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Articles 1021 - 1050 of 88450
Full-Text Articles in Entire DC Network
Policy-Compliant Generative Artificial Intelligence Deployment Using A Multimodal Critic, Xingyu Federico Xu, Khyatti Gupta, Ágoston Weisz, Felipe Tiengo Ferreira, Anca Dragan, Adilet Zhaxybay, Igor Petrovski
Policy-Compliant Generative Artificial Intelligence Deployment Using A Multimodal Critic, Xingyu Federico Xu, Khyatti Gupta, Ágoston Weisz, Felipe Tiengo Ferreira, Anca Dragan, Adilet Zhaxybay, Igor Petrovski
Defensive Publications Series
Generative AI service providers provide access to image generation tools under contractual terms and conditions that require that such tools are used in a compliant way. GenAI service providers can implement guardrails and safety mechanisms to ensure compliance with their terms and conditions, and applicable regulations. However, it is possible for users to bypass such mechanisms and cause a genAI model to generate images that violate the policies of the service provider and/or applicable regulations. This disclosure describes a vision language model (VLM) that detects AI-generated images that violate specified policies. Using preamble-based policy guidelines, the VLM analyzes a generated …
Rack Thermal Topography Gans, N/A
Rack Thermal Topography Gans, N/A
Defensive Publications Series
The technology relates to a framework for designing the thermal layout of compute resource racks to proactively mitigate heat concentration zones and optimize cooling efficiency. The framework utilizes an artificial intelligence (AI) model, specifically a generative adversarial network (GAN), to automate the layout design process. The generative network is configured to ingest physical and operational constraints and produce a simulated layout. The initial layout estimation is then verified by a discriminator network, which acts as a neural network approximation of fluid dynamics, providing a closed-loop feedback mechanism to refine the generated result. The framework allows for the exploration of a …
A Proposed Model For Assessing The Impact Of Sustainable Practices On The Affordability Of Affordable Housing In Egypt Using Ahp, Ayman M Zakaria Eraqi, Omnia Nagy Abd El-Hafez, Amany Nagy Abd El-Hafez
A Proposed Model For Assessing The Impact Of Sustainable Practices On The Affordability Of Affordable Housing In Egypt Using Ahp, Ayman M Zakaria Eraqi, Omnia Nagy Abd El-Hafez, Amany Nagy Abd El-Hafez
HBRC Journal
Amid rising inflation and a housing crisis in Egypt, this research develops a model to assess the affordability of sustainable housing for low- and middle-income groups by integrating environmental, social, and economic sustainability criteria. The research methodology used Analytic Hierarchy Process (AHP) to evaluate the relative weights of sustainability criteria in housing projects. Based on their impact on construction costs, these criteria were classified by experts into five main groups: Design Criteria (preliminary studies, initial cost, environmental planning), Neighborhood Criteria (location, design, management), Social and Cultural Criteria (privacy and safety), Natural Resource Sustainability (water, energy), Housing Unit Criteria (design and …
A Review Of Machine Learning Methods In Energy Management System, Mays Sattar Al-Fatllah, Zaipatimah Ali, Aidil Azwin Zainul Abidin
A Review Of Machine Learning Methods In Energy Management System, Mays Sattar Al-Fatllah, Zaipatimah Ali, Aidil Azwin Zainul Abidin
Almaaqal Journal of Sustainability and Emerging Technology
Traditional energy sources are vital for energizing residences and industries. Nonetheless, they meet considerable obstacles, such as deteriorating infrastructure, ecological decline, resource exhaustion, price fluctuations, and a disparity between real-time demand and supply. Conversely, renewable energy sources offer cleaner and more sustainable energy sources. Renewable energy mitigates the pollution caused by carbon and greenhouse gas emissions in traditional power systems. Incorporating renewable energy into a power system needs an efficient management system to keep stability and improve power use. Modern energy management systems (EMS) face a significant challenge in controlling renewable and non-renewable energy sources. The challenges encompass intermittent and …
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 …
A Smart City Transformation Survey: Using Intelligent Buildings To Promote Smart Cities, Salma A. Alhashimi, Majid A. Alwan, Ali N. Aliedani
A Smart City Transformation Survey: Using Intelligent Buildings To Promote Smart Cities, Salma A. Alhashimi, Majid A. Alwan, Ali N. Aliedani
Almaaqal Journal of Sustainability and Emerging Technology
The challenges of urbanization have been greatly aided by the integration of cutting-edge technology into smart buildings and cities. In smart cities and buildings, machine learning and the Internet of Things are essential for boosting sustainability, increasing safety, and optimizing resource use. In order to enable more effective, connected, and comfortable living in urban settings, this work has introduced the relationship between creative technology and buildings. It also discusses the regulatory frameworks for smart cities and emphasizes the importance of standardization in this regard.
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 …
Pengaruh Video Edukasi Unsafe Action Terhadap Tingkat Pengetahuan Dan Perilaku Pekerja Weaving Di Pt X, Ajay Abdiel Ferrall, Maria Paskanita Widjanarti, Jihan Faradisha
Pengaruh Video Edukasi Unsafe Action Terhadap Tingkat Pengetahuan Dan Perilaku Pekerja Weaving Di Pt X, Ajay Abdiel Ferrall, Maria Paskanita Widjanarti, Jihan Faradisha
National Journal of Occupational Health and Safety
The textile industry is one of the leading sectors in Indonesia, playing a crucial role in providing employment and driving economic growth. However, this industry also carries significant potential for occupational safety and health hazards, particularly due to unsafe actions. Observations at PT X revealed that workers' level of knowledge and behavior regarding unsafe actions remained low. This study was conducted with the aim of analyzing the effectiveness of an educational video intervention on unsafe actions on workers' knowledge and behavior. This quantitative research employed a quasi-experimental design using a non-equivalent control group model. The study was carried out at …
Efektivitas Pemberian Buah Pisang Raja Untuk Menurunkan Kelelahan Kerja Pada Operator Sewing Umkm Garmen X Karanganyar, Virginia Bernardine Gavra Prachristma Sujudi, Tyas Lilia Wardani, Rizqy Kartika Sari
Efektivitas Pemberian Buah Pisang Raja Untuk Menurunkan Kelelahan Kerja Pada Operator Sewing Umkm Garmen X Karanganyar, Virginia Bernardine Gavra Prachristma Sujudi, Tyas Lilia Wardani, Rizqy Kartika Sari
National Journal of Occupational Health and Safety
Work fatigue is a common problem that can reduce productivity and increase the risk of workplace accidents. At UMKM Garmen X Karanganyar, the lack of supplementary food intake causes energy deficits and fatigue among workers. This condition underlies the research to analyze the effectiveness of giving banana raja (Musa paradisiaca L.) as an additional snack in reducing work fatigue among sewing operators at UMKM Garmen X Karanganyar. The research was conducted using a true experimental method with a pre-test and post-test design with a control group. 42 sewing operators were selected from 47 workers using simple random sampling, divided into …
Solving Data Mining Challenges In Neutrosophic Environments Using Bio-Inspired Optimization Techniques, Samia Mandour, Abduallah Gamal, Mohamed Belal
Solving Data Mining Challenges In Neutrosophic Environments Using Bio-Inspired Optimization Techniques, Samia Mandour, Abduallah Gamal, Mohamed Belal
Neutrosophic Sets and Systems
No abstract provided.
New Geographic Distributional Records For Fishes From The Black River At Black Rock, Lawrence County, Arkansas, C. T. Mcallister, H. W. Robison
New Geographic Distributional Records For Fishes From The Black River At Black Rock, Lawrence County, Arkansas, C. T. Mcallister, H. W. Robison
Journal of the Arkansas Academy of Science
During February and/or March 2020-2025, various fishes were collected with a modified minnow trap and hoop nets from the White River drainage of the Black River at Black Rock, Lawrence County, Arkansas. A total of 35 species within 11 families were collected and the following taxa represent new distributional records: Acipenseridae: Lake Sturgeon (Acipenser fulvescens); Polydontidae: Paddlefish, Polyodon spathula; Catostomidae: Quillback (Carpiodes cyprinus), Highfin Carpsucker (Carpiodes velifer), Blue Sucker (Cycleptus elongatus), Northern Hogsucker (Hypentelium nigricans); Leuciscidae: Creek Chub (Semotilus atromaculatus). The most significant discoveries were the collection …
Spatial Distribution And Source-Sink Matching Of Stationary Co2 Emissions In Zhejiang Province, Zhu Qianlin, Chen Dongbao, Liu Hanxiao, Lu Shijian, Chen Fu
Spatial Distribution And Source-Sink Matching Of Stationary Co2 Emissions In Zhejiang Province, Zhu Qianlin, Chen Dongbao, Liu Hanxiao, Lu Shijian, Chen Fu
Coal Geology & Exploration
Objective Carbon capture, utilization, and storage (CCUS) is supposed to become an essential technology for the consumption of fossil fuels under the background of achieving carbon neutrality. Delving into the spatial distribution of regional CO2 stationary sources and the source-sink matching characteristics will contribute to more rational decision-making in CCUS deployment and promote the development of carbon sequestration technology. Methods This study investigated the spatial distribution of CO2 stationary sources in Zhejiang Province and, using the carbon emission factor method, assessed their CO2 emissions based on their scales. Furthermore, it analyzed the geological features of both onshore …
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 …
Compression Forming Of Basic Oxygen Furnace Slag-Gypsum Blocks: Performance Enhancement And Environmental Assessment, Fengyi Zhang
Compression Forming Of Basic Oxygen Furnace Slag-Gypsum Blocks: Performance Enhancement And Environmental Assessment, Fengyi Zhang
Student Works (2020-2029)
The construction industry plays a crucial role in global development but faces significant environmental challenges, particularly CO2 emissions from cement production. Gypsum blocks provide a sustainable alternative to traditional cement concrete blocks. However, the low mechanical strength and water resistance of gypsum materials limit the widespread adoption of gypsum-based materials in the construction industry. This study initially produced gypsum-based blocks using compression forming, adding supplementary cementitious materials (SCMs), and subjecting accelerated carbonation curing (ACC). It was found that compression forming addressed the shortcomings of traditional block manufacturing (high energy consumption and long production time), and the addition of SCMs generated …
Incidental Cardiac Metastasis In Breast Carcinoma, Yaomin Chen, Haibo Wang, Zhiyan Fu, Ellen Elizabeth Connor
Incidental Cardiac Metastasis In Breast Carcinoma, Yaomin Chen, Haibo Wang, Zhiyan Fu, Ellen Elizabeth Connor
School of Medicine Faculty Publications
Background and Clinical Significance: Metastatic breast cancer is a major global health burden, with common metastatic sites including the bones, lungs, liver, and brain. Cardiac metastasis is rare and often clinically silent, leading to underdiagnosis. Recognizing cardiac involvement, even when asymptomatic, is important for understanding the full extent of disease and ensuring optimal patient care. Case Presentation: We report the case of a woman with advanced breast carcinoma who showed no clinical or imaging evidence of cardiac involvement throughout the course of her illness. Following her death from progressive metastatic disease, an autopsy revealed metastatic carcinoma infiltrating the myocardium and …
Effective Dominating Energy In Neutrosophic Over Graphs, E. Lincy, V. Maheswari
Effective Dominating Energy In Neutrosophic Over Graphs, E. Lincy, V. Maheswari
Neutrosophic Sets and Systems
No abstract provided.
Pythagorean Neutrosophic Fuzzy Em-Swara-Topsis Approach For Green Supply Selection, Sudip Kumar Gorey, Sreejata Sen Sarma, Avijit De
Pythagorean Neutrosophic Fuzzy Em-Swara-Topsis Approach For Green Supply Selection, Sudip Kumar Gorey, Sreejata Sen Sarma, Avijit De
Neutrosophic Sets and Systems
No abstract provided.
Reliability Estimation Using Interval-Valued Neutrosophic Number For Multi-Criteria Decision Making Problems, Supriya Supriya, Suneel Kumar
Reliability Estimation Using Interval-Valued Neutrosophic Number For Multi-Criteria Decision Making Problems, Supriya Supriya, Suneel Kumar
Neutrosophic Sets and Systems
No abstract provided.
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.
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.
An Intelligent Soft Computing-Oriented Strategy For Managing Global Sustainability Issues In Dynamic Environments, Walaa M. Sabry
An Intelligent Soft Computing-Oriented Strategy For Managing Global Sustainability Issues In Dynamic Environments, Walaa M. Sabry
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.
Neutrosophic Sets And Systems, Vol. 94, 2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets And Systems, Vol. 94, 2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets and Systems
No abstract provided.
Evaluasi Keselamatan Alat Permainan Edukatif (Ape) Dan Penataan Area Bermain Outdoor Di Dua Taman Kanak-Kanak, Auri Willyado, Novrikasari Novrikasari, Mona Lestari, Dina Waldani, Desheila Andarini
Evaluasi Keselamatan Alat Permainan Edukatif (Ape) Dan Penataan Area Bermain Outdoor Di Dua Taman Kanak-Kanak, Auri Willyado, Novrikasari Novrikasari, Mona Lestari, Dina Waldani, Desheila Andarini
National Journal of Occupational Health and Safety
Educational Play Equipment (APE) is one of the facilities provided by Early Childhood Education (PAUD) institutions to support the learning process through play. This study aims to assess the compliance of APE and the arrangement of outdoor play areas with the 2018 Guidelines for Managing PAUD Classroom Space, SNI 9169:2023, the Ministry of Education and Culture’s 2021 Safe APE Guidelines for Early Childhood, and Ministerial Regulation No. 3 of 2022. The study employs a qualitative design with a descriptive approach through facility observations, interviews with teaching staff, and a review of school documents. The data analysis process includes data reduction, …
Efektivitas Dan Keberterimaan Madcom Noise Protection Sebagai Alat Pelindung Pendengaran Berbasis Perlindungan Ganda, Ahmad Athif Wahyu Ramadhan, Yamtana Yamtana, Naris Dyah Prasetyawati, Sigid Sudaryanto
Efektivitas Dan Keberterimaan Madcom Noise Protection Sebagai Alat Pelindung Pendengaran Berbasis Perlindungan Ganda, Ahmad Athif Wahyu Ramadhan, Yamtana Yamtana, Naris Dyah Prasetyawati, Sigid Sudaryanto
National Journal of Occupational Health and Safety
Industrial environments often generate high noise levels due to the continuous operation of machinery and production equipment. Persistent exposure to workplace noise exceeding the Threshold Limit Value (TLV) can lead to noise-induced hearing loss. According to the World Health Organization, an estimated 430 million people worldwide require rehabilitation for hearing impairment, with 109.4 million of these cases occurring in Southeast and Central Asia. As a critical component of Occupational Health and Safety (OHS) management, noise control is often implemented using Hearing Protection Devices (HPDs). This study aims to evaluate the effectiveness of an earplug-earmuff combination, developed as Madcom Noise Protection, …
Structural Categorization And Identification Of Electrostatic Interactions In Two Proposed Human Serum Albumin Dimerization Patterns And Dipyridamole Interaction, Haluk Çeti̇nok, Veyi̇s Karakoç, Erol Erçağ, Yusuf Meli̇h Şekerer, Hasan Demi̇rci̇
Structural Categorization And Identification Of Electrostatic Interactions In Two Proposed Human Serum Albumin Dimerization Patterns And Dipyridamole Interaction, Haluk Çeti̇nok, Veyi̇s Karakoç, Erol Erçağ, Yusuf Meli̇h Şekerer, Hasan Demi̇rci̇
Turkish Journal of Chemistry
Human serum albumin (HSA) is a ubiquitous, multifunctional protein responsible for the systemic distribution of both endogenous metabolites and exogenous pharmaceuticals. Its inherent properties, particularly its ability to seep into tissues and its multiple ligand-binding sites, have rendered HSA an attractive vehicle for nanoparticle-based drug delivery systems, particularly for cancer targeting. In this study, we present high-resolution crystallographic data revealing two distinct dimerization patterns of HSA (Protein Data Bank [PDB] ID: 9V61) obtained under high-concentration crystallization conditions, along with results from dipyridamole docking. Both dimer types demonstrate extensive interface areas and a significant number of electrostatic interactions. Comparative analysis with …
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 …
New Bis-Piperazine Derivatives: Synthesis, Characterization (Ir, Nmr), Gamma-Ray Absorption, Antimicrobial Activity, Molecular Docking And Dynamics Study, Yasemi̇n Ünver, Arzu Coşkun, Fati̇h Çeli̇k, Hali̇l İbrahi̇m Güler, Kadri̇ye İnan Bektaş
New Bis-Piperazine Derivatives: Synthesis, Characterization (Ir, Nmr), Gamma-Ray Absorption, Antimicrobial Activity, Molecular Docking And Dynamics Study, Yasemi̇n Ünver, Arzu Coşkun, Fati̇h Çeli̇k, Hali̇l İbrahi̇m Güler, Kadri̇ye İnan Bektaş
Turkish Journal of Chemistry
A series of novel bis-piperazine derivatives (2a–2f) were synthesized and structurally characterized via Fourier transform-infrared and nuclear magnetic resonance spectroscopic techniques. Their gamma-ray shielding efficiencies were investigated through simulations on the Monte Carlo-based Geant4-GATE platform, and the results were benchmarked against data obtained from the XCOM and Phy-X software. A simulation model incorporating an NaI scintillation detector and a point gamma source was developed. Key shielding parameters, including mass attenuation coefficient, linear attenuation coefficient, half-value layer, and mean free path (MFP), were evaluated at gamma energies of 80, 120, 662, 1173, and 1332 keV. Additionally, the energy absorption buildup factor …