Start Point Research Articles

Essential characteristics of rigid concrete airport pavements under cyclic traffic loading revealed from a thermodynamic perspective

The increasing global air traffic has placed higher demands on airport pavement design. However, the behavior of rigid concrete airport pavement (RCAP) under traffic loading is very complex, and the existing reliability theory and empirical concrete pavement analysis methods cannot detect the precise RCAP failure point. Based on this background, this paper attempts to study the failure of RCAP under traffic loading from a thermodynamic perspective. It selects the Federal Aviation Administration (FAA) test in Construction Cycle 8 (CC8) phase 3 as the research material. We apply the structural stressing state theory to equate the RCAP under traffic loading to a thermodynamic system with a phase transition, i.e., we model the whole process strain data as state variables. Then, analogous to the renormalization group method of Wilson's phase transition theory to reveal the critical point of the system, this study establishes matrixes (Modes) and Hamiltonians (Characteristic parameters) that can characterize the RCAP full-process stressing state evolution under traffic loading by accumulating the difference of state variables. We attempted to verify the effectiveness of this method under such complex working conditions, which can also be applied to many other high-speed time-variant loading conditions. By applying the clustering analysis criterion, we can reveal the phase transition points of the RCAP: elastoplastic branch (EPB), failure starting (FS), and progressive failure (PF) points, respectively. Taking the NW group as an example, the variances of EPB, FS, and PF points revealed by the mode and characteristic parameter curves conducted by the two homogeneous measured point selections, respectively, are 7.7,6.4, and 6.4, which are of exceptionally high stability. We also used thermodynamic modeling to reveal the phase transition points of the remaining three RCAPs and compared the effect of different joints on the phase transition points. Finally, this study also explores the feasibility of EPB-based concrete airport pavement design.

483. Pharmacokinetics of Nirmatrelvir and Ritonavir in COVID-19 Patients with Hemodialysis

Abstract Background Nirmatrelvir/ritonavir (Paxlovid) is one of the few therapeutic options for COVID-19. It is not recommended to use in patients with end-stage renal disease (ESDR), and large-scale clinical trials are needed to support its application in this population. We investigated the pharmacokinetics of nirmatrelvir/ritonavir (150 mg/100 mg twice a day) in COVID-19 patients with hemodialysis (HD). Methods SARS-Cov-2 tested positive patients with HD were included and given treatment with nirmatrelvir/ritonavir (150 mg/100 mg twice a day) for 5 days. For most patients, a 4 h-HD started 2 h after the morning dose on day 2. Blood samples were collected 4 h and 12 h after the first dose on day 1 to obtain peak and trough concentrations, respectively. And the blood samples at the start and finish time points of HD were drawn to observe the effect of dialysis on drug clearance. A tandem mass spectrometry (LC-MS/MS) method was conducted to quantify the nirmatrelvir and ritonavir concentrations. Results A total of 14 COVID-19 patients undergoing dialysis were enrolled, with 4 females and 10 males. The age was 66.6 ± 8.0 years and the body mass index (BMI) was 22.3 ± 3.5. The peak concentration of nirmatrelvir after the first dose was 4960 ± 1889 ng/mL. And the trough concentration was 2940 ± 1305 ng/mL, which was approximately 10 times above the EC90 (292 ng/mL). Nirmatrelvir concentration fell by 42% from 10426 ± 3191 ng/mL to 6035 ± 2402 ng/mL during 4 h-HD. The peak and trough concentrations of ritonavir were 816 ± 445 ng/mL and 326±201 ng/mL after the first dose, respectively. And the concentration fell by 17% during 4 h-HD. Based on the assumption of a first-order elimination kinetic, nirmatrelvir/ritonavir 150 mg/100 mg, once a day dose regimen was simulated which showed that the plasma concentration of nirmatrelvir could also achieve the target EC90 value.Figure 1.Plasma concentration of nirmatrelvir (blue circles) and ritonavir (orange circles) in COVID-19 patients with hemodialysis during the course of 150 mg/100 mg twice a day treatment. 4 h- hemodialysis was performed at 26 - 30 h after the first dose. Data are presented as the mean ± standard deviation. The open circles indicate the individual concentration data.Figure 2.Simulated plasma concentration data in dialysis patients following a single dose of 150 mg/100 mg nirmatrelvir/ritonavir. Long dashed line represents patients not on dialysis. Short dashed line represents patients receiving a 4 h - dialysis. Conclusion 150 mg/100 mg twice a day dose regimen of nirmatrelvir/ritonavir produced sufficient concentrations to reach the effective target in COVID-19 patients with HD. Simulation data suggested that a modified dose with 150 mg/100 mg once a day could also reach effective concentration. Our data provide evidence for the application of nirmatrelvir/ritonavir in patients with ESRD and further validation in large-scale investigation was needed. Disclosures All Authors: No reported disclosures

Preoperative mixed reality training improves trainee performance of glenoid guidewire positioning in shoulder arthroplasty in Walch B2 glenoid model

BackgroundVirtual reality training has demonstrated the capacity to improve resident performance with certain surgical skills. Mixed reality (MR) devices such as the Hololens 2 could theoretically be used in a similar way for medical education and skill acquisition. Our hypothesis is that a patient specific preprocedure MR training program for 10-15 minutes followed by glenoid guidewire placement with MR holographic assistance can improve guide pin placement enough to be significantly better than freehand (FH) guidewire placement. MethodsThirty glenoid models with a Walch B2 glenoid defect were 3D printed using ABS filament. Resident trainees were selected and randomized to FH guidewire placement or MR training cohorts that were matched by experience. An app was created and installed on the Hololens 2 to allow practice of glenoid guidewire placement in a pseudo-immersive environment and comparison to the desired plan. This was used for 10-15 minutes prior to definitive placement of the glenoid guidewire in the B2 models by the resident in the MR cohort and a 3D hologram was available during guidewire placement. The volunteers each placed 10 guidewires in B2 glenoid models. The models were 3D scanned back to 3D digital files. The digital models were aligned using the automated iterative closest point method. Measurements were taken in each axis to determine the deviation from the surgical plan in version and inclination in degrees and start point in mm. ResultsAverage starting point difference from the plan for the FH group was 2.52 ± 0.82 mm, and 1.49 ± 0 .71 mm for the MR group, P = .02. The absolute value average version difference from the plan for the FH group was 11.69 ± 8.02 degrees, and 5.3 ± 3.57 degrees for the MR group, P ≤ .0001. The absolute value average inclination difference from the plan for the FH group was 8.4 ± 6.68 degrees, and 7.11 ± 4.96 degrees for the MR group, P = .27. ConclusionPreprocedure MR training improves execution of the surgical plan for guidewire version and start point in a B2 glenoid model compared to FH.

Lean Ergonomics—an empirical combination of Management Science and Ergonomics

This paper presents Lean Ergonomics (LE) as an employee- and process-related method in a practice-oriented way. Stagnations in economic improvements of the processes, combined with known, high stresses of the basic workers on the shopfloor with ambiguous starting points of ergonomic measures hold broad analysis and optimization potential. This can be shown exploratively based on LE. 12 representative work processes at large reactors in the chemical industry form the study area. Each individual work process receives a Lean Ergonomics data set consisting of time data [standard deviation in min & %], objective ergonomics [EAWS] and subjective ergonomics [Borg, NASA-TLX; both pseudonymized]. Two process-identical production halls are provided, which is why KFzA (short questionnaire for work analysis) is also collected anonymously for additional general analysis of work system design. Consequently resulting in a diverse data structure of quantifiable person-related methods, objective, process-related loads and economically relevant, likewise process-related KPIs.

From intuition to AI: evolution of small molecule representations in drug discovery.

Within drug discovery, the goal of AI scientists and cheminformaticians is to help identify molecular starting points that will develop into safe and efficacious drugs while reducing costs, time and failure rates. To achieve this goal, it is crucial to represent molecules in a digital format that makes them machine-readable and facilitates the accurate prediction of properties that drive decision-making. Over the years, molecular representations have evolved from intuitive and human-readable formats to bespoke numerical descriptors and fingerprints, and now to learned representations that capture patterns and salient features across vast chemical spaces. Among these, sequence-based and graph-based representations of small molecules have become highly popular. However, each approach has strengths and weaknesses across dimensions such as generality, computational cost, inversibility for generative applications and interpretability, which can be critical in informing practitioners' decisions. As the drug discovery landscape evolves, opportunities for innovation continue to emerge. These include the creation of molecular representations for high-value, low-data regimes, the distillation of broader biological and chemical knowledge into novel learned representations and the modeling of up-and-coming therapeutic modalities.

Tumor segmentation via enhanced area growth algorithm for lung CT images

BackgroundSince lung tumors are in dynamic conditions, the study of tumor growth and its changes is of great importance in primary diagnosis.MethodsEnhanced area growth (EAG) algorithm is introduced to segment the lung tumor in 2D and 3D modes on 60 patients CT images from four different databases by MATLAB software. The contrast augmentation, color intensity and maximum primary tumor radius determination, thresholding, start and neighbor points’ designation in an array, and then modifying the points in the braid on average are the early steps of the proposed algorithm. To determine the new tumor boundaries, the maximum distance from the color-intensity center point of the primary tumor to the modified points is appointed via considering a larger target region and new threshold. The tumor center is divided into different subsections and then all previous stages are repeated from new designated points to define diverse boundaries for the tumor. An interpolation between these boundaries creates a new tumor boundary. The intersections with the tumor boundaries are firmed for edge correction phase, after drawing diverse lines from the tumor center at relevant angles. Each of the new regions is annexed to the core region to achieve a segmented tumor surface by meeting certain conditions.ResultsThe multipoint-growth-starting-point grouping fashioned a desired consequence in the precise delineation of the tumor. The proposed algorithm enhanced tumor identification by more than 16% with a reasonable accuracy acceptance rate. At the same time, it largely assurances the independence of the last outcome from the starting point. By significance difference of p < 0.05, the dice coefficients were 0.80 ± 0.02 and 0.92 ± 0.03, respectively, for primary and enhanced algorithms. Lung area determination alongside automatic thresholding and also starting from several points along with edge improvement may reduce human errors in radiologists’ interpretation of tumor areas and selection of the algorithm’s starting point.ConclusionsThe proposed algorithm enhanced tumor detection by more than 18% with a sufficient acceptance ratio of accuracy. Since the enhanced algorithm is independent of matrix size and image thickness, it is very likely that it can be easily applied to other contiguous tumor images.Trial registrationPAZHOUHAN, PAZHOUHAN98000032. Registered 4 January 2021, http://pazhouhan.gerums.ac.ir/webreclist/view.action?webreclist_code=19300

Isoxazole analogues of dibenzazepine as possible leads against ulcers and skin disease: In vitro and in silico exploration

Utilizing multi-target drugs shows great promise as an effective strategy against polygenic diseases characterized by intricate patho-mechanisms, such as ulcers, skin dermatitis, and cancers. The current research centers around the creation of hybrid compounds, connecting dibenzazepine and isoxazole, with the aim of exploring their potential as inhibitors for urease and tyrosinase enzymes. Analogs 6a, 6b, 6d, 6 h-6j, and 6 l demonstrated strong inhibitory potential against tyrosinase enzyme with IC50 values of 4.32 ± 0.31–12.36 ± 0.48. Whereas analogs 6a, 6c, 6e, 6f, 6h-6m, and 6r exhibited potent inhibitory activities against urease enzyme with IC50 values of 3.67 ± 0.91–15.60 ± 0.18 μM. Furthermore, compounds 6i, 6n, and 6r showed weak toxic effect in BJ-cell line, whereas the remaining compounds were found non-toxic to normal cell line. The mechanistic studies of potent inhibitors of both the enzymes showed competitive mode of inhibition. Molecular docking was employed to establish the relationship between structure and activity and to elucidate the interaction mechanism. This analysis revealed that the active analogs exhibited crucial interactions with the active site residues of urease and tyrosinase, thus corroborating our experimental results. Hence, the generated derivatives of dibenzazepine-linked isoxazoles present intriguing starting points for further investigations into their potential as inhibitors of urease and tyrosinase, with the potential for future modification and enhancement.

Evolution of steel-mortar interface undergoing stray current

Electrochemical testing methods are adopted as non-destructive techniques to provide insights into the evolution of steel-mortar interface undergoing stray current. The qualitative and quantitative information of both steel surface and mortar bulk are derived from electrochemical testing results at different ages. A series of variables such as curing duration (1d and 28d) of reinforced mortar specimens, starting point of stray current (1d and 28d), and external conditioning environment (Cl-free and Cl-rich) are investigated. It is found that in both Cl-free and Cl-rich environments the evolution of steel-mortar interface is significantly influenced by the curing duration and start points of stray current. At different ages the stray current exerts different effects on evolution of steel-mortar interface. At early age both positive and negative effects induced by stray current play roles in interfering steel-mortar interface, at later age stray current predominantly leads to negative effect.

ASPECTS OF SPEED AND AGILITY MONITORING IN PUPILS WHO PRACTICE TENNIS AS PHYSICAL ACTIVITY

Problem statement. Tennis is a sport that lately demonstrates that the final result is not just the player's talent for handling the rocket or the ability to send the ball where it is needed. The ensemble of physical abilities represents an increasing weight in the training process, even from the beginning in tennis, all these taking into account the specific stages of growth and development of the body. Speed and agility are some of the main directions that can be addressed in the physical training of young juniors, knowing the fact that, at this age, the body development processes are evolving, the approaching of these qualities being done with obvious effects. Purpose of Study. The purpose of the research was to highlight the importance of monitoring speed and agility during tennis players' training periods, the children's category. Methods. The study has had as participants 5 tennis players aged between 10 and 12 years(±0,84years). The tests used to monitor the speed and agility were: 15 m sprint; 5 x 10 m shuttle sprint; visual stimulus reaction and running in a 3x3m square by changing direction; from the "T" running towards the net - approaching to a smart indicator and return to "T". Findings and Results. In terms of monitoring the running during 15 m, the time obtained ranged between 2.91 s - 3.21 s, while in the shuttle test, the time ranged between 12.25 s and 17.73 s. The agility tests expressed very good indicators regarding the ability of the tennis players to react, run to an indicated point and return to the start point. Conclusions. It was revealed that speed and agility monitoring in young junior tennis players is a very useful and important manner to achieve adequate, objective and proper training, especially at this age. The monitoring tests and hardware that were used proved to be motivational tools for the athletes having the chance to interact with some devices that gave them objective and smart feedback.

“The Great Game” — confrontation between the Anglo-Saxon and Russian world

This article is devoted to understanding the essence, defining the spatial and time frames, as well as describing the most significant episodes of the development of The Great Game — the policy of containing the development of Russia by Anglo-Saxon elites and powers, dating back more than two centuries. Perceiving Russia as the main obstacle to achieving its global geopolitical hegemony, Anglo-Saxon elites and powers actively waged large-scale diplomatic, economic, information wars and battles against Russia, military operations, conducted operations to organize coups d’etat and “revolutions”, trying to destroy Russia both by actions from outside and undermining it from within. The author of the article draws attention to the origin of the very concept of “Great Game”, as well as its use in a narrow and broad sense. In a narrow sense, this concept is used to denote the active geopolitical and economic confrontation between Great Britain and the Russian Empire for control over Central Asia throughout the 19th century (or according to a number of authors, starting in 1856) until 1907. Broadly, to indicate the global geopolitical confrontation between the Anglo-Saxon and Russian world from thebeginning of the 19th century and continuing to the present.The author believes that the interpretation of the “Great Game” in a narrow sense is incorrect, politically biased and deliberately aimed at hiding the knowledge of the “Great Game” from the mass audience.The author considers various points of view of domestic and foreign authors to determine the starting and final point, time and spatial framework of the “Great Game”. He refers to the vivid episodes of The “Great Game”: the Palace Coup of 1801 — the assassination of Emperor Paul I; “Napoleonic” wars; December putsch of 1825; Confrontation with England in Turkestan, the Caucasus, other regions; Russo-Persian and Russo-Turkish Wars, Crimean War, Russo-Japanese War; the Caucasian War and events in Central Asia and Turkestan; Financing and organization in the Russian Empire of the “fifth column”; Revolutionary events of 1905–1907; World War I; 1917 Revolution; Russian Civil War; Support for “intra-party” opposition; Bringing A. Hitler to power in Germany; World War II organization; “Cold War”, Dismemberment of the USSR; Chechen Wars; “Color revolutions” in the post-Soviet space; The 2008 war and Georgia’s “coercion” to peace; 2014 coup d’état, the subsequent civil war in Ukraine, start of Special Military Operation.

Identification of the energy crisis in the EU electricity markets

In the second half of 2021 - the first half of 2023, the EU electricity markets were under unprecedented pressure caused by soaring gas prices and aggravated by other fundamental factors. This period corresponds to the energy crisis in the EU electric power sector. However, all EU electricity markets responded to the energy crisis differently. This paper proposes a methodology for revealing the energy crisis in the electricity market, which is based on the tools of descriptive statistics, explanatory data analysis and k-means clustering which allows to identification duration and phases of the energy crisis such as escalation, peak, and recovery phases. Using this methodology, the energy crisis was identified in the EU electricity markets (by separate bidding zones), and as a result, the starting and ending points of the energy crisis, as well as the changing by phases, were determined. Additionally, the use of hierarchical and agglomerative clustering methods made it possible to divide all EU electricity markets into 9 clusters by the evolution of the energy crisis and identify unaffected, resilient vulnerable markets to the energy crisis, and markets with their own dynamics.

The Hitchhiker’s Guide to Outer Space Patents

Investment in space technologies has predominantly been a prerogative of the public sector. Now increasing privatization and commercialization of space markets is creating opportunities to develop new space applications. The potential to commercially leverage intellectual property is a motivating factor behind this private financing and plays a key role in helping private companies secure returns on investment. International space law treaties remain silent on the notion of intellectual property and intellectual property treaties lay heavy emphasis on territorial application of patent law, thereby creating a theoretical disconnect. Legal machinery drafted for activities on board the International Space Station (ISS) and the US Patents in Space Act serve as good starting points in bridging the gap between patents and space law by advancing the concept of quasi-territoriality. However, in doing so, they expose the space-patent market to possibilities of forum shopping, flags of convenience and race to the bottom scenarios. Lack of a reliable legal regime to address issues of patent infringement can negatively influence the future development of the space sector. The resolution to this problem is a new international legal framework that establishes uniform conditions for enforcement of space-based patents. outer space, patents, space commercialization, extra-terrestrial jurisdiction

Discovery of a novel GPR35 agonist with high and equipotent species potency for oral treatment of IBD

The G protein-coupled receptor 35 (GPR35) has been identified as a potential target in the treatment of inflammatory bowel disease (IBD). However, the lack of high and equipotent agonists on both human and mouse GPR35 has limited the in vivo study of GPR35 agonists in mouse models of IBD. In this study, structural modifications to lodoxamide provides a series of high and equivalent agonists on human, mouse, and rat GPR35. These molecules eliminate the species selectivity of human to mouse and rat orthologs that have been prevalent with GPR35 agonists including lodoxamide. The cLogP properties are also optimized to make the compounds more obedient to drug-like rules, yielding compound 4b (cLogP = 2.41), which activates human, mouse or rat GPR35 with EC50 values of 76.0, 63.7 and 77.8 nM, respectively. Oral administration of compound 4b at 20 mg/kg alleviates clinical symptoms of DSS-induced IBD in mice, and is slightly more effective than 5-ASA at 200 mg/kg. In summary, it can serve as a new start point for exploiting more potent GPR35 agonists without species differences for the treatment of IBD, and warrants further study.

Optimized Quantum Circuit for Quantum Security Strength Analysis of Argon2

This paper explores the optimization of quantum circuits for Argon2, a memory-hard function used in password hashing applications. With the rise of quantum computers, the security of classical cryptographic systems is at risk. This paper emphasizes the need to accurately measure the quantum security strength of cryptographic schemes through highly optimized quantum circuits for the target cryptography algorithm. The proposed method focuses on two perspectives: qubit reduction (qubit-optimized quantum circuit) and depth reduction (depth-optimized quantum circuit). The qubit-optimized quantum circuit was designed to find a point where an appropriate inverse is possible and reuses the qubit through the inverse to minimize the number of qubits. The start and end points of the inverse are determined by identifying a point where qubits can be reused with minimal computation. The depth-optimized quantum circuit reduces the depth of the quantum circuit by using the minimum number of qubits necessary without performing an inverse operation. The trade-off between qubit and depth is confirmed by modifying the internal structure of the circuits and the quantum adders. The qubit optimization achieved up to a 12,229 qubit reduction, while the depth optimization resulted in an approximately 196,741 (approximately 69.02%) depth reduction. In conclusion, this research demonstrates the importance of implementing and analyzing quantum circuits from multiple optimization perspectives. The results contribute to the post-quantum strength analysis of Argon2 and provide valuable insights for future research on optimized quantum circuit design, considering the appropriate trade-offs of quantum resources in response to advancements in quantum computing technology.

The Geographical Coexist of the Migratory Birds, Ticks, and Nairobi Sheep Disease Virus May Potentially Contribute to the Passive Spreading of Nairobi Sheep Disease

Nairobi sheep disease (NSD) is a hemorrhagic vector-borne disease of small ruminants caused by the Nairobi sheep disease virus (NSDV), also known as Ganjam virus (GV). NSDV and GV refer to the same virus. The NSDV has been identified in East Africa, India, Sri Lanka, and China, and NSDV vector ticks can be carried by birds. There is few research on the mechanism of the global cycle and spillover of NSDV. Based on the prediction of the high probability distribution areas of NSD by the maximum entropy model (MaxEnt), the possible passive transport routes of NSDV vector ticks by migratory birds were simulated for further evaluation. The transmission probability of NSDV vector ticks by migrating birds was calculated using evaluations of the parasitism intensity of ticks on migratory birds at start points, the flying burden of parasitized birds, and the attachment coefficient of ticks on birds during migration. A total of 31 potential transport routes were predicted, which, through interaction with each other, constitute a spreading network for NSDV. Seven species of migratory birds were predicted as intra or interregional carriers. Our study first provides measurable support for estimating the possibility of passive migration of NSDV vector ticks by migratory birds that may be potential carriers of ticks and proposes a transmission mechanism between all known natural foci and potential natural foci. These findings highlight the necessity of cooperation in the management of the NSDV in all known and potential natural foci located in different countries, with the aim of blocking global circulation in a cost-effective way. Furthermore, these findings may also contribute to the prevention of other similar diseases.

Implementation of A*(Star) Algorithm in Robots Object Movement

Today the development of robots has increased a lot. Over time the robot can used as a medium of learning and education. The maze mapping system can be used as educational media in robotics. In this study, the idea was obtained to design a robot moving objects that can move on a flat striped plane like a line tracer robot. Robot it adopts a maze mapping system to find the fastest path in moving objects. These objects are in the form of mini objects that have been given a color consisting of red, yellow, green, and blue. The four colors are used as a reference for the robot to detect objects based on the color that will be moved from the object detection start point to the available finish point. The method to be used on the robot is A*. The A* algorithm can find the fastest route on the path traversed by the robot, by adding up the actual distance with the estimated distance, thus making it optimal in the search for the route. The microcontroller used on This robot is an Arduino Due which functions to enter data from the results of sensor readings is on the robots. The sensors consist of an infrared module that functions as a detector line and a TCS34725 color sensor to detect the object to be moved. This wheeled robot uses a DC motor with a voltage of 12V to drive the two wheels. Then 10 times experiment to determine the fastest path with 1 type of color, obtained success with 70%. The results of this study can be used as a comparison material for the A* method with the A* method, another fastest path search.

Implementation Of Android-Based Fish Detection &amp; Recognition System Using Convolutional Neural Network Method

Today the development of robots has increased a lot. Over time the robot can used as a medium of learning and education. The maze mapping system can be used as educational media in robotics. In this study, the idea was obtained to design a robot moving objects that are able to move on a flat striped plane like a line tracer robot. Robot it adopts a maze mapping system to find the fastest path in moving objects. These objects are in the form of mini objects that have been given a color consisting of red, yellow, green, and blue. The four colors are used as a reference for the robot to detect objects based on the color that will be moved from the object detection start point to the available finish point. The method to be used on the robot is A*. The A* algorithm is able to find the fastest route on the path traversed by the robot, by adding up the actual distance with the estimated distance thus making it optimal in the search for the route. The microcontroller used on This robot is an Arduino Due which functions to enter data from the results of sensor readings is on the robots. The sensors consist of an infrared module that functions as a detector line and TCS34725 color sensor to detect the object to be moved. This wheeled robot using a DC motor with a voltage of 12V to drive the two wheels. Than 10 times experiment to determine the fastest path with 1 type of color, obtained success with 70%. The results of this study can be used as a comparison material for the A* method with the A* method another fastest path search.

What we talk about when we talk about class: discourse about the working class in the Church of England General Synod 2018–2022

ABSTRACT The Church of England struggles to talk clearly about class. This article examines discourse in the Church of England General Synod to consider both the language and themes which appear when middle-class Anglicans discuss class. It is an attempt to ‘turn the gaze’ on the powerful who allude to class whilst rarely using explicit language, preferring instead to talk about ‘the poor’, ‘disadvantaged’ and ‘deprived’. The article analyses why euphemistic reference to class are a problem, using Synod as an example. It explores three recurring themes – good news stories, leadership and church history – arguing that when these themes occur the working classes are largely presented as homogenous, lacking in agency and in need of a heroic church. The article argues that a theologically robust vision is necessary for the dismantling of classism in the Church. It outlines some promising theological starting points taken from General Synod and recent theological work by working-class theologians.

Asymmetric Folded Plate with Parallel Edges in Validation of their Static Behavior by Combining Vlasov Torsion Theory with Bernoulli Bending Theory

Aims: A new hybrid procedure that combines the Vlasov torsion theory with the Bernoulli bending theory is presented herein, to demonstrate qualitatively and quantitatively the operation of asymmetric folded plates with parallel edges, which are loaded with gravity static loads. Background: A recently proposed technique based on Vlasov torsion theory is used for the exact calculation of the Principal Elastic Reference System in a reinforced concrete folded plate having an asymmetric thin-walled open cross-section with parallel edges. Moreover, the warping moment (or bi-moment) concept of the Vlasov theory is combined with the pure-bending around two axes, according to the Bernoulli bending theory, to determine the normal stresses along the longitudinal dimension of the folded plate. Methods: Τhe warping properties of a thin-walled open cross-section are determined by calculating: (a) the elastic characteristics (elastic center, principal axes) of the section, (b) the principal start point, the sectorial coordinates, the wrapping moment of inertia and the wrapping stiffness of the section. Finally, the normal stresses along the longitudinal dimension are calculated considering the bi-axes flexure with the bi-moment phenomenon. Results: Τhe exact solution of normal stresses at the middle section of an examined folded plate along the longitudinal dimension is found by combining the Bernoulli bending theory for prismatic beams and the Vlasov torsion theory for thin-walled open sections. Conclusion: The current procedure can be used as a benchmark analysis method of asymmetric folded plates in order to evaluate the reliability of the results of various analysis F.E.M. software, covering an open issue of the structural analysis of special structures.

QuadCDD: A Quadruple-based Approach for Understanding Concept Drift in Data Streams

Concept drift is a prevalent phenomenon in data streams that necessitates detection and in-depth understanding, as it signifies that the statistical properties of a target variable, which the model aims to predict, change over time in unforeseen ways. Existing detection methods predominantly aim to identify the drift start time, which lack comprehensive understanding of data streams, leading to a loss of drift information. In this paper, we present a novel Quadruple-based Approach for Understanding Concept Drift in Data Streams (QuadCDD) framework that not only detects and predicts the concept drift start point but also offers a more detailed analysis of concept drift through the use of quadruples, encompassing drift start, drift end, drift severity, and drift type. Our framework employs quadruples to enable informed decision-making and adopt appropriate actions to handle various concept drifts, effectively maintaining high and stable performance in data streams with concept drift. Experimental results validate the effectiveness of our QuadCDD framework in accurately detecting and understanding concept drifts, as well as in preserving the stability and performance of models in the presence of these drifts.