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Phenolic acids and their analogues in nature exist in many diseases of oxidative stress with beneficial effects on human health (such as cancer). Phenolic acids possess a variety of pharmacological activities, with anti-inflammatory, anticancer and cytotoxic, antioxidant, immunomodulatory, antimicrobial, insecticidal and other biological activities. Numerous in vitro and in vivo studies have shown that because phenolic acids have antioxidant capacity, they can reflect their strong anticancer potential by regulating cell growth and metastasis and promoting cancer cell death. Studies have shown that the consumption of natural polyphenols can significantly reduce the risk of cancer metastasis. A combination of phenolic acids with traditional chemoradiation or other polyphenols may be effective in reducing cancer spread.Ferulic acid is ubiquitous, and widely found in plants, such as angelica, chuanxiong, cohote, three, edge, reed root, tomato, sweet corn, and rice are produced by the metabolism of phenylalanine and tyrosine. It is the most abundant hydroxyl cassia bark-acid acid in the plant kingdom, with anti-inflammatory, antidiabetic, anticancer and antioxidant activity, and polyphenols composed of hydroxyl cassia bark-acid derivatives, flavone-3-alcohol and flavonol retain non-cancer-cells-and-significantly-inhibit glioblastoma viability in a dose-dependent manner, which deserves further investigation as potential anticancer drugs. This paper summarizes the role of ferulic acid in the PI3K / AKT pathway and its mechanism in glioblastoma resistance.

Background: Previous work has demonstrated that residents are able to accurately perceive the intraoperative motivational style of faculty. Additionally, alignment of motivational style between residents and faculty has been demonstrated to enhance resident intraoperative autonomy. This study evaluated if faculty perception of resident behaviors aligned with resident self-perception in order to identify ways of enhancing intraoperative learning., Methods: General surgery residents were asked to complete a self-assessment evaluating their own intraoperative behaviors. Conversely, faculty rated how strongly the residents exhibited these behaviors in the operating room., Results: Of the 10 intraoperative behaviors that were evaluated, eight demonstrated no correlation between resident self-perception and faculty perception of resident behavior. Similarly, inconsistent correlations emerged when behaviors were assessed according to the self-reported gender and race of the resident., Conclusion: Faculty are not able to accurately perceive the motivational style of residents. Strategies to improve faculty perception of resident motivational style may enhance intraoperative learning., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Purpose: To evaluate ChatGPT responses to common questions patients have regarding anterior cruciate ligament (ACL) reconstruction., Methods: Ten frequently asked questions regarding ACL tears and ACL reconstruction were chosen from the frequently asked questions found on the websites of major institutions. These were presented to ChatGPT and responses were rated as "excellent response not requiring clarification," "satisfactory requiring minimal clarification," "satisfactory requiring moderate clarification," or "unsatisfactory requiring substantial clarification.", Results: Four responses were satisfactory, requiring minimal clarification, 3 were satisfactory, requiring moderate clarification, 2 were unsatisfactory, and 1 was excellent, requiring no clarification., Conclusions: As hypothesized, ChatGPT provided generally accurate information to common questions around ACL reconstruction. Although clarification often was needed, responses were satisfactory for providing generalized information about ACL tears and ACL reconstruction., Clinical Relevance: ChatGPT is a promising avenue for patients to learn about general background information regarding ACL reconstruction, although questions specific to any planned operation need to be addressed directly with an orthopaedic provider., Competing Interests: Disclosure The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: J.E.V. reports a relationship with Arthrex that includes: speaking and lecture fees. J.G.C. reports a relationship with Smith & Nephew Inc that includes: speaking and lecture fees. All other authors (L.T.L., M.A.S., J.M.A.) declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Full ICMJE author disclosure forms are available for this article online, as supplementary material., (Copyright © 2023 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.)

The potential association between aluminum-containing deodorants/antiperspirants and breast cancer has been investigated and debated. This paper comprehensively analyzes existing literature to examine the evidence and provide insights into this relationship. This comprehensive review discusses aspects related to the absorption and distribution of aluminum compounds, its effects on the induction of oxidative stress, the estrogenic activity of aluminum, and potential disruption of hormonal pathways, and the potential role in breast cancer induction. Currently, available research, consisting of epidemiological studies as well as clinical trials, together with meta-analyses and previously published reviews conducted on identifying the relationship between aluminum-containing deodorants/antiperspirants and the risk of breast cancer were also analyzed and discussed. Societal factors, personal hygiene considerations, and lifestyle changes contribute to the increased usage of antiperspirants, but they do not establish a direct causal connection with breast cancer. Further research employing larger-scale studies and rigorous methodologies must validate the existing findings and explore the underlying mechanisms involved. Continued multidisciplinary research efforts and collaboration between researchers, regulatory bodies, and public health authorities are vital to developing a more definitive understanding of this complex topic., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: The total number of spine surgeries per year and their related deaths in Japan has not been adequately estimated in the literature., Methods: We retrospectively reviewed the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) between April 2014 to March 2021, which covers 99.9 % of health insurance claim receipts by general practitioners. The annual number of surgeries was counted using K codes, a procedure classification unique to Japan, and classified into the following six categories; percutaneous vertebroplasty, endoscopic surgery, open discectomy, laminoplasty/laminectomy, instrumentation surgery, and others. The data distribution was also summarized by sex and age. Additionally, by reviewing DPC database-related papers for evaluation of the mortality rate after spine surgery in Japan, the number of spine surgery-related deaths was calculated., Results: The NDB showed that the number of spine surgeries analyzed in this study increased from 170,081 in 2014 to 193,903 in 2019, with a slight decrease in 2020. The ratio of instrumentation surgery increased from 33.0 % in 2014 to 37.9 % in 2020. The rate of patients aged 75 or older increased 31.6 % to 39.6 %. Combining these findings with DPC data showing a mortality rate of 0.1 % to 0.4 % revealed that the estimated number of deaths related to spine surgery in Japan ranged from 200 to 800 per year., Conclusions: Approximately 200,000 spine surgeries and 200 to 800 spine surgery-related inpatient deaths were estimated to have occurred in Japan around 2020., Competing Interests: Declaration of competing interest No benefits in any form have been or will be received from a commercial party related directly to the subject of this manuscript. KY accepted payment or honoraria for lectures or educational events from the following; Johnson & Johnson KK, Pfizer Japan, 3 M Japan, Stryker Japan, Taisho Toyama Pharmaceutical, MSD KK, Hisamitsu Pharmaceutical, Asterllas Pharma Inc., DAIICHI SANKYO Company. The manuscript submitted does not contain information about medical device (s)/drug (s)., (Copyright © 2023 The Japanese Orthopaedic Association. Published by Elsevier B.V. All rights reserved.)

Background: Prostate cancer (PC) is the second most common cancer in men worldwide. It's the second leading cause cancer men in death. Prognostic tests based on molecular and biomarker analysis of tumor tissue may improve risk stratification of prostate cancer 2., Materials and Methods: After a search on Pubmed for PC biomarkers, 72 papers responded to the objectives and will be included in the review., Results: A plethora of biomarkers are predictive for the prognosis of PC and its response to certain therapies, while others, once thought to be indicative of prognosis in PC, were not., Conclusions: This study can help in the development of diagnostic and prognostic tests of PC and contribute to the ongoing research into already existing tests.

Artificial intelligence (AI) has truly revolutionized many fields, including healthcare. In radiation oncology, AI has emerged as a powerful tool for improving the speed, accuracy and overall quality of radiotherapy treatments. The radiotherapy workflow involves complex processes that require coordination between healthcare professionals with diverse skills. AI and deep learning methods offer unprecedented potential to transform this workflow by leveraging imaging modalities, digital data processing and advanced software algorithms. Despite the revolutionary potential, challenges remain in seamlessly integrating AI into clinical workflows. Ethical considerations, data privacy, and algorithm interpretability necessitate cautious implementation. Additionally, fostering interdisciplinary collaboration between AI experts and radiation oncologists is imperative to harness the technology's full potential. This paper explores the impact of AI in four key areas of radiotherapy: automated segmentation, dosimetric and machine quality assurance, adaptive radiation therapy, and clinical outcome prediction. Key words: Artificial intelligence, Radiotherapy, Workflow, Accuracy, cancer ,machine-learning.

POEMS Syndrome is a constellation of findings including Polyneuropathy, Organomegaly, Endocrinopathy, Monoclonal plasma cell disorder, and Skin changes. Calciphylaxis, a microangiopathy involving vascular calcification and thrombotic occlusions, occurs rarely in POEMS. We present a case of prominent calciphylaxis that antedated the diagnosis of POEMS. The patient presented with extensive ecchymoses progressing to necrotic lesions in the setting of acute renal injury. Previously, she had chronic slowly progressive polyneuropathy, splenomegaly, hypothyroidism, amenorrhea, and ascites. Calciphylaxis was diagnosed on skin biopsy, and POEMS was diagnosed based upon clinical findings plus a bone marrow biopsy showing 15% lambda chain restricted plasma cells. Treatment for the calciphylaxis was supportive with fluids, tissue debridement, wound vacuum devices and antibiotics for secondary infection. Myeloma was treated with bortezomib and steroids. All aspects of the patient's manifestations improved. We conclude that calciphylaxis can be a prominent feature of POEMS and can appear prior to recognition of the full-blown syndrome., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Through a series of empirical studies involving native speakers of English, German, and Chinese, this paper reveals that the predicate "true" is inherently ambiguous in the empirical domain. Truth statements such as "It is true that Tom is at the party" seem to be ambivalent between two readings. On the first reading, the statement means "Reality is such that Tom is at the party." On the second reading, the statement means "According to what X believes, Tom is at the party." While there appear to exist some cross-cultural differences in the interpretation of the statements, the overall findings robustly indicate that "true" has multiple meanings in the realm of empirical matters., (© The Author(s) 2024.)

This paper discusses the idea of community data that was introduced in the Non-Personal Data framework in India. Our interest is to engage with existing commentaries on the definitional challenges around who is a community, how it is constituted, who it represents, as well as propose a framework to be able to explore how to address concerns of access to justice. In our attempt to offer a model to operationalise community data, we argue that such community data justice includes three crucial aspects, that is, the identification of belonging with a community, the capacity to participate within a community, and finally opportunity to exit the community. Consequently, justice in terms of access to, and use of community data inherently includes an analysis of the individual's standing in the community., Competing Interests: Competing InterestsNot applicable., (© The Author(s) 2024.)

Cancer provokes systemic diseases through three possible mechanisms: 1) Distal metastasis in multiple tissues and organs, which directly causes functional damage and impairment of involved organs; 2) Paraneoplastic syndrome (PNS) that affects multiple organ systems, including the endocrine, gastrointestinal, hematologic, neurologic, dermatologic, and ophthalmologic systems; and 3) Cancer cachexia (CCA) or self-wasting syndrome characterized by anorexia, progressive bodyweight loss, adipose atrophy, and muscle atrophy. While cancer metastasis has received considerable attention for comprehensive research, PNS and CCA remain relatively overlooked. At the time of this writing, effective treatments of PNS and CCA in human cancer patients are lacking. This review focuses on discussing mechanistic insights into PNA and CCA and current advances in development of new possible therapeutic interventions., Competing Interests: Competing interestsAuthor Yihai Cao is a member of the Editorial Board for Holistic Integrative Oncology. The paper was handled by the other Editor and has undergone rigorous peer review process. Author Yihai Cao was not involved in the journal's peer review of or decisions related to, this manuscript., (© The Author(s) 2024.)

Background: There are established sex-specific differences in heart failure with reduced ejection fraction (HFrEF) outcomes. Randomized clinical trials (RCTs) based on cardiovascular outcome benefits, typically either reduced cardiovascular mortality or hospitalization for heart failure (HHF), influence current guidelines for therapy., Objectives: The authors evaluate the representation of women in HFrEF RCTs that observed reduced all-cause or cardiovascular mortality or HHF., Methods: We queried Cumulative Index to Nursing and Allied Health Literature, Excerpta Medica dataBASE, Medical Literature Analysis and Retrieval System Online, and PubMed for HFrEF RCTs that reported a statistically significant benefit of intervention resulting in improved mortality or HHF published from 1980 to 2021. We estimated representation using the participation-to-prevalence ratio (PPR). A PPR of 0.8 to 1.2 was considered representative., Results: The final analysis included 33 RCTs. Women represented only 23.2% of all enrolled participants (n = 24,366/104,972), ranging from 11.4% to 40.1% per trial. Overall PPR was 0.58, with per-trial PPR estimates ranging from 0.29 to 1.00. Only 5 trials (15.2%) had a PPR of women representative of the disease population. Representation did not change significantly over time. The proportion of women in North American trials was significantly greater than trials conducted in Europe ( P = 0.03). The proportion of women was greater in industry trials compared to government-funded trials ( P = 0.05)., Conclusions: Women are underrepresented in HFrEF RCTs that have demonstrated mortality or HHF benefits and influence current guidelines. Representation is key to further delineation of sex-specific differences in major trial results. Sustained efforts are warranted to ensure equitable and appropriate inclusion of women in HFrEF trials., Competing Interests: All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Animal models utilizing predator odor stress are important in understanding implications for post-traumatic stress disorder. 2,5-dihydro-2,4,5-trimethylthiazoline (TMT) has been used to measure stress reactive behaviors during TMT exposure, indicative of stress coping behaviors. In addition, long-term consequences of stress including contextual-induced stress memory, anxiety-like and hyperarousal behaviors, and subsequent increases in alcohol self-administration can also be examined after TMT exposure. In this article, we describe the TMT exposure protocol used in our lab and how we measure different stress-reactive behaviors that rats engage in during the TMT exposure. Rats are placed in Plexiglass chambers that contain white bedding on the bottom of the chamber and a metal basket in the top right corner containing a filter paper that 10 µl of TMT is pipetted onto. During the 10 min exposure, rats can move around the chamber freely. Exposures are recorded by a video camera for later analysis. During TMT exposure, rats engage in a variety of stress-reactive behaviors, including digging and immobility behavior. These are two distinctly different types of stress-induced behavioral coping strategies to measure individual differences in stress responsivity. To examine individual differences, we group rats into TMT-subgroups based on time spent engaging in digging or immobility behavior. We calculate a digging/immobility ratio score in which we divide the total time spent digging by the total time spent immobile. A cut-off strategy is used such that rats with a criterion ratio score <1.0 are classified as TMT-1 (i.e., low digging/high immobility; greater passive coping) and rats with a ratio score >1.0 are classified as TMT-2 (i.e., high digging/low immobility; greater active coping). Here, we provide a detailed description of the TMT exposure protocol and step-by-step process in evaluation of stress-reactive behaviors. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Predator odor stressor exposure using TMT Basic Protocol 2: Description of stress-reactive behaviors during TMT exposure and formation of TMT-subgroups., (© 2024 Wiley Periodicals LLC.)

Inference of source levels for ambient ocean sound from local wind at the sea surface requires an assumption about the nature of the sound source. Depending upon the assumptions made about the nature of the sound source, whether monopole or dipole distributions, the estimated source levels from different research groups are different by several decibels over the frequency band 10-350 Hz. This paper revisits the research issues of source level of local wind-generated sound and shows that the differences in estimated source levels can be understood through a simple analysis of the source assumptions., (© 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).)

This paper shows that a highly simplified model of speech production based on the optimization of articulatory effort versus intelligibility can account for some observed articulatory consequences of signal-to-noise ratio. Simulations of static vowels in the presence of various background noise levels show that the model predicts articulatory and acoustic modifications of the type observed in Lombard speech. These features were obtained only when the constraint applied to articulatory effort decreases as the level of background noise increases. These results support the hypothesis that Lombard speech is listener oriented and speakers adapt their articulation in noisy environments., (© 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).)

Background: Fathers of children and youth with special healthcare needs (FCYSHCN) are an overlooked population at risk for chronic stress. Mind-body practices offer a patient-centered approach to foster coping and resiliency, yet low engagement from fathers in existing programs suggests adaptation is needed. This multiphase study examines the feasibility of a synchronous, virtual mind-body intervention adapted for FCYSHCN., Methods: 31 FCYSHCN were recruited online via community partners and recruitment portals in an academic medical center in Boston, MA. Phase 1 consisted of individual interviews (N = 17) to determine fathers' stressors, coping strategies, program needs, and suggested adaptations to the intervention protocol. The Phase 2 single arm pilot feasibility trial (N = 14) consisted of eight weekly 60-minute group sessions delivered virtually. Primary feasibility metrics were attendance (benchmark: mean=6 sessions) and electronic survey completion at baseline and post-intervention. Acceptability was assessed using post-session ratings of program satisfaction (4-point Likert scale; scores ≥3 coded as helpful) and helpfulness (e.g., group structure). Exploratory outcomes included validated measures of stress coping, resiliency, parental stress, depression, anxiety, which were analyzed using paired-samples t-tests (alpha=.05) to generate effect sizes (η2)., Results: In Phase 1, FCYSHCN discussed primary stressors (e.g., perceived inadequacy as a father) and multifaceted impacts of these stressors on physical, cognitive, emotional, and social wellbeing. Fathers also described coping strategies deemed helpful (e.g., humor) and unhelpful (e.g., "shutting down" from others). Qualitative findings informed intervention modifications. In Phase 2, most FCYSHCN (79%) attended ≥ 6 intervention sessions (mean=7). Follow-up survey completion was high (86%). Session satisfaction was high, with 7/8 sessions rated as helpful by most fathers. Program components deemed most helpful were the group structure, virtual delivery, exposure to a variety of relaxation and meditation skills, and the length of sessions. Although we were not powered to observe pre-post change, stress coping improved (p = .02, η2 = 0.42) and confidence increased in applying relaxation (p = .04, η2 = 0.34) and assertiveness techniques (p = .05, η2 = 0.31)., Conclusions: The first mind-body resiliency program for FCYSHCN is feasible and acceptable. Further testing is warranted in randomized trials with diverse samples of fathers, an appropriate comparison arm, and longitudinal assessments of psychosocial and biobehavioral outcomes., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Deep learning models perform remarkably well on many classification tasks recently. The superior performance of deep neural networks relies on the large number of training data, which at the same time must have an equal class distribution in order to be efficient. However, in most real-world applications, the labeled data may be limited with high imbalance ratios among the classes, and thus, the learning process of most classification algorithms is adversely affected resulting in unstable predictions and low performance. Three main categories of approaches address the problem of imbalanced learning, i.e., data-level, algorithmic level, and hybrid methods, which combine the two aforementioned approaches. Data generative methods are typically based on generative adversarial networks, which require significant amounts of data, while model-level methods entail extensive domain expert knowledge to craft the learning objectives, thereby being less accessible for users without such knowledge. Moreover, the vast majority of these approaches are designed and applied to imaging applications, less to time series, and extremely rare to both of them. To address the above issues, we introduce GENDA, a generative neighborhood-based deep autoencoder, which is simple yet effective in its design and can be successfully applied to both image and time-series data. GENDA is based on learning latent representations that rely on the neighboring embedding space of the samples. Extensive experiments, conducted on a variety of widely-used real datasets demonstrate the efficacy of the proposed method., Impact Statement—: Imbalanced data classification is an actual and important issue in many real-world learning applications hampering most classification tasks. Fraud detection, biomedical imaging categorizing healthy people versus patients, and object detection are some indicative domains with an economic, social and technological impact, which are greatly affected by inherent imbalanced data distribution. However, the majority of the existing algorithms that address the imbalanced classification problem are designed with a particular application in mind, and thus they can be used with specific datasets and even hyperparameters. The generative model introduced in this paper overcomes this limitation and produces improved results for a large class of imaging and time series data even under severe imbalance ratios, making it quite competitive.

This paper investigates a specific case of one of the most popular fluid dynamic simulations, the incompressible flow around an airfoil (NACA 0012 here) at a high Reynolds number ( 6 × 10 6 ). OpenFOAM software was used to study the effect of domain size and four common choices of boundary conditions on airfoil lift, drag, surface friction, and pressure. We also examine the relation between boundary conditions and the velocity, pressure, and vorticity distributions throughout the domain. In addition to the common boundary conditions, we implement the "point vortex" boundary condition that was introduced many years ago but is now rarely used. We also applied the point vortex condition for the outlet pressure instead of using the traditional Neumann condition. With the airfoil generating significant lift at incidence angles of 5 ∘ , 10 ∘ , and 14 ∘ , we confirm a previous finding that the boundary conditions combine with domain size to produce an induced (pressure) drag. The change in the pressure drag with domain size is significant for the commonly-used boundary conditions but is much smaller for the point vortex alternative. The point vortex boundary condition increases the execution time, but this is more than offset by the reduction in domain size needed to achieve a specified accuracy in the lift and drag. This study also estimates the error in total drag and lift due to domain size and shows it can be almost eliminated using the point vortex boundary condition. We also used the impulse form of the momentum equations to study the relation between drag and lift and spurious vorticity, which is generated as a result of using non-exact boundary conditions. These equations reveal that the spurious vorticity throughout the domain is associated with cancelling circulation around the domain boundaries., Competing Interests: Competing interestsThe authors declare that they have no competing interests., (© The Author(s) 2024.)

One strategy to reduce CO 2 emissions from cement production is to reduce the amount of Portland cement produced by replacing it with supplementary cementitious materials (SCMs). Biochar is a potential SCM that is an eco-friendly and stable porous pyrolytic material. However, the effects of biochar addition on the performances of Portland cement composites are not fully understood. This meta-analysis investigated the impact of biochar addition on the 7- and 28-day compressive strength of Portland cement composites based on 606 paired observations. Biochar feedstock type, pyrolysis conditions, pre-treatments and modifications, biochar dosage, and curing type all influenced the compressive strength of Portland cement composites. Biochars obtained from plant-based feedstocks (except rice and hardwood) improved the 28-day compressive strength of Portland cement composites by 3-13%. Biochars produced at pyrolysis temperatures higher than 450 °C, with a heating rate of around 10 C min -1 , increased the 28-day compressive strength more effectively. Furthermore, the addition of biochar with small particle sizes increased the compressive strength of Portland cement composites by 2-7% compared to those without biochar addition. Biochar dosage of < 2.5% of the binder weight enhanced both compressive strengths, and common curing methods maintained the effect of biochar addition. However, when mixing the cement, adding fine and coarse aggregates such as sand and gravel affects the concrete and mortar's compressive strength, diminishing the effect of biochar addition and making the biochar effect nonsignificant. We concluded that appropriate biochar addition could maintain or enhance the mechanical performance of Portland cement composites, and future research should explore the mechanisms of biochar effects on the performance of cement composites., Supplementary Information: The online version contains supplementary material available at 10.1007/s42773-024-00309-2., Competing Interests: Competing interestsThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© The Author(s) 2024.)

Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing diagnosis, quantification, and management of multiple medical conditions. Nevertheless, the ever-growing availability of AI tools in radiology highlights an increasing need to critically evaluate claims for its utility and to differentiate safe product offerings from potentially harmful, or fundamentally unhelpful ones. This multi-society paper, presenting the views of Radiology Societies in the USA, Canada, Europe, Australia, and New Zealand, defines the potential practical problems and ethical issues surrounding the incorporation of AI into radiological practice. In addition to delineating the main points of concern that developers, regulators, and purchasers of AI tools should consider prior to their introduction into clinical practice, this statement also suggests methods to monitor their stability and safety in clinical use, and their suitability for possible autonomous function. This statement is intended to serve as a useful summary of the practical issues which should be considered by all parties involved in the development of radiology AI resources, and their implementation as clinical tools. This article is simultaneously published in Insights into Imaging (DOI 10.1186/s13244-023-01541-3), Journal of Medical Imaging and Radiation Oncology (DOI 10.1111/1754-9485.13612), Canadian Association of Radiologists Journal (DOI 10.1177/08465371231222229), Journal of the American College of Radiology (DOI 10.1016/j.jacr.2023.12.005), and Radiology: Artificial Intelligence (DOI 10.1148/ryai.230513). Keywords: Artificial Intelligence, Radiology, Automation, Machine Learning Published under a CC BY 4.0 license. ©The Author(s) 2024. Editor's Note: The RSNA Board of Directors has endorsed this article. It has not undergone review or editing by this journal.

Background & Aims: Individuals with obesity may develop intrapancreatic fat deposition (IPFD) and fatty pancreas disease (FPD). Whether this causes inflammation and fibrosis and leads to pancreatic dysfunction is less established than for liver damage in metabolic dysfunction-associated steatotic liver disease (MASLD). Moreover, the interrelations of FPD and MASLD are poorly understood. Therefore, we aimed to assess IPFD and fibro-inflammation in relation to pancreatic function and liver disease severity in individuals with MASLD., Methods: Seventy-six participants from the Amsterdam MASLD-MASH cohort (ANCHOR) study underwent liver biopsy and multiparametric MRI of the liver and pancreas, consisting of proton-density fat fraction sequences, T1 mapping and intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI)., Results: The prevalence of FPD was 37.3%. There was a clear correlation between pancreatic T1 relaxation time, which indicates fibro-inflammation, and parameters of glycemic dysregulation, namely HbA1c ( R  = 0.59; p < 0.001), fasting glucose ( R  = 0.51; p < 0.001) and the presence of type 2 diabetes (mean 802.0 ms vs . 733.6 ms; p < 0.05). In contrast, there was no relation between IPFD and hepatic fat content ( R  = 0.03; p  = 0.80). Pancreatic IVIM diffusion (IVIM-D) was lower in advanced liver fibrosis ( p < 0.05) and pancreatic perfusion (IVIM- f ), reflecting vessel density, inversely correlated to histological MASLD activity ( p < 0.05)., Conclusions: Consistent relations exist between pancreatic fibro-inflammation on MRI and endocrine function in individuals with MASLD. However, despite shared dysmetabolic drivers, our study suggests IPFD is a separate pathophysiological process from MASLD., Impact and Implications: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease worldwide and 68% of people with type 2 diabetes have MASLD. However, fat infiltration and inflammation in the pancreas are understudied in individuals with MASLD. In this cross-sectional MRI study, we found no relationship between fat accumulation in the pancreas and liver in a cohort of patients with MASLD. However, our results show that inflammatory and fibrotic processes in the pancreas may be interrelated to features of type 2 diabetes and to the severity of liver disease in patients with MASLD. Overall, the results suggest that pancreatic endocrine dysfunction in individuals with MASLD may be more related to glucotoxicity than to lipotoxicity., Clinical Trial Number: NTR7191 (Dutch Trial Register)., Competing Interests: ES is employed by Perspectum Ltd., who provided some of the MRI protocols used for the multiparametric MRI data reported in this paper. All other authors declare no conflicts of interest. Please refer to the accompanying ICMJE disclosure forms for further details., (© 2024 The Authors.)

Staphylococcus aureus can readily form biofilm which enhances the drug-resistance, resulting in life-threatening infections involving different organs. Biofilm formation occurs due to a series of developmental events including bacterial adhesion, aggregation, biofilm maturation, and dispersion, which are controlled by multiple regulatory systems. Rapidly increasing research and development outcomes on natural products targeting S. aureus biofilm formation and/or regulation led to an emergent application of active phytochemicals and combinations. This review aimed at providing an in-depth understanding of biofilm formation and regulation mechanisms for S. aureus , outlining the most important antibiofilm strategies and potential targets of natural products, and summarizing the latest progress in combating S. aureus biofilm with plant-derived natural products. These findings provided further evidence for novel antibiofilm drugs research and clinical therapies., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Phospholipase D3 (PLD3) and D4 (PLD4) are endolysosomal exonucleases of ssDNA and ssRNA that regulate innate immunity. Polymorphisms of these enzymes are correlated with numerous human diseases, including Alzheimer's, rheumatoid arthritis, and systemic sclerosis. Pharmacological modulation of these immunoregulatory proteins may yield novel immunotherapies and adjuvants. A previous study reported a high-throughput screen ( N = 17,952) that discovered a PLD3-selective activator and inhibitor, as well as a nonselective inhibitor, but failed to identify selective modulators of PLD4. However, modulators selective for PLD4 are therapeutically pertinent, since recent reports have shown that regulating this protein has direct implications in cancer and autoimmune diseases. Furthermore, the high expression of PLD4 in dendritic and myeloid cells, in comparison to the broader expression of PLD3, presents the opportunity for a cell-targeted immunotherapy. Here, we describe screening of an expended diversity library ( N = 45,760) with an improved platform and report the discovery of one inhibitor and three activators selective for PLD4. Furthermore, kinetic modeling and structural analysis suggest mechanistic differences in the modulation of these hits. These findings further establish the utility of this screening platform and provide a set of chemical scaffolds to guide future small-molecule development for this novel immunoregulator target., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Background: Cancer is most commonly associated with aging. It is necessary to gain a better understanding of cancer's trend and distribution among elderlies and provide comprehensive cancer care for this population., Aims: The aim of the current study was to show the trends in cancer incidence focusing on the population aged 60+ from 1990 to 2016 in Iran., Material and Results: We used the dataset of the Iran Cancer Registry to estimate cancer incidences by sex, age, province, and year. In order to account for incomplete data we used a two-stage spatiotemporal model along with random intercept mixed effect models. We calculated annual age-standardized incidence rates (ASIRs) for age groups 60+ and 5-interval age groups. There was an increasing trend of 25.3% to 936.9% (95% uncertainty interval: 769.6-1141.8) in ASIR in the elderly in 2016. ASIR of all cancers were 889.7 (731.3-1083.6) in women and 988.1 (811.1-1205) in men in 2016, per 100 000 respectively, which had an increasing trend comparing 1990. Skin, breast, and stomach cancers in women and prostate, skin, and stomach cancers in men were the most common types in 2016. All the most incident cancer subtypes underwent an increasing trend in both sexes, except for the bladder, esophageal, and skin cancers which almost had a similar level in 1990 and 2016. Most provinces had an increasing trend in ASIR in all cancers combined from 1990 to 2016 except Zanjan with a decreasing trend., Conclusion: Regarding the persistent increasing trend of most elderly cancers' incidence, this is crucial for policymakers to establish preventive plans, determine proper resource allocation, and develop specific treatments for elderly cancer patients., (© 2023 The Authors. Cancer Reports published by Wiley Periodicals LLC.)

The recent rise of powerful large language model (LLM)-based AI tools, exemplified by ChatGPT and Bard, poses a great challenge to contemporary dental education. It simultaneously offers a unique resource that potentially complements today's teaching and learning, where existing widely available learning resources have often fallen short. Although the LLM tools will shape both the clinical and educational aspects of dentistry profoundly, the didactic curricula, which primarily rely on lecture-based courses where instructors impart knowledge through presentations and discussions, need to be upgraded urgently. In this paper, we used dental course materials, syllabi, and textbooks adopted currently in the School of Dentistry (SOD) at Meharry Medical College to assess the potential utility and effectiveness of ChatGPT in dental education. We collected the responses of the chatbot to questions as well as students' interactions with it for assessment. Our results showed that ChatGPT can assist in dental essay writing and generate relevant content for dental students, in addition to other benefits. The limitations of ChatGPT were also discussed in the paper.

Oral health plays a crucial role in overall well-being. One of the goals set by the US Department of Health and Human Service, Healthy People 2030 is to reducing dental caries in children and adolescents. The study aims to investigate the accessibility of pediatric dental care in neighborhoods with mixed-race and predominantly African American populations in the Washington District of Columbia (DC) area. Our objective is to uncover and highlight the disparities that exist in pediatric dental care within these communities. We have specifically examined the geographic and socio-demographic aspects of pediatric dental care facilities, utilizing geospatial tools such as modeling and mapping, as well as data from the clinical database at Howard University College of Dentistry. The detailed analysis of dental care access revealed significant disparities among various Wards in the region. Specifically, Wards 5, 7, and 8 stood out as having both the highest concentrations of African American residents and the lowest availability of pediatric dentistry providers when compared to the more affluent Wards 1, 2, and 3. Howard University College of Dentistry's pediatric dentistry department played a crucial role in providing dental care services to the community. Over the course of the year 2022, they recorded a total of 3,855 visits from residents of the DC area. Notably, a substantial portion of these visits, specifically 1,566 visits, were from individuals residing in Wards 5, 7 and 8. This data underscores the significant demand for pediatric dental services in these underserved communities and highlights the importance of addressing the disparities in access to care., Competing Interests: Conflict of interest The authors declare that they have no competing financial interests or personal relationships that may have an influence on the work reported in this paper.

Introduction: ANGPTLs (Angiopoietin-like proteins) 3 and 4 play an important role in the development of type 2 diabetes. These glycoproteins affect the modulation of glucose and lipid metabolism. They inhibit lipoprotein lipase (LPL) activity and provoke lipolysis. This study was aimed to investigate the protein levels of ANGPTL3 and 4 in the serum of type 2 diabetic patients with metabolic syndrome in comparison to the type 2 diabetic patients without metabolic syndrome and the control group., Methods: Three groups of individuals were included in this study; Group I: 47 patients with type 2 diabetes and metabolic syndrome; Group II: 25 patients with type 2 diabetes without metabolic syndrome; Group III: 40 non-diabetic healthy people without metabolic syndrome as a control group. After collection of 5 mL fasting blood samples, serum concentrations of fasting blood sugar (FBS), cholesterol (Chol), triglyceride (TG), HDL-C (High-density lipoprotein-Cholesterol) and LDL-C (Low-density lipoprotein-Cholesterol) were measured by the enzymatic method; blood pressure (BP), height and weight with stadiometers; and ANGPTL3 and 4 by the enzyme-linked immunosorbent assay (ELISA)., Results: The serum levels of ANGPTL3 was significantly different among our three groups (p = .000). In patients with type 2 diabetes and metabolic syndrome (Group I), ANGPTL3 and 4 levels were lower than the control group. The serum levels of the parameters evaluated in this study (except HDL-C) was lower in the group II in comparison with the group I, and this difference was significant for TG, Chol, BP and BMI between these two groups. Also, our results revealed that there was a negative correlation between FBS, TG, Chol, LDL-C and BMI with ANGPTL3 and 4. While, there was a significant positive correlation between ANGPTL4 and ANGPTL3., Conclusion: Altogether, our findings suggest that the decreased levels of ANGPTL3 and 4 may be a causative factor for type 2 diabetes., (© 2023 The Authors. Endocrinology, Diabetes & Metabolism published by John Wiley & Sons Ltd.)

Over the past two decades, there has been an increased focus on designing STEM learning experiences for primary and second-level students. We posit that for teachers to design rich learning experiences for their students, they must first have the opportunity to develop their own STEM knowledge and competences, either during their pre-service teacher education or as part of their professional learning as in-service teachers. This systematic review of literature examines programmes which offer either pre-service or in-service teachers immersive learning experiences through placements in STEM roles in business or industry. A total of nine papers were identified in this review, featuring three unique programmes-one in the UK for pre-service teachers, and two in the USA involving in-service teachers. The findings indicate a variation in motivation and structures across the three programmes. The influence on teachers' personal and professional development, and their intentions to change their classroom practices or behaviours to incorporate more 'real-world' contexts into their STEM learning activities, inspired by their experiences in industry, is discussed. This study presents recommendations for the design and implementation of immersive learning placements in industry to support STEM teacher professional learning, as well as suggestions for further studies to examine the influence on their classroom practice., (© The Author(s) 2023.)