bluuebunny/crossref_metadata_2025 huggingface dataset:
Aspartame: A review of functional properties and physiology impacts of aspartame
Authors: Zhang Yuxin
Published: July 2024

Aspartame is a high-intensity, low-calorie, synthetic sweetener which has been approved as a food additive (specifically as a sweetener) in the European Union and several nations worldwide. Primarily, it is employed as a sweetening agent in carbonated beverages, confectionery products, and pharmaceutical preparations. Despite the extensive utilisation of this particular phenomenon, there continues to be ongoing debate over its safety. The Food and Drug Administration (FDA) acknowledges the findings of the International Agency for Research on Cancer (IARC) and the Joint FAO/WHO Expert Committee on Food Additives (JECFA) on aspartame, as stated on July 14, 2023. The classification of aspartame by the International Agency for Research on Cancer (IARC) as possibly carcinogenic to humans should not be interpreted as a direct causal relationship between aspartame use and cancer. This review paper presents a theoretical framework for the utilization of aspartame across several industries. It accomplishes this by examining its physical and chemical characteristics, physiological roles, contemporary approaches to chemical synthesis and biological production, as well as its application in the realm of food. The objective of this narrative inquiry is to enhance individuals comprehension regarding the utilization of aspartame and its potential impact on the human body through an examination of existing research. The present study examined a collection of scholarly papers pertaining to the impact of aspartame on many health aspects, including obesity, diabetes, pediatric and fetal health, phenylketonuria, and the potential carcinogenicity of this artificial sweetener. Further investigation is required in order to provide a comprehensive understanding of the potential impact of aspartame on human health.
Investigating the possible effects of AKT and FAK signaling pathways' inactivation on TNBC cell proliferation and TNBC patients' recurrence free survival via BAG3 regulation
Authors: Xue Ben
Published: July 2024

Currently, a lethal breast cancer called TNBC (triple-negative breast cancer) has been researched for decades. Related research has shown the mechanism of this cancer and the ways to recover it. According to the research, two signal pathways called AKT and FAK, existing downstream of BAG 3 (BCL2- associated athanogene3), were found as two triggers to positively regulate BAG 3 thus causing TBNC cell proliferation. Therefore, the question is: what is the effect of BAG 3 when AKT and FAK are inactivated? Will BAG 3 still be transcribed to cause TNBC cell proliferation? This paper lists all possible results of TNBC numbers (in petri dish) and tumor volumes (in mice as xenograft) changing by inactivating AKT and FAK, respectively, inactivating both or not inactivating, and lists possible reasons that cause these results.
Analysis of the Reasons for Multiple Rounds of Inquiries of Newlife Company under the Registration System
Authors: Ding Yi , Long Junyan , Ni Ziting , Wei Jingwen
Published: July 2024

The article will use Guangzhou Newlife New Material Co, Ltd., as the case study object after four rounds of inquiries. Through reading pertinent literature, compiling Guangzhou Newlife New Material Co, Ltd.,'s four rounds of inquiries letters and its reply information as well as the prospectus, and applying the AMPS model, the article will analyze the reasons for and the impacts of the enterprises' multiple rounds of inquiries. Under the Science and Innovation Board's registration system, some enterprises will be subject to multiple rounds of inquiries in their initial public offerings. The study's findings demonstrate that businesses must fully and completely disclose all relevant information and make sure that it is clear and simple in order to comply with the Science and Technology Board's (STB) audit process. Inquiry is helpful to alleviate information asymmetry and improve the pricing efficiency of initial public offering (IPO). Companies may improve their business plans and increase their competitiveness in the market by using many rounds of inquiry to gain a deeper understanding of their current state of affairs and prospective threats.
Real-time body movement tracking of athletes via a CNN-based approach
Authors: Tang Albert
Published: July 2024

Sports injuries frequently stem from improper poses and movements. This paper explores the potential of using video and deep neural network model in mitigating such risks. A novel real-time body movement tracking system is designed to enable athletes to analyze and refine their techniques without the need for intrusive sensors. Central to our approach is the development of a user-friendly graphical interface, facilitating the effortless display and examination of tracked movements. This system not only enhances athletic performance but also aims to significantly reduce the sports injuries.
The application and algorithm of fabric simulation in game industry
Authors: Zhang Shengjie
Published: July 2024

fabric simulation has emerged as a crucial aspect of computer graphics, particularly in applications such as film production, video games, and design. This paper provides a comprehensive review of fabric simulation methodologies, implementation techniques, and its diverse applications within the game industry. The fabric simulation algorithms are broken down into Fabric Modeling, Dynamic Simulation, and Collision Handling. The three common modeling strategies of Elasticity-Based Models, Particle-Based Models, and Mass-Spring Damper Models, are discussed in detail. Additionally, dynamic simulation strategies such as Position-Based Dynamics (PBD) and Extended Position-Based Dynamics (XPBD) are explored for their role in real-time simulations, particularly in the game industry. The paper also delves into collision handling algorithms, exploring the strategies for accurate collision detection and response. The application of fabric simulation in the game industry is highlighted, showcasing how it enhances realism and immersion by simulating fabric movement and interactions with the environment. The paper introduced various fabric simulation tools and systems within popular game engines like Unity 3D and Unreal Engine 5. Furthermore, optimization strategies, such as view-dependent adaptive simulation, are discussed to improve performance providing insight for future work.
A Transformer-based approach to highly granular source code authorship attribution
Authors: Shi Chongzheng
Published: July 2024

Traditional source code authorship identification methods often rely on features such as textual similarity, programming style or metadata, however, these methods often struggle to extract the precise source code authoring style when dealing with large-scale code bases or complex programming patterns, resulting in poor performance. Therefore, this paper proposes a Transformer-based high fine-grained source code author attribution method.Aiming at the problem of roughness of existing literature on word segmentation, this paper proposes a high fine-grained source code segmentation method to extract higher fine-grained features. Aiming at the problem of feature dimension redundancy, this paper adopts the Transformer network to locate sensitive features that can characterise the author's style.To verify the effectiveness of the model, it was tested on GCJ-C++ and GCJ-Java datasets. The experimental results show that the proposed method model achieves higher recognition accuracy in the source code authorship attribution problem compared to the traditional methods.
Enhancing 3D object detection by using neural network with self-adaptive thresholding
Authors: Liu Houze , Wang Cangqing , Zhan Xiaoan , Zheng Haotian , Che Chang
Published: July 2024

Robust 3D object detection remains a pivotal concern in the domain of autonomous field robotics. Despite notable enhancements in detection accuracy across standard datasets, real-world urban environments, characterized by their unstructured and dynamic nature, frequently precipitate an elevated incidence of false positives, thereby undermining the reliability of existing detection paradigms. In this context, our study introduces an advanced post-processing algorithm that modulates detection thresholds dynamically relative to the distance from the ego object. Traditional perception systems typically utilize a uniform threshold, which often leads to decreased efficacy in detecting distant objects. In contrast, our proposed methodology employs a Neural Network with a self-adaptive thresholding mechanism that significantly attenuates false negatives while concurrently diminishing false positives, particularly in complex urban settings. Empirical results substantiate that our algorithm not only augments the performance of 3D object detection models in diverse urban and adverse weather scenarios but also establishes a new benchmark for adaptive thresholding techniques in field robotics.
Deep reinforcement learning-aided minimum current control for the DBSRC based on harmonic analysis method
Authors: Yu Ziqiao , Li Zhengcheng
Published: July 2024

Aiming to optimize the modulation efficiency for the dual-bridge series-resonant converter (DBSRC), this paper proposes an deep reinforcement learning (DRL) aided EPS (DEPS) modulation scheme for minimum current operation based on the harmonic analysis method. Using the deep deterministic policy gradient (DDPG) algorithm as an advanced DRL algorithm, the scheme obtains the optimized modulation scheme DEPS through offline training of the agent, which can adopt the extended-phase-shift (EPS) modulation scheme and consider the zero-voltage-switching (ZVS) constraints. Thus, the trained agent of the DDPG which likes an implicit function, can provide optimal phase shift angle for the DBSRC in real-time with the minimum current and soft switching performance in the continuous operation range. Compared with the existing EPS modulation schemes using First Harmonic Approximation (FHA), the DEPS modulation scheme has similar operational efficiency and performance of the converter, while also possessing the ability to obtain modulation angles in real-time based on environmental parameters. Finally, PSIM simulation verifies the effectiveness of the proposed optimization scheme.
Enhancing text-audio generation by music classification and Retrieval-Augmented Generation
Authors: He Runyu , Zhu Junyi , Wang Bochen , Yin Yixuan
Published: July 2024

Recent advancements in deep learning have propelled the development of AI systems capable of generating music that resonates with human emotions and preferences. However, current music generation models still struggle to align generated music with detailed textual descriptions and maintain consistency, especially for longer compositions. This paper presents an innovative approach to address these challenges by integrating genre classification and retrieval-augmented generation (RAG) into the music generation pipeline. We train advanced CNN architectures, including ResNet-50, GoogleNet, and VGG16, for accurate genre classification. The classifier is then incorporated into a RAG framework, where the most relevant pre-classified music piece is retrieved based on the input text query. The retrieved audio and the text description are then fed into the MUSICGEN model to generate a new music piece that inherits attributes from both inputs. We evaluate our system through a double-blind human study, comparing the outputs of the original MUSICGEN model with our RAG-enhanced model. The results demonstrate a significant improvement in the ability of the RAG-enhanced model to generate music embodying specific stylistic elements, as evidenced by higher average confidence scores from participants. Our work represents a significant step towards more personalized and context-aware AI-generated musical experiences, laying the foundation for future advancements in this exciting field.
Improving OpenDevin: Boosting code generation LLM through advanced memory management
Authors: He Runyu , Ying Anyu , Hu Xiaoyu
Published: July 2024

OpenDevin, a code generation AI tool, has emerged as a powerful assistant for both technical and non-technical users, offering a practical approach to coding challenges. Unlike traditional code generators that merely output code, OpenDevin excels by executing code directly in a console, allowing for immediate testing and verification. This functionality not only streamlines the coding process but also enhances learning and troubleshooting, making it accessible to a broader audience. In this project, we address several key challenges to improve OpenDevins effectiveness, especially in handling multi-round conversations and contextually relevant code generation. Our team identified and tackled two main challenges faced by OpenDevin: variety of input, and multi-step conversations. Through incorporating a series of functions to parse, summarize, and organize LLM agents memory logs, we significantly improved OpenDevin agents capabilities among a variety of tasks. The integration of efficient memory management led to a notable increase in accuracyfrom 44.4% to 88.9% in multi-round conversations, highlighting the importance of effective memory management in AI-powered coding tools. This report details our methodology, the challenges we faced, and the solutions we implemented, showcasing OpenDevins potential to revolutionize the way users from various backgrounds engage with coding tasks.
Research progress in home energy management systems consideration of comfort
Authors: Yuan Ruofan
Published: July 2024

According to statistics, the carbon dioxide emissions from Chinas power industry account for about 40% of the total energy consumption and carbon dioxide emissions, while residential electricity consumption accounts for 36.6% of the total social electricity consumption. However, ordinary households have low electricity efficiency and serious waste. In the context of the national strategy of carbon peak and carbon neutrality, the Home Energy Management System (HEMS) has been introduced to improve household electricity efficiency, reduce electricity consumption, and achieve energy conservation and emission reduction while ensuring the comfort of residents. This article introduces the current research status of home energy management systems that take into account user comfort, and shows some optimization models for home energy management systems that take into account user comfort. It specifically elaborates on the optimization models for household appliances and comfort, briefly outlines the relatively trendy load prediction and scheduling optimization models, and proposes some suggestions and prospects for popularizing knowledge related to home energy management systems for family members using smart homes and temperature comfort modeling based on the current development status.
The technology of Formula 1 racing car
Authors: Lian Zizhao
Published: July 2024

Formula 1 racing is held every year. It dissects every part of an F1 car. Through the observation of F1 cars and watching races, the research data comes from real-time data published by major teams and articles published by well-known Chinese papers. If the power source is fixed, that is, the same pressure air is used as the power, and the simulation software is used to quickly and efficiently complete the design of the car model, to achieve higher speed with less air resistance. Everyone can get a clearer and more accurate picture of the structure of the F1 car. And better study the generation and utilization of aerodynamics. Based on the currently available research, this paper know that F1 cars have been pursuing the ultimate ground flight through constant changes to the body. The Formula 1 car is already the worlds most extreme invention of aerodynamics.
Study on the optimization process and application of FIR digital filter
Authors: Hao Zhenyu , Liu Chenyang , Ouyang Shaowei
Published: July 2024

As one of the components of digital signal processing technology, the FIR digital filter has been widely used in real life and played an increasingly important role due to its advantages of system stability and ease of linear phase. This paper will summarize and analyze the research results of some past scientific research teams on FIR digital filters, and show the optimization process of this technology and the application examples in real life. This paper focuses on the optimization process of noise reduction performance, delay and size, and energy consumption optimization of FIR digital filters. This study summarizes three examples of its applications in medical, audio processing, and radar. In the medical field, the processing of electrocardiogram (ECG) signals, the audio processing fields are the frequency shaping, noise removal, and signal enhancement of audio signals, and the precise filtering and processing of received signals in the radar field. At the end of this paper, the FIR digital filter has an irreplaceable role in all fields in the world and gradually develops in the direction of miniaturization and low power consumption in the future.
Indoor positioning systems based on visible light communication
Authors: Kong Runze , Li Ruiteng , Ma Zhengyang , Yu Yixiang
Published: July 2024

Indoor positioning systems (IPS) are crucial in the ever-expanding landscape of wireless communication systems. These systems can generally be classified into four categories based on the underlying positioning technologies. One of them is based on visible light technology using Light Emitting Diodes (LEDs). In this paper, we first present a simple transmission model from the sender to the receiver in a visible light system. Subsequently, we construct a higher-precision, cost-effective model based on the technology proposed by Epsilon. Next, we introduce the most commonly used fingerprint recognition method and triangulation method in visible light indoor positioning. Traditional fingerprint recognition methods have issues such as significant errors. Recent studies have proposed various improvements based on different problems. To address the problem of high position errors, new research introduces an accurate Visible Light Positioning (VLP) method based on location fingerprinting and meta-heuristic. The method presented in this paper addresses the issue of position errors being affected in special cases. A typical IPS is an indoor positioning system utilizing dual-tone multi-frequency (DTMF) technology. The system design involves arranging LED lamps in a rectangular grid shape and using a basic positioning unit. The research discussed in this paper also explores the calculation of channel gains and simulation results of positioning errors. In the proposed positioning system, the coarse position is obtained through the ID acquisition process. When the mobile unit receives one or more LED signals, the ID acquisition process is used to obtain the nearest LEDs ID based on the highest Received Signal Strength Indication (RSSI). Simulation results indicate an average positioning error of 18 millimeters at a Signal-to-Noise Ratio (SNR) of 10 dB. Through the results of our research, we conclude that the wide applicability of VLC technology makes it a cornerstone in many fields. In our daily lives, optical communication positioning technology continues to improve, promising broader applications in the future.
Optimizing delay and energy in 4-bit absolute-value detector circuits: A balancing act
Authors: Zheng Yuhan
Published: July 2024

This research focuses on optimizing the 4-bit absolute-value detector circuit. This paper firstly introduces the basic theory of the circuit as the foundation of the analysis. It contains the function, logic and the theories which are used in the design. Secondly, this paper optimizes the circuit from two perspective, which are the delay and the energy. This research aims to find the relation between these two factors. Furthermore, because the delay and the energy are both critical to the performance of the circuit, and the conditions that determine one of the two factors also affect the other, this research also attempts to find a balance point which can optimize them as much as possible. In the end, this paper summarizes the result about the optimization and analyses the deficiencies of the experiment methods. This paper also gives suggestions about the perspective that the further studies can focus on in order to optimize the 4-bit absolute-value detector in a deeper degree.
Измерения шумовой температуры антенн высокочувствительной приемной системы
Authors: Гулян А. Г. , Езакян Н. Д. , Аракелян А. С. , Мадосян Л. В.
Published: July 2024

Радиоастрономические методы измерения параметров антенн позволяют с высокой точностью измерять шумовую температуру на входе радиометра. В связи с появлением антенн с высокой эффективностью повысились требования к высокоточным измерениям шумовой температуры антенн. Показано, что для получения одинаковой точности измерений предложенный метод уменьшит число измерений почти на порядок по сравнению с методом ''двух нагрузок''. Это обстоятельство резко сокращает время, необходимое для измерения шумовой температуры, что очень важно при измерениях шумовой температуры крупных антенн.
Անտենաների բնութագրերի չափման ռադիոաստղագիտական եղանակը թույլ է տալիս մեծ ճշտությամբ չափել անտենայի աղմկային ջերմաստիճանը ռադիոմետրի մուտքում։ Մեծ արդյունավետությամբ անտենաների ի հայտ գալը բարձրացրեց պահանջները մեծ ճշտությամբ անտենայի աղմկային ջերմաստիճանի չափման համար։ Ցույց է տրված, որ նույն չափման ճշգրտությունը ստանալու համար առա- ջարկվող մեթոդը նվազեցնում է չափումների թիվը գրեթե կարգով՝ համեմատած «երկու բեռնվածքի» մեթոդի հետ: Այս հանգամանքը կտրուկ նվազեցնում է աղմկային ջերմաստիճանի չափման համար անհրաժեշտ ժամանակը, ինչը շատ կարևոր է մեծ անտենաների աղմուկի ջերմաստիճանը չափելիս։
Radioastronomy method for measuring antenna properties allows to measure noise temperature in the input of radiometer. Because of high-efficiency antennas were founded, the requirements for high-precision measurements of noise temperature of antennas have increased. It is shown that in order to obtain the same measurement accuracy, the proposed method will reduce the number of measurements by almost an order of magnitude compared to the “two loads” method. This circumstance sharply reduces the time required to measure noise temperature, which is very important when measuring the noise temperature of large antennas.
Cultivating Wisdom Within Education: A Mind/Heart Synergy
Authors: Doetzel Nancy-Angel
Published: July 2024

Administering both a spiritual and scientific perspective to educational leadership could create a blend of "wisdom schools and "knowledge factories" within systems designed for learning. This perspective supports a belief that mind intelligence and heart wisdom should function as an interdependent dynamic; the heart's latent capacity for universal intelligence and wisdom must, like the mind, be provided with models for its full growth and development. Because education systems have tended to focus on preparing students for the job market and retaining a healthy status quo, many leadership and teaching models have ignored the value of contemplation or volunteer work, as part of the curriculum to cultivate wisdom. However, some post-modernists are currently aiming to cultivate wisdom within education by endorsing a mind/heart synergy.
Bridging the Theory-Practice Gap: Situated Learning as a Pedagogical Framework/or Teaching Undergraduate Nursing Students
Authors: Hickey Jason , Hasnani-Samnani Zohra , Ryba Ken
Published: July 2024

A theory-practice gap has been described in the literature where essential nursing skills and knowledge covered in the classroom do not transfer well to the clinical setting. In order to minimize this gap, a situated learning framework was implemented to teach essential skills and knowledge to 2nd year medical/surgical nursing students. This paper describes the innovative development and implementation of this approach in detail. A clinical simulation center was utilized to create an authentic learning environment and a collaborative community of practice was established through the use of situated learning strategies. These included case scenarios, reflective practice and debriefing, cognitive apprenticeship, collaboration, coaching, multiple practices, articulation of learning skills, and the use of technology. The situated learning approach enabled simultaneous delivery of multiple teaching and learning points. Students' feedback suggests that this hands-on, interactive approach is engaging for students and teachers, has potential to reduce the theory-practice gap and is a viable and valuable theoretical approach to nursing instruction.
Development of a Clinical Nursing Word List
Authors: Hickey Jason , Adam Mohamoud , Ryba Ken , Edwards Evelyn , Al Neama Mariam , Jumah Reem , Al Dosari Maha , Al Mohammadi Jawaher , Zadeh Hanan
Published: July 2024

Nursing students who study in a foreign language face significant barriers to success. In particular, reading and listening comprehension have been identified as challenges for English language learners. Several studies have examined language use in nursing and medical journals but there is a lack of focus on oral vocabulary. This study aimed to identify nursing-specific oral vocabulary that is used in clinical instruction. 63.6 hours of clinical instruction was recorded and analyzed. Over 40% of vocabulary was not contained in common English and Academic word lists used to guide foreign language vocabulary instruction. Current results suggest that a considerable technical vocabulary exists for the nursing profession. It is possible that identification of this vocabulary and its incorporation in pre-nursing studies may have benefits for foreign language nursing students. Comparison of results with similar studies reveals apparent differences in vocabulary use between medicine and nursing, and between oral vocabulary and vocabulary from nursing journal articles. These differences highlight the importance of incorporating a broad range of data sources to develop a comprehensive set of nursing-specific vocabulary.
Book Review: The Resilient Nurse: Empowering Your Practice
Authors: Carroll Sharon
Published: July 2024

The authors present an excellent resource for nursing students, nursing educators and nurses in clinical practice to enhance resiliency strategies in preparation for facing challenging situations in the healthcare environment within the context of nursing practice. The purpose of the book is to provide a guide in fostering and building resilience by developing capabilities that promote " strong, determined, enthusiastic, and effective responses when facing adversity, challenges, hardships, and disappointments" (p.xiv). The goal is to help empower nursing students (and nurses) to take decisive action, " ... implementing changes that will moderate the impact of stress and adversity on workers' lives" (p.15).
An Academic’s Ethical Obligations for Self-care
Authors: Wilcox Gabrielle , Schroeder Meadow
Published: July 2024

aAcademics have experienced increased stress in recent decades due to changing workplace demands. Chronic levels of high stress can lead to poor psychological, physical, productivity, and relational outcomes. While academics have ethical guidelines for research, there is no overarching set of ethical guidelines for other aspects of academic responsibility. We argue that many of the ethical guidelines for psychologists can guide academics in ensuring appropriate self-care choices. Self-care requires ongoing practices—such as boundary setting and prioritizing of career and personal goals, as well as practices for states of extreme stress—such as utilizing an ethical decision-making process. Institutions also have a critical role in supporting academics to engage in self-care practices.
Sociological Aspects of the Tokyo Olympics
Authors: Belov A. V.
Published: July 2024

The Olympic and Paralympic Games in Tokyo in July–September 2021 took place in a challenging social environment that seriously affected the public perception of the events. When preparing for the Olympics from 2013–2019, the Japanese people actively supported the Games, which was confirmed by the results of numerous sociological studies. In March 2020, the COVID-19 pandemic began, followed by several waves of infection spread. The competition was postponed for a year. Vaccination in Japan was delayed compared with most of the G7 countries. Against this background, in the summer of 2021, the most dangerous Delta strain of coronavirus began to spread in the country, bringing a rise in mortality rates and overcrowding in hospitals in large cities. In this difficult epidemiological and social situation, surveys recorded a negative attitude towards the Olympics.However, during the competition, the majority opinion once again turned positive, mainly due to the athletic successes of the Japanese team and effective anti-virus control measures. The absence of spectators in the venues, most probably, did not affect the sporting achievements significantly. At least, the Japanese Olympic team won a record number of medals. Infection prevention measures proved effective in limiting the transmission of the virus among the athletes and the Japanese service personnel. The economic and symbolic achievements of the Games did not meet expectations, as, during the Olympics, it was not possible to properly address its significance as the end point of the low-growth “lost decades”, evidence of economic recovery after the triple disaster of 2011, and as a tool to increase Japan’s tourist attractiveness.Therefore, during the pandemic, major sports events should be held primarily to train top-class athletes and to increase populace satisfaction with the success of the national team rather than to obtain direct economic benefits or improve the host country’s image.
Evolution of the Concept of “Small Japan” in the late 19th and early 20th centuries
Authors: Meshcheryakov A. N.
Published: July 2024

After the Meiji Revolution, Japan developed a strong national inferiority complex. It was manifested, in particular, in relation to the size of Japan’s territory. Even though it was comparable to the major European countries, it was still considered “small”, since Japan compared itself with the collective and “hostile” West. In addition to the territorial “smallness, there was another meaning justifying the use of the term “small” with regard to Japan. During the Meiji period, Japan had an exceptionally rapid population growth. Malthusiantinged concerns about this began to be pronounced in the late 1880s. Economists and demographers started talking about the fact that the territory of Japan was “small” for the rapidly growing population. The measures proposed by Malthus to reduce the birth rate were not discussed in Japan for ethical reasons, and also because a large population was seen as the “power” and “vitality” of the nation. Instead of measures to change reproductive behavior, projects for the resettlement of the Japanese abroad began to be proposed. However, all plans to encourage emigration were frustrated by the reluctance of the Japanese to leave their homeland. In the emigration context, publicists of that time often regarded the attachment of the Japanese to their home area as a negative property. The debate about Japan’s overpopulation escalated in the 1920s due to the food problem. It could certainly have been solved, but it would have required considerable effort and time. However, the military-political elite showed impatience and decided that the main way to solve the problem of overpopulation was military expansion. Despite the continued population growth and increasing demographic pressure, a policy of encouraging fertility began to be implemented in the late 1930s.
Analyzing the Anthropological Implications of Artificial Intelligence through the Theology of Joseph Ratzinger/Benedict XVI
Authors: Machidon Octavian M.
Published: July 2024

Artificial intelligence (AI) entered all aspects of human life and became a ubiquitous presence we interact with daily, influencing or even determining, among other things, our decisions, social interactions, and the digital content we follow. Add to this the recent breathtaking advances such as generative AI models and the hype heralding the imminence of Artificial General Intelligence, and we are facing one of the most significant challenges in history for our society and understanding of what it means to be human. In this context, this work explores the anthropological implications of AI by drawing on the theology of Joseph Ratzinger/Pope Benedict XVI a prominent figure who, through his writings and actions, has contributed significantly to the dialogue between theology, philosophy, and the natural sciences. This article continues this dialogue and examines how AI challenges the creative potential of human beings and how this potential risks losing meaning and direction in the absence of God. After analyzing the relationship between the human and the artificial, the article looks at the performative-informative paradigm shift driven by AI in today’s digital society and the challenges of living in a machine-readable world that aims to reduce people to numbers. Finally, the article concludes by discussing how the way we relate to AI affects our relationship with God and each other.
Review of Emily Dumler-Winckler, Modern Virtue: Mary Wollstonecraft and a Tradition of Dissent
Authors: Moon Catherine
Published: July 2024

Review of Emily Dumler-Winckler, Modern Virtue: Mary Wollstonecraft and a Tradition of Dissent
An Analysis on Intelligent Systems for Remote Sensing Satellite Image Processing and Classification
Authors: Jakkani Anil Kumar
Published: July 2024

The integration of intelligent systems to the remote sensing satellite image processing and classification has greatly changed. This paper offers a synthesis of the subject, with respect to intelligent systems’ contribution to the improvement of these processes’ accuracy and speed. Accuracy of different methods such as machine learning algorithms, artificial neural networks, and deep learning techniques in the extraction of information from satellite image comprehension is considered a research interest. The presented problems and open issues are data complexity, feature extraction, and classification accuracy over the data, along with new methods in enhancing the intelligent systems to minimize those problems. It expands knowledge of intelligent systems’ contribution to remote sensing applications by outlining how these advancements have influenced the progression of image analysis for the given research goals. This research work gives the summary of our research by outlining the techniques used in the study, the problems solved, and the general outcomes of incorporating intelligent systems in the area of remote sensing and satellite image analysis. Accuracy analysis results for the SVM based methodology with spatial-spectral features include 90% of accuracy, 88% of the precision, and 90% of the F1-score, which in turn makes it easy to make sound decisions when using satellite imagery in different fields like agriculture, urban development, and environment.
Spreken is zilver, zwijgen is goud
Authors: Schwartz Dennis , Tas Tijn
Published: July 2024

Spreken is zilver, zwijgen is goud. De vrijheid van meningsuiting van sporters met een arbeidsovereenkomst

Sporters zijn tegenwoordig rolmodellen met een groot bereik onder hun volgers. Naast de prestatiedrang van sporters hebben zij soms ook de behoefte om hun persoonlijke mening omtrent bepaalde maatschappelijke ontwikkelingen te uiten, zoals omtrent racisme en discriminatie of LHBTQI+-rechten. Dat wordt hen niet altijd in dank afgenomen. In dit artikel onderzoeken de auteurs hoever de vrijheid van meningsuiting specifiek in dit soort gevallen gaat.
Is een tuchtsanctie zonder territoriale beperking wenselijk?
Authors: Vanden Berghe Lore
Published: July 2024

Is een tuchtsanctie zonder territoriale beperking wenselijk? Het dossier Marc Overmars

FIFA beschikt conform artikel 70 van haar disciplinaire code over de bevoegdheid om een tuchtsanctie, opgelegd door een nationaal tuchtorgaan, wereldwijd uit te breiden, dit enkel indien er sprake is van een ‘serieuze overtreding’. Categorieën zoals matchfixing, seksuele intimidatie en doping vallen de facto onder de definitie van een ‘serieuze overtreding’. De mogelijkheid om een case-by-case beoordeling te doen, dringt zich in voormelde situaties dan ook op. Er dient een afweging te worden gemaakt of een wereldwijde uitbreiding van een sanctie al dan niet gewenst is teneinde onredelijke en disproportionele sancties te vermijden. Op heden voorziet de reglementering van FIFA echter onvoldoende in een dergelijke mogelijkheid tot case-by-case beoordeling.
De arbeidsovereenkomst van de sporter en schijnzelfstandigheid
Authors: Wilms Tim
Published: July 2024

De arbeidsovereenkomst van de sporter en schijnzelfstandigheid

Dit artikel bespreekt de rechtsverhouding tussen de professionele sporter in Nederland en zijn club en gaat in op actuele rechtspraak rondom de kwalificatie van deze rechtsverhouding en schijnzelfstandigheid. De auteur komt tot de conclusie dat betaalde professionele sporters in teamverband in de praktijk veelal zullen voldoen aan de elementen van de arbeidsovereenkomst en dus als werknemer dienen te worden beschouwd. Besproken wordt verder dat in een aantal gevallen een on(der)betaalde sporter aanspraak kan maken op dezelfde arbeidsrechtelijke bescherming als een betaalde sporter met een arbeidsovereenkomst. De auteur sluit af met het bespreken van de vraag of het voorgaande met zich meebrengt dat de bijzondere rechtsverhouding van de professionele sporter een uitzondering rechtvaardigt op (een gedeelte van) het Nederlandse arbeidsrecht.
Game changers? EU-mededingingsrecht en sport na de uitspraken van het Hof van Justitie in ESL, ISU en Royal Antwerp
Authors: Van Rompuy Ben , Vermeersch An
Published: July 2024

Game changers? EU-mededingingsrecht en sport na de uitspraken van het Hof van Justitie in ESL, ISU en Royal Antwerp

In dit artikel gaan de auteurs dieper in op de betekenis van de recente rechtspraak in de zaken ESL, ISU en Royal Antwerp voor de toepassing van het Unierecht, en in het bijzonder het EU-mededingingsrecht, op sport. Zij beantwoorden in het bijzonder de vraag in welke mate de specificiteit van de sport daarbij nog een plaats heeft. In een eerste deel zullen we ingaan op de vraag welke ‘sportargumenten’ of specifieke kenmerken het Hof aanvaardt bij de toepassing van het EU-recht op sport. In een tweede deel gaan zij na op welke wijze deze ‘sportargumenten’ concreet kunnen meegenomen worden in de analyse van sportregels onder het EU-mededingingsrecht en welke bewijsvoering hiermee gepaard gaat.
Association between blood pressure during vasopressor weaning and in-hospital survival: an analysis of vasopressor targets
Authors: Wang Zichen , Zhang Luming , Ma Wen , Wang Hao , Yin Haiyan , Lyu Jun
Published: July 2024

alizar la relación entre la presión arterial (PA) durante el destete de fármacos vasopresores y la mortalidad intrahospitalaria en pacientes ingresados en una unidad de cuidados intensivos (UCI). Método. Estudio de cohorte observacional, retrospectivo y unicéntrico. Incluyó pacientes del registro MIMIC-IV. La variable de resultado fue la mortalidad intrahospitalaria. Se utilizaron splines cúbicos restringidos (SCR) para estudiar la relación entre la PA durante el destete de los vasopresores [sistólica (DPAS), diastólica (DPAD), media (DPAM)] y la mortalidad. Los pacientes se clasificaron en diferentes subgrupos según sus cifras de DPAS, DPAD y DPAM. Se realizó un análisis de sensibilidad mediante regresión de Cox. Resultados. Se analizaron 8.294 pacientes. El SCR mostró que DPAS, DPAD y DPAM tenían una relación no lineal, en forma de “U”, con la mortalidad intrahospitalaria. Basándose en los puntos de intersección de los valores de referencia, los pacientes se clasificaron en los siguientes grupos: DPAS < 110, 110-150 y > 150 mmHg; DPAD < 60, 60-85 y > 85 mmHg; y DPAM < 75, 75-110 y > 110 mmHg. En comparación con el grupo de PA más baja, de DPAS entre 110-150 mmHg tenía una hazard ratio (HR) de 0,59 (IC 95% 0,52-0,66), DPAD entre 60-85 mmHg una HR de 0,62 (IC 95% 0,55-0,70) y DPAM entre 75-110 mmHg una HR de 0,64 (IC 95% 0,57-0,72). El análisis de subgrupos diagnósticos mostró que la PA durante el destete interactuaba con la enfermedad vascular cerebral y con la enfermedad pulmonar crónica. Conclusiones. Valores altos de PA durante el destete de los fármacos vasopresores se asocian a una mayor supervivencia intrahospitalaria en pacientes ingresados en una UCI. Los valores óptimos son: DPAS 110-150 mmHg, DPAD 60-85 mmHg y DPAM 75-110 mmHg. La PA óptima puede ser diferente en función del diagnóstico del paciente.
Comparative analysis of telemetry information transmission systems
Authors: Volovodova V. V.
Published: July 2024

The article provides an overview and analytical comparison of the main data transmission technologies for telemetry purposes. The existing CSD/GSM, GPRS/GSM technologies, as well as LoRaWAN, ZWave, BLE, Wi-Fi and NB-IoT technologies are considered, as well as their applicability in various fields.
Indoor tracking systems
Authors: Kozhanova V. N.
Published: July 2024

The main indoor tracking systems, the technologies on the basis of which these systems are implemented, and their advantages and disadvantages are discussed in the article.
Comparative analysis of traffic emulation systems for multiservice networks
Authors: Ostanin V. S.
Published: July 2024

In this research paper the existing systems of traffic emulation in multiservice networks, including Iperf3, Colasoft Capsa Free and Packet Sender, are thoroughly analyzed. The study identifies the main advantages and disadvantages of each tool. Special attention is given to the development of a customized traffic emulator in the Python programming language. This approach includes the use of a variety of libraries, which contributes to a significant increase in flexibility and efficiency of testing in multi-disciplinary network scenarios.
Methods of pulse sensing of guiding media of optical telecommunication systems
Authors: Talanov D. A.
Published: July 2024

The article presents methods for improving the metrological characteristics of Brillouin reflectometers. Methods based on the Rayleigh backscattering principle and methods based on the MandelstamBrillouin scattering principle. Schemes of optical reflectometers (BOTDA and BOTDR), their parameters and methods of application.
Neuroscience of language acquisition: Understanding how the brain learns English as a second language
Authors: Atyakshin R. A.
Published: July 2024

The article explores the neuroscience of language acquisition and its significance for understanding how the brain learns English as a second language, how the brain processes and recognizes speech intonation, understands complex structures and meanings of sentences, and perceives oral and written speech.
The use of GPT chat for teaching English to students of SibSUTIS
Authors: Chepurnoy M. V.
Published: July 2024

Currently, artificial intelligence occupies a special niche in the educational process. The use of modern technologies contributes to the automation of processes, improvement of the quality of educational activities, their acceleration and optimization. The introduction of innovations in the educational process is observed both from the students and the teaching staff. One of the most significant innovations is ChatGPT - a chatbot created by OpenAI. This article will analyze the importance of using GPT chat for teaching English to students of SibSUTIS.
The influence of the English language on self-awareness and socio-cultural identity
Authors: Yurlova S. Ya.
Published: July 2024

The article examines the influence of the English language on the identity of its native speakers and their self-awareness. The author emphasizes the need to consider the relationship between language and culture as well as the study of the mechanisms by which the English language can influence on the formation of national and cultural identity
Microinfusão de metotrexato nas lesões de couro cabeludo podem auxiliar no alívio da alopécia frontal fibrosante?
Authors: E Souza Tatiane Elen , Skare Thelma Larocca , Czeczko Nicolau Gregori , Torres Orlando Jorge Martins , Manso Jose Eduardo Ferreira
Published: July 2024

Introdução: A alopecia frontal fibrosante é forma de alopecia cicatricial linfocítica primária, com perda de pelos na linha de implantação frontal do couro cabeludo e outras áreas corporais. Consiste em doença sistêmica e multifatorial, com influência genética, hormonal, ambiental, racial e, por vezes, de gênero. A técnica de microinfusão de micropartículas através da pele (MMP®) é minimamente invasiva e pouco dolorosa ou indolor.
Objetivo: Revisar a eficácia dessa técnica com metotrexato na alopecia frontal fibrosante.
Método: A revisão da literatura foi feita colhendo informações publicadas em plataformas virtuais buscada por descritores relacionados ao tema, identificados por meio do DeCS, como: “alopecia frontal fibrosante, líquen plano pilar, calvície, couro cabeludo, e metotrexato” com busca AND ou OR, considerando o título e/ou resumo. Após, considerando-se somente os que tinham maior relação ao tema, foi realizada a leitura da íntegra dos textos.
Resultados: Foram incluídos XX artigos.
Conclusão: A aplicação de MTX por MMP® mostrou redução significativa dos sintomas associados à alopecia frontal fibrosante, e melhora nas medidas frontoglabelares e frontotemporais. A técnica mostrou-se segura e foi bem tolerada.
Assessing The Accuracy of Childrens’ Literature Translation Using the Angelelli Rubric
Authors: Anisah Lina , Lustyantie Ninuk , Murtadho Fathiaty
Published: July 2024

The primary objective of this study is to communicate the precision of the translation of the children's story presented in the Let's Read mobile application. Utilizing Angelelli's assessment rubric, the focus is on evaluating the accuracy of the translation of children's literature. Through a thorough analysis of the translation of the Indonesian story, the research unveils both strengths and weaknesses in the translation process, shedding light on the challenges encountered in adapting the text for young Indonesian readers. The research methodology involved is qualitative with content analysis approach, selecting the story of English and its Indonesian translation  from the Let's Read mobile application. The translations were then assessed using Angelelli's scoring rubric. The findings contribute significantly to the ongoing discourse on the assessment of translation quality, particularly within the realm of children's literature. These results provide valuable insights for refining the translation process and enriching the reading experience for young users of the Let's Read mobile app. Additionally, the research underscores the importance of accurately conveying the meaning of source texts to preserve the educational and entertainment value of translated children's literature. It emphasizes the necessity for cultural sensitivity and adaptation to create captivating and relevant reading experiences for children from diverse backgrounds
Multicultural Education Through Material on the Basic Formulation of the Republic of Indonesia as an Effort to Cultivate an Attitude of Tolerance
Authors: Saputri Oktavia Wahyuni , Utami Indah Puji , Sayono Joko
Published: July 2024

Indonesia is a country that has different cultures, ethnicities, customs, religions, languages, and customs. The existence of multiculturalism in Indonesia is a challenge for the Indonesian people to maintain Indonesian unity. Often conflicts that contain elements of SARA occur in Indonesia, if this continues to occur it will divide Indonesian unity. To reduce SARA conflicts, you can start from an attitude of tolerance which can be learned through material on the basic formulation of the Indonesian state. In this research, the literature review method was used. The research results show that an attitude of tolerance can be instilled through multicultural education in schools through the values in the basic formulation of the Indonesian state.