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South Asian immigrants in the United States face an elevated risk of developing type 2 diabetes (T2DM). This phenomenon has been linked to lifestyle factors and social determinants of health (SDOH) such as high-carbohydrate diet, limited physical activity, and stress from assimilation and other life challenges. Unfortunately, barriers stemming from language discordance, low health literacy, and certain cultural practices can hinder effective clinical management of T2DM among South Asian immigrants. In this perspective, we address these sociocultural barriers and propose culturally informed recommendations to improve healthcare delivery for South Asian groups and empower South Asian patients to self-manage T2DM. Our recommendations include (1) considerations and support for SDOH in South Asian communities, (2) culturally tailored healthcare delivery for South Asians, (3) mHealth technologies for T2DM education and self-management; and (4) enhanced epidemiological and South Asian-centric research. [ABSTRACT FROM AUTHOR]

Humidity sensors have gained tremendous attention due to their practical applications in the pharmaceutical industry, food processing, biomedical applications, microelectronics, and meteorology. Herein, a polymer-based multifunctional humidity sensor (PANI-Bi-ZnO) has been fabricated. This study describes a polymer-based capacitive-type humidity sensor that has excellent repeatability, negligible hysteresis (0.5% RH at 60% RH), quick response (8 s) and relaxation times (20 s), high stability (30 days), high sensitivity, and good linearity in a wide humidity detection range of 10–90% RH and has become increasingly significant for applications involving industrial control and environmental monitoring. Moreover, the fabricated sensor possesses a highly reliable/stable output performance that remains constant after multiple test cycles. The current work also provides a cost-effective method to fabricate high-performance humidity sensors. The designed humidity sensor would be an excellent choice for measuring a variety of applications in the field of humidity. [ABSTRACT FROM AUTHOR]

CO2 emissions in Belt and Road Initiative (BRI) countries are precisely influenced by economic determinants, requiring a comprehensive perspective. The BRI can augment its prospects for sustainable development by acknowledging the obstacles it faces and promoting global collaboration. Examining the CO2 emission (CO2e) in BRI countries in response to economic determinants such as financial development (FD), income distribution (ID), foreign direct investment (FDI), economic complexity index (ECI), and economic growth (EG) will determine the study's long-term and short-term impacts. This study introduces a novel concept of CO2es by employing panel data from 1991 to 2020. Thus, the CD, Kao, Pedroni, FMOLS, and pooled mean group–autoregressive distributed lag (PMG-ARDL) tests are utilized to assess cointegration. According to empirical findings, economic determinants (ECI, EG, FDI, and ID) have a statistically significant short-run and long-run impact on CO2e in BRI countries. Policymakers in BRI countries should integrate monetary development, FDI, and CO2es to foster EG, attract FDI, and promote sustainable development through regulatory frameworks. [ABSTRACT FROM AUTHOR]

Cadmium (Cd) contamination poses significant risks to agricultural productivity and human health, particularly through its accumulation in staple crops such as bread wheat (Triticum aestivum L.). This study evaluated Cd accumulation and tolerance among six bread wheat cultivars exposed to six Cd concentrations (0, 2.5, 5, 10, 15, 20, and 25 mg kg−1 soil). Phenotypic assessments and quantitative real-time PCR (qRT-PCR) were conducted to analyze the expression patterns of TaNRAMP and TaZIP genes in various tissues and developmental stages of wheat, which play crucial roles in Cd uptake and transport. Results demonstrated significant variability in Cd accumulation. The Barat cultivar exhibited the lowest accumulation in grain (ranging from 0.21 to 8.8 mg kg−1) and the highest tolerance. In contrast, Kavir and Pishtaz displayed elevated Cd levels in both grain and straw, while Parsi accumulated more Cd in straw at lower concentrations (56.9 mg kg−1 in Cd concentration of 10 mg kg−1 soil). The gene expression analysis revealed that most cultivars showed increased expression of TaNRAMP genes, particularly TaNRAMP2 in Cd concentration of 10 mg kg−1 soil, which facilitates Cd uptake from the soil, and TaZIP genes, such as TaZIP4 and TaZIP7, involved in transporting Cd within the plant. Notably, the expression of TaZIP1 was significantly lower in cultivars with high Cd accumulation, suggesting a potential regulatory mechanism for Cd tolerance. Furthermore, cultivars exhibiting higher Cd levels correlated with increased expression of stress-responsive genes, indicating a broader response to Cd stress. These findings highlight Barat's potential for bread-making applications due to its low Cd accumulation, while Morvarid and Pishtaz which show reduced Cd content in the straw even under high Cd exposure are better suited for animal feed. This research underscores the genetic variability of wheat cultivars in response to Cd stress and provides essential insights into the molecular mechanisms underlying Cd accumulation, offering valuable information for breeding programs aimed at developing Cd-tolerant varieties to ensure food security in contaminated regions. [ABSTRACT FROM AUTHOR]

The supercapacitive properties of the polythiophene (PTh) and its composites with iron dust synthesized by chemical oxidative polymerization are investigated. The UV–Vis, FTIR, TGA, XRD, SEM, and EDX were used to characterize the composites. Iron (Fe) dust is inserted into PTh matrix as confirmed by FTIR, UV–Vis, EDX, and XRD analysis. The TGA shows that composites have higher thermal stability than pure PTh. The SEM reveals highly porous and packed morphology of the composites as compared to pure PTh. Cyclic voltammetry (CV), galvanostatic charge–discharge (GCD), and electrochemical impedance spectroscopy (EIS) show that a 1:1 ratio by mass of PTh and Fe composite displayed greater specific capacitance than pure PTh. The high specific capacitance of the composite material (428.46 F/g at 1 A/g) suggested that the material is suitable for supercapacitor electrode. Cyclic stability is also tested for 1000 cycles at a current density of 1 A/g with excellent retention of 88.89%. [ABSTRACT FROM AUTHOR]

Autonomous driving has sparked an entire revolution in the vehicle sector, offering to increase the safety for road users, productivity, and convenience. However, using autonomous driving vehicles in hostile environments like the Arctic present's challenges because of the bad weather, lack of infrastructure, rough terrain, poor vision, icy and unreliable road surfaces, and inaccessible locations. The paper discuses key technical elements such as sensor systems, data fusion techniques, localization methods, perception algorithms (object detection, scene understanding), decision-making frameworks, and vehicle control mechanisms that are required for autonomous driving in the Arctic. The study focuses on how these innovations could be enhanced and changed to address the specific issues that the Arctic faces. It also highlights on-going academic and business research and development initiatives, showcasing innovations used to overcome difficulties specific to the Arctic. This paper provides great insight for researchers, decision-makers, and professionals interested in incorporating autonomous driving systems under extreme weather conditions. It enables deeper understanding of the difficulties and opportunities specific to the Arctic region, encouraging cooperation and creativity in the search for reliable and effective autonomous mobility solutions. [ABSTRACT FROM AUTHOR]

Background: Many morphological and histological changes take place in aging skin. Topical tretinoin is the gold standard anti-aging agent used to reduce signs of aging through stimulation of epidermal growth and differentiation and inhibition of collagenase. Objective: The aim of this systematic review is to summarize studies evaluating the efficacy of tretinoin compared with other topical medications and cosmeceuticals in reducing the appearance of skin aging. Methods: A systematic review was conducted following the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. The literature search was conducted using the PubMed and Embase databases from conception to December 2023. Studies were included if they compared anti-aging outcomes of topical medications with those of topical tretinoin (also called all-trans retinoic acid and retinoic acid). Studies were excluded if they compared non-topical anti-aging treatments with tretinoin or were conducted on animal models. Results: The literature search resulted in 25 studies that met all inclusion and exclusion criteria. The most common study comparators to tretinoin included other forms of vitamin A. Outcomes were reported on the basis of visual reduction of aging signs, histological assessment of the epidermis and dermis, and protein expression. Although comparators to tretinoin had variable efficacy (greater in 7 studies, equivalent in 13 studies, and less in 3 studies), most studies found the comparator to be less irritating and better tolerated by patients than tretinoin. Discussion: Tretinoin is currently the gold standard therapy for the treatment of photoaging, but its poor tolerability often limits its use. Unfortunately, given that most studies comparing topical therapies with tretinoin are of poor quality and/or demonstrate bias, there is a lack of substantial evidence to support an alternative first-line therapy. However, given there are some data to support the efficacy of retinoid precursors, namely retinaldehyde, pro-retinal nanoparticles, and conjugated alpha-hydroxy acid and retinoid (AHA-ret), these agents can be considered a second-line option for anti-aging treatment in patients who cannot tolerate tretinoin. [ABSTRACT FROM AUTHOR]

Cranial vault thickness (CVT) and its variations provide valuable insights into an individual's biological attributes such as age and sex. This paper aimed to assess the correlations of CVT with age and sex and develop a regression model for age estimation in Malaysian subadults using computed tomography (CT) images. A total of 521 CT images (male/female: 279/242; age range: 0–20 years; Malay/Chinese/Indian: 221/145/155) were included in the study. Correlations of CVT measurements with age and sex, including frontal bone thickness (FBT), occipital bone thickness (OBT), left parietal bone thickness (LPBT), and right parietal bone thickness (RPBT) were assessed and regression formulae were developed for age estimation in subadults. A significant correlation between CVT measurements and age was demonstrated (p < 0.001). Age estimation was most accurate in the younger age group (< 2 years) at frontal and occipital, and accuracy decreases in the older age groups. Additionally, sexual dimorphism was evident in the frontal and parietal bone thickness within the age range of 3–6 years and 16–20 years, respectively. In conclusion, the findings suggested CVT measurements could be used to corroborate other age estimation methods for subadults. [ABSTRACT FROM AUTHOR]

Reducing humans' ecological footprint (ECF) is critical for guaranteeing a sustainable future and sustaining the planet's health for future generations. Consequently, sustainability policies and development aim to minimize ECF and guarantee a sustainable future. This study analyzes the effects of gross domestic product (GDP), financial development, renewable energy, share of global forest area, and technological innovations on the ECF of the Indonesian economy from 1990 to 2020. The Autoregressive Distributed Lag approach is applied to observe the varying levels of influence across variables. The findings show significant short-term links between GDP, income inequality, technological advancements, and ECF, and statistically significant long-term relationships between GDP, share of forest area, and technological innovation. The machine learning approach uses neural networks and regression as its parametric models to analyze the data for prediction. Both models can predict how the parameters interacted with ECF, with neural networks making more accurate predictions. The study reveals that economic growth intensifies ECF, whereas income equality decreases it. Technological advancements and forest expansion benefit the environment by reducing the footprint. These insights can provide policy recommendations to minimize ECF in Indonesia and strengthen the efforts to achieve a sustainable future. [ABSTRACT FROM AUTHOR]

Medical image machines serve as a valuable tool to monitor and diagnose a variety of diseases. However, manual and centralized interpretation are both error-prone and time-consuming due to malicious attacks. Numerous diagnostic algorithms have been developed to improve precision and prevent poisoning attacks by integrating symptoms, test methods, and imaging data. But in today's digital technology world, it is necessary to have a global cloud-based diagnostic artificial intelligence model that is efficient in diagnosis and preventing poisoning attacks and might be used for multiple purposes. We propose the Healthcare Federated Ensemble Internet of Learning Cloud Doctor System (FDEIoL) model, which integrates different Internet of Things (IoT) devices to provide precise and accurate interpretation without poisoning attack problems, thereby facilitating IoT-enabled remote patient monitoring for smart healthcare systems. Furthermore, the FDEIoL system model uses a federated ensemble learning strategy to provide an automatic, up-to-date global prediction model based on input local models from the medical specialist. This assures biomedical security by safeguarding patient data and preserving the integrity of diagnostic processes. The FDEIoL system model utilizes local model feature selection to discriminate between malicious and non-malicious local models, and ensemble strategies use positive and negative samples to optimize the performance of the test dataset, enhancing its capability for remote patient monitoring. The FDEIoL system model achieved an exceptional accuracy rate of 99.24% on the Chest X-ray dataset and 99.0% on the MRI dataset of brain tumors compared to centralized models, demonstrating its ability for precision diagnosis in IoT-enabled healthcare systems. [ABSTRACT FROM AUTHOR]

Background: Pediatric kidney transplantation is unique when compared to adults. They need optimum post-transplant care to achieve longer graft and patient survival. Infections, rejection, recurrence, malignancy, bone problems, hypertension, and surgical complications are the most important challenges that require prevention, early detection, and management. Chronic allograft nephropathy needs different approaches based on its related causes, allograft pathology, graft function, and availability of re-transplantation. Aim/objectives: This national adapted guideline aims to frame evidence-based post-transplant recommendations adopted or adapted from EB source guidelines to optimize post-transplant patient care. Methods: Our guideline is evidence based adapted from four national and international source guidelines with permissions [KDIGO 2020, RA/BTS 2022–2018, EAU 2018] that were appraised with AGREE II instrument tool. We followed the "adapted ADAPTE" CPG formal adaptation methodology that consists of 3 phases and 24 steps and tools. Virtual monthly meetings all through the year 2023 were activated for reviewing and validation of final adaptation of evidence-based guideline draft, considering all comments of external reviewers. This guideline was registered in the practice guideline registration for transparency (PREPARE), number: PREPARE-2023CN364. Results: Recommendation statements in guidelines stand for results in articles. Discussion of important recommendations and the rationale behind selection of adopted statements and tailoring of others to suit our local facilities, expertise, and renal native disease profile was presented in the text with reasons and references. Conclusion: The provided guidelines aim to improve graft and patient outcome through prevention and early management of complications and suggest research areas lacking validated research recommendations. [ABSTRACT FROM AUTHOR]

This study aimed to explore the antioxidant potential of the ethyl acetate extract of Streptomyces coeruleofuscus SCJ strain, along with its inhibitory effects on the triple-negative human breast carcinoma cell line (MDA-MB-468). The ethyl acetate extract's total phenolic and flavonoid contents were quantified, and its antioxidant activity was investigated using DPPH (1,1-Diphenyl-2-picrylhydrazyl), ABTS (2,2'-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid), and FRAP (Ferric Reducing Antioxidant Power) assays. Furthermore, the cytotoxic effect of the organic extract from Streptomyces coeruleofuscus SCJ on MDA-MB-468 cancer cells was assessed via the crystal violet assay. In tandem, a thorough computational investigation was conducted to explore the pharmacokinetic properties of the identified components of the extract, utilizing the SwissADME and pKCSM web servers. Additionally, the molecular interactions between these components and Estrogen Receptor Beta, identified as a potential target, were probed through molecular docking studies. The results revealed that ethyl acetate extract of SCJ strain exhibited remarkable antioxidant activity, with 39.899 ± 1.56% and 35.798 ± 0.082% scavenging activities against DPPH and ABTS, respectively, at 1 mg/mL. The extract also displayed significant ferric reducing power, with a concentration of 1.087 ± 0.026 mg ascorbic acid equivalents per mg of dry extract. Furthermore, a strong positive correlation (p < 0.0001) between the antioxidant activity, the polyphenol and the flavonoid contents. Regarding anticancer activity, the SCJ strain extract demonstrated significant anticancer activity against TNBC MDA-MB-468 cancer cells, with an inhibition percentage of 62.76 ± 0.62%, 62.67 ± 0.93%, and 58.07 ± 4.82% at 25, 50, and 100 µg/mL of the extract, respectively. The HPLC-UV/vis analysis revealed nine phenolic compounds: gallic acid, sinapic acid, p-coumaric acid, cinnamic acid, trans-fereulic acid, syringic acid, chloroqenic acid, ellagic acid, epicatechin. Streptomyces coeruleofuscus SCJ showed promise for drug discovery, exhibiting antioxidant and anticancer effects. [ABSTRACT FROM AUTHOR]

Photonics offers a transformative approach to artificial intelligence (AI) and neuromorphic computing by enabling low-latency, high-speed, and energy-efficient computations. However, conventional photonic tensor cores face significant challenges in constructing large-scale photonic neuromorphic networks. Here, we propose a fully integrated photonic tensor core, consisting of only two thin-film lithium niobate (TFLN) modulators, a III-V laser, and a charge-integration photoreceiver. Despite its simple architecture, it is capable of implementing an entire layer of a neural network with a computational speed of 120 GOPS, while also allowing flexible adjustment of the number of inputs (fan-in) and outputs (fan-out). Our tensor core supports rapid in-situ training with a weight update speed of 60 GHz. Furthermore, it successfully classifies (supervised learning) and clusters (unsupervised learning) 112 × 112-pixel images through in-situ training. To enable in-situ training for clustering AI tasks, we offer a solution for performing multiplications between two negative numbers. The authors showcase a photonic tensor core in TFLN platform that achieves a computational speed of 120 GOPS for neural networks, with capabilities of in-situ training that support exciting prospects of negative number multiplication. The tensor core can efficiently process 112 × 112-pixel images, potentially scaling up AI tasks and offering nanosecond latency without needing a digital processor. [ABSTRACT FROM AUTHOR]

Breast cancer has become the most prevalent malignancy among women, and it is estimated to comprise over 30% of all cancer cases diagnosed in women. This study evaluates the antitumor effects of a green-synthesized Fe3O4/CeO2 nanocomposite, utilizing Artemisia annua L. extract, against breast cancer. The viability assay was carried out using 100 to 1000 µg/mL of the as-prepared nanocomposites. The BALB/c mice were injected with 4T1 breast cancer cells and subsequently treated with 5 mg/kg body weight of the synthesized nanocomposites through intraperitoneal injection for two weeks. The in vitro studies on the cell viability and cytotoxicity of Fe3O4/CeO2 nanocomposites demonstrated superior effectiveness of the green-synthesized sample (AFC) compared to the chemically produced variant (FC) against 4T1 cells. Treatment with AFC significantly reduced tumor size in 4T1-injected BALB/c mice compared to untreated control. The IC50 results for FC (890.16 µg/mL) and AFC (490.21 µg/mL) corroborated these findings. Notably, the biointerface provided by the phytomolecules from A. annua extract played a crucial role in enhancing the cytotoxic effects of the nanocomposite. This research highlights the potential of green-synthesized Fe3O4/CeO2 nanocomposites as a safe and effective nanomedicine for targeting cancer cells while minimizing adverse effects on healthy cells. [ABSTRACT FROM AUTHOR]

Rapid urbanization and inadequate environmental planning have significantly increased pressure on ecosystems, leading to unsustainable urban growth. Understanding the environmental impact of urbanization is crucial for sustainable development, especially in rapidly growing cities like Mashhad, Iran. Emergy Analysis, a method that quantifies the total energy used to support an ecosystem, was applied in this study to assess Mashhad's environmental sustainability using emergy-based indicators. Key sustainability indicators, such as the Emergy Sustainability Index, Environmental Load Ratio, and Emergy Self-Support Ratio, were analyzed using data from 2011, 2016, and 2021. The results reveal that Mashhad's development is currently unsustainable, with heavy dependence on non-renewable resources and increasing environmental pressure. While the Emergy Sustainability Index showed modest improvement, key indicators like the Emergy Yield Ratio and Emergy Density declined, indicating reduced resource efficiency. Additionally, the Environmental Load Ratio increased, reflecting higher environmental stress. Without significant interventions, Mashhad's current development trajectory will remain unsustainable. The study offers practical recommendations, such as reducing urban sprawl, promoting green spaces, and transitioning to renewable energy sources. Educating residents about resource efficiency and sustainable urban planning is critical. These findings provide actionable insights for other developing cities facing similar environmental challenges and serve as a blueprint for sustainable urban development in resource-constrained settings. [ABSTRACT FROM AUTHOR]

All-inorganic perovskite solar cells (AI-PSCs) are emerging as a promising alternative to organic–inorganic hybrid perovskite solar cells (OIH-PSCs), primarily due to their superior stability and enhanced tolerance to higher temperatures. Despite being a relatively recent focus of research within the perovskite solar cell (PSC) domain, AI-PSCs have demonstrated significant potential, notably in terms of efficiency and durability. However, the power conversion efficiency (PCE) of AI-PSCs, while impressive, has yet to surpass that of OIH-PSCs, highlighting a critical area for further improvement. To date, the PCE of AI-PSCs has reached over 21%, with a rapidly growing body of research contributing to this advancement. This review paper comprehensively summarizes the critical aspects influencing AI-PSC performance, including the fundamentals of crystal structure and its impact on stability, device architecture enhancements to boost PCE, and the role of halide composition in optimizing both stability and efficiency. Specifically, we delve into how halide compositions affect the growth and stability of perovskite at both bulk and interface levels, leading to improved charge carrier dynamics. Finally, we discuss the future outlook and potential of AI-PSCs, outlining a clear path towards their commercial viability. [ABSTRACT FROM AUTHOR]

Hyperspectral image (HSI) data has a wide range of valuable spectral information for numerous tasks. HSI data encounters challenges such as small training samples, scarcity, and redundant information. Researchers have introduced various research works to address these challenges. Convolution Neural Network (CNN) has gained significant success in the field of HSI classification. CNN's primary focus is to extract low-level features from HSI data, and it has a limited ability to detect long-range dependencies due to the confined filter size. In contrast, vision transformers exhibit great success in the HSI classification field due to the use of attention mechanisms to learn the long-range dependencies. As mentioned earlier, the primary issue with these models is that they require sufficient labeled training data. To address this challenge, we proposed a spectral-spatial feature extractor group attention transformer that consists of a multiscale feature extractor to extract low-level or shallow features. For high-level semantic feature extraction, we proposed a group attention mechanism. Our proposed model is evaluated using four publicly available HSI datasets, which are Indian Pines, Pavia University, Salinas, and the KSC dataset. Our proposed approach achieved the best classification results in terms of overall accuracy (OA), average accuracy (AA), and Kappa coefficient. As mentioned earlier, the proposed approach utilized only 5%, 1%, 1%, and 10% of the training samples from the publicly available four datasets. [ABSTRACT FROM AUTHOR]

The rapid advancement of artificial intelligence (AI) technologies has led to a transformation in higher education worldwide. AI tools provide academic support to students anywhere and anytime to enhance their knowledge and skills. Those facing difficulties have been relying on traditional support and guidance. However, this support has experienced difficulties, including availability and accessibility. This study examines the potential of AI-powered tools to address these challenges, aiming to make academic support more accessible, efficient, and effective. This study focuses on understanding the determinants of AI tools' acceptance and use for academic support among students, influencing student satisfaction and academic performance in Pakistan and Malaysia. The research on AI tool acceptance and use in the higher education Institutions (HEI) context is still new and less explored in Pakistani and Malaysian higher education institutions. A theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and other factors was employed to identify factors that affect AI tool adoption in higher education. The survey research design was employed, and the total sample size was 305 respondents, with 203 students from Quaid-e-Awam University of Science and Technology (QUEST), Pakistan, and 102 students from Universiti Teknologi Malaysia (UTM). A "Partial least squares structural equation modeling (PLS-SEM) Analysis" was employed to assess the research model and hypotheses using SmartPls 4.0. In Pakistan and Malaysia, students are more concerned about using AI tools to improve their academic performance. The findings indicated that performance and effort expectancy, information accuracy of AI tools, pedagogical fit to meet the student's expectations, and student interaction with tools were important factors in predicting the acceptance and use of AI tools among students of both countries in higher education, and the rising use of these AI tools has improved students' satisfaction levels and significantly impacted students learning outcomes in both countries. Additionally, student engagement and personal innovativeness have not significantly affected the use of AI tools among students in both countries. This study provides a comprehensive analysis of AI tool adoption in the unique contexts of Pakistan and Malaysia, contributing to the broader discourse on technology integration in higher education. [ABSTRACT FROM AUTHOR]

This study evaluates silver-doped carbon dots (AgCDs) as a novel agent for chemical castration using a rat model. Six groups of rats (five males and ten females each, except for the surgical group which had only males) were utilized to compare the effects of different concentrations of AgCDs. The groups included control, sham, and three experimental groups injected with 1.25, 50, and 200 µg/mL AgCDs, respectively, along with a surgical castration group. Testosterone levels, sperm parameters, fertility index, oxidative damage, histopathological parameters, and gene expression of P53, Bax, Bcl-2, caspase-3, AKT, and PI3K were analyzed. Results demonstrated that the high-dose AgCDs group significantly reduced testosterone levels, sperm concentration, and motility, resulting in a decreased fertility index. MDA and NO significantly increased, while CAT, SOD, GPx, and TAC significantly reduced in the chemically castrated groups. Histological and genes expression analysis also revealed apoptosis and testicular damage in the AgCDs groups, indicated by significant increases in P53, Bax, and Caspase-3 levels, and significant reductions in AKT, PI3K, and Bcl-2. Based on these findings, AgCDs could be considered a potent and efficient agent for chemical castration, offering a less invasive, cost-effective solution with potential applications for population control. [ABSTRACT FROM AUTHOR]

Soil temperature (ST) stands as a pivotal parameter in the realm of water resources and irrigation. It serves as a guide for farmers, enabling them to determine optimal planting and fertilization timings. In the backdrop of regions like Iran, where water resources are scarce, a proficient and economical prediction model for ST, particularly at lower depths, becomes imperative. While recent models have demonstrated adeptness in predicting ST, in general, their error decreases with increasing depth, so that they had the lowest error at a depth of 100 cm. Addressing this gap, our study pioneers a novel hybrid model that excels in accurate daily ST prediction as it delves deeper. The models deployed encompass the multilayer perceptron (MLP) and an enhanced version, MLP coupled with the Sperm Swarm Optimization Algorithm (MLP-SSO). These models prognosticate daily ST across varying depths (5–100 cm), leveraging meteorological parameters such as air temperature, relative humidity, wind speed, sunshine hours, and precipitation. These parameters are anchored to the Ahvaz and Sabzevar synoptic stations in Iran, spanned over the period from 1997 to 2022. Evaluation of our research outcomes unveils that the root mean square error (RMSE) witnesses its most substantial reduction at a depth of 100 cm. For instance, at the Ahvaz station, the MLP-SSO model diminishes the RMSE value from 1.25 to 1.12 °C, in contrast to the MLP model. Similarly, at the Sabzevar station, the RMSE value drops from 1.78 to 1.49 °C using the coupled MLP-SSO model. These results robustly highlight the considerable enhancement brought about by the utilization of the MLP-SSO model, clearly surpassing the performance of the standalone MLP model. This emphasizes the potential and promise of the MLP-SSO model for future investigations, offering insights that can significantly advance the domain of soil temperature prediction and its implications for agricultural decision-making. [ABSTRACT FROM AUTHOR]

Background/Objectives: Childhood obesity, particularly in girls, is linked to early puberty onset, heightening risks for adult-onset diseases. Addressing childhood obesity and precocious puberty is vital to mitigate societal burdens. Despite existing costly and invasive medical interventions, introducing lifestyle-based alternatives is essential. Our study investigates alternate-day fasting's (ADF) impact on pubertal development in normal-weight and high-fat diet (HFD)-induced obese female mice. Methods: Four groups of female mice were utilized, with dams initially fed control chow during and before pregnancy. Post-parturition, two groups continued on control chow, while two switched to an HFD. Offspring diets mirrored maternal exposure. One control and one HFD group were subjected to ADF. Morphometry and hormone analyses at various time points were performed. Results: Our findings demonstrate that ADF in normal-weight mice led to reduced body length, weight, uterine, and ovarian weights, accompanied by delayed puberty and lower levels of sex hormones and growth hormone (GH). Remarkably, GH treatment effectively prevented ADF-induced growth reduction but did not prevent delayed puberty. Conversely, an HFD increased body length, induced obesity and precocious puberty, and altered sex hormones and leptin levels, which were counteracted by ADF regimen. Our data indicate ADF's potential in managing childhood obesity and precocious puberty. Conclusions: ADF reduced GH and sex hormone levels, contributing to reduced growth and delayed puberty, respectively. Therefore, parents of normal-weight children should be cautious about prolonged overnight fasting. ADF prevented HFD-induced obesity and precocious puberty, offering an alternative to medical approaches; nevertheless, further studies are needed for translation into clinical practice. [ABSTRACT FROM AUTHOR]

Recently, systems for simultaneously producing electrical and thermal energy have been examined to boost efficiency and use energy resources most. By using the simultaneous production systems of electric and heat energy, achieving a high efficiency of 70% is possible based on the actual rates. Establishing the ideal functioning point of cogeneration systems is challenging due to variations in electrical and thermal loads and electrical energy tariffs at various times of the day and night. The expenses of installing and dismantling the system have not been considered in this field of study, which mostly focuses on systems without thermal energy storage tanks. As a result, in this research, the optimal operating point of a system made up of several independent units with the ability to buy and sell electrical energy was determined using a genetic algorithm based on the consumption of different fuels and the use of a thermal energy storage tank. Optimal design of combined cooling, heating and power generation systems is presented in this paper. The goal of this study is comparison of a new operational strategy for optimization of simultaneous production with conventional system in different seasons including hot, cold and moderate times. The accuracy of the modeling was also done in comparison to other references. Because of the grid's high rate of electrical energy, the modeling results demonstrate that during mild and summer seasons, the cogeneration system can completely satisfy all electrical and thermal demands in 13 to 22 h. For practically all Seasons, the cogeneration system's 24-h total cost is 50% cheaper than the traditional production method. It has also been shown that using an absorption chiller has balanced the electrical-to-thermal load ratio, boosted the cogeneration system's efficiency relative to its pre-absorption chiller condition, and lowered thermal energy loss. Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author 5 Given name: [Fatemeh Razi] Last name [Astaraei]. Yes, author 5 name is "Fatemeh" and last name is "Razi Astaraei". Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author 1 Given name: [specify authors given name] Last name [specify authors last name]. Also, kindly confirm the details in the metadata are correct.Yes. [ABSTRACT FROM AUTHOR]

Diagenetically modified carbonate rocks are more common in the rock record. These modifications, have altered the carbonate rocks significantly. The Middle Jurassic carbonates of the SSF are extensively altered by the diagenetic evolution and several dolomitization process in the Kahi Section, Nizampur Basin. The primary objective of this study is to investigate the diagenetic evolution and multiphase dolomitization through cathodoluminescence petrography and stable isotopic studies. Field investigations show both host limestone (oolitic, fossiliferous and massive) and dolomites. Different types of dolomites were recognized on the basis of color contrast as dark grey color replacive dolomite, light grey dolomite, brownish dolomite and yellowish dolomite. Beside replacive phase voids and fracture filling cementing saddle dolomite, and cementing calcites are also recognized in the field. Petrographic studies show the complex diagenetic history of Samana Suk Formation from near surface diagenesis including micritization, neomorphism and several varities of dolomites. These verities are: RD1 is very fine to fine grained dolomite, RD2 is medium to coarse grained and anhedral to subhedral dolomite, RD3 is coarse to very coarse grained and planner euhedral zoned dolomite, and RD4 is coarse grained euhedral to subhedral ferroan dolomite. In addition, cementing saddle dolomite SD have large crystal, curved faces with sweeping extinction. cementing calcite phases are CC1 is granular mosaic, CC2 is twin, CC3 is fracture filling, and CC4 is ferroan calcite. The stable isotope values of limestone (δ18O: –7.13 to –0.73‰ V-PDB and δ13C: –0.05 to 1.32‰ V-PDB) showing depletion in from the Jurassic marine signature. The multiphase dolomites RD1–RD4, SD values (δ18O: –8.65 to –3.16‰ and δ13C: –3.56 to +2.09‰) indicate multiphase dolomitization. The C1–C3 values (δ18O: –11.07 to –8.97‰ and δ13C: –2.14 to +0.76‰) indicate highly depleted values of δ18O showing its source from the hydrothermal origin. From field, petrography and stable isotopic geochemistry data it is deduced that possible source of the Mg for hydrothermal dolomites is through activation of faults and fractures during active tectonic regime in the area and can be related to activation and reactivation of Kahi Thrust system. [ABSTRACT FROM AUTHOR]

Classic multidimensional scaling (MDS) and scaling by majorizing a complex function (SMACOF) are well-known centralized algorithms that are used to solve MDS problem. In this paper, we present a distributed algorithm for solving MDS problem. Estimations of coordinates are performed concurrently under the assumption that each item knows only its own position and its distances from its neighbors and their approximated present locations. The update process is done by calculating the average of the current coordinate of each object and its projections on the solution spaces allocated to it by its neighbors. We apply the method to the problem of sensor localization and obtain numerical results that demonstrate the efficacy of our suggested strategy. [ABSTRACT FROM AUTHOR]

The preparation of epoxidised natural rubber (ENR) latex-dipped film was successfully carried out. The effects of several parameters, such as sulphur loading, vulcanisation temperature and time, leaching temperature and time, thickness, oil, and chemical resistance, were studied. ENR latex films were successfully prepared by varying the sulphur loading from 0.5 phr to 2.0 phr. Superior tensile properties were observed for the vulcanised temperature at 75 °C with vulcanisation at 30 min. A longer leaching time and higher leaching temperature demonstrated an optimal tensile strength for ENR latex to leach out all undesirable chemicals. The thickness of ENR-dipped film can be varied by selecting an appropriate concentration of latex TSC and coagulant, different dwelling times, and former temperatures. The determination of oil resistances showed that the oil uptake of ENRs in oils was substantially less than that of natural rubber (NR) and was comparable to commercial gloves. Aside from that, ENR demonstrated remarkable chemical resistance to acid and alkaline solutions. [ABSTRACT FROM AUTHOR]

Freshwater scarcity poses challenges to aquaculture worldwide, including countries like Egypt. In this study, we investigate the feasibility of integrating underground saline water (USW) with varying salinities into a Biofloc (BFT) system for desert mariculture of Florida red tilapia (FRT) and its impacts on water quality, fish performance and health. Four BFT treatments (C/N ratio = 15) were examined in triplicate using four salinity levels 0 ppt, 12 ppt, 24 ppt and 36 ppt, expressed as S0, S12, S24 and S36, respectively. For 75 days, a total of 12 fiberglass tanks (each 250 L−1 water) were used to store FRT fry (average weight of 1.73 ± 0.01 g/fish). The fish were fed an experimental diet (protein/fat = 30/5) and an additional carbon source of rice bran. The results revealed that group S12 showed better growth indicators, higher survival rate, lower FCR, and lower ammonia levels, while group S0 exhibited lower growth indicators (final weight, weight gain, and specific growth rate) than all groups. The serum kidney, liver, and antioxidant indices performed better in the S12 group. At 12 ppt, the immune-related parameter (IgM) increased by 22.5%, while the stress parameter (cortisol) decreased by 40.8% compared to the S0 group. The liver and intestinal histopathological results revealed that the S12 and S24 groups performed better. Pathogenic bacterial load counts favored the S24 group, which had the lowest number among the groups studied. The recommended salinity for FRT cultivation in USW and BFT is 19.94-20 ppt, determined by polynomial regression of FW and FCR. [ABSTRACT FROM AUTHOR]

Artificial lighting is essential for supporting human activities during nighttime. Excessive artificial light causes pollution. This type of pollution impairs our ability to see the night sky clearly and results in the wasteful consumption of excessive energy. This research investigates the extent and impact of light pollution in the rapidly urbanizing cities of Rajshahi and Dhaka, employing Geographic Information Systems (GIS) and remote sensing techniques. The primary objectives of this thesis are to assess the extent and intensity of light pollution in the study areas. The authors utilized multi-temporal DMSP/OLS nighttime light satellite imagery spanning the period from 1992 to 2013. Additionally, VIIRS Day/Night Band (DNB) images from 2013 to 2022, accessed through Google Earth Engine, were employed to provide more recent data for analysis. These datasets were processed and analyzed within a GIS framework to delineate the extent of light pollution and its temporal evolution, allowing for the identification of hotspots and trends over the years. The findings of this study reveal the profound impact of urbanization on light pollution, with notable differences between the two cities. Despite the geographically smaller size of the Dhaka district than the Rajshahi district, the total amount of nighttime light is substantially larger in Dhaka. Light pollution, which differs in terms of spatial position, contributes to Dhaka City's rapid urbanization, which includes industrial and commercial activity and is located in the middle of Bangladesh. On the other side, Rajshahi, which is located in northern Bangladesh, has less light pollution than Dhaka because of its relative lack of industrial and commercial activity. [ABSTRACT FROM AUTHOR]

Background: Intravenous thrombolysis (IVT) and/or endovascular therapy (EVT) are currently considered best practices in acute stroke patients. Data regarding the efficacy and safety of reperfusion therapies in patients with atrial fibrillation (AF) are conflicting as regards haemorrhagic transformation, mortality, and functional outcome. This study sought to investigate for any differences, in terms of safety and effectiveness, between AF patients with acute ischaemic stroke (AIS) treated and untreated with reperfusion therapies. Methods: Data from two multicenter cohort studies (RAF and RAF-NOACs) on consecutive patients with AF and AIS were analyzed to compare patients treated and not treated with reperfusion therapies (IVT and/or EVT). Multivariable logistic regression analysis was performed to identify independent predictors for outcome events: 90-day good functional outcome and mortality. A propensity score matching (PSM) analysis compared treated and untreated patients. Results: Overall, 441 (25.4%) were included in the reperfusion-treated group and 1,295 (74.6%) in the untreated group. The multivariable model suggested that reperfusion therapies were significantly associated with good functional outcome. Rates of mortality and disability were higher in patients not treated, especially in the case of higher NIHSS scores. In the PSM comparison, 173/250 patients (69.2%) who had received reperfusion therapies had good functional outcome at 90 days, compared to 146/250 (58.4%) untreated patients (p = 0.009, OR: 1.60, 95% CI:1.11–2.31). Conclusions: Patients with AF and AIS treated with reperfusion therapies had a significantly higher rate of good functional outcome and lower rates of mortality compared to those patients with AF and AIS who had undergone conservative treatment. [ABSTRACT FROM AUTHOR]

The complex q-rung orthopair fuzzy sets are an important way to express uncertain and ambiguous information, and they are superior to the complex fuzzy sets, complex intuitionistic fuzzy sets, complex pythagorean fuzzy sets, and complex fermatean fuzzy sets. This paper extend the notion of q-rung orthopair fuzzy sets to complex q-rung orthopair fuzzy sets. Interaction aggregation operators are often used in various fields to solve multi-attribute decision-making Problems. By utilizing arithmetic and geometric operators, some well-known complex q-rung orthopair fuzzy interaction aggregation operators such as complex q-rung orthopair fuzzy interaction weighted average operator, complex q-rung orthopair fuzzy interaction weighted geometric operator, complex q-rung orthopair fuzzy interaction order weighted operator, complex q-rung orthopair fuzzy interaction order weighted geometric operator, complex q-rung orthopair fuzzy interaction hybrid operator, and complex q-rung orthopair fuzzy interaction hybrid geometric operator have been developed. In addition, some of the unique properties of these newly established operators are investigated. Finally, we explore a decision-making approach to solve multi-attribute decision-making Problem. The viability and flexibility of the suggested technique is explored with the help of a numerical example and the proposed results are compared with several existing approaches. [ABSTRACT FROM AUTHOR]

We investigate the behavior of various measures of quantum coherence and quantum correlation in the spin-1/2 Heisenberg XYZ model with added Dzyaloshinsky-Moriya (DM) and Kaplan–Shekhtman–Entin-Wohlman–Aharony (KSEA) interactions at a thermal regime described by a Gibbs density operator. We aim to understand the restricted hierarchical classification of different quantum resources, where Bell nonlocality ⊆ quantum steering ⊆ quantum entanglement ⊆ quantum discord ⊆ quantum coherence. This hierarchy highlights the increasingly stringent conditions required as we move from quantum coherence to more specific quantum phenomena. In order to enhance quantum coherence, quantum correlation, and fidelity of teleportation, our analysis encompasses the effects of independently provided sinusoidal magnetic field control as well as DM and KSEA interactions on the considered system. The results reveal that enhancing the entanglement or quantum correlation of the channel does not always guarantee successful teleportation or even an improvement in teleportation fidelity. Thus, the relationship between teleportation fidelity and the channel's underlying quantum properties is intricate. Our study provides valuable insights into the complex interplay of quantum coherence and correlation hierarchy, offering potential applications for quantum communication and information processing technologies. [ABSTRACT FROM AUTHOR]

The fuzzy bipolar soft set (FBPSS) introduces a novel approach that surpasses the information capacity of conventional fuzzy soft set. The core aim of FBPSS is to simultaneously incorporate two weight vectors, one for attributes and another for parameters. This dual vector consideration enhances precision for decision-makers. In this research, we leverage the Frank t-norm and t-conorm to introduce a set of aggregation operators within the framework of FBPSS. We thoroughly delve into the essential properties of these aggregation operators. Using these operators as a foundation, we construct a method for multi-criteria group decision-making (MCGDM). To exemplify the efficacy and efficiency of our proposed approach, we provide a practical case study involving the assessment of a renewable energy project. Additionally, we explore the Frank parameters of the decision-making process. To validate our method, we compare its results with those obtained from existing approaches. Lastly, we engage in a comprehensive discussion concerning both the merits and limitations of our proposed approach. [ABSTRACT FROM AUTHOR]

Carbamazepine-saccharin (CBZ-SAC) co-crystal is one of the most studied co-crystals to date. It is proven to be polymorphic, consisting of Form I (plate-like shape) and Form II (needle-like shape), which is rarely reported by researchers. The present study aimed to study the effect of SAC:CBZ ratio on the polymorphic transformation and morphology of CBZ-SAC co-crystals using ice bath fast cooling crystallization. A series of CBZ-SAC co-crystals were produced from different SAC:CBZ mol ratios (1:1, 2:1, 3:1, 4:1, 5:1, 6:1) and were compared in terms of their crystal form and morphology under microscope. The polymorphic changes were also studied from the CBZ-SAC suspension during co-crystallization process. The polymorphs of CBZ-SAC co-crystals were identified using PXRD, DSC, ATR-FTIR. The results showed that at lower ratio (1:1, 2:1, 3:1), only plate-like shaped crystals (Form I) was present. For higher mol ratio (4:1, 5:1, 6:1), mixture of Form I and II of CBZ-SAC co-crystals were observed and further confirmed by DSC and ATR-FTIR. The nucleation process showed that Form II could convert to Form I when varying the SAC:CBZ ratio. Hence, it is proven that SAC:CBZ mol ratio can affect the polymorphic transformation and morphology of CBZ-SAC co-crystals. Nonetheless, other parameters should be used to further study the formation of CBZ-SAC co-crystals since pure CBZ-SAC Form II co-crystals were not obtained in this study. [ABSTRACT FROM AUTHOR]

Dyslipidaemia describes the condition of abnormal lipid levels in a person's bloodstream. Since the 1980s, statin medications have been used to treat dyslipidaemia and other comorbidities, such as stroke risk and atherosclerosis. Statin medications were initially synthesised from fungal metabolites, but many synthetic statin drugs have been manufactured since then. Statin medication is quite effective in reducing total cholesterol levels in the bloodstream, but it has limitations. Due to their poor water solubility, statin drugs possess poor oral bioavailability, which hinders their therapeutic efficacy. Nanoparticle drug delivery technology has been shown to improve the pharmacokinetic profiles of many drug classes, and statins have great potential to benefit from this. This paper reviewed the currently available literature on nanoparticle statin medication and evaluated the possible improvements that can be made to the pharmacokinetic profile and efficacy of conventional statin medication. It was found that the oral bioavailability of nanoparticle medication consistently outperformed conventional medication by up to 400% in some cases. Substantial improvements in time to peak plasma concentration and plasma concentration peaks were also found, and increased periods in circulation before excretion were shown. It was concluded that nanoparticle technology has the potential to completely replace conventional statin medication as it offers more significant benefits with minimal drawbacks. Upon further study and development, the manufacture of nanoparticle statin medication should become feasible enough for large-scale application, which will significantly benefit patients and unburden healthcare systems. [ABSTRACT FROM AUTHOR]

In this study, a spatiotemporal disaggregated simulation model was developed based on water–food–energy (WFE) nexus approach to assess water and food supply security considering ecosystem provisioning services. The main components of the developed model in this study (SD-WFE model) are population, water, agriculture, and energy modules. The model, which was developed using system dynamics (SD) approach, was utilized to simulate effectiveness of sectoral municipal, industrial, and agricultural water and energy consumption management and environmental protection policies in improving ecosystem provisioning services during a 20-year period. Through sensitivity analysis utilizing the Monte Carlo model, the study addresses the formulation of sustainable water resource policies across four main categories: water demand management, water supply management, food resource management, and energy resource demand management. Additionally, it explores the integration of policies within an optimal framework. The simulation of proposed solutions revealed that a combination of water demand management and food resource management yielded the most promising outcome. Specifically, the recommended solution entails enhancing water irrigation efficiency by 18% through the expansion of pressurized irrigation network coverage, adjusting cropping patterns by 14%, reducing agricultural product losses by 8% via improved food supply management, minimizing food demand by 9% due to reduced food consumption losses, and achieving an annual 10% increase in crop performance. These selected policies form the foundation for sustainable water resource management strategies. [ABSTRACT FROM AUTHOR]

The study successfully produced a hybrid nanocomposite of silver nanoparticles embedded with end-of-life battery-derived sheets-like nitrogen and sulfur-doped reduced-graphene oxide (AgNPs@NSG), which was utilized to remove methylene blue (MB) and paracetamol (PC) from aqueous solutions. The AgNPs@NSG nanocomposite was analyzed using various techniques. Several conditions, including pH value, adsorbent dose, initial concentration, and contact time, were studied to improve the removal efficiency of MB and PC. The pseudo-second-order model was the best fit for both MB and PC adsorption kinetics. The Langmuir model effectively described the experimental data for the adsorption isotherm, with maximum adsorption capacities of 61.72 and 52.6 mg/g for MB and PC, respectively, at room temperature. Additionally, the AgNPs@NSG nanocomposite demonstrated promising antibacterial activity against Gram-positive and Gram-negative bacteria. The nanocomposite showed inhibition zone diameters of 12.00 mm for Bacillus subtilis, 10.33 mm for Staphylococcus aureus, 9.67 mm for Streptococcus mutans, 10.00 mm for Escherichia coli, 11.33 mm for Proteus vulgaris, 9.67 mm for Serratia marcescens, and 10.67 mm for Vibrio parahaemolyticus. These results indicate the potential of AgNPs@NSG for reducing microorganism infections, especially in wastewater treatment. Overall, this study presents a simple and cost-effective process for producing an efficient material to remove harmful pollutants from wastewater. It also demonstrates its additional antimicrobial properties, highlighting its potential for versatile applications in environmental cleanup and infection control. [ABSTRACT FROM AUTHOR]

The emergence and rapid spread of antibiotic resistance pose a major threat to global health, attributing to misuse and overuse of antibiotics resulting in antibiotics-resistant bacteria through natural mutation or transfer of resistance genes. A cross-sectional study was carried out, in which a total of 36 samples were systematically collected; of these, 26 were derived from the wastewater efflux and 10 from the receiving waters at several critical junctures along the Sutlej River. Herein, this study elucidated elevated levels of antibiotic resistance among bacterial isolates sourced from urban wastewater. Escherichia coli (E. coli) was the highest at 90% among the isolates, followed by Klebsiella pneumoniae (K. pneumoniae) at 58%, Pseudomonas aeruginosa (P. aeruginosa) at 55%, and Salmonella spp. at 53%. Many antibiotics were found to be more resistant including Ciproflaxacin, Co-Trimaxazole, Ampicillin and Tetracycline. Several antibiotic-resistance genes were found in isolated bacterial spp., such as Aminoglycosides (aadA), Sulfonamides (Sul1, Sul3), Tetracyclines (Tet (A/B/D)) and Cephalosporins (Bla_CTM X) at 41%, 35%, 29% and 12% respectively. Furthermore, the development of innovative wastewater treatment models and surveillance programs are crucial to counteract the dissemination of antibiotic resistance. To investigate the genetic determinants of antibiotic resistance, molecular analysis was performed, including DNA isolation, PCR amplification, and sequence analysis. The study helps investigate a diverse range of ARBs and ARGs in wastewater, which highlights the need of better laws for antibiotic usage and wastewater treatment processes. This investigation also stresses on regular monitoring of ARBs and ARGs in sewage wastewater. Through proactive interventions and sustained scientific inquiry, we can strive toward preserving environmental integrity and public health for successive generations. [ABSTRACT FROM AUTHOR]

Background: Dysgeusia or altered taste is a rare complication following suspension microlaryngoscopy with the incidence ranging from 2.9 to 12.1%. We report this with recommendations to avoid similar complications following suspension laryngoscopy, tonsillectomy, and tongue base surgery which require pressure to be placed on the tongue for better surgical field visualization. Case presentation: A 53-year-old man with underlying diabetes mellitus presented with long standing history of irritative cough, globus sensation, and evidence of laryngopharyngeal reflux. A left ventricle swelling was noted on flexible laryngoscopy and neck. He underwent direct laryngoscopy and biopsy of the left ventricle lesion which revealed to be acute on chronic inflammation. Day 1 postoperatively, patient complained of reduced sensation over left hemi-tongue. A referral to a neurologist was made for further examination and he was found to have loss of taste over anterior two-third of tongue and treated with vitamin B complex. To date, dysgeusia remains persistent. Patient relayed his grievances to the hospital following these complications. Review of literature on relevant topic was made through PubMed, Web of Science, and Cochrane Library Database by two reviewers, working independently. Twenty-three papers, available in full, written in English language, containing number of cases, type of surgery, and complications were extracted and studied. Conclusions: Risk of dysgeusia and paresthesia postoperatively should be informed during consent taking for all patients undergoing tonsillectomy, laryngeal microsurgery, and tongue base surgery. Zinc deficiency should be investigated in patients with persistent taste disturbance post-tonsillectomy. Intermittent release during suspension laryngoscopy beyond 30 min to reduce post-surgical complications. Greater care should be taken to reduce the amount of force during the suspension laryngoscopy due to smaller oral and oropharyngeal structure in female. Keeping close to the tonsillar capsule particularly in mid and lower pole areas should be done in tonsillectomy using diathermy dissection. [ABSTRACT FROM AUTHOR]

In this study, two materials were synthesized: La0.5Ca0.5MnO3 and novel rGO-La0.5Ca0.5MnO3. The solid-state reactions and hydrothermal methods were used to synthesize these nanocomposites. The specific capacitances of La0.5Ca0.5MnO3 nanocomposite were estimated at scan rates of (1 and 90 mV/s), resulting in values of (779.26, and 41.06) Fg−1. Reduced graphene oxide gave the specific capacitance of (491.75 and 140.44) Fg−1 at the scan rates of (1 and 50 mV/s). The novel rGO-La0.5Ca0.5MnO3 nanocomposite gave the reportable specific capacitance of (1014.62 and 81.86) Fg−1 at the scan rates of (1 and 90 mV/s). The XRD pattern displayed crystallized nanoparticles exhibiting five distinct diffraction peaks at (112), (022), (220), (024), and (224) directions, which correspond to the hexagonal crystal structure. The insertion of electrons into the anti-bonding Mn orbital causes the Mn–O bond length to expand, shifting the diffraction peaks of LCM toward higher 2 theta angles. Five diffraction peaks were observed in the crystallized reduced graphene oxide (rGO), with two intense peaks at (002) and (200) at 2 theta angles of 26.591° and 44.640°. The material's surface morphology exhibits a hexagonal structure upon examination. The occurrence of wrinkles in reduced graphene oxide (rGO) is a common observation in 2D materials, primarily because of rGO's negative thermal expansion. Nanopoles in LCM and RLCM exhibit a distinct cube-like shape. The cubes are created through a combination of isotropic compression and thermal reduction. [ABSTRACT FROM AUTHOR]

Silver (Ag) nano-sized particles were prepared using the Sol–gel technique and then mixed with a (Cu0.5Tl0.5)Ba2Ca2Cu3O10-δ superconductor to produce (Ag)x/CuTl-1223; x ∼ 2.0 wt.% nano-particles superconducting composites. The synthesized samples were pelletized at both low hydraulic pressure (100 MPa) and high pressure (0.4 GPa) using a cold isostatic press (CIP). The structure, morphology, composition, vibrational modes of oxygen, and superconducting properties of prepared nanocomposites were analyzed via X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), Fourier transform infrared spectroscopy (FTIR), and four-probe resistivity measurements, respectively. XRD analysis confirmed that the major phase is CuTl-1223 tetragonal matrix, and no pronounced change was observed in the lattice parameters with the application of high pressure. EDX reveals the presence of Ag nanoparticles in the samples. SEM micrographs indicate that high pressure compresses inter-grain regions and reduces voids, enhancing connectivity and improving electrical transport properties. Resistivity measurements show that the critical temperature Tc (0) and activation energy (Uo) of CuTl-1223 superconductor increases with the inclusion of nanoparticles up to 2.0 wt.% and are further enhanced under high pressure using CIP. The improved superconducting properties are attributed to the conducting nature of Ag NPs that fills the inter-grain voids and facilitates the conduction process across the grains. Additionally, high pelletization pressure reduces the porosity by forcing the grains close together, thereby increasing the superconducting volume fraction and further boots superconductivity. [ABSTRACT FROM AUTHOR]

In Burkina Faso, products and nests of insect are used for therapeutic purposes in traditional medicine. However, this use by local populations is marginal and empirical. The objective of this study was to evaluate the antimicrobial activity of extracts of bees’ products and termite nests. Thus, the collected termite nests were finely ground. Hydroethanolic extraction of bioactive molecules with potential antibacterial activity was performed according to standard methods. The agar diffusion method was used to test the antibacterial activity of hydroethanolic extracts of honey bee, bee wax, propolis, and termite nests against 22 pathogenic strains by inhibition diameter. Imipenem and nystatin were used as a positive control for bacterial and fungal strains respectively. The extraction yields varied from 7.33 to 35.39% depending on the content of soluble matter. All extracts of bees’ products and termite nests tested showed inhibitory activities. The inhibition diameters varied depending on the extract and strain tested. The largest diameter of inhibition (26 ± 0.0 mm) was obtained using the nest extract of Macrotermes bellicosus against Salmonella Typhimurium ATCC14028. The lowest diameter of inhibition was 7 ± 0.0 mm obtained with honey extract against Pseudomonas aeruginosa ATCC27853. Index multi-resistance of the extracts tested were between 0.2 and 0.6. Interestingly, the inhibition diameters and activity coefficient of certain products and nest extracts of insects were sometimes greater than those of imipenem/nystatin against the strains tested. This study revealed the antimicrobial potential of termite nest extracts and hive products against pathogens.Highlights: Highlighted of entomotherapeutic potential of bees’ products and termite nests. Importance of bees’ products and termite nests as alternative treatment for diseases. Bioactive compounds of bees’ products and termite nests involved in the treatment of disease by traditional medicine. [ABSTRACT FROM AUTHOR]

This paper has successfully employed a hydrothermal method to synthesize spinel LiMn1.5Ni0.5O4 (LMNO) cathode materials. Calcination at 600, 700, and 800 °C is performed to evaluate microstructure properties compared to as-prepared LMNO. The samples are investigated by XRD, SEM, TGA, FTIR. The crystallite sizes are smaller than the particle size of LMNO, revealing their polycrystalline nature. The TGA analysis supports the structural changes after calcined as revealed by XRD spectra. The FTIR spectrum indicates that the LMNO disorder-order transition occurs within the investigated temperature range. The peak broadening is attributable to the contribution of crystallite size and lattice strain, further analyzed according to Scherrer, Williamson-Hall, Size-Strain plot, and Halder-Wagner methods. Additionally, the results gained from different analysis methods are contrasted and discussed, which is the primary focus of this study. Generally, all analysis models indicate that the crystallite grows monotonously larger as temperature increases. The lowest lattice strain is observed in the as-prepared LMNO. However, calcining at 600 °C exhibits the highest developed lattice strain and gradually decreases as temperature increases further. This study also highlights the importance of convolution of size and strain contributions in determining the suitable method for calculating crystallite size and lattice strain. [ABSTRACT FROM AUTHOR]

Background: Alanine aminotransferase (ALT) is widely used to screen patients with hepatic diseases. However, the current reference ranges (< 50 U/L) were developed by laboratories and have not been validated in populations with a large number of healthy individuals. Methods: This study collected venous blood and anthropometric data from a total of 13,287 healthy children aged 3 months to 18 years who underwent routine physical examinations in the Department of Pediatric Healthcare. We applied the least mean square algorithm to establish age- and sex-related reference percentiles of serum levels of transaminases. For validation, we recruited 4276 children and adolescents with obesity/overweight who underwent evaluation and metabolic tests in the hospital. Using receiver operating characteristic curves, we determined age- and sex-specific upper limit percentiles of liver enzymes for fatty liver diseases. Results: This study revealed a significant correlation between serum transaminase levels and age and sex (P < 0.01). These transaminase levels exhibited age- and sex-specific patterns. Among individuals in the non-alcoholic fatty liver disease (NAFLD) cohort, elevated ALT levels displayed a positive association with clinical markers of disease severity, including homeostatic model assessment of insulin resistance, waist–hip ratio, and serum uric acid levels (P < 0.01). According to the receiver operating characteristic curves, ALT levels at the 92.58th percentile for boys and the 92.07th percentile for girls yielded the highest accuracy and specificity. Conclusions: This study provides age- and sex-specific reference ranges for ALT, aspartate aminotransferase, and γ-glutamyltransferase in Chinese children and adolescents, making it the largest population study to date. Furthermore, the study establishes a precise upper limit for ALT levels, facilitating their use in NAFLD screening. CoEzBqA-ybMqMjKK3XNXmu Video Abstract [ABSTRACT FROM AUTHOR]

The Albian–Aptian Goru Formation represents a fluvio-deltaic reservoir in both the Central and Southern Indus Basin, Pakistan. Using high-resolution core data, this study provides comprehensive insights into the depositional environment and its role in influencing reservoir heterogeneities in the studied formation. The sedimentological investigations demonstrate five lithofacies, namely, (i) massive sandstone (Sm), (ii) horizontal to low-angle planar laminated sandstone (Sl), (iii) planar cross-laminated sandstone (Sc), (iv) heterolithic beds (Hw and Hr), and (v) massive mudstone (Mm). Facies associations reflect shallow marine depositional settings varying from deltaic in the NE to strand plain in the SW. The framework grains of the established lithofacies exhibit quartzo-feldspathic petrofabrics, which have been sourced from stable craton-continental block settings. The petrophysical data in the core depth zone show high shale content in Well-A and lower parts of Well-B. In Well-A, the crossover between the density and neutron logs is not observed, which suggests unsaturated sands, while Well-B exhibits a permeable zone as indicated by neutron-density crossover, low gamma ray values, and relatively high porosity. The petrographic analysis and scanning electron microscopy indicate high effective porosities contributed by both primary (intergranular and intercrystalline) and secondary porosity (owing to fracturing and dissolution). The upper part of Well-B shows high porosity values up to 28% due to highly fractured quartz. Porosity values are low in the lower parts of the Well-A and Well-B due to intensive calcite cementation, chlorite recrystallization, proto matrix as well as pseudo matrix. This suggests that both Well-A and Well-B have a common source but the reservoir properties can be attributed to the depositional and post-depositional variations in the petrofabric of the studied lithological units. The Cretaceous Goru Formation in Southern Indus Basin, the Pariwar formations in Jaisalmar Basin, and Bhuj Formation in Kutch Basin share same geological history and sedimentary processes. Thus, these studies can be utilized in the exploration of Cretaceous reservoirs in these basins. [ABSTRACT FROM AUTHOR]

Anthocyanins (ACNs) are water-soluble pigments in various fruits and vegetables known for their high antioxidant activity. They are used as natural food colorants and preservatives and have several medicinal benefits. However, their application in functional foods and nutraceuticals is often compromised by their low stability to heat, oxygen, enzymes, light, pH changes, and solubility issues. Spray drying has emerged as an effective microencapsulation technique to enhance the shelf life, quality, and stability of ACNs. This manuscript reviews the latest scientific developments in spray drying microencapsulation of ACNs-rich fruit extracts. Process optimization and the stability and physicochemical properties of the spray-dried, microencapsulated ACNs-rich powders are discussed. This review also covers functional food and nutraceutical applications and introduces novel encapsulation methods, such as freeze-drying, supercritical carbon dioxide (SC-CO2), coacervation, drum drying, and electrospraying, highlighting their potential in improving the utility of ACNs-rich fruit extracts. [ABSTRACT FROM AUTHOR]

Nickel ferrites have served as electrode materials in energy storage applications such as batteries and supercapacitors in comparison to other metal oxides, they have a higher theoretical capacitance range. Pristine metal oxides are poor candidates as electrode components in electrochemical applications because of their tendency to aggregate and their less specific surface areas. Herein, we reported wet impregnation method to incorporate Nickel Ferrite (NiFe2O4) to multiwalled carbon nanotubes (MWCNTs) for improved electrochemical performance of nickel ferrites (NiFe2O4). The synthesized materials attained good crystallinity confirmed by X-ray diffraction (XRD). NiFe2O4 nanoparticle adhesions on multiwalled carbon nanotubes have been confirmed by scanning electron microscopy (SEM). UV-DRS was used to measure the bandgap for optical studies. Cyclic Voltammetry (CV), Galvanostatic Charge/Discharge (GCD), and Electrochemical Impedance Spectroscopy (EIS) investigations for supercapacitor applications revealed that synthesized materials demonstrated good electrochemical potential, but MWCNTs supported NiFe2O4 composite attained exceptionally high specific capacitance (CV: 830 F g−1 at 5 mV s−1, GCD:343 F g−1 at current density of 0.1 A g−1) with capacitance retention of 98% at the current density of 0.8 A g−1 after 3500 stability cycles. [ABSTRACT FROM AUTHOR]

Purpose: Visceral leishmaniasis (VL) is caused by an intracellular parasite that is transmitted to humans by sandfly bites. It is prevalent throughout Asia, Africa, the Americas, and the Mediterranean area, where 147 million people are at risk of contracting the illness. The manifestation of heterotrophic illness relies on both Leishmania implicated and the host's immunological response, ranging from asymptomatic to severe leishmaniasis with potentially lethal effects. Method: We reviewed the literature (published till 31st December 2023) on the worldwide situation of leishmaniasis, standard and novel detection techniques, and traditional and modern treatment strategies and endeavors to eliminate VL. Moreover, epidemiological data was collected from the World Health Organization's publicly available databases. GraphPad Prism Version 8 was used to analyze and produce figures based on the epidemiological data. Results: Diagnosis of parasites in tissues or serology is commonly employed. Diagnosis by identifying parasite DNA using molecular techniques is becoming more popular. Despite recent findings of L. donovani resistance to pentavalent antimoniate medications, it continues to be the cornerstone in the medical management of VL. Amphotericin B and its lipid formulations, injectable paromomycin, and oral miltefosine are among the new therapy options being researched. The number of reported VL cases has reduced remarkably over the last decade due to human interventions made to eliminate VL. Particularly countries from the South East Asian region have experienced momentous progress in reducing VL cases and eliminating this disease from this region. Owing to the robust elimination programs, countries such as Bangladesh has eliminated VL as a public health concern. India and Nepal are on the verge of its elimination. Conclusion: Rapid diagnosis, effective and inexpensive treatment, simple access to newly discovered medications, appropriate vector control, and a well-designed vaccine are all required for the elimination of this disease burden in impoverished areas of the globe. [ABSTRACT FROM AUTHOR]

As electronic waste poses environmental challenges, exploring eco-friendly alternatives becomes imperative. In this review, the introduction reveals the disposal problem of existing printed circuit boards (PCBs) and the potential impacts of implementing biodegradable PCBs towards the United Nations Sustainable Development Goals. Various biodegradable materials, including polylactic acid, cellulose/cellulose acetate, silk proteins, gelatin, polyvinyl alcohol, mycelium, and wood, were evaluated for their properties and suitability in PCB manufacturing. Each material is scrutinised for its suitability in creating environmentally friendly circuit boards. The study meticulously analyses these biodegradable PCBs' electrical, mechanical, thermal and decomposition properties, providing insights into their performance under various conditions. The article also explores different fabrication methods and their advantages and limitations for manufacturing biodegradable PCBs. Solvent and non-solvent based decomposition of the biodegradable PCBs were revealed. The research outcome on a balance between hygroscopic property and degradability of biodegradable PCBs is revealed. The narrative extends to encompass the challenges and issues associated with the Design-for-Manufacturing processes and life cycle assessment of biodegradable PCBs, shedding light on potential hurdles and areas for improvement. The article concludes with a forward-looking perspective on the future of biodegradable printed circuit boards, environmentally friendly fire-retardants, a proposal for alternative standards for biodegradable PCBs, and their increasing role in sustainable electronics. [ABSTRACT FROM AUTHOR]