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3. EVALUATING HEALTHCARE PERFORMANCE USING FUZZY LOGIC

Author

Khan, Mohammed Sadique, Mansour, M. A., Khadar, S. D., and Mallick, Z .

Subjects
healthcare service quality, fuzzy logic, prioritization, Industrial engineering. Management engineering, T55.4-60.8
Abstract

The basic determining elements of healthcare services are the patient’s satisfaction with the service provided by hospitals, which includes behavioural and sentimental aspects and the quality and efficiency of the hospitals themselves. Patients are sometimes very confused, and so express their views very vaguely. These imprecise responses of patients add to the complexity of evaluating quality. The involvement of multiple criteria, uncertainty, and qualitative factors significantly complicates the evaluation of the quality of a healthcare service. Fuzzy logic is a method by which indistinct or hazy responses can be taken up for quality analysis, such as the prioritisation of hospitals, departments, dimensions, etc. A pilot study was carried out in this study comprising 18 private hospitals with more than 100 beds that were selected in the twin city of Bhubaneswar and Cuttack in the state of Odisha, India. Nine quality dimensions were also selected from those used in the literature. A questionnaire survey was conducted in different departments of the hospitals using the nine dimensions. Patients’ responses on a five-point Likert scale were first analysed statistically. Then ranking the dimensions and the hospitals was carried out using fuzzy analysis. The results could be used by healthcare service providers continually to improve their organisation.

Published
2020
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15. Catheter ablation versus medical therapy in atrial fibrillation: an umbrella review of meta-analyses of randomized clinical trials

Author

Titus, Anoop, Syeed, Sakil, Baburaj, Abiram, Bhanushali, Karan, Gaikwad, Pramod, Sooraj, Mannil, Saji, Anu Mariam, Mir, Wasey Ali Yadullahi, Kumar, Pramukh Arun, Dasari, Mahati, Ahmed, Mubashir Ayaz, Khan, Mohammed Omer, Titus, Aishwarya, Gaur, Janamjey, Annappah, Dilanthy, Raj, Arjun, Noreen, Nabeela, Hasdianda, Adrian, Sattar, Yasar, Narasimhan, Bharat, Mehta, Nishaki, Desimone, Christopher V., Deshmukh, Abhishek, Ganatra, Sarju, Nasir, Khurram, and Dani, Sourbha

Published
2024
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16. Effectiveness of robot-based pivotal response treatment for children with autism – A systematic review

Author

Minhajzafar Nasirabadi, Arman Mehrukh, Mazher Ali, Khan Mohammed Zeeshan Ali, and Arifuddin Ahmed

Subjects
autism, pivotal response therapy, robot-based pivotal response therapy, Psychiatry, RC435-571
Abstract

Introduction: Autism spectrum disorder has shown rising incidence and increasing cost of healthcare over the past few years. Robot-based interventions are an attempt to overcome the shortage of trained therapists for children with autism. Materials and Methods: This systematic review aims at examining the efficacy of robot-based pivotal response treatment (PRT) in the treatment of children with autism. It aimed to answer the following questions – which robots are used to administer PRT, which aspects of PRT can be targeted by robots, and what factors influence outcome in robot-based PRT. Peer-reviewed clinical trials and randomized controlled trials from the last 10 years were included. Results: The social robot NAO was the most commonly used intervention. Joint attention was the most commonly studied aspect. Outcome depended on the design of the intervention and the baseline functioning of the child with autism. Conclusion: The review found that there are modest gains in robot-based PRT and that it can be beneficial in providing therapy to children with autism.

Published
2024
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17. Readiness and Perception of Pacific Students to Mobile Phones for Higher Education

Author

Reddy, Emmenual V., Reddy, Pritika, Sharma, Bibhya, Reddy, Karuna, and Khan, Mohammed G. M.

Abstract

The emergence and advancement of Information Communication Technologies have transformed facilitation and content delivery in higher education worldwide, the Pacific region being no exception. The extensive use of mobile phones in the Pacific, especially with the student-aged populace, is gradually creating a niche for mobile learning in the education landscape. However, there is a growing concern on the effectiveness of this innovative intervention keeping in mind the digital intelligence of Pacific students. This paper explores the readiness and perception of the Pacific students using mobile devices for learning. An online questionnaire was used to collect data for this exploratory research. While the results revealed the student's willingness and positive perception to leverage on mobile phones for learning in higher education, their readiness for the mobile-driven education is rather dependent on various factors which are explored in detail. The paper concludes with recommendations for the higher education institutes and education ministries in the Pacific region.

Published
2023
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19. Evaluation of zirconia ceramics fabricated through DLP 3d printing process for dental applications

Author

Muneer Khan Mohammed, Abdulrahman Alahmari, Hisham Alkhalefah, and Mustufa Haider Abidi

Subjects
Zirconia, Ceramics, 3d printing, Mechanical properties, Characterization, Additive manufacturing, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Zirconia ceramics are versatile materials with remarkable properties such as a high thermal resistance, high fracture strength, and low thermal conductivity. They are chemically inert and highly wear- and corrosion-resistant, making them ideal for a wide range of applications in the aerospace, automotive, and biomedical fields. In dentistry, zirconia ceramics are used for veneers, crowns, bridges, and implants because of their biocompatibility. Despite the various benefits of zirconia ceramics, they are difficult to process because of their high hardness and brittleness. Additive manufacturing (AM) has proven to be a viable alternative to conventional fabrication processes, particularly for the processing of difficult-to-cut materials. AM of ceramics has gained significant attention in recent years because of its flexibility and ability to produce customized geometries rapidly and economically. In this study, the digital light processing (DLP) technique was employed to 3D print yttria-stabilized zirconia. The fabricated zirconia was evaluated and characterized for use in dental applications. Thermogravimetric analysis (TGA) and differential thermogravimetry (DTG) were performed on the green body to assess the decomposition of the additives in the slurry and determine the debinding temperatures. The as-built parts were subjected to debinding and sintering to obtain fully dense zirconia parts. The parts tended to shrink after sintering; therefore, the shrinkage ratios were evaluated and found to be 1.2817, 1.2900, and 1.3388 in the x-, y-, and z-directions, respectively. The average density after sintering was 6.031 g/cc. The flexural strength determined using four-point bending tests was 451.876 MPa, and the tensile and compressive strengths were 143 MPa and 298.4 MPa, respectively.

Published
2024
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20. Integrated global assessment of the natural forest carbon potential

Author

Mo, Lidong, Zohner, Constantin M., Reich, Peter B., Liang, Jingjing, de Miguel, Sergio, Nabuurs, Gert-Jan, Renner, Susanne S., van den Hoogen, Johan, Araza, Arnan, Herold, Martin, Mirzagholi, Leila, Ma, Haozhi, Averill, Colin, Phillips, Oliver L., Gamarra, Javier G. P., Hordijk, Iris, Routh, Devin, Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Amaral, Iêda, Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brearley, Francis Q., Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Cazzolla Gatti, Roberto, César, Ricardo G., Cesljar, Goran, Chazdon, Robin L., Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Cornejo Valverde, Fernando, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Finér, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Kucher, Dmitry, Laarmann, Diana, Lang, Mait, Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Mendoza-Polo, Irina, Miscicki, Stanislaw, Merow, Cory, Monteagudo Mendoza, Abel, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Picard, Nicolas, Piedade, Maria Teresa F., Piotto, Daniel, Pitman, Nigel C. A., Poulsen, Axel Dalberg, Poulsen, John R., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schelhaas, Mart-Jan, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Van Do, Tran, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Wiser, Susan K., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderik, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., Gann, George D., and Crowther, Thomas W.

Published
2023
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22. The global biogeography of tree leaf form and habit

Author

Ma, Haozhi, Crowther, Thomas W., Mo, Lidong, Maynard, Daniel S., Renner, Susanne S., van den Hoogen, Johan, Zou, Yibiao, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B., Niinemets, Ülo, Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brearley, Francis Q., Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Cazzolla Gatti, Roberto, César, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Valverde, Fernando Cornejo, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Finér, Leena, Fischer, Markus, Fletcher, Christine, Fridman, Jonas, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Herold, Martin, Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas T., Amaral, Iêda, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Kucher, Dmitry, Laarmann, Diana, Lang, Mait, Lewis, Simon L., Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Monteagudo Mendoza, Abel, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Picard, Nicolas, Piedade, Maria Teresa F., Piotto, Daniel, Pitman, Nigel C. A., Mendoza-Polo, Irina, Poulsen, Axel D., Poulsen, John R., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schelhaas, Mart-Jan, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Miścicki, Stanislaw, Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Van Do, Tran, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Westerlund, Bertil, Wiser, Susan K., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderick, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., and Zohner, Constantin M.

Published
2023
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23. Elucidation of Intelligent Classification Framework for Hydroponic Lettuce Deficiency Using Enhanced Optimization Strategy and Ensemble Multi-Dilated Adaptive Networks

Author

Mustufa Haider Abidi, Sanjay Chintakindi, Ateekh Ur Rehman, and Muneer Khan Mohammed

Subjects
Hydroponic, lettuce deficiency classification, ensemble multi-dilated adaptive networks, improvised honey badger algorithm, deep learning, smart farming, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Recent technological breakthroughs enable academics to suggest automating hydroponic farms to increase productivity and reduce workforce requests, hence improving agricultural profitability and output. Traditional deep learning models for detecting plant diseases may pose challenges in terms of their compatibility with embedded systems and only a few research works show their implementation on low-resource Internet of Things (IoT) devices like smartphones or Raspberry Pi. The current models have several shortcomings, including a substantial power bill, high computing power demands, quick energy dissipation, and significant storage space demands because of their intricate structures. Hence, in this paper, an intelligent hydroponic lettuce deficiency classification method is presented by employing deep learning. Initially, collected images are taken to the developed Ensemble Multi-Dilated Adaptive Networks (E-MD-ANet)-based deficiency classification network. In this network, techniques such as Visual Geometry Group 16 (VGG16), Residual Attention Network (RAN), and Convolutional Neural Network (CNN) are adopted for the extraction of the feature stage. Further, the extracted features from these networks are given to the Long Short-Term Memory (LSTM) for the deficiency classification. The parameters presented in the E-MD-ANet network are tuned using the proposed Improvised Honey Badger Algorithm (I-HBA). Thus, the hydroponic lettuce deficiency classified image is attained in the end. Here, the experiments are conducted based on the Lettuce NPK dataset which contains the, Fully Nutritional, Potassium Deficient, and Nitrogen Deficient, and Phosphorus Deficient whereas the total count of images is gathered as 12, 58, 66, and 72. Also, various evaluation parameters are taken for the analysis like precision, NPV, specificity, F1-score, FPR, FDR, accuracy, MCC, FNR, and sensitivity. In the end, the efficacy validation of the suggested task is conducted and contrasted with numerous conventional classification mechanisms to showcase the system’s efficacy. The offered approach shows elevated performance regarding accuracy and specificity rate which attains 96% and 95%. From the result analysis, the offered approach achieves greater performance while combining with the baseline techniques.

Published
2024
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25. Student Adoption of E-Learning in Higher Education Institutions in Saudi Arabia: Opportunities and Challenges

Author

Hasan, Asif, Habib, Sufyan, Khan, Mohammed Arshad, and Hamadneh, Nawaf N.

Abstract

This study aims to explore the various factors influencing students in adopting e-learning in educational institutions in Saudi Arabia and analyze the relationship between factors of students' adoption of e-learning and student behavior intention. The study also analyzes perceived opportunities and challenges faced by students in adopting an e-learning system in higher education. A well-structured questionnaire was developed, and information was collected from 509 respondents. The study found that students' behavioral intention to adopt e-learning is highly influenced by performance expectancy, effort expectancy, social influence, facilitating conditions, computer self-efficacy, and internet knowledge. The study confirms the mediating role of student engagement that can act as an alternate path for strengthening the relationship between factors of adoption of e-learning and behavioral intention. In addition, several implications and new lines of investigation are recommended for meeting the educational transformation needs and future sustainability.

Published
2023
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26. Performance enhancement in hydroponic and soil compound prediction by deep learning techniques

Author

Mustufa Haider Abidi, Sanjay Chintakindi, Ateekh Ur Rehman, and Muneer Khan Mohammed

Subjects
Hydroponic and soil compound prediction, Plant growth, Weighted features, Iteration-assisted enhanced mother optimization algorithm, Multi-scale feature fusion-based convolution autoencoder with gated recurrent unit, Electronic computers. Computer science, QA75.5-76.95
Abstract

The soil quality plays a crucial role in providing essential nutrients for crop growth and ensuring a bountiful yield. Identifying the soil composition, which includes sand, silt particles, and the mixture of clay in specific proportions, is vital for making informed decisions about crop selection and managing weed growth. Furthermore, soil pollution from emerging contaminants presents a substantial risk to water resource management and food production. Developing numerical models to comprehensively describe the transport and reactions of chemicals within both the plants and soil is of utmost importance in crafting effective mitigation strategies. To address the limitations of traditional models, this paper devises an innovative approach that leverages deep learning to predict hydroponic and soil compound dynamics during plant growth. This method not only enhances the understanding of how plants interact with their environment but also aids in making more informed decisions about agriculture, ultimately contributing to more sustainable and efficient crop production. The data needed to perform the developed hydroponic and soil compound prediction model is acquired from online resources. After that, this data is forwarded to the feature extraction phase. The weighted features, deep belief network (DBN) features, and the original features are achieved in the feature extraction stage. To get the weighted features, the weights are optimally obtained using the Iteration-assisted Enhanced Mother Optimization Algorithm (IEMOA). Subsequently, these extracted features are fed into the Multi-Scale feature fusion-based Convolution Autoencoder with a Gated Recurrent Unit (MS-CAGRU) network for hydroponic and soil compound prediction. Thus, the hydroponic and soil compound prediction data is attained in the end. Finally, the performance evaluation of the suggested work is conducted and contrasted with numerous conventional models to showcase the system’s efficacy.

Published
2024
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27. Advancing IoT Cybersecurity: Adaptive Threat Identification with Deep Learning in Cyber-Physical Systems

Author

C. Atheeq, Ruhiat Sultana, Syeda Asfiya Sabahath, and Murtuza Ahmed Khan Mohammed

Subjects
cyber-attacks, deep learning, threat detection, industrial control system, industrial IoT, cyber-physical systems, Engineering (General). Civil engineering (General), TA1-2040, Technology (General), T1-995, Information technology, T58.5-58.64
Abstract

Securing Internet of Things (IoT)-enabled Cyber-Physical Systems (CPSs) can be challenging because security solutions intended for typical IT/OT systems may not be as effective in a CPS setting. The goal of this study is to create a mechanism for identifying and attributing two-level ensemble attacks that are specifically designed for use against Industrial Control Systems (ICSs). An original ensemble deep representation learning model is combined with decision tree algorithm to identify assaults on unbalanced ICS environments at the first level. An attack attribution network, which constitutes a collection of deep neural networks, is formed at the second level. The proposed model is tested using real-world datasets, notably those pertaining to water purification and gas pipelines. The results demonstrate that the proposed strategy outperforms other strategies with comparable computing complexity and that the recommended model outperforms the existing mechanisms.

Published
2024
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33. Native diversity buffers against severity of non-native tree invasions

Author

Delavaux, Camille S., Crowther, Thomas W., Zohner, Constantin M., Robmann, Niamh M., Lauber, Thomas, van den Hoogen, Johan, Kuebbing, Sara, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B., Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, César, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Cornejo Valverde, Fernando, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Herold, Martin, Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas T., Amaral, Iêda, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon L., Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., Martynenko, Olga, Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Mendoza, Abel Monteagudo, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Picard, Nicolas, Piedade, Maria Teresa T. F., Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poorter, Lourens, Poulsen, Axel D., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Miscicki, Stanislaw, Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Do, Tran Van, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Wiser, Susan K., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderik, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., and Maynard, Daniel S.

Published
2023
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39. Inhibitor development according to concentrate after 50 exposure days in severe hemophilia: data from the European HAemophilia Safety Surveillance (EUHASS)

Author

Ay, Cihan, Male, Christoph, Hermans, Cedric, Verhamme, Peter, Lissitchkov, Toshko, Antoniades, Marios, Penka, Miroslav, Blatny, Jan, Komrska, Vladimir, Poulsen, Lone Hvitfeldt, Kampmann, Peter, Lehtinen, Anna-Elina, Susen, Sophie, Dargaud, Yesim, Biron, Christine, D'Oiron, Roseline, Harroche, Annie, Klamroth, Robert, Oldenburg, Johannes, Buehrlen, Martina, Miesbach, Wolfgang, Langer, Florian, Spannag, Patrick, Oliveri, Martin, Platokouki, Helen, Nomikou, Efrosyni, Katsarou, Olga, Garypidou, Vasileia, Economou, Marina, Nemes, Laszlo, Nolan, Beatrice, O'Connell, Niamh, Paolo, Radossi, Castaman, Giancarlo, Peyvandi, Flora, Rocino, Angiola, Zanon, Ezio, Tagliaferri, Annarita, Agnelli, Giancarlo, De Crisotofaro, Raimondo, Schinco, Piercarla, Tosetto, Alberto, Lejniece, Sandra, Gailiute, Neringa, Gatt, Alexander, Mäkelburg, Anja, Laros-van Gorkom, Britta, Brons, Paul, Leebeek, Frank W.G., Schutgens, Roger, Windyga, Jerzy, Catarino, Cristina, Aires, Anabela, Fraga, Cristina, Morais, Sara, Araújo, Fernando, Serban, Margit, Davydkin, Igor, Batorova, Angelika, Anzej Doma, Sasa, Martinez, Laura Segura, Palomo Bravo, Angeles, Ortega, Immaculada Soto, Bonanad, Santiago, Baghaei, Fariba, Astermark, Jan, Holmström, Margareta, Fontana, Pierre, Schmugge, Markus, Zulfikar, Bulent, Kavakli, Kaan, Khan, Mohammed, Benson, Gary, Lester, Will, Andrew, Page, Catherine, Bagot, Pinto, Fernando, Salta, Styliani, Farrelly, Cathy, Matthias, Mary, Laffan, Mike, Thynn Thynn, Yee, Mcdonald, Vickie, Austin, Steve, Bella, Madan, Hay, Charles, Grainger, John, Talks, Kate, Shapiro, Susie, Maclean, Rhona, Payne, Jeanette, Fischer, Kathelijn, Lassila, Riitta, Gouw, Samantha C., Hollingsworth, Rob, Lambert, Thierry, Kaczmarek, Radek, Carbonero, Diana, and Makris, Mike

Published
2024
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45. The genomic and evolutionary landscapes of anaplastic thyroid carcinoma

Author

Zeng, Peter Y.F., Prokopec, Stephenie D., Lai, Stephen Y., Pinto, Nicole, Chan-Seng-Yue, Michelle A., Clifton-Bligh, Roderick, Williams, Michelle D., Howlett, Christopher J., Plantinga, Paul, Cecchini, Matthew J., Lam, Alfred K., Siddiqui, Iram, Wang, Jianxin, Sun, Ren X., Watson, John D., Korah, Reju, Carling, Tobias, Agrawal, Nishant, Cipriani, Nicole, Ball, Douglas, Nelkin, Barry, Rooper, Lisa M., Bishop, Justin A., Garnis, Cathie, Berean, Ken, Nicolson, Norman G., Weinberger, Paul, Henderson, Ying C., Lalansingh, Christopher M., Tian, Mao, Yamaguchi, Takafumi N., Livingstone, Julie, Salcedo, Adriana, Patel, Krupal, Vizeacoumar, Frederick, Datti, Alessandro, Xi, Liu, Nikiforov, Yuri E., Smallridge, Robert, Copland, John A., Marlow, Laura A., Hyrcza, Martin D., Delbridge, Leigh, Sidhu, Stan, Sywak, Mark, Robinson, Bruce, Fung, Kevin, Ghasemi, Farhad, Kwan, Keith, MacNeil, S. Danielle, Mendez, Adrian, Palma, David A., Khan, Mohammed I., Shaikh, Mushfiq, Ruicci, Kara M., Wehrli, Bret, Winquist, Eric, Yoo, John, Mymryk, Joe S., Rocco, James W., Wheeler, David, Scherer, Steve, Giordano, Thomas J., Barrett, John W., Faquin, William C., Gill, Anthony J., Clayman, Gary, Boutros, Paul C., and Nichols, Anthony C.

Published
2024
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