru Nomor 68 Tahun 2020 Tentang Penyelenggaraan Pelayanan Kesehatan pada Rumah Sakit Daerah (RSD) Madani serta menganalisis faktor penghambat dalam memberikan pelayanan kesehatan di RSD Madani Kota Pekanbaru. Metode penelitian yang digunakan yaitu kualitatif dengan teknik pengumpulan data dengan wawancara dan dokumentasi. Hasil penelitian ini adalah Implementasi Peraturan Walikota Pekanbaru Nomor 68 Tahun 2020 Tentang Penyelenggaraan Pelayanan Kesehatan pada Rumah Sakit Daerah Madani belum berjalan dengan maksimal. Faktor penghambat RSD Madani dalam memberikan pelayanan kesehatan adalah sosialisasi RSD Madani kepada masyarakat belum maksimal, ketersediaan sumber daya manusia RSD Madani yang belum memadai, sarana dan prasarana serta kondisi fisik bangunan RSD Madani yang belum sempurna. Hal tersebut memberikan pengaruh terhadap Implementasi Peraturan Walikota Pekanbaru Nomor 68 Tahun 2020 Tentang Penyelenggaraan Pelayanan Kesehatan pada Rumah Sakit Daerah Madani
EKSISTENSI “BALIHO 2024” DALAM PERTARUNGAN ELEKTABILITAS: ANALISIS PENCITRAAN TOKOH POLITIK
Authors: Khatami Muhammad Iqbal
Published: April 2023

Fenomena kemunculan media luar ruang berupa billboard dan baliho yang dimunculkan oleh para tokoh politik menjadi perbincangan di ruang publik karena dikaitkan dengan proses menuju Pemilu 2024. Dalam penelitian ini, peneliti melihat eksistensi “baliho 2024” dari empat tokoh politik di antaranya Puan Maharani, Airlangga Hartanto, Agus Harimurti Yudhoyono, dan Muhaimin Iskandar. Tujuan penelitian ini menganilis komunikasi politik dan pencitraan tokoh politik pada perbincangan publik di media massa daring diantaranya Tempo.com dan Kompas.com serta pada hasil pencarian Twitter. Dalam penelitian ini, peneliti menjelaskan tentang distribusi sentimen perbincangan yang hadir di ruang publik, indikator-indikator yang memengaruhi sentimen, serta melihat pengaruhnya terhadap pertarungan elektabilitas antar ke empat tokoh politik tersebut. Metode yang digunakan dalam penelitian ini adalah kualitatif dengan Analisis yang digunakan adalah deskriptif. Sedangkan pemerosesan data melalui software Nvivo 12 Plus. Hasil penelitian ini menggambarkan bahwa sentimen negatif dominan terbangun di perbincangan publik pada pemberitaan dan hasil pencarian Twitter. Dengan indikator tertinggi yakni kemunculan Baliho 2024 dianggap tidak tepat karena dikaitkan dengan kondisi Pandemi Covid-19. Adapun kaitannya dengan elektabilitas, sentimen  perbincangan di ruang maya tidak menjadi pengaruh utama dalam pertarungan elektabilitas mengingat adanya kenaikan elektabilitas ke empat tokoh politik tersebut di bulan September dibanding bulan Juni. Hal tersebut juga bergantung pada segmen pasar pemilih yang menjadi target.
IMPLEMENTASI PROGRAM KAMPUNG KB DALAM MENEKAN PERTUMBUHAN PENDUDUK DI NTB BERDASARKAN PERGUB NOMOR 6 TAHUN 2019
Authors: Maolana Lalu Adit Cahaya , Zaenuri Muchammad
Published: April 2023

Indonesia merupakan negara ke 4 dengan jumlah penduduk terpadat di dunia. Oleh sebab itu, laju pertumbuhan penduduk merupakan salah satu permasalahan utama yang dihadapi oleh Indonesia, termasuk di Provinsi Nusa Tenggara Barat sebagai salah satu provinsi dengan tingkat laju pertumbuhan yang cukup tinggi di Indonesia. Penelitian ini bertujuan untuk menganalisis kebijakan Provinsi Nusa Tenggara Barat melalui Peraturan Gubernur Nomor 6 Tahun 2019 tentang Program Kampung KB Keluarga Berencana yang bertujuan untuk mengurangi tingkat laju pertumbuhan penduduk. Penelitian dilakukan di Provinsi NTB dengan menggunakan metode penelitian kualitatif deskriptif. Teknik pengumpulan data dilakukan melalui wawancara dan dokumentasi dengan indikator penelitian yaitu implementasi kebijakan, pertumbuhan penduduk, dan tingkat pendidikan sebagai acuan sejauh mana efektifitas dari Peraturan Gubernur Nomor 6 Tahun 2019 tentang Program Kampung KB (Keluarga Berencana). Hasil penelitian menunjukkan bahwa masih banyaknya desa atau kampung mitra sesuai Pergub Nomor 6 Tahun 2019 yang masih belum menjalankan program dengan maksimal, yang disebakan karena kurangnya kesadaran terhadap permasalahan laju pertumbuhan penduduk. Pemerintah juga telah mengeluarkan berbagai macam kebijakan serupa yang terkait dengan laju pertumbuhan penduduk, akan tetapi suatu kebijakan tidak akan berjalan jika tidak diimbangi dengan kesadaran dan keseriusan dari masyarakat.
Analisis Kadar Kurkumin pada Herbal Oil Kunyit Ekstrak Virgin Coconut Oil dengan Metode Ultrasonik dan Maserasi
Authors: Mahmudah Rif’atul , Nada Ufilia Quthrotun , Aulia Sakinatul
Published: April 2023

Vegetable oil theoretically and experimentally has proven its potential as an alternative solvent in the extraction of natural materials. Turmeric infused with virgin coconut oil (VCO) is a way to take advantage of the active compounds from the herbs and the oil itself. This study aims to determine the ability of the VCO solvent in extracting curcumin compounds from turmeric with the addition of tween 80 surfactants. The extraction method used was maceration at 60℃ and an ultrasonic frequency of 40 kHz for 15 minutes. Thin layer chromatography (TLC) was used for qualitative analysis of each herbal oil extract using chloroform: methanol (95:5) eluent and FTIR spectrophotometer to identify functional groups. The highest curcumin content was found in herbal oil with tween 80 of 2 ml, namely 31 ppm in maceration extraction and 260.7 ppm in ultrasonic extraction. Identification of curcumin functional groups in herbal oils showed absorption patterns of O-H, C=O, aromatic C=C, C-O-C, and C-H.
The Penggunaan Sabut Kelapa Teraktivasi NaOH sebagai Adsorben Metilen Biru
Authors: Baunsele Anselmus Boy , Boelan Erly Grizca , Kopon Aloisius Masan , Taek Maximus M. , Tukan Gerardus D. , Missa Hildegardis
Published: April 2023

Methylene blue is a textile dye with carcinogenic and mutagenic properties which can cause various problems for the environment and organisms, therefore it is necessary to treat the waste. This study describes the adsorption of methylene blue using base-activated coconut coir. Coconut coir as waste was prepared into 80 mesh-sized powder and then activated using NaOH solution. The base-activated coconut fiber was then used for methylene blue adsorption under several optimization conditions such as pH, contact time, concentration, and adsorption isotherm. The determination of methylene blue was adsorbed by the adsorbent measured using UV-VIS. The pH and contact time results were 7 and 75 minutes, respectively, with the adsorption capacity (qe) of 1.98 mg g-1 and 99.91%.  The isotherm adsorption of blue methylene followed the Langmuir isotherm model with the maximum adsorption capacity (Qmax) of 0.2 mg -1. The result showed that the coconut fiber base activated could be used as a dye adsorbent.
Sintesis dan Karakterisasi Semikonduktor TiO2 Doping Magnesium dengan Metode Hidrotermal
Authors: Paramitha Tika , Utami Khoirunnisa , Anggraini Yuki Martha , Paramitha Tifa
Published: April 2023

Semiconductors are materials that range between insulators and conductors in terms of conductivity value. Titanium Dioxide (TiO2) is a semiconductor that is widely applied to various things. TiO2 has the benefits, such as being environmentally stable and inexpensive. TiO2 is photoactive in the range of ultraviolet radiation due to the band gap value of 3.2 eV. However, ultraviolet is only produced from 5% of sunlight. The research aimed to narrow the band gap energy so as to maximize light absorption. This is done by modification with the addition of Mg elements to TiO2 materials at different mass variations of Mg (1%, 1.5%, 2%) to the mass of TiO2 which is often referred to as doping. TiO2 was doped by Mg using a hydrothermal method for 24 hours with a temperature of 180ᵒC, followed by 2 hours of calcination at 400ᵒC. Then, TiO2 and Mg-doped TiO2 particles were characterized by SEM-EDX, FTIR, and UV-Vis. Based on the results of TiO2 and Mg-doped TiO2 particle characterization using SEM, both particles are spherical in shape. The success of Mg doping was identified from the data of EDX characterization, which revealed that the mass % of the Mg component increased with the greater Mg doping concentration on TiO2 particles. There was no structural change following Mg doping on TiO2 particles, as evidenced by the same peak based on the results of FTIR characterization of TiO2 and Mg-doped TiO2 particles. Moreover, a 2% Mg mass doping on pure TiO2 resulted in a decrease in band gap energy to 3.16 eV, in which the pure TiO2 was 3.39 eV. The mass doping of Mg on TiO2 required further optimization to obtain the maximum band gap energy reduction for photocatalytic applications.
Aktivitas Antioksidan, Kadar Flavonoid, dan Fenolik Total Cangkang Kerang Mutiara (Pinctada maxima)
Authors: Ngibad Khoirul , Muadifah Afidatul , Sukmawati Datin An Nisa
Published: April 2023

Antioxidant compounds are able to dampen or ward off free radicals. Living things including pearl mussels (Pinctada maxima) can produce secondary metabolite compounds (phenolics, alkaloids, and terpenoids). There have been no studies on the antioxidant potential, flavonoid content, and total phenolics of pearl clam shells. This study aimed to determine the antioxidant potential of pearl clam shell ethanol extract (EECKM) in vitro using the DPPH method. In addition, it aims to determine the total flavonoid and phenolic levels of EECKM. The powder of pearl mussel shells is soaked with ethanol and the filtrate is concentrated until a concentrated extract is obtained. Flavonoid and phenolic levels from EECKM were measured using a UV-Vis spectrophotometer. Measurement of antioxidant activity using the DPPH method. EECKM has a yield of 1.73%, flavonoid levels of 0 mg QE/g, and total phenolics of 4.8 mg GAE/g. The extract has the highest antioxidant activity for a concentration of 100 mg / L with a percent value of DPPH radical inhibition of 67.1%.
Classes U-Net: A Method for Nuclei Segmentation of Photoacoustic Histology Imaging Based on Information Entropy Image Classification
Authors: Song Wei , Liu AnRan , Zhang Yantian , Xia Yu , Wan Xincan , Zhou Lingxiao , Zhu Siwei , Yuan Xiaocong
Published: April 2023

： Due to its ability to reveal the intrinsic molecule specificity
of DNA/RNA at subcellular lateral resolution, photoacoustic (PA)
microscopy holds great promises in histopathology imaging of tissue
samples. An essential marker for subsequent illness study and diagnosis
is the histopathological picture. Segmenting the histopathological image
of cell nuclei has been significantly aided by contemporary image
processing technology, while they usually suffer from inadequate
segmentation or training resource waste. To address this challenge, we
propose an approach, called Classes U-Net, which combines the
information entropy classification with U-Net and U-Net++ architecture
for the segmentation of photoacoustic histology image. The results show
that our Classes U-Net effectively improves the DICE to 91.43%, IOU to
84.215, better than U-Net’s 83.28% and 71.35%, better than U-Net++’s
84.60% and 73.31%, and our Classes U-Net reduce the required computing
resources.
Splicing factor SRSF1 acts as a novel molecular brake for CD4 T cell activation and controls key molecular pathways in SLE
Authors: Bhargava Rhea , Lee Michelle , Upadhyay Rohit , Moulton Vaishali
Published: April 2023

T cells from systemic lupus erythematosus (SLE) patients exhibit a
hyperactive phenotype with defects in homeostasis, signaling and
cytokine production. We previously uncovered new roles for serine
arginine-rich splicing factor 1 (SRSF1) in the control of genes involved
in signaling and cytokine production in T cells. SRSF1 expression is
decreased in T cells from patients with SLE and low SRSF1 levels are
associated with severe disease activity. Mice with a T cell-conditional
deficiency of Srsf1 exhibit T cell hyperactivity, systemic autoimmunity,
and lupus-like nephritis. However, little is known about the molecular
targets controlled by SRSF1 and whether they are implicated in human
SLE. Our goal was to identify the molecular signatures controlled by
SRSF1 and evaluation by comparative bioinformatic analysis if these
genes and pathways are dysregulated in SLE. We curated publicly
available gene array datasets from SLE patients and compared them with
SRSF1-regulated genes in CD4 T cells from Srsf1-deficient mice. We
identified 169 overlapping genes controlled by SRSF1 that are aberrantly
expressed in T cells of SLE patients. Pathway analysis revealed genes
enriched in interferon signaling, cytokine production, cytokine receptor
interaction, cell migration and lysosomal clearance pathways. Our data
reveal that SRSF1 controls genes involved in T cell homeostasis,
activation, cytokine regulation/signaling and differentiation, which are
altered in patients with SLE. Therefore, SRSF1 is an important regulator
of T cell function and its deficiency may lead to a hyperactive T cell
phenotype in SLE patients. Targeting SRSF1 and the genes controlled by
this molecule to correct the aberrant T