Dual-band Air-Ground Radio Performance: Example Flight Test Results

We recently concluded a four-year University Leadership Initiative (ULI) project sponsored by NASA, which investigated multiple aviation communications technology areas aimed at enhancing future aviation safety. These areas were dual-band air-ground communications for air traffic management, detection and interdiction of small drones, and high-capacity terrestrial airport communications networking. In this paper we report on flight test results of our dual-band radios. These radios were designed to use a spectrally efficient multi-carrier modulation, filterbank multicarrier (FBMC), which we had previously shown to improve resilience to high-power distance measurement equipment (DME) adjacent-channel interference, in comparison to existing orthogonal frequency division multiplexing (OFDM) schemes. In our NASA project, we designed the FBMC radios to extend performance even further, using the following techniques: (i) simultaneous dual-band transmission and reception;(ii) ground station (GS) spatial diversity;(iii) higher-order modulation for a factor of 5 capacity increase over QPSK;(iv) a Doppler-resilient option using a smaller number of subcarriers;and, (v) 5-MHz bandwidth C-band transmissions for an order of magnitude capacity increase over existing 500-kHz channel schemes. To our knowledge, these are novel achievements for civil aviation, and our flight test results attained a technology readiness level (TRL) of 5. In this paper we briefly describe the project history, in which we spent approximately one year working with Boeing to participate in one of their Eco-Demonstrator flight trials, and obtained special temporary authorizations to transmit in both the L-band and C-band, from the FAA, the FCC, and the DoD. When COVID-19 dispersed worldwide, Boeing was no longer able to support us, so we revised our plans and teamed with the South Carolina Civil Air Patrol (SC CAP) to conduct smaller-scale flight tests. This paper summarizes the radio designs and the novel features we employed, as well as analyses, computer simulations, and laboratory tests prior to terrestrial mobile testing, all of which culminated in our successful flight tests. We show example flight test results that serve as proof of concept for all the five aforementioned radio performance enhancements. Example results include signal-to-noise ratio and bit error ratio, diversity gains, and throughput gains through both higher-order modulation and wider bandwidth channels. We also report on some lessons learned, and some ideas for future advancement of our work. © 2023 IEEE.

Gut Microbiota in Coronavirus Disease 2019

Coronavirus disease 2019 (COVID-19) pandemic has changed the globe ever since its first appearance in December 2019. It is an acute respiratory illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and over 540 million people have contracted COVID-19 as of mid-2022. For COVID-19 patients, gastrointestinal symptoms including anorexia and diarrhoea are frequently occurred, implicating the involvement of gut microbiota in the pathogenesis of COVID-19. Indeed, accumulating evidence has reported the association of altered microbiota with SARS-CoV-2 infection, disease severity, and post-acute COVID-19 syndrome. In this chapter, the roles of gut microbiota in COVID-19 as well as its mechanistic interplays with host after SARS-CoV-2 infection are explored. Given its importance to this disease, approaches to restore the altered microbiota may be utilised as potential treatments of COVID-19. Hence, different strategies to modulate the microbiota including dietary intervention, prebiotics, and probiotics against SARS-CoV-2 infection are also discussed. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Watching with Argus eyes: Characterization of emotional and physiological responding in adults exposed to childhood maltreatment and/or recent adversity.

Exposure to adverse experiences is a well-established major risk factor for affective psychopathology. The vulnerability of deleterious sequelae is assumed in maladaptive processes of the defensive system, particularly in emotional processing. More specifically, childhood maltreatment has been suggested to be associated with the recruitment of specific and distinct defensive response profiles. To date, it remains unclear whether these are specific or generalizable to recent adversity in adulthood. This pre-registered study aimed to investigate the impact of exposure to childhood and recent adversity on emotional processing in 685 healthy adults with the "Affective Startle Modulation" Paradigm (ASM). First, we replicated higher trait anxiety and depression levels in individuals exposed to both types of adversity. Second, we observed increased general skin conductance reactivity in individuals exposed to recent adversity. Third, individuals exposed to childhood maltreatment showed reduced, while individuals exposed to recent adversity showed increased discrimination between pictures of negative and neutral valence, compared with non-exposed individuals in SCR. No association between exposure to adversity and fear potentiated startle was observed. Furthermore, explorative analyses revealed moderate dimensional and categorical agreement between two childhood maltreatment questionnaires and provide insight into potential adversity-type specific effects. Our results support experience-dependent plasticity in sympathetic nervous system reactivity and suggest distinct response profiles in affective modulation in individuals exposed to early versus recent adversity. We emphasize the need to further explore distinct adversity profiles to further our understanding on specific psychophysiological profiles and their potential implication for prevention and intervention.

A Biological Approach to Building Resilience and Wellness Capacity Among Police Exposed to Posttraumatic Stress Injuries: Protocol for a Randomized Controlled Trial.

BACKGROUND: Law enforcement officers are routinely exposed to hazardous, disturbing events that can impose severe stress and long-term psychological trauma. As a result, police and other public safety personnel (PSP) are at increased risk of developing posttraumatic stress injuries (PTSIs) and disruptions to the autonomic nervous system (ANS). ANS functioning can be objectively and noninvasively measured by heart rate (HR), heart rate variability (HRV), and respiratory sinus arrhythmia (RSA). Traditional interventions aimed at building resilience among PSP have not adequately addressed the physiological ANS dysregulations that lead to mental and physical health conditions, as well as burnout and fatigue following potential psychological trauma. OBJECTIVE: In this study, we will investigate the efficacy of a web-based Autonomic Modulation Training (AMT) intervention on the following outcomes: (1) reducing self-reported symptoms of PTSI, (2) strengthening ANS physiological resilience and wellness capacity, and (3) exploring how sex and gender are related to baseline differences in psychological and biological PTSI symptoms and response to the AMT intervention. METHODS: The study is comprised of 2 phases. Phase 1 involves the development of the web-based AMT intervention, which includes 1 session of baseline survey measures, 6 weekly sessions that integrate HRV biofeedback (HRVBF) training with meta-cognitive skill practice, and 1 session of follow-up survey measures. Phase 2 will use a cluster randomized control design to test the effectiveness of AMT on the following prepost outcomes: (1) self-report symptoms of PTSI and other wellness measures; (2) physiological indicators of health and resilience including resting HR, HRV, and RSA; and (3) the influence of sex and gender on other outcomes. Participants will be recruited for an 8-week study across Canada in rolling cohorts. RESULTS: The study received grant funding in March 2020 and ethics approval in February 2021. Due to delays related to COVID-19, phase 1 was completed in December 2022, and phase 2 pilot testing began in February 2023. Cohorts of 10 participants in the experimental (AMT) and control (prepost assessment only) groups will continue until a total of 250 participants are tested. Data collection from all phases is expected to conclude in December 2025 but may be extended until the intended sample size is reached. Quantitative analyses of psychological and physiological data will be conducted in conjunction with expert coinvestigators. CONCLUSIONS: There is an urgent need to provide police and PSP with effective training that improves physical and psychological functioning. Given that help-seeking for PTSI is reduced among these occupational groups, AMT is a promising intervention that can be completed in the privacy of one's home. Importantly, AMT is a novel program that uniquely addresses the underlying physiological mechanisms that support resilience and wellness promotion and is tailored to the occupational demands of PSP. TRIAL REGISTRATION: ClinicalTrials.gov NCT05521360; https://clinicaltrials.gov/ct2/show/NCT05521360. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/33492.

Tuning of controller parameters for suppressing low frequency oscillations in electric railway traction networks using meta-heuristic algorithms

Due to the interaction of electric multiple units (EMUs), and the electric traction networks, low frequency oscillations (LFOs) appear leading to traction blockade and overall stability related issues. For suppressing LFOs, coronavirus herd immunity optimiser (CHIO), a recently developed meta-heuristic, has been applied for tuning controller parameters. Controller parameters are tuned to minimise the integral time absolute error (ITAE) that regulates DC-link capacitor voltage. Results obtained using CHIO are compared with those found using other well-established algorithms like symbiotic organisms search (SOS) and particle swarm optimisation (PSO). The supremacy of CHIO over other mentioned algorithms for mitigating LFOs was demonstrated for a diverse range of operating conditions. Results demonstrates that overshoot for the proposed algorithm-based traction unit is 1.0061% whereas those for SOS and PSO based algorithm are obtained as 6.4542 % and 20.6166%, respectively which are quite high. CHIO is more stable than SOS and PSO and requires settling time of 0.1934 s only to reach steady-state condition, which is 50.21% faster than SOS and 65.03% faster than PSO. Also, the total harmonic distortion (THD) for line currents of the secondary side of traction transformer (TT) are obtained as 0.88%, 2.17%, and 12.48% for CHIO, SOS, and PSO, respectively.

Parasitology and Covid-19: epidemiological, immunological, pathological, and therapeutic aspects

Studies suggest that there is a complex interaction between parasitic infections, human microbiota, and host immunity. Reports have shown that there is the prevalence of viral diseases have inverse correlations with their severities (as is the case for Covid-19), their resulting mortalities, and helminth infections in endemic areas. This review study was conducted to discover the possible association between parasitic infections and Covid-19 epidemics from immunological, pathological, and therapeutic aspects. Our studies were conducted by reviewing texts, reports, and articles on reputable websites such as PubMed, Science Direct, medRxvi, Google Scholar, and bioRxiv published by 2022 07 April for keywords such as a parasite, helminth, radioactive, COVID-19 or SARS-CoV-2. In particular, reports of co-infection with helminths with complications and severity of Covid-19 in endemic areas were considered. The findings indicate that parasitic helminths can regulate host immune responses associated with a viral infection. For example, intestinal parasitic infections may be effective in reducing the symptoms of SARS-CoV-2 and the complications of Covid-19. Infected hosts can induce an innate and Th2-compatible immune response to CD4+ T cells, eosinophils, and interleukins (IL-4, IL-5, and IL-10). Chronic helminth infections prevent strong immune responses by altering the host response to T helper 2 (Th2). Interestingly, some antimalarial drugs, such as Artemisinin-based combination therapies (ACTs), may inhibit SARS-CoV-2-induced severe acute respiratory syndrome (SARS). Parasitic infections may alter the host's immune response to SARS-CoV-2 with potentially beneficial or detrimental effects. However, more large-scale epidemiological studies are needed to uncover the links between parasitic infections and COVID-19 and to clarify existing ambiguities.

COVID-19 Detection via Fusion of Modulation Spectrum and Linear Prediction Speech Features

The coronavirus disease 2019 (COVID-19) pandemic has drastically impacted life around the globe. As life returns to pre-pandemic routines, COVID-19 testing has become a key component, assuring that travellers and citizens are free from the disease. Conventional tests can be expensive, time-consuming (results can take up to 48h), and require laboratory testing. Rapid antigen testing, in turn, can generate results within 15-30 minutes and can be done at home, but research shows they achieve very poor sensitivity rates. In this paper, we propose an alternative test based on speech signals recorded at home with a portable device. It has been well-documented that the virus affects many of the speech production systems (e.g., lungs, larynx, and articulators). As such, we propose the use of new modulation spectral features and linear prediction analysis to characterize these changes and design a two-stage COVID-19 prediction system by fusing the proposed features. Experiments with three COVID-19 speech datasets (CSS, DiCOVA2, and Cambridge subset) show that the two-stage feature fusion system outperforms the benchmark systems of CSS and Cambridge datasets while maintaining lower complexity compared to DL-based systems. Furthermore, the two-stage system demonstrates higher generalizability to unseen conditions in a cross-dataset testing evaluation scheme. The generalizability and interpretability of our proposed system demonstrate the potential for accessible, low-cost, at-home COVID-19 testing. IEEE

Oxidation and "Unconventional” Approaches to Infection

Nonpharmacological approaches can be useful to control infectious diseases. Historically infection has been successfully managed with oxidation therapy methods that support the body's own innate defenses. Several modalities include ozone and hyperbaric oxygen therapy, ultraviolet blood irradiation (UBI), intravenous hydrogen peroxide, and ascorbate therapies. Oxidation therapies are virtually 100% safe, and repeatedly reported as highly and quickly effective in quelling infection (bacterial and viral) either as stand-alone therapies or adjunctive with drugs. They are directly and indirectly germicidal, and modulate the immune system via pro-oxidant signaling molecules. Oxidation therapies especially enhance oxygen delivery and metabolism, critical for all infection defenses. Ozone has remitted Ebola, COVID-19, and bacterial infections. UBI defeated most preantibiotic era infections in hospitals. Not being drug therapy, the effects of oxidation defenses, used by planetary animal life for millions of years, are not diminished by antibiotic-resistant organisms. Oxidation, depending on delivery method, can be very inexpensive and third world adaptable. This chapter summarizes the use of these key modalities, by exploring known published literature. © 2022 Elsevier Inc. All rights reserved.

C-Reactive Protein (CRP): A Potent Inflammation Biomarker in Psychiatric Disorders.

An increasing number of studies have investigated the role of inflammation in psychiatric disorders, by demonstrating how an altered/dysfunctional immunological and inflammatory system may underpin a psychiatric condition. Particularly, several studies specifically investigated the role of a neuroinflammatory biomarker, named C-reactive protein (CRP), in psychiatric disorders. Overall, even though scientific literature so far published still does not appear definitive, CRP is more likely reported to be elevated in several psychiatric disorders, including schizophrenia, mood disorders, anxiety disorders and post-traumatic stress disorder. Moreover, a low-grade inflammation (CRP >3 mg/L) has been more likely observed in a subgroup of patients affected with a more severe psychopathological symptomatology, more treatment resistance and worst clinical mental illness course, strengthening the hypothesis of the need for a different clinical and prognostic characterization based on this concomitant neuroinflammatory predisposition. However, even though further research studies are needed to confirm this preliminary evidence, CRP may represent a potential clinical routine biomarker which could be integrated in the clinical routine practice to better characterize clinical picture and course as well as address clinicians towards a personalized treatment.

Role of gut microbiota in infectious and inflammatory diseases.

Thousands of microorganisms compose the human gut microbiota, fighting pathogens in infectious diseases and inhibiting or inducing inflammation in different immunological contexts. The gut microbiome is a dynamic and complex ecosystem that helps in the proliferation, growth, and differentiation of epithelial and immune cells to maintain intestinal homeostasis. Disorders that cause alteration of this microbiota lead to an imbalance in the host's immune regulation. Growing evidence supports that the gut microbial community is associated with the development and progression of different infectious and inflammatory diseases. Therefore, understanding the interaction between intestinal microbiota and the modulation of the host's immune system is fundamental to understanding the mechanisms involved in different pathologies, as well as for the search of new treatments. Here we review the main gut bacteria capable of impacting the immune response in different pathologies and we discuss the mechanisms by which this interaction between the immune system and the microbiota can alter disease outcomes.

Beneficial Effects of Melatonin on Periodontitis Management: Far More Than Oral Cavity.

Periodontitis as a highly prevalent chronic infection/inflammatory disease can eventually lead to tooth loss and masticatory dysfunction. It also has a negative impact on general health and largely impairs quality of life. The tissue destruction during periodontitis is mainly caused by the excessive immune-inflammatory response; hence, how to modulate the host's reaction is of profound importance for effective periodontal treatment and tissue protection. Melatonin, as an endogenous hormone exhibiting multiple biological functions such as circadian rhythm regulation, antioxidant, and anti-inflammation, has been widely used in general healthcare. Notably, the past few years have witnessed increasing evidence for the application of melatonin as an adjunctive approach in the treatment of periodontitis and periodontitis-related systemic comorbidities. The detailed underlying mechanisms and more verification from clinical practice are still lacking, however, and further investigations are highly required. Importantly, it is essential to establish standard guidelines in the near future for the clinical administration of melatonin for periodontal health and general wellbeing.

Low-Dose Chest CT Protocols for Imaging COVID-19 Pneumonia: Technique Parameters and Radiation Dose.

Chest computed tomography (CT) plays a vital role in the early diagnosis, treatment, and follow-up of COVID-19 pneumonia during the pandemic. However, this raises concerns about excessive exposure to ionizing radiation. This study aimed to survey radiation doses in low-dose chest CT (LDCT) and ultra-low-dose chest CT (ULD) protocols used for imaging COVID-19 pneumonia relative to standard CT (STD) protocols so that the best possible practice and dose reduction techniques could be recommended. A total of 564 articles were identified by searching major scientific databases, including ISI Web of Science, Scopus, and PubMed. After evaluating the content and applying the inclusion criteria to technical factors and radiation dose metrics relevant to the LDCT protocols used for imaging COVID-19 patients, data from ten articles were extracted and analyzed. Technique factors that affect the application of LDCT and ULD are discussed, including tube current (mA), peak tube voltage (kVp), pitch factor, and iterative reconstruction (IR) algorithms. The CTDIvol values for the STD, LDCT, and ULD chest CT protocols ranged from 2.79-13.2 mGy, 0.90-4.40 mGy, and 0.20-0.28 mGy, respectively. The effective dose (ED) values for STD, LDCT, and ULD chest CT protocols ranged from 1.66-6.60 mSv, 0.50-0.80 mGy, and 0.39-0.64 mSv, respectively. Compared with the standard (STD), LDCT reduced the dose reduction by a factor of 2-4, whereas ULD reduced the dose reduction by a factor of 8-13. These dose reductions were achieved by applying scan parameters and techniques such as iterative reconstructions, ultra-long pitches, and fast spectral shaping with a tin filter. Using LDCT, the cumulative radiation dose of serial CT examinations during the acute period of COVID-19 may have been inferior or equivalent to that of conventional CT.

Antiviral Potential of Coconut (Cocos nucifera L.) Oil and COVID-19

Background: COVID-19 caused by the novel SARS Coronavirus-2 (SARS-CoV-2) is causing serious problems in the global public health sphere. In the absence of a powerful antiviral treatment, the exploration of plant-based products with antiviral potential has gained interest. Scope and Approach: This commentary presents the prospects of utilizing coconut oil directly or its derivatives such as monolaurin in treating COVID-19 with a special emphasis on their biochemical characteristics features. The potential pitfalls therein and way forward are also highlighted. Key findings and conclusions: There are enough research-backed evidences to demonstrate the antiviral capabilities of coconut oil and monolaurin. The possibility of developing a medium-chain fatty acidbased nasal spray as a prophylactic or therapeutic is also discussed. Nevertheless, the potential impediments in devising suitable therapeutic models to treat SARS-CoV-2, are presented.Copyright © 2021 Bentham Science Publishers.

Sex differences in the neuroimmune modulation of learning and memory

The neuroimmune system is a specialized immune system in the brain crucial for both responding to illness and injury as well as regulating normal neural function and behavior. As such, it is perhaps not surprising that activation of the neuroimmune system results in significant impairments in synaptic plasticity and learning and memory mechanisms. In fact, neuroimmune dysregulation has been implicated in memory- and cognitive-related disorders including Alzheimer's disease, Post-Traumatic Stress disorder, and most recently long-COVID, a series of long-lasting cognitive impairments caused by the virus SARS-CoV-2. There are known sex differences in the neuroimmune response to various pathogens, and because the neuroimmune system is at the convergence of pathological and normal function, the immune cells and signaling mechanisms involved are well-poised to modulate memory processes differently in males and females which may contribute to sex differences in the prevalence or severity of memory-related disorders. Here, we aimed to investigate the interaction of neuroimmune and memory processes in both males and females using central administration of a viral mimic, polyinosinic:polycytidylic acid (poly I:C), in C57BL/6N mice. Poly I:C is synthetic, double-stranded RNA that stimulates several cell types involved in mounting an immune response in the brain including astrocytes, microglia, and neurons, making it an excellent tool for studying broad-based neuroinflammation. Poly I:C treatment induced significant inflammation in the hippocampus of both sexes. Males had a greater magnitude of response than females for cytokines IL-1alpha, IL-1beta, IL-6, IL-10, IFNalpha, TNFalpha, CCL2, and CXCL10. Additionally, while both males and females showed increased expression of the anti-viral Type I interferon beta, only males showed increased anti-viral Type I interferon alpha, highlighting a potentially important sex difference in the anti-viral response to poly I:C. We used a T-maze task and a contextual fear-based memory task to determine the effects of neuroinflammation on learning and memory mechanisms. Pre-training poly I:C did not impair learning in the T-maze task. In contrast, pre-training poly I:C disrupted learning of contextual fear conditioning in both males and females, and analysis of cFos levels revealed significant sex differences in hippocampal activation during context fear conditioning training with poly I:C on board. Together, these findings suggest that a similar behavioral deficit induced by poly I:C in males and females involve sex-specific molecular and signaling mechanisms of learning and memory. To further investigate this, we targeted Type I interferon signaling because of the sex difference in Type I interferon induction we found previously and the capacity for Type I interferons to modulate synaptic plasticity mechanisms. We found that inhibiting Type I interferon receptors prior to treatment with poly I:C attenuated the poly I:C-induced learning deficits in males, and we did not find the same effect in females. This suggests that Type I interferons play a more important role in modulating learning in males compared with females, and Type I interferon signaling is a potential target for understanding sex differences in biological mechanisms of memory impairment induced by neuroimmune activation. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Multisensory and nutritional innovations: A narrative review of opportunities for food designers in supporting long SARS-CoV-2 patients

Olfactory dysfunction (impaired sense of smell) impacts flavour perception and subsequent appetite, potentially leading to malnutrition and affective changes. This tends to develop during the early stages of SARS-CoV-2 infection and may progress into long-term olfactory loss. Therefore, specialised food designs are needed to encourage a healthy, yet pleasurable eating experience for this population. This review aims to discuss food design strategies for satisfying the sensorial and nutritional needs that could be applicable to SARS-CoV-2 patients with mild olfactory dysfunction. Key literature on food design studies suitable for individuals suffering from olfactory and gustatory dysfunction was reviewed, including strategies for flavour enhancement, colour enhancement, texture enhancement including through trigeminal stimulation, fortification of macronutrients, micronutrients and fibre. Potential gaps and application of strategies to offer appealing and nutritious food designs to long SARS-CoV-2 patients to improve their quality of life were explored. © 2023 The Authors. International Journal of Food Science & Technology published by John Wiley & Sons Ltd on behalf of Institute of Food, Science and Technology (IFSTTF).

Evolution, pathophysiology and genetic modulation of novel Coronavirus

Recently, and after its emergence in Wuhan, China, the COVID-19 infection caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread in almost every country in the world. This infection has appeared as a subject of intensive debate and concern among most of the government's public health systems, researchers, and policymakers. The severity of this zoonotic disease upshot a pandemic situation, which has a long-term impact on the personal, behavioral, social, and economic, as well as on the political and state affairs. Variations in COVID-19 severity made the situation more critical to elucidate the genomics, and genetic pathways linked to susceptibility and transmission of SARS-Cov-2 infection. The current study aimed to shed some light on SARS-Cov-2 infection and COVID-19 introduction, as well as the evolutionary history, structure, pathophysiology, genetic modulation, diagnosis, and treatment, in order to provide insight into pandemic flinch, its emergence, and progression around the world. The current study also provides a summary of the near future possibility of developing the appropriate medication for COVID-19 treatment and management through the identification of new therapeutic target molecules, including vaccine development and appropriate preventive and control measures. © 2022, Egyptian Association for Medical Mycologists (EAMM). All rights reserved.

Contactless Human Respiratory Frequency Monitoring System Based on FMCW Radar

The COVID-19 virus pandemic (Coronavirus Disease 19) has become a hot topic of conversation due to this date. A disease that attacks the human respiratory system becomes a case of the spread of the disease that is increasing daily. The method for detecting the movement of the human chest usually uses a belt-shaped device attached to the chest to see the respiratory rate. However, chest-mounted use requires contact with other people and promotes less privacy and comfort due to such attachments. Radar systems are urgently needed as contactless devices to reduce the risk of spreading disease. The use of this radar is a Frequency Modulated Continuous Wave (FMCW) technique that can perform semi-real-time monitoring. A monitoring system designed to perform small calculations to detect small movements in chest breathing. This FMCW radar system research compares the RPM radar with manual calculations to get an error value of less than 5%. The results of testing the respiratory target dataset with radar detection obtained an average error value of 1.68%. The proposed research is aimed at the health sector on vital signs. © 2022 IEEE.

A novel PRFB decomposition for non-stationary time-series and image analysis

This work presents a novel perfect reconstruction filterbank decomposition (PRFBD) method for nonlinear and non-stationary time-series and image data representation and analysis. The Fourier decomposition method (FDM), an adaptive approach based on Fourier representation (FR), is shown to be a special case of the proposed PRFBD. In addition, adaptive Fourier–Gauss decomposition (FGD) based on FR and Gaussian filters, and adaptive Fourier–Butterworth decomposition (FBD) based on Butterworth filters are developed as the other special cases of the proposed PRFBD method. The proposed theory of PRFBD can decompose any signal (time-series, image, or other data) into a set of desired number of Fourier intrinsic band functions (FIBFs) that follow the amplitude-modulation and frequency-modulation (AM-FM) representations. A generic filterbank representation, where perfect reconstruction can be ensured for any given set of lowpass or highpass filters, is also presented. We performed an extensive analysis on both simulated and real-life data (COVID-19 pandemic, Earthquake and Gravitational waves) to demonstrate the efficacy of the proposed method. The resolution results in the time-frequency representation demonstrate that the proposed method is more promising than the state-of-the-art approaches. © 2023 Elsevier B.V.

Intermodulation of gut-lung axis microbiome and the implications of biotics to combat COVID-19.

The novel coronavirus disease pandemic caused by the COVID-19 virus has infected millions of people around the world with a surge in transmission and mortality rates. Although it is a respiratory viral infection that affects airway epithelial cells, a diverse set of complications, including cytokine storm, gastrointestinal disorders, neurological distress, and hyperactive immune responses have been reported. However, growing evidence indicates that the bidirectional crosstalk of the gut-lung axis can decipher the complexity of the disease. Though not much research has been focused on the gut-lung axis microbiome, there is a translocation of COVID-19 infection from the lung to the gut through the lymphatic system resulting in disruption of gut permeability and its integrity. It is believed that detailed elucidation of the gut-lung axis crosstalk and the role of microbiota can unravel the most significant insights on the discovery of diagnosis using microbiome-based-therapeutics for COVID-19. This review calls attention to relate the influence of dysbiosis caused by COVID-19 and the involvement of the gut-lung axis. It presents first of its kind details that concentrate on the momentousness of biotics in disease progression and restoration.Communicated by Ramaswamy H. Sarma.

Highly Sensitive and Specific SARS-CoV-2 Serological Assay Using a Magnetic Modulation Biosensing System.

Sensitive serological assays are needed to provide valuable information about acute and past viral infections. For example, detection of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG antibodies could serve as the basis for an "immunity passport" that would enable individuals to travel internationally. Here, utilizing a novel Magnetic Modulation Biosensing (MMB) system and the receptor-binding domain of the SARS-CoV-2 spike protein, we demonstrate a highly sensitive and specific anti-SARS-CoV-2 IgG serological assay. Using anti-SARS-CoV-2 IgG antibodies, RT-qPCR SARS-CoV-2-positive and healthy patients' samples, and vaccinees' samples, we compare the MMB-based SARS-CoV-2 IgG assay's analytical and clinical sensitivities to those of the enzyme-linked immunosorbent assay (ELISA). Compared with ELISA, the MMB-based assay has an ~6-fold lower limit of detection (129 ng/L vs. 817 ng/L), and it detects an increase in the IgG concentration much earlier after vaccination. Using 85 RT-qPCR SARS-CoV-2-positive samples and 79 -negative samples, the MMB-based assay demonstrated similar clinical specificity (98% vs. 99%) and sensitivity (93% vs. 92%) to the ELISA test, but with a much faster turnaround time (45 min vs. 245 min). The high analytical and clinical sensitivity, short turnaround time, and simplicity of the MMB-based assay makes it a preferred method for antibody detection.