bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geo-statistical analysis of ground water fluctuations for sustainable management of groundwater resources within the chaliyar basin, southwest India
Authors: Ansari M I , Thakural L N , Hassan Q 
Published: October 2022

Abstract
Ground water is the primary source for potable water and it forms the fundamental connecting link amongst the Climates, Society & Natural Ecosystem. Phenomenon like climate change has a marked influence on ground water recharge giving rise to spatial variation in ground water levels. Today, fluctuations in ground water level have become a major problem and their study is of prime importance from water security & sustainable development point of view. To meet such challenges, geospatial technologies have proven to be an effective enabler i.e. spatial interpolation mechanism using geo-statistical analysis has become very popular. The Kriging method is an example of such techniques. Hence, this paper attempts to study & analyze the spatio-temporal variations of ground water levels pertaining to 29 observation wells located in Chaliyar basin, Southwest India for which Geo-statistical analysis was performed using ordinary Kriging method in Arc GIS environment. Finally, the spatial maps showing the ground water level fluctuations were generated for the Chaliyar basin which could be used for sustainable management & planning of Ground water resources within the basin.
Measuring the Level of Road Safety through Road Safety Audit and Star Rating Method – A Case Study from Himalayan Expressway
Authors: Saurabh Kumar S , Sharma Sunil 
Published: October 2022

Abstract
National Highways (NH) carry the major portion of the total traffic in India. Road safety on NH is therefore of paramount importance. In the present study, a road safety audit has been performed for a 4-lane NH using Star Rating method. ViDA software developed by International Road Assessment Programme (iRAP) is used for finding the Star Rating of the road sections. This safety rating has been determined for four road user types: Vehicle occupant, Motorcyclist, Pedestrian and Bicyclist. The purpose of the study is to measure the level of road safety and lower the severity level by proposing countermeasures. The case study is a five Kilometre (km) section of NH-5 from Sanwara toll plaza to Jabali in the state of Himachal Pradesh in India. Encroachment on the land, roadside activities, insufficient infrastructure, imperfections in the geometric design, and non-motorized access were some of the severe safety flaws identified through the study process. The Star Rating results indicated that among all the road user types, the vehicle occupant is much safer than the others.
Modeling and optimization of the anaerobic digestion system for domestic waste water treatment with the development of monitoring techniques
Authors: Mathur Rajshree , Sharma Meena Kumari 
Published: October 2022

Abstract
Water scarcity and wastewater management are two most serious environmental problems faced by developing countries like India. Recycling and reuse of the treated wastewater for non-potable purpose may significantly reduce the stress on fresh water requirement. Anaerobic digestion methods are used to treat wastewater discharge from various fields. Software tools provide an opportunity for engineers to create models which represent activities, resources, and the environment in powerful, affordable and user-friendly way. Modeling and simulation results serve as an important guideline in the optimization and process control for plant operators and other specialists in the field of engineering. Model-based development of software using tools such as Math Works Simulink has become common in the engineering. The Anaerobic Digestion Model (ADM1) from the International Water Association might be used for modeling and optimization of digestion operations. This research reveals the study of domestic wastewater treatment using ADM1. The process equations are solved using the input data, and output is generated. The results show that the proposed method is capable of predicting process parameters of excellent stream with high degree of accuracy (R2=0.945).
Prediction of Rainfall Using Hybrid SVM-HHO Model
Authors: Moharana L , Sahoo A , Ghose D K 
Published: October 2022

Abstract
Rainfall modeling is considered a need of the hour in order to understand, control, and monitor the quality and quantity of water resources. Modeling rainfall is one of the key components of the meteorological engineering process. Hydrological and climatological studies require accurate rainfall estimation in order to effectively manage water resources. Thus, adopting an advanced, reliable, and intelligent model for forecasting will be of great value in water resources engineering. The present study tried to establish a hybrid model with the combination of Support Vector Machine (SVM) and Harris Hawks Optimization (SVM-HHO) for predicting the rainfall time series of Cachar district located in Assam, India. The predictive performance of models is examined based on statistical analysis. Statistical measures like root mean squared error (RMSE) and coefficient of correlation (CC) is used to evaluate the considered hybrid model. It is observed from obtained results that proposed hybrid model exhibited least RMSE value of 20.29, and highest CC value of 0.9714, during testing period. Findings of this study confirm that proposed hybrid optimisation strategy can be regarded as a powerful forecasting tool for achieving better generalisation capability and higher forecasting accurateness.
Mapping Groundwater Potential Zone and Flood Risk Zone in the Visakhapatnam District, India.
Authors: Vamsi Krishna Prasad P. , Leela Priyanka M. , Sarath R. , Raghupathi Naidu B. , Ravi T. 
Published: October 2022

Abstract
Groundwater is a vital resource that significantly contributes to the annual supply. On the other hand, Overexploitation has resulted in a significant reduction in groundwater supplies and, in some cases, soil sinking. Therefore, it’s critical to assess the possible zone of groundwater rejuvenation to safeguard water quality and manage subsurface water systems. Potential groundwater zones are detected using RS and GIS technologies. GIS technologies were used to build the composite map. Accurate data is required to determine the criteria used to estimate the potential groundwater zone. DEM, soil, Rainfall, and LULC data are all generated by the satellites, and, at a scale of 1:50000, topo sheets are collected from the Survey of India (SOI). All the input data is combined with a weighted overlay in ArcGIS. Each of these criteria is given an appropriate ranking. The ability of various geomorphic units to store groundwater is assigned weight values. This procedure is repeated for each of the remaining layers, with the resulting layers being categorized. Extremely poor, poor, moderate, good, and exceptional are the five categories of potential groundwater zones. The method is used in a particular research area in the Visakhapatnam district. This data will help you figure out where you can get water, where water can be recharged, and where groundwater is limited.
Role of ADR methods in environmental conflicts in the light of sustainable development
Authors: Alkhayer J , Gupta N , Gupta C M 
Published: October 2022

Abstract
Sustainable development could not be envisaged regardless of protection of the environment and natural resources and achieving economic growth detached from resource use, in other words, sustainable development relies on environmental sustainability. On the other hand, Goal 16 of the 2030 Agenda for Sustainable Development, calls for peace, justice, and strong institutions to promote rule of law and access to justice at a global level. Settlement of environmental conflicts is an integral part of environmental sustainability and a part of accessing justice as well. In the light of increasing environmental challenges as a result of the continuous increasing rate of population and lack of global use of the renewed resource of energy has had a substantial influence on the environment, resulting in a corresponding increase in environmental conflicts. With the significantly varied court systems of nations throughout the world and the less efficiency of most of these systems, the question of rethinking and rebuilding effective alternative dispute resolution and further its role in environmental conflicts could be basic and urgent. But on the other hand, alternative dispute resolutions (ADR) have also barriers and negative aspects. The present paper examines and studies the role of ADR methods in environmental disputes and evaluates its efficiency and research on factors that lead to its success or its failure by studying real environmental conflicts from different countries to provide recommendations and suggestions to boost ADR methods in environmental disputes.
Formulation of Parking Demand Estimation Model in Transit Oriented CBDs: A Review
Authors: Das Debasish , Banerjee Debargha , Das Dibyendu , Bhowmik Sharmistha , Roy Ishita , Sarkhel Tanmoy , Raj Suhel , Das Pritam 
Published: October 2022

Abstract
Parking shortages are a regular occurrence in the urban Central Business District (CBD). In most Indian cities, the demand for parking outnumbers the supply. Managing parking demand is a critical aspect of transportation planning, particularly in metropolitan areas. Due to a shortage of off-street parking options in the CBD, tourists are compelled to park on the street, causing unnecessary congestion. The goals of this paper are to review existing research, identify key parameters, and provide models for forecasting on-street parking demand. To predict on-street parking demand in metropolitan CBDs with public transit (PT) service, a cost parameter (CF) model is developed. Some surveys, such as in-out surveys, license plate surveys, questionnaire surveys, video graphic survey methods, and so on, are likely to be utilized to collect data for the suggested model.
Correlation Study of Physico-Chemical Parameters and Water Quality Index Around Kodungaiyur Dumping Ground
Authors: Aishwarya R , Faizuneesa A , Hemamathi A , Ramshankar P , Yuvaraj M 
Published: October 2022

Abstract
The amount of waste that enters the Kodungaiyur dumping ground, in Tamil Nadu, India increases day by day due to the urban sprawl and growth of the metropolitan limits. The leachate infiltration in the groundwater accounts for the contamination and it is a critical issue to be addressed. The survey conducted among the residents of Kodungaiyur represents a disagreement on the water quality among the residents of their area. The go-to rack and ruin health condition of the people in the locality makes them prone to frequent hospitalisations. Physico-chemical parameters from 12 bore wells around the dumpsite are tested. On average, the conductivity, Total hardness, Chlorides, COD, BOD, Total Dissolved Solids, Calcium, Magnesium, Sodium, Potassium and Total alkalinity are more than the BIS prescribed limits of drinking water standards. On analyzing the water quality index (WQI) using the weighted arithmetic method, it is clear that all the bore wells have a WQI of more than 100, which is the deprecatory indicator for the category of “Totally unsuitable for drinking”. The worrisome situation indicates that the groundwater is polluted and unsuitable for drinking and domestic purposes. The WQI has negatively correlated to pH as the pH of all the samples has values ranging between 6.5-8.5. Also, the WQI is high-positively correlated to Chlorides, Sulphates, COD, BOD, Total hardness, Calcium, Magnesium, Alkalinity, Nitrate and Sodium with a correlation factor of more than 0.900. This indicates the excessive presence of physical, chemical and biological parameters contributing to high values of WQI in the water samples. After evaluating the data, it can be concluded that the drinking water of Kodungaiyur is not potable and a direct demand to revamp the groundwater status in this region is the need of the hour to prevent the population from facing adverse health effects.
A Literature Review on Mechanical Properties of Waste PET Bottle Based Fibre
Authors: Somwanshi Devendra Kumar , Sharma Vijay Prakash , Sharma Sikha , Jain Kalpit 
Published: October 2022

Abstract
PET which stands for polyethylene terephthalate. It is a form of polyester just like the clothing fabric. PET bottles is a clear, strong, and lightweight plastic that is widely used for packaging foods and beverages, especially convenience-sized soft drinks, juices and water. Have increasingly become an indispensable and essential part of a common man’s life. The joining of waste PET containers in substantial composites is a promising method for creating manageable composite materials which might be applied to the development business. Consequently, concrete with squander PET jugs demonstrates not just as a viable plastic waste administration procedure, yet in addition a methodology towards financial, climate well-disposed and reasonable advancement of building materials later on. In this review paper, properties of reinforced concrete made by the incorporation of waste PET bottle fibres have been analysed and discussed.
Review of open space rules and regulations and identification of specificities for plot-level open spaces to facilitate sustainable development: An Indian case
Authors: Gujar Sameer , Deshmukh Amit , Gupta Reshu 
Published: October 2022

Abstract
Rapid urbanization and an increase in the alteration of natural resources have led to climate crises, driving the need to promote sustainable development. Urban open space management plays a vital role in such scenarios. Research on urban open spaces has been mainly conducted at regional, municipal, and neighborhood scales. Rarely has the focus been on the plot-level potentials and management of open spaces. Therefore, the study looks into the Indian development control rules and regulations and identifies that although these stipulate the percentage of open space for development on each plot, specificities for open spaces are unclear. Further, the study analyses quantitative and qualitative aspects of open spaces for selected group housing schemes in Pune city. The inquiry shows that per capita open space in Pune is comparatively lower than national standards. The quantitative aspects include FSI, building ground coverage, built-up area, number of floors, and number of dwelling units, and each relates to open spaces in one way or another. The qualitative interpretations disclose that a plot-level open space can significantly impact the regional-level open space network. Hence, the research advocates a bottom-up approach wherein plot-level open space can become the focus in formulating new norms and policies for sustainable development.
Strengthening optimisation of a deep construction excavation in the city of Sofia using the observational method
Authors: Totsev Andrey 
Published: October 2022

Abstract
This paper discusses the role of the observational method in controlling the behaviour of retaining walls and providing opportunities for savings or the prevention of construction hazards. The method is standardized in Eurocode 7 as one of the defining principles of geotechnical design and is a viable verification approach for limit states. However, in Bulgaria the rate of its application hardly exceeds 10-15% of all the implemented building projects. The advantages of the method will be demonstrated using a specific building site as a real life example.
BTEX exposure in indoor air in schools in Bulgaria
Authors: Serafimova Ekaterina , Petkova Vilma 
Published: October 2022

Abstract
Exposure to indoor air pollutants is one of the primary environmental health stressors, the most important categories of chemicals that occur in the indoor air are BTEX (benzene, toluene, ethylbenzene and xylenes). All of them are used in many commercial building products and materials use indoor. Each of the chemicals in the mixture of concern is volatile, well absorbed, extensively metabolized, and does not persist in the body for long periods of time. All of the BTEX chemicals can produce neurological impairment. The aim of this work is on research and analysis of indoor air quality. seasonal fluctuations and to assess the impact of chemical pollutants in a closed environment in southwest Bulgaria.
Therapeutic effects of in-vivo radiodynamic therapy (RDT) for lung cancer treatment: a combination of 15MV photons and 5-aminolevulinic acid (5-ALA)
Authors: Yang Dae-Myoung , Cvetkovic Dusica , Chen Lili , Ma C-M Charlie 
Published: October 2022

Abstract

Objective. Radiodynamic therapy (RDT) uses high-energy photon beams instead of visible/near-infrared light to treat deep-seated tumors that photodynamic therapy cannot achieve due to the low penetration depth of laser beams. The purpose of this study is to investigate the therapeutic effect of RDT with 15 MV photon beams combined with 5-aminolevulinic acid (5-ALA) using a mouse model. Approach. A subcutaneous C57BL/6 mouse model of KP1 small-cell lung cancer cell line was used. The tumors (N = 120) were randomized into four groups to observe individual and synergistic effects of 5-ALA and radiation treatment: control (untreated, N = 42), radiation treatment (RT) only (N = 20), 5-ALA only (N = 20), and RDT (N = 38). For the RT only and RDT groups, 4 Gy in a single fraction was delivered to the tumors using 15 MV photons. For the 5-ALA only and RDT groups, 5-ALA was injected at a dose of 100 mg kg−1 by tail-vein 4 h prior to RT. The tumor response was assessed by monitoring tumor growth using 1.5 T MR, maximum standardized uptake value (SUVmax) and total lesion glycolysis (TLG) using [18F]FDG PET/CT, and animal survival. Main results. RDT achieved a statistically significant delay in tumor growth by 52.1%, 48.1%, and 57.9% 7 days post-treatment compared to 5-ALA only, RT only, and control group (P < 0.001), respectively. There were no significant differences in tumor growth between 5-ALA only and RT only groups. An additional 38.5%–40.9% decrease in tumor growth was observed, showing a synergistic effect with RDT. Furthermore, RDT significantly decreased [18F]FDG uptakes in SUVmax and TLG 7 days post-treatment by 47.4% and 66.5% (P < 0.001), respectively. RDT mice survived the longest of all treatment groups. Significance. RDT with 15 MV photons and 5-ALA resulted in greater tumor control compared to the control and other treatment groups. A significant synergistic effect was also observed with RDT. These preliminary results demonstrate an effective cancer treatment modality.
Implementation of a pharmacological prophylaxis bundle to prevent obstetric-associated venous thromboembolism
Authors: Iverson Ronald E , Zhang Min , Jansen Emily M , Trucks Emma , Iorio Rhiannon , Combs Ginny , Kourtelidis Marie , Mottl-Santiago Julie , Norris Mark , Lambert Lynne , Katzmark Rachel , Vyas Pooja , Abbott Jodi F 
Published: October 2022

AbstractPurposeVenous thromboembolism (VTE) accounts for a significant proportion of pregnancy-related mortality. In response to a series of VTEs at our institution and in accordance with mounting medical evidence for increased assessment, we implemented a universal, standardized obstetric VTE risk assessment process during antepartum and postpartum admissions and corresponding pharmacological thromboprophylaxis, which extends into the postdischarge period to prevent pregnancy-associated VTE in our urban, safety-net population.SummaryThis quality improvement (QI) project used the Institute for Healthcare Improvement’s Model for Improvement. We analyzed data from chart audits, patient and pharmacy outreach, and electronic reports using statistical process control charts. A review of 407 charts showed an increase in the proportion of patients undergoing documented risk assessment from 0% to 80% (average of 61%) from July 2015 to June 2016. The average risk assessment rate increased from 61% to 98% from July 2016 through March 2021 after the screening was integrated into the electronic health record (EHR). Rate of receipt of recommended thromboprophylaxis during admission increased from an average of 85% before EHR integration to 94% after integration. The proportion of high-risk patients receiving prescriptions upon discharge increased from 7% before EHR integration to 87% after integration. We interviewed 117 patients by telephone, of whom 74% continued the medications at home.ConclusionAn interprofessional team can achieve high rates of obstetric inpatient VTE risk assessment, pharmacological thromboprophylaxis initiation, and outpatient continuation using QI methodology.
Cosbin: cosine score-based iterative normalization of biologically diverse samples
Authors: Wu Chiung-Ting , Shen Minjie , Du Dongping , Cheng Zuolin , Parker Sarah J , Lu Yingzhou , Van Eyk Jennifer E , Yu Guoqiang , Clarke Robert , Herrington David M , Wang Yue 
Published: October 2022

Abstract

Motivation
Data normalization is essential to ensure accurate inference and comparability of gene expression measures across samples or conditions. Ideally, gene expression data should be rescaled based on consistently expressed reference genes. However, to normalize biologically diverse samples, the most commonly used reference genes exhibit striking expression variability and size-factor or distribution-based normalization methods can be problematic when the amount of asymmetry in differential expression is significant.

Results
We report an efficient and accurate data-driven method—Cosine score-based iterative normalization (Cosbin)—to normalize biologically diverse samples. Based on the Cosine scores of cross-condition expression patterns, the Cosbin pipeline iteratively eliminates asymmetric differentially expressed genes, identifies consistently expressed genes, and calculates sample-wise normalization factors. We demonstrate the superior performance and enhanced utility of Cosbin compared with six representative peer methods using both simulation and real multi-omics expression datasets. Implemented in open-source R scripts and specifically designed to address normalization bias due to significant asymmetry in differential expression across multiple conditions, the Cosbin tool complements rather than replaces the existing methods and will allow biologists to more accurately detect true molecular signals among diverse phenotypic groups.

Availability and implementation
The R scripts of Cosbin pipeline are freely available at https://github.com/MinjieSh/Cosbin.

Supplementary information
Supplementary data are available at Bioinformatics Advances online.