bluuebunny/crossref_metadata_2025 huggingface dataset:
COLOSSAL LOSS OF FISH BIODIVERSITY DURING FRY COLLECTION IN THE RUPSHA RIVER
Authors: Khatun Tanzera , Rahman Sheikh Mustafizur , Khatun Mst. Muslima
Published: December 2023

A key challenge for sustainable fish production is the loss of fish biodiversity caused by the indiscriminate capture of non-target creatures, particularly in Bangladesh's inland and coastal regions. In addition to serving as a crucial navigational channel in Bangladesh's coastal regions, the Rupsha River in Khulna City is also home to over 15000 fishermen who harvest fish and shrimp fry. Therefore, a study was carried out to assess the existing fry collection scenarios, fish bycatch and its impact on the biodiversity to enhance the production and biodiversity of the Rupsha River. Between May 2022 and July 2023, information was gathered from stakeholders through a combination of personal observation, focus groups, and cross-check interviews. In this study, Macrobrachium rosenbergii and Penaeus monodon fry were collected from wild sources by fixed blue net (FBN) and drag net (DN) as target species. For FBN compared to DN, efficiency and survival rate were both higher. FBN and DN caught 20 different bycatch species, including one highly endangered (Channa striata), four vulnerable species, and four commercial species. During the study period, the mortality rates of bycatch was 50%. The assessed value of the commercial adult species lost during fry collection stands at 1,245 BDT (Bangladesh Taka) per person per day, whereas the earnings of the fry collectors’ amount to 80 BDT per day. Hence, it is imperative to rigorously enforce a ban on larvae fishing through community participation and integrated coastal zone management to preserve aquatic biodiversity and protect the livelihoods of the coastal population.
Studies on the TEG with changes in temperature difference and material properties
Authors: Alluri Pavani Lakshmi , Alli Daisy Rani , Reddy DV Rama Koti
Published: December 2023

The thermoelectric generators are solid-state devices that produce electricity. They are designed to harness unused energy, or “waste heat”. These devices were primarily utilized in military and space projects due to their reliability as a self-contained power source, requiring minimal maintenance. Additionally, they are environmentally sustainable and renewable sources of energy, emitting no air or noise pollution.  According to research, Thermoelectric Generators (TEGs) have a relatively low efficiency rate of less than 5%. However, they hold the potential to effectively harness low-temperature waste heat, making them a promising energy source for the purpose of charging battery cells or super capacitors utilized in autonomous sensors. This study analyses the feasibility of generating electricity through segmented TEGs operating at temperatures below 296 K. Thermoelectric materials were studied to improve the conversion efficiency of the TEG. Furthermore, an investigation was conducted on the configuration of the thermoelectric generator. The COMSOL Metaphysics software is used to design and stimulate the segmented TEG model. This model is initially derived from an existing generator and is known for its accurate outcomes. The study revealed that using an alloy consisting of 75% Bi2Te3, and 25% as a substitute for the thermoelectric material PbSe0.5Te0.5, which led to a significant increase in conversion efficiency and output voltage. A segmented TEG model exhibited higher conversion efficiency. The model is subsequently refined by incorporating various modifications aimed at improving its conversion efficiency.
Del Diseño PostIndustrial al Metadiseño
Authors: Romero Ricardo
Published: December 2023

Este documento presenta la idea del metadiseño; el cual se propone no solo como una nueva metodología de diseño, sino como un desarrollo cultural que explora un nuevo espacio del diseño en la preocupación por expandir el proceso creativo emergente en la reinvención del mundo en estos días de cambio. El metadiseño representa un cambio cultural del diseño como “planificador”, superando de esta manera al diseño como “manufactura”, promoviendo prácticas colaborativas y transformadoras de diseño, que apoya nuevos modos de interacción humana y sostiene una expansión del proceso creativo. El metadiseño se está desarrollando hacia nuevas formas de entender y planificar con el objetivo de producir sistemas de interacción más abiertos y en evolución. Este, puede ser visto no sólo como un enfoque de diseño que informa una metodología de diseño específica para el desarrollo de medios y entornos interactivos, sino también como una forma de estrategia cultural que plantea e integra diferentes dominios en lugar de un nuevo modelo de diseño; el metadiseño representa un modo constructivo del diseñar y una mejora del proceso creativo en la convergencia del post-industrialismo y la ciencia.
Las matemáticas el lado divertido y práctico de los números
Authors: De La Torre Ramirez Paula Andrea , Marceles Ibañez Roque Jacinto , Morelo Dominguez Valentina
Published: December 2023

El Taller de Estudio de Diseño presentó la iniciativa de Uninorte Social para impactar positivamente en los municipios del Atlántico, enfocándose en la educación de estudiantes de tercer grado en Santa Lucía y Manatí, gravemente afectados por la pandemia. La modalidad virtual ha llevado a adaptaciones en las estrategias de enseñanza, con envíos de guías de estudio semanalmente. La falta de acceso a internet genera vacíos en el aprendizaje de los estudiantes al carecer del necesario acompañamiento pedagógico para resolver dudas, desafío que Uninorte Social busca abordar en pro de la educación en estas comunidades.
Kit de siembra
Authors: Gaitán Porras Paula Gabriela , Gómez Contreras Albert Felipe
Published: December 2023

El diseño de la herramienta pedagógica, siguiendo la metodología de Ideo Toolkit, consideró condiciones climáticas, resistencia y funcionalidad. El proceso incluyó la recolección de datos mediante observación y entrevistas para entender las dinámicas institucionales. El segundo paso implicó el desarrollo de soluciones mediante lluvia de ideas y retroalimentación de la comunidad educativa. Finalmente, se entregó el kit de siembra, diseñado para experiencias educativas llenas de asombro y aprendizaje. El material resistente, como tierra, agua, abonos y semillas, promueve la exploración sensorial, garantizando durabilidad y adaptabilidad a diversas condiciones climáticas en territorios nacionales.
Tras la cortina
Authors: Rey Zapata Daniela
Published: December 2023

En los años ochenta, la violencia y el narcoterrorismo marcaron a Colombia, especialmente a Medellín. En respuesta, surgieron estéticas distintivas, como la voluptuosa promovida por narcotraficantes. Las mujeres, con limitadas opciones educativas, encontraron expresión en el diseño de prendas, generando estéticas propias. El proyecto "Tras la cortina" recopila testimonios de mujeres de diferentes estratos socioeconómicos en Medellín, contrastando sus experiencias durante la violencia. La propuesta incluye una exposición virtual en una plataforma interactiva que permite a los usuarios compartir investigaciones similares. También destaca una prenda interactiva que fusiona las estéticas de las mujeres costureras y sus creaciones, ilustrando la diversidad social y cultural de la moda en esa época. La influencia del narcotráfico permitió la mezcla de estilos latinoamericanos con la alta cultura extranjera, evidenciando la recursividad y esfuerzo de las clases populares al reinterpretar las tendencias de las clases altas.
Manos por Colombia Espejos del alma
Authors: Jimenez Frias Maria Camila , Mendoza Gordillo Jorge David , Rincón Angel Laura Juliana , Vieira Mejía Mariana
Published: December 2023

Manos Por Colombia, iniciativa de turismo cultural, propone experiencias significativas y socialmente responsables. La plataforma itinerante busca revitalizar regiones mediante talleres de diseño y oficios artesanales, fomentando alianzas y autenticidad. El proyecto piloto, "Espejos Del Alma," enfocado en Providencia, posibilita la co-creación de productos tangibles para la reconstrucción tras el huracán Iota. Aborda la pérdida de valor hacia saberes ancestrales y propone estrategias de upcycling y una aplicación para conectar productores y turistas. La propuesta incluye intercambios entre sabedores de distintas regiones y la participación de turistas como parte del tejido cultural y económico. La experiencia inicia digitalmente en Bogotá y culmina presencialmente en Providencia, promoviendo el desarrollo sostenible a través del diseño y el turismo social y cultural.
BIDO
Authors: Velasquez Mariana
Published: December 2023

La pandemia ha impulsado el aumento de servicios de domicilio y compras en línea. La investigación se enfoca en comprender el proceso de domicilio en tiendas de barrio mediante observación participante. Se destaca la complejidad de la gestión de una tienda y las dificultades de los domiciliarios. La propuesta del proyecto, llamada "Bido", busca mejorar la logística de entregas para tiendas de barrio, liberando a los tenderos de preocupaciones logísticas y garantizando un sistema eficiente. La reflexión destaca la importancia de metodologías cualitativas, como la etnografía, para comprender rigurosamente la problemática y su contexto.
Notaries and the law in Venice: development of a discipline
Authors: Gasparini Silvia
Published: December 2023

The paper follows the development of the notary profession in Venice in the production of private deeds (instrumenta) and public acts (acta). In the Middle Ages, both activities were performed by the clergy. With the advent of the Commune, a Chancery was instituted to archive separately the acta, as well as the instrumenta. A lay Great Chancellor organised clerks who were members of the clergy, and they also wrote private deeds. As the requirements of the notarial activity became stricter, a policy of careful selection was implemented. The two fields of the notarial activity began to differentiate. In 1433, a papal bull forbade priests to work as clerks in secular institutions. It marked the beginning of a turnover in the Chancery staff, the new clerks being chosen among laymen. Close control was kept on Venetian citizenship as the main requisite to access Chancery posts. Similar criteria were applied to private notaries: after some successful tests, in 1514 a procedure for admission to the profession, and a College of Notaries, were finally instituted.
Alle radici della modernità contemporanea: declinazioni della sovranità e metamorfosi del soggetto nel Novecento europeo
Authors: Sciumè Alberto
Published: December 2023

Il contributo si propone di indagare il rapporto tra società civile e società politica tra Ottocento e Novecento, sino alla nascita della Repubblica e di verificare quanto l’incrinatura di esso influisca sulla stabilità dell’ordine costituzionale producendone la trasformazione. L’indagine viene svolta considerando il rilievo posseduto dalla relazione tra modello costituzionale e paradigma antropologico sottostante e cogliendone, altresì, i riflessi sulle diverse forme che la sovranità progressivamente assume nel tempo del periodo considerato. Il punto di partenza è individuato nella inversione di posizione tra diritto e politica operata dalla Rivoluzione francese, con la soggezione sistematica del primo alla seconda. Il punto di arrivo nella riconciliazione tra il primo e la seconda, operata nel Corso dei lavori della Costituente negli anni tra il 1946 ed il 1947. I paradigmi antropologici che si succedono nel tempo sono quello individualista, quello organicista e quello personalista, il quale ultimo rappresenta la base su cui viene costruita la Costituzione del 1948.
Libertà e tirannia in Italia a metà del Trecento. La Signoria dei Visconti e la Repubblica di Firenze nel dibattito sulla libertà tra Francesco Petrarca e Giovanni Boccaccio
Authors: Storti Claudia
Published: December 2023

L’esame di alcune norme dello statuto della repubblica fiorentina del 1355, recentemente pubblicati in volgare, consente di approfondire i motivi del contrasto tra Petrarca e Boccaccio sulle forme di governo e sulle condizioni che garantiscono la ‘salute’ dei popoli e la loro libertà. Sullo sfondo di inarrestabili guerre e conflitti interni e internazionali, la costruzione dei caratteri delle istituzioni della libera repubblica fiorentina e della tirannide dei Visconti progrediva nell’intreccio dei contributi della scienza giuridica, della legislazione, della cultura, e della propaganda politica.
Studying the Role of Quality of Governance, Renewable Energy and External Monetary Assistance and Their Repercussions on the Ecological Footprint in the Context of Djibouti
Authors: Aden Kadir
Published: December 2023

In accord with the aim of achieving global sustainable development, the current article provides empirical evidence on the role of quality of governance, renewable energy consumption and official development assistance (ODA) in providing a successful outcome on ecological footprints. According to the ARDL model, renewable energy decreases the ecological footprint, and among the variables selected to represent quality of governance, only controlling corruption mitigates the ecological footprint, whereas regulatory quality, rule of law and ODA increase the ecological footprint. This is likely, as the current Djiboutian environmental legislation fails to accommodate the ecological issue, and because other underdeveloped sectors absorb the cumulative ODA, thus leaving for small sums to be allocated to environmental activities. Furthermore, the finding of the impulse response and the variance decomposition project was that all the variables have a collective ad-hoc shock on the ecological footprint by restraining the level of the human imprint on ecology; however, it takes significant time to transpire.
Efficiency Analysis of Compression Software (WINRAR and 7-Zip) Across Diverse Data Types on Windows 11 and Ubuntu 23.10
Authors: Rakha Maulana  , Bahteramon Bintang Sanjaya Manurung  , Nathanael Berliano Novanka Putra  , Aqwam Rosadi Kardian
Published: December 2023

This paper presents a comprehensive analysis of the performance and efficiency of two widely used compression software, WINRAR and 7-Zip, across various data types. The study focuses on evaluating their effectiveness on different operating systems, specifically Windows 11 and Ubuntu 23.10. The analysis encompasses considerations such as compression ratios, resource utilization, and processing times. WINRAR and 7-Zip are examined in diverse scenarios, including the compression of text files (.txt), image files (.png), audio files (.flac), and video files (.mp4). The study reveals notable variations in compression outcomes influenced by intrinsic complexities of each file format. Moreover, the investigation extends beyond the initially studied operating systems, suggesting potential applications on other platforms like Kali Linux. The findings contribute insights into the nuanced performance of compression software across varied data types and operating environments, facilitating informed decision-making for users seeking optimal compression solutions.
Evolution of scientific knowledge about the legal status of the head of the investigative body in criminal proceedings
Authors: Садиокова У.В. , Ефремова Е.А.
Published: December 2023

Актуальность исследования обусловлена дискуссионными взглядами на содержание и значимость уголовно-процессуальных полномочий руководителя следственного органа в уголовном судопроизводстве. Цель работы заключалась в выявлении научных направлений исследования процессуального статуса руководителя следственного органа, прогнозировании развития научной мысли в соответствующей области знаний. Определены тенденции научных изысканий правового положения руководителя следственного органа в уголовном судопроизводстве, дана характеристика их основных результатов. Установлено, что, несмотря на качественную и количественную составляющую проведенных исследований правового положения руководителя следственного органа, сформированная современная система уголовно-процессуальных отношений между властными участниками уголовного судопроизводства требует дальнейшего осмысления и совершенствования.

The relevance of the study is due to the controversial views on the content and significance of the criminal procedural powers of the head of the investigative body in criminal proceedings. The purpose of the work was to identify scientific directions of research on the procedural status of the head of the investigative body, forecasting the development of scientific thought in the relevant field of knowledge. The tendencies of scientific research of the legal position of the head of the investigative body in criminal proceedings are determined, the characteristics of their main results are given. It is established that despite the qualitative and quantitative component of the conducted studies of the legal status of the head of the investigative body, the formed modern system of criminal procedural relations between the powerful participants in criminal proceedings requires further reflection and improvement.
Analysis and design research of digital electronic clocks
Authors: Feng Ziwei
Published: December 2023

A digital electronic clock stands as a pinnacle of modern timing technology, built on digital circuits that offer precise hour, minute, and second tracking and display capabilities. The evolution of integrated circuits, combined with the ubiquitous application of quartz crystal oscillators, has propelled the digital electronic clock into myriad sectors including science, transportation, and finance. These clocks, appreciated for their precision, clarity, stability, and other attributes, vastly differ from their mechanical predecessors. Absent of mechanical transmission devices, they promise longevity and exact timekeeping. Such digitization serves as the foundational technological support for crafting large machinery and precision tools. Delving into the intricacies of digital electronic clocks and broadening their utilization holds substantial real-world relevance. This discourse employs a top-down hierarchical circuit design approach, segmenting the comprehensive circuit into distinct modules. This method not only streamlines its configuration, rendering it user-friendly and legible, but also ensures that each segmented circuit operates as an autonomous entity. This modularity facilitates smoother simulations and circuit modifications, enhancing adaptability and efficiency.
The application of fractal and chaos theory in photo processing
Authors: Bian Hongyi
Published: December 2023

Nowadays, more and more people are looking for a faster and safer way of encryption. Fractal coding and chaos encryption fit those two points. This article discussed the usage of Fractal and Chaos Theory in photo processing. For example, Fractals and chaos theory are usually used in picture encrypting and picture processing to make the object in the target picture much more clearly. And currently, the method become advanced. The current method can provide great defense from hacking. Meanwhile, in terms of compression performance, it achieves a higher compression ratio than other solutions while meeting the reconstruction visual quality. In this article, the writer analyses the future of Fractal coding by talking about the advantages and disadvantages of this method which came from different articles. Furthermore, in this paper, the author discusses the definition of Fractal and the properties of Fractal. The Iterated Function System (IFS) is also a key point in photo processing.
Revolutionizing engine technology: The emergence and potential of novel engine materials
Authors: Wang Qikai
Published: December 2023

Concerns from both society and the government about the pollutants from automobile exhaust is becoming more and more noticeable in recent years. Compared with the engines mostly used currently, which are gasoline engines and diesel engines, the HCCI engine has ameliorated not only the problem of pollutant emissions but also efficiency to a large extent. This paper provides an in-depth analysis of Homogeneous Charge Compression Ignition (HCCI) engines. It first introduces the fundamental processes governing HCCI combustion and illustrates its working mechanism. While HCCI engines promise heightened efficiency, reduced emissions, and fuel versatility, they also present challenges such as combustion timing and related emissions. Commercial implementations by Nissan and Honda are discussed, shedding light on real-world applicability. Furthermore, the potential amalgamation of biodiesel with HCCI is explored, signaling a promising future for renewable fuels in advanced combustion engines. Despite the rise of hybrid vehicles, the unique benefits of HCCI position it as a significant player in future transportation. This paper emphasizes the necessity of ongoing research to overcome HCCIs challenges, ensuring it remains at the forefront of green automotive solutions.
Analysis of tunneling effect in different structures of one-dimensional barriers
Authors: Cheng Yu , Tang Mingqi , Zhang Yuning
Published: December 2023

Through the construction of mathematical model and the derivation of quantum mechanics formula, transmission coefficients of different one-dimensional barrier are explored. The difference of transmission coefficient and other properties under different materials was studied by controlling the change amount in the experiment. This study focuses on the analysis of one-dimensional barrier transmission coefficients of triangles and trapezoids, and ensures the accuracy of the experimental process through a large number of literature analysis. On this basis, the study of quantum tunneling effect should be easier, and it will be applied to more fields, which will play a crucial role for further research in the future. The special point of this experiment is to analyze and compare the transmission coefficient of different forms of one-dimensional barrier, compare the theoretical value with the actual value, and correct.The purpose of this experiment is to re-examine the original inherent conclusions and add new ones, so as to keep pace with the time.
Application of singular value decomposition in image compression
Authors: Wu Jiansong
Published: December 2023

The field of computer graphics and multimedia technologies places significant emphasis on the study path of image compression. The increasing prevalence of digital photographs has led to a significant growth in the size of image files, hence presenting storage and transmission issues. The Singular Value Decomposition (SVD) is a matrix decomposition method that possesses significant computational capacity and finds utility in various domains. In recent years, SVD has emerged as a prevalent technique in the domain of image processing, particularly in the context of image compression, yielding notable outcomes. This work primarily employs a literature review research methodology to explore the application of SVD. Specifically, SVD is applied to image compression using Matlab. The approach holds significance due to its ability to achieve efficient compression of digital images, hence enhancing transmission efficiency without compromising image quality.
Research on technological innovation and application of modern diesel engines
Authors: Zhang Hanting
Published: December 2023

Diesel engines have been instrumental in driving industrial advancement. This paper provides an in-depth analysis of the evolution and application of diesel engine technology across various sectors, set against the backdrop of the global energy crisis and swift technological progress. The research emphasizes technological breakthroughs like turbocharging and common rail fuel injection, which have been pivotal in augmenting combustion efficiency and reducing environmental impact. The potential of alternative fuels, such as biodiesel, synthetic diesel, and water-emulsified diesel, in curbing emissions and bolstering combustion efficiency is also critically assessed. The diverse applications of diesel engines, spanning marine vessels to aviation, are explored, highlighting the adaptability of these engines to evolving environmental norms and market needs. The paper further investigates strategies to enhance thermal efficiency and performance, spotlighting innovative combustion methods like HCCI and RCCI. The pivotal role of accurate fuel injection control and injector design in refining combustion quality is also accentuated. In summation, while the study underscores the persistent relevance of diesel engine technology amidst modern challenges, it also advocates for sustained innovation to harmonize performance with environmental concerns. The prospective trajectory for diesel engines might encompass an amalgamation of traditional and novel energy solutions to address shifting energy and emission standards.
Reliability analysis of single-story industrial buildings under wind load based on Monte Carlo simulation
Authors: Qiu Ruilin
Published: December 2023

Uncertain disasters such as typhoons can affect buildings. Single-storey industrial building is an important type of factory building. In this paper, the reliability of a single storey industrial building under wind load is studied by taking one typical factory in Hunan, China as an example. Firstly, finite element method is used to analyse the structure in the range of linear elasticity. Then, based on Monte Carlo simulation, the probability of failure of the structure under wind load is obtained. The results show that the probability of damage is relatively small, which is also in line with the fact that inland areas are not easily affected by typhoons. In order to obtain a deeper understanding of its reliability, the structural fragility curve considering the variability of steel strength is also studied. The results showed that the smaller the variability of the steel, the more beneficial it is for the reliability of the structure.
Forecast the house price index for California using different forecasting methods
Authors: Zhang Qian
Published: December 2023

Forecasting house price index is a useful and classic problem in real estate and investment fields. Predicting house price index in a region not only helps investors make sensible decisions but also aids the government in promulgating policy. This paper will use some simple forecasting models (mean model, nave model, drift model, linear model and ARIMA model) in forecast test part and by seeing the average value of their residuals and checking whether the distribution of the residuals approximates the normal distribution, select the one with the highest accuracy among them for the final prediction. Multiple linear regression is also used to find if there is relationship between predicted data and possible influencing factors (such as income, unemployment rate and population) and then use the factors that have strong correlation with predicted data to optimize our forecasts and provide a more accurate prediction for the house price index in California in the next few years.
Data analysis and prediction of Netflix stock
Authors: Li Haoyang
Published: December 2023

In the current financial landscape, precise analysis and forecasting of stock information hold significant importance. Every investor desires the capacity to evaluate the fluctuations of the stock market. The integration of data science and finance has become increasingly intertwined as advancements in technology reshape the investing landscape. The use of Python, a robust programming language for data manipulation, empowers investors to leverage data-driven insights that enhance their decision-making abilities. This article explores the integration of data science and finance, utilizing Python as a versatile platform for conducting data analysis. The study utilized three established analytical methodologies, namely linear regression, random forest regression, and Long short-term Memory (LSTM), to examine collected datasets pertaining to Netflix stocks. The primary objective of this study was to provide investors with a detailed analysis of the trends in Netflix stock prices and its potential to forecast daily returns for a period of 200 days. The objective of this study is to assess the efficacy of various analysis methodologies in order to enable investors to make informed investment decisions and effectively navigate the dynamic financial environment.
Obstacle avoidance approaches of autonomous mobile robots in harsh environment
Authors: Peng Yuxuan
Published: December 2023

Obstacle avoidance has been a hotspot in the field of robotics. Good performance of obstacle avoidance is key to the success of robots, especially in harsh environment where the external environmental factors pose challenges to the robots. Currently, numerous obstacle avoidance methods are being developed in an attempt to optimize the decision of the autonomous mobile robots in harsh environment. To enhance the reliability of obstacle avoidance methods, it is essential to have a clear picture of the advances and breakthroughs in this field and see which research area needs to be improved. This paper focuses on the current obstacle avoidance methods or path-planning algorithms in the underwater environment and the space environment, with description of their works and discussion of their advantages and weakness. Current problems of these methods include lack of reliable field tests, inadequate assumption of obstacles when designing the algorithm and limited capability in handling special cases that no possible path is feasible. This paper intends to provide researchers with a generalized review of obstacle avoidance methods in harsh environment and a proposal of the potential research directions in this field in the future. It is recommended that researchers to design more complex scenarios, improve the performance of robots to avoid being trapped in special situations, and consider the adaptability of robots in different environment.
Direct observation evidence for the origin of broad emission lines in quasars: Understanding emission via absorption
Authors: Wang Xilin
Published: December 2023

This year marks the 60^th anniversary of quasar discovery in 1963. The kinematics of gaseous clouds in quasars have been the subject of decades-long debate, focusing on two modelsrotation and blowing-wind. The rotation model, wherein gaseous clouds orbit black holes, is widely accepted by astronomers and frequently used to measure supermassive black hole (SMBH) masses in quasars. Another model is blowing-wind model, in which the gaseous clouds are outflows and in linear motion toward all directions. Our study creatively employs the quasar absorption line technique, utilizing atomic hydrogen Balmer absorption lines for identification, especially during eclipses of inner emitting clouds. The ambiguous presence of hydrogen Balmer absorption lines hints at massive eclipse clouds near central black holes, but detection is hindered by obscuration from dusty tori outside the broad emission line-producing region. We conduct an intensive survey among million quasars in Sloan Digital Sky Survey (SDSS) and acquire a small sample of quasars with hydrogen Balmer absorptions on their spectra. Three quasars exhibit significant variabilities over a decade, contradicting the blowing-wind model, which predicts constant motion along the line of sight with no absorption variabilities. The discovery servers as the direct observation evidence for the rotation model of broad emission lines in quasars. Rotation velocities of eclipse clouds, consistent with expected velocities of emission line clouds, confirm homology between absorption and emission clouds.
Correlation and related impact of migratory routes of seasonal birds in India and Japanese encephalitis (JE) epidemic regions in India
Authors: Ye Nailing
Published: December 2023

Japanese encephalitis (JE) which is also called epidemic encephalitis B, is able to cause severe inflammation in human body especially the central nervous system (CNS). Base on the fact that birds are able to transmit virus as same as pigs in the local regions in India, here will be more discussions and analyses about the correlation and related impact of migratory routes of seasonal birds in India and JE epidemic regions in India base on the case studies in the upcoming articles. Additionally, to figure out the solution of the problem of the continuously JE epidemic over the whole country. Throughout the process, a tight relation between wild birds and JEV was discovered from the previous researches, which also reflected the tendency of JE endemic in regions in India affected by the distribution of bird sanctuaries. Based on policies established for other epidemic prevention before in other countries, a few suggestions were listed to give a supportive reference for potential JE epidemics. This can either enhance the security of citizens living in the endemic area and raise the awareness to wildlife around them.
A discussion on the relationship between the five organs and proteinuria
Authors: Lin Yishu
Published: December 2023

Diabetic nephropathy is the most common kidney disease in recent years. In the early and middle stages of diabetic nephropathy, proteinuria is the main symptom, and it is speculated that proteinuria is caused by kidney essence deficiency. Proteinuria is widely recognized as an important indicator in the occurrence and development of various kidney diseases, and long-term proteinuria can cause serious harm to the body. Exploring the relationship between the five organs and proteinuria can help explore the mechanism of early proteinuria formation, propose effective predictive indicators, and facilitate timely clinical interventions to delay the occurrence and development of diabetic nephropathy. The etiology and pathogenesis of diabetic nephropathy are complex, and single treatment methods often fail to achieve ideal therapeutic effects. Traditional Chinese medicine emphasizes a holistic approach and individualized treatment, which can be beneficial in combination with modern Western medicine treatments. Research on the correlation between the five organs and proteinuria can further promote the integration of traditional Chinese and Western medicine in research and application, fully leveraging their advantages, and enhancing the efficacy of diabetic nephropathy treatment. The purpose of this article is to further strengthen the understanding of the relationship between the five organs and proteinuria, and provide theoretical basis and reference for the prevention and treatment of related conditions.
Assessing risk factors for diabetes in women: A logistic regression analysis
Authors: Ren Jinhong
Published: December 2023

The prevalence of diabetes has become an increasingly pressing health challenge, with women emerging as a particularly affected demographic. As global studies underscore, the incidence of diabetes has been growing at an alarming rate, leading to substantial health consequences and creating economic burdens for healthcare systems. To address this, the research turned to an in-depth analysis using logistic regression. The data, sourced from the National Institute of Diabetes and Digestive and Kidney Diseases, encompasses findings from 769 individuals updated as of 2022. This comprehensive dataset incorporates diverse variables, from Pregnancies and Glucose levels to more specific markers like the Diabetes Pedigree Function. Intriguingly, the analysis revealed a dominant age group between 20 and 40 in the dataset. In terms of correlations, variables such as Glucose, BMI, Age, and Pregnancies displayed strong positive associations with the presence of diabetes. These findings not only corroborate existing medical knowledge but also shed light on potential risk determinants previously underemphasized. However, its essential to approach these findings with caution, acknowledging the limitations inherent in the datasets scope. Despite these constraints, the significance of this research remains profound. By emphasizing both familiar and overlooked factors, this study paves the way for more targeted and effective early interventions, ultimately aiming to improve the prognosis and quality of life for diabetic patients.
Research progress of wearable temperature sensor based on electronic skin
Authors: Han Baoyang
Published: December 2023

The rapid development of science and technology has led to an increasing demand for new sensors, among which wearable temperature sensors based on electronic skin have played a particularly important role in artificial limbs and intelligent robots. This paper introduces the physical structure and working principle of wearable temperature sensor based on electronic skin. In this part, it focuses on two models of electrical signal changes caused by temperature changes. At the same time, the circuit structure and signal transmission and signal processing mode are also mentioned. This paper also introduces the characteristics of the material used in order to achieve direct contact with the human body. Some researchers work is also introduced, including accurate and linear reflection of temperature changes, fast response, durable use, and resistance to external interference, etc. The researchers research on the realization of the above functions is mentioned in the paper. Finally, the practical application and future prospect of this type of temperature sensor are introduced. In addition, some more mature technologies for the preparation of such wearable temperature sensors based on electronic skin are also described in this paper.
The interplay between Sleep, neuroplasticity, and health: Insights from a multi-level analysis
Authors: Huang Yuxuan
Published: December 2023

The World Health Organization estimates that 27% of people worldwide experience sleep disturbances, so concerns about sleep deprivation's broader consequences on society's health are voiced as the problem gets worse. The detrimental effects of sleep deprivation on attention, memory, and neuroplasticity have been the subject of several research. This study examines the complex interplay between sleep and neuroplasticity at both macro and micro levels, focusing on the mechanisms of sleep in aspects of attention and memory. Sleep deprivation can significantly impair the brain's capacity to regenerate energy and oxygen, which will manifest as cognitive processing that is slowed down, distractions, and a discernible decline in memory function. In addition, sleep deprivation raises the risk of neurodegenerative diseases like Alzheimer's, may interfere with mood stability, and intensify stress and anxiety. At the same time, the study also emphasizes how important environmental factors like exercise and diet are in affecting sleep patterns and neuroplasticity. These discoveries not only give sleep and neurological research a fresh angle and biological foundation, but they also offer up new options for therapeutic care. Additionally, it offers a theoretical framework based on neurobiology as well as helpful advice for creating public policy.
Wearable biosensors and their applications in healthcare
Authors: Zhou Keyi
Published: December 2023

The technologies used in medical care region could become more widely-discussed in the society. In the past, most biosensors were used in the manufacturing and engineering to increase the efficiency of production enable to meet the requirements of mass production, as the inventors expand the use of piezoelectric biosensors, their application in healthcare and virtual reality become important. Therefore, this paper collected and summarized the results of several previous research papers, explained the different working theories of many types of biosensors, and detailed discussed the specific biosensors used in these areas to look into this topic. The finding is that effectively use the piezoelectric materials (PZT) sensors could largely improve the medical level and the function of virtual reality. The wearable haptic feedback system can be used not only in these areas, but lots have not been explored. The medical level and other fields can all be improved even more in the future through the use of biosensors.
Development and application of implantable electrical neural electrodes
Authors: Li Ang
Published: December 2023

Implantable nerve electrodes are a crucial neuro-engineering device that can play a pivotal role in the treatment of various neurological disorders. As the fundamental unit of the nervous system, neurons possess the capability to generate electrical signals, which serve as the primary means of information transmission. Implantable neural electrodes have the capacity to intercept and record these electrical signals, thereby providing invaluable insights into understanding nervous system functionality. Furthermore, these electrodes enable precise modulation of neural activity through targeted delivery of pulses to neurons. Surgical implantation of these electrodes within the nervous system allows for simulation or inhibition of neural signals with therapeutic objectives in mind. This article comprehensively reviews the significance and application of implantable neural electrodes in neuro-engineering while highlighting their immense potential in enhancing patients quality of life across diverse neurological conditions With further research and technological improvements, we can expect implantable neural electrodes to play an even greater role in improving the quality of life of patients, treating neurological diseases, and advancing neuroscience.
Neuromodulator approaches to depression: The potential of transcranial electric stimulation
Authors: Goubar Myroslav
Published: December 2023

Depression, a widespread mental health disorder, presents significant challenges in diagnosis and treatment. Amidst the myriad treatments, non-invasive Transcranial Electric Stimulation (tES), encompassing Transcranial Alternating Current Stimulation (tACS) and Transcranial Direct Current Stimulation (tDCS), has emerged as a promising intervention for Major Depressive Disorder (MDD). This review delineates the mechanisms of these modalities, their distinctions, and their potential to modulate neural oscillations and influence cognitive functions. Studies showcased the efficacy of these techniques in ameliorating depressive symptoms, with EEG and fNIRS employed to gauge their neurological impact. Observations suggest the potential in modulating for specific brain rhythms to enhance memory functions in older adults and influence working memory processes. The dynamic interplay between tDCS and tACS in altering cortical activities and their interaction with neurotransmitters like GABA further underscores their potential. However, the need for extensive research, particularly double-blind randomized control trials, remains paramount to ascertain their safety and efficacy. This review provides a comprehensive insight into the prospective role of tES in the clinical landscape of MDD treatment.
Comparison of TB in India and Japan
Authors: Huang Yida
Published: December 2023

Tuberculosis bacterium (TB) is still a major world public problem, especially in Southeast Asia. Data in 2021 from WHO showed that 10,600,000 population infected with TB and more than 10% among them died. Tuberculosis, as a bacterial disease, is capable of infecting different organs of human body, especially lung, which cause many serious symptoms and even death. It can spread through the air or small liquid drops that produced by breath, speaking and so on. This review firstly describes the characteristic of TB infection in India and Japan, compares the past tuberculosis situation between the two countries, and summarizes some shortcomings of TB control in India including lack of nationwide surveys, lower vaccination coverage, and low-quality welfare system to the health of citizens. The purpose is to provide some possible solutions for India to reduce TB from learn the experience of prevention and control in Japan, such as increasing TB education and providing nutritional supplements to undernourished people.
Comparison of dimensionality reduction methods and evaluation of prediction effect based on cardiovascular disease data
Authors: Jing Shuyue
Published: December 2023

Cardiovascular diseases have become the leading cause of death in the world, and the mortality rate caused by them is still on the rise, which is a major challenge facing the world. In the study of cardiovascular diseases, there are many kinds and quantities of factors leading to the disease, so how to screen more effective factors for research and accurate prediction is an important problem. The aim of this study is to conduct an in-depth comparative analysis of multiple dimensionality reduction methods for cardiovascular disease data. This paper evaluates the results produced by various dimensionality reduction methods and models, and uses Accuracy Rate, Confusion Matrix and Area Under Curve (AUC) and other indicators to evaluate their prediction effects. The study finds that the decision tree model has the best performance and is superior to LDA linear discriminant analysis in terms of accuracy and data dimension. The principal component analysis method is relatively complex, although it can effectively reduce the data dimension, its accuracy in forecasting decreases, and this method is not conducive to horizontal and vertical comparison and the accumulation of statistical data.
Analysis of path planning of UAV in short-distance logistics application
Authors: Guo Shijia , Li Xuan , Liu Shuze
Published: December 2023

China's e-commerce sector has grown quickly in recent years, and the logistics sector has grown to be a significant sector of the national economy. Meanwhile, the business volume of the logistics industry has also increased continuously. The characteristics of intelligence and informatization of short-distance logistics UAVs, advantages such as high efficiency and not being constrained by road grids and related technical applications can greatly save manpower and time in logistics and transportation, so that the goods can be transported to the receiving place faster. Therefore, UAVs are an important part of the logistics field, among them, the path planning of UAVs is an important technical component to ensure the transportation of goods. This article first introduces the importance of UAV path planning technology in the field of short-distance logistics. Secondly, the path planning of UAVs in short-distance logistics applications is divided into two categories. The overview and analysis are carried out from the two aspects of traditional mathematical algorithm and bionic algorithm. Meanwhile, based on the available information, the benefits and drawbacks of the available methods are examined. Then, based on MATLAB, two classical methods are selected from the traditional mathematical algorithm and the bionic algorithm to carry out path planning simulation experiments in scenarios of different complexity, and the results are analyzed. Finally, the advantages and disadvantages of the above two algorithms are summarized and analyzed, and the prospect of UAV citation in short-distance logistics is prospected.