Analytic Maps Research Articles

Geophysical characterization of lamproite fields in the Dharwar craton using VLF-EM and advanced filtering techniques: insights from conductivity analysis and analytical signal mapping

Abstract This study presents a geophysical investigation of the lamproite fields located in the Dharwar craton, aiming to map conductivity variations using contemporary techniques. The study employs very low-frequency electromagnetic (VLF-EM) methods, applying Hilbert transformations, and first-order vertical derivatives to the Fraser and Karous–Hjelt filtered contoured of VLF-EM data. The peninsular gneissic complex (PGC) granitic rocks in the study area experienced tectonic forces, resulting in fractures along specific WNW–ESE to NW–SE trends. Within these crustal weak zones, these lamproites are emplaced. The lamproite pipes are volcanic rocks. As a result, the top portions are weathered and tend to conductive, and the conductivity tends to decrease with depth. The volumetric size of lamproites ranges from centimetres to hundreds of metres, unlike kimberlites that are larger. Hence, the exploration of lamproites poses challenges. The contours of in-phase and quadrature components were used to identify the cluster of lamproite zones within the study area. From this study, the boundaries of the lamproite pipes were clearly identified using real component's analytical and first-order vertical derivative signal contour maps. The VLF-EM pseudo-depth current density section was used to identify anomalous lamproite, pipes, and their subsurface extensions, along with the surrounding formations. The current investigation findings specify that the lamproites exhibit weak conductive. These results provide valuable insights for exploration efforts within the Dharwar craton, and can aid in the identification and mapping of the lamproite fields.

A numerical study of rigidity of hyperbolic splittings in simple two-dimensional maps

Chaotic hyperbolic dynamical systems enjoy a surprising degree of rigidity, a fact which is well known in the mathematics community but perhaps less so in theoretical physics circles. Low-dimensional hyperbolic systems are either conjugate to linear automorphisms, that is, dynamically equivalent to the Arnold cat map and its variants, or their hyperbolic structure is not smooth. We illustrate this dichotomy using a family of analytic maps, for which we show by means of numerical simulations that the corresponding hyperbolic structure is not smooth, thereby providing an example for a global mechanism which produces non-smooth phase space structures in an otherwise smooth dynamical system.

Heterostructure of Fe2O3 doped Alstonia Scholaris wood waste derived activated carbon based electrode for supercapacitor applications

The production of environmentally friendly and long-lasting supercapacitor electrodes employing activated carbons obtained from industrial wood waste from Alstonia Scholaris by traditional chemical activation using H2SO4 at High temperature activation is shown in this paper. The new traits of metal oxide (Fe2O3) doped Alstonia Scholaris wood derived activated carbon employing a slow precipitation technique. The produced activated carbon and the Fe2O3 doped activated carbon samples were examined using a variety of analytical methods, including XRD, FESEM, TEM-HRTEM, elemental mapping, N2 adsorption-desorption, Raman, XPS, and VSM. The BET result of prepared Fe2O3 doped activated carbon exhibits high surface area of 443 m2g−1. However, the assembled ASC cell exhibits high energy density of 38 Wh/kg and power density of 3181 W/kg. This work focuses on an innovative, straightforward process for producing low cost activated carbon from waste wood sources, which might have useful applications in the energy storage system.

The Studying of Magnetic Anomalies Due to Shallow Underground Targets and the Environmental Applications.

The magnetic method of investigation is a well-known and dependable technique for detecting underground ferro-materials. However, the application of the magnetic method to identify the exact position of underground targets such as buried explosive devices (BED), illegally buried waste (IBW), metallic storage tanks, utility pipes, and communication cables is quite challenging in both civil and environmental engineering. This article presents the results of the investigation performed at a 55m by 55m area within the Ahmadu Bello University Geophysical Test Site (ABUGTS) to study the signals generated by similar buried targets to simulate situations encountered in environmental engineering. The total magnetic intensity (TMI) of the site without buried targets was obtained to identify the possible existing underground materials or faults that could generate false geophysical data. The magnetic susceptibility of the buried targets was determined in the laboratory before the burial to validate the field results. The influence of the buried materials over the magnetic signature of the site was examined, showing the TMI values vary between 34966 nT and 44510 nT before burial and 351607 nT to 49795 nT after burial. The Euler deconvolution (ED) and residual maps alongside the signal enhancement maps like analytical signal and first vertical derivative (FVD) were employed to study the magnetic anomalies due to buried targets. The results of the data interpretation confirmed the existence of cluster anomaly source bodies due to buried targets. The ED delineates the depth of the buried targets varying between 0.7m – 3.3m corresponding with the actual depth of burial. The analytical signal map produced a perfect behaviour of the magnetic anomalies to buried targets, capturing all the buried targets buried at the site. However, the shape of the anomaly signal is almost independent of the buried target orientation with a spherical pattern of anomalies. However, the exact size and shape of the buried targets were not achieved. Nevertheless, the FVD and analytical signal maps perform better than the residual and TMI maps due to the substantially smaller magnetic anomalies of the buried targets similar to expected. In addition, stronger magnetic anomaly signals occur maximally around buried larger ferro-materials with precise prediction of the buried target position. The magnetic method is a very powerful, convenient, cheap, and time-saving geophysical tool for investigating underground targets, which is highly applicable in engineering and environmental contexts.

Low-Temperature X-ray Microanalysis Sheds New Light on Mineral Nutrition Aspects of Insect Leaf Galling.

Manipulation of host plant physiology by leaf-galling insects is a multifaceted process. Among fundamental knowledge gaps surrounding this scientifically intriguing phenomenon is the appropriation of plant mineral nutrients and moisture for galling advantage. Small, soluble mineral ions and watery cell contents in dense gall tissues risk disruption during routine sample preparations. In this study, an X-ray microanalysis was applied to investigate gall mineral nutrition. Morphologically diverse leaf galls were sampled from three Australian rainforest tree species. Using cryo-analytical scanning electron microscopy, real-time X-ray analytical maps of cellular mineral nutrients and water were integrated with anatomical images of gall and leaf cross-sectional surfaces. A comparison of host-leaf and gall anatomies bore direct evidence of drastic changes to leaf cells through the galling process. Distinct "wet" and "dry" regions within galls were anatomically and/or chemically differentiated, suggesting specific functionality. "Wet" regions comprising hydrated cells including soft gall-cavity linings where larvae are known to feed contained soluble plant mineral nutrients, while C-rich "dry" tissues largely devoid of mineral nutrients likely contribute structural support. Mapping immobile nutrients such as Mn may provide a means of "matching" specific gall cell types to those in ungalled host-leaf tissues. The findings here provided otherwise inaccessible insights into leaf-gall mineral nutrition.

Conservative discontinuous Galerkin interpolation: Sheared boundary conditions

Local studies of accretion disks and laboratory magnetized plasmas employ analytical coordinate mappings that introduce sheared boundary conditions (BCs). We present a discontinuous Galerkin (DG) algorithm to apply such BCs based on projections and quadrature-free integration. The procedure is high-order accurate, preserves moments exactly and works in multiple dimensions. Tests of increasing complexity are provided, beginning with translations of one and two dimensional fields, followed by 3D and 5D simulations with sheared (twist-shift) BCs. Results show that the algorithm is (p+1)-order accurate in the DG representation and (p+2)-order accurate in the cell averages, with p being the order of the polynomial basis. Quantification of the algorithm's hyperdiffusion and discussion of aliasing errors are given. This technique enables conservative local simulations of plasma turbulence with DG, not possible until now.

Digital Multiphase Composites via Additive Manufacturing.

Mechanical properties of traditional engineering materials are typically coupled to each other, presenting a challenge to practitioners with multi-dimensional material property requirements. In this work, continuous, independent control over multiple mechanical properties is demonstrated in composite materials realized using additive manufacturing. For the first time, composites additively manufactured from rigid plastic, soft elastomer, and liquid constituents are experimentally characterized, demonstrating materials which span four orders of magnitude in modulus and two orders of magnitude in toughness. By forming analytical mappings between relative concentrations of constituents at the microscale and resulting macroscale material properties, inverse material design is enabled; the method is showcased by printing artifacts with prescribed toughness and elasticity distributions. The properties of these composites are placed in the context of biological tissues, showing they have promise as mechanically plausible tissuemimics.

E-Bike Motor Design based on Analytical and Finite Element Performance Mapping

e-Bike Motor Design based on Analytical and Finite Element Performance Mapping

Visual Accounting: From Analytical Map to Cinematograph (Late 19th — Early 20th centuries)

Visual Accounting: From Analytical Map to Cinematograph (Late 19th — Early 20th centuries)

The Impact of COVID-19 Pandemic on Hospital Waste Management: A Bibliometric Analysis

Any used solid, liquid, or gaseous substance will be immediately discarded. Dumped substance waste is generated in various places, including hospitals. The recent problem faced by hospitals is the outbreak of the COVID-19, a novel form of severe acute respiratory syndrome (SARS) that has resulted in a marked escalation in the generation of medical waste. The hospital management system covers hospital waste management. This management allows the hospital to monitor the amount and types of produced waste, thereby minimizing the harmful effects of waste. However, in this area, systematic analytical mapping studies still have numerous research limitations. This study aimed to provide a detailed analysis of the generated additional COVID-19 hospital waste and its impact on the environment and public health. Accordingly, this study applied the qualitative method with a literature study approach. The hospital waste management articles identified from 2020-2022 amounted to 920 publication articles indexed by Scopus, indicating that hospital waste management studies have increased in recent years. The study revealed that the COVID-19 pandemic caused an alarming surge in medical waste, posing a significant threat to the environment. This situation provides an opportunity to enhance healthcare waste (HCW) management systems in a manner that is both ecologically sound and secure.

Mapping of landslide susceptibility using analytical hierarchy process on the example of the right bank of the Kaniv Reservoir

The study of landslide-prone areas requires the analysis of a large amount of objective data, products of remote sensing data processing (spatial images, digital terrain elevation data and analytical data on calculated indices), analytical maps based on field measurements. All these data make it possible to objectively and more accurately characterize the studied territory. It is important, based on the results of the assessment, to get a conclusion about favorable, unfavorable and dangerous areas. The result is a landslide susceptibility map. In this study, we carried out the procedure of creating a landslide susceptibility map at the regional level for the Rzhyshchiv united territorial community of the Kyiv region. Nine factors that influence the development of landslides or become indicators of landslide processes are selected. A description of the algorithm for creating a landslide susceptibility map using the method of hierarchical analysis is provided. The obtained result gives an idea of the different propensity of the areas of the studied territory to the development of landslide processes, it means the areas of the greatest threats, which contributes to the rational adoption of management decisions.

A Consensus Model for Coastal Potential- Conflict Management: The Case of Pangkung Tibah Village, Bali

The tourism development of the Pangkung Tibah Village coastal area has reportedly caused various changes in the functions of lands. These changes have led to potential conflicts among the involved actors, who have different interests, indicating the necessity for problem-solving efforts. Potential conflicts should be addressed early to prevent them from developing into bigger conflicts. The results of this study may be used as a guideline for developing policies to prevent potential conflicts. The study aimed to: (1) identify the characteristics of the potential conflicts in the Pangkung Tibah Village coastal area, (2) carry out an analytical mapping of the potential conflicts, and (3) formulate a consensus model for the management of the potential conflicts by maximizing the role of the local community. The participatory rural appraisal (PRA) approach was used to identify and conduct an analytical mapping of potential conflicts in the Pangkung Tibah Village coastal area. The findings revealed that due to the vulnerability of this coastal area to damages, interventions should be controlled by direct action that is supported by formal and customary laws. Regarding the identification of the actors, causes, and types of differences in this study, an analytical mapping was conducted, with the potential conflicts being categorized into three levels: ‘mild’, ‘moderate’, and ‘severe’. These levels were determined based on the nature of their relationships with the three categories of sustainable development. In conclusion, a consensus model is proposed as a solution to manage the existing potential conflicts in the coastal area of Pangkung Tibah Village based on the local community and stakeholders’ participation in order to well manage the social, economic, and environmental aspects towards sustainable development.

Composition-Differentiation Operator on the Bergman Space

We investigate the properties of composition-differentiation operator Dψ on the Bergman space of the unit disk L2a(D). Specifically, we characterize the properties of the reproducing kernel for the derivatives of the Bergman space functions. Moreover, we determine the adjoint properties of Dψ whenever ψ is self analytic map of the unit disk D.

Primary Sources of History of Russian Philosophy of the XIX-XX Centuries in Russian State Archives: the Current Condition and Prospects of Study

The study contains the review, analysis, assessment of the current state and prospects for further scientific study of the materials of the Russian state archives, including the personal funds of philosophers and philosophical institutions of Russia in the 19th-20th centuries, which are of the greatest relevance to historians of Russian philosophy. In this regard, on the one hand, the study considers the largest research and scientific-publishing historical and philosophical projects, testifying to the already achieved results of the scientific development of vast arrays of archival documents; on the other hand, a number of collections of Russian state archives (federal, regional, municipal, departmental) have been monitored in order to identify archival collections that were little or insufficiently studied from this point of view. The results of the collective research presented in the article can be considered as the beginning of a large systematic work on the analytical mapping of the content of Russian archival collections relevant to the problems of the history of Russian philosophy. The study shows the importance and productivity of conducting parallel research work both with the personal funds of Russian philosophers of the 19th-20th centuries, and with funds containing documentation of philosophical institutions (magazine editorial offices, faculties, departments, research institutes, publishing houses of philosophical literature, professional and thematic associations of philosophers). In this regard, the question was raised about the need to develop historical and philosophical archiving and source studies in Russia, to include this set of subjects into the system of training historians of philosophy, and also about the need to coordinate the joint efforts of historians of Russian philosophy towards the formation of an archive of Russian philosophy as a significant and publicly available mapped resource. The results obtained in the course of the study should contribute to the emergence of the history of Russian philosophy as a dynamically developing branch of Russian science to a qualitatively new source study and methodological level, necessary for solving the large-scale research tasks, related, in particular, to the scientific preparation of academic collections of works by Russian philosophers and the development of modern fundamental history of Russian philosophy.

A High-Precision Planar NURBS Interpolation System Based on Segmentation Method for Industrial Robot

NURBS curve parameter interpolation is extensively employed in precision trajectory tasks for industrial robots due to its smoother performance compared to traditional linear or circular interpolation methods. The trajectory planning systems for industrial robots necessitate four essential functional modules: first, the spline curve discretization technique ensuring chord error compliance; second, the contour scanning technique for determining the maximum feasible feed rate for multi-constraint and multi-segment paths; third, the technique for achieving a smooth feed rate profile; and fourth, the continuous curve parameter interpolation technique. Therefore, this paper proposes a high-precision planar NURBS interpolation system for industrial robots. Firstly, a segmentation method for NURBS curves based on a closed-loop chord error constraint is proposed, which segments the original global NURBS curve into a collection of Bezier curves that strictly meet the chord error constraint. Secondly, a bidirectional scanning technique is presented to meet the joint space constraint, establishing an analytical mapping between the tool tip kinematic constraint and the joint kinematic constraint. Then, based on the traditional S-shaped feed rate profile, an adaptive algorithm with a displacement constraint is introduced, considering the real-time speed adjustment requirements of robots. Finally, a compensation interpolation strategy based on arc length parameterization is adopted to solve the accumulated error problem in parameter interpolation. The effectiveness of and potential for enhancing the quality of planar machining of the proposed planar NURBS interpolation system for industrial robots are validated through simulations and experiments. The results demonstrate the system’s applicability and accuracy, and its ability to improve planar machining quality.

Topology of Fold Map Germs from mathbb R^3 to mathbb R^5

Let f:(mathbb R^3,0)rightarrow (mathbb R^5,0) be an analytic map germ with isolated instability. Its link is a stable map which is obtained by taking the intersection of the image of f with a small enough sphere S^4_epsilon centered at the origin in mathbb R^5. If f is of fold type, we define a labeled tree associated to its link and prove that is a complete topological invariant for it. As an application we obtain the complete topological classification of map germs contained in the mathcal {A}^2-class (x,y,z^2,xz,0).

Nontwist field line mapping in a tokamak with ergodic magnetic limiter.

For tokamaks with uniform magnetic shear, Martin and Taylor have proposed a symplectic map which has been used to describe the magnetic field lines at the plasma edge perturbed by an ergodic magnetic limiter. We propose an analytical magnetic field line map, based on the Martin-Taylor map, for a tokamak with arbitrary safety factor profile. With the inclusion of a nonmonotonic profile, we obtain a nontwist map which presents the characteristic properties of degenerate systems, such as the twin islands scenario, shearless curve, and separatrix reconnection. We estimate the width of the islands and describe their changes of shape for large values of the limiter current. From our numerical simulations about the shearless curve, we show that its position and aspect depend on the control parameters.

ORGANIZATION OF PREVENTION, EARLY DETECTION AND TREATMENT OF GENETICALLY DETERMINED OPHTHALMOLOGICAL PROBLEMS IN AZERBAIJAN

The aim of this research is to present an optimized plan for organizing the prevention, early detection and treatment of genetically determined eye problems. Materials and methods. The study focuses on the process of prevention, detection and treatment of hereditary eye pathology. Specifically, it addresses issues related to the timely detection of genetically determined ophthalmic diseases leading to patient disability. The study included patients of the Acad. Zarifa Aliyeva National Centre for Ophthalmology, Baku. The study employs patient survey, analytical mapping, and statistical processing of the findings obtained. Results. Genetically determined pathology of the eye occurs quite often, this problem is most common in those countries where the percentage of consanguineous marriages is high. In some cases, hereditary pathology causes disability from early childhood. The correct approach to the problem of detecting the presence of abnormalities in early pregnancy, timely diagnosis and treatment in many cases helps to avoid the birth of children with genetic abnormalities and preserve the vision of sick patients. The organization of assistance to this category of population is multi-staged and involves various organizations not related to health care. An important role is played by the level of financial capabilities and the state of medical institutions, as well as the qualifications of the staff. The first stage of assistance to the population is to identify a risk group. At stage 2, a genetic study of the foetus is carried out in mothers included in the risk group. During stage 3, dynamic control is exercised over a newborn child from a risk group. Stage 4 is the organization of medical and surgical care for patients. The creation of a clear system of informing and helping patients with genetic abnormalities will reduce the number of visually impaired people. Conclusion. Thus, it is necessary to create a clear system of medical and preventive care for children with genetic abnormalities. Only the joint work of social services and doctors of different specialties can lead to successful results in providing care to this group of patients.

Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system

The geometric and thermal errors are the crucial errors that directly impact the machining accuracy, and then the crucial errors should be controlled. However, the prediction model is not robust and accurate enough, and the real-time performance of the control system is weak. To address the above challenges, the thermal error models are proposed based on the extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network. The critical input variables are identified by extreme gradient boosting. The hyper-parameters of bi-directional ordered neurons-long short-term memory neural network are adaptively optimized by improved sailed fish optimizer. Moreover, the control model is proposed by analyzing the analytical mapping relationship between the compensation component of each axis and crucial errors. Finally, the physical-edge-cloud system is designed to control the crucial errors of precision boring machine tools in real time. The prediction model and control model are embedded into the edge layer. The prediction model is trained on the cloud layer of physical-edge-cloud system. For the thermal error of the spindle system, the predictive ability of the extreme gradient boosting-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model is 96.39%. For the thermal error of the linear axis, the predictive abilities of extreme gradient boosting-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model are 90.41%, 92.00%, 95.47%, 97.84%, and 91.87% at 1h, 3h, 5h, 7h, and 9h, respectively. Furthermore, the machining error is reduced by more than 75.00% with the application of the designed physical-edge-cloud system.

Comment on Albantakis et al. Computing the Integrated Information of a Quantum Mechanism. Entropy 2023, 25, 449.

Integrated information theory (IIT) is a powerful tool that provides a framework for evaluating consciousness, whether in the human brain or in other systems. In Computing the Integrated Information of a Quantum Mechanism, the authors extend IIT from digital gates to a quantum CNOT logic gate, and while they explicitly distinguish the analysis from quantum theories of consciousness, they nonetheless provide an analytical road map for extending IIT not only to other quantum mechanisms but also to hybrid computing structures like the brain. This comment provides additional information relating to an adiabatic quantum mechanical energy routing mechanism that is part of a hybrid biological computer that provides an action selection mechanism, which has been hypothesized to exist in the human brain and for which predicted evidence has been subsequently observed, and it hopes to motivate the further evaluation and extension of IIT not only to that hypothesized mechanism but also to other hybrid biological computers.