PSR

Ces dernières années, les cellules solaires à couches minces CZTS ont tenté d'émerger grâce à leurs excellentes propriétés technologiques et environnementales. Si leurs performances se confirment, elles pourraient devenir des acteurs majeurs du marché de l'énergie solaire dans les années à venir. Bien que de nombreuses recherches aient mis en œuvre de nombreuses solutions pour améliorer les performances de cette technologie, le rendement de conversion de la cellule solaire reste remarquablement faible par rapport à d'autres technologies. Comprendre les facteurs limitant les performances est do...

Nous presentons dans le cadre de cette these notre contribution a l'etude des materiaux a geometrie fractale suivant une approche a la fois experimentale et theorique. Nous nous sommes orientes vers le domaine des structures fractales deterministes que nous avons realisees par un procede microelectronique (technologie mis : metal-isolant-semiconducteur). L'etude de ces structures au travers de leurs impedances a revele d'une part un comportement frequentiel etroitement correle a leur dimension fractale et d'autre part, des proprietes physiques particulieres telles : - un comportement frequenti...

Light quality plays a crucial role in the physiological responses of plants, particularly in stomatal behavior and canopy development. This study investigated the effects of different light spectra blue (B, 445 nm), red (R, 660 nm), and an alternating red-blue cycle every three days (R3B3) on okra (Abelmoschus esculentus), compared to natural light conditions in greenhouse and outdoor environments. The results showed that both blue light and natural sunlight significantly increased stomatal length, width, and density. Blue light also promoted a higher Leaf Area Index (LAI) after 37 days of gro...

Light quality plays a crucial role in the physiological responses of plants, particularly in stomatal behavior and canopy development. This study investigated the effects of different light spectra blue (B, 445 nm), red (R, 660 nm), and an alternating red-blue cycle every three days (R3B3) on okra (Abelmoschus esculentus), compared to natural light conditions in greenhouse and outdoor environments. The results showed that both blue light and natural sunlight significantly increased stomatal length, width, and density. Blue light also promoted a higher Leaf Area Index (LAI) after 37 days of gro...

Light quality plays a crucial role in the physiological responses of plants, particularly in stomatal behavior and canopy development. This study investigated the effects of different light spectra blue (B, 445 nm), red (R, 660 nm), and an alternating red-blue cycle every three days (R3B3) on okra (Abelmoschus esculentus), compared to natural light conditions in greenhouse and outdoor environments. The results showed that both blue light and natural sunlight significantly increased stomatal length, width, and density. Blue light also promoted a higher Leaf Area Index (LAI) after 37 days of gro...

Light quality plays a crucial role in the physiological responses of plants, particularly in stomatal behavior and canopy development. This study investigated the effects of different light spectra blue (B, 445 nm), red (R, 660 nm), and an alternating red-blue cycle every three days (R3B3) on okra (Abelmoschus esculentus), compared to natural light conditions in greenhouse and outdoor environments. The results showed that both blue light and natural sunlight significantly increased stomatal length, width, and density. Blue light also promoted a higher Leaf Area Index (LAI) after 37 days of gro...

Light quality plays a crucial role in the physiological responses of plants, particularly in stomatal behavior and canopy development. This study investigated the effects of different light spectra blue (B, 445 nm), red (R, 660 nm), and an alternating red-blue cycle every three days (R3B3) on okra (Abelmoschus esculentus), compared to natural light conditions in greenhouse and outdoor environments. The results showed that both blue light and natural sunlight significantly increased stomatal length, width, and density. Blue light also promoted a higher Leaf Area Index (LAI) after 37 days of gro...

Light quality plays a crucial role in the physiological responses of plants, particularly in stomatal behavior and canopy development. This study investigated the effects of different light spectra blue (B, 445 nm), red (R, 660 nm), and an alternating red-blue cycle every three days (R3B3) on okra (Abelmoschus esculentus), compared to natural light conditions in greenhouse and outdoor environments. The results showed that both blue light and natural sunlight significantly increased stomatal length, width, and density. Blue light also promoted a higher Leaf Area Index (LAI) after 37 days of gro...

Le sulfure de cadmium (CdS), un semi-conducteur intrinsèque de type N, constitue une solution intéressante et économique pour son utilisation comme couche tampon dans les cellules photovoltaïques. Cette étude présente…

Le sulfure de cadmium (CdS), un semi-conducteur intrinsèque de type N, constitue une solution intéressante et économique pour son utilisation comme couche tampon dans les cellules photovoltaïques. Cette étude présente…

Le sulfure de cadmium (CdS), un semi-conducteur intrinsèque de type N, constitue une solution intéressante et économique pour son utilisation comme couche tampon dans les cellules photovoltaïques. Cette étude présente…

Le sulfure de cadmium (CdS), un semi-conducteur intrinsèque de type N, constitue une solution intéressante et économique pour son utilisation comme couche tampon dans les cellules photovoltaïques. Cette étude présente…

A photosynthetic plant retlects a large amount of infrared light and absorbs a lot of red light during the process of photosynthesis. This plant reaponse to the light is due to chlorophyll. Thus, it is possible to use reffectance spectra or visible and infrared images to study the photosynthetic activity of plants. In this paper, dry biomass estimation of spinulina platensis using two different approaches are presented. The first one use a contrast function between visible and near infrared reflectance image of vegetation obtained with inragram camera to estimate the spectral indices...

A photosynthetic plant retlects a large amount of infrared light and absorbs a lot of red light during the process of photosynthesis. This plant reaponse to the light is due to chlorophyll. Thus, it is possible to use reffectance spectra or visible and infrared images to study the photosynthetic activity of plants. In this paper, dry biomass estimation of spinulina platensis using two different approaches are presented. The first one use a contrast function between visible and near infrared reflectance image of vegetation obtained with inragram camera to estimate the spectral indices...

A photosynthetic plant retlects a large amount of infrared light and absorbs a lot of red light during the process of photosynthesis. This plant reaponse to the light is due to chlorophyll. Thus, it is possible to use reffectance spectra or visible and infrared images to study the photosynthetic activity of plants. In this paper, dry biomass estimation of spinulina platensis using two different approaches are presented. The first one use a contrast function between visible and near infrared reflectance image of vegetation obtained with inragram camera to estimate the spectral indices...

A photosynthetic plant retlects a large amount of infrared light and absorbs a lot of red light during the process of photosynthesis. This plant reaponse to the light is due to chlorophyll. Thus, it is possible to use reffectance spectra or visible and infrared images to study the photosynthetic activity of plants. In this paper, dry biomass estimation of spinulina platensis using two different approaches are presented. The first one use a contrast function between visible and near infrared reflectance image of vegetation obtained with inragram camera to estimate the spectral indices...

A photosynthetic plant retlects a large amount of infrared light and absorbs a lot of red light during the process of photosynthesis. This plant reaponse to the light is due to chlorophyll. Thus, it is possible to use reffectance spectra or visible and infrared images to study the photosynthetic activity of plants. In this paper, dry biomass estimation of spinulina platensis using two different approaches are presented. The first one use a contrast function between visible and near infrared reflectance image of vegetation obtained with inragram camera to estimate the spectral indices...

A photosynthetic plant retlects a large amount of infrared light and absorbs a lot of red light during the process of photosynthesis. This plant reaponse to the light is due to chlorophyll. Thus, it is possible to use reffectance spectra or visible and infrared images to study the photosynthetic activity of plants. In this paper, dry biomass estimation of spinulina platensis using two different approaches are presented. The first one use a contrast function between visible and near infrared reflectance image of vegetation obtained with inragram camera to estimate the spectral indices...

Greenhouse lighting is the most important parameter for plant growth because it is at the root of the photosynthesis process. Light-emitting diodes (LED) have many advantages and can allow us to obtain an ideal plant growth's spectrum with enough intensity. This can be reached thanks to a wide range of LED panels with monochromatic and highly saturated colours. Thus, in order to enhance photosynthetic and power efficiency, we combined several LEDs to get optimal spectrum with minimum power consumption. To reach this goal, a combination of Gaussian and Pearson VII functions were simulated betwe...

Greenhouse lighting is the most important parameter for plant growth because it is at the root of the photosynthesis process. Light-emitting diodes (LED) have many advantages and can allow us to obtain an ideal plant growth's spectrum with enough intensity. This can be reached thanks to a wide range of LED panels with monochromatic and highly saturated colours. Thus, in order to enhance photosynthetic and power efficiency, we combined several LEDs to get optimal spectrum with minimum power consumption. To reach this goal, a combination of Gaussian and Pearson VII functions were simulated betwe...

Greenhouse lighting is the most important parameter for plant growth because it is at the root of the photosynthesis process. Light-emitting diodes (LED) have many advantages and can allow us to obtain an ideal plant growth's spectrum with enough intensity. This can be reached thanks to a wide range of LED panels with monochromatic and highly saturated colours. Thus, in order to enhance photosynthetic and power efficiency, we combined several LEDs to get optimal spectrum with minimum power consumption. To reach this goal, a combination of Gaussian and Pearson VII functions were simulated betwe...

Greenhouse lighting is the most important parameter for plant growth because it is at the root of the photosynthesis process. Light-emitting diodes (LED) have many advantages and can allow us to obtain an ideal plant growth's spectrum with enough intensity. This can be reached thanks to a wide range of LED panels with monochromatic and highly saturated colours. Thus, in order to enhance photosynthetic and power efficiency, we combined several LEDs to get optimal spectrum with minimum power consumption. To reach this goal, a combination of Gaussian and Pearson VII functions were simulated betwe...

Greenhouse lighting is the most important parameter for plant growth because it is at the root of the photosynthesis process. Light-emitting diodes (LED) have many advantages and can allow us to obtain an ideal plant growth's spectrum with enough intensity. This can be reached thanks to a wide range of LED panels with monochromatic and highly saturated colours. Thus, in order to enhance photosynthetic and power efficiency, we combined several LEDs to get optimal spectrum with minimum power consumption. To reach this goal, a combination of Gaussian and Pearson VII functions were simulated betwe...

Ce travail de recherche aborde un sujet d’une extrême importance, la problématique de développement d’une méthode de diagnostic précoce pour la détection de l’infection à Mycobacterium ulcerans dans le monde. Il s’agit d’une étude de développement et de réalisation d’un dispositif, permettant la caractérisation des paramètres optiques de la peau analysée pour la détection de ce micro-organisme. Au terme de l’étude, il semble que le diagnostic actuel est clinique et utilise quatre méthodes invasives. La Polymerase Chain Reaction (PCR) est la méthode étalon-or en raison de sa sensibilité é...

Ce travail de recherche aborde un sujet d’une extrême importance, la problématique de développement d’une méthode de diagnostic précoce pour la détection de l’infection à Mycobacterium ulcerans dans le monde. Il s’agit d’une étude de développement et de réalisation d’un dispositif, permettant la caractérisation des paramètres optiques de la peau analysée pour la détection de ce micro-organisme. Au terme de l’étude, il semble que le diagnostic actuel est clinique et utilise quatre méthodes invasives. La Polymerase Chain Reaction (PCR) est la méthode étalon-or en raison de sa sensibilité é...

Ce travail de recherche aborde un sujet d’une extrême importance, la problématique de développement d’une méthode de diagnostic précoce pour la détection de l’infection à Mycobacterium ulcerans dans le monde. Il s’agit d’une étude de développement et de réalisation d’un dispositif, permettant la caractérisation des paramètres optiques de la peau analysée pour la détection de ce micro-organisme. Au terme de l’étude, il semble que le diagnostic actuel est clinique et utilise quatre méthodes invasives. La Polymerase Chain Reaction (PCR) est la méthode étalon-or en raison de sa sensibilité é...

Ce travail de recherche aborde un sujet d’une extrême importance, la problématique de développement d’une méthode de diagnostic précoce pour la détection de l’infection à Mycobacterium ulcerans dans le monde. Il s’agit d’une étude de développement et de réalisation d’un dispositif, permettant la caractérisation des paramètres optiques de la peau analysée pour la détection de ce micro-organisme. Au terme de l’étude, il semble que le diagnostic actuel est clinique et utilise quatre méthodes invasives. La Polymerase Chain Reaction (PCR) est la méthode étalon-or en raison de sa sensibilité é...

Ce travail de recherche aborde un sujet d’une extrême importance, la problématique de développement d’une méthode de diagnostic précoce pour la détection de l’infection à Mycobacterium ulcerans dans le monde. Il s’agit d’une étude de développement et de réalisation d’un dispositif, permettant la caractérisation des paramètres optiques de la peau analysée pour la détection de ce micro-organisme. Au terme de l’étude, il semble que le diagnostic actuel est clinique et utilise quatre méthodes invasives. La Polymerase Chain Reaction (PCR) est la méthode étalon-or en raison de sa sensibilité é...

Ce travail de recherche aborde un sujet d’une extrême importance, la problématique de développement d’une méthode de diagnostic précoce pour la détection de l’infection à Mycobacterium ulcerans dans le monde. Il s’agit d’une étude de développement et de réalisation d’un dispositif, permettant la caractérisation des paramètres optiques de la peau analysée pour la détection de ce micro-organisme. Au terme de l’étude, il semble que le diagnostic actuel est clinique et utilise quatre méthodes invasives. La Polymerase Chain Reaction (PCR) est la méthode étalon-or en raison de sa sensibilité é...

Ce travail de recherche aborde un sujet d’une extrême importance, la problématique de développement d’une méthode de diagnostic précoce pour la détection de l’infection à Mycobacterium ulcerans dans le monde. Il s’agit d’une étude de développement et de réalisation d’un dispositif, permettant la caractérisation des paramètres optiques de la peau analysée pour la détection de ce micro-organisme. Au terme de l’étude, il semble que le diagnostic actuel est clinique et utilise quatre méthodes invasives. La Polymerase Chain Reaction (PCR) est la méthode étalon-or en raison de sa sensibilité é...

Ce travail de recherche aborde un sujet d’une extrême importance, la problématique de développement d’une méthode de diagnostic précoce pour la détection de l’infection à Mycobacterium ulcerans dans le monde. Il s’agit d’une étude de développement et de réalisation d’un dispositif, permettant la caractérisation des paramètres optiques de la peau analysée pour la détection de ce micro-organisme. Au terme de l’étude, il semble que le diagnostic actuel est clinique et utilise quatre méthodes invasives. La Polymerase Chain Reaction (PCR) est la méthode étalon-or en raison de sa sensibilité é...

In this research, an optical design model of an elliptical dual reflector working in the near-ultraviolet (UV)-Visible (UV-VIS) region for the detection of Mycobacterium ulcerans is presented. This approach aims at developing an original, portable, non-invasive and usable on the field diagnostic device. The Henyey-Greenstein scattering skin model is used in the simulation model to calculate the light scattering phenomena. Based on a virtual skin model, the dual elliptical reflector system can focus the light from LEDs into the depths of human skin and enhance the collection of backscattered li...

In this research, an optical design model of an elliptical dual reflector working in the near-ultraviolet (UV)-Visible (UV-VIS) region for the detection of Mycobacterium ulcerans is presented. This approach aims at developing an original, portable, non-invasive and usable on the field diagnostic device. The Henyey-Greenstein scattering skin model is used in the simulation model to calculate the light scattering phenomena. Based on a virtual skin model, the dual elliptical reflector system can focus the light from LEDs into the depths of human skin and enhance the collection of backscattered li...

In this research, an optical design model of an elliptical dual reflector working in the near-ultraviolet (UV)-Visible (UV-VIS) region for the detection of Mycobacterium ulcerans is presented. This approach aims at developing an original, portable, non-invasive and usable on the field diagnostic device. The Henyey-Greenstein scattering skin model is used in the simulation model to calculate the light scattering phenomena. Based on a virtual skin model, the dual elliptical reflector system can focus the light from LEDs into the depths of human skin and enhance the collection of backscattered li...

In this research, an optical design model of an elliptical dual reflector working in the near-ultraviolet (UV)-Visible (UV-VIS) region for the detection of Mycobacterium ulcerans is presented. This approach aims at developing an original, portable, non-invasive and usable on the field diagnostic device. The Henyey-Greenstein scattering skin model is used in the simulation model to calculate the light scattering phenomena. Based on a virtual skin model, the dual elliptical reflector system can focus the light from LEDs into the depths of human skin and enhance the collection of backscattered li...

In this research, an optical design model of an elliptical dual reflector working in the near-ultraviolet (UV)-Visible (UV-VIS) region for the detection of Mycobacterium ulcerans is presented. This approach aims at developing an original, portable, non-invasive and usable on the field diagnostic device. The Henyey-Greenstein scattering skin model is used in the simulation model to calculate the light scattering phenomena. Based on a virtual skin model, the dual elliptical reflector system can focus the light from LEDs into the depths of human skin and enhance the collection of backscattered li...

In this research, an optical design model of an elliptical dual reflector working in the near-ultraviolet (UV)-Visible (UV-VIS) region for the detection of Mycobacterium ulcerans is presented. This approach aims at developing an original, portable, non-invasive and usable on the field diagnostic device. The Henyey-Greenstein scattering skin model is used in the simulation model to calculate the light scattering phenomena. Based on a virtual skin model, the dual elliptical reflector system can focus the light from LEDs into the depths of human skin and enhance the collection of backscattered li...

This research proposes a new non-invasive approach for the detection of Mycobacterium ulcerans based on reflectance spectroscopy. Diffuse reflectance spectroscopy (DRS) is a technique that illuminates the tissue surface and analyzes the spectrum of backscattered light, in which the signature of various biochemical species can be identified. This promising technique is established in this paper for the non-invasive and in vivo characterization of the optical properties of tissues for diagnostic applications. We have introduced a new compact and low-cost architecture for RSD, based on the use of...

This research proposes a new non-invasive approach for the detection of Mycobacterium ulcerans based on reflectance spectroscopy. Diffuse reflectance spectroscopy (DRS) is a technique that illuminates the tissue surface and analyzes the spectrum of backscattered light, in which the signature of various biochemical species can be identified. This promising technique is established in this paper for the non-invasive and in vivo characterization of the optical properties of tissues for diagnostic applications. We have introduced a new compact and low-cost architecture for RSD, based on the use of...

This research proposes a new non-invasive approach for the detection of Mycobacterium ulcerans based on reflectance spectroscopy. Diffuse reflectance spectroscopy (DRS) is a technique that illuminates the tissue surface and analyzes the spectrum of backscattered light, in which the signature of various biochemical species can be identified. This promising technique is established in this paper for the non-invasive and in vivo characterization of the optical properties of tissues for diagnostic applications. We have introduced a new compact and low-cost architecture for RSD, based on the use of...

This research proposes a new non-invasive approach for the detection of Mycobacterium ulcerans based on reflectance spectroscopy. Diffuse reflectance spectroscopy (DRS) is a technique that illuminates the tissue surface and analyzes the spectrum of backscattered light, in which the signature of various biochemical species can be identified. This promising technique is established in this paper for the non-invasive and in vivo characterization of the optical properties of tissues for diagnostic applications. We have introduced a new compact and low-cost architecture for RSD, based on the use of...

This research proposes a new non-invasive approach for the detection of Mycobacterium ulcerans based on reflectance spectroscopy. Diffuse reflectance spectroscopy (DRS) is a technique that illuminates the tissue surface and analyzes the spectrum of backscattered light, in which the signature of various biochemical species can be identified. This promising technique is established in this paper for the non-invasive and in vivo characterization of the optical properties of tissues for diagnostic applications. We have introduced a new compact and low-cost architecture for RSD, based on the use of...

This research proposes a new non-invasive approach for the detection of Mycobacterium ulcerans based on reflectance spectroscopy. Diffuse reflectance spectroscopy (DRS) is a technique that illuminates the tissue surface and analyzes the spectrum of backscattered light, in which the signature of various biochemical species can be identified. This promising technique is established in this paper for the non-invasive and in vivo characterization of the optical properties of tissues for diagnostic applications. We have introduced a new compact and low-cost architecture for RSD, based on the use of...

In this study, we focused on diffuse reflectance spectroscopy, a rapid and noninvasive spectroscopy technique that has considerable potential for medical diagnosis. In order to better understand and analyze the signals induced by this method, we performed a series of in vivo measurements on healthy and diseased skin. Measurement sites on a human hand and feet were chosen. Some preliminary results obtained on these sites show the feasibility of this technique in clinics.

In this study, we focused on diffuse reflectance spectroscopy, a rapid and noninvasive spectroscopy technique that has considerable potential for medical diagnosis. In order to better understand and analyze the signals induced by this method, we performed a series of in vivo measurements on healthy and diseased skin. Measurement sites on a human hand and feet were chosen. Some preliminary results obtained on these sites show the feasibility of this technique in clinics.

In this study, we focused on diffuse reflectance spectroscopy, a rapid and noninvasive spectroscopy technique that has considerable potential for medical diagnosis. In order to better understand and analyze the signals induced by this method, we performed a series of in vivo measurements on healthy and diseased skin. Measurement sites on a human hand and feet were chosen. Some preliminary results obtained on these sites show the feasibility of this technique in clinics.

In this study, we focused on diffuse reflectance spectroscopy, a rapid and noninvasive spectroscopy technique that has considerable potential for medical diagnosis. In order to better understand and analyze the signals induced by this method, we performed a series of in vivo measurements on healthy and diseased skin. Measurement sites on a human hand and feet were chosen. Some preliminary results obtained on these sites show the feasibility of this technique in clinics.

In this study, we focused on diffuse reflectance spectroscopy, a rapid and noninvasive spectroscopy technique that has considerable potential for medical diagnosis. In order to better understand and analyze the signals induced by this method, we performed a series of in vivo measurements on healthy and diseased skin. Measurement sites on a human hand and feet were chosen. Some preliminary results obtained on these sites show the feasibility of this technique in clinics.

In this study, we focused on diffuse reflectance spectroscopy, a rapid and noninvasive spectroscopy technique that has considerable potential for medical diagnosis. In order to better understand and analyze the signals induced by this method, we performed a series of in vivo measurements on healthy and diseased skin. Measurement sites on a human hand and feet were chosen. Some preliminary results obtained on these sites show the feasibility of this technique in clinics.

Recent studies have shown that Matrix Factorization (MF) method, deriving from recommendation systems, can predict student performance as part of Intelligent Tutoring Systems (ITS). In order to improve the accuracy of this method, we hypothesize that taking into account the mutual influence effect in the relations of student groups would be a major asset. This criterion, coupled with those of the different relationships between the students, the tasks and the skills, would thus be essential elements for a better performance prediction in order to make personalized recommendations in t...

Recent studies have shown that Matrix Factorization (MF) method, deriving from recommendation systems, can predict student performance as part of Intelligent Tutoring Systems (ITS). In order to improve the accuracy of this method, we hypothesize that taking into account the mutual influence effect in the relations of student groups would be a major asset. This criterion, coupled with those of the different relationships between the students, the tasks and the skills, would thus be essential elements for a better performance prediction in order to make personalized recommendations in t...

Recent studies have shown that Matrix Factorization (MF) method, deriving from recommendation systems, can predict student performance as part of Intelligent Tutoring Systems (ITS). In order to improve the accuracy of this method, we hypothesize that taking into account the mutual influence effect in the relations of student groups would be a major asset. This criterion, coupled with those of the different relationships between the students, the tasks and the skills, would thus be essential elements for a better performance prediction in order to make personalized recommendations in t...

Recent studies have shown that Matrix Factorization (MF) method, deriving from recommendation systems, can predict student performance as part of Intelligent Tutoring Systems (ITS). In order to improve the accuracy of this method, we hypothesize that taking into account the mutual influence effect in the relations of student groups would be a major asset. This criterion, coupled with those of the different relationships between the students, the tasks and the skills, would thus be essential elements for a better performance prediction in order to make personalized recommendations in t...

Recent studies have shown that Matrix Factorization (MF) method, deriving from recommendation systems, can predict student performance as part of Intelligent Tutoring Systems (ITS). In order to improve the accuracy of this method, we hypothesize that taking into account the mutual influence effect in the relations of student groups would be a major asset. This criterion, coupled with those of the different relationships between the students, the tasks and the skills, would thus be essential elements for a better performance prediction in order to make personalized recommendations in t...

In this study, we assess the current management of Waste Electrical and Electronic Equipment (WEEE) in the Republic of Côte d'Ivoire. This assessment is based on a field survey that involved various key players, including importers, distributors, consumers, repairers, collectors and recyclers of WEEE, as well as government departments such as the Ministry of the Environment and the General Directorate of Customs. The study highlights the multiple challenges facing the WEEE sector, encompassing social, economic, environmental, political and technological aspects. It examines the lack of...

In this study, we assess the current management of Waste Electrical and Electronic Equipment (WEEE) in the Republic of Côte d'Ivoire. This assessment is based on a field survey that involved various key players, including importers, distributors, consumers, repairers, collectors and recyclers of WEEE, as well as government departments such as the Ministry of the Environment and the General Directorate of Customs. The study highlights the multiple challenges facing the WEEE sector, encompassing social, economic, environmental, political and technological aspects. It examines the lack of...

In this study, we assess the current management of Waste Electrical and Electronic Equipment (WEEE) in the Republic of Côte d'Ivoire. This assessment is based on a field survey that involved various key players, including importers, distributors, consumers, repairers, collectors and recyclers of WEEE, as well as government departments such as the Ministry of the Environment and the General Directorate of Customs. The study highlights the multiple challenges facing the WEEE sector, encompassing social, economic, environmental, political and technological aspects. It examines the lack of...

In this study, we assess the current management of Waste Electrical and Electronic Equipment (WEEE) in the Republic of Côte d'Ivoire. This assessment is based on a field survey that involved various key players, including importers, distributors, consumers, repairers, collectors and recyclers of WEEE, as well as government departments such as the Ministry of the Environment and the General Directorate of Customs. The study highlights the multiple challenges facing the WEEE sector, encompassing social, economic, environmental, political and technological aspects. It examines the lack of...

The notion of resilience reflects the ability of a system to maintain vital functions in changing environments. In social sciences, resilience is defined as the ability of a system to bounce back from a traumatic shock that has produced a breakdown in social habits. The use of the notion of resilience in social sciences poses many challenges which include the modeling of resilience process. To do so, a new modeling area, called resilometrics, is proposed to fill the gap. Hence, resilometrics will be the discipline that model resilience processes in social science. Resilometrics will e...

The notion of resilience reflects the ability of a system to maintain vital functions in changing environments. In social sciences, resilience is defined as the ability of a system to bounce back from a traumatic shock that has produced a breakdown in social habits. The use of the notion of resilience in social sciences poses many challenges which include the modeling of resilience process. To do so, a new modeling area, called resilometrics, is proposed to fill the gap. Hence, resilometrics will be the discipline that model resilience processes in social science. Resilometrics will e...

In data analysis processes, the treatment of outliers in quantitative variables is very critical as it affects the quality of the conclusions. However, despite the existence of very good tools for detecting outliers, dealing with them is not always straightforward. Indeed, statisticians recommend modeling the process underlying outliers to identify the best way to deal with them. In the context of Data Science and Machine Learning, the identification of processes that generate outliers remains problematic because this work requires a visual human interpretation of certain statistical...

In data analysis processes, the treatment of outliers in quantitative variables is very critical as it affects the quality of the conclusions. However, despite the existence of very good tools for detecting outliers, dealing with them is not always straightforward. Indeed, statisticians recommend modeling the process underlying outliers to identify the best way to deal with them. In the context of Data Science and Machine Learning, the identification of processes that generate outliers remains problematic because this work requires a visual human interpretation of certain statistical...

In data analysis processes, the treatment of outliers in quantitative variables is very critical as it affects the quality of the conclusions. However, despite the existence of very good tools for detecting outliers, dealing with them is not always straightforward. Indeed, statisticians recommend modeling the process underlying outliers to identify the best way to deal with them. In the context of Data Science and Machine Learning, the identification of processes that generate outliers remains problematic because this work requires a visual human interpretation of certain statistical...

In data analysis processes, the treatment of outliers in quantitative variables is very critical as it affects the quality of the conclusions. However, despite the existence of very good tools for detecting outliers, dealing with them is not always straightforward. Indeed, statisticians recommend modeling the process underlying outliers to identify the best way to deal with them. In the context of Data Science and Machine Learning, the identification of processes that generate outliers remains problematic because this work requires a visual human interpretation of certain statistical...

The Structural equations modeling with latent’s variables (SEMLV) are a class of statistical methods for modeling the relationships between unobservable concepts called latent variables. In this type of model, each latent variable is described by a number of observable variables called manifest variables. The most used version of this category of statistical methods is the partial least square path modeling (PLS Path Modeling). In PLS Path Modeling, the specification of the relashonships between the unobservable concepts, knows as structural relationships, is the most important thing...

The Structural equations modeling with latent’s variables (SEMLV) are a class of statistical methods for modeling the relationships between unobservable concepts called latent variables. In this type of model, each latent variable is described by a number of observable variables called manifest variables. The most used version of this category of statistical methods is the partial least square path modeling (PLS Path Modeling). In PLS Path Modeling, the specification of the relashonships between the unobservable concepts, knows as structural relationships, is the most important thing...

The Structural equations modeling with latent’s variables (SEMLV) are a class of statistical methods for modeling the relationships between unobservable concepts called latent variables. In this type of model, each latent variable is described by a number of observable variables called manifest variables. The most used version of this category of statistical methods is the partial least square path modeling (PLS Path Modeling). In PLS Path Modeling, the specification of the relashonships between the unobservable concepts, knows as structural relationships, is the most important thing...

Selon la FAO (2014), la volaille s'est classée deuxième en termes de production de viande dans le monde de 2011 à 2014. En raison du court cycle de reproduction et de production des oiseaux, le retour rapide…

Selon la FAO (2014), la volaille s'est classée deuxième en termes de production de viande dans le monde de 2011 à 2014. En raison du court cycle de reproduction et de production des oiseaux, le retour rapide…

Selon la FAO (2014), la volaille s'est classée deuxième en termes de production de viande dans le monde de 2011 à 2014. En raison du court cycle de reproduction et de production des oiseaux, le retour rapide…

Selon la FAO (2014), la volaille s'est classée deuxième en termes de production de viande dans le monde de 2011 à 2014. En raison du court cycle de reproduction et de production des oiseaux, le retour rapide…

Selon la FAO (2014), la volaille s'est classée deuxième en termes de production de viande dans le monde de 2011 à 2014. En raison du court cycle de reproduction et de production des oiseaux, le retour rapide…

Selon la FAO (2014), la volaille s'est classée deuxième en termes de production de viande dans le monde de 2011 à 2014. En raison du court cycle de reproduction et de production des oiseaux, le retour rapide…

Avec le développement croissant des technologies logicielles, les vulnérabilités logicielles constituent un enjeu crucial pour la sécurité informatique. Compte tenu de leurs graves conséquences, de nombreuses approches ont été proposées ces dernières décennies pour atténuer les dommages causés par ces vulnérabilités. L'apprentissage automatique (machine learning) fait également partie d'une approche visant à résoudre ce problème. L'objectif principal de ce document est de fournir trois modèles supervisés permettant de prédire les vulnérabilités logicielles à partir d'un ensemble de 6 670 obser...

Avec le développement croissant des technologies logicielles, les vulnérabilités logicielles constituent un enjeu crucial pour la sécurité informatique. Compte tenu de leurs graves conséquences, de nombreuses approches ont été proposées ces dernières décennies pour atténuer les dommages causés par ces vulnérabilités. L'apprentissage automatique (machine learning) fait également partie d'une approche visant à résoudre ce problème. L'objectif principal de ce document est de fournir trois modèles supervisés permettant de prédire les vulnérabilités logicielles à partir d'un ensemble de 6 670 obser...

This study evaluates the chemical risks linked to pesticide residues in vegetables from Yopougon (Côte d'Ivoire) and the effectiveness of washing methods to reduce these contaminants. The context reveals alarming contamination due to the intensive use of pesticides in urban agriculture, threatening consumer health through acute and chronic effects. The general objective is to compare three washing methods: sodium hypochlorite (1%, 5 min), sodium bicarbonate (1%, 10 min in ice-cold water), and their combination (5 min), on samples of lettuce, tomato, cucumber, and pepper analyzed by HPLC accord...

This study evaluates the chemical risks linked to pesticide residues in vegetables from Yopougon (Côte d'Ivoire) and the effectiveness of washing methods to reduce these contaminants. The context reveals alarming contamination due to the intensive use of pesticides in urban agriculture, threatening consumer health through acute and chronic effects. The general objective is to compare three washing methods: sodium hypochlorite (1%, 5 min), sodium bicarbonate (1%, 10 min in ice-cold water), and their combination (5 min), on samples of lettuce, tomato, cucumber, and pepper analyzed by HPLC accord...

This study evaluates the chemical risks linked to pesticide residues in vegetables from Yopougon (Côte d'Ivoire) and the effectiveness of washing methods to reduce these contaminants. The context reveals alarming contamination due to the intensive use of pesticides in urban agriculture, threatening consumer health through acute and chronic effects. The general objective is to compare three washing methods: sodium hypochlorite (1%, 5 min), sodium bicarbonate (1%, 10 min in ice-cold water), and their combination (5 min), on samples of lettuce, tomato, cucumber, and pepper analyzed by HPLC accord...

This study evaluates the chemical risks linked to pesticide residues in vegetables from Yopougon (Côte d'Ivoire) and the effectiveness of washing methods to reduce these contaminants. The context reveals alarming contamination due to the intensive use of pesticides in urban agriculture, threatening consumer health through acute and chronic effects. The general objective is to compare three washing methods: sodium hypochlorite (1%, 5 min), sodium bicarbonate (1%, 10 min in ice-cold water), and their combination (5 min), on samples of lettuce, tomato, cucumber, and pepper analyzed by HPLC accord...

This study evaluates the chemical risks linked to pesticide residues in vegetables from Yopougon (Côte d'Ivoire) and the effectiveness of washing methods to reduce these contaminants. The context reveals alarming contamination due to the intensive use of pesticides in urban agriculture, threatening consumer health through acute and chronic effects. The general objective is to compare three washing methods: sodium hypochlorite (1%, 5 min), sodium bicarbonate (1%, 10 min in ice-cold water), and their combination (5 min), on samples of lettuce, tomato, cucumber, and pepper analyzed by HPLC accord...

Aims: Inadequate agricultural practices and poor hygiene among vegetable growers increase the risk of food contamination, compromising public health and degrading natural resources. This study evaluates the impact of different cleaning treatments (sodium bicarbonate, sodium hypochlorite, and their combination) on microbial contamination and the presence of heavy metals in vegetables (lettuce, tomatoes, cucumbers, peppers). Methodolgy: Samples of vegetables from various production sites in Yopougon Municipality were treated with sodium bicarbonate, sodium hypochlorite, or a combination of both....

Aims: Inadequate agricultural practices and poor hygiene among vegetable growers increase the risk of food contamination, compromising public health and degrading natural resources. This study evaluates the impact of different cleaning treatments (sodium bicarbonate, sodium hypochlorite, and their combination) on microbial contamination and the presence of heavy metals in vegetables (lettuce, tomatoes, cucumbers, peppers). Methodolgy: Samples of vegetables from various production sites in Yopougon Municipality were treated with sodium bicarbonate, sodium hypochlorite, or a combination of both....

Aims: Inadequate agricultural practices and poor hygiene among vegetable growers increase the risk of food contamination, compromising public health and degrading natural resources. This study evaluates the impact of different cleaning treatments (sodium bicarbonate, sodium hypochlorite, and their combination) on microbial contamination and the presence of heavy metals in vegetables (lettuce, tomatoes, cucumbers, peppers). Methodolgy: Samples of vegetables from various production sites in Yopougon Municipality were treated with sodium bicarbonate, sodium hypochlorite, or a combination of both....

Aims: Inadequate agricultural practices and poor hygiene among vegetable growers increase the risk of food contamination, compromising public health and degrading natural resources. This study evaluates the impact of different cleaning treatments (sodium bicarbonate, sodium hypochlorite, and their combination) on microbial contamination and the presence of heavy metals in vegetables (lettuce, tomatoes, cucumbers, peppers). Methodolgy: Samples of vegetables from various production sites in Yopougon Municipality were treated with sodium bicarbonate, sodium hypochlorite, or a combination of both....