Successful Application Research Articles

Eco-friendly nanoparticles: mechanisms and capacities for efficient removal of heavy metals and phosphate from water using definitive screening design approach.

Can nano-zero-valent iron, synthesized using oak leaf extract, be the key solution for water preservation, efficiently removing heavy metal ions and phosphate anions simultaneously? This research unveils how this technology not only promises high efficiency in the remediation of water resources, but also sets new standards for environmentally friendly processes. The high antioxidant capacity and high phenol content indicate suggest the possibility of oak-nZVI synthesis using oak leaf extract as a stable material with minimal agglomeration. The simultaneous removal of Cd and phosphates, as well as and Ni and phosphates was optimized by a statistically designed experiment with a definitive screening design approach. By defining the key factors with the most significant impact, a more efficient and faster method is achieved, improving the economic sustainability of the research by minimizing the number of experiments while maximizing precision. In terms of significance, four input parameters affecting process productivity were monitored: initial metal concentration (1-9mgL-1), initial ion concentration (1-9mgL-1), pH value (2-10), and oak-nZVI dosage (2-16mL). The process optimization resulted in the highest simultaneous removal efficiency of 98.99 and 87.30% for cadmium and phosphate ions, respectively. The highest efficiency for the simultaneous removal of nickel and phosphate ions was 93.44 and 96.75%, respectively. The optimization process fits within the confidence intervals, which confirms the assumption that the selected regression model well describes the process. In the context of e of the challenges and problems of environmental protection, this work has shown considerable potential and successful application for the simultaneous removal of Cd(II) and Ni(II) in the presence of phosphates from water.

Geochemistry of Terrestrial Plants in the Central African Copperbelt: Implications for Sediment Hosted Copper-Cobalt Exploration

Mineral exploration has increasingly targeted areas covered by in situ or transported overburden for shallow to deep-seated orebodies. It remains critical to develop better means to detect the surficial chemical footprint of mineralized areas covered by thick regolith. In such settings, plant geochemistry could potentially be a useful exploration tool, as different plant species have varying degrees of tolerance to metal enrichment in the soil. This review provides insights into the geological and geochemical controls on metal accumulation patterns in soil–plant systems of the Central African Copperbelt. In addition, it highlights the opportunities for integrating the geochemistry of terrestrial plants in emerging exploration technologies, identifies research gaps, and suggests future directions for developing phytogeochemical sampling techniques. This review was conducted using reputable online scholarly databases targeting original research articles published between January 2005 and March 2023, from which selected articles were identified, screened, and used to explore current advances, opportunities, and future directions for the use of plant geochemistry in sediment hosted Cu–Co exploration in the Central African Copperbelt. Various plant species are recognized as ore deposit indicators through either independent phytogeochemistry or complementary approaches. In the Central African Copperbelt, the successful application of hyperaccumulator species for phytoremediation provides the basis for adopting phytogeochemistry in mineral exploration. Furthermore, current advances in remote sensing, machine learning, and deep learning techniques could enable multi-source data integration and allow for the integration of phytogeochemistry.

Adaptive tempered reversible jump algorithm for Bayesian curve fitting

Bayesian curve fitting plays an important role in inverse problems, and is often addressed using the reversible jump Markov chain Monte Carlo (RJMCMC) algorithm. However, this algorithm can be computationally inefficient without appropriately tuned proposals. As a remedy, we present an adaptive RJMCMC algorithm for the curve fitting problems by extending the adaptive Metropolis sampler from a fixed-dimensional to a trans-dimensional case. In this presented algorithm, both the size and orientation of the proposal function can be automatically adjusted in the sampling process. Specifically, the curve fitting setting allows for the approximation of the posterior covariance of the a priori unknown function on a representative grid of points. This approximation facilitates the definition of efficient proposals. In addition, we introduce an auxiliary-tempered version of this algorithm via non-reversible parallel tempering. To evaluate the algorithms, we conduct numerical tests involving a series of controlled experiments. The results demonstrate that the adaptive algorithms exhibit significantly higher efficiency compared to the conventional ones. Even in cases where the posterior distribution is highly complex, leading to ineffective convergence in the auxiliary-tempered conventional RJMCMC, the proposed auxiliary-tempered adaptive RJMCMC performs satisfactorily. Furthermore, we present a realistic inverse example to test the algorithms. The successful application of the adaptive algorithm distinguishes it again from the conventional one that fails to converge effectively even after millions of iterations.

Electron density-based GPT for optimization and suggestion of host-guest binders.

Here we present a machine learning model trained on electron density for the production of host-guest binders. These are read out as simplified molecular-input line-entry system (SMILES) format with >98% accuracy, enabling a complete characterization of the molecules in two dimensions. Our model generates three-dimensional representations of the electron density and electrostatic potentials of host-guest systems using a variational autoencoder, and then utilizes these representations to optimize the generation of guests via gradient descent. Finally the guests are converted to SMILES using a transformer. The successful practical application of our model to established molecular host systems, cucurbit[n]uril and metal-organic cages, resulted in the discovery of 9 previously validated guests for CB[6] and 7 unreported guests (with association constant Ka ranging from 13.5 M-1 to 5,470 M-1) and the discovery of 4 unreported guests for [Pd214]4+ (with Ka ranging from 44 M-1 to 529 M-1).

Can land-use and land-cover change explain reduced resilience in forests?

Generating signals of reduced resilience in ecosystems is crucial for conservation and management endeavors. However, the practical implications of such systems are still limited due to the lack of high-frequency data and uncertainties associated with predicting complex systems such as ecosystems. This study aims to investigate the potential of time series analysis of remote sensing data in detecting signals of reduced resilience in mangrove forest ecosystems. Using time series analysis of remote sensing images, the resilience of mangrove forests was explored across two distinct study sites. One site (Qeshm Island) has been adversely affected by land-use and land-cover changes, while the other (Gabrik) serves as a reference ecosystem. The study uses data from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite to quantify three remotely sensed indices: the Normalized Difference Vegetation Index (NDVI), the Modified Normalized Difference Water Index (MNDWI), and the Modified Vegetation Water Ratio (MVWR). In addition, Landsat data has been used to explore temporal alterations in land-use and land-cover change. To identify signals of reduced resilience, trend analyses of indicators such as autocorrelation (acf (1)) and standard deviation (SD) are applied. The findings revealed a notable decrease in resilience, signaled by significant upward trends in NDVI statistical metrics for Qeshm Island (Kendall’s τ of acf (1): 0.50 and SD: 0.90), contrasting with the pattern observed in Gabrik (Kendall’s τ of acf (1): −0.19 and SD: −0.19). These results align with our expectations derived from previous studies. Despite MNDWI significantly indicating reduced resilience in Qeshm Island (Kendall’s τ of acf (1): 0.86 and SD: 0.90), it also signaled decreased resilience in Gabrik (Kendall’s τ of acf (1): 0.79 and SD: 0.90). Moreover, MVWR failed to indicate signals of reduced resilience in both sites, specifically in Qeshm (Kendall’s τ of acf (1): −0.10 and SD: −0.07) and in Gabrik (Kendall’s τ of acf (1): −0.72 and SD: −0.12). These findings may be explained through quantitative analyses of land-use and land-cover change. While Qeshm Island and Gabrik share similarities in climate, geography, and annual rainfall, the analysis of land-use and land-cover change revealed significant differences between the two study areas. Qeshm Island underwent drastic increases in the built-up class by a 64.40% change between 1996 and 2014, whereas the built-up class expanded modestly by a 4.04% change in the Gabrik site. This study contributes to advancing our understanding of ecosystem dynamics. The findings of this study can be integrated with ecosystem management tools to enhance the effectiveness of conservation efforts. This is the first report of the successful application of remote sensing in generating signals of reduced resilience within mangrove forests in the Middle East.

The Potential of Clay Poultices as Sorbents for Medieval Plaster: A Comparative Study Using the Pressure Plate Method and Dye

ABSTRACT Five clay poultices used in built heritage, stone, and wall painting conservation were examined for their potential to extract impurities from medieval lime-rich wall painting plaster. Since the most efficient extraction is achieved by capillary advection, this evaluation compared the pore size distribution of the clay poultices with that of medieval plaster. The pore size distribution was measured using the pressure plate method, a method with a long history of use in soil and building science. The present study demonstrates for the first time a successful application of this method in the evaluation of clay poultices for conservation. In addition, the retentive capacities of the five poultices were examined by measuring lateral migration and penetration depths as a function of time, using customised plaster samples and a blue dye to facilitate migration measurements. Of the five poultices, bentonite showed the least promising pore size range and was estimated to have little or no effect as a drying poultice for medieval wall painting plaster. The remaining four poultices showed promising results, although with various shortcomings that might influence the results of the intervention, as the best fit is dependent on the aim of the poulticing. For a cleaning poultice, where dirt is to be extracted solely from the surface of the plaster, attapulgite and PANGEL® S1500 seemed to be best suited due to their high retention. The pore size distribution and migration pattern of PANGEL® S9 and sepiolite indicated that they could be suitable as poultices for desalination.

Revealing the Profile of Foster Parents, Biological Parents, Foster Children and the Triadic Relationship amongst them

This research paper explores the foster care framework in Greece, with a particular focus on the triadic relationship among foster carers, biological parents, and foster children. It refers to the current 30 hours compulsory training program of foster parents, emphasizing the necessity of a further specialized comprehensive training, on the ground that well prepared foster carers can better face the complexities of fostering. There is also an imperative need for ongoing support for foster parents, which will be provided in the context of social workers’ supervision to meet the behavioral and emotional challenges presented by foster children. The study investigates the potential hindrances faced during the child's placement within the foster home and the vital role social workers play in addressing these difficulties. It delves into the backgrounds of biological parents, foster carers, and foster children, examining the psychological issues and trauma they may confront. The paper highlights the paths of creating an emotional bond, trusting relationships, amongst the child and his/her foster parents and contact issues between foster and biological parents, asserting that these elements are crucial for the child's well-being and his/her integration into the foster family. Moreover, it recognizes the need for policy makers and practitioner’s collaboration and interdisciplinary approaches within the foster care system. The study concludes that well-structured support, the empowerment of children through resilience building, and a stable legal framework are foundational to successful application of the institution of fostering. It encourages future research in the form of longitudinal studies, the evaluation of training models, and cross-national comparisons that include Greek foster care organizations to ameliorate the effectiveness of foster care system. The research incorporates theoretical and research studies articles as well as selected books in the field to underline the importance of evidence-based practices in advancing the application of the institution of foster care as well as the experiences of both foster care children, biological and foster parents.

Influence of repulsion on entropy scaling and density scaling of monatomic fluids.

Entropy scaling is applied to the shear viscosity, self-diffusion coefficient, and thermal conductivity of simple monatomic fluids. An extensive molecular dynamics simulation series is performed to obtain these transport properties and the residual entropy of three potential model classes with variable repulsive exponents: n, 6 Mie (n = 9, 12, 15, and 18), Buckingham's exponential-six (α = 12, 14, 18, and 30), and Tang-Toennies (αT = 4.051, 4.275, and 4.600). A wide range of liquid and supercritical gas- and liquid-like states is covered with a total of 1120 state points. Comparisons to equations of state, literature data, and transport property correlations are made. Although the absolute transport property values within a given potential model class may strongly depend on the repulsive exponent, it is found that the repulsive steepness plays a negligible role when entropy scaling is applied. Hence, the plus-scaled transport properties of n, 6 Mie, exponential-six, and Tang-Toennies fluids lie basically on one master curve, which closely corresponds with entropy scaling correlations for the Lennard-Jones fluid. This trend is confirmed by literature data of n, 6 Mie, and exponential-six fluids. Furthermore, entropy scaling holds for state points where the Pearson correlation coefficient R is well below 0.9. The condition R > 0.9 for strongly correlating liquids is thus not necessary for the successful application of entropy scaling, pointing out that isomorph theory may be a part of a more general framework that is behind the success of entropy scaling. Density scaling reveals a strong influence of the repulsive exponent on this particular approach.

Furo, Pyrano, and Pyrido[2,3‐d]Pyrimidines: A Comprehensive Review of Synthesis and Medicinal Applications

AbstractDue to their extensive applications in pharmaceuticals and natural substances, organic synthesis and heterocyclic compounds have been at the forefront of research for many years. Pyrimidine is one of the heterocyclic compounds that have various derivatives with promising biological and pharmacological properties. This review article covers the synthesis and biological effects of pyrimidine derivatives, such as pyrano[2,3‐d]pyrimidines, pyrido[2,3‐d]pyrimidines, and furo[2,3‐d]pyrimidines. The compounds discussed in this review have a wide range of biological activities. Recent advances in green chemistry have led to the development of eco‐friendly synthetic methods for producing these bioactive heterocycles. This review aims to present various synthetic methods and biological effects of these compounds and provide new opportunities for organic chemists to develop potent nitrogen‐ and oxygen‐containing heterocycles for future applications. The review highlights examples of successful syntheses and applications of pyrimidine derivatives in the fields of antibacterial, antifungal, anticancer, enzyme inhibition, and antiviral research.

Slopes of the pressure-dependent elastic–electrical correlations in artificial sandstones

SUMMARY Seismic and electromagnetic explorations are two of the most successful geophysical applications for understanding the subsurface earth, and the joint interpretation of seismic and electromagnetic survey data can help to better characterize the rocks because they contain independent and complementary information about the rocks. However, the success of the joint interpretation depends on the understanding of the correlations between the elastic and electrical rock properties and their influencing factors. Confining pressure is an important geological parameter that has been found to give rise to linear elastic–electrical correlations in sandstones. However, it is still poorly known what controls the slopes of the pressure-dependent linear correlations, even though slope is one of the most important parameters determining the linear correlation. We make artificial sandstones with controlled porosity and permeability, respectively, and measure their pressure-dependent elastic (electrical resistivity) and electrical (P-wave velocity) properties simultaneously, as well as porosity. We show that the slopes of the measured electrical resistivity versus P-wave velocity as an implicit function of confining pressure correlate positively with the compliant porosity in all the samples. The results not only reveal the petrophysical parameter that controls the slopes of the pressure-dependent linear elastic–electrical correlations in sandstones, but also provide a basis for the discrimination of the slope-controlling parameter from the simultaneously measured elastic and electrical properties.

FHND004 inhibits malignant proliferation of multiple myeloma by targeting PDZ-binding kinase in MAPK pathway.

Inhibitors of Epidermal growth factor receptor tyrosine kinase (EGFR-TKIs) are producing impressive benefits to responsive types of cancers but challenged with drug resistances. FHND drugs are newly modified small molecule inhibitors based on the third-generation EGFR-TKI AZD9291 (Osimertinib) that are mainly for targeting the mutant-selective EGFR, particularly for the non-small cell lung cancer (NSCLC). Successful applications of EGFR-TKIs to other cancers are less certain, thus the present pre-clinical study aims to explore the anticancer effect and downstream targets of FHND in multiple myeloma (MM), which is an incurable hematological malignancy and reported to be insensitive to first/second generation EGFR-TKIs (Gefitinib/Afatinib). Cell-based assays revealed that FHND004 and FHND008 significantly inhibited MM cell proliferation and promoted apoptosis. The RNA-seq identified the involvement of the MAPK signaling pathway. The protein chip screened PDZ-binding kinase (PBK) as a potential drug target. The interaction between PBK and FHND004 was verified by molecular docking and microscale thermophoresis (MST) assay with site mutation (N124/D125). Moreover, the public clinical datasets showed high expression of PBK was associated with poor clinical outcomes. PBK overexpression evidently promoted the proliferation of two MM cell lines, whereas the FHND004 treatment significantly inhibited survival of 5TMM3VT cell-derived model mice and growth of patient-derived xenograft (PDX) tumors. The mechanistic study showed that FHND004 downregulated PBK expression, thus mediating ERK1/2 phosphorylation in the MAPK pathway. Our study not only demonstrates PBK as a promising novel target of FHND004 to inhibit MM cell proliferation, but also expands the EGFR kinase-independent direction for developing anti-myeloma therapy.

Application of a new chitosan derivative for adsorption of copper (II) and oxyanions of chromium (VI)

This study describes the synthesis of a new bioadsorbent from chitosan using ethylenediaminetetraacetic dianhydride (EDTAD) as a modifying agent and its successful application for removal of a cationic ion (copper (II) (Cu2+)) and oxyanions of chromium (VI) (Cr6+) from single-component aqueous systems. The new multifunctionalised chitosan derivative (C1) was produced through chemical modification of the primary hydroxyl function of chitosan with EDTAD to introduce carboxylic and tertiary amine functional groups, maintaining the secondary amines on the chitosan surface. Such a transformation was important not only to increase the adsorptive potential of chitosan but also to allow C1 to be used in acidic media, thus solving the problem of solubility of most chitosan derivatives. C1 was characterised by spectroscopic methods. The effects of solution pH, contact time and initial solute concentration on the removal of copper (II) and chromium (VI) by C1 were investigated in aqueous solutions. C1 showed an experimental maximum adsorption capacity of 106 mg/g for copper (II) and 194 mg/g for chromium (VI).

Performance in Irish Selection and Future Performance in Surgical Training

Selection processes for surgical training should aim to identify candidates who will become competent independent practitioners and should aspire to high standards of reliability and validity. To determine the association between measured candidate factors at the time of an Irish selection and assessment outcomes in surgical training, examined via rate of progression to Higher Specialist Training (HST), attrition rates, and performance as assessed through a multimodal framework of workplace-based and simulation-based assessments. This retrospective observational cohort study included data from all successful applicants to the Royal College of Surgeons in Ireland (RCSI) national Core Surgical Training (CST) program. Participants included all trainees recruited to dedicated postgraduate surgical training from 2016 to 2020. These data were analyzed from July 11, 2016, through July 10, 2022. Selection decisions were based on a composite score that was derived from technical aptitude assessments, undergraduate academic performance, and a 4-station multiple mini-interview. Assessment data, attrition rates, and rates of progression to HST were recorded for each trainee. CST performance was assessed using workplace-based and simulation-based technical and nontechnical skill assessments. Potential associations between selection and assessment measures were explored using Pearson correlation, logistic regression, and multiple linear-regression analyses. Data were available for 303 trainees. Composite scores were positively associated with progression to HST (odds ratio [OR], 1.09; 95% CI, 1.05-1.13). There was a weak positive correlation, ranging from 0.23 to 0.34, between scores and performance across all CST assessments. Multivariable linear regression analysis showed technical aptitude scores at application were associated with future operative performance assessment scores, both in the workplace (β = 0.31; 95% CI, 0.14-0.48) and simulated environments (β = 0.57; 95% CI, 0.33-0.81). There was evidence that the interpersonal skills interview station was associated with future performance in simulated communication skill assessments (β = 0.55; 95% CI, 0.22-0.87). In this study, performance at the time of Irish national selection, measured across technical and nontechnical domains in a multimodal fashion, was associated with future performance in the workplace and in simulated environments. Future studies will be required to explore the consequential validity of selection, including potential unintended effects of selection and ranking on candidate performance.

Helical BODIPY Dyes as Heavy-Atom-Free Triplet Photosensitizers for Photodynamic Therapy of Cancer.

Despite of having many advantages over the popular cancer therapies, photodynamic therapy still is not widely acceptable for clinical applications. Scarcity of efficient triplet photosensitizers (PSs) is one of the main bottlenecks for this. Although numerous heavy atom attached PSs are developed as PDT agents, but these are not suitable for clinical applications due to several reasons. Thus, development of heavy-atom-free organic PSs is urgently required. In this context, development of new type of helical BODIPYs as PSs for PDT is discussed. BODIPYs have rich photophysical properties and structural helicity further enhances their triplet conversion rates. This new concept of structural helicity to enhance the triplet conversion of BODIPYs is discussed with reported helical BODIPYs. Helical geometries of these dyes are checked by X-ray crystallography studies and their high triplet conversions as compared to planar BODIPYs are also confirmed. Importantly, these dyes have high triplet lifetimes and are capable of generating high singlet oxygens even in hypoxia condition as compared to conventional heavy atom attached BODIPYs. All these make the helical BODIPYs excellent candidates as PDT agents. Finally, their successful applications as PDT agents in killing of various types of cancer cells are also discussed. The results are encouraging which indicate that helical BODIPYs could be next generation heavy-atom-free PSs for PDT applications.

(127) Is Artificial Intelligence Ready to Help Urologists?

Abstract Introduction ChatGPT is a language model developed by OpenAI. It's a variant of the GPT (Generative Pretrained Transformer) architecture, a transformer-based neural network used for natural language processing tasks. The model has been trained on a massive corpus of text data and can generate human-like responses to topics and questions. ChatGPT can be used for chatbots, conversation agents, and language translation. The integration of AI into urology has the potential to improve patient outcomes, increase efficiency, and reduce costs, ultimately leading to a better healthcare experience for patients. Objective The objective of this study is to assess the current state of artificial intelligence (AI) when it comes to urologic problems and to determine whether it is sufficiently developed and prepared to provide useful assistance to urologists in their clinical practice. This study aims to assess the accuracy, reliability, and potential benefits of one AI language model (ChatGPT) in efficiently answering common patient questions, providing patients with accurate educational information, minimizing patient harm, and guiding patients towards appropriate management. By exhibiting ChatGPT's capabilities and limitations in the context of urology, the study aims to demonstrate how AI can be helpful in everyday urological practices. Methods ChatGPT (chat.openai.com) was presented with typical clinical scenarios and patient questions. Results AI wrote the introduction answering “What is ChatGPT?” and “How can AI help urologists?”. For the conclusion, AI was prompted with “Is artificial intelligence ready to help urologists?”. Figures summarize the answers to common patient questions given by ChatGPT. Conclusions The use of AI in the field of urology is still in its early stages and more research is needed to determine its full potential. However, there have already been some promising developments and successful applications. For example, AI algorithms have been used to accurately diagnose prostate cancer, predict patient outcomes, and improve surgical planning. While AI has the potential to revolutionize the field of urology, it is important to note that AI is not a substitute for human expertise and judgment. AI algorithms can provide valuable insights and assistance, but the ultimate decision making and treatment planning should still be done by experienced urologists. Additionally, it is important to ensure that AI systems are developed and used in a way that respects patient privacy and data security, and that the outcomes of AI-assisted decision making are transparent and explainable. In summary, AI has the potential to greatly benefit the field of urology. Still, it is important to approach its use with caution and continue evaluating its impact as more research is conducted. Disclosure No.

New Horizons in Understanding and Developing Treatments for Human Reproductive Physiology

This comprehensive review delves into the cutting-edge advancements and emerging trends in the field of human reproductive physiology. It aims to shed light on the intricate processes governing human reproduction and the novel therapeutic approaches being developed to address various reproductive health issues. The review begins with a detailed exploration of the fundamental aspects of human reproductive systems, including hormonal regulation, gametogenesis, and the genetic underpinnings of reproductive functions. Significant attention is given to recent breakthroughs in treating infertility, highlighting new findings in both male and female reproductive health. The review discusses the evolution and current state of assisted reproductive technologies (ART), such as IVF, and their increasingly successful application in overcoming infertility. Furthermore, it explores the potential of personalized medicine in tailoring treatments to individual reproductive disorders, considering genetic, environmental, and lifestyle factors. Innovations in contraceptive technologies and their implications for reproductive health management are also examined. The review extends into the realm of reproductive genetics, emphasizing how genomic studies have enhanced our understanding of reproductive disorders and congenital anomalies. Ethical, social, and legal considerations surrounding the latest reproductive technologies are critically analyzed, recognizing the complex interplay between scientific advancements and societal norms. The review concludes by identifying future research directions, underscoring the importance of interdisciplinary approaches in advancing our understanding and treatment of human reproductive physiology. This article serves as a vital resource for researchers, clinicians, and policymakers, offering a comprehensive overview of the current landscape and future prospects in human reproductive health and medicine.

Solar roads – a new potential renewable energy for Great Britain

ABSTRACT Global warming has become a much more realised issue and an immediate threat, accelerating due to the anthropogenic carbon release associated with escalating energy demand. Consequently, pressures are building up to reduce anthropogenic carbon footprint by employing renewable energy resources, among which solar energy is the main. Solar roads are a new and innovative concept as they do not require land to be specifically allocated. This is because the road infrastructure already exists. Therefore, this emerging technique of embedding solar panels into pavements and roadways is becoming a more attractive proposition. However, a hurdle to its successful application is the lack of knowledge regarding its feasibility and viability. This study aims to evaluate the potential of solar roads to inform future feasibility and viability studies in varying contexts and implications. Within the scope of this study, the case of Great Britain is considered to evaluate the potential of how much energy can be generated via the solar roads technology that can be embedded in the country’s road infrastructure. A mathematical exercise is performed in which calculations are executed to develop a basic numerical model of the potential. Therefore, the study is quantitative, and the factors considered include seasonal changes, average daily traffic covering roads, tree and building shades, road types and sizes, solar irradiance, solar panel types, and alike. It is estimated that solar roads may supply up to 96.42% of the UK's total electricity, which is a substantially promising potential.

New perspectives on ‘Breathomics’: metabolomic profiling of non-volatile organic compounds in exhaled breath using DI-FT-ICR-MS

Breath analysis offers tremendous potential for diagnostic approaches, since it allows for easy and non-invasive sample collection. “Breathomics” as one major research field comprehensively analyses the metabolomic profile of exhaled breath providing insights into various (patho)physiological processes. Recent research, however, primarily focuses on volatile compounds. This is the first study that evaluates the non-volatile organic compounds (nVOCs) in breath following an untargeted metabolomic approach. Herein, we developed an innovative method utilizing a filter-based device for metabolite extraction. Breath samples of 101 healthy volunteers (female n = 50) were analysed using DI-FT-ICR-MS and biostatistically evaluated. The characterisation of the non-volatile core breathome identified more than 1100 metabolites including various amino acids, organic and fatty acids and conjugates thereof, carbohydrates as well as diverse hydrophilic and lipophilic nVOCs. The data shows gender-specific differences in metabolic patterns with 570 significant metabolites. Male and female metabolomic profiles of breath were distinguished by a random forest approach with an out-of-bag error of 0.0099. Additionally, the study examines how oral contraceptives and various lifestyle factors, like alcohol consumption, affect the non-volatile breathome. In conclusion, the successful application of a filter-based device combined with metabolomics-analyses delineate a non-volatile breathprint laying the foundation for discovering clinical biomarkers in exhaled breath.

Preresidency research output among US neurological surgery residents.

Research productivity is often used to evaluate candidates for neurosurgery residency. Official annual reports describe the mean total number of research products of successful applicants for each match cycle; however, the average number of indexed publications, the highest-valued research product, is not reported separately from other research products. The primary objectives of this study were to describe the distribution of preresidency indexed publication quantity among successful neurosurgery applicants from 2017 to 2021 and determine whether any change in publication quantity across application cycles existed. Secondary objectives included determining the rate at which the average publication quantity is increasing across application cycles, whether this increase is driven by high-output applicants alone, and if a performance ceiling has been reached. US doctor of medicine seniors applying to the senior author's institution between 2017 and 2021 and who successfully matched into any US neurosurgery program were included. Publication quantities were extracted using Scopus. Additional variables were extracted from residency applications. Mean (SD) and median (IQR) publication quantities were used to describe the distribution and compare across years. Applicants were ranked by descending publication count and divided into quartiles. Averages within each quartile were compared with respective quartiles across years. Averages of the top 10% most productive applicants were compared across years to determine if a performance ceiling existed. Overall, 93.2% of matched applicants were captured. The mean and median total numbers of publications for applicants who matched from 2017 to 2021 were 5.6 ± 8.3 and 3.0 (1.0, 7.0), respectively. The mean and median numbers of publications increased from 3.7 ± 5.3 and 2.0 (0.0, 5.0) in 2016-2017 to 8.1 ± 10.0 and 5.0 (2.0, 11.0) in 2020-2021 (p < 0.001). The distribution of publication quantity was right-skewed. Multivariable analysis determined the application year to be independently and positively correlated with publication quantity (β 1.07 [95% CI 0.71-1.42], p < 0.001). All quartiles observed an increased average number of publications across years (p < 0.001). The mean and median numbers for the top 10% increased from 15.8 ± 8.7 and 13.0 (10.8, 15.5) in 2016-2017, respectively, to 31.3 ± 16.0 and 25.0 (21.0, 35.5) in 2020-2021 (p < 0.001). Indexed publications account for a small portion of the total research products that successful neurosurgery candidates list on applications. A high number of publications is not necessary for candidates to match, with approximately 50% of all applicants who successfully matched having ≤ 5 publications and 25% having ≤ 2 publications. The average preresidency publication quantity has been increasing yearly among neurosurgery applicants. This increase was present across the applicant pool. Additionally, no performance ceiling was observed.

The Advancement and Obstacles in Improving the Stability of Nanocarriers for Precision Drug Delivery in the Field of Nanomedicine.

Nanocarriers have emerged as a promising class of nanoscale materials in the fields of drug delivery and biomedical applications. Their unique properties, such as high surface area- tovolume ratios and enhanced permeability and retention effects, enable targeted delivery of therapeutic agents to specific tissues or cells. However, the inherent instability of nanocarriers poses significant challenges to their successful application. This review highlights the importance of nanocarrier stability in biomedical applications and its impact on biocompatibility, targeted drug delivery, long shelf life, drug delivery performance, therapeutic efficacy, reduced side effects, prolonged circulation time, and targeted delivery. Enhancing nanocarrier stability requires careful design, engineering, and optimization of physical and chemical parameters. Various strategies and cutting-edge techniques employed to improve nanocarrier stability are explored, with a focus on their applications in drug delivery. By understanding the advances and challenges in nanocarrier stability, this review aims to contribute to the development and implementation of nanocarrier- based therapies in clinical settings, advancing the field of nanomedicine.