Inclusive Measurements Research Articles

Pregnancy Intendedness by Presence and Extent of Disability in the USA, 2019-2020.

Over 40% of pregnancies in the United States are unintended. Women with unintended pregnancies may be less likely to receive timely prenatal care and engage in healthy behaviors immediately before and during pregnancy. Limited research suggests that women with disabilities are more likely to have an unintended pregnancy, but to date no studies have assessed whether intendedness varies by extent of disability. We analyzed 2019-2020 PRAMS data from 22 sites that included the Washington Group Short Set of Questions on Disability (n = 37,832). We examined associations of extent of disability (none, some difficulty, or a lot of difficulty) with pregnancy intendedness (classified as intended, mistimed, unwanted, or unsure). We used multinomial logistic regression to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) while controlling for sociodemographic characteristics. Overall, 60.1% of pregnancies were intended, 18.2% mistimed, 6.4% unwanted, and 15.3% unsure. Compared to respondents with no difficulty, respondents with some difficulty or a lot of difficulty were more likely to report a mistimed pregnancy (aOR = 1.55, 95%CI 1.40,1.71; aOR = 1.62, 95%CI 1.34,1.95), an unwanted pregnancy (aOR = 1.92, 95%CI 1.66,2.24; aOR = 2.20; 95%CI 1.72,2.82), and unsure intendedness (aOR = 1.61, 95%CI 1.45,1.79; aOR = 1.75, 95%CI 1.45,2.11), respectively. People with disabilities who give birth, regardless of extent of disability, had elevated odds of mistimed and unwanted pregnancy and of being unsure of their pregnancy intendedness. Our findings support the use of more inclusive measures of disability and emphasize the need for equitable reproductive healthcare that respects the childbearing potential and choices of individuals with disabilities.

Prediction of perinatal mortality in early-onset fetal growth restriction: A post hoc analysis of the Dutch STRIDER trial to predict perinatal mortality in early-onset fetal growth restriction

ObjectiveEarly-onset fetal growth restriction affects about 0.3% of pregnancies, posing high perinatal risks due to placental insufficiency. Early-onset fetal growth restriction often coincides with early-onset pre-eclampsia, associated with significant mortality and morbidity. Clinical management varies among clinicians, with emphasis on intensive monitoring and timely delivery. Our objective was to improve clinical prediction of perinatal mortality in early-onset fetal growth restriction for parental counseling. Study designThis was a secondary analysis of prospective cohort data from the Dutch STRIDER trial. The study included 215 pregnant women diagnosed with severe early-onset fetal growth restriction between 20 + 0 and 29 + 6 weeks of gestation, from tertiary and secondary antenatal care centers in The Netherlands. Maternal and fetal characteristics were collected at inclusion, including sonographic and laboratory measurements. Analysis was performed using univariable and multivariable binary logistic regression to create a prediction model for perinatal mortality. The main outcome measures were fetal demise and neonatal mortality up to discharge. Results215 Participants were included for this analysis. Perinatal mortality occurred in 84 (39 %) cases; 51 (24 %) were fetal and 33 (15 %) neonatal. Fetal abdominal circumference, gestational age at diagnosis, estimated fetal weight Multiple of Median, absent or reversed end-diastolic flow of the umbilical artery, umbilical artery pulsatility index Multiple of Median, non-Caucasian ethnicity, male sex, placental growth factor level and uterine artery pulsatility index were independent predictors of perinatal mortality. Randomization allocation (sildenafil or placebo) had no predictive value for mortality. The prediction model including gestational age at diagnosis, estimated fetal weight Multiple of Median and umbilical artery pulsatility index Multiple of Median showed an area under the receiver operating characteristic curve of 0.840 (P < 0.01). Placental growth factor was measured in a subset of patients and was an independent prognostic factor and performed significantly better within the predictive model, however it did not improve the predictive value of the model. ConclusionsPrediction of perinatal mortality in early-onset fetal growth restriction is feasible with commonly available tests and measurements and could support decision making in management of pregnancy. However, implementation in practice requires further studies.

Impact of Digital Financial Services on Economic Inclusion in Sub-Saharan Africa

The study titled &amp;quot;Impact of Digital Financial Services on Economic Inclusion in Sub-Saharan Africa&amp;quot; explores the role of digital financial platforms, such as mobile banking, digital wallets, and online payment systems, in enhancing financial inclusion across the region. Using a quantitative methodology, the research draws from secondary data to assess the connection between DFS adoption and key measures of economic inclusion, such as access to financial services, account ownership, and digital transactions. The findings show that DFS has a notably positive effect on economic inclusion, particularly benefiting underprivileged and underserved groups. Increased usage of DFS has facilitated wider access to financial services, fostering greater economic engagement. However, significant barriers still hinder the full potential of DFS, including the digital divide, weak regulatory systems, and low levels of digital literacy. These limitations disproportionately affect rural and low-income communities, potentially exacerbating existing inequalities if not addressed. In conclusion, while DFS holds great promise for enhancing economic inclusion in Sub-Saharan Africa, focused efforts are needed to overcome these obstacles. The study recommends that policymakers and stakeholders invest in improving digital infrastructure, enhancing digital literacy, and reinforcing regulatory frameworks to ensure that DFS can deliver maximum benefits to all population groups.

Inclusion measure for intuitionistic fuzzy sets and embedding of intervals

Inclusion measure for intuitionistic fuzzy sets and embedding of intervals

Development and Testing of the Comprehensive Prenatal Care Index: Relationship With Preterm Birth and Small for Gestational Age Across Racial and Ethnic Groups.

Preterm birth and small for gestational age (SGA) are significant public health concerns in the United States, with pronounced disparities across racial and ethnic groups. Traditional prenatal care adequacy indices have limitations in fully capturing their multifaceted nature. Our study introduces the Comprehensive Prenatal Care Index (CPCI) to provide a more holistic assessment of prenatal care by integrating key elements of prenatal counseling and health promotion. This cross-sectional study used the Pregnancy Risk Assessment Monitoring System 2016-2021 data. The CPCI was developed based on a comprehensive literature review, incorporating components such as timing, frequency, and content of prenatal visits. The index was validated using Item Response Theory (IRT) and compared with the Kotelchuck and Kessner Indices. The study included 139,181 pregnant women. The CPCI demonstrated strong internal consistency (Cronbach's α, 0.75; ω total, 0.81). IRT analysis confirmed the index's ability to capture variability in the quality of prenatal care, with item difficulty parameters ranging from -2.93 to +2.10. CPCI scores were significantly associated with reduced odds of adverse birth outcomes. Adequate CPCI care was linked to a 63% reduction in the odds of preterm birth among non-Hispanic White women, with similar reductions observed in Hispanic women (odds ratio [OR], 0.59) and Asian women (OR, 0.38). For SGA, adequate care was protective among non-Hispanic White (OR, 0.86) and Hispanic women (OR, 0.82) but showed mixed results in other groups. The CPCI provides a more inclusive measure of the quality of prenatal care compared with traditional indices. The study's findings suggest a significant role of comprehensive prenatal care in reducing adverse birth outcomes and addressing racial and ethnic disparities. Future research should focus on refining the CPCI and exploring its applicability in diverse populations to inform targeted and culturally sensitive prenatal care strategies.

Enhancing decision-making with linear diophantine multi-fuzzy set: application of novel information measures in medical and engineering fields

This study offers a comprehensive analysis of novel information for linear diophantine multi-fuzzy sets and illustrates its applications in practical scenarios. We introduce innovative similarity metrics tailored for linear diophantine multi-fuzzy sets, including Cosine similarity, Jaccard similarity, and Exponential similarity. Additionally, we propose Entropy, Inclusion, and Distance measures, providing a robust theoretical foundation supported by developed theorems that explain the interactions between these metrics. The practical implications of these theoretical advancements are demonstrated through various case studies. Specifically, we apply the similarity measures to predict preeclampsia, a severe condition affecting pregnant women, showcasing their potential in medical diagnostics. The entropy measure is used to identify the optimal materials manufacturing method for medical surgical robots, underscoring its importance in ensuring patient safety and the effectiveness of medical procedures. Furthermore, the inclusion measure is employed in pattern recognition tasks, highlighting its utility in complex data analysis. The comparative and superiority analysis shows the effectiveness of our research. The novel aspect of this study is the implementation of information metrics for LDMFS. These efforts aim to enhance the impact and practical applicability of linear diophantine multi-fuzzy sets, fostering innovation and improving outcomes across multiple fields.

Cyclical Inclusive Growth Model of the European Union

This article analyzes the distinctive features of the contemporary cyclical inclusive growth model within the European Union (EU). As an integration entity, the EU contends with a series of internal challenges that impede its development, arising from the divergent economic interests of member states and the uneven distribution of the costs and benefits of the 'twin transition' in the context of Europe’s declining global competitiveness. Exploring the nuances of inclusive growth in the EU, particularly the role of citizen participation in societal progress, offers a valuable framework for understanding the social and economic contradictions both within and between member states. The study commences with a critical review of existing definitions of inclusive growth, laying the groundwork for an in-depth analysis of the EU model.The research employs quantitative methods to compare EU member states using the UNCTAD Inclusive Growth Index and additional indicators of social and economic development and well-being. It also evaluates the outcomes of the 'Europe 2020' strategy, which aimed to establish inclusive growth targets for the EU by 2020. The findings reveal that the highest levels of inclusive growth are concentrated in northern and continental European countries, whereas Central and Eastern Europe (CEE) exhibit significantly lower levels. The analysis further uncovers key contradictions, such as the tension between reducing socio-economic inequality and promoting economic growth, the generational conflict over the ‘green economy,’ and the misalignment of interests between smaller and larger EU economies.Despite the initiatives under the 'Europe 2020' strategy, the study observes a shift in the priorities of EU citizens concerning inclusive growth. The research identifies fundamental characteristics of the EU's inclusive growth model, marked by a cycle of emerging and resolving social and economic contradictions at the Union level. A notable aspect of this model is the increasing complexity and multiplicity of contradictions, alongside a growing emphasis on subjective well-being and the fulfillment of intangible individual needs. The insights derived from this analysis have practical implications for developing inclusive growth support measures within the Eurasian Economic Union (EAEU) and can aid in defining priorities and mechanisms for the social and economic policies of EAEU member states.

In Situ Videography Quantifies Temporal and Spatial Variation in Prey Consumption and Energy Intake by Stream‐Dwelling Bull Trout (Salvelinus confluentus)

ABSTRACTIn stream ecosystems, invertebrates are a principal source of prey for many fishes, but their abundance as a food source depends on the predator's ability to exploit them in time and space. Although salmonid fishes are commonly thought of as daytime drift‐feeding predators of invertebrates in streams, they exhibit great flexibility in foraging behaviour and may also consume prey from the benthos and at night. Char species, (Salvelinus sp.), in particular, may be better adapted to forage under low light conditions due to greater scotopic sensitivity than other salmonids. In this study, we used in situ or in place videography to quantify the foraging behaviour of bull trout (Salvelinus confluentus) and determine when and where they capture prey. We found that bull trout were primarily daytime predators of invertebrates drifting in the water column, and that they rarely captured prey from the benthos or foraged at night. We did observe size‐related differences and seasonal declines in foraging rate from summer to fall months. A modelled estimate of energy intake indicates that daytime drift‐feeding by small size classes of bull trout was above that needed for a maximum daily ration under a range of assumptions about prey size and prey retention rates. Energy intake rates for larger fish were more dependent on assumptions of preferred prey size and prey retention rates. Our data indicate that daytime measures of invertebrate drift abundance and size are the most inclusive measure of food abundance for stream‐dwelling bull trout.

Depths in a Day—a New Era of Rapid-Response Raman-Based Barometry Using Fluid Inclusions

Abstract Rapid-response petrological monitoring is a major advance for volcano observatories, allowing them to build and validate models of plumbing systems that supply eruptions in near-real time. The depth of magma storage has recently been identified as high-priority information for volcanic observatories, yet this information is not currently obtainable via petrological monitoring methods on timescales relevant to eruption response. Fluid inclusion barometry (using micro-thermometry or Raman spectroscopy) is a well-established petrological method to estimate magma storage depths and has been proposed to have potential as a rapid-response monitoring tool, although this has not been formally demonstrated. To address this deficiency, we performed a near-real-time rapid-response simulation for the September 2023 eruption of Kīlauea, Hawaiʻi. We show that Raman-based fluid inclusion barometry can robustly determine reservoir depths within a day of receiving samples—a transformative timescale that has not previously been achieved by petrological methods. Fluid inclusion barometry using micro-thermometric techniques has typically been limited to systems with relatively deep magma storage (&amp;gt;0.4 g/cm3 i.e. &amp;gt; 7 km) where measurements of CO2 density are easy and accurate because the CO2 fluid homogenizes into the liquid phase. Improvements of the accuracy of Raman spectroscopy measurements of fluids with low CO2 density over the past couple of decades has enabled measurements of fluid inclusions from shallower magmatic systems. However, one caveat of examining shallower systems is that the fraction of H2O in the fluid may be too high to reliably convert CO2 density to pressure. To test the global applicability of rapid response fluid inclusion barometry, we compiled a global melt inclusion dataset (&amp;gt;4000 samples) and calculate the fluid composition at the point of vapor saturation (${\mathrm{X}}_{{\mathrm{H}}_2\mathrm{O}}$). We show that fluid inclusions in crystal hosts from mafic compositions (&amp;lt;57 wt. % SiO2)—likely representative of magmas recharging many volcanic systems worldwide—trap fluids with ${\mathrm{X}}_{{\mathrm{H}}_2\mathrm{O}}$ low enough to make fluid inclusion barometry useful at many of the world’s most active and hazardous mafic volcanic systems (e.g. Iceland, Hawaiʻi, Galápagos Islands, East African Rift, Réunion, Canary Islands, Azores, Cabo Verde).

Leaving No One Behind: Examining the effect of financial, gender, and digital inclusion on sustainable development

AbstractThis paper analyzes the effects of different dimensions of inclusion toward the attainment of sustainable development in 33 sub‐Saharan African (SSA) countries from the financial, gender, and technological perspectives between 2004 and 2021. This study employs the System Generalized Method of Moments given its ability to address potential endogeneity issues, capture the dynamic nature of relationships, and mitigate potential biases while adopting the Driscoll–Kraay standard errors for robustness check. Findings reveal two of the three measures of financial inclusion wield positive and significant effects on sustainable development while credit to the private sector is found to be detrimental. Also, all three measures of gender inclusion (female employment to population, female labor force participation rate, and the number of women holding a seat in parliament) positively influence sustainable development. Contrastingly, the coefficients of digital inclusion (mobile phone subscription and internet usage) were revealed to be harmful to sustainable development in SSA. This paper advocates for increased financial inclusion through financial literacy, customized financial products, and gender‐sensitive financial services. Pertinent are gender policies that address gender norms in addition to the enactment, avowed commitment, and support for affirmative action toward closing gender gaps across all sectors and at all levels.

Swift action: scrutinizing emergency measures from the COVID-19 pandemic

This manuscript evaluates India’s emergency measures during the COVID-19 pandemic. Key actions including a nationwide lockdown to curb virus spread and strengthen healthcare infrastructure are thoroughly studied and its effects analysed. Healthcare responses included scaling up testing, medical supplies, and using the “Aarogya Setu” app for contact tracing are briefly looked at to assess effectiveness of the policies implemented by the government. The largest vaccination drive in the world which covered the vast population was no mean feat and worth applauding. Challenges included supply chain disruptions, healthcare disparities, and socio-economic inequalities. Comparisons with global practices highlighted areas for improvement. The evaluation underscores the importance of swift, adaptable, and inclusive policy measures, offering valuable lessons for future pandemic preparedness. The article aims to outline the various measures undertaken by the government and determine the effectiveness of them in controlling the outbreak of COVID-19 in the country.

Composite dietary antioxidant index and abdominal aortic calcification: a national cross-sectional study

PurposeThe Composite Dietary Antioxidant Index (CDAI) is a novel, inclusive measure for evaluating the antioxidant potential of diets. We aim to explore the link between the CDAI and abdominal aortic calcification (AAC) in U.S. adults aged ≥ 40 years.MethodsThis cross-sectional study collected dietary and AAC data for individuals aged ≥ 40 years from the 2013–2014 National Health and Nutrition Examination Survey (NHANES) database. The CDAI was calculated using six dietary antioxidants. AAC was evaluated using a semi-quantitative scoring system known as AAC-24, with an AAC score greater than 6 as severe AAC (SAAC). To examine the association between CDAI and AAC, including SAAC, liner/logistic regression analyses and smooth curve fitting were applied.ResultsA total of 2,640 participants were included in this study, and significant decreases in AAC score and SAAC prevalence were observed with ascending CDAI levels (P < 0.01). After adjusting for confounding factors, a clear link was established between the CDAI and both AAC score (β = -0.083, 95% CI -0.144–0.022, P = 0.008) and SAAC (OR = 0.883, 95% CI 0.806–0.968, P = 0.008), respectively. Further smooth curve fitting indicated a negative correlation between CDAI and both AAC score and SAAC.ConclusionsDietary antioxidant consumption, as quantified by the CDAI, shows an inverse relationship with AAC risk. Additional longitudinal and intervention studies are essential.

Reflecting on a Decade of Evolution: MapReduce‐Based Advances in Partitioning‐Based, Hierarchical‐Based, and Density‐Based Clustering (2013–2023)

ABSTRACTThe traditional clustering algorithms are not appropriate for large real‐world datasets or big data, which is attributable to computational expensiveness and scalability issues. As a solution, the last decade's research headed towards distributed clustering using the MapReduce framework. This study conducts a bibliometric review to assess, establish, and measure the patterns and trends of the MapReduce‐based partitioning, hierarchical, and density clustering algorithms over the past decade (2013–2023). A digital text‐mining‐based comprehensive search technique with multiple field‐specific keywords, inclusion measures, and exclusion criteria is employed to obtain the research landscape from the Scopus database. The Scopus‐obtained data is analyzed using the VOSViewer software tool and coded using the R statistical analysis tool. The analysis identifies the numbers of scholarly articles, diversities of article sources, their impact and growth patterns, details of most influential authors and co‐authors, most cited articles, most contributing affiliations and countries, and their collaborations, use of different keywords and their impact, and so forth. The study further explores the articles and reports the methodologies employed for designing MapReduce‐based counterparts of traditional partitioning, hierarchical, and density clustering algorithms and their optimizations and hybridizations. Finally, the study lists the main research challenges encountered in the past decade for MapReduce‐based partitioning, hierarchical, and density clustering. It suggests possible areas for future research to contribute further in this field.

Molecular and carbon isotopic geochemistry of oils with different fluorescence color from the Upper Jurassic Qigu formation and oil accumulation process in Yongjin area, Junggar Basin in China

The Yongjin area, located in the middle of the Junggar Basin, is an important oil-producing region. Its major oil-producing formation is the Upper Jurassic Qigu Formation, which has experienced multiple oil-charging events that have resulted in oils with various fluorescent colors. However, the source of oils from the Qigu Formation is currently debated. As exploration and development progressed, the productivity of the Qigu Formation was observed to vary owing to oil viscosity differences. Conventional extraction methods can only be used to obtain a mixture of fluorescing oils of different colors, making it difficult to analyze the properties of oils that charge during different periods. Using microscopy to observe fluorescence the characteristics of oil in various samples were analyzed. Then, accelerated sequential extraction was used to separate the oils with different fluorescent colors (Groups I–IV). Through GC-MS (gas chromatography), GC-IRMS (gas chromatography-mass spectrometry), FT-IR (fourier transform infrared spectroscopy), and fluid inclusion observations and measurements, in conjunction with the geological context, the sources of oils from different charge periods and genesis of heavy oil were determined and the process of oil accumulation was reconstructed. Three stages of oil charging were identified: (1) During the Middle to Late Jurassic, low-mature and mature oil from the Lower Permian Fengcheng Formation and a low quantity of low-mature oil from the Middle Permian Lower Wuerhe Formation charged the Qigu Formation. These oils underwent notable biodegradation and oxidation, with some captured by inclusions (Group III) for preservation. (2) During the Late Cretaceous to Early Paleogene, mature oil from the Wuerhe Formation charged the Qigu Formation. This oil mixed with early oil that was not captured by the inclusions, resulting in the formation of black-brown fluorescing oil (Group IV) and yellow fluorescing inclusion oil (Group II). (3) From the Late Paleogene to the present, highly mature condensates from the Lower Wuerhe Formation charged the Qigu Formation. The oil mixed with early oil to generate yellow-brown (Group II) and blue-white (Group I) fluorescing oils. Low-mature and mature oil from the Fengcheng Formation charged the Jurassic reservoirs and underwent secondary alteration, whereas high-mature oil and gas did not. These oils likely predominantly accumulated in reservoirs between the Fengcheng and Lower Wuerhe formations. Although the Jurassic source rocks began to generate oil, this oil did not migrate upward to the Qigu Formation, indicating that the conventional and unconventional reservoirs under the Jurassic Qigu Formation have exploration potential.

Political Participation for Social Inclusion of Internally Displaced Persons

Internally displaced persons (IDPs) have suffered multiple disadvantages and experienced social exclusion due to involuntary movement to new communities where they struggle to find opportunities for social inclusion. This study examined the political dimensions of social inclusion which focus on engaging IDPs in decision-making on issues that concern them. The study used the democratic participatory theory as a framework for political participation through decision-making. The qualitative exploratory study used in-depth interviews to collect data from twelve IDPs, comprising five females and seven males, who were resident in Benue State, Nigeria. Findings show that government does not incorporate the decisions and choices of IDPs when designing humanitarian measures for protection and assistance; IDPs are not communicated with on issues of interest to them; and IPDs lack sustainable opportunities for interaction with host communities. The study concludes that not incorporating the decisions of IDPs in issues of interest to them creates a culture of humanitarian aid dependency. The study recommends democratising solutions by using grassroots bottom-up measures for sustainable social inclusion of IDPs where solutions emerge from IDPs who are the end beneficiaries of the interventions. A discussion of the study findings is followed by concluding recommendations.

Unveiling the mask of Financial Exclusion: A Micro-Level Analysis of Gaddis and Gujjars Tribal Communities Financial Inclusiveness.

Financial exclusion is a pervasive issue that affects millions of individuals worldwide, hindering their economic growth and development. Despite efforts to promote financial inclusion, many individuals remain excluded from formal financial services, perpetuating a cycle of poverty and inequality. This study seeks to unveil the mask of financial exclusion by examining the micro-level factors that influence individual financial inclusiveness. Using a mixed-methods approach, analyze data from a survey of 382 non nomadic tribal community individuals in a developing country, supplemented by in-depth interviews with 90 nomadic tribal respondents. The results of this study reveal that financial exclusion is a complex phenomenon driven by a range of factors, including socioeconomic characteristics, financial literacy, and access to financial infrastructure. This study also find that existing measures of financial inclusion, such as account ownership and credit access, mask the true extent of financial exclusion, as many individuals with formal financial accounts still face significant barriers to using these services. This study contributes to the literature on financial inclusion by providing a nuanced understanding of the micro-level factors that shape individual financial inclusiveness. This research argue that policymakers must move beyond aggregate measures of financial inclusion and instead focus on addressing the specific needs and challenges faced by excluded individuals. By doing so, policymaker can create more effective policies to promote financial inclusion and reduce poverty and inequality

Design and validation of an automated and remote free space measurement system for nondestructive testing of fiber composites

Assessing electromagnetic constitutive parameters is crucial to prescribe the macroscopic properties of composites and their prospective applications. Free space methods are widely used for this purpose, due to their nondestructive/noncontact nature and their applicability on composites incorporating large inclusions or over-frequency bands where waveguide measurements are impractical. However, there still exists issues associated with automation, accurate calibration, remote controlling, and multifunctional characterization. Here, we designed and implemented a microwave-integrated laboratory including a test bench for permittivity/permeability and impedance measurements of individual inclusions and a free space setup for transmission/reflection measurements of fiber-based composites. Easy switching between the bench and antenna measurements was enabled by a homemade RF multiplexer. A three-stage calibration was applied: 2-port error correction (12-term model) of the vector network analyzer and the cables connecting it to the multiplexer, de-embedding of the cables connecting the multiplexer to the switches within the antenna pillars, and thru, reflect, and line (TRL) error correction for the antennas and free space. Exploiting robotics for precise antenna movement and TRL calibration enabled adjustment of the antenna distance to the test frame to a maximum of 2.5 m with a 100 μm accuracy. A multifunctional frame for external stimuli application was also designed. Apart from automation, remote control was realized through user-friendly graphical interfaces and remote access software allowing to swiftly respond to challenges faced during the global pandemic. The free space setup effectiveness was then validated by measuring the transmission/reflection of microwire-based composites from 0.5 to 20 GHz under various magnetic fields.

Inclusive measure development: amplifying the voices of adolescents and young adults with spina bifida in a new measure of benefit-finding and growth.

Benefit-finding and growth is an important process across a range of medical populations. However, it has been understudied in the context of lifelong chronic conditions, such as spina bifida (SB). This study aimed to develop a new measure of benefit-finding and growth for youth with SB, confirm its factor structure, and examine its psychometric properties. To generate items for the new measure, 20 adolescents and young adults with SB completed qualitative interviews regarding their experience of living with SB. Interviews were coded for benefits. Questionnaire items were generated from these benefits, and an expert panel refined the wording of these items. The resultant 31-item measure was shared with six of the 20 participants for feedback and then piloted among 251 youth with SB. The factor structure of the measure was confirmed and reliability and convergent validity were assessed. Both a one- and four-factor structure were supported. The four factors include: Life Perspectives and Priorities, Personal Characteristics and Traits, Connections and Opportunities, and Problem Solving. Higher total and factor scores represent greater benefit-finding and growth. The measure demonstrated excellent internal consistency (α = 0.95). The new measure also showed significant positive correlations with optimism, positive affect, and life satisfaction. This study produced a measure of benefit-finding and growth for youth with SB. Clinically, information about what youth with SB perceive to be their areas of strength and growth from their condition provides crucial insight into which factors to enhance in this population.

STRATIGRAPHY AND DIAGENESIS OF THE THAMAMA‐B RESERVOIR ZONE AND ITS SURROUNDING DENSE ZONES IN ABU DHABI OILFIELDS AND EQUIVALENT OMAN OUTCROPS

We review published studies characterizing the Thamama‐B reservoir zone in the upper Kharaib Formation (late Barremian) in Abu Dhabi oilfields and at outcrops in Oman. Available data for oxygen and carbon isotope compositions, fluid inclusion measurements, cement abundance and formation water composition are interpreted in terms of a paragenetic model for the Thamama‐B in field F in Abu Dhabi where the interval is deeply buried. The present synthesis provides a useful basis for understanding and predicting reservoir quality in static models and undrilled prospects, as well as for planning promising directions for further research. The goals of this study were to summarize the geologic setting and petrology of the Thamama‐B reservoir and its surrounding dense zones, and to examine how sedimentology, stratigraphy and diagenesis have interacted to control porosity and permeability. Results that may have useful applications for similar microporous limestone reservoirs in general include: the depositional environments and stratigraphy of the subject strata; a model for how porosity variations result mainly from calcite cementation sourced from stylolites, with little dependence on lithofacies other than the localization of chemical compaction by depositional clay linked to sequence stratigraphy; the use of solidity (rock thickness with porosity removed) as a check on porosity creation by burial dissolution; observations linking high‐permeability streaks with storm lag beds and fractures; the concept of strata being gradually buried through a relatively static salinity‐stratified water column; integration of conventional and clumped stable‐isotope data with petrologic observations to constrain the timing of porosity evolution.

Mapping the SMEFT at high-energy colliders: from LEP and the (HL-)LHC to the FCC-ee

We present SMEFiT3.0, an updated global SMEFT analysis of Higgs, top quark, and diboson production data from the LHC complemented by electroweak precision observables (EWPOs) from LEP and SLD. We consider recent inclusive and differential measurements from the LHC Run II, alongside with a novel implementation of the EWPOs based on independent calculations of the relevant EFT contributions. We estimate the impact of HL-LHC measurements on the SMEFT parameter space when added on top of SMEFiT3.0, through dedicated projections extrapolating from Run II data. We quantify the significant constraints that measurements from two proposed high-energy circular e+e− colliders, the FCC-ee and the CEPC, would impose on both the SMEFT parameter space and on representative UV-complete models. Our analysis considers projections for the FCC-ee and the CEPC based on the latest running scenarios and includes Z-pole EWPOs, fermion-pair, Higgs, diboson, and top quark production, using optimal observables for both the W+W− and the tt¯ channels. The framework presented in this work may be extended to other future colliders and running scenarios, providing timely input to ongoing studies towards future high-energy particle physics facilities.