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Tropicoporus tropicalis (formerly Phellinus tropicalis) is a saprophytic basidiomycete that has been implicated in refractory mycoses in humans, particularly in patients with chronic granulomatous disease. Despite its clinical significance, T. tropicalis is an under‐recognised cause of eumycetoma, with no prior reports available. We present a case of white grain eumycetoma with associated osteomyelitis of the left foot, caused by T. tropicalis, confirmed through 18S‐ITS1‐5.8S‐ITS2‐28S rRNA gene amplification and sequencing. The patient was treated with itraconazole 200 mg daily, leading to gradual improvement. A review of the literature on T. tropicalis infections in humans reveals its characteristic manifestations, which include osteomyelitis, soft tissue abscesses, pulmonary nodules and keratitis. These infections are locally destructive but have the potential to disseminate. Diagnosis is often delayed and relies on molecular techniques. Amphotericin B combined with an azole appears to be the most effective treatment, often necessitating concurrent surgical drainage. In conclusion, T. tropicalis is a newly recognised pathogen associated with eumycetoma and poses an increased risk of osteomyelitis. Molecular identification, such as sequencing the internal transcribed spacer (ITS) region from cultures or tissue specimens, is crucial for accurate identification of this pathogen. [ABSTRACT FROM AUTHOR]

Antibiotic resistance is a major public health threat, and alternatives to antibiotic therapy are urgently needed. Immunotherapy, particularly the blockade of inhibitory immune checkpoints, is a leading treatment option in cancer and autoimmunity. In this study, we used a murine model of Salmonella Typhimurium infection to investigate whether immune checkpoint blockade could be applied to bacterial infection. We found that the immune checkpoint T‐cell immunoglobulin and ITIM domain (TIGIT) was significantly upregulated on lymphocytes during infection, particularly on CD4+ T cells, drastically limiting their proinflammatory function. Blockade of TIGIT in vivo using monoclonal antibodies was able to enhance immunity and improve bacterial clearance. The efficacy of anti‐TIGIT was dependent on the capacity of the antibody to bind to Fc (fragment crystallizable) receptors, giving important insights into the mechanism of anti‐TIGIT therapy. This research suggests that targeting immune checkpoints, such as TIGIT, has the potential to enhance immune responses toward bacteria and restore antibacterial treatment options in the face of antibiotic resistance. [ABSTRACT FROM AUTHOR]

Dengue is a disease caused by a flavivirus (DENV) and transmitted by the bite of a mosquito, primarily the Aedes aegypti and Aedes albopictus species. Previous studies have demonstrated a relationship between the host gut microbiota and the evolution of dengue. It seems to be a bidirectional relationship, in which the DENV can affect the microbiota by inducing alterations related to intestinal permeability, leading to the release of molecules from microbiota dysbiosis that can influence the evolution of dengue. The role of angiotensin II (Ang II) in the microbiota/dengue relationship is not well understood, but it is known that the renin‐angiotensin system (RAS) is present in the intestinal tract and interacts with the gut microbiota. The possible effect of Ang II on the microbiota/Ang II/dengue relationship can be summarised as follows: the presence of Ang II induced hypertension, the increase in angiotensinogen, chymase, and microRNAs during the disease, the induction of vascular dysfunction, the production of trimethylamine N‐oxide and the brain/microbiota relationship, all of which are elements present in dengue that could be part of the microbiota/Ang II/dengue interactions. These findings suggest the potential use of Ang II synthesis blockers and the use of AT1 receptor antagonists as therapeutic drugs in dengue. [ABSTRACT FROM AUTHOR]

A strategy for a circular economy is to reuse and modify agricultural wastes through green methodologies, which can be employed as high‐value raw materials to produce sustainable materials. Thus, polybutylene adipate terephthalate (PBAT) composites containing plasma (P) and ultrasound/plasma (UP) modified Agave fibers (AF) were prepared by the melt mixing process. The effect of content (10% and 20%) and type of fiber on the processing, structural, mechanical, and water barrier performance of PBAT composites was assessed. FTIR analysis exhibited the presence of O‐Si‐O groups in all composites containing modified AF, indicating the presence of nanometric hexamethyldisiloxane (HMDSO) coating on the fiber surface. The addition of modified AF into PBAT polymer promoted higher torque levels and specific energy during the composites processing, indicating higher matrix‐fiber interactions that hindered the free flow of the polymeric chains. Nevertheless, SEM, DSC, and crystallinity results revealed that PBAT‐AFUP composites exhibited more homogeneous surfaces and ordered structures that promoted higher entanglement between modified fibers and the PBAT matrix and restricted the binding sites for water interaction as changes in tensile modulus (from 90 to 163 MPa) and water contact angle (from 63 to 77°) indicated. These findings show that modified Agave fibers are a sustainable raw material that can be easily processed to produce soft and hydrophobic PBAT‐based composites. Highlights: The fiber type determined the functional performance of the PBAT compositesThe modified fibers increased the entanglement of composite chainsUP‐modified fibers improved the water barrier performance of the PBAT matrix [ABSTRACT FROM AUTHOR]

Background and Purpose: Gastrointestinal tumours overexpress voltage‐gated calcium (CaV3) channels (CaV3.1, 3.2 and 3.3). CaV3 channels regulate cell growth and apoptosis colorectal cancer. Gossypol, a polyphenolic aldehyde found in the cotton plant, has anti‐tumour properties and inhibits CaV3 currents. A systematic study was performed on gossypol blocking mechanism on CaV3 channels and its potential anticancer effects in colon cancer cells, which express CaV3 isoforms. Experimental Approach: Transcripts for CaV3 proteins were analysed in gastrointestinal cancers using public repositories and in human colorectal cancer cell lines HCT116, SW480 and SW620. The gossypol blocking mechanism on CaV3 channels was investigated by combining heterologous expression systems and patch‐clamp experiments. The anti‐tumoural properties of gossypol were estimated by cell proliferation, viability and cell cycle assays. Ca2+ dynamics were evaluated with cytosolic and endoplasmic reticulum (ER) Ca2+ indicators. Key Results: High levels of CaV3 transcripts correlate with poor prognosis in gastrointestinal cancers. Gossypol blockade of CaV3 isoforms is concentration‐ and use‐dependent interacting with the closed, activated and inactivated conformations of CaV3 channels. Gossypol and CaV3 channels down‐regulation inhibit colorectal cancer cell proliferation by arresting cell cycles at the G0/G1 and G2/M phases, respectively. CaV3 channels underlie the vectorial Ca2+ uptake by endoplasmic reticulum in colorectal cancer cells. Conclusion and Implications: Gossypol differentially blocked CaV3 channel and its anticancer activity was correlated with high levels of CaV3.1 and CaV3.2 in colorectal cancer cells. The CaV3 regulates cell proliferation and Ca2+ dynamics in colorectal cancer cells. Understanding this blocking mechanism maybe improve cancer therapies. [ABSTRACT FROM AUTHOR]

This article reports on two cases of testicular sclerosing stromal tumors (SSTs) that show GLI1 gene alterations. SSTs are neoplasms that were first described in the ovary in 1973 and are characterized by lobulated microscopic appearance. The patients in these cases were aged 35 and 65 years and presented with testicular masses. The tumors demonstrated large areas of hypocellular myxoid/oedematous stroma with scattered hypercellular areas. Both tumors expressed nuclear GLI1. The article suggests that these findings support the existence of rare SSTs in the testis and their potential pathogenesis related to ovarian SSTs. [Extracted from the article]

Spanish is the second most common language among US children aged 5–17, with 26.8% speaking it at home. To foster cultural understanding and promote positive relationships, it's crucial to introduce young children to different languages and cultures. Preschool language education can cultivate respect and empathy, building more inclusive communities. Culturally responsive education equips children with skills to value diversity, creating a harmonious cultural climate. This article highlights the importance of learning another language (e.g., Spanish) and introduces Language Learning Circles (LCC) for preschoolers. Research indicates ages 3–6 are optimal for language acquisition, emphasizing the need for early exposure to enhance learning, and cultural appreciation. [ABSTRACT FROM AUTHOR]

Field‐collected specimens were used to obtain nine high‐quality genome assemblies from a total of 10 insect species native to prairies and savannas of central Illinois (USA): Mellilla xanthometata (Lepidoptera: Geometridae), Stenolophus ochropezus (Coleoptera: Carabidae), Forcipata loca (Hemiptera: Cicadellidae), Coelinius sp. (Hymenoptera: Braconidae), Thaumatomyia glabra (Diptera: Chloropidae), Brachynemurus abdominalus (Neuroptera: Myrmeleontidae), Catonia carolina (Hemiptera: Achilidae), Oncometopia orbona (Hemiptera: Cicadellidae), Flexamia atlantica (Hemiptera: Cicadellidae) and Stictocephala bisonia (Hemiptera: Membracidae). Sequencing library preparation from single specimens was successful despite extremely small DNA yields (<0.1 μg) for some samples. Additional sequencing and assembly workflows were adapted to each sample depending on the initial DNA yield. PacBio circular consensus (CCS/HiFi) or continuous long reads (CLR) libraries were used to sequence DNA fragments up to 50 kb in length, with Illumina sequenced linked‐reads (TellSeq libraries) and Omni‐C libraries used for scaffolding and gap‐filling. Assembled genome sizes ranged from 135 MB to 3.2 GB. The number of assembled scaffolds ranged from 47 to >13,000, with the longest scaffold per assembly ranging from ~23 to 439 Mb. Genome completeness was high, with BUSCO scores ranging from 85.5% completeness for the largest genome (Stictocephala bisonia) to 98.8% completeness for the smallest genome (Coelinius sp.). The unique content was estimated using RepeatMasker and GenomeScope2, which ranged from 50.7% to 75.8% and roughly decreased with increasing genome size. Structural annotation predicted a range of 19,281–72,469 protein models for sequenced species. Sequencing costs per genome at the time ranged from US$3–5k, averaged ~1600 CPU‐hours on a high‐performance cluster and required approximately 14 h of bioinformatics analyses with samples using PacBio HiFi data. Most assemblies would benefit from further manual curation to correct possible scaffold misjoins and translocations suggested by off‐diagonal or depleted signals in Omni‐C contact maps. [ABSTRACT FROM AUTHOR]

Background Purpose Methods Results Conclusion The Joint AAPM‐ESTRO TG‐360 is developing a quantitative framework to evaluate treatment verification systems used for patient‐specific quality assurance (PSQA). A subgroup was commissioned to determine which potential failure modes had the greatest risk to treatment quality and safety, and therefore should be evaluated as part of the PSQA verification.To create an extensive database of potential radiotherapy failure modes that should be detected by PSQA and to determine their relative importance for maximizing treatment quality.The subgroup consisted of eight physicists from seven countries, including representatives from three international quality assurance groups. We collected error reports from RO‐ILS, SAFRON, AAPM TG publications, and other literature, including international audits. We focused on the subset of failure modes that impact whether the planned dose matches the dose received by the patient. We performed a failure‐mode‐and‐effects analysis (FMEA), estimating the severity (S), occurrence (O), and detectability (D) of each failure mode. Detectability was scored assuming that PSQA was not done but other routine clinical QA was performed, which allowed us to see the importance of PSQA for detecting each specific failure mode. We analyzed the risk priority number (RPN = O*S*D), O*S, and severity rankings to determine the priority of each failure mode.We collected 394 error reports, which we categorized into 33 failure modes that underwent FMEA. Five failure modes were in the top ranks for both RPN and O*S analysis: four involving treatment planning system (TPS) commissioning and one regarding patient model errors. The highest‐ranking RPN failure modes were: TPS algorithm limitations, TPS commissioning errors [multileaf collimator (MLC) modeling, output factor, percent‐depth‐dose/tissue‐maximum‐ratio (PDD/TMR), off‐axis factor], and patient weight variation. The highest O*S failure modes were similar, with the addition of external patient position variation and incorrect linear accelerator isocenter and cGy/monitor units calibration. RPN and O*S analyses prioritized failure modes that impacted multiple patients with high occurrence and detectability scores, while severity analysis gave higher priority to single‐patient modes with high severity scores. The highest‐ranking severity modes were MLC sequence deletion, collision, and TPS isocenter incorrect.We have developed a list of failure modes critical to be detected during PSQA and ranked them in order of importance. The top failure modes emphasize the importance of utilizing a variety of treatment verification systems for PSQA, from secondary dose calculation through in‐vivo dosimetry, in order to detect all possible errors. For failure modes in the top quartile, PSQA is critical. Without adequate PSQA, these errors may go undetected unless caught by an external audit. This analysis can be useful for optimizing PSQA workflows and for designing evaluations of treatment verification systems, and will be used by the Joint AAPM‐ESTRO TG‐360 to determine an appropriate validation strategy. [ABSTRACT FROM AUTHOR]

Mating between species occurs within many insect orders. The result of heterospecific mating depends upon the effectiveness of pre‐ and post‐reproductive barriers. Incomplete reproductive barriers lead to introgression of DNA into one species or both. Intricate genital morphology among dragonflies provides little assurance of species specificity given that heterospecific mating or mating attempts have been observed among many species. The genetic consequence is unknown for many heterospecific matings. For example, Somatochlora species mating and genetic exchange have been hypothesized based on observational records and individuals with hybrid morphology. We investigate the potential of heterospecific mating between North American Somatochlora species as inferred from multi‐gene phylogenies. We used mitochondrial genes (COI and ND3) and nuclear genes (EF1‐α and ITS2) to construct phylogenies using maximum parsimony. Observation of non‐monophyletic mtDNA lineages but monophyletic nDNA lineages between Somatochlora sister‐species would indicate mtDNA introgression and suggest heterospecific matings. Our results highlighted three instances of non‐monophyly of mtDNA clades in the following groups: (i) S. hineana + S. tenebrosa; (ii) S. kennedyi + S. forcipata + S. franklini; and (iii) S. calverti + S. provocans + S. filosa. Analysis of partitioned Bremer support indicates that mtDNA COI largely contributed to the non‐monophyly of these species, thus suggesting mtDNA introgression resulting from heterospecific matings. Additionally, the topology resulting from the combined data analysis was concordant with previous taxonomic understanding of Somatochlora species groups. These multi‐gene phylogenies of North American Somatochlora are the first, providing a foundation for future ecological and evolution studies and knowledge for effective decision‐making and public policy, which is especially important for the endangered species, S. hineana. [ABSTRACT FROM AUTHOR]

Red‐emitting nanophosphors have a multirole in improvising the next‐generation bulk/micro/nano‐level lighting devices, particularly in refining white light quality and device performance. Nonetheless, it is difficult to synthesize nanosized phosphors with good yield and paralleled high absorption efficiency both in UV and blue regions, which is critical for modern lighting. Herein, new Mg14Ge4.99+σO24‐x+δFx: Mn4+ red nanoparticles with sizes below 100 nm are designed to improve not only the luminescence but also the blue light absorption. This approach has validated the applicability of red‐emitting nanophosphors into flexible UV and blue nitride nanowire light‐emitting‐diodes (LEDs), and commercial bulk LEDs, for the first time, with boosted intensity and color superiority for a variety of lighting utilizations. For these phosphor LEDs (pc‐LEDs), optimized red nanophosphor with an external quantum efficiency of ≈44.5%, color purity of ≈100%, and thermal stability of ≈72% at 150 °C is used. The optimized nanophosphor is combined with a flexible UV‐AlGaN/GaN nanowire LED and a blue‐InGaN/GaN‐LED. The resultant devices show promising red electroluminescence without any degradation at elevated currents. Finally, several unfamiliar LED packaging is designed with yellow and red phosphors implemented on 2 sets of double LED units to reach CRI > 85. The re‐premeditated LED packages are useful for high‐definition lighting. [ABSTRACT FROM AUTHOR]

The exothermic nature of acrylate photopolymerizations enables room temperature 3D printing of a quaternary formulation that incorporates an acrylate monomer, and an epoxy/thiol‐ene system (ETES). The latter comprises an epoxy monomer, a multifunctional thiol and a tetraallyl functionalized ditertiary amine curing agent. Pristine ETES necessitates temperatures of 85–95 °C for curing. Several mechanisms operate simultaneously during this process: homopolymerization of acrylates, thiol‐acrylate photopolymerization, thiol‐ene photopolymerization between the double bonds of curing agent and the multifunctional thiol, the Michael addition between thiolates derived from ETES and the double bonds of acrylates, and the anionic polymerization of the epoxy resin via the tertiary amine groups. To optimize the quaternary formulations for printing, parameters, such as reactivity, exothermicity, and viscosity, was explored. Subsequently, the thermal and viscoelastic properties of the printed cross‐linked polymers derived from these formulations were analyzed using Differential Scanning Calorimetry (DSC), Dynamic Mechanical Analysis (DMA) and Thermogravimetric Analysis (TGA). The polymers derived from quaternary formulations exhibited lower crosslinked density compared to those obtained from the pristine acrylates. This reduction in crosslink density contributes to the improved toughness of the hybrid polymers. [ABSTRACT FROM AUTHOR]

The mixed Fe(II)/Fe(III) mineral magnetite [Fe3O4] of various stoichiometric and non‐stoichiometric compositions have been reported in Martian soils and rocks by several rover missions. Magnetite is an important paleomagnetic indicator mineral and can serve as a 'biogeobattery' as a consequence of its magnetic properties and the mixed valence state of iron in its structure. Here, we assess the extent of oxidative weathering of magnetite in presence of chlorate and bromate containing solutions that are likely important oxidants on Mars. Oxyhalogen species, chlorate and bromate, produced non‐stoichiometric magnetite [Fe(II)/Fe(III) < 0.5] in Mars‐relevant, near‐neutral pH fluids; no other ferric minerals were produced. The same results were observed in highly acidic fluids with or without oxyhalogens. Owing to its resistance to extensive oxidation, magnetite can serve as an important archive of geochemical, paleomagnetic, and astrobiological information in samples that will be returned by the Mars Sample Return mission. Plain Language Summary: Magnetite is an iron oxide that contains both Fe(II) and Fe(III) in its crystal structure. The Fe(II) to Fe(III) ratio in an ideal (i.e., stoichiometric) magnetite is 0.5, that decreases as Fe(II) in its structure oxidizes to Fe(III) thereby forming non‐ideal (i.e., non‐stoichiometric) magnetite. Owing to its unique structure, magnetite can serve as an important paleomagnetic indicator mineral and a source of energy for microorganisms. Therefore, understanding the survivability of magnetite in presence of the harsh oxidizing chemical environment on Mars is important. Here, we conduct laboratory experiments in Mars‐like fluids to test the reactivity of magnetite in presence of strong and effective oxidants that have previously been shown to be active on Mars. Our results show that magnetite is resistant to extensive oxidation in presence of chlorate and bromate solutions to an extent that is much greater than other Fe(II) minerals like iron sulfides, and forms non‐stoichiometric magnetite making it a useful target for analyses of samples from the Mars Sample Return mission aimed at understanding Mars' magnetic history and habitability. Key Points: Magnetite shows resistance to oxidation by oxyhalogen compounds (chlorate and bromate) in Mars‐relevant fluidsNon‐stoichiometric magnetite on Mars may be formed by aqueous alteration of stoichiometric magnetite by oxyhalogen compoundsMagnetite likely preserves geochemical, paleomagnetic and astrobiological information and is an important target mineral in Mars return samples [ABSTRACT FROM AUTHOR]

Multifunctionality, integration, and miniaturization are the mainstream trends in modern device development. However, optical display and depth perception, essential for innovative applications like intelligent driving and mixed reality, are typically achieved separately in complex and bulky optical systems. Metasurfaces, ultrathin artificial optical surfaces with strong light–matter interaction capabilities at the nanoscale, offer a versatile platform for creating multifunctional, highly integrated, and miniaturized devices by fully exploring spatial multiplexing and utilizing variables like location, polarization, and frequency. In this study, a multifunctional metasurface that integrates meta‐holography with Dammann gratings is presented. By engineering the phase profile, the device can display specific holographic images in the Fresnel region while simultaneously producing a high‐density spot cloud with over 37 000 spots covering the entire half space. As a proof‐of‐concept, a projection and reconstruction experiment is performed to elaborate its potential for retrieving three‐dimensional (3D) spatial information of real scenarios. The simultaneous generation of display and point cloud holds significant promise for applications in cutting‐edge imaging technologies such as intelligent driving and robot vision. [ABSTRACT FROM AUTHOR]

Infection and subsequent inflammatory processes negatively impact prognosis in individuals with traumatic brain injury (TBI). Tissue repair following TBI is tightly regulated by microglia, promoting or, importantly, preventing astrocyte‐mediated repair processes, depending on the activation state of the neuroimmune cells. This study investigated the poorly understood mechanism linking proinflammatory microglia activation and astrocyte‐mediated tissue repair using an in vitro mechanical injury model in mixed cortical cultures of rat neurons and glia. We hypothesized that proinflammatory activation disrupts the microglial response to colony‐stimulating factor 1 (CSF‐1), which stimulates microglia migration and proliferation, both essential for astrocyte‐mediated tissue repair. Following mechanical damage, cultures were treated with lipopolysaccharide (LPS) and interferon‐gamma (IFNγ) to induce a proinflammatory state. Immunocytochemical and biochemical analyses were used to evaluate glial repair. Proinflammatory activation dramatically impeded wound closure, reducing microglial levels via upregulation of the zinc‐dependent disintegrin and metalloprotease 17 (ADAM17), leading to the cleavage of the CSF‐1 receptor (CSF‐1R). Indeed, pharmacological inhibition of ADAM17 effectively promoted wound closure during inflammation. Moreover, zinc chelation prevented ADAM17‐mediated cleavage of CSF‐1R and induced the release of trophic factors, dramatically improving tissue recovery. Our findings strongly identify ADAM17 as a primary regulator of CSF‐1R‐mediated signaling and establish a mechanism defining the association between pro‐inflammatory microglial activation and tissue repair following injury. [ABSTRACT FROM AUTHOR]

Background Purpose Methods Results Conclusions Digital breast tomosynthesis (DBT) has outpaced digital mammography in clinical adoption in the United States; however, substantial technological limitations remain to image quality in DBT, including undersampling from a one‐dimensional (1D) scan geometry, x‐ray source motion during acquisition, and patient motion artifacts from long exam times.A thermionic cathode x‐ray system employing two‐dimensional (2D, planar) multiple x‐ray‐source arrays (MXA) is proposed to improve DBT image quality.A 1D MXA, consisting of a linear array of thermionic cathodes was used to simulate a 2D MXA. The 1D MXA included 11 focal spots separated by a distance of Δd${{\Delta}}d$ = 23 mm. The 11 cathodes were paired with 11 molybdenum 50 mm diameter anode disks, mounted on a rotating shaft within a single vacuum enclosure. Image quality was investigated as a function of MXA configuration by integrating the 1D MXA with a 200 × 250 mm2 flat panel detector at a source‐to‐detector distance of 630 mm, resulting in a 20° tomographic arc. To simulate a 2D MXA, the detector (with phantom) was translated orthogonally to the linear array by a distance (δ$\delta $) ranging from δ$\delta $ = 0 mm (conventional 1D) to δ$\delta $ = 57 mm. All sources operated at 30 kV with 80 mA and 4.5 mAs/pulse, yielding ∼100 mAs per DBT dataset. DBT reconstructions involved 22 projections and used filtered backprojection with a ramp and Hann apodization filter. Volumetric reconstructions for each source were weighted by sampling differences between sources, and averaged. Image quality was assessed in terms of contrast‐to‐noise ratio (CNR), background clutter noise and power spectrum, and slice sensitivity profile (SSP) using a set of physical phantoms, including: (i) contrast‐detail signals coupled to spherical clutter (PMMA in air); (ii) an SSP phantom; (iii) a commercial “breast” phantom (CIRS BR3D, Sun Nuclear, Norfolk, VA); and (iv) bovine muscle.Background clutter noise amplitude reduced monotonically from the 1D MXA (σclutter = 5.9 A.U., δ$\delta $ = 0 mm) and 2D MXA arrays with increasing δ$\delta $, with statistical significance between the 1D MXA and 2D MXA with δ$\delta $ = 57 mm (σclutter = 5.0 A.U., p < 0.001). The contrast‐detail/clutter phantom demonstrated CNR from the 2D MXA (δ  = 57 mm) outperforming the 1D MXA in all combinations of contrast and detail. 2D power spectrum analysis of clutter demonstrated a pronounced Fourier domain null cone for the 1D MXA in the anterior field‐of‐view (away from the 1D MXA position), whereas the 2D MXA geometry (δ = 57 mm) did not exhibit the null cone. The SSP was 15%–50% narrower (FWHM) for the 2D versus the 1D geometry, across all reconstruction setups.The advantages of a 2D source geometry for DBT imaging were demonstrated quantitatively compared to a conventional 1D line of x‐ray sources. The improvement in the 2D geometry was attributed both to improved Fourier domain sampling and reduced SSP. We conclude that 2D MXA sources have the potential to substantially improve DBT imaging in comparison to existing commercial DBT systems. [ABSTRACT FROM AUTHOR]

In‐Mold Electronics (IME) is an innovative technology that allows the creation of 3D‐shaped electronic surfaces by combining printed electronics and In‐Mold Decoration (IMD). During the manufacturing process, the materials that integrate these devices, such as adhesive, must endure the transformation conditions of thermoforming. However, the adhesive rigidity may influence the deformation of the film during this process. In this study, both printed and hybridized samples are compared regarding their stretching and thickness reduction during the thermoforming process. The results indicate that the deformation of the hybridized samples differs from the printed ones, resulting in less stretching in areas near the adhesive, with stretching increasing as it steps away from where it is deposited. Thickness values are also affected, being greater around the adhesive and decreasing farther away. Therefore, the presence of the adhesive significantly impacts the behavior of the film during processing, a factor that must be considered in the design of IME devices to maximize the number of functional devices. [ABSTRACT FROM AUTHOR]

Recent advancements in methodologies such as ecological momentary assessment (EMA) and ambulatory physiology devices have enhanced our ability to measure emotions experienced in daily life. Despite the feasibility of EMA for assessing children's and youth's emotional self‐reports, the feasibility of combining it with physiological measurements in a real‐life context has yet to be established. Our scoping review evaluates the feasibility and usability of implementing emotional and physiological EMA in children and youth. Due to the complexities of physiological EMA data, this review also synthesized existing methodological and statistical practices of existing studies. Following the PRISMA‐ScR guidelines, we searched and screened PsycINFO, PubMed, and Web of Science electronic databases for studies that assessed children's and youth's subjective emotions and cardiac or electrodermal physiological responses outside the laboratory. Our initial search resulted in 4174 studies, 13 of which were included in our review. Findings showed significant variability in the feasibility of physiological EMA, with physiology device wear‐time averaging 58.77% of study periods and data loss due to quality issues ranging from 0.2% to 77% across signals. Compliance for emotional EMA was approximately 60% of study periods when combined with physiological EMA. The review points to a lack of standardized procedures in physiological EMA and suggests a need for guidelines in designing, processing, and analyzing such data collected in real‐life contexts. We offer recommendations to enhance participant engagement and develop standard practices for employing physiological EMA with children and youth for emotion, developmental, and psychophysiology researchers. [ABSTRACT FROM AUTHOR]

Efficient traceability is paramount for Australia's biosecurity system and market access. Electronic identification (eID) offers higher traceability performance than that achieved with visual and mob‐based identification used for the sheep and goats National Livestock Identification System (NLIS). The current study aims to gain an understanding of the barriers and motivations of using eID for NLIS sheep and goats in New South Wales (NSW) and to provide recommendations to support the transition to eID. A social research study using a mixed‐methods approach was used through semi‐structured interviews and a cross‐sectional epidemiological and behavioural study among sheep and goat producers. The COM‐B behaviour change model based on capabilities, opportunities and motivations was used as a framework for the study. A total of 269 participants informed this study: 25 interviews were conducted with government, industry and private stakeholders, and 184 and 58 sheep and goat producers participated in the cross‐sectional study, respectively. The study identified poor understanding of the purpose and importance of NLIS among producers, with over two‐thirds not supporting eID implementation. The main barriers identified to the eID implementation were practical, including costs, technology quality and increased workload. Attitudinal, behavioural and knowledge barriers, such as the perception of the current system providing efficient traceability and the perceived lack of benefits of eID were also identified. This study provides an in‐depth analysis of practices and perceptions of stakeholders and producers on sheep and goat traceability and recommendations to address barriers identified, based on education and appropriate behavioural and technical support. [ABSTRACT FROM AUTHOR]

Background: Facial nerve schwannomas (FNSs) are exceedingly rare benign tumors. This study aims to report on a series of excised FNSs, providing clinical information and details on their surgical management, including novel approaches. Methods: We retrospectively reviewed patients who underwent surgical excision of FNSs in a private otology clinic and public tertiary referral center. The main outcome measures were facial nerve function, complete tumor removal, postoperative complications, tumor recurrence, and hearing. Results: Seventeen patients (10 men and 7 women) with a mean age of 44.23 years (SD, 12.21) underwent surgery during the study period. The most common symptom was facial nerve dysfunction (58.8%). Facial and otoneurologic symptoms (hearing loss, tinnitus, and vertigo) were observed in 88.8% and 77.7% of patients, respectively. The middle cranial fossa (MCF) was the most common approach (six patients, 35.2%), followed by translabyrinthine (TL), transmastoid (TM), and combined TM‐MCF (three patients, 17.6% each). Exclusive endoscopic transcanal suprageniculate (ETS) and mastoid combined with cervical approaches were applied once in two patients, 5.8% each. Total tumor removal was achieved in all cases. No significant postoperative complications were observed. The mean follow‐up period was 193.2 months (SD, 119.5) and no tumor recurrence was observed. Conclusion: This study provides further evidence for the safety and efficacy of various surgical approaches for FNS, and incorporates the endoscopic transcanal approach. Level of evidence: 4. [ABSTRACT FROM AUTHOR]

Background: Structural income inequality – the uneven income distribution across regions or countries – could affect brain structure and function, beyond individual differences. However, the impact of structural income inequality on the brain dynamics and the roles of demographics and cognition in these associations remains unexplored. Methods: Here, we assessed the impact of structural income inequality, as measured by the Gini coefficient on multiple EEG metrics, while considering the subject‐level effects of demographic (age, sex, education) and cognitive factors. Resting‐state EEG signals were collected from a diverse sample (countries = 10; healthy individuals = 1394 from Argentina, Brazil, Colombia, Chile, Cuba, Greece, Ireland, Italy, Turkey and United Kingdom). Complexity (fractal dimension, permutation entropy, Wiener entropy, spectral structure variability), power spectral and aperiodic components (1/f slope, knee, offset), as well as graph‐theoretic measures were analysed. Findings: Despite variability in samples, data collection methods, and EEG acquisition parameters, structural inequality systematically predicted electrophysiological brain dynamics, proving to be a more crucial determinant of brain dynamics than individual‐level factors. Complexity and aperiodic activity metrics captured better the effects of structural inequality on brain function. Following inequality, age and cognition emerged as the most influential predictors. The overall results provided convergent multimodal metrics of biologic embedding of structural income inequality characterised by less complex signals, increased random asynchronous neural activity, and reduced alpha and beta power, particularly over temporoposterior regions. Conclusion: These findings might challenge conventional neuroscience approaches that tend to overemphasise the influence of individual‐level factors, while neglecting structural factors. Results pave the way for neuroscience‐informed public policies aimed at tackling structural inequalities in diverse populations. [ABSTRACT FROM AUTHOR]

Summary: In non‐cooperative multi‐player games, an average sub‐gradient (ASG) strategy for finding an ϵ$$ \epsilon $$‐Nash equilibrium. For convex (but not necessarily strictly convex) individual cost functions, the function convergence of the multi‐player game is demonstrated. Applying Tanaka's formula that characterizes the Nash equilibrium leads to finding the strategy for each player. A min‐max formulation defines the corresponding solution for each player. The main result is proving the reachability of the desired regime, obtaining an explicit upper bound for Tanaka's function decrement. Detailed analyses for two‐player and multi‐player games are developed. For a class of two‐player games with a convex performance function, a set of numerical studies shows the applicability of the proposed method. So, the tracking of the arm in 3‐links robot is considered as an illustrative example. [ABSTRACT FROM AUTHOR]

Background and purpose: Magnetic resonance imaging (MRI) scanners are a major contributor to greenhouse gas emissions from the healthcare sector, and efforts to improve energy efficiency and reduce energy consumption rely on quantification of the characteristics of energy consumption. The purpose of this work was to develop a semi‐automatic analytical methodology for the characterization of the energy consumption of MRI systems using only the load duration curve (LDC). LDCs are a fundamental tool used across various fields to analyze and understand the behavior of loads over time. Methods: An electric current transformer sensor and data logger were installed on two 3T MRI scanners from two vendors, termed M1 (outpatient scanner) and M2 (inpatient/emergency scanner). Data was collected for 1 month (7/11/2023 to 8/11/2023). Active power was calculated, assuming a balanced three‐phase system, using the average current measured across all three phases, a 480 V reference voltage for both machines, and vendor‐provided power factors. An LDC was constructed for each system by sorting the active power values in descending order and computing the cumulative time (in units of percentage) for each data point. The first derivative of the LDC was then computed (LDC'), smoothed by convolution with a window function (sLDC'), and used to detect transitions between different system modes including (in descending power levels): scan, prepared‐to‐scan, idle, low‐power, and off. The final, segmented LDC was used to measure time (% total time), total energy (kWh), and mean power (kW) for each system mode on both scanners. The method was validated by comparing mean power values, computed using the segmented 1‐month LDC, for each nonproductive system mode (i.e., prepared‐to‐scan, idle, lower‐power, and off) against power levels measured after a deliberate system shutdown was performed for each scanner (1 day worth of data). Results: The validation revealed differences in mean power values <1.4% for all nonproductive modes and both scanners. In the scan system mode, the mean power values ranged from 29.8 to 37.2 kW and the total energy consumed for 1 month ranged from 11 106 to 14 466 kWh depending on the scanner. Over the course of 1 month, the portion of time the scanners were in nonproductive modes ranged from 76% to 80% across scanners and the nonproductive energy consumption ranged from 8010 to 6722 kWh depending on the scanner. The M1 (outpatient) scanner consumed 99.9 and 183.9 kWh/day in idle mode for weekdays and weekends, respectively, because the scanner spent 23% more time proportionally in idle mode on the weekends. Conclusions: A semi‐automatic method for quantifying energy consumption characteristics of MRI scanners was introduced and validated. This method is relatively simple to implement as it requires only power data from the scanners and avoids the technical challenges associated with extracting and processing scanner log files. The methodology enables quantitative evaluation of the power, time, and energy characteristics of MRI scanners in scan and nonproductive system modes, providing baseline data and the capability of identifying potential opportunities for enhancing the energy efficiency of MRI scanners. [ABSTRACT FROM AUTHOR]

Batch spawner fishes develop successive clutches of oocytes which allows them to participate in many reproductive cycles during their adult life (iteroparous) and spawn in multiple events within each breeding cycle. Here, ovarian follicular development was morpho‐functionally analyzed in females of the iteroparous batch spawner fish Gymnocorymbus ternetzi. To obtain better insights into the reproductive morpho‐physiology in batch spawners, the objective of this research was to analyze the dynamics of the follicular development, with its hormonal regulation between two active reproduction events. We found that over 16 days, follicles progressed asynchronously to chromatin nucleolus, Primary and Secondary growth stages of oogenesis with progressive secretion of 17β‐estradiol (E2). During the end of secondary growth, the increase in 17α,20β‐dihydroxy‐4‐pregnen‐3‐one (17,20β‐p) was measured relative to the maturation process of the ovarian follicles (e.g., nuclear migration and its rupture during the resumption of meiosis). Interestingly, an additional increase in E2 was observed after fish reproduction, probably related to the recruitment of new batch follicles for secondary growth. We also measured the high values of multiple condition factor post‐reproduction measurements, reflecting more energy invested during the pre‐reproductive process. We also quantified high concentrations of 17,20β‐p, probably related to the recruitment of a new batch of oogonia to meiosis, presumably secreted by post‐ovulatory follicles, after fish reproduction. We finally found that fish without exposure to reproductive stimulus developed a regression phase at day 24, characterized by massive follicle atresia, that allow them to recycle energy and constitutive materials of the follicles invested during oogenesis for another reproductive cycle. [ABSTRACT FROM AUTHOR]

Objective: To investigate Covid‐19 vaccination as a potential secondary public health benefit of case management for Medicaid beneficiaries with health and social needs. Data Sources and Study Setting: The CommunityConnect case management program for Medicaid beneficiaries is run by Contra Costa Health, a county safety net health system in California. Program enrollment data were merged with comprehensive county vaccination records. Study Design: Individuals with elevated risk of hospital and emergency department use were randomized each month to a case management intervention or usual care. Interdisciplinary case managers offered coaching, community referrals, healthcare connections, and other support based on enrollee interest and need. Using survival analysis with intent‐to‐treat assignment, we assessed rates of first‐dose Covid‐19 vaccination from December 2020 to September 2021. In exploratory sub‐analyses we also examined effect heterogeneity by gender, race/ethnicity, age, and primary language. Data Collection and Extraction Methods: Data were extracted from county and program records as of September 2021, totaling 12,866 interventions and 25,761 control enrollments. Principal Findings: Approximately 58% of enrollees were female and 41% were under age 35. Enrollees were 23% White, 12% Asian/Pacific Islander, 20% Black/African American, and 36% Hispanic/Latino, and 10% other/unknown. Approximately 35% of the intervention group engaged with their case manager. Approximately 56% of all intervention and control enrollees were vaccinated after 9 months of analysis time. Intervention enrollees had a higher vaccination rate compared to control enrollees (adjusted hazard ratio [aHR]: 1.06; 95% confidence interval [CI]: 1.02–1.10). In sub‐analyses, the intervention was associated with stronger likelihood of vaccination among males and individuals under age 35. Conclusions: Case management infrastructure modestly improved Covid‐19 vaccine uptake in a population of Medicaid beneficiaries that over‐represents social groups with barriers to early Covid‐19 vaccination. Amidst mixed evidence on vaccination‐specific incentives, leveraging trusted case managers and existing case management programs may be a valuable prevention strategy. [ABSTRACT FROM AUTHOR]

Introduction: Evidence examines how persons experiencing Long COVID (LC) struggle to secure healthcare for symptoms. However, few studies examine healthcare workers experiencing LC, nor the complex and multiple difficulties faced when seeking and receiving healthcare. Methods: This study is based on two phases of longitudinally conducted qualitative interviews, 6 months apart, with National Health Service (NHS) workers experiencing LC, from different occupational roles at NHS locales in Scotland (first interviews, n = 50; second interviews, n = 44). Results: Multiple factors restricted healthcare access, including worries about pressuring the NHS and concerns over LC being legitimised. When healthcare was sought, workers struggled to secure support, referrals and treatment. The following reasons were included: (1) context: the restrictive pandemic healthcare context; (2) illness climate: low GP knowledge surrounding LC and how this could be treated, trends for ascribing symptoms to other causes and reluctance to diagnose LC; (3) sense‐making of LC: healthcare availability linked to occupational role identity. To visualise and examine healthcare barriers, candidacy theory is applied, drawing inferences between healthcare context, illness climate, sense‐making and identities. Conclusion: NHS workers' complex journeys represent Disrupted Candidacy, intersecting challenges across candidacy domains, restricting the seeking and receiving of LC healthcare. Findings provide insights into why NHS workers resisted and withdrew from healthcare‐seeking, and the barriers they faced when attempting to secure LC support. This study presents a pathway for future LC illness research to use a modified candidacy theory framework. Patient and Public Contribution: This research focuses on amplifying and learning from lived experiences, and the voices of NHS workers in Scotland experiencing LC. Interviews represent primary data for this study; thus, participants and their healthcare journeys are centred in this research and all aspects of production, reporting and output. Explicit discussions of stakeholder group involvement are highlighted in the methods section. [ABSTRACT FROM AUTHOR]

Sequence‐specific endonucleases have been key to the study of the mechanisms and control of DNA double‐strand break (DSB) repair and recombination, and the availability of CRISPR‐Cas nucleases over the last decade has driven rapid progress in the understanding and application of targeted recombination in many organisms, including plants. We present here an analysis of recombination at targeted chromosomal 5′ overhang DSB generated by the FnCas12a endonuclease in the plant, Arabidopsis thaliana. The much‐studied Cas9 nuclease cleaves DNA to generate blunt‐ended DSBs, but relatively less is known about the repair of other types of breaks, such as those with 5′‐overhanging ends. Sequencing the repaired breaks clearly shows that the majority of repaired DSB carry small deletions and are thus repaired locally by end‐joining recombination, confirmed by Nanopore sequencing of larger amplicons. Paired DSBs generate deletions at one or both cut‐sites, as well as deletions and reinsertions of the deleted segment between the two cuts, visible as inversions. While differences are seen in the details, overall the deletion patterns are similar between repair at single‐cut and double‐cut events, notwithstanding the fact that only the former involve cohesive DNA overhangs. A strikingly different repair pattern is however observed at breaks flanked by direct repeats. This change in sequence context results in the presence of a major alternative class of repair events, corresponding to highly efficient repair by single‐strand annealing recombination. [ABSTRACT FROM AUTHOR]

Background: Prematurity is associated with an increased risk of persistent wheezing but the underlying mechanisms are not well defined. The aim of this study was to identify blood transcriptional profiles associated with the development of wheezing in a cohort of moderate to late preterm infants and to define immune gene expression changes associated with wheezing. Materials and Methods: A convenience sample of a multicenter birth cohort (SAREPREM) of moderate‐late preterm children followed during the first 3 years of life was analyzed. Children were enrolled in the first 2 weeks of life (Y0) and longitudinally evaluated at 1 (Y1), 2 (Y2), and 3 years (Y3) of age, for the presence of wheezing and to obtain samples for transcriptional profile analysis. Samples were processed on Illumina HT12 chips and genomic expression analyses performed with R programming, modular analysis for biological function, and QuSAGE for quantitative gene expression. Results: Seventy‐six children were included in the study; 33 were classified as non‐wheezing and 43 (56.6%) in the wheezing group. At Y0, children who developed wheezing had decreased expression of interferon genes and increased expression of B cell genes compared with the non‐wheezing group. These changes in IFN and B cell gene expression were especially significant in children with late/persistent wheezing compared with transient wheezers. Conclusions: Changes in IFN and B lymphocyte gene expression identified in early life suggest the existence of specific immunological mechanisms that play an important role in the development of wheezing in late‐preterm infants. [ABSTRACT FROM AUTHOR]

Background: Recent advancements in cancer treatment and post‐transplant management have expanded the population of living donor liver transplant (LDLT) candidates. We aimed to examine variations in public acceptance of LDLT based on patient diagnosis, including unresectable colorectal liver metastases (uCRLM). Methods: A web‐based survey collected demographic information and general perceptions about organ donation in different settings. Respondents indicated their likelihood of being a living liver donor for a family member with genetic liver disease, alcohol‐related liver disease (ALD), and uCRLM. Differences in the likelihood of donation between scenarios were compared. Results: There were 491 survey respondents (female [76.5%], Caucasians [87.4%], and had at least a college degree [98.2%]). Most (82.4%) were aware of the option of living liver donation before the study and 95% supported living organ donation in general. Over 80% were registered as organ donors. Ninety percent indicated that they would be likely to donate to a family member with a genetic liver disease if they qualified as a living donor; significantly more than ALD (59%) and uCRLM (71%) (p < 0.001). Willingness to donate to patients with uCRLM was significantly higher (p < 0.001) than the hypothetical patient with ALD with a clinically accepted recovery period of 6 months. Conclusions: This study is the first of its kind to assess the public acceptance of living liver donation for uCRLM. Respondents were as or more supportive of donating to uCRLM as they were of generally accepted indications for LT. Further surveys with a broader respondent pool are warranted. [ABSTRACT FROM AUTHOR]

Background: Stroke after durable left ventricular assist device (d‐LVAD) implantation portends high mortality. The incidence of ischemic and hemorrhagic stroke and the impact on stroke outcomes of temporary mechanical circulatory support (tMCS) management among patients requiring bridge to d‐LVAD with micro‐axial flow‐pump (mAFP, Abiomed) is unsettled. Methods: Consecutive patients, who underwent d‐LVAD implantation after being bridged with mAFP at 19 institutions, were retrospectively included. The incidence of early ischemic and hemorrhagic stroke after d‐LVAD implantation (<60 days) and association of pre‐d‐LVAD characteristics and peri‐procedural management with a specific focus on tMCS strategies were studied. Results: Among 341 patients, who underwent d‐LVAD implantation after mAFP implantation (male gender 83.6%, age 58 [48–65] years, mAFP 5.0/5.5 72.4%), the early ischemic stroke incidence was 10.8% and early hemorrhagic stroke 2.9%. The tMCS characteristics (type of mAFP device and access, support duration, upgrade from intra‐aortic balloon pump, ECMELLA, ECMELLA at d‐LVAD implantation, hemolysis, and bleeding) were not associated with ischemic stroke after d‐LVAD implant. Conversely, the device model (mAFP 2.5/CP vs. mAFP 5.0/5.5: HR 5.6, 95%CI 1.4–22.7, p = 0.015), hemolysis on mAFP support (HR 10.5, 95% CI 1.3–85.3, p = 0.028) and ECMELLA at d‐LVAD implantation (HR 5.0, 95% CI 1.4–18.7, p = 0.016) were associated with increased risk of hemorrhagic stroke after d‐LVAD implantation. Both early ischemic (HR 2.7, 95% CI 1.9–4.5, p < 0.001) and hemorrhagic (HR 3.43, 95% CI 1.49–7.88, p = 0.004) stroke were associated with increased 1‐year mortality. Conclusions: Among patients undergoing d‐LVAD implantation following mAFP support, tMCS characteristics do not impact ischemic stroke occurrence, while several factors are associated with hemorrhagic stroke suggesting a proactive treatment target to reduce this complication. [ABSTRACT FROM AUTHOR]

The Core Concepts of Pharmacology (CCP) initiative is developing educational resources to transform pharmacology education into a concept‐based approach. This study evaluated the quality of global educator‐created MCQs in generating items for the pharmacology concept inventory (PCI) instrument and developed as a resource for learning pharmacology fundamental concepts. A panel of 22 global pharmacology experts recruited from the CCP initiative research team participated in the MCQ pilot database design and evaluation. The quality analysis framework of the MCQs in the pilot database included four assessment tools: item writing guidelines (IWGs), Bloom's taxonomy, the CCP, and the MCQ design format. A two‐phase evaluation process was involved, including inter‐rater agreement on item quality, followed by resolving conflicts that occurred in quality assessment. The chi‐square (χ2) test of independence and Cramer's V correlation tests were utilized to measure the relationship among quality assessment attributes. About 200 MCQs were gathered and 98% underwent expert evaluation. Nearly 80% addressed one or more CCP, with 52% designed using a context‐dependent format. However, only 40% addressed higher levels of Bloom's cognitive domain and 10% adhered to all IWGs. A strong positive correlation was observed between the context‐based item format and its effectiveness in assessing the higher cognitive domain, the main CCP and improved IWGs adherence. Context‐based item construction can assess the higher cognitive skills and fundamental pharmacology concepts, showing potential for rigorous PCI development. The pilot database will store items to create the PCI, aiding the development of a concept‐based pharmacology curriculum. [ABSTRACT FROM AUTHOR]

Objective: Systemic lupus erythematosus (SLE) is an autoimmune disease with inflammation as a critical feature. Recently, high‐density lipoprotein cholesterol (HDLc) have been evidenced to have anti‐inflammatory effects, suggesting a potential link between HDL and SLE that needs to be thoroughly studied. The aim was to explore the association between SLE and HDLc through a systematic review with meta‐analysis. Methods: A systematic review with meta‐analysis was conducted to assess mean differences in HDL levels between patients with SLE and healthy controls. Both qualitative and quantitative syntheses were performed, including an assessment of heterogeneity using I2, a publication bias evaluation, a methodologic quality assessment, and a forest plot under a random effects model. Subgroup analyses were conducted based on disease activity and the report of corticosteroid dosage. Results: A total of 53 studies were included in the qualitative synthesis, and 35 studies were included in the quantitative synthesis, comprising 3,002 patients with SLE and 2,123 healthy controls. Mean HDL levels were found to be lower in patients with SLE as follows: in the meta‐analysis including all articles −6.55 (95% confidence interval [CI] −8.77 to −4.33); in patients with mild disease activity −5.46 (95% CI −8.26 to −2.65); in patients with moderate or severe disease activity −9.42 (95% CI −15.49 to −3.34); in patients using corticosteroids −5.32 (95% CI −10.35 to −0.29); and in studies with excellent methodologic quality −8.71 (95% CI −12.38 to −5.03). Conclusion: HDL levels appear to be quantitatively altered in patients with SLE, suggesting a potential contribution to immune dysregulation, highlighting the importance of HDL in autoimmune diseases. [ABSTRACT FROM AUTHOR]

Mixed methods research—methodologies that synthesize qualitative and quantitative approaches in the design, collection, analysis, and dissemination of research related to a specific topic or aim—is increasingly common, offering innovative empirical insight into families and relationships. We first elaborate on our definition of mixed methods research, emphasizing that there is significant heterogeneity within mixed methods approaches to studying families and relationships. Second, we discuss benefits of mixed methods projects within family and relationship research, including theory building and innovation. Third, we provide practical suggestions for designing and implementing a mixed methods project, highlighting useful resources for researchers as they develop research questions, plan designs, collect and analyze data, and disseminate findings. We emphasize the unique opportunities from abductive analytic approaches for mixed methods researchers and point to the need for reflexivity. Fourth, we consider common obstacles associated with disseminating mixed methods research and explain why family researchers need "mixed methods literacy" regardless of their research paradigm. Finally, we identify key areas of future growth for mixed methods researchers. We advocate that understanding mixed methods research has practical benefits, even for researchers not using these approaches. To cohesively build—and critique—our knowledge of families and relationships, family and relationship researchers across paradigms should be familiar with the basic tenets, strengths, and limitations of qualitative, quantitative, and mixed methods research. [ABSTRACT FROM AUTHOR]

Background and aims: Opioid use disorder (OUD) and opioid dependence lead to significant morbidity and mortality, yet treatment retention, crucial for the effectiveness of medications like buprenorphine‐naloxone, remains unpredictable. Our objective was to determine the predictability of 6‐month retention in buprenorphine‐naloxone treatment using electronic health record (EHR) data from diverse clinical settings and to identify key predictors. Design: This retrospective observational study developed and validated machine learning‐based clinical risk prediction models using EHR data. Setting and cases: Data were sourced from Stanford University's healthcare system and Holmusk's NeuroBlu database, reflecting a wide range of healthcare settings. The study analyzed 1800 Stanford and 7957 NeuroBlu treatment encounters from 2008 to 2023 and from 2003 to 2023, respectively. Measurements Predict continuous prescription of buprenorphine‐naloxone for at least 6 months, without a gap of more than 30 days. The performance of machine learning prediction models was assessed by area under receiver operating characteristic (ROC‐AUC) analysis as well as precision, recall and calibration. To further validate our approach's clinical applicability, we conducted two secondary analyses: a time‐to‐event analysis on a single site to estimate the duration of buprenorphine‐naloxone treatment continuity evaluated by the C‐index and a comparative evaluation against predictions made by three human clinical experts. Findings Attrition rates at 6 months were 58% (NeuroBlu) and 61% (Stanford). Prediction models trained and internally validated on NeuroBlu data achieved ROC‐AUCs up to 75.8 (95% confidence interval [CI] = 73.6–78.0). Addiction medicine specialists' predictions show a ROC‐AUC of 67.8 (95% CI = 50.4–85.2). Time‐to‐event analysis on Stanford data indicated a median treatment retention time of 65 days, with random survival forest model achieving an average C‐index of 65.9. The top predictor of treatment retention identified included the diagnosis of opioid dependence. Conclusions: US patients with opioid use disorder or opioid dependence treated with buprenorphine‐naloxone prescriptions appear to have a high (∼60%) treatment attrition by 6 months. Machine learning models trained on diverse electronic health record datasets appear to be able to predict treatment continuity with accuracy comparable to that of clinical experts. [ABSTRACT FROM AUTHOR]

Aims: Clinical trials in heart failure with mildly reduced or preserved ejection fraction (HFmrEF/HFpEF) commonly have detailed eligibility criteria. This may contribute to challenges with efficient enrolment and questions regarding the generalizability of trial findings. Methods and results: Patients with HFmrEF/HFpEF from a large US healthcare system were identified through a computable phenotype applied in linked imaging and electronic health record databases. We evaluated shared eligibility criteria from five recent/ongoing HFmrEF/HFpEF trials (PARAGON‐HF, EMPEROR‐Preserved, DELIVER, FINE‐ARTS, and SPIRRIT‐HFpEF) and compared clinical and echocardiographic features as well as outcomes between trial‐eligible and trial‐ineligible patients. Among 5552 patients with HFpEF/HFmrEF, 792 (14%) were eligible for trial consideration, having met all criteria assessed. Causes of ineligibility included lack of recent loop diuretics (37%), significant pulmonary disease (24%), reduced estimated glomerular filtration rate (17%), recent stroke/transient ischaemic attack (13%), or low natriuretic peptides (12%); 53% of ineligible patients had >1 reason for exclusion. Compared with eligible patients, ineligible patients were younger (age 71 vs. 75 years, P < 0.001) with higher rates of coronary artery disease (66% vs. 59%, P < 0.001) and peripheral vascular disease (40% vs. 33%, P < 0.001), but less mitral regurgitation, lower E/e′ ratio, and smaller left atrial sizes. Both eligible and ineligible patients demonstrated high rates of structural heart disease consistent with HFpEF [elevated left atrial size or left ventricular (LV) hypertrophy/increased LV mass], although this was slightly higher among eligible patients (95% vs. 92%, P = 0.001). The two cohorts demonstrated similar LV global longitudinal strain along with a similar prevalence of atrial fibrillation/flutter, hypertension, and obesity. Ineligible patients had similar all‐cause mortality (33% vs. 33% at 3 years) to those eligible but lower rates of heart failure hospitalization (20% vs. 28% at 3 years, P < 0.001). Conclusions: Among patients with HFmrEF/HFpEF from a large health system, approximately one in seven were eligible for major trials based on key criteria applied through a clinical computable phenotype. These findings highlight the large proportion of patients with HFmrEF/HFpEF ineligible for contemporary trials for whom the generalizability of trial findings may be questioned and further investigation would be beneficial. [ABSTRACT FROM AUTHOR]

This study investigated the moderating role of family factors on victimization experiences and internalizing and academic outcomes. Data (collected 2017–2019) on 471 Black urban ninth graders (51% male; Mage = 14 years) with elevated externalizing symptoms were analyzed and we explored how the interaction between (self‐reported) racial socialization, parent relations, and (teacher‐reported) family academic involvement and (self‐reported) violence exposure, racial discrimination, and (teacher‐reported) bullying potentially influenced (student‐ and teacher‐reported) anxiety and depression, and (student‐reported) academic engagement and negative school attitudes. High racial socialization and parent relations were associated with lower internalizing symptoms for youth with discrimination and heard violence, respectively. High academic involvement and parent relations were linked with higher internalizing symptoms for youth with discrimination and high parent relations were linked with higher anxiety for bullied youth. Racial socialization and parent relations may help offset the potential influence of discrimination and heard violence, respectively, for adolescents. [ABSTRACT FROM AUTHOR]

Chemical photoswitches have become a widely used approach for the remote control of biological functions with spatiotemporal precision. Several molecular scaffolds have been implemented to improve photoswitch characteristics, ranging from the nature of the photoswitch itself (e.g. azobenzenes, dithienylethenes, hemithioindigo) to fine‐tuning of aromatic units and substituents. Herein, we present deuterated azobenzene photoswitches as a general means of enhancing the performance of photopharmacological molecules. Deuteration can improve azobenzene performance in terms of light sensitivity (higher molar extinction coefficient), photoswitch efficiency (higher photoisomerization quantum yield), and photoswitch kinetics (faster macroscopic rate of photoisomerization) with minimal alteration to the underlying structure of the photopharmacological ligand. We report synthesized deuterated azobenzene‐based ligands for the optimized optical control of ion channel and G protein‐coupled receptor (GPCR) function in live cells, setting the stage for the straightforward, widespread adoption of this approach. [ABSTRACT FROM AUTHOR]

Respiratory–swallowing coordination (RSC) is well established as an essential airway‐protective mechanism. Previous studies have used nasal airflow and/or kinematic rib cage and abdominal measures to assess respiration surrounding swallowing, meaning that the direct influence of oral respiration on RSC remains unknown. This study used a partitioned oronasal facemask to compare respiratory phase patterns measured using isolated nasal airflow with those measured using combined oronasal airflow during non‐ingestive and ingestive swallowing tasks. Twenty‐four healthy individuals with no respiratory or swallowing disorders were assessed at rest and during cued dry, 10 mL water, continuous drinking and cracker swallowing tasks. Respiratory phase patterns were determined for discrete swallows using the nasal and combined oronasal channels separately. There was variable agreement between respiratory phase patterns according to the nasal and oronasal channels across swallowing conditions. The frequency of exhale–swallow–exhale, inhale–swallow–exhale and exhale–swallow–inhale patterns increased by 2%–3% each with the addition of oral flow data to nasal data, whereas the prevalence of inhale–swallow–inhale and ambiguous patterns decreased. This suggests that estimates of respiratory phase patterns are altered minimally by inclusion of oral respiratory estimates in a healthy sample. There were several additional findings of note, including lower within‐participant, within‐session trial consistency (test–retest reliability) than expected, suggesting high variability in respiratory phase patterns across trials. Additionally, data showed evidence of swallowing non‐respiratory flow at the beginning and end of the respiratory–swallowing pause, moving in both inward and outward directions, potentially expanding current understanding of swallowing non‐respiratory flow. Further in‐depth physiological investigations are required to improve understanding of these findings. [ABSTRACT FROM AUTHOR]

A mechanochemical‐enabled Ru‐catalyzed regioselective synthesis of 3,4‐isoxazoles and 3,4,5‐isoxazoles from terminal and internal alkynes and hydroxyimidoyl chlorides is reported. This solid‐state and solvent‐free approach carefully examines the impact of the milling conditions on regiocontrol in 1,3‐dipolar cycloadditions using mechanochemical means. The study reveals that milling frequency, jar material, and the choice of liquid additive for liquid‐assisted grinding (LAG) significantly influence the catalytic activity of the Ru catalyst. Transmission electron microscope (TEM) analysis confirms the crucial role of coordinating liquid additives such as acetone and cyclopentyl methyl ether (CPME) in stabilizing and reducing the size of the in‐situ formed Ru nanoparticles, which is essential for catalytic activity. The applicability of this protocol is further demonstrated through the synthesis of a library of 3,4‐ and 3,4,5‐isoxazoles from a wide range of terminal and internal alkynes with varying physical states and electronic properties that highlights the potential of this method for the synthesis of more complex target molecules. [ABSTRACT FROM AUTHOR]

A computational model was developed to investigate the significance of system design and operating conditions on the rejection of neutral, low‐MW organics by reverse osmosis for potable reuse. The model demonstrated that the decrease in local rejection as net driving pressure decreases is substantially greater for moderately rejected compounds than for highly rejected compounds. At recovery values less than 70%, the local permeate concentration can exceed the pressure vessel feed concentration for moderately rejected compounds. System‐level rejection of moderately rejected compounds is likewise substantially more sensitive to operating conditions than highly rejected compounds. The findings highlight a drawback of relying on rejection results from bench‐scale testing that operates at low recovery, which invariably has higher rejection than full‐scale systems operating at similar pressure. The analysis demonstrates a trade‐off in which the low‐pressure, high‐recovery operation desired for potable reuse systems can be detrimental to the removal of low‐MW neutral organics. The removal of low‐MW neutral organics can be improved if organics rejection is explicitly evaluated during the design process. [ABSTRACT FROM AUTHOR]

Objective: To what extent does personal experience with discrimination moderate the effect of acculturation on policy preferences amongst Latinxs? Work on acculturation shows that acculturation is an important predictor of policy preferences in Latinxs—with more acculturated individuals generally holding attitudes closer to their non‐Latinx Anglo counterparts than less acculturated Latinxs. Substantively less is known about how personal experience with discrimination influences the extent to which Latinxs adopt more mainstream policy stances. This rings even more true for attitudes outside of immigration, an area that has been the primary focus of scholars for a long time. We begin that exploration here. Methods: We use the 2020 Collaborative Multi‐Racial Post‐Election Survey to explore the moderating role of personal discrimination on acculturation and, by extension, police preferences. We do so in a variety of policy areas, including abortion, affirmative action, climate change, police reform, and immigration, among others. Results: We find that personal experience with discrimination inhibits the expected attitudinal convergence of Latinxs with their Anglo counterparts on a number of issues. Conclusion: The findings here demonstrate that migrant experiences need to be accounted for when trying to understand the political incorporation of the Latinx population in the United States. [ABSTRACT FROM AUTHOR]

The use of electromagnetism and the design of antennas in the field of medical imaging have played important roles in clinical practice. Specifically, magnetic resonance imaging (MRI) utilizes transmission and reception antennas, or coils, that are tuned to specific frequencies depending on the strength of the main magnet. Clinical scanners operating at 3 Teslas (T) function at a frequency of 127 MHz, while research scanners at 7 T operate at 300 MHz. An 11.74 T scanner for human imaging, which is currently under development, will operate at a frequency of 500 MHz. MRI allows for the high‐definition scanning of biological tissues, making it a valuable tool for enhancing images acquired with positron emission tomography (PET). PET is an imaging modality used to evaluate the metabolism of organs or cancers. With recent advancements in the development of portable PET systems that can be integrated into any MRI scanner, we propose the design based on electromagnetic simulations of a triple‐tuned array of dipole antennas to operate at 127, 300, and 500 MHz. This array can be attached to the PET inset and used in 3, 7, or 11.74 T scanners. [ABSTRACT FROM AUTHOR]

Background: Current definition of chronic kidney disease (CKD) identifies only advanced stages, but effective management demands early detection. Urinary albumin‐to‐creatinine ratio (ACR) 30 mg/g is a cut‐off point for CKD clinical diagnosis. Patients with lower values (normoalbuminuria) and eGFR > 60 mL/min/1.73 m2 are considered at no increased cardiorenal risk. However, higher incidence of renal function decline and cardiovascular events have been shown within the normoalbuminuria range. Novel subclinical indicators may help to identify higher‐risk patients. Urinary extracellular vesicles (uEVs) are sentinels of renal function non‐invasively. Here we aimed to approach the early assessment of cardiorenal risk by investigating the protein cargo of uEVs. Methods: Hypertensive patients were classified in control group (C) with ACR < 10 mg/g, and high‐normal group (HN) with ACR 10–30 mg/g. Isolated uEVs were characterized by western blotting and electron microscopy and the protein cargo was analyzed by untargeted proteomics (LC‐MS/MS) in a first discovery cohort. Protein confirmation was performed in a different cohort by ExoView. Immunohistochemistry of human kidney biopsies was also performed to evaluate the potential of uEVs to reflect renal damage. Results: HN albuminuria does not affect the uEVs concentration, size, or tetraspanin profile. Among >6200 uEVs proteins identified, 43 define a panel significantly altered in HN patients without variation in urine, mostly annotated in the tubule (39 out of 43). The tubular transporter long‐chain fatty acid transport protein 2 (SLC27A2) and the apical membrane protein amnionless (AMN) confirmed their alteration in HN patients evidencing impaired tubular reabsorption. SLC27A2 showed tubular expression and significantly reduced levels in patients with diagnostic criteria for CKD. Conclusions: Alterations in the EV‐mediated molecular profile are evident before pathological ACR levels are reached. Direct quantitation of SLC27A2 and AMN in uEVs helps identifying normoalbuminuric subjects with higher cardiorenal risk in early monitoring of CKD. [ABSTRACT FROM AUTHOR]

Frequencies of pharmacogenetic (PGx) variants are known to differ substantially across populations but much of the available PGx literature focuses on one or a few population groups, often defined in nonstandardized ways, or on a specific gene or variant. Guidelines produced by the Clinical Pharmacogenetic Implementation Consortium (CPIC) provide consistent methods of literature extraction, curation, and reporting, including comprehensive curation of allele frequency data across nine defined "biogeographic groups" from the PGx literature. We extracted data from 23 CPIC guidelines encompassing 19 genes to compare the sizes of the populations from each group and allele frequencies of altered function alleles across groups. The European group was the largest in the curated literature for 16 of the 19 genes, while the American and Oceanian groups were the smallest. Nearly 200 alleles were detected in nonreference groups that were not reported in the largest (reference) group. The genes CYP2B6 and CYP2C9 were more likely to have higher frequencies of altered function alleles in nonreference groups compared to the reference group, while the genes CYP4F2, DPYD, SLCO1B1, and UGT1A1 were less likely to have higher frequencies in nonreference groups. PGx allele frequencies and function differ substantially across nine biogeographic groups, all but two of which are underrepresented in available PGx data. Awareness of these differences and increased efforts to characterize the breadth of global PGx variation are needed to ensure that implementation of PGx‐guided drug selection does not further widen existing health disparities among populations currently underrepresented in PGx data. [ABSTRACT FROM AUTHOR]

The thermal decomposition modeling of starch granules (rice, maize, and potato) is investigated in this work. Thermogravimetric analysis (TGA) under nitrogen conditions and different heating rates is carried out. First, a model‐free analysis is carried out to determine the variability of the activation energy with the relative conversion. The results reveal that the sequence of activation energy is rice > maize > potato. In turn, the activation energy is positively correlated (ρ = 0.98) with the relative crystallinity determined by X‐ray diffraction (XRD) analysis. Then, a fractional‐order version of the Sestak–Berggren equation is used to model the starch thermal decomposition. A least‐squares approach is used to estimate the underlying parameters by fitting non‐isothermal TGA curves. The results show that the parameters depend on the heating rate, but more strongly on the XRD relative crystallinity. Overall, the results reported in this study indicate that fractional‐order kinetics models provide an accurate description of the starch thermal degradation, without the use of the traditional TGA heuristic methods used for parameter estimation. [ABSTRACT FROM AUTHOR]

Increasing the resilience of modern infrastructure systems is recognized as a priority by both the International Council on Systems Engineering and the National Academy of Engineering. Resilience answers the key stakeholder need for a stable and predictable system by withstanding, adapting to, and recovering from unexpected faults. Increasing resilience in multi‐agent systems is especially challenging because resilience is an emergent system‐level property rather than the sum of individual agent functions. This paper uses biological systems as a source of inspiration for resilient functions, examining the central question How can biologically inspired design be used to increase the emergent property of resilience in multi‐agent systems? The paper uses functional decomposition to break down the individual functions that result in resilience and transfer the properties to generalized systems. Accordingly, the central hypothesis examined in this article is If functional decomposition is performed on eusocial insect colonies, then generalizable approaches to increase the emergent property of multi‐agent system resilience can be identified. The results provide two contributions. The first contribution is the identification of six general functions based on eusocial insect behavior that influence resilience. The second contribution is a description of the process of identifying and transferring insect behaviors into generalized design‐for‐resilience guidance. To support these contributions, a case study applies biologically inspired functions to an emergency power service system and proposes tactics for the power system to improve its resilience. Thus, this article provides a key step towards our goal of using biologically inspired design to influence the emergent property of resilience in multi‐agent systems. [ABSTRACT FROM AUTHOR]

Cancer is a global health concern influenced by genetics, environment and lifestyle choices. Recent research shows that a ketogenic diet (KD) might ease cancer symptoms and reduce tumour size. We hypothesised that the KD could result in improvements in cancer‐related variables. Therefore, this study aims to perform a systematic review and meta‐analysis to assess the KD's efficacy for patients with cancer. The databases PubMed (MEDLINE), Web of Science, CINAHL and Open Grey were utilised for conducting a systematic review and meta‐analysis. The analysis was limited to randomised controlled trials with adult participants aged 18 years and above. Levels of glucose, cholesterol, insulin‐like growth factor 1, weight and quality of life were evaluated following the KD. After identifying 596 articles in the initial search, eight studies, lasting between 4 and 16 weeks, were included in the systematic review and seven in the meta‐analysis. The KD led to decreased glucose levels in patients with cancer but did not show significant improvements in cholesterol, insulin‐like growth factor 1, weight or quality of life. Based on the results of this systematic review and meta‐analysis, there is insufficient evidence to establish a definitive link between the KD and cancer‐related parameters. While some studies suggest potential benefits in terms of some outcomes and tumour size reduction, further research is required to fully comprehend the effects of this diet. [ABSTRACT FROM AUTHOR]