Digital Commons Network^™

The Role Of User-Generated Content Credibility In Enhancing Digital Emotional Engagement With Brand Identity: A Statistical Analysis Of Consumer Behaviour In E-Commerce, Ali Thamer Ali Al-Ibadi, Fatma Issa Hussien

AUIQ Humanities and Social Sciences

The growing role of user-generated content (UGC) in digital marketplaces has raised critical questions about how perceptions of credibility consumer emotions and behavior. This study examines how UGC credibility dimensions influence digital emotional engagement and subsequent consumer behavior in e-commerce settings. A mixed-method design integrating PLS-SEM, fsQCA, and netnography was applied to data collected from 437 active e-commerce consumers. Review neutrality (β = 0.318) and content accuracy (β = 0.284) were the strongest predictors of emotional engagement, while trust in content (β = 0.342) and sense of familiarity (β = 0.276) most effectively converted engagement into …

Operational Risks Of Insurance Against Banking Fraud, Manal Hameed Majeed

AUIQ Humanities and Social Sciences

This research paper attempts to examine the underlying paradox when using insurance as an instrument of transferring the banking fraud risk along with the introduction of new and complicated operational risks that have often been neglected in academic discussion. A mixed method research design is utilized, which combines quantitative analysis of 320 operational losses, 24 insurance policies and 72 valid questionnaires (from 80 distributed) along with the qualitative analysis based on 25 semi-structured interviews with risk managers, claims officers and legal advisors. The major findings of the research consist of the three-category differentiation of operational risks related to insurance – …

Artificial Intelligence Assets And Training Data Under Ifrs: Challenges And Application Prospects In Iraq, Sadiq Hadi Mohi Al-Mansouri, Farqad Mohammed Bakr, Ahmed Najah Hadi

AUIQ Humanities and Social Sciences

This research aims to address the accounting gap arising from the inadequacy of IFRS, particularly IAS 38, to accommodate the nature of artificial intelligence assets and training data, within the context of emerging economies with a specific application in Iraq. The study adopts a mixed-methods approach (quantitative and qualitative), including a survey of 178 accounting and auditing professionals, academics, and technical experts in Iraq, as well as a case study on the Bank of Baghdad. Results reveal a clear methodological gap in IAS 38 (mean perception 4.04/5), high practical challenges (4.29/5) – most notably the difficulty of distinguishing between research …

Geometry-Conditioned Synthesis Of First-Person Visual Navigation Previews, D Shin

Defensive Publications Series

Systems and methods are described that can generate a predictive, first-person visual preview of a navigation route. A technique can involve conditioning a generative video synthesis framework with structured data, such as geometric and semantic information. This data, which may include three-dimensional pose graphs, depth information, and building footprints, can be used to constrain the synthesis to a physically plausible path. This approach can produce a topologically consistent preview that may be synchronized to a user's pace on a computing device (e.g., a smartphone, smart watch, or augmented reality glasses). The system can also render current conditions, like weather, and …

Constraint-Preserving Rail Aggregation For Routing And Spectrum Assignment In Multi-Fiber Optical Networks, Anonymous

Defensive Publications Series

A path computation method is described for optical networks in which adjacent nodes are joined by two or more parallel fiber pairs, called rails. Parallel rails are collapsed into an aggregate edge only where a node connectivity matrix certifies that the grouped rails are interchangeable for the ingress to egress transition at issue. Routing runs on the collapsed graph, and the aggregate is expanded into constraint-consistent subsets only along selected candidate routes and only at constrained nodes, partial connectivity being one such constraint. The resulting section path is feasible by construction, is validated for optical feasibility once per section rather …

Aerial Threat Interception Via Dynamic And Rapidly Deployable Physical Barriers, Yoel Shimo Arieli

Defensive Publications Series

A modular counter-unmanned-aircraft system is disclosed for intercepting hostile drones with a physical net barrier, without relying on signal jamming or single-shot projectiles. In a swarm embodiment, at least two heavy-lift carrier UAVs flying a synchronized leader-follower formation, using RTK-GPS, suspend and tension a high-strength low-drag net (e.g., UHMWPE/Dyneema) with bottom stabilization weights, forming a moving aerial wall that may also be supported by an aerostat or powered through tethers. Detection combines an acoustic array with a directional parabolic microphone, optical AI tracking on a gimbal-mounted camera, and dynamic masking of the carrier UAVs' own signals. Interception strategies include a …

Apodized Chirped Cladding Grating For Uniform Thermal Load Distribution In High-Power Fiber Lasers (Mitigating Transverse Mode Instability), Yoel Shimo Arieli

Defensive Publications Series

A pump-coupling architecture is disclosed for high-power cladding-pumped fiber lasers to mitigate transverse mode instability (TMI) by flattening the longitudinal heat load. A continuous, longitudinally distributed diffraction grating is formed along the full pumped length of the outer surface of the inner cladding of a double-clad fiber, rather than at a single coupling point. Pump light launched at one end into the outer cladding is progressively coupled into the inner cladding. The local coupling coefficient A(z) is derived analytically by solving an inverse thermal-design problem: a target heat-generation profile is prescribed, here a spatially uniform one, and the required coupling …

Controlled-Release Polyvinyl Alcohol (Pva) Capsules For Pigment Paste Delivery Into Paints And Coating Agents, Yoel Shimo Arieli

Defensive Publications Series

Controlled-release capsule systems are disclosed for delivering pigment paste into coating agents such as paints and plasters, improving on prior-art capsules having a fixed-thickness, passively dissolving polyvinyl alcohol (PVA) wall. Dissolution is engineered through crosslinked, co-polymer-blended or grafted PVA films and can be made responsive to pH, temperature or mechanical shear, including two-phase delay-then-burst release. Capsule architectures include variable wall thickness within one capsule, surface-area-maximising geometries, multi-layer walls, engineered rupture points, capsule-in-capsule and two-component formats, microporous membrane walls and automation-compatible cylindrical formats. The dissolved wall can act as an active material in the coating, providing pigment dispersion, rheology modification, self-healing, …

Chatgpt Employment Anxiety And Career Confidence: Discipline-Contingent Evidence From Malaysian Undergraduates, Fahd A. Raza, Abtar D. Singh, Rabia Anwar, Jonathan Js Kovilpillai, Analisa Hamdan, Fumiko Konno, Husna Hr Azami, Murali Raman

Higher Learning Research Communications

Background: The rapid diffusion of generative artificial intelligence (AI) has raised concerns about graduate employability, yet evidence on how ChatGPT employment anxiety relates to career confidence remains limited, particularly in non-Western contexts.

Objectives: We examined whether ChatGPT employment anxiety is associated with career confidence among Malaysian undergraduates and whether academic discipline or usage intensity moderates that association.

Methods: Using the Malaysian subset of the 2024–2025 Global ChatGPT Student Survey (Aristovnik et al., 2025; N = 315 ChatGPT users), we constructed a four-item employment anxiety index (α = .80) and estimated hierarchical ordinary least squares (OLS) regressions predicting a single-item measure …

China Maritime Report #59: Be Focused, Be Humble, Be Happy: Career Progression, Organization, And Training Of Plan Submariners, Phil Yu, Benjamin Rosen

CMSI China Maritime Reports

Main Findings

Led by the political commissar with the commanding officer serving as deputy, party committees are responsible for major decision-making, maintaining party control, training, and general leadership aboard People’s Liberation Army Navy (PLAN) submarines. While Chinese sources extoll this collective leadership model, it is unclear how this command structure influences decision-making efficacy in practice.

PLAN political officers play a critical role in the leadership and decision making on PLAN submarines, but reportedly lack understanding of submarine operations. Despite attempts to improve the operational competency of political officers, this likely remains a problem for the PLAN submarine force.

The diverse …

50 Years Of Irrigation District Modernization In The Usa -- Then And Now, Charles M. Burt

BioResource and Agricultural Engineering

Irrigation district modernization in the USA has seen changes in management attitudes, hardware, software, and the shouldering of responsibilities for environmental issues that were never envisioned fifty years ago. The pace of modernization is quite variable depending upon the state and location within the state. This paper provides some insights into the evolution of several aspects of modernization over that fifty year time span.

Spartan Daily, October 21, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 26

Noise-Perturbed Federated Learning For Synthetic Wearable Health Monitoring: A Reproducible Multi-Seed Evaluation, Billel Essaid

Mesopotamian Journal of Artificial Intelligence in Healthcare

Federated learning (FL) keeps wearable records local, but shared updates can still disclose participant information. This study evaluates an auditable noise-perturbed FL pipeline for synthetic wearable risk monitoring and examines how client-side clipping, central Gaussian perturbation, participant-held-out validation, and two empirical privacy attacks behave across repeated cohorts. Twelve independently generated cohorts (24 participants; 5,760 half-hour windows each) were analyzed with matched-exposure centralized logistic regression, FedAvg, clipped FedAvg, and clipped-plus-noise FedAvg using 16/4/4 participant train/validation/test splits. Uncertainty was estimated with a two-stage hierarchical bootstrap that preserves each seed's validation-selected threshold. The clipped-plus-noise model achieved mean AUROC 0.903 (95% CI 0.867–0.913), AUPRC …

Real-Time Integration Of Iomt And Patient Digital Twins With Blockchain-Anchored Provenance For Interoperable And Privacy-Preserving Electronic Health Records, Dinesh Goyal, Sheng-Lung Peng

Mesopotamian Journal of Artificial Intelligence in Healthcare

Electronic health records (EHRs) are not designed for continuous physiological streams, dynamic patient-state representations, and verifiable cross-provider exchange. This study presents an integrated healthcare architecture combining Internet of Medical Things (IoMT) telemetry, patient-specific Digital Twins, GRU-based risk analytics, blockchain-anchored provenance, and HL7 FHIR R4 interoperability. Its central contribution is the Synchronized State Update with Risk-Aware Blockchain Anchoring (SSU-RABA) algorithm, which couples Digital Twin synchronization with predicted clinical risk to prioritize asynchronous provenance anchoring without blocking the real-time update path. In controlled experiments with 18,000 synthetic IoMT packets, the Digital Twin achieved a mean update latency of 178 ms and synchronization …

Integrating Imperfect Cross-Domain Segmentation Maps Into Dental Radiograph Classification: Robustness Of Soft Probability Weighting Versus Hard Masking, Raed Bulbul, Mohammed Alhanjouri

Mesopotamian Journal of Artificial Intelligence in Healthcare

Tooth segmentation maps transferred across dental radiograph datasets are imperfect, and the way they are integrated into a diagnostic classifier determines whether their errors reach the dental diagnosis. This study quantifies such errors on external panoramic radiographs and compares hard masking with soft probability weighting for tooth-level classification of dental pathology. A U-Net and a conditional diffusion model were trained on STS-2D-Tooth and frozen; the diffusion model refined the U-Net probability map in six image-conditioned denoising steps. On two independent external datasets from Bangladesh (319 radiographs) and Tunisia (59 radiographs), U-Net maps reached Dice 0.787 and 0.871, and 73% and …

The Price Of Open: Understanding Article Processing Charges And Nsu's Cost-Saving Agreements, Keri Baker

Staff Presentations, Proceedings, Lectures, and Symposia

Open access publishing can raise your work's visibility and impact — but it often comes with a price tag in the form of Article Processing Charges (APCs) that can run into the thousands of dollars. This session, designed for NSU faculty, unpacks the true cost of “open” and shows you how to avoid paying it. We'll cover the Scholarly Communications services available through the Alvin Sherman Library, walk through the major open access models (Gold, Green, Diamond, Hybrid) and how their costs differ, and — most importantly — detail the transformative “Read and Publish” agreements NSU currently holds with publishers …

Advances In The Detection Of Ethyl Carbamate In Fermented Foods, Wang Yue, Zhao Yongpeng, Wang Siqi, Zhang Suyi, Ao Zonghua, Liu Shuliang, Li Jianlong

Food and Machinery

Ethyl carbamate, a group 2A carcinogen, has been widely detected in fermented foods and its safety has drawn increasing attention. Many countries have established limits for ethyl carbamate in fermented foods. This article reviews the contamination situation of ethyl carbamate, systematically summarizes and compares the detection methods of ethyl carbamate reported in both domestic and international literature in recent years, including chromatography, spectroscopy, electrochemical sensor method, paper strip colorimetry, and immunoassay. Finally, this article proposes the future development directions of residual detection technology for ethyl carbamate in fermented foods.

Research Progress On Protein Engineering Of Α-Amylase And Its Major Applications, Feng Yong, Ren Zhengwei

Food and Machinery

Alpha -Amylase is a glycoside hydrolase that efficiently catalyzes the hydrolysis of starch and is widely applied in various industrial fields such as food, textile, and paper industries. It plays a pivotal role particularly in food processing processes such as starch liquefaction, baking improvement, and juice clarification. However, natural α-amylases generally exhibit poor thermal stability, weak acid tolerance, and strong calcium ion dependency, which severely restrict their application in complex industrial environments. In recent years, protein engineering technologies, including directed evolution, rational design, and semi -rational design, have been extensively employed to the structural optimization and performance improvement of α-amylases. …

A Review Of Near-Infrared Spectroscopy For Pesticide Residue Detection In Fruits And Vegetables, Mai Xinyun, Hu Fangyang, He Lingling, Niu Junle, Wei Lanjie

Food and Machinery

Near -infrared spectroscopy (NIRS ) is valuable in pesticide residue detection for fruits and vegetables due to its nondestructive, rapid, and efficient nature. This review summarizes current research status in this field, compares the applicability of different spectral bands and imaging techniques, and analyzes challenges in single and mixed pesticide residue detection alongside enhancement strategies. Additionally, approaches to spectral preprocessing and feature wavelength selection are examined, with performance comparisons between chemometrics and deep learning models. Furthermore, the role of calibration transfer and transfer learning is discussed in improving model generalization across instruments and crop varieties. With continuous advancements in spectral …

Effects Of Microwave Decocting On Release Law Of Flavor Substances In Cod Soup, Zhang Chaomin, Li Xinxi, Feng Jianhui, Xu Yongxia

Food and Machinery

[Objective] To prepare cod soup using cod as the main raw material by microwave heating, with traditional boiling as the control, and to compare and analyze the effects of microwave decocting on the release law of flavor substances in cod soup. [Methods] Cod soup was processed at different durations (15,30,45, and 60 min ), followed by sensory evaluation. The changes in the contents of trichloroacetic acid (TCA )-soluble peptides, amino acid nitrogen, flavor nucleotides, organic acids, inorganic salt ions, and free amino acids in the soup were analyzed. [Results] The contents of TCA -soluble peptides, amino acid nitrogen, flavor nucleotides, …

Differential Analysis Of Volatile Components Between The Flesh And Peel Of Poria Cocos Based On Dynamic Headspace-Gc-Ms, Meng Xue, Xu Hui, Li Huixin, Cheng Chuanyun

Food and Machinery

[Objective] To compare the differences in volatile components between Poria cocos flesh and peel using dynamic headspace -gas chromatography -mass spectrometry (GC-MS). [Methods] Fresh P.cocos was used as the test sample. Volatile components were enriched by dynamic headspace adsorption, and the differences in volatile components between the flesh and peel were analyzed by GC -MS. Principal component analysis and cluster analysis were used to identify the main active components responsible for these differences. [Results] A total of 110 volatile compounds were detected from the peel and flesh of P.cocos, including 27 unique components in the flesh and 28 unique components …

Magnetic Surface Molecularly Imprinted Polymers For The Extraction And Analysis Of Tetracycline Residues From Fish Meat, Ye Run, Zhao Lei, Li Yuanxin, Cai Jing, Sun Wei, Chen Qiong, Zhang Wenqian

Food and Machinery

[Objective] This study aims to prepare magnetic surface molecularly imprinted polymers (MMIPs ) via a sol -gel method using tetracycline (TC) as the template molecule, and to combine them with spectrophotometry for the enrichment and detection of TC residues in fish meat. [Methods] Activated carbon (LAC ) is prepared from Magnolia grandiflora seeds using 60% (w/w) phosphoric acid solution as the activator. Magnetic activated carbon (MLAC ) is then obtained by co -precipitation -based magnetization of LAC. Using MLAC as the carrier and TC as the template molecule, MMIPs are synthesized, and their adsorption performance toward TC is investigated. The …

Geographical Origin Tracing Of Soybeans Using Electronic Tongue And Electronic Eye Combined With Multi-Level Information Fusion Based On Informer-Swin Transformer, Li Xin, Wang Zhiqiang, Han Tianrui, Xu Suchao

Food and Machinery

[Objective] To achieve rapid traceability detection of soybeans from different geographical origins. [Methods] A novel method for rapid soybean origin traceability is proposed based on the fusion of information from electronic tongue and electronic eye. The electronic tongue and electronic eye are used to collect taste fingerprint and visual image information, respectively, from soybeans of different origins. To address the differences between the temporal sequence features of electronic tongue signals and the spatial image features of electronic eye data, Informer and Swin Transformer are respectively employed to extract key features from the two types of data. A dual -modal feature …

Rapid Detection Of Tomato Nutritional Components Based On Nirs And Pso-Lightgbm, Shi Lichun, Wang Songwei, Wang Zhizhong

Food and Machinery

[Objective] To achieve rapid, non -destructive, and high -precision detection of six nutritional components in tomatoes, including dry matter, soluble sugar, total acid, vitamin C, soluble solids, and lycopene. [Methods] A tomato nutritional component detection model based on near -infrared spectroscopy (NIRS ) combined with light gradient boosting machine (LightGBM ) optimized using the particle swarm optimization (PSO ) algorithm (PSO -LightGBM ) was proposed. Using the six nutritional components as detection indicators, near -infrared spectral data (scanning range:400~2 500 nm) were collected from 471 tomato samples. Seven preprocessing methods were compared, and the optimal combination of standard normal variate …

A Non-Destructive Appearance Quality Detection Method For Primary-Processed Crayfish Based On Improved Yolov 11, Wang Xujia, Wang Shuqing, Hu Haoyu

Food and Machinery

[Objective] To achieve rapid and non -destructive online detection of the appearance quality of crayfish during primary processing and to improve detection accuracy and real -time performance in complex scenarios. [Methods] A dataset for crayfish appearance quality is constructed for complex scenarios on primary -processing production lines, and a crayfish appearance quality detection algorithm YOLO -CQ based on YOLOv 11n is proposed. DualConv is introduced to improve the C 3k2 module, enhancing the model's feature extraction capability while optimizing the allocation of computational resources. Deformable attention (DAT ) is integrated into the C 2PSA module, enabling the model to adaptively …

Design And Experimental Study On Drying Performance Of A Belt-Type Gas Jet Impingement Dryer, Liu Xinhan, Ju Haoyu, Zhang Weipeng, Geng Yahui, Miao Huan, Hou Liyuan

Food and Machinery

[Objective] To address the issues of uneven product quality, limited loading capacity, and the inability to achieve continuous drying in existing gas jet impingement dryers, a novel belt -type gas jet impingement dryer is designed to enhance the practicality and drying performance of the equipment. [Methods] The belt -type gas jet impingement dryer mainly consists of an airflow distribution chamber, a drying chamber, a centrifugal fan, a temperature control system, and a transmission system. The conveyor belt speed, airflow temperature, and air velocity can be adjusted according to the different materials. Simulations are conducted using Fluent software for airflow distribution …

Preparation And Performance Characterization Of An Anthocyanin-Based Intelligent Indicating Composite Film For Monitoring The Freshness Of Fish Meat, Zhang Jinfeng, Wang Guanghui, Wang Peng, Chai Yunlei, Gao Zhen

Food and Machinery

[Objective] To develop an anthocyanin -based intelligent film that can rapidly respond to freshness of fish meat and has a certain degree of antibacterial properties. [Methods] Zein (ZH) and chitosan (CS) are used as the film -forming matrix, anthocyanin as the indicator, glycerol as the enhancer, and nisin as the antibacterial additive to prepare the anthocyanin -based intelligent film. With tensile strength (TS) and carbon dioxide transmittance as indicators, three factors -CS/ZH blending ratio, glycerol addition amount, and volume of coating, are selected for single -factor experiments. On the basis of the single -factor experiments, a response surface experiment is …

Analysis And Evaluation Of Nutritional And Flavor Components Of Three Economic Shellfish, Li Hongyan, Liu Zhenlu, Liu Tianhong, Wang Ying, Zhang Shuaizhong, Zhang Tong, Sun Yikang

Food and Machinery

[Objective] To analyze and evaluate the nutritional and flavor components of three shellfish species, namely Ostrea rivularis, Meretrix meretrix, and Scapharca subcrenata, naturally growing by seabed seeding along the Binzhou coast. [Methods] The conventional nutritional components, amino acids, fatty acids, major mineral elements, bioactive substances, free amino acids, nucleotides, quaternary ammonium compounds, organic acids, and volatile flavor compounds of the three shellfish species were analyzed, and their nutritional quality was evaluated. [Results] O.rivularis, M.meretrix, and S.subcrenata all exhibited high protein, low fat, and high ash contents, and were rich in glycogen and taurine. Among them, O.rivularis and M.meretrix had higher …

Ultrasound-Microwave-Assisted Aqueous Two-Phase Extraction Process Optimization And In Vitro Activity Of Flavonoids From Nongxiangxing Baijiu Zaopei, Qian Yuefei, Wang Feng, Wang Yuhong, Long Tingyu, Zhang Yuxuan

Food and Machinery

[Objective] To shorten the extraction time and increase the extraction yield of flavonoids from Nongxiangxing Baijiu Zaopei, and to identify the components and clarify the effectiveness of these flavonoids. [Methods] Nongxiangxing Baijiu Zaopei is used as the raw material and treated by the ultrasound -microwave -assisted aqueous two -phase extraction. With the total flavonoid extraction yield as the indicator, the extraction process is optimized by a response surface experiment. Then, the composition of the flavonoids from Zaopei is identified by ultra -high performance liquid chromatography -triple quadrupole tandem mass spectrometry (UPLC -QQQ -MS). Additionally, their effects on antioxidant reagents, α-amylase, …

Process Optimization For Mixed Lactic Acid Bacteria Fermentation Of Xinjiang Thompson Seedless Grape Leaves And Antioxidant Activity Evaluation Of Fermentation Broth, Abula Kaidiriya, Rahman Nurgul, Wang Xiaoyi, Zhu Xiaoying, Chen Jianling

Food and Machinery

[Objective] To optimize the fermentation process of mixed lactic acid bacteria for grape leaves and to improve their antioxidant activity. [Methods] Using Lacticaseibacillus paracasei TM -27, Lactobacillus brevis KM -6, and Lactobacillus plantarum NG -120 as test strains, the optimal mixed strain ratio is selected by measuring pH, viable bacteria count, DPPH, ABTS+, and hydroxyl free radical scavenging rates, iron -reducing capacity, total polyphenol content, and total flavonoid content. Furthermore, key fermentation process parameters are optimized via single -factor experiments combined with response surface methodology. [Results] The optimal fermentation conditions of mixed lactic acid bacteria are as follows:the volume ratio …