bluuebunny/crossref_metadata_2025 huggingface dataset:
Seed germination studies of Salvadora persica and Jatropha curcas
Authors: Dagar J. , Bhagwan Hari , Kumar Yogendra
Published: May 2024

In nature the seeds of Salvadora persica and Jatropha curcas possess diversity in their size. Based on their weight, the seeds were segregated into seven categories. In S. persica these ranged from 20 to 90 mg per seed while in J. curcas ranged from 100 to 800 mg per seed. When put to germination, there was no germination at all in seeds weighing up to 30 mg per seed in S. persica and up to 300 mg per seed in J. curcas. The germination was found to be 22, 29, 49, 64, 89 and 100% in S. persica in rest of the six categories while in J. curcas it was found to be 20, 30, 60, 85 and 100% in remaining five categories. The seedling development in terms of height and fresh biomass also increased with the increase in seed weight. When treated with salt solution adjusted to different pH levels (2 to 11), the seed germination was found highest in both species at pH 8.0. The germination was faster at pH from 6 to 8 when compared to other levels. The effect of quality of light on seed germination showed maximum germination in natural light in both the species followed by yellow, green, red and blue lights, respectively. The seed germination was initiated after one week when seeds were treated with saline water of electric conductivity of 2 and 4 dS m-1 in both the species while on higher salinity the germination started during second week. The seed germination was lower at higher salinity. After 4th week of germination the shoot length, root length, collar diameter, fresh and dry biomass of shoot and root were decreased with increase in the salinity of irrigation water.
Research on the effects of global warming on forest litter decomposition
Authors: Sun Bohan
Published: May 2024

Global warming is currently one of the foremost environmental challenges, exerting a profound and extensive influence on natural ecosystems. The alteration of forest litter, as a crucial source of organic matter within these ecosystems, plays a pivotal role in the context of global warming. Litter decomposition represents the process through which carbon and nutrients contained therein are transferred, serving as a crucial nexus for vegetation-litter-soil nutrient cycling and biogeochemistry, playing a significant role in soil nutrient composition. This paper aims to investigate the impact of global warming-induced changes in certain factors on the rate of forest litter decomposition, while evaluating their potential implications for ecosystem function, the carbon cycle and climate change. This study delves into the complex interplay between various environmental factors and their impact on forest litter decomposition. The five factors examined in this researchtemperature, precipitation, snow cover and associated freeze-thaw phenomena, soil composition, and disastersall play a crucial role in shaping the rate of decomposition. Based on the findings presented in this paper, it can be inferred that global warming will exert direct or indirect influences on forest litter decomposition from multiple perspectives.
Application of metal-based nanomaterials in lithium batteries
Authors: Tian Congyuan
Published: May 2024

Due to the current lithium-ion battery performance there are still many deficiencies, battery performance needs to be improved, so people through the synthesis of metal-based nanomaterials, and its application in lithium batteries to improve the electrochemical performance of batteries. This paper summarizes the application of some metal nanomaterials in lithium batteries, such as silver, platinum and gold. These metal nanomaterials can not only be used in the positive electrode as a supported catalyst to solve the problems of low charge and discharge overpotential, insufficient battery capacity, and unstable cycle performance, but also can be used in the anode. Among them, TiO2 nanoparticles used in the anode can enhance lithium ion diffusion and charge transfer, which can provide higher battery capacity, rate performance and cycle stability for lithium batteries. Lithium batteries are expected to become a new generation of all-round use of energy in the future, not only because it is significantly less than the traditional fuel cell pollution to the environment, lithium batteries also have a higher performance limit than fuel cells, so how to improve the capacity of the existing lithium batteries, cycle stability and other performance is the direction that people need to study.
Properties of stainless steel and its application in construction
Authors: Ding Chenhan
Published: May 2024

Stainless steel, an alloy of iron and chromium with the inclusion of other elements, has gained significant prominence in the construction industry due to its remarkable properties such as corrosion resistance, high strength, good durability, and aesthetic quality. In other words, its unique mechanical, chemical, and aesthetic properties make it a valuable material applied in the construction field. Through case studies, this paper provides a comprehensive analysis of the diverse applications of stainless steel in construction, encompassing its structural, architectural, and functional uses. According to the analysis, it can be concluded that stainless steel is well-performed in resisting corrosion and improving structural performance. Due to these properties, stainless steel is widely used in the architecture of different countries. However, there are still some challenges for it to overcome, including the high production costs, poor thermal conductivity, and large weight. Moreover, it is easy to rust after a long time exposure to chemicals such as chloride and sulfide. Therefore, it is necessary to further optimize stainless steel from various aspects.
Research on the comprehensive evaluation of light pollution
Authors: Zhao Yongchen
Published: May 2024

Light pollution refers to the inappropriate and excessive use of artificial light. The increasing extent and intensity of artificial light has impacted the biology and ecology of species significantly. Admittedly, the widespread use of light benefits people to a large extent and is positively associated with modernization, security, and wealth. But its catastrophic effects can never be ignored. To be specific, light pollution can arouse negative health impacts such as headaches, dizziness, increased anxiety, pressure, and fatigue. The paper wants to find applicable indicators regarding the risk levels of light pollution and establish criteria to judge the risk of light pollution in different areas. In the process, the research first measures the interconnection between the indicators, which are chosen to reflect the risk of light pollution, and then uses PCA to implement dimensionality reduction so as to simplify the model. After that, EWM and TOPSIS are applied to determine the weight of each indicator and the rating of the cities. Institutions or governments that are responsible for managing light pollution can then use the model to judge the risk level of different cities. The model can help to avoid overlooking or overemphasizing a city's light pollution risk level, providing a more accurate estimation. In this case, institutions and the government can take better and more effective measures to restrict light pollution.
Evaluate the potential of electrification to achieve urbanization and carbon neutrality
Authors: He Zhaohua
Published: May 2024

Electrification applications in transport and energy supply can significantly reduce carbon emissions. The impact of electrification on carbon emissions reduction varies across countries with different development profiles. In developed countries, with the increase of renewable resources usage in electricity production, the per capita CO2 emissions decrease. For example, Germany increased its share of electricity production from renewable sources from 6.2% to 44%, and its per capita CO2 emissions dropped from 11.2 t to 8.1t. While in developing countries, the per capita CO2 emissions are still increasing with the increase of electrification level. For example, India increased its degree of electrification from 58% to 99%, and its per capita CO2 emissions increased from 0.9 t to 1.9 t. This paper first used LCA data to compare the Greenhouse gas (GHG) emissions of electric vehicles and fuel vehicles and GHG emissions of electricity plants from different energy sources. Then, this paper used Linear regression to determine how close between electrification and climate change. This research aims to identify the potential of electrification to achieve urbanization and carbon neutrality, as there are few discussions regarding the combination of these three topics at present. This research can confirm the benefit of electrification in reducing carbon emissions, which can promote the broad application of electrification and its development.
Necessity and limitations of transportation electrification
Authors: Wang Dongyu
Published: May 2024

In recent times, there has been a significant surge in the prioritization of electrifying the transportation sector. The heightened focus on these factors might perhaps be attributed to the industrys ability to effectively tackle and mitigate environmental problems and handle energy security challenges. This research examines the fundamental variables that are propelling the shift towards electrification within the transportation industry, alongside the limitations and obstacles linked to the extensive implementation of this technological advancement. As the transportation electrification business continues to expand, several doubts, such as spontaneous combustion, have led many to question the appropriateness of its further development. Gaining a thorough comprehension of the electrification trend and its possible constraints via an analysis of technological, economic, and infrastructural aspects proves to be very advantageous. In addition, understanding the fundamental reasons for the limitations of transportation electrification can help develop new technologies to enhance its electrification level in the future.
The construction of an asymmetric hybrid supercapacitor with 2D materials MXene and perovskite
Authors: Yang Yile
Published: May 2024

The traditional energy storage techniques have several initial drawbacks limiting this application. Batteries suffer from a slow charge and discharge rate, and capacitors have low energy densities. The pseudocapacitor, a technology that storages energy through surface chemical reactions, is supposed to fill the energy and power density gap between the dielectric capacitor and battery. In order to verify the superiority of this technology, an asymmetric hybrid supercapacitor has been designed with 2D material MXene (Ti3C2Tx) as the negative electrode and high-entropy perovskite-type materials (La(CoCrFeMnNi)O3) as the positive electrode. XRD has verified the crystallography of both electrode materials, and the morphology has been further studied by SEM, TEM, and HAADF-STEM. The electrochemical performance has been tested by CV, GCD, and EIS. Besides, the influence of the different elements of the high-entropy perovskite has been studied. The asymmetric supercapacitor shows both high energy and power density, which may be used to extend energy-storage technology applications.
Application of nanotechnology in the battery of electric vehicles
Authors: Sun Baiwei
Published: May 2024

Electric vehicles (EVs) are becoming more popular as a substitute for gas-guzzling automobiles because of weather changes, population increase, and limited resources. Since lithium-ion batteries (LIBs) have several benefits including high energy density, high specific energy, zero memory effect, low self-discharge, and long lifespan, LIBs are widely employed in EVs. However, LIBs still have room for improvement, such as charging speed. The performance of electrodes in LIBs can be enhanced using nanotechnology, which involves nanocoating, nanostructure, and nanodoping. Nano techniques offer the benefits of large surface area, robustness, and high resistance. This article will introduce the pros and cons of some common active materials of the cathode (nickel-manganese-cobalt oxide, lithium nickel-cobalt-aluminum oxide, lithium manganese oxide and lithium-iron phosphate) and anode (graphite and SiO2), and discuss which nanotechnology is suitable for enhancement in the context of the cons for each active material. This research summarizes a few instances of electrode-active materials that actively employ nanotechnology.
Investigating the inhibition of short channel effects using different materials of gate insulator layers in FinFET
Authors: Yu Haotian
Published: May 2024

As the evolution of FinFET technology continues, traditional gate insulator materials, such as SiO2, face challenges in meeting the demands of modern applications, especially when it comes to gate leakage current control. Emerging as promising contenders to replace SiO2, materials with higher dielectric constants, notably HfO2 and Si3N4, are drawing significant attention in the semiconductor community. Leveraging the advanced capabilities of tools like Silvaco TCAD, an in-depth analysis was conducted to compare the performance and gate leakage current control abilities of SiO2, HfO2, and Si3N4, utilizing the Quantum examples 3D FinFET model. The findings not only highlight the potential of HfO2 and Si3N4 as worthy replacements for SiO2 but also accentuate the distinct advantages of SiO2, making it particularly well-suited as a substitute. This exploration goes beyond a mere comparison of materials. It dives deep into understanding their behaviors under various operational conditions, laying a foundation for potential breakthroughs and fostering the next wave of innovations in semiconductor technology.
Review of the relationship between green space exposure and mental health
Authors: Zhang Luoying
Published: May 2024

Mental health conditions are one of the main causes of the overall disease burden worldwide, and this raises the demand for accessible and cost-effective infrastructure that improves mental health. Growing up in urban environments is associated with a higher risk of developing psychiatric disorders. However, it has been proven that green space can provide mental health benefits and possibly lower the risk of psychiatric disorders, but the underlying mechanisms have not yet been discovered. This systematic review will examine the correlation between green space and mental health, the mechanism by which green space improves mental health, and some mediating factors that affect the results. The results show a positive correlation between exposure to green space and residents mental health, suggesting that green space does play a part in the promotion of residents well-being, thereby ensuring their mental health.
Detection of food harmful substances based on electrochemical biosensors
Authors: Luo Jiaqi
Published: May 2024

Food safety is related to everyone's health and life, so it is crucial to establish appropriate food systems and infrastructure, and develop efficient instruments for detecting food contaminants. Nowadays, many advanced detection technologies have emerged, playing a huge role in food safety testing, such as chromatographic analysis, spectral analysis, and electrochemical analysis. Among them, electrochemical biosensors have the advantages of superior selectivity, high sensitivity, convenient operation, low cost, and fast response, which are expected to develop into portable instruments for on-site rapid detection. Significant progress has been made in the electrochemical detection of food contaminants through the combination of nanotechnology and intelligent technology in recent years. This research summarizes the advancement of electrochemical biosensing technology for the detection of pesticides, heavy metals, illegal additives and mycotoxin by discussing the analytes, electrode materials, modification techniques, methods and detection limits for electrochemistry. Finally, the future development trends of the technology are discussed.
Analysis on technical challenges and prospects of electric aircraft
Authors: Chen Andrew Y.
Published: May 2024

Electric aviation has become a focal point in addressing environmental concerns within the aviation industry, while the implementation of all-electric aviation is still fraught with difficulties. This paper offers a comprehensive analysis of electric aviation, encompassing critical aspects like energy density, battery technology, electric motor design, safety considerations, and economic impacts. The paper discusses the pivotal role of energy density, which significantly influences the performance and range of electric aircraft. Further, battery technology advancements are emphasized, aiming to overcome existing limitations. The paper also scrutinizes electric motor design, highlighting innovations like high-temperature superconductors and innovative permanent magnet configurations. Safety concerns related to electric aviation components, such as electronic switches and power electronic converters, are also discussed. Additionally, the paper evaluates the economic aspects, shedding light on potential cost savings and financial challenges, ultimately serving as a valuable resource for researchers, policymakers, and industry stakeholders navigating the evolving landscape of electric aviation in the pursuit of sustainable air travel. The paper seeks to offer valuable perspectives on the present status of electric aviation.
Application of electronic information in environmental protection
Authors: Zhou Yufeng
Published: May 2024

In the 21st century, the growing recognition of the fragility of our planets ecosystems and the urgency of addressing environmental challenges have spurred an increased emphasis on environmental awareness and protection. The intricate interplay between human activities and the natural environment has underscored the need for innovative approaches to safeguarding our planet for current and future generations. In this context, the fusion of information technology with environmental protection has emerged as a dynamic force for positive change, reshaping the way we understand and address ecological issues. This article delves deeper into the multifaceted applications of information technology in the realm of environmental protection, exploring their significance, benefits, and potential for shaping a sustainable future. At the same time, 3S technology, Internet of Things technology and network technology play a very important role in pollutant discharge monitoring, data sharing and timely response, which is very suitable for environmental protection.
Nanotechnology applications in conventional lithium-ion batteries
Authors: Highland Helen
Published: May 2024

Since the successful development of the first battery, it has prompted the development of the electronics industry. From only able to power small electronics, to powering fully electrical vehicles, battery technologies have developed to a promising extent, and has become ever more integral across many fields. However, conventional methods currently face challenges in improving battery performance to meet higher demands. The urgency of the issue calls for researcher to create innovate, new approaches to tackle the problem. The recent rise in nanotechnology research has prompted unique and practical solutions to some of battery technologys most major problems: low power and energy density. This article offers a comprehensive compilation and overview of recent advancements in nanotechnology applied to lithium-ion batteries and how these breakthroughs have effectively addressed critical challenges in enhancing battery performance. Emphasises in areas of nanotech research covered in this article includes silicon nanotechnology, carbon nanotechnology, and other innovative approaches to battery development.
The advantages of using remote sensing technology to monitor forest fires
Authors: Fang Qinhe
Published: May 2024

Forest plays an irreplaceable role in the natural environment and human development. In recent years, forest fires have occurred frequently, causing damage to forests that is difficult to repair. Therefore, it is becoming more and more important to enhance the ability to prevent and monitor forest fires. This paper mainly uses the methods of searching literature and data, analyzing and researching literature to analyze the main causes of forest fires and the related impacts on the environment, personnel, and economy, analyzes and summarizes the advantages of remote sensing technology in the prevention and monitoring of forest fires in detail, and gives examples of remote sensing technology in the field of forest fire monitoring. At the same time, it mentions the matters that need attention in the application of remote sensing technology and puts forward suggestions on the prevention and monitoring of forest fires respectively. Compared with traditional forest fire monitoring methods, this paper finds that remote sensing technology has the advantages of saving manpower and material resources, precision, and high efficiency, and can be widely used in forest fire monitoring. This paper can provide data, literature, and other reference values for remote sensing researchers and forest fire prevention and monitoring workers.
Analysis of the effect of plum rain on Yangtze River Delta
Authors: Zhou Chenji
Published: May 2024

Every year, from June to July, there will be two or three weeks of continuous precipitation at Yangtze River Region. This precipitation is called Plum Rain. This paper is mainly about the Plum rain front, and its effect on the Yangtze River Delta. While the Yangtze River Delta is a large area, and considering that the data has to be easy to access, this paper specifics the topic to the most representable region-Shanghai. This paper is divided into 4 parts, the first part is the introduction, including the naming and formation of the plum rain. The second part is mainly about several types of anomalous plum rain and how they occurred. The third part analyzes the effects of the plum rain on the Yangtze River Delta region, and how to prevent these effects. The fourth part is conclusion. This paper believes that the prediction and alarming of anomalous plum rain should be focused on, and the prediction can let the government to advance layout, and decrease the economic loss when anomalous plum rain strikes.
Permanent magnet motor drive technology for mitigating greenhouse gas emissions
Authors: Song Yuzhou
Published: May 2024

Global climate change, resulting from the release of greenhouse gases, poses a severe threat to human existence. The detrimental consequences of this phenomenon encompass rising sea levels, modified climate zones, and intensified extreme weather events. To counteract greenhouse gas emissions, the development of permanent magnet motor drive technology has gained prominence, especially in the automotive industry. This comprehensive review examines the advantages, limitations, and potential applications of permanent magnet motor drives in mitigating the adverse effects of greenhouse gases. Furthermore, the review addresses the challenges associated with this technology and outlines future research and development directions in this field. The findings of this review provide valuable insights into the capacity of permanent magnet motor drives to combat climate change and pave the way for future advancements in this critical domain. By adopting and advancing this technology, we can strive towards a more sustainable future and alleviate the threats posed by global climate change.
Research on the sustainable materials in building construction
Authors: Yu Xintian
Published: May 2024

The construction industry has historically contributed to the waste of resources, energy use, and carbon emissions. Concrete and cement, the most common materials in the construction industry, are used in almost every building. However, the amount of carbon dioxide produced by conventional concrete and cement has an irreversible negative impact on the environment. To lessen the damaging environmental effects of these problems, many researchers have worked on sustainable materials. These problems have fueled research into sustainable building materials to reduce its negative environmental impacts. This study focuses on analysing the properties and applications of four sustainable building materials now used in the construction industry, namely polymer concrete, cement stabilised rammed earth, bamboo fibre geopolymer and waste steel slag. The researchers realised that for sustainable development, alternative materials and methods are to be found to reduce the dependence on traditional resources. Most of these four materials have sustainable materials added to traditional building materials and the emergence of these new materials provides more options for sustainable construction.
Analysis on different materials for enhancing axial compression capacity of reinforced concrete
Authors: Huang Haojie
Published: May 2024

Compressive strength is one of the most important properties of concrete. Nowadays, a great variety of studies are delivered to analyse the effects of different materials on the compression capacity of concrete. This paper mainly focuses on some of these materials including basalt fiber, succinic acid, rice husk, Robo sand, glass sand, cattle manure ash (CMA) and metakaolin. Based on the researches, most of them showed significant positive effect on concretes compressive strength. However, it is also noticed that most of the researches only investigated the effects of single materials. The effects of combination of innovative materials are still unclear. In addition, the cost of adding these innovative materials is still unknown, which may lead to the difficulty in implementation. Finally, this paper also aims to reveal the common features of materials that can enhance the compression capacity of concrete, which might be a signal implying the potential of untested materials to improve concretes compressive strength.
Modification of graphite anode for lithium ion battery
Authors: Xia Xiaohan
Published: May 2024

Traditional fossil energy is being replaced by low-carbon clean energy, and lithium batteries have obtained extensive attention and are widely used for their high energy density and power density. Graphite is the most commonly used anode material for its excellent electrochemical performance. Since the theoretical lithium storage capacity of graphite is only 372 mAh/g, the lithium battery with graphite anode has problems such as poor electrolyte compatibility and a high volume expansion rate. Many researchers have devoted themselves to the modification of graphite anode to improve the comprehensive performance of graphite anode materials. This paper focuses on three main modification methods of graphite anodes. The application research progress of graphite modification on the improvement of lithium batteries performance was summarized from the aspects of spheroidization treatment, surface coating, and element doping. Spheroidization treatment and surface coating can effectively improve the electrochemical properties of the material interface, but it is difficult to increase the energy density of the material interface. Doping modification can improve energy density, but it cannot be uniform and stable. The modification and improvement technology of graphite anode still needs to be developed.
Percutaneous Cementation for Improvement of Pain and Function for Osteolytic Pelvic Metastasis: A Systematic Review
Authors: Hirase Takashi , Rowan Colten , Jacob Thomas , Vemu Sree M. , Aflatooni Justin O. , Patel Shalin S. , Satcher Robert L. , Lin Patrick P. , Moon Bryan S. , Lewis Valerae O. , Marco Rex A. W. , Bird Justin E.
Published: May 2024

Introduction:

Pelvic metastasis is a common presentation among patients presenting with skeletal metastasis. Image-guided percutaneous cementation of these lesions is becoming increasingly popular for the treatment of these lesions. The objective of this study was to conduct a systematic review that investigates clinical outcomes after percutaneous cementation for pelvic metastasis.

Methods:

A systematic review was registered with International Prospective Register of Systematic Reviews and performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines using the PubMed, SCOPUS, and Ovid MEDLINE databases. All level I to IV clinical studies published in the English language investigating the clinical outcomes after percutaneous cementation for pelvic metastasis were included.

Results:

Fourteen studies with 579 patients (278 men, 301 women) and 631 metastatic pelvic lesions were included in the study. The mean follow-up range was 0.7 to 26.4 months. Percutaneous cementation alone was performed in 441 patients (76.2%). Supplemental ablative procedures were performed in 77 patients (13.3%), and supplemental internal fixation using cannulated screws was performed in 107 patients (18.5%). Twelve studies with 430 patients (74.2%) reported pain-related and/or functional outcome scores, of which all studies reported overall clinically notable improvement at short-term follow-up. All studies reported periprocedural complications. Local cement leakage was the most common complication (162/631 lesions, 25.7%) followed by transient local pain (25/579 patients, 4.3%). There were no reported cases of major complications. Seven patients (1.2%) underwent re-intervention for persistent symptoms.

Conclusions:

Percutaneous cementation may be an effective method for treating pain and function related to pelvic metastasis. The most common complication was cement leakage surrounding the lesion. The rates of major complications were low, and most complications appeared minor and transient. Additional prospective studies are needed to further assess the efficacy of this procedure.

Level of evidence:

IV, systematic review of level I to IV therapeutic studies.
Türkçe Anahtar Sözcük Çıkarımında LSTM ve BERT Tabanlı Modellerin Karşılaştırılması
Authors: Aydın Özlem , Kantarcı Hüsein
Published: May 2024

Günümüzde internet ortamında metne dayalı veri çok hızlı bir şekilde artış göstermektedir ve bu büyük veri içinden istenilen bilgiyi barındıran doğru içeriklere ulaşabilmek önemli bir ihtiyaçtır. İçeriklere ait anahtar sözcüklerin bilinmesi bu ihtiyacı karşılamada olumlu bir etki sağlayabilmektedir. Bu çalışmada, doğal dil işleme ve derin öğrenme modelleri ile Türkçe metinleri temsil eden anahtar sözcüklerin belirlenmesi amaçlanmıştır. Veri kümesi olarak Türkçe Etiketli Metin Derlemi ve Metin Özetleme-Anahtar Kelime Çıkarma Veri Kümesi birlikte kullanılmıştır. Derin öğrenme modeli olarak çalışmada iki farklı model ortaya konmuştur. İlk olarak Uzun Ömürlü Kısa Dönem Belleği ( LSTM) katmanlı bir Diziden Diziye (Seq2Seq) model tasarlanmıştır. Diğer model ise BERT (Transformatörler ile İki Yönlü Kodlayıcı Temsilleri) ile oluşturulmuş Seq2Seq bir modeldir. LSTM katmanlı Seq2seq modelin başarı değerlendirmesinde ROUGE-1 ölçütünde 0,38 F-1 değerine ulaşılmıştır. BERT tabanlı Seq2Seq modelde ROUGE-1 ölçütünde 0,399 F-1 değeri elde edilmiştir. Sonuç olarak dönüştürücü mimarisini temel alan BERT tabanlı Seq2Seq modelin, LSTM tabanlı Seq2seq modele görece daha başarılı olduğu gözlemlenmiştir.
Çağrı Merkezi Süreçlerinde Müşteri Deneyimi Ölçümü ve Yeni Nesil Yaklaşımlar
Authors: Gürsev Samet
Published: May 2024

Günümüzde müşteri hizmetleri süreçlerinin iyi yönetilmesi müşteri memnuniyeti ve marka algısı üzerinde büyük bir etki yaratmaktadır. Satış sonrası hizmet sürecinde hızlı geri dönüş alamayan müşterilerin firmayı bir daha tercih etmediği görülmektedir. Çağrı merkezleri tüm firmalar için satış sonrası süreçlerde büyük önem taşımaktadır. Müşteriler yaşadıkları sorunu, ürün taleplerini ve şikâyetlerini iletmek için firma ile çağrı merkezi yoluyla iletişime geçmek istemektedir. Firmalar müşterilerine pek çok farklı kanaldan ulaşarak deneyimlerini ayrıntılı biçimde analiz eder bu da firmalara rekabet avantajı sağlar. Bu süreçlerin iyi yönetilmemesi müşteri memnuniyetsizliğini doğurabileceği gibi işletmeler için daha önemli olan dolaylı maliyetlerin artmasına neden olur. Bu tür süreçlerin doğru yönetilmesi firmaların rekabet üstünlüğünü artıracağı gibi kalite anlayışının firma geneline yayılmasını da sağlayacaktır. Bu makale müşteri temas adımlarının ayrıntılı ve raporlanabilir bir şekilde takibi ve memnuniyet oranı değişim analizini araştırmıştır. Araştıra içerisinde müşteri deneyimi ölçümü için model önerisi sunulmuş ve teknolojik değişimler ayrıntılı olarak incelenmiştir. Yapay zekâ destekli önerilen modelin hizmet süreçlerinde eniyileme yaptığı ve müşteri deneyimi ölçümünde başarı sağladığı görülmüştür.
ADS-B Cihazlarına Yapılan Saldırıların Yapay Öğrenme ile Sınıflandırılması
Authors: Meral İbrahim , Bozkaya Elif
Published: May 2024

Havayolu taşımacılığı, başlangıcından itibaren hava araçlarının takibi, uçuşun emniyeti ve hava trafiğinin yönetimi için oldukça önemlidir. Hava taşıtlarının takibinde ise hava taşıtının konumumun bulunduğu alanı yöneten hava sahası işletmecileri, kurumları bulunmaktadır. Bu hava sahasını kontrol eden kurumlar hava taşıtlarını takip edebilmek için çeşitli sistemler kullanmaktadır. Bu sistemler bütününü hava trafik yönetim sistemleri oluşturmaktadır. Hava araçlarının algılanması için kullanılan birçok radar çeşidi bulunmaktadır. Bu radarların dışında hava taşıtlarının konumunu saptamak için Otomatik Bağımlı Gözetim Yayını (Automatic Dependent Surveillance-Broadcast (ADS-B)) cihazları kullanılmaktadır. ADS-B cihazları kurulumu ve maliyeti diğer radar sistemlerine göre daha ucuz olduğundan saldırganlar için daha çok tercih edilir. Bu çalışma kapsamında, ADS-B cihazlarının verisine yapılan saldırıların sınıflandırılması için hava taşıtı simülasyon araçlarından elde edilen bir yayın üzerinden olası saldırılar incelenmiştir. Elde edilen özgün bir veri kümesi üzerinden olası saldırıların saptanması amacıyla bir sistem modeli önerilmiştir. Amaca uygun olarak, veri kümesinde uygulanan ön işlemler sonrasında, farklı yapay öğrenme teknikleri ile değerlendirmeler yapılmıştır. Bu teknikler, Destek Vektör Makineleri (SVM), İkili Karar Ağacı ve Naive Bayes sınıflandırıcısı makine öğrenme tekniklerini içermektedir. Yapılan sınamalar, doğruluk, tutturma, duyarlılık ve F-ölçüsü ile değerlendirilmiştir.
Derin Öğrenme Yöntemleri Yardımıyla Görüntülerin Otomatik Konumlu Betimlenmesi ve Türkçe Alt Yazı Oluşturulması için Yeni Veri Kümesi ile bir Yöntem Önerisi
Authors: Erguvan Etgin Esin , Güvenoğlu Erdal
Published: May 2024

Günümüzde görüntü işlemenin yaygın olarak kullanılması ile birlikte görüntülerin otomatik olarak betimlenmesi ve alt yazı oluşturulması önemli görülmektedir. Bu çalışma ile Türkçe otomatik konumlu betimleme ve alt yazı oluşturulması amaçlanmıştır. Bu çalışmada, MS-COCO veri kümesinden 1500 görüntü seçilmiştir. Seçilen her bir görüntü için görüntüde saptanan bazı nesnelerin birbirlerine göre konumlarını içerecek şekilde alt yazılar oluşturulmuş ve yeni bir veri kümesi elde edilmiştir. Bu veri kümesi kullanılarak otomatik konumlu betimleme ve alt yazılama için bir yöntem önerilmiştir. Bu yöntem için elde edilen en iyi altı model otomatik alt yazı oluşturma için seçilmiştir. Deneysel sonuçlar önerilen yöntemin Türkçe otomatik konumlu betimleme ve alt yazı oluşturma için başarılı sonuçlar ortaya koyduğunu göstermektedir.
Fanet Ağlar için Düşük Gecikmeli Yönlendirme Protokolü
Authors: Ünsür Sümeyye , Çelebi Hasari
Published: May 2024

Kablosuz bir ağda iletişim gerçekleştirmeden önce kaynak-hedef arasında veri paketlerinin gönderileceği yolun belirlenmesi gerekmektedir. İnsansız Hava Araçlarının (İHA) oluşturduğu Uçan Tasarsız Ağ (FANET) ağlarda İHA’ların hareketliliği kaynak-hedef arası bağlantının kısa sürede kopmasına, mevcut veri yolunun geçerliliğinin son bulmasıyla sık sık yeni iletişim yolunun seçilmesine yol açmaktadır. Bu çalışmada FANET ağlar için Optimized Link State Routing Protocol (OLSR) protokolüne dayanan, RSSI değerlikli bağlantı kalitesine göre iletişim yol seçimi yapan yeni bir yönlendirme protokolü sunulmaktadır. Önerilen yönlendirme protokolünün başarımı OLSR ve Dynamic Source Routing (DSR) protokolleriyle paket teslim oranı, yönlendirme yükü ve uçtan uca gecikme kriterlerine bağlı olarak karşılaştırılmakta ve simülasyon sonuçları sunulmaktadır.
Evrişimsel Sinir Ağları ile Görüntülerde Gürültü Türünü Saptama
Authors: Güneş Aybüke , Çetin Kaya Yasemin
Published: May 2024

Gürültü, görüntü elde etme sırasında görüntüye eklenen istenmeyen sinyallerdir. Bir görüntüden gürültünün arındırılmasında kullanılan filtre yöntemlerinin başarılı olabilmesi için gürültü türünün doğru şekilde analiz edilmesi gerekmektedir. Bu çalışma ile görüntülerdeki gürültü türünün ve gürültüsüz görüntülerin doğru ve pratik şekilde saptanması hedeflenmiştir. Ayrıca, Evrişimli Sinir Ağları (ESA) ile gürültü tahmininde hangi eniyileme algoritmasının tercih edilebileceğine ışık tutulmaya çalışılmıştır. Görüntülerde tuz-biber, gauss ve benek gürültü türlerinin saptanması için VGG-16 mimarisi temel alınarak bir ESA modeli önerilmiştir. Önerilen model transfer öğrenme yöntemi ve ince ayar yaklaşımı kullanılarak eğitilmiş ve beş eniyileme algoritmasının model başarımı üzerindeki etkisi incelenmiştir. Gürültü türünün saptanması için en iyi doğruluk %98,75 ile RMSProp eniyileme algoritması kullanılarak elde edilmiştir. Başarım performansları, gürültü türünün saptanmasında önerilen ESA mimarisinin başarı ile kullanılabileceği gösterilmiştir.
TÁC ĐỘNG TỪ CHIẾN LƯỢC “CƯỜNG QUỐC BIỂN” CỦA TRUNG QUỐC ĐỐI VỚI CÁC QUỐC GIA ĐÔNG NAM Á (2012-2022)
Authors: Phúc Võ Lập , Mẫn Nguyễn Minh
Published: May 2024

Kể từ sau Đại hội XVIII của Đảng Cộng sản Trung Quốc năm 2012, chiến lược xây dựng Trung Quốc trở thành “cường quốc biển“ được chính thức đưa vào văn kiện. Điều này có ý nghĩa quan trọng trong việc hoạch định phương hướng phát triển quốc gia, theo đuổi “giấc mộng Trung Hoa”, “xây dựng toàn diện xã hội khá giả”. Từ quá trình nghiên cứu tài liệu, phân tích chính sách, động thái trên thực địa và phát ngôn của các nhà lãnh đạo Trung Quốc, bài báo nỗ lực làm rõ nội hàm của khái niệm “cường quốc biển” đặt trong tiến trình lịch sử phát triển tư duy biển của Trung Quốc từ thời kỳ cổ đại đến cận - hiện đại. Qua đó, bài báo phân tích sự tác động của quá trình triển khai chiến lược “cường quốc biển“ đối với các quốc gia Đông Nam Á. Kết quả phân tích cho thấy những tác động cụ thể ở một số phương diện: Cấu trúc quyền lực của khu vực, an ninh của khu vực và kinh tế của khu vực. Nội dung phân tích của bài báo có ý nghĩa tham khảo nhất định trong việc thấu hiểu và lý giải động cơ của Trung Quốc trong các hoạt động trỗi dậy mạnh mẽ trên biển hiện nay, từ đó, cung cấp cái nhìn tổng quan về những ảnh hưởng trong hệ thống quan hệ quốc tế tại khu vực Đông Nam Á.
AÇÃO EDUCATIVA DE COMBATE À VIOLÊNCIA CONTRA A PESSOA IDOSA
Authors: Tarasiuk Karen Leticia , Venancio Flora Alves , Thiry Laura Caroline Mendonça , Ortiz Priscila Renata Franco , Ribeiro Vanessa da Silva
Published: May 2024

O artigo é um relato de uma ação coletiva realizada como extensão da disciplina de Políticas Públicas Voltadas para o Idoso do Curso de Pós-Graduação latu senso de Ciências do Envelhecimento Humano da Universidade Estadual do Mato Grosso do Sul com o intuito de promover educação em saúde sobre o significado da data 15 de junho para conscientizar idosos cadastrados na Estratégia Saúde da Família. Objetivou-se esclarecer ao usuário idoso sobre os tipos de violência passíveis de ocorrer e qual conduta tomar frente a um caso desses. A ação foi realizada em uma Estratégia de Saúde da Família no município de Dourados, no dia 09 de junho de 2015, em três momentos: exibição ao público o conteúdo sobre tipologias de violências, utilização do conhecimento adquirido e já existente sobre o assunto para uma dinâmica de associação de imagens aos tipos de violência e por fim, produção de uma colcha de retalhos com manifestações gráficas sobre o assunto do ponto de vista de cada um. Observou-se na fala dos idosos a satisfação de participar de uma atividade interativa e o quão significativo foram as informações compartilhadas, visto que este assunto não é abordado com frequência, principalmente direcionada ao público idoso. Foi levantada a necessidade de sensibilizar da mesma forma o público de todas as idades sobre o combate à violência contra a pessoa idosa utilizando para isso os diversos espaços públicos e trabalhando simultaneamente a importância da figura do idoso na nossa sociedade.
EFL Students’ Perceptions of Peer Feedback in Writing Classes at a University in HCM City
Authors: Dang Thi Hong Nhung
Published: May 2024

The study aimed to identify EFL students’ perceptions of peer feedback in writing classes at a university in HCM city. 60 English - major students participated in the study. The researcher employed a quantitative method with survey questionnaire as the instrument. The questionnaire was designed the students to express their perceptions about the importance and the benefits of peer feedback in their writing as well as their problems when they give and receive peer feedback. The data collected was analyzed, using SPSS software version 26. The results indicated that participants had positive responses towards peer feedback in learning writing skills though they faced some difficulties in those activities.  Additionally, the learners responded that feedback from their peers about their writing performance provided them certain benefits, which contributed to improving their final writing products later.
PONEVA SKIRT IN THE TRADITIONAL WOMEN'S COSTUME OF RUSSIAN OLD-TIMERS OF WESTERN SIBERIA OF THE 17th–EARLY 20th CENTURIES
Authors: Шестакова Л.В.
Published: May 2024

Исследование традиционной женской одежды — поневы — происходит по археологическим и этнографическим материалам, которые относятся к периоду с X в. по начало XX в. По материалам исследователей Западной Сибири изучено распространение и бытование юбки-поневы в составе женского костюмного комплекса русских старожилов XVII–XX вв. Рассмотрена интеграция женского костюма русских старожилов в традиционный женский костюм остяков. Исследовано цветосочетание и значение цвета в традиционной одежде славян и обских угров. Территориальные границы охватывают районы проживания обских угров Тобольской губернии.

The study of the traditional women's clothing – poneva – is based on archaeological and ethnographic materials that relate to the period from the 10th century to the beginning of the 20th century. Based on the materials of researchers in Western Siberia, the distribution and existence of poneva skirts as a part of the women's costume complex of Russian old-timers of the 17th–20th centuries was studied. The integration of the female costume of Russian old-timers into the traditional female costume of Ostyaks is considered. The color combination and the meaning of color in the traditional clothing of the Slavs and the Ob Ugrians are investigated. The territorial boundaries cover the areas of residence of the Ob Ugrians of the Tobolsk province. The varieties of the ponies of the old-timers of the Russian North, the ways of wearing, the color scheme, the raw materials for weaving are described.
Dynamic Object Recognition in Video Streams
Authors:   Computer Science Engineering Chanidgarh University Mohali, India, Prasad, Abhay
Published: May 2024

Dynamic Object Recognition in Video Streams, essen- tial for advancements in video surveillance, autonomous systems, and robotics. Focusing on challenging scenarios like crowded- ness and rapid scene changes, the study introduces novel ob- ject detection and tracking techniques. Object segmentation in crowded scenes and trajectory analysis for simultaneous tracking in dense environments are explored, considering both immediate interactions and long-term movements. Adaptive object recognition algorithms, integrating event detection for rapid scene transitions, are investigated for their responsiveness. Additionally, the study incorporates advanced deep learning frameworks like Temporal Convolutional Networks (TCNs) and one-shot learning methods, enhancing the system’s adaptability to dynamic environments. Real- time processing efficiency is addressed through hardware accelera- tion and online learning strategies, contributing to the development of more efficient and adaptive dynamic object recognition systems for crowded and dynamic scenes. Index Terms—Computer Vision, Object recognition, Video, TCN, Robotics
CNC Hot Wire Foam Cutting Machine
Authors:   Matoshri Collage of Engineering & Research Center, Eklhare, Nashik, SHIRSAT ADITYA
Published: May 2024

This research addresses the growing demand for intricate and creative wedding decorations. It proposes a CNC hot wire foam cutter design specifically for cutting Styrofoam. The machine offers precise control and automation, overcoming limitations of manual cutting for complex designs. This paper details the design process, including hardware and software components, and presents the results of cutting tests performed on various Styrofoam thicknesses and feed rates. Keywords— Arduino Uno, CNC, Cutting Foam, Hotwire, G-code
NeuroScan : Brain Tumor Detection using Convolution Neural Network
Authors:   Department of Computing Technologies , SRM Institute of Science& Technology, Kumar Nikhil
Published: May 2024

This paper introduces "NeuroScan-Brain Tumor Detection Using CNN," a groundbreaking project integrating Convolutional Neural Networks (CNNs) for early brain tumor diagnosis via MRI image analysis. With deep learning's burgeoning influence, CNNs emerge as potent tools for healthcare challenges. Brain tumors, with their dire implications, necessitate swift and accurate diagnosis for effective intervention. Automated CNN-based analysis overcomes manual classification limitations, promising improved patient outcomes. Building on successful CNN-based detection, this project innovatively integrates geolocation services, pinpointing patients' locations post-detection to expedite access to nearby specialist care. By harmonizing AI with geolocation, NeuroScan streamlines specialized healthcare access, potentially curbing brain tumor mortality. Employing advanced CNN architectures, NeuroScan achieves efficient tumor detection, utilizing fewer features than traditional methods. This multidisciplinary strategy is a big step forward in using technology to improve patient care and healthcare delivery. Key Words: : Convolutional Neural Networks, Brain tumors, geolocation services, CNN architectures.
FOOD DELIVERY TIME PREDICTION USING CNN- LSTM
Authors:   Department of ISE JNN College of Engineering, K Jyothi
Published: May 2024

To tackle the challenge of predicting food delivery times, the study introduces a novel approach crucial for streamlining food delivery service operations. The proposed model combines CNN (Convolution Neural Network)s and (LSTM) Long Short-Term Memory networks, leveraging the unique strengths of each design. The CNN component analyzes delivery data trends on a daily and weekly basis, identifying geographical patterns such as rush hours and seasonal variations. Meanwhile, the LSTM component focuses on recognizing spatiotemporal relationships and retaining data over time to effectively model sequential data. Compared to standard procedure, the model's simultaneous incorporation of spatial and temporal information leads to more precise predictions. This enhanced accuracy holds proven strategy for food delivery services, enabling them to more accurately estimate delivery times, reduce delays, and ultimately improve overall customer satisfaction. Keywords: (LSTM) Long short term memory, Time prediction, CNN (Convolution Neural Networks).