Digital Commons Network^™

A Multi-Task Cnn-Lstm Model With Attention Mechanism For Climate Temperature Forecasting Over Iraq, Salim M. Mohammed, Omar M. Mustafa, Lailan M. Haji, Omar M. Ahmed

Al-Bahir

Accurate forecasting of climate temperature at the regional scale is crucial to agriculture planning, water resource management, and disaster preparedness. Still, due to the nonlinear and complicated temporal patterns in regions such as Iraq, conventional climate models fail to meet this imperative. This paper presents a novel deep learning model that not only predicts monthly average temperature values but also predicts the temperature trend, hence addressing the regional climate prediction problem holistically. The proposed model is designed as a multi-task deep learning framework integrating Convolutional Neural Networks, Long Short-Term Memory networks, and an attention mechanism to process historical monthly temperature …

Health Effects Of Cadmium And Manganese Exposure On Luteinizing Hormone Levels: A Pilot Study Of Female Infertility, Shatha F. Alhous, Anees A. Al-Hamzawi, Murtadha Sh. Aswood

Al-Bahir

Female infertility occurs for many reasons, some unknown. Exposure to heavy metals is a risk factor that negatively impacts on female reproductive system. Therefore, this study aimed to evaluate the effect of cadmium Cd and manganese Mn on luteinizing hormone LH levels for females’ infertility. This study included a healthy group (n = 20), primary infertile females (n = 40), and secondary infertile females (n = 20) collected from Al-Zahraa hospital in Najaf center, Iraq. The Atomic Absorption Spectroscopy (AAS) was used to measure the cadmium and manganese concentrations and LH levels were measured by a Maglumi 800 from Snibe …

Enhanced Cuckoo Search-Based Optimization For Single Distributed Generation Placement And Sizing In Radial Distribution Systems, Samson Oladayo Ayanlade, Abdulrasaq Jimoh, Richard Oladayo Olarewaju, Ignatius Kema Okakwu, Israel O. Adejumobi, Joseph B. Samson, Oluwadare A. Adebisi, Oluwadare O. Akinrogunde

Al-Bahir

This paper presents an Enhanced Cuckoo Search Algorithm (ECSA) to optimally place and size Distributed Generation (DG) in radial distribution systems to minimize real power loss within operating constraints. The proposed ECSA has exponentially decaying adaptive Lévy flights, constraint-aware solution repair with dynamic penalty coefficients, and diversity-directed stochastic replacement to enhance search robustness and convergence speed. It was tested with 30 independent runs on the IEEE 33-bus, IEEE 69-bus, and a practical Nigerian 32-bus distribution network. The simulations show that the ECSA lowers the active power loss of the IEEE 33-bus system from 201.58 kW to 102.75 kW (49.03%), and …

Voltage-Mode Driver With Sar-Based Termination Calibration, Moustafa M. Elsayed, Abeer T. Khalil, Sameh A. Ibrahim, Mohy Eldin A. Abo-Elsoud

Mansoura Engineering Journal

This paper introduces a DAC-based four-level pulse-amplitude modulation (PAM-4) driver capable of operating at data rates up to 80 Gb/s in 65-nm CMOS technology. A replica-based termination calibration loop is proposed to preserve driver linearity across process, voltage, and temperature (PVT) variations. The proposed driver achieves a relative level mismatch (RLM) of 99.3%. In addition, the transmitter demonstrates a vertical eye opening of 134.8 mV and a horizontal eye opening of 0.44 UI under worst-case conditions.

Clinical Prediction Of Posttreatment Migraine Recurrence Using Biofeedback Data: A Machine Learning Framework For Enhanced Patient Stratification And Treatment Monitoring, Shibbir Ahmed Arif, Ferdib-Al-Islam, Mehidy Hasan Sium

School of Computing Faculty Scholarship and Creative Works

Migraine is a complex neurological disorder with significant implications for individual well-being and public health. Predicting migraine occurrences after treatment is crucial for evaluating therapeutic efficacy and enabling personalized care, yet remains largely underexplored. This study proposes a robust machine learning framework to predict posttreatment migraine headache occurrences using real-world headache log data collected from 133 patients undergoing biofeedback therapy. The methodology includes rigorous data preprocessing, outlier removal via the interquartile range (IQR) method, and class imbalance correction through the synthetic minority oversampling technique (SMOTE). A total of 10 classical and a hybrid ensemble machine learning models were developed and …

Restricting Academic Dishonesty At A Japanese University, Joel Weinberg

Japanese Society and Culture

This research explores three approaches to handling academic dishonesty: punitive, preventive, and positive. First, the history of cheating and the punitive approach is briefly discussed. Next, research results of a preventive approach that was used at a Japanese university are given. During this research, three surveys were conducted to gauge students’ opinions about cheating, to account for the methods, and to measure the prevalence of cheating on post-reading quizzes. The survey results show that at least eleven types of cheating on post-reading quizzes were used and that non-cheating students were concerned about this issue. As a result of the surveys, …

Institutional Transitions In The Employment Of Foreign Workers In Japan’S Agriculture And Food Manufacturing: From Technical Intern Training To Employment For Skill Development And Specified Skilled Worker In Comparison With The Uk, Tomoyuki Kuwaharada

Japanese Society and Culture

This paper investigates the institutional transition in Japan’s acceptance of foreign workers in the agriculture and food manufacturing sectors, focusing on the restructuring of entry-stage training schemes and their linkage to skill-based employment. In particular, it traces the shift from the Technical Intern Training Programme (TITP) to the Employment for Skill Development (ESD) Programme as the primary entry route, and examines how these institutional changes are embedded within the Specified Skilled Worker (SSW) framework.

Drawing upon official statistics from 2012 to 2024 and sector-specific case studies, the analysis demonstrates that the introduction of the SSW status in 2019 marked a …

The Bison, March, 20, 2026

The Bison Newspapers

No abstract provided.

Information Manager (Bim) Role Profiles, Davitt Lamon, Robert Moore, Stephen Lynam

Reports

This document, Information Manager (BIM) Role Profiles, has been prepared in support of the Irish Government’s Building Information Modelling (BIM) Mandate. It is the result of a collaborative effort between Build Digital, the Department of Public Expenditure, Infrastructure, Public Service Reform and Digitalisation (DPER), the Infrastructure Division, and the National Standards Authority of Ireland (NSAI). Its primary purpose is to define the competencies, responsibilities, and experience required for Information Management (BIM) roles to facilitate the successful digital delivery of public works projects. It is important to recognise that under the ISO 19650 series of standards, Information Management is defined as …

Chatgpt Versus Uptodate In Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency-Inverse Document Frequency Cosine Similarity, Shankar S. Thiru, Nicholas E. Aksu, Matthew Chiang, Daniel O. Gallagher, Mary Furlong, Elizabeth R. Prevou, Akhil Jay Khanna

Rothman Institute Papers

BACKGROUND: Generative artificial intelligence tools such as ChatGPT are increasingly used by medical students for self-directed learning. Although these models demonstrate linguistic fluency, their reliability as supplementary resources for preclinical education remains uncertain. In particular, comparisons with evidence-based references such as UpToDate are lacking.

OBJECTIVE: This study evaluated the similarity between responses generated by ChatGPT (with GPT-4o mini) and those from UpToDate to preclinical medical education questions to assess ChatGPT's potential as an adjunctive learning tool.

METHODS: We conducted a cross-sectional comparison study using 150 first-order questions derived from a preclinical question bank at a single allopathic institution under the …

Perceptions Of Black And Hispanic Superintendents In Texas Regarding Their Superintendency Pathways, Maria Faqier

Walden Dissertations and Doctoral Studies

The lack of diversity in the superintendent workforce in Texas is a significant concern that affects the educational experiences and opportunities of Texas students, teachers, families, and their communities. The problem addressed through this study was the underrepresentation of Black and Hispanic superintendents in Texas school districts. Guided by critical race theory and intersectionality theory, the purpose of this basic qualitative study was to explore Black and Hispanic superintendents’ perceptions of their successes, challenges, and recommendations to secure a superintendent position in Texas. Semistructured interviews were conducted with nine Black and Hispanic superintendents (two Black women, two Black men, two …

The Impact Of Michi-No-Eki (Roadside Stations) On The Regional Economy: An Input–Output Analysis Of Minamiboso City In Chiba Prefecture, Ryusaku Matsuo, Takeru Aizawa, Gon Jan, Wei Yuanxin, Masaharu Uchiyama, Gento Tagami

Japanese Society and Culture

This study quantitatively examines the economic impact of Michi-no-Eki (Roadside Stations) in Minamiboso City, Chiba Prefecture, using an input–output analysis based on the Chiba Prefectural Interindustry Table. Eight Michi-no-Eki were evaluated in terms of direct, indirect, and induced effects, including employment creation. The results show that the total production-inducing effect generated by the stations amounts to ¥7.02 billion per year, and the employment-inducing effect reaches 108.7 persons annually, indicating that Michi-no-Eki function as a central engine of the local economy. Moreover, thematic diversity among stations—such as loquat, flowers, and seafood—enhances multiplier effects through inter-sectoral linkages. These findings demonstrate that Michi-no-Eki …

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft 2023 Stormwater Evaluation And Maintenance Report (Dated February 27, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

From Cart To Kitchen Workshop, Madison Craig, Joshua Kim, Grace Manalac, Divya Thomas, Abby Zerby, Cameron Zirkel

Public Health Science Capstones

From Cart to Kitchen is a hands-on workshop designed to support families experiencing housing transitions in the San Jose area in building healthier eating habits. In partnership with Family Supportive Housing, the program focuses on strengthening food literacy, helping participants feel more confident in choosing nutritious meals on a budget.

The workshop includes short, easy-to-follow videos and interactive activities that cover topics like reading food labels, understanding basic nutrition, and grocery shopping with limited resources. Participants also receive a user-friendly pamphlet with tips on meal planning, shopping smart, and incorporating seasonal produce.

Delivered in an in-person setting, From Cart to …

Receptor-Mediated Drug Delivery: Redefining Targeted Drug Conjugates In Oncology, Keon Niles Jafari, Charlene Chai, Shelby Kim, Kamaljit Kaur

Pharmacy Faculty Articles and Research

Targeted drug delivery (TDD), specifically through targeting ligand–drug conjugates, has reshaped oncology by enabling selective delivery of cytotoxic payloads to cancer cells while minimizing uptake by normal tissues. A key approach relies on exploiting overexpressed cell surface receptors (CSRs) to enable selective uptake of drug conjugates via receptor-mediated endocytosis. This review delineates four clinically validated CSRs (HER2, Trop-2, Nectin-4, and SSTR2) with several FDA-approved drug conjugates. Furthermore, emerging CSRs (EGFR, DLL3, and keratin 1) that may support next-generation TDD platforms for cancer treatment are also highlighted. We discuss how CSR type, density on cancer cells, and its mechanism of endocytosis, …

Recovery And Validation Of Fragmented Rar Files Through The Scalpel3 Application, Thomas L. Landaiche Iii

LSU Master's Theses

A core component of filesystems includes an address table or other means of tracking metadata on where a given file resides within a disk image. This is crucial for regular operation of a computer, or disk analysis in digital forensics. When filesystem information is missing or corrupted, locating saved files on a disk becomes challenging. Whether the disk was accidentally wiped or intentionally tampered with, data still present on the disk, even while untracked, can possibly be recovered beyond what the filesystem registers. File carving in digital forensics is important for these scenarios when data recovery is necessary but address …

Fenced And Feral: Farming And Spread Of Flowerhorn (Amphilophus Spp.) In Lake Sampaloc, Philippines, Janice A. Ragaza, Hannah Nicole Gasmen

Environmental Sustainability

This study examines the spread and ecological impact of invasive Flowerhorn cichlids (Amphilophus spp.) in Lake Sampaloc, Philippines, driven by both accidental release and intentional aquaculture practices. Field observations and literature reveal that these highly adaptable and aggressive fish outcompete native species, contributing to biodiversity decline amid increasing pollution, eutrophication, and microplastic contamination. Their phenotypic plasticity allows them to thrive in degraded environments, further exacerbating ecological imbalance. While local communities have begun utilizing Flowerhorns for ornamental trade and potential aquafeed production, such practices risk reinforcing their proliferation. The study highlights the need for integrated management strategies combining biosecurity, pollution control, …

From Network Packets To Physical Consequences: Network-Level Spoofing And Loss Of Visibility In Industrial Control Systems, Lillian B. Beck

LSU Master's Theses

Industrial Control Systems (ICS) are the foundation of critical infrastructure as they provide resources like clean water, electricity, and natural gas to support our everyday functions. Given their essential role in modern society, the failure or compromise of ICS systems can lead to significant negative consequences and public safety impacts. Understanding how these systems can be targeted and exploited by malicious actors is necessary to improve their security and resilience.

This research examines how an attacker could manipulate a real-world ICS network by targeting a fully functional Natural Gas (NG) Compressor Station Platform that emulates real operations. This research led …

Identification Of Thruster Faults In Underwater Vehicles By Using Custom Encodings In Spiking Neural Networks, Donovan Gegg

LSU Master's Theses

Autonomous Underwater Vehicles (AUVs) are untethered robotic platforms used for tasks such as seafloor mapping, infrastructure inspection, and environmental monitoring. Recent technological advances have produced smaller, more affordable platforms, broadening access to research teams and small companies alike. This miniaturization comes at the cost of them handling drawbacks associated with a more compact machine such as reduced battery capacity as well as limited processing and sensing capabilities. These constraints make small-sized marine vehicle’s reliability critical as they can cause malfunctions, making the loss of a vehicle more likely. Actuator faults are particularly consequential as unintended and unstable control in an …

Una Student Organizations, Student Engagement Center, University Of North Alabama

Documents

No abstract provided.

Polymer Microstructures For Advanced Biomanufacturing, Tongyao Wu

LSU Doctoral Dissertations

With the continued growth of the biopharmaceutical industry, the demand for scalable, robust, and resource-efficient platforms for large-scale mammalian cell culture is amplified. Recent developments in microfluidic technology, such as precise control of the microenvironment, showed the potential to improve the performance of cell culture systems. However, constrained by scalability and operational efficiency, applying such approaches to large-scale cell culture and biopharmaceutical production presents challenges. This dissertation addresses these challenges through three independent but conceptually related technological developments. First, a roll-to-roll (R2R) fabrication process was developed for the scalable production of hollow microcarriers (HMCs). HMCs provide three-dimensional microenvironments suitable for …

Survival Politics On A Working Waterfront: Rules Change Faster Than Prices In The South Texas Shrimp Fishery, Owen Temby, Anthony R. Lima

School of Earth, Environmental, & Marine Sciences Faculty Publications

In 2024–2025, the U.S. and Texas governments raced to save Gulf shrimp. Texas passed a truth-in labeling law for food service in restaurants. Federal agencies added antidumping and countervailing duty orders and new tariffs. This case follows Brownsville and Port Isabel, where dock prices slid while boats and crews aged. We frame the response as survival politics: urgent and improvised moves to keep a livelihood going even when imports set the price. Using legislative hearings, agency notices, local reporting, and port records, we show that rules reset faster than prices. Inventories, contracts, and supplier substitution delay any lift at the …

European Geosciences Union Honors Bianchi, Unh Communications And Public Affairs

UNH Today Archive

No abstract provided.

Adaptive Point Cloud Compression For Multimodal Large-Language Model Tasks, Wenjie Zheng

Computer Science and Engineering Master's Theses

Recently, 3D Multimodal Large Language Models (MLLMs) have enabled language-grounded reasoning over 3D point clouds. However, these billion-parameter models must be deployed on cloud servers, while raw point clouds are extremely large, making efficient compression essential for cloud-based MLLM applications. Existing learning-based point cloud compression methods reduce data size but are not optimized for downstream MLLM tasks, often degrading semantic representations under high compression. To address this, we propose a Parameter-Efficient Fine-Tuning (PEFT) framework to compress point clouds for MLLM tasks. We introduce lightweight adapters either into the frozen PointLLM backbone for feature alignment or into the compression backbone using …

Theoretical Construction And Practical Transformation Of “New Science Popularization” In Process Of Chinese Modernization, Ting Wang, Haonan Du, Tian Zhu, Shihui Yang, Rongting Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

Rooted in the historical context of China’s national strategy-driven science popularization (SP), this study analyzes the local practical integration of “science popularization” and “science and technology communication”. It proposes a theoretical framework for “new science popularization” suitable for a strong state-strong society collaborative governance environment, based on the fundamental hypotheses of “innovation-driven development”, “systemic coupling”, and “nodal creation”. The core argument introduces the “One Body, Two Wings; Three Layers, Three Stages” dynamic system model. This model elucidates how SP, under the unity of national strategy and human development, achieves a spiral evolution—from knowledge interconnection and literacy co-shaping to ecosystem co-creation—through …

Innovation-Oriented Science Popularization (Iosp): A New Paradigm For Frontier Science Communication And Innovation Capacity Building, Yong Ge, Yifei Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Under China’s strategy of becoming a science and technology powerhouse, traditional transmission-oriented science popularization inadequately addresses youth demands for frontier technology practice, constraining source innovation in talent cultivation. Informed by international approaches such as learning by doing and responsible research and innovation (RRI), together with domestic Chinese practices, this study formulates innovation-oriented science popularization (IOSP) as a new paradigm focusing on frontier technologies, deep experiential learning, and innovation capacity building. IOSP establishes a systematic implementation pathway through four integrated dimensions: layered content design, virtual-real fusion, industry-academia-research-user linkage, and multi-scenario coverage. Taking the Shanghai Youth Science Innovation Practice Workstation as a …

Comparative Study On Ai Talent Cultivation In China And The United States: Strategies And Recommendations, Lexuan Li, Ke Wen, Wenjie Liu, Wei Shen, Zhenguo Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI), as the core driving force of the new industrial revolution, has become a strategic pillar for enhancing national competitiveness, with the cultivation of AI talent being a decisive factor. This study systematically compares the AI talent cultivation systems of China and the United States from three perspectives: strategic planning, formal education, and practical domains. The findings reveal that the U.S. has continuously and systematically advanced AI talent cultivation plans at the national level, granted institutions substantial autonomy in talent cultivation with deep integration of industry-academia-research collaboration, and established a well-developed AI innovation and entrepreneurship environment. Accordingly, the …

Transformation Of Open-Source Innovation Governance Of Large Models, Zhe Wang, Jinsong Cai

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial general intelligence (AGI), represented by large-scale models, is a transformative driver of new-quality productive forces, making the effective construction and governance of open-source innovation commons increasingly critical. Yet traditional open-source models are under strain, and existing commons theories require further development. Model training costs rise exponentially with each iteration, while a sustainable profit cycle from innovation to industrial application has not been established, rendering long-term cost-bearing infeasible for individual organizations. The traditional community-enterprise collaboration model, once successful in generating ecosystem value, now faces escalating computing and data costs, uncertain commercial returns, and governance risks related to social and national …

Study Of Full-Process Funding Mechanisms Of National Research Institutes, Baicun Li, Ruhan A, Xiaoxuan Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Funding mechanism is a crucial institutional guarantee for national research institutes to achieve their goals and fulfill their roles. Against the backdrop of new global challenges, such as geopolitical shifts, these institutions shoulder even greater responsibilities. Therefore, to better leverage their roles, this study addresses two key issues. What funding challenges do national research institutes currently face? And what are the characteristics of a funding mechanism that can meet their needs? To answer these questions, firstly, this study systematically analyzes the prominent problems faced by the funding mechanisms of national research institutes in China. Subsequently, it analyzes the characteristics of …

Synergistic Strategies For Regional ‘Zero-Waste City’ Construction, Xiaolong Liu, Zongguo Wen, Yanyan Tang, Xiangwan Du

Bulletin of Chinese Academy of Sciences (Chinese Version)

“Recommendations of the Central Committee of the Communist Party of China for Formulating the 15th Five-Year Plan for National Economic and Social Development” emphasizes deepening cross-administrative cooperation, and improving mechanisms for inter-regional planning coordination, industrial collaboration, and benefit sharing to promote regional linked development. While China’s “zero-waste city” initiative has achieved remarkable results, its long-term sustainability necessitates a shift towards coordinated regional synergy. This requires establishing enduring mechanisms for collaborative solid waste governance that transcend governmental, hierarchical, and departmental boundaries. The ultimate goal is to optimize the allocation of waste treatment resources between neighboring and even non-adjacent regions, foster a …