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Comparing polymer matrix composites with conventional composites, such as continuous fiber-reinforced composites, shows a considerable increase in strength and fracture toughness. In this study, compression molding was used to create hybrid (carbon and silk fabric-reinforced) and carbon fabric-reinforced epoxy matrix composites using a hand layup process. This article discusses the evaluated flexural strength (FS) and plane strain Mode-I fracture toughness of composite materials. The impact of carbon fabric reinforcement on the fracture toughness of these composites was assessed using the obtained results. It was found that the addition of silk fabric reinforcement decreased the hybrid composite’s plane strain Mode-I fracture toughness. Fracture toughness and FS are higher in carbon fabric-reinforced composite than in hybrid composite.

Background Parenting practices profoundly influence a child’s development, encompassing nurturing, boundary-setting, and developmental fostering. Understanding the status and determinants of parenting children in rural Nagpur is crucial for informing interventions aimed at promoting optimal child well-being in this community. Objective To find the status and determinants of parenting among 12–36 months old children in rural Nagpur. Methods Community-based cross-sectional study design. A total of 314 children were selected through simple random sampling. Results An appropriate parenting proportion was there for 71.9%, 95% CI: 66.7–76.6 of the study subjects. On multivariable analysis, occupation of the father being a labourer, was significantly associated with appropriate parenting.

Abstract Introduction The coronavirus disease 2019 (COVID-19) pandemic has caused unprecedented pressure on healthcare systems globally. The lack of quality guidelines on the management of COVID-19 in rheumatologic disease, renal disease, hematological malignancy, and solid organ transplant recipients has resulted in a wide variation in clinical practice. Methods Using a Delphi process, a panel of 16 key opinion leaders developed clinical practice statements regarding vaccine recommendations in areas where standards are absent or limited. Agreement among practicing physicians with consensus statements was also assessed via an online physician survey. The strength of the consensus was determined by the following rating system: a strong rating was defined as all four key opinion leaders (KOLs) rating the statement ≥ 8, a moderate rating was defined as three out of four KOLs rating the statement ≥ 8, and no consensus was defined as less than three out of four KOLs provided a rating of ≤ 8. Specialists voted on agreement with each consensus statement for their disease area using the same ten-point scoring system. Results Key opinion leaders in rheumatology, nephrology, and hematology achieved consensuses for all nine statements pertaining to the primary and booster series with transplant physicians reaching consensus on eight of nine statements. Experts agreed that COVID-19 vaccines are safe, effective, and well tolerated by patients with rheumatological conditions, renal disease, hematologic malignancy, and recipients of solid organ transplants. The Delphi process yielded strong to moderate suggestions for the use of COVID-19 messenger ribonucleic acid (mRNA) vaccines and the necessity of the COVID-19 booster for the immunocompromised population. The expert panel had mixed feelings concerning the measurement of antibody titers, higher-dose mRNA vaccines, and the development of disease-specific COVID-19 guidance. Conclusions These results confirmed the necessity of COVID-19 vaccines and boosters in immunocompromised patients with rheumatologic disease, renal disease, hematological malignancy, and solid organ transplant recipients. Statements where consensus was not achieved were due to absent or limited evidence.

Abstract Introduction The United States Advisory Committee on Immunization Practices (ACIP) and the Centers for Disease Control (CDC) recommend COVID-19 vaccines for all immunocompromised individuals. Certain disease groups are at increased risk of comorbidity and death for which disease-specific recommendations should be considered. The objective of the Delphi panel of experts was to summarize expert consensus on COVID-19 vaccinations for patients with rheumatologic disease, renal disease, hematologic malignancy and solid organ transplant (SOT) in the US. Methods A two-stage Delphi panel method was employed, starting with qualitative interviews with key opinion leaders (KOLs) in the four disease areas (n = 4 KOLs, n = 16 total) followed by three rounds of iterative revision of disease-specific COVID-19 vaccine recommendations. Final consensus was rated after the third round. Statements addressed primary and booster dosing (e.g., number and frequency) and other considerations such as vaccine type or heterologous messenger ribonucleic acid (mRNA) vaccination. Following the Delphi Panel, an online survey was conducted to assess physician agreement within the disease areas (n = 50 each, n = 200 total) with the consensus statements. Results Moderate to strong consensus was achieved for all primary series vaccination statements across disease groups, except one in hematology. Similarly, moderate to strong consensus was achieved for all booster series statements in all disease areas. However, statements on antibody titer measurements for re-vaccination considerations and higher dosages for immunocompromised patients did not reach agreement. Overall, approximately 62%–96% of physicians strongly agreed with the primary and booster vaccine recommendations. However, low agreement (29%–69%) was found among physicians for time interval between disease-specific treatment and vaccination, recommendations for mRNA vaccines, heterologous mRNA vaccination, antibody titer measurement and higher vaccine dosage for immunocompromised groups. Conclusion Consensus was achieved for disease-specific COVID-19 vaccine recommendations concerning primary and booster series vaccines and was generally well accepted by practicing physicians.

Adolescent growth depends on impulse control, which impacts wellbeing, social interactions and academic achievement. The purpose of this narrative review is to assess the efficacy of therapeutic and educational initiatives aimed at enhancing impulse control during this crucial developmental phase. The review highlights various successful interventions that can be used to improve impulse control in adolescents. These interventions include self-regulation strategies, serious games, mindfulness practices, cognitive-behavioural approaches and biopsychosocial workshops. To support comprehensive adolescent development, future research should focus on long-term outcomes and the integration of these interventions into broader educational and therapeutic frameworks.

Background: The cardiovascular disease (CVD) risk prediction charts, updated by the World Health Organization for 21 regions in 2019. These charts—lab and non-lab versions—estimate a person’s overall CVD risk; the non-lab version is intended for low-resource environments. Objectives: Using the “non-lab” and “lab” versions of the WHO CVD risk prediction charts, we sought to estimate the burden of ten-year risk of a fatal or non-fatal CVD event in a tertiary care hospital of Puducherry and to assess the agreement between them. Materials and Methods: We included 255 doctors working in a tertiary care hospital in Puducherry. Age, gender, systolic blood pressure, and smoking status are all factors used in both charts. Moreover, a lab chart requires a person’s total cholesterol and diabetes mellitus status, whereas a non-lab chart requires a person’s body mass index. Proportions (95% confidence intervals) were used to portray the population at various CVD risk levels. Using Cohen’s Kappa, the degree of agreement between the lab and non-lab charts was assessed (k). Results: The majority of the study participants had 20% in both the charts, which shows the better health-seeking behaviour of doctors. A good level of agreement was shown by the 95.2% (95%CI = 91.7 – 97.4 ) concordance in the risk categorization between the two charts (k = 0.934). Conclusion: When data are available and there is strong agreement between non-lab and lab-based charts, it is practical to apply WHO-updated CVD risk prediction charts.

Background: Developmental delay happens when a child fails to attain age-appropriate milestones. Identification of developmental delay in children is important to initiate early intervention in them which will facilitate the children to have a productive life in their later years. Objectives: The objective was to study the prevalence of developmental delay among 12–36-month-old children from the area of Primary Health Centre, Bela, in rural Nagpur, Maharashtra. Materials and Methods: This was a community-based cross-sectional study design. A total of 314 children were selected through simple random sampling and assessed for delay using the Pediatric Development Screening Tool (PDST). Results: 14.9% had developmental delay in at least any one domain and 3.5% had global developmental delay. Domain-specific developmental delay was highest for language delay (10%) followed by fine motor (5%). Gross motor and personal social delays had the same prevalence (3.1%). On multivariable lower literacy, level of mother and Composite Index of Anthropometric Failure were significant variables for any developmental delay. Hospitalization of the child during the 1st month of life and lower parenting scores were the significant factors associated with global delay. Conclusion: Development delay is present in a sizeable proportion of children

Abstract Background: Follicle-stimulating hormone receptor (FSHR) and luteinizing hormone/choriogonadotropin receptor (LHCGR) are integral to ovarian function, facilitating follicle development and maturation through their respective hormonal interactions. The influence of receptor polymorphisms on the outcomes of freeze-all cycles remains unclear. Objective: This study investigates the impact of FSHR N680S and LHCGR N312S polymorphisms on clinical outcomes in freeze-all cycles. Materials and Methods: Women undergoing controlled ovarian stimulation for assisted reproductive technology participated in this study. They were administered a gonadotropin-releasing hormone antagonist protocol, with recombinant follicle-stimulating hormone (rFSH) dosages adjusted according to age, body mass index, antral follicle count, and individual hormonal responses. Additionally, human menopausal gonadotropin dosages were tailored based on the LHCGR N312S genetic variant. Results: Analysis revealed no significant differences in age, body mass index, antral follicle count, or marital status across the genotypes of FSHR N680S and LHCGR N312S. However, notable differences were observed in the rFSH dosage required daily and in total among the FSHR polymorphism genotypes. Genotypes of the LHCGR polymorphism correlated with fewer stimulation days. A significant interaction was observed between the 2 polymorphisms concerning total rFSH dosage. Conclusion: The presence of serine in the FSHR polymorphism was associated with higher rFSH dosage requirements. Both FSHR N680S and LHCGR N312S polymorphisms significantly influenced clinical pregnancy and live birth outcomes in freeze-all cycles, underscoring the potential of a pharmacogenomic approach to optimize hormone supplementation in controlled ovarian stimulation protocols during assisted reproductive technology treatments.

Author verification is challenging because of the diversity in writing styles. We propose an enhanced handwriting verification method that combines handcrafted and automatically extracted features. The method uses a genetic algorithm to reduce the dimensionality of the feature set. We consider offline Bangla handwriting content and evaluate the proposed method using handcrafted features with a simple logistic regression, radial basis function network, and sequential minimal optimization as well as automatically extracted features using a convolutional neural network. The handcrafted features outperform the automatically extracted ones, achieving an average verification accuracy of 94.54% for 100 writers. The handcrafted features include Radon transform, histogram of oriented gradients, local phase quantization, and local binary patterns from interwriter and intrawriter content. The genetic algorithm reduces the feature dimensionality and selects salient features using a support vector machine. The top five experimental results are obtained from the optimal feature set selected using a consensus strategy. Comparisons with other methods and features confirm the satisfactory results.

The generation of copper oxide (CuO) nanoparticles using a biogenic extract (solanum melongena seeds) was the primary focus of this study. As prepared catalyst has been utilized for dye degradation of Rose Bengal and studies on Antibacterial and Antioxidants. The catalyst was characterized for its structural aspects by using Scanning electron microscopy - energy dispersive spectroscopy (SEM-EDS), Powder X-ray Diffraction (PXRD), Fourier Transform - InfraRed spectroscopy (FT-IR), Thermogravimetric Analysis (TGA), Brunauer-Emmett-Teller (BET) and UV–Visible DRS. The characterization results of XRD shows that the catalyst is in monoclinic phase. Copper Oxide is irregular in morphology and the average particle size is 47.97 nm which can be obtained using the SEM images and EDS spectra shows the Oxygen and Copper atoms presence which indicates the free from impurities of the fabricated biogenic CuO nanoparticles. FT-IR result indicated the stretching frequency of Cu–O appears at 487 cm−1. TGA data reveal that high-purity and thermally stable nanoparticles were fabricated, by the absence of significant weight losses at temperatures greater than 400 °C. Through UV–Visible DRS the calculate band gap was found to be 2.8eV. Based on the characterisation results the best catalyst was used to degrade the Rose Bengal dye within 60 min and also carried out the antibacterial and antioxidant activity which was found to be satisfactory when compared with their standard values.

Costus igneus has been practiced to alleviate a range of human ailments and the substantial vision was to explore potential bio-active compounds of Costus igneus to better comprehend the underlying mechanism in the management of diabetes. In-silico approach using AutoDock and Desmond, the anti-diabetic efficacy of discovered phytochemicals was evaluated. The best-docked were chosen for simulation studies. The molecular dynamic modelling showed that the complexes of ligands with receptors were stable during a time of 100 ns, which further confirmed and enhanced their significant binding affinity. According to docking scores and simulation studies, these phytocompounds could be targeted to garner efficient preventive medications for diabetes from a biological source using contemporary technology, and further in vivo and in vitro research of these compounds may be encouraged in the search for a potent treatment for the disease.

The transition towards hydrogen energy is paramount due to its potential to mitigate environmental pollution caused by fossil fuels. The greener and cleaner way of producing and utilizing hydrogen is through water electrolysis and hydrogen fuel cell where the sluggish reaction kinetics bottlenecks the widescale implementation. Hence, in this study, density functional theory (DFT) is utilized to study the HER, OER and ORR performance of pristine and doped silicene sheets where the dopants (B, C, N, Al and P) are introduced as single atom. The thermodynamical stability for pristine and doped sheets are confirmed with ADMP study and the cohesive energy for all the sheets are found to be around -4.2 eV per atom which validates their stability. The hydrogen evolution reaction (HER) performance of all the sheets is studied and the N doped silicene exhibits better catalytic property with a lowest overpotential of 70 mV and the C doped silicene shown good HER performance with an overpotential of 180 mV. In case of oxygen evolution reaction (OER) and oxygen reduction reaction (ORR), the pristine silicene is found to behave better in the ORR performance while the C doped silicene has the lowest overpotential compared with the other sheets. The variation in the catalytic performance is studied with the reactivity parameters which implies that the nucleophilic nature of the material enhances the HER performance. Furthermore, the results suggest that C doped silicene can be utilized as a bifunctional catalyst for the HER and OER performance. This study suggests that the silicene in the pure form as well as with dopant can be a good electrocatalyst for the water splitting and fuel cell application.

Background: Induction of labor (IOL) is an increasingly common intervention, but experiences and preferences of induction methods are under-researched particularly in low -and middle-income countries. Understanding these perspectives is important to improve the childbirth experience. Objective: To explore the experiences and preferences of IOL methods for women, clinicians, and researchers in the “Misoprostol or Oxytocin for Labour Induction” (MOLI) study. Study Design: This qualitative study was based in two government hospitals in the city of Nagpur, India—one tertiary referral hospital and one women's hospital. Fifty-three semi-structured interviews with women before and after induction (between days 1 and 5 postnatal), with women recruited to the “Misoprostol or Oxytocin for Labour Induction (MOLI)” randomized controlled trial (NCT03749902). Eight focus group discussions with doctors, nurses, and trial research assistants before and during trial delivery were conducted. Thematic analysis was conducted using the Framework approach. Results: Four themes emerged: (1) IOL methods, (2) impact of the study, (3) IOL and childbirth as one small part of the wider experiences in life, and (4) key moments in the childbirth experience. For women, the safety of their baby was more important than any IOL method. Clinicians had apprehensions over misoprostol use which could affect protocol implementation; they reported that changing perception is difficult as usual practice feels “comfortable.” Women wanted to share their experiences and reported key moments during childbirth including vaginal examinations, “trying for normal,” bearing the pain, waiting, and relationships with staff. Conclusion: Women did not have a strong preference for the IOL method and viewed childbirth positively when maternal and neonatal outcomes were good. Labor pain, vaginal examinations, a normal birth, and interactions with staff impacted women's experiences.

In many areas of human life, including food, health, culture, and religion, mushrooms have had a significant impact. Most people eat mushrooms for their flavor and texture. Recently, they have gained popularity as a protein source and a drug research tool. According to the phyla Ascomycota and Basidiomycota, mushrooms are fungi that produce spongy fruiting bodies, particularly those that possess a stalk and an envelope top. Mushrooms are composed of 90% water and 10% dry material. Additionally, it has a physicochemical composition that is important for nutrition. Edible mushrooms have been shown to offer therapeutic benefits, including anti-cancer, cardiovascular, hepatoprotective, neuroprotective, hypolipidemic, antiviral, antibacterial, and anti-diabetic actions. Mushrooms are a fantastic source of nourishment since they are rich in proteins, minerals, complex sugars, unsaturated fatty acids, and secondary metabolites. The composition and nutritional benefits of edible mushrooms have been carefully investigated in this review. Edible mushrooms have been used as potential therapeutic stand-ins, and bioactive components present in edible mushrooms, such as polyphenolic compounds and antioxidant activity, have also been studied. This review article may also help scientists, researchers, and medical professionals slow the advancement of some lifestyle diseases, neurological disorders, along autoimmune disorders.

Let $ d_u $ be the degree of a vertex $ u $ of a graph $ G $. The atom-bond sum-connectivity (ABS) index of a graph $ G $ is the sum of the numbers $ (1-2(d_v+d_w)^{-1})^{1/2} $ over all edges $ vw $ of $ G $. This paper gives the characterization of the graph possessing the minimum ABS index in the class of all trees of a fixed number of pendent vertices; the star is the unique extremal graph in the mentioned class of graphs. The problem of determining graphs possessing the minimum ABS index in the class of all trees with $ n $ vertices and $ p $ pendent vertices is also addressed; such extremal trees have the maximum degree $ 3 $ when $ n\ge 3p-2\ge7 $, and the balanced double star is the unique such extremal tree for the case $ p = n-2 $.

Three homologous series of 3‑hydroxy-4-(((-4-benzoxazol-2-yl)phenyl)imino)methyl)phenyl-4-alkoxybenzoate (with ester linkage) and 5-(alkoxy)-2-(((4-(5-benzoxazol-2-yl)phenyl)imino)methylphenol (without ester linkage) Schiff based derivatives, bearing different substituents at 5 position i.e., 5-methylbenzoxazole, benzoxazole and 5-chlorobenzoxazole units at the end of the molecule and their Copper complexes were synthesised. The molecular structure of all the compounds were elucidated by different spectroscopic techniques such as FT-IR, 1H & 13C NMR and mass spectrometry together with elemental analysis. Their phase transition behaviour was investigated by differential scanning calorimetry, polarizing optical microscopy and X-ray diffraction. The structure-property relationships, compounds bearing a variety of polar substituents and changing the spacer from ester linked to without ester-linked has been studied. Substituents with stronger electron-withdrawing properties gave a wider mesomorphic temperature domain, in the order Cl > CH3 >H.

Marburg virus (MARV), a member of Filoviridae family, is notorious for causing Marburg virus disease (MVD), one of the deadliest known infectious diseases. Over the past five decades, more than 15 MVD outbreaks have been reported in the African countries, and this has been reported from Equatorial Guinea on February 2023. Few bat species like Rousettus aegyptiacus and Hipposideros caffer, among other members of the Chiroptera order, may serve as a natural reservoir for the virus, which can transmit the disease to humans and other mammals. In humans, severe infections have been reported due to MVD and are characterized by clinical symptoms such as abdominal pain, nausea, vomiting, pharyngitis, and diarrhea, eventually progressing to hemorrhagic manifestations. The disease carries an extremely high mortality and morbidity rate. Developing and implementing rapid, accurate, affordable, and efficient diagnostic and therapeutic measures is essential to address the substantial threat MARV poses. Increased focus on health education, enhancement of laboratory services and facilities, adherence to patient safety protocols, and robust surveillance systems are urgently needed to combat this fatal disease. This review aims to present a comprehensive summary of the various attributes and characteristics of MARV/MVD, along with strategies for its prevention and control. Further, this review article also discusses the potential role of medicinal plants in addressing health challenge.

Malaysia is the second largest producer and exporter of palm oil. Though several works have explored achieving emissions reduction in the palm oil sector, there existing gaps in analysing pathways for achieving net-zero emissions. Moreover, there are limited studies that evaluate the potential of palm oil biomass utilisation pathways based on emissions reduction capabilities, the cost of emissions reduction, and the technology readiness for implementation. Therefore, this study analysed decarbonisation pathways for the upstream and midstream segments of the palm oil sector in Malaysia, encompassing oil palm plantations and palm oil mills. Various sources of greenhouse gas emissions in oil palm plantations and palm oil mills were identified and estimates of emissions were determined as theoretical emissions. The current emissions were established based on the current best practice in the plantation and mill. Several biomass conversion technologies for the recovery of palm-based by-products and conversion into value-added products to decarbonise the palm oil sector and evaluated strategies to attain net-zero status are considered. In this work, the analysis considered both the existing technologies that are adopted by plantations and mills as well as the emerging technologies that have scope for implementation. With the proposed approach, the current emissions level for crude palm oil (CPO) production in Malaysia is estimated as 1121.49 kg CO2-eq/t CPO. In current industry practice, empty fruit bunch (EFB) is underutilised as mills are typically located at rural areas with lack of suitable transportation. Besides, the lack of accessibility to the grid also limits the potential of converting EFB into electricity as supply for national grid. This work examined various pathways for EFB utilisation under different scenarios evaluating their contribution potential towards net-zero target in an energy self-sustained CPO production. As shown in the results, converting EFB to briquettes and pellets are able to achieve the net-zero objective. Furthermore, EFB-biochar and EFB-syngas pathways also exhibit the potential to accomplish the net-zero target. Note that this work also assessed the technologies’ readiness levels, identified challenges in implementation, and proposed several recommendations.

Aim: Arthritis is a degenerative condition characterized by the progressive deterioration of the knee joint, leading to aches, rigidity, and decreased mobility. Total knee arthroplasty (TKA) surgery is performed to alleviate pain for restoring activity in these patients. TKA is carried out due to natural wear of the cartilage and meniscus or by sudden impact at the knee joint area. The surgical procedure involves careful planning, precise bone cuts, and insertion of artificial components made of metal alloys and high-density polyethylene. However, conventional manufacturing of customized knee implants involves time and cost. This work aims to present the application of three-dimensional (3D) printing for developing individualized knee implants for TKA and the challenges faced during it. Methods: Morphometry of the knee joint varies among different populations, including Indian and Western, which pose challenges during the surgery as accurate alignment and implant sizing are crucial for optimal outcomes. A female patient’s pre-surgery computed tomography (CT) scan is considered to identify the disease and to find region of interest (ROI) such as knee joint. Process involves converting scanned data to a file format for 3D printing via computer-aided design (CAD). Results: The patient’s CT scan data is processed to obtain the CAD models of knee joint and standard triangulation language (STL) file. Additional geometries and noise present near the region are removed to get ROI. Open loops and overlapping triangles are rectified in the STL file. Based on the morphometry of the bone, resection is done to obtain the CAD models of knee implants. 3D printing of the knee joint and implant prototypes is then obtained using fused deposition modelling (FDM). Line layers on the printed implant prototype are seen. Conclusions: Patient-specific 3D printed knee joint implant prototypes are successfully obtained using FDM. Challenges faced during the work are successfully worked out.

Abstract Introduction Febrile illnesses (FI) represent a typical spectrum of diseases in low-resource settings, either in isolation or with other common symptoms. They contribute substantially to morbidity and mortality in India. The primary objective was to study the burden of FI based on Integrated Disease Surveillance Programme (IDSP) data in Punjab, analyze geospatial and temporal trends and patterns, and identify the potential hotspots for effective intervention. Methods A retrospective ecological study used the district-level IDSP reports between 2012 and 2019. Diseases responsible for FI on a large scale, like Dengue, Chikungunya, Malaria (Plasmodium Falciparum, P. Vivax), Enteric fever, and Pyrexia of Unknown Origin (PUO), were included in the analysis. The digital map of Punjab was obtained from GitHub. Spatial autocorrelation and cluster analysis were done using Moran’s I and Getis-Ord G* to determine hotspots of FI using the incidence and crude disease numbers reported under IDSP. Further, negative binomial regression was used to determine the association between Spatio-temporal and population variables per the census 2011. Stable hotspots were depicted using heat maps generated from district-wise yearly data. Results PUO was the highest reported FI. We observed a rising trend in the incidence of Dengue, Chikungunya, and Enteric fever, which depicted occasional spikes during the study period. FI expressed significant inter-district variations and clustering during the start of the study period, with more dispersion in the latter part of the study period. P.Vivax malaria depicted stable hotspots in southern districts of Punjab. In contrast, P. Falciparum malaria, Chikungunya, and PUO expressed no spatial patterns. Enteric Fever incidence was high in central and northeastern districts but depicted no stable spatial patterns. Certain districts were common incidence hotspots for multiple diseases. The number of cases in each district has shown over-dispersion for each disease and has little dependence on population, gender, or residence as per regression analysis. Conclusions The study demonstrates that information obtained through IDSP can describe the spatial epidemiology of FI at crude spatial scales and drive concerted efforts against FI by identifying actionable points.

Abstract Dengue is one of the fairly prevalent viral infections at the world level transmitted through mosquitoes (Aedes aegypti and Aedes albopictus). Due to various environmental factors, dengue cases surged rapidly at the global level in recent decades, with 193245 cases in 2021 and an increment of 110473 cases in 2022. There is no antidote available against dengue and other flaviviruses. In the absence of a dengue vaccine or specific antiviral, medicinal plants or their products can be the only choice for its effective management. Ocimum sanctum is known as ‘‘The Incomparable One,’’ ‘‘Mother Medicine of Nature’’ and ‘‘Queen of Herbs’’ in Ayurveda, and is considered an "elixir of life" supreme in both healthcare and spiritual terms. In present study eugenol was isolated in O.sanctum. Eugenol (1-hydroxy-2-methoxy-4-allylbenzene) has been substantially responsible for its therapeutic potential. High-performance thin-layer chromatography, Fourier transform infrared spectroscopy and ultraviolet–visible spectroscopy were applied to identify the compound. The Rf value of isolated compound was same in the chromatogram (0.69 + 0.05) with compare to standard. The safe dose of plant and eugenol were found as

Abstract The rising risk of diabetes, particularly in emerging countries, highlights the importance of early detection. Manual prediction can be a challenging task, leading to the need for automatic approaches. The major challenge with biomedical datasets is data scarcity. Biomedical data is often difficult to obtain in large quantities, which can limit the ability to train deep learning models effectively. Biomedical data can be noisy and inconsistent, which can make it difficult to train accurate models. To overcome the above-mentioned challenges, this work presents a new framework for data modeling that is based on correlation measures between features and can be used to process data effectively for predicting diabetes. The standard, publicly available Pima Indians Medical Diabetes (PIMA) dataset is utilized to verify the effectiveness of the proposed techniques. Experiments using the PIMA dataset showed that the proposed data modeling method improved the accuracy of machine learning models by an average of 9%, with deep convolutional neural network models achieving an accuracy of 96.13%. Overall, this study demonstrates the effectiveness of the proposed strategy in the early and reliable prediction of diabetes.

Iron is often accumulated in the liver during pathological conditions such as cirrhosis and cancer. Elevated expression of glucose transporters GLUT1 and GLUT3 is associated with reduced overall survival in patients with hepatocellular carcinoma. However, it is not known whether iron can regulate glucose transporters and contribute to tumor proliferation. In the present study, we found that treatment of human liver cell line HepG2 with ferric ammonium citrate (FAC) resulted in a significant upregulation of GLUT3 mRNA and protein in a dose-dependent manner. Similarly, iron accumulation in mice fed with high dietary iron as well as in mice injected intraperitoneally with iron dextran enhanced the GLUT3 expression drastically in the liver. We demonstrated that iron-induced hepatic GLUT3 upregulation is mediated by the LKB1/AMPK/CREB1 pathway, and this activation was reversed when treated with iron chelator deferiprone. In addition, inhibition of GLUT3 using siRNA prevented iron-mediated increase in the expression of cell cycle markers and cellular hyperproliferation. Furthermore, exogenous sodium beta-hydroxybutyrate treatment prevented iron-mediated hepatic GLUT3 activation both in vitro and in vivo. Together, these results underscore the importance of iron, AMPK, CREB1 and GLUT3 pathways in cell proliferation and highlight the therapeutic potential of sodium beta-hydroxybutyrate in hepatocellular carcinoma with high GLUT3 expression.

One of the major causes of death on the globe is cancer. The fourth most frequent malignancy in women worldwide is cervical cancer. Several cancer patients are remaining incurable due to the emergence of medication resistance, despite notable advances in cancer research over the previous few decades. The importance of natural sources as possible therapeutic candidates may be significant. Anthraquinones are one of the many chemical families of natural products, and they stand out for their wide range of structural variations, notable biological activity, and low toxicity. A natural substance called emodin, an anthraquinone derivative, is present in the roots and rhizomes of several plants. This substance has demonstrated antineoplastic, anti-inflammatory, antiangiogenic, and antiproliferative properties. It is also capable of preventing cancer spread and can reverse cancer cells’ multidrug resistance. Emodin, a broad-spectrum inhibitor of cancer cells, have anticancer properties in many different types of biological pathways. These molecular mechanisms in cancer cells include the suppression of cell growth and proliferation, deterioration of the cell cycle arrest, the start of apoptosis, antimetastasis, and antiangiogenic impact. Therefore, the aim of the present review summarised the antiproliferative and anticarcinogenic qualities of cervical cancer of emodin.

BackgroundVisual acuity plays a pivotal role in a dental professional's daily performance and screening the students' field of vision in their early formative years ensures successful undergraduate programmes.AimsTo compare near and distance visual acuity and stereopsis in first-year and final-year dental students and investigate students' perception of their vision.MethodThis was a cross-sectional study involving 100 KCL first- and final-year dental students who underwent assessment of their vision and completed a self-perception questionnaire. Near visual acuity was assessed using a standardised near vision test chart, distance visual acuity using COMPlog (Clinical Vision Measurement Systems Ltd, London, UK) computerised software and stereopsis using the Frisby Stereotest. Based on the Mann–Whitney test, no statistical differences were found between the first-year and final-year students’ near and distance visual acuity, nor in stereopsis difference at a significance level of α = 0.05. The null hypothesis was accepted.Results84% of first-year students and 94% of final-year students attained the highest binocular near visual acuity score of 0.50M. Distance visual acuity scores showed a median ETDRS (Early Treatment Diabetic Retinopathy Study) Letters score 94 in the first-year group and 95 in the final-year group. 8% of students were found to have correctable refractive errors in distance visual acuity. The majority of students across both year groups were able to discern 20 s arc of the smallest disparity. The final-year students reported worrying about their eyesight significantly more than the first-year students.ConclusionsNo statistically significant differences were found in near and distance visual acuity, and stereopsis, between first-year and final-year dental students. However, 8% of students were identified with undiagnosed, correctable refractive errors. The importance of students' vision in clinical dentistry is highlighted, and regular eye examination is recommended.

Masonry is the oldest building material, yet it is also the least understood due to the non-linear and composite nature of masonry, which consists of brick units, mortar, and unit-mortar contact. In this paper, the response of a two-dimensional masonry wall with a window opening subjected to an in-plane lateral pushover loading is simulated by varying the interface properties of brick such as crushing, elastic, cracking, and shear properties. The simplified micro-modeling technique with the Engineering Masonry model for bricks and linear stiffness properties for the interfaces in the bed and head joints is employed to investigate the geometric nonlinear behavior of the masonry wall. The pushover curves obtained from the numerical simulations indicate that there is a significant influence on the lateral load response of the wall due to elastic, crushing, and shear parameters while the cracking parameters have less impact on the ductile capacity of the structure. Moreover, the study is also extended to examine the effect of bond patterns such as English, Stretcher, Flemish, and Header bond with varied aspect ratios of 1,1.5 and 0.75. In all four bond patterns, it was observed that the walls with lower aspect ratios exhibited higher strength. Further, in comparison to the other bond patterns, walls with the Flemish bond pattern demonstrated higher strengths at both lower and higher aspect ratios.

Background: Effective communication between doctor-patient is essential to provide high-quality health care. The introduction of communication skills is a promising step at an undergraduate level by National Medical Commission (NMC) that improve students’ attitude towards patient care. Objectives: The study objective was to assess the student’s attitude and their perception towards learning communication skills. Methods: A total of 122 students participated in the study who were pursuing second-year MBBS in a Medical college located in Telangana State. A Questionnaire related to attitude towards Communication Pharmacology (Communication Skills Attitude Scale), their interest in the topic of choice and reason for their interest in communication pharmacology was given. Using the Likert scale, scores were given ranging from 13 to 65 and the median values of responses were taken for positive and negative attitudes. Results: The study results showed that the median value of positive response for girls was 56 and for boys was 52 whereas for a negative response was 25 and 27 respectively. There was no significant (p>0.05) difference was observed in the tested groups. The majority of the students opted for empathy-related communication skills as their interest (30.33%) and opined that it will help to build future communication skills (31.33%). Conclusion: It was concluded that students have a more positive attitude towards communication pharmacology and girls have shown more interest in these types of skills.

Labor trafficking in marijuana production remains a concealed epidemic within the expanding cannabis industry. This abstract brings attention to the systemic exploitation of vulnerable individuals engaged in cultivating, harvesting, and processing cannabis. It explores the factors contributing to labor trafficking, including demand for cheap labor, inadequate regulation, and the vulnerability of the workforce. By compiling published cases, both in peer-reviewed literature and the media, this perspective piece investigates the extent of health issues experienced by labor-trafficked victims. These include chronic pain from repetitive tasks, respiratory problems due to exposure to pesticides and other toxic substances, musculoskeletal injuries, malnutrition, and mental health disorders stemming from trauma and extreme stress. Additionally, this perspective article examines the factors contributing to poor health outcomes of labor-trafficked victims, including hazardous working conditions, lack of access to healthcare, and physical and psychological abuse. Addressing the health challenges faced by labor-trafficked victims in the cannabis industry requires multidimensional solutions: awareness among healthcare providers, comprehensive medical services, and mental health support. Furthermore, collaborative efforts among government agencies, healthcare providers, labor organizations, and the cannabis industry are essential in preventing trafficking and addressing the health disparities faced by labor-trafficked victims.

Introduction: A boy with chronic intestinal dysmotility and severe abdominal distention developed complete intestinal obstruction by age three. We present a unique case of acquired Type IIIa colonic atresia, likely as a progressive sequela from necrotizing enterocolitis (NEC). Case presentation: Born with suspected prune belly syndrome (PBS) and severe ileus, he was treated for NEC at one month of age. Prior to age three, he was hospitalized over 20 times for abdominal distention, vomiting and electrolyte derangements and treated with rehydration and stomach decompression. He passed stool infrequently and tolerated small amounts of formula by mouth for months at a time. A dysmotility workup at 23 months showed gastroparesis with abnormal antroduodenal motility and normal anorectal motility. Imaging at birth showed dilated bowel without obstruction. Radiographic imaging showed progression from ileus to stricture to obstruction over a 3-year period. At age three, exploratory laparotomy revealed Type IIIa colonic atresia in the transverse colon with complete mesenteric separation. The massive right colon was resected, and a diverting ileostomy created. He continues to have oral aversion, gastroparesis, and malabsorption due to pseudo-obstruction. Conclusion: The absence of a distal microcolon and the patent bowel on imaging done early in life, are compatible with acquired, instead of congenital, Type IIIa colonic atresia. Previously reported cases of acquired colonic atresia associated with NEC have been type I and found in infancy. An acquired colonic atresia with complete mesenteric separation is highly unusual. This is the first report of such a finding in a three-year-old child.

To achieve carbon neutrality by 2050, Malaysian government has identified green hydrogen (H2) as one of the potential energy sources. However, the high production cost of green H2 and technical complications of H2 storage conditions for distribution undermines the strategic framework of the H2 roadmap in Malaysia. The lack of investments in pre-requisite support infrastructure for the H2 production, conversion, and storage technologies impedes the progress of the H2 economy in Malaysia. Recently, ammonia (NH3) has emerged as a promising carbon-free energy carrier due to its increased ease and safety during transportation and storage. There is limited literature regarding the inclusion of an NH3 synthesis and storage loop in green H2 supply chains. This research proposes a systematic approach for the techno-economic evaluation of green H2 supply chains with green NH3 as a clean energy carrier of H2 storage and distribution. A superstructure-based mathematical optimisation model was developed to synthesise the optimum supply chain network configuration for a given optimisation objective. A case study is solved to illustrate the proposed model.

Electricity generation using fossil fuels generates a large carbon emissions footprint. Qatar and Malaysia both have a fossil-based electricity sector. While the world is adopting stricter carbon emission targets, both countries are challenged to reduce their emissions. Options to reduce emissions include but are not limited to Carbon Capture, Utilization, and Sequestration (CCUS) and energy transition to renewable energy sources. These options vary in cost, applicability, and scale. Qatar and Malaysia are completely different in terms of economy, population, topography, natural resources, local energy demand, and emission profiles. This will require a unique strategy to reduce emissions that considers the costs, challenges, and opportunities for mitigation for each country. The current methods for strategic planning cannot account for many possible emission reduction options, cost objectives, or the individual characteristics of each emission profile and do not account for the complexity of the solutions, such as secondary emissions. To address these limitations, this work deploys an algebraic targeting technique that yields minimum marginal abatement cost (Mini-MAC) curves to represent the low-cost carbon reduction technologies available for both countries. This study focuses on the electricity sector of the state of Sarawak in Malaysia and Qatar. Due to the high cost of coal power existing in Sarawak and the availability of cheaper renewable energy, 99.84 % CO2 could be achieved at a net profit of 13.46 USD/tCO2. Achieving 93.5 % of CO2 reduction from the natural gas-based grid in Qatar requires the implementation of a mix between CCUS and renewable energy at a net cost of 40 USD/tCO2.

Introduction: Tuberculous meningitis remains the most severe and devastating form of tuberculosis with relatively severe morbidity and mortality. Risk factors for TB meningitis have not focused on the role of the BCG vaccine or social and food insecurity which are known to have a role in pulmonary TB. Methods: We prospectively conducted a Case-Control study among 65 patients with TB meningitis and 41 controls with other forms of meningitis. We evaluated the role of the BCG vaccine, the Household Food Insecurity Access Scale (HFIAS) and the Social Readjustment Rating Scale (SRRS) to look for food and social stress respectively. We also evaluated the known risk factors for TB meningitis including age, HIV co-infection, alcoholism, malignancies, use of immunosuppression, head injury among others. A bivariate followed by multivariate regression analysis was performed. Results: The presence of BCG scar was seen in 64.6 percent of patients with Tuberculous meningitis and 61.0 percent of control (P= 0.71). There was no difference in the size of the scars (P= 0.45) . Household food insecurity using the Household Food Insecurity Access Scale (HFIAS) ( a positive answer in any of the 9 items) was present in 16.9% of the patients in the TBM group and in 14.6% of the patients in the control group. (P= 0.75). Social stress assessed using the Social Readjustment Rating Score (< 150 suggest no social stress, 150 – 300 moderate social stress,> 300 high social stress) showed that a majority of the patients in both the groups reports no social stress. Only 9.8% of patients in the TBM group and 18.5% in the control group reports moderate presence of social stress whereas none of the patients had severe social stress. Logistic regression analysis suggested that only higher BMI was associated with lesser incidence of Tuberculous meningitis, odds ratio 0.83 (95% confidence interval of 0.73 – 0.930) and individuals performing clerical and unskilled and under-skilled jobs- odds ratio 0.13 (95% confidence interval of 0.02 – 0.93) had lower risk for TB Meningitis. Conclusions: In our sample of TB meningitis patients the BCG vaccine, food insecurity nor social stress appear to be risk factors. Bigger BMI and certain occupations appear to be possibly protective.

Abstract Symptoms-based detection of SARS-CoV-2 infection is not a substitute for precise diagnostic tests but can provide insight into the likely level of infection in a given population. This study uses symptoms data collected in the Global COVID-19 Trends and Impact Surveys (UMD Global CTIS), and data on variants sequencing from GISAID. This work, conducted in January of 2022 during the emergence of the Omicron variant (subvariant BA.1), aims to improve the quality of infection detection from the available symptoms and to use the resulting estimates of infection levels to assess the changes in vaccine efficacy during a change of dominant variant; from the Delta dominant to the Omicron dominant period. Our approach produced a new symptoms-based classifier, Random Forest, that was compared to a ground-truth subset of cases with known diagnostic test status. This classifier was compared with other competing classifiers and shown to exhibit an increased performance with respect to the ground-truth data. Using the Random Forest classifier, and knowing the vaccination status of the subjects, we then proceeded to analyse the evolution of vaccine efficacy towards infection during different periods, geographies and dominant variants. In South Africa, where the first significant wave of Omicron occurred, a significant reduction of vaccine efficacy is observed from August-September 2021 to December 2021. For instance, the efficacy drops from 0.81 to 0.30 for those vaccinated with 2 doses (of Pfizer/BioNTech), and from 0.51 to 0.09 for those vaccinated with one dose (of Pfizer/BioNTech or Johnson & Johnson). We also extended the study to other countries in which Omicron has been detected, comparing the situation in October 2021 (before Omicron) with that of December 2021. While the reduction measured is smaller than in South Africa, we still found, for instance, an average drop in vaccine efficacy from 0.53 to 0.45 among those vaccinated with two doses. Moreover, we found a significant negative (Pearson) correlation of around − 0.6 between the measured prevalence of Omicron in several countries and the vaccine efficacy in those same countries. This prediction, in January of 2022, of the decreased vaccine efficacy towards Omicron is in line with the subsequent increase of Omicron infections in the first half of 2022.

Abstract Parkinson’s disease (PD) treatments modify disease symptoms but have not been shown to slow progression, characterized by gradual and varied motor and non-motor changes overtime. Variation in PD progression hampers clinical research, resulting in long and expensive clinical trials prone to failure. Development of models for short-term PD progression prediction could be useful for shortening the time required to detect disease-modifying drug effects in clinical studies. PD progressors were defined by an increase in MDS-UPDRS scores at 12-, 24-, and 36-months post-baseline. Using only baseline features, PD progression was separately predicted across all timepoints and MDS-UPDRS subparts in independent, optimized, XGBoost models. These predictions plus baseline features were combined into a meta-predictor for 12-month MDS UPDRS Total progression. Data from the Parkinson’s Progression Markers Initiative (PPMI) were used for training with independent testing on the Parkinson’s Disease Biomarkers Program (PDBP) cohort. 12-month PD total progression was predicted with an F-measure 0.77, ROC AUC of 0.77, and PR AUC of 0.76 when tested on a hold-out PPMI set. When tested on PDBP we achieve a F-measure 0.75, ROC AUC of 0.74, and PR AUC of 0.73. Exclusion of genetic predictors led to the greatest loss in predictive accuracy; ROC AUC of 0.66, PR AUC of 0.66–0.68 for both PPMI and PDBP testing. Short-term PD progression can be predicted with a combination of survey-based, neuroimaging, physician examination, and genetic predictors. Dissection of the interplay between genetic risk, motor symptoms, non-motor symptoms, and longer-term expected rates of progression enable generalizable predictions.

Devices referred to as FACTS are utilized extensively in the process of making power system more secure. The UPFC, which contains both shunt and series correction, is one of the FACTS devices that is considered to be among the most successful. The placement of the FACTS device and the values that are selected for its parameters both have a role in determining how successful the device is in reducing security risks. In this study, the ACO approach is presented as a means of optimally positioning UPFC in order to improve the consistency of the power system in the occurrence of single contingencies, also known as an N-1 contingency. In order to guarantee the integrity of the system, the simulation is run on test systems based on the IEEE 6 bus and the IEEE 14 bus, taking into account line overloads and voltage destructions on the bus. This strategy has a two-pronged approach. In the beginning, a N-1 contingency test is carried out based on the severity ranking, and after that, an ACO algorithm is used to install UPFC in the ideal location in order to reduce the severity. In order to further verify the suggested method, the results are matched with the traditional NLP-IP method. This comparison reveals that the new strategy is better in terms of assuring the safety of power systems.

Background: This first in human study was designed as an open label clinical trial to assess safety and tolerability of Serum Institute of India Pvt. Ltd. (SIIPL) quadrivalent HPV (qHPV) vaccine. Methods: A total of 48 healthy male and female (24 each) adult volunteers were administered a 0.5 ml single dose of SIIPL qHPV vaccine intramuscularly, and were followed for one month for safety outcomes viz., immediate, solicited, unsolicited and serious adverse events. Results: 47 subjects completed the study in compliance with protocol. One subject had pain immediately after immunization which was recovered without treatment. None of the participants experienced any other local or systemic solicited AEs and serious AE. Conclusion: qHPV vaccine manufactured by SIIPL was found to be safe and well tolerable in adults. Further clinical development should continue to assess safety and immunogenicity, in the target population following recommended 2 and 3-dose schedule.Clinical Trial Registration – CTRI/2017/02/007785.

During B cell development in bone marrow, large precursor B cells (large Pre-B cells) proliferate rapidly, exit the cell cycle, and differentiate into non-proliferative (quiescent) small Pre-B cells. Dysregulation of this process may result in the failure to produce functional B cells and pose a risk of leukemic transformation. Here, we report that AT rich interacting domain 5B (ARID5B), a B cell acute lymphoblastic leukemia (B-ALL) risk gene, regulates B cell development at the Pre-B stage. In both mice and humans, we observed a significant upregulation of ARID5B expression that initiates at the Pre-B stage and is maintained throughout later stages of B cell development. In mice, deletion of Arid5b in vivo and ex vivo exhibited a significant reduction in the proportion of immature B cells but an increase in large and small Pre-B cells. Arid5b inhibition ex vivo also led to an increase in proliferation of both Pre-B cell populations. Metabolic studies in mouse and human bone marrow revealed that fatty acid uptake peaked in proliferative B cells then decreased during non-proliferative stages. We showed that Arid5b ablation enhanced fatty acid uptake and oxidation in Pre-B cells. Furthermore, decreased ARID5B expression was observed in tumor cells from B-ALL patients when compared to B cells from non-leukemic individuals. In B-ALL patients, ARID5B expression below the median was associated with decreased survival particularly in subtypes originating from Pre-B cells. Collectively, our data indicated that Arid5b regulates fatty acid metabolism and proliferation of Pre-B cells in mice, and reduced expression of ARID5B in humans is a risk factor for B cell leukemia.

Relative benefits over traditional manufacturing processes have made fused deposition modeling (FDM)-based 3D printing as prevalent among various fields and sectors. However, the mechanical traits of 3D-printed FDM parts are still a matter of research that primarily depends upon the material used. In addition to acrylonitrile butadiene styrene (ABS) material, another sustainable polymer used in the FDM is polylactic acid (PLA). This study evaluated the compressive strength of 3D-printed PLA specimens consistent with ASTM D695 standard. The test specimens were simulated in ANSYS software to assess the compression strength and deformation of the specimens. Five ASTM specimens were additively manufactured on a Makerbot printer with a 0.3 mm layer resolution, 100% infill rate, 215°C extrusion temperature and standard build speed. The specimens were conditioned in line with ASTM D695 standard. The compressive strengths of the specimens measured on a universal testing machine were correlated with the simulated results. The compressive strength of the specimens was found to be close to the standard strength.

Abstract Direct cell reprogramming represents a promising new myocardial regeneration strategy involving in situ transdifferentiation of cardiac fibroblasts into induced cardiomyocytes. Adult human cells are relatively resistant to reprogramming, however, likely because of epigenetic restraints on reprogramming gene activation. We hypothesized that modulation of the epigenetic regulator gene p63 could improve the efficiency of human cell cardio-differentiation. qRT-PCR analysis demonstrated significantly increased expression of a panel of cardiomyocyte marker genes in neonatal rat and adult rat and human cardiac fibroblasts treated with p63 shRNA (shp63) and the cardio-differentiation factors Hand2/Myocardin (H/M) versus treatment with Gata4, Mef2c and Tbx5 (GMT) with or without shp63 (p

Insect pollinators are vital to the stability of a broad range of both natural and anthropogenic ecosystems and add billions of dollars to the economy each year. Honey bees are perhaps the best studied insect pollinator due to their economic and cultural importance. Of particular interest to researchers are the wide variety of mechanisms honey bees use for thermoregulation, such as fanning cool air currents around the hive and careful selection of insulated nest sites. These behaviors help honey bees remain active through both winter freezes and summer heatwaves, and may allow honey bees to deal with the ongoing climate crisis more readily than other insect species. Surprisingly, little is known about how honey bee colonies manage chronic heat stress. Here we provide a review of honey bee conservation behavior as it pertains to thermoregulation, and then present a novel behavior displayed in honey bees—the alteration of comb arrangement in response to 6 weeks of increased hive temperature. We found that while overall quantities of brood remained stable between treatments, brood were distributed more diffusely throughout heated hives. We also found that heated hives contained significantly less honey and nectar stores than control hives, likely indicating an increase in energy expenditure. Our results support previous findings that temperature gradients play a role in how honey bees arrange their comb contents, and improves our understanding of how honey bees modify their behavior to survive extreme environmental challenges.

In general, the industries utilize more rotating machines and the efficient functioning of these machines is vital for the smooth operation of industrial processes. Further, the detection and identification of motor issues in a timely manner is crucial to prevent unexpected downtime and expensive repairs. In this work, a novel approach is proposed to monitor and assess the condition of motors in real-time by analyzing the environmental parameters using sensors which are capable of measuring temperature and humidity, to gather data about the operating environment of motors in industrial settings. Also, by continuously monitoring these environmental factors, deviations from optimal conditions can be detected, allowing for proactive maintenance actions to be taken. The proposed system consists of a network of temperature and humidity sensors strategically placed in proximity to the motors being monitored. Further, these sensors collect temperature and humidity data at regular intervals and transmit them to an Internet of Things (IoT) cloud platform. Finally, the data are analyzed using a fuzzy logic decision-making algorithm and are compared against predefined threshold values to determine if the motor is operating within acceptable conditions. This work appears to be of high industry relevance since automated notifications or alerts are to be sent to maintenance personnel when abnormal conditions are detected.

The paper estimates the Kolmogorov distance between the distribution of the normalized maximum likelihood estimator of the positive drift parameter in the nonergodic Ornstein-Uhlenbeck process and the standard Cauchy distribution and shows exponential error rate for large time limit.

We develop a new explicit estimator of the mean reversion parameter in the Heston model by using the minimum contrast method. We obtain a bound on the Kolmogorov distance for the distribution of the approximate minimum contrast estimator and the normal distribution for high frequency data.

Alcoholic fatty liver disease (AFLD) is characterized by lipid accumulation and inflammation and can progress to cirrhosis and cancer in the liver. AFLD diagnosis currently relies on histological analysis of liver biopsies. Early detection permits interventions that would prevent progression to cirrhosis or later stages of the disease. Herein, we have conducted the first comprehensive time‐course study of lipids using novel state‐of‐the art lipidomics methods in plasma and liver in the early stages of a mouse model of AFLD, i.e., Lieber‐DeCarli diet model. In ethanol‐treated mice, changes in liver tissue included up‐regulation of triglycerides (TGs) and oxidized TGs and down‐regulation of phosphatidylcholine, lysophosphatidylcholine, and 20‐22‐carbon‐containing lipid‐mediator precursors. An increase in oxidized TGs preceded histological signs of early AFLD, i.e., steatosis, with these changes observed in both the liver and plasma. The major lipid classes dysregulated by ethanol play important roles in hepatic inflammation, steatosis, and oxidative damage. Conclusion: Alcohol consumption alters the liver lipidome before overt histological markers of early AFLD. This introduces the exciting possibility that specific lipids may serve as earlier biomarkers of AFLD than those currently being used.

Purpose: To evaluate the choroidal thickness and choroidal vascularity index (CVI) in various stages of diabetic retinopathy and to assess its significance in diabetic macular edema. Materials and Methods: 166 eyes of 83 patients were evaluated in this study. 116 eyes were with various stages of diabetic retinopathy and 50 eyes were non-diabetic healthy controls. Spectral Domain Optical Coherence Tomography (SD OCT) was done for all patients. The choroidal thickness and the macular thickness at the fovea, 500 μm nasal, temporal, superior and inferior to the fovea were measured manually, and CVI was calculated as the ratio between the total choroidal area and the luminal area using ImageJ software. Results: The mean age of the study group was 55.95 ± 10.57 years and that of the control group was 53.33 ± 11.28 years. The choroidal thickness was significantly decreased in patients with proliferative diabetic retinopathy (p < 0.005). CVI was inversely proportional to the severity of diabetic retinopathy and was statistically significant (p < 0.01 to 0.005). In eyes with DR and macular edema a significant decrease in choroidal thickness (p = 0.019) was observed; however, the decrease in CVI was not significant (p = 0.056). Conclusion: In diabetic retinopathy, the choriodal thickness and CVI decreases as the severity of the retinopathy increases. Choroid plays an important role in disease progression. But in eyes with diabetic retinopathy associated with or without macular edema, there is no significant difference in CVI.

Abstract Bacteria-mediated cancer-targeted therapy is a novel experimental strategy for the treatment of cancers. Bacteria can be engineered to overcome a major challenge of existing therapeutics by differentiating between malignant and healthy tissue. A prerequisite for further development and study of engineered bacteria is a suitable imaging concept which allows bacterial visualization in tissue and monitoring bacterial targeting and proliferation. Optoacoustics (OA) is an evolving technology allowing whole-tumor imaging and thereby direct observation of bacterial colonization in tumor regions. However, bacterial detection using OA is currently hampered by the lack of endogenous contrast or suitable transgene fluorescent labels. Here, we demonstrate improved visualization of cancer-targeting bacteria using OA imaging and E. coli engineered to express tyrosinase, which uses L-tyrosine as the substrate to produce the strong optoacoustic probe melanin in the tumor microenvironment. Tumors of animals injected with tyrosinase-expressing E. coli showed strong melanin signals, allowing to resolve bacterial growth in the tumor over time using multispectral OA tomography (MSOT). MSOT imaging of melanin accumulation in tumors was confirmed by melanin and E. coli staining. Our results demonstrate that using tyrosinase-expressing E. coli enables non-invasive, longitudinal monitoring of bacterial targeting and proliferation in cancer using MSOT.

Abstract Fibroblast reprogramming offers the potential for myocardial regeneration via in situ cell transdifferentiation. We explored a novel strategy leveraging endothelial cell plasticity to enhance reprogramming efficiency. Rat cardiac endothelial cells and fibroblasts were treated with Gata4, Mef2c, and Tbx5 (GMT) to assess the cardio-differentiation potential of these cells. The endothelial cell transdifferentiation factor ETV2 was transiently over-expressed in fibroblasts followed by GMT treatment to assess “trans-endothelial” cardio-differentiation. Endothelial cells treated with GMT generated more cTnT+ cells than did cardiac fibroblasts (13% ± 2% vs 4% ± 0.5%, p