Quantitative Assessment Research Articles

Seismic risk assessment based on residential building stock and field survey results: a case study of 3 cities in Shanxi Province

IntroductionBuildings that collapse or are damaged by earthquakes are responsible for the majority of earthquake-related casualties. High-precision building data are the key to improving the accuracy of risk assessments of earthquake disaster loss. Many countries and regions have also proposed varying regional building exposure models, but most of these models are still based on administrative-level (city or county) statistical data; furthermore, they cannot accurately reflect the differences among buildings in different towns or villages.MethodsAlthough field investigation-based “township to township” methods can obtain more accurate building inventory data, considering costs and timeliness, remote sensing and other diverse data should be combined to acquire building data. Based on the field survey data of three cities in shanxi Province, combined with Global Human Settlement Layer (GHSL) data, this study is conducted on building inventory data. Data regarding the proportion of each building type and corresponding lethality level in each township are obtained based on the classification of building height, and the overall lethality level at the building level and township level is calculated on this basis.ResultsThe fitting results between the calculated results and the field survey results are good, the error is within 0.15, and the fitting R2 values of Xian, Baoji and Ankang are 0.6552, 0.5788 and 0.5937, respectively. Therefore, an earthquake disaster loss risk assessment is conducted based on the building level.DiscussionThe findings indicate that the risk of casualties caused by the same building type can vary by city. Generally, the areas with high disaster loss risk in the three cities are distributed mainly in urban areas; the disaster loss risk in the newly built areas of each city is relatively low. According to the quantitative assessment results for each city, Xi’an has the highest loss risk, while Baoji and Ankang have the same loss risk. Based on the method constructed in this paper, we can realize the quantitative assessment of earthquake disaster loss risk at the building level to better target pre-earthquake emergency preparation and post-earthquake auxiliary decision-making.

Skeletal muscle symptoms and quantitative MRI in females with dystrophinopathy.

The dystrophinopathies primarily affect males; however, female carriers of pathogenic dystrophin variants can develop skeletal muscle symptoms. This study aimed to evaluate muscle involvement and symptoms in females with dystrophinopathy using quantitative magnetic resonance imaging (MRI), functional assessments, and patient-reported outcomes. Controls and females with dystrophinopathy with muscle symptoms of pain, weakness, fatigue, or excessive tightness were enrolled in this cross-sectional study. Participants underwent lower extremity MRI to quantify muscle inflammation, replacement by fat, and disease asymmetry. Cardiac MRI, functional ability, muscle symptoms, and serum creatine kinase levels were also evaluated. Six pediatric females with dystrophinopathy (mean age: 11.7 years), 11 adult females with dystrophinopathy (mean age: 41.3 years), and seven controls enrolled. The mean fat fraction was increased in females with dystrophinopathy compared to controls in the soleus (0.11 vs. 0.03, p = .0272) and vastus lateralis (0.16 vs. 0.03, p = .004). Magnetic resonance spectroscopy water T2, indicative of muscle inflammation, was elevated in the soleus and/or vastus lateralis in 11 of 17 individuals. North Star Ambulatory Assessment score was lower in the dystrophinopathy group compared to controls (29 vs. 34 points, p = .0428). From cardiac MRI, left ventricle T1 relaxation times were elevated in females with dystrophinopathy compared to controls (1311 ± 55 vs. 1263 ± 25 ms, p < .05), but ejection fraction and circumferential strain did not differ. Symptomatic females with dystrophinopathy quantitatively demonstrate muscle replacement by fat and inflammation, along with impairments in functional ability and cardiac function. Additional research is needed to evaluate how symptoms and muscle involvement change longitudinally.

Occupational Exposure to Silica Dust and Silicosis Risk in Chinese Noncoal Mines: Qualitative and Quantitative Risk Assessment.

Despite increasing awareness, silica dust-induced silicosis still contributes to the huge disease burden in China. Worryingly, recent silica dust exposure levels and silicosis risk in Chinese noncoal mines remain unclear. We aimed to determine recent silica dust exposure levels and assess the risk of silicosis in Chinese noncoal mines. Between May and December 2020, we conducted a retrospective cohort study on 3 noncoal mines and 1 public hospital to establish, using multivariable Cox regression analyses, prediction formulas of the silicosis cumulative hazard ratio (H) and incidence (I) and a cross-sectional study on 155 noncoal mines in 10 Chinese provinces to determine the prevalence of silica dust exposure (PDE), free silica content, and total dust and respirable dust concentrations. The qualitative risk of silicosis was assessed using the International Mining and Metals Commission's risk-rating table and the occupational hazard risk index; the quantitative risk was assessed using prediction formulas. Kaplan-Meier survival analysis revealed significant differences in the silicosis probability between silica dust-exposed male and female miners (log-rank test χ21=7.52, P=.01). A total of 126 noncoal mines, with 29,835 miners and 4623 dust samples, were included; 13,037 (43.7%) miners were exposed to silica dust, of which 12,952 (99.3%) were male. The median PDE, free silica content, total dust concentration, and respirable dust concentration were 61.6%, 27.6%, 1.30 mg/m3, and 0.58 mg/m3, respectively, indicating that miners in nonmetal, nonferrous metal, small, and open-pit mines suffer high-level exposure to silica dust. Comprehensive qualitative risk assessment showed noncoal miners had a medium risk of silicosis, and the risks caused by total silica dust and respirable silica dust exposure were high and medium, respectively. When predicting H and I over the next 10, 20, and 30 years, we assumed that the miner gender was male. Under exposure to current total silica dust concentrations, median I10, I20, and I30 would be 6.8%, 25.1%, and 49.9%, respectively. Under exposure to current respirable silica dust concentrations, median I10, I20, and I30 would be 6.8%, 27.7%, and 57.4%, respectively. These findings showed that miners in nonmetal, nonferrous metal, small, and open-pit mines have a higher I and higher qualitative silicosis risk. Chinese noncoal miners, especially those in nonmetal, nonferrous metal, small, and open-pit mines, still suffer high-level exposure to silica dust and a medium-level risk of silicosis. Data of both total silica dust and respirable silica dust are vital for occupational health risk assessment in order to devise effective control measures to reduce noncoal mine silica dust levels, improve miners' working environment, and reduce the risk of silicosis.

Theory and quantitative assessment of pH-responsive polyzwitterion-polyelectrolyte complexation.

We introduce a theoretical framework to describe the pH-sensitive phase behavior of polyzwitterion-polyelectrolyte complex coacervates that reasonably captures the phenomenon from recent experimental observations. The polyzwitterion is described by a combinatorial sequence of the four states in which each zwitterionic monomer can occupy: dipolar, quasi-cationic, quasi-anionic, and fully neutralized. We explore the effects of various modifiable chemical and physical properties of the polymers-such as, pKa of the pH-active charged group on the zwitterion, equilibrium constant of salt condensation on the permanently charged group on the zwitterion, degrees of polymerization, hydrophobicity (via the Flory-Huggins interaction parameter), and dipole lengths-on the window of complexation across many stoichiometric mixing ratios of polyzwitterion and polyelectrolyte. The properties that determine the net charge of the polyzwitterion have the strongest effect on the pH range in which polyzwitterion-polyelectrolyte complexation occurs. We finish with general guidance for those interested in molecular design of polyzwitterion-polyelectrolyte complex coacervates and opportunities for future investigation.

Precision Fertilization: A critical review analysis on sensing technologies for nitrogen, phosphorous and potassium quantification

Fertilization is paramount for agriculture productivity and food security. Plant nutrition pre-established recipes and nutrient uptake are rarely managed by changing the fertilizer composition at the different stages of the plant life cycle. Herein we perform a literature review analysis – since the year 2000 and onwards – of the state-of-the-art capabilities of Nitrogen, Phosphorous, and Potassium (NPK) sensors for liquid fertilizers (e.g., hydroponics). From the initial search hits of 1660 results, only 53 publications had relevant information for this topic; from these, only 9 had NPK quantitative information. Qualitative analysis was performed by determining the number of publications for each nutrient, according to sample complexity and existing single, multiplexed or hybrid technologies. Quantitative assessment was performed by extracting the bias and linearity, the limit of detection and concentration ranges of sensor operation, framed into the context of the sensor technology development stage and sample compositional complexity. The most common technologies are colorimetry, ion-selective electrodes, optrodes, chemosensors, and optical spectroscopy. The most abundant technologies are for nitrate quantification, from which ion-selective electrodes are the most widely used technology, and sensors for phosphate quantification are the less developed. Most are at low technological levels of development, not dealing with the complexity of agriculture samples due to matrix effects and interference. Measuring the fertilizer composition, nutrient uptake, the state of the chemical network, and controlling the release of nutrients using new functional materials, is one of the most important challenges ahead for the existence of precision fertilization. Intelligent sensing and smart materials are today the most successful strategy for dealing with matrix effects and interferences, being led by ion-selective electrodes and spectroscopy technologies.

Noninvasive Assessing Low Back Pain by a Novel Near-Infrared Spectroscopy Flexible Probe With the Aid ofCupping Protocol.

Low back pain (LBP) is the leading cause of disability worldwide, yet its quantitative and noninvasive assessment remains challenging. Considering that near-infrared spectroscopy (NIRS) became a promising noninvasive tool for monitoring muscle and cupping therapy could regulate muscle blood flow to relieve LBP, we attempted to incorporate cupping and hemodynamics monitoring in muscle tissue by NIRS to assess LBP. We collected 3-min NIRS recordings on 12 LBP patients and 12 healthy subjects before and after 20-min cupping. Initially, no significant hemodynamic differences were observed between the groups. After cupping, the concentration changes of oxy-hemoglobin (Δ[HbO2]) in the emitter-detector channel parallel to spine unexpectedly exhibited that LBP was remarkably lower by approximately 67% compared with the controls. This study highlighted the potential of combining NIRS and cupping protocol as a quantitative assessment technique for LBP, also providing a new idea for clinical integration of novel optical assessment technologies.

Quantitative Resistance Assessment of Steel Girder Bridges Subjected to Blast Loads

Quantitative Resistance Assessment of Steel Girder Bridges Subjected to Blast Loads

Quantitative Assessment of the Architect’s Role under US Standard Construction Contracts: A Graph Theory Approach

Quantitative Assessment of the Architect’s Role under US Standard Construction Contracts: A Graph Theory Approach

Muslim-friendly tourist destination image in travel and hospitality industry: Conceptualization and scale development

The image of a place is subjective and open to change: it depends on an individual's perspective and cultural background. Notwithstanding years of research on destination image, no attempt has been made so far to evaluate the Muslim-Friendly Tourist Destination Image (MFTDI) in the travel and hospitality industry, in which Muslim visitors not only evaluate cognitive and emotional attributes but also Muslim-friendly attributes. In this research a qualitative research and literature review was carried out to develop the items of the proposed scale. The study began with a pilot study in which a committee of experts, and focus groups reduced the topic quantitatively and qualitatively. A follow-up quantitative assessment was then carried out to evaluate and authenticate the suggested scale, using two studies (n1 = 481 and n2 = 269). The significance of the proposed scale was conceptually justified. The scale measured reliability, discriminant validity, convergent validity, and external validity. As a result, the outcomes suggest that the 31 items to be considered fall into three factor categories: cognitive, emotional, and Muslim-friendly qualities. Finally, this paper assesses the article's significant implications for theory and practice, as well as its limitations.

Qualitative versus quantitative assessment of electroencephalography in cognitive decline: Comparison in a clinical population

This study aimed to compare the diagnostic performance of visual assessment of electroencephalography (EEG) using the Grand Total EEG (GTE) score and quantitative EEG (QEEG) using spectral analysis in the context of cognitive impairment.This was a retrospective study of patients with mild cognitive impairment, with (MCI+V) or without (MCI) vascular dysfunction, and patients with dementia including Alzheimer's disease, Lewy Body Dementia and vascular dementia.The results showed that the GTE is a simple scoring system with some potential applications, but limited ability to distinguish between dementia subtypes, while spectral analysis appeared to be a powerful tool, but its clinical development requires the use of artificial intelligence tools.

Quantitative analysis of peripapillary capillary volume using dense B-scan OCT angiography in normal and diabetic retina.

The value of quantitatively analyzing peripapillary capillary volume (PPCV) distribution was explored in normal and diabetic retinopathy (DR) eyes using dense B-scan optical coherence tomography angiography (DB OCTA). This was a cross-sectional observational study followed by prospective follow-up for those with DR, which enrolled 101 healthy subjects and 140 DR patients. Dense, automatic, real-time (DART) volume scans of DB OCTA were performed using a Spectralis HRA + OCT2. ImageJ and MATLAB were used to process and calculate PPCV distribution detected by DB OCTA. In normal subjects, PPCV distribution were significantly correlated with the age and quadrant location (allP < 0.001). The PPCV distribution in each quadrant was significantly lower in severe nonproliferative DR patients than in normal subjects in all age groups (allP < 0.05, t-test). Compared to normal subjects, the PPCV distribution improved significantly in the pan-retinal photocoagulation treatment and surgery groups (allP < 0.001). No significant variation was observed in the anti-VEGF treatment group and normal subjects (P > 0.05). The PPCV distribution is significantly correlated with post-treatment best-corrected visual acuity in both the pan-retinal photocoagulation treatment and surgery groups (allP < 0.003) but not in the anti-VEGF treatment group (P = 0.940). Quantitative assessment of PPCV distribution using DB OCTA is valuable in prognosis evaluation of DR with pan-retinal photocoagulation and surgery.

MicroLOCK: Highly stable microgel biosensor using locked nucleic acids as bioreceptors for sensitive and selective detection of let-7a

Chemically modified oligonucleotides can solve biosensing issues for the development of capture probes, antisense, CRISPR/Cas, and siRNA, by enhancing their duplex-forming ability, their stability against enzymatic degradation, and their specificity for targets with high sequence similarity as microRNA families. However, the use of modified oligonucleotides such as locked nucleic acids (LNA) for biosensors is still limited by hurdles in design and from performances on the material interface. Here we developed a fluorogenic biosensor for non-coding RNAs, represented by polymeric PEG microgels conjugated with molecular beacons (MB) modified with locked nucleic acids (MicroLOCK). By 3D modeling and computational analysis, we designed molecular beacons (MB) inserting spot-on LNAs for high specificity among targets with high sequence similarity (95%). MicroLOCK can reversibly detect microRNA targets in a tiny amount of biological sample (2μL) at 25°C with a higher sensitivity (LOD 1.3fM) without any reverse transcription or amplification. MicroLOCK can hybridize the target with fast kinetic (about 30min), high duplex stability without interferences from the polymer interface, showing high signal-to-noise ratio (up to S/N=7.3). MicroLOCK also demonstrated excellent resistance to highly nuclease-rich environments, in real samples. These findings represent a great breakthrough for using the LNA in developing low-cost biosensing approaches and can be applied not only for nucleic acids and protein detection but also for real-time imaging and quantitative assessment of gene targeting both in vitro and in vivo.

Interactive Notebooks Improve Students’ Understanding of Developmental Neurobiology, Attitudes Toward Research, and Experimental Design Competency in a Lecture-Based Neuroscience Course

Recent efforts to engage postsecondary science, technology, engineering, and mathematics (STEM) students in the rigors of discovery-driven inquiry have centered on the integration of course-based undergraduate research experiences (CUREs) within the biology curricula. While this method of laboratory education is demonstrated to improve students’ content knowledge, motivations, affect, and persistence in STEM, CUREs may present as cost- and/or resource-prohibitive. Likewise, not all lecture courses have a concomitant laboratory requirement. With these caveats in mind, we developed the NeuroNotebook intervention, which provided students enrolled in a standalone Developmental Neurobiology course with an immersive, semester-long “dry-lab” experience incorporating many of the same elements as a CURE (e.g., collaboration, use of experimental design skills, troubleshooting, and science communication). Quantitative and qualitative assessment of this intervention revealed positive pre-/post-semester gains in students’ content knowledge, attitudes toward the research process, and development of science process skills. Collectively, these data suggest that interventions such as the NeuroNotebook can be an effective alternative to a “wet-lab” experience.

THE ROLE OF DIGITALIZATION IN THE FORMATION OF THE COMPETITIVE ENVIRONMENT OF THE FINANCIAL AND CREDIT SECTOR OF THE ECONOMY OF UKRAINE

The purpose of the article is to formalize the genesis of digital financial technologies (DFT), identify: the impact of its stages on the competitiveness of representatives of the financial and credit sector (RFKS), the features of digital competition; quantitative assessments of the specified impacts. Achieving this goal has scientific and practical significance, in particular, for the formation of an effective digital strategy of the RFKS. It is noted that the genesis of digitalization was not uniform and took place in stages, which are a consequence of the level of development of the DFT, the need to adapt the RFKS ​​to them and determine the peculiarities of the competition of the RFKS. The dynamics of changes in the market share by types of digital financial services of fintech companies were studied, and a significant fluctuation in their competitive positions was noted. It is indicated that the complex application of DFT by fintech companies gives them the opportunity to strategically gain a significant competitive advantage over traditional RFKS. The prospects of mutually beneficial cooperation in the market of digital services of fintech companies and banks are indicated. It is noted that a new phenomenon is manifested on the example of fintech companies - mutual multiplicative strengthening of the development of DFT, which leads to increased competition. According to the results of the study of the effects of digitalization on the PFKS, the factors of the formation of threats to the competitiveness of banks in a strategic plan are determined and the directions of actions of institutional structures that will contribute to the strengthening of the market competitiveness of non-bank financial structures are indicated.

An explorative Bayesian analysis of functional dependencies in emergency management systems

AbstractThe study of emergency or crisis management practices acquires strategical relevance for resilient decision‐making under uncertainty. The assessment of system resilience is an asset to identify potential design or operational improvements of a complex socio‐technical system, such as an Emergency Management (EM) system. This research aims at analyzing the functional properties of an EM system recurring to a novel integration of the Functional Resonance Analysis Method (FRAM) and Bayesian Belief Networks (BBN). The FRAM is used to model and display the actors and the interactions in the system, while the BBN, dynamically updated when new data becomes available, supports a complementary quantitative assessment. The methodology is iterated in the analysis of an EM procedure, issued by a second‐line Emergency Response organization for Oil and Gas (O&amp;G) operators in Norwegian continental shelf. The results of the study show that the proposed stochastic methodology compensates the drawbacks of traditional FRAM modeling, via the outcomes of BBN quantitative analyses. The findings, contextualized in EM, can be transferred to different socio‐technical contexts, both military and civil ones.

IMPACT OF INPUT TAX CREDIT ON WORKING CAPITAL REQUIREMENTS OF MSMES IN INDIA: AN EMPIRICAL STUDY

The main objective is to find out the impact of the Tax Credit (ITC) in the GST structure on the utilitarian capacity and liquidity of micro, small and medium-sized enterprises (MSMEs) in India. Using a coordinated survey to gather information on working capital stocks and GST consistency, 200 MSMEs in Assam, India, were selected to conduct a quantitative assessment. The results show that there are significant areas for the relationship between better working capital conditions and the use of ITS. This suggests that MSMEs can have greater financial flexibility and fewer pay restrictions if they do register ITC claims. According to the practical implications of the assessment, policymakers should deal with the ITC system and offer additional assistance to ensure that MSMEs can fully benefit from the GST. This study is novel because it is uniquely relevant to the state of Assam, offering alternative, progressive views on the specific impact of the goods and services tax on small businesses in that state.

Strategies for Land Economic Development in South Delhi District

This research paper examines the land economic development strategies in South Delhi, focusing on their impact on the socio-economic and spatial dynamics of the region. South Delhi, a diverse and economically vibrant district within the National Capital Region of India, presents a unique case study to explore how tailored land use policies and economic planning can foster sustainable growth. Using a mixed-method approach, this study integrates qualitative analysis of policy documents, stakeholder interviews, and quantitative assessment of economic indicators to analyze land use changes, economic transformations, and policy effectiveness from 2011 to 2021. The analysis spans both macro and micro levels, investigating transformations in key areas like Mehrauli, Lado Sarai, and Aya Nagar. Findings highlight significant shifts in land use from agricultural to residential and commercial purposes, driven by rapid urbanization, infrastructure development, and policy reforms. While certain strategies have effectively promoted economic growth, challenges such as environmental degradation, congestion, uneven policy enforcement, and socio- economic disparities persist. The study underscores the need for sustainable land use planning, improved infrastructure, stakeholder collaboration, and adaptive governance frameworks to balance economic growth with social equity and environmental sustainability The research offers comprehensive insights and practical recommendations for policymakers, urban planners, and stakeholders to optimize land economic development strategies in South Delhi, with implications for similar urban contexts globally. The study advocates for a holistic approach that integrates sustainable development, community engagement, and resilient policy frameworks to create livable and prosperous urban environments. Index Terms— Land Economic Development Strategies,South Delhi, Socio-Economic Dynamics ,Spatial Dynamics, Land Use Policies ,Economic Planning ,Sustainable Growth ,Mixed-Method Approach, Policy Documents, Stakeholder Interviews, Economic Indicators, Land Use Changes, Urbanization, Infrastructure Development ,Policy Reforms Environmental Degradation, Socio- Economic Disparities ,Sustainable Land Use Planning, Stakeholder Collaboration, Adaptive Governance, Urban Environments.

CSF dynamics throughout the ventricular system using 4D flow MRI: associations to arterial pulsatility, ventricular volumes, and age.

Cerebrospinal fluid (CSF) dynamics are increasingly studied in aging and neurological disorders. Models of CSF-mediated waste clearance suggest that altered CSF dynamics could play a role in the accumulation of toxic waste in the CNS, with implications for Alzheimer's disease and other proteinopathies. Therefore, approaches that enable quantitative and volumetric assessment of CSF flow velocities could be of value. In this study we demonstrate the feasibility of 4D flow MRI for simultaneous assessment of CSF dynamics throughout the ventricular system, and evaluate associations to arterial pulsatility, ventricular volumes, and age. In a cognitively unimpaired cohort (N = 43; age 41-83 years), cardiac-resolved 4D flow MRI CSF velocities were obtained in the lateral ventricles (LV), foramens of Monro, third and fourth ventricles (V3 and V4), the cerebral aqueduct (CA) and the spinal canal (SC), using a velocity encoding (venc) of 5cm/s. Cerebral blood flow pulsatility was also assessed with 4D flow (venc = 80cm/s), and CSF volumes were obtained from T1- and T2-weighted MRI. Multiple linear regression was used to assess effects of age, ventricular volumes, and arterial pulsatility on CSF velocities. Cardiac-driven CSF dynamics were observed in all CSF spaces, with region-averaged velocity range and root-mean-square (RMS) velocity encompassing from very low in the LVs (RMS 0.25 ± 0.08; range 0.85 ± 0.28mm/s) to relatively high in the CA (RMS 6.29 ± 2.87; range 18.6 ± 15.2mm/s). In the regression models, CSF velocity was significantly related to age in 5/6 regions, to CSF space volume in 2/3 regions, and to arterial pulsatility in 3/6 regions. Group-averaged waveforms indicated distinct CSF flow propagation delays throughout CSF spaces, particularly between the SC and LVs. Our findings show that 4D flow MRI enables assessment of CSF dynamics throughout the ventricular system, and captures independent effects of age, CSF space morphology, and arterial pulsatility on CSF motion.

An Observation Instrument for Technical and Tactical Actions in the Soccer Offense Phase: Design, Validation, and Reliability

Coaches and other sports professionals are given adaptable tools by using observational methods in the context of sports. These tools are frequently used in team sports for technical and tactical analysis of the match. The goal was to build, validate, and evaluate the dependability of a mixed observational instrument of field formats and category systems to study technical and tactical activities in the offensive phase of soccer, taking into account the significance of data quality in these instruments. The device records data on the attacking team’s and goalkeeper’s actions with the ball, play moments (start, development, and end), and surrounding circumstances. Four steps were taken in the instrument design, validation, and reliability calculation: (a) literature review; (b) initial draft design; (c) qualitative and quantitative expert assessment of the instrument; and (d) observer training test (reliability calculation). Ten experts (soccer coaches with at least ten years of coaching experience or sports scientists with a PhD) determined the content validity. The Delphi process was applied. A quantitative (scale 0 10) and qualitative examination was performed by experts. The following topics were covered in the questionnaire for experts: (a) understanding of the criteria, categorical cores, degree of openness, and their definitions; (b) applicability of the categorical cores and degree of openness; and (c) decision-making on the inclusion of further categorical cores or degree of openness in the observation instrument. The categorical core “numerical situation with opponent goalkeeper” has the lowest Aiken’s V index of 0.91. The levels of agreement between and among observers were good. The category core “defensive pressing lines” had the lowest Kappa index (0.96 for inter-reliability and 0.98 for intra-reliability), as did the category core “ball height (start of ball possession),” “distance of the defensive player,” “ball height (end of ball possession”),” “numerical situation,” and “defensive pressing lines.” The generalizability analysis’ results demonstrated the instrument’s excellent level of accuracy, validity, and reliability. The findings demonstrate that the tool can be used to gather unbiased, trustworthy information regarding soccer’s offensive phase.

Experiences of water poverty in the metropolitan area of Barcelona: implications for the Global North

ABSTRACT Water poverty, primarily understood as a problem of affordability, is increasingly important in developed countries. It burdens vulnerable households with mounting debts or deprives them of this fundamental resource. Faced with this threat, households may modify their habits to reduce consumption and seek also assistance to reduce the amount of the water bill. Both strategies imply stressful efforts, often exacerbated by unexpected events like the COVID-19 pandemic. Using semi-structured interviews with 35 vulnerable households in a working-class town near Barcelona, in this paper, we blend a quantitative assessment of home water habits with a qualitative analysis of strategies to reduce water bill costs. Results reveal a strong commitment to water savings but clashes with essential household needs, particularly for children. Respondents lament that despite intense water saving, bills remain high, given water's perceived expense and limited subsidy access. In sum, addressing the issue of water poverty from the subjective experience of those struggling against it in their daily lives allows us to identify situations where the basic physical and mental comfort of the more vulnerable is under severe stress. These experiences and perceptions are linked to socio-political and economic processes such as accumulation by dispossession or ecological modernization, contributing to water poverty.