bluuebunny/crossref_metadata_2025 huggingface dataset:
Reaction Mechanism and Kinetics of Hydrothermal Liquefaction at Sub- and Supercritical Conditions: A Review
Authors: Ahmad Fiaz , Doddapaneni Tharaka Rama Krishna C. , Toor Saqib Sohail , Kikas Timo
Published: February 2025

Hydrothermal liquefaction (HTL) technology has garnered immense research interest due to its potential to convert wet biomass into petroleum-like biocrude. Understanding the reaction mechanism and kinetics of HTL is crucial for understanding the process better, estimating the yields, and scaling up. On the other hand, reaction mechanisms and kinetics largely depend upon the feedstock composition and reaction parameters of HTL. However, the literature lacks an in-depth analysis of the reaction mechanism and kinetics concerning biocrude yield and product distribution for a single to multi-feedstock scenario. This review focuses on the reaction mechanisms of various biomolecular components of lignocellulosic biomass, proteins, and lipids in the HTL process under sub- and supercritical conditions. Furthermore, the HTL reaction kinetics, effect of reaction conditions on reaction mechanisms, and product distribution are explored. The findings agree that reaction temperature and retention time follow inverse relations for high biocrude yield. A high heating rate is recommended for higher biocrude yield to avoid cracking and recombination processes. A high solvent/feedstock ratio, depending on feedstock composition, was favored for optimum biocrude yield. In addition, catalysts and reaction solvents, especially organic solvents, effectively contribute towards high biocrude yield, even up to 70%. Heterogeneous catalysts are favored due to reusability and improved biocrude quality. Also, hydrothermal co-liquefaction (multi-feedstock) use for improving biocrude yield was debated. A detailed discussion on the reaction kinetics of various biomolecular components in the HTL process revealed that reactions in HTL normally follow the first-order rate law. Finally, the authors outline the pointers for future research in HTL for industrial upscaling.
Therapeutic Applications of Programmed Death Ligand 1 Inhibitors in Small Cell Lung Cancer
Authors: Nabipur Leena , Mouawad Michael , Venketaraman Vishwanath
Published: February 2025

Background: Small cell lung cancer (SCLC) is an aggressive cancer with rapid progression, limited treatment success, and high relapse rates. Chemotherapy and radiation are standard treatments but often result in chemoresistance. PD-L1 inhibitors have gained attention for their role in enhancing tumor immunity. Methods: This review summarizes clinical trials involving PD-L1 inhibitors, such as atezolizumab, durvalumab, pembrolizumab, and nivolumab, in SCLC treatment. Key trials include IMpower133, CASPIAN, KEYNOTE-604, and CheckMate 331, focusing on survival outcomes and treatment efficacy. Results: Studies such as IMpower133 and CASPIAN demonstrate improved overall survival when PD-L1 inhibitors were added to platinum-based chemotherapy. However, outcomes in trials such as KEYNOTE-604 and CheckMate 331 varied, showing the need for refined patient selection. Adverse events (AEs) associated with these treatments were also noted. PD-L1 inhibitors offer promise in SCLC treatment, but efficacy varies across trials and patient groups. Future research should focus on better patient selection and overcoming resistance mechanisms. Addressing immune-related AEs is essential for optimizing treatment strategies.
In Vitro Effects of Low-Level Laser Therapy on the Viability and Secretory Activity of Resting Macrophages
Authors: Matuła Aleksandra , Lizak Amelia , Stodolak-Zych Ewa , Bac Aneta , Homa Joanna , Stenka Beata , Ścisłowska-Czarnecka Anna
Published: February 2025

Background/Objectives: Low-level laser therapy (LLLT) covers a wide range of parameters in terms of laser properties and dosage, which is important for its effects. It is important to select safe, optimal irradiation conditions to obtain the desired therapeutic effect of LLLT on cells. This article is focused on the selection of favourable (biostimulating) exposure conditions for LLLT, which are the beam application method (continuous [C] or pulsed [P] laser beam), radiation power and LLLT dose, on the viability and secretory activity regarding resting macrophages of the RAW 264.7 cell line. Methods: RAW 264.7 macrophages were seeded on 24-well tissue culture. ASTAR PhysioGo 400C apparatus with a spot applicator generating electromagnetic radiation in the infrared light range of 808 nm and power of 100 mW and 200 mW was used for laser irradiation of macrophages. Cells were treated with different doses of constant radiation 5 J/cm2/well or 10 J/cm2/well. Results: It was shown that the most beneficial radiation parameters for cells were obtained with a pulsed laser beam of 200 mW power and a dose of 5 J/cm2, which caused an increase in macrophage adhesion and viability, as well as an increase in NO secretion by macrophages and their TOS, with a simultaneous decrease in the secretion of TNF-α, MCP-1 and MMP-9 by cells. Conclusions: The research results presented above indicate that the effect of LLLT on resting macrophages modulates their biological activity, and the intensity of photobiostimulation depends on the irradiation parameters, including wavelength, power, dose and method of laser beam application.
Unveiling the Impact of COVID-19 on Ovarian Function and Premature Ovarian Insufficiency: A Systematic Review
Authors: Voros Charalampos , Mavrogianni Despoina , Minaoglou Aspasia , Papahliou Anthi-Maria , Topalis Vasileios , Varthaliti Antonia , Mathiopoulos Dimitris , Kondili Panagiota , Darlas Menelaos , Pantou Agni , Sina Sophia , Athanasiou Antonia , Athanasiou Diamantis , Loutradis Dimitrios , Daskalakis Georgios
Published: February 2025

Background/Objectives: Premature ovarian insufficiency (POI) is a disorder that affects women under the age of 40. It is characterized by decreased ovarian function, elevated gonadotropin levels, and decreased estradiol. SARS-CoV-2 disrupts ovarian function largely through oxidative stress, inflammation, and immunological dysregulation, which are enhanced by its entrance into ovarian tissues via ACE2 receptors. The purpose of this comprehensive review was to investigate the molecular pathways that link SARS-CoV-2 infection to POI and analyze their consequences for ovarian reserve and fertility. Methods: We searched databases such as PubMed, Scopus, EMBASE, and Google Scholar for papers published between 2020 and 2024. Eligible studies investigated the effects of SARS-CoV-2 on ovarian function, including the hormonal indicators anti-Müllerian hormone (AMH) and follicle-stimulating hormone (FSH), oocyte quality, and ovarian reserve. The data were compiled into a complete examination of molecules and clinical findings. Increased inflammatory indicators, such as interleukin-6 and NLRP3 inflammasome activation, impaired ovarian homeostasis. Anti-SARS-CoV-2 antibodies in follicular fluid could have impaired oocyte quality. Observational studies showed transitory decreases in AMH and changed FSH levels following infection, with variable effects on antral follicle count and IVF results. Changes in lipid profiles and VEGF expression emphasized the virus’s influence on ovarian angiogenesis and the ovarian microenvironment. Conclusions: SARS-CoV-2 infection impairs ovarian function by causing oxidative stress, inflammation, and hormonal disruption, thereby increasing the incidence of POI. While most alterations are temporary, the long-term reproductive consequences remain unknown. Continuous monitoring and specific treatments are required to reduce the reproductive risks associated with COVID-19.
A Personalized Multimodal BCI–Soft Robotics System for Rehabilitating Upper Limb Function in Chronic Stroke Patients
Authors: Premchand Brian , Zhang Zhuo , Ang Kai Keng , Yu Juanhong , Tan Isaac Okumura , Lam Josephine Pei Wen , Choo Anna Xin Yi , Sidarta Ananda , Kwong Patrick Wai Hang , Chung Lau Ha Chloe
Published: February 2025

Multimodal brain–computer interfaces (BCIs) that combine electrical features from electroencephalography (EEG) and hemodynamic features from functional near-infrared spectroscopy (fNIRS) have the potential to improve performance. In this paper, we propose a multimodal EEG- and fNIRS-based BCI system with soft robotic (BCI-SR) components for personalized stroke rehabilitation. We propose a novel method of personalizing rehabilitation by aligning each patient’s specific abilities with the treatment options available. We collected 160 single trials of motor imagery using the multimodal BCI from 10 healthy participants. We identified a confounding effect of respiration in the fNIRS signal data collected. Hence, we propose to incorporate a breathing sensor to synchronize motor imagery (MI) cues with the participant’s respiratory cycle. We found that implementing this respiration synchronization (RS) resulted in less dispersed readings of oxyhemoglobin (HbO). We then conducted a clinical trial on the personalized multimodal BCI-SR for stroke rehabilitation. Four chronic stroke patients were recruited to undergo 6 weeks of rehabilitation, three times per week, whereby the primary outcome was measured using upper-extremity Fugl-Meyer Motor Assessment (FMA) and Action Research Arm Test (ARAT) scores on weeks 0, 6, and 12. The results showed a striking coherence in the activation patterns in EEG and fNIRS across all patients. In addition, FMA and ARAT scores were significantly improved on week 12 relative to the pre-trial baseline, with mean gains of 8.75 ± 1.84 and 5.25 ± 2.17, respectively (mean ± SEM). These improvements were all better than the Standard Arm Therapy and BCI-SR group when retrospectively compared to previous clinical trials. These results suggest that personalizing the rehabilitation treatment leads to improved BCI performance compared to standard BCI-SR, and synchronizing motor imagery cues to respiration increased the consistency of HbO levels, leading to better motor imagery performance. These results showed that the proposed multimodal BCI-SR holds promise to better engage stroke patients and promote neuroplasticity for better motor improvements.
Numerical Response of Advance Support Structures in TBM Tunneling Through Altered Zones: A Case Study
Authors: Wang Jianfeng , Yao Zhigang , He Junyang , Fan Lei , Fang Yong , Fang Kejun , Yang Zhiyong , Yan Jiabin
Published: February 2025

Tunnel Boring Machines (TBMs) play a vital role in modern tunnel construction due to their efficiency and adaptability across various geological conditions. However, when tunneling through geologically altered zones, such as fault zones and soft ground, significant challenges arise, including increased wear, reduced advance rates, and heightened safety risks. This study explores advanced support measures for TBM excavation in altered zones, focusing on deformation characteristics and the bearing capacity of different support strategies in both normal and altered rock masses. Through numerical simulations on the FLAC3D platform, we compare the stress distribution and disturbance evolution in the surrounding rock with and without pre-reinforcement, as well as with single-layer and double-layer pipe-shed supports. The findings reveal that a lack of advance support leads to severe surrounding rock instability and an increased risk of TBM jamming. While single-layer pipe roofing offers partial mitigation, its limited stiffness constrains its effectiveness. In contrast, double-layer large pipe roofing provides superior bending stiffness, effectively minimizing settlement and deformation while significantly reducing the likelihood of TBM jamming. These findings offer practical guidance for the design and implementation of robust TBM support systems, enhancing tunneling safety and efficiency in complex geological conditions.
Stable Fluorenyl Radicals Showing Tunable Doublet Emission
Authors: Hou Xudong , Xu Tingting , Zhu Jun , Wu Shaofei , Wu Jishan
Published: February 2025

Neutral organic radicals with intrinsic spin-allowed doublet emission have emerged as a promising class of luminescent materials, garnering significant research interest. However, the development of stable luminescent radicals with tunable emission remains challenging. Herein, we present the synthesis of a series of 9-(2,4,6-trichlorophenyl)-substituted fluorenyl radicals functionalized with various substituents at the 3,6-positions. These radicals exhibit enhanced stability through efficient spin delocalization and kinetic protection. Notably, they display red-shifted photoluminescence compared to traditional polychlorotriphenylmethyl radicals, with maximum emission wavelengths ranging from 679 nm to 744 nm. The mechanisms underlying the doublet emission, as well as their electrochemical properties, have been thoroughly investigated.
Liquid-Gated Graphene Field Effect Transistor for High-Performance Label-Free Sensing of Polycyclic Aromatic Hydrocarbons
Authors: Kou Cuiyun , Xu Xiaofeng , Bao Yu , Guo Zhinan , Niu Li
Published: February 2025

Polycyclic aromatic hydrocarbons (PAHs) are one of the most toxic environmental pollutants, which are very harmful to the human body. It is crucial to find convenient and effective detection methods of PAHs for preventing and controlling environmental pollution. Low-dimensional material-based field effect transistor (FET) sensors exhibit the advantages of a small size, simple structure, fast response, and high sensitivity. In this work, graphene (Gr) has been selected as the channel material for FET sensors for PAH detections. Through π-π electron stacking interactions, PAHs could be spontaneously adsorbed on the surface of the Gr and affect its electronic carrier transport behavior. Based on the relationship between the concentrations and the changes in the Dirac point of the Gr, the sensor achieved an effective response to PAHs in a broad range from 10−10 to 10−6 mol/L and a limit of detection of 10−10 mol/L was obtained, which was lower than that provided by the World Health Organization (3.46 × 10−9 mol/L), in drinking water. The results demonstrate a great application of the FET sensors in environmental analysis, and provide an important way for rapid and in situ monitoring of PAHs.
The Influence of Nanocoatings on the Wear, Corrosion, and Erosion Properties of AISI 304 and AISI 316L Stainless Steels: A Critical Review Regarding Hydro Turbines
Authors: Reza Kashyzadeh Kazem , Ridha Waleed Khalid Mohammed , Ghorbani Siamak
Published: February 2025

In the current study, the authors have listed the causes of common failures in hydro turbine blades. In the following, coatings, as one of the practical solutions that can be utilized in the hydropower industry, were selected for further investigation. In this regard, nanocoating technology is used to prevent the above-mentioned failures, as well as to extend the service lifetime of turbine blades, to increase the inspection time, i.e., the overhaul intervals, and to reduce repair costs. Therefore, firstly, the raw materials of runner blades in different types of turbines were checked. The collected data revealed that this equipment is usually made of stainless steel (i.e., 304 and 316L). Therefore, the main focus of the current research was a general investigation of the effects of different nanocoatings on the material properties, including the wear, corrosion, and erosion, of 304 and 316L steels. Finally, a coating process used in this industry that is suitable for overhaul rather than initial construction was investigated. The advantages of using nanocoatings compared to traditional coatings in this industry were enumerated. In addition, the effects of single-layer and multi-layer coatings with different compositions on the corrosion, wear, and erosion properties of each of these stainless steels were discussed. Eventually, considering the gaps in past research and summarizing the collected results, a future research direction was proposed, including different combinations of materials to create new nanocoatings (with different percentages of nano alumina and titanium carbide).
Strained Graphene as Pristine Graphene with a Deformed Momentum Operator
Authors: Valenzuela David , Raya Alfredo , García-Muñoz Juan D.
Published: February 2025

We explore the equivalence between the low-energy dynamics of strained graphene and a quantum mechanical framework for the 2D Dirac equation in flat space with a deformed momentum operator. By considering some common forms of the anisotropic Fermi velocity tensor emerging from the elasticity theory, we associate such tensor forms with a deformation of the momentum operator. We first explore the bound states of charge carriers in a background uniform magnetic field in this framework and quantify the impact of strain in the energy spectrum. Then, we use a quadrature algebra formula as a mathematical tool to analyze the impact of the deformation attached to the momentum operator and identify physical consequences of such deformation in terms of energy modifications due to the applied strain.
Measurement of Intratumor Heterogeneity and Its Changing Pattern to Predict Response and Recurrence Risk After Neoadjuvant Chemotherapy in Breast Cancer
Authors: Zhu Mingxi , Wu Qiong , Geng Xiaochuan , Xie Huaying , Wang Yan , Wu Ziping , Lin Yanping , Zhou Liheng , Xu Shuguang , Ye Yumei , Yin Wenjin , Hua Jia , Lu Jingsong , Wang Yaohui
Published: February 2025

The heterogeneity of breast tumors might reflect biological complexity and provide prediction clues for the sensitivity of treatment. This study aimed to construct a model based on tumor heterogeneity in magnetic resonance imaging (MRI) for predicting the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC). This retrospective study involved 217 patients with biopsy-confirmed invasive breast cancer who underwent MR before and after NAC. Patients were randomly divided into the training cohort and the validation cohort at a 1:1 ratio. MR images were processed by algorithms to quantify the heterogeneity of tumors. Models incorporating heterogeneity and clinical characteristics were constructed to predict pCR. The patterns of heterogeneity variation during NAC were classified into four categories abbreviated as the heterogeneity high-keep group (H_keep group), heterogeneity low-keep group (L_keep group), heterogeneity rising group, and decrease group. The average heterogeneity in patients achieving pCR was significantly lower than in those who did not (p = 0.029). Lower heterogeneity was independently associated with pCR (OR, 0.401 [95%CI: 0.21, 0.76]; p = 0.007). The model combining heterogeneity and clinical characteristics demonstrated improved specificity (True Negative Rate 0.857 vs. 0.698) and accuracy (Accuracy 0.828 vs. 0.753) compared to the clinical model. Survival outcomes were best for the L_keep group and worst for the rising group (Log-rank p = 0.031). Patients with increased heterogeneity exhibited a higher risk of recurrence approaching two years post-surgery, particularly within the non-pCR population. The quantified heterogeneity of breast cancer in MRI offers a non-invasive method for predicting pCR to NAC and evaluating the implementation of precision medicine.
Response Rate to the Intervention with Tirbanibulin 1% Ointment for Treating Actinic Keratoses in People Living with HIV Infection
Authors: Ciccarese Giulia , Drago Francesco , Lospalluti Lucia , Grandolfo Mauro , Lo Caputo Sergio , Mastrolonardo Mario , Tirone Benedetta , Castronovi Cosimo , Bortone Riccardo , Cazzato Gerardo , Foti Caterina
Published: February 2025

Background/Objectives: People living with HIV (PLWH) are more susceptible than immunocompetent people to non-melanoma skin cancers. These tumors can arise de novo or from precancerous lesions, such as actinic keratosis (AKs). The management of AKs in PLWH has not been widely discussed in the literature. More specifically, the efficacy of the treatment of AKs in PLWH with modern topical drugs, such as tirbanibulin, is limited. The present work aims to evaluate the response rate to the intervention with tirbanibulin 1% ointment for treating AKs in PLWH. Methods: We retrospectively collected the data of the PLWH who visited the Dermatology Department of the Policlinico Riuniti (Foggia, Italy) between September 2023 and September 2024. PLWH who received the diagnosis of AKs and underwent treatment with tirbanibulin 1% ointment were studied. To assess the severity of AKs, the number of AKs and the AKs’ area and severity index (AKASI) score were calculated at the time of diagnosis (T0) and after treatment (T1). Results: Ten PLWH were found to have AKs and received topical therapy with tirbanibulin 1% ointment. On average, at T0, the number of lesions was 8.2 and the AKASI score was 4.20; at T1, the number of AKs was 1.7 and the AKASI score was 1.5. Only two patients reported a mild inflammatory reaction to applying tirbanibulin 1% ointment. Conclusions: The rate of satisfactory responses was in line with a recent multicentric Italian study performed on immunocompetent patients. Our results confirm the efficacy and tolerability of tirbanibulin 1% ointment in treating AKs in PLWH in particular.
An Entropy Approach to Interdependent Human–Machine Teams
Authors: Lawless William , Moskowitz Ira S.
Published: February 2025

Overview of recent developments in the field [...]
Enriching Earth Science Education with Direct and Proximal Remote Sensing of Soil Using a Mobile Geospatial Application
Authors: Mikhailova Elena A. , Post Christopher J. , Zurqani Hamdi A. , Hutton Philip C. , Nelson Davis G.
Published: February 2025

Earth science education can be enriched by adding technological knowledge to enable monitoring human earth impacts by using soil science as an example. Modern sensing technologies and a mobile mapping platform can enhance an existing field laboratory exercise to expand students’ knowledge beyond the core subject matter. This multi-year study’s objectives were to enrich laboratory exercise content on soil compaction using a soil penetration resistance (PR) tester (penetrometer) with the concepts of direct (soil PR) and proximal remote sensing (cellphone photos of the sample area), and crowdsourcing of field data using a GPS-enabled mobile phone application in an introductory soil science course at Clemson University, South Carolina (SC), United States of America (USA). Students from multiple Science, Technology, Engineering, and Mathematics (STEM) disciplines (forestry, wildlife biology, and environmental and natural resources) participated in the study. They completed a set of reusable learning objects (RLOs) in the following sequence: pre-testing questionnaire, laboratory video, quiz, and post-testing questionnaire. Students had increased familiarity with the concepts from this exercise, as demonstrated by the post-assessment survey. The quiz, which was taken by 113 students online, had an average total correct score of 9 out of a possible 10. A post-assessment survey indicated that the laboratory exercise was an effective way to learn about field soil PR data, direct and proximal remote sensing, and crowdsourcing with a GPS-enabled cellphone application. Results from the two study years (2022 and 2024) were consistent, indicating validity and confidence in the findings.
The Impact of Prompt Engineering and a Generative AI-Driven Tool on Autonomous Learning: A Case Study
Authors: Mzwri Kovan , Turcsányi-Szabo Márta
Published: February 2025

This study evaluates “I Learn with Prompt Engineering”, a self-paced, self-regulated elective course designed to equip university students with skills in prompt engineering to effectively utilize large language models (LLMs), foster self-directed learning, and enhance academic English proficiency through generative AI applications. By integrating prompt engineering concepts with generative AI tools, the course supports autonomous learning and addresses critical skill gaps in language proficiency and market-ready capabilities. The study also examines EnSmart, an AI-driven tool powered by GPT-4 and integrated into Canvas LMS, which automates academic test content generation and grading and delivers real-time, human-like feedback. Performance evaluation, structured questionnaires, and surveys were used to evaluate the course’s impact on prompting skills, academic English proficiency, and overall learning experiences. Results demonstrated significant improvements in prompt engineering skills, with accessible patterns like “Persona” proving highly effective, while advanced patterns such as “Flipped Interaction” posed challenges. Gains in academic English were most notable among students with lower initial proficiency, though engagement and practice time varied. Students valued EnSmart’s intuitive integration and grading accuracy but identified limitations in question diversity and adaptability. The high final success rate demonstrated that proper course design (taking into consideration Panadero’s four dimensions of self-regulated learning) can facilitate successful autonomous learning. The findings highlight generative AI’s potential to enhance autonomous learning and task automation, emphasizing the necessity of human oversight for ethical and effective implementation in education.
Cooperative Game Enabled Low-Carbon Energy Dispatching of Multi-Regional Integrated Energy Systems Considering Carbon Market
Authors: Liang Peiran , Zhang Honghang , Liang Rui
Published: February 2025

With the growing global environmental concerns and the push for carbon neutrality, rural multi-regional integrated energy systems (IESs) face challenges related to low energy efficiency, high carbon emissions, and the transition to cleaner energy sources. This paper proposes a cooperative game-based low-carbon economic dispatch strategy for rural IESs, integrating carbon trading mechanisms. A novel multi-regional IESs architecture is developed to exploit the synergy between photovoltaic (PV) and biomass energy systems. The proposed model described the anaerobic fermentation heat loads, incorporates variable-temperature fermentation, and employs a Nash bargaining model solved via the Alternating Direction Method of Multipliers (ADMM) to optimize cooperation while preserving stakeholder privacy. Simulation results show that the proposed strategy reduces total operating costs by 16.9% and carbon emissions by 7.5%, validating its effectiveness in enhancing efficiency and sustainability in rural energy systems.
Energetic Potential of Tobacco Waste Within Combustion or Anaerobic Digestion
Authors: Pochwatka Patrycja , Kowalczyk-Juśko Alina , Pituła Marek , Mazur Andrzej , Vaskina Iryna , Dach Jacek
Published: February 2025

The growing demand for energy biomass encourages the use of waste and by-products from agriculture. The aim of this study was to assess the suitability of tobacco stalks (TSs) for energy use in the combustion and anaerobic digestion (AD) process, as well as the technical and environmental effects of energy production from this waste raw material. Laboratory tests were conducted on the energy parameters of TS biomass, the chemical composition of ash from its combustion, and the efficiency and composition of biogas generated during the AD process of TS silage with various silage additives. The tests were conducted in accordance with the standards applicable to biomass fuels. The energy yield and emission reduction obtained by the replacement of conventional energy sources were calculated. The energy parameters of TS were inferior compared to the raw materials most often burned in boilers (wood, straw). The high ash content (7.31% in dry mass) and its chemical composition may adversely affect heating devices. Methane yield from TS silage was lower (18.55–24.67 m3/Mg FM) than from silage from crops grown for biogas plants (i.e., 105 m3/Mg for maize silage). Silage additives improved TS silage quality and methane yield (from 18.55 to 21.71–24.67 m3 CH4/Mg in case of silages with additives. Energy yield and emission reduction were higher in the case of TS combustion, but AD is a process consistent with the circular economy. Both TS energy management processes are in line with the Sustainable Development Goals as they prevent the devaluation of agricultural waste, providing a valuable resource for bioenergy.
Control Research on Active Pitch Control System for Horizontal-Axis Tidal-Current Turbine Generator
Authors: Zhang Fuli , Zhu Wanqiang , Zu Shuai , Zhang Xueming , Chen Jianmei , Wu Baigong , Huang Jipeng
Published: February 2025

Tidal energy, as a sustainable and environmentally friendly energy source, has attracted widespread attention in recent years. The technology of blade active pitch control is the key technology to cope with tidal velocity change and improve the stability and efficiency of horizontal-axis tidal generator sets. When solving the problem of speed variation, the core algorithm is the key to ensuring stable operation and improving the efficiency of power generation. When traditional PID is used to manage complex systems, the controller faces the challenge of complex parameter tuning and insufficient robustness. The application of a particle swarm optimization (PSO)–PID controller and fuzzy PID controller in the independent interval system of tidal generator sets is introduced for the first time in this paper. This paper presents a comparative study of unified pitch control and independent pitch control (using electric pitch control) for a three-rotor tidal generator with a rated capacity of 300 kw and a blade radius of 8.5 m. Simulation was carried out on the MATLAB/Simulink (2023a) platform to evaluate the performance of the two controllers under different flow rates and interference conditions. The results show that the PSO-PID controller has significant advantages in reducing overshoot, speeding up response times, and improving power generation efficiency. At the same time, the PSO-PID controller also shows superior performance in pitch angle adjustment frequency and generator output power and realizes timely and effective system stability control.
Nonlinear Control of a Permanent Magnet Synchronous Motor Based on State Space Neural Network Model Identification and State Estimation by Using a Robust Unscented Kalman Filter
Authors: Velarde-Gomez Sergio , Giraldo Eduardo
Published: February 2025

This work proposes a nonlinear modeling of a permanent magnet synchronous motor (PMSM) based on state space neural networks. The state space neural network is trained and the state variables (currents in a direct–quadrature frame and the rotational speed) are estimated by considering a robust Unscented Kalman Filter (UKF). Two contributions are presented in this work: the fist one is a nonlinear modeling structure for a PMSM based on a state space neural network that allows real-time parameter identification, and the second one is PMSM neural network training and state estimation based on a robust UKF. The robustness of the UKF is obtained by using a singular value decomposition of the covariance matrix. A comparison analysis is performed over a real PMSM motor by considering the proposed approach and a linear approximation of the nonlinear model where the states and parameters are computed by using an Extended Kalman Filter. The identified model is validated in closed loop by considering a nonlinear control strategy based on state feedback linearization.
Biodiversity and Ecology of Organisms Associated with Woody Plants
Authors: Pastirčáková Katarína , Zemek Rostislav
Published: February 2025

Woody plants serve as hosts for a vast array of organisms, ranging from herbivores and pathogenic species—often considered detrimental—to beneficial organisms that contribute to plant health and ecosystem stability [...]
Natural and Waste Materials for Desulfurization of Gaseous Fuels and Petroleum Products
Authors: Iliev Iliya , Filimonova Antonina , Chichirov Andrey , Vlasova Alena , Kamalieva Ruzina , Beloev Ivan
Published: February 2025

Currently, the key challenge of the oil-refining industry worldwide is to produce environmentally friendly fuel in large volumes to meet market demand, which is due to strict environmental standards governing the permissible sulfur content in fuel. Natural gas, refinery gas, and coal gas contain acid gases such as hydrogen sulfide and carbon dioxide. These compounds must be removed from the gas stream because of the toxicity of H2S and to prevent the acid gas-induced corrosion of pipelines and facilities. Hydrogen sulfide is released as a result of various industrial processes, and its removal is critical because this compound can cause corrosion and environmental damage even at low concentrations. Sulfur compounds are also present in natural gas, biofuels and other fuel gases used in power plants. This article proposes new adsorbents of natural and waste origin and presents the results of their testing for the removal of acid gases. This paper also considers methods for the preparation of adsorbents from waste and procedures for the removal of sulfur-containing compounds. Using agricultural, industrial waste to produce activated sorbents not only solves the problem of waste disposal but also reduces the cost of desulfurization, contributing to the creation of sustainable and environmentally friendly technologies. The Review Section comprehensively summarizes current research on hydrogen sulfide removal in gas cleaning processes using agricultural and industrial waste as highly efficient adsorbents. In the Experimental Section, 10 composite materials based on natural raw materials and wastes, as well as 6 commercial adsorbents, were synthesized and tested under laboratory conditions. The choice of materials for the adsorbent production was based on the principles of environmental friendliness, availability, and cost-effectiveness. The developed materials based on modified sludge from water treatment plants of thermal power plants are effective sorbents for the purification of gas emissions from petrochemical enterprises. For industrial use, it is necessary to solve the problems of increasing the economic attractiveness of sorbents from waste, the ability of regeneration, the competitive adsorption of pollutants, the use of indicator sorbents, the optimization of operating conditions, and safe waste disposal.
Crustal Structure of Northwestern Iran on the Basis of Regional Seismic Tomography Data
Authors: Talebi Amir , Medved Irina , Koulakov Ivan
Published: February 2025

This study presents a 3D seismic velocity model of the crust beneath northwestern Iran. The data include arrival times of 76,589 P-waves and 10,796 S-waves from 7245 events recorded by 233 stations. The seismic velocity model presented in this research provides a detailed understanding of the crustal structure and tectonic processes shaping northwestern Iran. The interplay between volcanism, fault activity and mantle dynamics has produced a complex velocity structure. The findings in the region offer new insights into the geodynamic evolution of this tectonically active area. Understanding these features is crucial for assessing the region’s seismic hazard and geothermal potential, particularly in light of its active tectonic faults and volcanic systems. Moreover, the crust of northwestern Iran represents a two-layered structure: a high P-velocity upper crust and low-velocity lower crust. The authors documented a similar structure on the basis of tomographic data of different collision regions, such as Eastern Anatolia, Tien Shan and Pamir–Hindu Kush. The structure concerned is supposed to be due to delamination processes in the upper mantle.
Smartphone Addiction, Screen Time, and Physical Activity of Different Academic Majors and Study Levels in University Students
Authors: Kumban Wannisa , Cetthakrikul Salila , Santiworakul Anoma
Published: February 2025

Smartphone addiction is increasing among university students. This study aims to explore the differences in screen time and physical activity among university students with and without smartphone addiction, considering their study majors and levels. One hundred and twenty participants from sixteen faculties were included, divided into three academic majors (health sciences, social sciences and humanities, and science and technology). Data were collected using a screen time behavior questionnaire and a screen time application. Physical activity was measured using the Global Physical Activity Questionnaire (GPAQ). This study demonstrated that the smartphone addiction group had higher screen time on both smartphones (p = 0.02) and other devices (p = 0.04). Students in the social sciences and humanities majors had insufficient physical activity according to WHO recommendations. The results showed no correlation between screen time and physical activity, study time, academic major, or study level (p ≥ 0.05). However, a low correlation was observed between physical activity and study time (r2 = 0.27; p < 0.05), as well as study level (r2 = −0.31; p < 0.05). Our findings show that the total screen time for university students with and without smartphone addiction exceeded 8 h per day. Real-life activities should be promoted to reduce screen time. Encouraging physical activity among senior students and those in social science and humanities majors is crucial for fostering healthy behaviors in the future. Physical education and recreational activities should be emphasized in these groups, along with the development of programs or class activities designed to promote physical activity and reduce screen time.
Optimising Aripiprazole Long-Acting Injectable: A Comparative Study of One- and Two-Injection Start Regimens in Schizophrenia with and Without Substance Use Disorders and Relationship to Early Serum Levels
Authors: Trovini Giada , Lombardozzi Ginevra , Kotzalidis Georgios D. , Lionetto Luana , Russo Felicia , Sabatino Angela , Serra Elio , Castorina Simone , Civita Giorgia , Frezza Sara , De Bernardini Donatella , Costanzi Giuseppe , Alborghetti Marika , Simmaco Maurizio , Nicoletti Ferdinando , De Filippis Sergio
Published: February 2025

Aripiprazole as a long-acting injectable (LAI) is initiated in oral aripiprazole-stabilised patients and needs, after first injection, 14 days supplementation of oral aripiprazole (one-injection start, OIS). Recently, an alternative two-injection start (TIS) was advanced, involving two 400 mg injections with a single 20 mg oral supplementation of aripiprazole. We tested the two regimens in patients with schizophrenia (SCZ, n = 152, 90 men and 62 women) with (SUD+; n = 93) or without (SUD–; n = 59) substance use disorders (SUDs), comparing OIS (n = 66) with TIS (n = 86) and SUD+ vs. SUD–. For 26 patients, we measured weekly for one month, aripiprazole + dehydroaripiprazole (active moiety) levels. Patients were followed for three months after LAI with psychopathology and quality-of-life scales (BPRS, CGI-S, ACES, BIS-11, and WHOQOL). All groups improved in psychopathology with no differences between OSI and TIS and between SCZ–SUD+ and SCZ–SUD–. The TIS group was associated with serum blood levels of the active moiety within the therapeutic window, while the OIS group showed peaks above the window, possibly exposing patients to toxicity. Treatments were well-tolerated. Here we showed no disadvantages for TIS vs. OIS and possibly increased safety. Shifting the initiation of aripiprazole LAIs to the TIS modality may be safe and pharmacokinetically advantageous.
Lactoferrin: Properties and Potential Uses in the Food Industry
Authors: Demir Ranya , Sarıtaş Sümeyye , Bechelany Mikhael , Karav Sercan
Published: February 2025

Lactoferrin (LF) is an 80 kDa glycoprotein that contains approximately 700 amino acids and is a member of the transferrin family. The essential properties of LF, including antimicrobial, antiviral, anticancer, anti-inflammatory, antioxidant, and probiotic effects, have been studied for decades. The iron chelation activity of LF is significantly associated with its antimicrobial, anti-inflammatory, and antioxidant properties. Owing to its probiotic and prebiotic activity, LF also facilitates the growth of beneficial microorganisms and iron-defense immediate-effect properties on pathogens. Additionally, the ability to regulate cell signaling pathways and immune responses makes LF a prominent modulatory protein. These diverse characteristics of LF have gained interest in its therapeutic potential. Studies have suggested that LF could serve as an alternative source to antibiotics in severe infections and illnesses. LF has also gained interest in the food industry for its potential as an additive to fortify products such as yogurt, infant formula, and meat derivatives while also improving the shelf life of foods and providing antimicrobial and antioxidant activity. Prior to using LF in the food industry, the safety and toxicity of food processing are necessary to be investigated. These safety investigations are crucial for addressing potential harm or side effects and ensuring a healthy lifestyle. This review discusses the attributes and safety of LF, particularly its exploitation in the food industry.
Transcriptome Profiling of Euproctis pseudoconspersa Reveals Candidate Olfactory Genes for Type III Sex Pheromone Detection
Authors: Zhang Xiangzhi , Li Shunsi , Luo Zongxiu , Cai Xiaoming , Bian Lei , Xiu Chunli , Fu Nanxia , Liu Naiyong , Zhang Zhengqun , Li Zhaoqun
Published: February 2025

The tea tussock moth (Euproctis pseudoconspersa) is a common tea plantation pest with Type III sex pheromone components (SPCs). However, the olfactory genes involved in the perception of Type III SPCs remain unknown. To identify the olfactory genes involved in E. pseudoconspersa olfactory perception, we sequenced the transcriptomes of different tissues from male and female moths. We identified 27 chemosensory proteins, 39 odorant-binding proteins (OBPs), 28 ionotropic receptors (IRs), and 67 odorant receptors (ORs). Phylogenetic and antennal abundance analyses showed that EpseOR12, EpseOR13, EpseOR15, EpseOR16, and EpseOR18 belonged to the pheromone receptor clades of Type II moths, with predominant expression in male antennae. Besides these EpseORs, EpseOR14 and EpseOR32 were two of the most abundant EpseORs in male antennae, where they were predominantly expressed. Four pheromone-binding proteins (PBPs) were identified, with higher expression in male antennae. EpseORs and EpsePBPs may be involved in Type III SPC detection. Additionally, a few EpseOBPs, EpseIRs, and EpseORs were predominantly expressed in either male or female antennae. These genes may play important roles in olfaction and may be involved in detecting host plant volatiles and pheromones. These results provide a foundation for further exploration of the molecular mechanisms of E. pseudoconspersa olfaction.
Identifying Essential Hub Genes and circRNA-Regulated ceRNA Networks in Hepatocellular Carcinoma
Authors: Yu Xiaoqian , Xu Hao , Xing Yutao , Sun Dehui , Li Dangdang , Shi Jinming , Sui Guangchao , Li Guangyue
Published: February 2025

Competitive endogenous RNAs (ceRNAs) absorb microRNAs and subsequently promote corresponding mRNA and long noncoding RNA (lncRNA) expression, which may alter cancer cell malignancy. Thus, dissecting ceRNA networks may reveal novel targets in cancer therapies. In this study, we analyzed differentially expressed genes (DEGs) of mRNAs and lncRNAs, and differentially expressed microRNAs (DE-miRNAs) and circular RNAs (DE-circRNAs) extracted from high-throughput sequencing datasets of hepatocellular carcinoma patients. Based on these data, we identified 26 gene modules using weighted gene co-expression network analysis (WGCNA), of which 5 were associated with tumor differentiation. In these modules, 269 genes were identified by GO and KEGG enrichment and patient’s survival correlation analyses. Next, 40 DE-miRNAs, each of which potentially bound a pair of DE-circRNA and hub gene, were discovered. Together with 201 circRNAs and 24 hub genes potentially bound by these miRNAs, 1151 ceRNA networks were constructed. Among them, 75 ceRNA networks consisting of 24 circRNAs, 28 miRNAs and 17 hub genes showed a positive circRNA–hub gene correlation. For validation, we carried out experiments for 4 randomly selected circRNAs regulating 19 potential ceRNA networks and verified 5 of them. This study represents a powerful strategy to identify essential gene networks and provides insights into designing effective therapeutic strategies.
The Creation and Evaluation of an AI Assistant (GPT) for Educational Experience Design
Authors: López-Galisteo Antonio Julio , Borrás-Gené Oriol
Published: February 2025

The emergence of generative artificial intelligence (GAI) has revolutionized numerous aspects of our lives and presents significant opportunities in education. However, specific digital competencies are essential to effectively leverage this technology’s potential. Notably, prompt engineering proficiency presents a significant barrier to achieving optimal outcomes. In response, various solutions are being developed, including custom GPTs available through OpenAI’s ChatGPT platform. This study validates ‘GamifIcA Edu’, a specialized GPT-based assistant for gamification and serious games, designed to enable educators to implement these pedagogical approaches without requiring advanced prompt engineering expertise. This is achieved through the utilization of pre-designed instructional frameworks. The assistant’s effectiveness was evaluated using a comprehensive rubric across five distinct use-case scenarios. Each scenario underwent four different tests, representing varied learning contexts across multiple academic disciplines. The validation methodology involved a systematic assessment of the assistant’s performance in diverse educational settings. The findings demonstrate the successful implementation of this custom-designed GPT, which generated contextually appropriate responses through natural language interactions, thus eliminating the need for complex prompt structures. This research highlights the potential of instruction-based design in the development of AI assistants that empower users with limited prompt engineering knowledge to achieve expert-level results. These findings have significant implications for the democratization of AI-enhanced educational tools.
New Mitogenomes from the Genus Ablabesmyia (Diptera: Chironomidae, Tanypodiinae): Characterization and Phylogenetic Implications
Authors: Liu Wen-Bin , Pei Wen-Xuan , Tang Ya-Ning , Nie Jia-Xin , Cao Wei , Wang Cheng-Yan , Yan Chun-Cai
Published: February 2025

(1) Background: The insect mitogenome encodes essential genetic components and serves as an effective marker for molecular identification and phylogenetic analysis in insects due to its small size, maternal inheritance, and rapid evolution. The morphological identification of Ablabesmyia is challenging, particularly for non-experts. Thus, there is an increasing need for molecular data to improve classification accuracy and phylogenetic analysis. (2) Methods: Our analysis encompassed eight species of Ablabesmyia, a single species of Conchapelopia, one species of Denopelopia, and one species of Thienemannimyia, all originating from China. We then performed a comprehensive analysis of the nucleotide composition, sequence length, and evolutionary rate. (3) Results: All newly assembled mitogenomes displayed a negative GC-skew, indicating a cytosine bias, while most exhibited a positive AT-skew, reflecting an adenine and thymine abundance. All thirteen protein-coding genes (PCGs) featured the conventional start codon ATN, aligning closely with the typical mitochondrial start codon observed in insects. The evolutionary rates of these PCGs can be ordered as follows: ND2 > ATP8 > ND6 > ND4 > ND5 > ND3 > ND4L > ND1 > CYTB > COIII > ATP6 > COII > COI. (4) Conclusions: These newly sequenced mitogenomes exhibit structural features and nucleotide compositions that closely align with those of previously reported Chironomidae species, marking a significant expansion of the chironomid mitogenome database.