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El trabajo fue realizado por Edgar Alexander Campo el 11 de marzo.
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Catedral
El documento presentado por Edgar Alexander Campo el 11 de marzo trata sobre un tema no especificado. En 3 oraciones o menos, no se proporciona información suficiente sobre el contenido o propósito del documento para generar un resumen significativo. Se requiere más contexto y detalles sobre el tema tratado.
Torre Del Reloj
El documento presentado por Edgar Alexander Campo el 11 de marzo trata sobre un tema no especificado. En 3 oraciones o menos, no se proporciona información suficiente sobre el contenido o propósito del documento para generar un resumen significativo.
Review on Clustering and Data Aggregation in Wireless Sensor Network
This document provides a review of clustering and data aggregation techniques in wireless sensor networks. It begins with an introduction to wireless sensor networks and their characteristics. It then discusses clustering, which involves grouping sensor nodes into clusters headed by cluster heads. Different clustering models are described, including hierarchical clustering. The document also reviews data aggregation techniques, which aim to reduce data redundancy and save energy. It outlines common data aggregation protocols for flat and hierarchical network architectures, such as cluster-based, chain-based, tree-based and grid-based approaches. Finally, it summarizes key clustering routing protocols and data aggregation algorithms.
Diana
El documento describe las etapas del procesamiento de información en una computadora, incluyendo la digitación de texto en Word 2007, la impresión de texto, el encendido del equipo, la carga del sistema operativo Windows y una secuencia binaria.
Agent based P ersonalized e - Catalog S ervice S ystem
With the emergence of the e
-
Catalog, there has been an increasingly wide application of commodities query in distribut
ed
environment in the field of e
-
commerce. But e
-
Catalog is often autonomous and heterogeneous, effectively integrating and querying
them is a delicate and time
-
consuming task. Electronic catalog contains rich semantics associated with products, and serves
as a
challenging domain for ontology application. Ontology is concerned with the nature and relations of being. It can play a cruc
ial role
in e
-
commerce as a formalization of e
-
Catalog. User personalized catalog ontology aims at capturing the users' inter
ests in a working
domain, which forms the basis of providing personalized e
-
Catalog services.
This paper describes a prototype of an ontology
-
based
Information retrieval agent.
User personalized catalog ontology aims at capturing the users' interests in a
working domain, which
forms the basis of providing personalized e
-
Catalog services.
In this paper, we present an ontological model of e
-
Catalogs, and design
an Agent based personalized e
-
Catalog service system (ABPECSS), which achieves match user personal
ized catalog ontology and
domain e
-
Catalog ontology based on ontology integrated
A Dependent Set Based Approach for Large Graph Analysis
Now a day’s social or computer networks produced graphs of thousands of nodes & millions of edges. Such Large graphs
are used to store and represent information. As it is a complex data structure it requires extra processing. Partitioning or clustering
methods are used to decompose a large graph. In this paper dependent set based graph partitioning approach is proposed which
decomposes a large graph into sub graphs. It creates uniform partitions with very few edge cuts. It also prevents the loss of
information. The work also focuses on an approach that handles dynamic updation in a large graph and represents a large graph in
abstract form.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data, incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Recomendados
Catedral
El documento presentado por Edgar Alexander Campo el 11 de marzo trata sobre un tema no especificado. En 3 oraciones o menos, no se proporciona información suficiente sobre el contenido o propósito del documento para generar un resumen significativo. Se requiere más contexto y detalles sobre el tema tratado.
Torre Del Reloj
El documento presentado por Edgar Alexander Campo el 11 de marzo trata sobre un tema no especificado. En 3 oraciones o menos, no se proporciona información suficiente sobre el contenido o propósito del documento para generar un resumen significativo.
Review on Clustering and Data Aggregation in Wireless Sensor Network
This document provides a review of clustering and data aggregation techniques in wireless sensor networks. It begins with an introduction to wireless sensor networks and their characteristics. It then discusses clustering, which involves grouping sensor nodes into clusters headed by cluster heads. Different clustering models are described, including hierarchical clustering. The document also reviews data aggregation techniques, which aim to reduce data redundancy and save energy. It outlines common data aggregation protocols for flat and hierarchical network architectures, such as cluster-based, chain-based, tree-based and grid-based approaches. Finally, it summarizes key clustering routing protocols and data aggregation algorithms.
Diana
El documento describe las etapas del procesamiento de información en una computadora, incluyendo la digitación de texto en Word 2007, la impresión de texto, el encendido del equipo, la carga del sistema operativo Windows y una secuencia binaria.
Agent based P ersonalized e - Catalog S ervice S ystem
With the emergence of the e
-
Catalog, there has been an increasingly wide application of commodities query in distribut
ed
environment in the field of e
-
commerce. But e
-
Catalog is often autonomous and heterogeneous, effectively integrating and querying
them is a delicate and time
-
consuming task. Electronic catalog contains rich semantics associated with products, and serves
as a
challenging domain for ontology application. Ontology is concerned with the nature and relations of being. It can play a cruc
ial role
in e
-
commerce as a formalization of e
-
Catalog. User personalized catalog ontology aims at capturing the users' inter
ests in a working
domain, which forms the basis of providing personalized e
-
Catalog services.
This paper describes a prototype of an ontology
-
based
Information retrieval agent.
User personalized catalog ontology aims at capturing the users' interests in a
working domain, which
forms the basis of providing personalized e
-
Catalog services.
In this paper, we present an ontological model of e
-
Catalogs, and design
an Agent based personalized e
-
Catalog service system (ABPECSS), which achieves match user personal
ized catalog ontology and
domain e
-
Catalog ontology based on ontology integrated
A Dependent Set Based Approach for Large Graph Analysis
Now a day’s social or computer networks produced graphs of thousands of nodes & millions of edges. Such Large graphs
are used to store and represent information. As it is a complex data structure it requires extra processing. Partitioning or clustering
methods are used to decompose a large graph. In this paper dependent set based graph partitioning approach is proposed which
decomposes a large graph into sub graphs. It creates uniform partitions with very few edge cuts. It also prevents the loss of
information. The work also focuses on an approach that handles dynamic updation in a large graph and represents a large graph in
abstract form.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data, incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Ijcatr04061008
Nigeria is an oil producing nation which have been relying heavily on oil revenue for its economic well being. Oil depletes and its price can crash making dependence on oil as a mono means for the country’s future futile. Information and communication technology (ICT) on the other hand has impacted the economic growth of various nations such as India. ICT seems to be a key factor in stimulating the development of a country’s productivity across most sectors of the economy and ensuring global competiveness and a move to a New Economy. This Paper examines if a causal relationship exists between ICT and economic wellbeing (GCI) and if ICT can offer a way forward for Nigeria to move from oil based to service and product based economy. The paper also conducts an empirical analysis to find out if oil producing nations experience better growth against ICT innovative nations using 10 countries. The results of the analysis support the believe that ICT led development and of the existence of a causal link between ICT and economic growth and non-existence of a causal link between oil production alone and economic development.
Location Based Tracking System for Emergency Services
This document describes a location-based tracking system that uses SMS and GPS to minimize the number of SMS transmissions while maintaining location tracking accuracy. It proposes a method called Location-Based Delivery (LBD) that combines SMS and GPS. LBD uses location prediction based on speed and bearing to estimate future location, and only sends SMS updates if the actual location differs from the predicted location by more than a dynamic threshold. This threshold is adjusted based on speed to maintain accuracy while reducing SMS messages. Simulations show LBD significantly lowers SMS transmissions compared to other methods while keeping location accuracy within acceptable ranges.
Study of Different Multi-instance Learning kNN Algorithms
Because of it is applicability in various field, multi-instance learning or multi-instance problem becoming more popular in
machine learning research field. Different from supervised learning, multi-instance learning related to the problem of classifying an
unknown bag into positive or negative label such that labels of instances of bags are ambiguous. This paper uses and study three
different k-nearest neighbor algorithm namely Bayesian -kNN, citation -kNN and Bayesian Citation -kNN algorithm for solving multiinstance
problem. Similarity between two bags is measured using Hausdroff distance. To overcome the problem of false positive
instances constructive covering algorithm used. Also the problem definition, learning algorithm and experimental data sets related to
multi-instance learning framework are briefly reviewed in this paper
Flier
This document advertises unique ladies t-shirts from Tall Boy Tees, an online retailer offering alternatives to expensive MLS gear. Their 100% cotton screen-printed tees for women can be ordered from their website, and customers with questions should email the company located in Sugar Land, Texas.
Illumination Invariant Face Recognition System using Local Directional Patter...
The document proposes an illumination-robust face recognition system using local directional pattern (LDP) images and two-dimensional principal component analysis (2D-PCA). It extracts LDP images from face images as inputs to 2D-PCA for feature extraction, instead of using LDP for histogram feature extraction like previous works. Experimental results on the Yale B and CMU-PIE databases show the proposed approach achieves higher recognition accuracy than PCA and LBP-based methods, demonstrating its effectiveness in handling illumination variations. The maximum recognition rates are 96.43% for Yale B and 100% for CMU-PIE illumination sets.
Los Nunca Mas 3
Este documento contiene varias citas bíblicas que desalientan la confesión de debilidad, cansancio, falta de inteligencia u otras limitaciones. Las citas indican que Dios ofrece fuerza, sabiduría y victoria sobre Satanás a aquellos que confían en él.
Efficient growth techniques and properties of Benzophenone Single Crystals fo...
Benzophenone is one of the promising organic NLO materials for their high energy laser photonic
applications and hence this review is mainly emphasized on the discussion of growth, efficiency and
applications of low melting organic NLO benzophenone crystals in order to improve their structural and
physical properties. To grow bulk and good quality benzophenone crystals by various techniques adopted has
been discussed such as slow evaporation method, Microtube-Czochralski method, and Vertical Bridgman
method. It is acknowledged that the size and the efficiency of the growing benzophenone single crystal varies
with that of the techniques we are using has been discussed below. The SHG efficiency of pure benzophenone
crystal also been compared with the standard KDP crystal. Also optical transparency behaviour of the
benzophenone crystal has also been reviewed.
Visual Image Quality Assessment Technique using FSIM
The goal of quality assessment (QA) research is to design algorithms that can automatically
assess the quality of images in a perceptually consistent manner. Image QA algorithms generally
interpret image quality as fidelity or similarity with a “reference” or “perfect” image in some perceptual
space. In order to improve the assessment accuracy of white noise, Gauss blur, JPEG2000 compression
and other distorted images, this paper puts forward an image quality assessment method based on phase
congruency and gradient magnitude. The experimental results show that the image quality assessment
method has a higher accuracy than traditional method and it can accurately reflect the image visual
perception of the human eye. In this paper, we propose an image information measure that quantifies the
information that is present in the reference image and how much of this reference information can be
extracted from the distorted image.
A Novel DBSCAN Approach to Identify Microcalcifications in Cancer Images with...
Cancer is the most deadly disease among the human life. Breast Cancer is one of the most common cancers in this
industrialized world and it is the most common cause of cancer related death among worldwide. Many segmentation
technologies and clustering technologies like K-Means, K-Mediod, CLARANS etc have been proposed to identify the
microcalcifications but this paper presents our new approach of identification of cancer cells in the images containing with
noise and the performance analysis
Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...
Health care information systems are aimed at facilitating the smooth running and interoperability of the health care
delivery processes to ensure efficiency and effectiveness; however, the complexity, heterogeneity and diversity of the health care
sector especially in Kenya poses serious challenges especially in relation to integration of the systems. There is a large disconnect
between the public and private health care delivery systems characterized by fragmentation of services, locally within hospitals
(among primary, secondary and tertiary health care settings) and across different health care centers. This research is aimed at
examining the adoption of integrated healthcare information system in Nairobi County; Kenyatta National Hospital represents the
public sector and The Mater Hospital the private sector. A sample size of 100 users on information system from the two hospitals
picked from the primary secondary and tertiary levels were selected and questionnaires administered to them. Data was analyzed
through descriptive statistics with the aid of SPSS. The results of the study indicated that there was a huge disparity between
healthcare information system adoption in the public and private sectors with the private sector’s adoption being at an advanced
stage. The major barriers to adoption including social political barriers, financial constraints and technical/technological barriers
also presented.
Development of Web-based Job Fair Information System
The development of information technology should be ordered to improve the services including job fair information system
services. This work aimed to develop of web-based job fair information system. The methods used in this work consists of collecting
data method, and software development method. Collecting data method using observations, interview, and literature study. Software
development method using waterfall model comprising the steps of requirements, specfification and design, implementation, testing,
deployment, and maintenance. The results of this work is software web-based information system provided a job information,
registration, and test schedule information.
Artículos publicados en prensa.La Vanguardia Culturas
Crítica publicada por el periódico La Vanguardia (Culturas) de de "La isla de los rebeldes", el segundo libro publicado por Javier Zuloaga. Editorial El Aleph. 280 pgs. 19,95 €
Fuerza Chile
La pandemia de COVID-19 ha tenido un impacto significativo en la economía mundial. Muchos países experimentaron fuertes caídas en el PIB y aumentos en el desempleo debido a los cierres generalizados. A medida que se levantan las restricciones, la recuperación económica será gradual a medida que los consumidores y las empresas se readaptan a la nueva normalidad.
A Reliable Routing Technique for Wireless Sensor Networks
Wireless Sensor Network (WSN) consists of very large number of sensor nodes which are deployed close to the area which
is to be monitored so as to sense various environmental conditions. WSN is a data-driven network which produces large amount of data
and also sensor nodes are energy-limited devices and their energy consumption is mainly associated with data routing. Therefore it is
necessary to perform redundant data aggregation so as to save energy. In this work data aggregation is achieved with the help of two key
approaches namely Clustering approach and In-network data aggregation. These two approaches help to save energy and thereby
increasing the lifetime of the network. The proposed work has some key features like reliable cluster formation, high data aggregation
rate, priority of packets, minimized overhead, multiple routes, reduced energy consumption which enhance the network lifetime. The
performance evaluation of the proposed approach is carried out using Network Simulator- version 2
2009 Cpr For Everyone Flyer 2
CPR for Everyone is a free introductory presentation hosted by the American Red Cross on Thursday, June 4th at 3PM at their St. Joseph County Chapter location. The presentation will cover the basics of compression-only CPR, the Check-Call-Care emergency plan, identifying the signs of a heart attack, and the Cardiac Chain of Survival. To RSVP or get more information, contact Jessica Cochran at the provided email or phone number.
Artículos publicados en prensa. ABC
Crítica publicada por el periódico "ABC" de de "La isla de los rebeldes", el segundo libro publicado por Javier Zuloaga. Editorial El Aleph. 280 pgs. 19,95 €
Más contenido relacionado
Destacado
Ijcatr04061008
Nigeria is an oil producing nation which have been relying heavily on oil revenue for its economic well being. Oil depletes and its price can crash making dependence on oil as a mono means for the country’s future futile. Information and communication technology (ICT) on the other hand has impacted the economic growth of various nations such as India. ICT seems to be a key factor in stimulating the development of a country’s productivity across most sectors of the economy and ensuring global competiveness and a move to a New Economy. This Paper examines if a causal relationship exists between ICT and economic wellbeing (GCI) and if ICT can offer a way forward for Nigeria to move from oil based to service and product based economy. The paper also conducts an empirical analysis to find out if oil producing nations experience better growth against ICT innovative nations using 10 countries. The results of the analysis support the believe that ICT led development and of the existence of a causal link between ICT and economic growth and non-existence of a causal link between oil production alone and economic development.
Location Based Tracking System for Emergency Services
This document describes a location-based tracking system that uses SMS and GPS to minimize the number of SMS transmissions while maintaining location tracking accuracy. It proposes a method called Location-Based Delivery (LBD) that combines SMS and GPS. LBD uses location prediction based on speed and bearing to estimate future location, and only sends SMS updates if the actual location differs from the predicted location by more than a dynamic threshold. This threshold is adjusted based on speed to maintain accuracy while reducing SMS messages. Simulations show LBD significantly lowers SMS transmissions compared to other methods while keeping location accuracy within acceptable ranges.
Study of Different Multi-instance Learning kNN Algorithms
Because of it is applicability in various field, multi-instance learning or multi-instance problem becoming more popular in
machine learning research field. Different from supervised learning, multi-instance learning related to the problem of classifying an
unknown bag into positive or negative label such that labels of instances of bags are ambiguous. This paper uses and study three
different k-nearest neighbor algorithm namely Bayesian -kNN, citation -kNN and Bayesian Citation -kNN algorithm for solving multiinstance
problem. Similarity between two bags is measured using Hausdroff distance. To overcome the problem of false positive
instances constructive covering algorithm used. Also the problem definition, learning algorithm and experimental data sets related to
multi-instance learning framework are briefly reviewed in this paper
Flier
This document advertises unique ladies t-shirts from Tall Boy Tees, an online retailer offering alternatives to expensive MLS gear. Their 100% cotton screen-printed tees for women can be ordered from their website, and customers with questions should email the company located in Sugar Land, Texas.
Illumination Invariant Face Recognition System using Local Directional Patter...
The document proposes an illumination-robust face recognition system using local directional pattern (LDP) images and two-dimensional principal component analysis (2D-PCA). It extracts LDP images from face images as inputs to 2D-PCA for feature extraction, instead of using LDP for histogram feature extraction like previous works. Experimental results on the Yale B and CMU-PIE databases show the proposed approach achieves higher recognition accuracy than PCA and LBP-based methods, demonstrating its effectiveness in handling illumination variations. The maximum recognition rates are 96.43% for Yale B and 100% for CMU-PIE illumination sets.
Los Nunca Mas 3
Este documento contiene varias citas bíblicas que desalientan la confesión de debilidad, cansancio, falta de inteligencia u otras limitaciones. Las citas indican que Dios ofrece fuerza, sabiduría y victoria sobre Satanás a aquellos que confían en él.
Efficient growth techniques and properties of Benzophenone Single Crystals fo...
Benzophenone is one of the promising organic NLO materials for their high energy laser photonic
applications and hence this review is mainly emphasized on the discussion of growth, efficiency and
applications of low melting organic NLO benzophenone crystals in order to improve their structural and
physical properties. To grow bulk and good quality benzophenone crystals by various techniques adopted has
been discussed such as slow evaporation method, Microtube-Czochralski method, and Vertical Bridgman
method. It is acknowledged that the size and the efficiency of the growing benzophenone single crystal varies
with that of the techniques we are using has been discussed below. The SHG efficiency of pure benzophenone
crystal also been compared with the standard KDP crystal. Also optical transparency behaviour of the
benzophenone crystal has also been reviewed.
Visual Image Quality Assessment Technique using FSIM
The goal of quality assessment (QA) research is to design algorithms that can automatically
assess the quality of images in a perceptually consistent manner. Image QA algorithms generally
interpret image quality as fidelity or similarity with a “reference” or “perfect” image in some perceptual
space. In order to improve the assessment accuracy of white noise, Gauss blur, JPEG2000 compression
and other distorted images, this paper puts forward an image quality assessment method based on phase
congruency and gradient magnitude. The experimental results show that the image quality assessment
method has a higher accuracy than traditional method and it can accurately reflect the image visual
perception of the human eye. In this paper, we propose an image information measure that quantifies the
information that is present in the reference image and how much of this reference information can be
extracted from the distorted image.
A Novel DBSCAN Approach to Identify Microcalcifications in Cancer Images with...
Cancer is the most deadly disease among the human life. Breast Cancer is one of the most common cancers in this
industrialized world and it is the most common cause of cancer related death among worldwide. Many segmentation
technologies and clustering technologies like K-Means, K-Mediod, CLARANS etc have been proposed to identify the
microcalcifications but this paper presents our new approach of identification of cancer cells in the images containing with
noise and the performance analysis
Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...
Health care information systems are aimed at facilitating the smooth running and interoperability of the health care
delivery processes to ensure efficiency and effectiveness; however, the complexity, heterogeneity and diversity of the health care
sector especially in Kenya poses serious challenges especially in relation to integration of the systems. There is a large disconnect
between the public and private health care delivery systems characterized by fragmentation of services, locally within hospitals
(among primary, secondary and tertiary health care settings) and across different health care centers. This research is aimed at
examining the adoption of integrated healthcare information system in Nairobi County; Kenyatta National Hospital represents the
public sector and The Mater Hospital the private sector. A sample size of 100 users on information system from the two hospitals
picked from the primary secondary and tertiary levels were selected and questionnaires administered to them. Data was analyzed
through descriptive statistics with the aid of SPSS. The results of the study indicated that there was a huge disparity between
healthcare information system adoption in the public and private sectors with the private sector’s adoption being at an advanced
stage. The major barriers to adoption including social political barriers, financial constraints and technical/technological barriers
also presented.
Development of Web-based Job Fair Information System
The development of information technology should be ordered to improve the services including job fair information system
services. This work aimed to develop of web-based job fair information system. The methods used in this work consists of collecting
data method, and software development method. Collecting data method using observations, interview, and literature study. Software
development method using waterfall model comprising the steps of requirements, specfification and design, implementation, testing,
deployment, and maintenance. The results of this work is software web-based information system provided a job information,
registration, and test schedule information.
Artículos publicados en prensa.La Vanguardia Culturas
Crítica publicada por el periódico La Vanguardia (Culturas) de de "La isla de los rebeldes", el segundo libro publicado por Javier Zuloaga. Editorial El Aleph. 280 pgs. 19,95 €
Fuerza Chile
La pandemia de COVID-19 ha tenido un impacto significativo en la economía mundial. Muchos países experimentaron fuertes caídas en el PIB y aumentos en el desempleo debido a los cierres generalizados. A medida que se levantan las restricciones, la recuperación económica será gradual a medida que los consumidores y las empresas se readaptan a la nueva normalidad.
A Reliable Routing Technique for Wireless Sensor Networks
Wireless Sensor Network (WSN) consists of very large number of sensor nodes which are deployed close to the area which
is to be monitored so as to sense various environmental conditions. WSN is a data-driven network which produces large amount of data
and also sensor nodes are energy-limited devices and their energy consumption is mainly associated with data routing. Therefore it is
necessary to perform redundant data aggregation so as to save energy. In this work data aggregation is achieved with the help of two key
approaches namely Clustering approach and In-network data aggregation. These two approaches help to save energy and thereby
increasing the lifetime of the network. The proposed work has some key features like reliable cluster formation, high data aggregation
rate, priority of packets, minimized overhead, multiple routes, reduced energy consumption which enhance the network lifetime. The
performance evaluation of the proposed approach is carried out using Network Simulator- version 2
2009 Cpr For Everyone Flyer 2
CPR for Everyone is a free introductory presentation hosted by the American Red Cross on Thursday, June 4th at 3PM at their St. Joseph County Chapter location. The presentation will cover the basics of compression-only CPR, the Check-Call-Care emergency plan, identifying the signs of a heart attack, and the Cardiac Chain of Survival. To RSVP or get more information, contact Jessica Cochran at the provided email or phone number.
Artículos publicados en prensa. ABC
Crítica publicada por el periódico "ABC" de de "La isla de los rebeldes", el segundo libro publicado por Javier Zuloaga. Editorial El Aleph. 280 pgs. 19,95 €
Destacado (20)
Location Based Tracking System for Emergency Services
Location Based Tracking System for Emergency Services
Study of Different Multi-instance Learning kNN Algorithms
Study of Different Multi-instance Learning kNN Algorithms
Illumination Invariant Face Recognition System using Local Directional Patter...
Illumination Invariant Face Recognition System using Local Directional Patter...
Efficient growth techniques and properties of Benzophenone Single Crystals fo...
Efficient growth techniques and properties of Benzophenone Single Crystals fo...
Visual Image Quality Assessment Technique using FSIM
Visual Image Quality Assessment Technique using FSIM
A Novel DBSCAN Approach to Identify Microcalcifications in Cancer Images with...
A Novel DBSCAN Approach to Identify Microcalcifications in Cancer Images with...
Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...
Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...
Development of Web-based Job Fair Information System
Development of Web-based Job Fair Information System
Artículos publicados en prensa.La Vanguardia Culturas
Artículos publicados en prensa.La Vanguardia Culturas
A Reliable Routing Technique for Wireless Sensor Networks
A Reliable Routing Technique for Wireless Sensor Networks
Último
COMPROMISOS PARA CUIDAR EL MEDIO AMBIENTE.pdf
Para fortalecer las competencias de identidad nacional, regional y local se promueven actividades que tienen como propósito que los niños y niñas investiguen las reseñas históricas de los personajes que participaron en el proceso de la independencia, que elaboren líneas de tiempo a lo largo de la historia del país, que dialoguen y expresen sus opiniones sobre los cambios ocasionados, propongan alternativas de solución para revalorar la historia del país, asuman responsabilidades y compromisos para demostrar ese amor cívico cultural, resolverán diversas situaciones, valorar los símbolos patrios, reconocerán cómo utilizaban nuestros antepasados el suelo patrio y leerán diversos tipos de textos para comprender y revaloran su historia.
Miguel Rodríguez Presentación LOS PROCESOS GERENCIALES DEL TALENTO HUMANO.pptx
Universidad bicentenaria de Aragua
EXPOSICIONkljhmkkkkkkkkkkk ADENCION.pptx
-La adhesión entre los espermatozoides y las membranas plasmáticas de las células oviductales está asegurada por moléculas expuestas en la superficie rostral de los espermatozoides y capaces de unir carbohidratos en la superficie de las células oviductuales especifica para cada especie
-La adhesión entre los espermatozoides y las membranas plasmáticas de las células oviductales está asegurada por moléculas expuestas en la superficie rostral de los espermatozoides y capaces de unir carbohidratos en la superficie de las células oviductuales especifica para cada especie.
-Unas horas antes de la ovulación, los espermatozoides unidos comienzan a liberarse y progresan hacia la unión ampular/ístmica, donde el ovocito ovulado se detendrá para la fertilización.
Objetivo
-Revisar el conocimiento disponible sobre las moléculas involucradas en la selección, almacenamiento y liberación de espermatozoides del reservorio oviductal.
presentaciondenotasdepapeljuvenilrosado202406152319030000-240616042154-f172c8...
presentaciondenotasdepapeljuvenilrosado202406152319030000-240616042154-f172c8...Grados Solórzano Tania Apellidos
Macabi Alto Presentación Proyecto libreta Creativo Doodle Rosa (1).pdf
PLANTILLA DE PRESENTACION PARA MULTIUSOSS CANVA , ESTO LO HIZE CON EL FIN DE DESCARGAR UN DOCUMENTO GRATIS JAJAJAJAJA , AL FIN ES MUY BUENA LA PLANTILLA , SI QUIEREN USENLA , LA DESCARGUE DESDE CANVA , CANVA LO MEJOR DE LO MEJOR
EN DIN HAGANLO BIEM
Aquí tienes una descripción al azar de 500 palabras:
En el vasto horizonte del cosmos, donde las estrellas parpadean como joyas incrustadas en el manto celestial, se encuentra un universo lleno de misterios y maravillas. Desde los confines de las galaxias distantes hasta los rincones más oscuros de la imaginación humana, la exploración del cosmos nos lleva a un viaje sin fin de descubrimiento y asombro.
En este vasto universo, la Tierra, nuestro hogar, brilla como una esfera azul brillante suspendida en la inmensidad del espacio. Un mundo de una belleza incomparable, donde los océanos danzan con la luz del sol y los continentes están adornados con una diversidad de paisajes y formas de vida.
Los océanos, vastos y profundos, albergan una inmensa variedad de criaturas marinas, desde las criaturas más pequeñas e imperceptibles hasta los gigantes majestuosos de las profundidades. Los arrecifes de coral, con sus colores vibrantes y formas caprichosas, son como ciudades submarinas llenas de vida y actividad.
En tierra firme, los paisajes varían desde las vastas llanuras hasta las imponentes montañas, desde los densos bosques tropicales hasta los áridos desiertos. Cada rincón de la Tierra está habitado por una diversidad de formas de vida, desde las diminutas bacterias hasta los majestuosos elefantes y los ágiles leopardos.
Pero la belleza de la Tierra también está marcada por la fragilidad de su ecosistema. El cambio climático, la deforestación y la contaminación amenazan con perturbar el delicado equilibrio de la naturaleza, poniendo en peligro la vida en el planeta. Es responsabilidad de cada uno de nosotros proteger y preservar este precioso hogar que compartimos.
Mientras exploramos las maravillas de la Tierra, también miramos hacia el cielo en busca de respuestas a las preguntas más profundas sobre el universo. Desde los telescopios terrestres hasta los satélites en órbita, la humanidad ha desplegado una red de ojos en el cielo para desentrañar los secretos del cosmos.
Las estrellas, como faros en la oscuridad, nos guían a través del vasto océano cósmico, mientras que los planetas y las lunas nos ofrecen destellos de mundos distantes y paisajes extraterrestres. En los confines del sistema solar y más allá, los científicos buscan signos de vida más allá de la Tierra, preguntándose si estamos solos en el universo.
Pero incluso mientras miramos hacia las estrellas en busca de respuestas, recordamos que nuestro hogar, la Tierra, es un oasis de vida en un vasto y desolado desierto cósmico. Es aquí, en este pequeño rincón del universo, donde encontramos la belleza, la diversidad y la maravilla que nos inspiran a explorar y descubrir más sobre el mundo que nos rode
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