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Articles 361 - 390 of 38552
Full-Text Articles in Entire DC Network
Machine Learning Framework For Automatic Classification Of Nano-Seismic Signals Preceding Earthquakes, Ghada Ali, Ali G. Hafez, Sayed Hasaneen, Hamed Nofel, Nabeel Al-Atwan, Ahmed Mohamed
Machine Learning Framework For Automatic Classification Of Nano-Seismic Signals Preceding Earthquakes, Ghada Ali, Ali G. Hafez, Sayed Hasaneen, Hamed Nofel, Nabeel Al-Atwan, Ahmed Mohamed
Almaaqal Journal of Sustainability and Emerging Technology
Nano-seismicity preceding earthquakes has many applications in fault prediction, in structure health monitoring, and in enhancing fault and source parameter determination. Not all earthquakes are preceded by these precursors; therefore, there is a need to identify P-wave arrivals that are preceded by these nano signals, which will eliminate errors in P-wave arrival timing. The current work introduces topologies capable of automatically categorizing the arrivals with nano-seismic precursors. The proposed methods are trained on datasets extracted from stations belonging to Egyptian National Seismic Network (ENSN). These records contain both P-wave arrivals preceded by such nano precursors and other records without these …
Logging-While-Drilling Azimuthal Electromagnetic Measurements For High-Resistivity Coal Seams, Zhao Weina, Zheng Dongfang, Ai Weiping, Xie Xia
Logging-While-Drilling Azimuthal Electromagnetic Measurements For High-Resistivity Coal Seams, Zhao Weina, Zheng Dongfang, Ai Weiping, Xie Xia
Coal Geology & Exploration
Objective and Method To determine the boundary detection capability of logging-while-drilling (LWD) electromagnetic azimuthal measurements for high-resistivity coal mines, this study simulated geosignal responses under varying operating frequencies, transmitter-receiver coil spacing conditions, and formation resistivity values. Then, key parameters for boundary detection for high-resistivity coal seams were optimized. Accordingly, this study proposed design schemes for LWD instruments with short (< 80 inches) and long (approximately 240 inches) transmitter-receiver coil spacing for short-distance (2.032 m) and long-distance (6.096 m) detection, respectively. Results and Conclusions LWD electromagnetic azimuthal measurements exhibit a significantly decreased depth of detection (DOD) in high-resistivity coal seams compared to that in low-resistivity hydrocarbon reservoirs. Consequently, the existing methods for selecting the operating frequency and transmitter-receiver coil spacing are …
Current Status And Future Trend Of Research On Underground Borehole Measurement Technology For Coal Mines, Chen Long, Yang Dongdong, Li Quanxin, Chu Zhiwei, Zhang Jiguan, Chen Xiang
Current Status And Future Trend Of Research On Underground Borehole Measurement Technology For Coal Mines, Chen Long, Yang Dongdong, Li Quanxin, Chu Zhiwei, Zhang Jiguan, Chen Xiang
Coal Geology & Exploration
Background Underground borehole measurement emerges as a core technology for the safe production of coal mines. Its multi-parameter measurements, data accuracy, data transmission rate, and reliability directly influence the timeliness of early warning for disasters, the operating stability of instruments, the accuracy of borehole assessment, and the scientific rigor of intelligent decision-making under complex deep geological conditions. Advances So far, the measurement while drilling (MWD) and post-drilling borehole visualization techniques have developed into a diversified technological system. Specifically, the MWD technique has achieved a leap from wireline to wireless transmission, obviating the reliance on wireline drill rods in traditional measurement …
Key Technical Difficulties, Challenges, And Prospects Of Geologic Co2 Sequestration In Saline Aquifers, Wei Hengfei, Shi Junjie, Nie Xiaodong, Fang Jie, Chen Jing, Zhao Yue, Sun Dawei, Li Xin, Zhang Yong, Guo Pei
Key Technical Difficulties, Challenges, And Prospects Of Geologic Co2 Sequestration In Saline Aquifers, Wei Hengfei, Shi Junjie, Nie Xiaodong, Fang Jie, Chen Jing, Zhao Yue, Sun Dawei, Li Xin, Zhang Yong, Guo Pei
Coal Geology & Exploration
Background and Method Carbon capture and storage (CCS) technology represents the primary technical direction for large-scale carbon emission reduction. Among various CCS techniques, geologic CO2 sequestration in saline aquifers holds great potential, establishing it as a major technique for future carbon storage. Based on a review of the current status of research on global geologic CO2 sequestration in saline aquifers, this study comprehensively analyzed the technical difficulties, challenges, and prospects of this technology, focusing on the dilemma of the application of this technology under complex geological conditions in China. Results and Conclusions A huge gap in both the …
Self-Adaptive Inverse Wavefield Transform And Derived Pseudo-Wavefield Characteristics Under Roadway-Borehole Observation Of Transient Electromagnetic Data, Fan Kerui, Guo Jianlei, Wang Ruoyu, Zhuang Ming, Fan Fangze, Xu Sheng, Zhao Wentao
Self-Adaptive Inverse Wavefield Transform And Derived Pseudo-Wavefield Characteristics Under Roadway-Borehole Observation Of Transient Electromagnetic Data, Fan Kerui, Guo Jianlei, Wang Ruoyu, Zhuang Ming, Fan Fangze, Xu Sheng, Zhao Wentao
Coal Geology & Exploration
Objective To address the challenge of detecting aquifers outside the roadway excavation contour, this study combined the close-range detection via roadway-borehole transient electromagnetic (TEM) method with the wavefield transform. This will help simultaneously receive detection signals in front of the mining face and outside the roadway excavation contour while also highlighting the boundary information of aquifers. Moreover, to obtain a pseudo-wavefield featuring both reasonable kinematic characteristics and high sensitivity to changes in the electrical structures of strata, this study proposed a self-adaptive algorithm of inverse wavefield transform, thereby improving the accuracy and efficiency of the inverse wavefield transform of roadway-borehole …
Performance And Migration Path Tracing Of Magnetic Grouts For Fractured Rock Masses, Shang Hongbo, Wang Hao, Wang Xiaodong, Qiao Wei, Wang Tiantian, Sun Junqing, Sun Jie
Performance And Migration Path Tracing Of Magnetic Grouts For Fractured Rock Masses, Shang Hongbo, Wang Hao, Wang Xiaodong, Qiao Wei, Wang Tiantian, Sun Junqing, Sun Jie
Coal Geology & Exploration
Objective For coal mining areas in the middle reaches of the Yellow River basin, sealing mining-induced fractures via grouting serves as an effective approach to preventing water inrushes from coal seam roofs while also protecting groundwater resources. However, accurately identifying the migration paths of grouts remains a bottleneck for the further application of grouting modification technology to fractured rock masses. Methods This study investigated a coal mine threatened by both water inrushes from the coal seam roof and a short supply of water resources within the Jurassic coalfield in the middle reaches of the Yellow River basin, focusing on the …
An Automated Attitude Control Method For The Rotary Steerable System And Its Validation Through Hardware-In-The-Loop Simulation, Zhang Nan, Ren Bai’An, Li Fei, Liu Ziqi, Lyu Fangxing
An Automated Attitude Control Method For The Rotary Steerable System And Its Validation Through Hardware-In-The-Loop Simulation, Zhang Nan, Ren Bai’An, Li Fei, Liu Ziqi, Lyu Fangxing
Coal Geology & Exploration
Objective The traditional manual control mode of a rotary steerable system (RSS) faces challenges, including response delay and low control efficiency. To address these challenges, this study proposed a closed-loop automated attitude control method for the RSS and verified its effectiveness through hardware-in-loop (HIL) simulation. Methods This study focuses on the drilling process of a point-the-bit RSS. In the case of deviations between measured and target attitudes, the control parameters were calculated based on the deviation signals using a closed-loop controller, driving the RSS actuator to conduct trajectory correction. Afterward, the actual attitude was yielded and then entered the input …
Synthesis Of Biogenic Silver Nanoparticles From Apricot Kernel Extracts For The Colorimetric Determination Of Gold, Ayça Gi̇rgi̇n, Hi̇lal Akbiyik, Buse Tuğba Zaman, Omid Nejati, Ayça Bal Öztürk, Gülten Çeti̇n, Sezgi̇n Bakirdere
Synthesis Of Biogenic Silver Nanoparticles From Apricot Kernel Extracts For The Colorimetric Determination Of Gold, Ayça Gi̇rgi̇n, Hi̇lal Akbiyik, Buse Tuğba Zaman, Omid Nejati, Ayça Bal Öztürk, Gülten Çeti̇n, Sezgi̇n Bakirdere
Turkish Journal of Chemistry
Gold is abundant in nature, however, precise and reliable analytical methods for its detection are required stemming from its increasing prevalence in environmental, biological, and industrial systems, as well as the growing interest in understanding its function in living organisms and its effects on human health. This study investigates the use of biogenically synthesized silver nanoparticles (AgNPs) for the preconcentration and determination of gold ions prior to determination by UV-Vis spectrophotometry. AgNPs were synthesized by reducing silver nitrate through the use of an apricot kernel extract as both reducer and stabilizer agent. The colloidal yellowish AgNPs interacted with gold ions, …
Effects Of Video Game Type On Cognitive Performance And Brain Functional Connectivity: A Longitudinal Eeg Study, Jingqing Lu, Ruifang Cui, Lijun Jiang, Chenyu Mu, Weiyi Ma, Diankun Gong, Dezhong Yao
Effects Of Video Game Type On Cognitive Performance And Brain Functional Connectivity: A Longitudinal Eeg Study, Jingqing Lu, Ruifang Cui, Lijun Jiang, Chenyu Mu, Weiyi Ma, Diankun Gong, Dezhong Yao
General Human Environmental Sciences Faculty Publications and Presentations
Background: Previous research has shown that video gaming experience is associated with changes in cognitive and perceptual functions as well as neural structure and function. However, how the different types of video games differentially influence cognitive function and neuroplasticity remains unclear. Methods: In this 30-week longitudinal study, participants were randomly assigned to an action video game group or a strategy card game group. Behavioral assessments and resting-state electroencephalography (EEG) recordings were administered at six time points to evaluate changes in attention, working memory, executive function, and their neural correlates. Results: Both groups showed significant improvements in multiple cognitive tasks, but …
Responsible Ai For Text Classification: A Neutrosophic Approach Combining Classical Models And Bert, Nabil M. Abdel-Aziz, Mahmoud Ibrahim
Responsible Ai For Text Classification: A Neutrosophic Approach Combining Classical Models And Bert, Nabil M. Abdel-Aziz, Mahmoud Ibrahim
Neutrosophic Sets and Systems
No abstract provided.
Supersaturation Effect And Its Characterization In Gas-Rich Intervals Of Deep Coal Seams, Zhou Lihong, Li Yong, Ding Rong, Li Yun, Li Yongzhou, Kong Jintao
Supersaturation Effect And Its Characterization In Gas-Rich Intervals Of Deep Coal Seams, Zhou Lihong, Li Yong, Ding Rong, Li Yun, Li Yongzhou, Kong Jintao
Coal Geology & Exploration
Objective and Method High free gas content serves as a key factor controlling the enrichment and high productivity of deep coalbed methane (CBM). However, its direct determination is challenging, making the accurate identification of free gas-rich coal seam intervals a core scientific issue for efficient exploration and recovery of CBM. This study investigated the Daning-Jixian block (also referred to as the Daji Block) within the Ordos Basin. Based on analyses and tests of the gas content, coal macrolithotype, physical properties, and log responses of cores collected from representative wells through pressure-retained coring, this study systematically assessed the vertical heterogeneity of …
Physical Simulation Experiments On 4d Visualization Of Dynamic Methane Diffusion And Adsorption In Low-Porosity And Low-Permeability Coals, Liu Tong, Jiao Baizhuo, Lin Baiquan, Sang Shuxun, Yang Wei, Liu Shiqi, Liu Ting, Li He, Yang Mingxing
Physical Simulation Experiments On 4d Visualization Of Dynamic Methane Diffusion And Adsorption In Low-Porosity And Low-Permeability Coals, Liu Tong, Jiao Baizhuo, Lin Baiquan, Sang Shuxun, Yang Wei, Liu Shiqi, Liu Ting, Li He, Yang Mingxing
Coal Geology & Exploration
Objective and Method The diffusivity of methane (CH4) in coal seams significantly influences the surface extraction of coalbed methane (CBM) and underground gas drainage. However, the visualized characterization of the diffusion and migration processes of CH4 in coals remains challenging. To address this issue, this study systematically demonstrated the similarity between krypton (Kr) and CH4 in their adsorption and diffusion behavior in coals. Utilizing Kr—a gas with high X-ray attenuation—as a tracer substitute for CH4, this study achieved the transparent observation of the dynamic gas migration process in low-porosity, low-permeability, and heterogeneous coals using …
Organically-Bound Forms Of Alkali And Alkaline Earth Metals In High-Alkali Coals And Their Geological Indications, Wang Xiaoling, Wang Shaoqing, Zhao Yungang, Mu Ruifeng, Shao Yan
Organically-Bound Forms Of Alkali And Alkaline Earth Metals In High-Alkali Coals And Their Geological Indications, Wang Xiaoling, Wang Shaoqing, Zhao Yungang, Mu Ruifeng, Shao Yan
Coal Geology & Exploration
Objective and Method Alkali and alkaline earth metals (AAEMs) in coals adversely affect coal processing and utilization. Among the AAEMs, water-soluble and mineral-hosted metals can be largely removed through water washing, flotation, and heavy liquid separation, while organically-bound AAEMs are difficult to eliminate. In this study, high-alkali coal samples with varying vitrinite/inertinite ratios (V/Is) collected from the Zhundong coalfield in Xinjiang were selected to investigate the organically-bound forms of AAEMs. Through sequential chemical extraction, combined with experimental techniques such as 23Na cross-polarization magic-angle spinning nuclear magnetic resonance (23Na CP/MAS NMR) and transmission electron microscopy-energy dispersive …
On Performance Analysis Of A Neutrosophic Bipolar Fuzzy And Texture-Based Model For Covid-19 Detection From Chest X-Rays, Sanjayprabu S, Senthil Kumar L, Santhakumari R, Mareeswari R, Ajithkumar R
On Performance Analysis Of A Neutrosophic Bipolar Fuzzy And Texture-Based Model For Covid-19 Detection From Chest X-Rays, Sanjayprabu S, Senthil Kumar L, Santhakumari R, Mareeswari R, Ajithkumar R
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic-Based Feature Set (Nbfs) For Brain Tumor Detection Using Glcm Features And Knn Classifier On Mri Images, S. Gowri, V. M. Vijayalakshmi
Neutrosophic-Based Feature Set (Nbfs) For Brain Tumor Detection Using Glcm Features And Knn Classifier On Mri Images, S. Gowri, V. M. Vijayalakshmi
Neutrosophic Sets and Systems
No abstract provided.
Process Activities Of A Neutrosophic-Based Smart Simulation Framework For Islamic Sacred Rituals, Nabil M. Abdelaziz, Mohamad S. Al-Thenyan
Process Activities Of A Neutrosophic-Based Smart Simulation Framework For Islamic Sacred Rituals, Nabil M. Abdelaziz, Mohamad S. Al-Thenyan
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic‑Enhanced Cephalometric Analysis With Improved Diagnostic Accuracy For Egyptian Population, Nagham Ahmed Abdelmegeed, Amal F. Abdel-Gawad
Neutrosophic‑Enhanced Cephalometric Analysis With Improved Diagnostic Accuracy For Egyptian Population, Nagham Ahmed Abdelmegeed, Amal F. Abdel-Gawad
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Probability And Measure For Resilient Supply Chain Management Under Indeterminacy, Mohamed Ismail, Esraa Kamal
Neutrosophic Probability And Measure For Resilient Supply Chain Management Under Indeterminacy, Mohamed Ismail, Esraa Kamal
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic State Learning For High-Stakes Systems Using A Dynamic Triplet Model Of Support Contradiction And Uncertainty, Alaa Hassan And, Reda Ahmed
Neutrosophic State Learning For High-Stakes Systems Using A Dynamic Triplet Model Of Support Contradiction And Uncertainty, Alaa Hassan And, Reda Ahmed
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Α-Discounted Cognitive Mapping For Financial Distress Prediction: Evidence From Saudi Emerging Markets, Mohanned H. Alharbi
Neutrosophic Α-Discounted Cognitive Mapping For Financial Distress Prediction: Evidence From Saudi Emerging Markets, Mohanned H. Alharbi
Neutrosophic Sets and Systems
No abstract provided.
Α-Glycosidase Activity Of Novel Coumarin–Triazole–Coumarin Dyads, Ersi̇n Şi̇ri̇n, Esra Sevi̇mli̇, Gökçe Seyhan, Burak Barut, Yunus Kaya, Baybars Köksoy
Α-Glycosidase Activity Of Novel Coumarin–Triazole–Coumarin Dyads, Ersi̇n Şi̇ri̇n, Esra Sevi̇mli̇, Gökçe Seyhan, Burak Barut, Yunus Kaya, Baybars Köksoy
Turkish Journal of Chemistry
Novel coumarin–triazole–coumarin dyads were synthesized and characterized, and their α-glycosidase inhibitory activities were evaluated spectrophotometrically. Compound 4e exhibited the most pronounced inhibitory effect, with an IC50 value of 38.98 ± 0.77 μM. The IC50 values for 4d and 4a were 93.55 ± 1.70 μM and 95.04 ± 3.55 μM, respectively. The Lineweaver–Burk plot showed that 4e inhibited α-glycosidase in a mixed type. In addition, the Ki value obtained from the Dixon plot was 19.95 ± 0.15 μM for α-glycosidase.
Optimizing Crime Response Time Using Predictive Analytics Models, Mohammad Hassan Bin Yaqoob
Optimizing Crime Response Time Using Predictive Analytics Models, Mohammad Hassan Bin Yaqoob
Theses
Timely and efficient emergency response is essential for public safety, particularly in high- risk urban environments. However, existing dispatch systems often rely on reactive decision- making, leading to delays and inefficient resource allocation. This thesis explores how artificial intelligence (AI) and data modeling can enhance police response times through predictive analytics. A systematic review of 17 peer-reviewed studies identified key predictors such as dispatch behavior, crime history, temporal characteristics, and geographic location. Using real-world emergency response and crime data, predictive models were developed and evaluated through algorithms including XGBoost, Linear Support Vector Machine (LSVM), Generalized Linear Model (GLM), and Neural …
A Pilot Qualitative Study To Better Understand The Factors Related To Suicides And Inform Public Health Action Across A Predominantly Coastal And Rural Area: Cornwall, Southwest Of England: International Journal Of Environmental Research And Public Health, Paula Chappell, Jane Horrell, Kerryn Husk, Beth Simons, Richard A. Sharpe
A Pilot Qualitative Study To Better Understand The Factors Related To Suicides And Inform Public Health Action Across A Predominantly Coastal And Rural Area: Cornwall, Southwest Of England: International Journal Of Environmental Research And Public Health, Paula Chappell, Jane Horrell, Kerryn Husk, Beth Simons, Richard A. Sharpe
Peninsula Medical School
Background: Better understanding factors leading to suicide and prevention opportunities is a global public health priority. This qualitative pilot study tested whether reviewing inquest recordings could generate insights during COVID-19 and inform public health prevention programmes across a predominantly rural and coastal area where there are significant health inequalities. Methods: Fifty-five inquest recordings reached a suicide conclusion between March 2020 and January 2021. Stratified sampling was used to obtain two samples from each month. Template analysis was employed to thematically analyse data from 30 inquests. Results: Risk factors during this period were social isolation, anxiety, difficulty in routine creation and …
Automatic Guitar Transcription Of Polyphonic Music, Ritwik Patil
Automatic Guitar Transcription Of Polyphonic Music, Ritwik Patil
Master's Theses
Transcribing guitar music automatically is a complex task due to polyphonic overlap, tuning variations, and diverse playing techniques. Current transcription systems focus on identifying note pitches and timing while ignoring performance techniques that describe how the notes are played, treating guitar recordings as generic polyphonic audio and producing MIDI-like outputs that lose important information about articulation and style. To address these challenges, we propose an end-to-end transformer model for automatic guitar transcription. The system uses a T5-based encoder-decoder architecture that processes the Constant-Q Transform (CQT) of stereo audio input. The stereo representation helps separate individual guitar parts within a mix …
Engaging Stakeholders To Build, Sustain, And Grow Responsible Business: Some Frameworks, Meena Raghunathan, Kara Li Liu
Engaging Stakeholders To Build, Sustain, And Grow Responsible Business: Some Frameworks, Meena Raghunathan, Kara Li Liu
Markets, Globalization & Development Review
This is a follow-up Dialogue commentary to the MGDR publication:
Raghunathan, Meena and Liu, Kara Li (2024) "Moving from ‘Managing Stakeholders’ to ‘Managing for Stakeholders’: The Imperative for Responsible Business," Markets, Globalization & Development Review: Vol. 9: No. 3, Article 4.
DOI: 10.23860/MGDR-2024-09-03-04
Available at: https://digitalcommons.uri.edu/mgdr/vol9/iss3/4.
In this commentary, the concepts of stakeholder approach to management is expanded and deepened.
The Tax Adviser, Volume 5, Number 10, October 1974, American Institute Of Certified Public Accountants
The Tax Adviser, Volume 5, Number 10, October 1974, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
Subject Index, 12 Months Ended September 1974, American Institute Of Certified Public Accountants
Subject Index, 12 Months Ended September 1974, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
Tax Trends, E. S. Linett
Demolition Of Leased Property: A Proposal, William L. Raby
Demolition Of Leased Property: A Proposal, William L. Raby
Tax Adviser
No abstract provided.
Limited Partnership V. Association: A Need For Change, Philip P. Storrer
Limited Partnership V. Association: A Need For Change, Philip P. Storrer
Tax Adviser
No abstract provided.