Synthesis, antimicrobial activity, and mechanistic studies of enterocin DD14, a leaderless two-peptide bacteriocin.

Bacteriocins are promising alternatives to antibiotics in the food, veterinary and medical sectors, but their study and use is often hampered by the low yields and high costs associated with their purification from naturally occurring bacteria. Chemical synthesis has emerged as a means to overcome this limitation and design more active variants. In this study, microwave-assisted solid-phase peptide synthesis was used to produce the leaderless two-peptide bacteriocin enterocin DD14 (EntDD14), composed of EntDD14A (44 amino acids) and EntDD14B (43 amino acids). The resulting synthetic peptides, syn-EntDD14A and syn-EntDD14B, were tested against Gram-positive bacteria including Listeria, Staphylococcus and Enterococcus strains. Both peptides were found to be necessary for optimal, but not synergistic, antibacterial activity and to act through a pore-forming mechanism. Both peptides exhibited moderate cytotoxicity against eukaryotic cells.

New ZNHIT3 Variants Disrupting snoRNP Assembly Cause Prenatal PEHO Syndrome with Isolated Hydrops.

ZNHIT3 (zinc finger HIT type containing protein 3) is an evolutionarily conserved protein required for ribosome biogenesis by mediating the assembly of small nucleolar RNAs (snoRNAs) of class C/D into ribonucleoprotein complexes (snoRNPs). Missense mutations in the gene encoding ZNHIT3 protein have been previously reported to cause PEHO syndrome, a severe neurodevelopmental disorder typically presenting after birth. We discuss here the case of two fetuses from a single family who presented with isolated hydrops during the early second trimester of pregnancy, resulting in intrauterine demise. Autopsy revealed no associated malformation. Through whole-genome quartet analysis, we identified two novel variants within the ZNHIT3 gene, both inherited from healthy parents and occurring as compound heterozygotes in both fetuses. The c.40T>C p.Cys14Arg variant originated from the father, while the c.251_254delAAGA variant was of maternal origin. Analysis of the variants in human cell culture models reveals that both variants reduce cell growth, albeit to different extents, and impact the protein's stability and function in distinct ways. The c.251_254delAAGA results in production of a stable form of ZNHIT3 that lacks a domain required for mediating snoRNP biogenesis, whereas the c.40T>C p.Cys14Arg variation behaves similarly to the previously described PEHO-associated ZNHIT3 variants that destabilize the protein. Interestingly, both variations lead to a marked decrease in specific box C/D snoRNA levels, reduced rRNA levels and cellular translation. Analysis of rRNA methylation pattern in fetus samples reveals distinct sites of hypo 2'-O-methylation. RNA-seq analysis of undifferentiated and differentiated SHSY5Y cells transfected with the ZNHIT3 variants reveals differential expression of a set of genes, many of which are associated with developmental processes and RNA binding compared to cells expressing wild-type ZNHIT3. In summary, this work extends the phenotype of PEHO syndrome to include antenatal manifestations and describe the molecular defects induced by two novel ZNHIT3 variants.

Recent Treatment Strategies and Molecular Pathways in Resistance Mechanisms of Antiangiogenic Therapies in Glioblastoma.

Malignant gliomas present great difficulties in treatment, with little change over the past 30 years in the median survival time of 15 months. Current treatment options include surgery, radiotherapy (RT), and chemotherapy. New therapies aimed at suppressing the formation of new vasculature (antiangiogenic treatments) or destroying formed tumor vasculature (vascular disrupting agents) show promise. This study summarizes the existing knowledge regarding the processes by which glioblastoma (GBM) tumors acquire resistance to antiangiogenic treatments. The discussion encompasses the activation of redundant proangiogenic pathways, heightened tumor cell invasion and metastasis, resistance induced by hypoxia, creation of vascular mimicry channels, and regulation of the tumor immune microenvironment. Subsequently, we explore potential strategies to overcome this resistance, such as combining antiangiogenic therapies with other treatment methods, personalizing treatments for each patient, focusing on new therapeutic targets, incorporating immunotherapy, and utilizing drug delivery systems based on nanoparticles. Additionally, we would like to discuss the limitations of existing methods and potential future directions to enhance the beneficial effects of antiangiogenic treatments for patients with GBM. Therefore, this review aims to enhance the research outcome for GBM and provide a more promising opportunity by thoroughly exploring the mechanisms of resistance and investigating novel therapeutic strategies.

A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space.

Annotations play a vital role in highlighting critical aspects of visualizations, aiding in data externalization and exploration, collaborative sensemaking, and visual storytelling. However, despite their widespread use, we identified a lack of a design space for common practices for annotations. In this paper, we evaluated over 1,800 static annotated charts to understand how people annotate visualizations in practice. Through qualitative coding of these diverse real-world annotated charts, we explored three primary aspects of annotation usage patterns: analytic purposes for chart annotations (e.g., present, identify, summarize, or compare data features), mechanisms for chart annotations (e.g., types and combinations of annotations used, frequency of different annotation types across chart types, etc.), and the data source used to generate the annotations. We then synthesized our findings into a design space of annotations, highlighting key design choices for chart annotations. We presented three case studies illustrating our design space as a practical framework for chart annotations to enhance the communication of visualization insights. All supplemental materials are available at https://shorturl.at/bAGM1.

Multi-modal neuroprotection of Argemone mexicana L. against Alzheimer's disease: In vitro and in silico study.

Argemone mexicana L. is a medicinal plant, but its impact on Alzheimer's disease (AD) is right now undetermined. We intended to investigate the in-vitro anti-AD potential of leaves and flowers of A. mexicana methanol, ethanol, and ethyl extracts and to identify multi-modal anti-AD phytochemicals by computational approaches. Molecular docking of 196 phytochemicals identified three hit phytochemicals (protoberberine, protopine, and codeine) with higher binding affinity and multi-targeting ability toward AChE, BChE, BACE-1, and GSK-3ß. Further MM-GBSA assays confirmed the integrity of these phytochemicals as the hit phytochemicals. However, these phytochemicals demonstrated favorable pharmacokinetics (PK) and drugable properties having no toxicity. Molecular dynamics simulations confirmed the binding strength of the hit phytoconstituents in the active pockets of AChE, BChE, BACE-1, and GSK-3ß with multi-targeting inhibitory activities. All the extracts exhibited dose-dependent antioxidant and anti-cholinesterase activities supporting the in silico results in the context of oxidative stress and cholinergic pathways. Our results offer scientific validation of the anti-AD properties of Argemone mexicana L. and identified protoberberine, protopine, and codeine that could be used for the development of multi-modal inhibitors of AChE, BChE, BACE-1, and GSK-3ß to combat AD. Additional in vivo validation is recommended to ensure a thorough assessment in the present research.

Exploring the multifaceted vulnerabilities of female street child labor in the capital city of Bangladesh.

Numerous children experience vulnerability due to their families' profound economic and socio-economic hardships. Among this demographic, females face heightened susceptibility, particularly those engaged in child labor. Dhaka, the capital city of Bangladesh, hosts a substantial population of female child laborers, compounding their precarious circumstances. Hence this study utilizes a qualitative phenomenological approach to investigate the vulnerabilities affecting these female child laborers thoroughly. A total of 25 in-depth interviews were conducted with female child laborers in Dhaka city, following a semi-structured format. NVivo 14 software was instrumental in the systematic coding and analysis of the extensive text data, enhancing the reliability and validity of the findings. This study, therefore, explores various vulnerabilities faced by female child laborers in Dhaka city, including risky health behavior, abusive behavior, sexual harassment, school dropout, unhygienic dietary habits, hazardous work conditions, and substandard living environments. Their socio-economic conditions make them susceptible to physical and mental setbacks, exploitation, and loss of dignity. The study emphasizes the necessity for comprehensive support and breaking the cycle through educational, health, and social initiatives. It offers a detailed portrayal of the living conditions of female child laborers in Dhaka city, providing valuable insights and evidence-based policy prescriptions for policymakers and Non-Government Organizations to formulate effective policies and measures to safeguard this vulnerable community.

Effects of Crumpling Stage and Porosity of Graphene Electrode on the Performance of Electrochemical Supercapacitor.

The performance characteristics of supercapacitors composed of crumpled graphene electrodes and aqueous NaCl electrolytes are investigated through Molecular Dynamics (MD) simulations using a newly developed crumpled graphene-based supercapacitor model. Results suggest that the three-dimensional configuration of crumpled graphene boosts electrolyte-electrode interaction. This improved interaction, which includes a larger ion-accessible zone, increases the specific capacitance of the supercapacitor by roughly 400% (16.4 µF/cm2) compared to planar graphene electrodes. Examining the effect of different stages of crumpling and the inclusion of pores on the electrode surface shows that the stages of crumpling substantially influence the supercapacitor performance. A smaller crumpling radius, meaning fully crumpled stage, improves the performance as increased crumpling leads to better packing efficiency, which aids in more ion separation. Furthermore, adding pores on the surface of crumpled graphene improves the ion accessibility by creating additional adsorption sites. An exceptional capacitance of 19.8 µF/cm2 is obtained for a porosity of 20%. However, the results suggest that the in-plane-porosity of the electrode needs to be optimized as there is a decline in specific capacitance after that point (20% porosity), indicating a suboptimal relationship between the charge distribution, specific surface area (SSA) and the porosity of the electrode.

CTLESS: A scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT.

Attenuation compensation (AC), while being beneficial for visual-interpretation tasks in myocardial perfusion imaging (MPI) by SPECT, typically requires the availability of a separate X-ray CT component, leading to additional radiation dose, higher costs, and potentially inaccurate diagnosis due to SPECT/CT misalignment. To address these issues, we developed a method for cardiac SPECT AC using deep learning and emission scatter-window photons without a separate transmission scan (CTLESS). In this method, an estimated attenuation map reconstructed from scatter-energy window projections is segmented into different regions using a multi-channel input multi-decoder network trained on CT scans. Pre-defined attenuation coefficients are assigned to these regions, yielding the attenuation map used for AC. We objectively evaluated this method in a retrospective study with anonymized clinical SPECT/CT stress MPI images on the clinical task of detecting defects with an anthropomorphic model observer. CTLESS yielded statistically non-inferior performance compared to a CT-based AC (CTAC) method and significantly outperformed a non-AC (NAC) method on this clinical task. Similar results were observed in stratified analyses with different sexes, defect extents and severities. The method was observed to generalize across two SPECT scanners, each with a different camera. In addition, CTLESS yielded similar performance as CTAC and outperformed NAC method on the metrics of root mean squared error and structural similarity index measure. Moreover, as we reduced the training dataset size, CTLESS yielded relatively stable AUC values and generally outperformed another DL-based AC method that directly estimated the attenuation coefficient within each voxel. These results demonstrate the capability of the CTLESS method for transmission-less AC in SPECT and motivate further clinical evaluation.

Health text simplification: An annotated corpus for digestive cancer education and novel strategies for reinforcement learning.

OBJECTIVE: The reading level of health educational materials significantly influences the understandability and accessibility of the information, particularly for minoritized populations. Many patient educational resources surpass widely accepted standards for reading level and complexity. There is a critical need for high-performing text simplification models for health information to enhance dissemination and literacy. This need is particularly acute in cancer education, where effective prevention and screening education can substantially reduce morbidity and mortality. METHODS: We introduce Simplified Digestive Cancer (SimpleDC), a parallel corpus of cancer education materials tailored for health text simplification research, comprising educational content from the American Cancer Society, Centers for Disease Control and Prevention, and National Cancer Institute. The corpus includes 31 web pages with the corresponding manually simplified versions. It consists of 1183 annotated sentence pairs (361 train, 294 development, and 528 test). Utilizing SimpleDC and the existing Med-EASi corpus, we explore Large Language Model (LLM)-based simplification methods, including fine-tuning, reinforcement learning (RL), reinforcement learning with human feedback (RLHF), domain adaptation, and prompt-based approaches. Our experimentation encompasses Llama 2, Llama 3, and GPT-4. We introduce a novel RLHF reward function featuring a lightweight model adept at distinguishing between original and simplified texts when enables training on unlabeled data. RESULTS: Fine-tuned Llama models demonstrated high performance across various metrics. Our RLHF reward function outperformed existing RL text simplification reward functions. The results underscore that RL/RLHF can achieve performance comparable to fine-tuning and improve the performance of fine-tuned models. Additionally, these methods effectively adapt out-of-domain text simplification models to a target domain. The best-performing RL-enhanced Llama models outperformed GPT-4 in both automatic metrics and manual evaluation by subject matter experts. CONCLUSION: The newly developed SimpleDC corpus will serve as a valuable asset to the research community, particularly in patient education simplification. The RL/RLHF methodologies presented herein enable effective training of simplification models on unlabeled text and the utilization of out-of-domain simplification corpora.

Unraveling the potential effects of non-synonymous single nucleotide polymorphisms (nsSNPs) on the Protein structure and function of the human SLC30A8 gene on type 2 diabetes and colorectal cancer: An In silico approach.

Background and aims: The single nucleotide polymorphisms (SNPs) in SLC30A8 gene have been recognized as contributing to type 2 diabetes (T2D) susceptibility and colorectal cancer. This study aims to predict the structural stability, and functional impacts on variations in non-synonymous SNPs (nsSNPs) in the human SLC30A8 gene using various computational techniques. Materials and methods: Several in silico tools, including SIFT, Predict-SNP, SNPs&GO, MAPP, SNAP2, PhD-SNP, PANTHER, PolyPhen-1,PolyPhen-2, I-Mutant 2.0, and MUpro, have been used in our study. Results: After data analysis, out of 336 missenses, the eight nsSNPs, namely R138Q, I141N, W136G, I349N, L303R, E140A, W306C, and L308Q, were discovered by ConSurf to be in highly conserved regions, which could affect the stability of their proteins. Project HOPE determines any significant molecular effects on the structure and function of eight mutated proteins and the three-dimensional (3D) structures of these proteins. The two pharmacologically significant compounds, Luzonoid B and Roseoside demonstrate strong binding affinity to the mutant proteins, and they are more efficient in inhibiting them than the typical SLC30A8 protein using Autodock Vina and Chimera. Increased binding affinity to mutant SLC30A8 proteins has been determined not to influence drug resistance. Ultimately, the Kaplan-Meier plotter study revealed that alterations in SLC30A8 gene expression notably affect the survival rates of patients with various cancer types. Conclusion: Finally, the study found eight highly deleterious missense nsSNPs in the SLC30A8 gene that can be helpful for further proteomic and genomic studies for T2D and colorectal cancer diagnosis. These findings also pave the way for personalized treatments using biomarkers and more effective healthcare strategies.

IPr*F - Highly Hindered, Fluorinated N-Heterocyclic Carbenes.

The introduction of fluorine atom has attracted considerable interest in molecular design owing to the high electronegativity and the resulting polarization of carbon-fluorine bonds. Simultaneously, sterically-hindered N-heterocyclic carbenes (NHCs) have received major interest due to high stabilization of the reactive metal centers, which has paved the way for the synthesis of stable and reactive organometallic compounds with broad applications in main group chemistry, inorganic synthesis and transition-metal-catalysis. Herein, we report the first class of sterically-hindered, fluorinated N-heterocyclic carbenes. These ligands feature variable fluorine substitution at the N-aromatic wingtip, permitting to rationally vary steric and electronic characteristics of the carbene center imparted by the fluorine atom. An efficient, one-pot synthesis of fluorinated IPr*F ligands is presented, enabling broad access of academic and industrial researchers to the fluorinated ligands. The evaluation of steric, electron-donating and π-accepting properties as well as coordination chemistry to Au(I), Rh(I) and Se is presented. Considering the unique properties of carbon-fluorine bonds, we anticipate that this novel class of fluorinated carbene ligands will find widespread application in stabilizing reactive metal centers.

Regular whole blood donation and gastrointestinal, breast, colorectal and haematological cancer risk among blood donors in Australia.

BACKGROUND AND OBJECTIVES: Several studies have suggested that blood donors have lower risk of gastrointestinal and breast cancers, whereas some have indicated an increased risk of haematological cancers. We examined these associations by appropriately adjusting the 'healthy donor effect' (HDE). MATERIALS AND METHODS: We examined the risk of gastrointestinal/colorectal, breast and haematological cancers in regular high-frequency whole blood (WB) donors using the Sax Institute's 45 and Up Study data linked with blood donation and other health-related data. We calculated 5-year cancer risks, risk differences and risk ratios. To mitigate HDE, we used 5-year qualification period to select the exposure groups, and applied statistical adjustments using inverse probability weighting, along with other advanced doubly robust g-methods. RESULTS: We identified 2867 (42.4%) as regular high-frequency and 3888 (57.6%) as low-frequency donors. The inverse probability weighted 5-year risk difference between high and low-frequency donors for gastrointestinal/colorectal cancer was 0.2% (95% CI, -0.1% to 0.5%) with a risk ratio of 1.25 (0.83-1.68). For breast cancer, the risk difference was -0.2% (-0.9% to 0.4%), with a risk ratio of 0.87 (0.48-1.26). Regarding haematological cancers, the risk difference was 0.0% (-0.3% to 0.5%) with a risk ratio of 0.97 (0.55-1.40). Our doubly robust estimators targeted minimum loss-based estimator (TMLE) and sequentially doubly robust (SDR) estimator, yielded similar results, but none of the findings were statistically significant. CONCLUSION: After applying methods to mitigate the HDE, we did not find any statistically significant differences in the risk of gastrointestinal/colorectal, breast and haematological cancers between regular high-frequency and low-frequency WB donors.

Morphological and molecular identification of Euclinostomum heterostomum (Trematoda: Clinostomidae) from spotted snakehead Channa punctata in Bangladesh.

Parasites belonging to the trematode family Clinostomidae have a global distribution. Freshwater fish in Bangladesh frequently serve as hosts for different clinostomid species. During the metacercaria stage, the digenetic trematode Euclinostomum heterostomum exhibits a specific preference for Channidae species, where it undergoes encystment within the liver, kidneys, and muscles of these hosts. The study aimed to identify E. heterostomum in Channa punctata through combined morphological and molecular analysis. Light and scanning electron microscopy were conducted to investigate the morphological characteristics of the species. The histological examination of the infected liver tissue revealed the presence of encysted flukes, inflammatory leukocyte infiltrates, and degeneration and loosening of hepatic tissue. In molecular analysis, the generated internal transcribed spacer 1 (ITS1), 5.8S ribosomal DNA and ITS2 regions sequence (GenBank accession no: OR591452) of 830 bp showed 100% identity with Euclinostomum heterostomum identified in India (MT785786). The phylogenetic reconstruction provided substantial evidence of genetic similarities (0-1% genetic distance) among different isolates of the genus Euclinostomum, suggesting that there is a shared heritage.

REMP: A unique dataset of rare and endangered medicinal plants in Bangladesh for sustainable healing and biodiversity conservation.

In Bangladesh, there are significant number of medicinal plants, but currently no comprehensive record of these valuable species is publicly available. Alarmingly, some of these plants are in a precarious state of endangerment. Therefore, we are creating a unique dataset of Bangladesh's rare, endangered, and threatened medicinal plants to support conservation efforts. It will help us to track and conserve endangered plant species, ensuring a more organized approach to research and preservation efforts. We conducted on-site visits to the National Botanical Garden and The Government Unani and Ayurvedic Medical College, capturing photographs of these plants in optimal sunlight conditions at various times of the day. This involved fieldwork, detailed image annotations, dataset organization, diversity augmentation, and contribution to the preservation of our natural heritage. We have collected a total of 16 types of rare and endangered medicinal plant leaf photos to create our unique dataset consisting of a total of 3494 images. This dataset will help researchers in biodiversity conservation through building efficient machine learning models and applying advanced machine learning techniques to identify rare and endangered medicinal plants.

Characterization and spatial distribution of microplastics in Surma river, Bangladesh: Assessing water and sediment dynamics.

Microplastics (MPs), or tiny pieces of plastic, have become a major global environmental problem because of their ubiquitous availability and possible risks to aquatic ecosystems. Surma is one of the vital rivers in Bangladesh located in the northeast part, with higher chances of MP pollution due to different anthropogenic reasons. In this instance, we carried out the investigation on the abundance, distribution, and characteristics of MPs in the sediment and surface water of the river. Samples were collected from 15 major locations of the Surma river flowing through Sylhet municipality. MPs particles were isolated from sediments and water samples utilizing techniques like sieve analysis, wet peroxide oxidation, density separation, and filtration and then characterized using a stereomicroscope. The abundance of MPs recorded 8 to 18 items/L in water samples (mean ± SD: 12.33 ± 2.98 items/L) and 360 to 1120 items/kg in sediment samples (mean ± SD: 522.67 ± 197.84 items/kg). The prominent size, shape, and color of MPs isolated from sediments were 1-2 mm sizes (24.49%), fragments (47.71%), and black (30.65%). However, for water samples, 1-2 mm sizes (37.22%), fiber shapes (48.48%), and transparent colors (38.46%) were dominant features. Conspicuously, in both sediment and water samples, there was a higher prevalence of smaller sized particles, posing a significant threat to the ecosystem. This heightened risk stems from the increased likelihood of ingestion by microorganisms, as well as the larger surface area of these particles, which may serve as vectors for other pollutants like organic pollutants and heavy metals. A greater abundance of fibers suggests an increased presence of lightweight particles in the water and sediment. Furthermore, the transparent color of the MPs in water might be impacted by prolonged weathering in the river, while the presence of black-colored MPs in sediment points to the existence of plastic pellets originating from industrial and diverse sources. Future studies should concentrate on long-term and broad monitoring, ecological effects, and practical mitigation techniques for MPs, providing essential baseline data to guide the formulation of policies in developing nations. PRACTITIONER POINTS: 12.33 items/L in surface water and 522.67 items/kg in sediment were observed. High correlation indicates a single MP source in mainstream water, differing from sediment. Fiber shapes, black, and transparent colored MPs are dominant. Higher prevalence of smaller sized MPs, posing a significant threat to the aquatic ecosystem.

Phytochemical Profiling and Antimicrobial Properties of Various Sweet Potato (Ipomoea batatas L.) Leaves Assessed by RP-HPLC-DAD.

This study aimed to investigate the leaves of six cultivars of Ipomoea batatas L. from the USA, focusing on their Total Polyphenol Content (TPC), Total Flavonoid Content (TFC), antioxidant, and antimicrobial activities. TPC and TFC ranged from 7.29 ± 0.62 to 10.49 ± 1.04 mg TAE/g Dw, and from 2.30 ± 0.04 to 4.26 ± 0.23 mg QE/g Dw, respectively, with the highest values found in the 'O'Henry' variety. RP-High-Performance Liquid Chromatography identified six phenolic and flavonoid compounds: caffeic acid, chlorogenic acid, 3,5-dicaffeoylquinic acid, 3,4-dicaffeoylquinic acid, and quercetin, excluding gallic acid. The highest levels of these compounds were found in acidified methanolic extracts. Antioxidant activities, measured by ABTS and DPPH assays, showed low IC50 values ranging from 94.6 ± 2.76 to 115.17 ± 7.65 µg/mL, and from 88.83 ± 1.94 to 147.6 ± 1.22 µg/mL. Ferric Ion-Reducing Antioxidant Potential (FRAP) measurements indicated significant antioxidant levels, varying from 1.98 ± 0.14 to 2.83 ± 0.07, with the 'O'Henry' variety exhibiting the highest levels. The antimicrobial activity test included five Gram-positive bacteria, three Gram-negative bacteria, and two pathogenic fungi. S. aureus, S. mutans, L. monocytogenes, E. coli, S. dysenteriae, and C. albicans were most susceptible to the methanolic extract. This study underscores the impressive antioxidant and antimicrobial activities of sweet potato leaves, often discarded, making them a valuable source of natural antioxidants, antimicrobials, and other health-promoting compounds.

Occurrence, characteristics and distribution of microplastics in commercial marine fishes of the Bay of Bengal.

The study aimed to assess and characterize microplastics (MPs) in muscles, guts, and gills of six commercially important marine fish from the Bay of Bengal. FTIR was utilized to identify MP's polymer compositions. A total 7085 MPs identified, where tuna exhibited the highest count and Bombay duck had the lowest. MPs abundance (MPs/g) was ranged from 1.56 ± 0.39 to 7.16 ± 1.36 in muscles, 1.91 ± 0.32 to 4.46 ± 0.75 in guts, and 2.36 ± 0.24 to 6.53 ± 1.58 in gills. The predominant MPs were 1-5 mm size (33.33-62.78 %), white/transparent color (18.45-54.63 %), filament shapes (75.00-94.71), and fiber types (73.21-94.71 %). FTIR revealed MPs 58.89 % polyethylene, 21.67 % polypropylene, 17.22 % polyester, and 2.22 % non-plastic compositions. Cluster analysis grouped two species with 50 % similarity, while PCA indicated significant variations among principal components (14-69.4 %) highlighting the dominance of fiber, particles, and 0.5-1.0 mm MPs in the fish tissues. The prevalence of MPs in seafood underscores measures to safeguard both the marine ecosystem and human health.

Utilisation of Medicare chronic disease management item numbers for people with cancer in Queensland, Australia.

ObjectiveChronic disease is common in people with cancer. However, the utilisation of Medicare chronic disease management (CDM) items for cancer patients in Australia remains unexplored. This study investigates Medicare CDM item numbers relating to people with cancer, including general practitioner (GP) and allied health CDM item numbers, and any associated sociodemographic factors.MethodsData from 86,571 people with cancer registered in the Queensland Cancer Registry between July 2011 and June 2015 and the CDM items codes from Medical Benefits Scheme records until 2018 were analysed. This includes utilisation of General Practitioner Management Plans (GPMP) and Team Care Arrangements (TCAs), reviews of GPMPs and TCAs, and engagement with allied health services until June 2018 following a cancer diagnosis.ResultsIn total 47,615 (55%) and 43,286 (50%) people with cancer initiated at least one GPMP and TCA, respectively, with 31,165 (36%) receiving at least one review, and 36,359 (42%) utilising at least one allied health service (e.g. physiotherapists (41%), podiatrists (27%), exercise physiologists (19%)) with variations by cancer type. While people with cancer from disadvantaged socioeconomic groups had a higher likelihood of receiving GPMP (odds ratio, OR: 1.16, 95% confidence interval, CI: 1.11-1.21) and TCA (OR: 1.12, 95% CI: 1.07-1.16), they were less likely to utilise allied health services (OR: 0.89, 95% CI: 0.85-0.93). People with cancer living in remote areas were less likely to receive TCA (OR: 0.84, 95% CI: 0.80-0.88) or utilise allied health services (OR: 0.63, 95% CI: 0.60-0.67) than those in metropolitan areas.ConclusionOur findings underscore the need to examine uptake and implementation patterns of CDM items, especially in relation to clinical, social, and service provider-level factors and related potential barriers. Further exploration is warranted to understand whether people with cancer's care needs are being met and ways to optimise the supportive care of these people.

Progress and scenario-based projections of health service availability and coverage towards UHC in the post-conflict and post-pandemic Iraq: a Bayesian hierarchical regression approach.

BACKGROUND: Two decades have passed since the beginning of the Iraq War in 2003. Iraq has long suffered from conflicts and instability, where the people have limited access to healthcare. The coronavirus disease (COVID-19) pandemic brought additional disruption to health service provision. OBJECTIVES: At the midpoint towards universal health coverage (UHC) in 2030, this study aims to gain a better understanding of the trends of UHC progress in Iraq in the context of the conflicts and the COVID-19 pandemic and to indicate possible pragmatic options. DESIGN: This study employed Bayesian hierarchical regression models to estimate trends and projections of health service availability and coverage indicators up to 2030. Furthermore, for health service coverage, four scenarios were defined based on the availability of health services, and projections were made for each scenario up to 2030. SETTING: Our approach used the yearly data from the Ministry of Health and four nationally representative household surveys between 2000 and 2020. We evaluated the subnational-level progress in three health service availability indicators and 13 health service coverage indicators in 18 governorates in Iraq from 2000 to 2030. RESULTS: The findings from 2000 to 2020 revealed a lack of progress in the indicators of health facility and inpatient bed, and pronounced detrimental effects from major conflicts and the pandemic on all measured health service coverage indicators. Despite these setbacks, several health service coverage indicators demonstrated resilience and elasticity in their recovery. The projected trends for 2021 to 2030 indicated limited alternations in the health service availability. By 2030, five health service coverage indicators will achieve the designated 80% targets. A scenario-based analysis predicts improved coverage of antenatal care, and child immunisation and treatment if health service availability is bolstered to globally recommended standards. Under this scenario, several governorates-Anbar, Baghdad, Nainawa, Qadissiyah, Salahaddin, Thiqar and Wasit-presented improved health service coverage in more indicators. CONCLUSION: Strengthened health service availability has the potential to significantly improve fragile health service coverage indicators and in more vulnerable governorates.

Dual-Absorber Solar Cell Design and Simulation Based on Sb2Se3 and CZTGSe for High-Efficiency Solar Cells.

Inorganic solar cells based on the binary-type metal chalcogenide semiconductor, particularly Sb2Se3, have recently garnered significant interest due to their abundant and nontoxic natural elements, strong thermal stability, and favorable optoelectronic properties. Single-absorber solar cells using antimony selenide have been the most common choice to date but have shown only limited efficiency in converting sunlight into electricity. The primary aim of this research is to examine a device structure that demonstrates an enhanced efficiency. The study explores the potential of utilizing CZTGSe as a secondary absorber layer to enhance photovoltaic performance metrics. The basic solar cell structure studied is FTO/CdS/Sb2Se3/Cu2O/Au, which has a power conversion efficiency of 24.94%. By conducting simulations using SCAPS-1D, an in-depth analysis of the proposed dual-absorber structure (FTO/WS2/Sb2Se3/CZT0.2G0.8Se/Cu2O/Au) was carried out. Solar cell efficiency was enhanced through the adjustment of the Ge concentration in the secondary CZTGSe absorber with various electron transport layers (CdS, ZnSe, WS2, and ZnOS). The findings indicate that optimal efficiency is achieved at a Ge concentration x = 0.8, with WS2 emerging as the most effective among the proposed ETLs. The physical characteristics of the layers, including their thickness, doping density, and impurity level, as well as the interfaces, were then modified to improve device performance. The photovoltaic device achieves a fill factor of 88.31%, a VOC of 1.117 V, a JSC of 38.23 mA/cm2, and an efficiency of 37.76% when all factors are perfectly optimized. This study proposes that CZTGSe has the potential to be utilized in creating a stable, cost-efficient Sb2Se3 solar device with high efficiency.