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OBJECTIVE: Although previous studies have described phenomenological diagnoses, they lacked description of aetiological spectrum in patients visiting movement disorders (MD) service. Herein, we classify the MD phenomenology and describe aetiology wise distribution of each phenomenology in patients visiting a tertiary care movement disorders service. METHODS: Collected information included demographic profile (age of onset, age at presentation, gender, duration of illness before presentation), predominant MD phenomenology [such as parkinsonism, dystonia, ataxia, tremor, chorea, ballism, myoclonus, tics, stereotypy, restless legs syndrome (RLS) and others], diagnostic evaluations and detected aetiology. RESULTS: This observational study included 1140 MD patients over a span of 5 years. The median (IQR) age of onset was 49 (35-60) years and age at presentation was 54 (40-65) years, with median duration of illness being 36 (18-72) months. Nearly two-third of patients were males (M:F=731:409). Parkinsonism (n=494, 43.3â¯%) was the most common MD phenomenology observed, followed by dystonia (n=219, 19.2â¯%), ataxia (n=125, 11â¯%), tremor (n=118, 10.4â¯%), myoclonus (n=73, 6.4â¯%), chorea (n=40, 3.5â¯%), spasticity (n=22, 1.9â¯%), tics (n=8, 0.7â¯%), and RLS (n=8, 0.7â¯%). Thirty-three (2.9â¯%) patients were grouped under miscellaneous MDs. Overall, neurodegenerative disorders (57.4â¯%) were the most common cause of MDs. Parkinson's disease, genetic dystonia, essential tremor, genetic ataxias, hemifacial spasm, and Huntington's disease were the most common aetiologies for parkinsonism, dystonia, tremor, ataxia, myoclonus, and chorea, respectively. CONCLUSION: Parkinsonism was the most common phenomenology observed in MD patients, and was followed by dystonia, ataxia and tremor. Neurodegenerative disorders were the most common aetiology detected.
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Pigeonpea [Cajanus cajan (L.) Millspaugh] is a widely grown pulse with high seed protein content that contributes to food and nutritional security in the Indian subcontinent. The majority of pigeonpea varieties cultivated in India are of medium duration (<180 days to maturity), which makes it essential for breeders to focus on the development of stable high-yielding varieties. The diverse agroecological regime in the Indian subcontinent necessitates an efficient multi-environment study by taking into consideration genotype (G) × environment (E) interaction (GEI) that has a significant impact on traits like grain yield (GY) in developing high-yielding and widely adaptable varieties. In the present study, 37 pigeonpea genotypes were evaluated during the 2021 rainy season at ARS Badnapur, ARS Tandur, BAU Ranchi, GKVK Bengaluru, and ICRISAT Patancheru. The GEI was significant on the grain yield (p < 0.01), and hence, genotype + genotype × environment (GGE) and additive main effects and multiplicative interaction (AMMI) biplots along with AMMI stability value (ASV) and yield relative to environmental maximum (YREM) statistics were used to identify stable high-yielding genotypes. The interaction principal component analysis 1 and 2 (IPC1 and IPC2) explained 40.6% and 23.3% variations, respectively. Based on the rankings of genotypes, G37 (ICPL 20205), G35 (ICPL 20203), G8 (ICPL 19404), G17 (ICPL 19415), and G9 (ICPL 19405) were identified as ideal genotypes. Discriminativeness vs. representativeness identified GKVK Bengaluru as an ideal environment for comprehensive evaluation of test genotypes. However, ICPL 19405 was identified as the potentially stable high-yielding genotype for further testing and release across the test environments based on its mean grain yield (1,469.30 kg/ha), least ASV (3.82), and low yield stability index (YSI) of 13.
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Aims: Catheter ablation, consisting of pulmonary vein isolation (PVI), is the most effective treatment modality for the management of symptomatic patients with atrial fibrillation (AF). Unfortunately, this procedure has a considerable relapse rate, ranging from 15 to 50% depending on AF type and other patient factors. Hypertension (HTN) is associated with a higher risk of developing AF and can also be managed with a catheter-based procedure-renal denervation (RDN). This meta-analysis aimed to compare the effect of PVI with and without RDN in hypertensive patients with AF. Methods and results: OVID MEDLINE and Embase were searched on 1 February 2023 and trials that reported the effects of RDN on AF recurrence in hypertensive patients were included. A total of 637 patients across 8 randomised controlled trials were included. The results from the pooled analysis showed that when compared with PVI alone, RDN added to PVI: (1) Lowered AF recurrence [RR 0.67 (0.53, 0.85), P = 0.001, I 2 = 23%, NNT = 5.9 patients]; (2) Reduced both systolic blood pressure and diastolic blood pressure, with medium effect size, as reflected by standardised mean differences of 0.5 (P = 0.02, I 2 = 80%) and 0.43 (P = 0.006, I 2 = 60%), respectively; and (3) was not associated with a decrease in estimated glomerular filtration rate (+7.19â mL/min/1.73 m2, P = 0.15, I 2 = 89%). Conclusion: Adding RDN to PVI in patients with AF and resistant HTN was associated with a reduction of blood pressure levels and AF recurrence. Consideration to RDN should be given as an adjunctive treatment for patients with AF and resistant HTN.
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Variational quantum algorithms, a popular heuristic for near-term quantum computers, utilize parameterized quantum circuits which naturally express Lie groups. It has been postulated that many properties of variational quantum algorithms can be understood by studying their corresponding groups, chief among them the presence of vanishing gradients or barren plateaus, but a theoretical derivation has been lacking. Using tools from the representation theory of compact Lie groups, we formulate a theory of barren plateaus for parameterized quantum circuits whose observables lie in their dynamical Lie algebra, covering a large variety of commonly used ansätze such as the Hamiltonian Variational Ansatz, Quantum Alternating Operator Ansatz, and many equivariant quantum neural networks. Our theory provides, for the first time, the ability to compute the exact variance of the gradient of the cost function of the quantum compound ansatz, under mixing conditions that we prove are commonplace.
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In this report, we have developed highly water soluble and stable silver nanoparticles (Ag NPs) utilizing N-Cholyl Mercapto Histidine (NCMH) as a reducing and stabilizing agent with near the primary critical micellar concentration (CMC) under ambient sunlight irradiation. Moreover, The NCMH was firstly synthesized by demonstrating the reaction between cholic acid and 2- Mercapto Histidine through a simple acid amine coupling approach. The primary and secondary CMC of NCMH surfactant was measured by pyrene (1 × 10-6 M) as a fluorescent probe, and values were found to be 3.2 and 13.1 mM respectively. The synthesized Ag NPs showed at neutral pH and highly stable for more than one year without any noticeable aggregation. The TEM analysis displays the synthesized Ag NPs having a spherical shape and average size of 9.6 ± 0.5 nm. The synthesis of stabilized Ag NPs was used for ultra-sensitive and selective detection of Hg2+ ions in aqueous medium were monitored by Uv-visible spectrometer and naked eyes with a lowest limit of detection (LOD) 7 nM. The photo-catalytic degradation of methyl orange (MO) by utilizing Ag NPs as nano-catalyst exhibits a potential degradation within a study period of 180 min. Concluding that, facile and cost effective green synthesis of NCMH capped Ag NPs possess excellent reducing ability towards the selective detection of Hg2+ ions along with photo-catalytic degradation of MO dye. These true findings detached an innovative pathway of Ag NPs towards the reactivity against the catalytic activity of dye degradation and selective sensing of Hg2+ ions. Thus it paves the way for extensive range of novel potential applications of Ag NPs in various environment friendly approaches of sensitive and analytical protocol in the future.
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Azo Compounds , Mercury , Metal Nanoparticles , Silver , Silver/chemistry , Azo Compounds/chemistry , Metal Nanoparticles/chemistry , Mercury/chemistry , Mercury/analysis , Catalysis , Histidine/chemistry , Green Chemistry Technology/methods , Water Pollutants, Chemical/analysis , Water Pollutants, Chemical/chemistry , Limit of Detection , Ions/chemistryABSTRACT
PURPOSE: To conduct a systematic review to assess drug exposure handling in diabetic retinopathy (DR) risk prediction models, a network-meta-analysis to identify drugs associated with DR and a meta-analysis to determine which drugs contributed to enhanced model performance. DESIGN: Systematic review and meta-analysis. METHODS: We included studies presenting DR models incorporating drug exposure as a predictor. We searched EMBASE, MEDLINE, and SCOPUS from inception to December 2023. We evaluated the quality of studies using the Prediction model Risk of Bias Assessment Tool and certainty using GRADE. We conducted network meta-analysis and meta-analysis to estimate the odds ratio (OR) and pooled C-statistic, respectively, and 95% confidence intervals (CI) (PROSPERO: CRD42022349764). RESULTS: Of 5,653 records identified, we included 28 studies of 678,837 type 1 or 2 diabetes participants, of which 38,579 (5.7%) had DR. A total of 19, 3, and 7 studies were at high, unclear, and low risk of bias, respectively. Drugs included in models as predictors were: insulin (n = 24), antihypertensives (n = 5), oral antidiabetics (n = 12), lipid-lowering drugs (n = 7), antiplatelets (n = 2). Drug exposure was modelled primarily as a categorical variable (n = 23 studies). Two studies handled drug exposure as time-varying covariates, and one as a time-dependent covariate. Insulin was associated with an increased risk of DR (OR = 2.50; 95% CI: 1.61-3.86). Models that included insulin (n = 9) had a higher pooled C-statistic (C-statistic = 0.84, CI: 0.80-0.88), compared to models (n = 9) that incorporated a combination of drugs alongside insulin (C-statistic = 0.79, CI: 0.74-0.84), as well as models (n = 3) not including insulin (C-statistic = 0.70, CI: 0.64-0.75). Limitations include the high risk of bias and significant heterogeneity in reviewed studies. CONCLUSION: This is the first review assessing drug exposure handling in DR prediction models. Drug exposure was primarily modelled as a categorical variable, with insulin associated with improved model performance. However, due to suboptimal drug handling, associations between other drugs and model performance may have been overlooked. This review proposes the following for future DR prediction models: (1) evaluation of drug exposure as a variable, (2) use of time-varying methodologies, and (3) consideration of drug regimen details. Improving drug exposure handling could potentially unveil novel variables capable of significantly enhancing the predictive capability of prediction models.
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Background/Aims: To study the association of infertility in patients with Budd Chiari syndrome, radiological aspects of the disease determining infertility and to see if there are improved chances of conception following radiological intervention. Methods: Retrospective search of the hospital records was done and patients with Budd Chiari syndrome, who underwent radiological intervention between January 2016 till October 2021 were initially included. Patients outside the reproductive age group, unmarried patients, patients who did not attempt conception or attempted for less than 1 year and patients having other causes of infertility were excluded. 90 patients were assessed for presence of primary or secondary infertility using infertility questionnaire. In patients with infertility, conception during 1-year follow-up period following radiological intervention, was assessed. Results: 146 patients underwent radiological intervention for Budd Chiari syndrome in the study period. 56 patients meeting the exclusion criteria were excluded from the study and subsequently 90 patients were assessed for infertility. 16.7% (15/90) of our patients with Budd Chiari syndrome had infertility, of which 7 were male, and 8 were female. Infertility is more common in younger age group (mean - 28.8 ± 4.2 years) (P < 0.001). In females, presence of pelvic venous congestion on preprocedural imaging showed significant association with infertility (P < 0.001). 6 (40%) out of 15 of patients with infertility conceived during a 1-year follow-up period after radiological intervention. Conclusion: Infertility is a common in patients with Budd Chiari syndrome, with a prevalence of 16.7%. Pelvic venous congestion is associated with women having infertility. Radiological interventions play important role in management of Budd Chiari and may help to overcome infertility in these patients.
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The perinatal period is a critical phase in a woman's life characterized by significant physical, emotional, and societal changes. Sleep disorders such as insomnia, restless legs syndrome, obstructive sleep apnea, and poor sleep quality have been observed to increase in prevalence during the perinatal period. Given the harmful impact of sleep disturbances on the health of both mother and newborn, it is crucial to diagnose and treat them promptly. There is a paucity of literature on sleep problems during the perinatal period. This narrative review aimed to summarize the existing evidence and provide suggestions for promptly identifying and managing these disorders.
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INTRODUCTION: There have been concerns around the use of synthetic mesh for stress urinary incontinence (SUI) surgery with a renewed interest in the use of autologous tissues. Recently, an autologous transobturator sling (aTOT) has been described, but the comparative data with synthetic transobturator sling (sTOT) is limited. The objective of this systematic review and meta-analysis was to assess the outcome of aTOT and compare it with sTOT. METHODS: A systematic search of PubMed, Scopus, and Web of Science databases was performed and all articles available up to December 31, 2023 were screened. Studies reporting on the outcomes of aTOT and those comparing aTOT with sTOT were included. This review was performed as per Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. RESULTS: Eleven studies evaluating 323 patients that met the criteria were included in the final analysis, of which 6 were single arm (155 patients) and 5 were comparative. In single-arm studies, the pooled success rate, defined as negative cough stress test at 12 months follow-up was 96.8%, 3.8% had postoperative urinary retention, 6.1% had graft site-related complications and 7.6% required additional intervention for persistent SUI. The overall complication rate was 20.6% and there were no Clavien III-V complications. aTOT had similar success and complication rates when compared with sTOT but had a significantly longer operative time (weighted mean difference: 22.35 min, p < 0.00001) and superior sexual function outcomes. CONCLUSIONS: aTOT, at short-term follow-up (12 months), has similar efficacy and complication rates when compared to sTOT. However, given that the data is limited and not of very good quality, and the fact that long-term follow-up is not available, further studies are required to better define the role of aTOT in the management of female patients with SUI.
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Background and Aims: Tracheal extubation often causes cardiovascular and airway responses, potentially resulting in hazardous consequences. It remains unknown whether dexmedetomidine or lidocaine is more effective for cough suppression. Hence, we conducted a systematic review and meta-analysis of randomised controlled trials to compare the effectiveness and safety of dexmedetomidine and lidocaine in reducing cough response after tracheal extubation in adult patients. Methods: A thorough search of electronic databases, including PubMed, Embase, Cochrane Library, and Web of Science, was conducted to identify relevant studies (from inception to 31 January 2023). Randomised controlled trials comparing intravenous (IV) dexmedetomidine versus IV lidocaine administration during emergence from anaesthesia to prevent tracheal extubation response in adult patients under general anaesthesia were included. The primary outcome was the incidence of post-extubation cough. Secondary outcomes included emergence time, extubation time, residual sedation, and incidences of bradycardia. Statistical analysis was conducted using RevMan software. The Cochrane risk of bias tool was used to evaluate the potential risk for bias. Results: In total, seven studies with 450 participants were included. There was no statistically significant difference in the incidence of cough between dexmedetomidine and lidocaine groups [Risk Ratio = 0.76; 95% Confidence Interval: 0.46, 1.24]. Emergence and extubation times were not significantly different between the two groups. Meta-analysis revealed a higher incidence of bradycardia and residual sedation in dexmedetomidine compared to the lidocaine group. Conclusion: This meta-analysis found no difference in cough, emergence, and extubation time between dexmedetomidine and lidocaine after tracheal extubation. However, residual sedation and bradycardia were more significant in dexmedetomidine than in lidocaine.
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AIMS: The viability of cardiac resynchronization therapy (CRT) in inotrope-dependent heart failure (HF) has been a matter of debate. METHODS AND RESULTS: We searched Medline, EMBASE, Scopus, and the Cochrane Library until 31 December 2022. Studies were included if (i) HF patients required inotropic support at CRT implantation; (ii) patients were ≥18 years old; and (iii) they provided a clear definition of 'inotrope dependence' or 'inability to wean'. A meta-analysis was performed in R (Version 3.5.1). Nineteen studies comprising 386 inotrope-dependent HF patients who received CRT (mean age 64.4 years, 76.9% male) were included. A large majority survived until discharge at 91.1% [95% confidence interval (CI): 81.2% to 97.6%], 89.3% were weaned off inotropes (95% CI: 77.6% to 97.0%), and mean discharge time post-CRT was 7.8 days (95% CI: 3.9 to 11.7). After 1 year of follow-up, 69.7% survived (95% CI: 58.4% to 79.8%). During follow-up, the mean number of HF hospitalizations was reduced by 1.87 (95% CI: 1.04 to 2.70, P < 0.00001). Post-CRT mean QRS duration was reduced by 29.0 ms (95% CI: -41.3 to 16.7, P < 0.00001), and mean left ventricular ejection fraction increased by 4.8% (95% CI: 3.1% to 6.6%, P < 0.00001). The mean New York Heart Association (NYHA) class post-CRT was 2.7 (95% CI: 2.5 to 3.0), with a pronounced reduction of individuals in NYHA IV (risk ratio = 0.27, 95% CI: 0.18 to 0.41, P < 0.00001). On univariate analysis, there was a higher prevalence of males (85.7% vs. 40%), a history of left bundle branch block (71.4% vs. 30%), and more pronounced left ventricular end-diastolic dilation (274.3 ± 7.2 vs. 225.9 ± 6.1 mL). CONCLUSIONS: CRT appears to be a viable option for inotrope-dependent HF, with some of these patients seeming more likely to respond.
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INTRODUCTION: Medical education poses serious stressors on medical students, as they report overall higher rates of psychiatric comorbidities compared with students enrolled in other university-level courses. The high rates of poor well-being reported should be considered a concern, as students represent the future workforce of healthcare professionals. Although there has been an increased interest towards well-being and burn-out in medical students, there is still much to be elucidated. Indeed, there is an overall lack of understanding of which attitudes medical students have towards well-being and welfare, something that could be used to develop targeted practice to improve medics' quality of life and reduce overall burn-out.This review will aim at evaluating and reporting the current research available on medical students' attitudes towards well-being and welfare. We will take into account which countries have published data on the topic, and we will analyse papers written during the COVID-19 period separately, giving this particular time frame a separate outlook. METHODS AND ANALYSIS: This systematic review protocol has been developed following Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. A systematic search including "medical students" AND "wellbeing" AND "perceptions" was carried out on MEDLINE, Embase and Scopus databases. The Mixed Method Appraisal Tool will be used to assess the quality of the available studies and risk of bias. Studies will be screened using predetermined inclusion and exclusion criteria. Data will be summarised narratively and in tabular forms. A narrative subgroup analysis of the COVID-19 period will be carried out, and a country-wise approach will be used to describe which areas have published relevant studies. ETHICS AND DISSEMINATION: This will be the first systematic review looking at the reported attitudes that medical students have towards well-being and welfare. This will provide an account of the available data on the topic, and a starting point to understand where further research is needed in the future. PROSPERO REGISTRATION NUMBER: CRD42023471022.
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Students, Medical , Systematic Reviews as Topic , Humans , Students, Medical/psychology , COVID-19/psychology , COVID-19/epidemiology , Quality of Life , Attitude of Health Personnel , Research Design , SARS-CoV-2ABSTRACT
Perioperative management of a patient with multiple comorbidities, being taken up for an emergency neurosurgical procedure presents a unique set of challenges to the anesthetist as it requires quick preoperative evaluation in order to avoid any delay in the surgery and limit the extent of cerebral injury. This case report highlights the perioperative management of a 55-year-old obese male patient, with a history of hypertension and coronary artery disease with a permanent pacemaker presenting to the emergency with weakness of right upper and lower limbs, suggestive of an acute stroke due to intracerebral hemorrhage. The patient was taken up for emergency decompressive craniectomy in view of increasing intracranial pressure and deteriorating consciousness. The pacemaker could not be changed to asynchronous mode in the preoperative period due to the non-availability of a magnet and trained personnel from the company of the pacemaker to change the settings immediately. Intraoperatively, all the necessary precautions for the prevention of pacemaker-related complications were followed. After the completion of the surgery, the patient was shifted to the neuro-intensive care unit for postoperative management.
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The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm for solving optimization problems on quantum computers. However, the potential of QAOA to tackle classically intractable problems remains unclear. Here, we perform an extensive numerical investigation of QAOA on the low autocorrelation binary sequences (LABS) problem, which is classically intractable even for moderately sized instances. We perform noiseless simulations with up to 40 qubits and observe that the runtime of QAOA with fixed parameters scales better than branch-and-bound solvers, which are the state-of-the-art exact solvers for LABS. The combination of QAOA with quantum minimum finding gives the best empirical scaling of any algorithm for the LABS problem. We demonstrate experimental progress in executing QAOA for the LABS problem using an algorithm-specific error detection scheme on Quantinuum trapped-ion processors. Our results provide evidence for the utility of QAOA as an algorithmic component that enables quantum speedups.
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Background and Objective: While optical coherence tomography (OCT) is explored as a potential biomarker in Parkinson's disease (PD), technetium-99m-labeled tropane derivative (99mTc-TRODAT-1) single-photon emission computed tomography (SPECT) imaging has a proven role in diagnosing PD. Our objective was to compare the OCT parameters in PD patients and healthy controls (HCs) and correlate them with 99mTc-TRODAT-1 parameters in PD patients. Materials and Methods: This cross-sectional study included 30 PD patients and 30 age- and gender-matched HCs. Demographic data, PD details including Movement Disorders Society Unified Parkinson's Disease Rating Scale-III (MDS-UPDRS-III) and Hoehn-Yahr (HY) staging, and OCT parameters including macular and peripapillary retinal nerve fiber layer (RNFL) thickness in bilateral eyes were recorded. PD patients underwent 99mTc-TRODAT-1 SPECT imaging. The terms "ipsilateral" and "contralateral" were used with reference to more severely affected body side in PD patients and compared with corresponding sides in HCs. Results: PD patients showed significant ipsilateral superior parafoveal quadrant (mean ± standard deviation [SD] = 311.10 ± 15.90 vs. 297.57 ± 26.55, P = 0.02) and contralateral average perifoveal (mean ± SD = 278.75 ± 18.97 vs. 269.08 ± 16.91, P = 0.04) thinning compared to HCs. Peripapillary RNFL parameters were comparable between PD patients and HCs. MDS-UPDRS-III score and HY stage were inversely correlated to both ipsilateral (Spearman rho = -0.52, P = 0.003; Spearman rho = -0.47, P = 0.008) and contralateral (Spearman rho = -0.53, P = 0.002; Spearman rho = -0.58, P < 0.001) macular volumes, respectively. PD duration was inversely correlated with ipsilateral temporal parafoveal thickness (ρ = -0.41, P = 0.02). No correlation was observed between OCT and 99mTc-TRODAT-1 SPECT parameters in PD patients. Conclusion: Compared to HCs, a significant thinning was observed in the ipsilateral superior parafoveal quadrant and the contralateral average perifoveal region in PD patients. Macular volume and ipsilateral temporal parafoveal thickness were inversely correlated with disease severity and duration, respectively. OCT and 99mTc-TRODAT-1 SPECT parameters failed to correlate in PD patients.
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Communication is challenging for disabled individuals, but with advancement of brain-computer interface (BCI) systems, alternative communication systems can be developed. Current BCI spellers, such as P300, SSVEP, and MI, have drawbacks like reliance on external stimuli or conversation irrelevant mental tasks. In contrast to these systems, Imagined speech based BCI systems rely on directly decoding the vowels/words user is thinking, making them more intuitive, user friendly and highly popular among Brain-Computer-Interface (BCI) researchers. However, more research needs to be conducted on how subject-specific characteristics such as mental state, age, handedness, nativeness and resting state activity affects the brain's output during imagined speech. In an overt speech, it is evident that native and non-native speakers' brains function differently. Therefore, this paper explores how nativeness to language affects EEG signals while imagining vowel phonemes, using brain-map analysis and scalogram and also investigates the inclusion of features extracted from resting state EEG with imagined state EEG. The Fourteen-channel EEG for Imagined Speech (FEIS) dataset was used to analyse the EEG signals recorded while imagining vowel phonemes for 16 subjects (nine native English and seven non-native Chinese). For the classification of vowel phonemes, different connectivity measures such as covariance, coherence, and Phase Synchronous Index-PSI were extracted and analysed using statistics based Multivariate Analysis of Variance (MANOVA) approach. Different fusion strategies (difference, concatenation, Common Spatial Pattern-CSP and Canonical Correlation Analysis-CCA) were carried out to incorporate resting state EEG connectivity measures with imagined state connectivity measures for enhancing the accuracy of imagined vowel phoneme recognition. Simulation results revealed that concatenating imagined state and rest state covariance and PSI features provided the maximum accuracy of 92.78% for native speakers and 94.07% for non-native speakers.
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Background: Investigating the metabolic behaviour of different cellular phenotypes, i.e., good/bad grower and/or producer, in production culture is important to identify the key metabolite(s)/pathway(s) that regulate cell growth and/or recombinant protein production to improve the overall yield. Currently, LC-MS, GC-MS and NMR are the most used and advanced technologies for investigating the metabolome. Although contributed significantly in the domain, each technique has its own biasness towards specific metabolites or class of metabolites due to various reasons including variability in the concept of working, sample preparation, metabolite-extraction methods, metabolite identification tools, and databases. As a result, the application of appropriate analytical technique(s) is very critical. Purpose and scope: This review provides a state-of-the-art technological insights and overview of metabolic mechanisms involved in regulation of cell growth and/or recombinant protein production for improving yield from CHO cultures. Summary and conclusion: In this review, the advancements in CHO metabolomics over the last 10 years are traced based on a bibliometric analysis of previous publications and discussed. With the technical advancement in the domain of LC-MS, GC-MS and NMR, metabolites of glycolytic and nucleotide biosynthesis pathway (glucose, fructose, pyruvate and phenylalanine, threonine, tryptophan, arginine, valine, asparagine, and serine, etc.) were observed to be upregulated in exponential-phase thereby potentially associated with cell growth regulation, whereas metabolites/intermediates of TCA, oxidative phosphorylation (aspartate, glutamate, succinate, malate, fumarate and citrate), intracellular NAD+/NADH ratio, and glutathione metabolic pathways were observed to be upregulated in stationary-phase and hence potentially associated with increased cell-specific productivity in CHO bioprocess. Moreover, each of technique has its own bias towards metabolite identification, indicating their complementarity, along with a number of critical gaps in the CHO metabolomics pipeline and hence first time discussed here to identify their potential remedies. This knowledge may help in future study designs to improve the metabolomic coverage facilitating identification of the metabolites/pathways which might get missed otherwise and explore the full potential of metabolomics for improving the CHO bioprocess performances.
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Microplastics (MPs) pollution and their impact on plants have become a global threat, but their effect at the molecular level remains scarce. This study aims to gain insight into the effects of polyvinylchloride microplastic (PVC-MP) on tomato plants at the genetic and protein levels. In this study, we found that increasing concentrations of PVC-MP (2.5, 5,7.5, and 10% w/w) in the soil did not cause any phytotoxic (chlorosis or necrosis) symptoms but it did result in a dose-dependent reduction in plant growth-related parameters, such as height, leaf area, stem diameter, and plant fresh and dry weight. Additionally, the number of secondary roots was reduced while the primary roots were elongated. Furthermore, PVC-MP also caused a significant decrease in light-harvesting pigments chlorophylls, and carotenoids while increasing the level of reactive oxygen species (ROS) and lipid peroxidation in plants. Microscopic analysis of the roots revealed the uptake of PVC-MP of size less than 10 µm. Micro- and macro-element analysis showed changes in concentrations of Ca, Cu, Fe, Mg, Mn, Ni, and Zn, upon PVC-MP exposure. Results from western blotting and q-PCR showed that higher doses of PVC-MP significantly reduced the CO2-fixing enzyme RuBisCO and D1 proteins of PSII at both protein and transcript levels. These findings suggest that lower levels of light-harvesting pigments, D1 protein, RuBisCO, and modulation of nutrient absorption are among the factors responsible for growth suppression in tomato plants upon exposure to PVC-MP. As tomato plants are economically significant crops, an increase in PVC-MP in agricultural fields may have a detrimental influence on crop production, resulting in economic loss.
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Microplastics , Photosynthesis , Polyvinyl Chloride , Soil Pollutants , Solanum lycopersicum , Solanum lycopersicum/drug effects , Solanum lycopersicum/growth & development , Solanum lycopersicum/metabolism , Soil Pollutants/toxicity , Soil Pollutants/metabolism , Photosynthesis/drug effects , Microplastics/toxicity , Nutrients/metabolism , Plant Roots/drug effects , Plant Roots/metabolism , Plant Roots/growth & development , Chlorophyll/metabolism , Reactive Oxygen Species/metabolismABSTRACT
BACKGROUND: Patients having COPD share some factors, e.g., chronic hypoxemia, anemia of chronic disease and nicotine use, which are also the risk factors for RLS hence predispose them to experience RLS in higher then general population. There are limited studies with methodological constraints evaluating the prevalence and/or correlates of RLS among patients with COPD. METHODS: Consecutive adult patients of either gender, having stable COPD as per GOLD guidelines 2021, were assessed for RLS using IRLSSG (2014) criteria (excluding RLS mimics) and the severity of RLS was determined in participants having RLS. Phenomenology of RLS, past medical history and laboratory parameters were gathered. Insomnia and depression were assessed using the insomnia severity index and PHQ-9, respectively. RESULTS: Participants' (N = 210) mean age was 63.02 ± 8.19 years, and 83.8% of subjects were men. 12.9% of participants were found to have RLS. Among those having RLS, nearly half (51.9%) had moderate symptoms, and 18.5% experienced severe symptoms. RLS was more prevalent among younger, females, those having severe COPD, participants having exacerbation of COPD in the previous year, lower post-bronchodilator FEV1, higher dyspnea and COPD assessment test score. Multivariate analysis showed that younger age, female gender, lower post-bronchodilator FEV1, lower FEV1/FVC ratio and higher serum creatinine increased the odds of having RLS. Depressive symptoms were more frequent in participants having RLS. CONCLUSIONS: The present study found that the prevalence of RLS among patients with stable COPD was higher than the general population. Female gender, younger age, higher airflow limitation and higher serum creatinine (though in the physiological range) increase the odds of having RLS. Stable patients with COPD having these characteristics must be screened for RLS.