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Population projection for many developing countries could be quite a challenging task for the demographers mostly due to lack of availability of enough reliable data. The objective of this paper is to present an overview of the existing methods for population forecasting and to propose an alternative based on the Bayesian statistics, combining the formality of inference. The analysis has been made using Markov Chain Monte Carlo (MCMC) technique for Bayesian methodology available with the software WinBUGS. Convergence diagnostic techniques available with the WinBUGS software have been applied to ensure the convergence of the chains necessary for the implementation of MCMC. The Bayesian approach allows for the use of observed data and expert judgements by means of appropriate priors, and a more realistic population forecasts, along with associated uncertainty, has been possible. [ABSTRACT FROM AUTHOR]

The widespread use of herbicides like dinitro- o -cresol (DNOC) and veterinary drugs such as furaltadone (FLT) has surged to meet agricultural and animal husbandry demands, raising significant health and environmental concerns due to their extensive use and unregulated disposal. To address this issue, herein, we developed an imidazole-functionalized metal-organic framework (MOF)-based fluorometric dual sensor for rapid and selective detection of these analytes in aqueous medium. The present MOF-based probe demonstrated 82% fluorescence quenching upon DNOC introduction, whereas 89% quenching occurred in the presence of FLT. The probe exhibited notably high sensitivity, with the lowest ever reported limit of detection (LOD) of 0.5 nM for DNOC and 1.1 nM for FLT. The highest reported Stern-Volmer quenching constant ( K SV ) value of 5 × 10 7 M -1 and 2 × 10 7 M -1 for DNOC and FLT, respectively, further indicates the extraordinary sensitivity of the sensor towards these targeted analytes. The MOF showed a rapid response time of 5 s for both DNOC and FLT. The sensor also demonstrated outstanding selectivity even in the presence of interfering substances, proving effective in various complex environments such as serum, urine, wastewater, and different pH media. We thoroughly investigated the sensor's working mechanisms using different advanced analytical techniques to understand its high selectivity towards the targeted analytes. These findings underscore the sensor's practical and potential real-world applications, offering a valuable tool for environmental pollution monitoring and public health protection.

The extensive use of insecticides, such as pyrethroids, and pharmaceutical drugs, such as doxorubicin (DOX) has significantly increased to meet the growing demand for food production and disease treatment. Among them, 3-phenoxybenzoic acid (3-PBA), a metabolite of pyrethroid insecticides, poses various health and environmental risks. Similarly, DOX is a well-known anticancer drug and has been continuously used for many years. The high demand and unregulated disposal of these substances raise concerns for both humans and the environment. To address this issue, there is a pressing need to monitor the presence of these analytes in wastewater to protect our ecosystems. This challenge has inspired us to develop an MOF-based fluorometric dual sensor capable of rapid and selective detection of these analytes in aqueous solutions. This work represents the first MOF-based dual probe for detecting these targeted analytes. There was a 98% fluorescence quenching upon the introduction of DOX whereas about a 11-fold increment of the probe's fluorescence intensity took place in the presence of 3-PBA. The sensitivity of the probe is notably high as limits of detection (LOD) are 8.7 nM for DOX and 1.2 nM for 3-PBA. Our designed probe has the highest K SV value for DOX which is 3.37 × 10 6 M -1 . The MOF demonstrated remarkable rapid response time of just 5 and 10 s for DOX and 3-PBA, respectively. The MOF exhibited outstanding selectivity in detecting DOX and 3-PBA, even when other interfering substances were present. We tested the probe's sensing abilities in various environments, such as serum, urine, wastewater, and different pH levels. These findings underscore the sensor's practicality and usefulness in real-world applications. The underlying mechanisms driving the sensing processes were thoroughly investigated by using various modern analytical methods.

The monitoring and precise determination of pesticides and pharmaceutical drugs and their residues have become increasingly important in the field of food safety and water contamination issues. Herein, a fluorescent aluminium MOF-based sensor (1) was developed for the selective recognition of neonicotinoid insecticide dinotefuran and anti-Parkinson's drug entacapone. Guest-free MOF 1' exhibited ultra-fast response (<5 s) and ultra-low detection limits of 2.3 and 7.6 nM for dinotefuran and entacapone, which are lower than the previously reported MOF-based sensors. In the presence of other competitive analytes, great selectivity was achieved towards both analytes. The probe was recyclable up to five cycles. The sensing ability was explored towards entacapone in human serum, urine and dinotefuran in real soil, rice, honey samples, different fruits, vegetables, real water specimens and a wide range of pH media. A low-cost, handy MOF-based polymer thin-film composite (1'@PVDF-PVP) was developed for the on-site detection of dinotefuran and entacapone. Mechanistic studies involving analytical techniques and theoretical calculations suggested that FRET and PET are the probable reasons for entacapone sensing whereas IFE is responsible for dinotefuran detection. The entire work presents a low cost, multi-use photoluminescent sensor of entacapone and dinotefuran to address the environmental pollution., (© 2024 Wiley-VCH GmbH.)

The vast majority of heart attacks occur when vulnerable plaques rupture, releasing their lipid content into the blood stream leading to thrombus formation and blockage of a coronary artery. Detection of these unstable plaques before they rupture remains a challenge. Hemodynamic features including wall shear stress (WSS) and wall shear stress gradient (WSSG) near the vulnerable plaque and local inflammation are known to affect plaque instability. In this work, a computational workflow has been developed to enable a comprehensive parametric study detailing the effects of 3D plaque shape on local hemodynamics and their implications for plaque instability. Parameterized geometric 3D plaque models are created within a patient-specific coronary artery tree using a NURBS (non-uniform rational B-splines)-based vascular modeling pipeline. Realistic blood flow features are simulated by using a Navier-Stokes solver within an isogeometric finite-element analysis framework. Near wall hemodynamic quantities such as WSS and WSSG are quantified, and vascular distribution of an inflammatory marker (VCAM-1) is estimated. Results show that proximally skewed eccentric plaques have the most vulnerable combination of high WSS and high positive spatial WSSG, and the presence of multiple lesions increases risk of rupture. The computational tool developed in this work, in conjunction with clinical data, -could help identify surrogate markers of plaque instability, potentially leading to a noninvasive clinical procedure for the detection of vulnerable plaques before rupture., (© 2024. The Author(s).)

Chronic obstructive pulmonary disease (COPD) is a preventable and treatable disease of airflow limitation that is not fully reversible. COPD affects the lungs and produces significant systemic consequences. In Bangladesh, the prevalence of COPD after 40 years of age is 21.24% and the general population is 4.3%. COPD leads to a sedentary life, which reduces the functional status of the individual. Functional status assessment is vital for appropriate therapy and rehabilitation programs in COPD patients. A Sit-to-stand test (STST) has been proposed as a better alternative to 6MWT, but a Squat-to-stand test (SqTST) to test their ability to stand from the squatting position will be more appropriate in rural patients. This study was conducted using a cross-sectional observational design from July 2020 and September 2021 in the Department of Respiratory Medicine at the National Institute of Diseases of the Chest and Hospital, Bangladesh. Sixty (60) diagnosed cases of COPD patients were enrolled in this study. Severities of airflow obstruction according to GOLD were categorized on the basis of post-bronchodilator FEV₁ by spirometry. SqTST was performed on all patients, and functional status was recorded. All data were collected using a preformed questionnaire. Statistical analyses of the findings were carried out using SPSS version 23.0. In this study, the majority of 21(35.0%) patients had very severe COPD, and almost half (48.3%) of the patients had abnormal SqTST. A significant relation was found between the severity of COPD with SqTST (p=0.001). Based on the receiver-operator characteristic (ROC) curve, SqTST had an area under curve 0.901. SqTST had 82.1% sensitivity, 85.7% specificity, 83.3% accuracy, 91.4% positive predictive value, and 72.0% negative predictive value to find severe COPD cases in stable COPD patients. ROC was constructed using SqTST, which gave a cut-off value <7.0, with 82.1% sensitivity and 85.7% specificity for predicting severe COPD. From this study, it may be concluded that SqTST is a clinically useful tool to assess the functional status of stable COPD patients.

The increasing utilization of hydrazine and its derivatives across diverse sectors highlights the pressing need for efficient detection methods to safeguard human health and the environment. Likewise, nicardipine, a widely used medication for heart diseases, necessitates accurate sensing techniques for clinical research and therapeutic monitoring. Here, we propose a novel approach using a naphthalimide-functionalized Zr-MOF as a fluorometric probe capable of detecting both hydrazine and nicardipine in aqueous medium. Our designed probe exhibited a significant 31-fold increase in fluorescence intensity upon interaction with hydrazine. At the same time, nicardipine induced 86% fluorescence quenching with an exceptionally rapid response time (100 s for hydrazine and 5 s for nicardipine). The designed probe has the ability to detect both analytes at nanomolar concentrations (LOD for hydrazine is 1.11 nM while that for nicardipine is 9.6 nM). Investigation across various wastewater samples and pH conditions further validated its practical utility. The mechanism behind fluorometric sensing of nicardipine was thoroughly investigated using modern instrumentation. Our study presents a versatile and effective approach for detecting hydrazine and nicardipine, addressing crucial needs in both industrial and biomedical contexts.

The glymphatic system is a brain-wide system of perivascular networks that facilitate exchange of cerebrospinal fluid (CSF) and interstitial fluid (ISF) to remove waste products from the brain. A greater understanding of the mechanisms for glymphatic transport may provide insight into how amyloid beta ( A β ) and tau agglomerates, key biomarkers for Alzheimer's disease and other neurodegenerative diseases, accumulate and drive disease progression. In this study, we develop an image-guided computational model to describe glymphatic transport and A β deposition throughout the brain. A β transport and deposition are modeled using an advection-diffusion equation coupled with an irreversible amyloid accumulation (damage) model. We use immersed isogeometric analysis, stabilized using the streamline upwind Petrov-Galerkin (SUPG) method, where the transport model is constructed using parameters inferred from brain imaging data resulting in a subject-specific model that accounts for anatomical geometry and heterogeneous material properties. Both short-term (30-min) and long-term (12-month) 3D simulations of soluble amyloid transport within a mouse brain model were constructed from diffusion weighted magnetic resonance imaging (DW-MRI) data. In addition to matching short-term patterns of tracer deposition, we found that transport parameters such as CSF flow velocity play a large role in amyloid plaque deposition. The computational tools developed in this work will facilitate investigation of various hypotheses related to glymphatic transport and fundamentally advance our understanding of its role in neurodegeneration, which is crucial for the development of preventive and therapeutic interventions., Competing Interests: Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Few seroprevalence studies have been conducted on coronavirus disease (COVID-19) in Nepal. Here, we aimed to estimate seroprevalence and assess risk factors for infection in the general population of Nepal by conducting two rounds of sampling. The first round was in October 2020, at the peak of the first generalized wave of COVID-19, and the second round in July-August 2021, following the peak of the wave caused by the delta variant of SARS-CoV-2. We used cross-sectional probability-to-size (PPS)-based multistage cluster sampling to estimate the seroprevalence in the general population of Nepal at the national and provincial levels. We tested for anti-SARS-CoV-2 total antibody using the WANTAI SARS-CoV-2 Ab ELISA kit. In Round 1, the overall national seroprevalence was 14.4%, with provincial estimates ranging from 5.3% in Sudurpaschim to 27.3% in Madhesh Province. In Round 2, the estimated national seroprevalence was 70.7%, with the highest in the Madhesh Province (84.8%) and the lowest in the Gandaki Province (62.9%). Seroprevalence was comparable between males and females (Round 1, 15.8% vs. 12.2% and Round 2, 72.3% vs. 68.7%). The seroprevalence in the ecozones-Terai, hills, and mountains-was 76.3%, 65.3%, and 60.5% in Round 2 and 17.7%, 11.7%, and 4.6% in Round 1, respectively. In Nepal, COVID-19 vaccination was introduced in January 2021. At the peak of the first generalized wave of COVID-19, most of the population of Nepal remained unexposed to SARS-CoV-2. Towards the end of the second generalized wave in April 2021, two thirds of the population was exposed., (© 2023 The Authors. Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd.)

To evaluate the extra biliary complications of laparoscopic cholecystectomy and the outcome of management of those complications. This descriptive observational study was carried out at CMH Dhaka and CMH Jashore, Bangladesh from March 2016 to March 2022. A total of 1420 patients who underwent Laparoscopic cholecystectomy were included in this study. Extra biliary complications of laparoscopic cholecystectomy were divided into i) Access related ii) Intraoperative (procedure related) and iii) Postoperative complications. The incidence of access-related, intra-operative or procedure-related and postoperative complications was 2.88%, 4.91% and 1.82% respectively. Access related complications were extra-peritoneal insufflations 1.34%, port site bleeding 1.26%, small bowel laceration 0.21% and transverse colon injury 0.07%. Intraoperative or procedural extra biliary complications were liver injury 0.56%, duodenal perforation 0.07%, colon injury 0.07%, bleeding through cystic artery 0.49% and bleeding from gall bladder bed 1.12%. Postoperative complications were port site infection (PSI) 1.05%, port site hernia (PSH) 0.56%, major sepsis 0.14% and ischemic stroke 0.07%. Two of colonic injuries were the major complications encountered in this series, diagnosed during the procedure and converted to open procedure. Duodenal perforation encountered in one case during difficult dissection in the Callot's triangle, diagnosed during the procedure and managed laparoscopically by intra-corporeal suturing. No mortality reported in this series. Extra biliary complications are almost equally common as biliary complications in laparoscopic cholecystectomy and can be life-threatening. An early diagnosis and effective management of complications accordingly, are the utmost requirement for favorable outcome in laparoscopic cholecystectomy.

A biocompatible, reliable, fast, and nanomolar-level dual-functional sensor for a neurotransmitter (e.g., adrenaline) and an anti-cancer drug (e.g., 6-mercaptopurine (6-MP)) is still far away from the hand of modern-day researchers. To address this issue, we synthesized an aqua-stable, bio-friendly, thiourea-functionalized Zr(IV) metal-organic framework (MOF) for selective, rapid sensing of adrenaline and 6-MP with ultra-low limit of detection (LOD for adrenaline = 1.9 nM and LOD for 6-MP = 28 pM). This is the first MOF-based fluorescent sensor of both the targeted analytes. The sensor not only can detect adrenaline in HEPES buffer medium but also in different bio-fluids (e.g., human urine and blood serum) and pH media. It also exhibited 6-MP sensing ability in aqueous medium and in various wastewater specimens and pH solutions. For the quick and on-site detection of this neuro-messenger (adrenaline) and the drug (6-MP), cost-effective sensor-coated cotton fabric composites were fabricated. The MOF@cotton fabric composite is capable of detecting both the analytes up to the nanomolar level by the naked eye under UV light. The sensor can be recycled up to five times without significantly losing its efficiency. The Förster resonance energy transfer in the presence of adrenaline and inner-filter effect in the presence of 6-MP are the most likely reasons behind the quenching of the MOF's fluorescence intensity, which were proved with the help of appropriate instrumental techniques.

Platinum-based catalysts have a long history of application in formic acid oxidation (FAO). The single metal Pt is active in FAO but expensive, scarce, and rapidly deactivates. Understanding the mechanism of FAO over Pt important for the rational design of catalysts. Pt nanomaterials rapidly deactivate because of the CO poisoning of Pt active sites via the dehydration pathway. Alloying with another transition metal improves the performance of Pt-based catalysts through bifunctional, ensemble, and steric effects. Supporting Pt catalysts on a high-surface-area support material is another technique to improve their overall catalytic activity. This review summarizes recent findings on the mechanism of FAO over Pt and Pt-based alloy catalysts. It also summarizes and analyzes binary and ternary Pt-based catalysts to understand their catalytic activity and structure relationship., (© 2022 The Chemical Society of Japan & Wiley-VCH GmbH.)

The growth of single hydrogen bubbles at micro-electrodes is studied in an acidic electrolyte over a wide range of concentrations and cathodic potentials. New bubble growth regimes have been identified which differ in terms of whether the bubble evolution proceeds in the presence of a monotonic or oscillatory variation in the electric current and a carpet of microbubbles underneath the bubble. Key features such as the growth law of the bubble radius, the dynamics of the microbubble carpet, the onset time of the oscillations and the oscillation frequencies have been characterized as a function of the concentration and electric potential. Furthermore, the system's response to jumps in the cathodic potential has been studied. Based on the analysis of the forces involved and their scaling with the concentration, potential and electric current, a sound hypothesis is formulated regarding the mechanisms underlying the micro-bubble carpet and oscillations.

MR imaging, a noninvasive radiation-free imaging modality commonly used during clinical follow up, has been widely utilized to reconstruct realistic 3D vascular models for patient-specific analysis. In recent work, we used patient-specific hemodynamic analysis of the circle of Willis to noninvasively assess stroke risk in pediatric Moyamoya disease (MMD)-a progressive steno-occlusive cerebrovascular disorder that leads to recurrent stroke. The objective was to identify vascular regions with critically high wall shear rate (WSR) that signifies elevated stroke risk. However, sources of error such as insufficient resolution of MR images can negatively impact vascular model accuracy, especially in areas of severe pathological narrowing, and thus diminish clinical relevance of simulation results, as local hemodynamics are sensitive to vessel geometry. To improve the accuracy of MR-derived vascular models, we have developed a novel method for adjusting model vessel geometry utilizing 2D X-ray angiography (XA), which is considered the gold standard for clinically assessing vessel caliber. In this workflow, "virtual angiographies" (VAs) of 3D MR-derived vascular models are conducted, producing 2D projections that are compared with corresponding XA images to guide the local adjustment of modeled vessels. This VA-comparison-adjustment loop is iterated until the two agree, as confirmed by an expert neuroradiologist. Using this method, we generated models of the circle of Willis of two patients with a history of unilateral stroke. Blood flow simulations were performed using a Navier-Stokes solver within an isogeometric analysis framework, and WSR distributions were quantified. Results for one patient show as much as 45% underestimation of local WSR in the stenotic left anterior cerebral artery (LACA), and up to a 56% underestimation in the right anterior cerebral artery when using the initial MR-derived model compared to the XA-adjusted model. To evaluate whether XA-based adjustment improves model accuracy, vessel cross-sectional areas of the pre- and post-adjustment models were compared to those seen in 3D CTA images of the same patient. CTA has superior resolution and signal-to-noise ratio compared to MR imaging but is not commonly used in the clinic due to radiation exposure concerns, especially in pediatric patients. While the vessels in the initial model had normalized root mean squared deviations (NRMSDs) ranging from 26% to 182% and 31% to 69% in two patients with respect to CTA, the adjusted vessel NRMSDs were comparatively smaller (32% to 53% and 11% to 42%). In the mildly stenotic LACA of patient 1, the NRMSDs for the pre- and post-adjusted models were 49% and 32%, respectively. These findings suggest that our XA-based adjustment method can considerably improve the accuracy of vascular models, and thus, stroke-risk prediction. An accurate, individualized assessment of stroke risk would be of substantial help in guiding the timing of preventive surgical interventions in pediatric MMD patients., Competing Interests: Statements and Declarations ZS is a stockholder in Alzeca Biosciences and a consultant for InContext.ia. All other authors declare that they have no conflict of interest.

Hydrogen evolution in acidic aqueous electrolytes was recently found to be characterized by a carpet of microbubbles covering the microelectrode and feeding the growth of the main bubbles by coalescence. Besides this, oscillatory behavior of the main bubbles was observed prior to departure. Extending earlier studies, this work delivers the forces acting on the main bubble more accurately by taking into account further geometric and electrochemical details measured during experiments. Combining simulation work and measurements makes it possible to confirm the role of an attractive electrical (Coulomb) force caused by the adsorption of hydrogen ions at the bubble interface and to obtain a better understanding of the bubble dynamics observed.

Moyamoya disease (MMD) is a progressive steno-occlusive cerebrovascular disease leading to recurrent stroke. There is a lack of reliable biomarkers to identify unilateral stroke MMD patients who are likely to progress to bilateral disease and experience subsequent contralateral stroke(s). We hypothesized that local hemodynamics are predictive of future stroke and set out to noninvasively assess this stroke risk in pediatric MMD patients. MR and X-ray angiography imaging were utilized to reconstruct patient-specific models of the circle of Willis of six pediatric MMD patients who had previous strokes, along with a control subject. Blood flow simulations were performed by using a Navier-Stokes solver within an isogeometric analysis framework. Vascular regions with a wall shear rate (WSR) above the coagulation limit (>5,000 s -1 ) were identified to have a higher probability of thrombus formation, potentially leading to ischemic stroke(s). Two metrics, namely, "critical WSR coverage" and "WSR score," were derived to assess contralateral stroke risk and compared with clinical follow-up data. In two patients that suffered a contralateral stroke within 2 months of the primary stroke, critical WSR coverages exceeding 50% of vessel surface and WSR scores greater than 6× the control were present in multiple contralateral vessels. These metrics were not as clearly indicative of stroke in two additional patients with 3-5 year gaps between primary and contralateral strokes. However, a longitudinal study of one of these two cases, where a subsequent timepoint was analyzed, suggested disease stabilization on the primary stroke side and an elevated contralateral stroke risk, which was confirmed by patient outcome data. This indicates that post-stroke follow-up at regular intervals might be warranted for secondary stroke prevention. The findings of this study suggest that WSR-based metrics could be predictive of future stroke risk after an initial stroke in pediatric MMD patients. In addition, better predictions may be possible by performing patient-specific hemodynamic analysis at multiple timepoints during patient follow-up to monitor changes in the WSR-based metrics., Competing Interests: AA is a consultant to, and a founder and stockholder in, Alzeca Biosciences and a shareholder in Sensulin LLC. ZS is a stockholder in Alzeca Biosciences and a consultant for InContext.ia. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Horn, Johnson, Starosolski, Meoded, Milewicz, Annapragada and Hossain.)

Pseudomonas aeruginosa, an opportunistic bacterial pathogen, can synthesize and catabolize several small cationic molecules known as polyamines. In several clades of bacteria, polyamines regulate biofilm formation, a lifestyle-switching process that confers resistance to environmental stress. The polyamine putrescine and its biosynthetic precursors, l-arginine and agmatine, promote biofilm formation in Pseudomonas spp. However, it remains unclear whether the effect is a direct effect of polyamines or occurs through a metabolic derivative. Here, we used a genetic approach to demonstrate that putrescine accumulation, either through disruption of the spermidine biosynthesis pathway or the catabolic putrescine aminotransferase pathway, promoted biofilm formation in P. aeruginosa. Consistent with this observation, exogenous putrescine robustly induced biofilm formation in P. aeruginosa that was dependent on putrescine uptake and biosynthesis pathways. Additionally, we show that l-arginine, the biosynthetic precursor of putrescine, also promoted biofilm formation but did so by a mechanism independent of putrescine or agmatine conversion. We found that both putrescine and l-arginine induced a significant increase in the intracellular level of bis-(3'-5')-cyclic dimeric GMP (c-di-GMP) (c-di-GMP), a bacterial second messenger widely found in Proteobacteria that upregulates biofilm formation. Collectively these data show that putrescine and its metabolic precursor, arginine, promote biofilm and c-di-GMP synthesis in P. aeruginosa. IMPORTANCE Biofilm formation allows bacteria to physically attach to a surface, confer tolerance to antimicrobial agents, and promote resistance to host immune responses. As a result, the regulation of biofilm formation is often crucial for bacterial pathogens to establish chronic infections. A primary mechanism of biofilm promotion in bacteria is the molecule c-di-GMP, which promotes biofilm formation. The level of c-di-GMP is tightly regulated by bacterial enzymes. In this study, we found that putrescine, a small molecule ubiquitously found in eukaryotic cells, robustly enhances P. aeruginosa biofilm and c-di-GMP. We propose that P. aeruginosa may sense putrescine as a host-associated signal that triggers a lifestyle switch that favors chronic infection.

Moyamoya disease (MMD) is characterized by narrowing of the distal internal carotid artery and the circle of Willis (CoW) and leads to recurring ischemic and hemorrhagic stroke. A retrospective review of data from 50 pediatric MMD patients revealed that among the 24 who had a unilateral stroke and were surgically treated, 11 (45.8%) had a subsequent, contralateral stroke. There is no reliable way to predict these events. After a pilot study in Acta -/- mice that have features of MMD, we hypothesized that local hemodynamics are predictive of contralateral strokes and sought to develop a patient-specific analysis framework to noninvasively assess this stroke risk. A pediatric MMD patient with an occlusion in the right middle cerebral artery and a right-sided stroke, who was surgically treated and then had a contralateral stroke, was selected for analysis. By using an unsteady Navier-Stokes solver within an isogeometric analysis framework, blood flow was simulated in the CoW model reconstructed from the patient's postoperative imaging data, and the results were compared with those from an age- and sex-matched control subject. A wall shear rate (WSR) > 60,000 s -1 (about 12 × higher than the coagulation threshold of 5000 s -1 and 9 × higher than control) was measured in the terminal left supraclinoid artery; its location coincided with that of the subsequent postsurgical left-sided stroke. A parametric study of disease progression revealed a strong correlation between the degree of vascular morphology altered by MMD and local hemodynamic environment. The results suggest that an occlusion in the CoW could lead to excessive contralateral WSRs, resulting in thromboembolic ischemic events, and that WSR could be a predictor of future stroke., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The first direct fabrication of A 2 B- and A 3 -type B(III)subchlorins from meso- ethoxycarbonyl-substituted tripyrrane has been realized by condensation with appropriate acid chlorides (benzoyl chloride, butyryl chloride, and ethyl chlorooxoacetate). The aliphatic acid chloride-based annulation reaction is new to subporphyrinoid chemistry. The phenyl ( 6a )- or n -propyl ( 6b )-substituted derivatives could be oxidized to the corresponding B(III)subporphyrins upon refluxing with DDQ, whereas the triethoxycarbonyl moiety ( 6c ) was found to be resistant to oxidation and exhibits the most red-shifted absorption (587 nm) and emission (604 nm). The study indicates that absorption and emission behaviors of the B(III)subchlorin can be tuned by the introduction of electron-rich or electron-deficient substituents at the meso -position. B(III)subchlorins 6a and 6c generate singlet oxygen efficiently (44 and 40%, respectively) and, thus, may find application as potential photosensitizers in photodynamic therapy (PDT).

The outcome of lymph node tuberculosis (LNTB) management with conventional anti-tubercular treatment alone is unsatisfactory. We conducted a randomised open-label controlled clinical trial in the Department of Respiratory Medicine in Government Institute of Dhaka, Bangladesh from April 2017 to March 2019. Compared with controls, 54 patients of LNTB received category 1 anti-tubercular treatment with additional prednisolone after randomisation. Complete resolution in 21/54 (75%) and 7 (26.9%), symptomatic improvement in 26 (92.9%) and 22 (84.6%) and complications in 11 (39.28%) and 16 (61.53%) were observed in the treatment and control group, respectively. Thus, we recommend the use of steroids in this setting.

Many deep eutectic solvents (DESs) are currently being explored as environment-friendly media for biorelated applications. As an understanding of the effect of these solvents on the structure of biomolecules is crucial for these applications, we study how two DESs comprising trimethylglycine (TMG) and ethylene glycol (EG) or glycerol (GL) influence the structural stability and conformational dynamics of cytochrome c (Cytc) using single-molecule-based fluorescence correlation spectroscopy (FCS) technique and several other ensemble-based biophysical methods. The FCS studies on A488-labeled Cytc enable an estimation of the size (20.5 ± 1.5 Å) of the protein and capture its conformational dynamics (54 ± 2 μs) in aqueous buffered solution. It is observed that both size and conformational dynamics of the protein are influenced in the presence of the DESs, but this effect is more pronounced in the case of TMG-EG. The ensemble measurements on both labeled and wild-type Cytc reveal that the protein structure is unfolded completely by TMG-EG, whereas the structure is slightly altered by TMG-GL. The results suggest that the behavior of Cytc in hydrated DESs is determined by the strength of interactions between the DES constituents as well as that between the constituents and the water molecules present in the system.

The dynamics of single hydrogen bubbles electrogenerated in acidic electrolytes at a Pt microelectrode under potentiostatic conditions is investigated in microgravity during parabolic flights. Three bubble evolution scenarios have been identified depending on the electric potential applied and the acid concentration. The dominant scenario, characterized by lateral detachment of the grown bubble, is studied in detail. For that purpose, the evolution of the bubble radius, electric current and bubble trajectories, as well as the bubble lifetime are comprehensively addressed for different potentials and electrolyte concentrations. We focus particularly on analyzing bubble-bubble coalescence events which are responsible for reversals of the direction of bubble motion. Finally, as parabolic flights also permit hypergravity conditions, a detailed comparison of the characteristic bubble phenomena at various levels of gravity is drawn.

Improvements in accelerometer technology has led to new types of data on which more powerful predictive models can be built to assess physical activity. This paper explains and implements ordinal random forest and partial proportional odds models which both take into account the ordinality of responses given explanatory accelerometer data. The data analyzed comes from 28 adults performing activities of daily living in two visits while wearing accelerometers on the ankle, hip, right and left wrist. The first visit provided training data and the second testing data so that an independent sample, cross-validation approach could be used. We found that ordinal random forest produces similar accuracy rates and better linearly weighted kappa values than random forest. On the testing set, the ankle produced the best accuracy rates (33.3%), followed by the left wrist (34.7%), hip (36.9%) and then the right wrist (37.3%) using the best performing decision model for a four-activity level response. Linearly weighted kappa values indicated substantial agreement. For a two-activity level response, the error rates on the ankle, hip, left wrist and right wrist were 15.5%, 15.9%, 16.5% and 18.8%, respectively. The partial proportional odds model had significant goodness of fit ( p < 0.0001) and provided interpretable coefficients (at p = 0.05), but there was significant variability in accuracy. These models can be used on accelerometer data collected during exercise studies and levels of activity can be assessed without direct observation. This work also can lead to theoretical improvements of current modeling techniques that are used for this purpose.

Plants form commensal associations with soil microorganisms, creating a root microbiome that provides benefits, including protection against pathogens. While bacteria can inhibit pathogens through the production of antimicrobial compounds in vitro , it is largely unknown how microbiota contribute to pathogen protection in planta . We developed a gnotobiotic model consisting of Arabidopsis thaliana and the opportunistic pathogen Pseudomonas sp. N2C3, to identify mechanisms that determine the outcome of plant-pathogen-microbiome interactions in the rhizosphere. We screened 25 phylogenetically diverse Pseudomonas strains for their ability to protect against N2C3 and found that commensal strains closely related to N2C3, including Pseudomonas sp. WCS365, were more likely to protect against pathogenesis. We used comparative genomics to identify genes unique to the protective strains and found no genes that correlate with protection, suggesting that variable regulation of components of the core Pseudomonas genome may contribute to pathogen protection. We found that commensal colonization level was highly predictive of protection, so we tested deletions in genes required for Arabidopsis rhizosphere colonization. We identified a response regulator colR , and two ColR-dependent genes with predicted roles in membrane modifications ( warB and pap2&#95;2 ), that are required for Pseudomonas-mediated protection from N2C3. We found that WCS365 also protects against the agricultural pathogen Pseudomonas fuscovaginae SE-1, the causal agent of bacterial sheath brown rot of rice, in a ColR-dependent manner. This work establishes a gnotobiotic model to uncover mechanisms by which members of the microbiome can protect hosts from pathogens and informs our understanding of the use of beneficial strains for microbiome engineering in dysbiotic soil systems. IMPORTANCE Microbiota can protect diverse hosts from pathogens, and microbiome dysbiosis can result in increased vulnerability to opportunistic pathogens. Here, we developed a rhizosphere commensal-pathogen model to identify bacterial strains and mechanisms that can protect plants from an opportunistic Pseudomonas pathogen. Our finding that protective strains are closely related to the pathogen suggests that the presence of specific microbial taxa may help protect plants from disease. We found that commensal colonization level was highly correlated with protection, suggesting that competition with pathogens may play a role in protection. As we found that commensal Pseudomonas were also able to protect against an agricultural pathogen, this system may be broadly relevant for identifying strains and mechanisms to control agriculturally important pathogens. This work also suggests that beneficial plant-associated microbes may be useful for engineering soils where microbial complexity is low, such as hydroponic, or disturbed agricultural soils.

In this work, the photocatalytic property of p-type CuO was tailored by creating a heterojunction with n-type CdS. The CuO/CdS nanocomposite photocatalyst was synthesized by the ultrasound-assisted-wet-impregnation method and the physicochemical and optical properties of the catalysts were evaluated by using N 2 physisorption, X-Ray Diffraction (XRD),X-Ray Photoelectron Spectroscopy (XPS), Raman spectroscopy, Transmission electron microscopy (TEM), Energy dispersive X-Ray (EDX) mapping, Field Emission Scanning Electron Microscope (FE-SEM), UV-Vis and photoluminescence spectroscopy experiments. Detailed characterization revealed the formation of a nanocomposite with a remarkable improvement in the charge carrier (electron/hole) separation. The photocatalytic degradation efficiencies of CuO and CuO/CdS were investigated for different dyes, for instance, rhodamine B (RhB), methylene blue (MLB), methyl blue (MB) and methyl orange (MO) under visible light irradiation. The obtained dye degradation efficiencies were ~93%, ~75%, ~83% and ~80%, respectively. The quantum yield for RhB degradation under visible light was 6.5 × 10 -5 . Reusability tests revealed that the CuO/CdS photocatalyst was recyclable up to four times. The possible mechanisms for the photocatalytic dye degradation over CuO/CdS nanocomposite were elucidated by utilizing various scavengers. Through these studies, it can be confirmed that the conduction band edges of CuO and CdS play a significant role in producing O 2 - . The produced O 2 - degraded the dye molecules in the bulk solution whereas the valence band position of CuO acted as the water oxidation site. In conclusion, the incorporation of CuO with CdS was demonstrated to be a viable strategy for the efficient photocatalytic degradation of dyes in aqueous solutions., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Abnormal aggregation of amyloidogenic proteins (like Aβ 42, amylin, α-synuclein, insulin) and the deposition of these aggregates is believed to be associated with several diseases known as amyloidosis. The pathway of aggregation involves three distinct phases: the oligomeric, elongation and plateau phases. Among them, the oligomeric phase of Aβ 42 and α-synuclein involves the generation of transient oligomeric species suspected to cause several neurological disorders, including Alzheimer's and Parkinson's diseases. Over the past few years, scientists have devoted much more effort to devising new fluorescent molecular probes to estimate the mechanisms of formation, and have gained vital information about possible therapeutic routes for amyloidosis. However, such fluorescent probes face serious limitations because of self-quenching at high concentrations of the probe; therefore, they are inappropriate for quantitative analysis and bio-imaging experiments. Hence, smart biocompatible fluorescent probes are indispensable, as they not only overcome the drawbacks of conventional fluorescent probes, but also have the potential ability to fight amyloidosis through modulation of the pathways involved. In this work, for the first time we introduce a series of promising photo-switchable aggregation-induced emission (AIE) dots (DPAPMI, CPMI) and aggregation caused quenching (ACQ) dots (DMAPMI) which can detect amyloid fibrils in terms of switching and enhancing their fluorescence emission. Interestingly, the organic dots enhance the aggregation rate of insulin by speeding up the microscopic processes, specifically secondary nucleation (with rate constant k2) and the elongation process (with rate constant k+). Moreover, the comparison of kinetics studies with ThT suggests that our organic dots can sense pre-fibrillar aggregates of insulin during the aggregation process, which may be beneficial for the early detection of amyloid fibrils. In summary, our study indicates that these organic dots can be used for the imaging and early stage detection of amyloid fibril formation and the modulation of amyloid formation pathways.

Objective: International airports, ports, and ground crossings are required to have health units for undertaking public health measures during routine times and specific measures during the time of public health emergency of international concern (PHEIC). This study was conducted at a ground crossing of North India to assess the implementation status of International Health Regulations (IHR) (2005) at a ground crossing in the prevention and control of public health emergencies and to assess the risk of imported infections from a ground crossing., Methods: A qualitative study was conducted at the selected point of entry. The World Health Organization (WHO) core capacity assessment tool and in-depth interviews were used for data collection in the form of meetings and visits to isolation sites, and general observations were conducted regarding facilities on routine and other infrastructure and equipment that can be used during emergencies. Respondents were recruited using purposive methods., Results: The findings reveal that there is lack of awareness among the travelers, which increases the risks of spreading diseases. The overall implementation status at the ground crossing according to the assessment conducted using WHO Tool was 76%. It showed the need for further strengthening of the implementation at the site. Gaps were identified regarding the local capacity for handling chemical, radiological and nuclear hazards, and shortage of regular staff through stakeholders., Conclusion: The findings from this study, as well as the suggestions and recommendations given by stakeholders, should help revise the current strategies of action. Hence, the gaps identified should be fulfilled to better respond to PHEIC at the ground crossings.

Deep eutectic solvents (DESs) are novel environment-friendly media for a variety of applications. In order to obtain insight into the structure and dynamics of some less-explored DESs comprising ethylene glycol and tetraalkylammonium bromide salts with variable alkyl chain length, we have captured complete dynamics occurring in these solvents in a timescale of few femtoseconds to several nanoseconds by monitoring the time-dependent fluorescence Stokes shift of coumarin 153 employing a combination of time-correlated single-photon counting and fluorescence upconversion techniques. The solvent response function constructed from the measured data reveals a sub-picosecond component (∼0.8 ps, 20-35%) in addition to a slow component (180-475 ps) with a distribution of relaxation time. The slow time component is found to be strongly dependent on the viscosity of the medium, indicating that it arises from the diffusive motions of the solvent constituents into and out of the solvation shell, whereas the ultrafast time component, which is nearly independent of the solvent viscosity, arises from fast local motions of the constituents in the immediate vicinity of the solute molecule.

Cytosine-rich DNA sequences fold into secondary structures called i-Motifs, which are usually stable at acidic pH. However, molecular crowding agents, such as poly(ethylene glycol) (PEG), are known to facilitate the formation of these structures even at neutral pH. As crowding mimics the intracellular environment and not much is known about the folding pathway of i-Motifs in such constrained media, we have probed, in detail, the conformational changes of a 22-mer c-MYC-promoter-based C-rich sequence (Py22) in the presence of PEG, employing Förster resonance energy transfer and fluorescence lifetime measurements at the single-molecule level. We find that the folding process is not a simple two-state transition between a random coil and a folded i-Motif structure. Rather, it involves a partially folded conformation as an intermediate in which the bases are not as efficiently stacked as in the completely folded i-Motif form. The relative population of each species is governed by the size and concentration of PEG, and 30% (w/w) PEG6000 is the optimum condition for the folding of Py22. Under this condition, ∼80% of Py22 exists in the fully folded i-Motif form and ∼20% of it is in the partially folded state.

Despite the recent surge of interest in two-dimensional (2D) inorganic nanosheets derived from photoactive coordination polymers of lanthanide ions having interesting optical properties, research in this area is still in its infancy. Luminescent lanthanide ions, Eu(iii) or/and Tb(iii), as well as a bis-terpyridine ligand (L), were used in this study as the building blocks for the synthesis of the archetypical layered structure of coordination polymers (CPs) (L·Eu/L·Tb). 2D-nanosheets were obtained through exfoliation of the layered precursor of CPs in a suitable solvent system following a sonication-assisted strategy. These nanosheets exhibit lateral sizes on the micrometer scale (0.3-1 μm) and an ultrathin thickness of 2-6.5 nm. 1,1-Diamino-2,2-dinitroethene or FOX-7 is an insensitive high explosive; in a binder mixture, it exhibits a slightly superior detonation velocity of 8870 m s -1 in comparison to RDX. The insensitive nature of FOX-7 makes it a key component for the development of low vulnerable high explosive compositions for further application in weaponry. The growing demand for FOX-7, for use as a suitable replacement of conventional explosives, is of serious concern to human security. Achieving rapid and efficient detection of this unexplored explosive is a challenging task. In the present study, the developed luminescent nanosheets were used for the first time for micromolar level detection of FOX-7 both in solution and in the solid state. A visually distinct color change of the nanosheets from red (L·Eu) and green (L·Tb) to colorless was witnessed upon UV light irradiation during the detection process. Notably, the solid-state detection technique could be exploited for developing a commercial spray kit for quick onsite screening of this important explosive., Competing Interests: The authors declare no competing financial interest., (This journal is © The Royal Society of Chemistry.)

The dynamics of hydrogen bubbles produced via electrolysis in acidic electrolytes is studied in a combination of experiments and numerical simulations. A transition from monotonic to oscillatory bubble growth is observed after 2/3 of the bubble lifetime, if the electric potential exceeds -3  V. This work analyzes characteristic features of the oscillations in terms of bubble geometry, the thickness of the microbubble carpet, and the oscillation frequency. An explanation of the oscillation mechanisms is provided by the competition between buoyancy and electric force, the magnitude of which depends on the carpet thickness. Both the critical carpet thickness at detachment and the oscillation frequencies of the bubble as predicted by the model agree well with the experiment.

Deep eutectic solvents (DESs) have emerged in recent years as environmentally sustainable media across several fields. However, knowledge of liquid structure, dynamics, and solute-solvent interactions in many DESs that is essential for exploiting their potential is still lacking. In this work, we make an attempt to obtain some insight into these aspects of a set of less-explored DESs comprising tetraalkylammonium bromide salts and ethylene glycol (EG) by monitoring the fluorescence response of some carefully chosen dipolar (C153 and 4-AP) and nonpolar (9-PA) solutes in these media. Specifically, we have studied the translational and rotational diffusion dynamics of these molecular systems using single-molecule-based fluorescence correlation spectroscopy technique and ensemble-based time-resolved fluorescence anisotropy measurements. These results point to spatial and dynamic heterogeneity of these DESs, which becomes prominent in systems comprising cations with a longer alkyl chain length. This study reveals that diffusion dynamics of the probe molecules is determined not only by the solvent bulk viscosity but also dependent on their microenvironments and solute-solvent interactions experienced in these media.

Background: Any deficiency or inadequate dietary pattern can lead to poor nutrition which can further influence both growth and development throughout from infancy to adolescence. Since adolescents represent the next generation of parents, it is important to monitor their nutritional status at this crucial stage. Thus, this study aimed to explore the factors associated with nutritional status among adolescent girls belonging to these tea gardens., Objective: The objective of this community-based cross-sectional study was to assess the nutritional status of adolescent girls belonging to the tea garden community and the association of the sociodemographic factors with it., Materials and Methods: Anthropometric measurement was taken among adolescent girls in the tea estates of Nazira subdivision of Sivasagar district, Assam. The pattern of dietary intake among adolescents was also studied. The statistical analysis was done using SPSS version 15., Results: The prevalence of thinness and stunting across 265 adolescent girls was 49.4% and 50.6%, respectively. Calorie and protein deficits were found to be 76.60% and 65%, respectively. Majority of the respondents, i.e., 66.80% of the participants, had a poor intake of essential food constituents. Moreover, 76.21% of the respondents were anemic. The association of different sociodemographic factors with thinness, inadequate protein intake, and anemia were found during the study., Conclusion: Thinness and stunting along with protein-energy malnutrition and inadequate intake of important food groups were prevalent in adolescent tea community girls. Overall, the public health burden of malnutrition is still a persisting health problem in the tea gardens of Assam., Competing Interests: There are no conflicts of interest., (Copyright: © 2019 Indian Journal of Community Medicine.)