Precise Criteria Research Articles

A coupled scaled boundary finite element and phase-field algorithm for seismic loading

Seismic-induced damage, integral to the safety evaluations of major engineering projects, persists as a key focus of research worldwide. Based on the Scaled Boundary Finite Element Method (SBFEM) and the Phase-Field Method (PFM), a coupled algorithm tailored for reciprocal loading was introduced in this paper, integrating strategies including "closure constraints," "numerical threshold strategy," and "subdomain block integration." Adopting object-oriented principles, a universal coupling solution framework has been built and seamlessly embedded within GEODYNA, a self-developed finite element software system. The accuracy was validated through rigorous benchmark tests. The entire process of crack initiation, propagation, and dynamic opening-closing cycles in the Koyna concrete gravity dam was reproduced. Furthermore, the effect of mesh size and computational timestep on the structural seismic response, crack localization, and the extent of damage in the dam were explored. The outcomes demonstrated that the SBFEM-PFM coupling algorithm performs effectively and meets the engineering precision criteria for seismic evaluations and reinforcement analyses of crucial structures.

Effects of Electroacupuncture at Varied Frequencies on Analgesia and Mechanisms in Sciatic Nerve Cuffing-Induced Neuropathic Pain Mice

Addressing the intricate challenge of chronic neuropathic pain has significant implications for the physical and psychological well-being of patients, given its enduring nature. In contrast to opioids, electroacupuncture (EA) may potentially provide a safer and more efficacious therapeutic alternative. Our objective is to investigate the distinct analgesic effects and potential mechanisms of EA at frequencies of 2 Hz, 100 Hz, and 18 kHz in order to establish more precise frequency selection criteria for clinical interventions. Analgesic efficacy was evaluated through the measurement of mice’s mechanical and thermal pain thresholds. Spinal cord inflammatory cytokines and neuropeptides were quantified via Quantitative Real-time PCR (qRT-PCR), Western blot, and immunofluorescence. Additionally, RNA sequencing (RNA-Seq) was conducted on the spinal cord from mice in the 18 kHz EA group for comprehensive transcriptomic analysis. The analgesic effect of EA on neuropathic pain in mice was frequency-dependent. Stimulation at 18 kHz provided superior and prolonged relief compared to 2 Hz and 100 Hz. Our research suggests that EA at frequencies of 2 Hz, 100 Hz, and 18 kHz significantly reduce the release of inflammatory cytokines. The analgesic effects of 2 Hz and 100 Hz stimulation are due to frequency-dependent regulation of opioid release in the spinal cord. Furthermore, 18 kHz stimulation has been shown to reduce spinal neuronal excitability by modulating the serotonergic pathway and downstream receptors in the spinal cord to alleviate neuropathic pain.

Reclassification of urinary cytology according to The Paris System for Reporting Urinary Cytology correlation with histological diagnosis.

The Paris System for Reporting Urinary Cytology (TPS) was designed to provide precise diagnostic criteria when evaluating urine cytology and standardize the terminology used in reporting. In our study, we have aimed to determine the effect of TPS on the diagnostic performance of urine cytology, its impact on establishing appropriate risk stratification, and its effectiveness in the diagnosis and follow-up of the patients. We re-evaluated 200 liquid-based urine cytologies with available histologic diagnoses reported between 2015 and 2021 according to TPS criteria and compared them with the original cytological diagnoses. Area under the curve, sensitivity, specificity and diagnostic accuracy of both methods were calculated and statistically analyzed to determine the diagnostic performance of the original reporting and TPS. The sensitivity, specificity, positive predictive, negative predictive and diagnostic accuracy rates of TPS were 60%, 99.3%, 97.2%, 97.2%, 85.7% and 87.2%, respectively. The malignancy risks for negative for high-grade urothelial carcinoma atypical urothelial cells, suspicious for high-grade urothelial carcinoma and high-grade urothelial carcinoma (HGUC) according to TPS criteria were 3.5%, 20.9%, 60.8%, 97.2%, respectively. In the original reporting, the corresponding risks were 13.4%, 15%, 52%,100%, respectively. A statistically significant difference was observed between diagnostic criteria of original cytology and TPS (p=0.001). When the original reporting was compared with the TPS, the discriminative power of TPS in the diagnosis of HGUC was significantly higher (p<0.001). The use of TPS provided a more accurate risk stratification of patients. The diagnostic performance of urine cytology was improved, especially for HGUC.

What if string theory has a de Sitter excited state?

We propose precise effective field theory criteria to obtain a four-dimensional de Sitter space within M-theory. To this effect, starting with the state space described by the action of metric perturbations, fluxes etc over the supersymmetric Minkowski vacuum in eleven-dimensions, we discuss the most general low energy effective action in terms of the eleven-dimensional fields including non-perturbative and non-local terms. Given this, our criteria to obtain a valid four-dimensional de Sitter solution at far IR involve satisfying the Schwinger-Dyson equations of the associated path integral, as well as obeying positivity constraints on the dual IIA string coupling and its time derivative. For excited states, the Schwinger-Dyson equations imply an effective emergent potential different from the original potential. We show that while vacuum solutions and arbitrary coherent states fail to satisfy these criteria, a specific class of excited states called the Glauber-Sudarshan states obey them. Using the resurgent structure of observables computed using the path integral over the Glauber-Sudarshan states, four-dimensional de Sitter in the flat slicing can be constructed using a Glauber-Sudarshan state in M-theory.Among other novel results, we discuss the smallness of the positive cosmological constant, including the curious case where the cosmological constant is very slowly varying with time. We also discuss the resolution of identity with the Glauber-Sudarshan states, generation and the convergence properties of the non-perturbative and the non-local effects, the problems with the static patch and other related topics. We analyze briefly the issues related to the compatibility of the Wilsonian effective action with Borel resummations and discuss how they influence the effective field theory description in a four-dimensional de Sitter space.

Finding Free OER Textbooks Online: Untangling the Web

Although Open Educational Resources (OERs) can help reduce costs and maximize access to instructional materials, academics face significant problems in identifying good OER textbooks. This can be traced, in part, to the low quality of many OER directories. This study evaluated more than 350 potentially relevant resources, identifying 95 multidisciplinary and 23 subject-limited OER directories that include a relatively high proportion of free textbooks rather than other OERs (syllabi, assessment materials, etc.). Comparative information is presented for each of the 118 directories, with special attention to those with high recall, high precision, explicit and meaningful selection criteria, and consistently good textbook quality. The results focus on the characteristics of the OER directories, the extent to which they support the discovery of textbooks, the particular directories that are likely to be most useful, and the ways in which the most useful directories are systematically different from the others. There are at least 24 high-quality OER directories, but three—the Open Textbook Library, the B.C. Open Collection, and LibreTexts Commons—are especially useful. By devoting more attention to directories such as these, we can overcome the greatest barrier to the adoption of OER textbooks—the difficulty of identifying titles that can replace conventional texts.

How artificial intelligence shapes the future of biomaterials?

Biomaterials are playing a transformative role in modern medicine, revolutionizing both diagnosis and treatment options. The advent of advanced artificial intelligence (AI) tools is poised to significantly impact the field of biomaterials. AI is expected to play a critical role not only in the design and development of biomaterials but also in establishing new standards and refining definitions within this domain. AI can provide invaluable assistance by offering sophisticated tools to organize and analyze vast amounts of data. By leveraging AI’s capabilities, researchers can efficiently sift through extensive datasets, interpret results, and verify the efficacy of new biomaterials across a wide range of applications. This data-driven approach facilitates a deeper understanding of biomaterial interactions and performance, ensuring that new innovations meet rigorous standards. In this era, refining definitions and establishing a universal understanding are crucial for evaluating biomaterials more efficiently. AI can help achieve this by identifying patterns and correlations that might be overlooked by traditional methods, leading to more precise and reliable criteria for biomaterial assessment. Looking ahead, the integration of comprehensive data and advanced AI tools is expected to significantly enhance the effectiveness and quality of biomaterials. This synergy will ensure that biomaterials can meet the diverse and evolving needs of modern medicine, driving forward innovations that improve patient outcomes and healthcare practices.

A-323 Advancing Point-of-Care Testing: Independent Evaluation of the Truvian Platform

Abstract Background To address the deficiencies of long turnaround time, increased cost and delayed medical intervention in the current paradigm of routine blood testing, Truvian has developed an automated blood testing platform that provides timely and lab-accurate results at the point of care. With 300 µL from a single Lithium Heparin blood sample, the Truvian solution generates 34 test results, including CMP, Lipid, HbA1c, TSH and CBC in under 30 minutes (TruWellness PanelTM).The present study focused on rigorous evaluation of the reliability and accuracy of Truvian's platform in a real-world clinical setting by untrained operators. Platform precision was measured over time on multiple Truvian instruments under standardized protocol. Accuracy and reliability were assessed independently at the UC San Diego Anti-Viral Research Center (AVRC) by testing samples from donors with chronic medical conditions and comparing against FDA cleared devices, Roche Cobas and Sysmex-XN. Methods Precision was assessed using the control workflow where three commercially available controls, were loaded as sample inputs into the Truvian consumables to perform the TruWellness Panel(TM). Three levels of controls were run in quadruplicate daily on 4 instruments (N > 100 per instrument). Within and between run, day, instrument, and consumable lot variance components were assessed.Accuracy was assessed as part of an IRB-approved method comparison study at AVRC by untrained operators. A total of 50 unique donors representing various disease states were consented and enrolled. Three 4-mL blood samples were collected from each donor: one Lithium Heparin (LiHep) sample for the Truvian System's TruWellness PanelTM, another LiHep gel tube for Roche Cobas clinical chemistry and TSH assays, and an EDTA sample for the Sysmex complete blood count with 3-part differential and HbA1c. All samples were tested on the Truvian System within an hour of collection or processed for central lab testing. Concordance to comparator devices was assessed via relative difference plots, Passing-Bablok and/or Deming regression analyses. Results Our results indicated that the performance of Truvian's instrument met pre-specified reliability, precision and accuracy criteria (per preliminary analysis of the first 50 patients). Reproducibility results showed 100% (69/69) of all tests met specifications. Interim analysis of the first 50 patients in the method comparison study indicates a robust concordance with predicate devices with 20 out of 23 tests showing a correlation coefficient of ≥ 0.9. During donor testing, the instrument demonstrated 96% (48/50) run reliability with only a single operator-induced error where the blood tube was not loaded correctly, highlighting the robustness and ease of use of the platform. Conclusions The present evaluation underscores Truvian's instrument as an easy-to-operate platform that can be run by untrained operators, maintain reliability in real-world clinical settings, and deliver accurate and precise results. Enrollment and sample testing are ongoing, with plans to expand the sample size to 200 donors and study completion planned for May 2024. Broadening the study to encompass a wider range of analyte measurements among chronic disease patients is expected to enhance performance data. This independent evaluation provided confidence in Truvian Platform’s performance and suitability for practical healthcare applications.

B-004 Method Validation of Lactate in the Plasma of Rats

Abstract Background The objective of this study is to validate Lactate (LAC) measurement in rat plasma using the ADVIA 1800 analyzer. Methods LAC was validated in rat plasma using the ADVIA 1800 analyzer. Validation testing included intra-assay and inter-assay precision, accuracy, linearity of dilution, limit of quantitation (LOQ), limit of detection (LOD), reference interval, carry-over, correlation, recovery, and stability. Samples were collected into tubes containing sodium fluoride. Intra-assay precision was determined by analyzing two biological samples and the two quality control levels of Bio-Rad Lyphochek Assayed Chemistry Control 10 consecutive times. Inter-assay precision was determined by analyzing the two quality control levels in duplicate for six days over a 10-day period. Accuracy was calculated using the data obtained from the inter-assay precision testing. For linearity of dilution, Audit MicroControl General Chemistry Linearity Kit and biological samples were diluted and analyzed in duplicate. The LOQ was determined by diluting the calibrator material to produce a value at the low end of the reportable range. Diluted material was tested six times. The LOD was determined by assaying the appropriate blank 10 times. The reference interval was determined by analyzing 21 plasma samples. Correlation between the two ADVIA 1800 analyzers was determined by assaying 10 samples on both analyzers once. The carry-over of the assay was determined by analyzing the high-level quality control material followed by the low-level quality control material. Recovery was determined by analyzing a pair of test samples in duplicate that have been spiked and diluted. The proportional error between the two test samples was calculated. Stability of plasma samples was tested on wet ice, refrigerated, and frozen (at -70°C) for various durations of storage. Results Measurement of LAC in rat plasma met the acceptance criteria for precision, accuracy, linearity of dilution, limit of quantitation, carry-over, recovery, and stability. For intra-assay precision in specimen and control material, the %CV was within ±20%. The inter-assay precision %CV was within ±20%. The total error observed (TEobs) was within ±20% for accuracy and the obtained mean of the control material was within the manufacturer’s acceptable range. For linearity of dilution, the coefficient of determination was ≥ 0.9000, the slope was within 1.00 ± 0.25, and TEobs for each plasma and linearity kit dilution was ≤20%. The LOQ was set at the lowest concentration for which the TEobs was within ±20%. The LOD was calculated by adding the mean concentration obtained and three times the standard deviation. The reference interval was set to the 2.5th to 97.5th percentile interval using Excel software. The carry-over was acceptable at ≤2%. Correlation between the two ADVIA 1800 analyzers was determined to describe any bias in result interpretation. Recovery was acceptable as the proportional error was within ±20%. Stability at all storage conditions was found to be acceptable with a mean %difference within ±20%. Conclusions LAC in rat plasma met the acceptance criteria for all required validation parameters. The ADVIA 1800 analyzer can be used for preclinical studies to test LAC in rat plasma.

DEEP LEARNING BASED NETWORK INTRUSION DETECTION

As a direct consequence of the unrelenting march of technological innovation, the use of the Internet has become an unavoidable condition for the life of modern humans. The Internet has increased both the quantity and range of situations in which information products can be useful or non-useful. It’s no surprise that as the number of different systems and users has grown, so have the number of different ways to exploit those systems. A security issue has arisen with such diversity and growth. Its diversity and increase in quantity introduce new system weaknesses and thus new attack strategies. Methods for detecting both internal and external attacks are suggested as a solution to this issue. The purpose of this research, a Convolutional Neural Network was utilized to identify intrusions, also known as attacks for the imbalanced class distribution in the NF-BoT-IoT data set, Synthetic Minority Over Sampling Technique, Random Over Sampling and Random Under Sampling methods were used. K-Fold Cross Validation, one of the strategies for splitting the data set, was utilized to evaluate the performance of classification models and to train the developed model. The model’s performance was evaluated using the accuracy, precision, recall, and F1-score performance criteria.

Assessing the Tibial Tubercle–Posterior Intercondylar Eminence Distance as a Superior Indicator for Patellar Instability and Surgical Planning in Tibial Tubercle Osteotomy

Background and Objectives: This study aimed to evaluate the tibial tubercle–posterior intercondylar eminence (TT-IC) distance as a diagnostic tool and surgical guide for correcting extensor apparatus misalignment through tibial tubercle osteotomy. Materials and Methods: A retrospective analysis was conducted on patients with extensor apparatus misalignment. The TT-IC distance was measured using MRI. Patients underwent tibial tubercle osteotomy, guided by the TT-IC distance for correction. Post-operative outcomes, including alignment, pain scores, and functional recovery, were assessed. Results: A significant correlation was found between the TT-IC distance and the degree of extensor apparatus misalignment. Utilizing the TT-IC distance as a surgical guide led to improved alignment in majority of patients. Post-operative outcomes showed reduced pain and enhanced functional recovery. Conclusions: The study established the TT-IC measurement as a valuable tool for determining the need for tibial tuberosity osteotomy in patients with patellar instability, particularly those with trochlear dysplasia, by providing a more precise criterion than the traditional TT-TG distance.

Practice-Based Management Data of Consecutive Subjects Assessed for the Median Arcuate Ligament Syndrome at a Single Tertiary Institution.

The pathophysiology of median arcuate ligament syndrome (MALS) is poorly understood. The diagnostic process remains inadequately standardized, with an absence of precise criteria to guide therapeutic management. We studied consecutive subjects referred to the Department of Angiology at the University Hospital of Zurich over the past 17 years due to suspected MALS. We focused on (1) the imaging criteria that led to diagnosis, notably the results of color duplex ultrasound and the consistency with different imaging tests; (2) the clinical consequences focusing on symptom resolution. We included 33 subjects; in 8 subjects (24.2%), the diagnosis of MALS was retained. The median expiration peak systolic velocity (PSV) on ultrasound was 3.05 (Q1; 2.1-Q3; 3.3). To confirm the sonographic results, either a CT or MRI was performed on all patients, with consistent findings confirming a significant stenosis. Seven patients underwent surgery, all involving arcuate ligament release. Four procedures were laparoscopic, one was via laparotomy, and two were robot-assisted. Additionally, two patients required angioplasty with stenting as a secondary intervention. Only two (28.6%) of the seven operated patients experienced a relief of symptoms. None experienced a relief of symptoms following secondary angioplasty, despite stent patency. The prevalence of psychiatric disorders was comparable between patients with retained and rejected diagnoses, 38% and 36%, respectively. Our study confirmed sonography and CT/MRI consistency. However, most patients with MALS did not benefit from invasive treatment. The majority (83%) of patients without MALS were diagnosed with alternative conditions, mainly functional disorders.

Smooth Muscle Tumor of Uncertain Malignant Potential (STUMP): A Systematic Review of the Literature in the Last 20 Years.

Smooth Muscle Tumor of Uncertain Malignant Potential (STUMP) is a rare uterine tumor primarily affecting perimenopausal and postmenopausal women, typically aged between 45 and 55 years. Characterized by ambiguous histological features, STUMPs present diagnostic challenges as they cannot be definitively classified as benign or malignant based on morphology alone. This systematic review aims to elucidate the clinical, pathological, immunohistochemical, and treatment-related characteristics of STUMPs through an analysis of the literature from the past 20 years. The study follows PRISMA guidelines, utilizing comprehensive searches of PubMed and Scopus databases, yielding 32 studies that meet the inclusion criteria. From the analysis of these studies, it was revealed that the clinical presentations vary from common symptoms such as abnormal uterine bleeding and pelvic pain to incidental detection of uterine mass. Histologically, STUMPs demonstrate features overlapping with both leiomyomas and leiomyosarcomas, including mild nuclear atypia, low mitotic indices, and focal necrosis. Immunohistochemical markers such as p16 and p53 have been investigated for prognostic significance. Elevated p16 expression, often associated with aggressive behavior, was observed in a subset of STUMPs. Surgical management, typically involving hysterectomy or tumorectomy, is the primary treatment, though the extent of resection is variable. Adjuvant therapies are not routinely recommended, but long-term surveillance is advised, especially for high-risk patients. Recurrence rates for STUMPs are approximately 12%, with factors such as high mitotic counts and coagulative necrosis indicating higher risk. This review highlights the complexity of STUMP diagnosis and management, emphasizing the need for more precise diagnostic criteria and individualized treatment strategies. Understanding the morphological, immunohistochemical, and clinical behavior of STUMPs can improve patient outcomes and guide future research in this diagnostically challenging area.

Deciphering the complex mechanics of atherosclerotic plaques: A hybrid hierarchical theory-microrheology approach

Understanding the viscoelastic properties of atherosclerotic plaques at rupture-prone scales is crucial for assessing their vulnerability. Here, we develop a Hybrid Hierarchical theory-Microrheology (HHM) approach, enabling the analysis of multiscale mechanical variations and distribution changes in regional tissue viscoelasticity within plaques across different spatial scales. We disclose a universal two-stage power-law rheology in plaques, characterized by distinct power-law exponents (αshort and αlong), which serve as mechanical indexes for plaque components and assessing mechanical gradients. We further propose a self-similar hierarchical theory that effectively delineates plaque heterogeneity from the cytoplasm, cell, to tissue levels. Moreover, our proposed multi-layer perceptron model addresses the viscoelastic heterogeneity and gradients within plaques, offering a promising diagnostic strategy for identifying unstable plaques. These findings not only advance our understanding of plaque mechanics but also pave the way for innovative diagnostic approaches in cardiovascular disease management. Statement of significanceOur study pioneers a Hybrid Hierarchical theory-Microrheology (HHM) approach to dissect the intricate viscoelasticity of atherosclerotic plaques, focusing on distinct components including cap fibrosis, lipid pools, and intimal fibrosis. We unveil a universal two-stage power-law rheology capturing mechanical variations across plaque structures. The proposed hierarchical model adeptly captures viscoelasticity changes from cytoplasm, cell to tissue levels. Based on the newly proposed markers, we further develop a machine learning (ML) diagnostic model that sets precise criteria for evaluating plaque components and heterogeneity. This work not only reveals the comprehensive mechanical heterogeneity within plaques but also introduces a mechanical marker-based ML strategy for assessing plaque conditions, offering a significant leap towards understanding and diagnosing atherosclerotic risks.

Development Issues and Carbon Stock of Street Trees in the City of Brazzaville

The issue of street trees in urban planning is being addressed in Brazzaville, Congo. The aim is to improve urban space, in particular resilience for the well-being of city dwellers, by making the most of trees. As little attention has been paid to spatiotemporal research into the place of avenue trees in urban planning, the study targets ecosystem services rendered to society, once the paving of communication arteries is effective. The methodology is based on the inventory and enumeration of arborescent woody plants d1.30 ≥ 10 cm, present in 32 arteries, meeting precise criteria. Notwithstanding the measurement of d1.30 and tree height, the data collected includes the distance between trees and roadways, the area reserved for the plant and an assessment of the damage caused. The inventory lists 1,866 woody plants grouped into 41 species, 30 genera and 15 families. The allochthonous-dominated flora cohort includes several senescent individuals. Urban resilience and well-being are underpinned by above-ground biomass (81.68 t/ha/year) and sequestered carbon (40.84 t/ha/year). The carbon dioxide (CO2) sequestered would be 386.69 tones. In terms of infrastructure destruction, Terminalia mantaly and Terminalia catappa come out on top.

Loss of rapid eye movement atonia in rapid eye movement sleep behaviour disorder and narcolepsy.

A reduction of physiological muscle atonia during rapid eye movement sleep is characteristic in patients with rapid eye movement sleep behaviour disorder, however, it can also be found in narcolepsy patients. We evaluated rapid eye movement sleep associated electromyographic activity to set cut-off values of rapid eye movement sleep without atonia, differentiating rapid eye movement sleep behaviour disorder and narcolepsy patients from controls to enable more precise future diagnostic criteria for these disorders. We retrospectively analysed polysomnography recordings of 16 rapid eye movement sleep behaviour disorder patients, 15 narcolepsy patients, and 19 controls. The combination of phasic and tonic electromyographic activity was recorded in the mentalis and tibialis anterior muscles and analysed in 3 second miniepochs. The cut-off value for a diagnosis of rapid eye movement sleep behaviour disorder was 17.07% (100% sensitivity, 94.7% specificity, area under the curve 0.997). For the diagnosis of narcolepsy, we yielded a cut-off value of 8.4% (86.4% sensitivity, 68.4% specificity, area under the curve 0.850). Rapid eye movement sleep without atonia significantly (p = 0.046) increased in the second night half in rapid eye movement sleep behaviour disorder patients, while it remained moderately increased in the narcolepsy group. Polysomnographic evaluation proves significantly higher rates of rapid eye movement sleep without atonia in rapid eye movement sleep behaviour disorder than in narcolepsy patients, allowing differentiation from controls with high sensitivity and specificity. An increase throughout the night is characteristic for rapid eye movement sleep behaviour disorder, whereas a consistent elevation is typical in narcolepsy patients.

Outcomes of Different Surgical Interventions for Treating Trigeminal Neuralgia: A Review.

Trigeminal neuralgia (TN) is a debilitating condition characterized by severe facial pain. Various surgical interventions are employed to manage this condition, including microvascular decompression (MVD), percutaneous radiofrequency rhizotomy (PRR), glycerol rhizotomy, percutaneous balloon compression (PBC), and stereotactic radiosurgery such as Gamma Knife radiosurgery (GKRS). This review synthesizes the outcomes of these interventions to provide an understanding of their efficacy and associated risks. MVD, known for its high initial relief rates, shows substantial long-term effectiveness, with recurrence rates varying based on patient demographics and comorbidities. GKRS offers significant pain relief with a favorable adverse event profile; however, recurrence rates increase over time, necessitating repeat procedures for sustained efficacy. PBC demonstrates high initial success, but pain recurrence is common, especially in patients with atypical TN. PRR provides immediate relief with a manageable recurrence rate and is particularly suitable for elderly patients and those with comorbidities. Glycerol rhizotomy, a cost-effective procedure, yields comparable outcomes to other interventions but requires careful patient selection. This review highlights the importance of tailored treatment approaches based on individual patient profiles, emphasizing the need for precise diagnostic criteria and careful patient selection to optimize outcomes. Long-term follow-up and the potential for repeat interventions are critical considerations in managing TN surgically.

A Novel Image Processing Approach for Colloid Detection in Saturated Porous Media.

Over recent decades, natural and artificial colloids, as well as nanoparticles, have been increasingly used in various applications. Consequently, with this rising consumption, surface and subsurface environments are more exposed to these particles. The presence of these particles and the colloid-facilitated transport of microorganisms, the interactions between dissolved contaminants and mobile colloids in porous media, and the fate and transport of colloids through groundwater-one of the primary sources of water supply for human societies-have attracted extensive research. This study investigates the performance of several image processing methods in the field of colloid detection, which is a prerequisite for the subsequent steps in porous media research. We employed four different categories of image processing approaches on microscopy images-segmentation-based methods, background-detection-based methods, filter-based methods, and morphology-based methods-to conduct the detection process of colloids. Eight methods were applied and subsequently analyzed in terms of their drawbacks and advantages to determine the best ones in this domain. Finally, we proposed an ensemble approach that leverages the strengths of the three best methods using a majority vote to detect colloids more accurately. In experiments, Precision, Recall, F-measure, and TCR criteria were considered as evaluation tools. Experimental results demonstrate the high accuracy of image processing methods in recognizing colloids. Among all these methods, morphology-based methods were the most successful, achieving the best detection performance and improving the limited distinguishing features of small colloids. Moreover, our ensemble approach, achieving perfect scores across all evaluation criteria, highlights its superiority compared with other detection methods.

Use of Natural Language Processing to Extract and Classify Papillary Thyroid Cancer Features From Surgical Pathology Reports

BackgroundWe aim to use Natural Language Processing to automate the extraction and classification of thyroid cancer risk factors from pathology reports. MethodsWe analyzed 1410 surgical pathology reports from adult papillary thyroid cancer patients from 2010 to 2019. Structured and nonstructured reports were used to create a consensus-based ground truth dictionary and categorized them into modified recurrence risk levels. Nonstructured reports were narrative, while structured reports followed standardized formats. We developed ThyroPath, a rule-based Natural Language Processing pipeline, to extract and classify thyroid cancer features into risk categories. Training involved 225 reports (150 structured, 75 unstructured), with testing on 170 reports (120 structured, 50 unstructured) for evaluation. The pipeline's performance was assessed using both strict and lenient criteria for accuracy, precision, recall, and F1-score; a metric that combines precision and recall evaluation. ResultsIn extraction tasks, ThyroPath achieved overall strict F-1 scores of 93% for structured reports and 90% for unstructured reports, covering 18 thyroid cancer pathology features. In classification tasks, ThyroPath-extracted information demonstrated an overall accuracy of 93% in categorizing reports based on their corresponding guideline-based risk of recurrence: 76.9% for high-risk, 86.8% for intermediate risk, and 100% for both low and very low-risk cases. However, ThyroPath achieved 100% accuracy across all risk categories with human extracted pathology information. ConclusionsThyroPath shows promise in automating the extraction and risk recurrence classification of thyroid pathology reports at large scale. It offers a solution to laborious manual reviews and advancing virtual registries. However, it requires further validation before implementation.

Eligibility Criteria for Different Platinum-Based Chemotherapy Regimens in Metastatic Urothelial Carcinoma.

Introduction Bladder cancer is one of the most prevalent cancers worldwide, with significant morbidity and mortality rates. Treatment options for metastatic urothelial carcinoma (mUC) primarily include platinum-based chemotherapy. Cisplatin-based chemotherapy is conventionally used for treating mUC, but many patients are ineligible due to various factors such as poor performance status, creatinine clearance, neuropathy, and cardiac function. Carboplatin-based therapy is another alternative, which typically yields less favorable outcomes. Some centers use split-dose cisplatin for treating patients with comorbidities and impaired renal function, broadening cisplatin's spectrum. While eligibility criteria for full-dose cisplatin are well-established, those for split-dose cisplatin and carboplatin lack strong evidence. This study aims to assess the recommended criteria for full-dose cisplatin, split-dose cisplatin, and carboplatin regimens in real-world settings, including hematological parameters for patients with mUC. Methods A cross-sectional web-based survey was conducted among 136 oncologists from 21 countries, assessing criteria such as creatinine clearance, Eastern Cooperative Oncology Group (ECOG) performance status (PS), neurotoxicity, hearing loss, heart failure classification, and hematological parameters. Results The survey revealed diverse preferences among 113 oncologists treating mUC, regarding the eligibility criteria for each chemotherapy regimen with 81% prioritizing full-dose cisplatin, 21% split-dose cisplatin, and 14% carboplatin regimens. Criteria for all three regimens included specific thresholds. For full-dose cisplatin, the preferred criteria included creatinine clearance ≥60 mL/min, ECOG PS ≤1, grade 1 neuropathy, grade 1 deafness, New York Heart Association (NYHA) heart failure ≤class II with ≥50% cardiac ejection fraction, and normal blood parameters. Split-dose cisplatin criteria were creatinine clearance ≥40 mL/min, ECOG PS ≤2, grade 1 neuropathy, grade 1 deafness, NYHA heart failure ≤class II with ≥50% cardiac ejection fraction, and normal blood parameters. Carboplatin eligibility criteria were creatinine clearance ≥30, ECOG PS ≤2, grade ≤2 neuropathy, grade ≤2 deafness, NYHA heart failure ≤class II with ≥50% cardiac ejection fraction, and normal blood parameters. Hematological parameters were deemed crucial for all regimens, particularly stringent for carboplatin-based chemotherapy. Conclusion The study underscores the importance of renal function and hematological parameters in determining chemotherapy eligibility for patients with mUC. It highlights the importance of precise treatment criteria in mUC management, with hematological factors playing a significant role. Standardized criteria and further research are warranted to optimize treatment outcomes and minimize adverse events associated with chemotherapy regimens. Understanding the preferences of oncologists globally can facilitate tailored treatment approaches and improve patient care in the management of mUC.

Definition and Epidemiology of Sepsis.

Here we review the epidemiology of sepsis, focusing on its definition, incidence, and mortality, as well as the demographic insights and risk factors that influence its occurrence and outcomes. We address how age, sex, and racial/ethnic disparities impact upon incidence and mortality rates. Sepsis is more frequent and severe among the elderly, males, and certain racial and ethnic groups. Poor socioeconomic status, geographic location, and pre-existing comorbidities also elevate the risk of developing and dying from sepsis. Seasonal variations, with an increased incidence during winter months, is also apparent. We delve into the predictive value of disease severity scores such as the Sequential Organ Failure Assessment score. We also highlight issues relating to coding and administrative data that can generate erroneous and misleading information, and the need for greater consistency. The Sepsis-3 definitions, offering more precise clinical criteria, are a step in the right direction. This overview will, we hope, facilitate understanding of the multi-faceted epidemiological characteristics of sepsis and current challenges.