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Objectives. This study aimed to examine the peculiarities of strength effort assessment in girls aged 10, 11, and 12 years. Specifically, it sought to understand how these age groups evaluate effort at different percentages of their maximum strength (1/3, 1/2, and 2/3). Materials and methods. The study involved 75 girls divided into three age groups: 10 years (n = 20), 11 years (n = 25), and 12 years (n = 30). Participants’ maximum hand strength was measured using a dynamometer, and their ability to assess effort at 1/3, 1/2, and 2/3 of this maximum was recorded. Results. The error of effort assessment was calculated and analyzed using paired and independent samples t-tests. Statistical significance was set at α = 0.05. The analysis revealed no significant age-related differences in hand maximum strength or strength effort assessment among the different age groups. The most accurate assessment of effort occurred at 2/3 of maximum strength for all age groups. Significant differences were found in effort assessment between 1/3 and 1/2 of maximum strength, and between 1/3 and 2/3 of maximum strength, with improvements noted as the effort percentage increased. However, no significant differences were observed between effort levels at 1/2 and 2/3 of maximum strength. Conclusions. The study indicates that the ability to assess strength effort remains stable across the age range of 10 to 12 years, with the most precise assessment occurring at 2/3 of maximum strength. The findings suggest that while overall strength assessment abilities are consistent, targeted training may enhance precision at different effort levels. This contributes to the understanding of motor function development and highlights the need for interventions to improve effort assessment skills in young girls.

Abstract An immense amount of rice is cultivated globally, leading to the generation of large amounts of rice husk. Unfortunately, this husk is often disposed of in natural settings and lagoons. The alternative use of this material encourages replacing traditional building materials. Rice husk production in India is 31.40 million tonnes, which fills landfills and causes environmental problems. Concrete with this substance helps solve environmental and economic problems. This material's high silica content makes it pozzolanic. Extensive studies have been carried out in recent decades to evaluate the viability of incorporating it into different building construction methods. The sustainable development of the environment and economy of nations has benefited greatly from such research and innovations. Key findings indicate that this material has a positive impact on the strength and durability of concrete, while also contributing to a reduction in carbon emissions. It implications that this material has the potential to reduce construction expenses and encourage environmentally conscious building methods through the reuse of agricultural waste This study summarises historical research on rice husk-based concrete in infrastructure projects. Its physical and chemical features increase compressive, tensile, workability, durability, flexural strength, and water absorption. VOS viewer was used for bibliometric analysis of country and keyword data. The purpose of increasing the compressive strength when using rice husk ash as a replacement in cement is to enhance the durability and load-bearing capacity of concrete.

Abstract Optical vortex beam has gained much attention in the field of information processing because of its inherent features, such as the infinite number of orthogonal modes. In this paper, we demonstrate optical image encryption based on the deoxyribonucleic acid (DNA) encoding rule through optical vortices. In this scheme, two levels of security are achieved; in the first level, an input image is encrypted using equal modulus decomposition as well as phase truncation and phase reservation approach. Thus, the obtained encrypted image is encoded into a DNA sequence according to the existing DNA encoding rule and then DNA exclusive-OR operation is applied with the DNA sequence of a random key image in order to obtain the ciphertext. In the second level of security, the DNA sequence of the encrypted image is encoded into vortex beams using different orthogonal modes and arranged in the form of optical lattices. This type of encoding rule overcomes the tedious task of manually encoding the vortex beam and also enhances the key space and, hence, the security. Simulation and experimental results support the efficacy of the proposed scheme.

This study aimed to assess the chemical composition and pesticidal activities of essential oils (EOs) from Cautleya spicata rhizomes and aerial parts. The EOs were assessed against root-knot nematodes (Meloidogyne incognita) by mortality and hatchability bioassays and the phytotoxicity of the EOs was determined against Raphanus raphanistrum subspp. Sativus (radish) and Cichorium intybus (chicory) seeds. In-silico screening of the primary constituents of EOs and five chosen target proteins of the nematode was conducted to predict the expected mechanism of action of these oils. p-Cymene and β-pinene were the key compounds in the EOs from the rhizomes and aerial parts. The EO from the aerial parts (LC50 value = 0.555 µL/mL for nematode mortality assay and IC50 value = 0.016 µL/mL for nematode egg hatchability after 96 h) exhibited significantly higher nematicidal activity than the rhizome EO. However, rhizome EO showed higher phytotoxic activity against radish (R. raphanistrum) with lower IC50 values (0.157 and 0.123 µL/mL for RLI and SLI, respectively) and chicory (C. intybus) seeds (100% inhibition at 1.0 µL/mL concentration). Docking studies revealed the strongest inhibitory actions of β-selinene against acetylcholinesterase (AChE) and cytochrome c oxidase (CytC), spathulenol against glutathione S-transferase (GST-1), and β-eudesmol against heat shock protein 90 (HSP90) and odorant response gene-3 (ODR3) proteins. The study unveiled the chemical diversity present in both the EOs and rhizomes of C. spicata along with their considerable potential as plant-based pesticidal agents effective against nematodes and weed species.

ABSTRACTRapid urbanization has dramatically increased the demand for river sand, leading to soaring sand extraction rates that often exceed natural replenishment in many rivers globally. However, our understanding of the geomorphic and social-ecological impacts arising from Sand Mining (SM) remains limited, primarily due to insufficient data on sand extraction rates. Conventionally, bathymetry surveys and compilation of declared amounts have been used to quantify SM budgets, but they are often costly and laborious, or result in inaccurate quantification. Here, for the first time, we developed a Remote Sensing (RS)-based Deep Learning (DL) framework to map SM activities and budgets in the Vietnamese Mekong Delta (VMD), a global SM hotspot. We trained a near real-time object detection system to identify three boat classes in Sentinel-1 imagery: Barge with Crane (BC), Sand Transport Boat (STB), and other boats. Our DL model achieved a 96.1% Mean Average Precision (mAP) across all classes and 98.4% for the BC class, used in creating an SM boat density map at an Intersection over Union (IoU) threshold of 0.50. Applying this model to Sentinel-1, 256,647 boats were detected in the VMD between 2014–2022, of which 17.4% were BC. Subsequently, the annual SM budget was estimated by correlating it with a recent riverbed incision map. Our results showed that, between 2015–2022, about 366 Mm3 of sand has been extracted across the VMD. The annual budget has progressively increased from 34.92 Mm3 in 2015 to 53.25 Mm3 in 2022 (by 52%), with an annual increment of around 2.79 Mm3. At the provincial-scale, Dong Thap, An Giang, Vinh Long, Tien Giang, and Can Tho were the locations of intensive mining, accounting for 89.20% of the total extracted volume in the VMD. Finally, our estimated budgets were validated with previous research that yielded a correlation coefficient of 0.99% (with bias of 2.65%). The automatic DL framework developed in this study to quantify SM budgets has a high potential to be applied to other deltas worldwide also facing intensive SM.

Effective summarization of unstructured patient data in electronic health records (EHRs) is crucial for accurate diagnosis and efficient patient care, yet clinicians often struggle with information overload and time constraints. This review dives into recent literature and case studies on both the significant impacts and outstanding issues of patient chart review on communications, diagnostics, and management. It also discusses recent efforts to integrate artificial intelligence (AI) into clinical summarization tasks, and its transformative impact on the clinician’s potential, including but not limited to reductions of administrative burden and improved patient-centered care. Furthermore, it takes into account the numerous ethical challenges associated with integrating AI into clinical workflow, including biases, data privacy, and cybersecurity.

Idiopathic macular hole (IMH) is a condition that arises from a combination of interactions among several forces on the fovea, remarkably from vitreous traction in the anteroposterior and tangential directions. Recent studies have highlighted the significance of microincision vitrectomy surgery, and IMH surgery was performed with minimal invasiveness, and visual improvement was an expected outcome. This study aimed to observe the pre-operative optical coherence tomography (OCT) indices correlated with visual acuity in the closure of IMH after surgery. Primarily, the findings were associated with clinical characteristics, including OCT indices, change in best corrected visual acuity (BCVA), clinical factors associated with IMH closure, and prognostic factors for the visual outcomes. This retrospective study included pre- and post-operative BCVA and OCT indices of 110 eyes with IMH. Each OCT variable was subjected to stepwise regression analysis regarding therapeutic factors that predict the need for IMH closure. Our results revealed that the hole form factor (HFF, r = 0.196), macular hole index (MHI, r = 0.669), and tractional hole index (THI, r = 0.085) had a positive correlation with visual acuity. However, basal hole diameter (BHD, r = −0.696) and minimum hole diameter (MHD, r = −0.407) showed a negative correlation. Out of them, HFF, MHI, BHD, and MHD were observed to be statistically significant (p

Abstract We present a quantitative sandwich immunoassay for CD63 Extracellular Vesicles (EVs) and a constituent surface cargo, EGFR and its activity state, that provides a sensitive, selective, fluorophore-free and rapid alternative to current EV-based diagnostic methods. Our sensing design utilizes a charge-gating strategy, with a hydrophilic anion exchange membrane functionalized with capture antibodies and a charged silica nanoparticle reporter functionalized with detection antibodies. With sensitivity and robustness enhancement by the ion-depletion action of the membrane, this hydrophilic design with charged reporters minimizes interference from dispersed proteins, thus enabling direct plasma analysis without the need for EV isolation or sensor blocking. With a LOD of 30 EVs/μL and a high relative sensitivity of 0.01% for targeted proteomic subfractions, our assay enables accurate quantification of the EV marker, CD63, with colocalized EGFR by an operator/sample insensitive universal normalized calibration. We analysed untreated clinical samples of Glioblastoma to demonstrate this new platform. Notably, we target both total and “active” EGFR on EVs; with a monoclonal antibody mAb806 that recognizes a normally hidden epitope on overexpressed or mutant variant III EGFR. Analysis of samples yielded an area-under-the-curve (AUC) value of 0.99 and a low p-value of 0.000033, surpassing the performance of existing assays and markers.

The chemical looping gasification of plastics (CLGP) is a process that offers an innovative solution for transforming post-consumer waste plastics into high-value products. The process utilizes a co-current moving bed reducer reactor with iron-titanium-based oxygen carriers to gasify plastic feed and generate syngas autothermally. Its distinguishing feature is its ability to operate over a wide range of feed loadings and co-injection of mixed plastic species without any performance losses. Isothermal bench-scale experiments reveal a syngas purity of ∼95 %, aligning with the thermodynamic simulations. The moving bed reactor facilitates a deeper reduction of the oxygen carriers to the Fe+FeTiO3 phase, leading to the high syngas purity, which is then verified with additional TGA, XRD, and SEM analysis. For an autothermal operation of CLGP process, an active material content of 20 % is found to be sufficient to satisfy the kinetic and thermodynamic constraints. Further integration with downstream production of H2 is presented and compared to a steam gasification process. The process integration simulations show that the CLGP process outperforms the steam gasification system in terms of Cold Gas Efficiency (CGE), Effective Thermal Efficiency (ETE), and H2 yield. CO2 emissions are impressively reduced by ∼30 % in the CLGP system over that in the steam gasification system due to its ability to autothermally operate the process, unlike the highly endothermic steam gasification process.

This work presents the design and testing of a seeder based on laser ablation capable of introducing gallium particles into a gaseous flow at elevated pressures typical of that found in practical combustion devices. The ability to seed such a flow with gallium particles is required to apply Ga-TLAF, a spatially and temporally resolved thermometry imaging technique well suited to harsh combustion environments. The design criteria for this gallium particle seeder are first listed and all the necessary details required to understand and replicate it are then provided. Next, the efficiency of gallium ablation is verified as a function of the ablation laser's fluence and repetition rate and of the pressure using gallium laser induced fluorescence and laser scattering measurements at ∼403 nm. For the conventional 355-nm nanosecond, Nd:YAG laser used for ablation in this study, data show that the quantity of gallium seeded into the flow can be conveniently modulated by varying the fluence of the ablation laser and/or its repetition rate. Data also show that the efficiency of ablation is marginally better for solid gallium than for liquid gallium, but that ablation of liquid gallium should be preferred to avoid a loss of ablation efficiency after some time. The temperature of the liquid gallium feedstock is found to be unimportant. SEM, EDX, and SPMS analyses show that laser ablation yields pure gallium particles with a characteristic size ranging at least from 50 nm to 10 μm and that the size distribution is insensitive to the pressure and to the ablation laser's fluence. Also important for future applications of Ga-TLAF in high-pressure flames, data show that the gallium LIF intensity recorded at room temperature or in the hot products of a flame is not significantly affected by pressure.

Abstract Structural imaging of transient excited-state species is a key goal of molecular physics, promising to unveil rich information about the dynamics underpinning photochemical transformations. However, separating the electronic and nuclear contributions to the spectroscopic observables is challenging, and typically requires the application of high-level theory. Here, we employ site-selective ionisation via ultrashort soft X-ray pulses and time-resolved Coulomb explosion imaging to interrogate structural dynamics of the ultraviolet photochemistry of carbon disulfide. This prototypical system exhibits the complex motifs of polyatomic photochemistry, including strong non-adiabatic couplings, vibrational mode couplings, and intersystem crossing. Immediately following photoexcitation, we observe Coulomb explosion signatures of highly bent and stretched excited-state geometries involved in the photodissociation. Aided by a model to interpret such changes, we build a comprehensive picture of the photoinduced nuclear dynamics that follows initial bending and stretching motions, as the reaction proceeds towards photodissociation.

Abstract Background Breast cancer (BC) is the most common malignancy with very high incidence and relatively high mortality in women. The PIK3CA gene plays a pivotal role in the pathogenicity of breast cancer. Despite this, the mutational status of all exons except exons 9 and 20 still remains unknown. Methods This study uses the whole exome sequencing (WES) based approach to identify somatic PIK3CA mutations in Indian BC cohorts. The resultant hotspot mutations were validated by droplet digital PCR (ddPCR). Further, molecular dynamics (MD) simulation was applied to elucidate the conformational and functional effects of hotspot position on PIK3CA protein. Results In our cohort, PIK3CA showed a 44.4% somatic mutation rate and was among the top mutated genes. The mutations of PIK3CA were confined in Exons 5, 9, 11, 18, and 20, whereas the maximum number of mutations lies within exons 9 and 20. A total of 9 variants were found in our study, of which 2 were novel mutations observed on exons 9 (p.H554L) and 11 (p.S629P). However, H1047R was the hotspot mutation at exon 20 (20%). In tumor tissues, there was a considerable difference between copy number of wild-type and H1047R mutant was detected by ddPCR. Significant structural and conformational changes were observed during MD simulation, induced due to point mutation at H1047R/L position. Conclusions The current study provides a comprehensive view of novel as well as reported single nucleotide variants (SNVs) in PIK3CA gene associated with Indian breast cancer cases. The mutation status of H1047R/L could serve as a prognostic value in terms of selecting targeted therapy in BC.

Abstract This proposed work deals with the implementation of a single-phase topology with using hybrid for multilevel inverters. It is observed that the proposed structure improves the performance of the hybrid multilevel inverter with high-frequency switches for positive levels and reverse voltage with negative levels. This paper studies a novel construction for an asymmetrical hybrid single-phase multilevel inverter. This paper also studies the operation of multi level inverter under depreciating sources condition due to fluctuation in input. The PWM method, i.e. APOD and CO, has been incorporated into the simulation of single-phase 7-level, 9-level, and the 11-level hybrid inverter. These two methods are compared to one another and to standard methods in terms of THD for different values of the modulation index, and they are found to be superior. Overall loss of 50% of the THD is almost equal to rated output voltage, it is observed in cascaded multilevel inverters. The working and performance of the proposed model are simulated in MATLAB Simulink software and the results are discussed in detail.

Abstract Caged compounds are frequently used in life science research. However, the light used to activate them is commonly absorbed and scattered by biological materials, limiting their use to basic research in cells or small animals. In contrast, hard X‐rays exhibit high bio‐permeability due to the difficulty of interacting with biological molecules. With the main goal of developing X‐ray activatable caged compounds, azo compounds are designed and synthesized with a positive charge and long π‐conjugated system to increase the reaction efficiency with hydrated electrons. The azo bonds in the designed compounds are selectively cleaved by X‐ray, and the fluorescent substance Diethyl Rhodamine is released. Based on the results of experiments and quantum chemical calculations, azo bond cleavage is assumed to occur via a two‐step process: a two‐electron reduction of the azo bond followed by N─N bond cleavage. Cellular experiments also demonstrate that the azo bonds can be cleaved intracellularly. Thus, caged compounds that can be activated by an azo bond cleavage reaction promoted by X‐ray are successfully generated.

We present a novel approach to fabricate an iron-nickel alloy material tailored for methane dry reforming (DRM) by embedding FeNi3 nanoparticles within an engineered SBA-15 mesoporous silica framework with a tunable structure (FeNi3@SBA-15). This alloy material exhibits superior DRM performance, achieving impressive methane conversions exceeding 98% and 99% at temperatures of 800 ℃ and 900 ℃ respectively. Moreover, FeNi3@SBA-15 demonstrates remarkable coking resistance and significantly outperforms the equivalent bulk catalyst. Specifically, we observe a methane conversion increase of over 400% and a carbon dioxide conversion increase of over 700% within the temperature range of 600 ℃ to 800 ℃. Theoretical calculations reveal that coordinately unsaturated Ni atoms on FeNi3 nanoparticles significantly promote the activation ability of C-H and C-O, leading to enhanced DRM performance. The insights gained from this study provide valuable guidance for the design of advanced alloy materials to efficiently mitigate greenhouse gases, while also opening the path towards sustainable syngas production, offering a viable and environmentally friendly approach to energy generation.

Aging is a major risk factor for multiple chronic disorders in the elderly population, including Alzheimer's disease (AD) and Osteoporosis. AD is a progressive neurodegenerative disease characterized by memory loss. In addition to dementia, several studies have shown that AD patients experience an increased rate of musculoskeletal co-morbidities, such as osteoporosis. Since tissue-specific macrophages contribute to both diseases, this study analyzed the microglia transcriptome of AD mice to determine a common gene signature involved in osteoclast biology. After comparing differentially regulated genes from GEO data sets (GSE93824 and GSE212277), there were 35 common upregulated genes and 89 common downregulated genes. Of these common genes, seven genes are known to play an important role in bone homeostasis. CSF1, SPP1, FAM20C, and Cst7 were upregulated and are associated with osteoclastogenesis and inflammation. Among the downregulated genes, LILRA6, MMP9, and COL18A1 are involved in bone formation and osteoclast regulation. We further validated some of these genes (CSF1, Cst7, and SPP1) in the cortex and the bone of AD mice models. The dysregulation of these microglial genes in AD might provide insights into the co-occurrence of AD and osteoporosis and offer potential therapeutic targets to combat disease progression.

We evaluated the effects of select herbal extracts (Tinospora cordifolia [TC], Tinospora cordifolia with Piper longum [TC + PL], Withania somnifera [WS], Glycyrrhiza glabra [GG], AYUSH–64 [AY-64], and Saroglitazar [S]) on various parameters in a diet-induced obesity mouse model. After 12 weeks of oral administration of the herbal extracts in high-fat diet (HFD)-fed C57BL/6J mice, we analyzed plasma biochemical parameters, insulin resistance (IR), liver histology, and the expression of inflammatory and fibrosis markers, along with hepatic lipidome. We also used a 3D hepatic spheroid model to assess their impact on profibrotic gene expression. Among the extracts, TC + PL showed a significant reduction in IR, liver weight, TNF-α, IL4, IL10 expression, and hepatic lipid levels (saturated triglycerides, ceramides, lysophosphocholines, acylcarnitines, diglycerides, and phosphatidylinositol levels). Saroglitazar reversed changes in body weight, IR, plasma triglycerides, glucose, insulin, and various hepatic lipid species (fatty acids, phospholipids, glycerophospholipids, sphingolipids, and triglycerides). With the exception of GG, Saroglitazar, and other extracts protected against palmitic acid-induced fibrosis marker gene expression in the 3D spheroids. TC + PL and Saroglitazar also effectively prevented HFD-induced insulin resistance, inflammation, and specific harmful lipid species in the liver.

The intricate interplay between gut microbiota and the host is pivotal in maintaining homeostasis and health. Dietary tryptophan (TRP) metabolism initiates a cascade of essential endogenous metabolites, including kynurenine, kynurenic acid, serotonin, and melatonin, as well as microbiota-derived Trp metabolites like tryptamine, indole propionic acid (IPA), and other indole derivatives. Notably, tryptamine and IPA, among the indole metabolites, exert crucial roles in modulating immune, metabolic, and neuronal responses at both local and distant sites. Additionally, these metabolites demonstrate potent antioxidant and anti-inflammatory activities. The levels of microbiota-derived TRP metabolites are intricately linked to the gut microbiota's health, which, in turn, can be influenced by age-related changes. This review aims to comprehensively summarize the cellular and molecular impacts of tryptamine and IPA on health and aging-related complications. Furthermore, we explore the levels of tryptamine and IPA and their corresponding bacteria in select diseased conditions, shedding light on their potential significance as biomarkers and therapeutic targets.

A study was carried out during 2020–21 and 2021–22 at the research farm of Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana to investigate efficacy of different fertilizers on yield, yield attributing characters and biochemical parameter on pomegranate (Punica granatum L.) cv. Bhagwa. Different doses of RDF 50%, 75%, 100% FYM, biofertilizers were evaluated against control by following randomized complete block design, 22 treatments with 3 replications. The results revealed that yield parameters, viz. fruit weight (260.83 g), aril weight (168.00 g), rind weight (92.83g), rind thickness (3.63 mm), fruit length (6.64 cm) and fruit diameter width (4.82 cm), number of fruits per tree (105.61), yield (27.55 kg/tree), fruit firmness (28.76 lb/inch2), fruit cracking (26.17%), fruit set (42.30%), fruit retention (76.19%), fruit drop (23.81%); and biochemical parameters, viz. juice content (35.23%), TSS (14.15 °Brix), acidity (0.82%) and TSS acid ratio (17.37), total sugar (12.06%), reducing sugar (9.86%), non- reducing sugar (2.31%), sugar: acid ratio (41.00) ascorbic acid (16.79 mg/100 g) and anthocyanin content (4.94 mg/100 g) were significantly affected by different organic amendments and biofertilizers treatment against control. Treatment T21-100% RDF + FYM + Azotobacter + PSB proved most effective in enhancing yield attributing characters and biochemical parameters of pomegranate. This treatment gave best result by increasing the nutritional status of the plant through the beneficial effects of different fertilizers.

Measuring proteomic subfractions of HDL can help during cardiovascular risk assessment. Here, the authors show, using a Nanoparticle-Gated Electrokinetic Membrane Sensor, the efficacy of Paroxonase 1 on HDL in its ability to diagnose cardiovascular disease compared to other commonly used methods.

Objective: To evaluate the surgical visual outcomes of three-piece rigid scleral fixated intraocular lens (SFIOL) implantation in subjects with deficient posterior capsule following complications of cataract extraction. Design: Retrospective 4-year cohort study. Participants: Data from 174 eyes that underwent SFIOL combined with pars plana vitrectomy (PPV) between January 2018 and March 2022 and follow-up exams were included. Methods: Demographic characteristics including primary indications for surgery, history of trauma, laterality, baseline and best-corrected visual acuity (BCVA), refraction as spherical equivalent (SE), intraocular pressure (IOP), duration of follow-up, and complications were analyzed. Results: The mean preoperative BCVA was 1.38 ± 0.46 logarithm of the minimum angle of resolution (logMAR), which improved significantly to 0.37 ± 0.22 logMAR. The baseline refractive status measured in spherical equivalent (SE) was 4.1 ± 6.2 Diopters (D), and the postoperative status was −0.4 ± 0.97 D. Early postoperative complications included hypotony (n = 1; 0.57%, vitreous hemorrhage (n = 3; 1.72%), elevated IOP (n = 8; 4.59%), mild dilated pupil (n = 1; 0.57%) and corneal edema (n = 16; 9.19%). Late complications included in this study were retinal detachment (n = 1; 0.57%), cystoid macular edema (CME) (n = 1; 0.57%), primary glaucoma (n = 1; 0.57%), secondary glaucoma (n = 13; 7.47%), zonular dehiscence (n = 3; 1.72%), retinal pigment epithelium (RPE) changes (n = 3; 1.72%), choroidal coloboma (n = 2; 1.14%), posterior dislocation of posterior chamber IOL (PCIOL) (n = 1; 0.57%), corneal decompensation (n = 1; 0.57%), retinal hemorrhage (n = 1; 0.57%), macular hole (n = 1; 0.57%), chronic uveitis (n = 1; 0.57%), mild non-proliferative diabetic retinopathy (NPDR) (n = 3; 1.72%), and mild NPDR with diabetic macular edema (DME) (n = 1; 0.57%). Conclusion: Integrating IOL implantation with vitrectomy various posterior segment complications were resolved in the same setting without attempting a second surgery.

Background: Hepatitis B virus (HBV) infection is one of the major causes of chronic liver disease, which progresses from chronic hepatitis B (CHB) to fibrosis, cirrhosis, and hepatocellular carcinoma (HCC). Early detection and laboratory-based screening of hepatocellular carcinoma are still major challenges. This study was undertaken to determine whether the cancer hallmark gene signatures that are released into circulation as circulating tumour DNA (ctDNA) can be used as a liquid biopsy marker for screening, early detection, and prognosis of HCC.Methods: A total of 130 subjects, including HBV-HCC (n = 80), HBV-cirrhotic and non-cirrhotic (n = 35), and healthy (n = 15) controls, were evaluated for TP53 and beta-catenin (CTNNB1) gene hotspot mutations in ctDNA by Sanger-based cycle sequencing and droplet digital PCR (ddPCR) assays. Mutation detection frequency, percentage mutant fractions, and their association with tumour stage, mortality, and smoking habits were determined.Results: Sanger-based cycle sequencing was carried out for 32 HCC patients. Predict SNP Tools analysis indicated several pathogenic driver mutations in the ctDNA sequence, which include p.D228N, p.C229R, p.H233R, p.Y234D, p.S240T, p.G245S, and p.R249M for TP53 gene exon 7 and p.S33T for CTNNB1 gene exon 3. The TP53 c.746G>T (p.R249M) mutation was detected predominately (25% cases) by sequencing, but there was no dominant mutation at position c.747G>T (p.R249S) that was reported for HBV-HCC patients. A dual-probe ddPCR assay was developed to determine mutant and wild-type copy numbers of TP53 (p.R249M and p.R249S) and CTNNB1 (p.S45P) and their percentage mutant fraction in all 130 subjects. The TP53 R249M and CTNNB1 S45P mutations were detected in 31.25% and 26.25% of HCC patients, respectively, with a high mutant-to-wild-type fraction percentage (1.81% and 1.73%), which is significant as compared to cirrhotic and non-cirrhotic patients. Poor survival was observed in HCC patients with combined TP53 and CTNNB1 gene driver mutations. The TP53 R249M mutation was also significantly (p < 0.0001) associated with smoking habits (OR, 11.77; 95% CI, 3.219–36.20), but not the same for the TP53 R249S mutation.Conclusion: Screening of ctDNA TP53 and CTNNB1 gene mutations by ddPCR may be helpful for early detection and identifying the risk of HCC progression.

Abstract There is an urgent need to validate new drug targets and identify small molecules that possess activity against both drug-resistant and drug-sensitive bacteria. The enzymes belonging to amino acid biosynthesis have been shown to be essential for growth in vitro, in vivo and have not been exploited much for the development of anti-tubercular agents. Here, we have identified small molecule inhibitors targeting homoserine acetyl transferase (HSAT, MetX, Rv3341) from M. tuberculosis. MetX catalyses the first committed step in L-methionine and S-adenosyl methionine biosynthesis resulting in the formation of O-acetyl-homoserine. Using CRISPRi approach, we demonstrate that conditional repression of metX resulted in inhibition of M. tuberculosis growth in vitro. We have determined steady state kinetic parameters for the acetylation of L-homoserine by Rv3341. We show that the recombinant enzyme followed Michaelis–Menten kinetics and utilizes both acetyl-CoA and propionyl-CoA as acyl-donors. High-throughput screening of a 2443 compound library resulted in identification of small molecule inhibitors against MetX enzyme from M. tuberculosis. The identified lead compounds inhibited Rv3341 enzymatic activity in a dose dependent manner and were also active against HSAT homolog from S. aureus. Molecular docking of the identified primary hits predicted residues that are essential for their binding in HSAT homologs from M. tuberculosis and S. aureus. ThermoFluor assay demonstrated direct binding of the identified primary hits with HSAT proteins. Few of the identified small molecules were able to inhibit growth of M. tuberculosis and S. aureus in liquid cultures. Taken together, our findings validated HSAT as an attractive target for development of new broad-spectrum anti-bacterial agents that should be effective against drug-resistant bacteria.

Background: Maternal mortality is a major public health issue in India and Indian government run various programs to improve the scenario in present. Uterine rupture is an obstetrical emergency which may lead to serious undesired complications to mother and neonate and may lead to their mortality. Indian women come from various strata of society, economic background; even most of the population is not aware about these programs run by government for their wellbeing and even basic health rites and facilities provided to them. Objectives: In this study we assessed the incidence of ruptured uterus and the factors associated with, in remote Indian population at a tertiary level health facility. Methods: Prospective observational study conducted at UMAID Hospital between 1’st January 2012 to 31’st December 2013. The data related to cases of ruptured uterus and interventions taken to manage were collected and incidence and factors associated were analyzed and tabulated. Results - A total of 44464 deliveries were conducted in the period of two years, out of them 104 were the cases of ruptured uterus that gives the incidence of 1 in 427 deliveries. Previous uterine scar was found the most common risk factor (56.7%) followed by obstructed labour (20.19%) and multiparity (18.26%). Uterine tear repair was done in 63.5% cases and hysterectomy was done in 35.6 % cases, one patient died without any intervention could be performed. Conclusion: Incidence of ruptured uterus and its complications were high in the study population and the possibility of many more unreported cases can’t be denied due to lack of awareness and lack of facilities. It reflects the need for improvement in maternity services and strong collaboration of information with referring health facilities to ensure prompt referral and management.

Human rights to water and sanitation have been widely recognised in legal instruments at the international, regional, and national levels of governance. More awareness of states’ obligations has provided additional impetus to promote human rights in policy advocacy. The international non-governmental organisation WaterAid, as a non-state actor specialising in the water, sanitation, and hygiene services (WASH) sector, adopts a human rights-based approach (HRBA) to WASH programming. This paper draws on the experiences from WaterAid WASH projects in four countries – Nepal, Ghana, Mali, and Burkina Faso, to evaluate the practical impacts of the HRBA to ensure that governments fulfil their responsibility to realise universal access to water and sanitation services in different contexts. The outcomes highlight that three important contributions of the HRBA: (1) generates greater awareness among rightsholders and duty bearers about responsibilities and entitlements over safe drinking water and sanitation; (2) promotes constructive engagement between the government and rightsholders; and (3) equips people with the motivation, skills, and agency which are critical dimensions to work on sustainable WASH. The WASH sector should, therefore, embrace the power of human rights and invest in the specific activities and frameworks to integrate human rights into systems strengthening the WASH sector, while continuing to analyse and learn how to adapt and improve the approach in different contexts. HIGHLIGHTS The human rights to water and sanitation can add value to other interventions when used as a driver for change, policy content, and people-centred approach.; This paper analyses the experience of using human rights to advance WASH coverage in Nepal, Ghana, Burkina Faso, and Mali, to assess the impact and examine the potential of using human rights to water and sanitation in different low-income countries.;

Abstract Antimicrobial resistant Klebsiella pneumoniae (K. pneumoniae), as being a pathogen of critical clinical concern, urgently demands effective therapeutic options. However, the discovery of novel antibiotics over the last three decades has declined drastically and necessitates exploring novel strategies. Metabolomic modulation has been the promising approach for the development of effective therapeutics to deal with AMR; however, only limited efforts have been made to-date, possibly due to the unavailability of suitable metabolites extraction protocols. Therefore, in order to establish a detailed metabolome of K. pneumoniae and identify a method for targeted exploration of metabolites that are involved in the regulation of AMR associated processes, metabolites were extracted using multiple methods of metabolites extraction (freeze–thaw cycle (FTC) and sonication cycle (SC) method alone or in combination (FTC followed by SC; FTC + SC)) from K. pneumoniae cells and then identified using an orbitrap mass analyzer (ESI-LC–MS/MS). A total of 151 metabolites were identified by using FTC, 132 metabolites by using FTC+SC, 103 metabolites by using SC and 69 metabolites common among all the methods used which altogether enabled the identification of 199 unique metabolites. Of these 199, 70 metabolites were known to have an association with AMR phenotype and among these, the FTC + SC method yielded better (identified 55 metabolites), quantitatively and qualitatively compared to FTC and SC alone (identified 51 and 41 metabolites respectively). Each method of metabolite extraction showed a definite degree of biasness and specificity towards chemical classes of metabolites and jointly contributed to the development of a detailed metabolome of the pathogen. FTC method was observed to give higher metabolomic coverage as compared to SC alone and FTC + SC. However, FTC + SC resulted in the identification of a higher number of AMR associated metabolites of K. pneumoniae compared to FTC and SC alone.

The ageing of coal-fired power stations in South Africa has led to regular power outages. Therefore, the country will need to urgently increase its electricity capacity to meet further energy demand from growing urbanization and population growth. This challenge has increased interest in alternative energy sources, such as renewable energy (RE). South Africa is gradually implementing appropriate renewable energy practices, reducing carbon emissions, cleansing the air, and assuring a more sustainable future. This paper summarizes the availability, current state, and future potential of renewable energy choices in South Africa. This paper also evaluates specific policy measures and government actions aimed at eliminating barriers and increasing renewable energy deployment in the future. It also considers the South African network’s specialized techno-economic analysis. The findings show that South Africa is still heavily reliant on coal, with 78% of the current installed capacity coming from coal power in 2022, compared to 9.3% for solar and wind energy.

A hybrid tree is an artificial structure resembling a natural tree with branches on top of which are mounted solar modules or wind turbines. It can help supply power to mobile phones, laptops, electric vehicles, home appliances and lighting loads covering small or large areas, which can be the best energy source for sustainable cities and modern societies. This paper presents a 3 kW hybrid tree design consisting of 2 kW solar and 1 kW wind to be installed at Vaddeswaram, Andhra Pradesh (16.26°N and 80.36°E) which can generate maximum energy using a two-axis tracking system. Different designs and applications of energy trees available worldwide are also presented. P–V and I–V characteristics of solar panels were obtained at different irradiance and temperature values. For wind turbine, power characteristics at different wind speed and co-efficient of power at different tip speed ratios were studied. Power generation study for the hybrid tree was carried out at different tilt angles from 10° to 20° for solar panels. Structural optimisations are performed to validate whether the structure can withstand the loads applied. The proposed solar-wind hybrid tree can generate 4709 kWh/year with the two-axis tracking system instead of generating 3763 kWh/year when solar panels are fixed at an 18.25° tilt angle.

The objective of the current study was to evaluate the altitudinal variability in chemical compounds, nematicidal, insecticidal, herbicidal, and antifungal activity of the essential oils of H. coronarium collected from four different habitats of Tarai and Kumaun region of Uttarakhand. Essential oils were hydro-distilled from rhizomes of H. coronarium, and their yield varied from 0.05 to 0.25% (v/w). Based on GC-MS analysis, the major compounds observed were 1, 8-cineole (12.21–18.27%), coronarin E (10.20–14%), α-terpineol (5.32–10.13%), terpinen-4-ol (2.20–4.67%), α-pinene (4.90–8.77%), Z-caryophyllene (4.67–12.29%), and linalool (1.96–4.62%). To visually observe the variation in the oil composition profile of essential oils, heat map clustering, Venn diagram, and principal component analysis (PCA) were performed. To evaluate the pesticidal properties, the essential oils were tested under laboratory conditions. Additionally, significant nematicidal activity was demonstrated by essential oils against Meloidogyne incognita, good insecticidal activity against Spodoptera litura, and moderate herbicidal activity on Raphanus raphanistrum subsp. sativus, and effective antifungal activity against Fusarium oxysporum and Curvularia lunata was observed in the current investigation.

Power quality is the main problem with the power system network. Poor electricity quality may cause disruptions and financial challenges for consumers. Additionally, it could cause electronic gadgets to overheat, be damaged, or operate inadvertently. Transformers and other components of the power distribution system may also overheat and experience core saturation. This study investigates potential problems with the quality of the electricity in a photovoltaic linked power system. This paper suggests a new optimization method for day-ahead trading and control in DC microgrid power management (MG). The goal of the multiobjective optimization dispatch (MOOD) problem is to lower overall operational costs as well as the costs associated with power loss in efficient conservation systems and exhaust emission quantities such as nitrogen oxides, sulphur dioxide, and carbon dioxide. Using the weighted sum approach, the multiobjective optimization problem is reduced to a single optimization problem. The analytical hierarchy process (AHP) method is then used to calculate the weight coefficients while accounting for each objective function’s preferences. Power balancing, high levels of renewable energy penetration, the most effective scheduling of battery charging and discharging, control of load curtailment, and the technical limitations of the system are all taken into account when evaluating the system’s performance in both grid-connected and standalone operation modes. The ant lion optimizer (ALO) technique is taken into account to tackle MOOD, comparing the effectiveness of the proposed method to other well-known heuristic optimization techniques. The simulation’s results demonstrate how effectively the proposed strategy can address the coordinated control and optimization dispatch difficulties. They also found that operating the MG system economically in grid-connected mode can save overall costs by roughly 4.70% compared to doing it in independent mode.

Background: Hepatocellular carcinoma (HCC) occurs in the majority of patients with underlying chronic liver disease (CLD) of viral and non-viral etiologies, which requires screening for early HCC diagnosis. Liquid biopsy holds great promise now for early detection, prognosis, and assessment of response to cancer therapy. Cell-free DNA (cfDNA) as a liquid biopsy marker can be easily detected by a real-time quantitative PCR (RT-qPCR) assay for a change in its concentration, integrity, and fragmentation in cancer.Methods: Patients with HCC (n = 100), CLD (n = 100), and healthy (n = 30) controls were included in the study. The cfDNA was isolated from serum and real-time quantitative PCR (RT-qPCR) was carried out using primer pairs for large (>205 bp) and small (110 bp) fragments of repetitive elements (ALU and LINE1) and housekeeping genes (β-Actin and GAPDH). Total cfDNA concentrations and integrity index were determined by the absolute quantitation method (L/S ratio or cfDII-integrity). The cfDII as a measure of fragmentation was determined by comparative Ct (2–ΔΔCt) method of relative quantification (cfDII-fragmentation). Using a receiver operating characteristic (ROC) curve, cfDII-integrity and cfDII-fragmentation were used to differentiate HCC from CLD patients or healthy controls.Results: The total cfDNA concentrations in the sera of HCC (244 ng/ml) patients were significantly higher than those of CLD (33 ng/ml) patients and healthy (16.88 ng/ml) controls. HCC patients have shown poor DNA integrity or excess cfDNA fragmentation than CLD patients and healthy controls. The cfDII-integrity of GAPDH and ALU fragment significantly differentiate HCC from CLD at AUROC 0.72 and 0.67, respectively. The cfDII-fragmentation following normalization with cfDNA of healthy control has shown significant differential capabilities of HCC from CLD at AUROC 0.67 using GAPDH and 0.68 using the ALU element. The ROC curve of LINE1 and β-actin cfDII was not found significant for any of the above methods. The cfDII-fragmentation trend in HCC patients of different etiologies was similar indicating increased cfDNA fragmentation irrespective of its etiology.Conclusion: The cfDII measuring both DNA integrity (L/S ratio) and fragmentation of the Alu and GAPDH genes can differentiate HCC from CLD patients and healthy individuals.

Summary: Background: In Nepal, Streptococcus pneumoniae (pneumococcus) is a common cause of bacterial pneumonia in children, and is a major health concern. There are few data on the effect of vaccination on the disease or colonisation with pneumococci in the nasopharynx of children in this setting. The 10-valent pneumococcal conjugate vaccine (PCV10) was introduced into the routine infant immunisation schedule in Nepal in 2015. We aimed to investigate the effect of the introduction of PCV10 on pneumococcal carriage and disease in children in Nepal. Methods: We did an observational cohort study in children in Nepal. The hospital surveillance study took place in Patan Hospital, Kathmandu, and community studies in healthy children took place in Kathmandu and Okhaldhunga district. For the surveillance study, all children admitted to Patan Hospital between March 20, 2014, and Dec 31, 2019, aged between 2 months and 14 years with clinician-suspected pneumonia, were eligible for enrolment. For the community study, healthy children aged 0–8 weeks, 6–23 months, and 24–59 months were recruited from Kathmandu, and healthy children aged 6–23 months were recruited from Okhaldhunga. We assessed the programmatic effect of PCV10 introduction using surveillance for nasopharyngeal colonisation, pneumonia, and invasive bacterial disease from 1·5 years before vaccine introduction and 4·5 years after vaccine introduction. For the surveillance study, nasopharyngeal swabs, blood cultures, and chest radiographs were obtained from children admitted to Patan Hospital with suspected pneumonia or invasive bacterial disease. For the community study, nasopharyngeal swabs were obtained from healthy children in the urban and rural settings. Pneumonia outcomes were analysed using log-binomial models and adjusted prevalence ratios (aPR) comparing each calendar year after the introduction of the vaccine into the national programme with the pre-vaccine period (2014–15), adjusted for calendar month, age, and sex. Findings: Between March 20, 2014, and Dec 31, 2019, we enrolled 2051 children with suspected pneumonia, and 11 354 healthy children (8483 children aged 6–23 months, 761 aged 24–59 months, and 2110 aged 0–8 weeks) to assess nasopharyngeal colonisation. Among clinical pneumonia cases younger than 2 years, vaccine serotype carriage declined 82% (aPR 0·18 [95% CI 0·07–0·50]) by 2019. There was no decrease in vaccine serotype carriage in cases among older unvaccinated age groups. Carriage of the additional serotypes in PCV13 was 2·2 times higher by 2019 (aPR 2·17 [95% CI 1·16–4·05]), due to increases in serotypes 19A and 3. Vaccine serotype carriage in healthy children declined by 75% in those aged 6–23 months (aPR 0·25 [95% CI 0·19–0·33]) but not in those aged 24–59 months (aPR 0·59 [0·29–1·19]). A decrease in overall vaccine serotype carriage of 61% by 2019 (aPR 0·39 [95% CI 0·18–0·85]) was also observed in children younger than 8 weeks who were not yet immunised. Carriage of the additional PCV13 serotypes in children aged 6–23 months increased after PCV10 introduction for serotype 3 and 19A, but not for serotype 6A. The proportion of clinical pneumonia cases with endpoint consolidation on chest radiographs declined from 41% in the pre-vaccine period to 25% by 2018, but rose again in 2019 to 36%. Interpretation: The introduction of the PCV10 vaccine into the routine immunisation programme in Nepal has reduced vaccine serotype carriage in both healthy children and children younger than 2 years with pneumonia. Increases in serotypes 19A and 3 highlight the importance of continued surveillance to monitor the effect of vaccine programmes. This analysis demonstrates a robust approach to assessing vaccine effect in situations in which pneumococcal disease endpoint effectiveness studies are not possible. Funding: Gavi, the Vaccine Alliance and the World Health Organization.

The essential oils (OEs) of the leaves, stems, and spikes of P. marginatum were obtained by hydrodistillation, steam distillation, and simultaneous extraction. The chemical constituents were identified and quantified by GC/MS and GC-FID. The preliminary biological activity was determined by assessing the toxicity of the samples to Artemia salina Leach larvae and calculating the mortality rate and lethal concentration (LC50). The antioxidant activity of the EOs was determined by the DPPH radical scavenging method. Molecular modeling was performed using molecular docking and molecular dynamics, with acetylcholinesterase being the molecular target. The OES yields ranged from 1.49% to 1.83%. The EOs and aromatic constituents of P. marginatum are characterized by the high contents of (E)-isoosmorhizole (19.4–32.9%), 2-methoxy-4,5-methylenedioxypropiophenone (9.0–19.9%), isoosmorhizole (1.6–24.5%), and 2-methoxy-4,5-methylenedioxypropiophenone isomer (1.6–14.3%). The antioxidant potential was significant in the OE of the leaves and stems of P. marginatum extracted by SD in November (84.9 ± 4.0 mg TE·mL−1) and the OEs of the leaves extracted by HD in March (126.8 ± 12.3 mg TE·mL−1). Regarding the preliminary toxicity, the OEs of Pm-SD-L-St-Nov and Pm-HD-L-St-Nov had mortality higher than 80% in concentrations of 25 µg·mL−1. This in silico study on essential oils elucidated the potential mechanism of interaction of the main compounds, which may serve as a basis for advances in this line of research.

Ebola virus glycoprotein (GP) is a major target for vaccine design. Here, the authors identify mutations to improve GP stability and yield, design two multilayered nanoparticle carriers, and demonstrate good immunogenicity of the modified GP on nanoparticles in mice and rabbits.

Background: Neurological manifestations following dengue fever are increasingly reported and include encephalopathy, encephalitis, neuro-ophthalmic manifestations or Guillain–Barre syndrome-like presentation. Herein, we expand the clinical spectrum of this neurological repertoire by describing two patients presenting with acute necrotizing encephalopathy of childhood (ANEC) following dengue fever. Clinical Description: Both patients presented with features of acute febrile encephalopathy following an acute febrile illness that proved to be dengue fever. Laboratory investigations revealed thrombocytopenia (patient 1), transaminitis and normal findings on cerebrospinal fluid analysis (patient 1 and 2). Both the patients tested positive for NS1 antigen and dengue serology. Neuroimaging revealed bilateral symmetrical thalamic lesions with cerebellar, midbrain, and cortical white matter lesions suggestive of ANEC. Management: Patient 1 received supportive treatment while patient 2 received pulse methylprednisolone therapy along with supportive treatment. Both the patients had complete clinic-radiological recovery. Conclusion: ANEC following dengue fever may have a relatively benign course, besides the fulminant course that has been described earlier in a single case.

Background: Caesarean section (C-section) delivery is a serious maternal health concern in the long run. Notedly, there is a lack of studies dealing with understanding the ways and reasons of C-section deliveries becoming a public health issue in today's time in India and the measures to reduce the unnecessary caesarean sections. We have conducted this study to study the changes in the state-wise prevalence of C-section deliveries in India and understand C-section delivery's socioeconomic and biomedical predictors. Materials and Methods: The study uses data from the fourth and fifth rounds of the National Family Health Surveys (NFHS). The per cent differences in the C-section deliveries from NFHS-4 to NFHS-5 across the states were measured through relative changes. The association between the C-section delivery and socioeconomic and biomedical factors were assessed using multiple logistic regression. Results: This study revealed that the C-section deliveries are higher in the southern states than in the other parts of India. Literacy plays a vital role in C-section deliveries. The probabilities of C-section deliveries are more in 30–40 and 40 + years. The women belonging to the median wealth index category were more likely (OR–CI, 1.62 [1.55–1.66]) to undergo the C-section followed by the women from wealthy households (OR–CI, 1.46 [1.41–1.52]). Conclusion: The Government's health policymakers should take the initiative to reduce the C-section section delivery by means of building maternal health literacy and awareness among women and the community so that its future implications can be minimised. It is crucial to formulate a mandate and implement it in the states where C-sections are too high through community health workers and primary care providers.

Abstract Skeletal muscle constitutes more than 30% of total body mass using substrates such as glycogen, glucose, free fatty acids, and creatinine phosphate to generate energy. Consequently, multinucleated myofibers and resident mononucleated stem cells (satellite cells) generate several metabolites, which enter into circulation affecting the function of other organs, especially during exercise and atrophy. The present study was aimed at building a comprehensive profile of metabolites in primary human skeletal muscle cells during myogenic progression in an untargeted metabolomics approach using a high resolution Orbitrap Fusion Tribrid Mass Spectrometer. Identification of metabolites with multivariate statistical analyses showed a global shift in metabolomic profiles between myoblasts undergoing proliferation and differentiation along with distinctly separable profiles between early and late differentiating cultures. Pathway analyses of 71 unique metabolites revealed that Pantothenate metabolism and Coenzyme A biosynthesis and Arginine Proline metabolism play dominant roles in proliferating myoblasts, while metabolites involved in vitamin B6, Glyoxylate and Dicarboxylate, Nitrogen, Glutathione, and Tryptophan metabolism were upregulated during differentiation. We found that early and late differentiating cultures displayed differences in Phenylalanine, Tyrosine, Glycine, Serine and Threonine metabolism. Our results identify metabolites during maturation of muscle from progenitor myoblasts that have implications in muscle regeneration and pathophysiology.

ABSTRACT: Canopy covers can be measured using destructive (visual) and non-destructive methods (spectral indices, photogrammetry, visual assessment, and quantum sensor). The precision of crop cover estimation, however, is dependent on the selection of appropriate methods. Studies were conducted at the Indian Grassland and Fodder Research Institute, Jhansi to compare the forage crops canopy cover estimated using photogrammetry software (Canopeo and SamplePoint) and visual assessments. Assessments were performed in three summer crops (corn, cowpea, and sorghum), two winter crops (Egyptian clover, and oats), and bare ground condition. For each plot, three nadir images (directly above the canopy) were captured using digital cameras from a height of 1.5 m above the soil surface between 10 AM to 2 PM on bright sunny days. The results indicated that the relationships between visual assessment and Canopeo (regression coefficient, (R2 = 0.96), visual assessment and SamplePoint (0.96), and Canopeo and SamplePoint (0.98) were linear when data were pooled across all the crops. SamplePoint and Canopeo is further, appropriate for cowpea (Pearson coefficient (R = 0.99 and 0.94), oats (0.92 and 0.97), and sorghum (0.46 and 0.51), respectively. SamplePoint and Canopeo are not suitable for berseem (-0.15) and corn (-0.61), respectively, due to dead residues after the first harvest in berseem and taller corn might have influenced the image quality. Therefore, the stage of the crop, the height of the crop, and dead residues around the plants can greatly influence the estimation of crop cover. In conclusion, the results indicated that this photogrammetry software can be used for non-destructive crop canopy measurement with the above-mentioned precautions in the forage crops tested. • Forage canopy cover is estimated generally by visual scoring, and the outcome varies widely from person to person. • Photogrammetry methods (Canopeo and SamplePoint) were positiviely correlated with visual scoring for cowpea, oats, and sorghum. • However, Canopeo and SamplePoint may not suitable for taller crops like corn and ratoon crops like berseem.

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in the Golden Syrian hamster causes lung pathology that resembles human coronavirus disease (COVID-19). However, extrapulmonary pathologies associated with SARS-CoV-2 infection and post-COVID sequelae remain to be understood. Here, we show, using a hamster model, that the early phase of SARS-CoV-2 infection leads to an acute inflammatory response and lung pathologies, while the late phase of infection causes cardiovascular complications (CVCs) characterized by ventricular wall thickening associated with increased ventricular mass/body mass ratio and interstitial coronary fibrosis. Molecular profiling further substantiated our findings of CVC as SARS-CoV-2-infected hamsters showed elevated levels of serum cardiac troponin I, cholesterol, low-density lipoprotein, and long-chain fatty acid triglycerides. Serum metabolomics profiling of SARS-CoV-2-infected hamsters identified N-acetylneuraminate, a functional metabolite found to be associated with CVC, as a metabolic marker was found to be common between SARS-CoV-2-infected hamsters and COVID-19 patients. Together, we propose hamsters as a suitable animal model to study post-COVID sequelae associated with CVC, which could be extended to therapeutic interventions.

We present an approach that combines photon spectrum correlation analysis with the reconstruction of three-dimensional momentum distribution from velocity map images in an efficient, single-step procedure. We demonstrate its efficacy with the results from the photoionization of the 2 p -shell of argon using the Free-electron LASer in Hamburg free-electron laser (FEL). Distinct spectral features due to the spin-orbit splitting of Ar $^+(2p^{-1})$ are resolved, despite the large average bandwidth of the ionizing pulses from the FEL. This demonstrates a clear advantage over the conventional analysis method, and it will be broadly beneficial for velocity map imaging experiments with FEL sources. The retrieved linewidth of the binding energy spectrum approaches the resolution limitation prescribed by the spectrometers used to collect the data. Our approach presents a path to extend spectral-domain ghost imaging to the case where the photoproduct observable is high-dimensional.

BackgroundNovel coronavirus SARS-CoV2 is evolving continuously with emergence of several variants of increasing transmission capabilities and pandemic potential. Generation of variants occurs through accumulation of mutations due to the RNA nature of viral genome, which is further enhanced by variable selection pressures of this ongoing pandemic. COVID-19 presentations of SARS-CoV2 are mainly pulmonary manifestations with or without mild gastrointestinal (GI) and hepatic symptoms. However, the virus has evolved beyond pulmonary manifestations to multisystem disorder due to systemic inflammation and cytokine storm. Definitive cause of acute or late onset of inflammation, infection in various organs, and host response to emerging variants lacks clarity and needs elucidation. Several studies have reported underlying diseases including diabetes, hypertension, obesity, cardio- and cerebrovascular disorders, and immunocompromised conditions as significant risk factors for severe form of COVID-19. Pre-existing liver and GI diseases are also highly predominant in the population, which can alter COVID-19 outcome due to altered immune status and host response. We aim to review the emerging variants of SARS-CoV2 and host response in patients with pre-existing liver and GI diseases.MethodsIn this review, we have elucidated the emergence and characteristic features of new SARS-CoV2 variants, mechanisms of infection and host immune response, GI and hepatic manifestation with radiologic features of COVID-19, and outcomes in pre-existing liver and GI diseases.Key FindingsEmerging variants of concern (VOC) have shown increased transmissibility and virulence with severe COVID-19 presentation and mortality. There is a drastic swift of variants from the first wave to the next wave of infections with predominated major VOC including alpha (B.1.1.7, UK), beta (B.1.351, South Africa), gamma (B.1.1.28.1, Brazil), and delta (B1.1.617, India) variants. The mutations in the spike protein of VOC are implicated for increased receptor binding (N501Y, P681R) and immune escape (L452R, E484K/Q, T478K/R) to host response. Pre-existing liver and GI diseases not only have altered tissue expression and distribution of viral entry ACE2 receptor but also host protease TMPRSS2, which is required for both spike protein binding and cleavage to initiate infection. Altered immune status due to pre-existing conditions results in delayed virus clearance or prolonged viremia. Even though GI and hepatic manifestations of SARS-CoV2 are less severe, the detection of virus in patient’s stool indicates GI tropism, replication, and shedding from the GI tract. COVID-19-induced liver injury, acute hepatic decompensation, and incidences of acute-on-chronic liver failure may change the disease outcomes.ConclusionsThe changes in the spike protein of emerging variants, immunomodulation by viral proteins, and altered expression of host viral entry receptor in pre-existing diseases are the key determinants of host response to SARS-CoV2 and its disease outcome.

We studied the ability to reduce the supply–demand mismatch of a periodic Make-to-Order (MTO) production system using safety stocks with marketing managing demand using lead-time guarantee and price as levers. The aim is to understand the interdependencies between lead-time guarantee, price, and safety stocks. We modeled the problem as an unconstrained stochastic non-linear programming problem, maximizing the expected profit per-unit time and obtaining a closed-form solution. The price is a function of the lead-time guarantee. Based on the sensitivity analysis of problem parameters, we found that lead-time competitiveness is adversely affected by a low safety stock level, MTO production rate (i.e., low supply capability), and product price (i.e., high demand volume). A shorter lead-time requires higher safety stock through reduced product and inventory holding costs. A higher price for a shorter lead-time in a lead-time-sensitive market reduces the safety stock. In a price-sensitive market, lead-time is decreased instead of the price. Demand variation results in longer lead-time and higher safety stock (provided the holding cost is low). For a higher price premium, price increases and lead-time decrease (safety stock increases). The integrated operation-marketing model captures the complex trade-offs not seen in a hierarchical model to produce better solutions.

Natural products are being targeted as alternative anticancer agents due to their non-toxic and safe nature. The present study was conducted to explore the in vitro anticancer potential of Justicia adhatoda (J. adhatoda) leaf extract. The methanolic leaf extract was prepared, and the phytochemicals and antioxidant potential were determined by LCMS analysis and DPPH radical scavenging assay, respectively. A docking study performed with five major alkaloidal phytoconstituents showed that they had a good binding affinity towards the active site of NF-κB. Cell viability assay was carried out in five different cell lines, and the extract exhibited the highest cytotoxicity in MCF-7, a breast cancer cell line. Extract-treated cells showed a significant increase in nitric oxide and reactive oxygen species production. Cell cycle analysis showed an arrest in cell growth at the Sub-G0 phase. The extract successfully inhibited cell migration and colony formation and altered mitochondrial membrane potential. The activities of superoxide dismutase and glutathione were also found to decrease in a dose-dependent manner. The percentage of apoptotic cells was found to increase in a dose-dependent manner in MCF-7 cells. The expressions of caspase-3, Bax, and cleaved-PARP were increased in extract-treated cells. An increase in the expression of NF-κB was found in the cytoplasm in extract-treated cells. J. adhatoda leaf extract showed a potential anticancer effect in MCF-7 cells.

The underlying factors contributing to the evolution of SARS-CoV-2-specific T cell responses during COVID-19 infection remain unidentified. To address this, we characterized innate and adaptive immune responses with metabolomic profiling longitudinally at three different time points (0–3, 7–9, and 14–16 days post-COVID-19 positivity) from young, mildly symptomatic, active COVID-19 patients infected during the first wave in mid-2020. We observed that anti-RBD IgG and viral neutralization are significantly reduced against the delta variant, compared to the ancestral strain. In contrast, compared to the ancestral strain, T cell responses remain preserved against the delta and omicron variants. We determined innate immune responses during the early stage of active infection, in response to TLR 3/7/8-mediated activation in PBMCs and serum metabolomic profiling. Correlation analysis indicated PBMCs-derived proinflammatory cytokines, IL-18, IL-1β, and IL-23, and the abundance of plasma metabolites involved in arginine biosynthesis were predictive of a robust SARS-CoV-2-specific Th1 response at a later stage (two weeks after PCR positivity). These observations may contribute to designing effective vaccines and adjuvants that promote innate immune responses and metabolites to induce a long-lasting anti-SARS-CoV-2-specific T cell response.

The growth in the global energy consumption demands an increasing use of the renewable energy sources. Nevertheless, fossil fuels are projected to remain as the dominating backbone of petrochemical and consumer industry in the coming decades. As a bridge from the fossil fuel-based to renewable fuel-based economy, chemical looping technology has been developed to achieve sustainable applications by generating highly efficient energy and products through economically viable processes. This article discusses the advances in chemical looping with a focus on the fundamentals of formulation concepts on chemical looping carriers, rationale for reactor configurations, and design consideration from the process analysis. Particularly, the carriers utilized for different chemical looping applications ranging from syngas generation to ammonia synthesis are elaborated. The reactor configurations applied for different chemical looping systems are discussed along with the essentials of the process simulation approach to system optimization. The article also describes the prospects of the future development in the chemical looping technology, and its viability and readiness for industrial deployment.

Stabilized, native-like trimers of the HIV envelope protein, such as SOSIP trimers, are potential antigens for an HIV vaccine. Here, the authors generate a SOSIP trimer based on the consensus sequence of group M isolates, determine its structure and exposure of common epitopes, and show immunogenicity in rabbits and non-human primates.

The fusion peptide (FP) of HIV envelope (Env) is critical in the cell entry process. Here, Kumar et al. present crystal structures of B41 SOSIP.664 Env trimer and show the dynamic nature of the FP and proximal region, which likely relates to conformational rearrangements required for membrane fusion.

A comparative study of volatiles, antioxidant activity, phytotoxic activity, as well as in silico molecular docking and ADMET study, was conducted for essential oils from three Vitex species, viz., V. agnus-castus, V. negundo, and V. trifolia. Essential oils (OEs) extracted by hydrodistillation were subjected to compositional analysis using GC-MS. A total number of 37, 45, and 43 components were identified in V. agnus-castus, V. negundo, and V. trifolia, respectively. The antioxidant activity of EOs, assessed using different radical-scavenging (DPPH, H2O2 and NO), reducing power, and metal chelating assays, were found to be significant as compared with those of the standards. The phytotoxic potential of the EOs was performed in the receptor species Raphanusraphanistrum (wild radish) and the EOs showed different levels of intensity of seed germination inhibition and root and shoot length inhibition. The molecular docking study was conducted to screen the antioxidant and phytotoxic activity of the major and potent compounds against human protein target, peroxiredoxin 5, and 4-hydroxyphenylpyruvate dioxygenase protein (HPPD). Results showed good binding affinities and attributed the strongest inhibitory activity to 13-epi-manoyl oxide for both the target proteins.