Reference Point Research Articles

A Method for Estimating the State of Charge and Identifying the Type of a Lithium-Ion Cell Based on the Transfer Function of the Cell

This paper proposes a new method for assessing the state of charge (SoC) and identifying the types of different lithium-ion cells used in the battery systems of light electric vehicles. A particular challenge in the development of this method was the SoC estimation time, as the method is intended for implementation in the control system of a bicycle charging station, where the state of charge must be determined immediately after the bicycle is plugged in in order to start the charging process as quickly as possible according to the appropriate charging algorithm. The method is based on the identification of the transfer function, i.e., the dynamic response of the battery voltage to the current pulse. In the learning phase of this method, a database of reference transfer functions and corresponding SoCs for a specific type of battery cell is created. The transfer functions are described by coefficients determined through the optimization procedure. The algorithm for estimating the unknown battery cell SoCs is based on the comparison of the measured voltage response with the responses of the reference transfer functions from the database created during the learning process to the same current signal. The comparison is made by calculating the integral of the square error (ISE) between the response of the specific reference transfer function and the measured voltage response of the battery cell. Each transfer function corresponds to a specific SoC and cell type. The specific SoC of the unknown battery is determined by quadratic interpolation of the SoC near the reference point with the smallest ISE for each battery type. The cell type detection algorithm is based on the fact that the integral squared error criterion near the actual SoC for the actual cell type changes less than the squared error criterion for any other battery cell type with the same SoC. An algorithm for estimating the SoC and cell type is described and tested on several different cell types. The relative error between the estimated SoC and the actual SoC was used as a measure of the accuracy of the algorithm, where the actual SoC was calculated using the Coulomb counting method.

Linking crustacean life history to fishery management controls and reference points

AbstractManagement of crustacean fisheries is often data‐limited, and techniques used in finfish fisheries are often inappropriate for crustaceans due to life‐history differences. Limitations in modeling capacity and data availability make it difficult to determine the status of crustacean stocks using model‐based biological reference points (BRPs), but BRPs are a key component of successful fisheries management. Using crustacean fishery case studies depicting model‐based and empirical management strategies, we synthesized the current state of crustacean fisheries management with respect to data availability and use of management controls. Input and output controls can be successful with supplemental BRPs, but whatever methods are used must explicitly consider species' unique life‐history characteristics. In data‐limited fisheries, output controls can effectively conserve a species under high levels of exploitation. Implementation of discrete BRPs can improve sustainability of both emerging and data‐rich crustacean fisheries, to make these quantitative metrics a valuable tool for crustacean management globally.

Exploring optimal pathways for enterprise procurement management systems based on fast neural modeling and semantic segmentation

Corporate procurement management assumes a pivotal role within the contemporary business landscape, yet confronts an array of challenges as markets continue to evolve and globalize. Conventional procurement management systems frequently grapple with issues of inefficiency, resource depletion, and noncompliance, necessitating the exploration of innovative avenues for optimization. This paper delves into the realm of risk mitigation associated with collusion behavior in the administration of intelligent procurement systems, presenting a novel procurement collusion identification model founded on a convolutional neural network (CNN) with reinforcement learning techniques. This framework commences with the application of a CNN and Long Short-Term Memory (LSTM) network for in-depth feature analysis and initial identification of historical procurement data, subsequently leveraging reinforcement learning methodologies to enhance the model's autonomy and intelligence for the purpose of optimization. Throughout the experimental phase, diverse domains of procurement data were meticulously selected for analysis. The empirical findings unequivocally demonstrate the model's proficiency, with an average recognition accuracy of 95.1% across five publicly available datasets. This performance surpasses existing machine learning methodologies employed in contemporary research and common recognition networks, thereby offering a pioneering reference point for the intelligent administration and optimization of future procurement systems.

Preaching beyond Binary Categories: An Approach from Process Theology

Thinking in binary categories has often characterized both the Christian community and communities beyond the church. This pattern of mental operation typically sees binary categories as self-contained and often as mutually exclusive, e.g., male/female, judgment/salvation, and religious/secular. However, some interpreters call binary thinking into question and point to possibilities of more nuanced perspectives, perhaps most well-known with respect to more expansive views of gender: the categories of male and female are not mutually exclusive but are reference points among clusters of sexual and gender expression and preferences. Process theology offers preachers ways to transcend binary exclusivism. Several convictions of process thought come into play: the divine aim that all things work together for optimum becoming, the dipolar nature of God, the internal relationship of all things, and especially the perception that a binary is an invitation for creative transformation in thinking beyond the binary pattern about how the elements in the field of the binary might relate with one another so as to honor diversity as part of moving towards optimum becoming. The article begins with a statement of the problem, summarizes key elements of process thought that come into play, sketches how a preacher might seek the creative transformation of binary impasses, and brings forward three case studies of binaries that illustrate this approach in action.

Comparison of the efficacy of aescin and diclofenac sodium in the management of postoperative sequelae and their effect on salivary Prostaglandin E2 and serum C–reactive protein levels after surgical removal of impacted mandibular third molar: a randomized, double-blind, controlled clinical trial.

Introduction Surgical removal of an impacted third molar is one of the most common oral surgical procedures performed in dental offices. The postoperative phase is often associated with severe inflammation. Non-steroidal anti-inflammatory drugs (NSAIDs) are usually prescribed to manage postoperative discomfort. NSAIDs have been associated with gastrointestinal bleeding, renal function disturbances, and platelet count reductions. Thus, the present study demonstrates the utility of aescin in managing postoperative discomfort after the surgical removal of impacted mandibular third molars. This study aimed to correlate salivary PGE2 levels and serum C-reactive protein levels with subjective and objective symptoms after surgical extraction of the mandibular third molar and their relationship with drug therapy. Methods The planned study is a single-center, double-blind, randomized, parallel, prospective clinical trial. Each patient will be prescribed either diclofenac sodium 150 mg/day or aescin (escin) 120 mg/day to be taken orally in divided doses for five days after surgically removing the impacted mandibular third molar. Pain will be assessed using a visual analog scale. Facial swelling and mouth opening will be recorded using a metric scale with standardized reference points. ELISA (enzyme-linked immunosorbent assay (ELISA) will be employed to measure salivary Prostaglandin E2 and serum C–reactive protein levels. All parameters will be recorded preoperatively (T0) on the second postoperative day (T1) and fifth postoperative day (T2). Conclusion The proposed study is expected to show a favorable response to the administration of aescin for the management of postoperative discomfort compared to diclofenac sodium after third molar surgery. The proposed study is expected to positively manipulate the levels of salivary Prostaglandin E2 and serum C–reactive protein, which are reliable inflammatory markers. The outcome of this study may provide an efficacious and safe alternative to conventional nonsteroidal anti-inflammatory drugs for managing postoperative discomfort following third molar surgery.

Потенціал розвитку фінансового лізингу в Україні

In modern conditions, the market of financial leasing services occupies a prominent place in the economy of developed countries. Financial leasing is a kind of symbiosis of lending and renting, it has a number of sig­nificant advantages for ensuring and expan­ding the activities of business entities due to the replenishment of their investment income, a convenient source of financing, the possibility of using modern and often expensive equipment without significant costs, modernization of production and normalization of the financial and economic state of business, which invi­gorates the development of the country’s economy as a whole. In Ukraine, despite 30 years of development, financial leasing has repeatedly encountered difficulties, including the problems of the origin and formation of the leasing services market (90s), imperfect legislation, the decline during the financial crisis and post-crisis recovery, and currently – fun­ctioning in the conditions of war. The economic instability of the past years and the conditions of the present significantly affect the pace of development of the leasing industry, and therefore its recovery is currently a matter of time. The growth of the financial leasing market in conditions of a pandemic, economic recession and martial law makes it necessary to have a clear mechanism for regulating leasing acti­vities. The priority reference point is the European experience, the study of which in the framework of strengthening the innovative focus of the development of the domestic economy will make it possible to choose a relevant model of the functioning of the modern financial leasing market. The aim of the article is to determine the regulatory requirements in the field of leasing activity, the key vectors of the development of the domestic market of financial leasing services in the context of European integration. To achieve the aim, scientific methods of analysis, synthesis, systematization, graphic and generalization were applied. It was established that, despite a number of problems, the leasing market of Ukraine still has all the prospects of becoming one of the powerful markets of the Central and Eastern Europe region. In this direction, it is urgent to strengthen financial literacy among the population and business entities regarding the understanding of leasing as an innovative way of purchasing equipment and a flexible business financing tool, ensuring an increase in the level of penetration of leasing into the domestic economy, expanding the spheres of attracting external financing, developing state programs, developing vendor financing.

Propulsion curve analysis and optimisation of biomimetic pectoral fin with three degree of freedom based on multi-layer perception

This paper aims to improve the swimming efficiency of biomimetic robotic fish by optimising its propulsion curve with three degree of freedom (DOF), in which the key is to minimise the resistance during swing backstroke of the pectoral fin. For this purpose, a reference point on the pectoral fin is first selected, and then an 8-shaped propulsion curve is constructed to coordinate rowing and flapping motions. Meanwhile, a propulsion curve of feathering motion is also given correspondingly. On this basis, the overall curvature and curve offset are proposed as measurement parameters for the deformation of the propulsion curve and the proportion of abdominal/dorsal circles in the propulsion curve, respectively. As the motion law of feathering is given in a sinusoidal pattern, a data set of hydrodynamic parameters is obtained for pectoral fin propulsion under different motion parameter conditions by computational fluid dynamics(CFD) numerical simulation. Once again, a propulsion curve optimisation model is established based on multi-layer perception(MLP), which uses the hydrodynamic parameters data set as input. The results show that the resistance of swing backstroke reached the minimum when overall curvature is π/10 and curve offset is 0.4, which is enhanced by 30.13% and 33.33% at thrust and lift direction compared to the existing design, respectively. Furthermore, the flow field structure and hydrodynamic parameters around the robotic fish are calculated by CFD. The results show that two sets of vortex rings are generated around the fish body during a propulsion cycle. The vortex rings detached towards the lower and upper sides of the fish body such that the lift is minimal, the thrust direction is relatively stable, and the resistance is minimal during the swing backstroke. The experimental results indicate that it can raise propulsion efficiency during the pectoral fin propulsion process, verifying the effectiveness of this method.

ETHICAL CHALLENGES IN THE EVOLUTION OF ARTIFICIAL INTELLIGENCE AND FASHION

The present study pays particular attention to issues of originality, intellectual property, and potential biases in machine learning models. European legislation on AI, along with various legislative acts that have followed this initial attempt at regulation, is examined as an essential reference point for initiating a technologically responsible and sustainable prospective discussion. The article analyzes two main perspectives: the risks of uncontrolled AI growth, with emphasis on the damage to the conceptualization of technological primacy over human cognition, and the opportunities for harmonization between human and AI. These themes are contextualized in relation to technological development, regulatory policies, consumer trends, and social values.

Photonic entanglement during a zero-g flight

Quantum technologies have matured to the point that we can test fundamental quantum phenomena under extreme conditions. Specifically, entanglement, a cornerstone of modern quantum information theory, can be robustly produced and verified in various adverse environments. We take these tests further and implement a high-quality Bell experiment during a parabolic flight, transitioning from microgravity to hypergravity of 1.8 g while continuously observing Bell violation, with Bell-CHSH parameters between S=−2.6202 and −2.7323, an average of S¯=−2.680, and average standard deviation of ΔS¯=0.014. This violation is unaffected both by uniform and non-uniform acceleration. This experiment demonstrates the stability of current quantum communication platforms for space-based applications and adds an important reference point for testing the interplay of non-inertial motion and quantum information.

Environmental sustainability and legislation, governance and ESG: economic opportunities and possible labor market reflexes for the chemical engineer

Environmental sustainability and legislation, governance and esg: economic opportunities and possible repercussions on the job market for chemical engineers. The issue of the environment and sustainability still needs to be more widespread in Brazilian society, despite being debated by academics and opinion formers. However, there has been a consensus among developed countries on the need to adopt sustainable economic practices and create laws promoting environmental protection. In Brazil, the state has played a leading role in this process by creating specific legislation, and companies have basically responded to this stimulus. The aim of this work is to assess the impact of the environmental sustainability paradigm and its legal and governance effect on Brazilian companies, seeking to identify some quantitative impact indicators that can serve as reference points for the influence on the chemical engineer job market.

Individually optimized estimation of energy expenditure in rescue workers using a tri-axial accelerometer and heart rate monitor.

Objectives: This study aimed to provide an improved energy expenditure estimation for heavy-load physical labor using accelerometer data and heart rate (HR) measured by wearables and to support food preparation and supply management for disaster relief and rescue operations as an expedition team. Methods: To achieve an individually optimized estimation for energy expenditure, a model equation parameter was determined based on the measurements of physical activity and HR during simulated rescue operations. The metabolic equivalent of task (MET), which was measured by using a tri-axial accelerometer and individual HR, was used, where two (minimum and maximum) or three (minimum, intermediate, and maximum) representative reference points were selected for each individual model fitting. In demonstrating the applicability of our approach in a realistic situation, accelerometer-based METs and HR of 30 males were measured using the tri-axial accelerometer and wearable HR during simulated rescue operations over 2days. Results: Data sets of 27 rescue operations (age:34.2 ± 7.5years; body mass index (BMI):22.9 ± 1.5kg/m2) were used for the energy expenditure estimation after excluding three rescue workers due to their activity type and insufficient HR measurement. Using the combined approach with a tri-axial accelerometer and HR, the total energy expenditure increased by 143% for two points and 133% for three points, compared with the estimated total energy expenditure using only the accelerometer-based method. Conclusion: The use of wearables provided a reasonable estimation of energy expenditure for physical workers with heavy equipment. The application of our approach to disaster relief and rescue operations can provide important insights into nutrition and healthcare management.

Savivaldžių miestų valdininkijos darbolaikis LDK XVI–XVIII a.: Merkinės atvejis

The history of the cities of the Grand Duchy of Lithuania has in recent years attracted more and more interest in the context of Magdeburg law, city institutions, ruling elites, etc. However, to this day there has been no significant research on the working time of city officials, and certain aspects, such as the organization of work during festivals, are used as details to supplement the historical narrative. This article focuses on the working time of the municipal cities of the Grand Duchy of Lithuania in the 16th–18th centuries, using the city of Merkinė as a reference point. The study aims to find out how the working time of municipal cities was defined by normative documents, when elections and appointments of officials took place in Merkinė, how long the term of office lasted, and when the council and the court of advocatus – lay judges worked. The main part of the article is devoted to the definition of the working time (annual, monthly, weekly) of the municipal bodies of Merkinė (the council and the court of advocatus – lay judges). The work is illustrated by tables based on the data from the act books of the court of advocatus – lay judges and the council.

ОПРЕДЕЛЕНИЕ ПРОТЕТИЧЕСКОЙ ПЛОСКОСТИ В КЛИНИКЕ ОРТОПЕДИЧЕСКОЙ СТОМАТОЛОГИИ (ОБЗОР ЛИТЕРАТУРЫ)

Positioning of the lower jaw in three mutually perpendicular planes – sagittal, frontal and transversal – significantly affects the position of the occlusal plane. Finding the occlusal plane is an important criterion for the success of planning and implementing dentures. The review presents analogue and digital methods for personalized identification and construction of the occlusal plane in the process of dental orthopedic rehabilitation.
 Objectives. The goal is to study known methods for constructing a personalized prosthetic plane using analog and digital methods.
 Methodology. An analysis of the scientific literature devoted to analog and digital methods for constructing a personalized prosthetic plane for dental orthopedic rehabilitation was carried out.
 Results. During orthopedic dental rehabilitation of patients with complete absence of teeth, one of the most important stages in the manufacture of removable dentures is the determination of the prosthetic plane. The quality of prosthetics in both aesthetic and functional aspects will depend on the accuracy of the determination. The shape and position of the occlusal plane depends on many factors: the shape of the head, the type of growth of the facial part of the skull, heredity, race. The scientific literature reflects various methods for orienting the occlusal plane in the facial part of the skull, and the authors used both cephalometric indicators and anatomical structures as reference points.
 Conclusions. Determining the prosthetic plane with the help of digital technologies makes it possible to fully achieve a guaranteed and predictable result of the entire treatment, therefore, today they are relevant, and in the future they will become the method of choice.

Correction: Accounting for transient dynamics could improve the use of marine protected areas as a reference point for fisheries management

Correction: Accounting for transient dynamics could improve the use of marine protected areas as a reference point for fisheries management

Novel high-dense microelectrode array based multimodal bioelectronic monitoring system for cardiac arrhythmia re-entry analysis

In recent decades, significant progress has been made in the treatment of heart diseases, particularly in the field of personalized medicine. Despite the development of genetic tests, phenotyping and risk stratification are performed based on clinical findings and invasive in vivo techniques, such as stimulation conduction mapping techniques and programmed ventricular pacing. Consequently, label-free non-invasive in vitro functional analysis systems are urgently needed for more accurate and effective in vitro risk stratification, model-based therapy planning, and clinical safety profile evaluation of drugs. To overcome these limitations, a novel multilayer high-density microelectrode array (HD-MEA), with an optimized configuration of 512 sensing and 4 pacing electrodes on a sensor area of 100 mm2, was developed for the bioelectronic detection of re-entry arrhythmia patterns. Together with a co-developed front-end, we monitored label-free and in parallel cardiac electrophysiology based on field potential monitoring and mechanical contraction using impedance spectroscopy at the same microelectrode. In proof of principle experiments, human induced pluripotent stem cell (hiPS)-derived cardiomyocytes were cultured on HD-MEAs and used to demonstrate the sensitive quantification of contraction strength modulation by cardioactive drugs such as blebbistatin (IC50 = 4.2 μM), omecamtiv and levosimendan. Strikingly, arrhythmia-typical rotor patterns (re-entry) can be induced by optimized electrical stimulation sequences and detected with high spatial resolution. Therefore, we provide a novel cardiac re-entry analysis system as a promising reference point for diagnostic approaches based on in vitro assays using patient-specific hiPS-derived cardiomyocytes.

BEYOND GROUND CONTROL POINTS: COST-EFFECTIVE 3D BUILDING RECONSTRUCTION THROUGH GNSS-INTEGRATED PHOTOGRAMMETRY

Abstract. The process of 3D building modeling serves a multitude of practical and strategic purposes across diverse industries. Building a 3D model involves employing a range of techniques and technologies. Among these, the most used methods include 3D laser scanning and photogrammetry, whether applied at close-range or through the use of Unmanned Aerial Systems (UAS). In photogrammetry, ground control points (GCPs) are generally needed to scale and georeference the digital reconstruction process, but it is a timeconsuming practice or sometimes impractical or dangerous. This paper aims to evaluate the efficiency of two integrated devices to perform photogrammetric 3D reconstruction without GCPs. They are both composed by a Sony ZV1 camera coupled with two different RTK/PPK GNSS system: the Emlid Reach RS2 GNSS receiver and the Emlid Reach M2 module with a multi-band GNSS helical antenna. Different sets of images were acquired with the two proposed devices for the lever-arm estimation and to perform the 3D surveying of the Galata monastery historical monument. The accuracy of the process and derived dense point clouds is assessed by comparing them with GCPs and a reference point cloud derived by fusing an UAS and a high-resolution mobile laser scanning point cloud. The ultimate goal is to obtain a 3D building model without the use of GCPs in the process of bundle block adjustment with centimeter accuracy.

About the Permissible Errors of Appraisers in Determining the Value of Real Estate

The article discusses the most used types of real estate values, the features of their definition and relationship, calculation methodologies. The market value in the article is considered as the main reference point when determining the cadastral value or when making investment decisions. Based on the examination of reports on the contesting of cadastral value, a conclusion is made about the mass use of the comparative approach in deriving the equilibrium value of real estate. Particular attention is paid to the errors that appraisers make in their work when determining the market value of real estate and which in the future significantly affect its results.

Solving the spatial extrapolation problem in flood susceptibility using hybrid machine learning, remote sensing, and GIS.

Floods are arguably the most impactful of natural hazards. The increasing magnitude of their effects on the environment, human life, and economic activities calls for improved management of water resources. Flood susceptibility modeling has been used around the world to reduce the damage caused by flooding, although the extrapolation problem still presents a significant challenge. This study develops a machine learning (ML) model utilizing deep neural network (DNN) and optimization algorithms, namely earthworm optimization algorithm (EOA), wildebeest herd optimization (WHO), biogeography-based optimization (BBO), satin bowerbird optimizer (SBO), grasshopper optimization algorithm (GOA), and particle swarm optimization (PSO), to solve the extrapolation problem in the construction of flood susceptibility models. Quang Nam Province was chosen as a case study as it is subject to the significant impact of intense flooding, and Nghe An Province was selected as the region for extrapolation of the flood susceptibility model. Root mean square error (RMSE), receiver operating characteristic (ROC), the area under the ROC curve (AUC), and accuracy (ACC) were applied to assess and compare the fit of each of the models. The results indicated that the models in this study are a good fit in establishing flood susceptibility maps, all with AUC > 0.9. The deep neural network (DNN)-BBO model enjoyed the best results (AUC = 0.99), followed by DNN-WHO (AUC = 0.99), DNN-SBO (AUC = 0.98), DNN-EOA (AUC = 0.96), DNN-GOA (AUC = 0.95), and finally, DNN-PSO (AUC = 0.92). In addition, the models successfully solved the extrapolation problem. These new models can modify their behavior to evaluate flood susceptibility in different regions of the world. The models in this study distribute a first point of reference for debate on the solution to the extrapolation problem, which can support urban planners and other decision-makers in other coastal regions in Vietnam and other countries.

Ideologies and identity performance in users’ discourses about Romani-based special languages (‘Sondersprachen’)

ABSTRACT Drawing on users’ testimonials we discuss how peripatetic populations forge ideologies around their use of group-internal special vocabulary. We identify three recurring themes: The discourse of loss that purports to account for a language history marked by deprivation and anomaly and intertwined with a notion of incompleteness of one’s own identity; contemporary negotiation of identity that draws on external reference points to set boundaries towards others; and explications of language function, which reconstruct contexts of use. Our case studies involve the use of use of special vocabulary derived partly or mainly from Romani among English Gypsies, Norwegian Travellers, and the travelling Showpeople of northern Italy. We approach these Romani-based ‘special languages’ (‘Sondersprachen’) as acts of identity performance and revisit the hypothesis that they emerged through convergence between Romani speakers and indigenous peripatetic populations.

Construction management students’ perception of BIM adoption and its implications in a non-mandated country

Building information modeling (BIM) is increasingly being recognized and gradually adopted by the construction industry in India, even though it is still not mandated by the Government. As the demand for trained BIM professionals grows, many educational institutes in India have started including BIM in their respective architecture, engineering, and construction (AEC) related curriculum courses, mostly at a beginner level. This study tries to access the perceptions of these AEC students towards various aspects related to the BIM practice and its adoption in India. It aims to provide a reference point, and help bridge the gap between the industrial BIM proficiency requirements, and the institutional BIM teaching-learning approach. As students are the prospective BIM professionals, this study gives important insights for the BIM practice stakeholders to understand the learners’ individual motivation, bias and experience. The methodology consisted of conducting an online questionnaire survey to collect the students’ demography and background data; as well as their perceptions (on a five-point Likert scale) towards BIM benefits, BIM functionalities, BIM as a career option, and challenges to BIM implementation in India. The 188 responses were divided into subgroups and statistically compared based on two-sample t-test and analysis of variance (ANOVA). Findings are discussed with their possible implications in the academia as well as the industry. The study emphasizes having a better engagement of the academia with the BIM industry and policy makers to develop a synergic BIM learning ecosystem.