| 1. |
- Feigin, Valery L., et al.
(författare)
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Global, regional, and national burden of stroke and its risk factors, 1990-2019 : a systematic analysis for the Global Burden of Disease Study 2019
- 2021
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Ingår i: Lancet Neurology. - : Elsevier. - 1474-4422 .- 1474-4465. ; 20:10, s. 795-820
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Tidskriftsartikel (refereegranskat)abstract
- Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12.2 million (95% UI 11.0-13.6) incident cases of stroke, 101 million (93.2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6.55 million (6.00-7.02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11.6% [10.8-12.2] of total deaths) and the third-leading cause of death and disability combined (5.7% [5.1-6.2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70.0% (67.0-73.0), prevalent strokes increased by 85.0% (83.0-88.0), deaths from stroke increased by 43.0% (31.0-55.0), and DALYs due to stroke increased by 32.0% (22.0-42.0). During the same period, age-standardised rates of stroke incidence decreased by 17.0% (15.0-18.0), mortality decreased by 36.0% (31.0-42.0), prevalence decreased by 6.0% (5.0-7.0), and DALYs decreased by 36.0% (31.0-42.0). However, among people younger than 70 years, prevalence rates increased by 22.0% (21.0-24.0) and incidence rates increased by 15.0% (12.0-18.0). In 2019, the age-standardised stroke-related mortality rate was 3.6 (3.5-3.8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3.7 (3.5-3.9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62.4% of all incident strokes in 2019 (7.63 million [6.57-8.96]), while intracerebral haemorrhage constituted 27.9% (3.41 million [2.97-3.91]) and subarachnoid haemorrhage constituted 9.7% (1.18 million [1.01-1.39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79.6 million [67.7-90.8] DALYs or 55.5% [48.2-62.0] of total stroke DALYs), high body-mass index (34.9 million [22.3-48.6] DALYs or 24.3% [15.7-33.2]), high fasting plasma glucose (28.9 million [19.8-41.5] DALYs or 20.2% [13.8-29.1]), ambient particulate matter pollution (28.7 million [23.4-33.4] DALYs or 20.1% [16.6-23.0]), and smoking (25.3 million [22.6-28.2] DALYs or 17.6% [16.4-19.0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries.
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| 2. |
- Yadav, Jitendra Kumar, et al.
(författare)
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Isonicotinate-Zn(ii)/Cd(ii) bridged dicobaloximes : synthesis, characterization and electrocatalytic proton reduction studies
- 2023
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Ingår i: New Journal of Chemistry. - 1144-0546. ; 47:44, s. 20583-20593
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Tidskriftsartikel (refereegranskat)abstract
- Herein, we present the synthesis of two new dicobaloxime complexes, [{ClCo(dmgH)2(4-PyCOO)}2Zn(DMF)2] (1) and [{ClCo(dmgH)2(4-PyCOO)}2Cd(H2O)3(DMF)].4H2O (2) bridged by isonicotinate-Zn(ii) and Cd(ii) moieties. These complexes were synthesized upon reaction of a monomeric chlorocobaloxime [ClCo(dmgH)2(4-PyCOOH)] with Zn(NO3)2·6H2O and Cd(OAc)2·2H2O in a methanol/DMF solvent mixture. Both complexes are fully characterized by UV-Visible, FT-IR, and NMR (1H and 13C{1H}) spectral studies. The solid-state structures are also determined by single-crystal X-ray crystallography. In complex 1, Zn (ii) metal ions reside within a four coordinated distorted tetrahedral geometry (ZnO4) formed by two oxygen atoms of isonicotinate connected to cobaloxime units and two oxygen atoms of DMF molecules. In complex 2, the Cd(ii) metal ion exhibited distorted octahedral geometry (CdO6), with two oxygen atoms of isonicotinate that connect to cobaloxime units, one DMF, and three water molecules. The Co(iii) metal center of cobaloxime units in both complexes 1 and 2 displayed distorted octahedral geometry with two dmgH units in the equatorial plane whereas chloride ion (Cl−) and the nitrogen atom of isonicotinate occupy the axial coordination sites. The redox behaviour of both complexes was studied by cyclic voltammetry at variable scan rates in deoxygenated DMF/H2O (95 : 5) solution using 0.1 M TBAPF6 as the supporting electrolyte and a glassy carbon (GC) electrode as the working electrode. Both complexes exhibited similar redox properties and two redox couples CoIII/II and CoII/CoI are observed in the reductive scan. Furthermore, complexes are investigated as electrocatalysts for proton reduction in the presence of acetic acid (AcOH) and complex 1 exhibited impressive electrocatalytic activity compared to complex 2 and monomer. The stability study indicated the retention of molecular structural integrity during HER electrocatalytic experiments.
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| 3. |
- Joshi, Bhupendra, et al.
(författare)
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A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration
- 2024
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Ingår i: Scientific Reports. - : Springer Nature. - 2045-2322. ; 14
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Tidskriftsartikel (refereegranskat)abstract
- Suspended sediment concentration prediction is critical for the design of reservoirs, dams, rivers ecosystems, various operations of aquatic resource structure, environmental safety, and water management. In this study, two different machine models, namely the cascade correlation neural network (CCNN) and feedforward neural network (FFNN) were applied to predict daily-suspended sediment concentration (SSC) at Simga and Jondhara stations in Sheonath basin, India. Daily-suspended sediment concentration and discharge data from 2010 to 2015 were collected and used to develop the model to predict suspended sediment concentration. The developed models were evaluated using statistical indices like Nash and Sutcliffe efficiency coefficient (NES), root mean square error (RMSE), Willmott’s index of agreement (WI), and Legates–McCabe’s index (LM), supplemented by a scatter plot, density plots, histograms and Taylor diagram for graphical representation. The developed model was evaluated and compared with CCNN and FFNN. Nine input combinations were explored using different lag-times for discharge (Qt-n) and suspended sediment concentration (St-n) as input variables, with the current suspended sediment concentration as the desired output, to develop CCNN and FFNN models. The CCNN4 model with 4 lagged inputs (St-1, St-2, St-3, St-4) outperformed the other developed models with the lowest RMSE = 95.02 mg/l and the highest NES = 0.0.662, WI = 0.890 and LM = 0.668 for the Jondhara Station while the same CCNN4 model secure as the best with the lowest RMSE = 53.71 mg/l and the highest NES = 0.785, WI = 0.936 and LM = 0.788 for the Simga Station. The result shows the CCNN model was better than the FFNN model for predicting daily-suspended sediment at both stations in the Sheonath basin, India. Overall, CCNN showed better forecasting potential for suspended sediment concentration compared to FFNN at both stations, demonstrating their applicability for hydrological forecasting with complex relationships.
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| 4. |
- Rajput, Jitendra, et al.
(författare)
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Diagnostic and Socio-economic Analysis of Bhimsagar Irrigation Scheme
- 2021
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Ingår i: Ecology, Environment and Conservation. - India : EM International. - 0971-765X. ; 27:suppl., s. S320-S330
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Tidskriftsartikel (refereegranskat)abstract
- Faulty operation and poor upkeep of irrigation infrastructures have caused low irrigation efficiency inmany major and medium schemes globally. Low performance is mainly caused due to poor physicalcondition and low maintenance. This study was done to carry out the diagnostic and socio-economic analysisof the Bhimsagar irrigation scheme. In the diagnostic analysis, operational problems in the entire canalnetwork of Bhimsagar irrigation project were assessed by conducting several field surveys and by holdingfarmers meeting. As agriculture developmental schemes in any area cause changes in the economic conditionof farmers. The socio-economic survey was undertaken on total of 600 families engaged in agriculture andcovering 3118 persons/farmers in the scheme’s entire command area. Results revealed that water deliveryand distribution system is not satisfactory. Head reach farmers utilize more water than the middle and tailend section without considering the actual crop water demand. Overall, irrigation efficiency was 27 %,emphasizing that current operational and maintenance policies should be changed to improve systemsperformance. Agriculture is the primary income source of people, and their living standard is inadequate.New technology adoption is rare due to poor education and knowledge on recent developments in agriculturetechnologies.
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| 5. |
- Amizhtan, S. K., et al.
(författare)
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Experimental Study and ANN Analysis of Rheological Behavior of Mineral Oil-Based SiO2 Nanofluids
- 2022
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Ingår i: IEEE transactions on dielectrics and electrical insulation. - : Institute of Electrical and Electronics Engineers (IEEE). - 1070-9878 .- 1558-4135. ; 29:3, s. 956-964
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Tidskriftsartikel (refereegranskat)abstract
- This work reports an experimental and theoretical analysis of the rheological properties of mineral oil-based SiO2 nanofluid for their potential applications in transformer insulation. The flow electrification mechanism on the nanofluids with different surfactants such as cetyl trimethyl ammonium bromide (CTAB), oleic acid, and Span 80 is studied using a spinning disk technique. The results show a higher streaming current for the nanofluids with CTAB as a surfactant compared to oleic acid and Span 80. The rheological behavior of nanofluids is explored with the double gap concentric cylinder geometry. The variation of shear stress with shear rate follows a power law relationship along with a yield stress observed for all the nanofluids. A transition is seen from storage modulus to dominant loss modulus for the nanofluids during the frequency sweep analysis, whereas no transition is observed in the case of mineral oil. In addition, regression analysis using artificial neural network (ANN) algorithms are performed on the experimentally measured viscosity of the nanofluids in order to estimate theoretical parameters and provide insights into the streaming current formation. The desirable rheological characteristics of nanofluids are identified for achieving enhanced insulation performance in transformers.
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| 6. |
- Berner, Logan T., et al.
(författare)
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The Arctic plant aboveground biomass synthesis dataset
- 2024
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Ingår i: Scientific Data. - : Springer Nature. - 2052-4463. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Plant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic plant aboveground biomass synthesis dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass (g m−2) on 2,327 sample plots from 636 field sites in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
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| 7. |
- Kishore, Kamal, et al.
(författare)
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Technological challenges in nanoparticle-modified geopolymer concrete : a comprehensive review on nanomaterial dispersion, characterization techniques and its mechanical properties
- 2023
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Ingår i: Case Studies in Construction Materials. - : Elsevier. - 2214-5095. ; 19
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Tidskriftsartikel (refereegranskat)abstract
- The use of geopolymer-based concrete has many advantages over conventional cement concrete. Geopolymer, which derives its basic ingredients from industrial waste, has considerable opportunity to dump the industrial waste and reduce the carbon dioxide emissions that could be emitted during cement manufacturing. Geopolymer concrete is potentially suitable for structural engineering applications; however, its unskilled manufacturing leads to several deficits such as cracking, weak mechanical characteristics, and reduced serviceability of the geopolymer structures. Nanomaterials are now being applied and developed in the realm of materials, where they have shown strong filling effects on composite materials that significantly enhance the integrity of composite materials. Research into how nanomaterials might enhance the performance of geopolymer concrete (GPC) in engineering applications is gaining a lot of attention. The past literature revealed that the GPC characteristics can be enhanced by adding nanoparticles; thereby increasing its engineering applications in practical usage. This study highlighted the primary technical issues of nanomaterial-or modified GPC during the last decade in light of widespread fascination with the subject and the need to provide an up-to-date and comprehensive study for future related research. This review study has covered the most up-to-date information and data on geopolymer concrete, including its methods of dispersion, characterization methodologies, interface mechanisms of nanoparticles, and mechanical characteristics. Concurrently, the limitations and major issues associated with using nanomaterials to modify GPC in practical applications are thoroughly examined. Finally, the future potential and difficulties of this area of study are highlighted.
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| 8. |
- Marunchenko, Alexandr, et al.
(författare)
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Charge Trapping and Defect Dynamics as Origin of Memory Effects in Metal Halide Perovskite Memlumors
- 2024
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Ingår i: Journal of Physical Chemistry Letters. - 1948-7185. ; 15:24, s. 6256-6265
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Tidskriftsartikel (refereegranskat)abstract
- Large language models for artificial intelligence applications require energy-efficient computing. Neuromorphic photonics has the potential to reach significantly lower energy consumption in comparison with classical electronics. A recently proposed memlumor device uses photoluminescence output that carries information about its excitation history via the excited state dynamics of the material. Solution-processed metal halide perovskites can be used as efficient memlumors. We show that trapping of photogenerated charge carriers modulated by photoinduced dynamics of the trapping states themselves explains the memory response of perovskite memlumors on time scales from nanoseconds to minutes. The memlumor concept shifts the paradigm of the detrimental role of charge traps and their dynamics in metal halide perovskite semiconductors by enabling new applications based on these trap states. The appropriate control of defect dynamics in perovskites allows these materials to enter the field of energy-efficient photonic neuromorphic computing, which we illustrate by proposing several possible realizations of such systems.
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| 9. |
- Rout, Jitendra Kumar, et al.
(författare)
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Understanding large-scale network effects in detecting review spammers
- 2024
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Ingår i: IEEE Transactions on Computational Social Systems. - : Institute of Electrical and Electronics Engineers (IEEE). - 2329-924X. ; 11:4, s. 4994-5004
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Tidskriftsartikel (refereegranskat)abstract
- Opinion spam detection is a challenge for online review systems and social forum operators. Opinion spamming costs businesses and people money since it deceives customers as well as automated opinion mining and sentiment analysis systems by bestowing undeserved positive opinions on target firms and/or bestowing fake negative opinions on others. One popular detection approach is to model a review system as a network of users, products, and reviews, for example using review graph models. In this article, we study the effects of network scale on network-based review spammer detection models, specifically on the trust model and the SpammerRank model. We then evaluate both network models using two large publicly available review datasets, namely: the Amazon dataset (containing 6 million reviews by more than 2 million reviewers) and the UCSD dataset (containing over 82 million reviews by 21 million reviewers). It has been observed thatSpammerRank model provides a better scaling time for applications requiring reviewer indicators and in case of trust model distributions are flattening out indicating variance of reviews with respect to spamming. Detailed observations on the scaling effects of these models are reported in the result section.
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| 10. |
- Samia, Pauline, et al.
(författare)
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Telemedicine for Individuals with epilepsy: Recommendations from the International League Against Epilepsy Telemedicine Task Force.
- 2023
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Ingår i: Seizure. - : Elsevier BV. - 1532-2688 .- 1059-1311. ; 106, s. 85-91
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Forskningsöversikt (refereegranskat)abstract
- Worldwide, People with Epilepsy (PWE) are confronted with several barriers to face-to-face consultations. These obstacles hamper appropriate clinical follow-up and also increase the treatment gap for Epilepsy. Telemedicine holds the potential to enhance management as follow-up visits for PWE are focused on more on clinical history and counselling rather than physical examination. Besides consultation, telemedicine can also be used for remote EEG diagnostics and tele-neuropsychology assessments. In this article, the Telemedicine Task Force of the International League Against Epilepsy (ILAE) outlines recommendations regarding optimal practice in utilizing in the management of individuals with epilepsy. We formulated recommendations for minimum technical requirements, preparing for the first tele-consultation and the specificities for follow-up consultations. Special considerations are necessary for specific populations, including paediatric patients, patients who are not conversant with tele-medicine and those with intellectual disability. Telemedicine for individuals with epilepsy should be vigorously promoted with the aim of improving the quality of care and ultimately reduce the wide clinician access related treatment gap across several regions of the globe.
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