Calculation Of Slope Research Articles

Water Pipeline Leak Detection Method Based on Transfer Learning

In order to improve the accuracy of leakage detection in water pipelines, this paper proposes a novel method based on Transformer and transfer learning. A laboratory test platform was established to obtain datasets with rich leakage characteristics. An enhanced feature extraction technique using a shift window input method mapped the NPW sequences into embedding vectors, effectively capturing the fine-grained features while reducing the sequence length, thereby enhancing the Transformer’s retention of sequence details. An improved Transformer encoder was pre-trained on the Experimental pipeline dataset and refined with limited leakage data from real pipelines for accurate detection. Additionally, a novel signal difference-based method was introduced for precise leak localization. The pressure signal was denoised, and the inflection points were identified by subtracting two signals. The points between the inflection and lowest signal points were traversed, with slope calculations optimizing the time delay computations. A leakage simulation test was conducted on a section of a raw water pipeline in Shanghai, and the test results confirmed the effectiveness of these methods. A 100% detection rate, zero false alarms, and a relative positioning error of less than 3.14% were achieved on a test set of 45 instances.

Iron carbonate hydroxide-iron oxide hetero-phase catalyst: A bifunctional electrocatalyst for urea boosted overall water splitting

Iron carbonate hydroxide-iron oxide hetero-phase bifunctional electrocatalyst was directly fabricated on nickel foam (NF), which exhibited strong urea oxidation reaction (UOR) and overall water splitting including sea water splitting. Hydrothermal method was adopted for fabrication of iron carbonate hydroxide-iron oxide catalyst (1–3) and deposition time was varied (3 h (1), 6 h (2) and 12 h (3)) to optimize the electrocatalytic activity. FTIR and X-ray photoelectron spectroscopic (XPS) analysis suggested the formation of iron carbonate hydroxide-iron oxide. OER studies revealed relatively strong activity for 1 compared to 2 and 3 in alkaline condition. 1 required the overpotential of 238 mV for producing the current density of 50 mA/cm2 whereas 2 and 3 needed 248 and 280 mV, respectively. In contrast, 3 showed strong HER activity that required overpotential of 301 mV to achieve 50 mA/cm2 whereas 2 and 1 needed 303 and 343 mV, respectively. Hence, 2 was chosen to fabricate overall water splitting and UOR. In presence of urea, 2 required low overpotential (130 mV) to produce 50 mA/cm2 current density. For overall water splitting, 2 needed 1.71 V to produce 10 mA/cm2 current density. The UOR combined cell required only 1.56 V to achieve 10 mA/cm2. Tafel slope, impedance and electrochemical active surface area (ECSA) calculation suggests improved kinetics with reduced charge transfer resistance and more active sites for 2. The stability studies indicated good stability of 2 in OER, HER and overall water splitting. After catalysis analysis indicated the formation of FeOOH and FeO active species during OER and HER, respectively. Thus, the present work developed a low-cost transition metal based bifunctional electrocatalyst for overall water splitting.

Innovative Z-scheme MnV₂O₆/g-C₃N₄ nanocomposite: photocatalytic, electrocatalytic and biosensing properties

Herein, we report Z-scheme mediated pn-junction between manganese vanadate and graphitic carbon nitride, highlighting its photocatalytic degradation capabilities, hydrogen and oxygen evolution reactions and electrochemical biosensing efficacy towards ascorbic acid. The material was synthesized using a co-precipitation method followed by annealing and characterized through XRD, FESEM, FTIR, XPS, UV–visible spectroscopy and EIS in conjunction with Mott-Schottky analysis. The heterojunction demonstrates promising results for photocatalytic degradation of organic dyes. This work further discusses the carrier concentration, decay rate, cyclic stability and photocatalytic degradation mechanism. The results for HER and OER indicate the synthesized material's capability for oxygen and hydrogen production at commercial scale, with Tafel slope calculations providing additional insights. Electrochemical biosensing of ascorbic acid reveals that the material can detect low concentrations of ascorbic acid under various parameters. The results indicate that the material is highly suitable for environmental degradation, electrocatalytic production of hydrogen and oxygen and medical diagnostics such as electrochemical biosensing.

PhenoMetaboDiff: R Package for Analysis and Visualization of Phenotype Microarray Data.

PhenoMetaboDiff is a novel R package for computational analysis and visualization of data generated by Biolog Phenotype Mammalian Microarrays (PM-Ms). These arrays measure the energy production of mammalian cells in different metabolic environments, assess the metabolic activity of cells exposed to various drugs or energy sources, and compare the metabolic profiles of cells from individuals affected by specific disorders versus healthy controls. PhenoMetaboDiff has several modules that facilitate statistical analysis by sample comparisons using non-parametric Mann-Whitney U-test, the integration of the OPM package (an R package for analysing OmniLog® phenotype microarray data) for robust file conversion, and calculation of slope and area under the curve (AUC). In addition, the built-in visualization allows specific wells to be visualized in selected pathways for a particular time slice. Compared to the standard OPM package, the features developed in PhenoMetaboDiff assess metabolic profiles by employing statistical tests and visualize the dynamic nature of the energy production in several conditions. Examples of how this package can be used are demonstrated for several rare disease conditions. The incorporation of a graphical user interface expands the utility of this program to both expert and novice users of R. PhenoMetaboDiff makes the deployment of the cutting-edge Biolog system available to any researcher.

News-Driven Volatility: A Deep Dive into Leading Nifty Healthcare Stocks

This study conducts a comprehensive analysis of stock price volatility within the healthcare sector, concentrating on five prominent companies: Sun Pharma, Dr. Reddy, Cipla, Apollo Hospitals, and Divis Laboratories. Leveraging annual daily data from the Nifty Healthcare Index for 2023, the research delves into the intricate relationship between stock price fluctuations and market-sensitive news events. Employing a robust methodology that integrates slope calculations, ANOVA, Tukey’s HSD tests, moving averages, and standard deviation metrics, the study evaluates the differential impact of these events on stock volatility. The findings reveal significant volatility, with Apollo Hospitals demonstrating the highest levels of price variability. The research highlights the profound influence of regulatory shifts, financial performance metrics, and macroeconomic conditions on stock behavior. These insights are pivotal for investors and financial analysts seeking to navigate the complex dynamics of the healthcare market. The application of moving averages further refines the analysis, offering a sophisticated lens through which to assess and interpret market trends, ultimately enhancing the strategic decision-making process within this critical sector.

Impact of Climate Change on the Cryosphere of the Ugam Chatkal National Park, Bostonliq District, Uzbekistan, During the Post-Soviet Period, Based on Remote Sensing and Statistical Analysis

The cryosphere, including glaciers, snow cover, and ice sheets, plays a crucial role in global climate regulation. Therefore, monitoring is crucial for understanding climate dynamics at both regional and global scales. According to scientists studying global climate change, Central Asia is vulnerable to global temperature increases. However, research aimed at analyzing the impact of climate change on the regional cryosphere is lacking. This study investigated the impact of climate change on the cryosphere of the Ugam Chatkal National Park in Uzbekistan's Bostonliq District, focusing on the period following the dissolution of the Soviet Union (1991–2022). This study used remote sensing data and statistical analyses, such as the Mann–Kendall test and Sen's slope calculations, to evaluate trends in snow and ice cover, glacier extent, and vegetation health. Key indices, such as normalized difference vegetation index, normalized difference snow index, normalized difference glacier index, and normalized difference snow-ice index, were used to measure the mean values of these environmental parameters. The findings indicate a significant decrease in snow/ice cover (slope =-0.0048, tau =-0.193), underscoring the profound effects of climate warming on the region's water resources and ecological balance. The analysis highlights the urgency of implementing adaptive management strategies to mitigate these impacts, ensure the sustainability of water supply, and preserve biodiversity in Central Asia's vulnerable mountain ecosystems.

The Traditional Intramedullary Axis Underestimates the Medial Tibial Slope Compared to Transmalleolar Sagittal Axis in Image-based Robotic-Assisted Unicompartimental Knee Arthroplasty.

The medial unicompartmental knee arthroplasty (mUKA) has been recognized as an excellent treatment for medial knee osteoarthritis. The posterior tibial slope (PTS) is measured radiographically with the intramedullary axis (IMA) to the tibial baseplate on the sagittal plane radiograph. However, in most computer-navigated or robotic mUKAs, the PTS is set from a transmalleolar axis (TMA).The PTS difference was evaluatedbetween the sagittal TMA and the sagittal IMA of patients undergoing a CT-based primary robotic-assisted mUKA.We retrospectively reviewed the preoperative computed tomography (CT) scans taken according to the MAKO system protocol (Stryker) of 67 patients undergoing mUKAs. We measured the angular difference between the IMA and the TMA in the sagittal plane.Using the TMA to set the PTS the estimation of the slope of the medial tibial plateau would increase by an average of 1.9 ± 3.2 degreescompared to the IMA. Furthermore, in nineknees, PTS was decreased.Tibial components implanted with the help of a CT scan-based preoperative planning MAKO will show an average of 1.9 degrees more than those measured on sagittal radiographs potentially of concern for knee kinematics. A universal language is needed to standardize the slope calculation and the respective reference axis used.

Analysis of the relationship between unregistered employment and occupational accidents in Turkey.

Occupational accidents are anticipated to decline when unregistered employment declines because of more regulated working conditions, inspections, and opportunities for legal protection. In the study, the accuracy of this presumption was examined. This study aims to examine how to protective legal regulations generate a relationship between occupational accidents and informal employment such as the Occupational Health and Safety Law in Turkey. In the research, which was structured within the framework of the quantitative method, various levels of relationship chains were created between informal employment and occupational accidents using correlation and slope calculations. The official data set was created using secondary data from the Turkish Statistical Institute and the Social Security Institution. It has been determined that the low positive correlation (r = 0.166) between unregistered employment and occupational accidents in 2008-2012 (pre-legislation period) in Turkey changed to the medium-negative direction (r=-0.602) in 2013-2020 (legislation period). While the assumption that unregistered employment would decrease in the first period was confirmed, the hypothesis was falsified by the increase in occupational accidents despite the decrease in informality in the second period. This study is unique because it shows that in a developing country where unregistered employment is high, the protective regulations for work accidents do not reflect a decrease in the number of work accidents in the short and medium term.

Research on slope algorithm based laser welding guidance technology for 3D vision inspection of thin-walled parts

Visual guidance technology advances quickly and so do the technical requirements for weld trajectory, which needs to fulfill performance indices for high precision, anti-interference and quick processing. In this study, the approach of getting 3D point cloud data by directly scanning the workpiece to be welded with a 3D scanner is used because it is more precise and reliable than processing gray-layer data obtained from a depth camera, turning it into a 3D point cloud. The weld boundary is retrieved by slope calculation for the butt weld after preprocessing the three-dimensional point cloud data (cut, down-sampling, and abnormal value removal). The center point is then determined. After that, a welding trajectory is produced by fitting the center point, which is transmitted back to the actuator to guide its welding work and realize the identification and tracking of the weld.

Stability Analysis of Seismic Slope Based on Relative Residual Displacement Increment Method

The seismic stability analysis of a slope is a complex process influenced by earthquake action characteristics and soil mechanical properties. This paper presents a novel seismic slope stability analysis method using the relative residual displacement increment method in combination with the strength reduction method (SRM) and the actual deformation characteristics of the slope. By calculating the relative displacement of the key point inside the landslide mass and the reference point outside the landslide mass after each reduction, the safety factor of the slope is determined by the strength reduction factor (SRF) corresponding to the maximum absolute value of the relative residual displacement increment that appears after a continuous plastic penetration zone. The method eliminates interference caused by significant displacement fluctuations of key points under earthquake action and reduces the subjective error that can occur when manually identifying displacement mutation points. The proposed method is validated by dynamic calculations of homogeneous and layered soil slopes and compared with three other criteria: applicability, accuracy, and stability.

Numerical Simulations of Failure Mechanism for Silty Clay Slopes in Seasonally Frozen Ground

Landslide damage to soil graben slopes in seasonal freezing zones is a crucial concern for highway slope safety, particularly in the northeast region of China where permafrost thawing is significant during the spring. The region has abundant seasonal permafrost and mostly comprises powdery clay soil that is susceptible to landslides due to persistent frost and thaw cycles. The collapse of a slope due to thawing and sliding not only disrupts highway operations but also generates lasting implications for environmental stability, economic resilience, and social well-being. By understanding and addressing the underlying mechanisms causing such events, we can directly contribute to the sustainable development of the region. Based on the Suihua–Beian highway graben slope landslide-management project, this paper establishes a three-dimensional finite element model of a seasonal permafrost slope using COMSOL Multiphysics 6.1 finite element numerical analysis software. Additionally, the PDE mathematical module of the software is redeveloped to perform hydrothermal-coupling calculations of seasonal permafrost slopes. The simulation results yielded the dynamic distribution characteristics of the temperature and seepage field on the slope during the F–T process. The mechanism behind the slope thawing and sliding was also unveiled. The findings provide crucial technical support for the rational analysis of slope stability, prevention of sliding, and effective control measures, establishing a direct linkage to the promotion of sustainable infrastructure development in the context of transportation and roadway engineering.

Stability analysis of loess fill slope supported by frame prestressed anchors considering tensile strength cut-off

In the stability analysis of loess fill slope, the fissure nature of loess is often ignored, which makes the stability calculation of fill slope too conservative. Based on the upper limit theory of plastic limit analysis, the stability analysis model of loess-filled fissured slope supported by frame prestressed anchors was established. Considering the tensile strength cut-off yield property of soil, the stability coefficient of slope was calculated, and the influence of different factors on slope stability was analyzed. The results show that ignoring the fissures in loess will overestimate the stability of the fill slope, and the support structure can significantly improve the stability of the loess-filled fissure slope. The research results of this paper can further enrich the stability analysis theory of loess-filled fissured slope supported by frame prestressed anchors, which is of great significance to guide engineering practice.

Phreatic Surface Calculation and Stability Analysis of Three-Dimensional Bank Slopes with Reservoir Drawdown

Phreatic Surface Calculation and Stability Analysis of Three-Dimensional Bank Slopes with Reservoir Drawdown

Disturbed zone calculation and stability evaluation method of footwall slope with slip-shear failure under excavation

Disturbed zone calculation and stability evaluation method of footwall slope with slip-shear failure under excavation

Numerical analysis of horizontal bearing capacity of pile in clay slope

In this study, a series of numerical calculations were performed to investigate the lateral behavior of piles in slopes and in horizontal ground. First, a numerical model is created and then verified by comparing the numerical results with the results of model tests. The numerical results agree well with the results of model tests. Second, numerical calculations of different slopes were conducted to explore the effect of slope angle on the horizontal displacement of pile and bending moment. Then, the effect of slope angle on the foundation stiffness proportional coefficient m is investigated. The stress distribution of soil around the pile and the deformation of pile at different slope angles are also compared. Finally, the p–y curves of the different slope angles are compared. An improved p–y method is proposed to consider the effect of slope angle based on the numerical results. The results show that the bearing capacity of piles decreases with an increase in slope angle. The horizontal displacement of pile nonlinearly decreases along the pile body with the depth of pile. The bending moment of piles increases along the pile body with an increase in pile depth, and until 0.5 times of the pile length, the bending moment reaches the maximum value. As the slope angle increases, the maximum of bending moment tends to decrease. The distance from the slope toe to the pile section has a little influence on the pile bending moment and horizontal displacement. With an increase in slope angle, the horizontal foundation coefficient m gradually decreases.

Phreatic surface calculation and stability analysis of three-dimensional slopes under rainfall infiltration

Phreatic surface calculation and stability analysis of three-dimensional slopes under rainfall infiltration

FLAC3D-based slope stability analysis and calculation

Slope stability is related to the normal operation of the project and operational safety, and there have been various methods for evaluating slope stability for a long time, among which the numerical analysis method is the most popular and comprehensive analysis and evaluation method nowadays. In this paper, the numerical simulation is carried out by FLAC3D software to solve the safety coefficient of the slope and the slope stability analysis in combination with the slope of the inverted siphon entry road section at the beginning of Xiaoyuiba, and the conclusions are in line with the actual situation, which shows that FLAC3D software can carry out scientific analysis and evaluation of slope stability and make comprehensive judgement.

Risk attachment Sen’s Slope calculation in hydrometeorological trend analysis

Risk attachment Sen’s Slope calculation in hydrometeorological trend analysis

Features of the methods of the slope stability evaluation

Solving slope stability problems and selecting optimal calculation methods remains an urgent problem. A significant variety of engineering and geological conditions, and a large number of factors that can affect the stability of the slope, lead to the need to select a calculation method in each specific case.
 The article examines the features of the two most common methods of calculating the stability of slopes and slopes in geotechnical practice. The first group - limit equilibrium methods, has been widely tested and is the basis of simple engineering calculations of slope stability. Within the framework of the article, the circular cylindrical sliding surface method based on the method of moments, the method of horizontal forces, the methods of tangential forces based on the analytical method of H.M. Shakhunyanets, with the introduction of calculation schemes and the mathematical apparatus of these methods, are considered. The method of L. P. Yasyunas was also noted due to the idea he highlighted of simplifying calculations using unit shear pressure, which is generally an interesting idea but has certain difficulties in practical implementation. The key advantages and disadvantages of the finite element method for solving slope stability problems are given. The question of combining MSE with the method of reducing strength to determine the coefficient of stability of slopes is highlighted.
 Several software complexes are presented that allow us to automatically determine the coefficient of stability of slopes based on different groups of methods. A comparative calculation of the imaginary slope of PC "Plaxis 2D" and "Ukis" was performed. Two formulations of the problem are considered: for a free slope and with an additional load in the upper part of the slope. The received coefficients of stability and the shape of the sliding surface were analyzed and a generalized table of results was formed. The displayed results demonstrate sufficient convergence, which confirms the possibility of using the specified methods in engineering practice to determine the stability coefficient of slopes.

ETHOS.PASSION: An open-source workflow for rooftop photovoltaic potential assessments from satellite imagery

The assessment of rooftop photovoltaic potential has become increasingly accurate due to the expanding availability of satellite imagery and improvements in computer vision methods. However, the analysis of satellite imagery is impeded by a lack of transparency, reproducibility, and standardized description of the methods employed. Studies are heterogeneous, target different types of potential with redundant efforts, and are mostly not open source or use private datasets for training. With respect to the estimation of photovoltaic potential, this study proposes a conceptual frame of reference for clearly identifying tasks, their relationships, and their data. Additionally, the open-source workflow ETHOS.PASSION is introduced, which integrates the assessment of geographical, technical and economic potentials of regions under consideration along with the calculation of surface areas, orientations and slopes of individual rooftop sections. ETHOS.PASSION also includes the detection of superstructures, i.e., obstacles such as windows or existing photovoltaic installations. The novel two-look approach combines two deep learning models identifying rooftops and sections, and an additional model for the identification of superstructures. The three models show a mean Intersection Over Union between classes of 0.8478, 0.7531 and 0.4927 respectively, and more importantly display consistent results amongst randomly sampled real world images. The final results are evaluated for multiple datasets and compared against other studies, with a case study in the Aachen region of Germany being presented.