Establishment and verification of anthropogenic speciated VOCs emission inventory of Central China.

Improving the accuracy of anthropogenic volatile organic compounds (VOCs) emission inventory is crucial for reducing atmospheric pollution and formulating control policy of air pollution. In this study, an anthropogenic speciated VOCs emission inventory was established for Central China represented by Henan Province at a 3 km × 3 km spatial resolution based on the emission factor method. The 2019 VOCs emission in Henan Province was 1003.5 Gg, while industrial process source (33.7%) was the highest emission source, Zhengzhou (17.9%) was the city with highest emission and April and August were the months with the more emissions. High VOCs emission regions were concentrated in downtown areas and industrial parks. Alkanes and aromatic hydrocarbons were the main VOCs contribution groups. The species composition, source contribution and spatial distribution were verified and evaluated through tracer ratio method (TR), Positive Matrix Factorization Model (PMF) and remote sensing inversion (RSI). Results show that both the emission results by emission inventory (EI) (15.7 Gg) and by TR method (13.6 Gg) and source contribution by EI and PMF are familiar. The spatial distribution of HCHO primary emission based on RSI is basically consistent with that of HCHO emission based on EI with a R-value of 0.73. The verification results show that the VOCs emission inventory and speciated emission inventory established in this study are relatively reliable.

Modified hepatic left lateral lobe inversion in laparoscopic proximal gastrectomy: An analysis of 13 cases.

BACKGROUND: In laparoscopic proximal gastrectomy (LPG), the prolapse of the hepatic left lateral lobe near the lesser curvature and esophageal hiatus can obstruct the field of vision and operation. Therefore, it is necessary to retract or obstruct the hepatic left lateral lobe to ensure a clear field of vision. AIM: To investigate the safety and clinical efficacy of the modified hepatic left lateral lobe inversion technique for LPG. METHODS: A retrospective analysis was conducted on the clinical data of 13 consecutive patients with early-stage upper gastric adenocarcinoma or adenocarcinoma of the esophagogastric junction treated with LPG from January to December 2023 at the Department of Gastrointestinal Surgery, Second Affiliated Hospital of Fujian Medical University. The modified hepatic left lateral lobe inversion technique was used to expose the surgical field in all patients, and short-term outcomes were observed. RESULTS: In all 13 patients, the modified hepatic left lateral lobe inversion technique was successful during surgery without the need for re-retraction or alteration of the liver traction method. There were no instances of esophageal hiatus occlusion, eliminating the need for forceps to assist in exposure. There was no occurrence of intraoperative hepatic hemorrhage, hepatic vein injury, or hepatic congestion. No postoperative digestive complications of Clavien-Dindo grade ≥ II occurred within 30 days after surgery, except for a single case of pulmonary infection. Some patients experienced increases in alanine aminotransferase and aspartate aminotransferase levels on the first day after surgery, which significantly decreased by the third day and returned to normal by the seventh day after surgery. CONCLUSION: The modified hepatic left lateral lobe inversion technique has demonstrated satisfactory results, offering advantages in terms of facilitating surgical procedures, reducing surgical trauma, and protecting the liver.

Cerebrospinal fluid flow in small-breed dogs with idiopathic epilepsy observed using time-spatial labeling inversion pulse images: a preliminary study.

Cerebrospinal fluid (CSF) circulation diseases, such as hydrocephalus and syringomyelia, are common in small-breed dogs. In human patients with CSF circulation diseases, time-spatial labeling inversion pulse (time-SLIP) sequence performed to evaluate CSF flow before and after treatment allows visualization of the restoration of CSF movement. However, studies evaluating CSF flow using the time-SLIP method in small-breed dogs are limited. Therefore, the present study aimed to evaluate intracranial CSF flow on time-SLIP images in small-breed dogs with idiopathic epilepsy, as an alternative model to healthy dogs. Time-SLIP images were obtained at two sites: 1) the mesencephalic aqueduct (MA) area (third ventricle, MA, and brain-base subarachnoid space [SAS]) and 2) the craniocervical junction area (fourth ventricle, brainstem, and cervical spinal cord SAS) to allow subsequent evaluation of the rostral and caudal CSF flow using subjective and objective methods. In total, six dogs were included. Caudal flow at the MA and brain-base SAS and rostral flow in the brainstem SAS were subjectively and objectively observed in all and 5/6 dogs, respectively. Objective evaluation revealed that a significantly smaller movement of the CSF, assessed as the absence of CSF flow by subjective evaluation, could be detected in some areas. In small-breed dogs, the MA, brain-base, and brainstem SAS would be appropriate areas for evaluating CSF movement, either in the rostral or caudal flows on time-SLIP images. In areas where CSF movement cannot detected by subjective methods, an objective evaluation should be conducted.

Accelerated 2D radial Look-Locker T1 mapping using a deep learning-based rapid inversion recovery sampling technique.

Efficient abdominal coverage with T1-mapping methods currently available in the clinic is limited by the breath hold period (BHP) and the time needed for T1 recovery. This work develops a T1-mapping framework for efficient abdominal coverage based on rapid T1 recovery curve (T1RC) sampling, slice-selective inversion, optimized slice interleaving, and a convolutional neural network (CNN)-based T1 estimation. The effect of reducing the T1RC sampling was evaluated by comparing T1 estimates from T1RC ranging from 0.63 to 2.0 s with reference T1 values obtained from T1RC = 2.5-5 s. Slice interleaving methodologies were evaluated by comparing the T1 variation in abdominal organs across slices. The repeatability of the proposed framework was demonstrated by performing acquisition on test subjects across imaging sessions. Analysis of in vivo data based on retrospectively shortening the T1RC showed that with the CNN framework, a T1RC = 0.84 s yielded T1 estimates without significant changes in mean T1 (p > 0.05) or significant increase in T1 variability (p > 0.48) compared to the reference. Prospectively acquired data using T1RC = 0.84 s, an optimized slice interleaving scheme, and the CNN framework enabled 21 slices in a 20 s BHP. Analyses across abdominal organs produced T1 values within 2% of the reference. Repeatability experiments yielded Pearson's correlation, repeatability coefficient, and coefficient of variation of 0.99, 2.5%, and 0.12%, respectively. The proposed T1 mapping framework provides full abdominal coverage within a single BHP.

Spectro-environmental factors integrated ensemble learning for urban river network water quality remote sensing.

Remote sensing water quality monitoring technology can effectively supplement the shortcomings of traditional water quality monitoring methods in spatiotemporal dynamic monitoring capabilities. At present, although the spectral feature-based remote sensing water quality inversion models have achieved many successes, there could still be a problem of insufficient generalization ability in monitoring the water quality of complex river networks in large cities. In this paper, we propose a spectro-environmental factors integrated ensemble learning model for urban river network water quality inversion. We analyzed the correlation between water quality parameters, spectral reflectance, and environmental factors based on an in-situ dataset collected in the northern part of Shanghai. Using the Hot Spot Analysis (Getis-Ord Gi*), we found that river network water quality parameters have different patterns in different urban functional zones. Furthermore, daily average temperature, total rainfall within the seven days, and several band combinations were also selected as the environmental and spectral features using factor analysis and Pearson correlation coefficient analysis. After the feature analysis, the spectro-environmental factors integrated ensemble learning model was trained. Compared with the spectral-based machine learning inversion models, the coefficients of determination R2 increased by about 0.50. Our model was also tested in three different test areas within and outside the in-situ sampling areas in Shanghai based on low-altitude multispectral remote sensing images. The R2 results for total phosphorus (TP), ammonia nitrogen (NH3-N), and chemical oxygen demand (COD) within the in-situ sampling areas were 0.52, 0.58, and 0.56 respectively. The mean absolute percentage error (MAPE) results were 53.36%, 63.95%, and 22.46% respectively. After adding the area outside the in-situ sampling areas, the R2 results for TP, NH3-N, and COD were 0.47, 0.47, and 0.53. The MAPE were 49.38%, 74.46%, and 20.49%. Our research provided a new remote sensing water quality inversion method to be utilized in complex urban river networks which exhibited solid accuracy and generalization ability.

Silicone granuloma with intact breast implants: A case report.

Silicone granuloma formation is a potential complication of silicone implant rupture. Breast magnetic resonance imaging (MRI) is a useful diagnostic tool to assess implant integrity and complications; however, there can be overlap in the enhancement pattern of silicone granuloma and malignancy. We present the case of an 85 year old with suspicious axillary masses on clinical exam for which MRI was recommended. MRI demonstrated enhancing masses in the right axilla that were suspicious for malignancy and biopsy was ultimately performed. This case discusses the use of inversion recovery sequences on MRI, as well as ultrasound, to differentiate malignancy from silicone granuloma formation to prevent unnecessary biopsies.

The association between FLAIR vascular hyperintensities and outcomes in patients with border zone infarcts treated with medical therapy may vary with the infarct subtype.

RATIONALE AND OBJECTIVES: Fluid-attenuated inversion recovery vessel hyperintensities (FVHs) reflect the haemodynamic state and may aid in predicting the prognosis of border zone (BZ) infarct patients. This study was to explore the relationship between FVHs and functional outcomes for different BZ infarct subtypes following medical therapy administration. MATERIALS AND METHODS: Consecutive patients with ischemic stroke were retrospectively enrolled and classified into internal BZ (IBZ) infarct, cortical BZ (CBZ) infarct and mixed-type infarct patients. FVHs were quantified using the FVH-Alberta Stroke Program Early CT Score (ASPECTS) system, and the scores were used to divide the patients into low-FVH (0-3) and high-FVH (4-7) groups. The FVH location and the cerebrovascular stenotic degree were recorded. Logistic regression was performed to identify risk factors for poor outcomes (modified Rankin scale score ≥3). RESULTS: A total of 207 BZ infarct patients (IBZ, n = 130; CBZ, n = 52; mixed-type, n = 25) were included. The FVH score was positively correlated with cerebrovascular stenosis (r = 0.332, P < 0.001) in all patients. A high FVH score was associated with poor outcomes in all (OR 2.568, 95% CI (1.147 to 5.753), P = 0.022) and in CBZ infarct patients (OR 9.258, 95% CI 1.113 to 77.035), P = 0.040). FVH-diffusion-weighted imaging (DWI) mismatch was not significantly associated with outcomes in the entire patient group or in any subgroup. CONCLUSIONS: A high FVH score is associated with poor long-term outcomes in patients with CBZ infarcts but not in those with IBZ or mixed-type infarcts.

Watershed regions are more susceptible to tissue microstructural injury in multiple sclerosis.

Histopathologic studies report higher concentrations of multiple sclerosis white matter lesions in watershed areas of the brain, suggesting that areas with relatively lower oxygen levels may be more vulnerable to disease. However, it is unknown at what point in the disease course lesion predilection for watershed territories begins. Accordingly, we studied a cohort of people with newly diagnosed disease and asked whether (1) white matter lesions disproportionally localize to watershed-regions and (2) the degree of microstructural injury in watershed-lesions is more severe. Fifty-four participants, i.e. 38 newly diagnosed people with multiple sclerosis, clinically isolated syndrome or radiologically isolated syndrome, and 16 age- and sex-matched healthy controls underwent brain magnetic resonance imaging. T1-weighted and T2-weighted fluid-attenuated inversion recovery sequences, selective inversion recovery quantitative magnetisation transfer images, and the multi-compartment diffusion imaging with the spherical mean technique were acquired. We computed the macromolecular-to-free pool size ratio, and the apparent axonal volume fraction maps to indirectly estimate myelin and axonal integrity, respectively. We produced a flow territory atlas in each subject's native T2-weighted fluid-attenuated inversion recovery images using a T1-weighted magnetic resonance imaging template in the Montreal Neurological Institute 152 space. Lesion location relative to the watershed, non-watershed and mixed brain vascular territories was annotated. The same process was performed on the T2-weighted fluid-attenuated inversion recovery images of the healthy controls using 294 regions of interest. Generalized linear mixed models for continuous outcomes were used to assess differences in size, pool size ratio and axonal volume fraction between lesions/regions of interests (in healthy controls) situated in different vascular territories. In patients, we assessed 758 T2-lesions and 356 chronic black holes (cBHs). The watershed-territories had higher relative and absolute concentrations of T2-lesions (P≤0.041) and cBHs (P≤0.036) compared to either non-watershed- or mixed-zones. T2-lesions in watershed-areas also had lower pool size ratio relative to T2-lesions in either non-watershed- or mixed-zones (P = 0.039). These results retained significance in the sub-cohort of people without vascular comorbidities and when accounting for periventricular lesions. In healthy controls, axonal volume fraction was higher only in mixed-areas regions of interest compared to non-watershed-ones (P = 0.008). No differences in pool size ratio were seen. We provide in vivo evidence that there is an association between arterial vascularisation of the brain and multiple sclerosis-induced tissue injury as early as the time of disease diagnosis. Our findings underline the importance of oxygen delivery and healthy arterial vascularisation to prevent lesion formation and foster a better outcome in multiple sclerosis.

Reversible sulcal fluid-attenuated inversion recovery hyperintensity after combined bypass surgery for moyamoya disease - A "crevasse" sign.

Background: Transient fluid-attenuated inversion recovery (FLAIR) hyperintensity is often observed on the operated brain surface after direct or combined bypass surgery for moyamoya disease, but its pathophysiology and clinical significance are still obscure. This study was aimed to clarify the underlying mechanism and clinical significance. Methods: This prospective study included 106 hemispheres of 61 patients with moyamoya disease and analyzed their radiological findings before and after combined bypass surgery. This study also included 11 patients who underwent superficial temporal artery to middle cerebral artery anastomosis for occlusive carotid artery diseases as the controls. Magnetic resonance imaging examination was serially repeated, and cerebral blood flow was measured before and after surgery. Signal intensity ratio (SIR) in the cortical sulci and cortex to the adjacent white matter on FLAIR images was calculated, and the postoperative SIR changes were semi-quantitatively evaluated to assess the temporal profile of postoperative FLAIR hyperintensity. Results: Postoperative FLAIR hyperintensity occurred within the cortical sulci on the operated hemispheres in all moyamoya patients but not in patients with occlusive carotid artery diseases. SIR values started to increase immediately after surgery, peaked at about 4-fold at 4-13 days post-surgery, then declined, and recovered to baseline values over 28 days or later. The magnitude of this phenomenon was proportional to the severity of cerebral ischemia but not to postoperative hyperperfusion. Conclusion: Reversible sulcal FLAIR hyperintensity specifically occurs in the operated hemispheres after direct bypass surgery for moyamoya disease. This "crevasse sign" may represent the mixture of the extensive leakage of oxygen and proteins from the pial arteries into the CSF.

Penile Inversion Vaginoplasty: An Evolving Technique.

Penile inversion vaginoplasty (PIV) is the most common surgical technique used in "gender-affirming bottom surgery." During this process, penile tissue is used to create a functional neo-vagina, allowing the individual to experience a more aligned physical manifestation of their "gender" identity. In this technical note, we describe the steps and nuances used by the senior author to ensure reliable aesthetic and functional outcomes, contributing to the overall well-being and satisfaction of transgender patients.

A supergene affects androgen concentrations during early development in a bird with alternative reproductive morphs.

Species with alternative reproductive tactics typically show pronounced phenotypic variation between and within sexes. In some species, this variation culminates in discrete reproductive morphs that are genetically determined, facilitating studies on how genetic variation translates into phenotypic variation. In ruffs (Calidris pugnax), an autosomal inversion polymorphism underlies three reproductive morphs (Independents, Satellites and Faeders), which differ in circulating steroid concentrations in adults. Yet, it remains unknown whether morph differences in steroid concentrations already arise before adulthood. We examined variation in circulating testosterone, androstenedione and progesterone concentrations between morphs and sexes in ruff chicks and juveniles and compared the differences to those in adults. Since measured hormone concentrations only provide momentary states and show high within- and between-individual variation, we took repeated measurements to compare means, variances and skewness between groups. We found clear differences between morphs but not the sexes in early life. Between morphs, androgen concentrations in young ruffs differed in variance and skewness, but not in their means. For testosterone, Independents had a higher variance than Satellites/Faeders, whereas for androstenedione, we observed the opposite pattern. For progesterone, we did not detect clear differences between groups. Skewness values mirrored differences in morph variances. Compared to adults, premature ruffs had lower androgen concentrations. In both life stages, we detected morph-specific associations between androgen concentrations: androstenedione concentrations increased with testosterone concentrations more in Satellites/Faeders than in Independents. These observed morph differences during early life are consistent with a supergene-mediated regulation of androgen variation that underlies the diversification of adult behavioural phenotypes.

Inversion model of soil salinity in alfalfa covered farmland based on sensitive variable selection and machine learning algorithms.

Purpose: Timely and accurate monitoring of soil salinity content (SSC) is essential for precise irrigation management of large-scale farmland. Uncrewed aerial vehicle (UAV) low-altitude remote sensing with high spatial and temporal resolution provides a scientific and effective technical means for SSC monitoring. Many existing soil salinity inversion models have only been tested by a single variable selection method or machine learning algorithm, and the influence of variable selection method combined with machine learning algorithm on the accuracy of soil salinity inversion remain further studied. Methods: Firstly, based on UAV multispectral remote sensing data, by extracting the spectral reflectance of each sampling point to construct 30 spectral indexes, and using the pearson correlation coefficient (PCC), gray relational analysis (GRA), variable projection importance (VIP), and support vector machine-recursive feature elimination (SVM-RFE) to screen spectral index and realize the selection of sensitive variables. Subsequently, screened and unscreened variables as model input independent variables, constructed 20 soil salinity inversion models based on the support vector machine regression (SVM), back propagation neural network (BPNN), extreme learning machine (ELM), and random forest (RF) machine learning algorithms, the aim is to explore the feasibility of different variable selection methods combined with machine learning algorithms in SSC inversion of crop-covered farmland. To evaluate the performance of the soil salinity inversion model, the determination coefficient (R2), root mean square error (RMSE) and performance deviation ratio (RPD) were used to evaluate the model performance, and determined the best variable selection method and soil salinity inversion model by taking alfalfa covered farmland in arid oasis irrigation areas of China as the research object. Results: The variable selection combined with machine learning algorithm can significantly improve the accuracy of remote sensing inversion of soil salinity. The performance of the models has been improved markedly using the four variable selection methods, and the applicability varied among the four methods, the GRA variable selection method is suitable for SVM, BPNN, and ELM modeling, while the PCC method is suitable for RF modeling. The GRA-SVM is the best soil salinity inversion model in alfalfa cover farmland, with Rv 2 of 0.8888, RMSEv of 0.1780, and RPD of 1.8115 based on the model verification dataset, and the spatial distribution map of soil salinity can truly reflect the degree of soil salinization in the study area. Conclusion: Based on our findings, the variable selection combined with machine learning algorithm is an effective method to improve the accuracy of soil salinity remote sensing inversion, which provides a new approach for timely and accurate acquisition of crops covered farmland soil salinity information.

Isolation and Characterization of High-Temperature-Tolerant Mutants of Bradyrhizobium diazoefficiens USDA110 by Carbon-Ion Beam Irradiation.

Biofertilizers are promising technologies for achieving sustainable agriculture. However, high-temperature tolerance is a constraint that limits the function of microbial inoculants. To characterize the genetic changes responsible for the high-temperature tolerance of rhizobia, mutant screening was performed using Bradyrhizobium diazoefficiens USDA110. The wild-type cells were mutagenized with carbon-ion irradiation, and two mutant strains, designated M10 and M14, were obtained after a three-day heat-shock treatment at 43 °C. In particular, M14 showed superior growth at 36 °C, at which temperature growth of the wild type was extremely slow, whereas M14 grew more slowly than the wild type at 32 °C. Whole-genome sequencing revealed that M10 had seven point mutations, whereas M14 had eight point mutations together with a 1.27 Mb inversion. RNA sequencing showed that the number of differentially expressed genes greatly exceeded the actual number of induced mutations. In M14, a gene cluster associated with pyruvate metabolism was markedly downregulated, probably because of disjunction with the promoter region after inversion, and was considered to be the cause of the slow growth rate of M14 at 32 °C. Notably, transmembrane proteins, including porins, were enriched among the genes upregulated in both M10 and M14. M14 was confirmed to retain symbiotic functions with soybeans. These results indicate that high-temperature tolerance was conferred by random mutagenesis while the symbiotic functions of rhizobia was maintained.

Multi-Spectral Radiation Temperature Measurement: A High-Precision Method Based on Inversion Using an Enhanced Particle Swarm Optimization Algorithm with Multiple Strategies.

Multi-spectral temperature measurement technology has been found to have extensive applications in engineering practice. Addressing the challenges posed by unknown emissivity in multi-spectral temperature measurement data processing, this paper adds emissivity constraints to the objective function. It proposes a multi-spectral radiation temperature measurement data processing model realized through a particle swarm optimization algorithm improved based on multiple strategies. This paper simulates six material models with distinct emissivity trends. The simulation results indicate that the algorithm calculates an average relative temperature error of less than 0.3%, with an average computation time of merely 0.24 s. When applied to the temperature testing of silicon carbide and tungsten, experimental data further confirmed its accuracy: the absolute temperature error for silicon carbide (tungsten) is less than 4 K (7 K), and the average relative error is below 0.4% (0.3%), while two materials maintain an average computation time of 0.33 s. In summary, the improved particle swarm optimization algorithm demonstrates strong performance and high accuracy in multi-spectral radiation thermometry, making it a feasible solution for addressing multi-spectral temperature measurement challenges in practical engineering applications. Additionally, it can be extended to other multi-spectral systems.

A right ventricular bulge: A clinical dilemma in diagnosis.

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited disease characterized by progressive fibrofatty tissue replacement of the myocardium. Asymptomatic individuals can often present for the first time with acute cardiac symptoms, such as syncope and ventricular arrhythmias or sudden cardiac death (SCD), which can occur in young and athletic populations. In the field of inherited cardiomyopathies, ARVC is one of the most challenging to diagnose due to its variable expressivity, incomplete penetrance, and lack of specific, unique diagnostic criteria. Without additional clinical findings or context, current imaging modalities are unable to definitively distinguish ARVC from other disease entities. Right ventricular (RV) structural changes can lead to prominent ARVC features. An important component of the 2010 revised task force criteria (TFC) is the assessment of RV wall motion contraction by echocardiography; however, this can be difficult to assess. This case report explores the diagnostic criteria used for ARVC and the role of RV wall motion contraction in the diagnosis.

AB012. A phase III randomized trial of gross total resection versus possible resection of fluid-attenuated inversion recovery (FLAIR) hyperintensity lesion on magnetic resonance image for newly diagnosed supratentorial glioblastoma (JCOG2209).

BACKGROUND: Complete resection of contrast-enhanced lesions [gross total resection (GTR)] without severe neurological deficits has been generally accepted as the goal of surgery. However, it remains unclear if additional resection of surrounding fluid-attenuated inversion recovery (FLAIR) hyper-intense lesions combined with GTR (FLAIRectomy) has survival advantage of primary glioblastoma patients. Multicenter, open-label, randomized phase III trial was commenced to confirm the superiority of FLAIRectomy to GTR alone followed by radiotherapy with concomitant and adjuvant temozolomide in terms of overall survival (OS) for primary glioblastoma IDH-wildtype patients. This trial investigates not only survival but also postoperative neurological and neurocognitive deficits in detail. METHODS: We assumed a 2-year OS of 50% in the GTR arm and expected a 15% improvement in the FLAIRectomy arm. A total of 130 patients is required with a one-sided alpha of 5%, power of 70%, and will be accrued from 49 Japanese institutions in 4 years and follow-up will last 2.5 years. Patients aged 18-75 years will be registered and randomly assigned to each arm with 1:1 allocation. The primary endpoint is OS, and the secondary endpoints are progression-free survival, frequency of adverse events, proportion of Karnofsky performance status preservation, proportion of National Institutes of Health stroke scale preservation, proportion of mini-mental state examination preservation and proportion of health-related quality of life preservation. The Japan Clinical Oncology Group Protocol Review Committee approved this study protocol in May 2023. Ethics approval was granted by the National Cancer Center Hospital Certified Review Board. Patient enrollment began in July 2023. RESULTS: If FLAIRectomy is superior to GTR alone, aggressive surgery will become a standard surgical treatment for glioblastoma with resectable contrast-enhanced lesion. CONCLUSIONS: Registry number: jRCT1031230245. Date of registration: 19/July/2023. Date of first participant enrollment: 28/July/2023.

AB084. T2-fluid-attenuated inversion recovery (T2-FLAIR) mismatch as predictive MRI findings of diffuse astrocytoma: a case report.

BACKGROUND: Diffuse astrocytomas are a subtype of astrocytic tumors classified as World Health Organization (WHO) grade II tumors. Magnetic resonance imaging is a useful diagnostic tool for assessing diffuse astrocytomas. However, their growth pattern resembles other low-grade gliomas, such as oligodendroglioma. The potential magnetic resonance imaging (MRI) feature, T2-fluid-attenuated inversion recovery (T2-FLAIR) mismatch, may be predictive in identifying diffuse astrocytomas. This involves a hyperintense signal in T2-weighted and a hypointense signal in T2-FLAIR, which oligodendroglioma does not exhibit. CASE DESCRIPTION: A 30-year-old female seeks medical advice regarding her complaint of persistent headaches. The clinical findings suggested an anaplastic oligodendroglioma, and an MRI examination was requested to confirm. At first glance, MRI findings showed multiple cystic intratumoral and calcification, which is prone to oligodendroglioma diagnosis. However, a T2-FLAIR mismatch was observed upon closer examination, with a hyperintense signal in T2-weighted imaging and a hypointense signal in T2-FLAIR, potentially leading to diffuse astrocytoma diagnosis. Moreover, the histopathological analysis revealed isocitrate dehydrogenase (IDH)-mutant findings consistent with the characteristics of diffuse astrocytoma. Our findings of the observed T2-FLAIR mismatch were consistent with other reported cases and studies that have indicated the potential predictive value of T2-FLAIR mismatch in identifying diffuse astrocytomas. This case highlights the importance of careful observation and close examination of MRI findings, especially in differentiating between similar low-grade gliomas. The presence of a T2-FLAIR mismatch can aid clinicians in making informed decisions regarding the diagnosis and subsequent treatment plan for patients presenting with symptoms suggestive of astrocytic tumors. CONCLUSIONS: In conclusion, the T2-FLAIR mismatch sign is consistent with being the radiogenomic signature of IDH-mutant diffuse astrocytomas, as seen in our case report.

Relationship between mutations in severe hemophilia A and risk of inhibitor development: A large single-center study.

BACKGROUND: One of the major problems for patients with severe hemophilia A (HA) is the development of neutralizing antibodies against factor VIII. This study aimed to analyze the molecular and clinical profiles of patients with severe HA and to determine if certain genetic variants predispose to inhibitor development in these patients. METHODS: A single-center study was conducted among patients with severe HA between March 20, 2000, and June 31, 2023. Demographic data and laboratory results of patients were collected. The inverse-shifting PCR (IS-PCR) technique was initially used to screen patients for intron 22 and 1 inversions (Inv-22 and Inv-1). RESULTS: A total of 480 patients with severe HA (408 without inhibitors and 72 with inhibitors) were enrolled in this study. The median age of the patients at the time of diagnosis was 6 months (IQR: 3 months to 18 months). Inv-22 was observed in 199 (41.5 %) of the cases. Among those patients who developed inhibitors, 53 (73.6 %) were classified as high-titer and 19 (26.4 %) as low-titer. Inv-22, positive family history of inhibitor formation, and history of intense injections revealed a statistically significant association with the risk of inhibitor development. CONCLUSION: The results of this study confirm the important role of different genetic variants, family history of inhibitor formation, and history of intense injections for the formation of inhibitors in patients with severe HA. This would allow us to stratify the patients which can have important clinical implications, especially in terms of their management and outcome.

Fundamental Patterns of Structural Evolution Revealed by Chromosome-Length Genomes of Cactophilic Drosophila.

A thorough understanding of adaptation and speciation requires model organisms with both a history of ecological and phenotypic study as well as a complete set of genomic resources. In particular, high-quality genome assemblies of ecological model organisms are needed to assess the evolution of genome structure and its role in adaptation and speciation. Here, we generate new genomes of cactophilic Drosophila, a crucial model clade for understanding speciation and ecological adaptation in xeric environments. We generated chromosome-level genome assemblies and complete annotations for seven populations across Drosophila mojavensis, Drosophila arizonae, and Drosophila navojoa. We use these data first to establish the most robust phylogeny for this clade to date, and to assess patterns of molecular evolution across the phylogeny, showing concordance with a priori hypotheses regarding adaptive genes in this system. We then show that structural evolution occurs at constant rate across the phylogeny, varies by chromosome, and is correlated with molecular evolution. These results advance the understanding of the D. mojavensis clade by demonstrating core evolutionary genetic patterns and integrating those patterns to generate new gene-level hypotheses regarding adaptation. Our data are presented in a new public database (cactusflybase.arizona.edu), providing one of the most in-depth resources for the analysis of inter- and intraspecific evolutionary genomic data. Furthermore, we anticipate that the patterns of structural evolution identified here will serve as a baseline for future comparative studies to identify the factors that influence the evolution of genome structure across taxa.

Amphiphilic Nanogels as Versatile Stabilizers for Pickering Emulsions.

Pickering emulsions (PEs) are stabilized by particles at the water/oil interface and exhibit superior long-term stability compared to emulsions with molecular surfactants. Among colloidal stabilizers, nano/microgels facilitate emulsification and can introduce stimuli responsiveness. While increasing their hydrophobicity is connected to phase inversion from oil-in-water (O/W) to water-in-oil (W/O) emulsions, a predictive model to relate this phase inversion to the molecular structure of the nano/microgel network remains missing. Addressing this challenge, we developed a library of amphiphilic nanogels (ANGs) that enable adjusting their hydrophobicity while maintaining similar colloidal structures. This enabled us to systematically investigate the influence of network hydrophobicity on emulsion stabilization. We found that W/O emulsions are preferred with increasing ANG hydrophobicity, oil polarity, and oil/water ratio. For nonpolar oils, increasing emulsification temperature enabled the formation of W/O PEs that are metastable at room temperature. We connected this behavior to interfacial ANG adsorption kinetics and quantified ANG deformation and swelling in both phases via atomic force microscopy. Importantly, we developed a quantitative method to predict phase inversion by the difference in Flory-Huggins parameters between ANGs with water and oil (χwater - χoil). Overall, this study provides crucial structure-property relations to assist the design of nano/microgels for advanced PEs.