bluuebunny/crossref_metadata_2025_split huggingface dataset:
Finite element method and P-delta analysis of G+10 multistorey frame building structure by using etabs software.
Authors: Mishra Abhishek , Alam Parvej 
Published: May 2023

Abstract
Numerous techniques have been developed for the computation of approximate solutions to valuate complex boundary value problems and the Finite Element method is one of the advanced tools. In this investigation, an examination of a 3-d casing structure considering two different types of analysis i.e., F.E.M and P-delta investigation to recognize both utilizing examination methods. Taking one model and using the earthquake effect in x-direction only by using IS code 1893:2016 with seismic zone 3 then analysis it and show the result in the form of FEM. Then for another model taking the same IS code 1893:2016 and also use the effect of P-delta by IS 16700-2017 then analysis it and generate a result. Compare the both the cases result MS-excel in the form of bending moment, support reaction, storey shear and displacement and give the difference in the form of percentage. The combination load case 1 is taken as per IS 1893:2016 and for the combination load case two as per IS 16700:2017 and the result and conclusion are based on these codes which shows in the form of percentage. All the analysis process case one and case two are done in Etabs software v19.
Assessing the Urban Environmental Quality: A Case Study of Kolkata Metropolitan Area, India
Authors: Paul D , Mukherjee K , Pandey J K , Dutta Roy A 
Published: May 2023

Abstract
Rapid unplanned urbanization is always associated with environmental degradation which plays a direct role in the quality of life. Poor environmental quality is linked to premature death, cancer, long-term damage to respiratory and cardiovascular systems, etc. Using a case study of the Kolkata Metropolitan Area (KMA), the Urban Environmental Quality (UEQ) index has been constructed using a geoinformatics platform in the dimensions of the physical environment and built environment encompassing urban greenery, NO2, SO2, PM 2.5, PM 10, road induced pollution, land surface temperature, built-up area and noise followed by an exploration of its spatial pattern. KMA is the largest urban agglomeration in eastern India and the second-largest in India with a population of 13.2 million as per the 2001 census. Using the Urban Environmental Quality (UEQ) index, this study tried to find out the poor Environmental Quality area through multi-criteria analysis in KMA. Based on the relative importance of controlling the outdoor environment, criteria weights for nine parameters have been derived through the analytical hierarchy process (AHP). The UEQ index was prepared by combining parameters rating and corresponding weight. Polycentric growth of urban centers leads to appropriate spatial matches to low environmental quality. Although the UEQ in the peripheries is being affected by suburbanization in a few instances, the majority of the areas have better environmental quality.
Assessing the Tidal Influences on the Coastal Erosion-Accretion Processes in the Indian Sundarban Delta using Hydrodynamic Models and Geoinformatics
Authors: Bhui K , Bhadra T , Samanta S , Hazra S 
Published: May 2023

Abstract
The Sundarbans is currently a subject of serious concern due to the massive coastline erosion that is responsible for reshaping the geomorphological content of the islands. The coastal islands of the Sundarbans have become more susceptible to sea-level rise, cyclonic storms, and coastal flooding, which further accelerate the process of coastal erosion. Identification of erosion-prone regions is highly essential for integrated coastal zone management. Till date, no scientific study has been done to relate the coastal erosion accretion process with tidal velocity and current direction in the Indian Sundarbans. In this perspective, the present study identifies the erosion-accretion zones in the Indian Sundarbans using Landsat imageries of 2000 and 2020 using geoinformatics. It investigates the impact of tidal velocity and direction on the erosion accretion processes. MIKE 21 two-dimensional hydrodynamic model was simulated to predict tidal velocities and directions. The study finds that the sea-facing islands of the Indian Sundarbans experience the maximum amount of erosion. A significant shrinking of the land area takes place in the Bulchery, Bhangaduiani, and Dalhousie islands. The rates of erosion of these islands are 485.99 m/year, 487 m/year, and 480.65 m/year, respectively. Places with high velocity are found to be erosion-prone, while the rate of erosion significantly varied with the flow directions. Two islands, Bulchery and Dalhousie, on the south-eastern margin of the delta, suffered maximum erosion over the past decades due to the impact of high-velocity currents from the southeast and southwest, respectively. Alternatively, minor accretions were observed along with the sheltered island precincts where velocities were comparatively low. Such studies on the current drive erosion–accretion processes along the delta margin during sea-level rise appear to be of utmost importance for sustainable coastal protection and management.
Forest Fire Risk Zone Mapping in Mizoram Using RS and GIS
Authors: Pramanick N , Kundu B , Acharyya R , Mukhopadhyay A 
Published: May 2023

Abstract
In recent years, India’s Northeastern territory has been plagued by wildfires. Mizoram, as per FSI, has been among the most affected regions, with approximately 20,744-recorded wildfires. Forest fire directly or indirectly affects human health, climate change, and the environment. The forest fire risk zonation is generated utilizing remote sensing data, and Geographic Information System based on specified physical and socioeconomic factors. As part of the current study, a Geographical Information System is employed to determine forest fire risk based on predetermined physical and socioeconomic parameters. This study used three distinct models of fire risk zonation index namely FRI (Fire Risk Index), HFI (Hybrid Fire Index), and SFI (Structural Fire Index) to identify the zones in the study area under the risk of forest fires. The Indian state of Mizoram is categorized into five distinct hazard zones based on the probability of wildfire incidents. Fire alerts generated using risk models, and real-time hotspot datasets (forest fire spots) received from MODIS and USGS have been validated. According to the study’s findings, 18.84 km2 of the study area is at low risk of forest fire, 11.072 km2 is at moderate risk, and 5.38 km2 is at high risk. The probability from each metric varies since the input and weightage of the different parameters vary from one another. SFI, therefore, therefore predicts a lower frequency of high-risk wildfire-prone zones than HFI and FRI. In this research, the coefficient of discrimination (R2) is employed to assess the reliability of the projected fire indices being compared with real-time hot spots. Here, FRI possesses the highest accuracy (R2=0.892), HFI has moderate accuracy (R2=0.676), and FRI has the lowest accuracy (R2=0.629).
Beach Erosion Assessment and Tourism Viability Analysis at Mandarmani Coast, West Bengal, India
Authors: Bose A , Bardhan S 
Published: May 2023

Abstract
Mandarmani is a popular seaside tourist destination in Coastal West Bengal, India. The geomorphologically dynamic and ecologically diverse terrain falls within an active coastal belt with strong erosion but limited accretion. It is important to monitor and predict changes in beach morphology and shoreline over a short and long timescale to identify the specific drivers of such changes and their related impacts. While manual ground surveying techniques are relatively more accurate for this purpose, Remote Sensing and GIS techniques are proven to be more applicable as they are relatively accurate, cost-effective, less time-consuming and can cover a large coastal belt. The present paper analysed the beach morphology and shoreline changes along the Digha-Mandarmani coast of West Bengal using RS & GIS as a tool and fish net model to demarcate the erosion and accretion zones, to project the future shoreline position and understand the risk of climatic hazard on the tourism establishments and their sustainability in this region in future. Such a study would help in taking informed policy choices by the planners on such growing tourism destinations developed over time, often violating the existing coastal zone regulations and thus without required environmental clearances. Should be protected with public investment to safeguard the business hub, or will be allowed to face its natural consequences?
Implication of Applying IPCC AR4 and AR5 Framework for Drought-based Vulnerability and Risk Assessment in Bankura and Purulia Districts, West Bengal
Authors: Singha A , Pramanick N , Acharyya R 
Published: May 2023

AbstractIn the districts of Purulia and Bankura, this study offers a methodology for spatial assessment of vulnerable and risk-prone areas. These districts are adjacent in space and have identical geographic characteristics (other than the eastern portion of Bankura district). Vulnerability and risk assessment could be used to measure the interactions between individuals and their surroundings. This research aims to pinpoint the areas in these two districts that are particularly susceptible to natural, social, and meteorological disasters. The natural and climate-induced factors considered are rainfall distribution and vegetation conditions. The social factors are agricultural dependence, percentage of farmers, female population, labor dependence on agriculture, and literacy rate. The potential impacts of developmental and environmental degradation processes can be examined and assessed by classifying regions according to their vulnerability and risk levels. The fundamental factors impacting susceptibility and risk, which are recognized, and the associated thematic-based outputs are produced in this study based on the persistent phenomenon of drought within these two districts. The elements of vulnerability selected for this study are exposure, sensitivity, and adaptive capacity (IPCC AR4) and risk, which is the combined outcome of hazard, exposure, and vulnerability (IPCC AR5). The aim of this research is to create a simplified, scalable assessment model for evaluating both vulnerabilities and threats, which can help with drought mitigation. It has been observed from the results that the western portion of the study area (Arsha, Purulia-I, Baghmundi blocks of Purulia district) with relatively higher risk and vulnerability needs more attention for reducing the vulnerability and risk than the eastern part. As a result, this research can serve as a platform for district-level prioritizing efforts, emergency response protocols, and policy interventions aimed at reducing disaster susceptibility (mostly drought) in Bankura and Purulia districts.
Monitoring Land Use & Land Cover Change in an Urban Landscape: A Case Study of Siliguri, India
Authors: Sarkar R , Baral M 
Published: May 2023

Abstract
Information related to Land use and Land Cover (LULC) change is important for conservation of natural resources and sustainable development of an area. Siliguri is one of the populated metropolitan of West Bengal, India that has witnessed rapid urbanization. The major challenge is to identify the reason and pattern of urbanization due to inadequate and insufficient data in small cities like Siliguri. This paper has mainly assessed the LU & LC change of Siliguri municipality for the period of 1991-2001, 2001-2011 and 2011-2021. The main aim of the study is to determine the pattern and direction of future expansion. Satellite images from Landsat 4-5(1991-2011) and Landsat 8(2021) were used to extract LU & LC map of the municipality. Supervised classification using maximum likelihood classification was used to developed LULC maps. The supervised classification produced good results with overall accuracy of more than 80%. The change of the LULC pattern was obtained using change detection method. Four major classes viz. Vegetation, water body, sand and built-up have been identified. The analysis shows that maximum transformation has happened in the buildup environment from other land surface features.
Monitoring Change in Urbanization and Green Space for Eastern Indian Cities in 30 Years-A Comparison between Kolkata and Bhubaneswar
Authors: Bose S , Mazumdar A , Basu S 
Published: May 2023

Abstract
Advancement in technology has made a new sphere of geospatial exploration. Application of geoinformatics in Landuse and Landcover study has made quantitative analysis most clear. Urbanization process is an inevitable factor in developing countries like India. Last 30 years eastern India has also been changed itself in terms of urban development. Kolkata and Bhubaneswar are two most important cities in eastern India where urban growth has taken place rapidly. Landuse and landcover pattern has also changed here with time. Urbanization process of both cities has been identified using satellite images taken from USGS. Applying satellite images, this paper has investigated about the urban green spaces that has been changed with time also depth of urbanization has been studied to find out an overall ecological balance in these cities. Different LULC classes has been chosen to define the ecology. Details about landscape matrices has been applied which are necessary to get the result. Urban Index (UI), Urban expansion index (UX) and Urban green index (UGI) has been used to calculate and compare results with both the cities. Geospatial analysis has been processed maintain time interval of 15 years to better understand the change that affected on land with time. Kolkata is one of the most urbanized cities as it has large history of urbanization whereas Bhubaneswar is also has developed with time, it has been selected as smart city for maintaining a holistic growth approach. Quantitative analysis and application of LecoS made the results more specific and appropriate to understand the actual relationship between growth of cities and greenspace towards sustainability.
Nonlinear response of Equatorial Western Pacific phytoplankton blooms to ‘double-dip’ La Niña events
Authors: Chen Ruyan , Du Yan , Zhang Ying , Chi Jianwei 
Published: May 2023

Abstract
Phytoplankton in the equatorial western Pacific tends to bloom during consecutive (‘double-dip’) La Niña events with nonlinear characteristics: extremely high chlorophyll-a (Chl-a) concentrations typically occur during the second-year La Niña events even when the associated SST anomalies are significantly weakened. Photosynthetically available radiation is found to have the strongest correlation with the equatorial western Pacific Chl-a fluctuations. However, barrier layer variation is critical in driving the strong bloom events seen in the second-year La Niña, which can be further explained by the nonlinear heat advection within the isothermal layer. To improve the current climate models’ performance in simulating the western Pacific phytoplankton bloom events, it is recommended that the influence of barrier layer should be better considered.
pyGOMoDo: GPCRs modeling and docking with python
Authors: Ribeiro Rui P , Giorgetti A 
Published: May 2023

AbstractMotivationWe present pyGOMoDo, a Python library to perform homology modeling and docking, specifically designed for human GPCRs. pyGOMoDo is a python wrap-up of the updated functionalities of GOMoDo web server (https://molsim.sci.univr.it/gomodo). It was developed having in mind its usage through Jupyter notebooks, where users can create their own protocols of modeling and docking of GPCRs. In this article, we focus on the internal structure and general capabilities of pyGOMoDO and on how it can be useful for carrying out structural biology studies of GPCRs.ResultsThe source code is freely available at https://github.com/rribeiro-sci/pygomodo under the Apache 2.0 license. Tutorial notebooks containing minimal working examples can be found at https://github.com/rribeiro-sci/pygomodo/tree/main/examples.
Power and sample size calculations for rerandomization
Authors: Branson Zach , Li Xinran , Ding Peng 
Published: May 2023

Summary
Power analyses are an important aspect of experimental design, because they help determine how experiments are implemented in practice. It is common to specify a desired level of power and compute the sample size necessary to obtain that power. Such calculations are well known for completely randomized experiments, but there can be many benefits to using other experimental designs. For example, it has recently been established that rerandomization, where subjects are randomized until covariate balance is obtained, increases the precision of causal effect estimators. This work establishes the power of rerandomized treatment-control experiments, thereby allowing for sample size calculators. We find the surprising result that, while power is often greater under rerandomization than complete randomization, the opposite can occur for very small treatment effects. The reason is that inference under rerandomization can be relatively more conservative, in the sense that it can have a lower Type-I error at the same nominal significance level, and this additional conservativeness adversely affects power. This surprising result is due to treatment effect heterogeneity, a quantity often ignored in power analyses. We find that heterogeneity increases power for large effect sizes, but decreases power for small effect sizes.
Altered structural covariance of locus coeruleus in individuals with significant memory concern and patients with mild cognitive impairment
Authors: Tang Yingmei , Cao Minghui , Li Yunhua , Lin Yuting , Wu Xiaoyan , Chen Meiwei ,   for the Alzheimer’s Disease Neuroimaging Initiative, Shen Jun 
Published: May 2023

Abstract
The locus coeruleus (LC) is the site where tau accumulation is preferentially observed pathologically in Alzheimer’s disease (AD) patients, but the changes in gray matter co-alteration patterns between the LC and the whole brain in the predementia phase of AD remain unclear. In this study, we estimated and compared the gray matter volume of the LC and its structural covariance (SC) with the whole brain among 161 normal healthy controls (HCs), 99 individuals with significant memory concern (SMC) and 131 patients with mild cognitive impairment (MCI). We found that SC decreased in MCI groups, which mainly involved the salience network and default mode network. These results imply that seeding from LC, the gray matter network disruption and disconnection appears early in the MCI group. The altered SC network seeding from the LC can serve as an imaging biomarker for discriminating the patients in the potential predementia phase of AD from the normal subjects.
Local habitat type influences bumble bee pathogen loads and bee species distributions
Authors: Gratton Elena M , McNeil Darin J , Grozinger Christina M , Hines Heather M 
Published: May 2023

Abstract
Bumble bees (Hymenoptera: Apidae, Bombus Latreille) perform important ecological services in both managed and natural ecosystems. Anthropogenically induced change has altered floral resources, climate, and insecticide exposure, factors that impact health and disease levels in these bees. Habitat management presents a solution for improving bee health and biodiversity, but this requires better understanding of how different pathogens and bee species respond to habitat conditions. We take advantage of the washboard of repeated ridges (forested) and valleys (mostly developed) in central Pennsylvania to examine whether local variation in habitat type and other landscape factors influence bumble bee community composition and levels of 4 leading pathogens in the common eastern bumble bee, Bombus impatiens Cresson. Loads of viruses (DWV and BQCV) were found to be lowest in forest habitats, whereas loads of a gut parasite, Crithidia bombi, were highest in forests. Ridgetop forests hosted the most diverse bumble bee communities, including several habitat specialists. B. impatiens was most abundant in valleys, and showed higher incidence in areas of greater disturbance, including more developed, unforested, and lower floral resource sites, a pattern which mirrors its success in the face of anthropogenic change. Additionally, DNA barcoding revealed that B. sandersoni is much more common than is apparent from databases. Our results provide evidence that habitat type can play a large role in pathogen load dynamics, but in ways that differ by pathogen type, and point to a need for consideration of habitat at both macro-ecological and local spatial scales.
Troponin-T and age as predictors for mortality in patients with atrial fibrillation at the emergency department
Authors: Celik S , Bodestrom Eriksson L , Waldemar A , Mallios P , Andersson J , Lunden M , Digerfeldt C , Hubbert L 
Published: May 2023

Abstract

Funding Acknowledgements
Type of funding sources: Public hospital(s). Main funding source(s): Grants from Region Östergötland County
Medical Research Council of Southeast Sweden

Background
Atrial fibrillation/flutter (AF) is a common heart arrhythmia and medical condition at the emergency room, making up approximately 1-2% of the visits and hospital admissions. Previous studies have shown an association between elevated Troponin-T levels and mortality (1). However, there is limited data in whether mildly elevated Troponin-T levels together with age correlates with an increased mortality.

Purpose
The purpose of this study was to analyse the usage of Troponin-T and its prognostic value for mortality together with age in patients with AF at the emergency department.

Methods
A comparison of when Troponin-T was used and when multiple sampling occurred was made. A comparison of Troponin-T together with age was also made to analyse potential associations with mortality. Patients were identified through the ICD-10 code for AF (I48) and the data was collected through medical records and diagnostic registers. Patients were divided in three groups based on Troponin-T (&lt; 15 ng/L, 15-50 ng/L and &gt; 50 ng/L) and four subgroups based on age (&lt; 60, 60-69, 70-79 and &gt; 80 years). Primary outcomes were all-cause mortality at 30 days and 1 year. The association between Troponin-T, age and mortality were analysed through hazard ratio (HR) with 95% confidence interval (CI).

Results
771 patients with AF at the emergency room were included in this cohort study (median age 72, 44,6% female and median AF duration 1,3 years). There was a significant difference in Troponin-T levels between patients admitted to hospital compared to discharge (p &lt; 0,001). All-cause mortality was 1,9% (n = 15) at 1 month and 7,7% (n = 59) at 1 year. The hazard ratio (HR) was 9,86 (95% CI 1,23-78,82, p = 0,031) for Troponin-T 15-50 ng/L and 32,98 (95% CI 3,85-282,29, p &lt; 0,001) for Troponin-T &gt; 50 ng/L at 30 days compared to Troponin-T &lt; 15 ng/L. The HR at 1 year was 7,98 (95% CI 3,10-20,51, p &lt; 0,001) for Troponin-T 15-50 ng/L and 20,88 (95% CI 7,52-57,98, p &lt; 0,001) for Troponin-T &gt; 50 ng/L compared to Troponin-T &lt; 15 ng/L. For age, the HR at 1 year was 2,67 (95% CI 0,54-13,23, p = 0,229) for age 60-69 years, 3,59 (95% CI 0,82-15,80, p = 0,091) for age 70-79 years and 12,79 (95% CI 3,05-53,68, p &lt; 0,001) for age &gt; 80 years compared to age &lt; 60 years.

Conclusions
Troponin-T appears to influence several decisions taken at the emergency room for patients with AF, such as whether admission or multiple sampling is required. Troponin-T and age appears to independently indicate the risk for all-cause mortality. Higher Troponin-T were also associated with increased mortality in most age groups.