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Articles 811 - 840 of 75572
Full-Text Articles in Entire DC Network
Optimizing Bioethanol Production Using Design Of Experiments For Sustainable Biofuel Development, Hussein M. Hussein, Yahya H. Shahin, Ihab A. Moneam
Optimizing Bioethanol Production Using Design Of Experiments For Sustainable Biofuel Development, Hussein M. Hussein, Yahya H. Shahin, Ihab A. Moneam
Almaaqal Journal of Sustainability and Emerging Technology
This study presents a statistically optimal approach for bioethanol production from sugarcane bagasse (SCB) using alkaline pretreatment, enzymatic hydrolysis, and fermentation processes. To maximize cellulose yield, four extraction parameters—solvent type, concentration, temperature, and time—were optimized using a Taguchi statistical model. The Taguchi-optimized extraction yields 11.3% increased cellulose recovery relative to cellulose recovered via non-optimized extraction methods (i.e., alkaline treatment with 6% NaOH at 90 °C for 3 hours). This yielded 45.20% cellulose (w/w), with 37.80% weight loss (predicted weight loss was 36.94%). Statistical analysis of extraction results verified solvent type (p = 0.0022) and temperature (p = 0.0007) to be …
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.
Mechanisms Underlying Sodium Enrichment In Coals In The Dananhu Mining Area, Turpan-Hami Basin, Qi Zhenghui, Sun Fanxing, Wang Wenlong, Huang Chunhui, Liang Kaihua, Huang Yangyang, Shao Longyi
Mechanisms Underlying Sodium Enrichment In Coals In The Dananhu Mining Area, Turpan-Hami Basin, Qi Zhenghui, Sun Fanxing, Wang Wenlong, Huang Chunhui, Liang Kaihua, Huang Yangyang, Shao Longyi
Coal Geology & Exploration
Background The Dananhu mining area boasts abundant coal resources, serving as a significant coal-fired power generation base in Xinjiang, China. However, the high sodium (Na) content in coals within the mining area tends to cause fouling and slagging during coal combustion, severely affecting the clean and efficient utilization of coal resources in the area. Methods and Results epresentative samples collected from the major mineable coal seams were subjected to proximate and ash-composition analyses. The analytical results show that the coal samples had low ash and sulfur contents and high volatile content. SiO2 predominated in the ash components, followed by …
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 …
State Of California Cannabis Reporting, University Of Mississippi – National Center For Cannabis Research And Education
State Of California Cannabis Reporting, University Of Mississippi – National Center For Cannabis Research And Education
California
No abstract provided.
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, …
Novel Spectrophotometric Method For The Determination Of Paclitaxel Through Complex Formation With Osmium, Basima A.A.Saleem, Salim A. Mohammed, Amer Th. Al-Taee
Novel Spectrophotometric Method For The Determination Of Paclitaxel Through Complex Formation With Osmium, Basima A.A.Saleem, Salim A. Mohammed, Amer Th. Al-Taee
Turkish Journal of Chemistry
Paclitaxel (Pac) is an important anticancer bioactive compound, and the availability of an accurate and robust analytical method for its quantification is of utmost importance. In this investigation, a novel, direct, and reliable spectrophotometric method has been proposed for the estimation of Pac via a complex formation reaction with osmium (Os). The method was based on the reaction of Pac with Os tetroxide, which produced a yellowish-brown complex. The resulting complex is soluble in water and displays a maximum absorption peak at 482 nm. The reaction conditions, including reactant concentration, pH, temperature, and reaction time, were optimized to obtain the …
Synthesis, Characterization, Antimicrobial, Antioxidant, And Antiinflammatory Evaluation And Molecular Docking Studies Of N-((2-Hydroxy-3-(2-(Substitutedbenzylidene)Hydrazine-1-Carbonyl)Naphthalen-1-Yl)(3-Nitrophenyl/3,4-Dimethoxyphenyl)Methyl)Acetamide Derivatives, Shikha Kamboj, Alka Yadav, Samridhi Thakral, Rekha Tanwar, Sunil Kumar, Vikramjeet Singh
Synthesis, Characterization, Antimicrobial, Antioxidant, And Antiinflammatory Evaluation And Molecular Docking Studies Of N-((2-Hydroxy-3-(2-(Substitutedbenzylidene)Hydrazine-1-Carbonyl)Naphthalen-1-Yl)(3-Nitrophenyl/3,4-Dimethoxyphenyl)Methyl)Acetamide Derivatives, Shikha Kamboj, Alka Yadav, Samridhi Thakral, Rekha Tanwar, Sunil Kumar, Vikramjeet Singh
Turkish Journal of Chemistry
Hydrazone chemistry has become important and plays a key role in the development of organic compounds. Hydrazones can be useful pharmacophores for creating novel derivatives, owing to their broad range of activities. In this study, a series of N-((2-hydroxy-3-(2-(substitutedbenzylidene)hydrazine-1-carbonyl)naphthalen-1-yl)(3-nitro-phenyl/3,4-dimethoxyphenyl)methyl)acetamide derivatives were prepared, characterized by FTIR, 1H-NMR, 13C-NMR, and mass spectroscopy, and evaluated for their antimicrobial, antiinflammatory, and antioxidant activities along with in silico studies. The substituted derivatives were synthesized by the reaction of acetonitrile, chlorosulphonic acid, and substituted benzaldehyde with the hydrazones. The antimicrobial evaluation showed that compound 3i had more antimicrobial potential than the other tested molecules. Compound 3j …
Enhancing Analytical Performance Of Tyrosinase-Based Sensors With Nanoparticles For Detection Of Isoproterenol, Aysel Oktay, Sevi̇nç Kurbanoğlu, Gülsüm Gündoğdu, Cem Bülent Üstündağ, Frieder W. Scheller, Aysu Yarman
Enhancing Analytical Performance Of Tyrosinase-Based Sensors With Nanoparticles For Detection Of Isoproterenol, Aysel Oktay, Sevi̇nç Kurbanoğlu, Gülsüm Gündoğdu, Cem Bülent Üstündağ, Frieder W. Scheller, Aysu Yarman
Turkish Journal of Chemistry
In this work, electrochemical biosensors utilizing tyrosinase (Tyr) for the detection of the nonselective beta-adrenergic agonist isoproterenol (ISO) are presented. Three different configurations for immobilizing Tyr on a graphite electrode (GE) are compared: (1) GE modified with poly(diallyldimethylammonium chloride) (PDADMAC), PDADMAC/Tyr/GE; (2) PDADMAC combined with iridium nanoparticles (IrNPs) in a stepwise preparation, resulting in PDADMAC/IrNPs/Tyr/GE; and (3) a composite of PDADMAC and IrNPs mixed with Tyr at a 1:1 (v:v), forming PDADMAC/(IrNPs-Tyr)/GE. Surface morphology was characterized using scanning electron microscopy (SEM). Cyclic voltammetry (CV) and amperometry were applied to characterize the biosensor’s performance. Within the linear range of 5 μM …
Utilization Of Dual Catalysts For High-Yield Boron Nitride Nanotube Synthesis Via Chemical Vapor Deposition, Şaban Kalay
Utilization Of Dual Catalysts For High-Yield Boron Nitride Nanotube Synthesis Via Chemical Vapor Deposition, Şaban Kalay
Turkish Journal of Chemistry
The direct synthesis of boron nitride nanotubes (BNNTs) via chemical vapor deposition (CVD) in high-temperature furnaces remains highly challenging due to difficulties in optimizing key experimental parameters such as synthesis temperature and catalyst composition. These challenges often result in uncontrolled growth behavior, adversely affecting the quality and yield of the BNNTs. In this study, colemanite was effectively utilized as a boron source for the high-yield synthesis of directionally aligned BNNTs. The synthesis was carried out using a CVD method that used a dual-catalyst system comprising Fe2O3 and MgO in conjunction with a silicon carbide template under high-temperature conditions. The resulting …
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 …
Benign Small Bowel Pneumatosis Intestinalis: Report Of A Rare Adverse Effect Of Tirzepatide, Kenneth Newcomer, Hani Soudah, Michael Beal, Thoi H Ngo
Benign Small Bowel Pneumatosis Intestinalis: Report Of A Rare Adverse Effect Of Tirzepatide, Kenneth Newcomer, Hani Soudah, Michael Beal, Thoi H Ngo
2020-Current year OA Pubs
No abstract provided.
Real-World Outcomes Of Talimogene Laherparepvec As Salvage Therapy For Advanced Melanoma, Melissa M Yamada, Smitha Chandrasekhar, Ted A Gooley, Rita E Chen, Coley Doolittle-Amieva, George Ansstas, Shailender Bhatia, Evan T Hall, Paul T Nghiem, Song Y Park, David Y Chen
Real-World Outcomes Of Talimogene Laherparepvec As Salvage Therapy For Advanced Melanoma, Melissa M Yamada, Smitha Chandrasekhar, Ted A Gooley, Rita E Chen, Coley Doolittle-Amieva, George Ansstas, Shailender Bhatia, Evan T Hall, Paul T Nghiem, Song Y Park, David Y Chen
2020-Current year OA Pubs
BACKGROUND: Talimogene laherparepvec (T-VEC) is an oncolytic herpes simplex virus therapy approved for treatment of unresectable and metastatic melanoma. However, real-world use often occurs in heavily pretreated patients, where evidence of effectiveness remains limited. This study evaluates treatment responses and clinical factors influencing T-VEC outcomes in patients with diverse treatment histories.
METHODS: We analyzed patients with metastatic melanoma treated with T-VEC between 2015 and 2024. Objective responses (OR), complete response (CR) and partial response were assessed using univariate and multivariate Cox regression models. Durability of responses, progression-free survival (PFS), and overall survival (OS) were evaluated using Kaplan-Meier estimates.
RESULTS: Among …
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 …
New Development Of The Neutrosophic Fuzzy Soft Set Framework Using Several Aggregation Operator Techniques, Ahmad A. Abubaker, Abdallah Al-Husban, R. Uma
New Development Of The Neutrosophic Fuzzy Soft Set Framework Using Several Aggregation Operator Techniques, Ahmad A. Abubaker, Abdallah Al-Husban, R. Uma
Neutrosophic Sets and Systems
No abstract provided.
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 …
Evaluating The Effect Of Ethnicity And Amyloid On Gait Speed In The Healthy Aging Brain Study-Health Disparities Study, Alexandra M. Reed, Andrew Hooyman, Edward Ofori, Sydney Y. Schaefer
Evaluating The Effect Of Ethnicity And Amyloid On Gait Speed In The Healthy Aging Brain Study-Health Disparities Study, Alexandra M. Reed, Andrew Hooyman, Edward Ofori, Sydney Y. Schaefer
Physical Therapy Faculty Articles and Research
Background
Many novel Alzheimer's disease (AD) biomarkers have been studied in non-Hispanic White populations, despite Hispanic/Latino adults being 1.5 times more likely to develop AD and receiving a later diagnosis. Equitable, accessible assessments are needed to identify individuals at risk earlier. While cognitive screening monitors early AD signs, neuropsychological tests are often inequitable across ethnicity, race, and other social determinants of health. However, we have shown that performance-based motor assessments may be less susceptible to demographic factors than memory tests, and may be more equitable for screening older adults. Gait speed has been linked to elevated amyloid in non-Hispanic White …
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 …
Braingenebot: A Gpt-Engineered, User-Driven Genetic Data Exploration With Polygenic Risk Scores Ranking In Alzheimer’S Disease, Guan Ou, Zhongming Zhao
Braingenebot: A Gpt-Engineered, User-Driven Genetic Data Exploration With Polygenic Risk Scores Ranking In Alzheimer’S Disease, Guan Ou, Zhongming Zhao
Faculty, Staff and Student Publications
Background
Polygenic risk scores (PGSs) aggregate the effects of multiple genetic variants to attribute to disease susceptibility, and have been applied to numerous complex diseases including Alzheimer's disease (AD). However, as omics and phenotypic data grow exponentially, reconciling findings across studies with differing ancestral backgrounds, study designs, and statistical methodologies remains a pressing issue. Efficiently extracting biologically relevant insights from this expanding body of data is equally challenging, especially for diseases driven by complex interactions among genetic, environmental, and lifestyle factors.
Method
To address these challenges, we introduce BrainGeneBot, an AI‐driven chatbot framework that automates genetic data analysis and bridges …
Sustainability Analysis In Agriculture Using Linguistic Pythagorean Neutrosophic Number Through Einstein Aggregation Operators, S. Annadurai, R. Sundareswaran, M. Mohanalakshmi
Sustainability Analysis In Agriculture Using Linguistic Pythagorean Neutrosophic Number Through Einstein Aggregation Operators, S. Annadurai, R. Sundareswaran, M. Mohanalakshmi
Neutrosophic Sets and Systems
No abstract provided.
Soft Set Models Applied To Pattern Recognition Via 3-Valued Extension Of Neutrosophic Soft Sets, Ahmad A. Abubaker, M. Palanikumar
Soft Set Models Applied To Pattern Recognition Via 3-Valued Extension Of Neutrosophic Soft Sets, Ahmad A. Abubaker, M. Palanikumar
Neutrosophic Sets and Systems
No abstract provided.
Complex Pentapartitioned Neutrosophic Aggregation Operators With An Application In The Selection Of Millets For Cultivation, Porchudar T, Ajay D
Complex Pentapartitioned Neutrosophic Aggregation Operators With An Application In The Selection Of Millets For Cultivation, Porchudar T, Ajay D
Neutrosophic Sets and Systems
No abstract provided.
Reliability Assessment Of Refined Single-Valued Neutrosophic Data With Application In Multi-Criteria Decision-Making, Ankita Ankita, Deepak Kumar
Reliability Assessment Of Refined Single-Valued Neutrosophic Data With Application In Multi-Criteria Decision-Making, Ankita Ankita, Deepak Kumar
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.
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.
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 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.