bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Genotoxicity Evaluation of the Fungal Alpha-Amylase Enzyme on Drosophila melanogaster
Authors: Ünal Arzu Taşpınar , Navruz Fahriye Zemheri , Korcan Safiye Elif , İnce Sinan , Göçer Emine Uygur
Published: February 2025

Alpha-amylase is an extracellular enzyme abundantly produced from fungal sources. The catalytic activity of microbial enzymes is higher, more stable, and economical compared to plant and animal enzymes; they can be produced in large quantities in a short time and do not produce unwanted by-products. In this study, the genotoxic effect of different concentrations (25 mg/mL, 50 mg/mL, and 100 mg/mL) of a native fungal thermostable alpha-amylase enzyme, produced from the Aspergillus niger G2-1 isolate with an enzyme activity of 38.6 U/mg, was investigated on the Drosophila melanogaster model organism. The effect of the alpha-amylase enzyme added to the culture medium on the developmental performance of D. melanogaster was assessed through larval toxicity analysis, its effect on DNA damage through the comet assay, and its response to oxidative stress through various biochemical parameters. As a result, it was determined that low-dose alpha-amylase enzyme concentration (25 mg/mL) did not cause intracellular oxidative stress, did not cause genotoxicity, and did not adversely affect growth performance, although feeding with alpha-amylase at 50 mg/mL and 100 mg/mL concentrations caused a significant decrease in the survival rate of D. melanogaster larvae and an increase in DNA damage rate in imagos. However, oxidative stress parameters in adult D. melanogaster did not change after the same alpha-amylase application.
Molecular Biomarkers for Timely and Personalized Prediction of Maternal-Fetal Health Risk
Authors: Estrela Daniel , Santos Rita F. , Masserdotti Alice , Silini Antonietta , Parolini Ornella , Pinto Inês Mendes , Cruz Andrea
Published: February 2025

Molecular biomarker profiling is an emerging field in maternal-fetal health with the potential to transform early detection and prediction of placental dysfunction. By analysing a range of biomarkers in maternal blood, researchers and clinicians can gain crucial insights into placental health, enabling timely interventions to enhance fetal and maternal outcomes. Placental structural function is vital for fetal growth and development, and disruptions can lead to serious pregnancy complications like preeclampsia. While conventional methods such as ultrasound and Doppler velocimetry offer valuable information on fetal growth and blood flow, they have limitations in predicting placental dysfunction before clinical signs manifest. In contrast, molecular biomarker profiling can provide a more comprehensive assessment by measuring proteins, metabolites, and microRNAs (miRNAs) in maternal blood, reflecting the placenta’s endocrine and metabolic functions. This approach offers a deeper understanding of placental health and function, aiding in early detection and prediction of complications. Challenges in developing molecular biomarker profiling include pinpointing specific molecular changes in the placenta linked to pathologies, timing predictions of conditions before clinical onset, and understanding how placental dysfunction affects maternal metabolism. Validating specific biomarkers and integrating them effectively into clinical practice requires further research. This review underscores the significance of molecular biomarker profiling as a powerful tool for early detection and prediction of placental dysfunction in maternal-fetal health. Through an exploration of biomarker analysis, we delve into how a deeper understanding of placental health can potentially improve outcomes for both mother and baby. Furthermore, we address the critical need to validate the utility of biomarkers and effectively integrate them into clinical practice.
Techno-Economic Analysis of Biogas Production with Vinasse and Co-Digestion with Vinasse and Filter Cake for Annexed Plants: Case Study in Paraná State, Brazil
Authors: Marcucci Sílvio M. P. , Santos Emerson D. N. Dos , Fuziki Maria E. K. , Lenzi Giane G. , Balthazar Jose M. , Tusset Angelo M.
Published: February 2025

Decentralized energy generation by renewable fuels is an alternative to energy dependency and reduction in greenhouse gas emissions, with biogas emerging as a promising option. Brazil, as the second largest ethanol producer, generates several by-products in the production of this biofuel that could be used for biogas production. In this study, the potential for biogas production and electricity generation from biogas was evaluated. Furthermore, an economic analysis was conducted with calculations of discounted net present value (NPV), internal rate of return (IRR), return on investment (ROI), Levelized Cost of Electricity (LCOE), and sensitivity analysis related to the implementation of vinasse anaerobic digestion, and vinasse and filter cake co-digestion in seven sugarcane mills in Paraná state, Brazil. The results demonstrated that co-digestion and higher sugarcane milling capacities benefit biogas generation and economic aspects. Additionally, implementing anaerobic digestion for electricity production was viable in all scenarios, indicating that biogas from the sugarcane sector could be a viable alternative for decentralized energy generation.
Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage
Authors: Zhang Yongqiang , Pang Haijie , Ma Jinlong , Ma Guilei , Zhang Xiaoming , Man Menghua
Published: February 2025

Background: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing power. In this context, spiking neural networks show the ability to resist Gaussian noise, spike interference, and AC electric field interference by adjusting synaptic plasticity. The anti-interference ability to spike neural networks has become an important direction of electromagnetic protection bionics research. Methods: Therefore, this research constructs two types of spiking neural network models with LIF model as nodes: VGG-SNN and FCNN-SNN, and combines pruning algorithm to simulate network connection damage during the training process. By comparing and analyzing the millimeter wave radar human motion dataset and MNIST dataset with traditional artificial neural networks, the anti-interference performance of spiking neural networks and traditional artificial neural networks under the same probability of edge loss was deeply explored. Results: The experimental results show that on the millimeter wave radar human motion dataset, the accuracy of the spiking neural network decreased by 5.83% at a sparsity of 30%, while the accuracy of the artificial neural network decreased by 18.71%. On the MNIST dataset, the accuracy of the spiking neural network decreased by 3.91% at a sparsity of 30%, while the artificial neural network decreased by 10.13%. Conclusions: Therefore, under the same network connection damage conditions, spiking neural networks exhibit unique anti-interference performance advantages. The performance of spiking neural networks in information processing and pattern recognition is relatively more stable and outstanding. Further analysis reveals that factors such as network structure, encoding method, and learning algorithm have a significant impact on the anti-interference performance of both.
Effects of Packet Loss on Neural Decoding Effectiveness in Wireless Transmission
Authors: Zheng Jiaqi , Li Yuan , Chen Liangliang , Wang Fei , Gu Boxuan , Sun Qixiang , Gao Xiang , Zhou Fan
Published: February 2025

Background: In brain–computer interfaces, neural decoding plays a central role in translating neural signals into meaningful physical actions. These signals are transmitted to processors for decoding via wired or wireless channels; however, they are often subject to data loss, commonly referred to as “packet loss”. Despite their importance, the effects of different types and degrees of packet loss on neural decoding have not yet been comprehensively studied. Understanding these effects is critical for advancing neural signal processing. Methods: This study addresses this gap by constructing four distinct packet loss models that simulate the congestion, distribution, and burst loss scenarios. Using macaque superior arm movement decoding experiments, we analyzed the effects of the aforementioned packet loss types on decoding performance across six parameters (position, velocity, and acceleration in the x and y dimensions). The performance was assessed using the R2 metric and statistical comparisons across different loss scenarios. Results: Our results indicate that sudden, consecutive packet loss significantly degraded decoding performance. For the same packet loss probability, burst loss led to the largest decrease in the R2 value. Notably, when the packet loss rate reached 10%, the decoding performance for acceleration dropped to 73% of the original R2 value. On the other hand, when the packet loss rate was within 2%, the neural signal decoding results across all packet loss models remained largely unaffected. However, as the packet loss rate increased, the impact became more pronounced. These findings highlight the varying degrees to which different packet loss models affect decoding outcomes. Conclusions: This study quantitatively evaluated the relationship between packet loss and neural decoding outcomes, highlighting the differential effects of loss patterns on decoding parameters, and it proposed some methods and devices to solve the problem of packet loss. These findings offer valuable insights for the development of resilient neural signal acquisition and processing systems capable of mitigating the impact of packet loss.
Determination of Dynamic Characteristics of Historic Beyazıt Tower
Authors: Şekerci Çağla , Damcı Erdem , Öztorun Namık Kemal
Published: February 2025

The Beyazıt Tower, located within the Beyazıt Campus of İstanbul University, was chosen as a reference structure to assess its dynamic characteristics due to its historical significance. The tower, which is a historic masonry structure, was analyzed using the finite element method with shell and solid 3D models. Ambient vibration tests were conducted to evaluate the accuracy of the analysis results. Based on the findings from the experimental study, the numerical models were updated, and the most suitable material properties were identified. The accuracy of the analysis results among the different models was also discussed. Additionally, a foundation was established for long-term monitoring studies by determining the dynamic characteristics through experimental methods. These studies will help identify any changes that may occur over time, allowing for the monitoring of potential damage and the detection of any impacts from natural disasters or human activities on this unique structure.
A Retrospective, Nationwide, Multicenter Study on Diagnosis and Treatment Outcome of Pediatric Optic Pathway/Hypothalamic Gliomas Including Analysis of Risk Factors for Progression After Systemic Anticancer Therapy
Authors: Bennebroek Carlien A. M. , van Zwol Judith , Montauban van Swijndregt Maartje C. , Porro Giorgio L. , Oostenbrink Rianne , Dittrich Anne T. M. , Pott Jan W. , Meijer Lisethe , Janssen Etienne J. M. , Klinkenberg Sylvia , Bauer Noel J. , Notting Irene C. , van Genderen Maria M. , Tanck Michael W. , de Graaf Pim , Saeed Peerooz , Schouten-van Meeteren Antoinette Y. N.
Published: February 2025

Background: The current standard therapy for pediatric optic pathway/hypothalamic glioma (OPHG) is systemic anticancer therapy (SAT) over surgery and radiotherapy. Nevertheless, recurrent radiological or clinical tumor progression after SAT forms a considerable challenge. Sporadic OPHGs are considered to have a higher tendency toward progression after first-line systemic anticancer therapy (SAT) compared to neurofibromatosis type-1-associated (NF1) OPHGs. Methods: The objective of this study was to conduct a national retrospective cohort analysis of children who received various treatments for a progressive OPHG, involving the hypothalamus and/or chiasm and/or optic radiations. The study aimed to examine the differences in clinical course and the range of treatment modalities applied to both sporadic and NF1-associated OPHGs between 1995 and 2020. Additionally, we sought to identify risk factors for 3- and 5-year progression following first- and second-order SAT. Results: In total, 136 children received treatment, of whom 49 of 136 (36.0%) had NF1. Within a median of 7.5 years (range: 0.1–23.8 years) of follow-up, sporadic OPHGs received more treatments compared to NF1-associated OPHGs (median of 2 (range: 1–8) vs. median of 1 (range: 1–7) (p < 0.01)). Nine children with sporadic OPHGs (6.6%) died. Of 112 children (82.4%) receiving SAT, 92% received combined first-line vincristine and carboplatin. These children had a 3- and 5-year progression-free survival of 61.8% (95% CI: 51.0–72.6%) and 48.4% (95% CI: 38.0–58.8%), respectively. Sporadic OPHGs had a higher rate of second progression (p < 0.01). Starting first-line vincristine and carboplatin at an age below one year was the only independent risk factor for progression. Conclusions: In this national historic cohort of pediatric OPHGs, four out of five children received SAT. Sporadic OPHGs received a higher number of various SATs compared to NF1-associated OPHGs, but the sporadic appearance of OPHGs was not an independent risk factor for progression after combined vincristine and carboplatin, as ‘age below one year at the start’ was the only factor.
Lycorine hydrochloride Suppresses the Proliferation and Invasion of Esophageal Cancer by Targeting TRIM22 and Inhibiting the JAK2/STAT3 and Erk Pathways
Authors: Liu Jingyan , Qiu Liangxian , Chen Jialing , Zeng Tao
Published: February 2025

Background: Tumor metastasis and poor drug efficacy are two of the most common causes of therapeutic failure in cancer patients. The underlying molecular mechanism requires further exploration, and novel effective curative strategies are urgently needed. Nature is a rich source of novel drugs, and Lycorine hydrochloride (Lyc.HCL) is a natural alkaloid with tremendous therapeutic potential. However, the molecular mechanisms of its antitumor activity are still unknown. In the current study, we investigated the effects and mechanisms of Lyc.HCL against esophageal squamous cell carcinomas (ESCCs), which pose serious threats to human life. Methods: An MTS assay and a clone formation assay were used to assess the viability of ESCC cell lines after Lyc.HCL treatment in vitro. Apoptosis and cell cycle regulation were analyzed using flow cytometry. Wound healing and Transwell assays were used to analyze cell migration, while invasion was analyzed using the Matrigel Transwell assay. We detected the expression of tripartite motif-containing 22 (TRIM22) through immunohistochemistry and Western blotting. A docking experiment was performed to explore the targets of Lyc.HCL. The expression levels of Janus kinase 2 (JAK2)/signal transducer and activator of transcription 3 (STAT3) and phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)/extracellular signal-regulated kinase (Erk) pathway components were detected through Western blotting. A rescue experiment was performed to determine the potential role of TRIM22. In addition, we explored the in vivo anti-ESCC effects and mechanism of Lyc.HCL by using it to treat tumor-bearing mice. Results: The Lyc.HCL treatment was found to inhibit esophageal squamous cell carcinoma cell proliferation both in vitro and in vivo by blocking the cell cycle at the G2 phase, inhibiting cell migration and invasion. We found that the TRIM22 protein was highly expressed in ESCCs but not in normal esophageal tissue. Lyc.HCL directly targeted TRIM22, decreasing the expression of TRIM22 and the JAK2/STAT3 and Erk signaling pathways, both in vitro and in vivo. Using animal experiments, we observed that the depletion of TRIM22 delayed tumor growth, but this effect was significantly reversed upon TRIM22 overexpression. Conclusions: Taken together, these findings demonstrate that Lyc.HCL can effectively suppress ESCC both in vitro and in vivo by targeting TRIM22 and regulating the JAK2/STAT3 and Erk pathways. These results suggest that Lyc.HCL may serve as a potential novel therapeutic for ESCC, with TRIM22 emerging as a promising target for treatment.
Supporting Antenatal Counselling for Anticipated Preterm Births at the Limits of Viability in Non-Tertiary Centres
Authors: Gallipoli Alessia , Lee Kyong-Soon , Shah Vibhuti
Published: February 2025

Background: Presentations of preterm labour at <25 weeks of gestational age (GA) require timely evidence-based counselling and management to optimise outcomes and facilitate informed decisions. In non-tertiary centres, this counselling is often especially challenging. Objectives: (1) To develop a tool to support counselling for preterm births at <25 weeks of GA, and (2) to refine and facilitate the utilisation of this tool and develop targeted supports through an understanding of challenges to providing counselling in non-tertiary centres. Methods: Perinatal risk factors and local outcome data were incorporated into a counselling tool. Semi-structured virtual interviews were conducted with participants with experience in counselling or receiving care at <25 weeks of GA in non-tertiary centres. Interviewees included transport team members, paediatricians, obstetricians, one family physician, and one parent. Analysis using interpretive description methodology was performed to identify themes in participant practice and experience. Results: A risk-based counselling tool was developed, including guidance for counselling discussions. Twenty-one interviews were completed. Practice challenges that were identified included a lack of updated knowledge on practices in tertiary centres, discomfort in providing counselling, variability in counselling content, and a variation in health care provider teams involved in counselling. All providers expressed a desire for further education in this area. Conclusions: Support for providers in non-tertiary centres in the counselling of periviable preterm families is much needed. The development of our practice tool targeted for non-tertiary centres provides an important step in this process. The next steps include responding to the expressed need from providers for education and training in the counselling and management of periviable preterm pregnancies.
Surgical Treatment of Cranial Fasciitis in an Atypical Maxillary Region of a Pediatric Patient: A Case Report
Authors: González-Fuentes Jetsi Marlen , Noyola-Frías Miguel Angel , Benítez-Cárdenas Oscar Arturo , Torres-Hernández Elhi Manuel , González-Macías Jessika Arlina , Comas-García Andreu , Martínez-Rider Ricardo , Vitales-Noyola Marlen
Published: February 2025

Objective: The aim of this case report is to show the surgical treatment of cranial fasciitis in a 2-year-old patient. Cranial fasciitis is an uncommon, nonmalignant, and swiftly proliferating lesion that primarily involves the cranium, predominantly in the temporoparietal area. It mostly comprises smooth muscle tissue, connective tissue, and diverse immune cells. The lesion often manifests as an indurated, asymptomatic mass, averaging approximately 2.5 cm in size, although it may exceed 15 cm. Cranial fasciitis predominantly manifests in children below the age of 6. The diagnosis is validated via histological investigation, which identifies a benign tumor defined by the proliferation of spindle-shaped cells organized in a myxoid matrix, frequently displaying a storiform pattern. Methods: We present a case of cranial fasciitis in a 2-year-old pediatric patient, characterized by an atypical manifestation in the maxillary region. The lesion underwent surgical intervention resulting in total excision. Results: Three years after the surgery, the patient is asymptomatic and shows no signs of recurrence. Regular clinical follow-up and imaging are scheduled biannually, and the patient is anticipated to have a favorable long-term prognosis. Conclusions: Cranial fasciitis is a very rare benign lesion that occurs more commonly in childhood. In this case, surgical resection was effective, and three years later, the patient remains asymptomatic and free of recurrence, with a favorable long-term prognosis.
Correction: Majerič et al. Study of the Application of Recycled Gold Nanoparticles in Coatings for Eyewear Lenses. Coatings 2023, 13, 1666
Authors: Majerič Peter , Koruga Djuro , Njegovan Zorana , Jelen Žiga , Švarc Tilen , Horvat Andrej , Rudolf Rebeka
Published: February 2025

In the original publication [...]
Study of Formulation, Physical Properties, and Instability Process and In Vitro Evaluation of Transparent Nanoemulsions Containing Sesame Seed Oil (SO) and Raspberry Seed Oil (RO)
Authors: Rocha-Filho Pedro Alves , Maruno Monica
Published: February 2025

Nanoemulsions are significant for cosmetic products intended for skin care and for health products due to the reduced size (range 20 to 500 nm) of the globules, which avoids processes of instability. They present transparency, fluidity, wettability, and spreadability; increase skin penetration; and have good sensation. The main instability mechanism of nanoemulsions is called Ostwald ripening, responsible for increasing the average diameter of emulsion globules. Sesame Seed Oil (SO) and Raspberry Seed Oil (RO) are indicated as moisturizing agents recently used in the cosmetic industry and for reducing transepidermal water loss, preventing damage to the skin barrier. They contain specific compounds with common properties such as antioxidant, moisturizing, emollient, and photoprotective actions, making them attractive alternative and complementary treatments to soften the process of skin aging. Below, we present the results of this research on the development of nanoemulsions containing Sesame Seed Oil added with Raspberry Seed Oil by the low-energy method. SO nanoemulsions at HLB = 8.0 were obtained with PEG 15 castor oil (A) and PEG 30 castor oil (F.80) and had globule sizes of 50 nm and 200 nm, respectively, along with pH values considered suitable for skin care products and lower viscosity values allowing for the easy application of nanoemulsions to the skin. Nanoemulsions A and F.80 showed antioxidant activities of 68.71% and 67.75%, respectively. SO nanoemulsions with PEG 15 and PEG 30 castor oil were obtained at 85 °C and 75 °C, respectively, and have the lowest Ostwald ripening index (1.33 × 1022 m3 s−1). The in vitro evaluation conducted using the HET-CAM method for nanoemulsions and PEG 15 and PEG 30 castor oils showed that they were slightly irritating and could be used in cosmetic products.
Force Map-Enhanced Segmentation of a Lightweight Model for the Early Detection of Cervical Cancer
Authors: Umirzakova Sabina , Muksimova Shakhnoza , Baltayev Jushkin , Cho Young Im
Published: February 2025

Background/Objectives: Accurate and efficient segmentation of cervical cells is crucial for the early detection of cervical cancer, enabling timely intervention and treatment. Existing segmentation models face challenges with complex cellular arrangements, such as overlapping cells and indistinct boundaries, and are often computationally intensive, which limits their deployment in resource-constrained settings. Methods: In this study, we introduce a lightweight and efficient segmentation model specifically designed for cervical cell analysis. The model employs a MobileNetV2 architecture for feature extraction, ensuring a minimal parameter count conducive to real-time processing. To enhance boundary delineation, we propose a novel force map approach that drives pixel adjustments inward toward the centers of cells, thus improving cell separation in densely packed areas. Additionally, we integrate extreme point supervision to refine segmentation outcomes using minimal boundary annotations, rather than full pixel-wise labels. Results: Our model was rigorously trained and evaluated on a comprehensive dataset of cervical cell images. It achieved a Dice Coefficient of 0.87 and a Boundary F1 Score of 0.84, performances that are comparable to those of advanced models but with considerably lower inference times. The optimized model operates at approximately 50 frames per second on standard low-power hardware. Conclusions: By effectively balancing segmentation accuracy with computational efficiency, our model addresses critical barriers to the widespread adoption of automated cervical cell segmentation tools. Its ability to perform in real time on low-cost devices makes it an ideal candidate for clinical applications and deployment in low-resource environments. This advancement holds significant potential for enhancing access to cervical cancer screening and diagnostics worldwide, thereby supporting broader healthcare initiatives.
Impact of Advanced Platelet-Rich Fibrin on Early Bone Healing After Endodontic Microsurgery: A Randomized Controlled Trial
Authors: Karkle Aleksandra , Neimane Laura , Zolovs Maksims , Dambergs Matiss , Meistere Dita , Vaskevica Anete , Slaidina Anda
Published: February 2025

Background: Apical surgery can address periapical pathologies when conventional endodontic treatments fail. Advanced platelet-rich fibrin (A-PRF) has emerged as a regenerative material with the potential to enhance healing in periapical surgery. In this study, we evaluated the effect of A-PRF on periapical lesion healing using cone beam computed tomography (CBCT). Methods: A randomized controlled trial at Rīga Stradiņš University Institute of Stomatology included 43 participants (15 males, 28 females; mean age: 44 years) with periradicular lesions. Participants were divided into experimental and control groups. Baseline and follow-up CBCT imaging assessed lesion volumes at 6 and 12 months post-surgery. Results: Mean lesion volumes significantly decreased from 431.4 mm3 at baseline to 102.8 mm3 at 6 months and 49.2 mm3 at 12 months (p < 0.001). A-PRF did not significantly reduce the lesion sizes compared to the controls (p = 0.043), but was associated with reduced inflammation and enhanced soft tissue healing. Key confounders included gender and baseline lesion volume, with males exhibiting smaller lesion sizes postoperatively. Conclusions: The results suggest that A-PRF may not offer a significant advantage in terms of reducing defect size or improving radiographic resolution.
A 4T1C Pixel Circuit with Threshold Voltage Compensation for Organic Light-Emitting Diode on Silicon Microdisplays
Authors: Sun Jian , Li Chen , Cao Yuexin , Lai Liangde , Song Weichen
Published: February 2025

In this paper, a pixel circuit consists of four MOSFETs and one capacitor is proposed for Organic Light-Emitting Diode on Silicon (OLEDoS) microdisplays. The proposed pixel circuit enhances luminance uniformity by compensating for the threshold voltage variation of the driving transistors by the capacitive coupling effect. Even with a threshold voltage variation of ±20 mV, the HSPICE simulation results reveal that the driving current offset stays between −0.89 and 0.70 LSB, which is more than seven times smaller than that of the conventional 2T1C pixel circuit. Additionally, a two-stage DAC driving scheme has been utilized to achieve 256 gray levels, aiming to reduce the accuracy requirements for the DAC circuit. The proposed pixel circuit demonstrates significant potential in high-performance OLEDoS microdisplay applications.
Quantum Particle Swarm Optimisation Proportional–Derivative Control for Trajectory Tracking of a Car-like Mobile Robot
Authors: Numbi Joslin , Zioui Nadjet , Tadjine Mohamed
Published: February 2025

The goal of this research is to formulate and compare two algorithms, classical particle swarm optimisation (PSO) and quantum PSO (QPSO), for optimising the motion of a car-like mobile robot. Both algorithms are evaluated on the basis of their reduction and stabilisation of the root mean square error (RMSE) between the robot’s desired and actual trajectories. An implementation of the robot’s dynamic motion is provided. The robot’s mass and inertia are considered. The robot’s settings and the viscosity of the surroundings present a few obstacles to following the specified path. For each algorithm, the proportional (Kp) and derivative (Kd) parameters of the controller are optimised, and the convergence speeds and stabilities of the controllers are compared. The results show that both algorithms perform comparably. However, the QPSO method converges faster and is more stable at optimal Kp and Kd values. The ramifications of this research extend beyond trajectory tracking. Enhanced optimisation approaches can lead to higher performance in a variety of robotic systems, including autonomous cars, drones, and automation systems, by employing advanced quantum algorithms, such as QPSO.
RETRACTED: Xiao et al. Fault Diagnosis of Traction Transformer Based on Bayesian Network. Energies 2020, 13, 4966
Authors: Xiao Yong , Pan Weiguo , Guo Xiaomin , Bi Sheng , Feng Ding , Lin Sheng
Published: February 2025

The journal retracts the article entitled “Fault Diagnosis of Traction Transformer Based on Bayesian Network” [...]
Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines
Authors: Wang Yuankui , Liu Hai , Li Qingyuan , Wang Xinchen , Zhou Zizhao , Xu Haiyang , Zhang Dahai , Qian Peng
Published: February 2025

With the increasing complexity of offshore wind turbine structures and the rapid expansion of wind power projects, efficient, reliable, and robust fault diagnosis and condition monitoring methods have become crucial for effective operation and maintenance management. Wind turbine condition monitoring plays a pivotal role in improving operational efficiency. However, most existing fault diagnosis techniques based on vibration signals are designed for rotating mechanical equipment operating at constant speeds. In contrast, offshore wind turbines experience continuously varying speeds, especially during start-up, shutdown, and under fluctuating wind conditions, leading to rotor speed variations that complicate monitoring. This paper presents a comprehensive analysis of the vibration and fault characteristics of key components in the main drivetrain of offshore wind turbines, with a particular focus on monitoring non-stationary (variable speed) operations. Unlike conventional approaches, this work specifically addresses the challenges posed by the dynamic operating conditions of offshore wind turbines, providing insights into multi-component vibration signal feature extraction and fault diagnosis under variable-speed scenarios. The comparative analysis offered in this paper highlights the limitations of current methods and outlines key directions for future research, emphasizing practical solutions for fault diagnosis and condition monitoring in offshore wind turbine operations under variable-speed conditions. This study not only fills a gap in the current literature but also provides valuable guidance for enhancing the reliability and efficiency of offshore wind turbine maintenance.
Analysis of Volatile and Non-Volatile Components of Dried Chili Pepper (Capsicum annuum L.)
Authors: Li Wenqi , Wang Yuan , Xing Lijie , Song Wensheng , Lu Shiling
Published: February 2025

As an important crop in the world, dried pepper is widely used in various foods. However, the sensory quality, fruit shape index, edible index, nutrition index, and volatile components of dried pepper have not been comprehensively analyzed. This study elucidated the differences between different varieties of dried pepper and provided the basis for the selection of raw materials for different varieties of dried pepper products. The varieties with high scores in sensory evaluation were Henan new generation, Neihuang new generation, Chengdu Erjingtiao, India S17, and Honglong 12. The varieties with the highest fruit shape index, edible rate, and nutrition index were Chengdu Erjingtiao and Guizhou Erjingtiao. A total of 380 volatile organic compounds were identified by comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry with headspace sampling (HS-GC-TOF MS), including 62 alcohols, 50 aldehydes, 68 ketones, 60 hydrocarbons, 99 esters, 18 acids, and 23 other substances such as pyrazoles and ethers.
Consumers’ Drivers of Perception and Preference of Fermented Food Products and Beverages: A Systematic Review
Authors: García-Barón Sergio Erick , Carmona-Escutia Rosa Pilar , Herrera-López Enrique J. , Leyva-Trinidad Doris Arianna , Gschaedler-Mathis Anne
Published: February 2025

The fermentation of food products is a transformation and preservation process in which different metabolites are generated, contributing to consumer health. In this sense, this systematic review aims to analyze the factors that guide the perception and preference for fermented foods. In addition, different perspectives are proposed based on the findings. The systematic search was carried out in four databases: Emerald Insight, Science Direct, Wiley Online Library, and Multidisciplinary Digital Publishing Institute. The keywords used were (Title/Abstract): fermented products, overall liking, purchase intention, expectations, emotions, interculturality, perception, and consumers. Ninety-two articles (n = 92) were selected and classified. The factors identified were (1) biological and physiological, (2) extrinsic product characteristics, (3) intrinsic product characteristics, (4) psychological, (5) situational, and (6) sociocultural. Intrinsic product characteristics were the most relevant, while the situational factors were the least studied. Our main contribution was a multidisciplinary approach to addressing the different factors in an integrated way, allowing a broader perspective of both products and consumers. This approach could help the reader understand consumer behavior and propose product improvements.
Entropies and Degree-Based Topological Indices of Coronene Fractal Structures
Authors: Xu Si-Ao , Liu Jia-Bao
Published: February 2025

Molecular fractals are geometric patterns that appear self-similar across all length scales and are constructed by repeating a single unit on a regular basis. Entropy, as a core thermodynamic function, is an extension based on information theory (such as Shannon entropy) and is used to describe the topological structural complexity or degree of disorder in networks. A topological index is a numeric quantity associated with a network or a graph that characterizes its whole structural properties. In this study, we focus on fractal structures formed by systematically repeating a fixed unit of coronene, a polycyclic aromatic hydrocarbon composed of six benzene rings fused in a hexagonal pattern. In this paper, three types of coronal fractal structures, namely zigzag (ZHCF), armchair (AHCF), and rectangular (RCF), are studied, and their five degree-based topological indices and corresponding entropies are calculated.
Fractal Hankel Transform
Authors: Golmankhaneh Alireza Khalili , Şevli Hamdullah , Cattani Carlo , Vidović Zoran
Published: February 2025

This paper explores the extension of classical transforms to fractal spaces, focusing on the development and application of the Fractal Hankel Transform. We begin with a concise review of fractal calculus to set the theoretical groundwork. The Fractal Hankel Transform is then introduced, along with its formulation and properties. Applications of this transform are presented to demonstrate its utility and effectiveness in solving problems within fractal spaces. Finally, we conclude by summarizing the key findings and discussing potential future research directions in the field of fractal analysis and transformations.
Membranous Nephropathy Target Antigens Display Podocyte-Specific and Non-Specific Expression in Healthy Kidneys
Authors: Dong Ying , Xu Hui , Tang Damu
Published: February 2025

Background/Objectives: Autoimmunity towards podocyte antigens causes membranous nephropathy (MN). Numerous MN target antigens (MNTAgs) have been reported, including PLA2R1, THSD7A, NTNG1, TGFBR3, HTRA1, NDNF, SEMA3B, FAT1, EXT1, CNTN1, NELL1, PCDH7, EXT2, PCSK6, and NCAM1, but their podocyte expression has not been thoroughly studied. Methods: We screened CZ CELLxGene single-cell RNA (scRNA) sequence datasets for those of adult, fetal, and mouse kidneys and analyzed the above MNTAgs’ expression. Results: In adult kidneys, most MNTAgs are present in podocytes, except PCSK6 and NCAM1. PLA2R1 is expressed significantly more than other MNTAgs in podocytes and is a major podocyte marker, consistent with PLA2R1 as the dominant MNTAg. Additionally, PLA2R1 is a top-upregulated gene in the podocytes of chronic kidney disease, acute kidney injury, and diabetic nephropathy, indicating its general role in causing podocyte injury. PLA2R1, NTNG1, HTRA1, and NDNF display podocyte-enriched expression along with elevated chromatin accessibility in podocytes, suggesting transcription initiation contributing to their preference expression in podocytes. In the fetal kidney, most MNTAgs are expressed in podocytes. While PLA2R1 is weakly present in podocytes, SEMA3B is abundantly expressed in immature and mature podocytes, supporting SEMA3B as a childhood MNTAg. In mouse kidneys, Thsd7a is the only MNTAg with a prominent level and podocyte-specific expression. Conclusions: Most MNTAgs are present in podocytes in adults and during renal development. In adults, PLA2R1 expression is highly enriched in podocytes and significantly upregulated in multiple kidney diseases accompanied by proteinuria. In mouse kidneys, Thsd7a is specifically expressed in podocytes at an elevated level.
Local Seismic Effects Responsible for Differentiated Damages in Historical City Centers: The Case Study of San Giustino’s Square (Chieti, Italy)
Authors: Faraone Chiara , Colantonio Fabio , Vessia Giovanna
Published: February 2025

To safeguard historic centers with masonry buildings in medium-high seismic areas, the local seismic response (LSR) should be used. These portions of the urban areas are commonly characterized by complex subsurface features (i.e., underground cavities, buried anthropic structures, and archeological remains) that could be responsible for unexpected amplifications at period intervals similar to the building’s ones. In this study, San Giustino’s Square (Chieti, Italy) was considered due to the differentiated damage caused by the 2009 L’Aquila earthquake mainshock (6 April 2009 at 3:32 CEST, 6.3 Mw). Out of the eight buildings overlooking the square, the structure that suffered the heaviest damage was the Justice Palace. Two-dimensional finite element analyses have been carried out in San Giustino’s square to predict the LSR induced by the seismic shear wave propagation. The influence of the Chieti hill, the anthropogenic shallow soil deposit, and the manmade cavity were investigated. The results outlined that the amplifications of the seismic shaking peaked between 0.2 and 0.4 s. The crest showed amplifications over a wide period range of 0.1–0.8 s with an amplification factor (FA) equal to 2. Throughout the square, FA = 2.0–2.4 was predicted due to the cavities and the filled soil thickness. The large amplified period range is considered responsible for the Justice Court damage.
Advances in Energy Harvesting for Sustainable Wireless Sensor Networks: Challenges and Opportunities
Authors: Mushtaq Muhammad Umer , Venter Hein , Singh Avinash , Owais Muhammad
Published: February 2025

Energy harvesting wireless sensor networks (EH-WSNs) appear as the fundamental backbone of research that attempts to expand the lifespan and efficiency of sensor networks positioned in resource-constrained environments. This review paper provides an in-depth examination of latest developments in this area, highlighting the important components comprising routing protocols, energy management plans, cognitive radio applications, physical layer security (PLS), and EH approaches. Across a well-ordered investigation of these features, this article clarifies the notable developments in technology, highlights recent barriers, and inquires avenues for future revolution. This article starts by furnishing a detailed analysis of different energy harvesting methodologies, incorporating solar, thermal, kinetic, and radio frequency (RF) energy, and their respective efficacy in non-identical operational circumstances. It also inspects state-of-the-art energy management techniques aimed at optimizing energy consumption and storage to guarantee network operability. Moreover, the integration of cognitive radio into EH-WSNs is acutely assessed, highlighting its capacity to improve spectrum efficiency and tackle associated technological problems. The present work investigates ground-breaking methodologies in PLS that uses energy-harvesting measures to improve the data security. In this review article, these techniques are explored with respect to classical encryption and discussed from network security points of view as well.The assessment furthers criticizes traditional routing protocols and their significance in EH-WSNs as well as the balance that has long been sought between energy efficiency and security in this space. This paper closes with the importance of continuous research to tackle existing challenges and to leverage newly available means as highlighted in this document. In order to adequately serve the increasingly changing requirements of EH-WSNs, future research will and should be geared towards incorporating AI techniques with some advanced energy storage solutions. This paper discusses the integration of novel methodologies and interdisciplinary advancements for better performance, security, and sustainability for WSNs.
A Cost-Minimization Analysis of Teleconsultation Versus In-Person Care for Chronic Diseases and Rehabilitation in Medically Underserved Areas of South Korea
Authors: Baek Sei-Jong , Choi Jeong-Ah , Noh Jin-Won , Jeong Hyoung-Sun
Published: February 2025

Background/Objectives: Access to healthcare in medically underserved areas remains a significant challenge in South Korea due to the concentration of healthcare resources in metropolitan regions. Telemedicine offers a promising approach to mitigating this issue, yet its cost-effectiveness in these settings remains underexplored. This study aims to conduct a cost-minimization analysis comparing teleconsultation and in-person care for chronic diseases, dementia, and rehabilitation in medically underserved areas. Methods: In accordance with CHEERS 2022 guidelines, this study evaluates both direct and indirect costs from a societal perspective, while accounting for costs borne by various societal stakeholders. It provides evidence to guide policy decisions in regions with significant healthcare access disparities. Results: Using data from South Korea’s 2018 teleconsultation pilot program involving 1232 patients, the analysis revealed that teleconsultation reduced societal costs per consultation by USD 7.92 for chronic diseases, USD 27.30 for dementia care, and USD 9.61 for rehabilitation. These savings were primarily attributed to reductions in productivity losses and transportation expenses. Furthermore, the analysis identified a shift in financial burden from patients and caregivers to government and public expenditures. Conclusions: The findings highlight teleconsultation’s effectiveness in reducing healthcare costs while consistently benefiting diverse patient groups, underscoring the necessity of integrating telemedicine into mainstream healthcare systems to improve access and alleviate financial strain on patients and their families.
AI Applications to Reduce Loneliness Among Older Adults: A Systematic Review of Effectiveness and Technologies
Authors: Yang Yuyi , Wang Chenyu , Xiang Xiaoling , An Ruopeng
Published: February 2025

Background/Objectives: Loneliness among older adults is a prevalent issue, significantly impacting their quality of life and increasing the risk of physical and mental health complications. The application of artificial intelligence (AI) technologies in behavioral interventions offers a promising avenue to overcome challenges in designing and implementing interventions to reduce loneliness by enabling personalized and scalable solutions. This study systematically reviews the AI-enabled interventions in addressing loneliness among older adults, focusing on the effectiveness and underlying technologies used. Methods: A systematic search was conducted across eight electronic databases, including PubMed and Web of Science, for studies published up to 31 January 2024. Inclusion criteria were experimental studies involving AI applications to mitigate loneliness among adults aged 55 and older. Data on participant demographics, intervention characteristics, AI methodologies, and effectiveness outcomes were extracted and synthesized. Results: Nine studies were included, comprising six randomized controlled trials and three pre–post designs. The most frequently implemented AI technologies included speech recognition (n = 6) and emotion recognition and simulation (n = 5). Intervention types varied, with six studies employing social robots, two utilizing personal voice assistants, and one using a digital human facilitator. Six studies reported significant reductions in loneliness, particularly those utilizing social robots, which demonstrated emotional engagement and personalized interactions. Three studies reported non-significant effects, often due to shorter intervention durations or limited interaction frequencies. Conclusions: AI-driven interventions show promise in reducing loneliness among older adults. Future research should focus on long-term, culturally competent solutions that integrate quantitative and qualitative findings to optimize intervention design and scalability.
Glycemic Control and Implant Stability in Patients with Type II Diabetes: Narrative Review
Authors: Cosola Saverio , Butera Andrea , Hailu Zergaw Abenezer , George Jaibin , Covani Ugo , Arrighi Augusto , Toti Paolo , Scribante Andrea , Menchini-Fabris Giovanni Battista
Published: February 2025

Advancements in implant design, surface characteristics, and surgical protocols have made implant restorations safe and highly predictable procedures. Bone metabolism plays a central role in the success of implant therapy. Diabetes mellitus is a significant disease impacting bone metabolism, particularly during the initial stages of osseointegration and in long-term survival. Moreover, aging is linked to various systemic conditions, such as diabetes, which increase the susceptibility of the periodontium and teeth to disease, often resulting in tooth loss. Studies on the impact of glycemic control on the success and longevity of implant–prosthetic rehabilitation in diabetic patients highlight a significant association between hyperglycemia and complications in implant therapy. This review identified 18 relevant publications through Medline, and studies were screened against the aim and objectives of the review. A total of five articles were excluded because of lack of focus on the effect of glycemic control on dental implants. Diabetic patients with poorly controlled blood glucose levels may face a heightened risk of developing implant complications. Effective glycemic control plays a critical role in the long-term success of dental implants in these individuals. Marginal bone loss (MBL) is a critical indicator of implant health and success. Clinical studies generally show greater MBL in diabetic patients compared to non-diabetic individuals. Furthermore, controlled type 2 diabetes mellitus (T2DM) has been associated with significantly better maintenance.