bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating Tumor Tissue Modified Viral (TTMV)-HPV DNA for the Early Detection of Anal Squamous Cell Carcinoma Recurrence
Authors: Kabarriti Rafi , Lloyd Shane , Jabalee James , Del Vecchio Fitz Catherine , Tao Randa , Slater Tyler , Jacobs Corbin , Inocencio Sean , Rutenberg Michael , Matthiesen Chance , Neff Kasha , Liu Gene-Fu , Juarez Tiffany M. , Liauw Stanley L.
Published: January 2025

Background: The incidence and mortality of anal squamous cell carcinoma (ASCC) are rising, with greater than 80% of cases linked to human papillomavirus (HPV), primarily HPV16. Post-treatment surveillance can be challenging due to the limitations of anoscopy, digital anal rectal exam (DARE), and imaging. Plasma tumor tissue modified viral (TTMV)-HPV DNA has shown strong sensitivity, specificity, and predictive value in detecting the recurrence of HPV-driven oropharyngeal cancer. Here, we investigate the ability of TTMV-HPV DNA for the early recurrence detection of ASCC. Methods: This retrospective clinical case series included 117 patients with HPV-driven ASCC across 7 U.S. centers, monitored with TTMV-HPV DNA during routine clinical care between March 2020 and June 2024. Physician-reported clinical data and biomarker testing data were combined to create a comprehensive, longitudinal dataset for evaluating test performance metrics. Results: Patients had a median age of 63 years and median post-diagnosis follow-up of 19 months. HPV status was primarily confirmed by TTMV-HPV DNA (52%) or p16 immunohistochemistry (39%). Of those tested for TTMV-HPV DNA pretreatment, 85% had a positive result. TTMV-HPV DNA clearance during or within three months post-treatment was associated with significantly better recurrence-free survival. The per-patient surveillance sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 82.8%, 98.4%, 96.0%, and 92.5%. Of 24 patients with a documented recurrence and a positive TTMV-HPV DNA test, the test was the first evidence of recurrence in 14 patients (58.3%), with a median lead time of 59 days (range: 10–536). TTMV-HPV DNA accurately resolved 94.3% of cases with indeterminate clinical findings. Conclusions: TTMV-HPV DNA testing provides a sensitive and specific approach for detecting patients with recurrent ASCC and resolving the status of patients with indeterminate clinical findings.
Differential Response to Local Stimulator of Interferon Genes Agonist Administration in Tumors with Various Stimulator of Interferon Genes Statuses
Authors: Drzyzga Alina , Czapla Justyna , Matuszczak Sybilla , Łasut-Szyszka Barbara , Cichoń Tomasz , Pilny Ewelina , Jarosz-Biej Magdalena , Smolarczyk Ryszard
Published: January 2025

Background/Objectives: The stimulator of interferon genes (STING) is currently accepted as a relevant target for anti-cancer therapies. Besides encouraging results showing STING agonist-induced tumor growth inhibition, in some types of tumors the effect is less prominent. We hypothesized that higher STING levels in cancer cells and the possibility of its activation determine a greater anti-cancer response. As the local administration of STING agonists induces a systemic reaction, we emphasized the importance of host tumor-induced hematological disruption in the efficiency of the therapeutic response. Methods: We investigated the response to STING stimulation in murine cancer cell lines—melanoma (B16-F10) and breast carcinoma (4T1)—and murine normal cell lines: fibroblast cells (NIH/3T3), endothelial cells (H5V), and macrophages (J774A.1). We assessed STING agonist-induced tumor growth inhibition and the therapy’s impact on the hematological system parameters and systemic cytokine release. Results: Our results underlined the improved therapeutic effect of STING activation in melanoma (B16-F10) over breast carcinoma (4T1) tumors. The outcomes reflected a high dysregulation of the hematological system in mice with developed 4T1 tumors, which may support persistent inflammation and impede STING-induced therapeutic effects. Moreover, among typical cytokines produced following STING activation, CCL2 fold change was the one that increased the most in the serum of B16-F10-bearing mice and differentiated the observed response to the STING agonist between investigated tumor models. Conclusions: The current study provides new evidence of the different responses to STING activation among two poorly immunogenic tumor models. The high abundance of STING in B16-F10 cells and the possibility of its activation is linked with improved therapeutic response in vivo compared to 4T1. The effect also seems to be connected with a less dysregulated hematological system in mice with B16-F10 tumors over mice with 4T1 tumors. This highlighted the need for general insight into tumor-induced local and systemic responses to the efficiency of the proposed therapy.
A Sequencing Overview of Malignant Peripheral Nerve Sheath Tumors: Findings and Implications for Treatment
Authors: Xiao Kangwen , Yang Kuangying , Hirbe Angela C.
Published: January 2025

Malignant peripheral nerve sheath tumors (MPNSTs) are rare but aggressive malignancies with a low 5-year survival rate despite current treatments. MPNSTs frequently harbor mutations in key genes such as NF1, CDKN2A, TP53, and PRC2 components (EED or SUZ12) across different disease stages. With the rapid advancement of high-throughput sequencing technologies, the molecular characteristics driving MPNST development are becoming clearer. This review summarizes recent sequencing studies on peripheral nerve sheath tumors, including plexiform neurofibromas (PNs), atypical neurofibromatous neoplasm with uncertain biologic potential (ANNUBP), and MPNSTs, highlighting key mutation events in tumor progression from the perspectives of epigenetics, transcriptomics, genomics, proteomics, and metabolomics. We also discuss the therapeutic implications of these genomic findings, focusing on preclinical and clinical trials targeting these alterations. Finally, we conclude that overcoming tumor resistance through combined targeted therapies and personalized treatments based on the molecular characteristics of MPNSTs will be a key direction for future treatment strategies.
Neurobiological Mechanisms Underlying Psychological Dysfunction After Brain Injuries
Authors: Unadkat Prashin , Rebeiz Tania , Ajmal Erum , De Souza Vincent , Xia Angela , Jinu Julia , Powell Keren , Li Chunyan
Published: January 2025

Despite the presentation of similar psychological symptoms, psychological dysfunction secondary to brain injury exhibits markedly lower treatment efficacy compared to injury-independent psychological dysfunction. This gap remains evident, despite extensive research efforts. This review integrates clinical and preclinical evidence to provide a comprehensive overview of the neurobiological mechanisms underlying neuropsychological disorders, focusing on the role of key brain regions in emotional regulation across various forms of brain injuries. It examines therapeutic interventions and mechanistic targets, with the primary goal of identifying pathways for targeted treatments. The review highlights promising therapeutic avenues for addressing injury-associated psychological dysfunction, emphasizing Nrf2, neuropeptides, and nonpharmacological therapies as multi-mechanistic interventions capable of modulating upstream mediators to address the complex interplay of factors underlying psychological dysfunction in brain injury. Additionally, it identifies sexually dimorphic factors as potential areas for further exploration and advocates for detailed investigations into sex-specific patterns to uncover additional contributors to these disorders. Furthermore, it underscores significant gaps, particularly the inadequate consideration of interactions among causal factors, environmental influences, and individual susceptibilities. By addressing these gaps, this review provides new insights and calls for a paradigm shift toward a more context-specific and integrative approach to developing targeted therapies for psychological dysfunction following brain injuries.
Argonaute2 and Argonaute4 Involved in the Pathogenesis of Kawasaki Disease via mRNA Expression Profiles
Authors: Lee Zon-Min , Chang Hui-Chuan , Liu Shih-Feng , Huang Ying-Hsien , Kuo Ho-Chang
Published: January 2025

Background: Argonautes (AGOs) are a type of protein that degrade specific messenger RNAs, consequently reducing the expression of a specific gene. These proteins consist of small, single-stranded RNA or DNA and may provide a route for detecting and silencing complementary mobile genetic elements. In this research, we investigated which AGO(s) were involved in Kawasaki disease (KD). Methods and Materials: We obtained mRNA-level gene expression profiles from leukocyte samples that had previously been gathered in another study and uploaded to the NCBI GEO database. The Human Transcriptome Array (HTA 2.0) analysis included 50 children with KD prior to IVIG (KD1), 18 children with KD three weeks post-IVIG (KD3), 18 non-febrile controls (HC), and 18 febrile controls (FC), which were arranged in the quoted publications for all materials and methods in order to collect data. We used the default value of the commercialized microarray tool Partek to perform an analysis of variance and determine any significant fold changes (KD1, KD3, HC, and FC individually). Results: The data revealed that the AGO2 and AGO4 genes displayed significant within-group differences with p = 0.034 and 0.007, respectively. In AGO2, significant differences were observed between KD1 vs. HC + FC with p = 0.034. KD1 appears higher than the other specimens in AGO4, with significant differences between KD1 and HC (p = 0.033), KD1 and FC (p = 0.033), KD1 and KD3 (p = 0.013), and KD1 and HC + FC (p = 0.007). We observed no substantial differences in AGO1 or AGO3 (p > 0.05). There were no significant differences between AGO(s) and coronary artery lesions or intravenous immunoglobulin resistance. (p > 0.05) Conclusion: Endothelial cell inflammation and injury, two basic pathological mechanisms, are thought to be involved in coronary endothelial dysfunction in KD. AGO2 and AGO4 are likely to participate in the endothelial dysfunction of children with KD, with AGO4 potentially playing a key role, while AGO1 and AGO3 appear not to participate.
A Pilot Study on the Main Air Pollutants in a Rural Community in Guanajuato, Mexico, Using a Low-Cost ATMOTUBE® Monitor
Authors: Monroy-Torres Rebeca
Published: January 2025

Air pollution is the second leading cause of death from non-communicable diseases. In Guanajuato, Mexico, the brick industry is the main economic source of polluting emissions, with the greatest health impacts. This sector has initiated government regulatory changes, but there is currently no monitoring of its impact on health. As a first pilot phase, this study’s objective was to measure the main air pollutants in a rural community in Guanajuato, Mexico, using a low-cost ATMOTUBE® monitor and to describe the area and population group at the greatest risk of exposure. An analytical and longitudinal design from September 2023 to February 2024, with the ATMOTUBE® measurement parameters VOC, PM1, PM2.5, PM10, temperature, humidity, and pressure, was used. During the six months of measurement, the results were as follows: a VOC of 4.15 ± 11.79 ppm, an Air Quality Score (AQS) of 65.17 ± 30.11, and a PM1 value of 4.90 ± 18.43 μg/m3. January–February 2024 was the period with the highest concentration of pollutants, with a maximum PM2.5 concentration of 664 ± 12.5 μg/m3, a maximum PM10 concentration of 650 ± 14.8 μg/m3, and a low humidity value (34.1 ± 5.2%). These values were found near two schools. The first inventory of the main air pollutants in this rural community is presented, with children and women being the population at greatest risk. With these data from this pilot phase, it is recommended to start implementing surveillance measures alongside health and nutrition indicators, mainly for the vulnerable population of this rural community.
Finite Element Analysis of Occupant Risk in Vehicular Impacts into Cluster Mailboxes
Authors: Palta Emre , Pachocki Lukasz , Bruski Dawid , Wang Qian , Jaus Christopher , Fang Howie
Published: January 2025

The deployment of cluster mailboxes (CMs) in the U.S. has raised safety concerns for passengers in potential vehicular crashes involving CMs. This study investigated the crashworthiness of two types of CMs through nonlinear finite element simulations. Two configurations of CM arrangements were considered: a single- and a dual-unit setup. These CM designs were tested on flat-road conditions with and without a curb. A 2010 Toyota Yaris and a 2006 Ford F250, both in compliance with the Manual for Assessing Safety Hardware (MASH), were employed in the analysis. The simulations incorporated airbag models, seatbelt restraint systems, and a Hybrid III 50th percentile adult male dummy. The investigations focused on evaluating the safety of vehicle occupants in 32 impact scenarios and under MASH Test Level 1 conditions (with an impact speed of 50 km/h). The simulation results provided insights into occupant risk and determined the primary failure mode of the CMs. No components of the mailboxes were found intruding into the vehicle’s occupant compartment. For all considered cases, the safety factors remained within allowable limits, indicating only a marginal risk of potential injury to occupants posed by the considered CMs.
Solving Nonlinear Energy Supply and Demand System Using Physics-Informed Neural Networks
Authors: Vo Van Truong , Noeiaghdam Samad , Sidorov Denis , Dreglea Aliona , Wang Liguo
Published: January 2025

Nonlinear differential equations and systems play a crucial role in modeling systems where time-dependent factors exhibit nonlinear characteristics. Due to their nonlinear nature, solving such systems often presents significant difficulties and challenges. In this study, we propose a method utilizing Physics-Informed Neural Networks (PINNs) to solve the nonlinear energy supply–demand (ESD) system. We design a neural network with four outputs, where each output approximates a function that corresponds to one of the unknown functions in the nonlinear system of differential equations describing the four-dimensional ESD problem. The neural network model is then trained, and the parameters are identified and optimized to achieve a more accurate solution. The solutions obtained from the neural network for this problem are equivalent when we compare and evaluate them against the Runge–Kutta numerical method of order 5(4) (RK45). However, the method utilizing neural networks is considered a modern and promising approach, as it effectively exploits the superior computational power of advanced computer systems, especially in solving complex problems. Another advantage is that the neural network model, after being trained, can solve the nonlinear system of differential equations across a continuous domain. In other words, neural networks are not only trained to approximate the solution functions for the nonlinear ESD system but can also represent the complex dynamic relationships between the system’s components. However, this approach requires significant time and computational power due to the need for model training. Furthermore, as this method is evaluated based on experimental results, ensuring the stability and convergence speed of the model poses a significant challenge. The key factors influencing this include the manner in which the neural network architecture is designed, such as the selection of hyperparameters and appropriate optimization functions. This is a critical and highly complex task, requiring experimentation and fine-tuning, which demand substantial expertise and time.
Effect of p-InGaN Cap Layer on Low-Resistance Contact to p-GaN: Carrier Transport Mechanism and Barrier Height Characteristics
Authors: Kumar Mohit , Xu Laurent , Labau Timothée , Biscarrat Jérôme , Torrengo Simona , Charles Matthew , Lecouvey Christophe , Olivier Aurélien , Zgheib Joelle , Escoffier René , Buckley Julien
Published: January 2025

This study investigated the low contact resistivity and Schottky barrier characteristics in p-GaN by modifying the thickness and doping levels of a p-InGaN cap layer. A comparative analysis with highly doped p-InGaN revealed the key mechanisms contributing to low-resistance contacts. Atomic force microscopy inspections showed that the surface roughness depends on the doping levels and cap layer thickness, with higher doping improving the surface quality. Notably, increasing the doping concentration in the p++-InGaN cap layer significantly reduced the specific contact resistivity to 6.4 ± 0.8 × 10−6 Ω·cm2, primarily through enhanced tunneling. Current–voltage (I–V) characteristics indicated that the cap layer’s surface properties and strain-induced polarization effects influenced the Schottky barrier height and reverse current. The reduction in barrier height by approximately 0.42 eV in the p++-InGaN layer enhanced hole tunneling, further lowering the contact resistivity. Additionally, polarization-induced free charges at the metal–semiconductor interface reduced band bending, thereby enhancing carrier transport. A transition in current conduction mechanisms was also observed, shifting from recombination tunneling to space-charge-limited conduction across different voltage ranges. This research underscores the importance of doping, cap layer thickness, and polarization effects in achieving ultra-low contact resistivity, offering valuable insights for improving the performance of p-GaN-based power devices.
Evaluation of Non-Invasive Hemoglobin Monitoring in Perioperative Patients: A Retrospective Study of the Rad-67TM (Masimo)
Authors: Helmer Philipp , Steinisch Andreas , Hottenrott Sebastian , Schlesinger Tobias , Sammeth Michael , Meybohm Patrick , Kranke Peter
Published: January 2025

Background: Hemoglobin (Hb) is a crucial parameter in perioperative care due to its essential role for oxygen transport and tissue oxygenation. Accurate Hb monitoring allows for timely interventions to address perioperative anemia and, thus, prevent morbidity and mortality. Traditional Hb measurements rely on invasive blood sampling, which significantly contributes to iatrogenic anemia and poses discomfort and increased infection risks. The advent of non-invasive devices like Masimo’s Rad-67™, which measures Hb using pulse CO-oximetry (SpHb), offers a promising alternative. This study evaluates the accuracy of SpHb compared to clinical standard blood gas analysis (BGA) in perioperative patients. Methods: This retrospective study analyzed 335 paired Hb measurements with an interval <15 min between SpHb and BGA in the operating theater and post-anesthesia care unit of a university hospital. Patients experiencing hemodynamic instability, acute bleeding, or critical care were excluded. Statistical analysis included Bland–Altman plots and Pearson correlation coefficients (PCCs) to assess the agreement between SpHb and BGA. Potential confounders, e.g., patient age, skin temperature, sex, perfusion index (PI), and atrial fibrillation, were also analyzed. Results: The bias of the SpHb compared to BGA according to Bland–Altman was 0.00 g/dL, with limits of agreement ranging from −2.70 to 2.45 g/dL. A strong correlation was observed (r = 0.79). Overall, 57.6% of the paired measurements showed a deviation between the two methods of ≤±1 g/dL; however, this applied to only 33.3% of the anemic patients. Modified Clark’s Error Grid analysis showed 85.4% of values fell within clinically acceptable limits. Sex was found to have a statistically significant, but not clinically relevant, effect on accuracy (p = 0.02). Conclusions: The Rad-67TM demonstrates reasonable accuracy for non-invasive SpHb, but exhibits significant discrepancies in anemic patients with overestimating low values. While it offers potential for reducing iatrogenic blood loss, SpHb so far should not replace BGA in critical clinical decision-making.
Exploring Barrier-Free Esports for Visually Impaired and Sighted Individuals: An Examination of Rapid Key Tapping Speed
Authors: Okinaka Miyono , Wada Tsunehiko
Published: January 2025

Esports involves competition conducted through online computer games, a format that allows individuals to compete together regardless of age, sex, or physique. However, due to preconceived notions about individuals with visual impairments, their abilities are occasionally underestimated or overestimated. Furthermore, while esports heavily depend on visual elements, there has been little clarification on which abilities can be performed equally by both sighted and visually impaired individuals and which abilities differ. This study examined whether rapid tapping speed, a skill potentially utilized in esports, is affected by visual impairment, testing the hypothesis that there is no significant difference in tapping speed between visually impaired and sighted individuals. By identifying skills that show no differences and those that do, this research lays the groundwork for designing environments where all participants can equally enjoy activities, including the appropriate use of handicaps. The study employed a 30 s rapid tapping speed evaluation model in which participants were asked to tap a key on a computer keyboard as quickly as possible. The total number of taps, initial speed, and speed maintenance were measured over three trials, and temporal changes, such as deceleration, were assessed. No significant differences were observed between groups in the total number of taps, initial speed, or speed maintenance, indicating that tapping speed is not dependent on visual impairment. Thus, a rapid tapping ability can be equally demonstrated by both visually impaired and sighted individuals, highlighting the potential for increasing inclusivity in esports. These findings highlight the potential for creating inclusive esports environments that accommodate visually impaired players, thereby promoting broader participation.
Optimized Model Predictive Control-Based Path Planning for Multiple Wheeled Mobile Robots in Uncertain Environments
Authors: She Yang , Song Chao , Sun Zetian , Li Bo
Published: January 2025

Addressing the path planning problem for multiple wheeled mobile robots (WMRs) in uncertain environments, this paper proposes a multi-WMR path planning algorithm based on the fusion of artificial potential field and model predictive control. Firstly, an artificial potential field model for uncertain environments is established based on the APF method. Secondly, an MPC optimal controller that considers the artificial potential field model is designed to ensure the smooth avoidance of moving and concave obstacles by multiple WMRs in uncertain environments. Additionally, a formation control algorithm based on an enhanced APF method and the leader–follower algorithm is proposed to achieve formation maintenance, intra-formation collision avoidance, and obstacle circumvention, thereby ensuring formation stability. Finally, two sets of simulation experiments in uncertain environments demonstrate the effectiveness and superiority of the proposed method compared to the APF-MPC algorithm, enabling the control of multiple WMRs to reach their target positions safely, smoothly, and efficiently. Furthermore, two sets of real-world experiments validate the feasibility of the algorithm proposed in this paper.
Recent Advances in Intelligent Data Analysis and Its Applications, 2nd Edition
Authors: Zhang Chao , Li Wentao , Zhang Huiyan , Zhan Tao
Published: January 2025

The swift growth of cloud computing, the Internet of Things, and the industrial Internet has brought about a surge in complex data analysis tasks that are deeply intertwined with societal and economic progress [...]
Joint Event Detection with Dynamic Adaptation and Semantic Relevance
Authors: Zeng Xi , Luo Guangchun , Qin Ke
Published: January 2025

Event detection is a crucial task in natural language processing, and it plays a significant role in numerous applications, such as information retrieval, question answering, and situational awareness. Real-world tasks typically require robust models that can dynamically adapt to changing data distributions and seamlessly accommodate emerging event types while maintaining high accuracy and efficiency. However, existing methods often face catastrophic forgetting, a significant challenge where models lose previously acquired knowledge when learning new information. This phenomenon hinders models from balancing performance with adaptability, limiting their ability to generalize across dynamic data landscapes. This paper proposes a novel event detection framework, DASR, which aims to enhance the flexibility and diversity of event detection through joint learning and guidance that dynamically adapts to new events and extracts semantic relevance. Firstly, we utilize pre-trained language models (PLMs) trained on general corpora to obtain existing event and type information as global knowledge. Secondly, during prompt fine-tuning for specific tasks, we incorporate an incremental learning module to design incremental prompt templates for newly introduced event types and read out their representations within the PLM. Subsequently, we perform entity recognition and event trigger word detection to extract semantic relevance. In this case, a graph attention mechanism is introduced to enhance the long-distance dependencies within the text (modeled as message passing in the type graph). Additionally, feature fusion integrates entity and event trigger word information into a unified representation. Finally, we validate the effectiveness of the proposed framework through extensive experiments. The experimental results demonstrate that the proposed framework effectively mitigates catastrophic forgetting and significantly improves the accuracy and adaptability of event detection when dealing with evolving data distributions and newly introduced event types.
Lifecycle Management of Hydrogen Pipelines: Design, Maintenance, and Rehabilitation Strategies for Canada’s Clean Energy Transition
Authors: Khaing Myo Myo , Yin Shunde
Published: January 2025

This paper examines the crucial elements of pipeline-based hydrogen transportation, highlighting the particular difficulties and technical developments required to guarantee the sustainable, effective, and safe supply of hydrogen. This study lists the essential phases of hydrogen pipeline management, from design to repair, as the relevance of hydrogen infrastructure in the worldwide energy transition continues to rise. It discusses the upkeep, monitoring, operation, and rehabilitation procedures for aged pipelines with an emphasis on the cutting-edge techniques and technology used to mitigate the dangers related to hydrogen’s unique features, such as leakage and embrittlement. Together with highlighting the legislative and regulatory frameworks that enable the infrastructure, this paper also discusses the material, economic, and environmental difficulties related to hydrogen pipelines. Lastly, it emphasizes how crucial it is to fund research, create cutting-edge materials, and implement sophisticated monitoring systems to guarantee the long-term dependability and safety of hydrogen pipelines. These initiatives will be crucial in allowing hydrogen’s contribution to the future of renewable energy, together with international collaboration on regulatory standards.
An Integrated Strategy for Hybrid Energy Storage Systems to Stabilize the Frequency of the Power Grid Through Primary Frequency Regulation
Authors: Zhou Dan , Zou Zhiwei , Dan Yangqing , Wang Chenxuan , Teng Chenyuan , Zhu Yuanlong
Published: January 2025

As the penetration of renewable energy sources (RESs) in power systems continues to increase, their volatility and unpredictability have exacerbated the burden of frequency regulation (FR) on conventional generator units (CGUs). Therefore, to reduce frequency deviations caused by comprehensive disturbances and improve system frequency stability, this paper proposes an integrated strategy for hybrid energy storage systems (HESSs) to participate in primary frequency regulation (PFR) of the regional power grid. Once the power grid frequency exceeds the deadband (DB) of the HESS, the high-frequency signs of the power grid frequency are managed by the battery energy storage system (BESS) through a division strategy, while the remaining parts are allocated to pumped hydroelectric energy storage (PHES). By incorporating positive and negative virtual inertia control and adaptive droop control, the BESS effectively maintains its state of charge (SOC), reduces the steady-state frequency deviation of the system, and provides rapid frequency support. When the system frequency lies within the DB of the HESS, an SOC self-recovery strategy restores the BESS SOC to an ideal range, further enhancing its long-term frequency regulation (FR) capability. Finally, a regional power grid FR model is established in the RT-1000 real-time simulation system. Simulation validation is conducted under three scenarios: step disturbances, short-term continuous disturbances, and long-term RES disturbances. The results show that the proposed integrated strategy for HESS participation in PFR not only significantly improves system frequency stability but also enhances the FR capability of the BESS.
Green Starch Modification Using Citric Acid: Quinoa, Chickpea, and Cassava Starches
Authors: Arachchi Disala Menuwara , Halim Anthony , Fadimu Gbemisola , Farahnaky Asgar , Majzoobi Mahsa
Published: January 2025

Dietary fibre deficiency has been associated with various global health challenges. Starch, as a main component of many staple foods, is typically very low in fibre content. The primary aim of this research was to increase the dietary fibre and alter the physicochemical properties of some common and emerging starches (cassava, quinoa, and chickpea starch) using eco-friendly modifications. Citric acid, a safe, natural, and environmentally friendly cross-linking agent, was employed for this purpose. Starch samples were treated with 30% citric acid and dry-heated at 130 °C for 5 h. This process resulted in relatively high degrees of substitution: 0.124 for cassava, 0.117 for quinoa, and 0.112 for chickpea starches. The modification successfully produced rich sources of dietary fibre suitable for food applications. It also reduced water interactions, pasting properties, and crystallinity. The highest reduction in swelling power and solubility was observed in quinoa starch (−67.34% and −82.10%, respectively), while the lowest values were obtained for cassava starch (−35.39% and −44.22%). All starches retained their granular integrity; however, they lost birefringence and Maltese crosses and showed some erosions on the granule surfaces. The citrate starches produced in this research offer thermally stable starch suitable for various food applications.
Optimizing Non-Thermal Magnetic Field to Minimize Weight Loss and Tissue Degradation: Identifying Possible Enzyme Inhibition Mechanisms
Authors: Chang Chao-Kai , Adi Prakoso , Mulyani Rizka , Lin Chun-Fu , Listyaningrum Ratna Sari , Santoso Shella Permatasari , Gavahian Mohsen , Hsieh Chang-Wei
Published: January 2025

This research investigates potential mechanisms of novel magnetic field (MF) treatments in inhibiting cell-wall-degrading enzymes, aiming to reduce weight loss and preserve the post-harvest quality of tomatoes (Solanum lycopersicum L.) as a climacteric fruit. The optimization of the processing parameters, including MF intensity (1, 2, 3 mT), frequency (0, 50, 100 Hz), and duration (10, 20, 30 min), was accomplished by applying an orthogonal array design. In particular, the investigation delved into the underlying mechanisms by which MF impedes the activity of tissue-degrading enzymes, such as pectin esterase (PE), polygalacturonase (PG), and cellulase (Cx), during the storage period. The results showed that MF treatment delayed the increase in soluble solids by 1.5 times and reduced titratable acidity by 1.2 times. The optimal treatment conditions—2 mT, 50 Hz, and 10 min—achieved the most significant inhibition of weight loss (4.22%) and maintained tissue integrity for up to 21 days. Optimized MF significantly suppressed enzyme activity, with PE activity reduced by 1.5 times, PG by 2.8 times, and Cx by 2.5 times. Also, cross-sectional images and external appearance demonstrated that MF-treated tomatoes retained their internal tissue structure throughout the extended storage period. These findings suggest that MF treatments can effectively suppress the key enzymes responsible for tissue degradation, ultimately delaying weight loss and softening, preserving post-harvest quality, and contributing to sustainable food production and zero waste.
An Investigation on Passengers’ Perceptions of Cybersecurity in the Airline Industry
Authors: Khan Shah Khalid , Shiwakoti Nirajan , Wang Juntong , Xu Haotian , Xiang Chenghao , Zhou Xiao , Jiang Hongwei
Published: January 2025

In the rapidly evolving landscape of digital connectivity, airlines have integrated these advancements as indispensable tools for a seamless consumer experience. However, digitisation has increased the scope of risk in the cyber realm. Limited studies have systematically investigated cybersecurity risks in the airline industry. In this context, we propose a novel questionnaire model to investigate consumers’ perceptions regarding the cybersecurity of airlines. Data were collected from 470 Chinese participants in Nanjing City. The analytical approach encompassed a range of statistical techniques, including descriptive statistics, exploratory factor analysis, difference analysis, and correlation. The constructs based on Maddux’s Protective Motivation Theory and Becker’s Health Belief Model were reliable, indicating the suitability of the proposed scales for further research. The results indicate that gender significantly influences passengers’ perceptions of airline cybersecurity, leading to variations in their awareness and response to cybersecurity threats. Additionally, occupation affects passengers’ information protection behaviour and security awareness. On the other hand, factors such as age, education level, and Frequent Flyer Program participation have minimal impact on passengers’ cybersecurity perceptions. Based on questionnaire content and data analysis, we propose three recommendations for airlines to enhance consumer cybersecurity perception. First, airlines should provide personalised network security services tailored to different occupations and genders. Second, they should engage in regular activities to disseminate knowledge and notices related to network security, thereby increasing passengers’ attention to cybersecurity. Third, increased resources should be allocated to cybersecurity to establish a safer cyber environment. This study aims to improve the quality of transportation policy and bridge the gap between theory and practice in addressing cybersecurity risks in the aviation sector.
Utilisation of High Molecular Weight and Ultra-High Molecular Weight Hyaluronan in Management of Glioblastoma
Authors: Salagean Alex-Adrian , Moldovan Cezara-Anca-Denisa , Slevin Mark
Published: January 2025

HA (hyaluronan) has been considered in recent years as a naturally occurring modifiable gel-like scaffold that has the capability to absorb and release drugs over an extended period of time making it suitable as a potential chemotherapeutic delivery agent. Considering the limited treatment options available in the treatment of glioblastoma, in this review, we discuss the novel utilisation of ultra-high molecular weight HA—originally identified as a mechanism for maintaining longevity in the naked mole-rat—as both a protective and extracellular matrix-optimizing colloidal scaffold, and a means to deliver therapy in resected brain tumours. The unique properties of this unique form of HA cross-linked gel indicate potential future use in the prevention and treatment of both proliferative-based and inflammation-driven disease.
Transcriptome Analysis of Muscle Growth-Related circRNA in the Pacific Abalone Haliotis discus hanna
Authors: Huang Jianfang , He Jian , She Zhenghan , Zhou Mingcan , Li Dongchang , Chen Jianming , Ke Caihuan
Published: January 2025

(1) Background: Animal growth is a complex process, involving the coordination of a wide variety of genes, non-coding RNAs, and pathways. Circular RNAs (circRNAs) belong to a novel class of functional non-coding RNAs (ncRNAs). They have a distinctive ring structure and are involved in various biological processes, including the proliferation, differentiation, and apoptosis of muscle cells. The Pacific abalone Haliotis discus hannai is an economically valuable mollusk species cultivated in China. However, the modulation of muscle growth by circRNAs in this species is poorly understood. (2) Methods: In this study, we analyzed the muscle transcriptomes of 6 H. discus hannai specimens: three small (S_HD) and three large (L_HD) groups via RNA-seq and bioinformatics technology. (3) Results: The results indicated the presence of 11,744 circRNAs in abalone adductor muscle. Furthermore, the L_HD group had 250 significantly differentially expressed circRNAs (106 upregulated and 144 downregulated) relative to the S_HD group. Moreover, the bioinformatics assessment revealed that circRNAs were related to lipid transporter activity, lipid biosynthetic process, fat digestion and absorption, the single-organism metabolic process, the thyroid hormone signaling pathway, and the hippo signaling pathway, which regulates growth. Seventeen key candidate circRNAs were identified, and a core functional circRNA-miRNA-mRNA network associated with abalone muscle growth was described. Gene expression was verified using qRT-PCR, confirming the accuracy of the RNA-seq data. (4) Conclusion: Overall, this investigation furnishes novel evidence for the potential muscle growth modulatory mechanisms in Pacific abalone. These high-quality circRNA data of abalone muscle provide a reference for functional studies on the abalone genome.
Effect of Changing Sand Content on Liquid Limit and Plasticity Index of Clay
Authors: Qusai AlHonati , Szendefy János , Vásárhelyi Balázs
Published: January 2025

Middle–Late Miocene clay layers, which occur in several places in Budapest (Hungary), contain varying amounts of sand, with predominance of sand in some cases. In this paper, the impact of this variability on the engineering properties of these clays is investigated, and comprehensive analysis is conducted on clay samples. The results of measurements are presented; in addition to the analysis of plastic soil (i.e., liquid limit, plasticity index), the grain size distribution was also investigated by performing standard geotechnical laboratory tests, including Atterberg limit tests and grain size analyses. Statistical analysis of the results was employed to define correlations between sand contents and both the liquid limit and the plasticity index. It was shown that both the plasticity index and the liquid limit decrease linearly with increasing sand content. This finding aligns with observations reported in the international literature. A general equation was derived to quantify this relationship, setting up a method for better estimation of the plastic properties of similar clay soils based on their sand content and a better understanding of the engineering geological behaviors of clay soils with varying sand content, which as a result have a practical implication for geotechnical engineers.
Modulated Light Elicitation and Associated Physiological and Molecular Processes in Phenolic Compounds Production in Ocimum basilicum L. Microgreens
Authors: Teliban Gabriel-Ciprian , Pavăl Naomi-Eunicia , Mihalache Gabriela , Burducea Marian , Stoleru Vasile , Lobiuc Andrei
Published: January 2025

Microgreens represent a valuable source of health-promoting compounds and also a research avenue, since such organisms have a very high plasticity related to environmental cues, allowing biotechnological development with low costs. Ocimum basilicum L. species naturally synthesize valuable, phenolic compounds, among which rosmarinic acid is most prominent. Within the current research, basil plantlets were grown for 10 days under either full spectrum light (white light) or modulated blue/red/far-red/UV spectrum elicitation with an additional factorization, by applying fertilization. Biomass accumulation reached up to 0.8 g/20 plantlets, while chlorophyll fluorescence was in the 0.75–0.78 range and remained uniform across treatments, indicating that no significant stress was exerted under modified light treatment. However, total phenolic contents and, in particular, rosmarinic acid contents, were markedly enhanced (up to 7.5 mg/g in the red cultivar) under modulated light treatment and fertilization, compared to full spectrum light. Moreover, in the red cultivar, gene expression was enhanced, 1.3–6.3 fold for genes coding for enzymes involved in phenylpropanoid synthesis pathways, such as phenylalanine ammonia lyase (PAL), tyrosine aminotransferase (TAT), Catechol-O-methyltransferase (COMT) and rosmarinic acid synthetase (RAS). Overall, light modulation coupled with fertilization led to the production of basil microgreens with up to 10% more total phenolics and up to 25% more rosmarinic acid. The results show that, using relatively simple growth equipment and setup, synthesis of health related, valuable compounds can be modulated in microgreens and, hence, serves as an avenue for businesses to develop cost effective biotechnological processes.
Prevalent and Drug-Resistant Phenotypes and Genotypes of Escherichia coli Isolated from Healthy Cow’s Milk of Large-Scale Dairy Farms in China
Authors: Gao Jiaojiao , Wu Yating , Ma Xianlan , Xu Xiaowei , Tuerdi Aliya , Shao Wei , Zheng Nan , Zhao Yankun
Published: January 2025

Escherichia coli is a common cause of mastitis in dairy cows, which results in large economic losses to the livestock industry. The aim of this study was to investigate the prevalence of E. coli in raw milk in China, assess antimicrobial drug susceptibility, and identify key antibiotic resistance genes carried by the isolates. In total, 350 raw milk samples were collected from large-scale farms in 16 provinces and cities in six regions of China to assess the resistance of E. coli isolates to 14 antimicrobial drugs. Among the isolates, nine resistance genes were detected. Of 81 E. coli isolates (23.1%) from 350 raw milk samples, 27 (33.3%) were multidrug resistant. Antimicrobial susceptibility testing showed that the 81 E. coli isolates were resistant to 13 (92.9%) of the 14 antibiotics, but not meropenem. The resistance gene blaTEM was highly distributed among the 27 multidrug-resistant isolates with a detection rate of 92.6%. All isolates carried at least one resistance gene, and 19 patterns of resistance gene combinations with different numbers of genes were identified. The most common gene combinations were the one-gene pattern blaTEM and the three-gene pattern blaTEM-blaPSE-blaOXA. The isolation rate of E. coli in raw milk and the identified resistance genes provide a theoretical basis for the rational use of antibiotics by clinical veterinarians.
Characteristics and Functions of PmHDS, a Terpenoid Synthesis-Related Gene in Pinus massoniana Lamb.
Authors: Ren Xingyue , Zhao Yulu , Yu Wenya , Zhang Jingjing , Huang Zichen , Zhang Mengyang , Yu Qiong , Ji Kongshu
Published: January 2025

Terpenoids, abundant and structurally diverse secondary metabolites in plants, especially in conifer species, play crucial roles in the plant defense mechanism and plant growth and development. In Pinus massoniana, terpenoids’ biosynthesis relies on both the mevalonate (MVA) pathway and the 2-methyl-D-erythritol-4-phosphate (MEP) pathway, with 1-hydroxy-2-methyl-2-(E)-butenyl-4-diphosphate synthase (HDS) catalyzing the sixth step of the MEP pathway. In this study, we cloned and conducted bioinformatics analysis of the PmHDS gene from P. massoniana. The results showed that PmHDS shares homology with HDS proteins from other species. Analysis of tissue expression patterns indicated that PmHDS exhibits the highest expression level in xylem tissue, followed by stems, with significantly lowest expression in the apical meristem. Treatment with NaCl, abscisic acid (ABA), ethylene (ETH), methyl jasmonate (MeJA), and salicylic acid (SA) upregulated the expression of PmHDS. Furthermore, we successfully cloned the PmHDS promoter (about 2220 bp) and integrated it into a GUS reporter vector, which resulted in GUS activity being observed in various tissues of Arabidopsis thaliana. Overexpression of the PmHDS gene in A. thaliana significantly increased the content of carotenoids, chlorophylls a and b, and related enzyme activities, as well as the levels of terpenoid derivatives such as cytokinin (CTK), gibberellic acid (GA), and ABA, thereby enhancing the resistance to those abiotic stresses. These findings suggest that PmHDS plays an important role in the terpenoid synthesis pathway. This study provides a theoretical basis for understanding the biosynthesis of terpenoids and lays a foundation for future research on the regulation of terpene synthesis and resistance in molecular breeding.
Evaluation of Structure Prediction and Molecular Docking Tools for Therapeutic Peptides in Clinical Use and Trials Targeting Coronary Artery Disease
Authors: Alotaiq Nasser , Dermawan Doni
Published: January 2025

This study evaluates the performance of various structure prediction tools and molecular docking platforms for therapeutic peptides targeting coronary artery disease (CAD). Structure prediction tools, including AlphaFold 3, I-TASSER 5.1, and PEP-FOLD 4, were employed to generate accurate peptide conformations. These methods, ranging from deep-learning-based (AlphaFold) to template-based (I-TASSER 5.1) and fragment-based (PEP-FOLD), were selected for their proven capabilities in predicting reliable structures. Molecular docking was conducted using four platforms (HADDOCK 2.4, HPEPDOCK 2.0, ClusPro 2.0, and HawDock 2.0) to assess binding affinities and interactions. A 100 ns molecular dynamics (MD) simulation was performed to evaluate the stability of the peptide–receptor complexes, along with Molecular Mechanics/Poisson–Boltzmann Surface Area (MM/PBSA) calculations to determine binding free energies. The results demonstrated that Apelin, a therapeutic peptide, exhibited superior binding affinities and stability across all platforms, making it a promising candidate for CAD therapy. Apelin’s interactions with key receptors involved in cardiovascular health were notably stronger and more stable compared to the other peptides tested. These findings underscore the importance of integrating advanced computational tools for peptide design and evaluation, offering valuable insights for future therapeutic applications in CAD. Future work should focus on in vivo validation and combination therapies to fully explore the clinical potential of these therapeutic peptides.