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Petrophysical Model-Driven Seismic Inversion For Physical Property Parameters Of Deep Coalbed Methane Reservoirs, Chen Yang, Guo Qiang, Ba Jing Sep 2026

Petrophysical Model-Driven Seismic Inversion For Physical Property Parameters Of Deep Coalbed Methane Reservoirs, Chen Yang, Guo Qiang, Ba Jing

Coal Geology & Exploration

Objective Deep coalbed methane (CBM) reservoirs typically exhibit complex pore-fracture structures, as well as strong nonlinear and non-unique corresponding relationships between elastic and physical property parameters. In this context, this study develops a seismic petrophysical inversion method that accounts for pore structure variations. Methods This study investigated deep CBM reservoirs along the eastern margin of the Ordos Basin. First, a petrophysical model based on variable pore aspect ratios was established, and the corresponding linearized forward operator was derived. Then, the pore aspect ratios were estimated using near-borehole log data. Meanwhile, the multimodal prior distributions of reservoir physical property parameters were …

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Intelligent Identification Of Deep Coal Macrolithotypes Based On Weighted Ensemble In Machine Learning: A Case Study Of The Shenmu Area, Ordos Basin, Yao Yuhao, Yang Zhaobiao, Huang Daojun, Wang Jianan, Dong Guodong, Chen Yilin, He Jinxian, Zhang Shang Sep 2026

Intelligent Identification Of Deep Coal Macrolithotypes Based On Weighted Ensemble In Machine Learning: A Case Study Of The Shenmu Area, Ordos Basin, Yao Yuhao, Yang Zhaobiao, Huang Daojun, Wang Jianan, Dong Guodong, Chen Yilin, He Jinxian, Zhang Shang

Coal Geology & Exploration

Objective Coal macrolithotype represents a key geological property in the exploration and recovery of deep coalbed methane (CBM) resources, and its accurate identification is of great significance for selecting the optimal geological and engineering sweet-spot intervals. However, conventional coal macrolithotype identification relies heavily on core observation, suffering from prohibitively high costs since core data are extremely valuable and thus feature a small sample size. Meanwhile, conventional log-based threshold methods face challenges in effectively characterizing the complex boundaries between coal macrolithotypes.Methods This study investigated the No. 8 coal seam of the Benxi Formation, Shenmu area, eastern Ordos Basin. Based on …

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A Probabilistic Lithofacies Classification Method For Deep Coal Measures, Xu Aiguo, Zhang Pingsong, Wu Haibo, Li Shenglin Sep 2026

A Probabilistic Lithofacies Classification Method For Deep Coal Measures, Xu Aiguo, Zhang Pingsong, Wu Haibo, Li Shenglin

Coal Geology & Exploration

Background Deep coal measures contain multiple unconventional reservoir types, including coal, shale, and tight sandstone. Accurate lithofacies classification helps identify the resource and engineering targets of unconventional gas within these deep sequences, thus guiding category-based extraction and efficient development. However, conventional lithofacies classification methods largely rely on elastic parameters derived based on the isotropic-medium assumption or linear amplitude variation with offset (AVO) inversion while neglecting the pronounced vertical transverse isotropy (VTI) anisotropy of deep coal measures, severely limiting the lithofacies classification accuracy. Methods This study develops a probabilistic lithofacies classification method for deep coal measures. First, high-accuracy elastic parameters, including …

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Multi-Round Diverting Fracturing Technology For Deep-Seated Thin Coal Seams And Its Application: A Case Study Of The G3-1 Well Group In The Yichuan Block, Ordos Basin, Li Shuguang, Nie Zhihong, Ji Liang, Zhou Changhui, Bai Kunsen, Huang Li, Zhen Huaibin, Xing Xuejie, Zhao Haifeng Sep 2026

Multi-Round Diverting Fracturing Technology For Deep-Seated Thin Coal Seams And Its Application: A Case Study Of The G3-1 Well Group In The Yichuan Block, Ordos Basin, Li Shuguang, Nie Zhihong, Ji Liang, Zhou Changhui, Bai Kunsen, Huang Li, Zhen Huaibin, Xing Xuejie, Zhao Haifeng

Coal Geology & Exploration

Objective Deep coal seams in the Yichuan block of the Ordos Basin are characterized by small thicknesses, vertical multi-layer superimposition, and strong vertical and horizontal heterogeneities. When used to develop these coal seams, multi-stage horizontal well fracturing faces challenges such as uneven fracture propagation across various stages in the horizontal direction and a low production degree of multiple coal seams in the vertical direction, complicating commercial exploitation. To address these issues, this study proposes a multi-round diverting fracturing technology based on a vertical cluster well group. In this technology, vertical layered fracturing using vertical cluster wells is employed to achieve …

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Scaling And Blockage In Deep Coalbed Methane Wells: Mechanisms And Countermeasures, Zhang Lei, Chen Ming, Zhen Huaibin, Zeng Wenting, Hao Pengcheng, Hou Wei, Yin Decai, Zhang Kang, Liu Chuanqing, Tian Zhida, Liu Qihu, Wang Qian, Xiong Wei, Sun Weiwei, Xia Fei, Wang Chunyan Sep 2026

Scaling And Blockage In Deep Coalbed Methane Wells: Mechanisms And Countermeasures, Zhang Lei, Chen Ming, Zhen Huaibin, Zeng Wenting, Hao Pengcheng, Hou Wei, Yin Decai, Zhang Kang, Liu Chuanqing, Tian Zhida, Liu Qihu, Wang Qian, Xiong Wei, Sun Weiwei, Xia Fei, Wang Chunyan

Coal Geology & Exploration

Background The exploitation of deep coalbed methane (CBM) is accompanied by continuous pressure drawdown. In this case, scaling and blockage are prone to occur in systems where formation water with high total dissolved solids (TDS) and high-concentration CO2 coexist. In the middle to late production stage, the blockage of both wellbore and flow pathways in reservoirs frequently leads to abrupt declines in gas production and bottomhole pressure or even induces the shutdown of natural flowing production, severely restricting the stable production of deep CBM wells. Methods This study investigated the Daning-Jixian block in the eastern Ordos Basin. Using multiple …

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Technology Roadmap And Countermeasures For Lean Development Of Low-Grade Deep Coalbed Methane: A Case Study Of The Linxing-Shenfu Block, Ordos Basin, Wu Guang’Ai, Xing Xuesong, Wu Jianshu, Zhu Ying, Zi Jingyu, Wang Zhi, Hou Yanan, Cheng Yuxiong, Liu Xin Sep 2026

Technology Roadmap And Countermeasures For Lean Development Of Low-Grade Deep Coalbed Methane: A Case Study Of The Linxing-Shenfu Block, Ordos Basin, Wu Guang’Ai, Xing Xuesong, Wu Jianshu, Zhu Ying, Zi Jingyu, Wang Zhi, Hou Yanan, Cheng Yuxiong, Liu Xin

Coal Geology & Exploration

Background Accelerating deep coalbed methane (CBM) exploitation is a strategic initiative for the energy security and energy mix optimization of China. The Linxing-Shenfu block in the Ordos Basin holds considerable resource potential of deep CBM. However, this block exhibits typical geological characteristics of low-grade deep CBM, including the complete absence of free gas, gas content < 14 m3/t, reservoir permeability < 0.1 × 10−3 μm2, and strong heterogeneity. These characteristics lead to low efficiency of conventional development models. Therefore, there is an urgent need to develop an efficient technical system tailored to these characteristics. Method To address the core contradiction between reservoir …

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Numerical Simulation Of Stress Shadow Effect And Cluster Spacing Optimization For Multi-Cluster Fracturing In Deep Coalbed Methane Horizontal Wells, Guo Guangshan, Deng Zhiyu, Sun Le, Pu Yifan, Wu Jian, Tao Shu, Chen Shaojuan, Chen Shida Sep 2026

Numerical Simulation Of Stress Shadow Effect And Cluster Spacing Optimization For Multi-Cluster Fracturing In Deep Coalbed Methane Horizontal Wells, Guo Guangshan, Deng Zhiyu, Sun Le, Pu Yifan, Wu Jian, Tao Shu, Chen Shaojuan, Chen Shida

Coal Geology & Exploration

Purpose Multi-stage, multi-cluster fracturing in horizontal wells represents a key technique for deep coalbed methane (CBM) recovery and the sustainable development of the industry. However, during multi-cluster fracturing in deep CBM horizontal wells, the stress shadow effect tends to induce non-uniform fracture propagation and a limited stimulated reservoir volume (SRV). Methods To address these challenges. this study established a two-dimensional (2D) numerical model for multi-cluster hydraulic fracturing in horizontal wells using the finite element method. Then, it systematically analyzed the impacts of in situ stress and cluster spacing on both the stress shadow effect and the competitive propagation of hydraulic …

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Fracturing With Three-Dimensional Full-Scale Fracture Network Propping For Deep Coalbed Methane Reservoirs: A Novel Ceramic Micro-Proppant And Its Verification Through Numerical Simulations, Li Xiang, Xu Jun, Li Ting, Zhang Xiaoyu, Yang Bo Sep 2026

Fracturing With Three-Dimensional Full-Scale Fracture Network Propping For Deep Coalbed Methane Reservoirs: A Novel Ceramic Micro-Proppant And Its Verification Through Numerical Simulations, Li Xiang, Xu Jun, Li Ting, Zhang Xiaoyu, Yang Bo

Coal Geology & Exploration

Objective and Methods Conventional fracturing struggles to achieve the long-term effective propping of complex fracture networks during the development of deep coalbed methane (CBM) reservoirs. To address this challenge, this study developed a novel ceramic micro-proppant suitable for the volumetric microfracture propping and, through numerical simulations, verified its performance when it was applied to reservoir stimulation in conjunction with the technology of fracturing with three-dimensional full-scale fracture network propping. First, a novel ceramic micro-proppant with a core-shell structure was designed according to the requirements of microfracture propping. Its key properties, including compressive strength, settling behavior, hydraulic conductivity, and stability, were …

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A Spatiotemporal Surrogate Model And Multi-Objective Optimization For Multi-Well Coalbed Methane Production, Qin Yuancheng, Wang Mengyi, Wang Yanfeng, Li Yuan, He Bo, Fang Junling, Duan Qingshan, Liu Chen Sep 2026

A Spatiotemporal Surrogate Model And Multi-Objective Optimization For Multi-Well Coalbed Methane Production, Qin Yuancheng, Wang Mengyi, Wang Yanfeng, Li Yuan, He Bo, Fang Junling, Duan Qingshan, Liu Chen

Coal Geology & Exploration

Objective and Methods In the full-lifecycle optimization of multi-well and long-term coalbed methane (CBM) production, conventional numerical simulation methods face challenges including extremely high computational costs and difficult multi-objective trade-offs. To address these issues, this study proposed a spatiotemporal surrogate model for multi-objective optimization of CBM production. First, a heterogeneous reservoir model involving 17 production wells was constructed based on high-fidelity numerical simulation, and a sample dataset was created by applying random perturbations to the baseline production scheme. Second, a hybrid surrogate model integrating a convolutional neural network (CNN) and a Transformer decoder was established. The CNN was utilized for …

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Numerical Simulation And Process Optimization Of Multi-Round Fracturing In Deep Coalbed Methane Wells In The Linxing-Shenfu Block, Li Yu, Zhang Liang, Li Yunyun, An Qi, Feng Xuesong, Lan Tian, Yu Ji, Liu Xin Sep 2026

Numerical Simulation And Process Optimization Of Multi-Round Fracturing In Deep Coalbed Methane Wells In The Linxing-Shenfu Block, Li Yu, Zhang Liang, Li Yunyun, An Qi, Feng Xuesong, Lan Tian, Yu Ji, Liu Xin

Coal Geology & Exploration

Objective Deep coalbed methane (CBM) holds considerable resource potential. However, deep CBM reservoirs exhibit high in-situ stresses, while deep coals feature strong plasticity and heterogeneity. These characteristics render it challenging to generate complex fracture networks through conventional fracturing, thus restricting the large-scale commercial development of deep CBM resources. Multi-round fracturing enables fracture initiation, propagation, and propping through sequential cycles of fracturing fluid injection, pump shut-in, and injection. By constantly changing near-wellbore stress fields, this technique facilitates the formation of complex fracture networks and ensures uniform reservoir stimulation. Method Using the finite-discrete element method (FDEM), this study established a numerical model …

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Therapeutic Outcomes Of Oral Antibiotics For The Treatment Of Methicillin-Resistant Staphylococcus Aureus Urinary Tract Infections: A Multisite, Retrospective Cohort Study Of Linezolid, Trimethoprim–Sulfamethoxazole And Doxycycline, Ryan Mccall, Elena Gatskevich, Steven E. Fiester, Michael Floren, Elisabeth Chandler Sep 2026

Therapeutic Outcomes Of Oral Antibiotics For The Treatment Of Methicillin-Resistant Staphylococcus Aureus Urinary Tract Infections: A Multisite, Retrospective Cohort Study Of Linezolid, Trimethoprim–Sulfamethoxazole And Doxycycline, Ryan Mccall, Elena Gatskevich, Steven E. Fiester, Michael Floren, Elisabeth Chandler

Chemistry Publications

Background: Methicillin-resistant Staphylococcus aureus (MRSA) urinary tract infections (UTIs), while relatively uncommon, pose a unique challenge in treatment as only specific intravenous (IV) options are typically utilized, with the efficacy of oral antimicrobials being poorly defined. Methods: The multi-site retrospective cohort study described herein therefore aims to characterize outcomes associated with oral administration of linezolid, trimethoprim-sulfamethoxazole (TMP-SMX), or doxycycline for the treatment of MRSA UTIs. Study participants were adults with culture-positive MRSA UTIs receiving one of the three oral therapies. Exclusion criteria included polymicrobial UTI, concomitant MRSA outside the urinary tract, receipt of non-study anti-MRSA agents for greater than or …

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Transforming Military Spectrum Management With Spectrack, Rachel Mccoy, Rafa Gould, Abby Fornadel Sep 2026

Transforming Military Spectrum Management With Spectrack, Rachel Mccoy, Rafa Gould, Abby Fornadel

James Madison Undergraduate Research Journal (JMURJ)

The U.S. military faces operational and financial challenges due to inefficient electromagnetic spectrum
management. This poster and accompanying research statement introduce our minimum viable product, SpecTrack, which we created in response to a challenge presented by the U.S. Department of Defense's Joint Spectrum Agency. SpecTrack centralizes and visualizes spectrum requests to offer insights, streamline communication, and reduce costs. It integrates with current tools like Spectrum XXI and HUNSWDO while enhancing usability through a visual Common Operating Picture (COP). Our user-centered design process included stakeholder interviews and site visits to Germany. The result: a scalable platform that modernizes and simplifies military …

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An Ion-Neutral Reaction To Form Cyanobenzene And Ethynylbenzene In Titan’S Atmosphere, Rachel M. Huchmala, Vincent J. Esposito Sep 2026

An Ion-Neutral Reaction To Form Cyanobenzene And Ethynylbenzene In Titan’S Atmosphere, Rachel M. Huchmala, Vincent J. Esposito

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The ion-neutral reaction between cyanoacetylene (HC3N) and phenyl anion (C6H5–) leads to the formation of cyanobenzene (C6H5CN) and the ethynyl anion (C2H–) via a submerged, exothermic pathway. Through a different mechanism, the same two reactants also form ethynylbenzene (C6H5C2H) and CN–. These new reactions can be a foundation for the production of substituted benzenes using molecules currently present on Saturn’s largest moon, Titan. Cyclic aromatic molecules like C6H5CN and C6H5 …

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Comparative Antibacterial Efficacy Of Hot Vs. Cold Aqueous Saussurea Costus Root Extracts Against Streptococcus Mutans, Fatima Adil Mohammed Hussien, Ahlam Taha Mohammed Sep 2026

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 …

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How Far Do A Smile And A Hand Held Tight Reach? Children’S Play As A Transdisciplinary Predictor Of The Trajectory Of Physicochemical Processes On Atomic, Molecular And Cellular Scales, Evangelina Wu Uskoković, Theo Wu Uskoković, Vuk Uskoković Sep 2026

How Far Do A Smile And A Hand Held Tight Reach? Children’S Play As A Transdisciplinary Predictor Of The Trajectory Of Physicochemical Processes On Atomic, Molecular And Cellular Scales, Evangelina Wu Uskoković, Theo Wu Uskoković, Vuk Uskoković

Administration and Staff Articles and Research

The search for an intrinsically beautiful scientific project took two children and their parent to over 600 visits of 181 playgrounds scattered throughout northern, central and southern California over the period of more than three years. Their goal was to test the hypothesis that children’s happiness and fondness for communication at playgrounds could be used, through complexity and entropy as intermediary quantities, as predictors of the evolution of physical, chemical and biological phenomena on microscopic scales ranging from the atomic to the cellular. Specifically, a link was sought between the children’s responses at play and the reaction paths of physicochemical …

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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 Sep 2026

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 …

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A Deep Learning-Based Approach For Mapping Shrubs In Arctic Tundra From Very High-Resolution Imagery, Darko Radakovic, Mark Chopping, Bruce Cook, Aparna S. Varde, Stefan A. Robila Sep 2026

A Deep Learning-Based Approach For Mapping Shrubs In Arctic Tundra From Very High-Resolution Imagery, Darko Radakovic, Mark Chopping, Bruce Cook, Aparna S. Varde, Stefan A. Robila

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Arctic shrub expansion is accelerating due to climate warming, but accurately mapping it at fine spatial scales remains challenging due to spectral overlap between shrubs and surrounding vegetation, heterogeneous tundra landscapes, and limited availability of very high-resolution imagery. This study presents a novel mapping and validation approach that integrates very high-resolution (< 1 m) QuickBird (QB) and WorldView (WV) satellite imagery across 12 North Slope sites, using deep learning architectures to map changes in shrub cover from 2002 to 2022. Deep learning models, including Convolutional Neural Network (CNN), ResNet, VGG, U-Net, and Vision Transformer, were trained on 4,100 3-channel pansharpened multispectral images (200×200 m). Two traditional machine learning models (Random Forest and Support Vector Machine) served as a control group. Leave-one-site-out cross-validation showed that all models performed well (AUC-ROC of 0.78–0.86, F1 at validation of 0.33-0.46) and had a moderate to strong agreement with field reference data (R2 = 0.76–0.87). The pretrained VGG and ResNet models achieved the strongest field-reference alignments for shrub cover prediction, while the difference with traditional models was small. Temporal trend analyses for July and August demonstrate a cover change of 0.06–0.45% yr-1 with unweighted mean area slopes and 0.01–0.92% yr-1 inverse-variance weighting. Growth rates were found to depend on the analytical design. Furthermore, the limiting factor in mapping shrub cover was not model complexity but the quality of the training data labels (annotation method explained ∼26% of the error variance). Per-scene cover error was seen across architectures (ρ = 0.67). Comparison with NASA Goddard's LiDAR, Hyperspectral and Thermal (G-LiHT)-derived Canopy Height Models revealed a weak-to-moderate relationship (R2 = 0.04–0.77), suggesting horizontal cover and vertical canopy structure capture complementary aspects of shrub abundance. These results demonstrate the potential of deep learning to map decadal shrub expansion at sub-meter resolution.

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A Viable Energy-Saving Solution For Sustainable Development: High-Efficiency Electric Motors Lspmsm, Le Anh Tuan, Do Nhu Y, Nguyen Thi Lan Sep 2026

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 …

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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 Sep 2026

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 …

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Shrinkage Of Jupiter's Great Red Spot, Richard W. Schmude Jr. Sep 2026

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, …

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Fully Anharmonic Infrared Spectra Of Neutral Polycyclic Aromatic Hydrocarbons With Up To 38 Carbons, Nolan J. H. White, Vincent J. Esposito, Christiaan Boersma, Louis J. Allamandola, Jesse D. Bregman, Alexandros Maragkoudakis, Pasquale Temi, Ryan Fortenberry Sep 2026

Fully Anharmonic Infrared Spectra Of Neutral Polycyclic Aromatic Hydrocarbons With Up To 38 Carbons, Nolan J. H. White, Vincent J. Esposito, Christiaan Boersma, Louis J. Allamandola, Jesse D. Bregman, Alexandros Maragkoudakis, Pasquale Temi, Ryan Fortenberry

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Interstellar aromatic infrared band (AIB) spectra show agreement with presently computed anharmonic spectra for various types of polycyclic aromatic hydrocarbons (PAHs) determined using a novel semiempirical quantum chemical method. Since the AIB spectrum is a blend of emission spectra from a vast number of different PAHs, likely with an array of different molecular structures, the spectra for a sample set of 31 PAHs ranging in size from naphthalene (C10H8) up to circumbiphenyl (C38H16) are combined, giving consideration to almost all PAH structural motifs. The computed numerical quartic force fields coupled to second-order …

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Predicting Oncogenic Mutants Of Epidermal Growth Factor Receptor In Lung Cancer By Molecular Dynamics Simulation With Machine Learning, Victor O. Anyanwu, Justin Spiriti, Chung Wong Sep 2026

Predicting Oncogenic Mutants Of Epidermal Growth Factor Receptor In Lung Cancer By Molecular Dynamics Simulation With Machine Learning, Victor O. Anyanwu, Justin Spiriti, Chung Wong

Chemistry & Biochemistry Faculty Works

The epidermal growth factor receptor (EGFR) is a frequently mutated protein kinase found in patients suffering from non-small cell lung cancer (NSCLC). Although therapeutic drugs targeting EGFR are available, not all patients respond to these drugs, and it is not yet known whether some clinically detected mutations are actionable. Although the oncogenicity of some mutants is well established, many mutants found in patients are not yet classified or classified as Variants of Uncertain Significance. For newly discovered rare mutants, strong evidence supporting their classification into oncogenic or benign is often lacking. Under such situations, multiple pieces of evidence can still …

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The Fragmentation Of Helcar: A Paratethyan Model For Rhûn, Núrnen And The Dead Marshes, Federico Manzoni Sep 2026

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 …

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Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine Sep 2026

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.

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From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder Sep 2026

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 …

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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 Sep 2026

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 …

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Simultaneous Analysis Of Phytohormones And Lipid Peroxidation Products In Plant Seeds By Lc-Ms/Ms After Molecular Weight Cutoff Filtration, Sargun Kaur, Honglan Shi, Obed Patty, Paul Ki-Souk Nam Sep 2026

Simultaneous Analysis Of Phytohormones And Lipid Peroxidation Products In Plant Seeds By Lc-Ms/Ms After Molecular Weight Cutoff Filtration, Sargun Kaur, Honglan Shi, Obed Patty, Paul Ki-Souk Nam

Chemistry Faculty Research & Creative Works

Investigation of the phytohormone and lipid peroxidation product levels in plant seeds can provide an insight into their germination potential and vigor. Simultaneous analysis of these diverse classes of compounds presents a significant challenge for a sample preparation method tailored to accommodate their distinct chemical properties. In this study, an analytical method consisting of simple extraction, molecular weight cutoff filtration, and subsequent liquid-chromatography tandem mass spectrometry (LC-MS/MS) analysis was developed for accurate quantification of 11 phytohormones including 2 auxins, 4 cytokinins, 2 gibberellins, abscisic acid, salicylic acid, and jasmonic acid in plant seeds. Additionally, the new method was used for …

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Infrared Spectroscopy And Photochemistry Of Aromatic Nitriles In Para-Hydrogen Matrices, Sam Mcgrath, Vincent J. Esposito, Linshan Zeng, Thomas H. Speak, Brendan Moore, Pavle Djuricanin, Jun Miyazaki, Takamasa Momose, Ilsa R. Cooke Sep 2026

Infrared Spectroscopy And Photochemistry Of Aromatic Nitriles In Para-Hydrogen Matrices, Sam Mcgrath, Vincent J. Esposito, Linshan Zeng, Thomas H. Speak, Brendan Moore, Pavle Djuricanin, Jun Miyazaki, Takamasa Momose, Ilsa R. Cooke

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Motivated by recent detections of several aromatic nitriles in Taurus Molecular Cloud 1, we report laboratory and theoretical investigations of the vibrational spectroscopy and photochemistry of singly and doubly cyanosubstituted benzene in solid para-hydrogen matrices. We compare the photochemistry of cyanobenzene (benzonitrile) and three dicyanobenzene isomers initiated by excitations at 193 nm. In addition, we report the photochemistry of deuterated cyanobenzene (d5-cyanobenzene), enabling us to determine the major products produced during the cyanobenzene photodissociation. The major products observed in the photolysis of all the nitriles are HCN and HNC, which are likely produced by hydrogen abstraction from para-hydrogen by the …

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Sustainable Development Of National Park Communities In China: Conditions, Challenges, And Implementation Paths, Baorong Huang, Xuetian Hu, Ling Tang, Zhi Wang, Zhi Zhang Sep 2026

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 …

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Construction And Application Of Clinical Evidence Framework For Brain-Computer Interface, Wenxiu Qi, Cheng Zhou Sep 2026

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 …

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