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Atmospheric turbulence over the Arctic sea‐ice surface has been understudied due to the lack of observational data. In this study, we focus on the turbulence kinetic energy (TKE) over sea ice and distinguish its two different vertical structures, the "Surface" type and the "Elevated" type, using observations during the Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition (MOSAiC). The "Surface" type has the maximum TKE near the surface (at 2 m), while the "Elevated" type has the maximum TKE at a higher level (6 m). The TKE budget analysis indicates that the "Elevated" type is caused by the increased shear production of TKE at 6 m. In addition, spectral analysis reveals that the contribution to TKE by horizontal large eddies is enhanced in the "Elevated" type. Finally, how the vertical structure of TKE affects the parameterization of turbulent momentum flux is discussed. Plain Language Summary: In recent years, the Arctic near‐surface temperature has increased at a rate that is 3–4 times faster than the global average, which has significant impacts on the global climate. Explaining this phenomenon and predicting future scenarios are urgently needed. Turbulent motions within the Arctic atmospheric boundary layer over the sea‐ice surface play an important role in determining near‐surface temperature variations, but these turbulent motions and their impacts are not thoroughly understood. To enhance our understanding of the turbulent characteristics of the Arctic boundary layer, the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) was conducted in the central Arctic and collected a wealth of data. Based on the MOSAiC observational data, we investigate the vertical structures of turbulence kinetic energy (TKE) in the surface layer and two different vertical structures of TKE are distinguished. We then compare the production of TKE between these two vertical structures. In addition, we evaluate the performance of parameterization schemes for momentum flux under different vertical TKE structures. Key Points: The vertical structures of turbulence kinetic energy (TKE) over the Arctic sea‐ice surface are investigated using MOSAiC dataBudget analysis and spectral analysis are used to analyze TKE vertical structures near the Arctic sea‐ice surfaceThe TKE vertical structures affect the performance of commonly used turbulence parameterizations [ABSTRACT FROM AUTHOR]

This article explores the concept of gender expansiveness. This term refers to a person's self‐identifying as gender fluid, genderqueer, transgender, non‐binary, gender diverse, or gender nonconforming. Young people, including older children and adolescents, increasingly are experimenting with crossing gender lines. This trend can be understood as a sociocultural process for humanizing more terrifying archetypal forms of gender diversity. Using Henderson's (1988) concept of the cultural unconscious, the author posits that current social developments among youth are attempting to bring gender expansiveness more into collective consciousness. This issue has occasioned a strong counterreaction with panicked appeals to upholding traditional gender norms and needing restrictions on gender‐affirming care. Examples from myth, literature and clinical practice help to contextualize the intense emotions aroused by gender diversity. A case example shows how gender fantasies are worked through within an empathic analytic relationship. The author makes an appeal for updating and humanizing older psychological theories that have relied heavily on splits, polarities, and oppositions, all of which are more characteristic of a 20th century way of thinking about the psyche. A potential approach to incorporate gender expansiveness is through a model of the psyche as a mosaic. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Analytical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Anatolian Archaeology is the property of Ataturk University Coordinatorship of Scientific Journals and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The annual co-circulation of two influenza A subtypes, H1N1 and H3N2, viruses in humans poses significant public health threats worldwide. However, the continuous antigenic drift and shift of influenza viruses limited the effectiveness of current seasonal influenza vaccines, necessitating the development of new vaccines against both seasonal and pandemic viruses. One potential solution to this challenge is to improve inactivated vaccines by including multiple T-cell epitopes. In this study, we designed stabilized trimeric recombinant mosaic HA proteins named HAm, which contain the most potential HA T-cell epitopes of seasonal influenza A virus. We further evaluated the antigenicity, hemagglutinin activity, and structural integrity of HAm and compared its immunogenicity and efficacy to a commercial quadrivalent inactivated influenza vaccine (QIV) in mice. Our results demonstrated that the HAm vaccine was able to induce broadly cross-reactive antibodies and T-cell responses against homologous, heterologous, and heterosubtypic influenza-naive mice. Additionally, the HAm antigens outperformed QIV vaccine antigens by eliciting protective antibodies against panels of antigenically drifted influenza vaccine strains from 2009 to 2024 and protecting against ancestral viruses' lethal challenge. These results suggest that the HAm vaccine is a promising potential candidate for future universal seasonal and pandemic influenza vaccine development. [ABSTRACT FROM AUTHOR]

Lineage plasticity in small cell lung carcinoma (SCLC) causes therapeutic difficulties. This study aimed to investigate the pathological findings of plasticity in SCLC, focusing on combined SCLC, and elucidate the involvement of YAP1 and other transcription factors. We analysed 100 surgically resected SCLCs through detailed morphological observations and immunohistochemistry for YAP1 and other transcription factors. Component‐by‐component next‐generation sequencing (n = 15 pairs) and immunohistochemistry (n = 35 pairs) were performed on the combined SCLCs. Compared with pure SCLCs (n = 65), combined SCLCs (n = 35) showed a significantly larger size, higher expression of NEUROD1, and higher frequency of double‐positive transcription factors (p = 0.0009, 0.04, and 0.019, respectively). Notably, 34% of the combined SCLCs showed morphological mosaic patterns with unclear boundaries between the SCLC and its partner. Combined SCLCs not only had unique histotypes as partners but also represented different lineage plasticity within the partner. NEUROD1‐dominant combined SCLCs had a significantly higher proportion of adenocarcinomas as partners, whereas POU2F3‐dominant combined SCLCs had a significantly higher proportion of squamous cell carcinomas as partners (p = 0.006 and p = 0.0006, respectively). YAP1 expression in SCLC components was found in 80% of combined SCLCs and 62% of pure SCLCs, often showing mosaic‐like expression. Among the combined SCLCs with component‐specific analysis, the identical TP53 mutation was found in 10 pairs, and the identical Rb1 abnormality was found in 2 pairs. On immunohistochemistry, the same abnormal p53 pattern was found in 34 pairs, and Rb1 loss was found in 24 pairs. In conclusion, combined SCLC shows a variety of pathological plasticity. Although combined SCLC is more plastic than pure SCLC, pure SCLC is also a phenotypically plastic tumour. The morphological mosaic pattern and YAP1 mosaic‐like expression may represent ongoing lineage plasticity. This study also identified the relationship between transcription factors and partners in combined SCLC. Transcription factors may be involved in differentiating specific cell lineages beyond just 'neuroendocrine'. [ABSTRACT FROM AUTHOR]

Mosaic cancers are composed of two or several genetically different cell populations. Mosaicism has been considered to be rare among solid malignancies, with the exception of the germ cell tumours. Although neuroendocrine foci have been described within adenocarcinomas of the prostate, they have been interpreted as an advanced stage of the disease and the clinical relevance of the histological finding has remained uncertain. In this communication we give a summary on neuroendocrine prostate cancers. We recall the results of a recent single centre cohort of patients with neuroendocrine prostate cancer that showed higher incidence and better prognosis as expected by the literature. We show for the first time histological images of a primary mosaic neuroendocrine/adenocarcinoma of the prostate. A model explaining the development of mosaic cancers in the prostate is presented. Finally, we discuss the phenomenon of mosaicism related to prostate cancer in general.

Статья посвящена исследованию мозаик базилики Рождества Христова в Вифлееме. Построенный в IV веке в эпоху императора Константина Великого храм остается одним из важнейших святилищ христианского мира. На его стенах и в крипте сохранился уникальный ансамбль мозаик, созданных в XII веке в период владычества Латинского королевства в Иерусалиме. В 2015–2019 годах итальянскими специалистами была предпринята масштабная реставрация декорации базилики. Впервые почти за тысячу лет мозаики на стенах храма и росписи на колоннах были расчищены. Это открывает новые возможности для анализа столь выдающегося памятника. В статье использованы различные методы: стилистический, иконографический и историко-культурный. Г. Кюнель убедительно показал, что мозаики были выполнены единовременно, вероятно, с середины 1150-х годов до 1169 года. На основании сохранившихся надписей можно заключить, что в мозаичной декорации базилики участвовали два мастера: монах Ефрем, предположительно, грек и дьякон Василий, сириец. В третьей надписи, ныне утраченной, упоминалось имя Зан, оно могло принадлежать венецианскому художнику. Стиль мозаик в целом ориентирован на византийское искусство третьей четверти XII века. В ансамбле очевидны различия в фигуративной и в аниконической иконографии, а также в стиле разных зон декорации. В нем проявились элементы сиро-палестинского и западноевропейского искусства. Самый факт упоминания имен художников в надписях не типичен для Византии. Детальный стилистический анализ памятника еще предстоит. Пока очевидно, что в декорации принимала участие составная артель из нескольких художников разного происхождения и разной выучки. При этом все мастера преимущественно пользовались византийскими образцами. Вифлеемские мозаики плодотворно рассмотреть и в контексте монументальной живописи Святой Земли и Сицилии XII века.

Admixture is a common biological phenomenon among populations of the same or different species. Identifying admixed tracts within individual genomes can provide valuable information to date admixture events, reconstruct ancestry‐specific demographic histories, or detect adaptive introgression, genetic incompatibilities, as well as regions of the genomes affected by (associative‐) overdominance. Although many local ancestry inference (LAI) methods have been developed in the last decade, their performance was accessed using large reference panels, which are rarely available for non‐model organisms or ancient samples. Moreover, the demographic conditions for which LAI becomes unreliable have not been explicitly outlined. Here, we identify the demographic conditions for which local ancestries can be best estimated using very small reference panels. Furthermore, we compare the performance of two LAI methods (RFMix and MOSAIC) with the performance of a newly developed approach (simpLAI) that can be used even when reference populations consist of single individuals. Based on simulations of various demographic models, we also determine the limits of these LAI tools and propose post‐painting filtering steps to reduce false‐positive rates and improve the precision and accuracy of the inferred admixed tracts. Besides providing a guide for using LAI, our work shows that reasonable inferences can be obtained from a single diploid genome per reference under demographic conditions that are not uncommon among past human groups and non‐model organisms. [ABSTRACT FROM AUTHOR]

The Mediterranean region in Türkiye is noted for the production of cucurbits and other vegetables. As such, the aim of this study was to sample symptomatic cucurbits crops from open fields and greenhouses where there is active cultivation of these crops. Young shoot, leaves, and fruits exhibiting virus-like symptoms (yellowing, mosaic, necrotic) were collected. Out of 968 plant samples collected and tested through RT-PCR and PCR, 949 were discovered to be infected with several viruses. The identified virus diseases included ZYMV, WMV, PRSV, SqMV, CGMV, CYSDV, BPYV, CABYV, ToLCNDV and CMV. In terms of hosts exhibiting a high incidence of virus infections, cucumber (363 samples), squash (277 samples), melon (201 samples), and watermelon (108 samples) emerged as the top four hosts. Additionally, viruses with notable high incidences in the collected samples, as recorded through molecular testing in decreasing order included ZYMV at 28.1%, CYSDV at 15.5%, and WMV at 14.4%. Also, 90% of samples collected from open fields had single or multiple infection. In contrast, 26.4% of samples from greenhouses exhibited mosaic symptoms and 74.6% showed yellowing symptoms. Notably, MNSV and BPYV, were detected in these samples. The samples also exhibiting mixed infections predominantly displayed mosaic symptoms, including mixed infections such as ZYMV with WMV, ZYMV with CMV, CMV with WMV, and CMV with PRSV. In contrast, samples obtained from open fields showed a higher prevalence of yellowing symptoms, such as ToLCNDV with CMV, ToLCNDV with ZYMV, ZYMV with CMV with CYSDV, and ZYMV with CMV with CVYV. [ABSTRACT FROM AUTHOR]

Aqueous extracts from four different American hops varieties (Mosaic, Chinook, Citra, and Centennial) were produced using the Synergy Pure technique, an innovative extraction distillation process developed by Synergy Flavours, a global specialist in the manufacturing of flavors, extracts and essences. This process is able to preserve and maximize the aromatic characteristics without increasing the bitterness of the final product. Therefore, the aim of this work is to identify the volatile and sensory characteristics of these extracts, with the additional aim to assess their suitability for brewing. GC-MS and sensory analyses were carried out on the four different aqueous extracts. The results highlighted the presence of 33 volatile compounds in a quantity that allowed us to identify the characteristics of the varieties under investigation in each extract. Sensory analysis was carried out using the expert sensory profiling technique. The results regarding the olfactory analysis of the extracts allowed us to define the aroma profiles of the four extracts, highlighting their strong correspondence with the characteristic of the varieties under investigation. Finally, the results showed that the aqueous extracts produced using the Synergy Pure extraction technique had a richer aroma profile, highlighting its higher aptitude in beer production. [ABSTRACT FROM AUTHOR]

This article analyses both well-known and unfamiliar paintings, illustrations and mosaics depicting the Ukrainian Donbas region by the Socialist Realist artist Aleksandr Deineka (1899--1969). Having been received, because of his modernism, rather sympathetically in the West, Deineka produced an array of Donbas images that can be employed as a starting point for analysing Soviet imperial ideology in art. The case of Deineka shows the extent of Soviet imperial and colonial strategies in regard to nations that were subjected to Moscow's rule, and that even Deineka, who is considered as a critical Socialist Realist, was one of the most powerful ideologues of Soviet colonial imperialism. [ABSTRACT FROM AUTHOR]

The Undiagnosed Disease Network (UDN) is comprised of clinical and research experts collaborating to diagnose rare disease. The UDN is funded by the National Institutes of Health and includes 12 different clinical sites (About Us, 2022). Here we highlight the success of collaborative efforts within the UDN Clinical Site at Vanderbilt University Medical Center (VUMC) in utilizing a cohort of experts in bioinformatics, structural biology, and genetics specialists in diagnosing rare disease. Our UDN team identified a de novo mosaic CACNA1D variant c.2299T>C in a 5‐year‐old female with a history of global developmental delay, dystonia, dyskinesis, and seizures. Using a collaborative multidisciplinary approach, our VUMC UDN team diagnosed the participant with Primary Aldosteronism, Seizures, and Neurologic abnormalities (PASNA) OMIM: 615474 due to a rare mosaic CACNA1D variant (O'Neill, 2013). Interestingly, this patient was mosaic, a phenotypic trait previously unreported in PASNA cases. This report highlights the importance of a multidisciplinary approach in diagnosing rare disease. [ABSTRACT FROM AUTHOR]

Freezing temperature parameterization significantly impacts the heat balance at sea‐ice bottom and, consequently, the simulated sea‐ice thickness. Here, the single‐column model ICEPACK was used to investigate the impact of the freezing temperature parameterization on the simulated sea‐ice thermodynamic growth during the MOSAiC expedition from October 2019 to September 2020. It is shown that large model errors exist with the standard parameterization and that different formulations for calculating the freezing temperature impact the simulated sea‐ice thickness significantly. Considering the winter mixed layer temperature, a modified parameterization of the freezing point temperature based on Mushy scheme was developed. The mean absolute error (ratio) of simulating sea‐ice thickness for all buoys reduces from 7.4 cm (4.9%) with the "Millero" scheme, which performs the best among the existing schemes in the ICEPACK model, to 4.2 cm (2.9%) with the new developed scheme. Plain Language Summary: The heat transferred from the ocean to the sea‐ice influences the growth and melting of the sea‐ice. Freezing temperature is an essential parameter for calculating the heat transfer. Nevertheless, few studies have attempted to evaluate the impact of different freezing temperature parameterizations on the simulated sea‐ice thermodynamic growth. This study uses observed atmosphere and ocean data to force a single‐column model. Using different methods to calculate the freezing temperature significantly impacts the simulated sea‐ice thickness. After a series of testing and comparisons, we have developed a modified parameterization of freezing temperature that significantly reduces the simulation deviation from the observations. Key Points: Different parameterizations of the freezing temperature significantly influence the simulated sea‐ice thicknessA modified‐Mushy parameterization method is developed for the freezing temperature, significantly improving ice thickness simulation [ABSTRACT FROM AUTHOR]

The planetary boundary layer height (PBLH) is a crucial indicator reflecting the region of the atmosphere characterized by continuous turbulence. Here, we use radiosonde and surface meteorological observations (4–7 times per day, year‐round measurements) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition to derive the PBLH (PBLHMOSAiC), and further evaluate the PBLH from the ERA5 reanalysis (PBLHERA5). Comparisons between PBLHMOSAiC and PBLHERA5 from different perspectives reveal that: (a) The overestimation of PBLHERA5 when the sea ice concentration is >90% is significant with the centered root mean squared error reaching up to 201 m; (b) The difference between the two products is notably pronounced in cold seasons, while it is comparatively diminished in warm seasons; (c) In neutral boundary layers, differences in PBLHERA5 are larger compared with stable and convective boundary layers. In addition, the analysis of error sources indicates that the bias of PBLHERA5 is sensitive to the bias of vertical thermal structure and wind speed profiles in ERA5 data sets in all conditions. Finally, we find a Random Forest model effectively reduces the bias of PBLHERA5 with the index of agreement reaching up to 0.71 in the test data set, while a multiple linear regression demonstrates comparable performance to the Random Forest model. Plain Language Summary: The planetary boundary layer (PBL) is a crucial component in the interactions between the atmosphere and the surface, especially for the shallow PBL in the Arctic. However, the scarcity of observations over the central Arctic limits our understanding of physical characteristics of the Arctic boundary layer, and current research relies heavily on atmospheric reanalysis. This study focuses on evaluating the planetary boundary layer height (PBLH) of ERA5 over the Arctic sea‐ice surface using observations collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. We find the PBLHERA5 is often overestimated, especially with high sea ice concentrations and in cold seasons. Additionally, the PBLHERA5 performs comparatively worse against observations in neutral boundary layers when contrasted with stable and convective boundary layers. Analysis of error sources reveals the PBLHERA5 bias is sensitive to vertical thermal structure and wind speed profiles in ERA5 data sets under all conditions. To rectify the errors in the PBLHERA5, we employ a Random Forest model, significantly improving PBLHERA5's accuracy. Our model‐corrected PBLHERA5 shows strong agreement with observations, providing a more reliable representation of PBLH. This study highly enhances our understanding of the performance of the Arctic atmospheric boundary layer structure in ERA5 data sets. Key Points: The MOSAiC observations are employed to comprehensively assess the ERA5 planetary boundary layer height (PBLH) performance in the ArcticThe bias of the ERA5 PBLH is more sensitive to biases in temperature and wind speed profiles than to biases in specific humidity profileThe random forest model can reduce the ERA5 PBLH bias with the index of agreement reaching up to 0.71 in the test data set [ABSTRACT FROM AUTHOR]

Objective: Recent studies have identified brain somatic variants as a cause of focal epilepsy. These studies relied on resected tissue from epilepsy surgery, which is not available in most patients. The use of trace tissue adherent to depth electrodes used for stereo electroencephalography (EEG) has been proposed as an alternative but is hampered by the low cell quality and contamination by nonbrain cells. Here, we use our improved depth electrode harvesting technique that purifies neuronal nuclei to achieve molecular diagnosis in a patient with focal cortical dysplasia (FCD). Methods: Depth electrode tips were collected, pooled by brain region and seizure onset zone, and nuclei were isolated and sorted using fluorescence‐activated nuclei sorting (FANS). Somatic DNA was amplified from neuronal and astrocyte nuclei using primary template amplification followed by exome sequencing of neuronal DNA from the affected pool, unaffected pool, and saliva. The identified variant was validated using droplet digital polymerase chain reaction (PCR). Results: An 11‐year‐old male with drug‐resistant genetic–structural epilepsy due to left anterior insula FCD had seizures from age 3 years. Stereo EEG confirmed seizure onset in the left anterior insula. The two anterior insula electrodes were combined as the affected pool and three frontal electrodes as the unaffected pool. FANS isolated 140 neuronal nuclei from the affected and 245 neuronal nuclei from the unaffected pool. A novel somatic missense MTOR variant (p.Leu489Met, CADD score 23.7) was identified in the affected neuronal sample. Droplet digital PCR confirmed a mosaic gradient (variant allele frequency =.78% in affected neuronal sample; variant was absent in all other samples). Significance: Our findings confirm that harvesting neuronal DNA from depth electrodes followed by molecular analysis to identify brain somatic variants is feasible. Our novel method represents a significant improvement compared to the previous method by focusing the analysis on high‐quality cells of the cell type of interest. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Academic Social Resources is the property of Journal of Academic Social Resources and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Atmospheric turbulence over the Arctic sea‐ice surface has been understudied due to the lack of observational data. In this study, we focus on the turbulence kinetic energy (TKE) over sea ice and distinguish its two different vertical structures, the “Surface” type and the “Elevated” type, using observations during the Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition (MOSAiC). The “Surface” type has the maximum TKE near the surface (at 2 m), while the “Elevated” type has the maximum TKE at a higher level (6 m). The TKE budget analysis indicates that the “Elevated” type is caused by the increased shear production of TKE at 6 m. In addition, spectral analysis reveals that the contribution to TKE by horizontal large eddies is enhanced in the “Elevated” type. Finally, how the vertical structure of TKE affects the parameterization of turbulent momentum flux is discussed.

Abstract Lineage plasticity in small cell lung carcinoma (SCLC) causes therapeutic difficulties. This study aimed to investigate the pathological findings of plasticity in SCLC, focusing on combined SCLC, and elucidate the involvement of YAP1 and other transcription factors. We analysed 100 surgically resected SCLCs through detailed morphological observations and immunohistochemistry for YAP1 and other transcription factors. Component‐by‐component next‐generation sequencing (n = 15 pairs) and immunohistochemistry (n = 35 pairs) were performed on the combined SCLCs. Compared with pure SCLCs (n = 65), combined SCLCs (n = 35) showed a significantly larger size, higher expression of NEUROD1, and higher frequency of double‐positive transcription factors (p = 0.0009, 0.04, and 0.019, respectively). Notably, 34% of the combined SCLCs showed morphological mosaic patterns with unclear boundaries between the SCLC and its partner. Combined SCLCs not only had unique histotypes as partners but also represented different lineage plasticity within the partner. NEUROD1‐dominant combined SCLCs had a significantly higher proportion of adenocarcinomas as partners, whereas POU2F3‐dominant combined SCLCs had a significantly higher proportion of squamous cell carcinomas as partners (p = 0.006 and p = 0.0006, respectively). YAP1 expression in SCLC components was found in 80% of combined SCLCs and 62% of pure SCLCs, often showing mosaic‐like expression. Among the combined SCLCs with component‐specific analysis, the identical TP53 mutation was found in 10 pairs, and the identical Rb1 abnormality was found in 2 pairs. On immunohistochemistry, the same abnormal p53 pattern was found in 34 pairs, and Rb1 loss was found in 24 pairs. In conclusion, combined SCLC shows a variety of pathological plasticity. Although combined SCLC is more plastic than pure SCLC, pure SCLC is also a phenotypically plastic tumour. The morphological mosaic pattern and YAP1 mosaic‐like expression may represent ongoing lineage plasticity. This study also identified the relationship between transcription factors and partners in combined SCLC. Transcription factors may be involved in differentiating specific cell lineages beyond just ‘neuroendocrine’.

The past decade has seen an explosion in the identification of genetic causes of neurodevelopmental disorders, including Mendelian, de novo, and somatic factors. These discoveries provide opportunities to understand cellular and molecular mechanisms as well as potential gene-gene and gene-environment interactions to support novel therapies. Stem cell-based models, particularly human brain organoids, can capture disease-associated alleles in the context of the human genome, engineered to mirror disease-relevant aspects of cellular complexity and developmental timing. These models have brought key insights into neurodevelopmental disorders as diverse as microcephaly, autism, and focal epilepsy. However, intrinsic organoid-to-organoid variability, low levels of certain brain-resident cell types, and long culture times required to reach maturity can impede progress. Several recent advances incorporate specific morphogen gradients, mixtures of diverse brain cell types, and organoid engraftment into animal models. Together with nonhuman primate organoid comparisons, mechanisms of human neurodevelopmental disorders are emerging.

Abstract This study analyses and compares around 650 years of mosaic mortar production spanning the Roman, late Roman and Umayyad periods, at Gerasa/Jerash in Jordan, offering a better understanding of composition, structural features, and manufacturing processes. It assesses the value of optical and electron microscopy examination of morphological and textural features, pore structure using MIP, and composition studies using EDX, XRD, FTIR, TGA, and Raman spectroscopy. The study indicated high density lime adhesive was used compared to other mortars. Wood was used as a fuel when producing the lime and natural fibres were incorporated when manufacturing mortars. Aggregates were primarily calcitic with a small proportion of silica-based aggregates. Key outcomes of the study conclude that early Roman mortars were of highest quality, which was demonstrated through the careful selection of materials including different stone for lime and tesserae, and differences between layers. Late Roman mortars used the same slaked lime plus fibres and charcoal. Mortars dating from the Umayyad period also had the same higher lime content than late Roman, but higher porosity with fibres and charcoal. In general, the mortars showed slight differences in content and aggregate; different stone for lime and tesserae. The research attests to underlying traditions as well as changes in mortar mixes and methods according to context and time. The resulting data is contextualized within local and regional approaches.

Abstract Background Vascular anomalies caused by somatic (postzygotic) variants are clinically and genetically heterogeneous diseases with overlapping or distinct entities. The genetic knowledge in this field is rapidly growing, and genetic testing is now part of the diagnostic workup alongside the clinical, radiological and histopathological data. Nonetheless, access to genetic testing is still limited, and there is significant heterogeneity across the approaches used by the diagnostic laboratories, with direct consequences on test sensitivity and accuracy. The clinical utility of genetic testing is expected to increase progressively with improved theragnostics, which will be based on information about the efficacy and safety of the emerging drugs and future molecules. The aim of this study was to make recommendations for optimising and guiding the diagnostic genetic testing for somatic variants in patients with vascular malformations. Results Physicians and lab specialists from 11 multidisciplinary European centres for vascular anomalies reviewed the genes identified to date as being involved in non-hereditary vascular malformations, evaluated gene–disease associations, and made recommendations about the technical aspects for identification of low-level mosaicism and variant interpretation. A core list of 24 genes were selected based on the current practices in the participating laboratories, the ISSVA classification and the literature. In total 45 gene–phenotype associations were evaluated: 16 were considered definitive, 16 strong, 3 moderate, 7 limited and 3 with no evidence. Conclusions This work provides a detailed evidence-based view of the gene–disease associations in the field of vascular malformations caused by somatic variants. Knowing both the gene–phenotype relationships and the strength of the associations greatly help laboratories in data interpretation and eventually in the clinical diagnosis. This study reflects the state of knowledge as of mid-2023 and will be regularly updated on the VASCERN-VASCA website (VASCERN-VASCA, https://vascern.eu/groupe/vascular-anomalies/ ).

Background The goal of the Fifth Annual Baylor College of Medicine & DNAnexus Structural Variation Hackathon was to push forward the research on structural variants (SVs) by rapidly developing and deploying open-source software. The event took place in-person and virtually in August 2023, when 49 scientists from 14 countries and 8 U.S. states collaboratively worked on projects to address critical gaps in the field of genomics. The hackathon projects concentrated on developing bioinformatic workflows for the following challenges: RNA transcriptome comparison, simulation of mosaic variations, metagenomics, Mendelian variation, SVs in plant genomics, and assembly vs. mapping SV calling comparisons. Methods As a starting point we used publicly available data from state-of-the-art long- and short-read sequencing technologies. The workflows developed during the hackathon incorporated open-source software, as well as scripts written using Bash and Python. Moreover, we leveraged the advantages of Docker and Snakemake for workflow automation. Results The results of the hackathon consists of six prototype bioinformatic workflows that use open-source software for SV research. We made the workflows scalable and modular for usability and reproducibility. Furthermore, we tested the workflows on example public data to show that the workflows can work. The code and the data produced during the event have been made publicly available on GitHub ( https://github.com/collaborativebioinformatics) to reproduce and built upon in the future. Conclusions The following sections describe the motivation, lessons learned, and software produced by teams during the hackathon. Here, we describe in detail the objectives, value propositions, implementation, and use cases for our workflows. In summary, the article reports the advancements in the development of software for SV detection made during the hackathon.

We give the first example of a mosaic of three combinatorial designs with distinct parameters 2-(13,3,1), 2-(13,4,2), and 2-(13,6,5). Furthermore, we give examples of mosaics of 2-(9,3,2) designs that are not resolvable, thereby answering a question posed by M. Wiese and H. Boche. Finally, we give an example of a mosaic of projective planes of order 3 that cannot be obtained by tiling groups with difference sets.

The mosaic coving at the Grade II* listed Freemasons’ Hall in London is an example of a mosaic on an Art Deco steel-framed building. Microstructural and chemical characterisation of loose mortars and tesserae were undertaken to inform conservation efforts and advise whether a protective coating was needed to prevent further fading of gold gilding. Rigorous testing used optical imaging, scanning electron microscopy, field emission scanning electron microscopy, energy dispersive X-ray analysis, Raman spectroscopy, X-ray diffraction, and thermogravimetric analysis with differential scanning calorimetry. Laboratory evidence demonstrated the glass tesserae were created using traditional techniques. The glass tesserae were soda-lime-silica glass with lead. The gold glass tessera was produced in the ancient Roman style which included a glass cartellina layer, so further protective coating was not needed. Historical records confirmed sheets of mosaic tesserae were prefabricated in Italy. The grout and thin-set mortar were the same low hydraulicity mortar mix, which enabled mosaic tesserae positions to be adjusted as required. The bedding coat mortar was a hydraulic cement mortar that was applied on top of an early example of foamed mortar from 1932. This unique study analyses a traditional style mosaic that was installed during a pivotal point in construction history where foamed mortars and steel framed buildings were introduced. It demonstrates how archival research and laboratory testing of small-sized samples enhance the building’s significance and architectural interest by improving the knowledge of its history. [ABSTRACT FROM AUTHOR]

This study analyses and compares around 650 years of mosaic mortar production spanning the Roman, late Roman and Umayyad periods, at Gerasa/Jerash in Jordan, offering a better understanding of composition, structural features, and manufacturing processes. It assesses the value of optical and electron microscopy examination of morphological and textural features, pore structure using MIP, and composition studies using EDX, XRD, FTIR, TGA, and Raman spectroscopy. The study indicated high density lime adhesive was used compared to other mortars. Wood was used as a fuel when producing the lime and natural fibres were incorporated when manufacturing mortars. Aggregates were primarily calcitic with a small proportion of silica-based aggregates. Key outcomes of the study conclude that early Roman mortars were of highest quality, which was demonstrated through the careful selection of materials including different stone for lime and tesserae, and differences between layers. Late Roman mortars used the same slaked lime plus fibres and charcoal. Mortars dating from the Umayyad period also had the same higher lime content than late Roman, but higher porosity with fibres and charcoal. In general, the mortars showed slight differences in content and aggregate; different stone for lime and tesserae. The research attests to underlying traditions as well as changes in mortar mixes and methods according to context and time. The resulting data is contextualized within local and regional approaches. [ABSTRACT FROM AUTHOR]

Background: Vascular anomalies caused by somatic (postzygotic) variants are clinically and genetically heterogeneous diseases with overlapping or distinct entities. The genetic knowledge in this field is rapidly growing, and genetic testing is now part of the diagnostic workup alongside the clinical, radiological and histopathological data. Nonetheless, access to genetic testing is still limited, and there is significant heterogeneity across the approaches used by the diagnostic laboratories, with direct consequences on test sensitivity and accuracy. The clinical utility of genetic testing is expected to increase progressively with improved theragnostics, which will be based on information about the efficacy and safety of the emerging drugs and future molecules. The aim of this study was to make recommendations for optimising and guiding the diagnostic genetic testing for somatic variants in patients with vascular malformations. Results: Physicians and lab specialists from 11 multidisciplinary European centres for vascular anomalies reviewed the genes identified to date as being involved in non-hereditary vascular malformations, evaluated gene–disease associations, and made recommendations about the technical aspects for identification of low-level mosaicism and variant interpretation. A core list of 24 genes were selected based on the current practices in the participating laboratories, the ISSVA classification and the literature. In total 45 gene–phenotype associations were evaluated: 16 were considered definitive, 16 strong, 3 moderate, 7 limited and 3 with no evidence. Conclusions: This work provides a detailed evidence-based view of the gene–disease associations in the field of vascular malformations caused by somatic variants. Knowing both the gene–phenotype relationships and the strength of the associations greatly help laboratories in data interpretation and eventually in the clinical diagnosis. This study reflects the state of knowledge as of mid-2023 and will be regularly updated on the VASCERN-VASCA website (VASCERN-VASCA, https://vascern.eu/groupe/vascular-anomalies/). [ABSTRACT FROM AUTHOR]

Background: Cornelia de Lange syndrome (CdLS) is a multisystem genetic disorder, and cases caused by variants in the structural maintenance of chromosomes protein 3 (SMC3) gene are uncommon. Here, we report two cases of CdLS associated with novel pathogenic variants in SMC3 from two Chinese families. Methods: Clinical presentations of two patients with CdLS were evaluated, and specimens from the patients and other family members were collected for Trio‐based whole‐exome sequencing. Pyrosequencing, chip‐based digital PCR, minigene splicing assay, and in silico analysis were carried out to elucidate the impact of novel variants. Results: Novel heterozygous variants in SMC3 were identified in each proband. One harbored a novel splicing and mosaic variant (c.2535+1G>A) in SMC3. The mutated allele G>A conversion was approximately 23.1% by digital PCR, which indicated that 46.2% of peripheral blood cells had this variant. Additionally, in vitro minigene splicing analysis validated that the c.2535+1G>A variant led to an exon skipping in messenger RNA splicing. The other carried a heterozygous variant (c.435C>A), which was predicted to be pathogenic as well as significantly altered in local electrical potential. The former showed multiple abnormalities and marked clinical severity, and the latter mainly exhibited a speech developmental disorder and slightly facial anomalies. Conclusion: Both patients were clinically diagnosed with Cornelia de Lange syndrome 3 (CdLS3). The newly identified SMC3 gene variants can expand the understanding of CdLS3 and provide reliable evidence for genetic counseling to the affected family. [ABSTRACT FROM AUTHOR]

In the mosaic creation of multiple high-resolution synthetic aperture radar (SAR) images, achieving an optimal seamline in overlapping areas is crucial for seamless and visually satisfactory results. Many existing seamline generation methods are designed primarily for optical remote sensing images, but due to the differing characteristics of SAR images and optical images, applying these methods directly to SAR images poses challenges in finding the optimal seamline. In response, this paper proposes a segmentation-based optimal seamline generation (SOSG) method for SAR image mosaics. The SOSG method involves a multi-step process. First, SAR image joint segmentation is performed within the overlapping areas. Subsequently, homogeneous areas are identified based on the segmentation results. Following this, a pixel cost matrix is constructed, incorporating homogeneous areas and intensity differences. Finally, the minimum path cost from the starting pixel to the end pixel is computed using the Dijkstra algorithm to determine the optimal path. To assess the feasibility and effectiveness of the proposed method, experiments are conducted using multiple SAR images from the Chinese Gaofen-3 01 satellite as datasets. The experimental results demonstrate that the proposed method yields seamless mosaic images when compared to other methods, while delivering satisfactory outcomes. This indicates the potential of the proposed method in addressing the unique challenges posed by SAR images and enhancing the quality of SAR image mosaics. [ABSTRACT FROM AUTHOR]

Copyright of Jurnal Fitopatologi Indonesia is the property of IPB University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Models struggle to accurately simulate observed sea ice thickness changes, which could be partially due to inadequate representation of thermodynamic processes. We analyzed co‐located winter observations of the Arctic sea ice from the Multidisciplinary Drifting Observatory for the Study of the Arctic Climate for evaluating and improving thermodynamic processes in sea ice models, aiming to enable more accurate predictions of the warming climate system. We model the sea ice and snow heat conduction for observed transects forced by realistic boundary conditions to understand the impact of the non‐resolved meter‐scale snow and sea ice thickness heterogeneity on horizontal heat conduction. Neglecting horizontal processes causes underestimating the conductive heat flux of 10% or more. Furthermore, comparing model results to independent temperature observations reveals a ∼5 K surface temperature overestimation over ice thinner than 1 m, attributed to shortcomings in parameterizing surface turbulent and radiative fluxes rather than the conduction. Assessing the model deficiencies and parameterizing these unresolved processes is required for improved sea ice representation. Plain Language Summary: Numerical sea ice models rely on conceptual simplifications of the sea ice and snow conditions observed in the Arctic and Southern Ocean. In particular, we cannot account for the variations in sea ice thickness and snow depth at the meter scale because we have limited computing capabilities and lack a detailed understanding of the processes defining how the sea ice system evolves. Furthermore, when designing sea ice models, we assume that the heat can flow only vertically, while in reality, this exchange is also horizontal and depends on the local topography. Thanks to observations collected during the Multidisciplinary Drifting Observatory for the Study of Arctic Climate expedition, we can better quantify model errors when using thermodynamic approximations. Our findings suggest that slightly more heat flows through the sea ice system than we can simulate with a simplified sea ice model and that the surface temperature of the model is too warm for thin ice and snow conditions. Learning the nature of these errors is useful because we could formulate corrections for our models, investigate the occurrence of climate feedback mechanisms, and possibly provide more reliable predictions about the current state of the sea ice and its future evolution, which is currently heavily impacted by global warming. Key Points: Multidisciplinary Drifting Observatory for the Study of Arctic Climate observations enable improved thermodynamic process understanding and representation in sea ice modelsResolved meter‐scale ice and snow thickness heterogeneity and horizontal heat conduction enhance conductive heat flux by up to 10% in modelsA positive surface temperature model bias up to 5 K suggests a misrepresentation of the surface energy balance over thin ice [ABSTRACT FROM AUTHOR]

This article compares the safeguarding of monuments and immoveable works of art in Italy in the first years of World War II to the on-site protection undertaken in Ukraine during the Russian invasion and explores whether traditional or more innovative methods are being employed in Ukraine. Both the planning in advance of war and the implementation of protective measures amidst substantial obstacles are considered. The focus is placed on fixed works of art in churches and public statues. Special attention is given to the vulnerability of churches and their ornamentation during war. [ABSTRACT FROM AUTHOR]

The following research deals with Al-Qastal Palace, one of the most important early Islamic structures. It dates specifically to the Umayyad era in Jordan. Its floors are decorated with geometric mosaics, which were revealed during a series of archaeological excavations. These mosaics are characterized by a high level of artistic skill in their execution, particularly as evidenced by the great diversity in their shapes and designs. This study marks a serious attempt to compare the palace's mosaics with their counterpart in Byzantine art as represented at various Byzantine sites, likewise, to show the influence of Byzantine models on Islamic mosaics. Our research suggests that there was a prevalent school of art that was widespread in the region. By comparing the mosaics with relatively nearby sites, we were able to arrive at a comprehensive overview of mosaic production in the region, and determine whether they all belong to a single school of art. A serious attempt is being made to identify the main sources of influence for Qasr al-Qastal, especially those coming from Asia Minor, but also from other places outside the region. [ABSTRACT FROM AUTHOR]

Mosaic valve shows higher pressure gradient after aortic valve replacement compared to other same size labeled prostheses in postoperative echocardiogram. The purpose of this study was to evaluate the mid-term echocardiogram findings and long-term clinical outcomes of patients receiving a 19 mm Mosaic. Forty-six aortic stenosis patients receiving 19 mm Mosaic and 112 patients receiving either 19 mm Magna or Inspiris, who underwent mid-term follow-up echocardiogram were included in the study. Mid-term hemodynamic measurements evaluated by trans-thoracic echocardiogram and long-term outcomes were compared. Patients receiving Mosaic were significantly older (Mosaic: 76 ± 5.1 years vs. Magna/Inspiris: 74 ± 5.5 years, p = 0.046) and had smaller body surface area (Mosaic: 1.40 ± 0.114m2 vs. Magna/Inspiris: 1.48 ± 0.143m2, p < 0.001). There were no significant differences in comorbidities and medications. Post-operative echocardiogram performed at 1 week after the surgery showed higher maximum pressure gradient in patients receiving Mosaic (Mosaic: 38 ± 13.5 mmHg vs. Magna/Inspiris: 31 ± 10.7 mmHg, p = 0.002). Furthermore, mid-term echocardiogram follow-up performed at median duration of 53 ± 14.9 months after the surgery continuously showed higher maximum pressure gradient in patients receiving Mosaic (Mosaic: 45 ± 15.6 mmHg vs. Magna/Inspiris: 32 ± 13.0 mmHg, p < 0.001). However, there were no significant difference in changes in left ventricular mass from baseline in both groups. Kaplan–Meyer curve also showed no difference in long-term mortality and major adverse cardiac and cerebrovascular event between the two groups. Although the pressure gradient across the valve evaluated by echocardiogram was higher in 19 mm Mosaic compared to 19 mm Magna/Inspiris, there were no significant differences in left ventricular remodeling and long-term outcomes between the two groups. [ABSTRACT FROM AUTHOR]

Abstract Freezing temperature parameterization significantly impacts the heat balance at sea‐ice bottom and, consequently, the simulated sea‐ice thickness. Here, the single‐column model ICEPACK was used to investigate the impact of the freezing temperature parameterization on the simulated sea‐ice thermodynamic growth during the MOSAiC expedition from October 2019 to September 2020. It is shown that large model errors exist with the standard parameterization and that different formulations for calculating the freezing temperature impact the simulated sea‐ice thickness significantly. Considering the winter mixed layer temperature, a modified parameterization of the freezing point temperature based on Mushy scheme was developed. The mean absolute error (ratio) of simulating sea‐ice thickness for all buoys reduces from 7.4 cm (4.9%) with the “Millero” scheme, which performs the best among the existing schemes in the ICEPACK model, to 4.2 cm (2.9%) with the new developed scheme.

The excellence of intelligent detection models has been widely recognized, but in terms of cross-domain scenes, they still face performance degradation and low accuracy. A multi-supervised Tri-Flow-YOLO model is proposed to improve the accuracy of objects with various scales under cross-domain conditions. Based on the full-supervised traditional detection branch of YOLOv5, another two mutually supporting task branches are designed intently. In brief, we add unsupervised adversarial classification training flow to the backend, to realize the feature alignment requirements and improve the cross-domain performance stability of the model. Meanwhile, a weakly-supervised object counting flow is proposed to improve the model's attention to all the objects and the detection ability is efficiently enforced. In addition, I-Mosaic and iCIOU are designed especially for small hard objects, enriching the positive samples during the training process. With the auxiliary of both improved strategies, the imbalance of positive and negative samples in the anchor-based model is relieved accordingly. The experimental results show that the improved Tri-Flow-YOLO model achieves 56.0 mAP in the Cityscapes→Foggy-Cityscapes task, and 49.8 mAP in the VOC→Clipart task.

Comparing the Gutenberg Galaxy with what he called the Marconi Constellation (Understanding Media, 1964), Marshall McLuhan discussed “the effects of radio [as being] quite independent of its programming” (that is, “the medium is the message”), noting that electronic media represent “an ever-simultaneous flow which is a very far cry indeed from the one direction, one level flow of the printed page, or of the lecture platform.” Thinking of what he calls “the typographic trance of the West [that] has endured until today” (Playboy interview, 1969), McLuhan prophesized the shift from the visual culture of print to the acoustic culture of the electronic: “[T]he Gutenberg Galaxy is being eclipsed by the constellation of Marconi.” I propose that this concept has its roots in McLuhan’s deep interest in modernism but also that it leaves its imprint on his progressive pedagogy as formulated in “Education in the Electronic Age” (1967, 1970) where he proposes an experiential, collaborative, student-centered, project-based, integrated learning as a way of “the training of [students’] perception.” In this paper, I compare two brief passages, one from T.S. Eliot’s The Waste Land (1922) and the other from McLuhan’s Counterblast (1954) as examples of the progressive heuristic tool of exploration McLuhan called “mosaic” and offered as a tool for the training of readers’/students’ perception. Eliot’s poem offers a paradigm of a modernist experiment in which the reader is invited to inhabit the text’s intervals, learning to read the page which, though visual, aspires to be polyphonic, simultaneous, and (in McLuhan’s terms) acoustic--instead of just visual. The paper therefore argues that McLuhan’s emerging, radical, future-looking, electronic, post-modernist poetics is firmly rooted in the modernist praxis of “making it new” that looks both to its modernist past and the electronic/media/digital future.

Abstract Background Few co-occurrence cases of mosaic aneuploidy and uniparental disomy (UPD) chromosomes have been reported in prenatal periods. It is a big challenge for us to predict fetal clinical outcomes with these chromosome abnormalities because of their highly heterogeneous clinical manifestations and limited phenotype attainable by ultrasound. Methods Amniotic fluid samples were collected from four cases. Karyotype, chromosome microarray analysis, short tandem repeats, and whole exome sequencing were adopted to analyze fetal chromosomal aneuploidy, UPD, and gene variation. Meanwhile, CNVseq analysis proceeded for cultured and uncultured amniocytes in case 2 and case 4 and MS-MLPA for chr11 and chr15 in case 3. Results All four fetuses showed mosaic chromosomal aneuploidy and UPD simultaneously. The results were: Case 1: T2(7%) and UPD(2)mat(12%). Case 2: T15(60%) and UPD(15)mat(40%). Case 3: 45,X(13%) and genome-wide paternal UPD(20%). Case 4: 90% UPD(20)mat in uncultured amniocyte. By analyzing their formation mechanism of mosaic chromosomal aneuploidy and UPD, at least two adverse genetic events happened during their meiosis and mitosis. The fetus of case 1 presented a benign with a normal intrauterine phenotype, consistent with a low proportion of trisomy cells. However, the other three fetuses had adverse pregnancy outcomes, resulting from the UPD chromosomes with imprinted regions involved or a higher level of mosaic aneuploidy. Conclusion UPD is often present with mosaic aneuploidy. It is necessary to analyze them simultaneously using a whole battery of analyses for these cases when their chromosomes with imprinted regions are involved or known carriers of a recessive allele. Fetal clinical outcomes were related to the affected chromosomes aneuploidy and UPD, mosaic levels and tissues, methylation status, and homozygous variation of recessive genes on the UPD chromosome. Genetic counseling for pregnant women with such fetuses is crucial to make informed choices.

The annual co-circulation of two influenza A subtypes, H1N1 and H3N2, viruses in humans poses significant public health threats worldwide. However, the continuous antigenic drift and shift of influenza viruses limited the effectiveness of current seasonal influenza vaccines, necessitating the development of new vaccines against both seasonal and pandemic viruses. One potential solution to this challenge is to improve inactivated vaccines by including multiple T-cell epitopes. In this study, we designed stabilized trimeric recombinant mosaic HA proteins named HAm, which contain the most potential HA T-cell epitopes of seasonal influenza A virus. We further evaluated the antigenicity, hemagglutinin activity, and structural integrity of HAm and compared its immunogenicity and efficacy to a commercial quadrivalent inactivated influenza vaccine (QIV) in mice. Our results demonstrated that the HAm vaccine was able to induce broadly cross-reactive antibodies and T-cell responses against homologous, heterologous, and heterosubtypic influenza-naive mice. Additionally, the HAm antigens outperformed QIV vaccine antigens by eliciting protective antibodies against panels of antigenically drifted influenza vaccine strains from 2009 to 2024 and protecting against ancestral viruses’ lethal challenge. These results suggest that the HAm vaccine is a promising potential candidate for future universal seasonal and pandemic influenza vaccine development.

The effects of atmospheric thermal structure on the surface energy flux are poorly understood over the Arctic sea‐ice surface. Here, we explore the mechanism of sensible heat exchange under different types of thermal structures over the Arctic sea‐ice surface by using data collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition. The quadrant analysis indicates that strong surface temperature inversions below 100 m enhance non‐local effects on the positive (upward) sensible heat flux (w′θ′‾ $\overline{{w}^{\prime }{\theta }^{\prime }}$) through entrainment of large eddies from the convective boundary layer aloft. However, strong surface inversions restrict the contributions of large eddies to the negative (downward) w′θ′‾ $\overline{{w}^{\prime }{\theta }^{\prime }}$ due to intensified surface stability. By inspecting the existing parameterization schemes, we found that the European Center for Medium‐Range Weather Forecasts Integrated Forecasting System scheme fails to predict the impacts of non‐local processes on the positive w′θ′‾ $\overline{{w}^{\prime }{\theta }^{\prime }}$, and an adjustment term to correct the bias of parameterized w′θ′‾ $\overline{{w}^{\prime }{\theta }^{\prime }}$ is proposed. Plain Language Summary: Since pre‐industrial times, the increase of Arctic near‐surface air temperature has been 2–3 times larger than the global average, known as the Arctic amplification. The atmospheric physical processes occurring in the boundary layer are essential for understanding the ongoing climate changes because they modulate the surface energy budget over the Arctic. However, scarce observations limit our understanding of surface heat flux exchange in this area. Recently, the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition was conducted in the central Arctic to support the urgent need for understanding and modeling the rapidly changing Arctic atmosphere‐ice‐ocean system. Based on the MOSAiC observations, we investigate the role of non‐local effects on sensible heat flux under different types of atmospheric thermal structures over the Arctic sea‐ice surface. To the best of our knowledge, this study represents the first time that the effects of strong surface inversions on negative and positive sensible heat fluxes over the Arctic sea‐ice surface are found to be opposite. In addition, we propose a method for taking non‐local effects into account, which can be applied in the European Center for Medium‐Range Weather Forecasts Integrated Forecasting System flux parameterization or other numerical models to correct the bias in parameterized positive sensible heat flux. Key Points: The characteristics of thermal structure during the Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition are presentedThe effects of strong surface inversions on the negative and positive sensible heat flux are contrastingWe propose an improved solution to predict the impacts of non‐local processes on the positive sensible heat flux [ABSTRACT FROM AUTHOR]

Currently, massive Synthetic Aperture Radar (SAR) images acquired from numerous SAR satellites have been widely utilized in various fields, and image mosaicking technology provides important support and assistance for these applications. The traditional mosaic method selects specific SAR images that can cover the region of interest (ROI) from redundant data to produce "One Map". However, an SAR image suffers from severe geometric distortion, especially in mountainous areas, which inevitably reduces the utilization of mosaic image. Therefore, a multi-view data-based layover information compensation (MDLIC) method for SAR image mosaic is proposed, aiming to take full advantage of multi-view data to compensate for the missing information in the layover area of the SAR image. This is performed to improve the information content of the mosaic image and realize efficient thematic information extraction and analysis. First, the calculation of the object-space extent of all images and the division of object-space grid are completed on the basis of geometric and radiometric preprocessing. Then, according to the transformation relationship between the object-space and the image-space, the sampling rate image of each image corresponding to the object-space grid is generated, which determines the layover area and the layover degree in each image. Finally, the information compensation strategy is implemented in accordance with the sampling rate image to realize the compensation of the layover information. The feasibility and effectiveness of the MDLIC method are verified by using multiple SAR images from the Chinese Gaofen-3 01 satellite as datasets for experiments. The experimental results indicate that the MDLIC method can obtain mosaic images with richer information compared with the traditional method, while still providing satisfactory results. [ABSTRACT FROM AUTHOR]

Basal cell nevus syndrome (BCNS) is an inherited disorder characterized mainly by the development of basal cell carcinomas (BCCs) at an early age. BCNS is caused by heterozygous small-nucleotide variants (SNVs) and copy-number variants (CNVs) in the Patched1 (PTCH1) gene. Genetic diagnosis may be complicated in mosaic BCNS patients, as accurate SNV and CNV analysis requires high-sensitivity methods due to possible low variant allele frequencies. We compared test outcomes for PTCH1 CNV detection using multiplex ligation-probe amplification (MLPA) and digital droplet PCR (ddPCR) with samples from a BCNS patient heterozygous for a PTCH1 CNV duplication and the patient's father, suspected to have a mosaic form of BCNS. ddPCR detected a significantly increased PTCH1 copy-number ratio in the index patient's blood, and the father's blood and tissues, indicating that the father was postzygotic mosaic and the index patient inherited the CNV from him. MLPA only detected the PTCH1 duplication in the index patient's blood and in hair and saliva from the mosaic father. Our data indicate that ddPCR more accurately detects CNVs, even in low-grade mosaic BCNS patients, which may be missed by MLPA. In general, quantitative ddPCR can be of added value in the genetic diagnosis of mosaic BCNS patients and in estimating the recurrence risk for offspring. [ABSTRACT FROM AUTHOR]

Aquatic ecosystems are crucial in preserving biodiversity, regulating biogeochemical cycles, and sustaining human life; however, their resilience against climate change and anthropogenic stressors remains poorly understood. Recently, unmanned aerial vehicles (UAVs) have become a vital monitoring tool, bridging the gap between satellite imagery and ground-based observations in coastal and marine environments with high spatial resolution. The dynamic nature of water surfaces poses a challenge for photogrammetric techniques due to the absence of fixed reference points. Addressing these issues, this study introduces an innovative, efficient, and accurate workflow for georeferencing and mosaicking that overcomes previous limitations. Using open-source Python libraries, this workflow employs direct georeferencing to produce a georeferenced orthomosaic that integrates multiple UAV captures, and this has been tested in multiple locations worldwide with optical RGB, thermal, and multispectral imagery. The best case achieved a Root Mean Square Error of 4.52 m and a standard deviation of 2.51 m for georeferencing accuracy, thus preserving the UAV's centimeter-scale spatial resolution. This open-source workflow represents a significant advancement in the monitoring of marine and coastal processes, resolving a major limitation facing UAV technology in the remote observation of local-scale phenomena over water surfaces. [ABSTRACT FROM AUTHOR]

Whitefly-transmitted begomoviruses are the major threats to the cultivation of vegetable crops worldwide. Begomoviruses infecting vegetables have a broad host range and are distributed among all continents in which vegetables are grown in open fields and protected structures. In most of cases these begomoviruses are commonly found in mixed infections of more than one virus leading to the emergence of new variants/species which is found to be adapted to different hosts in various geographical regions. Mainly the evolution of begomoviruses occurs through point mutation, intra and interspecies recombination and reassortment. The association of satellite molecules such as beta- and alpha-satellites helps in altering the virulence of the helper begomoviruses. Till date there are about 243 begomovirus species are found to be infecting vegetable crops in the global scenario. Further, these vegetable-infecting begomoviruses exhibited diversity in the phylogenetic analysis. They are clustering based on their number of genomic components (monopartite/bipartite), host they are infecting and their geographical origins. The objective of the review is to present the global scenario of the begomoviruses infecting vegetable crops on the aspects of symptomatology, genome organization, taxonomy, diversity, diagnostics, host range and possible management strategies to combat the virus infection. [ABSTRACT FROM AUTHOR]

This research seeks to assess the effect of different selected feature descriptors on the accuracy of an automatic image registration scheme. Three different feature descriptors were selected based on their peculiar characteristics, and implemented in the process of developing the image registration scheme. These feature descriptors (Modified Harris and Stephens corner detector (MHCD), the Scale Invariant Feature Transform (SIFT) and the Speeded Up Robust Feature (SURF)) were used to automatically extract the conjugate points common to the overlapping image pairs used for the registration. Random Sampling Consensus (RANSAC) algorithm was used to exclude outliers and to fit the matched correspondences, Sum of Absolute Differences (SAD) which is a correlation-based feature matching metric was used for the feature match, while projective transformation function was used for the computation of the transformation matrix (T). The obtained overall result proved that the SURF algorithm outperforms the other two feature descriptors with an accuracy measure of -0.0009 pixels, while SIFT with a cumulative signed distance of 0.0328 pixels also proved to be more accurate than MHCD with a cumulative signed distance of 0.0457 pixels. The findings affirmed the importance of choosing the right feature descriptor in the overall accuracy of an automatic image registration scheme. [ABSTRACT FROM AUTHOR]

Encephalocraniocutaneous lipomatosis (ECCL) is a rare neurocutaneous disorder caused by somatic FGFR1 and KRAS variants. It shares significant phenotypic overlap with several closely related disorders caused by mutations in the RAS‐MAPK pathway (mosaic RASopathies). We report a diagnostically challenging case of ECCL in which next‐generation sequencing of affected tissue identified a pathologic FGFR1 p.K656E variant, thereby establishing a molecular diagnosis. Patients with FGFR1‐associated ECCL carry a risk of developing malignant brain tumors; thus, genetic testing of patients with suspected ECCL has important management implications. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Mosaic Research is the property of Uludag University, Mosaic Research Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)