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Articles 841 - 870 of 17067
Full-Text Articles in Entire DC Network
The Shorthorn: February 27, 1987
The Shorthorn: February 27, 1987
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: February 18, 1987
The Shorthorn: February 18, 1987
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: January 27, 1987
The Shorthorn: January 27, 1987
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: January 22, 1987
The Shorthorn: January 22, 1987
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: January 20, 1987
The Shorthorn: January 20, 1987
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: November 5, 1986
The Shorthorn: November 5, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: October 24, 1986
The Shorthorn: October 24, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: October 17, 1986
The Shorthorn: October 17, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: October 9, 1986
The Shorthorn: October 9, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 30, 1986
The Shorthorn: September 30, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 24, 1986
The Shorthorn: September 24, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 18, 1986
The Shorthorn: September 18, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 19, 1986
The Shorthorn: September 19, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 17, 1986
The Shorthorn: September 17, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 9, 1986
The Shorthorn: September 9, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 5, 1986
The Shorthorn: September 5, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 4, 1986
The Shorthorn: September 4, 1986
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
Depoarch: Physics-To-Architecture Modeling And Mitigation Of Thin-Film Deposition Non-Idealities In Advanced Multicore Processors, Gopi K. Tummala
Depoarch: Physics-To-Architecture Modeling And Mitigation Of Thin-Film Deposition Non-Idealities In Advanced Multicore Processors, Gopi K. Tummala
Defensive Publications Series
As semiconductor fabrication scales toward atomic dimensions in sub-3 nm gate-all-around (GAAFET) and complementaryFET (CFET) architectures, physical non-idealities in thin-film deposition increasingly govern chip performance, energy efficiency, and long-term reliability. Traditional computer architecture research has long abstracted the underlying silicon fabric as a set of deterministic, planar geometries characterized by nominal resistance-capacitance (RC) parasitics, treating process variation strictly through empirical statistical abstractions such as Random Dopant Fluctuations (RDF) and sub-wavelength Line Edge Roughness (LER). In reality, the physical mechanisms of Chemical Vapor Deposition (CVD) and Physical Vapor Deposition (PVD) impart severe, deterministic spatial gradients and microscopic structural flaws that break …
Galois-Q: High-Throughput Finite-Field Microarchitectures For Non-Binary Qudit Qec, Qldpc Syndrome Decoding, And Fault-Tolerant Cryptanalysis, Gopi K. Tummala, Ashwin Alapati, Ram Awatar
Galois-Q: High-Throughput Finite-Field Microarchitectures For Non-Binary Qudit Qec, Qldpc Syndrome Decoding, And Fault-Tolerant Cryptanalysis, Gopi K. Tummala, Ashwin Alapati, Ram Awatar
Defensive Publications Series
Fault-tolerant quantum computing (FTQC) is undergoing a paradigm shift from conventional 2-level qubits toward higher-dimensional d-level qudits (d = q = p m) and asymptotically efficient quantum Low-Density ParityCheck (qLDPC) codes. Non-binary qudits dramatically increase physical quantum information density and reduce cross-talk, while qLDPC codes achieve macroscopic code rates and distance with orders-of-magnitude fewer physical qubits than surface codes. Concurrently, faulttolerant quantum cryptanalysis (such as Shor’s algorithm for discrete logarithms over binary elliptic curves) demands massive reversible modular arithmetic over Galois fields F2m. However, both quantum error correction (QEC) decoding and reversible arithmetic face a severe classical computational bottleneck: processing …
Q-Razor: A Variation-Tolerant, Speculative Classical Control Microarchitecture For Cryogenic Fault-Tolerant Quantum Error Correction, Gopi K. Tummala
Q-Razor: A Variation-Tolerant, Speculative Classical Control Microarchitecture For Cryogenic Fault-Tolerant Quantum Error Correction, Gopi K. Tummala
Defensive Publications Series
Fault-tolerant quantum computing (FTQC) requires classical control processors to execute quantum error correction (QEC) syndrome decoding, Pauli frame updates, and pulse orchestration within microsecond-scale physical qubit coherence windows. To resolve the catastrophic thermal and wiring bottlenecks of routing tens of thousands of microwave coaxial lines from room temperature to a dilution refrigerator, modern architectures place classical control and decoding processors at the 4 Kelvin cryogenic stage. However, 4 K cryogenic CMOS introduces an acute architectural tension: severe carrier freeze-out, amplified random discrete dopant fluctuations (RDF), and localized dynamic thermal hot spots induce up to 3× timing delay variability, while the …
Chesscore: A Reconfigurable Domain-Specific Architecture For Accelerating Adversarial Game-Tree Search And Heuristic Learning, Gopi K. Tummala
Chesscore: A Reconfigurable Domain-Specific Architecture For Accelerating Adversarial Game-Tree Search And Heuristic Learning, Gopi K. Tummala
Defensive Publications Series
Adversarial game-tree search—exemplified by classical zerosum games of perfect information such as Tic-Tac-Toe and Chess—represents a foundational benchmark for artificial intelligence and combinatorial optimization. However, executing recursive minimax algorithms with α-β pruning on generalpurpose von Neumann microprocessors suffers from crippling architectural bottlenecks: branch misprediction rates exceeding 30% during search cutoffs, serialized legal move generation, deep recursion stack thrashing, and high-latency memory stalls during transposition table lookups. This paper presents ChessCore, a reconfigurable domainspecific hardware architecture designed for high-throughput adversarial tree search and heuristic learning. Grounded in an architectural lineage originally prototyped on a resourceconstrained Xilinx Spartan-II FPGA (XC2S50 TQ144) using …
Hexatile: A Scalable Heterogeneous Honeycomb-Tiled Manycore Architecture With Decoupled Multi-Plane Interconnects And Adaptive Hardwalls, Gopi K. Tummala
Hexatile: A Scalable Heterogeneous Honeycomb-Tiled Manycore Architecture With Decoupled Multi-Plane Interconnects And Adaptive Hardwalls, Gopi K. Tummala
Defensive Publications Series
Tiled manycore architectures established a modular paradigm that conquered the global wire-delay wall by decomposing monolithic processors into replicated, network-connected compute elements. Early academic prototypes, such as the MIT Raw microprocessor, and commercial implementations, including Tilera TILE64, TILEPro64, and Tile-Gx 100, proved the viability of pipelined scalar operand networks and 2D mesh on-chip interconnects. However, scaling tiled architectures beyond 100 tiles toward the multi-thousand-tile horizon encounters four crippling bottlenecks: (1) the Cartesian Diameter and Hop-Count Wall in 2D Manhattan meshes, which incurs severe routing latency and packet contention; (2) the Technology Utilization and Dark Silicon Wall, where uniform homogeneous tiles …
From Dissertation To Deployment: A Unified Software Platform Operationalizing Clinical-Prediction And Sequential-Security Ai For Healthcare, Olsi Shehu, Damiana Teliti, Jasmin Kevrić, Bekir Karlik
From Dissertation To Deployment: A Unified Software Platform Operationalizing Clinical-Prediction And Sequential-Security Ai For Healthcare, Olsi Shehu, Damiana Teliti, Jasmin Kevrić, Bekir Karlik
Communications of the IIMA
Advances in machine learning for healthcare are abundant, yet most validated models remain confined to research notebooks and never reach secure, usable clinical software. This paper addresses that deployment gap by presenting a unified, security-hardened software platform that operationalizes two complementary streams of doctoral research inside a single, role-based hospital information system. The first stream contributes a clinical-prediction capability: an ultra-hybrid ensemble that couples a quantum-inspired feature transformation, particle-swarm feature selection, and calibrated soft voting for cancer-outcome prediction (96.41% accuracy, AUC-ROC 0.983 on TCGA-BRCA), survival stratification, multi-cancer generalization, and pharmacogenomic drug-response classification (89.31% mean accuracy across 25 compounds). The second …
Comparative Analysis Of Takagi-Sugeno And Mamdani Fuzzy Inference Architectures With Anfis-Based Automated Rule Generation For Eeg-Based Cognitive State Monitoring, Amina Radončić, Mehrija Hasičić, Jasmin Kevrić
Comparative Analysis Of Takagi-Sugeno And Mamdani Fuzzy Inference Architectures With Anfis-Based Automated Rule Generation For Eeg-Based Cognitive State Monitoring, Amina Radončić, Mehrija Hasičić, Jasmin Kevrić
Communications of the IIMA
Fuzzy inference systems have demonstrated considerable promise for EEG-based cognitive state monitoring in neurodegenerative conditions. However, two design decisions significantly influence system performance and clinical applicability: the choice of inference architecture (Takagi-Sugeno vs Mamdani) and the method of rule and membership function generation (manual expert-driven vs data-driven automated). This paper presents a comparative analysis of both dimensions in the context of an EEG-based Alzheimer’s disease monitoring system operating on the ds004504 OpenNeuro dataset (88 subjects: 36 AD, 23 FTD, 29 HC). A Takagi-Sugeno system, implemented as a hybrid FSM-Fuzzy architecture, is compared against a Mamdani equivalent across four axes: inference …
Beyond The Watt: A Unified Stochastic Control And Cross-Layer Architecture For Massive Computing Infrastructure, Gopi K. Tummala
Beyond The Watt: A Unified Stochastic Control And Cross-Layer Architecture For Massive Computing Infrastructure, Gopi K. Tummala
Defensive Publications Series
The relentless expansion of internet-scale services, highdefinition streaming, and distributed data analytics has precipitated the emergence of mega-datacenters housing hundreds of thousands of servers. However, this growth has collided with an insurmountable power and thermal wall: over 50% of datacenters face imminent facility-level power delivery and cooling exhaustion. Underpinning this crisis is the profound energyproportionality gap in modern server architectures: enterprise servers rarely operate at peak utilization and seldom sit completely idle; instead, they spend over 75% of their operational lifecycle operating at 10–50% utilization, yet consume 50–60% of their peak rated power (“doing nothing very well”). Traditional dynamic power …
Sang M. Lee, Unl Business Management; Goal Programming, Mark Griep, Sang M. Lee
Sang M. Lee, Unl Business Management; Goal Programming, Mark Griep, Sang M. Lee
UNL ORCA Interview Series
Dr. Sang Lee was awarded the ORCA in 1980. Sang was born in 1939 in South Korea and grew up in Seoul. He earned his bachelor’s in 1961 at Seoul National University. Next, he traveled over 7000 miles to the US to earn a master’s from Miami University in Oxford, Ohio, and then a somewhat shorter move to the University of Georgia in Athens, where he earned a doctorate in Business Administration and Management. From 1968 to 1976, he rose through the ranks at Virginia Polytechnic Institute in Blacksburg while making a splash for his “goal programming” ideas. In 1976, …
A Fundamental Study Of Fatty Acid Ionic Liquids And Their Effects On Biomolecules, Achismita Dutta
A Fundamental Study Of Fatty Acid Ionic Liquids And Their Effects On Biomolecules, Achismita Dutta
Theses and Dissertations
Fatty acid ionic liquids (FAILs) are a class of ionic liquids (ILs) with relatively low toxicity and potential applications in biological systems. This study examined the interactions of tetramethylguanidinium decanoate, tetramethylguanidinium octanoate, choline decanoate, and choline octanoate with lipid membranes, proteins, and nucleic acids. Membrane leakage experiments using model lipid vesicles showed that decanoate-based FAILs produced greater membrane permeabilization than octanoate-based analogues, consistent with their higher membrane permeability. These effects were stronger for the ILs than for decanoate alone and occurred below the critical micelle concentration (CMC), suggesting that micelle formation may not be essential for membrane disruption. The ability …
A Hybrid Rule-Based And Large Language Model Framework For Extracting Acronym–Definition Pairs From Scientific Literature, Petro Skrypnyk
A Hybrid Rule-Based And Large Language Model Framework For Extracting Acronym–Definition Pairs From Scientific Literature, Petro Skrypnyk
Theses and Dissertations
Authors of scientific papers rely heavily on acronyms and often use them without defining them, making the literature harder to read and index. This thesis develops and evaluates a hybrid rule-based and large language model (LLM) framework that extracts acronym–definition pairs from scientific PDF documents. It extends an earlier Rowan University system that combined a regular-expression parser with a single LLM on 200 papers. That system showed that neither the parser nor the LLM alone is sufficient for accurate extraction of the pairs. The framework is a fully automated pipeline from PDF input to scored results. It compares four LLM …
Effects Of Social Comparison Instructions On Affect, Motivation For Healthy Behavior, And Health Behavior Selections: Guidance To Identify Or Contrast, Raj Harsora
Theses and Dissertations
Engaging in healthy behaviors early in life is crucial for preventing noncommunicable diseases such as type 2 diabetes, cancer, and heart disease. College is an optimal period to establish these habits, yet students often engage in poor dietary and physical activity practices; thus, identifying effective health behavior change techniques for this population is essential. Social comparisons are known to influence health behaviors, yet no research has tested comparison instructions as a behavior change technique, particularly identification versus contrast with upward and downward targets. Using a preregistered protocol (https://osf.io/z29en), we tested whether guiding college students (N=664) to identify with or contrast …
Problematic Technology Use And Quality Of Life In College Students With Varying Levels Of Schizotypy, Joseph P. Skinner
Problematic Technology Use And Quality Of Life In College Students With Varying Levels Of Schizotypy, Joseph P. Skinner
Theses and Dissertations
Problematic Technology Use (PTU) has emerged as a growing concern with technology’s continual integration into daily living. Individuals higher in schizotypy may be particularly vulnerable to the negative consequences of digital environments. The present study cross-sectionally examined associations among schizotypy, PTU, and quality of life (QOL) in 533 college students using structural equation modeling. Consistent with hypotheses, greater total schizotypy was associated with higher PTU and lower QOL. Additionally, positive, negative, and disorganized schizotypy all uniquely predicted poor QOL with the negative domain demonstrating the strongest standardized association. Contrary to hypotheses, PTU did not significantly moderate the relation between total …