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2021
Qutob N, Salah Z, Richard D, Darwish H, Sallam H, Shtayeh I, Najjar O, Ruzayqat M, Najjar D, Balloux F. Genomic epidemiology of the first epidemic wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Palestine. Microbial genomicsMicrobial genomics. 2021;7.
Qutob N, Salah Z, Richard D, Darwish H, Sallam H, Shtayeh I, Najjar O, Ruzayqat M, Najjar D, Balloux F. Genomic epidemiology of the first epidemic wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Palestine. Microbial genomicsMicrobial genomics. 2021;7.
Qutob N, Salah Z, Richard D, Darwish H, Sallam H, Shtayeh I, Najjar O, Ruzayqat M, Najjar D, Balloux F. Genomic epidemiology of the first epidemic wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Palestine. Microbial genomicsMicrobial genomics. 2021;7.
Qutob N, Salah Z, Richard D, Darwish H, Sallam H, Shtayeh I, Najjar O, Ruzayqat M, Najjar D, Balloux F. Genomic epidemiology of the first epidemic wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Palestine. Microbial genomicsMicrobial genomics. 2021;7.
Qutob N, Salah Z, Richard D, Darwish H, Sallam H, Shtayeh I, Najjar O, Ruzayqat M, Najjar D, Balloux F. Genomic epidemiology of the first epidemic wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Palestine. Microbial genomicsMicrobial genomics. 2021;7.
Qutob N, Salah Z, Richard D, Darwish H, Sallam H, Shtayeh I, Najjar O, Ruzayqat M, Najjar D, Balloux F. Genomic epidemiology of the first epidemic wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Palestine. Microbial genomicsMicrobial genomics. 2021;7.
Qutob N, Salah Z, Richard D, Darwish H, Sallam H, Shtayeh I, Najjar O, Ruzayqat M, Najjar D, Balloux F. Genomic epidemiology of the first epidemic wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Palestine. Microbial genomicsMicrobial genomics. 2021;7.
Gharpure R, Gleason M, Salah Z, Blackstock AJ, Hess-Homeier D, Yoder JS, Ali IKM, Collier SA, Cope JR. Geographic range of recreational water–associated primary amebic meningoencephalitis, United States, 1978–2018. Emerging infectious diseasesEmerging infectious diseases. 2021;27 :271.
Gharpure R, Gleason M, Salah Z, Blackstock AJ, Hess-Homeier D, Yoder JS, Ali IKM, Collier SA, Cope JR. Geographic range of recreational water–associated primary amebic meningoencephalitis, United States, 1978–2018. Emerging infectious diseasesEmerging infectious diseases. 2021;27 :271.
Gharpure R, Gleason M, Salah Z, Blackstock AJ, Hess-Homeier D, Yoder JS, Ali IKM, Collier SA, Cope JR. Geographic range of recreational water–associated primary amebic meningoencephalitis, United States, 1978–2018. Emerging infectious diseasesEmerging infectious diseases. 2021;27 :271.
Gharpure R, Gleason M, Salah Z, Blackstock AJ, Hess-Homeier D, Yoder JS, Ali IKM, Collier SA, Cope JR. Geographic range of recreational water–associated primary amebic meningoencephalitis, United States, 1978–2018. Emerging infectious diseasesEmerging infectious diseases. 2021;27 :271.
Gharpure R, Gleason M, Salah Z, Blackstock AJ, Hess-Homeier D, Yoder JS, Ali IKM, Collier SA, Cope JR. Geographic range of recreational water–associated primary amebic meningoencephalitis, United States, 1978–2018. Emerging infectious diseasesEmerging infectious diseases. 2021;27 :271.
Gharpure R, Gleason M, Salah Z, Blackstock AJ, Hess-Homeier D, Yoder JS, Ali IKM, Collier SA, Cope JR. Geographic range of recreational water–associated primary amebic meningoencephalitis, United States, 1978–2018. Emerging infectious diseasesEmerging infectious diseases. 2021;27 :271.
Gharpure R, Gleason M, Salah Z, Blackstock AJ, Hess-Homeier D, Yoder JS, Ali IKM, Collier SA, Cope JR. Geographic range of recreational water–associated primary amebic meningoencephalitis, United States, 1978–2018. Emerging infectious diseasesEmerging infectious diseases. 2021;27 :271.
Gharpure R, Gleason M, Salah Z, Blackstock AJ, Hess-Homeier D, Yoder JS, Ali IKM, Collier SA, Cope JR. Geographic range of recreational water–associated primary amebic meningoencephalitis, United States, 1978–2018. Emerging infectious diseasesEmerging infectious diseases. 2021;27 :271.
Gharpure R, Gleason M, Salah Z, Blackstock AJ, Hess-Homeier D, Yoder JS, Ali IKM, Collier SA, Cope JR. Geographic range of recreational water–associated primary amebic meningoencephalitis, United States, 1978–2018. Emerging infectious diseasesEmerging infectious diseases. 2021;27 :271.
Ferhati H, Djeffal F, Bendjerad A. Germanium–InGaZnO heterostructured thinfilm phototransistor with high IR photoresponse. SMACD/PRIME 2021; International Conference on SMACD and 16th Conference on PRIME [Internet]. 2021 :1-4. Publisher's VersionAbstract
In this paper, the role of introducing Germanium (Ge)/IGZO heterostructure in enhancing the Infrared (IR) photodetection properties of thin-film phototransistor (Photo- TFT) is presented. Numerical models for the investigated device are developed using ATLAS device simulator. The influence of Ge photosensitive layer thickness on the sensor IR photoresponse is carried out. It is revealed that the optimized IR Photo-TFT based on p-Ge/IGZO heterojunction can offer improved IR responsivity of 4.1×10(exp2) A/W, and over 10(exp6) of sensitivity. These improvements are attributed to the role of the introduced p-Ge/IGZO heterostructure in promoting IR photodetection ability and improved separation and transfer mechanisms of photo-exited electron/hole pairs. The photosensor is then implemented in an optical inverter gate circuit in order to assess its switching capabilities. It is found that the proposed phototransistor shows an improved optical gain thus indicating its excellent performance. Therefore, providing high IR responsivity and low dark noise effects, the optimized Ge/IGZO IR Photo-TFT can be a potential alternative photosensor for designing optoelectronic systems with high-performance and ultralow power consumption.
Ferhati H, Djeffal F, Bendjerad A. Germanium–InGaZnO heterostructured thinfilm phototransistor with high IR photoresponse. SMACD/PRIME 2021; International Conference on SMACD and 16th Conference on PRIME [Internet]. 2021 :1-4. Publisher's VersionAbstract
In this paper, the role of introducing Germanium (Ge)/IGZO heterostructure in enhancing the Infrared (IR) photodetection properties of thin-film phototransistor (Photo- TFT) is presented. Numerical models for the investigated device are developed using ATLAS device simulator. The influence of Ge photosensitive layer thickness on the sensor IR photoresponse is carried out. It is revealed that the optimized IR Photo-TFT based on p-Ge/IGZO heterojunction can offer improved IR responsivity of 4.1×10(exp2) A/W, and over 10(exp6) of sensitivity. These improvements are attributed to the role of the introduced p-Ge/IGZO heterostructure in promoting IR photodetection ability and improved separation and transfer mechanisms of photo-exited electron/hole pairs. The photosensor is then implemented in an optical inverter gate circuit in order to assess its switching capabilities. It is found that the proposed phototransistor shows an improved optical gain thus indicating its excellent performance. Therefore, providing high IR responsivity and low dark noise effects, the optimized Ge/IGZO IR Photo-TFT can be a potential alternative photosensor for designing optoelectronic systems with high-performance and ultralow power consumption.
Ferhati H, Djeffal F, Bendjerad A. Germanium–InGaZnO heterostructured thinfilm phototransistor with high IR photoresponse. SMACD/PRIME 2021; International Conference on SMACD and 16th Conference on PRIME [Internet]. 2021 :1-4. Publisher's VersionAbstract
In this paper, the role of introducing Germanium (Ge)/IGZO heterostructure in enhancing the Infrared (IR) photodetection properties of thin-film phototransistor (Photo- TFT) is presented. Numerical models for the investigated device are developed using ATLAS device simulator. The influence of Ge photosensitive layer thickness on the sensor IR photoresponse is carried out. It is revealed that the optimized IR Photo-TFT based on p-Ge/IGZO heterojunction can offer improved IR responsivity of 4.1×10(exp2) A/W, and over 10(exp6) of sensitivity. These improvements are attributed to the role of the introduced p-Ge/IGZO heterostructure in promoting IR photodetection ability and improved separation and transfer mechanisms of photo-exited electron/hole pairs. The photosensor is then implemented in an optical inverter gate circuit in order to assess its switching capabilities. It is found that the proposed phototransistor shows an improved optical gain thus indicating its excellent performance. Therefore, providing high IR responsivity and low dark noise effects, the optimized Ge/IGZO IR Photo-TFT can be a potential alternative photosensor for designing optoelectronic systems with high-performance and ultralow power consumption.
Chettouh S. Global and local sensitivity analysis of the Emission Dispersion Model input parameters. World Journal of Science, Technology and Sustainable Development [Internet]. 2021. Publisher's VersionAbstract

Purpose

The objectives of this paper are the application of sensitivity analysis (SA) methods in atmospheric dispersion modeling to the emission dispersion model (EDM) to study the prediction of atmospheric dispersion of NO2 generated by an industrial fire, whose results are useful for fire safety applications. The EDM is used to predict the level concentration of nitrogen dioxide (NO2) emitted by an industrial fire in a plant located in an industrial region site in Algeria.

Design/methodology/approach

The SA was defined for the following input parameters: wind speed, NO2 emission rate and viscosity and diffusivity coefficients by simulating the air quality impacts of fire on an industrial area. Two SA methods are used: a local SA by using a one at a time technique and a global SA, for which correlation analysis was conducted on the EDM using the standardized regression coefficient.

Findings

The study demonstrates that, under ordinary weather conditions and for the fields near to the fire, the NO2 initial concentration has the most influence on the predicted NO2 levels than any other model input. Whereas, for the far field, the initial concentration and the wind speed have the most impact on the NO2 concentration estimation.

Originality/value

The study shows that an effective decision-making process should not be only based on the mean values, but it should, in particular, consider the upper bound plume concentration.

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