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Sustainable Development: Impact of FDI and Corruption Mitigation Within BRI Nations 可持续发展：外国直接投资的影响与金砖国家内部的腐败缓和
IF 1.8 4区 工程技术
Fluctuation and Noise Letters Pub Date : 2024-05-08 DOI: 10.1142/s0219477524500457
Zameer Khalid, Li Jin Ye, Tufail Muhammad, Maaz Uddin, Khalid Zaman, Inam Ullah, Yazeed Yasin Ghadi, Abdullah Alwabli
{"title":"Sustainable Development: Impact of FDI and Corruption Mitigation Within BRI Nations","authors":"Zameer Khalid, Li Jin Ye, Tufail Muhammad, Maaz Uddin, Khalid Zaman, Inam Ullah, Yazeed Yasin Ghadi, Abdullah Alwabli","doi":"10.1142/s0219477524500457","DOIUrl":"https://doi.org/10.1142/s0219477524500457","url":null,"abstract":"<p>This study examines the effects of foreign direct investment (FDI), corruption mitigation, stock market, e-commerce and energy consumption on environmental quality in 54 countries along the Belt and Road Initiative (BRI) from 1996 to 2016. Using various econometric techniques, the study finds that anti-corruption efforts and financial development have positive impacts on environmental quality, while economic growth, FDI and urbanization have negative impacts. This study also reveals that FDI and corruption control have a significant interaction effect on CO<sub>2</sub> emissions. This study provides important insights and policy implications for achieving sustainable development in BRI countries.</p>","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":"23 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141153941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the Cross-Correlations between Tesla Stock Price, New Energy Vehicles and Oil Prices: A Multifractal and Causality Analysis 探索特斯拉股价、新能源汽车和石油价格之间的交叉相关性：多分形和因果关系分析
IF 1.8 4区 工程技术
Fluctuation and Noise Letters Pub Date : 2024-03-20 DOI: 10.1142/s021947752450024x
Xingyue Gong, Guo-Zhu Jia
{"title":"Exploring the Cross-Correlations between Tesla Stock Price, New Energy Vehicles and Oil Prices: A Multifractal and Causality Analysis","authors":"Xingyue Gong, Guo-Zhu Jia","doi":"10.1142/s021947752450024x","DOIUrl":"https://doi.org/10.1142/s021947752450024x","url":null,"abstract":"<p>The interaction between new energy vehicle (NEV) stock prices and the crude oil market is crucial for resource allocation and risk management. This study employs Multifractal detrended cross-correlation analysis (MF-DCCA) to investigate the multifractal characteristics of the cross-correlation between Tesla stock price (TSLA) and crude oil price (Brent), as well as between TSLA and other NEV stocks (excluding TSLA). The experimental results reveal long-term persistence and multiple fractal characteristics in the cross-correlations. Additionally, multifractal asymmetric detrended cross-correlation analysis (MF-ADCCA) demonstrates the asymmetry of the cross-correlation during upward or downward trends between TSLA and Brent, as well as between TSLA and other NEV stocks (excluding TSLA). Furthermore, utilizing the transfer entropy (TE) method, we assess the strength and direction of information flows between TSLA and Brent, and between TSLA and other NEV stocks (excluding TSLA). Interestingly, we observe bidirectional information transmission between TSLA and other NEV stocks, while only unidirectional information transmission from NIO to TSLA is evident. These findings provide valuable insights for resource allocation, supply chain management and sustainable development strategies for decision-makers in the NEV market.</p>","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":"13 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140205492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Crypto Analysis of the Key Distribution Scheme Using Noise-Free Resistances 使用无噪声阻抗的密钥分配方案密码分析
IF 1.8 4区 工程技术
Fluctuation and Noise Letters Pub Date : 2024-02-24 DOI: 10.1142/s0219477524500287
Laszlo B. Kish
{"title":"Crypto Analysis of the Key Distribution Scheme Using Noise-Free Resistances","authors":"Laszlo B. Kish","doi":"10.1142/s0219477524500287","DOIUrl":"https://doi.org/10.1142/s0219477524500287","url":null,"abstract":"<p>Known key exchange schemes offering information-theoretic (unconditional) security are complex and costly to implement. Nonetheless, they remain the only known methods for achieving unconditional security in key exchange. Therefore, the explorations for simpler solutions for information-theoretic security are highly justified. Lin <i>et al.</i> [1] proposed an interesting hardware key distribution scheme that utilizes thermal-noise-free resistances and DC voltages. A crypto analysis of this system is presented. It is shown that, if Eve gains access to the initial shared secret at any time in the past or future, she can successfully crack all the generated keys in the past and future, even retroactively, using passively obtained and recorded voltages and currents. Therefore, the scheme is not a secure key exchanger, but it is rather a key expander with no more information entropy than the originally shared secret at the beginning. We also point out that the proposed defense methods against active attacks do not function when the original shared secret is compromised because then the communication cannot be efficiently authenticated. However, they do work when an unconditionally secure key exchanger is applied to enable the authenticated communication protocol.</p>","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":"48 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140076511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Segmented Multifractal Detrended Fluctuation Analysis in Key Economic Sectors 主要经济部门的分段多分形趋势波动分析
IF 1.8 4区 工程技术
Fluctuation and Noise Letters Pub Date : 2023-12-15 DOI: 10.1142/s0219477524400261
Foued Saâdaoui
{"title":"Segmented Multifractal Detrended Fluctuation Analysis in Key Economic Sectors","authors":"Foued Saâdaoui","doi":"10.1142/s0219477524400261","DOIUrl":"https://doi.org/10.1142/s0219477524400261","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":"13 15","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138970732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Multi-Criteria Decision Analysis Framework for Evaluating Strategic Alternatives in Complex Business Markets 评估复杂商业市场战略选择的多标准决策分析框架
IF 1.8 4区 工程技术
Fluctuation and Noise Letters Pub Date : 2023-12-15 DOI: 10.1142/s0219477524500226
Zhang Yun, Leilei Jiang
{"title":"A Multi-Criteria Decision Analysis Framework for Evaluating Strategic Alternatives in Complex Business Markets","authors":"Zhang Yun, Leilei Jiang","doi":"10.1142/s0219477524500226","DOIUrl":"https://doi.org/10.1142/s0219477524500226","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":"10 12","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139001167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tree Seed Algorithm-based Feature Selection with Optimal Deep Learning Model for Supply Chain Management 基于树种子算法的特征选择与供应链管理的最佳深度学习模型
IF 1.8 4区 工程技术
Fluctuation and Noise Letters Pub Date : 2023-12-14 DOI: 10.1142/s0219477524400194
Jaber S. Alzahrani, Mashael Maashi, H. Alshahrani, Abdulkhaleq Q. A. Hassan, Jahangir Khan, A. Dutta, Yasir A. M. Eltahir, Hussam Eldin Hussein saad, Rafiulla Gilkaramenthi
{"title":"Tree Seed Algorithm-based Feature Selection with Optimal Deep Learning Model for Supply Chain Management","authors":"Jaber S. Alzahrani, Mashael Maashi, H. Alshahrani, Abdulkhaleq Q. A. Hassan, Jahangir Khan, A. Dutta, Yasir A. M. Eltahir, Hussam Eldin Hussein saad, Rafiulla Gilkaramenthi","doi":"10.1142/s0219477524400194","DOIUrl":"https://doi.org/10.1142/s0219477524400194","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":"6 2","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138971684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Forecasting Financial Market Trends in a Complex Business Environment 在复杂的商业环境中预测金融市场趋势
IF 1.8 4区 工程技术
Fluctuation and Noise Letters Pub Date : 2023-12-14 DOI: 10.1142/s0219477524400236
Xiuyan Wang
{"title":"Forecasting Financial Market Trends in a Complex Business Environment","authors":"Xiuyan Wang","doi":"10.1142/s0219477524400236","DOIUrl":"https://doi.org/10.1142/s0219477524400236","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":"23 11","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139002967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stock price forecasting based on dynamic factor augmented model averaging approach 基于动态因子增强模型平均法的股票价格预测
IF 1.8 4区 工程技术
Fluctuation and Noise Letters Pub Date : 2023-12-14 DOI: 10.1142/s0219477524400224
Fangfei Li
{"title":"Stock price forecasting based on dynamic factor augmented model averaging approach","authors":"Fangfei Li","doi":"10.1142/s0219477524400224","DOIUrl":"https://doi.org/10.1142/s0219477524400224","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":"38 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138973259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Approach Advancing Stock Market Forecasting with Joint RMSE Loss LSTM-CNN Model 利用联合均方根损失 LSTM-CNN 模型推进股市预测的方法
IF 1.8 4区 工程技术
Fluctuation and Noise Letters Pub Date : 2023-12-14 DOI: 10.1142/s0219477524400182
Mungara Kiran Kumar, J. Patni, Mohan Raparthi, Nasiba Sherkuziyeva, Muhammad Abdullah Bilal, Khursheed Aurangzeb
{"title":"Approach Advancing Stock Market Forecasting with Joint RMSE Loss LSTM-CNN Model","authors":"Mungara Kiran Kumar, J. Patni, Mohan Raparthi, Nasiba Sherkuziyeva, Muhammad Abdullah Bilal, Khursheed Aurangzeb","doi":"10.1142/s0219477524400182","DOIUrl":"https://doi.org/10.1142/s0219477524400182","url":null,"abstract":"","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":"1984 11","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138973821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Frequency-weighting Digital Filter in Sound Level Meter based on Neural Computing Method 基于神经计算方法的声级计频率加权数字滤波器
4区 工程技术
Fluctuation and Noise Letters Pub Date : 2023-11-09 DOI: 10.1142/s021947752450007x
Haiyun Lin, Xinjie Shen, Gang Long, Haijun Lin
{"title":"A Frequency-weighting Digital Filter in Sound Level Meter based on Neural Computing Method","authors":"Haiyun Lin, Xinjie Shen, Gang Long, Haijun Lin","doi":"10.1142/s021947752450007x","DOIUrl":"https://doi.org/10.1142/s021947752450007x","url":null,"abstract":"Frequency weighting networks are a critical component of a sound level meter (SLM), and their error characteristics directly determine the performances of SLM. For reducing the high-frequency error of the [Formula: see text] frequency-weighting filters with the bilinear transformation method (BTM), a design method for [Formula: see text] frequency-weighting filters based on neural computing method (NCM) is proposed. A detailed algorithm for solving the filter coefficients is provided, and the amplitude-frequency characteristics of the [Formula: see text] frequency-weighting filters with BTM and NCM are compared in detail. The experimental results show that the amplitude-frequency characteristics of the [Formula: see text] frequency-weighting filters in SLM with NCM are significantly better than those of BTM. The filter meets the requirements of the first class SLM defined by IEC61672, which demonstrates the effectiveness of this proposed method.","PeriodicalId":55155,"journal":{"name":"Fluctuation and Noise Letters","volume":" 83","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135191125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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