Changes In Patterns Research Articles

Analysis and Optimization of the Noise Reduction Performance of Sound-Absorbing Materials in Complex Environments

The acoustic performance of sound barrier absorption materials utilized in substations is subject to variations due to factors such as sandstorms, corrosion, and rainfall. In this study, a model of the absorbing material was developed based on the Delany–Bazley model using COMSOL simulation software, version 5.6. The influence of porosity and material thickness on the absorption coefficient was analyzed, and the patterns of change were summarized. The results indicated that porosity significantly affected the entire analysis frequency range, while material thickness had a more pronounced impact in the low-frequency range. Building upon these findings, a blended fiber absorption material was formulated through research efforts. Experimental results demonstrated that the aluminum fiber diameter measured 30 microns, while the aramid fiber diameter was 12 microns; additionally, their mass ratio was established at 3:1. The material thickness was determined to be 10 cm with a face density of 2500 g/m2, resulting in optimal absorption performance. Durability tests revealed that this material could sustain effective acoustic performance across various complex environments. Finally, simulations and analyses regarding noise reduction effects were conducted within actual application scenarios; it was found that the noise reduction capability of the blended fiber sound barrier absorption material exceeded that of glass wool by 4.78 dB.

Excess mortality of infected ectotherms induced by warming depends on pathogen kingdom and evolutionary history

Climate change is causing extreme heating events and leading to more infectious disease outbreaks, putting species persistence at risk. The extent to which warming temperatures and infection may together impair host health is unclear. Using a meta-analysis of >190 effect sizes representing 101 ectothermic animal host–pathogen systems, we demonstrate that warming significantly increased the mortality of hosts infected by bacterial pathogens. Pathogens that have been evolutionarily established within the host species showed higher virulence under warmer temperatures, too. Conversely, the effect of warming on novel infections—from pathogens without a shared evolutionary history with the host species—were more pronounced with larger differences between compared temperatures. We found that compared to established infections, novel infections were more deadly at lower/baseline temperatures. Moreover, we revealed that the virulence of fungal pathogens increased only when temperatures were shifted upwards towards the pathogen thermal optimum. The magnitude of all these significant effects was not impacted by host life-stage, immune complexity, pathogen inoculation methods, or exposure time. Overall, our findings reveal distinct patterns in changes of pathogen virulence during warming. We highlight the importance of pathogen taxa, thermal optima, and evolutionary history in determining the impact of global change on infection outcomes.

Topological Analysis of U.S. City Demographics

AbstractWe apply persistent homology, the main method in topological data analysis, to the study of demographic data. Persistence diagrams efficiently summarize information about clusters or peaks in a region’s demographic data. To illustrate how persistence diagrams can be used for exploratory analysis, we undertake a study of the 100 largest U.S. cities and their Black and Hispanic populations. We use our method to find clusters in individual cities, determine which cities are outliers and why, measure and describe change in demographic patterns over time, and roughly categorize cities into distinct groups based on the topology of their demographics. Along the way, we highlight the advantages and disadvantages of persistence diagrams as a tool for analyzing geospatial data.

Growing beyond trade: Export shocks and the spatial expansions of bank branching

AbstractThis paper empirically examines the impact of tariff reductions for exporters on banks' location choices with geo‐referenced information on subsidiaries and branches of China's state‐owned and joint‐stock banks. We construct prefecture‐level tariff barrier changes faced by exporters from 2001 to 2007 and identify the impact by exploiting within‐bank cross‐prefecture changes in bank branching patterns. The empirical results suggest a positive and significant pass‐through from export expansion to banks' geographic expansion. Specifically, a 10% export tariff reduction would induce a 1.88% increase in the local number of bank branches. This result holds under a battery of robustness tests. Mechanism tests suggest that increased credit demand in the corporate sector, both at the intensive and extensive margins, is the main channels that explain the baseline patterns. The findings in this paper offer valuable insights into the relationship between internationalisation and financial development.

Role of apoptosis-associated proteins p53 and bcl-2 in the pathogenesis of nervous system diseases

Diseases of the central nervous system occupy a leading place, along with cardiovascular and oncological diseases, and the proportion of patients suffering from diseases of the nervous system is increasing as the population ages. This group of diseases includes acute conditions, such as ischemic stroke, and chronic multifactorial diseases — Alzheimer's and Parkinson's diseases, epilepsy, etc. The development of specific methods for their treatment is difficult, and these drugs are not very effective. Almost all brain diseases are based on common mechanisms such as oxidative stress, inflammation and neuronal death. Most often, cells die by apoptosis due to an imbalance between pro-apoptotic and anti-apoptotic factors. This work examines two of them: the apoptosis-promoting transcription factor and tumor suppressor p53 and its opposing B-cell lymphoma protein Bcl-2. The choice of these proteins for study is due to the fact that both proteins are key regulators of apoptosis and are important in the pathogenesis of nervous diseases, since neurons are not highly proliferating cells. The p53 protein is involved in the regulation of many genes responsible for DNA repair, apoptosis, and other biochemical cellular processes; this is especially important when studying neuronal pathology. Bcl-2 suppresses apoptosis in various cells, including neurons, by controlling mitochondrial membrane permeability and inhibiting caspases. In diseases, its expression can either increase, for example, in the case of malignant tumors, or decrease, as in the case of neurodegenerative processes. It has been established that p53 and Bcl-2 are in close interaction in the process of regulating apoptosis; their ratio may be an important prognostic factor. The purpose of this work was to assess the role of these proteins in the pathogenesis of various diseases of the nervous system, and to search for general patterns of changes in their expression and coexpression.

Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes.

Shifting cultivation, an age-old agricultural practice, is a major factor in forest cover change across Southeast Asia, where repeated cycles of vegetation disturbance and regrowth lead to far-reaching environmental and socio-economic impacts. The present study aims to assess the spatio-temporal patterns of vegetation disturbance and regrowth caused by shifting cultivation in Tripura state of India, over the past three decades, utilizing temporal segmentation of time-series Landsat data. The study analyzed vegetation disturbance and regrowth patterns in a shifting cultivation landscape from 1991 to 2020 using normalized burn ratio trends through LandTrendr, validated by the TimeSync tool. Six land use and land cover classes, viz., forests and trees outside forests, rubber plantation, shifting cultivation, water bodies, agriculture, and settlements, were mapped with an accuracy of 83.08% using a random forest classifier. This classification enabled the identification of the effective study area, which included forest areas with shifting cultivation patches. The analysis revealed that 2533.96 km2 of the study area remained undisturbed, 568.43 km2 experienced low-magnitude disturbance, 1501.11 km2 were moderately disturbed, and 184.82 km2 were highly disturbed. The shifting cultivation cycles in the study area show considerable variation. Low-magnitude disturbance indicates a single slash-and-burn event in the past three decades, moderate-magnitude disturbance involves fallow periods of over 10 years, and high-magnitude disturbance occurs with fallow periods of less than 8 years. The study revealed a shift from traditional shifting cultivation to more permanent agricultural practices in parts of Tripura. In response to incentives for commercial crops, cultivators are increasingly adopting long-term cultivation, including the growing of pineapple, areca nut, and rubber, as well as intercropping with papaya, banana, lemon, tapioca, pepper, and ginger. These plots are, however, abandoned if the yields become economically unviable. The expansion of monoculture cultivation significantly reduces the available area for shifting cultivation, thereby compelling jhum cultivators to revisit their jhum patches more frequently. This study is a first-of-its-kind attempt in the Indian context and sheds light on changing patterns in an age-old agricultural practice.

Rescaling perceptual hand maps by visual-tactile recalibration.

After concurrent visual and tactile stimuli have been presented repeatedly with a spatial offset, unisensory tactile stimuli, too, are perceived with a spatial bias towards the previously presented visual stimuli. This so-called visual-tactile ventriloquism aftereffect reflects crossmodal recalibration. As touch is intrinsically linked to body parts, we asked here whether recalibration occurs at the level of individual stimuli or at a higher, integrated, map-like level. We applied tactile stimuli to participants' hidden left hand and simultaneously presented visual stimuli with spatial offsets that, if integrated with the tactile stimuli, implied a larger hand. After recalibration, participants pointed to tactile-only stimuli and judged the distance between two tactile stimuli on the hand. The pattern of changes in tactile localization after recalibration was consistent with participants aiming at targets on an enlarged hand. This effect was evident also for new, tactile-only locations that had not been paired with visual stimuli during recalibration. In contrast, distance judgements were not consistently affected by recalibration. The generalization of recalibration to new, non-trained stimulus sites, but not across tasks and responses, suggests a link of low-level multisensory processing and map-like body representations that may, however, be purpose-specific and not organized as a general-purpose "body schema".

Intelligent Prestack Multi-trace Seismic Inversion Constrained by Probabilistic Geological Information

Seismic inversion uses observed data including well-logging and seismic data to infer rock parameters. However, it still suffers from non-unique solutions. The non-uniqueness increase when extrapolating away from well location. To mitigate this effect, we incorporate geological information into a deep learning (DL) framework in the form of generated probabilistic labels. We transform geological information into reservoir heterogeneity (RH) weights and geological pattern constraint (GPC) weights to generate probabilistic labels. The RH weights are used to capture the variability in accuracy during the spatial extrapolation of well data. The RH weights are used to balance the constraint weights between well and seismic data in the DL model. The GPC weights are used to characterize the changes of geological patterns from well locations to non-well locations. Based on variations in local prestack seismic waveforms, the DL model learns extrapolation patterns of well data with similar geological patterns. By combining the rock parameters derived from well logs with these two types of weights, we can generate a series of probability labels. Two types of geological information and well-logging data are deeply integrated into a supervised 2D-ResUNet framework. In this way, we develop a novel DL-based prestack multi-trace seismic inversion method. We validate our method on a 3D synthetic model and a 3D field dataset. The results show that our method exhibits great potential for characterizing the spatial variation of subsurface rocks and outperforms traditional deep learning methods.

The Evolution of Consumption in the Digital Era: An Islamic Economic Perspective from Traditional Markets to Modern Markets

Economic growth in various sectors, such as industry, production, and modern markets, has undergone changes as a result of advanced economic growth, particularly in large cities. Conversely, the shift from traditional lifestyles to modern lifestyles has led to changes in consumer spending patterns. The goal of this study is to determine the impact of modern market development on people's economies and lifestyles. The second factor that most influences consumers' decisions to shop at modern markets rather than traditional markets is the factor that most affects their decision to shop at modern markets. The research method used in this study is qualitative. Research findings indicate that consumer behavior has shifted from traditional markets to modern markets for several reasons, one of which is that modern markets offer convenient facilities.

Dynamic changes of radiological and radiomics patterns based on MRI in viable hepatocellular carcinoma after transarterial chemoembolization.

This study aims to analyze the magnetic resonance imaging (MRI) change patterns of viable hepatocellular carcinomas (HCCs) following the initial transarterial chemoembolization (TACE). A retrospective analysis of HCC patients' initial TACE from February 2015 to October 2022 across three centers and a clinical trial (NCT03113955) was conducted. The viability of residual HCCs at one and six months after TACE was evaluated using the LI-RADS Treatment Response Algorithm (LR-TRA) v2024. The radiological and radiomics features of post-TACE viable tumors between baseline and one-month, and between one- and six- months were compared using Wilcoxon signed-rank test and McNemar's test. A total of 160 viable tumors were included in the study. Viable tumors at one month after TACE exhibited higher T1WI intensity (P =.024), lower T2WI intensity (P =.005), fewer washout features (P <.001), smaller size (P <.001), and higher ADC values (P <.001) compared to baseline HCC imaging.A significant reduction in DWI intensity (P =.002) and ADC values (P <.001) were observed in viable tumors at one month compared to those at six months. There were 82 (45.1%) radiomics features that changed significantly between the baseline and one-month. Only three radiomics features showed statistically significant difference of viable tumors between one- and six-month. Compared to the baseline, viable HCCs after TACE demonstrated significant changes of imaging characteristics in a series of radiological and radiomics features at one- and six-month follow-ups. Clinically diagnosing of viable HCCs using radiological methods is challenging. A comprehensive analysis of these imaging characteristics can facilitate the accurate identification of viable tumors.

Contrasting Precipitation Variations over the Himalayas–Southeastern Tibetan Plateau in Winter: Insights from the Perspectives of Anthropogenic Warming and Arctic Sea Ice Variations

Abstract Climate warming has caused widespread glacier retreat across the Tibetan Plateau (TP), with notable impacts observed in both the western Himalayas and southeastern TP. Remarkably, over the past two decades, the rate of glacier mass loss has remained stable or even declined in the western Himalayas, whereas a contrasting trend of acceleration has been evident in the southeastern TP. Among various factors considered, the contrasting winter precipitation pattern across the Himalayas–southeastern TP stands out as an important contributor to the observed differences in glacier mass balances. However, the underlying mechanisms behind this phenomenon remain unclear. Here, we provide evidence of a noticeable shift in the climate regime due to anthropogenic warming, altering atmospheric circulation patterns. This, in turn, has led to a significant change in the dominant winter precipitation pattern, favoring the observed contrasting glacier mass balances trend in winter. Additionally, the Barents–Kara Sea ice has emerged as a plausible driver of the interannual variability of the contrasting precipitation pattern, acting by exerting force on the atmosphere and stimulating the Rossby wave propagation. Consequently, it led to the opposite vertical motion and alterations in the moisture budget between the western Himalayas and southeastern TP. Thus, it is crucial to consider the unprecedented anthropogenic warming and Arctic Sea ice variations as potential drivers shaping both past and future glacier behaviors within this domain.

Precipitation Patterns and Their Role in Modulating Nitrous Oxide Emissions from Arid Desert Soil

Nitrous oxide (N2O) ranks as the third most significant greenhouse gas, capable of depleting the ozone layer and posing threats to terrestrial ecosystems. Climate change alters precipitation variability, notably in terms of frequency and magnitude. However, the implications of precipitation variability on N2O emissions and the underlying mechanisms remain inadequately understood. In this study, employing laboratory incubation methods on three representative sandy soil types (sandy soil, shrub soil, and crust soil), we examined the impacts of diverse precipitation levels (5 mm and 10 mm) and frequencies (7 days and 14 days) on N2O emissions from these soil types. This study aims to clarify the complex connections between soil N2O emission fluxes and soil physicochemical properties in the soil environment. Our findings reveal that the N2O emission flux exhibits heightened responsiveness to 5 mm precipitation events and a 14-day precipitation frequency, and compared to other treatments, the 5 mm precipitation and 14-day precipitation frequency treatment resulted in a 20% increase in cumulative nitrous oxide emissions. Consequently, cumulative N2O emissions were notably elevated under the 5 mm precipitation and 14-day precipitation frequency treatments compared to the other experimental conditions. The N2O emission flux in sandy soil displayed a positive correlation with available phosphorus (AP) and a negative correlation with pH, primarily attributed to the exceedingly low AP content in sandy soil. In shrub soil, the soil N2O emission flux exhibited a significant positive correlation with NH4+-N and a negative correlation with NO3−-N. Conversely, no significant correlations were observed between soil N2O emission flux and soil physicochemical properties in crust soil, underscoring the importance of considering plant–soil microbial interactions. Our findings suggest that soil nitrous oxide emissions in arid and semi-arid regions will be particularly responsive to small and frequent rainfall events as precipitation patterns change in the future, primarily due to their soil physicochemical characteristics.

Evaluating Criteria for Symptoms Suggestive of Early Osteoarthritis Over Two Years Post-Anterior Cruciate Ligament Reconstruction: Data From the New Zealand Anterior Cruciate Ligament Registry.

The objectives were to determine the prevalence of meeting criteria for symptoms suggestive of early osteoarthritis (OA) after anterior cruciate ligament reconstruction (ACLR) and to characterize the longitudinal changes in these symptoms during the first two years post-ACLR. We analyzed data from 10,231 patients aged 14 to 40 years in the New Zealand ACL Registry who completed the Knee Injury and Osteoarthritis Outcome Score (KOOS) at 6, 12, and 24 months post-ACLR. Symptoms suggestive of early OA were defined as scoring ≤85% on at least two of four KOOS subscales. Longitudinal patterns of change were categorized as persistent, resolution, new, inconsistent, or no symptoms across the three visits. Prevalence and odds ratios (ORs) of symptoms were compared across visits, sex, and age groups using generalized estimating equations, and longitudinal patterns of symptom change were analyzed using multinomial logistic regression. Prevalence of meeting criteria of symptoms suggestive of early OA was 68% at 6 months, 54% at 12 months, and 46% at 24 months post-ACLR. Longitudinally, 33% had persistent symptoms, 23% had no symptoms, 29% showed symptom resolution, 6% developed new symptoms, and 9% had inconsistent symptoms. Women consistently showed higher odds of symptoms (OR range 1.17-1.52). Older age groups demonstrated higher odds of symptoms, particularly at 6 months (OR range 1.64-2.45). Symptoms suggestive of early OA are highly prevalent within two years post-ACLR, with one third of patients experiencing persistent symptoms. These findings indicate that symptoms are more likely to persist rather than newly develop, emphasizing the importance of early identification and targeted interventions.

Modeling longitudinal change patterns of self-regulation from early to middle childhood: Methodological innovations and individual differences.

Patterns of change in self-regulation from the ages of 2.5 to 12 years were modeled using repeated measures of self-regulation for a sample of 399 African American (n = 180, 45%) and Latinx (n = 219, 55%) children from families experiencing low income. Measures included both direct assessment and parent report. Results confirmed four components of self-regulation: working memory, inhibitory control, complex response inhibition, and set shifting. Furthermore, these components of self-regulation were more differentiated at younger ages but grew increasingly integrated as children developed. During early childhood, Latinx children displayed greater levels of working memory and higher levels of inhibitory control, and African American children displayed greater complex response inhibition and set shifting, but these ethnic differences reversed by early elementary school. By late middle childhood, ethnic differences in self-regulation had virtually disappeared altogether. Few differences by child gender or family poverty status were identified. Recommendations are provided to facilitate the modeling of self-regulation over extended periods of development including (a) utilizing measures that overlap time points, (b) standardizing the measurement scales, and (c) utilizing a flexible latent variable model. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Exploring Putative Kokumi Oligopeptides in Classic Sparkling Wines with a UHPLC-ESI-MS/MS Targeted Protocol.

Some oligopeptides can impart kokumi flavor to foods and beverages, a topic still not addressed in wine. A targeted ultra-high performance liquid-chromatography-mass spectrometry (UHPLC-MS/MS) metabolomics method capable of quantifying both amino acids and oligopeptides in wines was therefore developed and validated, confirming the presence of 50 oligopeptides in wine, most of which had been previously unexplored. In silico screening of the affinity of these oligopeptides to interact with CaSR, the protein necessary to activate kokumi sensations, highlighted 8 dipeptides and 3 tripeptides as putative kokumi compounds. These compounds were ubiquitous in a representative set of Trentodoc classic method sparkling wines, with an average concentration of kokumi oligopeptides of 19.8 mg/L, ranging between 9.1 and 33.3 mg/L. Half of the sparkling wine samples also contained glutamic acid at concentrations equal to or greater than the threshold for the umami taste in wine, namely, 48 mg/L. Sensory tests on the dipeptide Gly-Val confirmed the ability of this novel kokumi compound to significantly modify the perception of complex real wine matrices but not of the simple model one. Preliminary laboratory-scale fermentation tests showed that the oligopeptide profile in wines is linked to the starting grape matrix and that the patterns change by fermenting barley or apple juice with the same yeast.

Exploring mechanisms of gene expression control during Ustilago maydis teliospore germination

Fungal plant pathogens produce spores for survival and dispersion. Developing an understanding of the mechanisms involved in spore dormancy and germination will aid in mitigating the impact of diseases they cause. The thick-walled diploid teliospores of Ustilago maydis were used as a model for studying fungal spore dormancy and germination. These spores develop only in infected maize tissue and can remain dormant for long periods of time. Teliospores germinate under favourable conditions, resume meiosis, and produce basidiospores to initiate new rounds of infection. Previous research identified changing gene transcripts during teliospore germination, but analysis was hampered by asynchronous germination. The more comprehensive RNA-seq analysis of U. maydis teliospore germination presented here aimed to identify gene altered transcript levels detectable above the background of fluctuating changes resulting from asynchronous germination. The analyses identified 18 different patterns of gene transcript level changes. It also indicated that gene expression is controlled at the transcriptional and post-transcriptional levels. Gene ontology term enrichment analyses of these patterns revealed genes that are involved in cell morphogenesis, metabolism, and RNA metabolism.

Regional range extension of two xanthid crab species (Decapoda, Brachyura) to the mid-Sanriku Coast, the coldest waters off Honshu, Japan

Abstract This paper reports the first occurrences of two brachyuran crab species of the family Xanthidae MacLeay, 1838, viz., Actaea semblatae Guinot, 1976 and Gaillardiellus orientalis (Odhner, 1925), from the mid-Sanriku Coast, along the Pacific coast of northeastern Japan. While these records do not represent the northern limit of distribution of these species, they do show a range extension into the coldest waters of Honshu, the main island of Japan, probably due to global warming and changes in flow patterns of the local sea currents.

Family formation and health-related behavior: The case of meal skipping

Using four rounds of nationally representative U.S. panel survey data (NLSY97) and fixed-effects models, this study examines whether and how transitions to marriage/cohabitation/parenthood are associated with gender-specific changes in meal-skipping patterns. Two theoretical perspectives, social control and time scarcity, provide different explanations of how family formation relates to meal skipping. However, empirical research examining the association using a nationally representative sample is scarce. Results indicate that the transitions to romantic relationships (either marriage or cohabitation) are associated with less frequent meal skipping, consistent with social control theory, but in ways that differ by gender. The transition to marriage is associated with reduced meal skipping only for men, whereas the transition to cohabitation is associated with reduced meal skipping to some extent for women. The transition to parenthood has distinctive consequences for women’s meal patterns. Specifically, having two or more children at home is associated with increased meal skipping only for women, which can be explained by the time scarcity perspective. This study reveals that the consequences of family formation on health-related behaviors are gender specific and not universally positive, highlighting women’s persistent role as the primary caregiver for the family.

Temporal dynamics of unmet long-term care needs in China: an age period cohort analysis

Abstract Rapid demographic changes and heavy reliance on informal care pose significant challenges to meeting long-term care (LTC) needs in China. Understanding changes in unmet LTC needs across different times and places can inform future LTC system planning and care resource allocation, identifying emerging care needs and services gaps in different regions. Drawing on data from 6,030 urban and 5,070 rural residents in the Chinese Longitudinal Health Longevity Survey 2005–2017/18, this study investigates variations in unmet LTC needs across different age groups, periods and birth cohorts among Chinese older adults and their place-based rural–urban differences. We applied the age-period-cohort interaction model to disentangle the three temporal processes, and found that, overall, rural older adults experienced higher risk of unmet LTC needs and had larger variation in age effects, yet the age, period and cohort effects on unmet needs among rural older people differed from their urban counterparts. Although ‘younger’ older adults (aged below 85) had fewer care needs than older adults, they had a higher risk of experiencing unmet needs. The risk of having unmet needs did not change significantly over the 12 years, though unmet LTC needs were more pronounced among more-recent cohorts than previous generations, especially in urban areas. The findings contribute to the social gerontology debate regarding changing patterns in unmet LTC needs, and provide crucial policy insights, underscoring the necessity of targeted interventions to address ‘younger’ older adults’ care needs and increased investmed in the formal LTC system to tackle the escalating care gap.

Prehistoric communities in the Bayuda Desert, Sudan

Abstract Large-scale field research is providing extensive data on the prehistoric settlement history of the Bayuda Desert in Sudan. The authors briefly examine notable outputs from the project, including some of the more than 100 radiocarbon dates that permit a more nuanced understanding of the chronology of settlement pattern changes.