Magnitude Of Gap Research Articles

Exchange-rate regime and sectorial profitability in a small open economy: evidence from Argentina’s recent experience

This paper studies, both theoretically and empirically, tradable ( T ) and non-tradable ( N ) profit rates dynamics in a small, price-taker peripheral economy under foreign exchange controls and parallel exchange rates (ER). Using a state-space econometric representation of the Argentine economy for the period 2016–2023, we found evidence to support three main hypotheses derived from the theoretical models. First, an official exchange rate depreciation increases tradable goods profit rates but has no short-term effect on non-tradeable goods profitability. Second, the rise of the parallel exchange rate increases sector N ’s profit rate but has no effect on T ’s. Moreover, this effect depends on the magnitude of the ER gap in a positive, but non-linear way. Third and finally, over sufficient time, both profit rates tend to influence each other, through the action of competition. This means that, eventually, and increase (depreciation) in the official exchange rate exerts its influence on sector N ’s profit rate; while, if sufficiently persistent and big enough, a rise in the financial ER ends up affecting sector T ’s profit rate too.

Decomposing the Gender Wage Gap in the Urban Labor Market in Kenya

Abstract Legislation and regulation have been effective in reducing the gender wage gap in developed countries; however, the gap still exists globally, and progress towards narrowing the gap has been unacceptably slow even in regions where it is improving. This study presents the analysis of gender wage gap in Kenya’s urban labor market by using the World Bank Skills Towards Employability and Productivity Survey (WBSTEPS). This study employed Mincer earnings regressions with Heckman selection correction and the Blinder-Oaxaca and Neumark decomposition procedures to answer the research questions. The results of the wage determination and participation in the labor market show that there is no selectivity-bias problem. Personal characteristics such as education and age, as well as work-related characteristics, are important factors in determining earnings. The magnitude of the gender wage gap varies across the wage distribution, and the results of the wage decomposition reveal that women in urban Kenya earn 84.5-to-86% of men’s earnings. The earnings gap is overwhelmingly due to differences in returns to endowments, which account for between 70% and 94.7% of the total earnings gap. Admittedly, the study found evidence of discrimination against women in the returns to endowments, but also observed pronounced favoritism towards men. However, discrimination against women is more pronounced than favoritism towards men. Addressing the gender wage gap in Kenya requires a multifaceted approach that tackles both systemic biases against women and structural barriers that hinder women from accessing equal opportunities in education, training, and career advancement and government policies that minimize favoritism towards men.

Changes in Family Structure and Increasing Care Gaps in the United States, 2015–2050

Research on caregiving in the United States has not clearly identified the scope of the gap between care needed and care received and the changes implied by ongoing and anticipated shifts in family structure. This article examines the magnitude of contemporary gaps in care among older adults in the United States and how they are likely to evolve through 2050. We use data from the Health and Retirement Study (1998–2014) to estimate care gaps, operationalized as having difficulties with activities of daily living (ADLs) or instrumental activities of daily living (IADLs) but not receiving care. We also estimate variation in care gaps by family structure. Then, we use data from demographic microsimulation to explore the implications of demographic and family changes for the evolution of care gaps. We establish that care gaps are common, with 13% and 5% of adults aged 50 or older reporting a care gap for ADLs and IADLs, respectively. Next, we find that adults with neither partners nor children have the highest care gap rates. Last, we project that the number of older adults with care gaps will increase by more than 30% between 2015 and 2050—twice the rate of population growth. These results provide a benchmark for understanding the scope of the potential problem and considering how care gaps can be filled.

USCT-UNet: Rethinking the Semantic Gap in U-Net Network from U-shaped Skip Connections with Multichannel Fusion Transformer.

Medical image segmentation is a crucial component of computer-aided clinical diagnosis, with state-of-the-art models often being variants of U-Net. Despite their success, these models' skip connections introduce an unnecessary semantic gap between the encoder and decoder, which hinders their ability to achieve the high precision required for clinical applications. Awareness of this semantic gap and its detrimental influences have increased over time. However, a quantitative understanding of how this semantic gap compromises accuracy and reliability remains lacking, emphasizing the need for effective mitigation strategies. In response, we present the first quantitative evaluation of the semantic gap between corresponding layers of U-Net and identify two key characteristics: 1) The direct skip connection (DSC) exhibits a semantic gap that negatively impacts models' performance; 2) The magnitude of the semantic gap varies across different layers. Based on these findings, we re-examine this issue through the lens of skip connections. We introduce a Multichannel Fusion Transformer (MCFT) and propose a novel USCT-UNet architecture, which incorporates U-shaped skip connections (USC) to replace DSC, allocates varying numbers of MCFT blocks based on the semantic gap magnitude at different layers, and employs a spatial channel cross-attention (SCCA) module to facilitate the fusion of features between the decoder and USC. We evaluate USCT-UNet on four challenging datasets, and the results demonstrate that it effectively eliminates the semantic gap. Compared to using DSC, our USC and SCCA strategies achieve maximum improvements of 4.79% in the Dice coefficient, 5.70% in mean intersection over union (MIoU), and 3.26 in Hausdorff distance.

Yield gap analysis for rainfed grain sorghum in Kansas

AbstractIn the United States, grain sorghum [Sorghum bicolor (L.) Moench] production is concentrated in the US Great Plains region, with the state of Kansas accounting for ∼50% of the planted area. In Kansas, state‐level grain yields steadily increased at a rate of 0.07 Mg ha−1 year−1 from 1957 to 1990. However, since 1990, sorghum yield trends across the United States and Kansas have been exhibiting signs of yield stagnation. The objectives of this study were to (1) quantify the magnitude of the yield gap and (2) identify possible reasons for yield stagnation of rainfed sorghum in Kansas. Current yield (Yc) was estimated as the average yield of the most recently reported 10 years. Maximum attainable yield (Ya) and water‐limited potential yield (Yw) were estimated with a frontier yield function using an extensive dataset of crop performance trials, yield contest data, and county‐level survey yield data totaling 2997 site‐years. State‐level Yc was 4.7 Mg ha−1, which represents 77% of Ya and 49% of Yw. At a regional level, there is a trend of increasing yield gap in central and western Kansas sorghum‐producing regions. Sorghum yield in Kansas appears to be stagnant due to a small exploitable yield gap relative to Ya rather than Yw, a statewide shift in planting area to environments more vulnerable to water deficits, and cultivation in soils with moderate to severe limitations.

Gender differences in adolescents' life satisfaction: A replication study in Kazakhstan.

Whether adolescents' life satisfaction varies with gender is unclear. In a recently published study, Brisson et al. found unadjusted mean scores of life satisfaction to be higher in boys than in girls in Luxembourg, a country ranking high in gender-equality indexes. However, gender was no longer predictive of life satisfaction when well-identified predictors of life satisfaction were included in the model. The present work aimed to replicate Brisson et al.'s study in Kazakhstan, a less gender-equal country than Luxembourg, and test the gender-equality-paradox hypothesis. We used cross-sectional data from the Health-Behavior in School-aged Children study conducted in 2022 to mirror Brisson et al.'s study design. We relied on a nationally representative sample of 7369 school attendees in Kazakhstan (MAGE = 13.4; SDAGE = 1.7; 52.3% female). We performed general linear modeling analyses to achieve our research goals. In keeping with Brisson et al.'s study, we found unadjusted mean scores of life satisfaction to be higher in boys than in girls. The magnitude of the gender gap was lower in Kazakhstan than in Luxembourg. In contrast to Brisson et al.'s study, controlling for well-identified predictors of life satisfaction did not annul the gap in question but changed its sign. This result suggests that, ceteris paribus, girls were more satisfied with their life than boys. Overall, our replication study supports the gender-equality-paradox hypothesis. Future studies may investigate whether this paradox stems from gendered criteria of life satisfaction assessment and/or sociobiological differences in health profiles.

Doping dependence and multichannel mediators of superconductivity: calculations for a cuprate model

We study two aspects of the superconductivity in a cuprate model system, its doping dependence and the influence of competing pairing mediators. We first include electron–phonon interactions beyond Migdal’s approximation and solve self-consistently, as a function of doping and for an isotropic electron–phonon coupling, the full-bandwidth, anisotropic vertex-corrected Eliashberg equations under a non-interacting state approximation for the vertex correction. Our results show that such pairing interaction supports the experimentally observed dx2−y2 -wave symmetry of the superconducting gap, but only in a narrow doping interval of the hole-doped system. Depending on the coupling strength, we obtain realistic values for the gap magnitude and superconducting critical temperature Tc close to optimal doping, rendering the electron–phonon mechanism an important candidate for mediating superconductivity in this model system. Second, for a doping near optimal hole doping, we study multichannel superconductivity, by including both vertex-corrected electron–phonon interaction and spin and charge fluctuations as pairing mechanisms. We find that both mechanisms cooperate to support an unconventional d-wave symmetry of the order parameter, yet the electron–phonon interaction is mainly responsible for the Cooper pairing and high critical temperature Tc . Spin fluctuations are found to have a suppressing effect on the gap magnitude and critical temperature due to their repulsive interaction at small coupling wave vectors.

Rural China and the gender gap in early social-emotional development

Rural girls in China stay in school longer than boys and outperform them in many subjects. This gender gap suggests analogous disparities in early childhood development, a key factor in later educational outcomes. This study examines gender disparities in social-emotional development among 1,301 children aged 18–30 months in rural China. Results indicate that male children trail their female counterparts by 0.18 SD on average on the scale of standardized ASQ:SE score. A large share of the difference is driven by the bottom 10 % of children, where the magnitude of the gender gap (0.34 SD) is 1.9 times larger than at the median (0.19 SD). Demographic characteristics are uncorrelated with the gender gap in heterogeneity analysis, suggesting that the mechanisms underlying observed gender disparities are similar across rural Chinese households.

Resting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome

ObjectiveElectroencephalography (EEG) can be used to estimate neonates’ biological brain age. Discrepancies between postmenstrual age and brain age, termed the brain age gap, can potentially quantify maturational deviation. Existing brain age EEG models are not well suited to clinical cot-side use for estimating neonates’ brain age gap due to their dependency on relatively large data and pre-processing requirements. MethodsWe trained a deep learning model on resting state EEG data from preterm neonates with normal neurodevelopmental Bayley Scale of Infant and Toddler Development (BSID) outcomes, using substantially reduced data requirements. We subsequently tested this model in two independent datasets from two clinical sites. ResultsIn both test datasets, using only 20 min of resting-state EEG activity from a single channel, the model generated accurate age predictions: mean absolute error = 1.03 weeks (p-value = 0.0001) and 0.98 weeks (p-value = 0.0001). In one test dataset, where 9-month follow-up BSID outcomes were available, the average neonatal brain age gap in the severe abnormal outcome group was significantly larger than that of the normal outcome group: difference in mean brain age gap = 0.50 weeks (p-value = 0.04). ConclusionsThese findings demonstrate that the deep learning model generalises to independent datasets from two clinical sites, and that the model’s brain age gap magnitudes differ between neonates with normal and severe abnormal follow-up neurodevelopmental outcomes. SignificanceThe magnitude of neonates’ brain age gap, estimated using only 20 min of resting state EEG data from a single channel, can encode information of clinical neurodevelopmental value.

Effect of hetero-valence ions on structural and electrical properties of La2Ni(Mn0.5Ti0.5)O6 ceramics

The study of powder X-ray diffraction of La2Ni(Mn0.5Ti0.5)O6 (0.5LNMT) confirms a multi-phasic composition. The monoclinic P21/n phase content dominates. Occurrence of minor rhombohedral R3‾c phase and precipitates of MnO2 and La2MnO4 were detected. The morphology was analyzed using a SEM test and ceramics showed a porous structure and variation in the grain size below 4 μm. Dielectric permittivity of marked magnitude varies from ∼30 to ∼100 000 when temperature increases. Dielectric loss coefficient frequency dependence exhibits well-defined dielectric relaxation peaks, which were found to obey the Arrhenius law with the activation energy of 0.29 eV, below the presumed phase transition. Two sets of relaxation peaks in the imaginary part of electric modulus spectra relate to relaxations of different activation energies of 0.28 eV and 0.38 eV. An optical gap magnitude of 0.8 eV was determined from the diffuse reflectance spectrum in the Vis-NIR range. It compares with the band gap estimated from the X-ray photoelectron spectroscopy test. We also compare the influence of doping ions on the crystal lattice of the surface and the bulk ceramics. Electrical conductivity relaxation processes were attributed to the electron hopping mechanism between multi-valence Mnk+ and Nin+ ions’ states, which were determined from XPS analysis. The dc resistivity shows thermally generated dependence. Activation energy Edc magnitude varies between 0.27 and 0.37 eV which indicates the occurrence of defects and structural disorder. Such disorder correlates to the variable range hopping of small polarons involved in electrical conductivity. The density of states near Fermi energy was estimated N(EF) = 2.1 × 1025 eV−1 m−3. The 0.5LNMT application prospects were discussed.

DFT and TD-DFT studies of perovskite materials LiAX3 (A=Ge, Sn; X= F, Cl, Br, I) in reference to their solar cell applications

Halide perovskite materials have attracted a huge interest of researchers due to their fascinating optoelectronic properties. In this report, structural, electronic, optical, and thermoelectric properties of Li-based perovskite materials LiAX3 (A = Ge, Sn; X = F, Cl, Br, I) are analyzed using Density Functional Theory (DFT). Functionals- B3LYP/LanL2DZ, B3LYP/def2-TZVP and B3LYP/LanL08 within the DFT framework are applied for geometry optimization of these perovskites. The results show a marked variation in magnitude of HOMO-LUMO energy gap of LiGeX3 and LiSnX3 with respect to different functionals viz. B3LYP/LanL2DZ, B3LYP/def2-TZVP and B3LYP/LanL08. LiGeF3 and LiSnF3 show the maximum values of HOMO-LUMO energy gap. The computed energy gap lies in the range required for perovskite materials to exhibit solar cell applications. A number of CDFT-based descriptors and Optical properties of LiAX3 are also studied and reported accordingly. Our computed results show that lattice constants, volume, formation energy, polarizability, refractive index, dielectric constant, entropy, heat capacity and wavelength of LiAX3 increases from F to I, whereas, HOMO-LUMO energy gap, electronegativity, electrophilicity index, optical electronegativity, vibrational frequencies, peak IR intensity, vibrational energy, total energy, zero-point vibrational energy, Gibbs free energy and photon energy decreases in the reverse direction.

Can the Phillips curve provide answers to current high inflation rates

Motivated by the weak response of the inflation rate to the tight labor market, the Federal Reserve (Fed) Bank stepped away from its longstanding preemptive policy to fight inflation as the economy approached full employment. This paper aims to reevaluate the relationships of four measures of inflation with the unemployment rate. We accomplish this task by allowing the Phillips curve (PC) slope to vary over time and depend on the magnitude of the unemployment gap. Assessed by both PC convex specification assessment and the Markov chain Monte Carlo (MCMC) estimation method, we confirm the convexity of the PC when the unemployment gap is negative. In addition, we show that the slope of the PC more than doubled when we allow the coefficient on the economic slack to vary over time. Thus, our study shows that PC is still a relevant tool for guiding monetary policy.

Ten questions regarding buildings, occupants and the energy performance gap

Buildings’ energy use in the operation phase can significantly deviate from prior estimations obtained from calculation or simulation. This divergence is commonly labelled as the energy performance gap and multiple factors have been suggested to be responsible for it, including, prominently, occupants’ behaviour. However, the literature on the contributors to and magnitude of the energy performance gap is rather inconclusive. The purported role of occupants as the main culprit of the energy performance gap is likewise insufficiently substantiated. This paper poses and treats 10 questions to address these issues and contribute to a more rigorous discussion of the building-related energy performance gap.

Correlations between Ca ii H and K Emission and the Gaia M Dwarf Gap

The Gaia M dwarf gap, also known as the Jao Gap, is a novel feature discovered in the Gaia Data Release 2 G versus BP-RP color–magnitude diagram. This gap represents a 17% decrease in stellar density in a thin magnitude band around the convective transition mass (∼0.35 M ⊙) on the main sequence. Previous work has demonstrated a paucity of Hα emission coincident with the G magnitude of the Jao Gap in the solar neighborhood. The exact mechanism that results in this paucity is as of yet unknown; however, the authors of the originating paper suggest that it may be the result of complex variations to a star’s magnetic topology driven by the Jao Gap’s characteristic formation and breakdown of stars’ radiative transition zones. We present a follow-up investigating another widely used magnetic activity metric, Calcium ii H and K emission. Ca ii H and K activity appears to share a similar anomalous behavior as Hα does near the Jao Gap magnitude. We observe an increase in star-to-star variation of magnetic activity near the Jao Gap. We present a toy model of a star’s magnetic field evolution, which demonstrates that this increase may be due to stochastic disruptions to the magnetic field originating from the periodic-mixing events characteristic of the convective kissing instabilities that drive the formation of the Jao Gap.

Forage brassicas can enhance the feed base and mitigate feed gaps across diverse environments

Context Spring-sown forage brassicas are commonly used to fill feed gaps in high-rainfall temperate livestock systems, but they have wider potential as an autumn-sown forage in drier environments within Australia’s crop–livestock zone. Aims We modelled the production potential of autumn-sown forage brassicas grown in diverse environments and tested their ability to alter the frequency and magnitude of feed gaps. Methods Long-term production potential was simulated in APSIM for four forage brassica genotypes, compared with forage wheat and dual-purpose canola across 22 diverse agro-climatic locations. For seven regions, the change in frequency and magnitude of forage deficits from adding forage brassicas to representative forage–livestock systems was predicted. Key results Across locations, median yields of forage brassicas ranged from 7 to 19 t DM/ha, and their annual metabolisable-energy yield was higher than that of forage wheat at most sites and nearly always exceeded dual-purpose canola. Forage brassicas performed better than forage wheat in later-sowing events (late April to early May) and maintained growth and quality later into spring. At five of the seven regions, adding 15% of farm forage area to forage brassicas reduced the frequency and magnitude of feed deficits by 35–50% and 20–40%, respectively. However, they were less beneficial where winter–spring feed gaps are uncommon. Conclusions We demonstrated that autumn-sown forage brassicas can be reliable and productive contributors to the feed base in drier environments and are a suitable alternative to forage cereals. Implications Forage brassicas can help reduce feed gaps and improve livestock production in a range of production systems spanning Australia’s crop–livestock zone.

Abstract 04: Intersectional Inequities in Obesity Among Multiracial Adults by Urbanicity: A Random Effects MAIHDA Analysis

Based on 2020 Census Bureau data, the percentage of people who reported multiple races changed more than all of the race alone groups, increasing from 2.9% of the population (9 million people) in 2010 to 10.2% of the population (33.8 million) in 2020. Yet, the majority of national health surveys aggregate all individuals who identify with multiple races into one heterogeneous group. We hypothesize this aggregation masks important differences in terms of health. Beyond the aggregation, there are multiple dimensions of race/ethnicity including racial self-identification (the race(s) one identifies with), racial category (the census category one selects), Hispanic ethnicity, and others that do not ideally overlap among multiracial adults. For multiracial adults, it is unknown how these multiple contexts of race and ethnicity intersect with one another. We evaluated the intersection of racial self-identification, racial category, and Hispanic ethnicity on body mass index (BMI) among multiracial adults as a second-level social identity strata. We then examined if these intersectional inequities in BMI were differently patterned in urban, suburban, and rural areas. We used multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) among multiracial adults in the US (n=42,632) with a three-year (2010-2012) pooled sample of the Behavioral Risk Factor Surveillance System (BRFSS). We observed intersectional effects on BMI inequities. Most of the effects of social identity on BMI were explained by the combination of racial self-identification, racial category, and Hispanic ethnicity among multiracial adults (85.3%). Those living in a rural area had considerably higher BMIs than those living in an urban or suburban area. This is especially true for individuals with racial self-identification of White-Black, White-Native Hawaiian/Pacific Islander (NHPI), Black-American Indian/Alaska Native (AIAN), Asian-NHPI, and White-Black-AIAN and those who chose the racial category of NHPI. For example, individuals who self-identified as White-Black had an average BMI 4.5 kg/m 2 (p<0.01) higher in rural areas compared to White-Blacks living in urban areas. The magnitude of this BMI gap across urban-rural environments varied considerably across social identity strata ranging from 35.3 kg/m 2 among Non-Hispanic White-Black-AIAN with no preference for one race to 22.5 kg/m 2 among Non-Hispanic White-Asian with no preference for one race. This study highlights aspects of the social construction of race and patterning across the urban-rural divide in evaluation of BMI/obesity. This study brings to light inequities within people who identify as multiracial and highlights sub-populations to focus future policy and intervention research on.

Role of an Extended d-Wave Gap on Superfluid Density and Critical Current Density in Cuprate Superconductors

In this study, we examined the superfluid density, ρs, and the critical current density, Jc in cuprate superconductors. To calculate the superconducting gap and the superfluid density, we applied the Chandrasekhar and Einzel approach, employing an extended d-wave symmetry of the gap. In particular, to determine the superfluid density, the temperature dependence of the extended d-wave gap magnitude has been calculated using the self-consistent gap equation. We compared the results of our calculations for the critical current density with experimental data obtained from different cuprate superconductors. In all the cases we examined, we found a good agreement between the theory and the experimental data.

The progressive place paradox: Status-based health inequalities are magnified in more economically progressive Swiss localities

Low socioeconomic status (measured both objectively and subjectively) is systematically associated with worse health. Amid renewed interest in contextual influences on health inequalities, we ask whether variation in the prevailing ideological climate moderates the size of the health gap between low and high status individuals. Based on the minority stress hypothesis, we expect that living in an economically progressive place within Switzerland – places where more residents endorse the need for change to the economic status quo – will reduce the magnitude of the health gap. Multilevel modelling of MOSAiCH 2015–2020 data shows the opposite: low status individuals in progressive places report markedly lower subjective health and life satisfaction than similarly low status individuals in conservative places, such that status-based health inequalities are maximised in progressive places. We interpret this apparent progressive place paradox in terms of collective inefficacy and system frustration, which we argue is the corollary of system justification.

High-performance ammonia gas sensor based on spray pyrolysis developed In2O3:La films

La doped indium oxide (In2O3:La) thin films were deposited on glass substrate by nebulizer spray pyrolysis by different La doping concentrations. The crystalline structure, morphology, optical and gas sensing properties of thin films were investigated. XRD diffractograms present cubic crystal structure of In2O3 films, with decreased crystallite size with the incorporation of La dopants. SEM analysis of thin film samples exhibits approximately cube-shaped morphology without any cracks of microstructures. The optical band gap magnitude shows shift in energy values in the range of 3.12–3.29 eV with increasing La concentrations. For all films, the photoluminescence spectra showed violet-blue emission peaks at around 420–480 nm. All of the developed films were tested for ammonia (NH3) gas detection at ambient temperature. In2O3:La 5% sensor had the highest gas response value of 1720%, a quicker response and recovery times of 48/12 s, respectively, suggesting the sample could be better suited for the application of NH3 gas sensor.

Preparing and studying of Au Nanocomposites Synthesized with different polymer matrix

This work investigates the impact of several polymer matrix types, which are utilised as a capping layer around gold particles, on the optical properties. Nanocomposite materials consisting of gold and polymers such as polyethylene oxide, polyvinyl alcohol, and polyvinyl pyrrolidone were produced by a chemical reduction process. Tri sodium citrate was employed as the reducing agent. using the drop casting approach, nanocomposites based on gold were successfully put as a film on glass substrates.. An investigation was conducted to determine the influence of the polymer matrix type on the optical properties, including surface plasmon resonance, direct band gap, and indirect band gap. Furthermore, the absorption spectra of the materials that were synthesised demonstrated that the selection of the polymer that was utilised during the preparation process has a considerable impact on the location of the plasmonic absorption peak as well as the magnitude of the energy gap. Within the range of 1.9 to 2.3 electron volts (eV), the band gaps were found to be present.