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The dataset on rural women's awareness and attitudes about residential constructions in accordance with the health standards A case study of Gilan-e-Gharb, Iran.

Data in brief

Safari Y, Yoosefpour N, Darvishmotavalli M, Vasseghian Y, Karimyan K, Gupta VK, Nasri O, Ziapour A.
PMID: 30211265
Data Brief. 2018 Aug 29;20:715-722. doi: 10.1016/j.dib.2018.08.078. eCollection 2018 Oct.

Residence can affect various aspects of one׳s physical, psychological and social health. Therefore, the present dataset aimed to assess the level of rural housewives' awareness and attitudes towards the importance of residence and its compliance with health standards. To...

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Safari Y, Yoosefpour N, Darvishmotavalli M, et al. The dataset on rural women's awareness and attitudes about residential constructions in accordance with the health standards A case study of Gilan-e-Gharb, Iran. Data Brief. 2018;20:715-722doi: 10.1016/j.dib.2018.08.078.
Safari, Y., Yoosefpour, N., Darvishmotavalli, M., Vasseghian, Y., Karimyan, K., Gupta, V. K., Nasri, O., & Ziapour, A. (2018). The dataset on rural women's awareness and attitudes about residential constructions in accordance with the health standards A case study of Gilan-e-Gharb, Iran. Data in brief, 20715-722. https://doi.org/10.1016/j.dib.2018.08.078
Safari, Yaya, et al. "The dataset on rural women's awareness and attitudes about residential constructions in accordance with the health standards A case study of Gilan-e-Gharb, Iran." Data in brief vol. 20 (2018): 715-722. doi: https://doi.org/10.1016/j.dib.2018.08.078
Safari Y, Yoosefpour N, Darvishmotavalli M, Vasseghian Y, Karimyan K, Gupta VK, Nasri O, Ziapour A. The dataset on rural women's awareness and attitudes about residential constructions in accordance with the health standards A case study of Gilan-e-Gharb, Iran. Data Brief. 2018 Aug 29;20:715-722. doi: 10.1016/j.dib.2018.08.078. eCollection 2018 Oct. PMID: 30211265; PMCID: PMC6129694.
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Data for efficiency comparison of raw pumice and manganese-modified pumice for removal phenol from aqueous environments-Application of response surface methodology.

Data in brief

Heydari M, Karimyan K, Darvishmotevalli M, Karami A, Vasseghian Y, Azizi N, Ghayebzadeh M, Moradi M.
PMID: 30294648
Data Brief. 2018 Sep 14;20:1942-1954. doi: 10.1016/j.dib.2018.09.027. eCollection 2018 Oct.

Present deadest collection was aimed to evaluate the efficiency of raw pumice (RWP) and Mn-modified pumice (MMP). Response surface methodology (RSM) based on the central composite designs (CCD) was applied to evaluate the effects of independent variables including pH,...

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Heydari M, Karimyan K, Darvishmotevalli M, et al. Data for efficiency comparison of raw pumice and manganese-modified pumice for removal phenol from aqueous environments-Application of response surface methodology. Data Brief. 2018;20:1942-1954doi: 10.1016/j.dib.2018.09.027.
Heydari, M., Karimyan, K., Darvishmotevalli, M., Karami, A., Vasseghian, Y., Azizi, N., Ghayebzadeh, M., & Moradi, M. (2018). Data for efficiency comparison of raw pumice and manganese-modified pumice for removal phenol from aqueous environments-Application of response surface methodology. Data in brief, 201942-1954. https://doi.org/10.1016/j.dib.2018.09.027
Heydari, Maryam, et al. "Data for efficiency comparison of raw pumice and manganese-modified pumice for removal phenol from aqueous environments-Application of response surface methodology." Data in brief vol. 20 (2018): 1942-1954. doi: https://doi.org/10.1016/j.dib.2018.09.027
Heydari M, Karimyan K, Darvishmotevalli M, Karami A, Vasseghian Y, Azizi N, Ghayebzadeh M, Moradi M. Data for efficiency comparison of raw pumice and manganese-modified pumice for removal phenol from aqueous environments-Application of response surface methodology. Data Brief. 2018 Sep 14;20:1942-1954. doi: 10.1016/j.dib.2018.09.027. eCollection 2018 Oct. PMID: 30294648; PMCID: PMC6171169.
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Modeling the Interfacial Tension of Water-Based Binary and Ternary Systems at High Pressures Using a Neuro-Evolutive Technique.

ACS omega

Vasseghian Y, Bahadori A, Khataee A, Dragoi EN, Moradi M.
PMID: 31956829
ACS Omega. 2019 Dec 24;5(1):781-790. doi: 10.1021/acsomega.9b03518. eCollection 2020 Jan 14.

In this study, artificial neural networks (ANNs) determined by a neuro-evolutionary approach combining differential evolution (DE) and clonal selection (CS) are applied for estimating interfacial tension (IFT) in water-based binary and ternary systems at high pressures. To develop the...

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Vasseghian Y, Bahadori A, Khataee A, et al. Modeling the Interfacial Tension of Water-Based Binary and Ternary Systems at High Pressures Using a Neuro-Evolutive Technique. ACS Omega. 2019;5(1):781-790doi: 10.1021/acsomega.9b03518.
Vasseghian, Y., Bahadori, A., Khataee, A., Dragoi, E. N., & Moradi, M. (2020). Modeling the Interfacial Tension of Water-Based Binary and Ternary Systems at High Pressures Using a Neuro-Evolutive Technique. ACS omega, 5(1), 781-790. https://doi.org/10.1021/acsomega.9b03518
Vasseghian, Yasser, et al. "Modeling the Interfacial Tension of Water-Based Binary and Ternary Systems at High Pressures Using a Neuro-Evolutive Technique." ACS omega vol. 5,1 (2020): 781-790. doi: https://doi.org/10.1021/acsomega.9b03518
Vasseghian Y, Bahadori A, Khataee A, Dragoi EN, Moradi M. Modeling the Interfacial Tension of Water-Based Binary and Ternary Systems at High Pressures Using a Neuro-Evolutive Technique. ACS Omega. 2019 Dec 24;5(1):781-790. doi: 10.1021/acsomega.9b03518. eCollection 2020 Jan 14. PMID: 31956829; PMCID: PMC6964515.
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Recent advances in MXene-based nanomaterials for desalination at water interfaces.

Environmental research

Berkani M, Smaali A, Almomani F, Vasseghian Y.
PMID: 34384753
Environ Res. 2022 Jan;203:111845. doi: 10.1016/j.envres.2021.111845. Epub 2021 Aug 10.

The best exceptional Physico-chemical attributes of MXenes including high conductivity, high surface area, high functionalization, hydroxide site, and other interesting properties have attracted recently the attention of scientists in the applications of MXene (M

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Berkani M, Smaali A, Almomani F, et al. Recent advances in MXene-based nanomaterials for desalination at water interfaces. Environ Res. 2021;203:111845doi: 10.1016/j.envres.2021.111845.
Berkani, M., Smaali, A., Almomani, F., & Vasseghian, Y. (2022). Recent advances in MXene-based nanomaterials for desalination at water interfaces. Environmental research, 203111845. https://doi.org/10.1016/j.envres.2021.111845
Berkani, Mohammed, et al. "Recent advances in MXene-based nanomaterials for desalination at water interfaces." Environmental research vol. 203 (2022): 111845. doi: https://doi.org/10.1016/j.envres.2021.111845
Berkani M, Smaali A, Almomani F, Vasseghian Y. Recent advances in MXene-based nanomaterials for desalination at water interfaces. Environ Res. 2022 Jan;203:111845. doi: 10.1016/j.envres.2021.111845. Epub 2021 Aug 10. PMID: 34384753.
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New emerging techniques for detection and degradation of hazardous materials in environments: Challenges and perspectives.

Chemosphere

Vasseghian Y, Mousavi Khaneghah A, Khataee A.
PMID: 34325253
Chemosphere. 2022 Jan;286:131589. doi: 10.1016/j.chemosphere.2021.131589. Epub 2021 Jul 20.

No abstract available.

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Vasseghian Y, Mousavi Khaneghah A, Khataee A. New emerging techniques for detection and degradation of hazardous materials in environments: Challenges and perspectives. Chemosphere. 2021;286:131589doi: 10.1016/j.chemosphere.2021.131589.
Vasseghian, Y., Mousavi Khaneghah, A., & Khataee, A. (2022). New emerging techniques for detection and degradation of hazardous materials in environments: Challenges and perspectives. Chemosphere, 286131589. https://doi.org/10.1016/j.chemosphere.2021.131589
Vasseghian, Yasser, et al. "New emerging techniques for detection and degradation of hazardous materials in environments: Challenges and perspectives." Chemosphere vol. 286 (2022): 131589. doi: https://doi.org/10.1016/j.chemosphere.2021.131589
Vasseghian Y, Mousavi Khaneghah A, Khataee A. New emerging techniques for detection and degradation of hazardous materials in environments: Challenges and perspectives. Chemosphere. 2022 Jan;286:131589. doi: 10.1016/j.chemosphere.2021.131589. Epub 2021 Jul 20. PMID: 34325253.
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A global systematic review of the concentrations of Malathion in water matrices: Meta-analysis, and probabilistic risk assessment.

Chemosphere

Vasseghian Y, Dragoi EN, Almomani F, Golzadeh N, Vo DN.
PMID: 34742763
Chemosphere. 2021 Nov 03;132789. doi: 10.1016/j.chemosphere.2021.132789. Epub 2021 Nov 03.

Pesticide applications and the proximity of land use to water matrices have resulted in discharges of pollutants including Malathion -one of the most widely used organophosphorus pesticides- to water resources such as marine, freshwater, and under groundwater. Exposure to...

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Vasseghian Y, Dragoi EN, Almomani F, et al. A global systematic review of the concentrations of Malathion in water matrices: Meta-analysis, and probabilistic risk assessment. Chemosphere. 2021;132789doi: 10.1016/j.chemosphere.2021.132789.
Vasseghian, Y., Dragoi, E. N., Almomani, F., Golzadeh, N., & Vo, D. N. (2021). A global systematic review of the concentrations of Malathion in water matrices: Meta-analysis, and probabilistic risk assessment. Chemosphere, 132789. https://doi.org/10.1016/j.chemosphere.2021.132789
Vasseghian, Yasser, et al. "A global systematic review of the concentrations of Malathion in water matrices: Meta-analysis, and probabilistic risk assessment." Chemosphere vol. (2021): 132789. doi: https://doi.org/10.1016/j.chemosphere.2021.132789
Vasseghian Y, Dragoi EN, Almomani F, Golzadeh N, Vo DN. A global systematic review of the concentrations of Malathion in water matrices: Meta-analysis, and probabilistic risk assessment. Chemosphere. 2021 Nov 03;132789. doi: 10.1016/j.chemosphere.2021.132789. Epub 2021 Nov 03. PMID: 34742763.
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Experimental and computational investigation of a green Knoevenagel condensation catalyzed by zeolitic imidazolate framework-8.

Environmental research

Anh Tran V, Nhu Quynh LT, Thi Vo TT, Nguyen PA, Don TN, Vasseghian Y, Phan H, Lee SW.
PMID: 34767819
Environ Res. 2022 Mar;204:112364. doi: 10.1016/j.envres.2021.112364. Epub 2021 Nov 09.

ZIF-8 is a highly porous, stable, and abundant surface area material that can be used as an environmentally friendly catalyst for Knoevenagel condensations. The effects of the ratio of the reactants (benzaldehyde (BA):ethyl cyanoacetate (ECA)), reaction temperature, and catalyst...

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Anh Tran V, Nhu Quynh LT, Thi Vo TT, et al. Experimental and computational investigation of a green Knoevenagel condensation catalyzed by zeolitic imidazolate framework-8. Environ Res. 2021;204:112364doi: 10.1016/j.envres.2021.112364.
Anh Tran, V., Nhu Quynh, L. T., Thi Vo, T. T., Nguyen, P. A., Don, T. N., Vasseghian, Y., Phan, H., & Lee, S. W. (2022). Experimental and computational investigation of a green Knoevenagel condensation catalyzed by zeolitic imidazolate framework-8. Environmental research, 204112364. https://doi.org/10.1016/j.envres.2021.112364
Anh Tran, Vy, et al. "Experimental and computational investigation of a green Knoevenagel condensation catalyzed by zeolitic imidazolate framework-8." Environmental research vol. 204 (2022): 112364. doi: https://doi.org/10.1016/j.envres.2021.112364
Anh Tran V, Nhu Quynh LT, Thi Vo TT, Nguyen PA, Don TN, Vasseghian Y, Phan H, Lee SW. Experimental and computational investigation of a green Knoevenagel condensation catalyzed by zeolitic imidazolate framework-8. Environ Res. 2022 Mar;204:112364. doi: 10.1016/j.envres.2021.112364. Epub 2021 Nov 09. PMID: 34767819.
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Electrochemical sensor to detect terbutaline in biological samples by a green agent.

Chemosphere

Tam Toan TT, Nguyen DM, Dung DM, Ngoc Hoa DT, Thanh Nhi LT, Thanh NM, Dung NN, Vasseghian Y, Golzadeh N.
PMID: 34875292
Chemosphere. 2021 Dec 04;289:133171. doi: 10.1016/j.chemosphere.2021.133171. Epub 2021 Dec 04.

In this research, reduced graphene oxide (RGO) which is a form of graphene oxide (GO) was formed through a reduction process using a "green agent" called Ascorbic acid (AA). RGO was then modified on the surface of the glassy...

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Tam Toan TT, Nguyen DM, Dung DM, et al. Electrochemical sensor to detect terbutaline in biological samples by a green agent. Chemosphere. 2021;289:133171doi: 10.1016/j.chemosphere.2021.133171.
Tam Toan, T. T., Nguyen, D. M., Dung, D. M., Ngoc Hoa, D. T., Thanh Nhi, L. T., Thanh, N. M., Dung, N. N., Vasseghian, Y., & Golzadeh, N. (2021). Electrochemical sensor to detect terbutaline in biological samples by a green agent. Chemosphere, 289133171. https://doi.org/10.1016/j.chemosphere.2021.133171
Tam Toan, Tran Thanh, et al. "Electrochemical sensor to detect terbutaline in biological samples by a green agent." Chemosphere vol. 289 (2021): 133171. doi: https://doi.org/10.1016/j.chemosphere.2021.133171
Tam Toan TT, Nguyen DM, Dung DM, Ngoc Hoa DT, Thanh Nhi LT, Thanh NM, Dung NN, Vasseghian Y, Golzadeh N. Electrochemical sensor to detect terbutaline in biological samples by a green agent. Chemosphere. 2021 Dec 04;289:133171. doi: 10.1016/j.chemosphere.2021.133171. Epub 2021 Dec 04. PMID: 34875292.
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Boron removal from aqueous solutions by chitosan/functionalized-SWCNT-COOH: Development of optimization study using response surface methodology and simulated annealing.

Chemosphere

Taşçı T, Küçükyıldız G, Hepyalçın S, Ciğeroğlu Z, Şahin S, Vasseghian Y.
PMID: 34648780
Chemosphere. 2021 Oct 11;288:132554. doi: 10.1016/j.chemosphere.2021.132554. Epub 2021 Oct 11.

Boron contamination in water resources (especially drinking waters and agricultural land) is a major problem for the ecosystem. In this study, a novel synthesized chitosan/functionalized-SWCNT-COOH was prepared to separate boron (as boric acid) from aqueous solutions. Scanning electron microscopy...

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Taşçı T, Küçükyıldız G, Hepyalçın S, et al. Boron removal from aqueous solutions by chitosan/functionalized-SWCNT-COOH: Development of optimization study using response surface methodology and simulated annealing. Chemosphere. 2021;288:132554doi: 10.1016/j.chemosphere.2021.132554.
Taşçı, T., Küçükyıldız, G., Hepyalçın, S., Ciğeroğlu, Z., Şahin, S., & Vasseghian, Y. (2021). Boron removal from aqueous solutions by chitosan/functionalized-SWCNT-COOH: Development of optimization study using response surface methodology and simulated annealing. Chemosphere, 288132554. https://doi.org/10.1016/j.chemosphere.2021.132554
Taşçı, Tolga, et al. "Boron removal from aqueous solutions by chitosan/functionalized-SWCNT-COOH: Development of optimization study using response surface methodology and simulated annealing." Chemosphere vol. 288 (2021): 132554. doi: https://doi.org/10.1016/j.chemosphere.2021.132554
Taşçı T, Küçükyıldız G, Hepyalçın S, Ciğeroğlu Z, Şahin S, Vasseghian Y. Boron removal from aqueous solutions by chitosan/functionalized-SWCNT-COOH: Development of optimization study using response surface methodology and simulated annealing. Chemosphere. 2021 Oct 11;288:132554. doi: 10.1016/j.chemosphere.2021.132554. Epub 2021 Oct 11. PMID: 34648780.
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Electrochemical sensor to detect terbutaline in biological samples by a green agent.

Chemosphere

Tam Toan TT, Nguyen DM, Dung DM, Ngoc Hoa DT, Thanh Nhi LT, Thanh NM, Dung NN, Vasseghian Y, Golzadeh N.
PMID: 34875292
Chemosphere. 2021 Dec 04;289:133171. doi: 10.1016/j.chemosphere.2021.133171. Epub 2021 Dec 04.

In this research, reduced graphene oxide (RGO) which is a form of graphene oxide (GO) was formed through a reduction process using a "green agent" called Ascorbic acid (AA). RGO was then modified on the surface of the glassy...

Cite
Tam Toan TT, Nguyen DM, Dung DM, et al. Electrochemical sensor to detect terbutaline in biological samples by a green agent. Chemosphere. 2021;289:133171doi: 10.1016/j.chemosphere.2021.133171.
Tam Toan, T. T., Nguyen, D. M., Dung, D. M., Ngoc Hoa, D. T., Thanh Nhi, L. T., Thanh, N. M., Dung, N. N., Vasseghian, Y., & Golzadeh, N. (2021). Electrochemical sensor to detect terbutaline in biological samples by a green agent. Chemosphere, 289133171. https://doi.org/10.1016/j.chemosphere.2021.133171
Tam Toan, Tran Thanh, et al. "Electrochemical sensor to detect terbutaline in biological samples by a green agent." Chemosphere vol. 289 (2021): 133171. doi: https://doi.org/10.1016/j.chemosphere.2021.133171
Tam Toan TT, Nguyen DM, Dung DM, Ngoc Hoa DT, Thanh Nhi LT, Thanh NM, Dung NN, Vasseghian Y, Golzadeh N. Electrochemical sensor to detect terbutaline in biological samples by a green agent. Chemosphere. 2021 Dec 04;289:133171. doi: 10.1016/j.chemosphere.2021.133171. Epub 2021 Dec 04. PMID: 34875292.
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Facile construction of S-scheme SnO.

Chemosphere

Van KN, Huu HT, Nguyen Thi VN, Le Thi TL, Truong DH, Truong TT, Dao NN, Vo V, Tran DL, Vasseghian Y.
PMID: 34863724
Chemosphere. 2021 Dec 01;289:133120. doi: 10.1016/j.chemosphere.2021.133120. Epub 2021 Dec 01.

The SnO2/g-C3N4 composites were fabricated via an annealing mixture of g-C3N4 and SnO2, which were obtained from calcinating melamine and hydrothermal treatment of SnCl

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Van KN, Huu HT, Nguyen Thi VN, et al. Facile construction of S-scheme SnO. Chemosphere. 2021;289:133120doi: 10.1016/j.chemosphere.2021.133120.
Van, K. N., Huu, H. T., Nguyen Thi, V. N., Le Thi, T. L., Truong, D. H., Truong, T. T., Dao, N. N., Vo, V., Tran, D. L., & Vasseghian, Y. (2021). Facile construction of S-scheme SnO. Chemosphere, 289133120. https://doi.org/10.1016/j.chemosphere.2021.133120
Van, Kim Nguyen, et al. "Facile construction of S-scheme SnO." Chemosphere vol. 289 (2021): 133120. doi: https://doi.org/10.1016/j.chemosphere.2021.133120
Van KN, Huu HT, Nguyen Thi VN, Le Thi TL, Truong DH, Truong TT, Dao NN, Vo V, Tran DL, Vasseghian Y. Facile construction of S-scheme SnO. Chemosphere. 2021 Dec 01;289:133120. doi: 10.1016/j.chemosphere.2021.133120. Epub 2021 Dec 01. PMID: 34863724.
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Construction of S-scheme CdS/g-C.

Environmental research

Van KN, Huu HT, Nguyen Thi VN, Thi Le TL, Hoang QD, Dinh QV, Vo V, Tran DL, Vasseghian Y.
PMID: 34951992
Environ Res. 2021 Dec 22;206:112556. doi: 10.1016/j.envres.2021.112556. Epub 2021 Dec 22.

Within moderate band gap, g-C

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Van KN, Huu HT, Nguyen Thi VN, et al. Construction of S-scheme CdS/g-C. Environ Res. 2021;206:112556doi: 10.1016/j.envres.2021.112556.
Van, K. N., Huu, H. T., Nguyen Thi, V. N., Thi Le, T. L., Hoang, Q. D., Dinh, Q. V., Vo, V., Tran, D. L., & Vasseghian, Y. (2021). Construction of S-scheme CdS/g-C. Environmental research, 206112556. https://doi.org/10.1016/j.envres.2021.112556
Van, Kim Nguyen, et al. "Construction of S-scheme CdS/g-C." Environmental research vol. 206 (2021): 112556. doi: https://doi.org/10.1016/j.envres.2021.112556
Van KN, Huu HT, Nguyen Thi VN, Thi Le TL, Hoang QD, Dinh QV, Vo V, Tran DL, Vasseghian Y. Construction of S-scheme CdS/g-C. Environ Res. 2021 Dec 22;206:112556. doi: 10.1016/j.envres.2021.112556. Epub 2021 Dec 22. PMID: 34951992.
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Showing 1 to 12 of 54 entries