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Generative Models And Synthetic Data In Clinical Prediction Models, Anthony A. Mangino, Taha Ahmed, Vincent L. Sorrell

Radiology Faculty Publications

Introduction: Reproducibility, consistency, and transparency are essential to responsible and ethical scientific inquiry, though practices supporting these qualities are often neglected. However, in many cases data are confidential or otherwise unable to be shared publicly. This tutorial describes a method utilizing generative adversarial networks (GANs) to create synthetic data that are sufficiently similar to the original dataset in such cases where the source data cannot be shared or where the source data are too sparse as to internally validate results. Methods: Utilizing an exemplar study that aimed to create a clinical prediction model employing a novel echocardiographic measurement to differentiate …

An Appalachian Expression Of Rootedness: Exploring Rootedness In The Writings Of Simone Weil And Wendell Berry, Luke Bratton

Criterion: A Journal of Literary Criticism

No abstract provided.

Discovery Of Quasi-Carbon Nanotube Structures In Tectonically Deformed Coals And Their Formation Mechanisms, Li Yunbo, Wang Rongqi, Song Dangyu, Wang Chengtao, Li Qiang, Yi Ke, Wang Yuanyuan, Pan Jienan

Coal Geology & Exploration

Objective Carbon nanotubes (CNTs) have attracted wide attention due to their unique structures and performance. However, their artificial synthesis requires stringent conditions, including high temperatures (700 ℃ to 2 300 ℃), stable carbon sources, and catalysts. Furthermore, these structures are rarely discovered in nature. As a carbon-rich medium, coals can form a variety of ordered carbon structures during their metamorphic and deformational processes, serving as an ideal carrier for exploring the formation mechanisms of natural CNTs.Methods Typical tectonically deformed coals from the Pingdingshan and Huaibei mining areas were investigated in this study. After demineralization and chloroform extraction, coal samples …

Dynamic Evolution Of Rock Mechanical Properties Of Coal Seam Roofs Under Thermal Loading: A Case Study Of The Baikouquan Area, Xinjiang, China, Sun Fangfang, Li Xin, Sang Shuxun, Qu Huailin, Yang Shuguang, Wei Bo, Wang Ziqiang, Zhang Bin, Chen Yanpeng, Tian Wenling

Coal Geology & Exploration

Objective Underground coal gasification (UCG) represents a key technology for the clean utilization of coal resources. However, during the UCG process, thermal damage to surrounding rocks under thermal effects directly affects the stability and engineering safety of gasification channels.Methods To address the thermal damage to surrounding rocks during UCG, this study investigated the silty mudstones and coarse-grained sandstones in the coal seam roof of the Xishanyao Formation, Baikouquan area, Xinjiang. Through high-temperature uniaxial compression experiments, combined with characterization methods like X-ray diffraction (XRD) and scanning electron microscopy (SEM), this study delved into the dynamic evolutionary patterns of rock mechanical …

Characteristics And Mechanisms Of The Adsorption Of Shales For Ba2+ In Fracturing Fluids, Xie Chenyang, Liu Bo, Zhang Yuting, Zhu Fang

Coal Geology & Exploration

Objectives and Methods Large-scale hydraulic fracturing represents a key technology for shale gas exploitation. However, engineering practices indicate that the flowback rates of fracturing fluids are low and vary significantly across different blocks. Furthermore, some components in fracturing fluids may cause groundwater contamination. To explore the adsorption characteristics and mechanisms of Ba²⁺ within fracturing fluids in shale reservoirs, this study investigated four typical types of samples, including shale and three shale samples with different compositions, from the Longmaxi Formation in the Changning Block, southern Sichuan Basin. Systematic experiments were conducted on the adsorption of shales with different mineral …

Enrichment Patterns And Accumulation Models Of Coalbed Methane Under Complex Geological Conditions: A Case Study Of The Xintian Coal Mine In Western Guizhou Province, China, Xu Shuai, Wu Caifang, Bie Xiaofei, Li Guangsheng, Fang Xiaojie, Wang Fangfang, Cheng Yi, Zhao Peng

Coal Geology & Exploration

Objective The Xintian Coal Mine, a critical coal-producing mine in western Guizhou Province, faces high risks of coal and gas outbursts and the challenge of low underground coalbed methane (CBM) extraction efficiency, necessitating surface CBM extraction. However, the complex geological conditions in the area limit well placement and the fracturing and gas drainage effectiveness. Therefore, there is an urgent need to systematically elucidate the occurrence characteristics and enrichment patterns of CBM in the area.Methods Based on data from exploration boreholes in the Xintian Coal Mine, combined with experiment and test results and log interpretations, this study revealed the physical …

An Experimental Study On The Mechanical Property Evolution Of Granites Post-High-Temperature Treatment Under Loading And Unloading Conditions, Hao Wencai, Qiao Wei, Liu Huichen, Zhu Zhennan, Wang Hao, Liu Richeng, Guo Jie, Xie Jingyu, Cheng Xianggang, Lyu Ruijie

Coal Geology & Exploration

Objective The surrounding rocks of wellbores remain in a state of stress release during the drilling and heat extraction of deep geothermal reservoirs. Therefore, investigating the characteristic stresses of heat-treated granites under loading and unloading conditions is critical to understanding the crack evolution in deep hot dry rock (HDR) reservoirs during their stimulation. Methods Targeting the granite specimens after heat treatment at varying high temperatures (e.g., 200 ℃, 300 ℃, 400 ℃, 500 ℃, and 600 ℃), this study conducted triaxial loading and unloading tests under a confining pressure of 60 MPa, aiming to investigate the impacts of high temperature …

Spatiotemporal Variations And Their Influencing Factors For Vegetation Net Primary Productivity In The Shendong Coal Base, Yang Fei, Cui Kuankuan, Zhang Chengye, Li Jun, Dong Qiulin

Coal Geology & Exploration

Objective The Shendong coal base, located within the arid and semi-arid regions in western China, is identified as the region with the most pronounced contradiction between coal resource development and ecological conservation in the country. Analyzing the spatiotemporal variations in the ecosystem and their influencing factors at the base scale provides a necessary foundation for green mine construction while also offering critical support for regional sustainable development.Methods In this study, the vegetation net primary productivity (NPP) was selected as an indicator for the ecological evaluation of mining areas. By integrating data on terrain, weather and climate, socio-economy, and human …

A Model For Predicting Coal Mining-Induced Surface Subsidence During Theinitial, Active, And Decline Stages, Zhang Liangliang, Liu Xiya, Cheng Hua, Du Shaoneng

Coal Geology & Exploration

Objectives and Methods Presently, there remains a lack of theoretical models for predicting the coal mining-induced surface subsidence during the initial, active, and decline stages. Given this, this study derived the time-varying exponential function of the ratio of maximum to dynamic surface subsidence first using measured data from seven coal mines. Accordingly, an improved Knothe time function model was established. Then, the impacts of the model parameters on dynamic surface subsidence W(t), subsidence velocity v(t), and subsidence acceleration a(t) were analyzed. Subsequently, based on the improved Knothe model and the critical …

Soil Microbial Biomass And Organic Carbon Fractions Under Different Natural Restoration Years In Arid Coal Mining Subsidence Areas In Xinjiang, China, Xiao Li, Bi Yinli, Wang Dongdong, Li Jianfeng, Gong Hanlin, Deng Aojuan, Hou Wensheng

Coal Geology & Exploration

Objective This study aims to elucidate the influence of the natural restoration process on changes in soil microbial biomass and organic carbon fractions in coal mining subsidence areas. This effort will provide a crucial scientific foundation for understanding the natural ecological restoration process and carbon accumulation dynamics in arid coal mining subsidence areas.Methods Arid coal mining subsidence areas in Xinjiang, China were investigated in this study. Using the space-for-time substitution approach, sample plots were selected from an unmined area and areas having undergone natural restoration for one, three, eight, and 12 years. Subsequently, systematic analyses were conducted on the …

A Method For Fine-Scale Identification Of Collapse Columns Based On Offset Vector Tile Domain Seismic Data, Zhang Guangzhong, Liu Song, Shan Rui, Cai Wenrui

Coal Geology & Exploration

Objectives and Methods The YQ mining area in the Qinshui Basin is characterized by complex seismic and geological conditions, as well as well-developed collapse columns and flexure structures. Consequently, conventional three-dimensional (3D) seismic exploration fails to meet the precision requirements for safe coal mining. By constructing a physical model based on the actual geological conditions of the study area, this study conducted forward modeling for the seismic responses of collapse columns under varying azimuths. Accordingly, the azimuthal anisotropy of the collapse columns were systematically analyzed. By employing a regular noise suppression technique based on curvelet transform, combined with prestack migration …

Application Of A Generative Adversarial Network To Super-Resolution Reconstruction Of Fracture Images In Logging-While-Drilling Electrical Resistivity Imaging, Han Sen, Shen Chuanhai, Xu Chen, Tian Yimeng, Zhao Biao, Wang Ze, Liu Yongkang, Kang Zhengming

Coal Geology & Exploration

Objective Logging-while-drilling electrical resistivity imaging (LWD-ERI) enables the intuitive presentation of geobodies near wellbores in images, representing an important approach to the fine-scale evaluation of stratigraphic parameters while also providing significant geological guidance during the drilling of fractured reservoirs. However, this technique faces the challenge of low image resolution in real-time data processing due to its limited well-to-surface data transmission rates, exerting adverse impacts on the qualitative identification of wellbore fractures and the quantitative evaluation of their parameters. To address this issue, this study proposed a super-resolution image reconstruction method based on a generative adversarial network (GAN), aiming to achieve …

A Surface Wave Inversion Method Incorporating Interface Constraints And Its Application In The Assessment Of Ground Vibrations Caused By Mining-Induced Seismicity, Li Cheng, Qian Changbao, Liu Ying, Cheng Yi, Ni Shengjun, Yao Huajian

Coal Geology & Exploration

Objective In mining areas of western China, underlying interfaces with significant fluctuations affect seismic exploration accuracy while also posing challenges to the assessment of ground vibrations triggered by dynamic hazards such as mining-induced seismicity. To enhance the characterization of shallow velocity structures and to provide support for dynamic hazard prevention and control in mining areas, this study developed an inversion method incorporating prior information about geological interfaces.Methods A dense array consisting of 489 single-component and 108 three-component seismometers was deployed within a mining area in Longkou Town, Junggar Banner, Inner Mongolia. Accordingly, continuous ambient noise data for about one …

Standardizing Data-Sharing And Communication Procedures Among Healthcare Providers To Enhance Disaster Response, Bahaeldin Mahmoud

Walden Dissertations and Doctoral Studies

Effective data sharing during disasters remains an unresolved administrative challenge for acute care hospitals, as fragmented communication directly affects patient safety and impacts vulnerable populations. This study identified gaps in hospitals' alignment with the Emergency Management Conditions of Participation standards. This integrative review applied a Complex Adaptive Systems conceptual framework to analyze the interdependent technological, governance, and human factors that cause systemic failures. The purpose of the review was to determine actionable administrative strategies that enhance data-sharing resilience. The guiding question examined barriers to standardized data sharing and communication in disaster preparedness and the approaches to address them. The methodology …

Residual Risk Of Hyperkalemia Among Patients With Heart Failure Treated With Both Sglt2i And Arni, Stephen J Greene, Shachi Patel, Khaja Chinnakondepalli, Stefan D Anker, Michael Böhm, Biykem Bozkurt, Javed Butler, John Gf Cleland, Andrew J Coats, Nihar Desai, Victoria Donachie, Ellie Kelepouris, Giuseppe Rosano, Carla-Maria Brandes, Andrew J Sauer

Faculty, Staff and Students Publications

No abstract provided.

Spartan Daily, March 25, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 27

Algebraic Invariants Of Multi-Virtual Links, Louis H. Kauffman, Sujoy Mukherjee, Petr Vojtěchovský

Mathematics: Faculty Scholarship

Multi-virtual knot theory was introduced in 2024 by the first author. In this paper, we initiate the study of algebraic invariants of multi-virtual links. After determining a generating set of (oriented) multi-virtual Reidemeister moves, we discuss the equivalence of multi-virtual link diagrams, particularly those that have the same virtual projections. We introduce operator quandles (that is, quandles with a list of pairwise commuting automorphisms) and construct an infinite family of connected operator quandles in which at least one third of right translations are distinct and pairwise commute. Using our set of generating moves, we establish the operator quandle coloring invariant …

Using A Multimedia Icu Diary To Support Patient Recovery And Enhance Family Engagement In The Medical Intensive Care Unit Primary, Eliza Palow

MaineHealth Maine Medical Center

No abstract provided.

Relocation Experience And Physical Activity And Sedentary Behavior: Newly Admitted Residents To Assisted Living Facilities, Jung Yoen Son

Sigma Foundation for Nursing Research Grant Reports

This study aims to determine the feasibility and acceptability of conducting a longitudinal study with newly admitted residents to ALF, establish a preliminary estimate of changes in PA and SB during the relocation from community to ALF, and identify predictors of relocation-related changes.

In Vitro And In Silico Evaluation Of Calcined Chicken Eggshell Powder As An Antibacterial Agent Against Staphylococcus Aureus, Hadi Kurniawan, Hariyanto Ih, Fajar Nugraha, Siti Nani Nurbaeti, Inarah Fajriaty, Ardi Kurniawan, Ridho Maulana Difa

Makara Journal of Science

Staphylococcus aureus is a major Gram-positive pathogen that is increasingly resistant to antibiotics, significantly contributing to antimicrobial resistance (AMR)-related deaths. Therefore, this study aimed to examine the antibacterial activity of calcined chicken eggshell powder (CCEP), a waste-derived material rich in calcium compounds. CCEP was prepared by calcining eggshell powder at 900 °C for 3 hours. Its antibacterial potential was evaluated using in vitro assays, including agar disc diffusion and broth microdilution, as well as in silico molecular docking against penicillin-binding protein 4 (PBP4, PDB ID: 3HUM). The in vitro results showed that a 20% (w/v) CCEP solution in glycerol produced …

Abnormal Pupils At The Bedside: Rapid Recognition Of Neurologic And Systemic Emergencies In Acute Care Settings., Dawn C Penney, Zoë M Rushetsky, Donald Penney

PCOM Scholarly Works

Background: Pupillary abnormalities are critical bedside findings that may indicate both benign physiologic variation and life-threatening neurologic emergencies. In emergency and urgent care settings, rapid interpretation of pupillary findings is essential for early recognition of intracranial pathology, vascular lesions, toxicologic syndromes, and ocular disease.

Objective: To summarize clinically significant pupillary abnormalities encountered in acute care and propose a structured bedside framework to distinguish benign from emergent etiologies.

Methods: A narrative review of the literature was conducted, focusing on pupillary neuroanatomy, examination techniques, and underlying pathophysiologic mechanisms relevant to emergency practice. Results Key conditions reviewed include physiologic anisocoria, Horner syndrome, Adie …

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The Molecular Determinants Of Deglycation And Substrate Specificity In Fructosamine Kinases, Jenet Matlack

USF Tampa Graduate Theses and Dissertations

Protein glycation is a universal, non-enzymatic modification that occurs when a sugar covalently attaches to a primary amine. These spontaneous modifications may have deleterious or regulatory effects on protein function, and their removal is mediated by the conserved metabolic kinase fructosamine-3-kinase (FN3K). Despite its crucial role in protein repair, we currently have a poor understanding of how FN3K engages or phosphorylates its substrates. Additionally, the molecular basis for the distinct yet overlapping substrate specificities of FN3K and its paralog, ketosamine-3 kinase (KT3K), remains unresolved. By integrating structural biology, biochemistry, and ancestral protein reconstruction (APR), this thesis elucidates the catalytic mechanism …

Using The Karush-Kuhn-Tucher Optimization Method On A Finite Fuzzy Markov Chain, Marwan S. Jameel, Zeiad Yahya Ali Allawee, Rana Z Al-Kawaz, Sura J Hussein

Baghdad Science Journal

It is highly interesting to explore the implications of Markov chain stability because its importance in engineering, dynamic systems, energy subject and decision-making issues. This paper deals with a method to assess the stability of Markov chains, finishing our notes in finite fuzzy Markov chains. The optimization of KKT was evaluated in two approaches: a. For one thing, optimized KKT methods substitute the random transition probability with a fuzzy value in the transition matrix. The problem illustrates the efficacy of method in proving the unique properties for power bounds of a 3 × 3 matrix depending where on this it …

Conics Through Inequivalent 5-Arcs In Pg(2, 32), Zainab Abbas Khalaf, Emad Bakr Al-Zangana

Baghdad Science Journal

A k-arcs is usually defined to be a set of k points in the projective plane such that some lines meets K in two points. A conic is an irreducible plane quadric curve with six terms. The first aim of the paper is to find the projectively inequivalent 5-arcs and 6-arcs in the finite projective plane over the Galois field of order two, and find the subgroups of PGL( 3,32 ) that are fixing these arcs. The second aim is to determine the conics form that passes through these 5-arcs and 6-arcs, and then parameterized. As an application to our …

Predictive Reliability Assessment And Profit Optimization Of An Ice Cream Plant Using An Artificial Neural Network Technique, Akash Tewatia, Surbhi Gupta, Manju Kashyap, Archana Chauhan

Baghdad Science Journal

This study presents a reliability analysis of an ice cream manufacturing facility based on operational failure data. The research develops a ten-component system model that captures plant dynamics and organizes it into three subsystems to reduce computational complexity. The study derives key reliability parameters and constructs a state transition diagram to represent system behavior across multiple operating states. The analysis applies an Artificial Neural Network (ANN) to address the limitations of conventional analytical methods in modeling complex nonlinear systems. The ANN provides strong predictive performance and manages uncertainty within the operational environment. The proposed framework estimates system reliability with high …

On Graded Strongly J_Gr^Soc-2-Absorbing Submodules, Malak Alnimer, Khaldoun Al-Zoubi

Baghdad Science Journal

Let $\mathfrakB$ be a graded commutative ring with unity, and let $\mathfrakW$ be a graded unital $\mathfrakB$-module. This study introduces and develops the concept of graded strongly $J_gr^Soc$-2-absorbing submodules, a natural extension of graded $J_gr$-2-absorbing submodules within the framework of graded module theory. The motivation for this generalization stems from the need to better capture the interplay between graded algebraic structures and the behaviors of certain radicals and socles under graded operations. A properly graded submodule $N$ of $\mathfrakW$ is defined as a graded strongly $J_gr^Soc$-2-absorbing submodule if, for all $b,uin h( \mathfrakB )$ and $cin h( \mathfrakW )$, the …

Enhanced Botnet Detection Using A Modified Naïve Bayes Algorithm With Laplace Smoothing And Famd-Based Feature Agglomeration, Ahmed L. Alshami, Bashar M. Nema, Alaa H. Al-Hamami

Baghdad Science Journal

Botnets turned into a security problem that would put user privacy and security at risk. Progressive and flexible Machine Learning (ML) techniques are necessary for robust botnet revealing. In this study researchers presented an integration of the modified Naïve Bayes and M3L algorithms that uses Factor Analysis of Mixed Data (FAMD) for feature aggregation, and Laplace smoothing for adjustment to address the limitation of conventional Naïve Bayes classifiers for detecting botnet. The modified algorithm uses Laplace smoothing to address problems with zero-frequency data and improve the classifier's adaptability. FAMD was used to merge continuous and categorical features to improve the …

Implementing A Secure Rpl Routing Protocol For Iot Networks Using Lightweight Authentication Technique, Hussein A. Nassrullah, Zainab T. Alisa

Baghdad Science Journal

The use of Internet of Things (IoT) networks is increasing daily both in terms of the number of active IoT devices and the number of sectors and applications using IoT technologies. This widespread deployment increases the importance of protecting these networks and secure their data from theft or manipulation. The IoT routing protocol (RPL) is the primary protocol used in resource constrained IoT networks. However, this protocol contains a number of security vulnerabilities that practically restrict its use in many sensitive applications. This research proposes a lightweight secure operating mode for the RPL protocol called Lightweight Security Mode RPL (LSM-RPL) …

Leveraging Feature Fusion And Convolutional Neural Networks For Concrete Crack Prediction, Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

Baghdad Science Journal

Detection of cracks in concrete is crucial for the safety of bridges and the overall infrastructure. This paper presents a new hybrid method that combines handcrafted and deep features to significantly improve classification accuracy. Texture and semantic information are captured using Local Binary Patterns (LBP) and a pre-trained Xception model, respectively. These features are converted by the Bag of Visual Words (BoVW) method, combined, and the best features are selected by using the Apriori algorithm. The selected features are classified utilizing the light MobileNetV3, a large network. Our method is tested on four public datasets, namely CODEBRIM, DIMEC, Crack, BCD, …