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Abstract Chronic lumbopelvic pain (CLPP) and its associated disabilities significantly affect women's social, professional, and personal lives. However, the specific factors contributing to CLPP in women remain unclear. To address this gap, this prospective cross-sectional study aims to identify the risk factors predicting CLPP in women and develop a prediction model that can predict CLPP in women. The study was conducted across Delhi, India, where free health camps were held, and 2400 women were assessed. Among the assessed individuals, the study revealed a high prevalence rate of CLPP among Indian women, standing at 70.4%. Seven risk factors namely, hamstring muscle tightness (> 20° on passive knee extension test), increased lumbar lordosis (> 11.5 cm of the lumbar lordotic index), reduced hip flexibility (> 15 cm on bent knee fallout test), altered foot posture (≥ 20 on foot posture index score), increased perception of psychological stress (> 25 on cohen’s perceived stress scale-10 score), reduced physical activity level (

Agriculture provides basic livelihood for a large section of world's population. It is the oldest economic activity in India, with two third of Indian population involved in crop production. India is second largest producer of rice and biggest exporter globally, with rice which is most common staple crop consumed in country. However, there are several challenges for paddy production including small production yield, soil quality, seed quality, huge volume of water needed and biotic stress. Of these, biotic stress drastically affects yield and susceptibility to other diseases in paddy production. It is caused by pathogens such as bacteria, viruses, fungi, nematodes, all of which severely affect growth and productivity of paddy crop. To mitigate these challenges, infected crops are identified, detected, classified, categorized, and prevented according to their respective suffering disease by using conventional methods which are not effective and efficient for growth of paddy crop. Thus, use of artificial intelligence (AI) and a smart agriculture-based Internet of Things (IoT) platform could be effective for detecting the biotic stresses in very less time or online mode. For this, deep learning, and convolutional neural networks (CNN) multi-structured layer approach were used for diagnosing disease in rice plants. Different models and classifiers of CNN were used for detecting disease by processing high-spectral images and using logistic and mathematical formulation methods for classification of biotic paddy crop stresses. Continuous monitoring of stages of infection in paddy crop can be achieved using real-time data. Thus, use of AI has made diagnosing paddy crop diseases much easier and more efficient.

Aim: The aim of the study is to evaluate changes in corneal parameters following the use of the Malyugin ring (MR) and B-Hex ring (BhR) in small pupil phacoemulsification. Methods: A prospective cross-sectional study. 51 eyes with small pupil underwent phacoemulsification with the use of MR and BhR as pupil expansion techniques. Best-corrected visual acuity (BCVA), endothelial cell counts density (ECD), coefficient-of-variation (CV), hexagonality, central corneal thickness (CCT), and intraocular pressure (IOP) were recorded on preoperative day and postoperative day 1 and day 30. Results: Mean age at presentation was 70.9 ± 4.1 years. The most common cause for small pupils was alpha-blockers used in benign prostate hypertrophy, followed by diabetes mellitus and pseudo-exfoliation syndrome. Mean preoperative BCVA (3/60–6/12), IOP (17.12 ± 2.81 mmHg), CCT (530.96 ± 44.47 μ), ECD (2347.96 ± 298.09 cells/mm2), 6A (48.92% ± 6.34%) and CV (39.50 ± 3.49) changed to BCVA (6/9–6/6), IOP (18.69 ± 1.91 mm of Hg), CCT (536.04 ± 37.61 μ), endothelial cell count (2201.15 ± 276.75 cells/mm2), 6A (45.12% ±4.99%), and CV (37.57 ± 3.37) at day 30 postoperatively after use of MR. Similarly, mean preoperative BCVA (3/60–6/12), IOP (16.40 ± 2.42 mmHg), CCT (532.40 ± 36.14 μ), ECD (2433.68 ± 162.01 cells/mm2), 6A (48.84% ± 3.73%), and CV (39.36 ± 3.915) changed to BCVA (6/9–6/6), IOP (17.68 ± 2.75 mmHg), CCT (546.88 ± 31.25 μ), ECD (2322.08 ± 167.97 cells/mm2), 6A (46.36% ± 3.25%) and CV (38.96 ± 4.43) at day 30 post-operatively after use of BhR. The average change was clinically insignificant at day 30. Conclusion: MR and BhRs are safe pupil expansion devices and the corneal parameters are in the acceptable range of any routine phacoemulsification for senile cataracts. Nevertheless, B-hR shows relatively less alteration in corneal parameters, when compared to MR.

Background and Aim: Kidney dysfunction is reported in significant number of beta thalassemia major children. The aim of this study was to determine the prevalence of glomerular dysfunction in beta-thalassemia major children on regular blood transfusion (BT) and chelation therapy, and to find the correlation between glomerular filtration rate (GFR) estimated by Schwartz formula and Technetium 99m diethylenetriaminepentaacetic acid (99mTc-DTPA) renogram with ferritin level and cumulative transfusion load. Materials and Methods: An observational cross-sectional study conducted was done on 110 children diagnosed with beta-thalassemia major receiving regular BT and chelation therapy. Clinical examination, biochemical investigations (serum creatinine, ferritin) and DTPA renal scan were done. Estimated GFR calculation was done by Schwartz method and 99mTc-DTPA scan. The normal values of GFR were taken from the standard value as per KDIGO guidelines. P < 0.05 was considered statistically significant. Results: The prevalence of glomerular dysfunction by Schwartz formula and DTPA renogram was 44% and 24%, respectively. The GFR calculation (Schwartz formula and DTPA renogram) were weakly positively correlated (r = 0.126, P = 0.547). There was significant association between GFR Schwartz and duration of iron chelation, as children with abnormal GFR had significantly more duration of iron chelation >5 years (28% vs. 4%, P = 0.003). GFR (Schwartz formula and DTPA renogram) showed no association with cumulative transfusion load and disease duration (P > 0.05). GFR Schwartz formula and GFR–DTPA showed no correlation with serum ferritin with r = 0.179, (P = 0.392) and r = 0.278 (P = 0.178). Conclusion: There is a significant derangement in the renal function of children of beta-thalassemia major on chronic BT and iron chelation therapy. GFR holds a direct correlation with the increasing duration of iron chelation.

Delusional parasitosis is a psychiatric condition where individuals believe they are infested with parasites despite lacking medical evidence. This often leads to underestimation within psychiatric settings. Three patients with delusional parasitosis, aged above and below 50, presented with symptoms lasting from 1 to 6 months. Two had consulted specialists before, and one had primary delusional parasitosis while two had secondary due to schizophrenia and depression. Tablet Olanzapine showed partial response in one patient before admission. Tablet Risperidone resulted in complete symptom resolution within 10 days in two patients and within 1 month in one patient. Randomized controlled trials on antipsychotics for delusional parasitosis treatment are lacking. Further research is needed to assess treatment recommendations. Psychiatrists should report cases to provide clinical evidence supporting treatment decisions.

The laminated sandwich composites have wide structure-making applications in the automotive and aviation fields due to their lightweight and superior flexural rigidity properties. Making grooves or holes to assemble more than one structure induces crack discontinuities near the stress concentration region in these sandwich structures. The present work examines the effect of crack discontinuities on the mechanical performance and failure process of the sandwich structures under different loading conditions. Phase field method (PFM) has been presented and implemented using in-house developed MATLAB code. The effect of holes, multiple cracks, number of cores, and loading conditions are analyzed for the mechanical and fracture behavior of the structure. Load-carrying capacity, threshold displacement value for crack initiation, crack propagation trajectory, and energy absorption capacity are compared for various crack discontinuities under different loading conditions. Approximately 35% increase in load carrying capacity is observed in equivalent multiple core sandwich structures.

Abstract Candida albicans is resistant to various antifungal drugs, this presents a significant problem on a global scale. This study investigates a novel approach on the potential fungicidal effects of α-Phellandrene combinations with fluconazole and amphotericin B against antibiotic resistant C. albicans. The agar well diffusion experiment was used to measure the anti-candida activity of α-Phellandrene which exhibited a zone of inhibition of 24 ± 0.5 mm and 22 ± 0.5 mm against the C. albicans cells (MTCC277 and ATCC90028), respectively. Additionally, the fungicidal minimum inhibitory concentration (MIC) ranged 0.0312–0.0156 mg/ml (w/v) against C. albicans strains. It was determined to have powerful and efficient antifungal action against Candida cells. Further, the synergistic potential was evaluated by employing a time kill assay and a checkerboard technique, respectively, which revealed after 16 h, the colony count of C. albicans cells ATCC90028 (2.56 ± 0.33) and MTCC277 (2.53 ± 0.33) dropped by a log10 when treated with a combination of α-Phellandrene and Fluconazole and α-Phellandrene and amphotericin B exhibited synergy against both C. albicans strains ATCC90028 and MTCC277 (2.42 ± 0.28 and 2.00 ± 0.21) log10 reduction in colony count, respectively, Additionally, 16–624-fold increase in the antifungal efficacy of clinical medicines, with total cell death occurring after 16 h. α-Phellandrene and antifungal drugs were tested in combination with the osmoprotectant test, ergosterol test and FESEM observations to determine their modes of action. In the era of multidrug-resistant diseases antibiotic resistance can be curtailed in its tracks with the help of combination treatments that allow for lower drug doses.

Aim: Urine as a biofluid has been rarely used as a diagnostic fluid in oral diseases. The article aims to systematically review the utility of human urinary carcinogen metabolites as an approach for obtaining important information about tobacco and cancer. Materials and Methods: The following article reviews the use of urine and its metabolites as biomarkers in various lesions of the oral cavity including oral squamous cell carcinoma and as a screening method in evaluating tobacco and its components. A bibliographic comprehensive search was carried out in the main databases: PUBMED, SciELO, Google Scholar, VHL, and LILACS for articles that were published from 1985 to 2020. The inclusion criteria were “urinary metabolites,” “oral cancer/HNSCC,” “body fluids,” “tobacco,” and “metabolomics.” A total of 55 articles were collected which included laboratory studies, systematic reviews, and literature of urinary metabolites in tobacco users. Results: Most of the studies carried out show accurate results with high sensitivity of urinary metabolite biomarkers in individuals with tobacco-based habits and lesions caused by them. Conclusion: The review indicates that urinary metabolite analysis demonstrates its applicability for the diagnosis and prognosis of disease. Urine is a remarkable and useful biofluid for routine testing and provides an excellent resource for the discovery of novel biomarkers, with an advantage over tissue biopsy samples due to the ease and less invasive nature of collection.

Most existing research on the perception of 3D shape from motion has focused on rigidly moving objects. However, many natural objects deform non-rigidly, leading to image motion with no rigid interpretation. We investigated potential biases underlying the perception of non-rigid shape interpretations from motion. We presented observers with stimuli that were consistent with two qualitatively different interpretations. Observers were shown a two-part 3D object with the smaller part changing in length dynamically as the whole object rotated back and forth. In two experiments, we studied the misperception (i.e., perceptual reinterpretation) of the non-rigid length change to a part. In Experiment 1, observers misperceived this length change as a part orientation change (i.e., the smaller part was seen as articulating with respect to the larger part). In Experiment 2, the stimuli were similar, except the silhouette of the part was visible in the image. Here, the non-rigid length change was reinterpreted as a rigidly attached part with an “illusory” non-orthogonal horizontal angle relative to the larger part. We developed a model that incorporated this perceptual reinterpretation and could predict observer data. We propose that the visual system may be biased towards part-wise rigid interpretations of non-rigid motion, likely due to the ecological significance of movements of humans and other animals, which are generally constrained to move approximately part-wise rigidly. That is, not all non-rigid deformations are created equal: the visual systems’ prior expectations may bias the system to interpret motion in terms of biologically plausible shape transformations.

We investigate the impact of information on biopharmaceutical stock prices via an event study encompassing 503,107 news releases from 1,012 companies. We distinguish between pharmaceutical and biotechnology companies, and apply three asset pricing models to estimate their abnormal returns. Acquisition-related news yields the highest positive return, while drug-development setbacks trigger significant negative returns. We also find that biotechnology companies have larger means and standard deviations of abnormal returns, while the abnormal returns of pharmaceutical companies are influenced by more general financial news. To better understand the empirical properties of price movement dynamics, we regress abnormal returns on market capitalization and a sub-industry indicator variable to distinguish biotechnology and pharmaceutical companies, and find that biopharma companies with larger capitalization generally experience lower magnitude of abnormal returns in response to events. Using longer event windows, we show that news related to acquisitions and clinical trials are the sources of potential news leakage. We expect this study to provide valuable insights into how diverse news types affect market perceptions and stock valuations, particularly in the volatile and information-sensitive biopharmaceutical sector, thus aiding stakeholders in making informed investment and strategic decisions.

Quantum computing (QC) has opened the door to advancements in machine learning (ML) tasks that are currently implemented in the classical domain. Convolutional neural networks (CNNs) are classical ML architectures that exploit data locality and possess a simpler structure than a fully connected multi-layer perceptrons (MLPs) without compromising the accuracy of classification. However, the concept of preserving data locality is usually overlooked in the existing quantum counterparts of CNNs, particularly for extracting multifeatures in multidimensional data. In this paper, we present an multidimensional quantum convolutional classifier (MQCC) that performs multidimensional and multifeature quantum convolution with average and Euclidean pooling, thus adapting the CNN structure to a variational quantum algorithm (VQA). The experimental work was conducted using multidimensional data to validate the correctness and demonstrate the scalability of the proposed method utilizing both noisy and noise-free quantum simulations. We evaluated the MQCC model with reference to reported work on state-of-the-art quantum simulators from IBM Quantum and Xanadu using a variety of standard ML datasets. The experimental results show the favorable characteristics of our proposed techniques compared with existing work with respect to a number of quantitative metrics, such as the number of training parameters, cross-entropy loss, classification accuracy, circuit depth, and quantum gate count.

Introduction: Heat shock protein (HSP) 27, if overexpressed in breast cancers, affects the disease outcome and sensitivity of tumors to chemotherapy and radiotherapy. There are limited studies on actual patients in India, so the present study was designed to contribute our experiences to the literature regarding HSP 27 expression and its significance in breast carcinoma. Materials and Methods: Thirty diagnosed cases of invasive duct carcinoma are evaluated for histopathology grade, stage, and expression of immune markers, namely, ER, PR, HER2, VEGF, and HSP 27, followed up to 2 years after primary management, especially if treated with Herceptin. The staining was evaluated, and data were analyzed using the χ2 and Fisher’s exact tests. Results: HSP 27 is expressed strongly in most ER- and PR-positive cases, but there is no correlation with Her2 and VEGF. The findings suggest more advanced disease, adverse outcomes, and lymph node metastasis. Moreover, these findings are directly related to strong HSP 27 expressions and shorter overall survival in the group of ER/PR-positive breast carcinoma cases, but this relation can be relied upon up to stage II disease. After that, in advance cases, HSP 27 loses its significance slowly and could not establish any link between HSP 27 and Herceptin resistance because of a short follow-up. Conclusion: HSP 27 proved a promising prognostic marker in ER/PR-positive breast carcinoma cases.

Context: In 2018, Government of India initiated Home-Based Care for Young Child (HBYC) program having five quarterly structured home visits for children age 3 to 15 months to promote early childhood development. Assess knowledge and practices of Accredited Social Health Activist (ASHAs), other health functionaries, and mothers related to HBYC. Cross-sectional evaluation design with ASHAs, AWWs, ANMs, ASHA, and mothers of 3 to 15 month's children as participants. Material and Methods: Knowledge and practices of 801 ASHAs, 200 other health functionaries, and 787 mothers were assessed on exclusive breastfeeding, complementary feeding, hand washing, iron folic acid (IFA) and oral rehydration solution (ORS) supplementation, danger referral signs in eight aspirational districts of Madhya Pradesh. Results: 88% ASHAs had correct knowledge on ORS, 85% on complementary feeding, 85% on adequacy of IFA, and 47% on danger signs which required child referral. Similarly, 85% of mothers had knowledge on exclusive breastfeeding, 40% mothers knew about complementary feeding, and only 18% knew correct ORS preparation. Statistically significant association was observed between ASHAs home visits and availability of ORS with mothers and their knowledge on correct Initiation of IFA (p < 0.001). Conclusion: Findings of study confirmed majority of health functionaries were aware about roles, responsibilities, and key tasks under HBYC. However, there observed a gap in knowledge transfer by health functionaries and thus inadequate translation of knowledge into practices among mothers on HBYC. This necessitates the need of appropriate actions from health system strengthening to capacity building to accelerate uptake of HBYC program.

Convolutional neural networks (CNNs) have proven to be a very efficient class of machine learning (ML) architectures for handling multidimensional data by maintaining data locality, especially in the field of computer vision. Data pooling, a major component of CNNs, plays a crucial role in extracting important features of the input data and downsampling its dimensionality. Multidimensional pooling, however, is not efficiently implemented in existing ML algorithms. In particular, quantum machine learning (QML) algorithms have a tendency to ignore data locality for higher dimensions by representing/flattening multidimensional data as simple one-dimensional data. In this work, we propose using the quantum Haar transform (QHT) and quantum partial measurement for performing generalized pooling operations on multidimensional data. We present the corresponding decoherence-optimized quantum circuits for the proposed techniques along with their theoretical circuit depth analysis. Our experimental work was conducted using multidimensional data, ranging from 1-D audio data to 2-D image data to 3-D hyperspectral data, to demonstrate the scalability of the proposed methods. In our experiments, we utilized both noisy and noise-free quantum simulations on a state-of-the-art quantum simulator from IBM Quantum. We also show the efficiency of our proposed techniques for multidimensional data by reporting the fidelity of results.

Background and Objectives: COVID-19 has infected and caused the deaths of millions of people globally with India being the second most affected country in the world. The primary objective of the study was to determine the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) antibodies in healthy blood donors in North India. The secondary objective of the study was to find the association of vaccination and infection with seropositivity in the blood donors. Methods: All blood donor samples were screened for the presence of IgG antibodies against SARS CoV2 spike (S1) protein. Anti-SARS CoV2 IgG antibody status, demographic data, history of past COVID infection, and vaccination of all eligible donors in the study period were collected. Seroprevalence was calculated as the percentage of total number of donors positive for anti-SARS CoV2 IgG antibodies. Month-wise seroprevalence was also calculated and analyzed. Results: Out of 1456 donors, 874 were found to be seropositive, resulting in a seroprevalence of 60%. Seroprevalence was found to be 38.3% and 77%, respectively, in the months of April and May 21. Seropositivity was 100%, 92%, 79%, and 54% in those with a history of both COVID infection and vaccination, vaccination only, infection only, and no history of vaccination or infection, respectively. Conclusion: Blood donors represent an easy access to seroprevalence studies and need to be tapped at the national level to obtain a temporal picture of the COVID-19 situation to guide healthcare policies, mark regions where vaccination drives need to be intensified.

Cat scratch disease (CSD), caused by Bartonella henselae, may atypically present with vertebral osteomyelitis. Antibiotic regimens are tailored to presentation, which is markedly variable and not well defined for any atypical disease. In cases of spinal instability, the use of antibiotics alone may not be sufficient. Atlantoaxial instability caused by osteomyelitis is a rare complication of CSD. In this report, we describe the rare case of vertebral osteomyelitis complicated by atlantoaxial instability, requiring both antibiotics and atlantoaxial fusion. We discuss our case, surgical technique, rationale, and outcome. In addition, we conducted a systematic review of the literature of vertebral osteomyelitis in pediatric secondary to B. henselae. A 2-year-old child presented with a 2-month history of irritability, fever, and rigid neck pain along with a recent history of feline exposure. Physical examination revealed cervical tenderness and decreased range of motion. Computed tomography (CT) showed osteolysis of the right C1 lateral mass and pars articularis; T1-weighted magnetic resonance imaging with contrast showed enhancement around the right C1 lateral mass. The titer for B. henselae was high. A diagnosis of cat scratch osteomyelitis with cervical instability was made, for which the patient underwent surgery with atlantoaxial fusion. Postoperative imaging demonstrated resolution of the contrast-enhanced lesion. At 6-year follow-up, the patient showed no signs of residual complications from surgical intervention with a solid fusion. Our review revealed 44 cases of pediatric CSD vertebral osteomyelitis. Conservative management with antibiotic employed in 86% while antibiotics with surgical intervention in 14% of the cases. Surgical intervention was most often in the form of incision for drainage and decompression without fusion. Average follow-up 10 months with 86% achieved complete resolution. Cervical instability caused by osteolysis is a rare complication of CSD. This can subsequently lead to vertebral instability, requiring definitive surgical intervention.

Rhodopsins have been extensively employed for optogenetic regulation of bioelectrical activity of excitable cells and other cellular processes across biological systems. Various strategies have been adopted to attune the cellular processes at the desired subcellular compartment (plasma membrane, endoplasmic reticulum, Golgi, mitochondria, lysosome) within the cell. These strategies include-adding signal sequences, tethering peptides, specific interaction sites, or mRNA elements at different sites in the optogenetic proteins for plasma membrane integration and subcellular targeting. However, a single approach for organelle optogenetics was not suitable for the relevant optogenetic proteins and often led to the poor expression, mislocalization, or altered physical and functional properties. Therefore, the current study is focused on the native subcellular targeting machinery of algal rhodopsins. The N- and C-terminus signal prediction led to the identification of rhodopsins with diverse organelle targeting signal sequences for the nucleus, mitochondria, lysosome, endosome, vacuole, and cilia. Several identified channelrhodopsins and ion-pumping rhodopsins possess effector domains associated with DNA metabolism (repair, replication, and recombination) and gene regulation. The identified algal rhodopsins with diverse effector domains and encoded native subcellular targeting sequences hold immense potential to establish expanded organelle optogenetic regulation and associated cellular signaling.

IntroductionExtracellular vesicles (EVs) are known to have a significant role in the central nervous system (CNS) and neurodegenerative disease.MethodsPubMed, Scopus, ISI Web of Science, EMBASE, and Google Scholar were used to identify published articles about EV modifications (2012 to Feb 2022).ResultsIn total, 1,435 published papers were identified among the searched articles, with 1,128 non-duplicate publications being identified. Following the screening of titles and abstracts, 214 publications were excluded; following the full-text screening of 93 published articles, another 33 publications were excluded. The remaining 60 studies were considered. The kappa statistic of 0.868 indicated that the raters were highly reliable. Furthermore, the inter-reliability and intra-reliability coefficients were found to be 0.931 and 0.908, respectively, indicating strong reliability and consistency between the eligible studies identified by the raters. A total of 27 relevant studies demonstrated the role of EVs as therapeutic and diagnostic biomarkers in neurodegenerative diseases. Of note, 19 and 14 studies, respectively, found EVs to be pioneering in diagnostic and therapeutic roles.DiscussionEVs play an important role in the central nervous system (CNS), aiding in cell-to-cell communication and serving as a diagnostic marker and therapeutic target in a variety of neurodegenerative diseases. EVs are the home of several proteins [including-synuclein (-syn) and tau proteins], lipids, and genetic materials such as DNA and RNA. The presence of novel miRNAs in EVs suggests biomarkers for the diagnosis and screening of neurodegenerative disorders. Furthermore, EVs play an important role in the pathogenesis of such disorders. This systematic review discussed the current state of EVs’ role in neurological diseases, as well as some preclinical studies on the therapeutic and diagnostic potential of EVs.

BackgroundPeripheral nerve injury is a serious concern that leads to loss of neuronal communication that impairs the quality of life and, in adverse conditions, causes permanent disability. The limited availability of autografts with associated demerits shifts the paradigm of researchers to use biomaterials as an alternative treatment approach to recover nerve damage.PurposeThe purpose of this study is to explore the role of biomaterials in translational treatment approaches in diabetic neuropathy.Study designThe present study is a prospective review study.MethodsPublished literature on the role of biomaterials in therapeutics was searched for.ResultsBiomaterials can be implemented with desired characteristics to overcome the problem of nerve regeneration. Biomaterials can be further exploited in the treatment of nerve damage especially associated with PDN. These can be modified, customized, and engineered as scaffolds with the potential of mimicking the extracellular matrix of nerve tissue along with axonal regeneration. Due to their beneficial biological deeds, they can expedite tissue repair and serve as carriers of cellular and pharmacological treatments. Therefore, the emerging research area of biomaterials-mediated treatment of nerve damage provides opportunities to explore them as translational biomedical treatment approaches.ConclusionsPre-clinical and clinical trials in this direction are needed to establish the effective role of several biomaterials in the treatment of other human diseases.

Gasification technology often requires the use of modeling approaches to incorporate several intermediate reactions in a complex nature. These traditional models are occasionally impractical and often challenging to bring reliable relations between performing parameters. Hence, this study outlined the solutions to overcome the challenges in modeling approaches. The use of machine learning (ML) methods is essential and a promising integration to add intelligent retrieval to traditional modeling approaches of gasification technology. Regarding this, this study charted applied ML-based artificial intelligence in the field of gasification research. This study includes a summary of applied ML algorithms, including neural network, support vector, decision tree, random forest, and gradient boosting, and their performance evaluations for gasification technologies.

Introduction: Aspiration of gastric content is a known life-threatening, yet preventable complication of anaesthesia. While mostly all elective procedures do follow the preoperative fasting protocols as recommended by American Society of Anaesthesia (ASA), there are many situations where the fasting guideline cannot be followed considering the emergency. In such cases, bedside ultrasound assessment of gastric volume can become an important tool to stratify aspiration related risk. Aim: To find out the actual trends of gastric volume and pH in patients with two hour fasting with a prokinetic drug versus overnight fasting who are undergoing elective procedures. Materials and Methods: This single centre, randomised clinical trial was conducted in the Department of Anaesthesia at Dr. Sampurnanand Medical College, Jodhpur, Rajasthan, India, between December 2020 and July 2021, among 50 patients of ASA grade I undergoing elective procedures under general anaesthesia. Participants were divided into two groups. Group A patients were advised overnight fasting while group B participants were advised two hour fasting for clear liquids followed by intravenous (i.v.) metoclopramide injection. Assessment of gastric volume and other gastric parameters were done using a portable ultrasound machine. The pH of gastric content was measured using pH strips. Gastric content was obtained using Ryle’s Tube placed in the patient, postinduction of anaesthesia. Collected data was statistically analysed using Unpaired t-test for all qualitative data. Results: Significant difference in the anteroposterior diameter (3.46±0.34 in group A versus 2.24±0.30 in group B), cranio-caudal diameter (4.77±0.51 in group A versus 3.71±0.36 in group B), antral curved surface area (9.90±0.77 in group A versus7.77±1.04 in group B) and gastric volume (127.48±13.09 in group A versus 104.65±15.43 in group B) and pH (2.08±0.28 in group A versus 2.80±0.41 in group B) was observed (p-value=0.0001). However, no significant difference in any gastric parameter, mentioned above, was noted before and after injecting intravenous metoclopramide. Conclusion: Bedside ultrasound assessment of gastric volume is an important toolfor aspiration risk stratification especially in emergency, non-fasting patients.

The present study aimed to assess the in-vitro toxicity of a popular azodye, Eriochrome Black T (EBT) which may be an environmental hazard causing water pollution if released by textile industries as waste effluents to nearby water ponds. We explored the toxic potential of EBT at 200, 400 and 800 μg/ml concentrations, which were selected based on quantification of EBT present in the pond water near carpet industries. We investigated the permeability of EBT across the organ barriers and found it to be 6.48 ± 0.44% at the highest concentration. EBT also showed up to 26.46 ± 0.533% hemolytic potential on human RBCs. MTT assay revealed toxicity of up to 64.9 ± 10.12%. A dose-dependent increase in intracellular ROS levels and Caspase 3/7 activity was observed and confocal microscopy also demonstrated a similar trend of cellular apoptosis indicating ROS mediated induction of apoptosis as a mechanism of EBT induced cytotoxicity. After establishing the toxicity of EBT, an innovative nano-photocatalytic approach for dye remediation was applied by using as synthesized Mf-NGr-CNTs-SnO2 heterostructures. This catalyst showed dye degradation potential of up to 82% in 2 h in the presence of sun light. The degraded dye products were tested to have up to 30% reduced cellular toxicity as compared to the parent compound. This work successfully establishes the toxicity of EBT along with devising an innovative approach towards dye degradation where the catalyst is adhered on melamine foam and not being mixed in the effluents directly, thereby, reducing the possibility of catalyst being leached out into the river water.

Candidiasis is a mycosis caused by opportunistic Candida species. The occurrence of fungal infections has considerably increased in the last few years primarily due to an increase in the number of immune-suppressed individuals. Alarming bloodstream infections due to Candida sp. are associated with a higher rate of morbidity and mortality, and are emerged as major healthcare concerns worldwide. Currently, chemotherapy is the sole available option for combating fungal diseases. Moreover, the emergence of resistance to these limited available anti-fungal drugs has further accentuated the concern and highlighted the need for early detection of fungal infections, identification of novel antifungal drug targets, and development of effective therapeutics and prophylactics. Thus, there is an increasing interest in developing safe and potent immune-based therapeutics to tackle fungal diseases. In this context, vaccine design and its development have a priority. Nonetheless, despite significant advances in immune and vaccine biology over time, a viable commercialized vaccine remains awaited against fungal infections. In this minireview, we enumerate various concerted efforts made till date towards the development of anti-Candida vaccines, an option with pan-fugal vaccine, vaccines in the clinical trial, challenges, and future opportunities.

Background: Calotropis procera is a large shrub which consists many medicinal properties, used in treatment of snake bite, sinus fistula, rheumatism, mumps, burn injuries, inflammation and jaundice traditionally. All the parts of Calotropis procera were utilized in the treatment of diseases out of which leaves and roots were investigated for its toxicity profile that showed dose dependent toxicity. Toxicity profile of flowers of Calotropis procera was not investigated in the previous studies. The aim of this study was to explore the acute and subacute toxicity of ethanolic extract of Calotropis procera flowers for the safe use of traditional medicine. Method: In acute toxicity, a total of 20 female mice (Swiss albino), weighing between 23 and 32 g were randomly divided into four experimental groups: control, 300, 1000, and 2000 mg/kg groups with 5 mice each, and each received a single dose of extract at 300, 1000, or 2000 mg/kg, respectively. Animals were monitored for 14 days. In the subacute study, a total of 40 mice (23–32 g) were divided into 4 groups, each containing males and females. Group 1 (control group) received vehicle and groups 2, 3, and 4 received extract at doses of 300 mg/Kg, 1000 mg/Kg, 2000 mg/Kg of b.w., respectively, for 28 consecutive days. The study was conducted in compliance with the OECD guidelines 407 and 423. Results: Acute toxicity study showed no mortality at the dose of 2000 mg/Kg. In subacute toxicity study, statistical analysis of hematological and biochemical parameters showed no significant differences compared to control group except marked increase in segmented neutrophils. Histopathological studies revealed no significant structural differences among the treated groups and in comparison to control group. Conclusions: It was concluded that oral administration of doses of ethanolic extract of Calotropis procera flower, administered acutely, did not cause any mortality or notable changes at the dose of 2000 mg/Kg. Therefore, the approximate lethal dose (ALD) of in mice was higher than 2,000 mg/kg. In a 28-day subacute toxicity model, the extract did not cause any mortality, and no treatment-related changes were observed in body weight, organ weight, hematological and biochemical blood analysis, or histopathologic examinations at the extract dose of 2000 mg/Kg. These findings indicate that the no-observed-adverse-effect-level (NOAEL) of Calotropis procera flower ethanolic extract was greater than 2000 mg/kg/day.

Background: After declaration of COVID- 19 as pandemic by WHO, countries adopted several measures to contain the spread as well as test and treat the patients. Further, as no effective management protocols to address this pandemic were available, a need was felt to explore the integration of modern and traditional medicines to treat COVID- 19 cases. Objective: To undertake a study with Ayurveda formulation as add on to existing standard of care (SOC) and to compare the outcomes in terms of patient acceptability, the time to clinical recovery, hospital stay as well as any signs of drug-herb interaction between the Ayurveda formulation and the SOC. Material and methods: An exploratory nonrandomized prospective study has been undertaken for comparing the outcomes of traditional Ayurvedic classical formulation of Tinospora cordifolia (Guduchi) and Piper longum (Pippali) as an add on to standard of care (SOC) using modern medicine with SOC alone. This has been done in mild and moderate COVID- 19 cases, at a tertiary care integrative Medicine hospital in the National Capital Region, Gurgaon, India. The outcomes have been evaluated in terms of the duration of hospital stay, the time to clinical recovery, safety and non- interference/interaction of Ayurvedic and Further, long term impact of COVID- 19 treatment has been evaluated using quality of life questionnaire after 3 months of discharge. Results: Findings of present study reveals that the Ayurveda add-on formulation of T. cordifolia (Guduchi) and P. longum (Pippali) has reduced the length of hospital stay and improve the recovery time. General feeling of wellbeing and activity levels were better in the 3 month follow-up post discharge in the Ayurveda add-on group. Conclusion: Addition of Ayurveda formulation has reduced the time of recovery and duration of hospital stay. However, this formulation needs further investigated to provide more information on effective and safe herbal add-on to SOC for better outcomes to treatment of COVID-19 disease.

Introduction: The Anterior Cruciate Ligament (ACL) is a very commonly injured ligament of knee. Several physical examination tests are performed for evaluating ACL stability. The Lachman, pivot-shift, and anterior drawer tests are commonly performed for evaluating the knee laxity. Aim: To compare Lever sign test with anterior drawer test and Lachman test in case of ACL tear, and to assess preanaesthesia and postanaesthesia variability in tests results. Materials and Methods: This prospective cohort study was conducted at Government Medical College, Kathua, Jammu, India, from October 2018 till September 2019. Total 50 patients were included (age group 18-60 years) with symptomatic ACL tear requiring diagnostic arthroscopy or repair. Three test included Lever sign test, anterior drawer test and Lachman test were performed preanaesthesia and postanaesthesia and findings were recorded. Sensitivity and specificity was calculated preanaesthesia and postanaesthesia. Statistical analysis was done using Statistical Package for Social Sciences (SPSS) version 21.0. The p-value ≤0.05 was considered statistically significant. Results: Total 50 patients were evaluated and analysed including 60% males (n=30) and 40% females (n=20). The mean age of the patients was 34.5±2.6 years. Sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Values (NPV) and diagnostic accuracy of anterior drawer test preanaesthesia were 83%, 87%, 97%, 50%, and 84%, respectively, and postanaesthesia were 88%, 87%, 97%, 58%, and 88%; for Lachman test preanaesthesia were 88%, 87%, 97%, 58%, and 88%, respectively, and postanaesthesia were 90%, 87%, 97%, 63%, and 90%; and for Lever sign test preanaesthesia were 85%, 88%, 100%, 57%, and 88%, and postanaesthesia were 88%, 100%, 100%, 61%, and 90%, respectively. There was no significant difference in the diagnostic accuracy of the three tests while comparing for preanaesthesia and postanaesthesia or for individual tests (p>0.05). Conclusion: The lever test showed high specificity, but comparable diagnostic accuracy in the detection of ACL tears in comparison to anterior drawer test and Lachman test. All the tests hold equal importance for diagnosing ACL tears before and after anaesthesia.

Introduction: Osteoarthritis (OA) of the knee is a debilitating old age disease causing pain and restriction in movement. Proximal Fibular Osteotomy (PFO) can be a novel surgical technique which may provide an increase in the joint space and balance the load bearing of the knee joint. The present study was conducted to determine the outcomes of this surgical technique in patients with OA of the knee. The findings may motivate many practicing orthopaedicians to undertake this surgical technique and thereby, impart better quality of life to such patients. Aim: To assess the outcome in terms of medial joint space, lateral joint space, tibiofemoral angle and range of movement of medial compartment decompression by fibular osteotomy in medial compartment knee OA. Materials and Methods: This retrospective study was conducted in the Postgraduate Department of Orthopaedics, Government Medical College, Jammu, India, from November 2018 to October 2019, on 30 adult patients (both genders) aged 40-60 years who had moderate to severe symptomatic medial compartment knee OA. Patients who had rheumatoid arthritis, post-traumatic arthritis, congenital lower extremities defects, infections in joints, presence of ligament/meniscus injury, and those with abnormality in the lateral compartment were excluded. Preoperatively and postoperatively, medial joint space, lateral joint space, tibiofemoral angle and range of movement were assessed and compared. The p-value

Abstract Ceria-based heterostructure composite (CHC) has become a new stream to develop advanced low-temperature (300–600 °C) solid oxide fuel cells (LTSOFCs) with excellent power outputs at 1000 mW cm−2 level. The state-of-the-art ceria–carbonate or ceria–semiconductor heterostructure composites have made the CHC systems significantly contribute to both fundamental and applied science researches of LTSOFCs; however, a deep scientific understanding to achieve excellent fuel cell performance and high superionic conduction is still missing, which may hinder its wide application and commercialization. This review aims to establish a new fundamental strategy for superionic conduction of the CHC materials and relevant LTSOFCs. This involves energy band and built-in-field assisting superionic conduction, highlighting coupling effect among the ionic transfer, band structure and alignment impact. Furthermore, theories of ceria–carbonate, e.g., space charge and multi-ion conduction, as well as new scientific understanding are discussed and presented for functional CHC materials.

We study the relationships between the real-time psychophysiological activity of professional traders, their financial transactions, and market fluctuations. We collected multiple physiological signals such as heart rate, blood volume pulse, and electrodermal activity of 55 traders at a leading global financial institution during their normal working hours over a five-day period. Using their physiological measurements, we implemented a novel metric of trader’s “psychophysiological activation” to capture affect such as excitement, stress and irritation. We find statistically significant relations between traders’ psychophysiological activation levels and such as their financial transactions, market fluctuations, the type of financial products they traded, and their trading experience. We conducted post-measurement interviews with traders who participated in this study to obtain additional insights in the key factors driving their psychophysiological activation during financial risk processing. Our work illustrates that psychophysiological activation plays a prominent role in financial risk processing for professional traders.

We perform an event study analysis that quantifies the market reaction to clinical trial result announcements for 13,807 trials from 2000 to 2020, one of the largest event studies of clinical trials to date. We first determine the specific dates in the clinical trial process on which the greatest impact on the stock prices of their sponsor companies occur. We then analyze the relationship between the abnormal returns observed on these dates due to the clinical trial outcome and the properties of the trial, such as its phase, target accrual, design category, and disease and sponsor company type (biotechnology or pharmaceutical). We find that the classification of a company as "early biotechnology" or "big pharmaceutical" had the most impact on abnormal returns, followed by properties such as disease, outcome, the phase of the clinical trial, and target accrual. We also find that these properties and classifications by themselves were insufficient to explain the variation in excess returns observed due to clinical trial outcomes.

Industries and anthropogenic activities around us engender our natural resources with their noxious discharge, untreated waste water or sludge containing variety of heavy metals. These toxic metals in turn are emerging health risks for living beings triggering allergies, infection, defects and diseases. Consequently, there is evolving needs for ecologically safe, systematic and novel approach to remediate these toxic heavy metals. Physical, chemical and biological methods have not been much effective in dealing of contaminated ecosystem. These conventional approaches have limitation in terms of higher cost, energy consumption and less efficiency. Overcoming their drawbacks, adsorption, a physico-chemical surface phenomenon came to light which is a way cheaper, effective, flexible, reactive and efficient technique for eliminating heavy metals like cobalt, chromium, lead, nickel, mercury, arsenic, uranium, cadmium, copper etc. Modulating chemical and physical characteristics of microbes, lignocellulosic material, industrial waste biomass, nanotubes, metal organic frameworks (MOFs) and nanocomposite material, escorts in fabricating a magnificent adsorbent. This review critically evaluates various type of adsorbents, their application and adsorption efficiency. It also analysed the parameters affecting the adsorption processes.

Summary: Protein oligomerization is central to biological function and regulation, yet its experimental quantification and measurement of dynamic transitions in solution remain challenging. Here, we show that single molecule mass photometry quantifies affinity and polydispersity of heterogeneous protein complexes in solution. We demonstrate these capabilities by studying the functionally relevant oligomeric equilibria of 2-cysteine peroxiredoxins (2CPs). Comparison of the polydispersity of plant and human 2CPs as a function of concentration and redox state revealed features conserved among all 2CPs. In addition, we also find species-specific differences in oligomeric transitions, the occurrence of intermediates and the formation of high molecular weight complexes, which are associated with chaperone activity or act as a storage pool for more efficient dimers outlining the functional differentiation of human 2CPs. Our results point to a diversified functionality of oligomerization for 2CPs and illustrate the power of mass photometry for characterizing heterogeneous oligomeric protein distributions in near native conditions.

Objective The purpose was to increase use of alcoholic hand rub (AHR) in specialised newborn care unit (SNCU) to improve hand hygiene in order to reduce neonatal sepsis and mortality at Netaji Subhash Chandra Bose Medical College and Hospital, Jabalpur.Design A prospective interventional and observational study.Methodology We formed a quality improvement (QI) team in our SNCU consisting of doctors, nurses, auxiliary staff and parents (a floating member) to improve proper use of AHR. To identify the barriers to the problem, we used fishbone analysis tool. The barriers which were not allowing the health providers to use AHR properly identified were amount of AHR in millilitres to be used per day per baby, how much and when the amount of AHR to be indented from the main store and what is the proper site to place the bottle. We used plan–do–study–act cycles to test and adapt solutions to these problems. Within 5–6 weeks of starting our project, AHR use increased from 44 mL to 92 mL per baby per day and this is sustained around 100 mL per baby per day for over 2 years now.Results Significant decrease in neonatal mortality was observed (reduced from median of 41.0 between August 2016 and April 2018 to 24.0 between May 2018 and December 2019). The neonates discharged alive improved from 41.2 to 52.3 as a median percentage value. The percentage of babies who were referred out and went Left Against Medical Advice (LAMA) deceased too.Conclusion Multiple factors can lead to neonatal deaths, but the important factors are always contextual to facilities. QI methodology provides health workers with the skills to identify the major factors contributing to mortality and develop strategies to deal with them. Improving processes of care can lead to improved hand hygiene and saves lives.

SARS-CoV-2–infected patients are reported to show immunocompromised behavior that gives rise to a wide variety of complications due to impaired innate immune response, cytokine storm, and thrombo-inflammation. Prolonged use of steroids, diabetes mellitus, and diabetic ketoacidosis (DKA) are some of the factors responsible for the growth of Mucorales in such immunocompromised patients and, thus, can lead to a life-threatening condition referred to as mucormycosis. Therefore, an early diagnosis and cell-based management cosis is the need of the hour to help affected patients overcome this severe condition. In addition, extended exposure to antifungal drugs/therapeutics is found to initiate hormonal and neurological complications. More recently, mesenchymal stem cells (MSCs) have been used to exhibit immunomodulatory function and proven to be beneficial in a clinical cell-based regenerative approach. The immunomodulation ability of MSCs in mucormycosis patient boosts the immunity by the release of chemotactic proteins. MSC-based therapy in mucormycosis along with the combination of short-term antifungal drugs can be utilized as a prospective approach for mucormycosis treatment with promising outcomes. However, preclinical and in mucormyIn mucormycosis, the hyphae of clinical trials are needed to establish the precise mechanism of MSCs in mucormycosis treatment.

Exosomes are nano-vesicles of endosomal origin inherited with characteristics of drug delivery and cargo loading. Exosomes offer a diverse range of opportunities that can be exploited in the treatment of various diseases post-functionalization. This membrane engineering is recently being used in the management of bacteria-associated diabetic foot ulcers (DFUs). Diabetes mellitus (DM) is among the most crippling disease of society with a large share of its imposing economic burden. DM in a chronic state is associated with the development of micro- and macrovascular complications. DFU is among the diabetic microvascular complications with the consequent occurrence of diabetic peripheral neuropathy. Mesenchymal stromal cell (MSC)-derived exosomes post-tailoring hold promise to accelerate the diabetic wound repair in DFU associated with bacterial inhabitant. These exosomes promote the antibacterial properties with regenerative activity by loading bioactive molecules like growth factors, nucleic acids, and proteins, and non-bioactive substances like antibiotics. Functionalization of MSC-derived exosomes is mediated by various physical, chemical, and biological processes that effectively load the desired cargo into the exosomes for targeted delivery at specific bacterial DFUs and wound. The present study focused on the application of the cargo-loaded exosomes in the treatment of DFU and also emphasizes the different approaches for loading the desired cargo/drug inside exosomes. However, more studies and clinical trials are needed in the domain to explore this membrane engineering.

Introduction: A complete Anterior Cruciate Ligament (ACL) injury can result in a progressively increasing symptomatic knee instability, which can cause recurrent intra articular damage and eventually results in osteoarthritis if not treated on time. Aim: To analyse the effects of delaying ACL reconstruction beyond a period of 12 weeks and compared the results with cases managed before that time period. Materials and Methods: A prospective cohort study was conducted between July 2017 to October 2019 in Government Medical College, Jammu on two groups of patients divided into early (12 weeks) on the basis of interval between the injury and definitive surgery. ACL reconstruction was done using a quadrupled semitendinosusgracilis graft. A standard rehabilitation protocol was followed and the results were compared. Patients were followed-up till one year postsurgery. Software used for statistical analysis was EpiInfo Version 3.0 and SPSS. Results: A total of 72 patients were included in the study. Forty patients were in the early group and 32 in delayed. Male patients outnumbered the females in both the groups and the incidence of injury was more on the right side. Sports injuries were the most common mode of injury, followed by falls and road traffic accidents in both the groups. The incidence of grade 3/4 medial and Lateral Meniscal (LM) tears was more in the delayed group and the association was statistically significant (p

Summary: Fuel cells are highly efficient and green power sources. The typical membrane electrode assembly is necessary for common electrochemical devices. Recent research and development in solid oxide fuel cells have opened up many new opportunities based on the semiconductor or its heterostructure materials. Semiconductor-based fuel cells (SBFCs) realize the fuel cell functionality in a much more straightforward way. This work aims to discuss new strategies and scientific principles of SBFCs by reviewing various novel junction types/interfaces, i.e., bulk and planar p-n junction, Schottky junction, and n-i type interface contact. New designing methodologies of SBFCs from energy band/alignment and built-in electric field (BIEF), which block the internal electronic transport while assisting interfacial superionic transport and subsequently enhance device performance, are comprehensively reviewed. This work highlights the recent advances of SBFCs and provides new methodology and understanding with significant importance for both fundamental and applied R&D on new-generation fuel cell materials and technologies.

How many nanoparticles can we load in a fiber? How much will leak? Underlying is the relatively new question of the “space available” in fibers for nanoparticle loading. Here, using supercritical carbon dioxide (scCO2) as a carrier fluid, we explored the impregnation in four Indian silks (Mulberry, Eri, Muga, and Tasar) with five standard sizes of gold nanoparticles (5, 20, 50, 100 and 150 nm in diameter). All silks could be permanently impregnated with nanoparticles up to 150 nm in size under scCO2 impregnation. Accompanying structural changes indicated that the amorphous silk domains reorganized to accommodate the gold NPs. The mechanism was studied in detail in degummed Mulberry silk fibers (i.e., without the sericin coating) with the 5 nm nanoparticle. The combined effects of concentration, time of impregnation, scCO2 pressure, and temperature showed that only a narrow set of conditions allowed for permanent impregnation without deterioration of the properties of the silk fibers.

Background: Altitude related diseases due to low barometric pressure and extreme cold climates are presumed to be the morbidities for soldiers carrying out military operations at altitudes varying from 2500 to 5500 meters above Mean Sea Level (MSL). Aim: The aim of the study was to ascertain high-altitude-related diseases among soldiers

Introduction: For diagnosis, sub-categorization and follow up of Acute Leukemia (AL), phenotypic analysis using flow cytometry is mandatory. Material and methods: We retrospectively analyzed immunophenotypic data along with cytogenetics/molecular genetics data (wherever available) from 631 consecutive cases of AL diagnosed at our flow cytometry laboratory from January 2014 to August 2017. Results: Of the total 631 cases, 52.9% (n=334) were acute lymphoblastic leukemia (ALL), 43.9% (n=277) acute myeloid leukemia (AML), 2.2% (n=14) mixed phenotypic acute leukemia (MPAL) and0.5% (n=3) each of acute undifferentiated leukemia (AUL) and chronic myeloid leukemia in blast crisis (CML-BC). ALL cases comprised of 81.7% (n=273/334) B-cell ALLs (95.2%, n=260/273 common B-ALLs and 4.8%, n=13/273 Pro B-ALLs). CD13 was the commonest cross lineage antigen expressed in B-ALL (25.6%), followed by CD33 (17.9%) and combined CD13/CD33 (11.3%) expression. T-ALLs constituted 18.3% (n=61/334) of total ALLs and included 27.9% (n=17) cortical T- ALLs. CD13 was commonest (32.7%) aberrantly expressed antigen in T-ALLs, followed by CD117 (16.0%). AML cases included 32.1% (n=89/277) AML with recurrent genetic abnormalities, 9.0% (n=25/277) with FLT3/NPM1c mutation and 58.9% (n=163/277) AML NOS including 14.7% (n=24/163) AML M4/M5, 1.8% (n=3/163) AML M6 and 3.7% (n=6/163) AML M7. In AMLs, CD19 aberrancy was the most common (16.3%) followed by CD7 (11.9%). Conclusion: In this study we document the spectrum; correlate the immunophenotype with genetic data of all leukemias, especially with respect to T-ALL where the data from India is scarce.

Mucociliary defense, mediated by the ciliated and goblet cells, is fundamental to respiratory fitness. The concerted action of ciliary movement on the respiratory epithelial surface and the pathogen entrapment function of mucus help to maintain healthy airways. Consequently, genetic or acquired defects in lung defense elicit respiratory diseases and secondary microbial infections that inflict damage on pulmonary function and may even be fatal. Individuals living with chronic and acute respiratory diseases are more susceptible to develop severe coronavirus disease-19 (COVID-19) illness and hence should be proficiently managed. In light of the prevailing pandemic, we review the current understanding of the respiratory system and its molecular components with a major focus on the pathophysiology arising due to collapsed respiratory epithelium integrity such as abnormal ciliary movement, cilia loss and dysfunction, ciliated cell destruction, and changes in mucus rheology. The review includes protein interaction networks of coronavirus infection-manifested implications on the molecular machinery that regulates mucociliary clearance. We also provide an insight into the alteration of the transcriptional networks of genes in the nasopharynx associated with the mucociliary clearance apparatus in humans upon infection by severe acute respiratory syndrome coronavirus-2.

Light-gated ion channel and ion pump rhodopsins are widely used as optogenetic tools and these can control the electrically excitable cells as (1) they are a single-component system i.e., their light sensing and ion-conducting functions are encoded by the 7-transmembrane domains and, (2) they show fast kinetics with small dark-thermal recovery time. In cellular signaling, a signal receptor, modulator, and the effector components are involved in attaining synchronous regulation of signaling. Optical modulation of the multicomponent network requires either receptor to effector encoded in a single ORF or direct modulation of the effector domain through bypassing all upstream players. Recently discovered modular rhodopsins like rhodopsin guanylate cyclase (RhoGC) and rhodopsin phosphodiesterase (RhoPDE) paves the way to establish a proof of concept for utilization of complex rhodopsin (modular rhodopsin) for optogenetic applications. Light sensor coupled modular system could be expressed in any cell type and hence holds great potential in the advancement of optogenetics 2.0 which would enable manipulating the entire relevant cell signaling system. Here, we had identified 50 novel modular rhodopsins with variant domains and their diverse cognate signaling cascades encoded in a single ORF, which are associated with specialized functions in the cells. These novel modular algal rhodopsins have been characterized based on their sequence and structural homology with previously reported rhodopsins. The presented novel modular rhodopsins with various effector domains leverage the potential to expand the optogenetic tool kit to regulate various cellular signaling pathways across the diverse biological model systems.

In bacteria, cyclic adenosine monophosphate (cAMP) signaling plays an essential regulatory role whose modulation via optogenetic tools would provide researchers an immense opportunity to control biological processes simply by illumination. The cAMP signaling in bacteria is a complex network of regulatory pathways, which utilizes distinct proteomic resources under different nutrient environments. We established an optogenetic modulation of cAMP and studied important cellular process of growth, biofilm formation, and virulence in the model bacterium E. coli using a light-gated adenylate cyclase (LgAC) from Beggiatoa sp. Blue light-induced activation of LgAC elevated the cAMP level in a blue light-dependent manner in E. coli. Quantitative proteomics revealed a decrease in the level of certain proteins governing growth (PTS, Adk, AckA, GlnA, and EFP), biofilm formation (IhfA, flagellin, YajQ, YeaG, and HlfC), and virulence (ClpP, YebC, KatE, BtuE, and Zur) in E. coli cells expressing LgAC upon blue light illumination. This optogenetic modulation of cAMP would be useful for deciphering cAMP-associated host–pathogen signaling of bacterial systems. Proteome knowledge established by this research work would also be useful for the scientific community while adapting LgAC-based optogenetic modulation for studying other relevant cAMP-driven bacterial physiology (e.g., energy metabolism). The systematic utilization of the established method and more extensively designed experiments regarding bacterial growth, biofilm, survival, and virulence might provide a road map for the identification of new targets for developing novel antibacterial drugs.

A theory of consciousness, whatever else it may do, must address the structure of experience. Our perceptual experiences are richly structured. Simply seeing a red apple, swaying between green leaves on a stout tree, involves symmetries, geometries, orders, topologies, and algebras of events. Are these structures also present in the world, fully independent of their observation? Perceptual theorists of many persuasions—from computational to radical embodied—say yes: perception veridically presents to observers structures that exist in an observer-independent world; and it does so because natural selection shapes perceptual systems to be increasingly veridical. Here we study four structures: total orders, permutation groups, cyclic groups, and measurable spaces. We ask whether the payoff functions that drive evolution by natural selection are homomorphisms of these structures. We prove, in each case, that generically the answer is no: as the number of world states and payoff values go to infinity, the probability that a payoff function is a homomorphism goes to zero. We conclude that natural selection almost surely shapes perceptions of these structures to be non-veridical. This is consistent with the interface theory of perception, which claims that natural selection shapes perceptual systems not to provide veridical perceptions, but to serve as species-specific interfaces that guide adaptive behavior. Our results present a constraint for any theory of consciousness which assumes that structure in perceptual experience is shaped by natural selection.