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College Of Liberal Arts Executive Committee Meeting, Thursday, September 25, 2025, College Of Liberal Arts Executive Committe

Executive Committee Minutes

No abstract provided.

"From Global Stocktake To Global Delivery: A Policy Roadmap For Cop30 Implementation" How Can We Hold Stakeholders Accountable And Foster Global Collaboration?, Joshua Underhill

COP30

The Earth is facing a climate catastrophe. According to NASA (2024), the Earth's average surface temperature in 2024 was the warmest on record. The same article outlines that the Earth is about 1.47 degrees Celsius warmer than the preindustrial period1. A core mechanism designed to address this challenge, and other key concerns, is the Global Stocktake GST, which is a process within the Paris Agreement assessing collective progress towards key goals.

This policy paper will primarily focus on the history of the global stocktake, before delving into the future of the GST, the NDC, and global mutirao, all with the …

From Dialogue To Delivery: Engaging Non-State Actors In Gst Follow-Up, Aya Mohamed

COP30

Climate action is falling short where it matters most, on the ground, because those doing the work are often excluded from the system's tracking progress. The Global Stocktake (GST), meant to assess global climate efforts, remains focused on national governments, leaving out non-state actors (NSAs) who lead much of the real-world delivery. This exclusion stems from structural gaps in Nationally Determined Contributions (NDCs) and the lack of formal ways for NSAs to engage meaningfully. Existing tools, like voluntary platforms and consultations, are not enough, they lack enforcement and true integration. This paper proposes two practical solutions: AI-powered Nested Climate Accounting, …

Schools As Hubs For Cultivating Climate Literacy And Action In Egypt, Kenzy Al Ruwaini

COP30

Partial reforms within the national education system across Egypt during 2022 as Egypt worked towards better fulfilling its promises to becoming more sustainable. These reforms aimed to better build students' capacity and their involvement in climate initiatives. However, noting the important role of schools in student development, this paper puts forward a call for more comprehensive reforms that aim to target more than just students' theoretical understanding. Remarking the vitality of a changed understanding and interaction between the students and the environment. As well as ensuring that the students learn to become active members of their community with a profound …

Hss 404-061: Senior Seminar - Ai Ethics, Daniel Estrada

Humanities Syllabi

No abstract provided.

Turning Ndc 3.0 Into Action: An Implementation Framework For Hard-To-Abate Sectors Decarbonization - The Brazil Case Study, Mohamed Khaled

COP30

Brazil stands to lead an industrial transition using green hydrogen for steel production, using its renewable energy advantage to bridge the gap between pilot project success and commercial implementation. Brazil's hydrogen project—including 12 planned hubs and Vale's strategic partnerships—shows how the country can implement its NDC 3.0 commitment s into actionable steps while establishing a replicable model for developing countries. Green hydrogen emerges as a transformative solution for steel decarbonization, offering an alternative way to replace the coal pathway. Hydrogen-based direct reduction fundamentally changes steelmaking by utilizing renewable-powered electrolysis to produce hydrogen that reduces iron ore without carbon byproduct s. …

Capacity Building And Action For Climate Empowerment (Ace): A Technical Review, Salman Almudawib

COP30

Capacity Building and Action for Climate Empowerment (ACE) is a core pillar for climate change mitigation through people’s participation, education, and empowerment (UNFCCC, n.d.; Action for Climate Empowerment, 2025). This article describes technological and digital resources that support ACE, particularly in the COP30 environment. It also identifies inventive methods and the stumbling blocks alongside the best digital instruments that facilitate local-level empowerment, targeting innovation centers, AI education, indigenous knowledge systems, and the integration of policies (IFLA, 2025; Mbuvha et al., 2024). One of the key anticipated outcomes is the Baku-to-Belém Roadmap, aimed at mobilizing $1.3 trillion annually for climate action …

Sts 351-001, H01: Minds And Machines, Daniel Estrada

Humanities Syllabi

No abstract provided.

Engl 100-001: English Composition: Introduction To Academic Reading And Writing, Jennifer Fischl-Kruger

Humanities Syllabi

No abstract provided.

Engl 101-071, 098: Intro To Academic Writing, Jennifer Fischl-Kruger

Humanities Syllabi

No abstract provided.

Phil 334-001, 003, 451: Engineering Ethics, Daniel Estrada

Humanities Syllabi

No abstract provided.

Engl 101-007, 015: Intro To Academic Writing, Galen Faison

Humanities Syllabi

No abstract provided.

Generalızed Kuramoto-Sıvashınsky Equatıon Solvıng By B-Splınes Based Neural Network, University Of Abomey-Calavi, Abomey-Calavi, Benin, Abdou Wahidi Bello, Jamal Adetola, National University Of Science, Technology, Engineering And Mathematics (Unstim), Abomey, Benin, Charbel Zeus Jupiter Mamlankou, Brice Bonaparte Adjalla

Baku Mathematical Journal

This study presents a comprehensive case study investigating the application of Variational Physics-Informed Neural Networks (VPINNs) combined with B-spline test functions for solving the generalized Kuramoto-Sivashinsky equation in one space dimension. The Kuramoto-Sivashinsky equation, a nonlinear fourth-order PDE, serves as a benchmark for modeling instabilities in fluid dynamics, combustion, and pattern formation. Our methodology leverages variational formulations to enhance solution accuracy while ensuring robust convergence. Through systematic numerical experiments, we demonstrate that VPINNs effectively capture complex dynamical behaviors in high-order nonlinear systems. The framework’s robustness is evaluated across different network architectures and multi-stage optimization strategies using Adam and L-BFGS optimizers. …

Convexity Of Out-Chebyshev Sets, Lomonosov Moscow State University, Moscow, Russia, Alexey R. Alimov, Niyazi A. Ilyasov, Institute Of Mathematics And Mechanics, Baku, Azerbaijan

Baku Mathematical Journal

A set is an out-Chebyshev set if any point lying at a positive distance from this set has a unique best approximant in this set. We extend the classical Berdyshev– Brøndsted–Brown theorem on convexity of Chebyshev sets in spaces of dimension 4 to the case of out-Chebyshev sets.

On The Existence Of Solutions For Perturbed Impulsive Differential Equations With Initial Time Differences, Gebze Technical University, Gebze, Turkiye, Saliha Demirbuken, Coskun Yakar

Baku Mathematical Journal

In this paper, we investigate the existence of solutions for a perturbed impulsive differential system, where the initial time differs from that of the corresponding unperturbed system. Our approach is based on the method of upper and lower solutions, which provides a framework for establishing the existence of solutions under suitable conditions.

Mixed Problem For A Nonlinear Differential Equation Of The Seventh Order With Identification Source, Samarkand State University, Samarkand, Uzbekistan, Tursun K. Yuldashev, Bakhtiyar J. Kadirkulov, Alfraganus University, Tashkent, Uzbekistan, Mahkambek M. Babayev, Tashkent State Transport University, Tashkent, Uzbekistan

Baku Mathematical Journal

In this paper, a seventh order nonlinear partial differential equations with mixed and additional conditions and positive parameter is considered. The Fourier spectral method of separation of variables is applied. Countable systems of nonlinear functional-integral equations are derived. Theorem on the uniqueness and existence of the solution of inverse problem is proved for some values of parameter. The method of contraction mapping in Banach space is applied. The solution of the inverse problem is obtained in the form of Fourier series. Theorem on absolute and uniform convergence of Fourier series is proved.

High-Precision Reconstruction Of Seismic Data Based On Improved U-Net++, Wang Minling, Zhou Fei, Wang Honghua, He Xiang, Hou Zhiyang

Coal Geology & Exploration

Objective Conventional reconstruction methods are insufficient for the reconstruction of seismic data with missing consecutive traces, producing a negative impact on subsequent processing accuracy. Hence, this study proposed CU-Net++, a deep learning network based on the U-Net++ architecture combined with the convolutional block attention module (CBAM). Methods During the reconstruction of missing data, the independent decoder for each sub-U-Net in the nested U-Net++ architecture enables the utilization of information from different depths. The long and short skip connections can effectively enhance the network's capability to extract multi-scale features from data. The core innovation of CU-Net++ is the introduction of CBAM, …

Application Of Geophysical Logging To Selection Of Optimum Target Horizons For Salt Cavern Storage: A Case Study Of Borehole Zk01 In Qingjiang Salt Mine, Jiangxi Province, China, Liu Dongming, Lin Zhenzhou, Liu Dongyan, Qiu Changyi, Liang Mingxing, Zhai Jinghong, Zhang Jie, Jiang Zhengzhong

Coal Geology & Exploration

Background Under the guidance of the strategies to achieve the goals of peak carbon dioxide emissions and carbon neutrality, salt cavern storage facilities, serving as key infrastructure for clean energy strategic reserves, have emerged as a core approach to promoting the transformation and upgrade of the salt industry and to building a low-carbon energy system in China. Jiangxi Province, located in the middle part of the Yangtze River Economic Belt, is endowed with abundant salt rock resources, making it a national priority zone for developing resources for salt cavern storage. However, traditional methods for the siting of the facilities rely …

Process And Mechanism Of Defluorination Using Magnesium Chloride-Modified Coal Gangue, Zhao Li, Zhou Wangxu, Zhang Qing, Xing Mingfei, Xu Feng, Kong Weifang, Liu Yifei, Qin Guangyu

Coal Geology & Exploration

Background The rapid development of industry has resulted in a yearly increase in wastewater discharge, which induces a gradually rising fluorine concentration in water. In this context, removing fluoride using natural materials and industrial waste has emerged as a popular research topic. Coal gangue, one of the largest contributors to industrial waste in China, contains substantial clay minerals, and its pore structure can be effectively improved through modification. This helps significantly enhance its adsorption performance and thus achieve efficient fluoride removal from water. Methods This study investigated coal gangue from a typical mining area of the Henan Energy and Chemical …

A Modular Casing While Drilling Rig For Large-Diameter Horizontal Boreholes For Underground Rescue, Fan Dong, Ni Xiaoyang, Mu Shuyuan, Zou Zujie, Wen Guojun, Li Yingping, Lu Feifei

Coal Geology & Exploration

Objective Operations in a narrow space pose a challenge to rescue in the case of the collapse of mine roadways or tunnels. To address this challenge, this study developed a modular rescue casing while drilling (CwD) rig system for horizontal boreholes. With the capacity for quick responses, this CwD rig was designed to enhance the rescue efficiency and safety under complex geological conditions. Methods Following the modular design concept and compact layout principle, this study optimized core components such as the power heads, feed devices, and power system. The auxiliary operation vehicle was checked against overturning through multibody dynamics (MBD) …

Structural Optimization For Transfer Chutes Based On Energy Dissipation Mechanisms Of Coal Particles, Shi Yaocheng, Zou Zujie, Wen Guojun, Cheng Siyi, Wu Laijie, Wang Yudan, Liu Pu, Chen Mengxi

Coal Geology & Exploration

Objective Bulk material transport in emergency rescue scenarios and coal transportation poses stringent demands for the structural performance of transfer chutes. Given this, from the perspective of the energy dissipation mechanisms of particles, this study proposed structural optimization methods for transfer chutes based on the regulation of particle energy dissipation. Methods An experiment–simulation integrated analysis framework was established. Using this framework, this study systematically simulated the impact process of particles between two-stage walls I and Ⅱ using the discrete element method (DEM), highlighting the coupling mechanisms among velocity fluctuations, stress distribution, and energy transformation pathways. Based on the results, this …

A Simulation And Experimental Study Of Bottomhole Flow Field In A Large-Diameter Rescue Borehole, Zhao Yan, Liu Songhe, Hao Shijun, Zhao Jiangpeng, Li Peishu, Wang Xuebo, Yu Yongping, Gao Ke, Dong Bo, Zhang Bo

Coal Geology & Exploration

Objective In mine rescue, reaming using a large-diameter down-the-hole (DTH) hammer faces is challenged by complex bottomhole flow fields and difficult slag discharge. This study aims to address these challenges. Methods To reveal the influence patterns of drilling parameters on the bottomhole flow field and slag discharge efficiency, this study determined the optimal drilling parameter combination. Then, using the computational fluid dynamics (CFD)-discrete phase model (DPM) method, this study established a numerical model for the slag discharge and bottomhole flow field during the reverse circulation drilling using a DTH hammer. Relying on this model, this study analyzed the variation patterns …

Er Stress Tolerance Is Regulated By Copper-Dependent Perk Kinase Activity., Sarah E. Bond Newton, Xinglong Shi, Noah R. Beratan, Julia Perhacs, Jitendra K. Arya, Margaret K. Bond, Tali Gidalevitz, Cagla Akay-Espinoza, Donita C. Brady, Kelly L. Jordan-Sciutto

Farber Institute for Neuroscience Faculty Papers

Pancreatic/PKR-like endoplasmic reticulum (ER) kinase (PERK) is a kinase that, in response to ER stress, mediates dual homeostatic and pro-apoptotic signaling. Thus, intricate regulation is required for physiological function. Attempts to modulate PERK activity have shown that the determinants of adaptive vs. maladaptive signaling remain ambiguous. Here, with purified protein, we provide evidence that PERK binds copper, identifies residues required for interaction, and demonstrates that copper is necessary for kinase activity. Furthermore, cellular PERK activity can be modulated via copper availability, and this regulatory relationship can be manipulated to dictate ER stress tolerance. Critically, these phenomena translate to phenotypes in …

Constructions Of Compact Dupin Hypersurfaces With Non-Constant Lie Curvatures, Thomas E. Cecil

Mathematics and Computer Science Department Faculty Scholarship

A hypersurface M in the unit sphere Sⁿ ⊂ Rⁿ⁺¹ is Dupin if along each curvature surface of M, the corresponding principal curvature is constant. If the number g of distinct principal curvatures is constant on M, then M is called proper Dupin. In this expository paper, we give a detailed description of two important types of constructions of compact proper Dupin hypersurfaces in Sⁿ. One construction was published in 1989 by Pinkall and Thorbergsson [35], and the second was published in 1989 by Miyaoka and Ozawa [26]. Both types of examples have the …

Approxımatıon Of The Ahlfors-Beurlıng Transform In The Lebesgue Spaces, Baku State University, Baku, Azerbaijan, Rashid A. Aliev, Lale Sh. Alizade

Baku Mathematical Journal

The Ahlfors-Beurling transform is one of the important operators in complex analysis. It is the "Hilbert transform" on complex plane. This transform plays an essential role in applications to the theory of quasiconformal mappings and to the Beltrami equation with discontinuous coeffcients. Therefore, approximations of the Ahlfors-Beurling transform are of great interest. This article is devoted to the approximation of the Ahlfors- Beurling transform in the Lebesgue spaces. We prove that the approximating operators are bounded maps in the Lebesgue spaces and converges strongly to the Ahlfors-Beurling transform

Trcaptionnet++: A High-Performance Encoder-Decoder Based Deep Turkish Image Captioning Model Fine-Tuned With A Large-Scale Set Of Pretrain Data, Serdar Yildiz, Abbas Memi̇ş, Songül Varli

Turkish Journal of Electrical Engineering and Computer Sciences

This paper introduces a novel and high-performance encoder-decoder-based deep model called TRCaption Net++ for generic Turkish image captioning tasks. The proposed model is an improved and refined version of TRCap tionNet, which essentially employs a CLIP (contrastive language–image pretraining) image encoder, a feature projection layer and a BERT (bidirectional encoder representations from transformers) text decoder. Within the scope of the study, the regular TRCaptionNet model was trained and specifically fine-tuned with a massive set of image data. In this respect, approximately 2,000,000 random images representing the words in the MS COCO and Flickr caption sets were retrieved through web crawling …

Enhanced Pmu Data Imputation Using Variational Autoencoder: A Novel Approach For Improved Accuracy, Subin Koshy, Sunitha Rajan, Elizabeth P. Cheriyan

Turkish Journal of Electrical Engineering and Computer Sciences

Data collected from various measurement devices, such as phasor measurement units (PMUs), form the backbone of power system monitoring algorithms such as state estimation algorithms. Even though modern PMUs are efficient, data inaccuracies and loss can still occur due to problems like equipment malfunctions, communication issues, and hardware or software glitches. Missing values in the datasets can also affect the overall quality, impacting the algorithms dependent on them. This article introduces a novel technique for real-time imputation of missing data using variational autoencoder (VAE) and utilizing the latent space representation acquired from VAE. The method has demonstrated enhanced accuracy in …

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

Injection-Production Process Parameters Of Well Group Configurations For Autothermic Pyrolysis In Situ Conversion Of Oil Shale, Zeng Yijian, Zhu Chaofan, Li Yanwei, Shui Haoche, Guo Wei

Coal Geology & Exploration

Background A well group acts as a multi-well synergistic unit, and its configuration directly determines both the selection of optimal injection–production process and the utilization efficiency of stratigraphic conditions, ultimately affecting the overall performance of resource recovery. Methods Using numerical simulations, this study assessed the performance of autothermic pyrolysis in situ conversion (ATS) under three vertical well group configurations: one injection well and one production well (1I1P), one injection well surrounded by four production wells (1I4P), and one injection well surrounded by six production wells (1I6P). Furthermore, it revealed the synergistic mechanisms between well group configuration and energy efficiency. Results …

Attenuation Characteristics And Wave Impedance Inversion Of Depth-Domain Nonstationary Seismic Data, Ma Ming, Ma Feng

Coal Geology & Exploration

Background The efficient application of depth migration methods has enabled the extensive implementation of depth-domain seismic data interpretation. Previous studies on the impacts of time-to-depth conversion and velocity models merely determine that an increase in depth corresponds to reduced dominant wavenumber of seismic waves and waveform stretching, without considering the changes in amplitude and phase. Objective This study aims to accurately characterize the waveforms of nonstationary seismic signals in the depth domain and enhance the impedance inversion accuracy. Methods First, based on energy dissipation and frequency dispersion effects during the propagation of seismic waves, this study investigated the complex mapping …