EVALUATION OF DIFFERENT DOSES OF MORINGA LEAF EXTRACT THROUGH FOLIAR APPLICATION ON WHEAT CROP

This research delves into the effects of varying concentrations of moringa leaf extract on wheat growth within a 6 Marla area, employing a randomized complete block design. The primary goal is to determine the most effective moringa concentration for optimizing wheat yield. The study involves six treatments T1, T2, T3, T4, T5 and T5 with concentrations ranging from 0% to 60%, each applied to 1 Marla plots and replicated to ensure reliability. Key parameters including plant population, height, tiller count, grain count per spike, 1000-grain weight, and grain yield were examined. Recommended rates of 50 kg/acre for seed and NPK fertilizer were followed, aligning with irrigated wheat fields in Pakistan. The research aims to establish a connection between moringa extract application and wheat performance. Statistical analyses encompassed ANOVA and post hoc tests to discern significant differences among treatments. The results revealed minor fluctuations in plant population (94.667 to 97.333 plants/m²), plant height (100.33 to 103.33 cm), and tiller count (256.33 to 268.33 tillers/m²), with no statistically significant distinctions. Grain count per spike remained stable, while 1000-grain weight exhibited slight variation (34.667 to 35.667 g). Grain yield ranged from 14.2 to 15.3 kg/Marla. Overall, the study demonstrates that the application of different moringa extract concentrations did not exert substantial influence on the measured wheat growth and yield parameters

WordCrowd : a location-based application to explore the city based on geo-social media and semantics

WordCrowd is a dynamic location-based service that visualizes and analyzes geolocated social media data. By spatially clustering the data, areas of interest and their descriptions can be extracted and compared on different geographical scales. When walking through the city, the application visualizes the nearest areas of interest and presents these in a word cloud. By aggregating the data based on the country of origin of the original poster, we discover differences and similarities in tourist interest between different countries. This work is part of the project Eureca: European Region Enrichment in City Archives and Collections of Ghent University (IDLab, CartoGIS), the Technical University of Vienna (Research Group Cartography) and several city and state archives from Ghent and Vienna.(VLID)452639

Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan

peer reviewedDroughts have an adverse influence on agriculture, the environment, water supplies, and the global economy. The drought risk was computed using an integrated prospective approach: drought hazard, exposure, and vulnerability based on biophysical and socio-economic conditions over Karachi, Pakistan during 2000–2019. Drought hazard map (DHM) was created using annual Palmer drought severity Index (PDSI). Drought exposure map (DEM) was derived using population density and gross domestic product (GDP), as well as land surface temperature (LST), Normal difference vegetation index (NDVI), Night light images (NTL), land use land cover (LULC), and Distance to water were used for drought vulnerability map (DVM). An estimation of drought Risk (EDR) was derived by integrating layers of DHM, DEM, and DVM. Results showed that Central, South, and East regions of Karachi were at high risk, whereas the North East and North were less affected by the drought. The estimated average drought hazard (EDH) was 0.84, with minimum (maximum) value of 0.68 (1). Similarly, the average estimated drought exposure (estimated drought vulnerability) for EDE (EDV) was 0.27 (0.42), with the maximum value of 0.55 (0.84) and the minimum value of 0 (0). The drought risk assessment map (DRAM) shows that the average risk values is 0.18 while highest value is 0.36

Effects of safety pattern, cabin ergonomics, and sleep on work-related stress and burnout of city and transit bus drivers in Lahore, Pakistan

The health and working environment of bus drivers is compromised in low-middle-income countries like Pakistan which leads to burnout and excessive Road Traffic Crashes. Hence, this study delves into factors affecting their safe operations from health and work environment perspectives and measures their associated stress and Burnout level. In a study of four hundred and ninety-nine (499), 86% city and 14% transit bus drivers are surveyed through a questionnaire. Stress is estimated for city and transit bus drivers, using the Effort/Reward Imbalance Model (ERI) of Siegrist, and burnout is calculated using the Copenhagen Burnout Inventory (CBI). For the determination of important determinants, descriptive and regression analyses are conducted. Findings show that stress has emerged as a negative factor for the physical and psychological health of city and transit bus drivers. Results based on bus drivers’ responses suggest that organisational awareness and emphasis on health and safety levels can significantly reduce driver stress and burnout

BioSimulators: a central registry of simulation engines and services for recommending specific tools

Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for simulating various subsystems and scales remain siloed by different software tools. For example, each tool must be executed through a distinct interface. To help investigators find and use simulation tools, we developed BioSimulators (https://biosimulators.org), a central registry of the capabilities of simulation tools and consistent Python, command-line and containerized interfaces to each version of each tool. The foundation of BioSimulators is standards, such as CellML, SBML, SED-ML and the COMBINE archive format, and validation tools for simulation projects and simulation tools that ensure these standards are used consistently. To help modelers find tools for particular projects, we have also used the registry to develop recommendation services. We anticipate that BioSimulators will help modelers exchange, reproduce, and combine simulations

Design and baseline characteristics of the finerenone in reducing cardiovascular mortality and morbidity in diabetic kidney disease trial

Background: Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. Patients and Methods: The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate >= 25 mL/min/1.73 m(2) and albuminuria (urinary albumin-to-creatinine ratio >= 30 to <= 5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level alpha = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Conclusions: FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049

The Direct and Indirect Effects of Domestic Violence on the Maternal-Child Relationship & Intellectual Process of Pre-School Age Children’s

The study investigated the unswerving besides the incidental effect of domestic violence on a child’s Logical Operations. This study took 100 participants also children, whose age is between 3 or 5-year-old in which (44 Boys and 56 Girls) conscripted from the overall society. Domestic violence is used as a dependent variable and negatively related to the home environment and Trauma &amp; Mental Depression. Children who witness domestic violence have poorer verbal ability whereas controlling the SES and child abuse have significantly affected visual-spatial abilities. The two scores WPPSI-R and PPVT-R score are used for MANCOVA results for primary data for witness and non-witness of domestic violence. In the end, internal vehemence circuitously precious the mutual type of rational skills over the impression on parental downheartedness besides the intellectual superiority of the household atmosphere

Look Into Past: A Different Perspective to Explore Cultural Heritage Datasets

Newspapers contain a wealth of historical information in the form of articles and illustrations. Library and cultural heritage institutions have been digitizing their collections for decades to enable web-based access and retrieval of information. Since digitized collections only include page-level metadata, it is challenging to find information about a specific context. In order to address this challenge, article-level information was segmented based on layout analysis techniques. Afterward, an image classification algorithm is used to filter articles that contain building images. An image's caption can provide information about its location. To validate the location information, a textual query is used to search Google for recent images of a historical location. By matching image features, irrelevant results will be filtered out. The historic images were then rephotographed, which is a notoriously challenging and complex process. These results can also be used by researchers in the humanities and cultural heritage to investigate spatiotemporal changes within a region or place