bluuebunny/crossref_metadata_2025 huggingface dataset:
EFICACIA DE DOS TIPOS DE RECOLECTA PARA REGISTRAR LA DIVERSIDAD DE MELOLÓNTIDOS NOCTURNOS (COLEOPTERA: SCARABAEOIDEA)
Authors: Méndez Aguilar María De Jesús , Castro Ramírez Adriana E. , Alvarado Barrantes Ricardo , Pacheco Flores Cutberto , Ramírez Salinas Concepción
Published: June 2022

Tradicionalmente se ha asumido que los melolóntidos nocturnos son atraídos por las luces, por lo que se ha registrado su diversidad a través de capturas por medio de fuentes luminosas, sin embargo, en recientes trabajos se ha demostrado que no todas las especies responden a ello. Con el propósito de identificar un método de recolecta de estos escarabajos más eficaz para registrar su diversidad, durante los meses de abril a junio de 2001 y 2002 se capturaron escarabajos en alumbrados públicos y en plantas hospederas, buscándolos con lámparas manuales, en tres parcelas agrícolas de San Cristóbal Las Casas, Chiapas. Los datos se analizaron por tipo de recolecta dentro de cada sitio (área agrícola por año) y de forma conjunta entre sitios y tipos de recolecta. La composición de especies por tipo de recolecta se analizó con la prueba Kruskal-Wallis. Se obtuvieron índices de Shannon-Winner y Bootstrap, y corrieron pruebas de Wilcoxon, Mann-Whitney y procedimiento de Hutcheson; además de una regresión logística para analizar el efecto del tipo de captura en la relación de hembras y machos. Se obtuvieron 11,091 ejemplares de 20 especies y siete morfoespecies, pertenecientes a 11 géneros. Las especies más abundantes fueron Phyllophaga obsoleta (51.6%), P. tumulosa (25%) y Anomala sticticoptera (10.4%). En los hospederos se capturaron 19 especies y en alumbrado se registraron 22 especies. En ambos tipos de captura se obtuvieron 14 especies de los géneros Phyllophaga, Diplotaxis, Hoplia, Anomala y Viridimicus. Sólo en las plantas hospederas se capturaron los géneros Orizabus, Strategus y Macrodactylus; y exclusivamente en alumbrado se encontraron Ancognatha, Cyclocephala y Xyloryctes. Únicamente en el sitio 1 la riqueza varió por tipo de recolecta, tanto dentro del sitio (Z = 3.86, P < 0.05) como considerando todas las observaciones (Z = 1.07, P = 0.285). La mayor abundancia se capturó sobre los hospederos (75.11 %). La diversidad (H’) fue de 1.44 en hospederos y de 1.19 en alumbrado, y difirió dentro del sitio 1 (t294= 31.70, P = 0.001). La relación hembras y machos de P. tumulosa (P < 0.01) y P. obsoleta (P < 0.001) difirió entre los tipos de recolecta; la primera aumenta un 75% en alumbrado, y la segunda varía según el sitio. La abundancia y riqueza de especies se complementan con los métodos de recolecta. La especie de importancia agrícola, Phyllophaga obsoleta, se recolectó con mayor abundancia sobre las plantas hospederas.
ESPECIES DE TRICHOGRAMMA WESTWOOD (HYMENOPTERA: TRICHOGRAMMATIDAE) PRESENTES EN CENTROS REPRODUCTORES DE MÉXICO
Authors: García González Fabián , González Hernández Alejandro , España Luna Martha Patricia
Published: June 2022

Se diagnosticaron 21 muestras de tricogramas de 18 centros reproductores ubicados en 13 estados de México para la determinación de las especies. Esta se realizó en base a claves taxonómicas considerando genitalia, antenas y alas posteriores de los machos. Las especies determinadas fueron, Trichogramma exiguum Pinto y Platner, T. fuentesi Torre, T. pintoi Voegelé y T. pretiosum Riley. Esta última especie se encontró en 17 de las 21 muestras, T. fuentesi Torre en cuatro, T. exiguum en dos y T. pintoi en una. Los resultados indican la predominancia de T. pretiosum en los centros reproductores de este parasitoide. Se presenta una diagnosis y una clave taxonómica para la determinación de las especies referidas. Se sugiere la revisión periódica de las especies de Trichogramma que se reproducen en los centros de organismos benéficos de México, relacionando este conocimiento con las plagas que parasitan.
HIMENÓPTEROS PARASITOIDES (CHALCIDOIDEA) DE COCCOIDEA (HOMOPTERA) EN CD. VICTORIA, TAMAULIPAS, MÉXICO
Authors: Gaona García Griselda , Ruíz Cancino Enrique , Myartseva Svetlana N. , Trjapitzin Vladimir A. , Coronado Blanco Juana María , Mora Olivo Arturo
Published: June 2022

Se realizaron colectas de Coccoidea en plantas ornamentales, frutales y en árboles de sombra en 25 localidades de Ciudad Victoria, Tamaulipas, México, desde abril de 1998 a septiembre del 2001, obteniéndose 32 especies de avispas parasíticas de las familias Aphelinidae, Encyrtidae, Eulophidae y Signiphoridae que emergieron de 24 especies de Coccoidea.
ARTIFICIAL INCUBATION OF THE HORNED GUAN OREOPHASIS DERBIANUS (AVES: CRACIDAE) EGGS
Authors: González-García Fernando , Porras Catalina , Vargas Juan Julián
Published: June 2022

La incubación artificial es una técnica favorable en los programas de reproducción de especies amenazadas o en peligro de extinción. Sin embargo, la implementación de un método para monitorear el proceso de incubación es de suma importancia. Los parámetros físicos importantes que influyen en el éxito de la eclosión del huevo y que requieren ser contralados son la temperatura y la humedad relativa de acuerdo a las condiciones de la región. Como una alternativa a la incubación natural del pavón (Oreophasis derbianus) utilizamos la técnica de incubación artificial por medio de incubadoras. Dos métodos fueron utilizados para monitorear el proceso de incubación de los huevos: pérdida de peso y densidad, considerando una pérdida final del 15 % del peso fresco de los huevos. La nidada fue de dos huevos, puestos a intervalos de dos días. En un período de 4 años (1997-2000) cinco hembras pusieron un total de 30 huevos, cuatro en 1997, seis en 1998, seis en 1999 y 14 en el año 2000; los huevos fueron puestos en los meses de marzo, abril, mayo y junio. Tres huevos fueron puestos desde la percha y se rompieron, los cuales no son considerados en los análisis. En promedio los huevos pesaron 161.04 ± 9.87 g (n = 24) y midieron 85.57 ± 3.16 mm x 57.52 ± 1.31 mm (n = 15). La densidad y volumen promedios de los huevos fueron 1.08 ± 0.036 g-cm3 y 142.40 ± 10.46 g-cm3 (n = 15), respectivamente. De 24 huevos, 15 huevos fueron fértiles (62.5 %), de los cuales lograron nacer siete polluelos, equivalente a un 46.6% de eclosión. El proceso de eclosión en dos huevos duró de 14 a 19 horas, respectivamente. Los huevos fueron incubados con parámetros de temperatura de 37.5°C y de 53-56 % de humedad relativa (28.8-30.1°C), con un periodo de incubación de 33 a 35 días. En ocho casos, los embriones alcanzaron desarrollo completo, pero probablemente debido a problemas en el control de la humedad la eclosión no fue exitosa. Para nuestro conocimiento, estos son los primeros datos publicados sobre los parámetros de incubación aritificial de huevos de pavón.
NUEVO REGISTRO DE CONEPATUS SEMISTRIATUS BODDAERT, 1784 (CARNIVORA: MUSTELIDAE) EN OAXACA, MÉXICO
Authors: Lira Torres Iván , Sánchez- Cordero Víctor
Published: June 2022

Oaxaca is one of the most biodiverse regions in México harboring a high number of mammals species. In spite of the large number of mammal inventories conducted in this State, there are still many unexplored areas. We collected a specimen of the skunk Conepatus semistriatus outside of its known distribution range, located at La Fortaleza, Municipio de Santa Maria, Chimalapa. This new record pinpoints the need for continuing conducting biological inventories in regions holding a high biodiversity.
Los tipos de Chalcididae, Euchritidae, Eurytomidae, Leucospidae, Tanaostigmatidae y Torymidae (Hymenoptera: Chalcidoidea) depositados en el museo de la Plata, Argentina
Authors: Loiácono M.S. , Margaría C.B. , Aquino D.A. , Gaddi A.L.
Published: June 2022

Se examinaron y listaron los 183 especímenes tipo de Chalcididae (1), Eucharitidae (3), Eurytomidae (127), Leucospidae (2), Tanaostigmatidae (41) y Torymidae (9) (Hymenoptera: Chalcidoidea) depositados en las colecciones de la División Entomología del Museo de La Plata. Para cada taxón se proporciona la información de etiqueta original y en algunos casos información actualizada acerca de los materiales tipo. Estos tipos pertenecen a 34 especies de Chalcidoidea descritas por Blanchard (1); Boucek (2); Boucek et Watsham (1); Brèthes (1); De Santis (9); De Santis et Diaz (1); De Santis et Fernandes (1); LaSalle (16); Mayr (1); Subba Rao (1).
Informaciones ecológicas sobre Coprophaneus (Coprophanaeus) Telamon nevinsoni Arnaud & Gamez (Coleoptera: Scarabaeinae: Phanaeini) en un sector de Selva Húmeda Submontana en Mérida, Venezuela
Authors: Gámez Jorge , Mora Enrique , Acconcia Raffaele
Published: June 2022

La subespecie Coprophanaeus (Coprophanaeus) telamon nevinsoni Arnaud & Gámez fue analizada tanto en selva como en una plantación mixta utilizándose necrotrampas para el estudio de la actividad anual, diaria y uso del espacio y cebos depositados artificialmente para observar cómo utiliza el recurso carroña. Fue recolectada durante todo el año concentrándose su mayor abundancia (86,63%) en los dos periodos de máxima precipitación. Utiliza indistintamente el ambiente selvático o agrícola en virtud de los corredores de vegetación existentes, sobre todo, los que disponen de elementos arbustivos o arbóreos. Presenta en los ambientes contrastantes evaluados actividad diaria bimodal circunscrita exclusivamente en el crepúsculo, con mayor amplitud temporal, dentro de la selva. Puede emplear el recurso carroña de diferentes tamaños, al contactar fragmentos, los individuos son capaces de realizar el empuje de alguno de ellos a cierta distancia del punto de agregación para luego enterrarlos en galerías de aprovisionamiento. En piezas grandes los escarabajos promueven el entierro parcial y trasladan porciones a cavidades y galerías. Ésta subespecie representa el coleóptero que ejerce mayor influencia en la utilización de la carroña en los ambientes estudiados. Es factible su extinción local debido a la acción antrópica fundamentalmente, por la eliminación de los relictos selváticos aún existentes.
Primer registro de Taxidea Taxus Berlandieri Baird, 1858 (Mammalia: Carnivora: Mustelidae) para el estado de Veracruz, México
Authors: González-Christen A. , González-Romero A. , Rodríguez-Colmenares J. S.
Published: June 2022

Examines the first record of the badger in the state of Veracruz in 1858 by Baird. The nearest known locality for this species outside of Veracruz is the state of Puebla, 80 kilometres in a straight line southwest. Standard and skull morphometric measures of the specimen are included, as well as data about the animal’s habitat. The badger is protected in Mexico as an endangered species under the NOM-059-SEMARNAT-2001.
New and explanation records to the brushfoots (Papilionoidea: Nymphalidae) from Guatemala
Authors: Salinas–Gutiérrez José Luis
Published: June 2022

I present two species and five subspecies as new records for Guatemala, as well as confirmed the presence of three subspecies. And I mention some issues about taxonomic and distributional information. Also, I mention the data of one Ithomiini (clearwings), and one Morphini (morphos), as probable subspecies with distribution in Guatemala.
Historic record of the Central American tapir Tapirus bairdii in the isthmus of Tehuantepec, Oaxaca, Mexico
Authors: Martín-Regalado Cintia Natalia , Lavariega Mario C. , Gómez Ugalde Rosa Ma.
Published: June 2022

This note reports a historic record of the Central American Tapir, Tapirus bairdii, for the Coastal Plain of the Isthmus of Tehuantepec in Oaxaca, Mexico. The record was dated to the decade of 1950, and was found 40 km from the closest historic locality. The presence of this species suggests two hypotheses: that the observed specimens belong to a previously existing population in this region, or that these specimens come from the Los Chimalapas region.
PATOGENICIDAD Y VIRULENCIA DE CEPAS DE BACILLUS THURINGIENSIS NATIVAS DEL ESTADO DE MORELOS SOBRE DIATRAEA MAGNIFACTELLA (LEPIDOPTERA: CRAMBIDAE)
Authors: Fonseca G. Alicia , Peña Ch. Guadalupe , Trejo L. Adriana G. , Lina G. Laura P. , Rodríguez B. Luis Á. , Hernández V. Víctor M.
Published: June 2022

La caña de azúcar representa uno de los cultivos industriales más importantes en México, diversos insectos se alimentan de ésta, provocando pérdidas económicas considerables. Para el estado de Morelos se reporta la presencia de los barrenadores Diatraea magnifactella y Eoreuma loftini. Para su control se han usado insecticidas químicos, a la fecha no existen bioinsecticidas a base de bacterias entomopatógenas. Existen reportes de evaluaciones in vitro y en campo contra otras especies de barrenadores, por lo que en el presente trabajo se aislaron cepas de Bacillus thuringiensis (Bt) a partir de cadáveres de D. magnifactella. Se evaluó la patogenicidad y virulencia de las cepas bacterianas sobre larvas neonatas del barrenador para lo cual se estableció un pie de cría de D. magnifactella en laboratorio, garantizando así la sanidad de las larvas usadas en los bioensayos. Se obtuvo un total de 118 cepas de B. thuringiensis. Los cuales se agruparon en tres categorías, dependiendo del peso molecular de las proteínas mayoritarias (perfil proteico) producidas por la bacteria. De los bioensayos de patogenicidad realizados, seis de las 118 cepas evaluadas fueron las que ocasionaron una mortalidad mayor al 50% en las larvas neonatas de D. magnifactella. Se determinó la Concentración Letal 50 de éstas seis cepas, la que presentó mejores resultados fue la cepa B148 con CL50 de 254.01 ng/cm2 de dieta, menor a la de la cepa comercial HD1 417.61 ng/cm2, evaluada como testigo positivo. Las cinco cepas restantes presentaron CL50 superiores a la de la cepa testigo.
PARASITOIDES DE ALEURODICUS SPP. (HEMIPTERA: ALEYRODIDAE) EN MÉXICO, CON LA DESCRIPCIÓN DE UNA NUEVA ESPECIE DE ENCARSIA (HYMENOPTERA: APHELINIDAE)
Authors: Myartseva S. N. , Ruíz-Cancino E. , Coronado-Blanco J. Ma. , Cambero-Campos J.
Published: June 2022

Se incluyen datos de los parasitoides asociados al género Aleurodicus en México (familias Aphelinidae, Eulophidae, Encyrtidae, Signiphoridae y Pteromalidae). Se reportan por primera vez los parasitoides de A. coccolobae Quaintance & Baker obtenidos en México. Se describe una nueva especie, Encarsia nayarita Myartseva n. sp., parasitoide de A. coccolobae y se elabora una clave para la separación de hembras del grupo noyesi del género Encarsia.
DIVERSIDAD DE MICROARTRÓPODOS (ÁCAROS Y COLÉMBOLOS) DE MUSGOS CORTICÍCOLAS EN LA SELVA BAJA DE NICOLÁS BRAVO, QUINTANA ROO.
Authors: Várguez-Noh Wendy P. , Cutz-Pool Leopoldo Q.
Published: June 2022

Se compara la diversidad de los microartrópodos (ácaros y colémbolos) en musgos corticícolas de una selva baja inundable de Nicolás Bravo, Quintana Roo, para las temporadas de secas, lluvias y nortes de 2011. Se registraron 28 familias de microartrópodos corticícolas, entre las cuales Galumnidae (52.36%), Isotomidae (10.45%) y Scheloribatidae (9.68%) fueron las más abundantes, representando el 72%, además que mostraron su máxima abundancia en la temporada de lluvias. Se determinó que hay una variación temporal en la densidad de microartrópodos (F (2,27) = 10.62, p<0.05); la mayor densidad se encontró en la temporada de lluvias. La mayor diversidad se registró entre la temporada de secas y nortes. La mayor similitud se observó entre las temporadas de lluvias y nortes (71.58%). Para las familias Isotomidae, Phytoseiidae, Trombididae, Scheloribatidae y Galumnidae se encontró una correlación positiva entre la humedad del musgo y las densidades, mientras que la densidad de Anystidae y Caeculidae mostraron una correlación negativa con la humedad del musgo.
PRESENCIA DEL OCELOTE (LEOPARDUS PARDALIS) EN LA SIERRA DEL LAUREL, MUNICIPIO DE CALVILLO, AGUASCALIENTES, MÉXICO
Authors: Valdez-Jiménez Daniela , García-Balderas Christian Martin , Quintero-Díaz Gustavo Ernesto
Published: June 2022

We report the first record of ocelot (Leopardus pardalis) for the Municipality of Calvillo, Aguascalientes, we obtaining a digital photograph by the method of camera traps. With this record the number of felids reported for the Sierra del Laurel rises from two to three.
Multicultural counseling: The strategy of social fasilitator of post-conflict education and psychosocial guidance in multicultural society
Authors: Widaningtyas Adoniati Meyria , Sutanti Natri
Published: June 2022

Unfortunately, multicultural problems manifested in patterns of thought, attitude, and behavior of intolerance are still seen in many societies over the past decade. It started to become common that certain groups attacked other ethnic and racial groups thereby causing conflict. This might be due to the handling of cases that are not ideal and appropriate, situations of intolerance, and social conflicts that have a wide impact, including causing psychological problems such as anxiety, hatred, violence, or depression. This study aimed to critically examine psychological coping strategies carried out in various countries to assist post-conflict victims with trauma, especially in multicultural societies. This study used an integrative review approach to analyze nine selected articles about psychological strategy and social education for post-conflict settings from 2010 to 2021 by reputable journals or publications. The results showed that the post-conflict victim handling strategy in various countries is carried out using psychosocial approaches and counseling/narrative therapy which are considered the most effective to help victims with trauma.  Multicultural skills are an important part of post-conflict psychological handling, and hence is recommended multicultural counseling as a post-conflict psychological treatment and social education model is widely applied by societies with a high level of diversity.
A Technology-Based Intervention to Help Health Care Provider Parents Manage Stress During the COVID-19 Pandemic: Findings From a Pilot Microrandomized Trial
Authors: Lee Sun-Kyung , Cai Qiyue , Basha Sydni , Gupta Aditi , Gewirtz Abigail
Published: June 2022

Background

The COVID-19 pandemic has increased the stress levels of parents, especially health care workers and other COVID-19 frontline workers. Nonetheless, little is known about stress management for this population.

Objective

This pilot study tested the impact of a mobile app apt.mind in reducing stress in health care provider parents by delivering a 30-day microrandomized intervention.

Methods

Participants included 102 parents who work in health care and their coparenting partners. They were given smartwatches and access to a mindfulness app. Each day, all parents were randomly assigned to (1) brief stress reduction messages, (2) meditation audio activities via the app, or (3) no intervention. Stress was evaluated using a self-reported COVID-19 Family Stressor Screener (10 items; 5-point Likert scale) to rate levels of stress regarding food security, job stability, family conflict, mental health, and social isolation. Dosage was measured by the percentage of parents who received any of the activities (app or messages; mean 66%, SD 9.8%), and parents were divided into 3 groups by dosage level: low (below 60%), middle (61%-70%), and high (above 71%).

Results

Using a pre-post test, this study assessed changes in mental health symptoms and parenting by individuals’ dosage levels. Participants who received high levels of intervention reported significant decreases in COVID-19–related family stress (t=–2.50; P=.02) and a significant increase in parenting efficacy (t=2.39; P=.03), while those who received low or middle levels of the intervention did not show those changes.

Conclusions

This study supports the feasibility and efficacy of technology-based tools to reduce stress and the need to examine just-in-time interventions. Future studies can improve by focusing on microchanges in the parents’ stress level on a daily basis and including physiological data such as heart rate variability to include objective stress data.

Conflicts of Interest

None declared.
A Study of the Impact of Multiple drilling parameters on Surface Roughness, Tool wear and Material Removal Rate while Drilling Al6063 applying Taguchi Technique
Authors: Khan Md Shahrukh , Alam Dr. Shahnawaz
Published: June 2022

The goal of this project is to see how different drilling parameters like spindle speed (600, 900, 1400 revolution per minute), feed rate (0.10, 0.16, 0.22 mm per revolution) and drill tool diameter (6, 8 mm) affect surface roughness, material removal rate and tool wear while drilling Al 6063 alloy with an HSS spiral drill using Taguchi method. The impact of different drilling settings on the accuracy of the drilled hole is analyzed using S/N (signal-to-noise) ratio, orthogonal arrays of Taguchi, regression analysis, and analysis of variance (ANOVA). CNC Lathe Machineis used to perform a number of experiments with the help of L18 orthogonal arrays of Taguchi. MINITAB 19, a commercial software tool, is used to collect and evaluate the results of the experiments. For establishing a correlation between the selected input parameters and the quality aspects of the holes made, linear regression equations are used. The experimental data are compared to the expected values, which are quite similar.
Distributed Generation Photovoltaic System Based on Fuzzy Logic
Authors: Makde Mr Harshal
Published: June 2022

Abstract: Most of the Developing Countries in the world have facing the demand of unavoidable power demand. Due to this high demand, we facing the high-power losses and increase of the transmission lines. In our India we are totally based on the thermal & nuclear power plant and it’s also going to end in few Years. The continues power demand can cause reduction of the voltage levels and affect the system stability, that causes the failure in power system Network and make the transmission line in the stressed condition. In the current situation we going towards the renewable energy, and it’s gaining the attention around the globe. The renewable energy matches the load demand and full-fill it according to the load demand. To step in renewable energy, we have to study it carefully to avoid any unwanted issues occurs in the system and do not make it unstable. The main issue that faces by the consumers is, the solar system gets off during the main supply failure and the total load shifted on the Diesel generator. Due to this Diesel generator get more consumption of diesel and get heavily loaded. To avoid this Heavy load on Diesel Generator we have to use the solar plant during off-grid conditions with the help of smart synchronization between the photovoltaic system and Diesel Generator. Thus, the result of smart synchronization of Photovoltaic system and diesel generation, we get the less load on Diesel generator as compare to the photovoltaic system.
Voice Assistant with Home Automation
Authors: Kumar Abhishek
Published: June 2022

Abstract: As we know Python is an emerging language so it becomes easy to write a script for Voice Assistant in Python. The instructions for the assistant can be handled as per the requirement of user. Speech recognition is the process of converting speech into text. This is commonly used in voice assistants like Alexa, Siri, etc. In Python there is an API called SpeechRecognition which allows us to convert speech into text. It was an interesting task to make my own assistant. It became easier to send emails without typing any word, Searching on Google without opening the browser, and performing manyother daily tasks like playing music, opening your favorite IDE with the help of a single voice command. In the current scenario, advancement in technologies are such that they can perform any task with same effectiveness or can say more effectively than us. By making this project, I realized that the concept of AI in every field is decreasing human effort and saving time.
Dam Water Level Monitoring and Alerting System using IOT with Neural Network
Authors: Deshpan Rohit de
Published: June 2022

Abstract: Water assumes a significant part in our everyday life in different fields. Acquaintance of new strategies with tackle the water related issues incorporates versatile administration, remote detecting with the new ideas like water security, worldwide coordination of data, and so on as of late, we can see an expanding measure of dam harm or disappointment because of maturing, quakes event and strange changes in climate. Thus, dam security is acquiring significance than at any other time as far as calamity the executives at a public level. In this way, the public authority is attempting to concoct a variety of lawful activities to get reliable dam security. Other dam the board associations are additionally taking different institutional and specialized measures for a similar reason. With regards to dam wellbeing issues, there is not really a bunch of rules for how and when water can be delivered and what should be the standard working strategy on the off chance that unexpected delivery is required. This venture proposes an IOT based dam the board framework. In this, four ultrasonic sensors in particular, temperature sensor, water level sensor and Humidity sensor are utilized to screen the condition of dam. The Node MCU is used to interface with all of the sensors and transfer data to the cloud. A servo engine is used to control the kick-off of dam entryways using AI calculations. The fundamental goal of a flood is for waterways, lakes, or heavy rains to flood. The flood might occur at any time and in any year. Flooding poses a significant threat to living things. As a result of the flood, countless people have lost their homes and ranches, forcing them to deal with a slew of problems.
Stock Market Prediction Using LSTM Technique
Authors: Talati Drashti , Patel Dr. Miral , Patel Prof. Bhargesh
Published: June 2022

Abstract: One of the most intricate machine learning problems is the share value prediction. Stock market prediction is an activity in which investors need fast and accurate information to make effective decisions. Moreover, the behavior of stock prices is uncertain and hard to predict. For these reasons, stock price prediction is an important process and a challenging one. This leads to the research of finding the most effective prediction model that generates the most accurate prediction with the lowest error percentage. Prices of stocks are depicted by time series data and neural networks are trained to learn the patterns from trends in the existing data. This system employed algorithm using LSTM to improve the accuracy of stock price prediction.
Student Performance Prediction using AI and ML
Authors: Karale Dr. Ankita , Narlawar Ayushi , Bhujba Bhushan , Bharit Sakshi
Published: June 2022

Abstract: As we all know that due to this pandemic situation many problems had been faced in the education stream. As we saw that the most of the students got good marks and on the other hand most students got lesser or average marks. In Critical case the good students got average marks or lesser then there expectations. As a result, all students got the admission but if the person is not that capable but taking admission to that college due to good result .So it seems unfair so to resolve this loophole, we decided to build a software for student performance prediction. It is an important desire in most of the educational departments and institutes to predict the student’s performance. Machine Learning algorithm and descriptive datasets include school, Sex, Age, Address, Family size, P status, M education, F education, M job, F job, Reason, Guardians, Travel time, Study time, Failures, School sup, Family sup, Activities, Free time, Go out, Health, attendance. We have been considered that the prediction and classification of student performance respectively using three type of machine learning algorithms such as Random Forest, ANN, XG Boost are implemented to predict the student’s academic performance. The prediction based models are created to predict academic outcomes of student performance at the end of the year each. The analysis of demographical attributes release that they are also potential indicators of a student's academic success or failure. The results of these case study gives techniques for accurately predicting student performance, and compare the accuracy with MI algorithms Index Terms- ML and AI, ANN, Random Forest, XG Boost prediction model. Index Terms- ML and AI, ANN, Random Forest, XG Boost prediction model. Keywords: Machine Learning, XG-BOOST, Random ForestAlgorithm , Artificial Neural Network, Social Media Post.
Prediction of House Prices Using Machine Learning
Authors: Mysore Sumanth
Published: June 2022

Abstract: Economy of the country is greatly driven by the prices of houses in that country. Both buyers and sellers depend on the pricing strategies. Ask an emptor to explain the factors they think are considered for pricing the house at that price and that they probably start with railways and end with various attributes. Over here it proves that more factors will be applied on the pricing strategies of the house. The aim of the project is to predict the house prices with various regression models. Nowadays Machine Learning is a booming technology. Data is the heart of Machine Learning. AI and Machine Learning holds the key position in the technological market. All industries are moving towards automation. So we have considered ML as a main predicting subject in our project and worked using it. These days everything fluctuates. Starting with crypto and various business models varies day by day which includes real estate as well so in this project house prediction depends on real estate data and ML techniques. Many people want to buy a good house within the budget. But the disadvantage is that the present system doesn’t calculate the house predictions so well and end up in loss of money. So, the goal of our project is to reduce money loss and buy good house. Many factors are there to be considered in order to predict the house price which includes budget factors and fewer house modifications according to the buyer. So, we are considering all of those factors and predicted using various machine learning techniques like SVR, KNN, SGB regression, CatBoost regression, Random forest regression
Audio Enhancement and Denoising using Online Non-Negative Matrix Factorization and Deep Learning
Authors: Yashwanth A
Published: June 2022

Abstract: For many years, reducing noise in a noisy speech recording has been a difficult task with numerous applications. This gives scope to use better techniques to enhance the audio and speech and to reduce the noise in the audio. One such technique is Online Non-Negative Matrix Factorization (ONMF). ONMF noise reduction approach primarily generates a noiseless audio signal from an audio sample that has been contaminated by additive noise. Previously many approaches were based on nonnegative matrix factorization to spectrogram measurements. Non-negative Matrix Factorization (NMF) is a standard tool for audio source separation. One major disadvantage of applying NMF on datasets that are large is the time complexity. In this work, we proposed using Online Non-Negative Matrix Factorization. The data can be taken as any speech or music. This method uses less memory than regular non-negative matrix factorization, and it could be used for real-time denoising. This ONMF algorithm is more efficient in memory and time complexity for updates in the dictionary. We have shown that the ONMF method is faster and more efficient for small audio signals on audio simulations. We also implemented this using the Deep Learning approach for comparative study with the Online Non-Negative Matrix Factorization.
Sky Bus
Authors: Sayyad Ms. Shafee Vunnisa
Published: June 2022

Abstract: Because the driverless bus concept incorporates automated and control technology, it must be implemented with caution to avoid mishaps. Many advanced countries across the world have installed automated Sky bus systems to transport passengers from the airport to the central city; for this purpose, dedicated tracks called sky bus tracks or metro lines are laid above busy roads. In order to investigate the technology of automated sky bus systems and demonstrate the concept in practise, we chose to build a simple driverless sky bus module that operates between the two reference sites.The major goal of this project is to run the bus without a human driver, control the door automatically, and stop the bus automatically at stations, using limit switches and magnetic switches to generate interrupt signals.
Experimental Work on Solar Powered Portable Refrigeration System for Rural Areas
Authors: Taywade Priti , Wadaskar Prof. Narendra
Published: June 2022

Abstract: The increase in demand for refrigeration globally in the field of air-conditioning, food preservation, medical services, vaccine storages, and for electronic components temperature control led to the production of more electricity and consequently an increase in the CO2 concentration in the atmosphere which in turn leads to global warming and many climatic changes. Thermoelectric refrigeration is a new alternative because it can reduce the use of electricity to produce cooling effect and also meet today’s energy challenges. Therefore, the need for thermoelectric refrigeration in developing countries is very high where long life and low maintenance are needed. The objectives of this study is to develop a working thermoelectric refrigerator to cool a volume 5L cabin that utilizes the Peltier effect to cool and maintain a selected temperature range of 5 0C to 25 0C. The cooling chamber design integrates thermoelectric modules (TEMs), which operate on the Peltier effect to cool juicer down to nearly 18’C. Solar panel added advantage to provide the energy. The design and fabrication of solar powered thermoelectric refrigerator for required applications are presented.
Text Similarity Using Siamese Networks and Transformers
Authors: Chikoti Bharath Chandra
Published: June 2022

Abstract-- In result-oriented conversational models like message renders and chatbots, finding the similarity between the input and output text result is a big task. In general, the conversational model developers lean to provide a minimal number of utterances per instance, and this makes the classification a difficult task. This problem becomes more difficult when the length of the processed text per action is short and length of the user input is long. Identical sentence pair detection reduces manual effort for users with high reputation. Siamese networks have been one of the best innovative architectures designed in the field of natural language processing. A Siamese network was initially designed for computer vision applications. Later the core concept of this algorithm was designed for NLP ,to identify similarity for two given sentences. Siamese networks are used in this algorithm. It's an artificial neural network also known as a twin neural network that works in tandem on two independent input vectors to calculate equivalent output vectors using the same weights. Also there are few commonly addressed drawbacks like word sense disambiguation and memory intolerance of initial inputs for sentences having more than 15-20 words. To tackle these issues, we propose a modified algorithm that integrates the transformer model implicitly with the core part of the siamese network. Transformer model helps to generate each output position based on the semantic analysis of overall sentence and can also deal with homonyms, by extracting its meaning based, which is syntactic based and semantic based on the overall sentence or paragraph or text.
Critical Analysis of role of Ranjak Pitta and Raktagni in Perspective of Modern Physiology
Authors: Dr. Pradnya Deepak Dandekar
Published: June 2022

Pitta dosh is one of the fundamental entities mentioned in Ayurveda. Ranjak pitta is one of the types. Ranjak name of pitta itself suggests its role. Rasasya ranjant is it’s function mentioned in compendia. It means coloring of rasa dhatu and converting it into raktadhatu which is of red color. All Acharyas Charak, Sushrut, Vagbhat, Sharangdhar all have mentioned the same function of this pitta. In spite of this, there is some discrimination related to the site of this pitta. Charak and Sushrut have mentioned the site of this in Yakrit, Pleeha and Vagbhat has mentioned it in Amashay. Sushrut has mentioned this Ranjak Pitta as Ranjakagni. In the context of Agni, total 13 types of Agni are mentioned which includes Raktagni. Raktagni is responsible for formation of Rakta and the role of Ranjakagni is colouring of ahara rasa. To know if these are same or different, the present review is made andwith the overview of modern physiology it can be concluded that agni and pitta have Ashray and Ashrayi relation. The discrimination relates to different sites of Ranjak Pitta and can be justified according to modern physiology. Ranjak Pitta mentioned by Vagbhat can correlate with the factor secreted by gastric glands which is called intrinsic factor of castle and Ranjak Pitta mentioned by Charak and Sushrut is extrinsic factor which is stored in Yakrit and participated in process of erythropoiesis. These intrinsic and extrinsic factors are equally important for RBCs formation which carries out the function of Rasasya Ranjanam. Raktagni is responsible for formation of Rakta Dhatu from Ahararasa and Ranjak Pitta or Ranjakagni is partially part of Raktagni.
Challenges and Perspectives on Plasmid Curing, Medicinal and Pharmacological Traits of Plumbago Zeylanica (Chitraka): A Review
Authors: Rajashree B. Patwardhan
Published: June 2022

From ancient times of vedas, charaksamhita and sushrutsamhita, to modern day developments and research in medicine, the medicinal importance  of Chitraka (Plumbago zeylanica) as a wonderful Indian remedy has been upheld through the test of time.  Chitraka is used in ayurveda for  relief  from  many  ailments,  especially  digestive  disorders,  bronchitis,  diseases  of  liver,  leucoderma,  inflammation,  piles,  itching,  laryngitis, rheumatism,  diseases  of spleen,  many skin disorders  etc. The root extracts  of P. zeylanica  have been incorporated  in various  Indian  indigenous ayurvedic drug formulations.  This paper reviews various aspects of Chitraka like different pharmacological  activities, medicinal properties including wound  healing,  antioxidant,  antiulcer,  anticancer,  leishmanicidal,  antifertility,  antimalarial,  antidiabetic,  hypolipidemic,  trypanocidal,  antibacterial, antifungal,  antiviral,  anti-inflammatory,  antimutagenic,  anti-allergic,  larvicidal,  insecticidal  and  anxiolytic  activities.  P.  zeylanica  plant  contains naphthoquinones,  flavonoids,  terpenes,  alkaloids,  glycosides,  steroids,  triterpenoids,  tannins,  phenolic  compounds,  glucopyranoside,  sitosterol saponins,  coumarins,  carbohydrates,  fixed oils, fats and proteins  having a wide variety  of bioactivities.  The important  compound  responsible  for bioactivity  is  plumbagin  which  is  chemically  5-hydroxy-2-methyl-1,4-naphthoquinone. Studies  of  P.  zeylanica  roots  resulted  in  identification  of plumbagin  and lawsone as an active principle exhibiting the plasmid elimination  activity. Due to the toxicity of chemical curing agents like acridine orange or ethidium bromide, there is a constant need of developing novel curing agents which are more effective and at the same time their non- toxic nature.  Bacterial strains resistant to multiple antibiotics have emerged to which the invention of new antibiotics  has failed to match up. The effects  of antibiotic  resistance  are serious  with mortality  and morbidity  constantly  on the rise.   Therefore  P. zeylanica  root extracts  containing lawsone  and  plumbagin  would  have  great  potential  as  drugs  of  choice  in  the  treatment  of  antibiotic  resistant  bacterial strains. The  already ineffective  antibiotic therapy can be made effective  by converting  antibiotic resistant bacteria into sensitive ones. The present review for the first time depicts  the use of P. zeylanica  as antimicrobial  and plasmid  curing  agent  in medicinal  formulations  and it is a novel  approach  towards  the spread of antibiotic resistance especially in the hospital environment.
A Synergism of Eco-Friendly Dyeing of Cotton Fabric and Therapeutic Benefits of Bixa Orellana Seed
Authors: Kannam Marikani  , Abirami Sasi  , Venkatesan Srinivasan  , Sugapriya Dhanasekaran  , Noura Al-Dayan  , Divya Venugopal
Published: June 2022

Background  and  objectives:  The  present  research  is  aimed  to  study  the  eco-friendly  nature  and  therapeutic application of the natural dye from the seed extract of Bixa orellana for maximizing the benefits of cotton fabric. Materials and methods: A natural dye was extracted from Bixa orellana seeds by hot water and ethanolic extraction method. This dye was examined  for its ability with  pre-mordanting  and post-mordanting  of cotton  fabrics  with ferrous  sulphate,   hydrated  double sulphate    and    tamarind  seed  powder  in  order  to  improve  the  aesthetics    and  natural  color  shades  on  cotton  fabrics. Furthermore, the dyed cotton fabric was used to analyze the antibacterial efficacy of cotton fabric against bacterial culture such as Bacillus cereus, Escherichia coli, Proteus mirabilis, Salmonella typhi and Klebsiella pneumoniae. Results: Our results suggest that pre- mordanting of cotton fabric with ferrous sulphate, alum and tamarind seed shows good dye fixation rate and stronger color than post-mordanting. Dyeing of cotton fabric with the ethanol extract of Bixa orellana seeds gave excellent and beautiful shades than the ones extracted with hot water. Furthermore, cotton fabric dyed with ethanol extracted was found significantly active against human pathogens compared to cloth dyed with hot water extract. The results evidenced that cotton knitted fabrics showed an increase in dye uptake with natural mordant and strength with a considerable  reduction in antimicrobial activity. Conclusion: This research  adumbrated  developing  a greener  technology  to cabalistic  use of Bixa orellana seed extract  applied on cotton cloths for coloring and in future find commercial use as a functional finishing agent (for newborns, clothing for burns, injured soldiers and hospitals) for health protection with semi-durable therapeutic properties.
SWARM OPTIMIZATION ALGORITHM BASED ON THE ANT COLONY LIFE CYCLE
Authors: Kiatwuthiamorn Jiraporn , Thammano Arit
Published: June 2022

Optimization is very important to the success of any business. One technique for solving optimization is swarm intelligence; it has been successfully applied to solve a wide range of optimization problems. We devised a new swarm intelligence optimization algorithm based on the cooperative behavior of three different kinds of ants in a colony. Our algorithm consists of both exploration and exploitation processes to achieve better search performance. A new local search, inspired by the foraging of desert ants, was introduced to help the search move away from the local optima. Performance was evaluated on 23 standard benchmark functions of varying complexity. Our algorithm was able to find the global optima in more than 80 percent of the test functions, whereas the second-place algorithm only found around 10 percent of the functions tested.
A COMPACT OPTIMAL LEARNING MACHINE
Authors: Sae-pae Kanathip , Woraratpanya Kuntpong
Published: June 2022

Artificial neural networks (ANNs) have been developed and applied to a variety of problems, such as pattern recognition, clustering, function approximation, forecasting, optimization, etc. However, existing ANNs have a high computational cost, since their learning methods are mostly based on a parameter tuning approach. Extreme learning machine (ELM) is a state-of-the-art method that generally dramatically reduces the computational cost. An analysis of the ELM method reveals that there are unsolved key factors, including inefficient hidden node construction, redundant hidden nodes, and unstable results. Therefore, we describe a new learning machine based on analytical incremental learning (AIL) in conjunction with principal component analysis (PCA). This learning machine, PCA-AIL, inherited the advantages from the original one and solved the unsolved key factors of ELM, and also extended AIL capability to serve a multiple-output structure. PCA-AIL was implemented with a single-layer feed-forward neural network architecture, used an adaptive weight determination technique to achieve a compact optimal structure and also used objective relations to support multiple output regression tasks. PCA-AIL has two steps: objective relation estimation and multiple optimal hidden node constructions. In the first step, PCA estimated the objective relations from multiple-output residual errors. In the second step, the multiple optimal nodes were obtained from objective relations and added to the model. PCA-AIL was tested with 16 multiple-objective regression datasets. PCA-AIL mostly outperformed other methods (ELM, EM-ELM, CP-ELM, DP-ELM, PCA-ELM, EI-ELM) in terms of fast testing speed – 0.0017 second, a compact model – 19.9 nodes, an accurate performance – RMSE 0.11261, and a stable result – S.D. of RMSE 0.00911: reported in averaged.
AN INTEGRATED THREE-FLOW APPROACH FOR FRONT-END SERVICE COMPOSITION
Authors: Lim Mei Ting , Su Moon Ting
Published: June 2022

End-User Service Composition (EUSC) aims to enable end-user programmers who are not professional developers develop applications by composing or aggregating existing web services. Despite the effort, studies have shown that, end-user programmers are not able to deal with the technical complexities involved in EUSC. One way to deal with this issue is Front-End Service Composition (FESC), which allows end-user programmers to compose web services at the presentation layer of an application by configuring user interface (UI) widgets that represent the back-end web services. However, there are not many studies on FESC and the existing ones suffer two main problems, namely, lack of control flow and/or application flow visualization, and they still require end-user programmers to have certain technical knowledge in the service composition process that these end-user programmers generally do not possess. Following that, this study proposes an integrated three-flow approach (application flow, control flow and data flow) to deal with the current limitations of FESC. The approach generates the GUI of web services automatically, thus allowing the UI of the application to be developed at the same time the required web services are assembled. The approach allows end-user programmers to explicitly configure the three different types of flows involved in service composition. A proof-of-concept prototype, QuickWSC, that incorporates the three-flow approach was developed. It adopts a side-by-side multiple-view design to support visual configuration of the three flows in an uncluttered yet synchronized manner that adhered to established design guidelines. A user evaluation study was conducted on QuickWSC. The results show that it is easy to compose web services by explicitly specifying the three flows, that the configurations of the three flows integrated in the two views helps in composing application from web services, and that no technical knowledge is required to use QuickWSC