Morphological Features Research Articles

Emerging Therapeutic Approaches Targeting Ferroptosis in Cancer: Focus on Immunotherapy and Nanotechnology.

Ferroptosis is a newly discovered form of programmed cell death characterized by iron overload, ROS accumulation, and lipid peroxidation. It is distinguished by unique morphological, biochemical, and genetic features and stands apart from other known regulated cell death mechanisms. Studies have demonstrated a close association between ferroptosis and various cancers, including liver cancer, lung cancer, renal cell carcinoma, colorectal cancer, pancreatic cancer, and ovarian cancer. Inducing ferroptosis has shown promising results in inhibiting tumor growth and reversing tumor progression. However, the challenge lies in regulating ferroptosis in vivo due to the scarcity of potent compounds that can activate it. Integrating emerging biomedical discoveries and technological innovations with conventional therapies is imperative. Notably, considerable progress has been made in cancer treatment by leveraging immunotherapy and nanotechnology to trigger ferroptosis. This review explores the relationship between ferroptosis and emerging immunotherapies and nanotechnologies, along with their potential underlying mechanisms, offering valuable insights for developing novel cancer treatment strategies.

Novel S-scheme WO3/ZnO-modified g-C3N4 heterojunction for optimizing norfloxacin photodegradation condition via DoE: Synthesis, characterization, and mechanism evaluation

Norfloxacin, an antimicrobial agent, has been recurrently observed in municipal wastewater facilities, posing a conjectured threat to human health and environmental integrity. Herein, novel ternary heterojunction of WO3/ZnO-modified g-C3N4 was fabricated utilizing the impregnation technique for the organic pollutant degradation, presenting a significant challenge. XRD, XPS, TEM, HR-TEM, SEM, EDS, BET, EIS, Mott-Schottky, ESR, PL, photocurrent, and DRS techniques were used to explore the structural, morphological, textural, and optical features of the produced materials. In this ternary system, ZnO served as an electron transfer conduit, facilitating the formation of a heterojunction interface between the semiconductor constituents. Establishment of the S-scheme within the charge transfer dynamics of the heterojunction markedly augmented charge separation, enhancing the efficacy of the photocatalytic activity. Under optimized conditions via the DoE software (i.e.; photocatalyst dosage: 0.54 g/L, NOR concentration: 25.87 mg/L, Irradiation time: 41.71 min and pH: 6.9), 97.19 % of NOR elimination was achieved by the optimized 20-WZC photocatalyst with a pseudo-first-order kinetic model (k = 0.05 min−1). ESR data, alongside quenching experiments, corroborated the pivotal involvement of O2−, OH, and h+ in the NOR degradation mechanism. The investigation of NOR's potential decontamination pathways was performed using HRLC-MS. TOC analysis revealed a significant mineralization of 82.45 %, indicating the conversion of NOR into H2O, CO2, and other degradable substances. The optimized photocatalyst also demonstrated notable efficiency in the degradation of Tetracycline: 98.15 %, Ciprofloxacin: 93.27 %, Methylene Blue: 98.89 %, and Enrofloxacin: 91.54 % pollutants. The photocatalytic activity of the 20-WZC catalyst remained consistently high, without significant reduction, over five successive cycles.

Coupling effect of gas solubility in a solvent and substrate structure on performance in nanobubble morphological changes

The distribution morphologies of nanobubbles on Highly Oriented Pyrolytic Graphite (HOPG) surfaces prepared using the alcohol-water exchange test method were observed using atomic force microscopy. In situ observation revealed the distinct growth evolution behavior of nanobubble morphology. Molecular dynamics simulation was employed to replicate the experimental test and investigate the influence of the coupling effect of gas solubility and substrate structure on the morphological features of nanobubble distribution in alcohol-water exchange experiments. The results demonstrate that gas solubility plays a pivotal role in the nucleation of surface nanobubbles during alcohol-water exchange. Specifically, stable surface nanobubbles form only when the solubility exceeds 0.02535. Furthermore, under conditions where gas solubility satisfies the nucleation criteria, the surface potential energy of concave and defective structures exhibits concave characteristics, giving rise to the nucleation of cap-shaped nanobubbles. In contrast, the step structure, characterized by the smallest average surface potential energy, results in relatively flat properties in the lowest area, with nanobubble nucleation taking the form of layer-shaped features. yields relatively uniform characteristics at the lowest level, where nanobubble nucleation manifests in the form of layered features. As time progresses, cap-shaped nanobubbles coalesce, leading to the escape of gas molecules and subsequent dissipation, whereas the layer-shaped nanobubbles adsorb gas molecules from the solution, prompting their expansion.

High-performance α-Fe2O3 nano cubes as anode for supercapacitors

Abundant availability, high theoretical specific capacitance and low cost of transition metal oxides such as iron oxides, make them attractive as electrode materials for energy storage. In order to achieve improved performance, high conductivity, shorter ion-diffusion path, and faster ion accessibility, rational design of morphology of electrode material is highly desirable. We have successfully synthesized mesoporous α-Fe2O3 nanocubes to achieve high specific capacitance and better retention. The as-prepared and annealed α-Fe2O3 nanocubes show high reversible redox activity along with good thermodynamic stability. These nanostructure give rise to high specific capacitance and ~90 % of the capacitance can be retained even after 1000 redox cycles, suggesting good cyclic stability. The electrochemical performance of mesoporous α-Fe2O3 nanocubes is attributed to the morphological features, which results in efficient K+ ion transport into the pores. A two electrode α-Fe2O3//NiO device is fabricated, which shows excellent power and energy density of ∼627 W/kg and ∼23.32 Wh/kg, respectively. Our work demonstrates that 3D nanoporous α-Fe2O3 electrodes forms promising material system as anode for improved charge storage performance.

A redescription and new generic placement of the New Zealand marine-associated jumping spider Marpissa marina (Goyen, 1892) (Araneae: Salticidae: Euophryini)

ABSTRACT The jumping spider Marpissa marina (Goyen, 1892) is endemic to Aotearoa New Zealand. In this paper, we redescribe the species. Marpissa marina was placed in the Northern Hemisphere genus Marpissa due to its subjective similarity to spiders in that genus. The original description lacked modern morphological diagnoses and useful illustrations. The description was based largely on the female, and therefore lacked the taxonomically important characters seen in the male pedipalp. Previous literature has suggested M. marina may be related to the Australian genus, Maratus Karsch, 1878. We applied an integrative taxonomic approach based on diagnostic morphological characters and molecular analysis for a more detailed species description and assignment into an appropriate genus. Morphological features indicate that M. marina belongs to Maratus. This is supported by phylogenetic analyses using DNA sequences from the nuclear gene Actin 5C and the mitochondrial gene 16S ribosomal RNA. We transfer Marpissa marina into the genus Maratus, as Maratus marinus (Goyen, 1892), new combination.

Nadus overlaeti (Navás, 1931) redescribed—new to the fauna of Mozambique, Namibia and Tanzania (Neuroptera: Myrmeleontidae)

Two species used to be included in the African genus Nadus: Nadus overlaeti (Navás, 1931) and Nadus sudanensis Navás, 1935. Following our revision of the genus, we propose that Nadus sudanensis Navás, 1935 (syn.nov.) should be a new junior synonym of Nadus overlaeti (Navás, 1931). The monobasic genus and species are redescribed. Several photographs illustrate morphological features. The distribution, habitat, and seasonal activity of the species are given.

Predictors of percutaneous coronary intervention derived from CCTA in patients with chronic coronary syndrome

Abstract Background To identify anatomical and morphological plaque features predictors of percutaneous coronary intervention (PCI) and create a multiparametric score to increase the predictive yield. Moreover, we assessed the incremental predictive value of FFRCT (Fractional Flow Reserve derived from CCTA) trans-lesion gradient (ΔFFRCT) when integrated into the score. Methods Observational cohort study including patients undergoing CCTA for suspected coronary artery disease, with FFRCT available, referred to invasive coronary angiogram and assessment of fractional flow reserve. Plaque analysis was performed using validated semi-automated software. Logistic regression was performed to identify anatomical and morphological plaque features predictive of PCI. Optimal thresholds were defined by area under the receiver-operating characteristics curve (AUC) analysis. A scoring system was developed in a derivation cohort (70% of the study population) and tested in a validation cohort (30% of patients). Results The overall study population included 340 patients (455 vessels), among which 238 patients (320 vessels) were included in the derivation cohort. At multivariate logistic regression analysis, absence of left main disease, diameter stenosis (DS), non-calcified plaque (NCP) volume, and percent atheroma volume (PAV) were independent predictors of PCI. Optimal thresholds were: DS³50%, volume of NCP>113 mm3 and PAV>17%. A weighted score (CT-PCI Score) ranging from 0 to 11 was obtained. The AUC of the score was 0.80 (95%CI 0.74-0.86). The integration of ΔFFRCT in the CT-PCI score led to a mild albeit not significant increase in the AUC (0.82, 95%CI 0.77-0.87, p=0.328). Conclusions Plaque anatomy and morphology derived from CCTA could aid in identifying patients amenable to PCI.Central IllustrationPredictive accuracy of the CT-PCI score

Plaque characteristics and long-term outcome of non-culprit plaque rupture in AMI patients

Abstract Background Non-culprit plaque rupture (PR) had widespread nature in patients with acute coronary syndrome, indicating generalized acute destabilization. However, morphological features and long-term outcomes of non-culprit PR in acute myocardial infarction (AMI) patients have not been systemically investigated. Objectives We aimed to investigate the pancoronary picture (plaque characteristics and location) and long-term outcomes of non-culprit PR in AMI patients. Methods From January 2017 to May 2019, 3757 non-culprit plaques were analyzed in 883 AMI patients treated by 3-vessel optical coherence tomography. Patients and lesions were divided into two groups based on the presence or absence of non-culprit PR. All patients enrolled were followed for up to four years. Results Non-culprit PR was found in 178 patients (20.2%) and 200 lesions (5.3%). Patients with non-culprit PR had a more non-culprit lesions (NCLs) (p < 0.001), diseased arteries (p < 0.001) and multi-vessel disease (p < 0.001) compared with patients without non-culprit PR, both in angiography and OCT analyses. In vulnerable plaque feature, non-culprit PR group had higher incidence of thin-cap fibroatheroma (TCFA) (p < 0.001; p < 0.001), minimal lumen area (MLA) < 3.5mm² (p = 0.004; p = 0.012), CLIMA-defined high-risk plaque (p < 0.001; p < 0.001), thrombus (p < 0.001; p < 0.001), lipid rich plaque (p < 0.001; p < 0.001), calcification (p < 0.001; p < 0.001), macrophage (p < 0.001; p < 0.001), microchannel (p < 0.001; p < 0.001), cholesterol crystals (p < 0.001; p < 0.001), and layered tissue (p < 0.001; p < 0.001) compared with the other group, in patient and lesion level. In addition, non-culprit PR was highly populated at "hot spots" in the right coronary artery (56.5% vs. 40.2%; p < 0.001), and the originally treated culprit artery (33.5% vs. 25.2%; p = 0.008), and tended to cluster proximal to the coronary ostium [26.1 (15.5-38.0) vs. 29.4 (15.8-44.5); p = 0.009]. Multivariate analysis identified the NCL in the initially treated culprit artery (odds ratio [OR]: 1.874, 95% confidence interval [CI]: 1.230–2.857, p = 0.003), distance from coronary ostium to MLA site (OR: 0.987, 95% CI: 0.978–0.997, p = 0.008), mean lipid arc (OR: 1.006, 95% CI: 1.003–1.010, p = 0.001), TCFA (OR: 15.870, 95% CI: 10.259–24.551, p < 0.001), thrombus (OR: 4.333, 95% CI: 2.346–8.003, p < 0.001), and microchannel (OR: 1.679, 95% CI: 1.136–2.482, p = 0.009) were independent predictors of non-culprit PR. Non-culprit PR showed higher 4-year rates of NCL-related major adverse cardiac events in the patient (14.0% vs. 5.1%; p = 0.001) and lesion (6.5% vs. 0.9%; p < 0.001) levels. Conclusions NCLs with non-culprit PR had a unique pancoronary picture (pancoronary vulnerability and "hot spots") and worse long-term outcomes in AMI patients.

Atrial functional and ventricular functional mitral regurgitation: definitions, epidemiology, and prognostic implications

Abstract Background Severe functional mitral regurgitation (fMR) can be divided into two subgroups: fMR of atrial (AfMR) and fMR of ventricular origin (VfMR). Studies on AfMR are scarce and inconsistent, lacking a uniform definition of AfMR. Hence, little is known about its epidemiology, morphological features, associated risk profiles, and prognostic implications. Purpose The objective of this study was to develop and test a uniform definition of fMR based on the morphological correlate and to describe demographic characteristics, detail entity-specific morphological features and to investigate the associated prognostic impact. Methods 13052 patients with severe fMR and those at risk of severe fMR (comprising mild and moderate fMR)were included. Based on the ratio of left atrial volume (LA) to left ventricular end-diastolic volume (LVEDV), those with severe fMR (n=1163) were divided into AfMR and VfMR. The median of this ratio was used for allocation. Therefore, a LA/LVEDV ratio ≤ 0.56 indicated predominantly ventricular eccentric remodelling, whereas a ratio > 0.56 indicated predominantly atrial remodelling. Results AfMR was more frequently observed in female patients and peak age was a decade later, compared to VfMR. AfMR was the predominant fMR subtype in patients with heart failure with preserved (76%) and mildly reduced ejection fraction (61%), but a significant proportion could be observed even in patients with heart failure with reduced ejection fraction (32%). Severe fMR was associated with excess mortality for both entities: VfMR HR 1.31 [95% CI: 1.14-1.50], p<0.001, with a more pronounced impact in patients with AfMR HR 1.68 [95% CI: 1.47-1.91], p<0.001; AfMR vs. VfMR: HR 1.27 [95% CI: 1.06-1.54], p=0.011. The association between fMR and excess mortality persisted even after multivariate adjustment. In both entities, ischaemic heart disease was common and resulted in a significant increase of mortality (VfMR: HR 1.67 [95% CI: 1.40-1.98], p for interaction<0.001; AfMR: HR 2.10 [95% CI: 1.75-2.52], p for interaction=0.006). Conclusion Based on the entity-specific morphological correlate, severe fMR can be classified into AfMR and VfMR. AfMR occurs across the entire HF spectrum, is more frequently observed in elderly and female patients, and exhibits a worse prognosis than VfMR. The presence of ischaemic heart disease is associated with a near doubling of mortality in both subgroups of severe fMR.Prevalence of fMRKaplan-Meier analysis

Prediction of mortality, future arrhythmia and cardiovascular disease: an artificial intelligence-enhanced electrocardiography platform

Abstract Background Artificial intelligence-enhanced electrocardiography (AI-ECG) can be used to identify existing disease, but could additionally be used to predict occurrence of future disease and death. Purpose We developed an AI-ECG platform that predicts mortality and a wide spectrum of future arrhythmia and cardiovascular disease. Methods The AI-ECG risk estimation platform (AIRE) was developed in a dataset of 1,163,401 ECGs from 189,539 patients from a secondary care setting in the USA. Uniquely, AIRE uses deep learning with a residual convolutional neural network with a discrete-time survival loss function to output subject-specific survival curves (Fig 1A). AIRE was fine-tuned to additionally predict the endpoints described below. Results AIRE accurately predicts risk of all-cause mortality (C-index 0.775 (0.773-0.776) and can differentiate prognosis in high- and low-risk subjects, even when only cardiologist-defined normal ECGs are considered (Fig 2B). Additionally, in Cox regression analyses, AIRE was superior to conventional risk factors (Fig 1B). AIRE accurately predicted future ventricular arrhythmia (c-index 0.760 (0.756-0.763)), future complete heart block (CHB) (0.809 (0.805-0.814), future atrial fibrillation (0.753 (0.751-0.756), future atherosclerotic cardiovascular disease (0.696 (0.694-0.698)) and future heart failure (0.787 (0.785-0.789)) . AIRE was superior to left ventricular ejection fraction (LVEF) in predicting risk of future ventricular arrhythmias in subjects with LVEF <50% (C-index 0.649 (0.638 – 0.660) vs 0.615 (0.603 – 0.626) p < 0.0001 ). For CHB prediction, AIRE was able to further risk stratify subjects with bifascicular block and syncope into low (1.9% 5 year CHB), intermediate (8.8%), and high risk (20.7%) groups, and could guide treatment decisions. We externally validated our findings in four diverse, transnational cohorts from Brazil and the UK, including volunteers, primary care subjects and patients with Chagas disease, and found AIRE accurately predicted all-cause mortality in all four external cohorts (Fig 2). Non-mortality endpoints were successful externally validated in the UKB. In explainability analyses, we found features of QRS morphology, low QRS voltage, poor precordial R wave progression, inverted and biphasic T waves and ST segment changes were the most significant morphological features associated with high predicted mortality (Fig 1D). Through phenome- and genome-wide association studies (GWAS), we identified candidate biological pathways including changes in cardiac structure (LV mass, LV trabeculation and left atrial size). GWAS identified variants adjacent to VGLL2, KCNQ1, CCDC91 and TBX3 which have been described in association with QT interval, biological aging and metabolic syndrome (Fig 1E). Conclusion AIRE could be used worldwide across a range of clinical contexts for risk estimation of not only mortality but a wide spectrum of future arrhythmia and cardiovascular diseases.Figure 1Figure 2

Cardiac amyloidosis: a texture issue. a proof of concept study on quantification of granular sparkling in patients with transthyretin-related cardiac amyloidosis using radiomics and granulometry

Abstract Background Granular sparkling is a well-known echocardiographic feature found in patients with transthyretin-related cardiac amyloidosis (ATTR-CA). However, there is no objective technique for quantifying this feature, which therefore remains a qualitative, elusive and ultimately unreliable imaging characteristic. Recent evidence suggests that radiomics and, in particular, ultrasonomics could play an important role in the non-invasive tissue characterization of cardiomyopathies through the study of specific myocardial texture features. Purpose The aim of this study is to statistically and geometrically characterize granular sparkling as a volume-independent texture property of the myocardium in patients with ATTR-CA. Methods We retrospectively collected echocardiogram video-clips in parasternal long axis (PLAX) and 4-chamber (4CH) views of 229 patients with ATTR-CA, and 224 age- and gender-matched hypertensive patients without any known cardiac disease. From each video-clip, one end-diastole frame was extracted and annotated by an expert to identify a region-of-interest (ROI) within the interventricular septum. Left ventricle chamber masks were also extracted, and used as a brightness reference to enforce invariance w.r.t. the settings of the specific ultrasound system (Fig. 1). Because many established radiomic textural features are heavily volume-confounded, we analyzed the ROI texture by extracting a subset of volume-invariant radiomic features (i.e. ROI-independent), as well as morphological granulometry features. We then fitted a logistic regression classifier to discriminate between ATTR-CA and controls based on the computed textural features. Results 94 radiomic features were identified, of which 73 were volume-invariant. The texture-based classifier predicted the diagnosis with a cross-validated accuracy of 91%, a specificity of 90% and a sensitivity of 92% by utilizing 73 volume-invariant radiomic features on both PLAX and 4CH views (Fig. 2). The addition of granulometry and the further addition of 11 volume-confounded features and 9 shape features to the model did not significantly enhance its discriminative performance (Fig. 2). The top 10 volume-invariant discriminative features were largely consistent in PLAX and 4CH views (Fig. 2), with variables descriptive of greater heterogeneity (such as glszm_ZoneEntropy and glszm_RunEnNtropy) and a higher spatial rate of change (such as ngtdm_Complexity) in the texture of ATTR-CA frames as compared to control frames. Conclusions Our results confirm the ability of radiomics in detecting subtle differences in the myocardial texture of echocardiographic images between patients with ATTR-CA and hypertensive controls. High levels of accuracy are obtained with a purely texture-based, volume-independent set of features. These findings suggest that the diagnosis of ATTR-CA could be simplified and made earlier using a statistical model based on the extraction of radiomic features.Figure 1Figure 2

An interpretable deep learning model for detecting BRCA pathogenic variants of breast cancer from hematoxylin and eosin-stained pathological images

Background Determining the status of breast cancer susceptibility genes (BRCA) is crucial for guiding breast cancer treatment. Nevertheless, the need for BRCA genetic testing among breast cancer patients remains unmet due to high costs and limited resources. This study aimed to develop a Bi-directional Self-Attention Multiple Instance Learning (BiAMIL) algorithm to detect BRCA status from hematoxylin and eosin (H&E) pathological images. Methods A total of 319 histopathological slides from 254 breast cancer patients were included, comprising two dependent cohorts. Following image pre-processing, 633,484 tumor tiles from the training dataset were employed to train the self-developed deep-learning model. The performance of the network was evaluated in the internal and external test sets. Results BiAMIL achieved AUC values of 0.819 (95% CI [0.673–0.965]) in the internal test set, and 0.817 (95% CI [0.712–0.923]) in the external test set. To explore the relationship between BRCA status and interpretable morphological features in pathological images, we utilized Class Activation Mapping (CAM) technique and cluster analysis to investigate the connections between BRCA gene mutation status and tissue and cell features. Significantly, we observed that tumor-infiltrating lymphocytes and the morphological characteristics of tumor cells appeared to be potential features associated with BRCA status. Conclusions An interpretable deep neural network model based on the attention mechanism was developed to predict the BRCA status in breast cancer. Keywords: Breast cancer, BRCA, deep learning, self-attention, interpretability.

Noninvasive predictors of residual coronary microvascular dysfunction after elective percutaneous coronary intervention

Abstract Backgrounds Coronary computed tomographic angiography (CCTA) provides noninvasive assessments of coronary plaque morphologies and perivascular inflammation. Morphological features associated with residual coronary microvascular dysfunction (CMD) after elective percutaneous coronary intervention (PCI) remains unknown. Purpose This study aimed to examine prevalence and predictors of residual CMD and its phenotypes after elective PCI. Methods We investigated consecutive patients who were scheduled for elective fractional flow reserve (FFR)-guided PCI for de novo single lesions with pre-PCI CCTA data. Pre- and post-PCI comprehensive physiological assessments including coronary flow reserve (CFR) and index of microcirculatory resistance (IMR) were performed by using pressure temperature sensor-tipped guidewire in all patients. Patients with periprocedural myocardial infarction were excluded. Residual CMD was defined as lesions with post-PCI coronary flow reserve (CFR) <2.0, which was further categorized as functional (IMR<25) or structural (IMR ≥25) CMD. Results A total of 198 de novo lesions in 198 patients were included in the final dataset. Pre- and post-PCI mean CFR were 1.79 [1.27, 2.53] and 2.72 [2.00, 4.04], respectively. Residual CMD was observed in 24.7% (49/198) of patients, categorized as functional (n=26) or structural (n=23). Patients with residual CMD showed older age, less frequent diabetes mellitus, current smoking and a culprit lesion in left anterior descending artery (LAD), and higher CCTA-defined calcium score in the culprit vessel compared with those in patients without residual CMD. Multivariable logistic regression analysis showed that age (adjusted odds ratio [OR]:1.04; 95% confidence interval [CI]: 1.00 to 1.08; p=0.04) and non-LAD (adjusted OR: 2.18; 95%CI: 1.03 to 4.63; p=0.04) were independently associated with residual CMD. In patients with residual CMD, patients with structural CMD tended to have more frequent diabetes mellitus (43.5% vs 19.2%, P=0.13) and atrial fibrillation (26.1% vs 7.7%) and showed significantly lower pericoronary adipose tissue attenuation (PCATA) in right coronary artery (RCA) by CCTA (-79.9 HU vs -74.6 HU, P=0.04) compared with patients with functional CMD. CCTA-detected epicardial fat volume and attenuation showed no significant differences between patients with residual functional CMD, those with residual structural CMD, and those without residual CMD. Multivariable analysis revealed that diabetes mellitus (adjusted OR: 5.18; 95%CI: 1.14 to 23.7; p=0.03) and PCATA in RCA (adjusted OR: 0.93; 95% CI: 0.85 to 1.00; p=0.05) were independently predictive of residual structural CMD. Conclusions Residual CMD was observed in approximately 25% of patients undergoing elective PCI. CCTA-defined calcium score and PCATA, along with clinical factors could be potential predictors of post-PCI residual CMD and its phenotypes.

YOLO-DHGC: Small Object Detection Using Two-Stream Structure with Dense Connections

Small object detection, which is frequently applied in defect detection, medical imaging, and security surveillance, often suffers from low accuracy due to limited feature information and blurred details. This paper proposes a small object detection method named YOLO-DHGC, which employs a two-stream structure with dense connections. Firstly, a novel backbone network, DenseHRNet, is introduced. It innovatively combines a dense connection mechanism with high-resolution feature map branches, effectively enhancing feature reuse and cross-layer fusion, thereby obtaining high-level semantic information from the image. Secondly, a two-stream structure based on an edge-gated branch is designed. It uses higher-level information from the regular detection stream to eliminate irrelevant interference remaining in the early processing stages of the edge-gated stream, allowing it to focus on processing information related to shape boundaries and accurately capture the morphological features of small objects. To assess the effectiveness of the proposed YOLO-DHGC method, we conducted experiments on several public datasets and a self-constructed dataset. Exceptionally, a defect detection accuracy of 96.3% was achieved on the Market-PCB public dataset, demonstrating the effectiveness of our method in detecting small object defects for industrial applications.

Effect of body mass index on quadriceps angle and tibial torsion in school-aged children

BackgroundThe prevalence of excessive body mass (BMI) is increasing in pediatric population. Accordingly, the number of musculoskeletal problems in this population is also likely to increase. The quadriceps angle (Q-angle) is a clinical measure used to measure knee alignment in relation to the hip, femur, and tibia, as well as evaluating alignment of the patella. Tibial torsion (T.T) is an important morphological feature of human tibia. The aim of that study was to study the relationship between the Q-angle and TT in children 8 to 12 years old, the effect of BMI on Q-angle and T.T, and the difference in Q-angle and TT between dominant and non-dominant side.Results“Seventy-five children from primary schools” were enrolled in the study and allocated into 3 groups (25 subjects in each group), according to BMI: group I (normal weight = 25), group II (overweight = 25), and group III (obese = 25). The mean value of age of groups I, II, and III was 10.35 ± 1, 10.74 ± 1.2, and 10.17 ± 1.18 years respectively; the mean value of weight was 29.88 ± 3.94, 43.68 ± 6.55, and 50.06 ± 10.44 kg respectively; the mean value of height was 135.28 ± 7.63, 143.2 ± 8.85, and 140.72 ± 9.3 cm respectively; and the mean value of BMI was 16.22 ± 1, 21.18 ± 1.4, and 25.17 ± 2.67 kg/m2. The number (%) of boys in groups I, II, and III was 15 (60%), 18 (72%), and 17 (68%) respectively and of girls was 10 (40%), 7 (28%), and 8 (32%) respectively.The significant values were Q-angle and TT. Data were expressed as mean ± SD. ANOVA was used to compare between subjects’ characteristics of the groups. Kolmogorov-Smirnov test was used for testing normality of data distribution. One-way MANOVA was used to compare parametric variables (Q-angle and TT) between the two groups. Compared with normal weight children, there was statistically significant increase in Q-angle and TT angle in overweight and obese children.ConclusionAny change in BMI would eventually lead to change in both Q-angle and TT angle. The greater the BMI values, the greater the values of Q-angle and TT angle.

Novel morphological classification of left atrial appendage using 3-dimensional printer -rock, paper and scissors-

Abstract Background The WATCHMAN device was developed as a permanent implantable device to seal off the LAA to prevent cardiogenic embolism. It has been used in Japan since September 2019 only for patients who are at the high risk of bleeding events. It is known that the LAA diameter of Asians is larger than that of non-Asians. Furthermore, the LAA of the Japanese are more complicated, compared to the Western. Whereas the four classifications from previous reports are widely used in the world, the classification differs with different physicians in the real-world practice. Purpose We aimed to identify the relationship between morphological features of LAA and clinical events such as ischemic stroke in Japanese patients. Methods All LAAC cases in our institution performed between February 2020 and December 2023 were retrospectively analyzed. The three-dimensional printing of LAA was generated from cardiovascular computed tomography imaging data. The shapes of the LAA were classified into 3 morphological types: (1) The LAA with bi lobe was defined as "Scissors" type; (2) The one with complicated peripheral branches was "Paper" type; (3) The simple one was "Rock" type. We examined the between the risk of cardioembolic stroke and the morphological features of the LAA. The left atrial appendage was classified by two cardiologists, and when they made different choices, we used the operator's choice. Results The cohort consisted of 116 patients, excluding 22 patients without CT scans. Of those, 30 (26%), 38 (33%) and 48 (41%) patients were divided into the Rock, Scissors and Paper types, respectively. All groups were identically matched for comorbidities. Table shows the patient characteristics and the results of univariate and multivariate analysis. There were 51 (44%) patients who had a history of cardioembolic stroke (18% vs. 30% vs. 53%; Rock vs. Scissors vs. Paper types, p-value = 0.05). In the multivariate analysis, the Paper type is the potential risk factor of cardioembolic stroke (p-value = 0.01). In addition, of those, 36 (31%), 32 (28%), 28 (24%) and 20 (17%) patients were divided into the Chicken wing, Cactus, Cauliflower and Windsock types, respectively. The four types were not associated with prior cardioembolic stroke events (18% vs. 25% vs. 55%; Chicken wing vs. Cactus vs. Cauliflower vs. Windsock types, p-value = 0.83). The match rate of cardiologists’ choice was 86.2% for the new classification and 44.8% for the classical classification. Conclusions The morphological features of LAA by three-dimensional printing was significantly related to cardioembolic stroke in this population. Patients with Paper type LAA were significantly more likely to have had a history of cardioembolic stroke. These results could have a relevant impact on the antithrombotic management of patients who are at the high risk of embolic and bleeding events and, moreover, LAAC could be the best option for these patients.

Polymer Composite Coatings Enhanced with Superhydrophobic Properties for Flexible Electronics Applications: A Review

ABSTRACT Flexible electronics have revolutionized various industries by offering lightweight and conformable solutions for diverse applications. However, their vulnerability to environmental factors, particularly moisture, remains a critical challenge. Polymer composite coatings enriched with superhydrophobic properties have gained considerable attention as a promising solution to safeguard flexible electronics. The present research report is a comprehensive review of the recent advancements in the development and application of superhydrophobic polymer composite coatings in flexible electronics, highlighting its potential applications in sensors and EMI shielding. The improvement in superhydrophobic characteristics hinges upon the choice of materials, fabrication techniques, surface morphology, and topographical features. This review article elaborates on the selection criteria for various organic and inorganic fillers suitable for polymers possessing innate hydrophobic or conducting properties. The different materials used as fillers in polymer matrix for fabricating superhydrophobic coating, the factors affecting the superhydrophobic properties of surfaces, and the superhydrophobic properties of fabricated surfaces using different materials have been reported.

Hybrid Raman and Partial Wave Spectroscopy Microscope for the Characterization of Molecular and Structural Alterations in Tissue.

We present a hybrid Raman spectroscopy (RS) and partial wave spectroscopy (PWS) microscope for the characterization of molecular and structural tissue alterations. The PWS performance was assessed with surface roughness standards, while the Raman performance with a silicon crystal standard. We also validated the system on stomach and intestinal mouse tissues, two closely-related tissue types, and demonstrate that the addition of PWS information improves RS data classification for these tissue types from R2 = 0.892 to R2 = 0.964 (norm of residuals 0.863 and 0.497, respectively). Then, in a proof-of-concept experiment, we show that the hybrid system can detect changes in intestinal tissues harvested from a tumorigenic Villin-Cre, Apcfl/wt mouse. We discuss how the hybrid modality offers new abilities to identify the relative roles of PWS morphological features and Raman molecular fingerprints, possibly allowing for their combination to enhance the study of carcinogenesis and early cancer diagnostics in the future.

Sulforaphane Attenuates Ethanol-Induced Teratogenesis and Dysangiogenesis in Zebrafish Embryos

Prenatal ethanol exposure can cause a broad range of abnormalities in newborns known as Fetal Alcohol Spectrum Disorder (FASD). Despite significant progress in understanding the disease mechanisms of FASD, there remains a strong global need for effective therapies. To evaluate the therapeutic potential of sulforaphane (SFN), an active compound extracted from cruciferous vegetables, in preventing FASD, ethanol-exposed zebrafish embryos were pretreated, co-treated, or post-treated with various concentrations of SFN. The FASD-like morphological features, survival rate, hatching rate, and vascular development were then assessed in the zebrafish embryos. It was found that pretreatment with 2 μM SFN during 3–24 hpf had no noticeable protective effects against teratogenicity induced by subsequent 1.5% ethanol exposure during 24–48 hpf. In contrast, co-treatment with 2 μM SFN and 1.5% ethanol during 3–24 hpf significantly alleviated a range of ethanol-induced malformations, including reduced body length, small eyes, reduced brain size, small otic vesicle, small jaw, and pericardial edema. Post-treatment with 3 μM SFN for 4 days following 1.5% ethanol exposure during 3–24 hpf also significantly reduced the characteristic features of FASD, decreasing the mortality rate and restoring body length, eye size, brain size, and otic vesicle circumference. Moreover, we found that ethanol, even at a low dose (0.5%), causes vascular development deficit in the zebrafish embryos, which were also largely rescued by SFN treatment. These data indicated that SFN has great potential to be used in the prevention and treatment of FASD.

Morphology and Magnetic Properties of Ni Nanowires in Thin Film Anodic Alumina Templates

The features of the morphology and magnetic properties of Ni nanowire arrays have been studied. Aluminum oxide matrices are used as a template for electrolytic deposition of nanowires. The matrices are obtained by anodizing the aluminum films with a thickness of 2 μm that are formed on glass substrates by high frequency ion sputtering. Electrochemical deposition of the metal is carried out using direct and alternating currents. Morphology and microstructure studies show that the nanowire arrays are polycrystalline and have a branched dendritic structure due to the morphological features of aluminum oxide matrices. A relationship between the magnetization reversal patterns and the modes of electrodeposition of Ni nanowire arrays is established. The process of magnetization reversal of an array of this kind of structures is simulated.