Search

Your search keyword '"Minh Le, Ngoc"' showing total 23 results
Start Over Author "Minh Le, Ngoc"
23 results on '"Minh Le, Ngoc"'

5. Impact of land-acquisition induced resettlement policy on the ethnic household income in mountainous Vietnam

Author

Thanh, Nguyen Lam, Phong, Nguyen Anh, Phuc, Vu Huy, Ha, Pham Thi Thu, Linh, Nguyen Mai, Minh, Le Ngoc, and Quan, Nguyen Phung

Subjects
Accounting. Bookkeeping, HF5601-5689
Abstract

Land acquisition and resettlement issues related to hydropower and irrigation works have always been one of the hot issues in Vietnam mountainous areas for many years. Although the Government has introduced many policies to ensure the rights of resettled people, as well as protect their lives, the effectiveness of these policies seems to be still insignificant, because many resettled people still face many difficulties in their daily life, especially income. The research is conducted within the project titled “The urgent issues in resettlement implementation for the ethnic minorities in Vietnam mountainous areas” and funded by National Council for Science and Technology Policy in 2016-2020 (CTDT/16-20) under Committee for Ethnic Minority Affairs. Applying Likert-scale and Propensity Score Matching (PSM), this study shows that 34% of the resettled households have a lower income, specifically estimated to be 8.0 - 13.1 million VND/household/year or 1.7 - 3.0 million VND/person/year lower than the income of the controlled group. However, agricultural income is not significantly different between resettled households and controlled households. This article only focuses on clarifying the impact of the resettlement policy on the general income and agricultural income of ethnic minority households; while methods to create jobs, increase income, and reduce poverty sustainably for ethnic minority households in the resettlement sites should be conducted in another research in the future.

Published
2021
Full Text
View/download PDF

9. Pharmacist-Led Interventions to Reduce Drug-Related Problems in Prescribing for Pediatric Outpatients in a Developing Country: A Randomized Controlled Trial

Author

Nguyen, Phuong Minh, primary, Nguyen, Kien Trung, additional, Pham, Suol Thanh, additional, Thanh Le, Vy Tran, additional, Thi Le, Tu Cam, additional, Diep, Han Gia, additional, Minh Le, Ngoc Nguyen, additional, Vinh Ly, Hung Huynh, additional, Nhu Nguyen, Trang Thi, additional, Lam, Anh Nhut, additional, Nguyen, Thao Huong, additional, and Nguyen, Thang, additional

Published
2023
Full Text
View/download PDF

10. Superconductivity of nearly 2-D systems

Author

Khue, N. M., Minh, Le Ngoc, Lan, Tran Tri, and Nha, Do Huu

Subjects
Condensed Matter
Abstract

Effect of geometry on the superconductivity is considered. It is shown that the for nearly two dimensional BCS systems the critical temperature is rapidly increased with decreasing the thickness of the layer. The result is expected to be useful in the explanation of high-Tc conductivity of the ceramic compounds., Comment: Latex, figures available from authors upon request

Published
1995

11. Pharmacist-Led Interventions to Reduce Drug-Related Problems in Prescribing for Pediatric Outpatients in a Developing Country: A Randomized Controlled Trial

Author

Nguyen, Phuong Minh, Nguyen, Kien Trung, Pham, Suol Thanh, Thanh Le, Vy Tran, Thi Le, Tu Cam, Diep, Han Gia, Minh Le, Ngoc Nguyen, Vinh Ly, Hung Huynh, Nhu Nguyen, Trang Thi, Lam, Anh Nhut, Nguyen, Thao Huong, and Nguyen, Thang

Subjects
Research
Abstract

OBJECTIVE: To evaluate a pharmacist-led intervention's effectiveness in reducing drug-related problems (DRPs ( related to prescriptions for pediatric outpatients. METHODS: We conducted a randomized controlled trial. We recruited and randomly assigned 31 physicians to control or intervention groups. We collected 775 prescriptions (375 from the control group and 400 from the intervention group) at the start. For 3 weeks, intervention physicians received additional information and meetings with pharmacists in addition to the usual practices of the hospital. We then collected prescriptions at the end of the study. We classified DRPs, based on reliable references (Supplemental Table S1) at baseline and endpoint (a week after the intervention). The primary outcome was the proportion of prescriptions with DRPs, and secondary outcomes were the proportions of prescriptions with specific DRP types. RESULTS: The influence of the intervention on general DRPs and specific DRPs was the study's main finding. The pharmacist-led intervention helped reduce the prescriptions with DRPs proportion in the intervention group to 41.0%, compared with 49.3% in the control group (p < 0.05). The DRPs proportion related to the timing of administration relative to meals, unlike the other DRP types, increased in the control group (from 31.7% to 34.9%) and decreased in the intervention group (from 31.3% to 25.3%), with a significant difference between the 2 groups at endpoint (p < 0.01). Patients aged >2 to ≤6 years (OR, 1.871; 95% CI, 1.340–2.613) and receiving ≥5 drugs (OR, 5.037; 95% CI, 2.472–10.261) were at greater risk of experiencing DRPs related to prescribing. CONCLUSIONS: A pharmacist-led intervention improved DRP occurrence related to physicians' prescribing. Pharmacists could be involved in in-depth research with physicians in the prescribing process to provide tailored interventions.

Published
2023

12. Genotype-phenotype correlations in SCN8A-related disorders reveal prognostic and therapeutic implications

Author

Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center], BMBF, Treat-ION, 01GM1907 [sponsor], Johannesen, Katrine M., Liu, Yuanyuan, Koko, Mahmoud, Gjerulfsen, Cathrine E., Sonnenberg, Lukas, Schubert, Julian, Fenger, Christina D., Eltokhi, Ahmed, Rannap, Maert, Koch, Nils A., Lauxmann, Stephan, Krüger, Johanna, Kegele, Josua, Canafoglia, Laura, Franceschetti, Silvana, Mayer, Thomas, Rebstock, Johannes, Zacher, Pia, Ruf, Susanne, Alber, Michael, Sterbova, Katalin, Lassuthová, Petra, Vlckova, Marketa, Lemke, Johannes R., Platzer, Konrad, Krey, Ilona, Heine, Constanze, Wieczorek, Dagmar, Kroell-Seger, Judith, Lund, Caroline, Klein, Karl Martin, Billie Au, P. Y., Rho, Jong M., Ho, Alice W., Masnada, Silvia, Veggiotti, Pierangelo, Giordano, Lucio, Accorsi, Patrizia, Hoei-Hansen, Christina E., Striano, Pasquale, Zara, Federico, Verhelst, Helene, Verhoeven, Judith S., van der Zwaag, Bert, Harder, Aster V. E., Brilstra, Eva, Pendziwiat, Manuela, Lebon, Sebastian, Vaccarezza, Maria, Minh Le, Ngoc, Christensen, Jakob, Grønborg, Sabine, Scherer, Stephen W., Howe, Jennifer, Fazeli, Walid, Howell, Katherine B., Leventer, Richard, Stutterd, Chloe, Walsh, Sonja, Gerard, Marion, Gerard, Bénédicte, Matricardi, Sara, Bonardi, Claudia M., Sartori, Stefano, Berger, Andrea, Hoffman-Zacharska, Dorota, Mastrangelo, Massimo, Darra, Francesca, Vøllo, Arve, Motazacker, M. Mahdi, Lakeman, Phillis, Nizon, Mathilde, Betzler, Cornelia, Altuzarra, Cecilia, Caume, Roseline, Roubertie, Agathe, Gélisse, Philippe, Marini, Carla, Guerrini, Renzo, Bilan, Frederic, Tibussek, Daniel, Koch-Hogrebe, Margarete, Perry, M. Scott, Ichikawa, Shoji, Dadali, Elena, Sharkov, Artem, Mishina, Irina, Abramov, Mikhail, Kanivets, Ilya, Korostelev, Sergey, Kutsev, Sergey, Wain, Karen E., Eisenhauer, Nancy, Wagner, Monisa, Savatt, Juliann M., Müller-Schlüter, Karen, Bassan, Haim, Borovikov, Artem, Nassogne, Marie-Cecile, Destrée, Anne, Schoonjans, An-Sofie, Meuwissen, Marije, Buzatu, Marga, Jansen, Anna, Scalais, Emmanuel, Srivastava, Siddharth, Tan, Wen-Hann, Olson, Heather E., Loddenkemper, Tobias, Poduri, Annapurna, Helbig, Katherine L., Helbig, Ingo, Fitzgerald, Mark P., Goldberg, Ethan M., Roser, Timo, Borggraefe, Ingo, Brünger, Tobias, May, Patrick, Lal, Dennis, Lederer, Damien, Rubboli, Guido, Heyne, Henrike O., Lesca, Gaetan, Hedrich, Ulrike B. S., Benda, Jan, Gardella, Elena, Lerche, Holger, Møller, Rikke S., Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center], BMBF, Treat-ION, 01GM1907 [sponsor], Johannesen, Katrine M., Liu, Yuanyuan, Koko, Mahmoud, Gjerulfsen, Cathrine E., Sonnenberg, Lukas, Schubert, Julian, Fenger, Christina D., Eltokhi, Ahmed, Rannap, Maert, Koch, Nils A., Lauxmann, Stephan, Krüger, Johanna, Kegele, Josua, Canafoglia, Laura, Franceschetti, Silvana, Mayer, Thomas, Rebstock, Johannes, Zacher, Pia, Ruf, Susanne, Alber, Michael, Sterbova, Katalin, Lassuthová, Petra, Vlckova, Marketa, Lemke, Johannes R., Platzer, Konrad, Krey, Ilona, Heine, Constanze, Wieczorek, Dagmar, Kroell-Seger, Judith, Lund, Caroline, Klein, Karl Martin, Billie Au, P. Y., Rho, Jong M., Ho, Alice W., Masnada, Silvia, Veggiotti, Pierangelo, Giordano, Lucio, Accorsi, Patrizia, Hoei-Hansen, Christina E., Striano, Pasquale, Zara, Federico, Verhelst, Helene, Verhoeven, Judith S., van der Zwaag, Bert, Harder, Aster V. E., Brilstra, Eva, Pendziwiat, Manuela, Lebon, Sebastian, Vaccarezza, Maria, Minh Le, Ngoc, Christensen, Jakob, Grønborg, Sabine, Scherer, Stephen W., Howe, Jennifer, Fazeli, Walid, Howell, Katherine B., Leventer, Richard, Stutterd, Chloe, Walsh, Sonja, Gerard, Marion, Gerard, Bénédicte, Matricardi, Sara, Bonardi, Claudia M., Sartori, Stefano, Berger, Andrea, Hoffman-Zacharska, Dorota, Mastrangelo, Massimo, Darra, Francesca, Vøllo, Arve, Motazacker, M. Mahdi, Lakeman, Phillis, Nizon, Mathilde, Betzler, Cornelia, Altuzarra, Cecilia, Caume, Roseline, Roubertie, Agathe, Gélisse, Philippe, Marini, Carla, Guerrini, Renzo, Bilan, Frederic, Tibussek, Daniel, Koch-Hogrebe, Margarete, Perry, M. Scott, Ichikawa, Shoji, Dadali, Elena, Sharkov, Artem, Mishina, Irina, Abramov, Mikhail, Kanivets, Ilya, Korostelev, Sergey, Kutsev, Sergey, Wain, Karen E., Eisenhauer, Nancy, Wagner, Monisa, Savatt, Juliann M., Müller-Schlüter, Karen, Bassan, Haim, Borovikov, Artem, Nassogne, Marie-Cecile, Destrée, Anne, Schoonjans, An-Sofie, Meuwissen, Marije, Buzatu, Marga, Jansen, Anna, Scalais, Emmanuel, Srivastava, Siddharth, Tan, Wen-Hann, Olson, Heather E., Loddenkemper, Tobias, Poduri, Annapurna, Helbig, Katherine L., Helbig, Ingo, Fitzgerald, Mark P., Goldberg, Ethan M., Roser, Timo, Borggraefe, Ingo, Brünger, Tobias, May, Patrick, Lal, Dennis, Lederer, Damien, Rubboli, Guido, Heyne, Henrike O., Lesca, Gaetan, Hedrich, Ulrike B. S., Benda, Jan, Gardella, Elena, Lerche, Holger, and Møller, Rikke S.

Abstract

We report detailed functional analyses and genotype-phenotype correlations in 392 individuals carrying disease-causing variants in SCN8A, encoding the voltage-gated Na+ channel NaV1.6, with the aim of describing clinical phenotypes related to functional effects. Six different clinical subgroups could be identified: 1) Benign familial infantile epilepsy (BFIE) (n = 15, normal cognition, treatable seizures), 2) intermediate epilepsy (n = 33, mild ID, partially pharmaco-responsive), 3) developmental and epileptic encephalopathy (DEE, n = 177, severe ID, majority pharmaco-resistant), 4) generalized epilepsy (n = 20, mild to moderate ID, frequently with absence seizures), 5) unclassifiable epilepsy (n = 127), and 6) neurodevelopmental disorder without epilepsy (n = 20, mild to moderate ID). Groups 1–3 presented with focal or multifocal seizures (median age of onset: four months) and focal epileptiform discharges, whereas the onset of seizures in group 4 was later (median: 42 months) with generalized epileptiform discharges. We performed functional studies expressing missense variants in ND7/23 neuroblastoma cells and primary neuronal cultures using recombinant tetrodotoxin-insensitive human NaV1.6 channels and whole-cell patch-clamping. Two variants causing DEE showed a strong gain-of-function (GOF, hyperpolarising shift of steady-state activation, strongly increased neuronal firing rate), and one variant causing BFIE or intermediate epilepsy showed a mild GOF (defective fast inactivation, less increased firing). In contrast, all three variants causing generalized epilepsy induced a loss-of-function (LOF, reduced current amplitudes, depolarising shift of steady-state activation, reduced neuronal firing). Including previous studies, functional effects were known for 170 individuals. All 136 individuals carrying a functionally tested GOF variant had either focal (97, groups 1–3), or unclassifiable epilepsy (39), whereas 34 with a LOF variant had either generalized (14), no

Published
2022

13. Genotype-phenotype correlations in SCN8A-related disorders reveal prognostic and therapeutic implications

Author

Genetica Sectie Genoomdiagnostiek, Child Health, Genetica Klinische Genetica, Brain, Johannesen, Katrine M, Liu, Yuanyuan, Koko, Mahmoud, Gjerulfsen, Cathrine E, Sonnenberg, Lukas, Schubert, Julian, Fenger, Christina D, Eltokhi, Ahmed, Rannap, Maert, Koch, Nils A, Lauxmann, Stephan, Krüger, Johanna, Kegele, Josua, Canafoglia, Laura, Franceschetti, Silvana, Mayer, Thomas, Rebstock, Johannes, Zacher, Pia, Ruf, Susanne, Alber, Michael, Sterbova, Katalin, Lassuthová, Petra, Vlckova, Marketa, Lemke, Johannes R, Platzer, Konrad, Krey, Ilona, Heine, Constanze, Wieczorek, Dagmar, Kroell-Seger, Judith, Lund, Caroline, Klein, Karl Martin, Billie Au, P Y, Rho, Jong M, Ho, Alice W, Masnada, Silvia, Veggiotti, Pierangelo, Giordano, Lucio, Accorsi, Patrizia, Hoei-Hansen, Christina E, Striano, Pasquale, Zara, Federico, Verhelst, Helene, Verhoeven, Judith S, van der Zwaag, Bert, Harder, Aster V E, Brilstra, Eva, Pendziwiat, Manuela, Lebon, Sebastian, Vaccarezza, Maria, Minh Le, Ngoc, Christensen, Jakob, Grønborg, Sabine, Scherer, Stephen W, Howe, Jennifer, Fazeli, Walid, Howell, Katherine B, Leventer, Richard, Stutterd, Chloe, Walsh, Sonja, Gerard, Marion, Gerard, Bénédicte, Matricardi, Sara, Bonardi, Claudia M, Sartori, Stefano, Berger, Andrea, Hoffman-Zacharska, Dorota, Mastrangelo, Massimo, Darra, Francesca, Vøllo, Arve, Motazacker, M Mahdi, Lakeman, Phillis, Nizon, Mathilde, Betzler, Cornelia, Altuzarra, Cecilia, Caume, Roseline, Roubertie, Agathe, Gélisse, Philippe, Marini, Carla, Guerrini, Renzo, Bilan, Frederic, Tibussek, Daniel, Koch-Hogrebe, Margarete, Perry, M Scott, Ichikawa, Shoji, Dadali, Elena, Sharkov, Artem, Mishina, Irina, Abramov, Mikhail, Kanivets, Ilya, Korostelev, Sergey, Kutsev, Sergey, Wain, Karen E, Eisenhauer, Nancy, Wagner, Monisa, Savatt, Juliann M, Müller-Schlüter, Karen, Bassan, Haim, Borovikov, Artem, Nassogne, Marie-Cecile, Destrée, Anne, Schoonjans, An-Sofie, Meuwissen, Marije, Buzatu, Marga, Jansen, Anna, Scalais, Emmanuel, Srivastava, Siddharth, Tan, Wen-Hann, Olson, Heather E, Loddenkemper, Tobias, Poduri, Annapurna, Helbig, Katherine L, Helbig, Ingo, Fitzgerald, Mark P, Goldberg, Ethan M, Roser, Timo, Borggraefe, Ingo, Brünger, Tobias, May, Patrick, Lal, Dennis, Lederer, Damien, Rubboli, Guido, Heyne, Henrike O, Lesca, Gaetan, Hedrich, Ulrike B S, Benda, Jan, Gardella, Elena, Lerche, Holger, Møller, Rikke S, Genetica Sectie Genoomdiagnostiek, Child Health, Genetica Klinische Genetica, Brain, Johannesen, Katrine M, Liu, Yuanyuan, Koko, Mahmoud, Gjerulfsen, Cathrine E, Sonnenberg, Lukas, Schubert, Julian, Fenger, Christina D, Eltokhi, Ahmed, Rannap, Maert, Koch, Nils A, Lauxmann, Stephan, Krüger, Johanna, Kegele, Josua, Canafoglia, Laura, Franceschetti, Silvana, Mayer, Thomas, Rebstock, Johannes, Zacher, Pia, Ruf, Susanne, Alber, Michael, Sterbova, Katalin, Lassuthová, Petra, Vlckova, Marketa, Lemke, Johannes R, Platzer, Konrad, Krey, Ilona, Heine, Constanze, Wieczorek, Dagmar, Kroell-Seger, Judith, Lund, Caroline, Klein, Karl Martin, Billie Au, P Y, Rho, Jong M, Ho, Alice W, Masnada, Silvia, Veggiotti, Pierangelo, Giordano, Lucio, Accorsi, Patrizia, Hoei-Hansen, Christina E, Striano, Pasquale, Zara, Federico, Verhelst, Helene, Verhoeven, Judith S, van der Zwaag, Bert, Harder, Aster V E, Brilstra, Eva, Pendziwiat, Manuela, Lebon, Sebastian, Vaccarezza, Maria, Minh Le, Ngoc, Christensen, Jakob, Grønborg, Sabine, Scherer, Stephen W, Howe, Jennifer, Fazeli, Walid, Howell, Katherine B, Leventer, Richard, Stutterd, Chloe, Walsh, Sonja, Gerard, Marion, Gerard, Bénédicte, Matricardi, Sara, Bonardi, Claudia M, Sartori, Stefano, Berger, Andrea, Hoffman-Zacharska, Dorota, Mastrangelo, Massimo, Darra, Francesca, Vøllo, Arve, Motazacker, M Mahdi, Lakeman, Phillis, Nizon, Mathilde, Betzler, Cornelia, Altuzarra, Cecilia, Caume, Roseline, Roubertie, Agathe, Gélisse, Philippe, Marini, Carla, Guerrini, Renzo, Bilan, Frederic, Tibussek, Daniel, Koch-Hogrebe, Margarete, Perry, M Scott, Ichikawa, Shoji, Dadali, Elena, Sharkov, Artem, Mishina, Irina, Abramov, Mikhail, Kanivets, Ilya, Korostelev, Sergey, Kutsev, Sergey, Wain, Karen E, Eisenhauer, Nancy, Wagner, Monisa, Savatt, Juliann M, Müller-Schlüter, Karen, Bassan, Haim, Borovikov, Artem, Nassogne, Marie-Cecile, Destrée, Anne, Schoonjans, An-Sofie, Meuwissen, Marije, Buzatu, Marga, Jansen, Anna, Scalais, Emmanuel, Srivastava, Siddharth, Tan, Wen-Hann, Olson, Heather E, Loddenkemper, Tobias, Poduri, Annapurna, Helbig, Katherine L, Helbig, Ingo, Fitzgerald, Mark P, Goldberg, Ethan M, Roser, Timo, Borggraefe, Ingo, Brünger, Tobias, May, Patrick, Lal, Dennis, Lederer, Damien, Rubboli, Guido, Heyne, Henrike O, Lesca, Gaetan, Hedrich, Ulrike B S, Benda, Jan, Gardella, Elena, Lerche, Holger, and Møller, Rikke S

Published
2022

22. Optimization by Simulation of an Environmental Surveillance Network : application to the Fight against Rice Pests in the Mekong Delta (Vietnam)

Author

Truong Xuan, Viet, Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO), Université Cadi Ayyad [Marrakech] (UCA)-Université de Yaoundé I-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Institut de la francophonie pour l'informatique-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Pierre et Marie Curie - Paris VI, Institut Polytechnique (Ho Chi Minh-Ville, Vietnam), Alexis Drogoul, Minh Le Ngoc, STAR, ABES, and Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université de Yaoundé I-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA)

Subjects
Technique d'optimisation, Modèle à base d'agents, Réseau de surveillance, Variance de krigeage, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Surveillance network, Géostatistique, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Simulation
Abstract

An efficient surveillance network is an invaluable tool to monitor and assess the different states of a given ecosystem. With the information collected by such a network, predictions can be generated using thorough spatio-temporal analyses, which can then support decision makers and stakeholders. Human dominated ecosystems are highly dynamic and complex , where most of the observed variables have mutual non-linear interactions. In addition, the human activities have a considerable impact on almost all ecosystems they inhabit, where they tend to disrupt the ecological balance in short period of times. The surveillance of such ecosystems by different technical solutions is complex and dynamic where designing an “optimal” surveillance network, i.e., a network that would reflect an almost realtime situation of an ecosystem. Often traditional optimization techniques fail to reflect the evolutions of the reality associated with these ecosystems.An example of such a situation, is the Mekong Delta region of Vietnam, where the provincial agricultural managers are concerned with the regular invasions of Brown Plant Hoppers (BPH), a particularly active rice pest, because of the diseases they carry and transmit to the rice yields. Their biggest concern is having a constantly accurate account of the current distribution of BPH waves, since it is the basis of establishing different prevention strategies. The time frame is short for applying these strategies: at least one week is needed between the moment where a prediction of the density of BPH can be estimated by the experts and warnings are sent to farmers and other end users and the moment where a strategy can be efficiently applied. To improve the efficiency of the system, the Vietnamese government has established a light-trap network [1] [2] that can capture multiple kinds of insects, especially BPH, and which data (the density of insects per trap) is collected and analyzed daily. Maintaining this network in a good state of operation has become an important national program of the Ministry of Agriculture and Rural Development of Vietnam since 2006. Although the current light-trap network is considered as a necessity for supporting the fight against various plant pests, it has three restrictions: (1) it misses detailed accounts on the life cycle of the BPH, (2) the network has remained stable since its initial design and has not, therefore, completely adapted to the huge changes that the ecosystem of the Mekong Delta has undergone in the recent years especially due to limitations in management, and (3) the network itself is very sparsely distributed., Un réseau de surveillance efficace est souvent un outil utile pour surveiller et évaluer les différents états d'un écosystème spécifique. Avec les informations fournies par le réseau, les prédictions peuvent être générés en utilisant des analyses spatio-temporelles approfondies, qui peuvent ensuite aider les décideurs et les parties prenantes. Écosystèmes dominés par les humains sont très dynamique et complexe, où la plupart des variables observées ont des interactions non-linéaires mutuelles. En outre, les impacts des activités humaines sur l'écosystème sont souvent rugueux, dans de nombreux cas, ils perturbent l'équilibre écologique. Par conséquent, la surveillance d'un écosystème devient un problème complexe et il n'est pas facile de proposer un réseau de surveillance optimal en utilisant les techniques traditionnelles. Les techniques d'optimisation traditionnelles ne parviennent pas souvent à tenir compte des évolutions de la réalité associée à ces écosystèmes.Un exemple d'une telle situation se trouve à la région du delta du Mékong du Vietnam, où les gestionnaires provinciaux de l'agriculture sont concernés par les invasions régulières des cicadelles brunes (Brown Plant Hoppers - BPH), un ravageur du riz particulièrement active, à cause des maladies qu'ils véhiculent et transmettent à la les rendements de riz.

Published
2014

23. Comparison of electron scattering by acoustic-phonons in two types of quantum wells with GaAs and GaN materials.

Author

Phong TC, Minh LN, and Hien ND

Abstract

In this work, we report a detailed comparison of electron-acoustic-phonon (EAP) interaction strength in symmetric (parabolic) and asymmetric (semi-parabolic) quantum-wells (QWs) for both GaAs and GaN materials. The operator projection method will be utilized to calculate the acoustic-phonon-assisted cyclotron resonance (CR) absorption power. The EAP interaction strength is determined by measuring the full width at half maximum (FWHM) of the acoustic-phonon-assisted CR absorption peak based on the profile of the curve describing the dependence of the acoustic-phonon-assisted CR absorption power on the photon energy. The studied result reveals that the EAP interaction strengths in the symmetric and asymmetric QWs are functions of the electron temperature (ET), external magnetic field (EMF), and confined potential frequency (CPF). Namely, the larger the ET, the EMF, and the CPF, the stronger the EAP interaction strengths in the symmetric and asymmetric QWs are for both GaN and GaAs materials. More importantly, the obtained result demonstrates that under the influence of the structural (CPF) and external (ET and EMF) parameters, the EAP interaction strength in the symmetric QW is always much stronger than that in the asymmetric QW for both GaN and GaAs materials. Simultaneously, the EAP interaction strength in the GaN material is much stronger than that in the GaAs material for both the symmetric and asymmetric QWs., Competing Interests: There are no conflicts to declare., (This journal is © The Royal Society of Chemistry.)

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results