| 1. |
- Nagaraja, Ch., et al.
(författare)
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Opening remarks
- 2016
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Konferensbidrag (refereegranskat)
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| 2. |
- Naqvi, Muhammad, et al.
(författare)
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Polygeneration system integrated with small non-wood pulp mills for substitute natural gas production
- 2018
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Ingår i: Applied Energy. - : Elsevier. - 0306-2619 .- 1872-9118. ; 224, s. 636-646
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Tidskriftsartikel (refereegranskat)abstract
- This study aims to examine the potential substitute natural gas (SNG) production by integrating black liquor gasification (BLG) island with a small wheat straw-based non-wood pulp mills (NPM), which do not employ the black liquor recovery cycle. For such integration, it is important to first build knowledge on expected improvements in an overall integrated non-wood pulp mill energy system using the key performance indicators. O2-blown circulating fluidized bed (CFB) gasification with direct causticization is integrated with a reference small NPM to evaluate the overall performance. A detailed economic analysis is performed together with a sensitivity analysis based on variations in the rate of return due to varying biomass price, total capital investment, and natural gas prices. The quantitive results showed considerable SNG production but significantly reduced electricity production. There is a substantial CO2 abatement potential combining CO2 capture and CO2 mitigation from SNG use replacing compressed natural gas (CNG) or gasoline. The economic performance through sensitivity analysis reflects significant dependency on both substitute natural gas production and natural gas market price. Furthermore, the solutions to address the challenges and barriers for the successful commercial implementation of BLG based polygeneration system at small NPMs are discussed. The system performance and discussion on the real application of integrated system presented in this article form a vital literature source for future use by large number of small non-wood pulp industries.
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| 3. |
- Riaz, Z., et al.
(författare)
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Lung Tumor Image Segmentation from Computer Tomography Images Using MobileNetV2 and Transfer Learning
- 2023
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Ingår i: Bioengineering. - : Multidisciplinary Digital Publishing Institute (MDPI). - 2306-5354. ; 10:8
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Tidskriftsartikel (refereegranskat)abstract
- Background: Lung cancer is one of the most fatal cancers worldwide, and malignant tumors are characterized by the growth of abnormal cells in the tissues of lungs. Usually, symptoms of lung cancer do not appear until it is already at an advanced stage. The proper segmentation of cancerous lesions in CT images is the primary method of detection towards achieving a completely automated diagnostic system. Method: In this work, we developed an improved hybrid neural network via the fusion of two architectures, MobileNetV2 and UNET, for the semantic segmentation of malignant lung tumors from CT images. The transfer learning technique was employed and the pre-trained MobileNetV2 was utilized as an encoder of a conventional UNET model for feature extraction. The proposed network is an efficient segmentation approach that performs lightweight filtering to reduce computation and pointwise convolution for building more features. Skip connections were established with the Relu activation function for improving model convergence to connect the encoder layers of MobileNetv2 to decoder layers in UNET that allow the concatenation of feature maps with different resolutions from the encoder to decoder. Furthermore, the model was trained and fine-tuned on the training dataset acquired from the Medical Segmentation Decathlon (MSD) 2018 Challenge. Results: The proposed network was tested and evaluated on 25% of the dataset obtained from the MSD, and it achieved a dice score of 0.8793, recall of 0.8602 and precision of 0.93. It is pertinent to mention that our technique outperforms the current available networks, which have several phases of training and testing.
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| 4. |
- Basir, A., et al.
(författare)
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Proficiency in Informatics and Communication Technology Application to Improve Agricultural Counseling Performance in Luwu Regency, Indonesia
- 2023
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Ingår i: E3S Web Conf.. - : EDP Sciences.
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Konferensbidrag (refereegranskat)abstract
- Informatics and Communication Technology (ICT) provides relevant agricultural information, which is essential in agricultural development attempts, in timely fashion. Aiming to find out if it is able to improve the efficiency of agricultural counseling agents, this study examined agricultural counseling agents in Luwu Regency, South Sulawesi, Indonesia. As explanatory quantitative research, simple random sampling was applied to respondents of google form questionnaire and the data were analyzed as per Structural Equation Model (SEM) and supported by smart PLS application. The result came out with R2 value of 0.868, representing the agricultural counseling agent's proficiency and ICT application signified agricultural counseling agent's efficiency at 86.8 %. It is therefore conclusive that agricultural counseling agent's efficiency in extension activities relies on both their proficiency and ICT application.
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| 5. |
- Ismail, M, et al.
(författare)
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Levels and Potential Health Hazards of Chlorinated Pesticidesin Surface Water Samples of Charsadda Area of Pakistan Using SPME-GC-ECD Technique
- 2021
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Ingår i: Water S.A.. - : MDPI. - 0378-4738 .- 1816-7950. ; 13, s. 1-14
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Tidskriftsartikel (refereegranskat)abstract
- In the present study, we determined the levels of chlorinated pesticide residues in surfacewater samples collected from the Charsadda district (KPK, Pakistan). SPME-GC-ECD with COMBIPAL CTC autosampler was used for extraction and analysis of 20 organochlorine pesticides in thecollected water samples. For maximum efficiency of the SPME procedure, several parameters werestudied, including the extraction and desorption time of the fiber, solution pH, agitation of samples,and stirring speed, etc. This method showed good liner response, with R2 values in the range of0.9887 to 0.9999 for all pesticides. This method also provided good percent recoveries at 1 µg L−1(87.5to 106.0%) and at 2 µg L−1(88.5 to 109.2%). Lower limits of detection for all 20 chlorinated pesticideswere found to be lower than their maximum permissible contamination levels. Approximately 50%of the surface water samples collected from the Charsadda district were found to be contaminatedwith the pesticides γ-BHC, heptachlor, aldrin and dieldrin, with maximum concentrations of 0.023,0.108, 0.014 and 0.013 µg L−1, respectively. For adults and children, the cancer risk from water dueto contamination by various pesticides ranged from 0 to 33.29 × 10−6. The non-carcinogenic riskfrom each pollutant in the water samples of the Charsadda district was found to be in the order ofheptachlor > aldrin > dieldrin > γ-BHC. However, the pesticides α-BHC, β-BHC, heptachlor epoxide,chlordane, endrin, 4,40-DDD, endrin ketone, 4,40-DDT, endosulfan sulfate and methoxychlor werenot detected in any of the surface water samples of investigated in the present study.
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| 6. |
- Khan, B., et al.
(författare)
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Current Progress in Conductive Hydrogels and Their Applications in Wearable Bioelectronics and Therapeutics
- 2023
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Ingår i: Micromachines. - : MDPI. - 2072-666X. ; 14:5
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Tidskriftsartikel (refereegranskat)abstract
- Wearable bioelectronics and therapeutics are a rapidly evolving area of research, with researchers exploring new materials that offer greater flexibility and sophistication. Conductive hydrogels have emerged as a promising material due to their tunable electrical properties, flexible mechanical properties, high elasticity, stretchability, excellent biocompatibility, and responsiveness to stimuli. This review presents an overview of recent breakthroughs in conductive hydrogels, including their materials, classification, and applications. By providing a comprehensive review of current research, this paper aims to equip researchers with a deeper understanding of conductive hydrogels and inspire new design approaches for various healthcare applications.
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| 7. |
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| 8. |
- Bhatti, A., et al.
(författare)
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Recognition and Classification of Handwritten Urdu Numerals Using Deep Learning Techniques
- 2023
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Ingår i: Applied Sciences. - : MDPI. - 2076-3417. ; 13:3
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Tidskriftsartikel (refereegranskat)abstract
- Urdu is a complex language as it is an amalgam of many South Asian and East Asian languages; hence, its character recognition is a huge and difficult task. It is a bidirectional language with its numerals written from left to right while script is written in opposite direction which induces complexities in the recognition process. This paper presents the recognition and classification of a novel Urdu numeral dataset using convolutional neural network (CNN) and its variants. We propose custom CNN model to extract features which are used by Softmax activation function and support vector machine (SVM) classifier. We compare it with GoogLeNet and the residual network (ResNet) in terms of performance. Our proposed CNN gives an accuracy of 98.41% with the Softmax classifier and 99.0% with the SVM classifier. For GoogLeNet, we achieve an accuracy of 95.61% and 96.4% on ResNet. Moreover, we develop datasets for handwritten Urdu numbers and numbers of Pakistani currency to incorporate real-life problems. Our models achieve best accuracies as compared to previous models in the literature for optical character recognition (OCR).
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| 9. |
- Gross, A, et al.
(författare)
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Psychological Care, Patient Education, Orthotics, Ergonomics and Prevention Strategies for Neck Pain: A Systematic Overview : Update as part of the ICON* Project.
- 2013
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Ingår i: The Open Orthopaedics Journal. - : Bentham Science Publishers Ltd.. - 1874-3250. ; 7:Suppl 4:M12, s. 530-561
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Tidskriftsartikel (refereegranskat)abstract
- To conduct an overview on psychological interventions, orthoses, patient education, ergonomics, and 1⁰/2⁰ neck pain prevention for adults with acute-chronic neck pain.Search Strategy:Computerized databases and grey literature were searched (2006-2012).Selection Criteria:Systematic reviews of randomized controlled trials (RCTs) on pain, function/disability, global perceived effect, quality-of-life and patient satisfaction were retrieved.Data Collection & Analysis:Two independent authors selected articles, assessed risk of bias using AMSTAR tool and extracted data. The GRADE tool was used to evaluate the body of evidence and an external panel to provide critical review.Main Results:We retrieved 30 reviews (5-9 AMSTAR score) reporting on 75 RCTs with the following moderate GRADE evidence. For acute whiplash associated disorder (WAD), an education video in emergency rooms (1RCT, 405participants] favoured pain reduction at long-term follow-up thus helping 1 in 23 people [Standard Mean Difference: -0.44(95%CI: -0.66 to -0.23)). Use of a soft collar (2RCTs, 1278participants) was not beneficial in the long-term. For chronic neck pain, a mind-body intervention (2RCTs, 1 meta-analysis, 191participants) improved short-term pain/function in 1 of 4 or 6 participants. In workers, 2-minutes of daily scapula-thoracic endurance training (1RCT, 127participants) over 10 weeks was beneficial in 1 of 4 participants. A number of psychosocial interventions, workplace interventions, collar use and self-management educational strategies were not beneficial.Reviewers' Conclusions:Moderate evidence exists for quantifying beneficial and non-beneficial effects of a limited number of interventions for acute WAD and chronic neck pain. Larger trials with more rigorous controls need to target promising interventions
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| 10. |
- Khan, Raja S.R., et al.
(författare)
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An Assessment of the Emissions and Global Warming Potential of Gas Turbines for LNG Applications
- 2009
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Konferensbidrag (refereegranskat)abstract
- This paper concentrates on the emissions module of what is part of a wider project dealing with various aspects of gas turbine usage as drivers for Liquefied Natural Gas (LNG) production. The framework is known as TERA, a Techno-Economic and Environmental Risk Analysis, developed at Cranfield University with the core of the study being the performance module whilst the risk, economics and environmental modules are built around the performance. Whilst TERA exists for aviation and power production no such system is available for assessment of LNG production.With mounting pressures by the way of emissions taxes, new legislation is imminent, especially in Europe. This will mean Oil & Gas firms will have to look for ways to improve their emissions in order to avoid such taxes. One way to reduce turbomachinery losses is to replace dated machinery. The selection of turbomachinery involves assessments of risk, both economic and technical, as well as environmental impacts of the new
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