Typical Class Research Articles

Advances in LUCAS Copernicus 2022: enhancing Earth observations with comprehensive in situ data on EU land cover and use

Abstract. The Land Use/Cover Area frame Survey (LUCAS) of the European Union (EU) presents a rich resource for detailed understanding of land cover and use, making it invaluable for Earth observation (EO) applications. This paper discusses the recent enhancements and improvements in the LUCAS Copernicus module, particularly the data collection process of 2022, its protocol simplifications, and geometry definitions compared to the 2018 survey and data. With approximately 150 000 polygons collected in 2022, an increase from 60 000 in 2018, the LUCAS Copernicus 2022 data provide a unique and comprehensive in situ dataset for EO applications. The protocol simplification also facilitates a faster and more efficient data collection process. In 2022, there were 137 966 polygons generated out of the original 149 408 LUCAS Copernicus points, which means that 92.3 % of the points were actually surveyed. The data have 82 land cover classes for the Copernicus module that map to 88 classes up to the LUCAS level-3 legend. For land use the data have 40 classes, along with 18 classes of land use types. The dataset is available for download (product IDentification – PID: http://data.europa.eu/89h/e3fe3cd0-44db-470e-8769-172a8b9e8874; European Commission, 2023). The paper elaborates further on the implications of these enhancements and the need for continuous harmonization to ensure semantic consistency and temporal usability of data across different periods. Moreover, it calls for additional studies exploring the potential of the collected data, especially in the context of remote sensing and computer vision. It ends with a discussion of future data usage and dissemination strategies.

Mapping typical LULC classes using spatiotemporal analysis and the thresholds of spectral optical satellite imagery indices: a case study in Algiers city.

Land use and land cover (LULC) dynamics have a substantial impact on human-environment interactions. Nowadays, remote sensing imagery has emerged as a useful tool for mapping and tracking LULC changes. Spectral optical indices derived from remote sensing data can provide insightful information about vegetation health, urban expansion, water bodies, deforestation patterns, and many other applications. The present study examines the use of popular optical spectral indices: vegetation index (NDVI), water indices (NDWI and MNDWI), urban indices (UI and NDBI), and bare land index (MNDBI) in threshold-based classification for LULC mapping using Algiers (Algeria) as a case study, and assesses the potential impacts of their spatiotemporal (at a seasonal and annual temporal scales) variations associated with natural seasonal changes and/or the evolution of the city's fabric. Here, a geo-statistical analysis of the values of the selected spectral indices at the level of each LU-class is conducted, threshold values (that account for seasonal variations) are proposed, and a classification approach (making use of best performing indices) is proposed and tested. Although fast and easy to implement, the proposed threshold-based LULC classification approach was successfully used for mapping LULC for the study zone with a high accuracy (an overall accuracy of 90.20 and a kappa of 0.84 for the demonstration year of 2017). The outcomes of the study heighten the potential and the limitations of the use of spectral indices for LULC mapping practices and consequent applications in environmental and urban studies.

Molecular profile of adult primary leptomeningeal gliomatosis aligns with glioblastoma, IDH-wildtype.

Adult primary leptomeningeal gliomatosis (PLG) is a rare, rapidly progressive and fatal disease characterized by prominent leptomeningeal infiltration by a glial tumor without an identifiable parenchymal mass. The molecular profile of adult PLG has not been well-characterized. We report the clinical, pathological, and molecular findings of six adult PLG patients (five males and one female), median age 58 years. All cases exhibited pathological leptomeningeal enhancement at presentation. Leptomeningeal biopsy was diagnostic in five (of six) cases, revealing infiltration by an astrocytic glioma with mitotic activity, lacking microvascular proliferation or necrosis. One case was diagnosed at autopsy. All tumors were IDH-wildtype, with five harboring TERT promoter mutations. Additional mutations identified were PTEN in one case, TP53 in two cases, and NF1 in two cases. A chromosome profile with +7/-10 was found in four cases, whereas the remaining two showed either chromosome 7 or 7p gain only. Four cases showed chromosome 9p loss with CDKN2A/B homozygous deletion, one case showed hemizygous CDKN2A/B loss, and one case showed intact chromosome 9 and CDK4/GLI1 amplification. DNA methylation profiling was performed in four cases and revealed a match to glioblastoma (GBM) family and mesenchymal typical class with high confidence scores in two cases; the other two cases showed only suggestive combined scores for GBM family and mesenchymal atypical class. The molecular profile of all cases closely aligned with that of adult-type GBM, IDH-wildtype, CNS WHO grade 4. All patients succumbed to the disease. In five cases with extensive leptomeningeal disease at diagnosis, the course was rapid, with median survival of 24 days following palliative care. Only one case, with relatively localized disease at diagnosis, received chemoradiation therapy and survived 535 days, raising the possibility that early diagnosis and timely treatment could improve outcome. A detailed list of previously reported cases is provided in a supplementary table.

Molecular Insight into the Catalytic Mechanism of the Sesquiterpene Cyclase BcABA3.

BcABA3 is an unusual sesquiterpene synthase that lacks the conserved DDxxD and DTE/NSE motifs. Despite this, it can catalyze the conversion of farnesyl diphosphate to 2Z,4E-α-ionylideneethane. We used structure prediction, multiscale simulations, and site-directed mutagenesis experiments to investigate BcABA3 and its catalytic mechanism. BcABA3 has structural similarity to typical class I terpenoid cyclases in its active site. Based on simulation results, we identified two discontinuous glutamate residues, E124 and E88, which compensate for the absence of the aspartate-rich DDxxD motif. Quantum chemical calculations show that BcABA3 adopts a direct rotation mechanism for allyl cation isomerization rather than via the nerolidyl diphosphate. Then, it can achieve a successive proton transfer reaction, which is difficult to achieve by intramolecular rearrangement via the protruding outward carbonyl oxygen of A206. This reaction is then directed forward by two relatively stable intermediates containing a cation-conjugated double-bond structure. E124 is also proposed as the proton receptor in the final deprotonation to couple this step with 2Z,4E-α-ionylideneethane release. These findings provide valuable insight into the catalytic mechanisms of BcABA3 and can aid in its engineering, which will facilitate studies of abscisic acid biosynthesis.

Supervised Automated Kinetic Perimetry (SAKP) Using Simulated Visual Field Data - Presentation of a New Examination Technique.

The aim of this study was to develop, optimise, train, and evaluate an algorithm for performing Supervised Automated Kinetic Perimetry (SAKP) using digitalised perimetric simulation data. The original SAKP algorithm was based on findings from a multicentre study to establish reference values by semi-automated kinetic perimetry (SKP) combined with an automated examination method with moving stimuli ("Program K", developed in Japan). The algorithm evaluated the outer angles of isopter segments and responded to deviations from expected values by placing examination vectors to measure the outer boundaries of the visual field (VF). Specialised interpolation methods were also used to create individual 3D hills of vision and local "probing vectors" to optimise the eccentricity of the vector origins. This algorithm was trained iteratively on seven representative digitalised 3D VF results from five typical classes and optimised in each step: (1) Normal VF, (2) Central scotoma, (3) Concentric VF constriction, (4) Retinal nerve fibre layer defects in the visual field (VFDs), (5) VFDs with respect to the vertical meridian. The optimised SAKP algorithm was then applied to a new set of twenty 3D VF results of varying origin and severity. The primary targets were measured in agreement between actual calculated VF expressed as accuracy (A), that is, the ratio between the area containing correct predictions and total area of predictions measured between 0 = worst and 1 = best, and examination duration (T). The results are given as median (and interquartile range). We also verified the test's robustness by varying individual error rates (ERs) and error magnitudes (EMs). The median and interquartile range (IQR, in brackets) for the total of representative VFs were 0.93 (0.02) for A and 7.0 min (5.2 min) for T, respectively. A gave the best result for altitudinal VFDs and VFDs with hemianopic character and macular sparing (0.98 each) and worst in superior wedge-shaped VFDs (0.78); T was shortest in blind spot displacement (3.9 min) and longest in hemianopic VFDs with hemianopic character and macular sparing with preserved temporal crescent (12.1 min). Error rate and magnitude (up to 30% each) only showed a comparatively low influence on A and T. The SAKP algorithm presented here achieves a comparatively high degree of accuracy and robustness for actual, simulated visual field data within acceptable examination times. This algorithm is currently being prepared for application in real patient examinations under clinical conditions.

A New Technique to Qualify Rotary Electro-Mechanical Actuator for Tactical Class of Missile System

A novel technique has been adopted to establish the functionality and to qualify the Rotary Electro-Mechanical Actuator (REMA) system developed for a typical tactical class of weapon system in addition to the conventional method of checking the functionality through On-Board Computer in-loop simulation, Actuator in-loop simulation and Hardware in-loop simulation. The REMA along with full scale fin surface subjected to wind tunnel tests at the actual flight Mach number and flight dynamic pressure conditions. Flight hardware of REMA and fin assembly has been used in the tests so as to derive direct conclusions without applying any corrections to the measured results. This technique revealed the capability of the actuator, the dynamic functionality of its components such as gear systems, bearings and structural integrity of the whole actuator under the flight aerodynamic load on the full scale fin surface and vibration environments. The test conducted is being the most critical condition and the REMA and fin combination performed the intended commands as predictable and survived without any structural dis-integrity qualifies for further flight use. Subsequently flight tests were conducted and found the performance of REMA was as anticipated. Based on these results, recommendation made that it is mandatory that the all the actuation systems developed for fin actuation in missiles has to undergo the wind tunnel tests and qualify further actual use. The details of wind tunnel tests and the results of typical REMA with full scale fin are presented in this paper.

Study of Distribution of Free Flow Speeds on Urban Road Sections Depending on Their Functional Purpose and One-Way Traffic—Evidence from Kharkiv (Ukraine)

Data on the distribution of the free flow speed (FFS) of cars are used to solve a wide range of tasks in the field of road transport, starting from road design and ending with the development of traffic modeling and simulation programs. The purpose of this study was to obtain the distribution of vehicle speeds on typical sections of the city road network, characterized by the presence of one-way traffic. The data were obtained by field observations using a portable radar. As a result, statistical characteristics and speed distribution laws for four sections of streets in the city of Kharkiv were analyzed. It was shown that the characteristics of FFS distributions differ depending on the functional class of the streets. Average FFS values on main street segments were on average 19 km/h higher. The one-way traffic has less impact on the FFS distribution, especially for arterial streets. The characteristics of FFS distributions differ depending on the type and functional class of streets; they can be described with sufficient accuracy by typical distribution laws, such as Normal, Log-normal, Gamma, and Chi-square. The results of this study can be useful for traffic modeling problems.

Desertification Assessment Using the Modified Mediterranean Desertification and Land Use Model in a Karst Plateau

Desertification is among the most severe environmental problems in many countries at present, and threatens the integrity of natural environments and the sustainability of related natural resources. This work aims to assess proneness to desertification in the Alta Murgia karst plateau (Apulia, Southern Italy) through the integration of the modified Mediterranean Desertification and Land Use model (MEDALUS) with a GIS-based approach. The model includes indexes for climate, vegetation, soil, and management, all combined to assess environmentally sensitive areas (ESAs) regarding desertification. Given the karst features of the study area, the management index was modified and renamed the Karst Management Quality Index (KMQI). This modification was made by incorporating the Karst Disturbance Index (KDI), based on a series of indicators divided into five categories: geomorphology, hydrology, atmosphere, biota, and cultural factors. According to the model, the results indicated that the whole area (97%) is within the Critical type of ESA, with no area being assessed as the “Non-Affected” or “Potential” type. A total of 57% of the study area falls into Critical sub-type 2, 32% falls into sub-type 3, and 8% falls into sub-type 1. The remaining percentage (3%) belong to a non-optimal category, i.e., the Fragile type (sub-type F3) class. The obtained results could be explained, more than by climatic or ecological factors, by a series of anthropogenic activities carried out over the years that strongly modified and disturbed the original karst landscape, with a highly negative impact on the Alta Murgia karst.

West African cattle share non-random heterozygosity-rich region islands enriched on adaptation-related genes despite their different origins

MethodsUp to 237 individuals belonging to 10 different taurine (Bos taurus), zebu (B. indicus), and taurine × zebu sanga cattle populations sampled in Benin, Burkina Faso, and Niger were typed using the BovineHD BeadChip of Illumina to ascertain the patterns and importance of heterozygosity-rich regions (HRRs) in West African cattle. To account for among-population gene flow, individuals were further classified into three groups (Qtaurine, Qzebu, and admixed) according to maximum likelihood estimates of individual ancestries (q^) obtained using the program Admixture v1.23.Results and discussionThe 967 HRRs identified on 27 out of 29 bovine chromosomes in 231 cattle individuals were further summarized into 103 HRR islands, covering 40.7 Mb of the bovine genome. Only HRR islands identified in at least 10% of the animals typed or 10% of the individuals classified according to cattle type or admixture class were considered relevant to characterize the West African cattle genomic background. Only one and three HRR islands were considered taurine- and zebu-specific, respectively. Most (14) relevant HRR islands identified were present in cattle individuals despite the cattle type or admixture class into which they were classified (waHRR), suggesting that HRR can give advantages for adaptation to harsh environments. A total of 202 potential candidate genes were identified on the 14 waHRR islands. Most of them belonged to gene families coding zinc finger, protocadherin, adhesion G protein-coupled receptors, solute carrier, and arachidonate lipoxygenase proteins, involved in immune response, with a putative role in adaptation. Furthermore, waHRRs were also enriched on 18 and 11 different genes coding olfactory receptors and pregnancy-associated glycoproteins, respectively, giving additional support to the suggested importance of the HRR islands identified for the adaptive ability of West African cattle. Our research identified new genomic areas that can be targeted for further research in cattle adaptive ability.

In vivo functional profiling and structural characterisation of the human Glp1r A316T variant.

Glucagon-like peptide-1 receptor (GLP-1R) agonists (GLP-1RAs) are a highly effective therapy class for type 2 diabetes (T2D) and obesity, yet there are variable patient responses. Variation in the human Glp1r gene leading to altered receptor structure, signal transduction, and function might be directly linked to variable therapeutic responses in patients. A naturally occurring, low-frequency, gain-of-function missense variant, rs10305492 G>A (A316T), protects against T2D and cardiovascular disease. Here we employ CRISPR/Cas9 technology to generate a humanised knock-in mouse model bearing the homozygous Glp1r A316T substitution. Human Glp1r A316T/A316T mice displayed lower fasting blood glucose levels and improved glucose tolerance, as well as increased plasma insulin levels and improved insulin secretion compared to human Glp1r +/+ littermates, even under metabolic stress. They also exhibited alterations in islet cytoarchitecture and β-cell identity under a high-fat, high-sucrose (HFHS) diet. This was however associated with blunted responses to pharmacological GLP-1RAs in vivo . Further investigations in several rodent and human β-cell models demonstrated that the human Glp1r A316T variant exhibits characteristics of constitutive activation but dampened GLP-1RA responses. Our results are further supported by the cryo-EM analysis and molecular dynamics (MD) simulations of the GLP-1R A316T structure, collectively demonstrating that the A316T Glp1r variant governs basal receptor activity and pharmacological responses to GLP-1R-targeting anti-diabetic therapies, highlighting the importance of the molecular characterisation of human Glp1r variants to predict individual therapy responses.

Trajectory Planning and Performance Atlases of a New Omnidirectional Conveyor

This paper proposes an omnidirectional conveyor as a novel alternative to existing omnidirectional conveyors. With a symmetric and compact layout, this new structure ensures consistent kinematics and enhanced flexibility in trajectory planning. The kinematic model of the proposed omnidirectional conveyor is developed and verified through simulation in CoppeliaSim. Four typical classes of trajectories are generated and verified in the simulation environment. Using PID control, the actual trajectories of a package on the conveyor closely match the desired trajectories. In addition, this paper outlines the workspace and corresponding wheel patterns for the conveyor, demonstrating how different supported wheel patterns emerge when packages move across various areas of the conveyor. The discussion extends to fault tolerance and obstacle avoidance, examining the workspace and wheel patterns with one or two omni wheels failed. Furthermore, this paper provides a comprehensive analysis of the feasible desired movements for the packages on the conveyor under the constrained wheel speed. This provides insights and guidance on trajectory planning and design of the conveyor.

Impact of Antidepressant Use on Intraoperative Blood Loss and Transfusion Rates in Lumbar Fusion Surgery

A quarter of spine surgery patients take antidepressants. Basic science research has suggested serotonergic antidepressants impair platelet function. This has been supported by only a small number of works in the setting of spine surgery. The purpose of this study is to investigate the impact of antidepressants on intraoperative bleeding risk during lumbar fusion. Patients who underwent elective 1-3 level lumbar fusion at a single, academic, tertiary center (2017-2021) were identified. Antidepressant use and class, demographic and surgical data were evaluated. Bleeding risk was assessed by total intraoperative blood loss (mL), calculated using the formula by Gross et al, and by postoperative transfusion. Patients prescribed versus not prescribed an antidepressant were matched 1:1 by age, sex, BMI, Elixhauser, smoking status, and levels fused. Appropriate statistical analysis was performed (Alpha was set at 0.05). 420 patients with, and 420 patients without an antidepressant prescription at the time of lumbar fusion were identified. Patients without an antidepressant prescription had a higher Charlson Comorbidity Index (0.91 ± 1.09 vs. 0.76 ± 1.1; p = 0.048), but otherwise the groups were demographically similar, and underwent similar surgeries. Antidepressant use was not associated with increased intraoperative bleeding or postoperative transfusion rate, regardless of sub-analysis by procedure type or antidepressant class. Antidepressant use was not associated with increased intraoperative blood loss or increased postoperative transfusion requirement, regardless of sub-analysis by fusion type or antidepressant class. The current findings do not support discontinuing antidepressants prior to lumbar fusion.

Bioresources of lake Mostovoye and ways of their rational use

The ichthyofauna of most water bodies in the Altai Krai is represented by low-value and slow-growing fish. Fish productivity is largely determined by the degree of exploitation of the reservoir and the form of organization of the fishery. Rational fishery in natural reservoirs should ensure the exploitation of the ecosystem of the reservoir as a single whole. Mostovoe Lake is located in the Zavyalovsky and Baevsky districts of the Altai Krai, is one of the largest freshwater lakes in the Altai Territory, belonging to the floodplain of the Kulunda River. The water in the reservoir is of the sulfate-chloride class of the first type, fully meets all fish farming requirements. The collection of ichthyological material was carried out by the method of control catches. The species composition and spatial distribution of fish were studied by setting a set of fixed gill nets in the reservoirs. Information on the size and age structure of populations, catches of the main commercial fish and crayfish in Mostovoe Lake is provided. The magnitude of the fishing effort and the assessment of the state of aquatic bioresources (ichthyofauna) in the reservoir were carried out using one of the expert assessment options — the point systems method. The ichthyofauna of Mostovoe Lake includes six species that are subject to commercial fishing: common pike, roach, silver carp, river perch, common carp (carp), and common pike perch. Of the commercial invertebrates, crayfish is caught. The indicators of the commercial stock and the recommended catch of bioresources in the reservoir were calculated. Recommendations for regulating fisheries based on ichthyological monitoring are proposed. A certain effect for stabilizing the structure of the ichthyocenosis of the reservoir can be made by fishery melioration: the introduction of herbivorous fish — white amur (Ctenopharyngodon idella) and silver carp (Hypophthalmichthys molitrix) for a more complete use of the food base of the lake — phytoplankton and macrophytes. It is necessary to continue monitoring studies of the lake’s winter oxygen regime.

Evaluation of Drivers’ Mental Model, Trust, and Reliance Toward Level 2 Automated Vehicles

Level 2 automated vehicles (AVs) have been commercially available for years, yet the extent to which drivers are cognizant of their capabilities and limitations remains largely unknown. This study aimed to assess the public’s mental model of Level 2 AVs and investigate the relationships between mental model, trust, and reliance. Moreover, it sought to explore driver heterogeneity through cluster analysis to identify typical driver classes. Employing Tesla Autopilot as a representative Level 2 automation system, we designed a questionnaire measuring mental model from three dimensions: functional condition, sensorimotor preparation, and automation monitoring. This questionnaire was administered to both Tesla Autopilot owners (N = 357) and non-owners (N = 357). The results showed that, on average, drivers possessed an inadequate mental model regarding Level 2 AVs, and those with a relatively better mental model exhibited lower levels of trust and reliance. Owning a Level 2 AV did not result in a better understanding of the system, but it led to a higher trust level. Moreover, the results suggested that drivers’ trust and reliance in AVs tended to increase within the initial 6 months of usage and then kept stabilized after that. Through cluster analysis, we identified three distinct driver classes that exhibited significant differences in their mental model levels and attitudes towards AVs: Class 1 (blurred positive), Class 2 (sober neutral), and Class 3 (cautiously positive). This further validates the presence of heterogeneity among drivers. The insights gained from this study can serve as a valuable resource for supporting and guiding the development and implementation of training programs aimed at enhancing drivers’ comprehension of Level 2 AVs.

Merging Gradual Typing

Programming language mechanisms with a type-directed semantics are nowadays common and widely used. Such mechanisms include gradual typing, type classes, implicits and intersection types with a merge operator. While sharing common challenges in their design and having complementary strengths, type-directed mechanisms have been mostly independently studied. This paper studies a new calculus, called λM⋆, which combines two type-directed mechanisms: gradual typing and a merge operator based on intersection types. Gradual typing enables a smooth transition between dynamically and statically typed code, and is available in languages such as TypeScript or Flow. The merge operator generalizes record concatenation to allow merges of values of any two types. Recent work has shown that the merge operator enables modelling expressive OOP features like first-class traits/classes and dynamic inheritance with static type-checking. These features are not found in mainstream statically typed OOP languages, but they can be found in dynamically or gradually typed languages such as JavaScript or TypeScript. In λM⋆, by exploiting the complementary strengths of gradual typing and the merge operator, we obtain a foundation for modelling gradually typed languages with both first-class classes and dynamic inheritance. We study a static variant of λM⋆ (called λM); prove the type-soundness of λM⋆; show that λM⋆ can encode gradual rows and all well-typed terms in the GTFL≲ calculus; and show that λM⋆ satisfies gradual typing criteria. The dynamic gradual guarantee (DGG) is challenging due to the possibility of ambiguity errors. We establish a variant of the DGG using a semantic notion of precision based on a step-indexed logical relation.

Effects of SZV-2649, a new multiple ion channel inhibitor mexiletine analogue

The antiarrhythmic and cardiac electrophysiological effects of SZV-2649 that contains a 2,6-diiodophenoxy moiety but lacks the benzofuran ring system present in amiodarone, were studied in mammalian cell line, rat and dog cardiac preparations. SZV-2649 exerted antiarrhythmic effects against coronary artery occlusion/reperfusion induced ventricular arrhythmias in rats and in acetylcholine- and burst stimulation induced atrial fibrillation in dogs. SZV-2649 inhibited hERG and GIRK currents in HEK cells (IC50: 342 and 529 nM, respectively). In canine ventricular myocytes, SZV-2649 (10 µM) decreased the densities of IKr, and Ito outward and INaL and ICaL inward currents. The compound (2.5–10 µM) elicited Class IB type Vmax reducing and Class III type action potential duration prolonging effects in dog right ventricular muscle preparations. In canine atrial muscle, SZV-2629 (2.5–10 µM) moderately prolonged action potential duration and this effect was greatly augmented in preparations pretreated with 1 µM carbachol. In conclusion, SZV-2649, has antiarrhythmic effects based on its multiple ion channel blocking properties. Since its chemical structure substantially differs from that of amiodarone, it is expected that SZV-2649 would exhibit fewer adverse effects than the currently used most effective multichannel inhibitor drug amiodarone and may be a promising molecule for further development.

The burden of cancer attributable to dietary dioxins and dioxin-like compounds exposure in China, 2000–2020

Dioxin is a typical class of persistent organic pollutants (POPs) that could cause cancer. In China, the contribution of dietary dioxins to the cancer burden remains underexplored. This study evaluates the cancer risk and burden due to dietary dioxins and dioxin-like compounds among Chinese residents from 2000 to 2020. Based on adjustments in China’s dioxin policies, the study period was divided into three stages with split years of 2007 and 2014 to estimate the toxic equivalent (TEQ) of dioxins. Participants in dietary surveys conducted in 31 provinces were included. Dietary exposure to dioxins was estimated in a probability model and compared with the provisional tolerable monthly intake (PTMI). The risk was assessed using carcinogenic slope factors and expressed as the incremental lifetime cancer risk (ILCR). A two-stage model evaluated the burden of cancer attributable to dietary dioxins and dioxin-like compounds. Among all food categories, the highest concentration of dioxins and dioxin-like compounds was observed in aquatic foods at 0.15 pg TEQ/kg. Median dietary exposure to dioxins among Chinese residents decreased from 12.39 pg TEQ/kg/month to 8.72 pg TEQ/kg/month between 2000 and 2020. Consequently, the ILCR due to dietary dioxins declined from 6.44 × 10-5 to 4.53 × 10-5. The health risks were higher in younger groups and among residents of coastal areas (P < 0.001). The burden of cancer attributable to dietary intake of dioxins and dioxin-like compounds in the Chinese population in 2000–2007, 2008–2014, and 2015–2020 was 2.25 (2.09–2.42) per 100,000, 2.20 (2.06–2.35) per 100,000, and 1.68 (1.60–1.77) per 100,000, respectively. Furthermore, the disease burden was highest for prostate cancer in men and for breast cancer in women. The dioxin management policies has reduced the burden of cancer attributable to dietary exposure to dioxins and dioxin-like compounds in China. However, excess exposure in coastal areas and children remains a priority for attention.

Plasma ctDNA as a Treatment Response Biomarker in Metastatic Cancers: Evaluation by the RECIST Working Group.

Early indicators of metastatic cancer response to therapy are important for evaluating new drugs and stopping ineffective treatment. The RECIST guidelines based on repeat cancer imaging are widely adopted in clinical trials, are used to identify active regimens that may change practice, and contribute to regulatory approvals. However, these criteria do not provide insight before 6 to 12 weeks of treatment and typically require that patients have measurable disease. Recent data suggest that measuring on-treatment changes in the amount or proportion of ctDNA in peripheral blood plasma may accurately identify responding and nonresponding cancers at earlier time points. Over the past year, the RECIST working group has evaluated current evidence for plasma ctDNA kinetics as a treatment response biomarker in metastatic cancers and early endpoint in clinical trials to identify areas of focus for future research and validation. Here, we outline the requirement for large standardized trial datasets, greater scrutiny of optimal ctDNA collection time points and assay thresholds, and consideration of regulatory body guidelines and patient opinions. In particular, clinically meaningful changes in plasma ctDNA abundance are likely to differ by cancer type and therapy class and must be assessed before ctDNA can be considered a potential pan-cancer response evaluation biomarker. Despite the need for additional data, minimally invasive on-treatment ctDNA measurements hold promise to build upon existing response assessments such as RECIST and offer opportunities for developing novel early endpoints for modern clinical trials.

Pigment network detection and classification in dermoscopic images using directional imaging algorithms and convolutional neural networks

Early diagnosis of melanoma, which can save thousands of lives, relies heavily on the analysis of dermoscopic images. One crucial diagnostic criterion is the identification of unusual pigment network (PN). However, distinguishing between regular (typical) and irregular (atypical) PN is challenging. This study aims to automate the PN detection process using a directional imaging algorithm and classify PN types using machine learning classifiers. The directional imaging algorithm incorporates Principal Component Analysis (PCA), contrast enhancement, filtering, and noise reduction. Applied to the PH2 dataset, this algorithm achieved a 96% success rate, which increased to 100% after pixel intensity adjustments. We created a new dataset containing only PN images from these results. We then employed two classifiers, Convolutional Neural Network (CNN) and Bag of Features (BoF), to categorize PN into atypical and typical classes. Given the limited dataset of 200 images, a simple and effective CNN was designed, featuring two convolutional layers and two batch normalization layers. The proposed CNN achieved 90% accuracy, 90% sensitivity, and 89% specificity. When compared to state-of-the-art methods, our CNN demonstrated superior performance. Our study highlights the potential of the proposed CNN model for effective PN classification, suggesting future research should focus on expanding datasets and incorporating additional dermatological features to further enhance melanoma diagnosis.

SIFT: Sifting file types—application of explainable artificial intelligence in cyber forensics

Artificial Intelligence (AI) is being applied to improve the efficiency of software systems used in various domains, especially in the health and forensic sciences. Explainable AI (XAI) is one of the fields of AI that interprets and explains the methods used in AI. One of the techniques used in XAI to provide such interpretations is by computing the relevance of the input features to the output of an AI model. File fragment classification is one of the vital issues of file carving in Cyber Forensics (CF) and becomes challenging when the filesystem metadata is missing. Other major challenges it faces are: proliferation of file formats, file embeddings, automation, We leverage and utilize interpretations provided by XAI to optimize the classification of file fragments and propose a novel sifting approach, named SIFT (Sifting File Types). SIFT employs TF-IDF to assign weight to a byte (feature), which is used to select features from a file fragment. Threshold-based LIME and SHAP (the two XAI techniques) feature relevance values are computed for the selected features to optimize file fragment classification. To improve multinomial classification, a Multilayer Perceptron model is developed and optimized with five hidden layers, each layer with i×n\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$i \ imes n$$\\end{document} neurons, where i = the layer number and n = the total number of classes in the dataset. When tested with 47,482 samples of 20 file types (classes), SIFT achieves a detection rate of 82.1% and outperforms the other state-of-the-art techniques by at least 10%. To the best of our knowledge, this is the first effort of applying XAI in CF for optimizing file fragment classification.