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Rate limiting step of the allosteric activation of the bacterial adhesin FimH investi...
Gianluca Interlandi

Gianluca Interlandi

January 27, 2023
The bacterial adhesin FimH is a model for the study of protein allostery because its structure has been resolved in multiple configurations, including the active and the inactive state. FimH consists of a pilin domain (PD) that anchors it to the rest of the fimbria and an allosterically regulated lectin domain (LD) that binds mannose on the surface of infected cells. Under normal conditions, the two domains are docked to each other and LD binds mannose weakly. However, in the presence of tensile force generated by shear the domains separate and conformational changes propagate across LD resulting in a stronger bond to mannose. Recently, the crystallographic structure of a variant of FimH has been resolved, called FimH FocH, where PD contains 10 mutations near the inter-domain interface. Although the X-ray structures of FimH and FimH FocH are almost identical, experimental evidence shows that FimH FocH is activated even in the absence of shear. Here, molecular dynamics simulations combined with the Jarzinski equality were used to investigate the discrepancy between the crystallographic structures and the functional assays. The results indicate that the free energy barrier of the unbinding process between LD and PD is drastically reduced in FimH FocH. Rupture of an inter-domain hydrogen bond involving R166 constitutes a rate limiting step of the domains separation process and occurs more readily in FimH FocH than FimH. In conclusion, the mutations in FimH FocH shift the equilibrium towards an equal occupancy of bound and unbound states for LD and PD by reducing a rate limiting step.
Improving the electrical performance of Lithium-ion battery using SilicaCarbon anode...
My Loan  Phung LE
Xuan My Nguyen

Loan Phung Le

and 7 more

January 27, 2023
Nowadays, a hybrid composite SiO2/C has been paid attention to improving battery performance in Li-ion batteries (LIBs) as the anode. However, this material unexpectedly suffers from initial active lithium loss caused by the solid electrolyte interface (SEI) formation leading to low initial Coulombic efficiency and significantly reducing the initial capacity. In order to solve these issues, pre-lithiation has been considered an effective approach to limit active lithium loss and increase cycling performance. This work focuses on the two most common techniques, including the direct contact method (CM) and the electrochemical method in half-cell (EM). After the pre-lithiation process, the anodes would be evaluated in full-cell with LiNi0.6Mn0.2Co0.2O2 (NMC622) cathode. According to electrochemical properties evaluations, pre-lithiation could enhance discharged capacity and initial coulombic efficiency. Without the pre-lithiation method, the discharged capacity in full-cell only witnessed 66.9 mAh.g-1, while CM and EM methods illustrated a better battery performance. In detail, EM exhibited a higher discharged capacity and initial coulombic efficiency (137.06 mAh.g-1 and 99.08%, respectively) compared to CM (99.08 mAh.g-1 and 93.23%) method. Besides, the capacity retention using EM achieved 71.4% and the discharged capacity illustrated 97.87 mAh.g-1 after 100 cycles, which is better than using CM, which only showed 71.40 mAh.g-1.
A Sub-nW 100 ppm/°C Self-Biased Voltage Reference Circuit for IOT Applications.
TARANVEER KAUR
Arvind kumar

TARANVEER KAUR

and 1 more

January 27, 2023
A sub-nW, self-biased voltage reference circuit is developed to provide bias signals for use in Internet-of-Things (IOT) applications, taking use of the sub-threshold region operation MOSFETs. Circuit is evaluated by simulation with 180nm SCL’s CMOS device parameters and 1.8 V voltage supply and from temperature -40˚C to 125˚C. Simulation shows that a temperature sensitivity of designed voltage reference is less than 100 ppm/°C. The size of the proposed design without IO pads is 30 µm × 30 µm and consumes power less than 50 nW.
The Association Between Autonomic Arousal, Emotion Regulation, Anxiety & Quality...
Chern Yi Marybeth Chang
Marieke de Vries

Chern Yi Marybeth Chang

and 4 more

January 27, 2023
Anxiety disorder is one of the most common mental health problems but why some individuals stay resilient during stressful situations whilst for others anxiety becomes so severe that it significantly affects quality of life and socialisation, is unclear. Previous research suggests that emotion regulation and autonomic arousal play a vital role in explaining why experiencing stress and anxiety leads to the onset of anxiety disorders. Hence, this study aims to investigate the association between different emotion regulation strategies (positive vs negative), autonomic functioning (heart rate variability), anxiety symptoms, psychological wellbeing, and quality of life, in young adults from the general population in Malaysia. This study aims to recruit at least 100 participants. Participants will be required to complete questionnaires which measure demographic information, emotional dysregulation, use of emotion regulation strategies, anxiety, stress, and quality of life. Participants would subsequently have their heart rate recorded continuously during a resting-state period, a picture categorisation task and post-experiment resting period. The picture categorisation task will require participants to watch emotion-inducing pictures then rate its valence and arousal. We hypothesise that there will be an increase in autonomic reactivity and a reduction in autonomic regulation (indexed by reduced vagally mediated HRV measures), which is associated with increased emotional dysregulation, increased anxiety and stress, and reduced quality of life, in young adults. Another expected hypothesis is that young adults with higher levels of anxiety will be more prone to adopt negative emotion regulation strategies and will exhibit weaker arousal regulation (reflected in reduced HRV).
Dynamic community-level metabolic modeling for fermentation kinetics and metabolic in...
Sizhe Qiu
Hong Zeng

Sizhe Qiu

and 5 more

January 26, 2023
Genome-scale metabolic models (GSMMs) and flux balance analysis (FBA) have been extensively used to model and design bacterial fermentation. However, FBA-based metabolic models designed for simulating the dynamics of co-culture with quantitative accuracy are still uncommon, which is particularly true for lactic acid bacteria (LAB) used for yogurt fermentation. To investigate metabolic interactions in yogurt starter culture of Streptococcus thermophilus (ST) and Lactobacillus delbrueckii subsp. bulgaricus (LB), this study built a dynamic community-level GSMM based on metagenomic analysis. We first assessed the accuracy of the model by comparing predicted bacterial growth, consumption of lactose and production of lactic acid with reference experimental data, and then used it to predict the impact of different initial ST:LB inoculation ratios (gDW/gDW) on acidification. The dynamic simulation demonstrated the mutual dependence of ST and LB during the yogurt fermentation process. The modeling pipeline presented in this work provided a basis for the computer-aided process design and control of the production of fermented dairy products, contributing to the development of precision fermentation in the food industry.
NiOx electrochemical sensor fabricated via electrodeposition and spin-coating
Sodam Park
Hoon Kang

Sodam Park

and 4 more

January 26, 2023
NiOx thin films were prepared on an Au substrate using the electrodeposition (ED), spin-coating (SP), and ED after SP (SP/ED) techniques to realize their application as an electrochemical sensor for the selective detection of trace substances. Results indicated that the electrodeposited films had nanoparticles formed as coarse-grain morphology, and the spin-coated films had a uniform layer with ~60 nm thickness. The thin film prepared by the SP/ED technique showed the highest electrochemical activity, and it was used to record a linear sweep voltammogram to measure the target substance, MSG and glucose, from low concentrations (2 nM) to high concentrations (200 μM). Within the range of concentrations, high R2 values of ≥0.99 were observed for both target substances, confirming that the SP/ED thin films can be used as an electrochemical sensor with high reliability.
Invasive earthworms modulate native plant trait expression and competition
Rike Schwarz
Awaiting Activation

Rike Schwarz

and 6 more

January 26, 2023
Biological invasions have major impacts on a variety of ecosystems and threaten native biodiversity. Earthworms have been absent from northern parts of North America since the last ice age, but non-native earthworms were recently introduced there and are now being spread by human activities. While past work has shown that plant communities in earthworm-invaded areas change towards a lower diversity mainly dominated by grasses, the underlying mechanisms related to changes in the biotic interactions of the plants are not well understood. Here, we used a trait-based approach to study the effect of earthworms on interspecific plant competition and aboveground herbivory. We conducted a microcosm experiment in a growth chamber with a full-factorial design using three plant species native to northern North American deciduous forests, Poa palustris (grass), Symphyotrichum laeve (herb), and Vicia americana (legume), either growing in monoculture or in a mixture of three. These plant community treatments were crossed with earthworm (presence or absence) and herbivore (presence or absence) treatments. Eight out of the eleven above- and belowground plant functional traits studied were significantly affected by earthworms, either by a general effect or in interaction with plant species identity, plant diversity level, and/or herbivore. Earthworms increased the aboveground productivity and the number of inflorescences of the grass P. palustris. Further, earthworms countervailed the increasing effect of herbivores on root tissue density of all species, and earthworms and herbivores individually increased the average root diameter of S. laeve in monoculture, but decreased it in mixture. In this study, earthworm presence gave a competitive advantage to the grass species P. palustris by inducing changes in plant functional traits. Our results suggest that invasive earthworms can alter competitive and multitrophic interactions of plants, shedding light on some of the mechanisms behind invasive earthworm-induced plant community changes in northern North America forests.
Case report: Acute Liver failure; An Unusual Complication of Dengue Fever
Hafsa Uzair
Radeyah  Waseem

Hafsa Uzair

and 4 more

January 26, 2023
Dengue is one of the most prevalent viral equatorial diseases which has recently become a major health concern globally. This case report exemplifies a case of Expanded DengueSyndrome in 29 years old male who was received by a Tertiary Care Hospital in Karachi and expired due to liver failure.
Myelodysplastic Syndrome associated with immune-mediated hemolytic anemia & immun...
Angel Insuasti Abarca

Angel Insuasti Abarca

January 26, 2023
A five-year-old spayed female Golden Retriever was presented with fever, lethargy, and pollakiuria. Labwork and Imaging inciting a diagnosis of Immune-mediated Hemolytic Anemia, Immune-mediated Thrombocytopenia, and primary Hypothyroidism. but the patient relapsed despite the treatment. A bone marrow cytology/biopsy revealed erythroid predominance and dyserythropoiesis confirming secondary myelodysplastic syndrome.
Genetic diversity of pathogenic bacteria and incidence of selected antibiotic resista...
Johnstone Neondo
Alfrick Makori

Johnstone Neondo

and 3 more

January 26, 2023
Water used in eateries is a potential reservoir for acquisition and dissemination of antibiotic resistance, and human exposure to antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in drinking water may pose an additional health risk. Antimicrobial resistome monitoring is currently not a routine standard check of drinking water by health sector in developing countries. In the present study, culture dependent and illumina sequencing techniques profiled the occurrence of rich bacterial genetic diversity and resistome conundrum in water used by eateries in selected open markets. Analyses were done using R software and QIIME2 software. Heatmap outputs exhibited the correlation contours of morphological, biochemical, antibiotic susceptibility and antibiotic resistance genes (ARG) of culturable bacteria. Results show the following prevalent genera per sampled site; Wakulima Eateries ( Acinetobacter 44.180%), Wakulima Open Market ( Duganella 28.201%), Gashororo Eateries ( Acinetobacter 15.189%), Gashororo Open Market ( Acinetobacter 30.675%) Mwerevu Eateries ( Acinetobacter 40.823%) and Mwerevu Open Markets ( Curvibacter 48.785%). The qnrD and sul2 ARGs were detected in all six samples, int1 and FloR were present in five samples while strB, catA and blaTEM were detected in single sample using qualitative PCR. These findings form critical reference data for development of bacterial pathogen surveillance toolkit in the area.
Ureteric obstruction resulting from migratory Intrauterine contraceptive device (IUCD...
Olufemi Ojewuyi
Amogu Eziyi

Olufemi Ojewuyi

and 5 more

January 26, 2023
We present an unusual case of ureteric obstruction in a young woman with migrated IUCD. Though IUCD is one of the most frequently used contraceptives, and it is generally considered safe, it is not without its own complication. However, obstructive uropathy resulting from migratory IUCD is an extremely rare complication
Dissecting unsupervised learning through hidden Markov modelling in electrophysiologi...
Laura Masaracchia
Felipe Fredes

Laura Masaracchia

and 3 more

January 26, 2023
Unsupervised, data-driven methods are commonly used in neuroscience to automatically decompose data into interpretable patterns. These patterns differ from one another depending on the assumptions of the models. How these assumptions affect specific data decompositions in practice, however, is often unclear, which hinders model applicability and interpretability. For instance, the hidden Markov model (HMM) automatically detects characteristic, recurring activity patterns (so-called states) from time series data. States are defined by a certain probability distribution, whose state-specific parameters are estimated from the data. But what specific features, from all of those that the data contain, do the states capture? That depends on the choice of probability distribution and on other model hyperparameters. Using both synthetic and real data, we aim at better characterising the behaviour of two HMM types that can be applied to electrophysiological data. Specifically, we study which differences in data features (such as frequency, amplitude or signal-to-noise ratio) are more salient to the models and therefore more likely to drive the state decomposition. Overall, we aim at providing guidance for an appropriate use of this type of analysis on one or two-channel neural electrophysiological data, and an informed interpretation of its results given the characteristics of the data and the purpose of the analysis.
Bacteria Diversity Within Honey Bees of Embu County Kenya
James Njoroge
moses njire

james njoroge

and 5 more

January 26, 2023
In Kenya, small-scale farmers are increasingly turning to honeybee keeping to supplement their income. The decline of the honeybee population in Kenya has raised concerns following the important economic and ecological role played by the honeybees. By assessing microbial diversity associated with honeybees in Embu County, Kenya, we sought to determine the colony microbial composition of bees using culture-independent sequencing. Honeybee-associated microbial community in the hive materials was dominated by Lactobacillus, Leuconostoc, Fructobacillus, Bacillus, Gilliamella, Frischella, Enterobacter, Bombella and Serratia across the sampling environment. Across the sample types adult worker bees lacked the Lactococcus genus but had the other phylotypes consistently similar to those in the larvae samples. We report a potential disruption of the microbial bacteria community signified by the presence of genera Serratia and Enterobacter, which are opportunistic environmental microorganisms.
Quantifying regional-scale impacts of hemlock woolly adelgid invasion on North Americ...
Bruna Rodrigues do Amaral
Andrew Wilson

Bruna Rodrigues do Amaral

and 3 more

January 26, 2023
Humans significantly influence geographic patterns of biological invasions, creating conditions for species to overcome biogeographic barriers and colonize new areas. In the eastern United States, forested landscapes containing eastern hemlock (Tsuga canadensis) are under threat by the invasive hemlock woolly adelgid (Adelges tsugae). Although several studies have shown the negative effects of adelgid invasion in local bird communities, its regional impacts have not yet been quantified. Using broad-scale spatial (entire eastern US range of hemlock) and temporal (>40 years of bird monitoring data) databases, we built spatial auto-regressive generalized mixed linear models to estimate immediate and long-term population effects of adelgid infestation on population trends of fourteen bird species. We also determined how winter temperature interacted with adelgid infestation to affect population trends. We selected the best models using WAIC, and validated model performance and power using Monte Carlo simulation, permutation tests, and sensitivity analysis. For all but one species, the best model included the effects of adelgid infestation on abundance trends. We observed a > 30% decline for two hemlock-associates species after infestation: the Blackburnian warbler, and the Hermit thrush. Declines were greater in the warmest part of their ranges. In contrast, no control species showed similar declines. Our results demonstrate that birds locally associated with hemlock habitat, when evaluated at a broad spatiotemporal scale, also decline in abundance following infestation. At the same time, declines are not universal and are dampened as compared to local studies suggesting that spatial heterogeneity buffers demographic decline. We also found that cold winters are associated with smaller bird population declines, suggesting that rising winter temperatures due to climate change might remove this environmental barrier. Despite the difficulties of understanding and connecting landscape-scale processes with those at finer scales, it is critical to evaluate processes that govern biodiversity distribution from a regional perspective.
Deciphering the role of PE_PGRS45 (Rv2615c) protein of Mycobacterium tuberculosis in...
Monika Sharma
* Medha

Monika Sharma

and 3 more

January 26, 2023
Mycobacterium tuberculosis has co-evolved with its host to evade and modulate host cellular processes. Few PE/PPE proteins of Mycobacterium have been reported to modulate cell death pathways and determine the infection outcome. This study investigates role of one such uncharacterized protein PE_PGRS45/Rv2615c in host cell death and immuno-modulation. In-silico analysis predicted similarity of Rv2615c with APAF1-apoptosome and involvement in Cysteine-type endo-peptidase activation during apoptosis. In-vitro experiments with THP-1 macrophages confirmed the Caspase-dependent apoptosis inducing potential of Rv2615c. Several PE_PGRS proteins have been reported to be TLR-agonist. Docking showed preferential binding of Rv2615c with TLR4 than TLR2. Up-regulation of TLR4-HLA-DR-MyD88-NF-ƙB-TNF‐α in Rv2615c-stimulated THP-1 macrophages was observed. To investigate the mechanism underpinning the apoptotic function, a thorough sequence scan of Rv2615c revealed the presence of eukaryotic CARD-like domain in it. In-silico studies showed binding affinity of Rv2615c’s CARD-like domain with APAF1-CARD and Caspase9-CARD, attributing Rv2615c’s role in apoptosis. Since, Rv2615c is reported to be upregulated in dormancy which suggest that it may be one of the unexplored effectors employed by Mtb for its persistence via silent cell-to-cell spread of infection by inducing macrophage apoptosis. Additionally, Rv2615c’s interaction with TLR4 implicates its engagement in host-pathogen interaction.
Association of demographic characteristics, aggravating factors, comorbidities and tr...
Jiahui Zhao
Zhixin Zhang

Jiahui Zhao

and 7 more

January 26, 2023
Background: Atopic dermatitis (AD) is one of the most prevalent chronic inflammatory skin disorders that causes great disease burdens world-wide. The demographics and clinical characteristics of AD are different between countries, regions, and age groups yet these differences were not well characterized in China. To get well guidance for AD clinicians, we described the demographics, clinical characteristics, comorbidities, patient-identified aggravating factors and treatment of AD in all-age patients in China. Methods: This study included Chinese individuals diagnosed with AD by accredited clinicians in the department of dermatology of 205 hospitals from 31/34 provincial administrative divisions across China during August, 2021 to September, 2022. All included patients completed dermatologist-lead interviews regarding their general medical history, comorbidities, AD-related aggravating factors and medications. Two-level mixed ordered logistic regression was used to evaluate factors for aggravation of the disease. Results: Overall, 16838 respondents were included in the final analysis with a mean age of 30.94 years (standard deviation, ± 24.08 years). The proportion of patients with severe AD was the highest in patients with onset of AD at ≥60 years old (26.73%). Allergic rhinitis and hypertension were the most common atopic and non-atopic comorbidities, respectively. AD severity was significantly associated with chronic urticaria, food allergy and diabetes. There was a high proportion of severe AD in patients who had aggravating factors such as seafood, lamb and beef, chili peppers, alcohol, seasonal changes, and psychological factors. Cross-sectional survey revealed unmet needs of severe AD in treatment strategy, in lack of immunosuppressants’ and biological agents’ application. Conclusion: Treatment of comorbidities and control of aggravating factors significantly contribute to AD management. Improving systemic immunotherapy could reduce the incidence of severe AD.
Epicutaneous immunotherapy as a new hope for canine atopic dermatitis: a proof-of-con...
Marta Sofia das Neves Pinto
Joana Marques Marto

Marta Sofia das Neves Pinto

and 10 more

January 26, 2023
Background – Allergen immunotherapy is a well-established treatment for canine atopic dermatitis (CAD), but non-invasive, safe, effective, and easy-to-use home-administration routes that promote owner’s compliance are needed. Epicutaneous immunotherapy (EPIT) has been suggested as a promising alternative treatment for human allergies. This study primarily evaluated EPIT’s feasibility, effectiveness, and safety for CAD. Methods – Sixteen client-owned dogs with spontaneous, nonseasonal, mite-sensitive CAD were enrolled for a 6-month, once-weekly, 12-hour EPIT. A costume-made 3D-printed device was designed to deliver the allergen-based formulation. Primary efficacy outcomes included the owner’s assessed pruritus (PVAS10) and treatment efficacy (OGATE), and veterinarian-assessed skin lesions (2D-IGA). Secondary efficacy outcomes were the quality-of-life (QoL) and serological allergen-specific IgE’s concentrations. Effectiveness was defined by the success of the primary efficacy outcomes, according to the ICADA’s COSCAD’18 recommendations. EPIT was deemed safe in the absence of severe side-effects. Results – EPIT effectively improved clinical condition, with a success rate of 73.3% for pruritus, 66.7% for skin lesions, and 93.3% for QoL. A good-to-excellent response to EPIT was rated by 93.3% of owners in OGATE. EPIT significantly improved PVAS10 (p=0.000015), 2D-IGA (p=0.006) and QoL (p=0.000014) scores over six months. A significant difference was evident within one month for PVAS10 (p=0.003) and 2D-IGA (p=0.009) scores. Seven dogs partially desensitised to at least one mite and two fully desensitised to all mites after six months. Severe adverse events were not recorded. Conclusions – This pioneer study emphasises EPIT’s potential as a novel and promising, non-invasive, feasible, effective, safe, and well-tolerated CAD treatment, supporting further investigation.
Direct cleavage and activation of gasdermin B by asthma trigger allergens
Quan Lu
Ronald Allan M. Panganiban

Quan Lu

and 2 more

January 26, 2023
Direct cleavage and activation of gasdermin B by asthma trigger allergensTo the Editor:Recent fine-mapping studies have pointed to gasdermn B (GSDMB ) as a potential asthma susceptibility gene in 17q21 locus, the strongest and most highly replicated signal in genome-wide association studies1. The GSDMB protein is a member of the gasdermin family that, when cleaved, triggers an inflammatory cell death known as pyroptosis2. Caspase-1 and granzyme A have been shown to cut GSDMB at specific sites to release the N-terminal fragment of the protein (GSDMB-NT) that has the ability to induce pyroptosis in cells, including airway epithelial cells3,4. These findings suggest that the role of GSDMB in asthma lies in its ability to be activated through cleavage to induce pyroptosis; however, it remains unclear whether GSDMB cleavage and activation occur in the context of asthma.Common asthma trigger allergens often possess protease activities that cause airway epithelial injury and inflammation5,6. We thus tested whether the allergens directly cleave GSDMB. Incubation of extracts from house dust mite (HDM), a common asthma trigger, with lysates from human bronchial epithelial cells, which express endogenous GSDMB3, resulted in GSDMB cleavage as evidenced by the appearance of a smaller protein around 17kD (Figure 1A). Since the GSDMB antibody used in the Western blotting targets the C-terminus of the protein, the 17kD protein band likely represents the C-terminal GSDMB fragment. Such GSDMB cleavage was also observed when lysates from cells expressing C-terminal-FLAG-tagged GSDMB were mixed with HDM extract (Figure 1B). Furthermore, mold or cockroach extract also cleaved tagged GSDMB (Figure 1C). The cleavage of GSDMB protein by all allergen extracts resulted in a single product of similar size (about 17 kD), suggesting a specific cutting site.To identify the cleavage site, we incubated recombinant full-length GSDMB with HDM extract and resolved the cleaved protein products on SDS-PAGE (Figure 1D). We excised the putative 17 kD C-terminal fragment (GSDMB-CT, Figure 1D) and determined the N-terminal amino acid sequence of the fragment via Edman sequencing (Supplemental Figure S1, Figure 1E). Despite some ambiguities, the first ten amino acid residues of the 17 kD GSDMB-CT largely map to position 245 to 254 (SLGSEDSRNM) of the full length GSDMB protein (Figure 1E). This result indicates that GSDMB was cleaved immediately after the lysine residue at position 244 (K244). Interestingly, granzyme A also cuts GSDMB at the same K244 site4. To confirm K244 as the site of cleavage, we mutated lysine 244 to alanine (K244A) in GSDMB and tested whether the mutant protein can be cleaved by HDM. As shown by Western blotting, HDM was able to cleave wild type (WT) GSDMB but failed to cleave K244A GSDMB as evidenced by the absence of the 17 kD fragment (Figure 1F).The cleavage of GSDMB by HDM is expected to release an N-terminal fragment of 244 amino acids (GSDMB-NT-K244) (Figure 2A). We next tested whether GSDMB-NT-K244 triggers pyroptosis. Transfection of GSDMB-NT-K244 induced cell morphological changes characteristic of pyroptosis, including rounding up and detachment (Figure 2B). LDH release assay confirmed increased toxicity in these cells (~3.4 fold) as compared to cells transfected with the full-length GSDMB (Figure 2C). Consistent with our previous finding on GSDMB-NT shortened by a functional asthma-associated splice variant3, transfection of a truncated GSDMB-NT from the variant (NT-K231var) did not induce pyroptosis (Figure 2B,C).While future studies are needed to identify the specific proteases within the allergen extracts that cleave GSDMB, our current study demonstrates that asthma triggers such as HDM can directly cleave and activate GSDMB, thus providing biochemical evidence linking GSDMB-mediated pyroptosis to asthma.
Enhancing Power Quality in Microgrids with Hybrid Tuna-Glowworm Swarm Optimization St...
Babita Nanda
Ranjan Kumar Jena

Babita Nanda

and 2 more

January 26, 2023
The adoption of Microgrids (MGs) assists in evolving the power grid into a more effective, flexible, minimized losses, and less polluted solution for offering the necessities and acquirements of energy consumers. Diverse Renewable Energy Sources (RESs) are incorporated into the MGs owing to their characteristics including the inability and variability for precisely controlling and predicting the created various technical issues. The essential issue in MGs that needs to be handled is achieving the essential Power Quality (PQ) regarding the stabilization in voltages and distortions in harmonic levels. Thus, various types of equipment are recommended for enhancing the challenges regarding the uncertainty in sources and nonlinearity in loads. To mitigate the PQ issue in MGs, a new hybrid meta-heuristic algorithm called Hybrid Tuna-Glow worm Swarm Optimization (HT-GWSO) is suggested in this research work. It is implemented with the integration of both Tuna Swarm Optimization (TSO) and Glowworm Swarm Optimization (GSO) algorithms, where the controller parameters are tuned by HT-GWSO. It focuses on enhancing the PQ by differing active power with reactive power. The objective as the minimization of error function along with reducing the power variants is considered here.
Perioperative Echocardiography Training: A Role for Ultra-high Resolution Three-dimen...
Paul Iazzio
Susana Arango

Paul Iaizzo

and 4 more

January 25, 2023
Echocardiography is essential for diagnosing and assessing the severity of perioperative structural and/or functional heart disease. Yet, educational opportunities to better understand echocardiography-based cardiac anatomy remain limited by the two-dimensional display, lack of anatomic details, variability of heart models, and/or costs and global availability of training. 3D printing using data from patient CT or MRI datasets has been used for creating effective teaching materials, although often it is limited by the resolutions. In this report, we discuss the development of ultra-high resolution 3D printed human hearts using ex vivo microcomputed tomography (μCT) and describe its utility for teaching both basic and advanced recommended views by the American Society of Echocardiography.
Filling the Holes of a Swiss Cheese Atrial Septal Defect: A Case Report and Review of...
Andrew S. Kao
Shaun Cardozo

Andrew S. Kao

and 1 more

January 25, 2023
Swiss cheese atrial septal defect (ASD) is a structural finding of the heart used to characterize multiple or fenestrated interatrial defects found in approximately 10% of patients with ASD. 1 Presence of an aneurysm in the atrial septum is an additional malformation associated with fenestrated ASD that further increases the risk of arrhythmia and thromboembolic events. 1-2 Detailed anatomy of the interatrial septum through 2D and 3D imaging serves as diagnostic and therapeutic guidance. 3 We describe a case of Swiss Cheese ASD complicated with an atrial septal aneurysm successfully repaired with a Cribriform Amplatzer Septal Occluder (ASO) via percutaneous transcatheter approach.
   Microbial diversity and abundance vary along salinity, oxygen and particle size...
Jacob Cram
Ashley Hollins

Jacob Cram

and 6 more

February 09, 2023
A document by Jacob Cram. Click on the document to view its contents.
Pseudo-infarction electrocardiographic changes in delayed onset hypoparathyroidism: a...
Han Bing Chow
Caryn Tsujean Lim

Han Bing Chow

and 6 more

January 25, 2023
Pseudo-infarction electrocardiographic changes associated with hypokalemia and hypocalcemia is rare. A 76-year-old lady with previous total thyroidectomy presented with unspecific symptoms. Electrocardiogram demonstrated ST-elevation. She was found to have hypokalemia and hypocalcemia associated with delayed onset hypoparathyroidism. This may suggest possible etiologies like coronary vasospasm and catecholamine-associated myocardial injury.
Application of Hybrid Neural Models to Bioprocesses: A Systematic Literature Review
Roshanak Agharafeie
Rui Oliveira

Roshanak Agharafeie

and 3 more

February 03, 2023
Due to the complexity of biological processes, developing model-based strategies for monitoring, optimization and control is nontrivial. Hybrid neural models, combining mechanistic modeling with artificial neural networks, have been reported as powerful tools for bioprocess applications. In this paper, a systematic literature review is presented focused on the application of hybrid neural models to bioprocesses by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) over the last 30 years. This analysis showed that hybrid neural modeling has covered a wide range of microbial processes, animal cells, mixed microbial cultures, and enzyme biocatalysis. Hybrid neural models have been mainly applied for predictive modeling/process analysis, process monitoring/software sensors, open- and closed-loop control, batch-to-batch control, model predictive control, intensified design of experiments, process analytical technology, quality-by-design, and more recently, digital twins. Hybrid modeling experienced a decline in the number of publications after a peak in 2004 and is now surging again. A “model scale” research gap was identified, which will likely narrow by a better integration with deep learning and systems biology in the near future. The biopharma sector is currently a major driver but applications to biologics quality attributes (e.g. glycosylation), new modalities and downstream unit operations are significant research gaps.
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