bluuebunny/crossref_metadata_2025 huggingface dataset:
Plaidoyer pour l’introduction de transformations déformantes dans les programmes de lycée au Sénégal : le cas de l’inversion
Authors: Diack Thiendou , Dia El hadji Malick , Ba Cissé
Published: October 2024

Les programmes de Mathématiques Sénégalais de 2006 (programme en vigueur) invitent l’enseignant à donner des exemples de transformations ne conservant pas le barycentre en Terminales S1-S3. C’est ainsi que nous jugeons nécessaire de doter les enseignants d’un cours sur l’inversion géométrique. Dans cet article, nous allons d’une part expérimenter et analyser des activités visant à introduire l’inversion géométrique en classe de Terminale S1. D’autres parts, nous mènerons une enquête auprès des enseignants pour avoir une idée sur la place qu’occupent les transformations déformantes dans l’enseignement des mathématiques au Sénégal.
Atualizações e produção em educação matemática
Authors: Moraes João Carlos Pereira de
Published: October 2024

A intenção do estudo é acompanhar como processos de reflexão sobre o ato de definir o espaço junto com os licenciandos em Pedagogia entram em funcionamento na composição de modos de pensar a educação matemática. Assim, elaborou-se um dispositivo para provocar produções de pensamento. Como resultado, entrou-se em funcionamento discussões sobre os processos de definição e conceituação no campo da Matemática, bem como a produção de currículos e de uma educação de qualidade a partir da Educação Matemática. Conclui-se que o debate de Educação Matemática nos cursos de Pedagogia necessita ser mais inventivos e provocativos, possibilitando atualizações e criações.
História e Urbanização
Authors: Oliveira Caio Cesar Tomaz de , Carignani Gisele
Published: October 2024

O ponto de partida do presente estudo é analisar o processo de aprovação de municípios em São Paulo no início do século XX, com foco nos casos de Assis e Ourinhos. O objeto de estudo são as dinâmicas políticas e jurídicas que influenciaram a criação de municípios durante esse período. A metodologia inclui a análise documental de projetos de lei e registros oficiais, bem como uma revisão bibliográfica sobre a formação municipal no estado de São Paulo. As teorias e conceitos abordados envolvem a consolidação de poder local e a influência das elites agrárias na delimitação territorial. As fontes utilizadas incluem arquivos da Assembleia Legislativa do Estado de São Paulo (ALESP). A análise concentra-se no período das primeiras décadas do século XX, quando o crescimento urbano e a expansão ferroviária impulsionaram a formação de novos municípios. Conclui-se que o processo de aprovação de municípios foi profundamente influenciado por interesses econômicos e políticos locais.
Analysis of Factors Influencing the Revitalization of Local Cultural and Arts Centers: Focusing on the Regional Characteristics
Authors:   The Korean Association for Local Public Enterprises, Kim Yun Kyoung , Kim Sun Min , Lee Sam Youl
Published: October 2024

This study aims to analyze the factors that influence the revitalization of local cultural and arts centers, which have been established to foster regional cultural development and enhance the cultural lives of local residents, within the context of past decentralization efforts and recent emphasis on balanced regional development.
Specifically, the study examines the significance of various social and economic conditions affecting local area, such as population decline, regional extinction, aging populations, youth outmigration, and economic slowdown, on the revitalization of local cultural and arts centers. By investigating the causal relationship between the current limitations of local areas and the activation of local cultural and arts centers, the study seeks to propose future strategic directions for regional cultural policies to enhance the vitality of these centers.
The research employs a panel regression analysis on data from 53 local cultural and arts centers in small and medium-sized cities, using performance-related data from 2016 to 2020, as detailed in the Board of Audit and Inspection's report on the Status of Population Structure Change III(Local Administration). The analysis reveals that higher operational expertise, achieved through the residency of professional performance groups and the employment of specialized personnel for performance planning and related projects, as well as higher operational capacity for hosting and planning both fine and popular art performances, positively impact the revitalization of local cultural and arts centers. However, regional characteristics were found to have no significant causal relationship with the activation of local cultural and arts centers. Consequently, to enhance the activation of cultural and arts facilities, including local cultural and arts centers, local areas should not remain constrained by their current physical limitations or social and economic issues. Instead, efforts should focus on developing regional culture through the branding of cultural and arts facilities, facilitated by necessary changes in systems and policies that allow for the continuous infusion of professional personnel and high-quality art programs into local cultural and arts centers.
METODE HISTORIKAL DALAM ARSITEKTUR DIGITAL, SEBUAH KAJIAN TERHADAP DIALOG BANGUNAN TRADISIONAL
Authors: Carelia, C. Carelia, , Purwanto, L.M.F Purwanto,
Published: October 2024

Perkembangan teknologi digital telah mengubah lanskap arsitektur secara signifikan, memungkinkan penerapan konsep-konsep baru dalam desain dan konstruksi. Fenomena ini menunjukkan tren penggunaan pemodelan digital, kecerdasan buatan, dan BIM, namun terdapat isu mengenai hilangnya keterhubungan dengan sejarah dan nilai-nilai arsitektur tradisional. Penelitian ini bertujuan untuk menerapkan metode historikal dalam arsitektur digital guna mempertahankan warisan budaya dalam desain modern. Penelitian ini menggunakan pendekatan kualitatif dengan analisis literatur, studi kasus, dan wawancara dengan arsitek yang berfokus pada integrasi prinsip-prinsip historis dalam proyek digital. Hasilnya menunjukkan bahwa metode historikal tidak hanya memperkaya desain digital, tetapi juga mempertahankan relevansi sejarah dalam konteks teknologi modern. Penelitian ini memberikan kontribusi penting terhadap dialog antara arsitektur tradisional dan digital.
Fostering innovation in the perspective of the independent curriculum of Boyolali regency
Authors: Kartika Ray Septianis , Suripto Suripto , Sabtohadi Joko , Josep Josep , Yuniarti Lisa , Halik Abdul , Yohanitas Witra Apdhi , Yasin Akhmad , Sacipto Rian , Komari Komari , Harefa Herman
Published: October 2024

Innovation can be applied in every aspect of life. Similarly, innovation can support the implementation of an accountable education system and support regional competitiveness. Innovation is easy to echo, but difficult to implement. Especially with regard to the Education curriculum which is based on many teaching norms. For this reason, the independent curriculum is a bridge for students and teachers in pouring their innovative ideas through projects that link and match with the world of Education. The problem is that not all schools in Boyolali Regency dare to experiment. There are only 20 schools that seem to be making innovations from the total number of schools as many as ± 400 school units. Qualitative descriptive study method with analysis through problem trees. The result of the study is that an innovation model will be created three concepts, namely Training model, professional Development and Capability Development using problem-based learning methods, project-based learning and discovery learning.
Enhancing work efficiency and the performance of export companies through competency development
Authors: Pulpetch Thitima , Chaiprasit Kanokporn
Published: October 2024

This study aims to examine the influence of employee and entrepreneur competencies on work efficiency and performance of export companies at the Nong Khai border checkpoint. The research conducted is a quantitative survey. The population for this study includes employees and entrepreneurs from the cross-border export service industry, exporters, and freight forwarder agents operating at the Nong Khai border checkpoint. A non-probability sampling method was employed to select participants. The sample size was Cochran estimated using Cochran’s formula. A structured questionnaire was used to collect data from 385 logistics employees and entrepreneurs selected through purposive sampling. The questionnaires were distributed to employees and entrepreneurs from the export entrepreneurial industry, cross-border export service providers, exporters, and freight forwarder agents at the Nong Khai border checkpoint. The findings revealed that employee and entrepreneur competencies have a direct influence on the work efficiency and performance of export companies. The study concludes that enhancing the competencies of employees and entrepreneurs positively impacts work efficiency and the overall export performance of the company. The research suggests that entrepreneurs should prioritize training and competency development for employees to further improve work efficiency.
Inequitable Subrogation: The Flawed Restatement Approach to Equitable Subrogation of Refinance Mortgages
Authors: Smith Slade
Published: October 2024

If a refinance lender (or its title insurer) fails to conduct an accurate title search, or fails to act upon information it learns in a title search, the lender may find out later that its mortgage does not have the priority position it expected because another lien—one that the refinance lender did not discover or consider—has higher priority under the state’s “first in time, first in right” recording law. When this occurs, the refinance lender may request that a court assign its mortgage the priority position of the mortgage it paid off in the refinance under the doctrine of equitable subrogation.
The Restatement (Third) of Property’s approach to equitable subrogation grants a refinance lender equitable subrogation nearly automatically, granting the refinance mortgage over an earlier-recorded lien regardless of whether the lender (or its title insurer) has been negligent in failing to discover or address an intervening lien. Proponents of the Restatement approach claim that it reduces or eliminates the need for title insurance on refinance transactions. However, these promises may have been overstated, and any benefits to consumers of avoiding title insurance may erode as technology is applied to the title search and examination process, making it less costly and more efficient. Furthermore, the Restatement approach often reaches an inequitable result because any benefits are merely extracted from diligent intervening lienholders. And meanwhile, the benefits of equitable subrogation mostly accrue to careless title insurers. This Article proposes an alternative approach, under which a refinance mortgage would be subrogated only when truly required to avoid an injustice.
Sharing Economy Gag Rule: Targeting Communication Innovations in the Information Age
Authors: Sandefur Christina , Riches Jon
Published: October 2024

This article addresses homesharing, a new term for a centuries-old practice of homeowners allowing overnight guests in their homes. Lawmakers nationwide are cracking down on homeowners’ ability to use the internet to offer their homes for rent. Next, this article discusses Angels on Earth, a dispatch service that connects people who are homebound due to age or medical condition with salon and spa services. Although its services only involved the exchange of information, bureaucrats tried to force Angels on Earth into the same regulatory framework as the cosmetologists the service deployed—a classic instance of regulatory mismatch. Finally, this article tells the story of Flytenow, an innovate startup that allows private pilots to share travel plans and trip expenses with passengers. Simply because Flytenow created a more efficient way to promote that longstanding and lawful practice, the federal government adopted new regulations that shut the business down completely.
These cases illustrate the absurdity of applying new regulations to longstanding practices—or shoehorning new businesses into old regulations—simply because technology has made the voluntary, harmless, and lawful exchange of goods and services more efficient.
Repairing Copyright: Getting Back to Basics and Ending an Era of Experimentation
Authors: Howard John
Published: October 2024

How do we protect works that are imbued with our culture, and incentivize the production of such works? Obviously, these two ideas can easily create tension between each other. Historically, governments have attempted to achieve both goals by providing a limited monopoly to the authors so they could have exclusive rights to monetize their creation through controlled dissemination. The limitation of these rights is what was viewed as providing the needed balance between the private and public needs. The current state of the United States copyright regime, and the continual expansion of the private rights it affords, has created an imbalance in the system.
This article will discuss the source of this imbalance and the competing ideas that have been proposed to try and restore the cultural commons through a strengthening of the public domain. It will then propose changes to the law that will help repair the current copyright regime. Section A will provide a brief history of copyright and highlight its underlying purpose of making sure knowledge remains available to the public at large. Section B will then trace the gradual expansion of the private rights afforded by copyright and demonstrate the slow movement away from its original purpose. Section C will discuss the enclosure of the public domain and cultural commons by the increasing propertization of copyrights and the focus on individual rights. Section D will discuss current efforts to strengthen the public domain and proposed solutions. Section E will propose changes to the current law that will have the effect of bringing the copyright regime back in line with its original purpose and reducing its negative impact.
Facial Recognition Technology: How Will Lawmakers and the Courts Respond to the Growing Demand for Policy Development?
Authors: Bosarge Claire
Published: October 2024

This Article addresses the privacy concerns presented by the widespread unregulated implementation of FRT and explores possible responses by the legislature and courts. Part II details the mechanics of FRT and recent technological developments. Part III addresses why FRT may be characterized as a double-edged sword by touching on (1) the various applications of FRT in different industries, (2) the fallibility of FRT, and (3) the criticisms of FRT that drive the need for policy development. Part IV provides a detailed analysis of Carpenter, and predicts how the courts may interpret the holdings in Carpenter when faced with a case challenging FRT. Part V demonstrates the need for federal regulations restricting FRT and provides the pending and enacted state and local legislative acts imposing restrictions on the use of FRT. Part V also proposes model legislation for regulating FRT. Part VI discusses the pervasiveness of surveillance cameras equipped with FRT in China to demonstrate the dystopic like society that can result from the widespread, unregulated use of FRT.
Let’s Talk About (Fake) Sex Baby: A Deep Dive Into the Distributive Harms of Deepfake Pornography
Authors: Akerley Shelby
Published: October 2024

This Note explores the distribution of deepfake pornography and the complicated legal web it has created – pitting internet free speech, existing law, and human dignity against each other. Part I provides a brief overview of the machine-learning technology used to create deepfake pornography. Part II discusses the current legal environment that protects the distribution of deepfake pornography. Particularly, Part II explains the relationship between free speech, pornography, obscenity, Section 230, and lack of federal regulations in the context of deepfake pornography. Part III explores the impact that distribution of deepfake pornography has on victims. Part IV presents the argument that it is the distribution of deepfake pornography that causes harm and analyzes why existing law does little to prevent distribution. Part IV offers the solution that ISPs, as the mechanisms for distribution, should held liable for the distribution of deepfake pornography. Part IV advocates for a combined solution of a federal criminal law prohibiting the distribution of deepfakes and an amendment to Section 230 to exclude immunity for ISPs who knowingly distribute deepfake pornography. Such a solution eradicates the distribution of deepfake pornography without censoring lawful and socially valuable deepfakes, such as parodies and satire.
Use of Artificial Intelligence (AI) in the Field of Law
Authors: Wang Maoyu
Published: October 2024

The Arizona Supreme Court has sought ways to innovate justice by lowering costs for legal services. Artificial intelligence (AI) appears as a possible solution. Using AI in the field of law may help decrease costs for legal services. Additional benefits include saving time for lawyers and helping lawyers better communicate with the client. However, an AI tool inherently comes with shortcomings due to the way it operates, e.g., deep learning. The nature of being a black box to programmers and developers causes the AI to have unknown risks especially in lawsuits. Although many AI tools exist on the market and the public can envision the future of their applications, legal disputes may arise when those unknown risks become realities. An AI tool may fail in giving optimal outputs or give biased outputs, resulting in claims like ineffective assistance of counsel or legal malpractice. Apart from the legal ambiguities of topics around using AIs, the client’s interest is not best served by adding additional litigation. This Note proposes ways for lawyers to mitigate their liabilities through contracting indemnification clauses with AI program providers. Alternatively, to suing lawyers and adding additional legal disputes, the client may seek insurances against unknown risks caused by AIs. State supreme courts may gradually increase the amount of AI uses and protect clients through express written consent. Lastly, state legislatures also have an interest in passing laws protecting citizens’ data privacy.
Navigating the Terrain of Geofence Warrants
Authors: Brodner Emily
Published: October 2024

This Note critically examines the legal intricacies surrounding geofence warrants in the context of the Fourth Amendment, delving into the evolving dynamics of privacy rights and law enforcement capabilities in the digital era. It provides an in-depth analysis of company policies, particularly those of major tech companies, and scrutinizes a range of federal opinions to assess the current legal stance on geofence warrants. The paper advocates for a judicious approach that balances individual privacy with the investigative needs of law enforcement, proposing a refined framework for the application of geofence warrants. This includes a recommendation for a two-step warrant process and clearly defined standards for probable cause, particularity, and overbreadth, aimed at aligning these warrants with constitutional principles and addressing the unique challenges posed by emerging technologies.
Artificial Lawyering: A Jekyll and Hyde Story
Authors: Spagnuolo Nicholas R.
Published: October 2024

Artificial intelligence (AI) is increasingly used by the public to make important decisions, from the advancement of business algorithms to aiding with college admissions processes. Much has been written recently about AI and the law. But where is the intersection between AI and the law? And where is the line drawn to separate the two? This Article addresses the benefits and detriments to the use of AI in the legal setting, and provides a solution through the Model Rules of Professional Conduct to capture the benefits while simultaneously abating the detriments.
The discussion aims to break down the typical black-box description by computer scientists who create their own lexicography into an understandable, easily discernable analogy. To that measure, I first discuss AI generally to create a baseline understanding. I then turn to how AI is used in the current legal setting by both lawyers and laypersons. A key motivation to writing this Article is to highlight the systemic problems plaguing the legal system, and how AI can resolve these problems. However, science has taught us that every action has an equal and opposite reaction. The benefits of legal aid through AI are contrasted with discussions about how the use of AI in the legal field can create more issues than it solves, such as implicating the unauthorized practice of law (“UPL”), endangering the public, and magnifying the effects of inherent bias in data sets. Finally, this Article suggests a proactive solution to reap the benefits of AI and minimize the potential problems that arise. Instead of an overview of AI and the law, this Article explores the ethical implications and policy arguments surrounding the use of AI in legal settings. In light of AI transforming the legal industry in numerous ways every day, society—and more specifically lawyers—must maintain their ethical principles in the changing environment.
Adjusting the Legal Profession’s Privacy Responsibilities to Keep Up with Technological Changes
Authors: Wolek Kristin
Published: October 2024

Protecting privacy is rarely simple. Privacy is a right that has significant limitations, especially where legal actions are concerned. For example, there are situations in which privacy laws may be relaxed, especially when it comes to criminal activity. In these instances, information being shared may not necessarily be considered a breach of ethics. Moreover, there are situations in which a lawyer may be allowed to violate their duty of confidentiality, such as when they have confidential information that would prevent harm to another person. In these instances, it can be complicated for lawyers to assess the nuances of the situation, especially when their client shares information—in confidence—about criminal activity. Thus, an ethical lawyer must often consider how to properly and ethically use the sensitive and private information they obtain.
The obligations lawyers have regarding information are very serious. A breach of privacy ethics could have a drastic impact on individual clients and on the practice of law in general. The legal profession remains fairly traditional compared to other industries, and as a result, modern technology is something many lawyers may not be especially knowledgeable about. Legal professionals may not understand the risks associated with this technology, especially when it comes to cyber security. However, they must learn about technology and the ways in which it may impact privacy in the legal field in order to uphold legal ethics.
Reinventing the Wheel by Taking It Away: How Autonomous Vehicles Will Shape Land Use Law
Authors: Montoya Tomas
Published: October 2024

As the development and deployment of autonomous vehicles (AVs) accelerate, they are set to have a profound impact on a range of societal domains, including land use law. The potential benefits of AVs for land use are substantial, with the potential to free up large tracts of land, increase transportation efficiency, improve accessibility, and more. However, there are also significant concerns regarding the negative impacts of autonomous vehicles, such as increased urban sprawl, decreased public transportation and funding, and increased demand for curb space. As such, it is essential to examine the various ways in which AVs will impact land use laws and regulations to properly plan our future cities. This paper aims to consolidate existing research on AVs, provide a comprehensive analysis of the likely impacts of AVs on land use law, and explore new policies and regulations that will need to be put into place, if they haven’t been already, to ensure that the continued implementation of AVs is consistent with broader societal goals of sustainability, equity, and efficiency.
Determination of Static Flow Characteristics of A Prototypical Differential Valve Using Computational Fluid Dynamics
Authors: Kisiel Marcin , Szpica Dariusz
Published: October 2024

The paper describes the numerical calculations of a conceptual air brake valve of a trailer equipped with a differential section, which is intended to shorten response time and braking distance. The static flow characteristics have been determined using computational fluid dynamics (CFD). Mixed (global and local) computational meshes were used in the paper to determine the static flow characteristics of the valve sections. The use of the local mesh was relevant for valve openings smaller than 0.5mm. Using CFD, it was possible to determine the static flow characteristics of the main, auxiliary feed and the differential sections, which were linear, degressive and progressive depending on the section. The analyzes, which have not yet been described in the literature, showed a significant difference in the MFR of the additional and main feed tracts, which reached 52.29%.The results are applicable to the configuration of the braking system. Further research will include performing dynamic simulations using dedicated software and building a test rig to validate the CFD calculation results.
The Construction of Analytical Exact Soliton Waves of Kuralay Equation
Authors: Faridi Waqas Ali , Bakar Muhammad Abu , Myrzakulova Zhaidary , Myrzakulov Ratbay , Elamin Mawahib , Ragoub Lakhdar , Akinyemi Lanre
Published: October 2024

The primary objective of this work is to examine the Kuralay equation, which is a complex integrable coupled system, in order to investigate the integrable motion of induced curves. The soliton solutions derived from the Kuralay equation are thought to be the supremacy study of numerous significant phenomena and extensive applications across a wide range of domains, including optical fibres, nonlinear optics and ferromagnetic materials. The inverse scattering transform is unable to resolve the Cauchy problem for this equation, so the analytical method is used to produce exact travelling wave solutions. The modified auxiliary equation and Sardar sub-equation approaches are used to find solitary wave solutions. As a result, singular, mixed singular, periodic, mixed trigonometric, complex combo, trigonometric, mixed hyperbolic, plane and combined bright–dark soliton solution can be obtained. The derived solutions are graphically displayed in 2-D and 3-D glances to demonstrate how the fitting values of the system parameters can be used to predict the behavioural responses to pulse propagation. This study also provides a rich platform for further investigation.
Application of Numerical Integration in Analysing the Volume of Reinforcement Particles in Algorithms for Generating Representative Volume Elements (RVEs)
Authors: Mieczkowski Grzegorz , Szpica Dariusz , Borawski Andrzej
Published: October 2024

The paper focuses on spatial modelling of composites with discontinuous reinforcement. The algorithm for creating a representative volume element (RVE) must consider random distribution and size of reinforcing particles (RP), prevention of RP interpenetration, and maintaining the desired volume fraction of the reinforcing phase (Vp) in the composite microstructure. Assuming fixed RVE dimensions and randomly determined RP size, the actual Vp value needs to be continuously determined. If the assumed (desired) Vp is lower than the current value, additional reinforcement is added to the RVE. As the RP location is random, some particles may extend beyond the RVE limits, affecting Vp calculation. The research aims to determine the RP volume within the RVE boundaries when RP extends outside. The RVE was discretized with N points, and the number of Ni points within the area occupied by RP was determined. The sought value was calculated using the ratio Ni /N = Vp /VRVE, where VRVE, is the volume of the RVE. Two discretisation methods, systematised (RI) and random (Monte Carlo (MC)), were employed. The study investigated the effects of discretisation type and number N points on calculation accuracy and microstructure generation time for particle-reinforced composites in sphere, cylinder, and ellipsoid shapes. Systematised discretisation yielded higher accuracy/stability, with number N dependent on RP dimensions. The MC method reduced generation time but introduced instability and significant errors.
Automation of the Oil Extraction Process Performed by Means of A Screw Press
Authors: Lobur Mykhailo , Korendiy Vitaliy , Kachur Oleksandr , Havran Volodymyr
Published: October 2024

The continuous development of the oil-manufacturing industries causes the necessity of improving extraction technologies. In this case, the specific interest is focused on the control systems of screw presses. Among a great variety of such machines, the small household presses are in significant demand among consumers. Various seeds and kernels require different technological conditions to be provided in order to maximize the qualitative and quantitative characteristics of the extracted oil. Therefore, the main objective of this research is developing and testing the control system allowing for automation of the oil extraction process. Particularly, the temperature parameters of the pressing chamber, extracted oil, and electric motor are to be monitored and limited. In addition, the consumer should be able to predefine the mass of the oil to be extracted. Considering the small household screw press LiangTai LTP200, the general algorithm (block diagram) of the control system operation is proposed and the corresponding experimental prototype is developed. The latter is based on the Arduino Mega microcontroller and is equipped with three temperature sensors, two coolers (fans), one heater, and one mass sensor. The proposed control system allows for continuous monitoring and limiting of the pressing chamber, oil, and electric motor temperatures, as well as the mass of the extracted oil. The experimental data show that the pressing chamber preheating process lasts for about 3 min (170…190 s) and its maximal temperature does not exceed 44°C. The temperature of the extracted oil does not rise over 61°C. The motor temperature changes within the range of 69...71°C. The oil extraction productivity is as follows: 1.2 kg/h (sunflower seeds), 1.06 kg/h (walnut kernels), 0.9 kg/h (almond kernels), and 0.78 kg/h (peanut kernels). The obtained results can used in further investigations focused on analyzing the influence of these parameters on the quantitative and qualitative characteristics of the extracted oil.
The Effect of the Molecular Weight of Hyaluronic Acid on the Rheological and Tribological Properties of the Base for Artificial Synovial Fluid Preparations
Authors: Karpowicz Monika Izabela , Klekotka Marcin , Dąbrowski Jan Ryszard
Published: October 2024

The synovial fluid is responsible for adequately lubricating, moisturizing, and nutritional human joints. This liquid should have appropriate viscoelastic properties and ensure a low coefficient of friction in biotribological systems. Many artificial synovial fluid preparations used in viscosupplementation treatments are based on hyaluronic acid. This work aimed to evaluate the influence of molecular weight on the functional properties of solutions based on hyaluronic acid. 1% solutions based on hyaluronic acid with five different molecular weights from 50,000 Da to 2 MDa were made. Rheological (viscosity, viscoelasticity), tribological (coefficient of friction, wear assessment), and wettability tests were carried out. Significant differences were observed in the rheological tests, where the viscosity strictly depends on the molecular weight of the hyaluronic acid. It has been shown that the molecular weight of HA has little effect on the coefficient of friction. On the other hand, the differences in the tribological wear are much more significant. The molecular weight of biopolymers is one of the essential parameters in developing new artificial synovial fluids. Using a higher molecular weight of hyaluronic acid increases viscosity and wettability, resulting in less tribological wear.
Automatic Method of Macular Diseases Detection Using Deep CNN-GRU Network in OCT Images
Authors: Powroznik Pawel , Skublewska-Paszkowska Maria , Rejdak Robert , Nowomiejska Katarzyna
Published: October 2024

The increasing development of Deep Learning mechanism allowed ones to create semi-fully or fully automated diagnosis software solutions for medical imaging diagnosis. The convolutional neural networks are widely applied for central retinal diseases classification based on OCT images. The main aim of this study is to propose a new network, Deep CNN-GRU for classification of early-stage and end-stages macular diseases as age-related macular degeneration and diabetic macular edema (DME). Three types of disorders have been taken into consideration: drusen, choroidal neovascularization (CNV), DME, alongside with normal cases. The created automatic tool was verified on the well-known Labelled Optical Coherence Tomography (OCT) dataset. For the classifier evaluation the following measures were calculated: accuracy, precision, recall, and F1 score. Based on these values, it can be stated that the use of a GRU layer directly connected to a convolutional network plays a pivotal role in improving previously achieved results. Additionally, the proposed tool was compared with the state-of-the-art of deep learning studies performed on the Labelled OCT dataset. The Deep CNN-GRU network achieved high performance, reaching up to 98.90% accuracy. The obtained results of classification performance place the tool as one of the top solutions for diagnosing retinal diseases, both early and late stage.
Research on the traceability of attack teams based on offensive and defensive confrontation
Authors: Guo Libo , Yang Lin , Wang Ye , Chen Xiang , Bai Yunhe , Hou Shuangshuang
Published: October 2024

This paper explores how attack teams effectively counter trace-back efforts to safeguard their anonymity and security in network attack and defense confrontations. As network attacks become more prevalent and complex, attackers constantly use more covert and sophisticated methods to conduct attacks, making tracking and tracing a critical challenge in cybersecurity. The paper begins by evaluating joint attack trace-back techniques and methods, which include those based on network traffic analysis, malicious code analysis, and log auditing. Simulated experiments in natural network environments validate the effectiveness and feasibility of the proposed strategies. The research findings demonstrate that anti-tracing strategies based on offensive confrontation can effectively enhance the anonymity of attack teams and their ability to withstand trace-back attacks, offering new insights and methods for cybersecurity defense.
Construction of a multi-technology fusion e-commerce data transaction optimization model based on federated learning
Authors: Xu Chang , Wu Peng , He Jingyu , Chen Zhijie , Liu Yang
Published: October 2024

The constraints of data protection make the data confined to different enterprises and organizations, forming many “data islands” and making it difficult to bring out the important value it contains. In this paper, we use federated learning technology as the service foundation and introduce differential privacy, federation chain, interstellar file system, and trusted execution environment to construct a multi-technology fusion e-commerce data transaction method. The three concepts of budget feasibility, individual rationality, and incentive mechanisms are applied to the data transaction scenario to design smart contracts. At the same time, the incentive mechanism is created by combining the trusted execution environment and Shapley value, and the transaction process model is optimized. Simulation comparison is carried out based on the public dataset of the Taobao e-commerce platform, and the experimental results show that MTFDT can realize the accurate evaluation of the model training effect, and the incremental profit stabilization point of the data buyer and seller is around 0.4, which improves the fairness of benefit distribution.
Jewish Art Studies in the Lithuanian Yiddish Press of the Interwar Period (1918–1940)
Authors: Gradinskaitė Vilma
Published: October 2024

Lithuanian art studies as an independent branch of science began to take shape in the First Republic of Lithuania between year 1918 and 1940. During 22 years in a multinational free state, it followed a winding path of mastery, professionalism, and the formation of a critic’s thought. However, if the origins, development, and forms of interwar Lithuanian art studies already are being explored, the Jewish art studies are still waiting for its first investigations. The purpose of this article is to broaden the scope of Lithuanian art research by incorporating the layers of interwar Jewish art studies conducted in the Yiddish language. Using the combined methodology of research as method of source studies, the aspects of social history of art and the comparative method, the Jewish art studies were analysed as a specific phenomenon which functioned alongside Lithuanian art studies. Throughout this research, over 1,000 Yiddish publications were reviewed to find the answers to the never previously discussed questions – how many Jewish art historians and critics contributed articles to the Yiddish press, what kind and quality of publications about Jewish art were featured, what aspects of Jewish art, artists, and society did Jewish art critics emphasise, and what kind of relationship existed among art critics, artists and public. The article also encompasses the short biographies of the most prominent Jewish authors in the field of art criticism.
Enhancing Wireless Communication Efficiency Using Dynamic Nonlinear Distortion Adaptive Optimization Analysis
Authors: Jayarani R , Narmadhai N
Published: October 2024

Modern communication networks require improved signal quality and spectrum efficiency. Modern wireless communication relies heavily on the multiple input multiple output (MIMO) technology to improve spectrum efficiency and achieve faster data rates. However, the performance of MIMO systems is significantly hampered by non-linear distortions in power amplifiers (PA), especially under dynamic operating conditions. Traditional methods to reduce these distortions often lack the adaptability required for effective optimization. The proposed dynamic nonlinear distortion adaptive optimization analysis (DNDAOA) therefore introduces an adaptive approach that dynamically adjusts the pre-distortion signals using real-time feedback mechanisms. DNDAOA effectively reduces non-linear distortions and thus improves the performance of MIMO systems. Simulation results show that DNDAOA significantly increases spectrum efficiency, reduces error rates, and improves signal quality. This method is widely used in areas such as wireless telecommunications, internet of things (IoT), autonomous vehicles, and smart infrastructure, driving advances in connectivity, reliability, and data integrity.
Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots
Authors: Bharathi V , Natraj N A , Gopinath S , Kiruthikaa R
Published: October 2024

For years, researchers have been studying computer vision, i.e. the ability of artificial intelligence (AI) systems to perceive and interpret visual data like humans. This study is gaining increasing attention as researchers aim to develop tools that automate visual tasks and replicate human visual awareness. However, the interpretation of images is very complex due to the vast amount of multi-resolution information they contain, making the development of AI technologies for visual recognition particularly challenging. This article provides an overview of digital image processing, highlighting the main concepts and introducing key algorithms. These methods are designed to capture, process, and interpret digital images and enable the extraction of important data from real-world environments. We conduct rigorous image processing tests and compare AI-driven recognition systems with human analysis. The results show that computer vision technology significantly outperforms human observation in terms of accuracy and consistency. These results highlight the potential of computer vision to revolutionize various industries by automating complex visual tasks and offer promising future applications in areas such as healthcare, security, and manufacturing. The paper provides valuable insights into current advances in digital image processing and the role of AI in improving visual recognition capabilities, paving the way for further innovation in this area.
Metric Stability of One Month Handgrip Maximal and Explosive Isometric Strength Measured by Classic and Impulse Contractions
Authors: Vukadinović Nevena , Šmrkić Marko , Stefanović Života , Ilić Vladimir , Nikolić David , Zlatović Igor , Dopsaj Milivoj
Published: October 2024

The aim of this study is to determine the metric stability of the one-month handgrip test (HGT) in order to define the contractile characteristics of the biological variation of maximal isometric strength (F
max) and maximal isometric rate of force development (RFD
max) of the handgrip in two different testing regimes (classic and impulse). The study was conducted with a total of 16 participants (11 men and 5 women). Testing was performed using an isometric handgrip probe with a standardized test protocol and equipment sports medical solutions (SMS). The results of F
max showed a low relative standard error of the mean (RS = 1.33 %), a high value of inter-class correlation (ICC = 0.996), and no statistically significant change in trend (p > 0.05) during the testing period. Therefore, can conclude that the HGT procedure in classic mode can be used as a stable parameter in a human subject sample. However, the RFD
max results showed a low RS (2.13 %) and a high ICC value (0.996), but a statistically significant change of trend (p < 0.05) during the measurement period. The regression constant (RCO) trend was 42.629 N/s, which can be attributed to learning or to the adaptive effects of the test procedure, which triggered similar adaptation processes as the training. In general, it can be concluded that the handgrip can be used to sensitively measure the effects of different long-term health improvements, or the effects of different medical/health exercises, rehabilitation programs, effects of medication applications, or dietary supplements for F
max. However, further research should be conducted for the RFD
max considering the metric stability parameters.
Criteria and Sustainability Practices in Public Procurement: An Analysis From the Perspective of UNB'S Procurement Agentes
Authors: Ulhoa Tatiana , Costa Abimael De Jesus Barros , Faria Emília de Oliveira , Mendes Nara Cristina Ferreira
Published: October 2024

Objective: The objective of this study is to analyze the adoption of sustainability criteria and practices in public contracting processes at University of Brasília (UnB) based on the perception of purchasing agents.
 
Theoretical Framework: The theoretical framework consists in relevant research on the topic and recent studies applied to Higher Education Institutions (HEIs), highlighting main findings, identified barriers and proposed solutions.
 
Method: Adopted documentary research and questionnaires. The data obtained through the application of the aforementioned instruments were transferred to an electronic spreadsheet and analyzed using descriptive methods.
 
Results and Discussion: Show a complex scenario, where the majority of UnB's purchasing agents have advanced training and seek information about sustainability, but there are still significant gaps in the knowledge and application of the institution's environmental policies. The perception about sustainability at UnB is divided, reflecting the need for greater communication, training and strategic alignment to promote more sustainable organizational culture.
 
Research Implications: This research deals with a relevant and current topic in the context of public administration, by demonstrating the practices adopted and potential for improvements.
 
Originality/Value: This study contributes to literature by delving deeper into a new topic, which consequently requires further studies and analyzes for advances in the technical and scientific field, since the results identified through evidence and findings can add gains for Public Administration.
Indaga-T Innovation Group: A Trajectory of Teaching Collaboration
Authors: Valero Joan-Anton Sánchez , Herraiz-García Fernando
Published: October 2024

Objective/Theoretical Framework: This paper orders various experiences of teaching innovation in the context of the Indaga-t group of the University of Barcelona. In them, the collaboration between professors from different Degrees taught in the faculties of Education and Fine Arts is shown.
 
Method: The work carried out went beyond sharing teaching, displaying a series of methodologies that led teachers to work in joint actions intervening in the same space and time with students.
 
Results and Discussion: The text shows how various dilemmas were faced in a university context where, increasingly, the relationship between the credits of the courses and their teaching assignments do not invite teachers to interact by going to the classroom together.
 
Implications of the Research: The challenge involved reflecting and becoming aware of the motivations that combined efforts in the face of a stiff institution where time is a scarce resource.
 
Originality/Value: The experiences of communication are the result of learning relationships between teachers and students who worked together collaboratively from different areas of knowledge; These experiences speak of the commitments that were assumed as our beyond our own courses and their teaching plans.
Adsorptive Removal of Fluoride Using Waste Cigarette Butts Potential Application in Drinking Water Treatment
Authors: Sarkar Sreeja , Mondal Anupam , Chattoraj Soumya , Mondal Naba Kumar
Published: October 2024

An intractable dangerous waste is cigarette butts and these wastes are discarded everywhere and ultimately cause severe threat to the health of environmental. In this study, waste cigarette butts were successfully converted to biochar and impregnation of Zn and Al metals for decontamination of fluoride from fluoride contaminated medium through adsorption study. This study provides a feasibility to convert a waste to a valuable material for possible solution of environmental pollution.
Spirituality and Scientific Observation to Solve the Riddle of Transformation of Dark Matter to Dark Energy and Lighted Objects
Authors: Das Dilip Kumar
Published: October 2024

Our eternal query is to know the absolute truth unveiling the mysteries of nature. There are two approaches to solve the riddle, the philosophical, using brain and scientific, using instruments and intelligence. The quest is about the condition of the universe before Big Bang and about Dark Matter which constitutes 71.1% of total mass. The philosophers are of the opinion that all creation is the manifestation of Brohman on the screen of Maya. The scientific concept of holographic model of universe depicts almost the same view.
GLOFs Disasters in Himalayas: A Defeat against Climate Change
Authors: Nandi Sandeep
Published: October 2024

In the fight against climate change, India had to face two crushing defeats in the form of environment disasters, the Glacial Lake Outburst Floods (GLOFs) in the Himalayas, in 2013 in Kedarnath and in 2023 in Sikkim. In the last 4 decades, the focus regarding global warming was on Ozone hole and polar ice caps which as per forecast, would melt, and cause sea levels to rise worldwide. No one had predicted the GLOFs disasters due to climate change. The above events call for monitoring and risk assessment of pro-glacial lakes in the Himalayan region to prevent any more disasters.