Size Range Research Articles

Development of a 10 K automated sample exchange cryostat for SANS_CSNS

The Small-angle Neutron Spectrometer at China Spallation Neutron Source (SANS_CSNS) is a functional apparatus utilized for the examination of structures and inhomogeneities within the size range of 1 to 100 nm. The development of sample environments for in situ experiments at low temperatures at SANS_CSNS is urgent in order to address the increasing demands of users. The CSNS Sample Environment Group has successfully designed and constructed an automated sample exchange cryostat for SANS experiments, capable of operating in a temperature range of 10 ∼ 500 K. This cryostat has been specifically engineered to accommodate up to four samples simultaneously and exchange samples automatically in order to optimize the utilization of neutron beams by minimizing the downtime associated with manual sample handling. The results of simulation and temperature measurement proved that sample temperature could be accurately controlled from 10 K to 500 K through the incorporation of a 4 K GM cryocooler and a heater. Furthermore, neutron scattering studies conducted on SANS_CSNS proved that this cryostat exhibits commendable temperature control capabilities and minimal background interference. This automated sample exchange cryostat will be available to researchers of SANS_CSNS in the following user programs.

Microplastic pollution profile and potential ecological risk of in Aksu Stream (Giresun, Türkiye)

The microplastic (MP) profile in water and sediment samples collected from five stations along Aksu Stream, which serves as a drinking water source for Giresun province, was investigated. The presence and characterization of MPs in the samples were determined using both microscopic and ATR-FTIR spectroscopy techniques. The study revealed 910 items kg-1 of MPs in sediment samples, while 0.65 items L-1 were found in water samples. The dominant color of MPs observed in the study was transparent. The most prevalent size range of MPs was between 0-50 µm, and the dominant shape in the polymer analysis of MPs collected from Aksu Stream was fiber. According to FT-IR analysis results, polyethylene (PE) and polypropylene (PP) were the most abundant MP polimer types detected. When assessing the potential ecological risk of MPs, it was determined that the stream falls into damage and risk categories III (High) and IV (Hazard). This research adds to the expanding body of evidence indicating that microplastic contamination is pervasive in freshwater environments. It is urgent to reduce MP waste generation in order to protect aquatic ecosystems and human health.

A new antshrike (Aves: Thamnophilidae) endemic to the Caatinga and the role of climate oscillations and drainage shift in shaping cryptic diversity of Neotropical seasonal dry forests

AbstractThe Caatinga is the largest patch of Seasonal Dry Tropical Forest in the Neotropics, located in northeastern Brazil and characterized mainly by deciduous vegetation and extreme rainfall seasonality. It has historically been treated as a biologically impoverished domain, but recent studies uncovered new diversification patterns and several new taxa of frogs, mammals, insects, and fishes. Here we employed a dense sampling regime to evaluate whether the São Francisco River (SFR) would have promoted genetic diversification and fixed phenotypic differences and how Quaternary climatic oscillations shaped distribution and population sizes in a Caatinga endemic species, the Silvery‐cheeked Antshrike (Sakesphoroides cristatus). We adopted an integrative approach using multilocus genetic, plumage, vocal data, and ecological niche modelling (ENM) to characterize evolutionary units and niche suitability in past scenarios. We recovered strong genetic structure across the SFR that was congruent with plumage and vocal variation, revealing a yet undescribed species named herein as Sakesphoroides niedeguidonae, sp. nov. (urn:lsid:zoobank.org:act:2B9FC637‐008A‐4E9A‐B92B‐69ED7FE23823s). The splitting time estimated between the newly described species and S. cristatus is consistent with the establishment of the modern course of SFR, with a more recent course shift apparently promoting the secondary contact between the two species in the Raso da Catarina region. After their split, both species experienced increases in population sizes and range sizes at similar times during the Last Glacial Maximum. We expect other Caatinga avian endemic lineages to show similar patterns of genetic differentiation across the SFR that were enhanced by Quaternary climatic oscillations.

Resource manipulation reveals interactive phenotype-dependent foraging in free-ranging lizards.

Recent evidence suggests that individuals differ in foraging tactics and this variation is often linked to an individual's behavioural type (BT). Yet, while foraging typically comprises a series of search and handling steps, empirical investigations have rarely considered BT-dependent effects across multiple stages of the foraging process, particularly in natural settings. In our long-term sleepy lizard (Tiliqua rugosa) study system, individuals exhibit behavioural consistency in boldness (measured as an individual's willingness to approach a novel food item in the presence of a threat) and aggressiveness (measured as an individual's response to an 'attack' by a conspecific dummy). These BTs are only weakly correlated and have previously been shown to have interactive effects on lizard space use and movement, suggesting that they could also affect lizard foraging performance, particularly in their search behaviour for food. To investigate how lizards' BTs affect their foraging process in the wild, we supplemented food in 123 patches across a 120-ha study site with three food abundance treatments (high, low and no-food controls). Patches were replenished twice a week over the species' entire spring activity season and feeding behaviours were quantified with camera traps at these patches. We tracked lizards using GPS to determine their home range (HR) size and repeatedly assayed their aggressiveness and boldness in designated assays. We hypothesised that bolder lizards would be more efficient foragers while aggressive ones would be less attentive to the quality of foraging patches. We found an interactive BT effect on overall foraging performance. Individuals that were both bold and aggressive ate the highest number of food items from the foraging array. Further dissection of the foraging process showed that aggressive lizards in general ate the fewest food items in part because they visited foraging patches less regularly, and because they discriminated less between high and low-quality patches when revisiting them. Bolder lizards, in contrast, ate more tomatoes because they visited foraging patches more regularly, and ate a higher proportion of the available tomatoes at patches during visits. Our study demonstrates that BTs can interact to affect different search and handling components of the foraging process, leading to within-population variation in foraging success. Given that individual differences in foraging and movement will influence social and ecological interactions, our results highlight the potential role of BT's in shaping individual fitness strategies and population dynamics.

Characterization of Microplastics and Adsorbed/Dissolved Polycyclic Aromatic Hydrocarbons in the Biggest River System in Saitama and Tokyo, Japan.

This study presents a comprehensive characterization of microplastics (MPs) and adsorbed/dissolved polycyclic aromatic hydrocarbons (PAHs) in the Arakawa River, the largest river system in Saitama and Tokyo, Japan. The MPs were sampled at various points along the river, revealing an average number density of 2.21 ± 1.48 pieces/m3, with a predominant size range of 0.5-1 mm. Polymer analysis indicated that polyethylene (PE) comprised the highest proportion of MPs (55.9%), followed by polypropylene (PP) (22.4%) and polystyrene (PS) (21.7%). Seasonal fluctuations in MPs concentration were observed, with the highest values in winter and the lowest in summer. An analysis of adsorbed PAHs revealed a median partition coefficient (Kd) value of 3.58 × 104 L/kg for MPs, indicating their affinity for PAHs. Further PAHs analysis revealed that the PAHs with the highest mean values were bicyclic naphthalene, pyrene, and fluoranthene. A comparison with coastal MPs showed differences in PAH composition, with higher proportions of high-ring PAHs observed in coastal samples. The study also investigated the distribution of PAHs in the dissolved and suspended states in the river, finding that similar PAHs were distributed in both states, with the PAHs present in MPs being about 1/10,000 of those in the dissolved and suspended states. The study underscores the importance of the continued monitoring and management of MPs and associated pollutants in river ecosystems.

Unravelling the potential of magnetic nanoparticles: a comprehensive review of design and applications in analytical chemistry.

The study of nanoparticles has emerged as a prominent research field, offering a wide range of applications across various disciplines. With their unique physical and chemical properties within the size range of 1-100 nm, nanoparticles have garnered significant attention. Among them, magnetic nanoparticles (MNPs) exemplify promising super-magnetic characteristics, especially in the 10-20 nm size range, making them ideal for swift responses to applied magnetic fields. In this comprehensive review, we focus on MNPs suitable for analytical purposes. We investigate and classify them based on their analytical applications, synthesis routes, and overall utility, providing a detailed literature summary. By exploring a diverse range of MNPs, this review offers valuable insights into their potential application in various analytical scenarios.

Study on water transfer characteristics and desulfurization effect during the separation of fine low rank lignite in the dry dense medium fluidized bed

Coal is an important support for the development of the national economy. Lignite has high utilization value. This paper utilizes a dry dense medium fluidized bed for separation of low rank high sulfur lignite across the size range of 6–0 mm. The study focuses on the spatial diffusion and transfer characteristics of material moisture in the fluidized bed, systematically analyzes the influence of material moisture on the bed fluidization characteristics and the bed density spatial uniform stability, explores the diffusion and separation characteristics of the material in the bed, and determines the material separation time domain. The experimental results indicate that when t = 60 s, the high concentration area of the whole bed is distributed in the center, and the low concentration area is distributed in the side wall At when t = 360 s, the high concentration area of the upper bed is distributed near the side wall, and the high concentration area of the middle and lower layers are distributed in the center of the bed. At t = 420 s, the high concentration area in the upper layer gradually disappears, and the separation of high and low-density particles is completed in the middle layer, achieving stratification. When the bed layer moisture content is 0.5 % and the air flow is 16.3 cm/s, the bed pressure drop tends to stabilize, and the bed fluidization effect is better, reaching its peak moisture content. The fluctuation in bed layer spatial density distribution is significant, especially in the central area of the upper layer (within the circular area 0 ≤ R ≤ 3 cm), where the density distribution fluctuation is most pronounced, with an average density of 1.67 g/cm3. The fluctuation amplitude of the middle bed density is relatively low, with an average density of 1.65 g/cm3. The fluctuation amplitude of the lower bed density is the smallest, with an average density of 1.53 g/cm3. When t = 0–120 s, the ash content of each layer along the bed height is close to the raw coal, which belongs to the material diffusion distribution time domain. When t = 120–240 s, the material is stratified locally, which belongs to the material initial stratification time domain. When t = 240–420 s, the high and low density particles achieve orderly stratification, which belongs to the material sorting time domain The results show that the clean coal yield was 74.68 %, sulfur content is 0.98 %, ash content is 9.96 %, gangue yield is 25.32 %, sulfur content is 18.69 %, ash content is 58.32 %, Ep is 0.65 g/cm3. The high-precision dry separation of fine grained low rank high sulfur lignite was realized.

Tracing isotopically labeled selenium nanoparticles in plants via single-particle ICP-mass spectrometry

Agronomic biofortification using selenium nanoparticles (SeNPs) shows potential for addressing selenium deficiency but further research on SeNPs-plants interaction is required before it can be effectively used to improve nutritional quality. In this work, single-particle inductively coupled plasma-mass spectrometry (SP-ICP-MS) was used for tracing isotopically labeled SeNPs (82SeNPs) in Oryza sativa L. tissues. For this purpose, SeNPs with natural isotopic abundance and 82SeNPs were synthesized by a chemical method. The NPs characterization by transmission electron microscopy (TEM) confirmed that enriched NPs maintained the basic properties of unlabeled NPs, showing spherical shape, monodispersity, and sizes in the nano-range (82.8 ± 6.6 nm and 73.2 ± 4.4 nm for SeNPs and 82SeNPs, respectively). The use of 82SeNPs resulted in an 11-fold enhancement in the detection power for ICP-MS analysis, accompanied by an improvement in the signal-to-background ratio and a reduction of the size limits of detection from 89.9 to 39.9 nm in SP-ICP-MS analysis. This enabled 82SeNPs to be tracked in O. sativa L. plants cultivated under foliar application of 82SeNPs. Tracing studies combining SP-ICP-MS and TEM-energy-dispersive X-ray spectroscopy data confirmed the uptake of intact 82SeNPs by rice leaves, with most NPs remaining in the leaves and very few particles translocated to shoots and roots. Translocation of Se from leaves to roots and shoots was found to be lower when applied as NPs compared to selenite application. From the size distributions, as obtained by SP-ICP-MS, it can be concluded that a fraction of the 82SeNPs remained within the same size range as that of the applied NP suspension, while other fraction underwent an agglomeration process in the leaves, as confirmed by TEM images. This illustrates the potential of SP-ICP-MS analysis of isotopically enriched 82SeNPs for tracing NPs in the presence of background elements within complex plant matrices, providing important information about the uptake, accumulation, and biotransformation of SeNPs in rice plants.

Adsorption of metals on aged microplastics in intensive mariculture areas: Aggravating the potential ecological risks to marine organisms

Field determination of the metal adsorption capacity of microplastics (MPs) by using a passive sampler had been done in typical subtropical mariculture area in China. The adsorption of eight metals (Fe, Mn, Cu, Zn, As, Pb, Cr and Cd) by five types of MPs (low-density polyethylene, polypropylene, polystyrene, poly(ethylene terephthalate) and poly(vinyl chloride) (PVC) was compared, including metal types, mariculture types (cage and longline culture), metal residue content in ambient environment, polymer types and particle sizes of MPs. The results showed that Cu, Zn, As, Cd, Pb and Cr in the mariculture environment were contaminated compared with the quality criteria. The concentrations of these six metals adsorbed on five MPs increased linearly with those in seawater. More enriched Cu and As in MPs in marine cage culture than in longline culture, due to the obvious endogenous pollution emissions for the artificial diets, fish medicine and disinfectants. Aged PVC with more cracks and pores showed higher metal adsorption capacity than any other polymers. MPs with a smaller size range of 50–74 μm tended to accumulate higher amounts of metals than those with a larger size range of 74–178 μm, consisting with the surface characteristics of MPs. The significant positive relationship between the concentrations of nutrients in seawater and the adsorption amounts of Cu, Zn and As on MPs implies that the eutrophication would promote their pollution. Based on the ecological risk assessment, the occurrence of MPs could aggravate the potential risk of metals to marine organisms in intensive mariculture areas. This is the first time to reveal the impacts of the adsorption of metals on aged MPs on the potential ecological risks of metals to organisms under the realistic environmental condition.

Generation of pore-space images using improved pyramid Wasserstein generative adversarial networks

High-resolution three-dimensional X-ray microscopy can be used to image the pore space of materials. Machine learning algorithms can generate a statistical ensemble of representative images of arbitrary sizes for rock characterization, modeling, and analysis. However, current methods struggle to capture features at different spatial scales observed in many complex rocks which have a wide range of pore size. We use the Improved Pyramid Wasserstein Generative Adversarial Network (IPWGAN) to automatically reproduce multi-scale features in segmented three-dimensional images of porous materials, enabling the reliable generation of large-scale representations of complex porous media. A Laplacian pyramid generator is introduced, which creates pore-space features across a hierarchy of spatial scales. Feature statistics mixing regularization enhances the discriminator’s ability to distinguish between real and generated images by mixing their feature statistics, thereby indirectly enhancing the generator’s ability to capture and reproduce multi-scale pore-space features, leading to increased diversity and realism in the generated images. The method has been tested on five sandstone and carbonate samples. The generated images, which can be of any size – including cm-scale ten-billion-cell images – demonstrate the power of the approach. These images have two-point correlation functions, porosity, permeability, Euler characteristic, curvature, and specific surface area closer to those of the training datasets than existing machine learning techniques. The generated images accurately capture geometric and flow properties, demonstrating a considerable improvement over previously published studies using generative adversarial networks. For instance, the mean relative error in the calculated absolute permeability between the Berea sandstone images generated by IPWGAN and the corresponding real rock images can be reduced by 79%. The work allows representative models of a wide range of porous media to be generated, offering potential benefits in carbon dioxide sequestration, underground hydrogen storage, and enhanced oil recovery.

Elucidating sleep disorders: a comprehensive bioinformatics analysis of functional gene sets and hub genes.

Sleep disorders (SD) are known to have a profound impact on human health and quality of life although their exact pathogenic mechanisms remain poorly understood. The study first accessed SD datasets from the GEO and identified DEGs. These DEGs were then subjected to gene set enrichment analysis. Several advanced techniques, including the RF, SVM-RFE, PPI networks, and LASSO methodologies, were utilized to identify hub genes closely associated with SD. Additionally, the ssGSEA approach was employed to analyze immune cell infiltration and functional gene set scores in SD. DEGs were also scrutinized in relation to miRNA, and the DGIdb database was used to explore potential pharmacological treatments for SD. Furthermore, in an SD murine model, the expression levels of these hub genes were confirmed through RT-qPCR and Western Blot analyses. The findings of the study indicate that DEGs are significantly enriched in functions and pathways related to immune cell activity, stress response, and neural system regulation. The analysis of immunoinfiltration demonstrated a marked elevation in the levels of Activated CD4+ T cells and CD8+ T cells in the SD cohort, accompanied by a notable rise in Central memory CD4 T cells, Central memory CD8 T cells, and Natural killer T cells. Using machine learning algorithms, the study also identified hub genes closely associated with SD, including IPO9, RAP2A, DDX17, MBNL2, PIK3AP1, and ZNF385A. Based on these genes, an SD diagnostic model was constructed and its efficacy validated across multiple datasets. In the SD murine model, the mRNA and protein expressions of these 6 hub genes were found to be consistent with the results of the bioinformatics analysis. In conclusion, this study identified 6 genes closely linked to SD, which may play pivotal roles in neural system development, the immune microenvironment, and inflammatory responses. Additionally, the key gene-based SD diagnostic model constructed in this study, validated on multiple datasets showed a high degree of reliability and accuracy, predicting its wide potential for clinical applications. However, limited by the range of data sources and sample size, this may affect the generalizability of the results.

The Future of Protection: Unleashing the Power of Nanotech against Corrosion

Corrosion and nanomaterials application gives a complete understanding of corrosion, a pervasive and costly problem that affects a variety of industries worldwide. This study investigates the negative effects of corrosion on infrastructure, safety, and product durability by examining its natural processes and various forms. Regardless of their relative effectiveness, intrinsic restrictions typically limit conventional corrosion control techniques. This article aims to investigate the topic of nanomaterials, which are rapidly emerging and have the potential to significantly reduce corrosion. This abstract delves into the fascinating world of nanomaterials, which range in size from 1 to 100 nanometres, and explores their remarkable powers. Nanomaterials offer substantial advancements in corrosion management, such as better coatings, self-healing mechanisms, and even "smart" coatings with sensing capabilities. The article focuses on the potential benefits of employing nanoparticles for corrosion management, drawing on recent research and imaginative applications. Nanotechnology enables the creation of novel solutions like superior barriers, increased durability, self-repairing capabilities, and targeted corrosion avoidance. However, hurdles remain as the abstract investigates the complexities of manufacturing costs, uncertainty about long-term efficiency, potential environmental effects, and scalability problems associated with adding nanomaterials to corrosion control systems. Understanding corrosion and nanomaterial applications provides essential insights into the fundamental mechanics of corrosion, as well as the significant impact of nanotechnology. This abstract aims to encourage academics, engineers, and policymakers to use nanomaterials to address the ongoing problem of corrosion. Its goal is to promote the use of nanomaterials in diverse industries by giving interdisciplinary insights and forward-thinking ideas that improve durability, safety, and sustainability. Corrosion, a relentless degrader of infrastructure and industrial assets, necessitates novel approaches to mitigate its negative impacts. Nanotechnology has lately emerged as a promising frontier in corrosion mitigation, presenting unrivalled opportunities for improved protection and a longer service life. This paper examines the current state of nanotechnology-based corrosion protection, discusses key obstacles and prospects, and makes recommendations for future advances. Nanotechnology's ability to manipulate materials at the atomic and molecular level has transformed the field of corrosion protection. Nanomaterials, which include nanoparticles, nanocomposites, and nanocoatings, have distinct features that make them particularly effective in inhibiting corrosion start-up and propagation. Nanotech-based solutions outperform conventional coatings in terms of adhesion, barrier characteristics, and chemical resistance, thanks to precise engineering and surface modification approaches. Despite tremendous advancements, broad implementation of nanotechnology-based corrosion prevention confronts challenges. Standardisation and regulation are critical for ensuring the safety, reliability, and environmental sustainability of nanomaterials and coatings. Academics, industry, and regulating authorities must work together to provide comprehensive criteria for material synthesis, characterization, and application. Initiatives that promote education and awareness are critical for accelerating the use of nanotechnology in corrosion protection. Training programmes and knowledge-sharing platforms can provide engineers and industry experts with the necessary skills and competence to properly implement nanotech-based solutions. Public communication efforts emphasizing the benefits of nanotechnology in maintaining infrastructure integrity can garner support from stakeholders and governments. The future possibilities for nanotech-based corrosion prevention are very promising. Advances in nanomaterial production techniques provide unparalleled control over material properties, paving the way for the creation of tailored coatings with superior performance characteristics. Integration with other emerging technologies, like artificial intelligence and the Internet of Things (IoT), has the potential to improve corrosion monitoring and management approaches. Furthermore, the creation of self-healing nanoparticles constitutes a significant advancement in corrosion protection. Inspired by biological systems, self-healing nanocomposites can repair corrosion-induced damage on their own, prolonging the service life of infrastructure assets and lowering lifecycle costs. Continued investment in research and development is crucial to realising nanotechnology's full promise for corrosion protection and ushering in a new era of resilience and dependability. Nanotechnology provides transformative corrosion control solutions that have the potential to revolutionise a variety of industrial sectors. By addressing important obstacles and capitalising on emerging opportunities, we can use nanotechnology to protect infrastructure, conserve resources, and assure long-term growth for future generations.

Synthesis of NIR/SWIR Absorbing InSb Nanocrystals Using Indium(I) Halide and Aminostibine Precursors

AbstractColloidal InSb quantum dots (QDs) are a potential alternative to toxic Pb‐ and Hg‐chalcogenide QDs for covering the technologically important near‐infrared/shortwave infrared (NIR/SWIR) spectral range. However, appropriate Sb precursors are scarce and obtaining narrow size distributions is challenging. Tris(dimethylamido)antimony (Sb(NMe2)3) is an appealing choice due to its commercial availability and non‐pyrophoric character but implies the reduction of antimony from the +3 to the required –3 state. In reported works, strong reducing agents such as lithium triethylborohydride are used, which lead to the fast co‐reduction of both Sb3+ and In3+. The downsides of this approach are reproducibility issues and the risk of forming metal nanoparticles due to the different reduction kinetics of Sb3+ and In3+. Here, indium(I) halides are explored as simultaneous indium source and mild reducing agent for the antimony precursor. The wavelength of the excitonic absorption peak of the phase‐pure InSb QDs obtained with this approach can be tuned from 630 to 1890 nm, which corresponds to a size range of ≈2–7 nm. The synthesis can also be conducted in a heat‐up manner, which facilitates the scale‐up and paves the way for the use of InSb QDs in applications such as NIR/SWIR photodetectors, cameras, biological imaging, and telecommunications.

Three-dimensional characterization of particle size, shape, and internal porosity for Apollo 11 and Apollo 14 lunar regolith and JSC-1A lunar regolith soil simulant

Samples of soils collected by the Apollo 11 mission (10084,2036) and the Apollo 14 mission (14163,940) were obtained from the NASA Curation and Analysis Planning Team for Extraterrestrial Materials (CAPTEM) program. The particle size, shape, and internal porosity were characterized in three dimensions (3D) using a combination of X-ray computed tomography (XCT) and mathematical analysis, with various size and shape parameters measured and calculated for each particle. High-resolution scanning electron microscopy (SEM) was used to image the particles that were too small for the two XCT instruments used. Similar characterization was carried out on samples of JSC-1A lunar soil simulant, updating a previous analysis. Approximately 14,000 lunar regolith particles and 128,000 JSC1-A particles, covering a wide range of size and shape, were characterized for this paper and the results stored in a publicly accessible database. This large number of particles enabled, for the first time, statistically valid particle shape distributions to be generated. The 3D shape distributions of the two regoliths and JSC-1A were quantitatively compared and it was found that the way particle shape and porosity depends on particle size was different between regolith and simulant. The measured size distribution of particles in the lunar soils was applied to estimate the relative contributions of different sizes to the ensemble average particle single scattering albedo and phase function. By linking our particle counts to published sieve weight fractions for the lunar samples, we find that ∼80% of the total cross-section area is contributed by particles <20 μm diameter and ∼ 50% by particles <8 μm diameter. The orientation-averaged two-dimensional projected areas of the actual regolith particles were computed so that this estimate was also based on real particle shapes. Such small sizes dominating the total cross-section area suggest that calculations of the elements of the scattering matrix for individual particles may be possible with modest computing capabilities leading to the development of improved models for the quantitative interpretation of remote sensing spectrophotometry and polarimetry. This 3D characterization and database will enable other computational work to be done with real lunar regolith particle shapes, including discrete element method mechanical modeling, packing simulations, further light scattering calculations, dust contamination modeling, and modeling of lunar rover interactions with collected and packed regolith particles.

A microstructure-based constitutive model for creep rate and damage of oxide dispersion strengthened high-entropy alloy

Oxide dispersion strengthened (ODS) high-entropy alloys (HEAs) exhibit a great resistance to creep, which has a great application potential on the nuclear energy field. However, the classical creep model hardly considers the coupling effect of the cutting and Orowan bypassing mechanism as well as severe atomic lattice distortion in ODS HEAs, leading to low prediction accuracy. Here, we propose a dislocation theory-based constitutive model for strength and creep rate considering the climbing mechanism, shearing mechanism, and Orowan bypassing mechanism in ODS HEAs. In addition, the effects of the size and spatial distribution of the oxide particle on creep rate and strength are studied. The creep rate and yield strength obtained from the experiments and developed model are compared to verify the rationality and accuracy. The proposed model has demonstrated a high prediction accuracy, with the creep rate and yield strength achieving levels as high as 98.2 % and 98.1 %, respectively. The incorporation of oxide particles within a specific size range and volume fraction has been proven to significantly improve creep resistance. Interestingly, the fracture time has the potential to exceed 41 years, significantly surpassing that Zr-based alloys under the same conditions. This model would be utilized to predict the creep rate in response to a complex applied stress, offering theoretical guidance for the development of ODS HEAs with superior creep resistance for nuclear reactor cladding materials.

Freshwater discharge drives latitudinal changes of phytoplankton composition on the continental shelf off Chilean Patagonia

A high-resolution survey of distribution, abundance and composition of phytoplankton was carried out for the first time in surface waters of the continental shelf off Chilean Patagonia (41–48°S). An Imaging FlowCytobot was used along the survey track to record phytoplankton in the size range of 10–120 μm during the austral spring of 2018. Phytoplankton community structure was complemented with continuous underway measurements of temperature and salinity, and physicochemical parameters of the water column at 35 oceanographic stations. Our results evidenced two main macrozones with distinctive phytoplankton assemblages delimited latitudinally at ~45°S. The northern macrozone was characterized by higher surface temperature and salinity, Si:N ratio > 1, diatoms of the genera Thalassiosira and Chaetoceros, and dinoflagellates accounting for over 70% of the total abundance. The southern macrozone, with lower surface temperature and salinity and Si:N ratio < 1, was characterized by members of the genera Guinardia, Lauderia and Cerataulina, representing over 60% of the total phytoplankton. These changes were attributable to the strong influence of freshwater at latitudes higher than 45°S and the enhanced discharge of meltwaters from Patagonian icefields in the area of the Taitao Peninsula and the Gulf of Penas (47–-48°S). Fresh and cold waters impacted the water column stratification and the availability of dissolved silicic acid with potential effects on phytoplankton composition and diatom cell silicification and, thus, on carbon exportation. Our estimations of phytoplankton carbon were comparable to those observed in Patagonian fjords and the highly productive upwelling ecosystem of central Chile. We suggest that the continental shelf off Patagonia can contribute significantly to strengthen the biological carbon pump through the synthesis, exportation, and sequestration of phytoplankton-based organic carbon in the southeastern Pacific Ocean.

How Much Radiation Are Women in Saudi Arabia Receiving from Mammography? A Review

This review compiles and assesses data from recent studies on mammographic radiation doses in Saudi Arabia, aiming to evaluate mean glandular dose (MGD) exposure during mammography and its implications in breast cancer risk. The reviewed studies spanned from 2019 to 2023 and included a range of sample sizes and institutional settings, with patients’ ages from 27 to 85 years. Considerations such as the number of mammographic views and compressed breast thickness were examined. The studies reported average MGDs below the National Diagnostic Reference Level set by the Saudi Food and Drug Authority. However, limitations were noted regarding sample size selection and incomplete data on all mammographic projections. Despite these limitations, the findings highlight the need for continued assessment of patient doses to optimize mammography practices and address the absence of quality standardization acts in Saudi Arabia. These insights are critical for governing authorities to ensure that effective patient dose monitoring occurs regularly and that the establishment of minimum quality standards for breast cancer screening is intact.

Initial Experience With an Amplatzer Cribriform Occluder in Patients With Atrial Septal Defects in Pakistan.

Background Due to their delayed onset of symptoms, atrial septal defects (ASDs) are common congenital cardiac defects that are frequently identified in adulthood. In cases of complicated ASD morphology, transcatheter closure employing devices such as the Amplatzer septal occluder (ASO) presents with difficulties. While the Amplatzer cribriform occluder (ACO) has gained popularity as a specialized option, little is known about its initial use or results, especially in older patients. Objective The goal of this study was to describe the early experience with ACO in patients aged 18 to 38 years who had ASDs at a tertiary care hospital in Pakistan, with a focus on the device's efficacy, safety, and viability. Methods A total of six cases with ASD who underwent ASD closure with the ACO were retrospectively reviewed at Lady Reading Hospital-Medical Teaching Institution (LRH-MTI), Peshawar, Pakistan. All the required data were obtained from the hospital management information system (HMIS), including patient demographics, defect features, procedure specifics, complications, and outcomes. Results Of all patients, 83.3% (n=5) were females and 16.7% (n=1) were males, and the mean age of the group was 27.7 ± 7.9 years. The results of echocardiography showed variation, with a mean fenestrated septum size of 22.4 mm (SD ± 5.4) and a range of device sizes between 18 and 35 mm. The ideal access method for device deployment in every situation was the right femoral vein. There were very few complications; in one instance, a residual shunt necessitated replacing the device. During the six-month follow-up, no complications were found, and all patients were discharged without any problems. Conclusion In conclusion, our study indicates that the ACO is a good choice for young adult patients' ASD closure, showing good safety and efficacy. To verify these results and evaluate the long-term functioning of the device, more prospective trials with larger cohorts are required.

Elevational range size of the breeding bird assemblages and its relationships with richness in the Eastern Himalayas

Species range size reflects the underlying niche of species and directly affects the spatial pattern of species richness. However, the exploration of community mean range size has received relatively limited attention compared to the emphasis on species richness patterns. Additionally, few studies have tested how the rescue effect (the proximity of the distribution limits of potentially interacting species) relates to species richness. In this study, we used a two-year dataset of breeding birds along an elevational gradient in the Lebu Valley, Eastern Himalayas of China, aiming to explore (a) the association between the mean elevational range size of bird community and elevation, using three different ways to calculate the mean elevational range size (Stevens' method, midpoint method and specimen method), (b) examine the influence of drivers (including temperature seasonality, precipitation seasonality, net primary productivity, habitat diversity, geometric constraint, and interspecific competition) on the mean elevational range size pattern, and (c) investigate the effect of rescue effect on species richness pattern. Our results showed that the pattern of mean elevational range size and its underlying drivers vary significantly depending on the assessment method used. Using Stevens' method, which were calculated based on species occurrences, we observed a low-plateau pattern in mean elevational range size. In contrast, the midpoint and specimen methods, which calculate based on the species' distributing midpoint and abundance center, respectively, revealed a mid-peak pattern. Besides, our study supports several ecological hypotheses, including the ambient energy hypothesis, mid-domain hypothesis, and interspecific competition hypothesis. Furthermore, we found that geometric constraints and interspecific competition were the most influential predictors of mean elevational range size patterns, irrespective of the calculation method. Additionally, a significantly positive correlation was observed between the overlap of range margins and species richness, suggesting a contribution of the rescue effect to species richness patterns. The significance of the correlation is associated with the definition of species range size boundaries. Remarkably, this correlation becomes significant only when species range margins reach their 43 % threshold; beyond the 78 % range margin, the increase in correlation strength becomes minimal. Moreover, the rescue effect from low-elevation species was significantly more pronounced than that from high-elevation species, resulting in a species richness hump skewed towards lower elevations. Our findings contribute to validating the applicability and limitations of hypotheses related to species distribution, enhancing both theoretical and empirical aspects of research. This provides deeper insights for a more comprehensive and profound understanding of the local dynamics and interactions within the ecosystem.

High-Performance Krawtchouk Polynomials of High Order Based on Multithreading

Orthogonal polynomials and their moments serve as pivotal elements across various fields. Discrete Krawtchouk polynomials (DKraPs) are considered a versatile family of orthogonal polynomials and are widely used in different fields such as probability theory, signal processing, digital communications, and image processing. Various recurrence algorithms have been proposed so far to address the challenge of numerical instability for large values of orders and signal sizes. The computation of DKraP coefficients was typically computed using sequential algorithms, which are computationally extensive for large order values and polynomial sizes. To this end, this paper introduces a computationally efficient solution that utilizes the parallel processing capabilities of modern central processing units (CPUs), namely the availability of multiple cores and multithreading. The proposed multi-threaded implementations for computing DKraP coefficients divide the computations into multiple independent tasks, which are executed concurrently by different threads distributed among the independent cores. This multi-threaded approach has been evaluated across a range of DKraP sizes and various values of polynomial parameters. The results show that the proposed method achieves a significant reduction in computation time. In addition, the proposed method has the added benefit of applying to larger polynomial sizes and a wider range of Krawtchouk polynomial parameters. Furthermore, an accurate and appropriate selection scheme of the recurrence algorithm is introduced. The proposed approach introduced in this paper makes the DKraP coefficient computation an attractive solution for a variety of applications.