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2. EDUCAÇÃO ESPECIAL E INCLUSIVA: conectando saberes

Author

BOMFIM, L. F., primary, PORTELA, C. P. J., additional, RIOS, A. M. M., additional, CARVALHO, D. L. A., additional, ANDRADE, Didima Maria de Mello, additional, TRINCHÃO, G. M. C., additional, BESSA, G.E., additional, SALES, K. M. B., additional, FRAGOSO, Luís Eduardo Santos, additional, LYRIO, L. B., additional, SANTANA, M. M. T. S., additional, VILAS BOAS, M. P., additional, OLIVEIRA, M. D. S., additional, GOES, N. F., additional, COSTA, P. T. G. S., additional, MOREIRA, S. S., additional, ALMEIDA, A. C. M. M., additional, and RIOS, A. P. F. O., additional

Published
2020
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3. 30-day morbidity and mortality of sleeve gastrectomy, Roux-en-Y gastric bypass and one anastomosis gastric bypass: a propensity score-matched analysis of the GENEVA data

Author

Singhal R., Cardoso V. R., Wiggins T., Super J., Ludwig C., Gkoutos G. V., Mahawar K., Pedziwiatr M., Major P., Zarzycki P., Pantelis A., Lapatsanis D. P., Stravodimos G., Matthys C., Focquet M., Vleeschouwers W., Spaventa A. G., Zerrweck C., Vitiello A., Berardi G., Musella M., Sanchez-Meza A., Cantu F. J., Mora F., Cantu M. A., Katakwar A., Reddy D. N., Elmaleh H., Hassan M., Elghandour A., Elbanna M., Osman A., Khan A., layani L., Kiran N., Velikorechin A., Solovyeva M., Melali H., Shahabi S., Agrawal A., Shrivastava A., Sharma A., Narwaria B., Narwaria M., Raziel A., Sakran N., Susmallian S., Karagoz L., Akbaba M., Piskin S. Z., Balta A. Z., Senol Z., Manno E., Iovino M. G., Qassem M., Arana-Garza S., Povoas H. P., Vilas-Boas M. L., Naumann D., Li A., Ammori B. J., Balamoun H., Salman M., Nasta A. M., Goel R., Sanchez-Aguilar H., Herrera M. F., Abou-mrad A., Cloix L., Mazzini G. S., Kristem L., Lazaro A., Campos J., Bernardo J., Gonzalez J., Trindade C., Viveiros O., Ribeiro R., Goitein D., Hazzan D., Segev L., Beck T., Reyes H., Monterrubio J., Garcia P., Benois M., Kassir R., Contine A., Elshafei M., Aktas S., Weiner S., Heidsieck T., Level L., Pinango S., Ortega P. M., Moncada R., Valenti V., Vlahovic I., Boras Z., Liagre A., Martini F., Juglard G., Motwani M., Saggu S. S., Momani H. A., Lopez L. A. A., Cortez M. A. C., Zavala R. A., D'Haese RN C., Kempeneers I., Himpens J., Lazzati A., Paolino L., Bathaei S., Bedirli A., Yavuz A., Buyukkasap C., Ozaydin S., Kwiatkowski A., Bartosiak K., Waledziak M., Santonicola A., Angrisani L., Iovino P., Palma R., Iossa A., Boru C. E., De Angelis F., Silecchia G., Hussain A., Balchandra S., Coltell I. B., Perez J. L., Bohra A., Awan A. K., Madhok B., Leeder P. C., Awad S., Al-Khyatt W., Shoma A., Elghadban H., Ghareeb S., Mathews B., Kurian M., Larentzakis A., Vrakopoulou G. Z., Albanopoulos K., Bozdag A., Lale A., Kirkil C., Dincer M., Bashir A., Haddad A., Hijleh L. A., Zilberstein B., de Marchi D. D., Souza W. P., Broden C. M., Gislason H., Shah K., Ambrosi A., Pavone G., Tartaglia N., Kona S. L. K., Kalyan K., Perez C. E. G., Botero M. A. F., Covic A., Timofte D., Maxim M., Faraj D., Tseng L., Liem R., Oren G., Dilektasli E., Yalcin I., AlMukhtar H., Hadad M. A., Mohan R., Arora N., Bedi D., Rives-Lange C., Chevallier J. -M., Poghosyan T., Sebbag H., Zinai L., Khaldi S., Mauchien C., Mazza D., Dinescu G., Rea B., Perez-Galaz F., Zavala L., Besa A., Curell A., Balibrea J. M., Vaz C., Galindo L., Silva N., Caballero J. L. E., Sebastian S. O., Marchesini J. C. D., da Fonseca Pereira R. A., Sobottka W. H., Fiolo F. E., Turchi M., Coelho A. C. J., Zacaron A. L., Barbosa A., Quinino R., Menaldi G., Paleari N., Martinez-Duartez P., de Esparza G. M. A. R., Esteban V. S., Torres A., Garcia-Galocha J. L., Josa M., Pacheco-Garcia J. M., Mayo-Ossorio M. A., Chowbey P., Soni V., de Vasconcelos Cunha H. A., Castilho M. V., Ferreira R. M. A., Barreiro T. A., Charalabopoulos A., Sdralis E., Davakis S., Bomans B., Dapri G., Van Belle K., Takieddine M., Vaneukem P., Karaca E. S. A., Karaca F. C., Sumer A., Peksen C., Savas O. A., Chousleb E., Elmokayed F., Fakhereldin I., Aboshanab H. M., Swelium T., Gudal A., Gamloo L., Ugale A., Ugale S., Boeker C., Reetz C., Hakami I. A., Mall J., Alexandrou A., Baili E., Bodnar Z., Maleckas A., Gudaityte R., Guldogan C. E., Gundogdu E., Ozmen M. M., Thakkar D., Dukkipati N., Shah P. S., Shah S. S., Adil M. T., Jambulingam P., Mamidanna R., Whitelaw D., Jain V., Veetil D. K., Wadhawan R., Torres M., Tinoco T., Leclercq W., Romeijn M., van de Pas K., Alkhazraji A. K., Taha S. A., Ustun M., Yigit T., Inam A., Burhanulhaq M., Pazouki A., Eghbali F., Kermansaravi M., Jazi A. H. D., Mahmoudieh M., Mogharehabed N., Tsiotos G., Stamou K., Rodriguez F. J. B., Navarro M. A. R., Torres O. M., Martinez S. L., Tamez E. R. M., Cornejo G. A. M., Flores J. E. G., Mohammed D. A., Elfawal M. H., Shabbir A., Guowei K., So J. B., Kaplan E. T., Kaplan M., Kaplan T., Pham D. T., Rana G., Kappus M., Gadani R., Kahitan M., Pokharel K., Osborne A., Pournaras D., Hewes J., Napolitano E., Chiappetta S., Bottino V., Dorado E., Schoettler A., Gaertner D., Fedtke K., Aguilar-Espinosa F., Aceves-Lozano S., Balani A., Nagliati C., Pennisi D., Rizzi A., Frattini F., Foschi D., Benuzzi L., Parikh C., Shah H., Pinotti E., Montuori M., Borrelli V., Dargent J., Copaescu C. A., Hutopila I., Smeu B., Witteman B., Hazebroek E., Deden L., Heusschen L., Okkema S., Aufenacker T., den Hengst W., Vening W., van der Burgh Y., Ghazal A., Ibrahim H., Niazi M., Alkhaffaf B., Altarawni M., Cesana G. C., Anselmino M., Uccelli M., Olmi S., Stier C., Akmanlar T., Sonnenberg T., Schieferbein U., Marcolini A., Awruch D., Vicentin M., de Souza Bastos E. L., Gregorio S. A., Ahuja A., Mittal T., Bolckmans R., Baratte C., Wisnewsky J. A., Genser L., Chong L., Taylor L., Ward S., Hi M. W., Heneghan H., Fearon N., Plamper A., Rheinwalt K., Geoghegan J., Ng K. C., Kaseja K., Kotowski M., Samarkandy T. A., Leyva-Alvizo A., Corzo-Culebro L., Wang C., Yang W., Dong Z., Riera M., Jain R., Hamed H., Said M., Zarzar K., Garcia M., Turkcapar A. G., Sen O., Baldini E., Conti L., Wietzycoski C., Lopes E., Pintar T., Salobir J., Aydin C., Atici S. D., Ergin A., Ciyiltepe H., Bozkurt M. A., Kizilkaya M. C., Onalan N. B. D., Zuber M. N. B. A., Wong W. J., Garcia A., Vidal L., Beisani M., Pasquier J., Vilallonga R., Sharma S., Parmar C., Lee L., Sufi P., Sinan H., Saydam M., Singhal, R., Cardoso, V. R., Wiggins, T., Super, J., Ludwig, C., Gkoutos, G. V., Mahawar, K., Pedziwiatr, M., Major, P., Zarzycki, P., Pantelis, A., Lapatsanis, D. P., Stravodimos, G., Matthys, C., Focquet, M., Vleeschouwers, W., Spaventa, A. G., Zerrweck, C., Vitiello, A., Berardi, G., Musella, M., Sanchez-Meza, A., Cantu, F. J., Mora, F., Cantu, M. A., Katakwar, A., Reddy, D. N., Elmaleh, H., Hassan, M., Elghandour, A., Elbanna, M., Osman, A., Khan, A., Layani, L., Kiran, N., Velikorechin, A., Solovyeva, M., Melali, H., Shahabi, S., Agrawal, A., Shrivastava, A., Sharma, A., Narwaria, B., Narwaria, M., Raziel, A., Sakran, N., Susmallian, S., Karagoz, L., Akbaba, M., Piskin, S. Z., Balta, A. Z., Senol, Z., Manno, E., Iovino, M. G., Qassem, M., Arana-Garza, S., Povoas, H. P., Vilas-Boas, M. L., Naumann, D., Li, A., Ammori, B. J., Balamoun, H., Salman, M., Nasta, A. M., Goel, R., Sanchez-Aguilar, H., Herrera, M. F., Abou-mrad, A., Cloix, L., Mazzini, G. S., Kristem, L., Lazaro, A., Campos, J., Bernardo, J., Gonzalez, J., Trindade, C., Viveiros, O., Ribeiro, R., Goitein, D., Hazzan, D., Segev, L., Beck, T., Reyes, H., Monterrubio, J., Garcia, P., Benois, M., Kassir, R., Contine, A., Elshafei, M., Aktas, S., Weiner, S., Heidsieck, T., Level, L., Pinango, S., Ortega, P. M., Moncada, R., Valenti, V., Vlahovic, I., Boras, Z., Liagre, A., Martini, F., Juglard, G., Motwani, M., Saggu, S. S., Momani, H. A., Lopez, L. A. A., Cortez, M. A. C., Zavala, R. A., D'Haese RN, C., Kempeneers, I., Himpens, J., Lazzati, A., Paolino, L., Bathaei, S., Bedirli, A., Yavuz, A., Buyukkasap, C., Ozaydin, S., Kwiatkowski, A., Bartosiak, K., Waledziak, M., Santonicola, A., Angrisani, L., Iovino, P., Palma, R., Iossa, A., Boru, C. E., De Angelis, F., Silecchia, G., Hussain, A., Balchandra, S., Coltell, I. B., Perez, J. L., Bohra, A., Awan, A. K., Madhok, B., Leeder, P. C., Awad, S., Al-Khyatt, W., Shoma, A., Elghadban, H., Ghareeb, S., Mathews, B., Kurian, M., Larentzakis, A., Vrakopoulou, G. Z., Albanopoulos, K., Bozdag, A., Lale, A., Kirkil, C., Dincer, M., Bashir, A., Haddad, A., Hijleh, L. A., Zilberstein, B., de Marchi, D. D., Souza, W. P., Broden, C. M., Gislason, H., Shah, K., Ambrosi, A., Pavone, G., Tartaglia, N., Kona, S. L. K., Kalyan, K., Perez, C. E. G., Botero, M. A. F., Covic, A., Timofte, D., Maxim, M., Faraj, D., Tseng, L., Liem, R., Oren, G., Dilektasli, E., Yalcin, I., Almukhtar, H., Hadad, M. A., Mohan, R., Arora, N., Bedi, D., Rives-Lange, C., Chevallier, J. -M., Poghosyan, T., Sebbag, H., Zinai, L., Khaldi, S., Mauchien, C., Mazza, D., Dinescu, G., Rea, B., Perez-Galaz, F., Zavala, L., Besa, A., Curell, A., Balibrea, J. M., Vaz, C., Galindo, L., Silva, N., Caballero, J. L. E., Sebastian, S. O., Marchesini, J. C. D., da Fonseca Pereira, R. A., Sobottka, W. H., Fiolo, F. E., Turchi, M., Coelho, A. C. J., Zacaron, A. L., Barbosa, A., Quinino, R., Menaldi, G., Paleari, N., Martinez-Duartez, P., de Esparza, G. M. A. R., Esteban, V. S., Torres, A., Garcia-Galocha, J. L., Josa, M., Pacheco-Garcia, J. M., Mayo-Ossorio, M. A., Chowbey, P., Soni, V., de Vasconcelos Cunha, H. A., Castilho, M. V., Ferreira, R. M. A., Barreiro, T. A., Charalabopoulos, A., Sdralis, E., Davakis, S., Bomans, B., Dapri, G., Van Belle, K., Takieddine, M., Vaneukem, P., Karaca, E. S. A., Karaca, F. C., Sumer, A., Peksen, C., Savas, O. A., Chousleb, E., Elmokayed, F., Fakhereldin, I., Aboshanab, H. M., Swelium, T., Gudal, A., Gamloo, L., Ugale, A., Ugale, S., Boeker, C., Reetz, C., Hakami, I. A., Mall, J., Alexandrou, A., Baili, E., Bodnar, Z., Maleckas, A., Gudaityte, R., Guldogan, C. E., Gundogdu, E., Ozmen, M. M., Thakkar, D., Dukkipati, N., Shah, P. S., Shah, S. S., Adil, M. T., Jambulingam, P., Mamidanna, R., Whitelaw, D., Jain, V., Veetil, D. K., Wadhawan, R., Torres, M., Tinoco, T., Leclercq, W., Romeijn, M., van de Pas, K., Alkhazraji, A. K., Taha, S. A., Ustun, M., Yigit, T., Inam, A., Burhanulhaq, M., Pazouki, A., Eghbali, F., Kermansaravi, M., Jazi, A. H. D., Mahmoudieh, M., Mogharehabed, N., Tsiotos, G., Stamou, K., Rodriguez, F. J. B., Navarro, M. A. R., Torres, O. M., Martinez, S. L., Tamez, E. R. M., Cornejo, G. A. M., Flores, J. E. G., Mohammed, D. A., Elfawal, M. H., Shabbir, A., Guowei, K., So, J. B., Kaplan, E. T., Kaplan, M., Kaplan, T., Pham, D. T., Rana, G., Kappus, M., Gadani, R., Kahitan, M., Pokharel, K., Osborne, A., Pournaras, D., Hewes, J., Napolitano, E., Chiappetta, S., Bottino, V., Dorado, E., Schoettler, A., Gaertner, D., Fedtke, K., Aguilar-Espinosa, F., Aceves-Lozano, S., Balani, A., Nagliati, C., Pennisi, D., Rizzi, A., Frattini, F., Foschi, D., Benuzzi, L., Parikh, C., Shah, H., Pinotti, E., Montuori, M., Borrelli, V., Dargent, J., Copaescu, C. A., Hutopila, I., Smeu, B., Witteman, B., Hazebroek, E., Deden, L., Heusschen, L., Okkema, S., Aufenacker, T., den Hengst, W., Vening, W., van der Burgh, Y., Ghazal, A., Ibrahim, H., Niazi, M., Alkhaffaf, B., Altarawni, M., Cesana, G. C., Anselmino, M., Uccelli, M., Olmi, S., Stier, C., Akmanlar, T., Sonnenberg, T., Schieferbein, U., Marcolini, A., Awruch, D., Vicentin, M., de Souza Bastos, E. L., Gregorio, S. A., Ahuja, A., Mittal, T., Bolckmans, R., Baratte, C., Wisnewsky, J. A., Genser, L., Chong, L., Taylor, L., Ward, S., Hi, M. W., Heneghan, H., Fearon, N., Plamper, A., Rheinwalt, K., Geoghegan, J., Ng, K. C., Kaseja, K., Kotowski, M., Samarkandy, T. A., Leyva-Alvizo, A., Corzo-Culebro, L., Wang, C., Yang, W., Dong, Z., Riera, M., Jain, R., Hamed, H., Said, M., Zarzar, K., Garcia, M., Turkcapar, A. G., Sen, O., Baldini, E., Conti, L., Wietzycoski, C., Lopes, E., Pintar, T., Salobir, J., Aydin, C., Atici, S. D., Ergin, A., Ciyiltepe, H., Bozkurt, M. A., Kizilkaya, M. C., Onalan, N. B. D., Zuber, M. N. B. A., Wong, W. J., Garcia, A., Vidal, L., Beisani, M., Pasquier, J., Vilallonga, R., Sharma, S., Parmar, C., Lee, L., Sufi, P., Sinan, H., Saydam, M., İstinye Üniversitesi, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümü, Sumer, Aziz, Peksen, Caghan, and Savas, Osman Anil

Subjects
Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Gastric Bypass, Medicine (miscellaneous), nutritional and metabolic diseases, COVID-19, Gastrectomy, Humans, Morbidity, Propensity Score, Retrospective Studies, Treatment Outcome, Diabetes Mellitus, Type 2, Obesity, Morbid, Article, Diabetes Mellitus, Obesity, Morbid, Type 2
Abstract

Background There is a paucity of data comparing 30-day morbidity and mortality of sleeve gastrectomy (SG), Roux-en-Y gastric bypass (RYGB), and one anastomosis gastric bypass (OAGB). This study aimed to compare the 30-day safety of SG, RYGB, and OAGB in propensity score-matched cohorts. Materials and methods This analysis utilised data collected from the GENEVA study which was a multicentre observational cohort study of bariatric and metabolic surgery (BMS) in 185 centres across 42 countries between 01/05/2022 and 31/10/2020 during the Coronavirus Disease-2019 (COVID-19) pandemic. 30-day complications were categorised according to the Clavien–Dindo classification. Patients receiving SG, RYGB, or OAGB were propensity-matched according to baseline characteristics and 30-day complications were compared between groups. Results In total, 6770 patients (SG 3983; OAGB 702; RYGB 2085) were included in this analysis. Prior to matching, RYGB was associated with highest 30-day complication rate (SG 5.8%; OAGB 7.5%; RYGB 8.0% (p = 0.006)). On multivariate regression modelling, Insulin-dependent type 2 diabetes mellitus and hypercholesterolaemia were associated with increased 30-day complications. Being a non-smoker was associated with reduced complication rates. When compared to SG as a reference category, RYGB, but not OAGB, was associated with an increased rate of 30-day complications. A total of 702 pairs of SG and OAGB were propensity score-matched. The complication rate in the SG group was 7.3% (n = 51) as compared to 7.5% (n = 53) in the OAGB group (p = 0.68). Similarly, 2085 pairs of SG and RYGB were propensity score-matched. The complication rate in the SG group was 6.1% (n = 127) as compared to 7.9% (n = 166) in the RYGB group (p = 0.09). And, 702 pairs of OAGB and RYGB were matched. The complication rate in both groups was the same at 7.5 % (n = 53; p = 0.07). Conclusions This global study found no significant difference in the 30-day morbidity and mortality of SG, RYGB, and OAGB in propensity score-matched cohorts.

Published
2021

4. Assessing the performance of analytical methods for propolis – A collaborative trial by the international honey commission.

Author

Vilas-Boas, M., Lopes, M., Nunes, L. F., Pereyra, A., Kunert, C., Beckh, G., Çelemli, O. G., Sorkun, K., Georgé, S., Paulo, L., Gardini, S., Sancho, M.T., Osés, S. M., Fernández-Muíño, M. A., Bankova, V., Popova, M., Trusheva, B., Petrov, N., Dastan, T., and Tananaki, C.

Abstract

Propolis is a resinous beehive product with extraordinary bioactivity and chemical richness, linked with the botanical sources of the resin. The potential of this product keeps captivating the scientific community, conducting to continuous and growing research on plant sources, composition, or applications in agriculture, cosmetics, pharmacy, odontology, etc. In all cases, the quality assessment is a requirement and relies on methods to extract the bioactive substances from the raw propolis and quantify different components. Unfortunately, besides the absence of international quality requirements, there is also a lack of standardized analytical procedures, despite the presence of several methodologies with unknown reliability, often not comparable. To overcome the current status, the International Honey Commission established an inter-laboratory study, with propolis samples from around the globe, to harmonize analytical methods and evaluate their accuracy. A common set of protocols was matched between twelve laboratories from nine countries, for quantification of ash, wax, and balsamic content in raw propolis, and spectrophotometric evaluation of total phenolics, flavone/flavonol, and flavanone/dihydroflavonol in the extract. A total of 3428 results (97% valid data), were used to assess the methods' accuracy following ISO-5725 guidelines. The within-laboratory precision, revealed good agreement levels for the majority of the methods, with relative variance below 5%. As expected, the between-laboratory variance increased, but, with exception of the flavanone method that revealed a clear lack of consistency, all the others maintained acceptable variability levels, below 30%. Because the performance of ultrasounds procedures was low, they cannot be recommended until further improvements are made. [ABSTRACT FROM AUTHOR]

Published
2023
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6. Assessing the performance of analytical methods for propolis – A collaborative trial by the international honey commission

Author

Vilas-Boas, M., primary, Lopes, M., additional, Nunes, L. F., additional, Pereyra, A., additional, Kunert, C., additional, Beckh, G., additional, Çelemli, O. G., additional, Sorkun, K., additional, Georgé, S., additional, Paulo, L., additional, Gardini, S., additional, Sancho, M.T., additional, Osés, S. M., additional, Fernández-Muíño, M. A., additional, Bankova, V., additional, Popova, M., additional, Trusheva, B., additional, Petrov, N., additional, Dastan, T., additional, Tananaki, C., additional, and Falcão, S. I., additional

Published
2022
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7. 30-Day morbidity and mortality of bariatric metabolic surgery in adolescence during the COVID-19 pandemic – The GENEVA study

Author

Singhal R., Wiggins T., Super J., Alqahtani A., Nadler E. P., Ludwig C., Tahrani A., Mahawar K., Pedziwiatr M., Major P., Zarzycki P., Pantelis A., Lapatsanis D. P., Stravodimos G., Matthys C., Focquet M., Vleeschouwers W., Spaventa A. G., Zerrweck C., Vitiello A., Berardi G., Musella M., Sanchez-Meza A., Cantu F. J., Mora F., Cantu M. A., Katakwar A., Reddy D. N., Elmaleh H., Hassan M., Elghandour A., Elbanna M., Osman A., Khan A., Layani L., Kiran N., Velikorechin A., Solovyeva M., Melali H., Shahabi S., Agrawal A., Shrivastava A., Sharma A., Narwaria B., Narwaria M., Raziel A., Sakran N., Susmallian S., Karagoz L., Akbaba M., Piskin S. Z., Ziya A., Senol Z., Manno E., Iovino M. G., Qassem M., Arana-Garza S., Povoas H. P., Vilas-Boas M. L., Naumann D., Li A., Ammori B. J., Balamoun H., Salman M., Nasta A. M., Goel R., Sanchez-Aguilar H., Herrera M. F., Abou-Mrad A., Cloix L., Mazzini G. S., Kristem L., Lazaro A., Campos J., Bernardo J., Gonzalez J., Trindade C., Viveiros O., Ribeiro R., Goitein D., Hazzan D., Segev L., Beck T., Reyes H., Monterrubio J., Garcia P., Benois M., Kassir R., Contine A., Elshafei M., Aktas S., Weiner S., Heidsieck T., Level L., Pinango S., Ortega P. M., Moncada R., Valenti V., Vlahovic I., Boras Z., Liagre A., Martini F., Juglard G., Motwani M., Saggu S. S., Al Momani H., Lopez L. A. A., Cortez M. A. C., Zavala R. A., D'Haese C., Kempeneers I., Himpens J., Lazzati A., Paolino L., Bathaei S., Bedirli A., Yavuz A., Buyukkasap C., Ozaydin S., Kwiatkowski A., Bartosiak K., Waledziak M., Santonicola A., Angrisani L., Iovino P., Palma R., Iossa A., Boru C. E., De Angelis F., Silecchia G., Hussain A., Balchandra S., Coltell I. B., Perez J. L., Bohra A., Awan A. K., Madhok B., Leeder P. C., Awad S., Al-Khyatt W., Shoma A., Elghadban H., Ghareeb S., Mathews B., Kurian M., Larentzakis A., Vrakopoulou G. Z., Albanopoulos K., Bozdag A., Lale A., Kirkil C., Dincer M., Bashir A., Haddad A., Hijleh L. A., Zilberstein B., de Marchi D. D., Souza W. P., Broden C. M., Gislason H., Shah K., Ambrosi A., Pavone G., Tartaglia N., Kona S. L. K., Kalyan K., Perez C. E. G., Botero M. A. F., Covic A., Timofte D., Maxim M., Faraj D., Tseng L., Liem R., Oren G., Dilektasli E., Yalcin I., AlMukhtar H., Al Hadad M., Mohan R., Arora N., Bedi D., Rives-Lange C., Chevallier J. -M., Poghosyan T., Sebbag H., Zinai L., Khaldi S., Mauchien C., Mazza D., Dinescu G., Rea B., Perez-Galaz F., Zavala L., Besa A., Curell A., Balibrea J. M., Vaz C., Galindo L., Silva N., Caballero J. L. E., Sebastian S. O., Marchesini J. C. D., da Fonseca Pereira R. A., Sobottka W. H., Fiolo F. E., Turchi M., Coelho A. C. J., Zacaron A. L., Barbosa A., Quinino R., Menaldi G., Paleari N., Martinez-Duartez P., Aragon Ramirez de Esparza D. G. M., Esteban V. S., Torres A., Garcia-Galocha J. L., Josa M. I., Pacheco-Garcia J. M., Mayo-Ossorio M. A., Chowbey P., Soni V., de Vasconcelos Cunha H. A., Castilho M. V., Ferreira R. M. A., Barreiro T. A., Charalabopoulos A., Sdralis E., Davakis S., Bomans B., Dapri G., Van Belle K., MazenTakieddine, Vaneukem P., Karaca E. S. A., Karaca F. C., Sumer A., Peksen C., Savas O. A., Chousleb E., Elmokayed F., Fakhereldin I., Aboshanab H. M., Swelium T., Gudal A., Gamloo L., Ugale A., Ugale S., Boeker C., Reetz C., Hakami I. A., Mall J., Alexandrou A., Baili E., Bodnar Z., Maleckas A., Gudaityte R., Guldogan C. E., Gundogdu E., Ozmen M. M., Thakkar D., Dukkipati N., Shah P. S., Shah S. S., Adil M. T., Jambulingam P., Mamidanna R., Whitelaw D., Jain V., Veetil D. K., Wadhawan R., Torres M., Tinoco T., Leclercq W., Romeijn M., van de Pas K., Alkhazraji A. K., Taha S. A., Ustun M., Yigit T., Inam A., Burhanulhaq M., Pazouki A., Eghbali F., Kermansaravi M., Jazi A. H. D., Mahmoudieh M., Mogharehabed N., Tsiotos G., Stamou K., Barrera Rodriguez F. J., Rojas Navarro M. A., Torres O. M. O., Martinez S. L., Tamez E. R. M., Millan Cornejo G. A., Flores J. E. G., Mohammed D. A., Elfawal M. H., Shabbir A., Guowei K., So J. B. Y., Kaplan E. T., Kaplan M., Kaplan T., Pham D. T., Rana G., Kappus M., Gadani R., Kahitan M., Pokharel K., Osborne A., Pournaras D., Hewes J., Napolitano E., Chiappetta S., Bottino V., Dorado E., Schoettler A., Gaertner D., Fedtke K., Aguilar-Espinosa F., Aceves-Lozano S., Balani A., Nagliati C., Pennisi D., Rizzi A., Frattini F., Foschi D., Benuzzi L., Parikh C. H. I. R. A. G., Shah H. A. R. S. H. I. L., Pinotti E., Montuori M., Borrelli V., Dargent J., Copaescu C. A., Hutopila I., Smeu B., Witteman B., Hazebroek E., Deden L., Heusschen L., Okkema S., Aufenacker T., den Hengst W., Vening W., van der Burgh Y., Ghazal A., Ibrahim H., Niazi M., Alkhaffaf B., Altarawni M., Cesana G. C., Anselmino M., Uccelli M., Olmi S., Stier C., Akmanlar T., Sonnenberg T., Schieferbein U., Marcolini A., Awruch D., Vicentin M., de Souza Bastos E. L., Gregorio S. A., Ahuja A., Mittal T., Bolckmans R., Baratte C., Wisnewsky J. A., Genser L., Chong L., Taylor L., Ward S., Hi M. W., Heneghan H., Fearon N., Plamper A., Rheinwalt K., Geoghegan J., Ng K. C., Kaseja K., Kotowski M., Samarkandy T. A., Leyva-Alvizo A., Corzo-Culebro L., Wang C., Yang W., Dong Z., Riera M., Jain R., Hamed H., Said M., Zarzar K., Garcia M., Turkcapar A. G., Sen O., Baldini E., Conti L., Wietzycoski C., Lopes E., Pintar T., Salobir J., Aydin C., Atici S. D., Ergin A., Ciyiltepe H., Bozkurt M. A., Kizilkaya M. C., Onalan N. B. D., Zuber M. N. B. A., Wong W. J., Garcia A., Vidal L., Beisani M., Pasquier J., Vilallonga R., Sharma S., Parmar C., Lee L., Sufi P., Sinan H., Saydam M., Singhal, R., Wiggins, T., Super, J., Alqahtani, A., Nadler, E. P., Ludwig, C., Tahrani, A., Mahawar, K., Pedziwiatr, M., Major, P., Zarzycki, P., Pantelis, A., Lapatsanis, D. P., Stravodimos, G., Matthys, C., Focquet, M., Vleeschouwers, W., Spaventa, A. G., Zerrweck, C., Vitiello, A., Berardi, G., Musella, M., Sanchez-Meza, A., Cantu, F. J., Mora, F., Cantu, M. A., Katakwar, A., Reddy, D. N., Elmaleh, H., Hassan, M., Elghandour, A., Elbanna, M., Osman, A., Khan, A., Layani, L., Kiran, N., Velikorechin, A., Solovyeva, M., Melali, H., Shahabi, S., Agrawal, A., Shrivastava, A., Sharma, A., Narwaria, B., Narwaria, M., Raziel, A., Sakran, N., Susmallian, S., Karagoz, L., Akbaba, M., Piskin, S. Z., Ziya, A., Senol, Z., Manno, E., Iovino, M. G., Qassem, M., Arana-Garza, S., Povoas, H. P., Vilas-Boas, M. L., Naumann, D., Li, A., Ammori, B. J., Balamoun, H., Salman, M., Nasta, A. M., Goel, R., Sanchez-Aguilar, H., Herrera, M. F., Abou-Mrad, A., Cloix, L., Mazzini, G. S., Kristem, L., Lazaro, A., Campos, J., Bernardo, J., Gonzalez, J., Trindade, C., Viveiros, O., Ribeiro, R., Goitein, D., Hazzan, D., Segev, L., Beck, T., Reyes, H., Monterrubio, J., Garcia, P., Benois, M., Kassir, R., Contine, A., Elshafei, M., Aktas, S., Weiner, S., Heidsieck, T., Level, L., Pinango, S., Ortega, P. M., Moncada, R., Valenti, V., Vlahovic, I., Boras, Z., Liagre, A., Martini, F., Juglard, G., Motwani, M., Saggu, S. S., Al Momani, H., Lopez, L. A. A., Cortez, M. A. C., Zavala, R. A., D'Haese, C., Kempeneers, I., Himpens, J., Lazzati, A., Paolino, L., Bathaei, S., Bedirli, A., Yavuz, A., Buyukkasap, C., Ozaydin, S., Kwiatkowski, A., Bartosiak, K., Waledziak, M., Santonicola, A., Angrisani, L., Iovino, P., Palma, R., Iossa, A., Boru, C. E., De Angelis, F., Silecchia, G., Hussain, A., Balchandra, S., Coltell, I. B., Perez, J. L., Bohra, A., Awan, A. K., Madhok, B., Leeder, P. C., Awad, S., Al-Khyatt, W., Shoma, A., Elghadban, H., Ghareeb, S., Mathews, B., Kurian, M., Larentzakis, A., Vrakopoulou, G. Z., Albanopoulos, K., Bozdag, A., Lale, A., Kirkil, C., Dincer, M., Bashir, A., Haddad, A., Hijleh, L. A., Zilberstein, B., de Marchi, D. D., Souza, W. P., Broden, C. M., Gislason, H., Shah, K., Ambrosi, A., Pavone, G., Tartaglia, N., Kona, S. L. K., Kalyan, K., Perez, C. E. G., Botero, M. A. F., Covic, A., Timofte, D., Maxim, M., Faraj, D., Tseng, L., Liem, R., Oren, G., Dilektasli, E., Yalcin, I., Almukhtar, H., Al Hadad, M., Mohan, R., Arora, N., Bedi, D., Rives-Lange, C., Chevallier, J. -M., Poghosyan, T., Sebbag, H., Zinai, L., Khaldi, S., Mauchien, C., Mazza, D., Dinescu, G., Rea, B., Perez-Galaz, F., Zavala, L., Besa, A., Curell, A., Balibrea, J. M., Vaz, C., Galindo, L., Silva, N., Caballero, J. L. E., Sebastian, S. O., Marchesini, J. C. D., da Fonseca Pereira, R. A., Sobottka, W. H., Fiolo, F. E., Turchi, M., Coelho, A. C. J., Zacaron, A. L., Barbosa, A., Quinino, R., Menaldi, G., Paleari, N., Martinez-Duartez, P., Aragon Ramirez de Esparza, D. G. M., Esteban, V. S., Torres, A., Garcia-Galocha, J. L., Josa, M. I., Pacheco-Garcia, J. M., Mayo-Ossorio, M. A., Chowbey, P., Soni, V., de Vasconcelos Cunha, H. A., Castilho, M. V., Ferreira, R. M. A., Barreiro, T. A., Charalabopoulos, A., Sdralis, E., Davakis, S., Bomans, B., Dapri, G., Van Belle, K., Mazentakieddine, Vaneukem, P., Karaca, E. S. A., Karaca, F. C., Sumer, A., Peksen, C., Savas, O. A., Chousleb, E., Elmokayed, F., Fakhereldin, I., Aboshanab, H. M., Swelium, T., Gudal, A., Gamloo, L., Ugale, A., Ugale, S., Boeker, C., Reetz, C., Hakami, I. A., Mall, J., Alexandrou, A., Baili, E., Bodnar, Z., Maleckas, A., Gudaityte, R., Guldogan, C. E., Gundogdu, E., Ozmen, M. M., Thakkar, D., Dukkipati, N., Shah, P. S., Shah, S. S., Adil, M. T., Jambulingam, P., Mamidanna, R., Whitelaw, D., Jain, V., Veetil, D. K., Wadhawan, R., Torres, M., Tinoco, T., Leclercq, W., Romeijn, M., van de Pas, K., Alkhazraji, A. K., Taha, S. A., Ustun, M., Yigit, T., Inam, A., Burhanulhaq, M., Pazouki, A., Eghbali, F., Kermansaravi, M., Jazi, A. H. D., Mahmoudieh, M., Mogharehabed, N., Tsiotos, G., Stamou, K., Barrera Rodriguez, F. J., Rojas Navarro, M. A., Torres, O. M. O., Martinez, S. L., Tamez, E. R. M., Millan Cornejo, G. A., Flores, J. E. G., Mohammed, D. A., Elfawal, M. H., Shabbir, A., Guowei, K., So, J. B. Y., Kaplan, E. T., Kaplan, M., Kaplan, T., Pham, D. T., Rana, G., Kappus, M., Gadani, R., Kahitan, M., Pokharel, K., Osborne, A., Pournaras, D., Hewes, J., Napolitano, E., Chiappetta, S., Bottino, V., Dorado, E., Schoettler, A., Gaertner, D., Fedtke, K., Aguilar-Espinosa, F., Aceves-Lozano, S., Balani, A., Nagliati, C., Pennisi, D., Rizzi, A., Frattini, F., Foschi, D., Benuzzi, L., Parikh, C. H. I. R. A. G., Shah, H. A. R. S. H. I. L., Pinotti, E., Montuori, M., Borrelli, V., Dargent, J., Copaescu, C. A., Hutopila, I., Smeu, B., Witteman, B., Hazebroek, E., Deden, L., Heusschen, L., Okkema, S., Aufenacker, T., den Hengst, W., Vening, W., van der Burgh, Y., Ghazal, A., Ibrahim, H., Niazi, M., Alkhaffaf, B., Altarawni, M., Cesana, G. C., Anselmino, M., Uccelli, M., Olmi, S., Stier, C., Akmanlar, T., Sonnenberg, T., Schieferbein, U., Marcolini, A., Awruch, D., Vicentin, M., de Souza Bastos, E. L., Gregorio, S. A., Ahuja, A., Mittal, T., Bolckmans, R., Baratte, C., Wisnewsky, J. A., Genser, L., Chong, L., Taylor, L., Ward, S., Hi, M. W., Heneghan, H., Fearon, N., Plamper, A., Rheinwalt, K., Geoghegan, J., Ng, K. C., Kaseja, K., Kotowski, M., Samarkandy, T. A., Leyva-Alvizo, A., Corzo-Culebro, L., Wang, C., Yang, W., Dong, Z., Riera, M., Jain, R., Hamed, H., Said, M., Zarzar, K., Garcia, M., Turkcapar, A. G., Sen, O., Baldini, E., Conti, L., Wietzycoski, C., Lopes, E., Pintar, T., Salobir, J., Aydin, C., Atici, S. D., Ergin, A., Ciyiltepe, H., Bozkurt, M. A., Kizilkaya, M. C., Onalan, N. B. D., Zuber, M. N. B. A., Wong, W. J., Garcia, A., Vidal, L., Beisani, M., Pasquier, J., Vilallonga, R., Sharma, S., Parmar, C., Lee, L., Sufi, P., Sinan, H., and Saydam, M.

Subjects
Male, Pediatrics, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Adolescent, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), bariatric surgery, Context (language use), Pandemic, Medicine, Humans, Pandemics, COVID-19, pandemic, SARS-CoV-2, Nutrition and Dietetics, Manchester Cancer Research Centre, business.industry, Health Policy, ResearchInstitutes_Networks_Beacons/mcrc, Public Health, Environmental and Occupational Health, medicine.disease, Obesity, Obesity, Morbid, Treatment Outcome, Pediatrics, Perinatology and Child Health, Cohort, Female, Morbidity, business, Body mass index, Cohort study, Human
Abstract

Background: Metabolic and bariatric surgery (MBS) is an effective treatment for adolescents with severe obesity. Objectives: This study examined the safety of MBS in adolescents during the coronavirus disease 2019 (COVID-19) pandemic. Methods: This was a global, multicentre and observational cohort study of MBS performed between May 01, 2020, and October 10,2020, in 68 centres from 24 countries. Data collection included in-hospital and 30-day COVID-19 and surgery-specific morbidity/mortality. Results: One hundred and seventy adolescent patients (mean age: 17.75 ± 1.30 years), mostly females (n=122, 71.8%), underwent MBS during the study period. The mean pre-operative weight and body mass index were 122.16 ± 15.92 kg and 43.7± 7.11 kg/m2, respectively. Although majority of patients had pre-operative testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (n=146; 85.9%), only 42.4% (n=72) of the patients were asked to self-isolate pre-operatively. Two patients developed symptomatic SARS-CoV-2 infection post-operatively (1.2%). The overall complication rate was 5.3% (n=9). There was no mortality in this cohort. Conclusions: MBS in adolescents with obesity is safe during the COVID-19 pandemic when performed within the context of local precautionary procedures (such as pre-operative testing). The 30-day morbidity rates were similar to those reported pre-pandemic. These data will help facilitate the safe re-introduction of MBS services for this group of patients.

Published
2021

9. Electrochemical characterization of a novel salen-type modified electrode

Author

Vilas-Boas, M., Freire, C., Castro, B. de, and Hillman, A.R.

Subjects
Electrodes, Ion selective -- Analysis, Nickel -- Analysis, Complex compounds -- Analysis, Oxidation-reduction reaction -- Analysis, Chemicals, plastics and rubber industries
Abstract

The electrochemical properties of nickel(II) complexes with Schiff base ligands have been studied. Polymer films have been prepared by oxidatively electropolymerizing the nickel(II) complex on Pt electrodes in CH3CN/O.1 mol dm (super -3) tetraethylammonium perchlorate. Results indicate that films of poly(Ni(saltMe)) can be made to exhibit three types of charge transport modes by altering the film thickness and the experimental time scale. There is also a transition from semi-infinite diffusion to finite diffusion with time observing the potential step.

Published
1998

10. The Volatile Composition of Portuguese Propolis Towards its Origin Discrimination

Author

Soraia I. Falcão, Freire, C., Cristina Figueiredo, A., and Vilas-Boas, M.

Subjects
Volatiles, GC, Populus x canadensis, Propolis, lcsh:QK1-989, lcsh:Chemistry, lcsh:QD241-441, volatiles, lcsh:QD1-999, lcsh:Organic chemistry, lcsh:Botany, Cistus ladanifer, GC-MS
Abstract

The volatiles from thirty six propolis samples collected from six different geographical locations in Portugal (mainland, Azores archipelago and Madeira Island) were evaluated. Populus x canadensis Moenchen leaf-buds and Cistus ladanifer L. branches essential oils were comparatively analysed. The essential oils were isolated by hydrodistillation and analysed by Gas Chromatography (GC) and Gas Chromatography-Mass Spectrometry (GC-MS). Cluster analysis based on propolis samples volatiles chemical composition defined three main clusters, not related to sample site collection. Cluster I grouped 28 samples with high relative amounts of oxygen-containing sesquiterpenes (20-77%), while cluster II grouped 7 samples rich in oxygen-containing monoterpenes (9-65%) and the only sample from cluster III was monoterpene hydrocarbons rich (26%). Although Populus x canadensis and Cistus ladanifer were associated as resin sources of Portuguese propolis, other Populus species as well as plants like Juniperus genus may contribute to the resin in specific geographical locations. Soraia I. Falcão thanks Fundação para a Ciência e a Tecnologia (FCT) for the PhD grant SFRH/BD/44855/2008, financially supported by POPH-QREN and FSE. This study was partially funded by FCT, under Pest-OE/EQB/LA0023/2011 and PTDC/CVT-EPI/2473/2012. Thanks to National Federation of Portuguese Beekeepers for propolis samples. info:eu-repo/semantics/publishedVersion

Published
2016

11. A Collaborative Study for Performance Evaluation of Analytical Methods for Propolis. An IHC Trial

Author

LOPES, M., PEREYRA, A., KUNERT, C., BECKH, G., SCHREITER, H., ÇELEMLI, O. G., SORKUN, K., GEORGÉ, S, PAULO, L., GARDINI, S., SANCHO, M.t, BANKOVA, V., DASTAN, T., TANANAKI, C., NUNES, L.f., and VILAS-BOAS, M.

Subjects
Propolis
Abstract

Propolis is well known for its potential applications but also for its chemical complexity, making it very hard to define quality standards for its commercialization. Every day it is possible to find new publications on this bee product describing a new singularity, a particular substance with high bioactivity never described or a new application. This systematic increment in scientific information, although relevant, do not always enable a clear comparison between samples due to the different methods and procedures used to assess its quality parameters. To strength the scientific studies on propolis and establish a background for future definition of standards for industry, producers and laboratories, the Propolis Working group of the International Honey Commission, performed an inter-laboratory study to harmonize basic analytical methods and evaluate their accuracy and robustness. The collaborative study was accomplished by 12 laboratories from 9 countries and a company experienced in propolis trade. The samples under analysis, representing fifteen different origins around the globe, where fractionated and distributed to each laboratory, and so all participants analysed the same material. Overall, six parameters were evaluated: ashes, wax and balsamic extract on raw propolis, and total-phenolics, flavones and flavanones on propolis extract. The results were analysed following the international guidelines ISO 57251. Outliers were removed using Cochran’s test, to check the homogeneity of variances at certain levels, and Grubb test’s, to check the consistency of the laboratories average. The results revealed good reproducibility for ash, wax, balsamic content and flavones, while for flavanones the method is clearly unsuitable. Acknowledgements: Project PDR2020-1.0.1-FEADER-031734: “Diversification and Innovation on Beekeeping Production”

Published
2018

18. Application of GIS in potential beekeeping assessment: Case study of Montesinho Natural Park (Portugal)

Author

Vilas-Boas, M., Frenandez, P., Garção, H., Roque, N., Peres, M.F., Gonçalves, M., and Anjos, O.

Subjects
Beekeeping assessment, GIS
Abstract

Planners require solutions that address routine work needs and seems essential to improving efficiency and productivity. There are a great number of different factors related to beekeeper activity as well the quality and productivity of different bee products. The spatial analysis is a powerful tool for overlap and relates various levels of information on a map, and consequently a very useful for beekeeping activity planning. This work proposes and applies a methodology to potential beekeeping assessment in Montesinho Natural Park, a region in the northwest of Portugal. The beekeeping potential maps were developed with the following data sources: legal standards, vegetation, land use, topography, water resources, roads, electromagnetic fields, and some honey physico-chemical analysis. The design and implementation of spatial analysis model based on Geographic Information System (GIS) to beekeeping planning activities has already been described by Anjos et al (2014). Spatial analysis techniques allows to define the potential beekeeper map supporting the beekeeper management in this region. Anjos O, Silva G, Roque N, Fernandez P, 2014. GIS based analysis to support the beekeeping planning. Book of abstracts of the International Symposium on Bee Products 3rd edition – Annual meeting of the International Honey Commission (IHC), Faculty of medicine, University of Rijeka, p:61

Published
2015

20. 1959 Neoadjuvant chemotherapy for elderly breast cancer patients

Author

Reis Brandao Matutino, A., primary, Silva Lima, J.M., additional, Brito Silva, S., additional, Vilas Boas, M., additional, Oliveira Stephan, B., additional, Van Vairsberg, V., additional, Moreno Perez Fraile, N., additional, Barroso-Sousa, R., additional, and Senna Mano, M., additional

Published
2015
Full Text
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21. Hipotecando o futuro : o caso das doenças sexualmente transmissíveis no noroeste português

Author

Paula Remoaldo, Vilas Boas, M. A., Sousa, P. Barbosa, Santos, J. Marinho, and Universidade do Minho

Subjects
Doenças sexualmente transmissíveis, Comportamentos, Sexualidade, Geografia da saúde, Behaviours, Educação para a saúde, Sexuality, Health Education, Sexually Transmissible Diseases, Health Geography
Abstract

O presente artigo aborda a temática das Doenças Sexualmente Transmisíveis relacionando-se com os resultados inerentes a um projecto de investigação desenvolvido no Departamento de Geografia da Universidade do Minho durante o período de Março de 2002 a Março de 2003 e financiado pela Fundação Calouste Gulbenkian, Este projecto teve como objectivos principais averiguar o conhecimento e comportamentos dos alunos da Universidade do Minho (Noroeste de Portugal) relativamente a este tipo de doenças, aferir quais são as acções de prevenção que têm sido encetadas em Portugal até ao momento, elaborar e distribuir um panfleto informativo e criar um site informativo na Internet. Neste artigo apresentamos os resultados mais relevantes do inquérito por questionário auto-administrado aplicado a 677 alunos daquela Universidade, tendo sido diagnosticado um baixo conhecimento das características e implicações das doenças analisadas., This article approaches the subject of the Sexually Transmissible Diseases pursuant to the results of a research project of investigation developed in the Department of Geography from Minho University during the period from March of 2002 to March of 2003 and financed by the Calouste Gulbenkian Foundation. The principal goals of this project was to understand the knowledge and the behaviours of the students from the Minho University (Northwest of Portugal) related to this kind of diseases, to find out the preventive actions used in Portugal up to this moment, to create and distribute informative leaflets and to create informative internet site. In this article we present the most important results obtained by a self-administrated inquiry through the use of a questionnaire given to 677 students from that University. The conclusion of this questionnaire was that the students had a low knowledge of the characteristics and implications of the analysed diseases.

Published
2005

28. Electrochemical Behavior of a New Precursor for the Design of Poly[Ni(salen)]-Based Modified Electrodes

Author

Vilas-Boas, M., Santos, I. C., Freire, C., Henderson, M. J., Hillman, A. R., and Vieil, E.

Abstract

We describe the potentiodynamic preparation and subsequent characterization of poly[Ni(3-MeOsaltMe)] films (surface concentration, 3 < Γ/nmol cm-2 < 350) in acetonitrile media. Coulometric and gravimetric (electrochemical quartz crystal microbalance, EQCM) data allow one to monitor the deposition process and show that the resultant films are physically and chemically stable. Combined EQCM/probe beam deflection measurements were used to quantify the individual contributions (fluxes and population changes) of anions, cations, and solvent to the overall redox switching process. The first redox cycle for a film “rested” in the reduced state results in accumulation of anion (charge) and solvent in the film. The subsequent steady-state response is dominated by a combination of anion and solvent transfers; this takes place in two stages, the second of which involves significantly more solvent entry, to an extent dependent upon time scale. After a sequence of redox cycles, the initial thermodynamically “irreversible” behavior is restored by “resting” the film. Solvation effects are critical determinants of film redox chemistry and dynamics:  in addition to controlling the feasibility and stability of deposition, they control film ion transport rate.

Published
2003

30. Real-time intelligent decision support in intensive medicine

Author

Filipe Portela, Santos, M., Vilas-Boas, M., Rúa, F., Silva, A., Neves, J., and Universidade do Minho

Subjects
knowledge discovery in databases, Science & Technology, INTCare, Intensive care, Data mining, Real-time, Intelligent decision support systems
Abstract

Daily, a great amount of data that is gathered in intensive care units, which makes intensive medicine a very attractive field for applying knowledge discovery in databases. Previously unknown knowledge can be extracted from that data in order to create prediction and decision models. The challenge is to perform those tasks in real-time, in order to assist the doctors in the decision making process. The Data Mining models should be continuously assessed and optimized, if necessary, to maintain a certain accuracy. In this paper we present the INTCare system, an intelligent decision support system for intensive medicine and the way it was adapted to the new requirements. Some preliminary results are analysed and discussed., FCT

33. Information Modeling for Real-Time Decision Support in Intensive Medicine

Author

Santos, M. F., Filipe Portela, Vilas-Boas, M., Machado, J., Abelha, A., Neves, J., Silva, A., Rua, F., and Universidade do Minho

Subjects
Science & Technology, Real-time data acquisition, Intensive care, INTCare, Information models, Knowledge discovery in databases, Intelligent decision support systems
Abstract

Daily, a great amount of data that is gathered in intensive care units, which makes intensive medicine a very attractive field for applying knowledge discovery in databases. Previously unknown knowledge can be extracted from that data in order to create prediction and decision models. The challenge is to perform those tasks in real-time, in order to assist the doctors in the decision making process. Furthermore, the models should be continuously assessed and optimized, if necessary, to maintain a certain accuracy. In this paper we propose an information architecture to support an adjustment to the INTCare system, an intelligent decision support system for intensive medicine. We focus on the automatization of data acquisition avoiding human intervention, describing its steps and some requirements.

34. Nursing Information Architecture for Situated Decision Support in Intensive Care Units

Author

Santos, M. F., Filipe Portela, Vilas-Boas, M., Machado, J., Abelhaa, A., Neves, J., Silva, A., Rua, F., Salazar, M., Quintas, C., Cabral, A. F., and Universidade do Minho

Subjects
Science & Technology, Intensive care, INTCare, Electronic nursing record, Nursing record, Information system
Abstract

Paper-based nursing records are yet a reality in intensive care units. Due to the amount of data that is daily produced, it can be difficult and time-consuming to find the clinical information related to the patient. Therefore, an electronic nursing record is a means to increase the heath care. Moreover, it will also embed the decision support system INTCare by guaranteeing that the necessary patient’s clinical information is rapidly available. In this paper we present a specification for the electronic nursing record to be developed in Hospital Geral de Santo António, Oporto, Portugal. The electronic nursing record will have various sources of information and its integration will be possible thanks to AIDA, an Agency for Integration, Diffusion and Archiving of Medical Information, implemented at the hospital.

35. Information architecture for intelligent decision support in intensive medicine

Author

Santos, M. F., Portela, F., Vilas-Boas, M., Machado, J., Abelha, A., Neves, J., Álvaro Silva, Rua, F., and Universidade do Minho

Subjects
Real-time data acquisition, Intensive care, INTCare, Information models, Knowledge discovery in databases, Intelligent decision support systems
Abstract

Daily, a great amount of data that is gathered in intensive care units, which makes intensive medicine a very attractive field for applying knowledge discovery in databases. Previously unknown knowledge can be extracted from that data in order to create prediction and decision models. The challenge is to perform those tasks in real-time, in order to assist the doctors in the decision making process. Furthermore, the models should be continuously assessed and optimized, if necessary, to maintain a certain accuracy. In this paper we propose an information architecture to support an adjustment to the INTCare system, an intelligent decision support system for intensive medicine. We focus on the automatization of data acquisition avoiding human intervention, describing its steps and some requirements., (undefined)

36. INTCARE : multi-agent approach for real-time intelligent decision support in intensive medicine

Author

Santos, M. F., Filipe Portela, Vilas-Boas, M., and Universidade do Minho

Subjects
Artificial intelligence, Science & Technology, Agent intelligent Decision support systems, Intensive care, Multi-agent systems, Intelligent decision support Systems, Agent
Abstract

For an Intelligent Decision Support System to work in real-time, it is of great value the use of intelligent agents that cooperate with each other to accomplish their tasks. In a critical environment like an Intensive Care Unit, doctors should have the right information, at the right time, to better assist their patients. In this paper we present an architecture for a Multi-Agents System that will support doctors’ decision by in real-time, guaranteeing that all required clinical data is available and capable of predicting the patients’ condition for the next hour., Fundação para a Ciência e a Tecnologia (FCT)

38. Hourly prediction of organ failure and outcome in intensive care based on data mining techniques

Author

Vilas-Boas, M., Manuel Santos, Portela, F., Silva, Á, Rua, F., and Universidade do Minho

Subjects
Science & Technology, INTCare, Intelligent Decision Support Systems, Intensive care medicine, Clinical data mining, Hourly prediction, Real-Time prediction
Abstract

The use of Data Mining techniques makes possible to extract knowledge from high volumes of data. Currently, there is a trend to use Data Mining models in the perspective of intensive care to support physicians’ decision process. Previous results used offline data for the predicting organ failure and outcome for the next day. This paper presents the INTCare system and the recently generated Data Mining models. Advances in INTCare led to a new goal, prediction of organ failure and outcome for the next hour with data collected in real-time in the Intensive Care Unit of Hospital Geral de Santo António, Porto, Portugal. This experiment used Artificial Neural Networks, Decisions Trees, Logistic Regression and Ensemble Methods and we have achieved very interesting results, having proven that it is possible to use real-time data from the Intensive Care Unit to make highly accurate predictions for the next hour. This is a great advance in terms of intensive care, since predicting organ failure and outcome on an hourly basis will allow intensivists to have a faster and pro-active attitude in order to avoid or reverse organ failure., Fundação para a Ciência e a Tecnologia (FCT)

40. Bee Venom-Loaded Niosomes as Innovative Platforms for Cancer Treatment: Development and Therapeutical Efficacy and Safety Evaluation.

Author

Pinto MB, Pires PC, Calhelha RC, Silva AR, Sousa MJ, Vilas-Boas M, Falcão SI, Veiga F, Makvandi P, and Paiva-Santos AC

Abstract

Despite past efforts towards therapeutical innovation, cancer remains a highly incident and lethal disease, with current treatments lacking efficiency and leading to severe side effects. Hence, it is imperative to develop new, more efficient, and safer therapies. Bee venom has proven to have multiple and synergistic bioactivities, including antitumor effects. Nevertheless, some toxic effects have been associated with its administration. To tackle these issues, in this work, bee venom-loaded niosomes were developed, for cancer treatment. The vesicles had a small (150 nm) and homogeneous (polydispersity index of 0.162) particle size, and revealed good therapeutic efficacy in in vitro gastric, colorectal, breast, lung, and cervical cancer models (inhibitory concentrations between 12.37 ng/mL and 14.72 ng/mL). Additionally, they also revealed substantial anti-inflammatory activity (inhibitory concentration of 28.98 ng/mL), effects complementary to direct antitumor activity. Niosome safety was also assessed, both in vitro (skin, liver, and kidney cells) and ex vivo (hen's egg chorioallantoic membrane), and results showed that compound encapsulation increased its safety. Hence, small, and homogeneous bee venom-loaded niosomes were successfully developed, with substantial anticancer and anti-inflammatory effects, making them potentially promising primary or adjuvant cancer therapies. Future research should focus on evaluating the potential of the developed platform in in vivo models., Competing Interests: The authors declare no conflicts of interest.

Published
2024
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41. Using Analytic Hierarchy Process to Assess Beekeeping Suitability in Portuguese Controlled Areas: A First Approach.

Author

Roque N, Fernandez P, Silveira C, Vilas-Boas M, and Anjos O

Abstract

Beekeeping management is greatly influenced by spatial factors (e.g., land use/land cover, roads, or electrical energy networks), so GIS are a powerful tool to overlap and relate a variety of spatial data levels and, consequently, a very useful tool for beekeeping activity planning. This study was developed within the intervention area of three controlled zones managed by Portuguese Beekeepers Associations. The methodology, based on multi-criteria decision analysis, integrates several criteria, such as hydrographic networks, road networks, soil occupation, solar radiation, and electromagnetic radiation sources. These criteria were proposed and evaluated through online questionnaires carried out with beekeepers. Concerning the selected criteria and the respective geographical data, the most relevant were land use/land cover and water availability, with a significance of 44% and 24%, respectively. The beekeeping suitability map enabled us to evaluate the degree of compliance for the actual location of apiaries, with 60% of the apiaries being installed in high potential areas. In the context of beekeeping planning, the potential of the techniques applied seems to be an important tool for optimizing the location of apiaries and the profitability of beekeeping.

Published
2024
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42. Differentiating between Monofloral Portuguese Bee Pollens Using Phenolic and Volatile Profiles and Their Impact on Bioactive Properties.

Author

Larbi S, Aylanc V, Rodríguez-Flores MS, Calhelha RC, Barros L, Rezouga F, Seijo MC, Falcão SI, and Vilas-Boas M

Subjects
Bees, Animals, Portugal, Flavonoids, Pollen chemistry, Phenols analysis, Antioxidants pharmacology
Abstract

Nowadays, bee products are commended by consumers for their medicinal and dietary properties. This study aimed to differentiate between monofloral bee pollens originating from Portugal using phenolic and volatile profiles and investigate their antioxidant and cytotoxic activity. Total phenolic and flavonoid compounds were recorded between 2.9-35.8 mg GAE/g and 0.7-4.8 mg QE/g, respectively. The LC/DAD/ESI-MS n analytical results allowed us to identify and quantify a total of 72 compounds, including phenolic and phenylamide compounds, whereas GC-MS results revealed the presence of 49 different compounds, mostly ketones, aldehydes, esters, hydrocarbons, and terpenes. The highest DPPH • radical scavenging activity, EC 50 : 0.07 mg/mL, was recorded in the sample dominated by Castanae sp. pollen, whereas the Rubus sp. (1.59 mM Trolox/mg) and Cistaceae sp. (0.09 mg GAE/g) pollen species exhibited the highest antioxidant activity in ABTS •+ and reducing power assays, respectively. Regarding the anti-carcinogenic activity, only Carduus sp. showed remarkable cytotoxic potential against MCF-7.

Published
2023
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43. Development and Characterization of High-Absorption Microencapsulated Organic Propolis EPP-AF ® Extract (i-CAPs).

Author

Berretta AA, De Lima JA, Falcão SI, Calhelha R, Amorim NA, Gonçalves IS, Zamarrenho LG, Barud HDS, Bastos JK, De Jong D, and Vilas-Boas M

Subjects
Humans, Antioxidants pharmacology, Antioxidants analysis, Capsules, Spectroscopy, Fourier Transform Infrared, Caco-2 Cells, Ethanol, Water, Anti-Inflammatory Agents pharmacology, Propolis pharmacology, Anti-Infective Agents pharmacology
Abstract

The demand for organic and functional food continues to increase yearly. Among the available functional foods, propolis is a bee product that has various beneficial properties, including antimicrobial, antioxidant, and anti-inflammatory activities. However, it generally is only available in ethanol solution, which has poor bioavailability, as it is relatively insoluble in water. The use of such ethanol extracts is often objectionable because of the alcohol content and because they have a strong and striking taste. Development of alternatives that can efficiently and safely increase solubility in water, and that meet organic production specifications, has been a challenge. To address these concerns, microcapsules were developed using spray-dryer technology from an emulsion based on EPP-AF ® propolis and gum arabic (i-CAPS). These propolis-loaded microcapsules were characterized using FT-IR, SEM, TGA, HPLC, and spectrophotometric techniques, along with determination of antimicrobial, antioxidant, antitumor, anti-inflammatory, and antihypercholesterolemic activities, as well as permeability in in vitro models. The production system resulted in microcapsules with a spherical shape and an encapsulation efficiency of 93.7 ± 0.7%. They had IC50s of 2.654 ± 0.062 and 7.342 ± 0.058 µg/mL by FRAP and DPPH antioxidant methods, respectively. The EPP-AF ® i-CAPS also had superior antimicrobial activity against Gram-positive bacteria. Antitumor activity was calculated based on the concentration that inhibited 50% of growth of AGS, Caco-2, and MCF-7 cell strains, giving results of 154.0 ± 1.0, 117 ± 1.0, and 271.0 ± 25 µg/mL, respectively. The microcapsule presentation reduced the permeation of cholesterol by 53.7%, demonstrating antihypercholesterolemic activity, and it improved the permeability of p -coumaric acid and artepillin C. The IC50 for NO production in RAW 264.7 cells was 59.0 ± 0.1 µg/mL. These findings demonstrate the potential of this new propolis product as a food and pharmaceutical ingredient, though additional studies are recommended to validate the safety of proposed dosages.

Published
2023
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44. Thermal Stability and Antioxidant Activity of Bioactive Compounds in Bread Enriched with Bee Pollen and Bee Bread.

Author

Ertosun S, Aylanc V, Falcão SI, and Vilas-Boas M

Abstract

Bee pollen (BP) and bee bread (BB) are natural food sources containing a wide variety of bioactive compounds, complementing their rich nutritional composition. These bee products are being explored to empower functional foods, with the term functionality being dependent on the bioactive compounds added to the food matrix. However, there is not enough evidence of the effect of heat on these compounds during food processing and production and how it impacts their biological activity. Here, we enriched traditional bread by adding BP and BB at different proportions of 1 to 5% and tested the thermal stability of their bioactive compounds through several spectroscopic and chromatographic analyses. Adding bee pollen and bee bread to bread resulted in a 4 and 5-fold increase in total phenolic content, respectively. While not all the 38 phenolic and phenolamide compounds identified in the raw BP and BB were detected in the processed bread, phenolamides were found to be more resilient to baking and heat treatment than flavonoids. Still, the enriched bread's antioxidant activity improved with the addition of BP and BB. Therefore, incorporating bee products into heat-treated products could enhance the functionality of staple foods and increase the accessibility to these natural products.

Published
2023
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45. Bee pollen and bee bread nutritional potential: Chemical composition and macronutrient digestibility under in vitro gastrointestinal system.

Author

Aylanc V, Falcão SI, and Vilas-Boas M

Subjects
Bees, Animals, Pollen chemistry, Nutrients, Proteins analysis, Nutritive Value, Propolis analysis
Abstract

Bee pollen (BP) and bee bread (BB) have been often investigated as potential functional foods. Both bee products are generally characterized by their high nutritional content, with BB being referred as more digestible than BP, however, there is a lack of scientific studies proving this claim. Here, we present a comparative evaluation of the macronutrient digestibility of BP and BB after applying a simulated in vitro gastrointestinal digestive system, together with the evaluation of its nutritional value and chemical composition. The digestibility scores for protein content were calculated on average as 69% and 76% for BP and BB, respectively, whereas digestibility scores for soluble sugars varied depending on bee product and sugar type. The results demonstrated that the nutritional values of both bee products changed depending on their botanical origin but BB is more accessible in the intestinal lumen, especially regarding protein., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Miguel Vilas-Boas reports financial support was provided by Foundation for Science and Technology. Volkan Aylanc reports financial support was provided by Foundation for Science and Technology. Soraia I. Falcao reports financial support was provided by Foundation for Science and Technology. Miguel Vilas-Boas reports financial support was provided by Programa Apícola Nacional 2020–2022 (National Beekeeping Program). Miguel Vilas-Boas reports financial support was provided by European Regional Development Fund (ERDF)., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Published
2023
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47. Beneficial Effect of Bee Venom and Its Major Components on Facial Nerve Injury Induced in Mice.

Author

Er-Rouassi H, Bakour M, Touzani S, Vilas-Boas M, Falcão S, Vidal C, and Lyoussi B

Subjects
Animals, Mice, Betamethasone, Melitten pharmacology, Melitten therapeutic use, Phospholipases A2, Bee Venoms pharmacology, Bee Venoms therapeutic use, Facial Nerve Injuries drug therapy
Abstract

Peripheral nerve injury (PNI) is a health problem that affects many people worldwide. This study is the first to evaluate the potential effect of bee venom (BV) and its major components in a model of PNI in the mouse. For that, the BV used in this study was analyzed using UHPLC. All animals underwent a distal section-suture of facial nerve branches, and they were randomly divided into five groups. Group 1: injured facial nerve branches without any treatment. Group 2: the facial nerve branches were injured, and the normal saline was injected similarly as in the BV-treated group. Group 3: injured facial nerve branches with local injections of BV solution. Group 4: injured facial nerve branches with local injections of a mixture of PLA2 and melittin. Group 5: injured facial nerve branches with local injection of betamethasone. The treatment was performed three times a week for 4 weeks. The animals were submitted to functional analysis (observation of whisker movement and quantification of nasal deviation). The vibrissae muscle re-innervation was evaluated by retrograde labeling of facial motoneurons in all experimental groups. UHPLC data showed 76.90 ± 0.13%, 11.73 ± 0.13%, and 2.01 ± 0.01%, respectively, for melittin, phospholipase A2, and apamin in the studied BV sample. The obtained results showed that BV treatment was more potent than the mixture of PLA2 and melittin or betamethasone in behavioral recovery. The whisker movement occurred faster in BV-treated mice than in the other groups, with a complete disappearance of nasal deviation two weeks after surgery. Morphologically, a normal fluorogold labeling of the facial motoneurons was restored 4 weeks after surgery in the BV-treated group, but no such restoration was ever observed in other groups. Our findings indicate the potential of the use of BV injections to enhance appropriate functional and neuronal outcomes after PNI.

Published
2023
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48. Improvement of the In Vitro Cytotoxic Effect on HT-29 Colon Cancer Cells by Combining 5-Fluorouacil and Fluphenazine with Green, Red or Brown Propolis.

Author

Falcão SI, Duarte D, Diallo M, Santos J, Ribeiro E, Vale N, and Vilas-Boas M

Subjects
Humans, HT29 Cells, Fluphenazine, Fluorouracil pharmacology, Phenols pharmacology, Phenols chemistry, Propolis pharmacology, Propolis chemistry, Antineoplastic Agents pharmacology, Colonic Neoplasms drug therapy
Abstract

Cancer is regard as one of the key factors of mortality and morbidity in the world. Treatment is mainly based on chemotherapeutic drugs that, when used in targeted therapies, have serious side effects. 5-fluorouracil (5-FU) is a drug commonly used against colorectal cancer (CRC), despite its side effects. Combination of this compound with natural products is a promising source in cancer treatment research. In recent years, propolis has become the subject of intense pharmacological and chemical studies linked to its diverse biological properties. With a complex composition rich in phenolic compounds, propolis is described as showing positive or synergistic interactions with several chemotherapeutic drugs. The present work evaluated the in vitro cytotoxic activity of the most representative propolis types, such as green, red and brown propolis, in combination with chemotherapeutic or CNS drugs on HT-29 colon cancer cell lines. The phenolic composition of the propolis samples was evaluated by LC-DAD-ESI/MS n analysis. According to the type of propolis, the composition varied; green propolis was rich in terpenic phenolic acids and red propolis in polyprenylated benzophenones and isoflavonoids, while brown propolis was composed mainly of flavonoids and phenylpropanoids. Generally, for all propolis types, the results demonstrated that combing propolis with 5-FU and fluphenazine successfully enhances the in vitro cytotoxic activity. For green propolis, the combination demonstrated an enhancement of the in vitro cytotoxic effect compared to green propolis alone, at all concentrations, while for brown propolis, the combination in the concentration of 100 μg/mL gave a lower number of viable cells, even when compared with 5-FU or fluphenazine alone. The same was observed for the red propolis combination, but with a higher reduction in cell viability. The combination index, calculated based on the Chou-Talalay method, suggested that the combination of 5-FU and propolis extracts had a synergic growth inhibitory effect in HT-29 cells, while with fluphenazine, only green and red propolis, at a concentration of 100 μg/mL, presented synergism.

Published
2023
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49. Evaluation of Antioxidant and Anticancer Activity of Mono- and Polyfloral Moroccan Bee Pollen by Characterizing Phenolic and Volatile Compounds.

Author

Aylanc V, Larbi S, Calhelha R, Barros L, Rezouga F, Rodríguez-Flores MS, Seijo MC, El Ghouizi A, Lyoussi B, Falcão SI, and Vilas-Boas M

Subjects
Animals, Bees, Gas Chromatography-Mass Spectrometry, Mass Spectrometry, Phenols chemistry, Pollen chemistry, Antioxidants chemistry, Flavonoids chemistry
Abstract

Bee pollen is frequently characterized as a natural source of bioactive components, such as phenolic compounds, which are responsible for its pharmaceutical potential and nutritional properties. In this study, we evaluated the bioactive compound contents of mono- and polyfloral bee pollen samples using spectroscopic and chromatographic methods and established links with their antioxidant and antitumor activity. The findings demonstrated that the botanical origin of bee pollen has a remarkable impact on its phenolic (3-17 mg GAE/g) and flavonoid (0.5-3.2 mg QE/g) contents. Liquid chromatography-mass spectrometry analysis revealed the presence of 35 phenolic and 13 phenylamide compounds in bee pollen, while gas chromatography-mass spectrometry showed its richness in volatiles, such as hydrocarbons, fatty acids, alcohols, ketones, etc. The concentration of bioactive compounds in each sample resulted in a substantial distinction in their antioxidant activity, DPPH (EC 50 : 0.3-0.7 mg/mL), ABTS (0.8-1.3 mM Trolox/mg), and reducing power (0.03-0.05 mg GAE/g), with the most bioactive pollens being the monofloral samples from Olea europaea and Ononis spinosa . Complementarily, some samples revealed a moderate effect on cervical carcinoma (GI 50 : 495 μg/mL) and breast adenocarcinoma (GI 50 : 734 μg/mL) cell lines. This may be associated with compounds such as quercetin- O -diglucoside and kaempferol-3- O -rhamnoside, which are present in pollens from Olea europaea and Coriandrum , respectively. Overall, the results highlighted the potentiality of bee pollen to serve health-promoting formulations in the future.

Published
2023
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50. Production of chitosan-based biodegradable active films using bio-waste enriched with polyphenol propolis extract envisaging food packaging applications.

Author

De Carli C, Aylanc V, Mouffok KM, Santamaria-Echart A, Barreiro F, Tomás A, Pereira C, Rodrigues P, Vilas-Boas M, and Falcão SI

Subjects
Food Packaging methods, Humans, Plant Extracts chemistry, Polyphenols chemistry, Chitosan chemistry, Propolis
Abstract

Developing biodegradable active films has been a promising green approach to overcoming global concerns over the environmental pollution and human health caused by plastic utilization. This study aimed to develop active films based on chitosan (CS), produced from waste crayfish (Procambarus clarkii) shells enriched with bioactive extract (5-20%) of propolis (PS) and to characterize its properties, envisaging food packaging applications. The chromatographic profile of PS extract confirmed its richness, with 41 phenolic compounds. With increasing extract addition to the chitosan, the thickness of the films increased from 61.7 to 71.7 μm, causing a reduction in the light transmission rate, along with a greenish colour shift. The interactions between PS extract and CS was confirmed by infrared spectroscopy, at the same time that the microstructural integrity of the films was checked on the scanning electron microscopy micrographs. The findings also showed that addition of PS enhanced the films thermal stability and mechanical properties e.g., tensile modulus, yield strength, and stress at break. Besides, it improved the antioxidant and antimicrobial activities. Overall, CS-based composite films seem a promising green alternative to petroleum-based synthetic plastics allowing to extend the shelf life of food products due to their eco-friendly nature., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Published
2022
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