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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 …

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

Spartan Daily, 2026

Volume 166, Issue 27

Stuyvesant Square Apts Llc V. Vorick

All Decisions

The landlord commenced a holdover proceeding against the tenant, alleging illegal residential occupancy of a former medical office due to uncorrectable building code violations concerning courtyard dimensions affecting natural light requirements. The court granted the landlord a final judgment of possession, finding the unit could not be legalized. However, the court also awarded the tenant treble damages for rent overcharge, holding that a commercial unit used residentially can be rent-stabilized. It dismissed the tenant's harassment claim, distinguishing "dwelling" from a narrower "dwelling unit," but granted an order to correct violations. The tenant's request for attorneys' fees was denied as they …

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Recent Advances In Graphene-Based Field-Effect Transistor Biosensors For Disease Biomarker Detection And Clinical Prospects, Deeksha Nagpal, Anup Singh, John Link, Abijeet Mehta, Ashok Kumar, Vinay Bhudhraja

Health & Biomedical Sciences Faculty Publications

Field-effect transistor (FET) biosensors using graphene have become one of the most promising biosensing platforms for the early diagnosis of diseases with features such as high sensitivity, label-free detection and application compatibility with point-of-care systems. Herein, we critically discuss recent advances in graphene FET (GFET) biosensor development toward clinically relevant biomarkers associated with representative diseases including cancer, neurodegenerative disease, infectious disease, and inflammatory conditions. Recent progress was reviewed to evaluate GFET architectures, surface functionalization methods, and detection quality. The biomarkers explored were clusterin in Alzheimer’s disease, thrombin in coagulopathy, estrogen receptor α (ER-α) in breast cancer, Carcinoembryonic antigen in lung …

Secure Machine Learning In Networking Systems, Wenwei Zhao

USF Tampa Graduate Theses and Dissertations

With the rapid integration of Machine Learning (ML) into networking systems, ensuring the security and trustworthiness of these intelligent frameworks has become a paramount concern. While ML offers unprecedented capabilities in spectrum management and collaborative learning, it also introduces novel vulnerabilities that can be exploited by sophisticated adversaries. This dissertation investigates and addresses critical security challenges across three key dimensions of ML-driven networking: adversarial spectrum sensing, the security of privacy-preserving unlearning processes, and efficient post-attack model recovery.

First, we address the threat of adversarial spectrum attacks in cognitive radio networks, where malicious nodes manipulate sensing reports to disrupt spectrum access. …

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 …

Effective Marketing Strategies Of Private Entities For Leading The United States Military Armed Forces, Harry B. Willis Iii

Walden Dissertations and Doctoral Studies

Ineffective marketing strategies contribute to lower retention outcomes by failing to communicate the value of training programs and build sustained community engagement. Training managers must implement intentional marketing strategies that strengthen community engagement and improve participant retention. Grounded in organization theory, the purpose of this qualitative pragmatic inquiry was to explore the successful marketing strategies used by training managers of private organizations in the United States to increase military numbers. The participants were six training managers from the Southwest United States. Data were collected from semistructured interviews. Through thematic analysis, four themes emerged: (a) marketing strategies, (b) training managers, (c) …

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 …

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 …

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, …

Dual Focus Attention Block Unet (Dfab-Unet) For Robust Skin Lesion Segmentation, Fallah H. Najjar, Farhan Mohamed, Mohd Shafry Mohd Rahim, Diana Sofia De Oliveira Bernardo, Luís Filipe Almeida Bernardo, Vei Siang Chan

Baghdad Science Journal

Skin cancer is the most fatal type of cancer worldwide. Prognosis is generally much better with early detection and effective treatment relies on an accurate diagnosis of skin lesions. Despite progress in deep learning, there is still a challenge to provide accurate segmentation of dermoscopic skin lesions due to image variations stemming from different illuminative input parameters, different resolutions/image sizes, image artifacts and varying skins. These differences hinder state-of-the-art models from learning pixel-precise lesion boundaries or more contextual features, consequently impairing their generalization and clinical applicability. We introduce a new architecture called Dual Focus Attention Block UNet (DFAB-UNet) with intrinsic …

Mould Risk Prevention In Healthcare Facilities In Hot And Humid Climates Through Acmv Air Supply Parameter Optimisation: Development And Validation Of A Multi-Objective Optimisation Framework, Jiang Kaiyun

Student Works (2020-2029)

Air conditioning mechanical ventilation (ACMV) supply parameters—such as airflow rate, temperature, and humidity—significantly influence indoor thermal and hygrometric conditions, influencing airflow patterns and mould proliferation. In healthcare facilities, mould poses significant health risks, particularly for immunocompromised patients, contributing to respiratory issues, allergic reactions, and infections. While ACMV systems are central to infection control and indoor air quality, conventional designs often fall short in hot and humid climates. Existing practices typically prioritise high air change rates (ACH) without sufficient dehumidification, underestimate humidity control, and assume spatial homogeneity, overlooking microclimates conducive to localised mould growth. To address these limitations, this research develops …

The Use Of Artificial Intelligence For Innovation In The Public Procurement System, Karem Sayed Aboelazm, Khalid Mohamed Dganni, Fady Tawakol, Raghda Raafat

All Works

Public procurement represents a substantial share of national economies and is increasingly shaped by the deployment of artificial intelligence (AI). The research problem addressed in this study concerns how AI can be integrated into public procurement systems without undermining core principles of transparency, accountability, and legality. The purpose of the paper is to examine the transformative potential of AI in public procurement while identifying the legal, institutional, and ethical challenges it generates. Methodologically, the study adopts a comparative analytical approach based on procurement laws, government reports, and peer-reviewed scholarship, focusing on the United Arab Emirates (UAE), Estonia, and South Korea. …

What Is The Contribution Of Thermal Selection To The Maintenance Of A Shell Color Cline In Littorina Saxatilis?, Ramón Vigo, Sarah L.Y. Lau, Juan Gefaell, Juan Galindo, Gray A. Williams, Manuela Truebano, Emilio Rolán-Alvarez

School of Biological and Marine Sciences

The study of clines, or geographical variations of a given trait, can help understand how the interactions of genetics and local environments determine phenotypic diversity. The marine snail Littorina saxatilis (Olivi, 1792) exhibits a gradual change in the relative frequencies of shell color morphs across populations in the estuary system of the Rias Baixas (Galicia, NW Iberian Peninsula). A consistent pattern of distribution occurs across these four Rias, with the interior, sheltered regions dominated by a light fawn-like morph (fulva), and the exterior, wave-exposed locations by a darker lineated morph (lineata). Measurements of rock surface temperature along one of the …

Incidence Of Autoimmune Diseases In Children With Atopy Treated With Dupilumab, Stanislaw J Gabryszewski, Kathryn Hirabayashi, Morgan Botdorf, Mitchell Maltenfort, Christopher B Forrest, Theresa W Guilbert, Madeline Schutt, Hiroki Morizono, Gerardo Vazquez Garcia, Anna Cristina Garza-Mayers, Joseph Demetrius Hernandez, Sara Anvari, Suchitra Rao, Jonathan M Spergel

Faculty, Staff and Students Publications

Background: The type 2 inflammation-blocking agent dupilumab has gained traction as an effective treatment of multiple atopic diseases. New-onset autoimmune manifestations have been infrequently reported in dupilumab-treated atopic patients, primarily among adults. Autoimmune outcomes in atopic children on dupilumab are less clear.

Objective: We aimed to determine if dupilumab treatment of atopic children is associated with increased autoimmune or autoinflammatory disease diagnosis risk.

Methods: Using a multi-institutional electronic health record database composed of 10 PEDSnet academic health systems, we performed a retrospective cohort study of children aged 6-17 with atopy (ie, moderate-to-severe atopic dermatitis and/or persistent asthma, as defined by …

Registrations Now Open For Uab 2026 Summer Camps, Brianna Hoge

Browse All News

No abstract provided.

Examining The Bioethanol Yield Potential Of Varying Ratios Of Jicama (Pachyrhizus Erosus) And Footstool Palm (Saribus Rotundifolius) Stalk, Luke Gabriel R. Mara, Sasha Marie C. Haresco, Alyssa Shane M. Arro, Shalemar O. Baldoza, Raphael Carlos V. Bunga, Rica Michaela G. Dosal, Angela A. Garan, Keona Denise C. Marquez, Isabelo Raphael M. Siguenza, Kristoff Isaiah R. Soreta, Kian Stephen Torrijos, Marionne Lorraine R. Valdez, Sky Lance S. Valiente, June Ray O. Filler

DLSU Senior High School Research Congress Conference Proceedings

This study aimed to examine the bioethanol yield potential of varying ratios of Jicama (J) and Footstool Palm Stalk (FPS). The prototype used a mixed feedstock approach and was developed using the Separate Hydrolysis and Fermentation (SHF) method to extract and ferment sugars to produce ethanol. The study measured bioethanol yields by employing a posttest-only controlled group design consisting of a negative control group and three experimental groups. The results demonstrated that Experimental 3 exhibited the highest average initial sugar yield (3.71g), while the Negative Control showed the lowest average initial sugar (1.5g), showing the high sugar potential of Experimental …

Evaluating The Absorption Capacity And Ph Level Properties Of Varying Ratios Of Garlic (Allium Sativum) And Onion (Allium Cepa) Peels For The Absorbent Core Of Sanitary Napkins, Rhys Mari C. Cortezano, Jezreel Keren C. Manait, Avryl Charlizze P. Sampan, Alyannah Dennise C. Castro, Isabelle C. Romero, June Ray O. Filler

DLSU Senior High School Research Congress Conference Proceedings

Considering the need for sustainable and enhanced menstrual hygiene products, this study aimed to assess the absorption capacity and average pH value of varying ratios of onion (Allium cepa) and garlic (Allium sativum) peels in developing an eco-friendly absorbent core for sanitary napkins. Employing a pre-experimental one-shot case design, the experimental group undergoes pH and absorbency tests. The evaluation focused on measures of absorbency and pH levels of the sanitary napkin cores made from three different fiber ratios: 6g onion-4g garlic, 4g onion-6g garlic, and 5g onion-5g garlic, each combined with 10g of organic cotton. Results indicated that Ratio 3 …

Evaluating The Mechanical Performance Of Eco-Fiberboards Made From Varying Ratios Of Water Hyacinth (Eichhornia Crassipes) And Laundry Lint Microfibers, Iommi M. Vacaro, Joaquin Vielle D. Palomo, Denise Rose D. Verzosa, Udelle Y. Establecida, Ma. Annie Bien M. Sumague, June Ray O. Filler

DLSU Senior High School Research Congress Conference Proceedings

This study explored the viability of hybrid eco-fiberboards as an alternative to commercially available fiberboards. It aimed to evaluate the mechanical performance of water hyacinth (WH) and laundry lint (LL) microfibers, bound within a high-density polyethylene (HDPE) matrix to create a sustainable fiberboard. Three experimental groups with varying fiber ratios were tested for tensile and flexural strength. The results were then compared to medium-density commercial fiberboards (Positive Control), which served as a benchmark. The flexural test results showed that the experimental group with the highest LL content had a maximum strength of 35.13 MPa, comparable to that of the control …