WEARABLE TECHNOLOGIES: THE IMPLICATIONS OF UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY IN CROWD SOURCING LOGISTICS

Information communication technologies have added a tremendous amount of impetus to the concept of crowdsourcing and as a result organizations all over the world are able to find the solution to the most current and significant problems through the general public. In this study, the unified theory of acceptance and use of technology (UTAUT) has been used to find user intention to use crowdsourcing applications and their acceptance of wearable devices for collaborative innovation and logistics performance. Data has been collected from China through survey method. Results have empirically supported the conceptual model. The implication of this study will enhance the crowdsourcing in logistics

WEARABLE TECHNOLOGIES: THE IMPLICATIONS OF UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY IN CROWD SOURCING LOGISTICS

Information communication technologies have added a tremendous amount of impetus to the concept of crowdsourcing and as a result organizations all over the world are able to find the solution to the most current and significant problems through the general public. In this study, the unified theory of acceptance and use of technology (UTAUT) has been used to find user intention to use crowdsourcing applications and their acceptance of wearable devices for collaborative innovation and logistics performance. Data has been collected from China through survey method. Results have empirically supported the conceptual model. The implication of this study will enhance the crowdsourcing in logistics

Impact of Renewable and Non-Renewable Energy Resources on CO2 Emission: Empirical Evidence from SAARC

When assessing sustainability performance, researchers often ignore the implications of combining energy, economic, and environmental factors. To address this void, we assess the consequence of energy dis-aggregation proceeding carbon emissions in SAARC nations. The majority of energy resources are renewable and non-renewable, which contributes to a rise in carbon dioxide emissions. This study aims to provide a thorough understanding of the energy utilization dioxide emissions nexus. The panel data sets covering the period 1971-2020 for the SAARC nations have been used for analysis. The data set was used to assess the effect of renewable and non-renewable energy consumption on emissions of carbon dioxide by factoring in other CO2-producing variables such as urbanization, primary and secondary education, globalization, and economic development. Panel Fully Modified Ordinary Least Squares (FMOLS) was used to examine the connection. According to research comparing the impact of renewable and non-renewable energy consumption upon Carbon dioxide emission, whereas non-renewable energy consumption increases CO2 emissions, renewable energy consumption decreases them. Urbanization, globalization, primary education, and economic growth increase carbon emissions, while secondary education contributes to environmental quality improvement via CO2 reduction. Therefore, increasing the usage of renewable energy and enhancing awareness through higher education may help SAARC nations to reduce pollution emissions

Quinpirole-mediated regulation of dopamine D2 receptors inhibits glial cell-induced neuroinflammation in cortex and striatum after brain injury

Brain injury is a significant risk factor for chronic gliosis and neurodegenerative diseases. Currently, no treatment is available for neuroinflammation caused by the action of glial cells following brain injury. In this study, we investigated the quinpirole-mediated activation of dopamine D2 receptors (D2R) in a mouse model of traumatic brain injury (TBI). We also investigated the neuroprotective effects of quinpirole (a D2R agonist) against glial cell-induced neuroinflammation secondary to TBI in adult mice. After the brain injury, we injected quinpirole into the TBI mice at a dose of 1 mg/kg daily intraperitoneally for 7 days. Our results showed suppression of D2R expression and deregulation of downstream signaling molecules in ipsilateral cortex and striatum after TBI on day 7. Quinpirole administration regulated D2R expression and significantly reduced glial cell-induced neuroinflammation via the D2R/Akt/glycogen synthase kinase 3 beta (GSK3-β) signaling pathway after TBI. Quinpirole treatment concomitantly attenuated increase in glial cells, neuronal apoptosis, synaptic dysfunction, and regulated proteins associated with the blood−brain barrier, together with the recovery of lesion volume in the TBI mouse model. Additionally, our in vitro results confirmed that quinpirole reversed the microglial condition media complex-mediated deleterious effects and regulated D2R levels in HT22 cells. This study showed that quinpirole administration after TBI reduced secondary brain injury-induced glial cell activation and neuroinflammation via regulation of the D2R/Akt/GSK3-β signaling pathways. Our study suggests that quinpirole may be a safe therapeutic agent against TBI-induced neurodegeneration

Urban flood risk assessment using AHP and geospatial techniques in swat Pakistan

Abstract The rapid urbanization and changing climate patterns in Swat, Pakistan have increased the vulnerability of urban areas to flood events. Accurate assessment of flood risk is crucial for effective urban planning and disaster management. In current research study flood hazard index was developed using analytic hierarchy process (AHP) technique in combination with the geographical information system (GIS) environment in Swat, Pakistan. The study integrates various data sources, including topographic maps, land use/land cover information, rainfall data, and infrastructure data, to develop a comprehensive flood risk assessment model. The weights obtained from the AHP analysis are combined with geospatial data using a geographic information system (GIS) to generate flood risk maps. The flood hazard levels were categorized into five distinct classes: very low, low, moderate, high, and very high. Using the GIS-AHP approach, higher weights were assigned to rainfall, distance to river, elevation, and slope in comparison to NDVI, TWI, LULC, curvature, and soil type. The flood hazard map was then reclassified for each parameter. By overlaying these maps, it was determined that 5.6% of the total area is classified as very high flood risk, 52% as high risk, 39.3% as moderate risk, and 3.1% as low risk. The developed comprehensive flood risk assessment model in current study can identify high-risk areas, prioritize mitigation measures, and aid in effective urban planning and disaster management

Deciphering the Potential Neuroprotective Effects of Luteolin against Aβ1–42-Induced Alzheimer’s Disease

The current study was undertaken to unveil the protective effects of Luteolin, a natural flavonoid, against amyloid-beta (Aβ1–42)-induced neuroinflammation, amyloidogenesis, and synaptic dysfunction in mice. For the development of an AD mouse model, amyloid-beta (Aβ1–42, 5 μL/5 min/mouse) oligomers were injected intracerebroventricularly (i.c.v.) into mice’s brain by using a stereotaxic frame. After that, the mice were treated with Luteolin for two weeks at a dose of 80 mg/kg/day. To monitor the biochemical changes, we conducted western blotting and immunofluorescence analysis. According to our findings, the infusion of amyloid-beta activated c-Jun N-terminal kinases (p-JNK), p38 mitogen-activated protein kinases, glial fibrillary acidic protein (GFAP), and ionized calcium adaptor molecule 1 (Iba-1) in the cortex and hippocampus of the experimental mice; these changes were significantly inhibited in Aβ1–42 + Luteolin-treated mice. Likewise, we also checked the expression of inflammatory markers, such as p-nuclear factor-kB p65 (p-NF-kB p65 (Ser536), tissue necrosis factor (TNF-α), and Interleukin1-β (IL-1β), in Aβ1–42-injected mice brain, which was attenuated in Aβ1–42 + Luteolin-treated mice brains. Further, we investigated the expression of pro- and anti-apoptotic cell death markers such as Bax, Bcl-2, Caspase-3, and Cox-2, which was significantly reduced in Aβ1–42 + Lut-treated mice brains compared to the brains of the Aβ-injected group. The results also indicated that with the administration of Aβ1–42, the expression levels of β-site amyloid precursor protein cleaving enzyme (BACE-1) and amyloid-beta (Aβ1–42) were significantly enhanced, while they were reduced in Aβ1–42 + Luteolin-treated mice. We also checked the expression of synaptic markers such as PSD-95 and SNAP-25, which was significantly enhanced in Aβ1–42 + Lut-treated mice. To unveil the underlying factors responsible for the protective effects of Luteolin against AD, we used a specific JNK inhibitor, which suggested that Luteolin reduced Aβ-associated neuroinflammation and neurodegeneration via inhibition of JNK. Collectively, our results indicate that Luteolin could serve as a novel therapeutic agent against AD-like pathological changes in mice

Short run coefficient estimates of ΔPOS and ΔNEG in nonlinear import demand model (G).

Short run coefficient estimates of ΔPOS and ΔNEG in nonlinear import demand model (G).</p