Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (14836)
- Computer Sciences (10548)
- Computer Engineering (7633)
- Chemistry (6859)
- Mathematics (6749)
-
- Environmental Sciences (6045)
- Social and Behavioral Sciences (5691)
- Earth Sciences (5278)
- Life Sciences (5028)
- Electrical and Computer Engineering (4997)
- Artificial Intelligence and Robotics (4688)
- Operations Research, Systems Engineering and Industrial Engineering (4057)
- Numerical Analysis and Scientific Computing (4007)
- Systems Science (3935)
- Physics (3121)
- Sustainability (2804)
- Statistics and Probability (2722)
- Education (2643)
- Materials Science and Engineering (2574)
- Physical Chemistry (2462)
- Oil, Gas, and Energy (2222)
- Materials Chemistry (2152)
- Mining Engineering (2082)
- Engineering Science and Materials (1793)
- Science and Mathematics Education (1639)
- Arts and Humanities (1623)
- Medicine and Health Sciences (1566)
- Applied Mathematics (1372)
- Power and Energy (1320)
- Institution
-
- TÜBİTAK (10730)
- China Simulation Federation (3924)
- Chinese Chemical Society | Xiamen University (2395)
- China Coal Technology and Engineering Group (CCTEG) (1822)
- University of South Florida (1514)
-
- Claremont Colleges (1327)
- Chulalongkorn University (1245)
- Wayne State University (1095)
- Prairie View A&M University (1094)
- University of Dar es Salaam (780)
- Denison University (756)
- Brigham Young University (711)
- University of Northern Iowa (707)
- Louisiana State University (690)
- University of Arkansas, Fayetteville (663)
- Embry-Riddle Aeronautical University (640)
- Universitas Indonesia (587)
- Changsha University of Science and Technology (570)
- Chinese Academy of Sciences (536)
- Department of Primary Industries and Regional Development, Western Australia (495)
- University of Minnesota Morris Digital Well (446)
- Virginia Commonwealth University (427)
- University of Montana (413)
- Ministry of Higher and Secondary Specialized Education of the Republic of Uzbekistan (406)
- National Taiwan Ocean University (390)
- Neutrosophic Systems with Applications (385)
- Thomas Jefferson University (383)
- Karbala International Journal of Modern Science (342)
- MMU Press (252)
- University of Tennessee, Knoxville (244)
- Keyword
-
- Physical Sciences (401)
- Western Australia (344)
- Outdoor education (230)
- Simulation (218)
- Deep learning (196)
-
- Machine learning (190)
- Numerical simulation (189)
- Mathematics (180)
- Stability (155)
- Climate change (133)
- Genetic algorithm (130)
- Machine Learning (129)
- Sustainability (128)
- Optimization (127)
- Artificial intelligence (123)
- Classification (119)
- Environment (118)
- Colinus virginianus (113)
- Turkey (112)
- Cybersecurity (110)
- Cyclic voltammetry (110)
- COVID-19 (109)
- Northern bobwhite (109)
- 1 (105)
- Adsorption (102)
- Mathematics and Computational Sciences (102)
- 2 (95)
- Particle swarm optimization (93)
- Electrochemistry (91)
- Conservation (90)
- Publication Year
- Publication
-
- Journal of System Simulation (3924)
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Turkish Journal of Chemistry (2730)
- Turkish Journal of Mathematics (2595)
- Journal of Electrochemistry (2395)
-
- Coal Geology & Exploration (1822)
- Turkish Journal of Physics (1382)
- Journal of Modern Applied Statistical Methods (1093)
- Applications and Applied Mathematics: An International Journal (AAM) (1088)
- Thai Environment (1027)
- Turkish Journal of Earth Sciences (917)
- International Journal of Speleology (909)
- The Synapse: Intercollegiate science magazine (756)
- Journal of Humanistic Mathematics (734)
- Journal of the Iowa Academy of Science: JIAS (701)
- Journal of Undergraduate Research (693)
- Tanzania Journal of Science (578)
- Journal of China & Foreign Highway (570)
- Journal of the Arkansas Academy of Science (564)
- Bulletin of Chinese Academy of Sciences (Chinese Version) (536)
- Journal of Digital Forensics, Security and Law (536)
- Journal of the Department of Agriculture, Western Australia, Series 4 (473)
- Communications on Stochastic Analysis (429)
- Journal of Mathematics and Science: Collaborative Explorations (426)
- Humanistic Mathematics Network Journal (415)
- The Mathematics Enthusiast (411)
- Journal of Marine Science and Technology–Taiwan (390)
- Neutrosophic Systems with Applications (385)
- Journal of the Minnesota Academy of Science (381)
- Sci-Tech News (357)
- File Type
Articles 331 - 360 of 43067
Full-Text Articles in Physical Sciences and Mathematics
Comparative Antibacterial Efficacy Of Hot Vs. Cold Aqueous Saussurea Costus Root Extracts Against Streptococcus Mutans, Fatima Adil Mohammed Hussien, Ahlam Taha Mohammed
Comparative Antibacterial Efficacy Of Hot Vs. Cold Aqueous Saussurea Costus Root Extracts Against Streptococcus Mutans, Fatima Adil Mohammed Hussien, Ahlam Taha Mohammed
Karbala International Journal of Modern Science
The present in vitro study assessed the antibacterial efficacy of aqueous root extracts prepared using hot and cold extraction methods of Saussurea costus against Streptococcus mutans isolates. Based on antibacterial screening results, the hot extract, which demonstrated greater antibacterial activity, was selected for subsequent cytotoxicity assessment. Cold and hot aqueous extracts were subjected to phytochemical screening, and phenolic acids and flavonoids were quantitatively assessed using High-Performance Liquid Chromatography. Antibacterial efficacy was evaluated using a resazurin-based microdilution technique to assess the minimum inhibitory concentration, followed by subculture to determine the minimum bactericidal concentration, and an agar well diffusion assay. Cytotoxicity of …
Enviromental Burden And Financial Performance Of Manufacturing Companies On Borsa Istanbul: An Exploratory Circular-Economy-Aligned Assessment Using The Aroman Method, Sibel Fettahoglu, Ejder Ayçin, Büşra Karslı Günay
Enviromental Burden And Financial Performance Of Manufacturing Companies On Borsa Istanbul: An Exploratory Circular-Economy-Aligned Assessment Using The Aroman Method, Sibel Fettahoglu, Ejder Ayçin, Büşra Karslı Günay
Journal of Environmental Science and Sustainable Development
Türkiye's 2053 net-zero emissions target and the critical role of the manufacturing sector in this process necessitate an urgent examination of the financial impacts of circular economy (CE) practices. This study provides an exploratory analysis of the relationship between environmental burden and financial performance using 2023 data from 26 manufacturing companies in Borsa Istanbul. Given the difficulty of measuring holistic circularity at the company level, this study operationalizes the environmental dimension of circular economy performance using selected environmental burden indicators, including energy and water consumption, greenhouse gas emissions, and waste generation. The study uses the alternative ranking order method accounting …
A Viable Energy-Saving Solution For Sustainable Development: High-Efficiency Electric Motors Lspmsm, Le Anh Tuan, Do Nhu Y, Nguyen Thi Lan
A Viable Energy-Saving Solution For Sustainable Development: High-Efficiency Electric Motors Lspmsm, Le Anh Tuan, Do Nhu Y, Nguyen Thi Lan
Journal of Environmental Science and Sustainable Development
In the context of sustainable development, energy-efficient conversion technologies play an important role in reducing energy consumption and minimizing environmental impact. High-efficiency line-start permanent-magnet synchronous motors (LSPMSM) have emerged as a promising alternative to conventional motors. This study investigates the potential of LSPMSM as a viable solution for sustainable industrial development. An integrated approach combining motor design optimization, performance analysis, and environmental impact assessment is applied to evaluate the benefits of replacing conventional low-efficiency IE1 squirrel-cage induction motors (SCIM) with the proposed solution. A proposed step-skewed permanent magnet (PM) configuration of LSPMSM 2.2 kW, 4 poles is introduced. The proposed …
Legal Shifts And Judicial Inconsistencies In Strict Liability After The Omnibus Law: A Critical Analysis Of Indonesian Environmental Law For Responsible Mining And Esg Compliance, Nurul Listiyani, Khenza Atthaya Namira Yulianto
Legal Shifts And Judicial Inconsistencies In Strict Liability After The Omnibus Law: A Critical Analysis Of Indonesian Environmental Law For Responsible Mining And Esg Compliance, Nurul Listiyani, Khenza Atthaya Namira Yulianto
Journal of Environmental Science and Sustainable Development
The legal significance of strict liability in mining arises from the sector’s capacity to generate technically complex, diffuse, and long-latency environmental harm that is difficult to address through fault-based litigation alone. This study aims to evaluate how the post-Omnibus Law reformulation of Article 88 of Law No. 32 of 2009 has affected the doctrinal autonomy, judicial consistency, and practical enforcement of strict liability in Indonesian environmental law. The research used normative doctrinal legal research including statutory, case-law, conceptual, comparative, and evaluative analyses. The data cover the 2009–2025 period and consist of two core statutory formulations of Article 88, the Job …
Shrinkage Of Jupiter's Great Red Spot, Richard W. Schmude Jr.
Shrinkage Of Jupiter's Great Red Spot, Richard W. Schmude Jr.
Georgia Journal of Science
This report summarizes changes in Jupiter's Great Red Spot (GRS) on the multi-decade time scale. The mean shrinkage rates for 1960-2016 are 0.21 degrees/year (east-west) and 0.52 degrees/year (north-south). The east-west shrinkage rate is much higher than the corresponding value for Oval BA. Between 1878 and 2026, the GRS area shrunk by over a factor of four with a mean annual shrinkage rate of 1.0 %. The GRS quotient (east-west length in degrees longitude divided by north-south length in degrees latitude) has decreased. This is consistent with the GRS becoming more circular with time. This is different than Oval BA, …
The Fragmentation Of Helcar: A Paratethyan Model For Rhûn, Núrnen And The Dead Marshes, Federico Manzoni
The Fragmentation Of Helcar: A Paratethyan Model For Rhûn, Núrnen And The Dead Marshes, Federico Manzoni
Journal of Tolkien Research
This work proposes a conjectural paleogeographic model linking the Sea of Rhûn, Núrnen and the Dead Marshes to the former Sea of Helcar. Beginning from Christopher Tolkien's suggestion that Rhûn may represent Helcar ``vastly shrunken,'' the study combines textual evidence, the Ambarkanta, Fonstad's cartographic reconstructions, and terrestrial analogues drawn from the evolution of the Paratethys, the Messinian Salinity Crisis and other endorheic basins. Helcar is interpreted not merely as an isolated body of deep water but as the centre of a broader hydrological province subsequently partitioned by relief change, sedimentary infilling, basin isolation and drainage reorganization. Within this model, Rhûn …
Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine
Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine
Military Cyber Affairs
Ransomware represents one of the most disruptive threats in the cyber landscape, yet hands-on malware analysis remains rare in undergraduate cybersecurity curricula. This paper presents the design, implementation, and evaluation of an experiential learning module centered on the WannaCry ransomware case study, deployed in a senior-level course at West Virginia University. Students performed static and dynamic analysis using industry-standard tools. Pre- and post-module assessments demonstrated measurable gains in self-reported competency across seven technical dimensions. The module's competencies align directly with DoD Cyber Workforce Framework Work Role 212, Cyber Defense Forensics Analyst, supporting education-to-workforce pipeline development.
From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder
From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder
Military Cyber Affairs
Federal agencies face a fiscal year 2027 target for enterprise-wide Zero Trust deployment, but NIST SP 800-207A defines logical components without identifying the Kubernetes technologies that implement them. This paper proposes a three-tier mapping of the Policy Engine, Policy Administrator, and Policy Enforcement Point to service mesh, microsegmentation, and perimeter tooling, stating the criteria by which each component is classified. It then applies a defined rubric to six Zero Trust vendors across component alignment, Kubernetes capability, federal authorization posture, and evidence quality, finding that no single vendor covers all three tiers. The mapping is a testable architectural proposition; a Stage …
Characterizing Advanced Persistent Threats With Cyber Attack Flow Metrics, Tyler Miller, Caleb Chang, Shouhuai Xu
Characterizing Advanced Persistent Threats With Cyber Attack Flow Metrics, Tyler Miller, Caleb Chang, Shouhuai Xu
Military Cyber Affairs
Cyber attack campaigns vary not only in scale but in structure, yet conventional characterizations often reduce them to a single dimension such as technique count or impact severity. In this paper we extend the concept of cyber attack flows by defining three new metrics, novelty, technique complexity and flow complexity. Then we characterize the attack flows of three advanced persistent threat campaigns using these metrics and draw insights regarding their capabilities. Our findings include that low novelty does not equate to low attack capabilities and that exploitation of an internet-facing appliance is a common initial attack vector.
Semantic Shields: Automating Critical Infrastructure Defense Via Nlp-Driven Ransomware Profiling, Henry Trowbridge, Ian Zalcberg, Ryan Schley, Carter Yagemann, Natasha Phan, Srikar Maduposu, Vimal Buck
Semantic Shields: Automating Critical Infrastructure Defense Via Nlp-Driven Ransomware Profiling, Henry Trowbridge, Ian Zalcberg, Ryan Schley, Carter Yagemann, Natasha Phan, Srikar Maduposu, Vimal Buck
Military Cyber Affairs
Ransomware poses a growing threat to critical infrastructure, where successful attacks can disrupt operational technology (OT) and industrial control systems (ICS) with significant public safety consequences. However, attributing ransomware incidents to specific threat actors remains challenging due to ransomware-as-a-service ecosystems, actor rebranding, and the obfuscation of traditional indicators of compromise. This paper presents Semantic Shields, an NLP-driven attribution framework that leverages BERT-generated semantic embeddings and DBSCAN clustering to profile ransomware actors through the linguistic characteristics of ransom notes. Using a dataset of 295 ransom notes from 189 distinct threat groups, the framework achieved an 87.2% true positive clustering rate and …
Closing The Interpretability Gap: Explainable Ml-Based Malware Detection For Defensive Cyberspace Operations, Tashi Stirewalt, Sean Hodgson, Puumaaya Tahiru, Assefaw Gebremedhin
Closing The Interpretability Gap: Explainable Ml-Based Malware Detection For Defensive Cyberspace Operations, Tashi Stirewalt, Sean Hodgson, Puumaaya Tahiru, Assefaw Gebremedhin
Military Cyber Affairs
This paper presents an end-to-end, explainable malware triage pipeline designed for defense-oriented cyber operations. It combines high-performance static detection methods with analyst-centered interpretability. Utilizing the EMBER 2024 Windows PE subset, we train and evaluate four classifiers and select LightGBM as the production model based on its predictive performance, inference efficiency, and compatibility with exact tree-based attribution. The deployed system consists of four sequential components: PE feature extraction, malware probability scoring, dual explainability (using SHAP and LIME), and large language model (LLM) report generation, all integrated within a Flask web interface. On a temporal test set of 1,080,000 samples, LightGBM achieves …
Raman Spectroscopy Characterisation Of 5c Potency Of Homoeopathic Drugs Nux Vomica, Thuja Occidentalis And Nitricum Acidum, Alfonso Tramontana, Giuseppe Acri, Lucia Denaro, Massimo Mattozzi, Maria Antonietta D'Avanzo, Barbara Testagrossa
Raman Spectroscopy Characterisation Of 5c Potency Of Homoeopathic Drugs Nux Vomica, Thuja Occidentalis And Nitricum Acidum, Alfonso Tramontana, Giuseppe Acri, Lucia Denaro, Massimo Mattozzi, Maria Antonietta D'Avanzo, Barbara Testagrossa
Indian Journal of Research in Homoeopathy
Background: The physicochemical characterisation of homoeopathic medicines remains a challenge. Raman spectroscopy is a promising tool for identifying structural modifications in the solvent matrix and specific vibrational ``fingerprints'' induced by the potentisation process. Objective: This study aimed to characterise three remedies (Nux vomica, Thuja occidentalis, and Nitricum acidum - 5C potencies) using Raman spectroscopy to identify specific vibrational markers and evaluate the technique's ability to differentiate between different preparations within a complex matrix. Materials and methods: The drugs were analysed as crushed granules (solid state) and after dissolution in betamethasone disodium phosphate (liquid state). Raman spectroscopy was …
Sustainable Development Of National Park Communities In China: Conditions, Challenges, And Implementation Paths, Baorong Huang, Xuetian Hu, Ling Tang, Zhi Wang, Zhi Zhang
Sustainable Development Of National Park Communities In China: Conditions, Challenges, And Implementation Paths, Baorong Huang, Xuetian Hu, Ling Tang, Zhi Wang, Zhi Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Promoting the sustainable development of communities in national parks is essential to the high-quality construction of the world’s largest national park system in China. Drawing on systematic social surveys of communities within national parks and candidate areas, this study outlines the key characteristics of these communities and analyzes their current development status, challenges, and constraints. It proposes a fivefold approach to advancing sustainability. Namely, (1) conceptually, by establishing a theoretical and cognitive framework for human–nature coexistence and overcoming antagonistic perceptions between parks and communities; (2) strategically, by fostering model villages and green development zones led by communities; (3) institutionally, by …
Construction And Application Of Clinical Evidence Framework For Brain-Computer Interface, Wenxiu Qi, Cheng Zhou
Construction And Application Of Clinical Evidence Framework For Brain-Computer Interface, Wenxiu Qi, Cheng Zhou
Bulletin of Chinese Academy of Sciences (Chinese Version)
Brain-computer interface systems are emerging neurotechnologies that are gradually moving from laboratory research toward clinical application. However, their inherent features, including small sample sizes, heterogeneous technical pathways, and rapid product iteration, make it difficult to integrate safety and efficacy data across studies or to conduct meaningful cross-study comparisons. These challenges not only hinder the cumulative development of evidence in evidence-based medicine, but also complicate the assessment of clinical access and regulatory review. In addition, subjective evidence, such as patient experience, remains insufficiently captured in existing evaluation frameworks. It is therefore necessary to examine the structure of evidence for brain-computer interface …
On-Device Computing Systems For Embodied Ai: Current Research Status And Strategic Directions, Shaoshan Liu, Zhenhua Zhu, Yiming Gan, Yu Wang, Yuan Xie
On-Device Computing Systems For Embodied Ai: Current Research Status And Strategic Directions, Shaoshan Liu, Zhenhua Zhu, Yiming Gan, Yu Wang, Yuan Xie
Bulletin of Chinese Academy of Sciences (Chinese Version)
Embodied AI is emerging as a key paradigm empowering general-purpose autonomy, but it requires on-device computing systems that simultaneously support high-throughput “cognition–planning” tasks and millisecond-level real-time “perception–control” loops. Converging solutions now coalesce around three pillars: (1) dataflow- and chiplet-based architectures, (2) memory-centric heterogeneous dies, and (3) RISC-V customizable cores with open tool-chains. This study distills the latest technical progress, pinpoints the remaining core technical bottlenecks, and charts an actionable course for academia, industry, and policymakers. The study calls for unified benchmarking and standardization, open-source software–hardware ecosystems, memory-centric dataflow architectures, and efficient on-device deployment of embodied foundation models. Finally, it outlines …
Selective Citation: The Systematic Omission Of Established Regional Literature, İrem Eli̇tez
Selective Citation: The Systematic Omission Of Established Regional Literature, İrem Eli̇tez
Turkish Journal of Earth Sciences
No abstract provided.
Integrated Assessment Of Groundwater Quality And Human Health Risks In A Semiarid Region Of Kemaliye (Türkiye), Veli̇ Keski̇n, Celaletti̇n Şi̇mşek
Integrated Assessment Of Groundwater Quality And Human Health Risks In A Semiarid Region Of Kemaliye (Türkiye), Veli̇ Keski̇n, Celaletti̇n Şi̇mşek
Turkish Journal of Earth Sciences
In this study, the hydrochemical characteristics, drinking water suitability, and potential human health risks of groundwater in the Karapınar region (Kemaliye, Erzincan, Türkiye), which has become a critical drinking water resource due to drought associated with climate change and the depletion of surface water resources, were investigated using an integrated multiparameter approach. Within the scope of the study, a total of 18 water samples, comprising 13 spring water samples and 5 groundwater samples obtained from wells, were collected during the dry season (October 2021) and analyzed for major ions, physicochemical parameters, nitrate, and trace elements. The suitability of the samples …
Signals In The Ionosphere Ahead Of Tsunami Arrival, Svetlana Riabova, Sergey Shalimov
Signals In The Ionosphere Ahead Of Tsunami Arrival, Svetlana Riabova, Sergey Shalimov
Turkish Journal of Earth Sciences
We consider the impact of the tsunami propagating after the earthquake in Tohoku on the ionosphere according to measurements from the Hawaiian Islands, i.e., at a fairly large distance from the epicenter of the earthquake. These measurements, taken at a tidal tsunami monitoring station, at a magnetometric station, and by GPS, were used to record the arrival of the tsunami. We experimentally establish that the arrival of atmospheric waves generated by the tsunami significantly advanced the arrival of sea waves at the observation point, and this advance from one source was recorded in both the lower and upper ionosphere. Attention …
Editorial Note To The Article “Identification Of A Previously Unrecognized Listric Fault Beneath The Acıpayam Graben: Insights From Integrated Dinsar And Field Observations” [Turkish Journal Of Earth Sciences 35 (1) 2026 20-41], Orhan Tatar
Turkish Journal of Earth Sciences
No abstract provided.
Possible Fluid Contributions From Active Faults To Mercury Distribution In Surface Sediments Of The Gemlik Gulf And Health Risk Assessment, Erol Sari, M. Namik Çağatay, Tuğçe Nagi̇han Arslan Kaya, Zeynep Çeti̇n, Nuray Çağlar
Possible Fluid Contributions From Active Faults To Mercury Distribution In Surface Sediments Of The Gemlik Gulf And Health Risk Assessment, Erol Sari, M. Namik Çağatay, Tuğçe Nagi̇han Arslan Kaya, Zeynep Çeti̇n, Nuray Çağlar
Turkish Journal of Earth Sciences
The Gemlik Gulf, located in the eastern part of the Sea of Marmara (Türkiye), is recognized as a relatively contaminated marine environment, influenced by a variety of natural and anthropogenic inputs. A comprehensive geochemical study was performed to examine the distribution of total mercury (THg) in surface sediments and to elucidate the possible sources contributing to its accumulation. The analysis revealed that THg concentrations ranged from 485 to 6486 ng/g, with all measured values substantially exceeding the average shale background concentration of 400 ng/g, indicating significant enrichment. According to sediment quality guidelines, none of the samples exceeded the effects range …
Paleoecology Of Loftusia Species (Large Benthic Foraminifera) In The Zagros Basin, North Of The Neotethys, Hossein Ghanbarloo, Amrollah Safari
Paleoecology Of Loftusia Species (Large Benthic Foraminifera) In The Zagros Basin, North Of The Neotethys, Hossein Ghanbarloo, Amrollah Safari
Turkish Journal of Earth Sciences
Paleoecological analyses based on the wall structure of the genus Loftusia were carried out in the Maastrichtian deposits of seven outcrops of the Zagros Basin. Two types of particles are present within the wall structure: (1) tiny fossil grains and (2) detrital grains. Tiny fossil grains consist of smaller foraminifera and other small microorganism tests. Foraminiferal tests are associated with miliolid, textulariid, and rotaliid forms. Detrital grains include intraclasts and extraclasts. The presence of different particles in the test wall of this genus and the abundance of this genus in nutrient-rich conditions indicate that Loftusia are probably opportunistic foraminifera. This …
Neoproterozoic Uranium-Mineralized Sedimentary Rocks From The Kaladgi Basin, Dharwar Craton, Southwestern India: Source And Transport Mechanism Of Uranium, Ponnalagu Govindaraj, Arumugam Shanmugasundaram, Sooriamuthu Ramasamy, Muthusamy Ravichandran
Neoproterozoic Uranium-Mineralized Sedimentary Rocks From The Kaladgi Basin, Dharwar Craton, Southwestern India: Source And Transport Mechanism Of Uranium, Ponnalagu Govindaraj, Arumugam Shanmugasundaram, Sooriamuthu Ramasamy, Muthusamy Ravichandran
Turkish Journal of Earth Sciences
The Kaladgi Basin of the Dharwar Craton, southeast India, hosts Proterozoic unconformity-related uranium (U) mineralization controlled by faulted contacts between Archean basement and Proterozoic cover sediments. To understand the ore-forming processes, 25 core samples from the Cave Temple Arenite were analyzed using whole-rock geochemistry and fluid inclusion microthermometry. U concentrations reach up to 0.13% U3O8 in the basal arenite and lower conglomerate, whereas the basement schist records only 0.0017% U. Whole-rock data reveal high SiO2 contents (72–97 wt.%), variable Al2O3 (0.4–12.9 wt.%), and enrichments in U (0.38–6.63 ppm), Th (1.5–13.7 ppm), and trace elements such as Cu, Pb, and Ni …
Citation Scope And Scientific Relevance In An Event-Based Seismotectonic Study: Reply To The Comment By Elitez On Eski (2026), Semi̇h Eski̇
Citation Scope And Scientific Relevance In An Event-Based Seismotectonic Study: Reply To The Comment By Elitez On Eski (2026), Semi̇h Eski̇
Turkish Journal of Earth Sciences
No abstract provided.
Statistical Triangulation: Weighing Multiple Statistical Tools In Macro-Level Housing Research, Julio Montanez, Amy Donley, Jacquelyn Reiss
Statistical Triangulation: Weighing Multiple Statistical Tools In Macro-Level Housing Research, Julio Montanez, Amy Donley, Jacquelyn Reiss
Journal of Applied Disciplines
Homelessness and housing research has a detection problem, in which understanding housing issues (e.g., substandard housing) is plagued by problems like undercounting and incomplete data. To partially compensate for these pitfalls, the current research engages in an exercise aiming to sharpen the statistical approach to homelessness and housing research. The macro-level sample included Florida’s 27 Continuums of Care geographies (composed of one or more Florida counties). The dependent variables were sheltered homelessness, energy-based substandard housing, and plumbing-based substandard housing. The independent variables were misdemeanor partner violence rates, felony partner violence rates, high school non-completion rates, urbanicity, and population burdens of …
The Fossil Pearls Of The Million-Pearls Flowstone, Fairgrounds Room, Fort Stanton Cave, New Mexico Usa, Victor J. Polyak, Paula P. Provencio, Yemane Asmerom
The Fossil Pearls Of The Million-Pearls Flowstone, Fairgrounds Room, Fort Stanton Cave, New Mexico Usa, Victor J. Polyak, Paula P. Provencio, Yemane Asmerom
International Journal of Speleology
‘Fossil’ cave pearls in the Fairgrounds Room of Fort Stanton Cave form two distinct layers in a flowstone sample, FS-14-2. The flowstone in the Fairgrounds Room covers a mud-silt bank and the extinct streambed that extends across the room. Uranium-series dates of two pieces of flowstone from this room, one piece from the higher end of the flowstone (FS-14-1, devoid of pearls), and another piece from the lower end of the flowstone (FS-14-2, rich in pearls), show that the flowstone was deposited during the Last Glacial period (60,000 to 11,000 yr BP). The two cave-pearl layers in FS-14-2 yielded U-series …
Data-Driven Risk Mapping For Safer Roads: Unincorporated Dekalb County, Georgia, Getachew B. Demisse, Stacy C. Grear, Araya D. Araya, Shimelis Gebru, Solomon Negash, Leo Ladefian, Carlo Frate
Data-Driven Risk Mapping For Safer Roads: Unincorporated Dekalb County, Georgia, Getachew B. Demisse, Stacy C. Grear, Araya D. Araya, Shimelis Gebru, Solomon Negash, Leo Ladefian, Carlo Frate
The Geographical Bulletin
This study presents a decade-long spatiotemporal analysis of more than 206,000 traffic accidents recorded between 2015 and 2024 in unincorporated DeKalb County, Georgia. The primary goal of the study is to identify critical patterns of roadway risk and inform data‑driven safety interventions. Using crash records from the Georgia Department of Transportation (GDOT) AASHTOWare Safety platform and standardized crash‑rate calculations, the analysis revealed strong temporal regularities, including elevated crash frequencies during afternoon peak hours, Fridays, and seasonal transition periods such as October. Spatial analyses further demonstrate that crashes are highly concentrated along a limited subset of corridors, consistent with High Injury …
A Calibrated And Conformal Deep Learning Framework For Trustworthy Antinuclear Antibody Pattern Recognition With Selective Referral To Experts, Hussein Ali Hussein Al Naffakh, Ahmed Dheyaa Radhi, Raghdah Maytham Hameed, Muntaha Abdullah Reishaan, Fouad A. Majeed, Rozaida Ghazali
A Calibrated And Conformal Deep Learning Framework For Trustworthy Antinuclear Antibody Pattern Recognition With Selective Referral To Experts, Hussein Ali Hussein Al Naffakh, Ahmed Dheyaa Radhi, Raghdah Maytham Hameed, Muntaha Abdullah Reishaan, Fouad A. Majeed, Rozaida Ghazali
Karbala International Journal of Modern Science
Reading antinuclear antibody patterns on human epithelial cells by indirect immunofluorescence is the reference screen for systemic autoimmune rheumatic diseases, but it is slow, subjective, and variable between observers. Deep learning reaches high accuracy on this task, yet most systems return a single prediction without stating how reliable it is, which is unsafe in a diagnostic workflow. This paper presents an intelligent decision support framework built around a single calibrated uncertainty signal. That signal is the control variable for four reliability modules: confidence calibration, conformal prediction, error detection, and selective referral. A feature space out of distribution detector serves as …
Comparison Of Gravity Separation And Flotation For Pyrite Recovery From Tailings, Gülay Bulut, Gönül Göksu Gökçe, Dilruba Karamanlı, Oğuzhan Mert Gürkan, Ergin Sarp Zenzirci, Binnur Kırım, Alim Gül
Comparison Of Gravity Separation And Flotation For Pyrite Recovery From Tailings, Gülay Bulut, Gönül Göksu Gökçe, Dilruba Karamanlı, Oğuzhan Mert Gürkan, Ergin Sarp Zenzirci, Binnur Kırım, Alim Gül
Journal of Sustainable Mining
Tailings generated during the production of lead, zinc, and copper concentrates contain significant amounts of sulfide minerals, particularly pyrite. Pyrite, which remains in tailings after the recovery of other metals, is one of the main contributors to acid mine drainage (AMD). Therefore, recovering pyrite from tailings is environmentally and economically an important issue. In this study, pyrite recovery from tailings was investigated using flotation and gravity separation methods. Mineralogical characterization and liberation analyses were conducted by Mineral Liberation Analysis (MLA), indicating that pyrite is the major sulfide mineral with over 76% liberation degree even in the coarsest fractions. Flotation tests …
Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod
Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod
Turkish Journal of Electrical Engineering and Computer Sciences
The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …
Dynamic Focal Loss Adjustment For Railway Defect Detection, Mehmet Koç, Ridvan Özdemi̇r, Ömer Gerek
Dynamic Focal Loss Adjustment For Railway Defect Detection, Mehmet Koç, Ridvan Özdemi̇r, Ömer Gerek
Turkish Journal of Electrical Engineering and Computer Sciences
Railway infrastructure is critical to the safe and efficient operation of transportation systems, and the early detection of defects is essential for preventing catastrophic failures. Automated defect detection methods are therefore crucial for maintaining continuous safety while reducing maintenance costs. Although Focal Loss is widely used in object detection under class-imbalanced conditions, its fixed α parameter may limit its effectiveness in detecting rare defects. In this study, we propose an adaptive α-tuned Focal Loss approach that dynamically adjusts class weights based on average precision (AP) values. By iteratively optimizing α without relying on gradient-based optimization, the proposed method improves the …