Coronary artery endothelial dysfunction is positively correlated with low density lipoprotein and inversely correlated with high density lipoprotein subclass particles measured by nuclear magnetic resonance spectroscopy.

OBJECTIVE: The association between cholesterol and endothelial dysfunction remains controversial. We tested the hypothesis that lipoprotein subclasses are associated with coronary endothelial dysfunction. METHODS AND RESULTS: Coronary endothelial function was assessed in 490 patients between November 1993 and February 2007. Fasting lipids and nuclear magnetic resonance (NMR) lipoprotein particle subclasses were measured. There were 325 females and 165 males with a mean age of 49.8+/-11.6 years. Coronary endothelial dysfunction (epicardial constriction>20% or increase in coronary blood flow<50% in response to intracoronary acetylcholine) was diagnosed in 273 patients, the majority of whom (64.5%) had microvascular dysfunction. Total cholesterol and LDL-C (low density lipoprotein cholesterol) were not associated with endothelial dysfunction. One-way analysis and multivariate methods adjusting for age, gender, diabetes, hypertension and lipid-lowering agent use were used to determine the correlation between lipoprotein subclasses and coronary endothelial dysfunction. Epicardial endothelial dysfunction was significantly correlated with total (p=0.03) and small LDLp (LDL particles) (p<0.01) and inversely correlated with total and large HDLp (high density lipoprotein particles) (p<0.01). CONCLUSIONS: Epicardial, but not microvascular, coronary endothelial dysfunction was associated directly with LDL particles and inversely with HDL particles, suggesting location-dependent impact of lipoprotein particles on the coronary circulation

Intramedullary nailing for concomitant extra-articular ulnar head fractures in distal radial fractures

Four adult female patients were treated with an intramedullary Steinmann pin for an unstable extra-articular distal ulnar fracture associated with a distal radial fracture treated with plate osteosynthesis. All showed good radiographic and functional outcomes. One patient required removal of the Steinmann pin

Fog and Dew as Potable Water Resources: Maximizing Harvesting Potential and Water Quality Concerns

Fog and dew are often viewed as economic nuisances causing significant financial losses in the transportation industry and agricultural sector. However, they are also critical components of the hydrological cycle, especially in water scarce environments. Water scarcity is one of the major threats to mankind in the 21st century, and this can be due to development pressures, pollution, and/or expanding populations. In water scarce environments, fog and dew represent potentially exploitable ancillary water resources that could ameliorate the water scarce situation, if efficiently harvested. However, two important issues are often overlooked in relation to fog and dew harvesting and potability. First, current fog and dew harvesting technologies are low yielding with great potential for improvements. Second and more importantly, the potability of these water resources is often based on simple analyses that often omit trace metal and biological analyses. The few studies that report trace metal or biological measurements suggest elevated trace metal concentrations or biological contamination that could be of concern to public health. We discuss the potential for fog and dew harvesting technologies and the need for trace metal and biological analyses of these waters before use

Case report: Significant lesion reduction and neural structural changes following ibogaine treatments for multiple sclerosis

Multiple sclerosis (MS) is a debilitating neurodegenerative disease characterized by demyelination and neuronal loss. Traditional therapies often fail to halt disease progression or reverse neurological deficits. Ibogaine, a psychoactive alkaloid, has been proposed as a potential neuroregenerative agent due to its multifaceted pharmacological profile. We present two case studies of MS patients who underwent a novel ibogaine treatment, highlighting significant neuroimaging changes and clinical improvements. Patient A demonstrated substantial lesion shrinkage and decreased Apparent Diffusion Coefficient (ADC) values, suggesting remyelination and reduced inflammation. Both patients exhibited cortical and subcortical alterations, particularly in regions associated with pain and emotional processing. These findings suggest that ibogaine may promote neuroplasticity and modulate neurocircuitry involved in MS pathology

Intramedullary screw fixation for simple displaced olecranon fractures

PURPOSE: Olecranon fractures are common and typically require surgical fixation due to displacement generated by the pull of the triceps muscle. The most common techniques for repairing olecranon fractures are tension-band wiring or plate fixation, but these methods are associated with high rates of implant-related soft-tissue irritation. Another treatment option is fixation with an intramedullary screw, but less is known about surgical results using this strategy. Thus, the purpose of this study was to report the clinical and functional outcomes of olecranon fractures treated with an intramedullary cannulated screw. METHODS: We identified 15 patients (average age at index procedure 44 years, range 16-83) with a Mayo type I or IIA olecranon fracture who were treated with an intramedullary cannulated screw at a single level 2 trauma center between 2012 and 2017. The medical record was reviewed to assess radiographic union, postoperative range of motion and complications (including hardware removal). Patient-reported outcome was evaluated using the Disabilities of the Arm, Shoulder and Hand (DASH) score. Average follow-up was 22 months (range 8-36 months). RESULTS: By the 6th month post-operative visit, 14 patients had complete union of their fracture and 1 patient had an asymptomatic non-union that did not require further intervention. Average flexion was 145° (range 135-160) and the average extension lag was 11° (range 0-30). Implants were removed in 5 patients due to soft-tissue irritation. Average DASH score (± standard deviation) by final follow-up was 16 ± 10. CONCLUSIONS: Fixation of simple olecranon fractures with an intramedullary screw is a safe and easy fixation method in young patients, leading to good functional and radiological results. Compared to available data, less hardware removal is necessary than with tension-band wiring or plate fixation

Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI linkThe threat of malware in the Internet of Things (IoT) is ever-present given that many IoT systems today rely on the Android operating system. There has been a consistent rise in Android malware recently, with new variants adopting sophisticated detection avoidance techniques, including various forms of obfuscation. Hence, there is a need to improve the effectiveness of Android malware detection as obfuscation becomes more prevalent in the wild. In this article, we present a novel approach for obfuscated malware detection in IoT Android applications based on the visualization of app executables with Markov images. The app images are trained using a convolutional neural network (CNN) to detect obfuscated malware and for the identification of the obfuscation type. We evaluate the performance of the proposed system by experimenting with four different classification models using 12000 Android applications. The CNN model created to distinguish between malware and benign apps obtained an accuracy of 99.41%. The model for identifying obfuscated malware from benign applications obtained 99.65% accuracy while the model created to identify obfuscated malware from non-obfuscated malware yielded an accuracy of 99.81%. The model for classifying obfuscated malware into 14 different obfuscation categories obtained an accuracy of 99.67%. These results show that CNN models trained from Markov images generated using application byte code can be highly effective for obfuscated malware detection and classification. Moreover, our proposed system provides a more sustainable and cost-effective method for obfuscated malware detection compared to the manual feature-engineering-based approaches that are more prevalent in the current literature

Impact of stacking faults on the luminescence of a zincblende InGaN/GaN single quantum well

In this paper, we investigate the optical properties of a zincblende InGaN single quantum well (SQW) structure containing stacking faults (SFs). Cathodoluminescence studies revealed the presence of sharp emission features adjacent to SFs, identified as quantum wires (Qwire) via their spatial anisotropy. Scanning transmission electron microscopy provided evidence of indium rich regions adjacent to SFs which intersect the QW along the [110] and [1–10] directions, whilst atom probe tomography revealed that the indium rich regions have an elongated structure, creating a Qwire. This work sheds light on the intricate relationship between SFs and Qwires in zincblende InGaN SQW structures, offering insights into the underlying mechanisms governing their optical behavior

First report on dog bite epidemiology and Rabies diagnosis in stray dogs: a one health study from Puducherry

IntroductionRabies is a fatal zoonotic disease transmitted primarily through dog bites. Monitoring bite incidence and reliable rabies diagnostic methods are crucial for effective rabies control, especially in endemic regions. So, the present study was conducted to estimate the burden of dog bite cases in humans and animals, and to confirm the presence of rabies using various diagnostic tests among dogs in Puducherry, India.Materials and methodsA regional descriptive study was done with objectives to collect the data on human and animal dog bite cases from 2020 to 2023 and 25 brain samples from dogs suspected of rabies were collected post-mortem using the foramen magnum method. Samples were tested using Lateral Flow Assay (LFA), Direct Fluorescent Antibody test (DFA), Direct Rapid Immuno-histochemistry Test (dRIT), and One-step RT-PCR. Sensitivity and specificity of these tests were compared using DFA as the gold standard to estimate the burden of rabies in stray dogs.ResultsDog bite cases in humans increased from 16,652 in 2020 to 20,063 in 2023, with December consistently reporting the highest average number of bites (1787.25 cases). Animal bite cases rose from 948 in 2022 to 1,131 in 2023, affecting dogs (56.1%), goats (30.7%), cattle (14.3%), and cats (0.9%). Of the 25 dog brain samples tested, 19 (76%) were rabies positive. LFA, dRIT, and RT-PCR demonstrated 100% sensitivity and specificity compared to DFA. Rabies cases were nearly equal in females (52.6%) and males (47.4%), with 68.4% occurring in dogs under 3 years. The highest monthly cases were observed in May and October, with Reddiarpalayam and Lawspet being the most affected regions.Discussion and conclusionThe study reveals a concerning rise in dog bite cases and confirms the utility of LFA, dRIT, and RT-PCR as reliable alternatives to DFA for rabies diagnosis. Enhanced surveillance, public awareness, and vaccination programs are essential to control rabies in Puducherry

Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science During the LAPSE-RATE Campaign

Small unmanned aircraft systems (sUAS) are rapidly transforming atmospheric research. With the advancement of the development and application of these systems, improving knowledge of best practices for accurate measurement is critical for achieving scientific goals. We present results from an intercomparison of atmospheric measurement data from the Lower Atmospheric Process Studies at Elevation—a Remotely piloted Aircraft Team Experiment (LAPSE-RATE) field campaign. We evaluate a total of 38 individual sUAS with 23 unique sensor and platform configurations using a meteorological tower for reference measurements. We assess precision, bias, and time response of sUAS measurements of temperature, humidity, pressure, wind speed, and wind direction. Most sUAS measurements show broad agreement with the reference, particularly temperature and wind speed, with mean value differences of 1.6 ± 2.6 °C and 0.22 ± 0.59 m/s for all sUAS, respectively. sUAS platform and sensor configurations were found to contribute significantly to measurement accuracy. Sensor configurations, which included proper aspiration and radiation shielding of sensors, were found to provide the most accurate thermodynamic measurements (temperature and relative humidity), whereas sonic anemometers on multirotor platforms provided the most accurate wind measurements (horizontal speed and direction). We contribute both a characterization and assessment of sUAS for measuring atmospheric parameters, and identify important challenges and opportunities for improving scientific measurements with sUAS

Sub-surface imaging of porous GaN distributed Bragg reflectors via backscattered electrons

In this article, porous GaN distributed Bragg reflectors (DBRs) were fabricated by epitaxy of undoped/doped multilayers followed by electrochemical etching. We present backscattered electron scanning electron microscopy (BSE-SEM) for sub-surface plan-view imaging, enabling efficient, non-destructive pore morphology characterization. In mesoporous GaN DBRs, BSE-SEM images the same branching pores and Voronoi-like domains as scanning transmission electron microscopy. In microporous GaN DBRs, micrographs were dominated by first porous layer features (45 nm to 108 nm sub-surface) with diffuse second layer (153 nm to 216 nm sub-surface) contributions. The optimum primary electron landing energy (LE) for image contrast and spatial resolution in a Zeiss GeminiSEM 300 was approximately 20 keV. BSE-SEM detects porosity ca. 295 nm sub-surface in an overgrown porous GaN DBR, yielding low contrast that is still first porous layer dominated. Imaging through a ca. 190 nm GaN cap improves contrast. We derived image contrast, spatial resolution, and information depth expectations from semi-empirical expressions. These theoretical studies echo our experiments as image contrast and spatial resolution can improve with higher LE, plateauing towards 30 keV. BSE-SEM is predicted to be dominated by the uppermost porous layer's uppermost region, congruent with experimental analysis. Most pertinently, information depth increases with LE, as observed