bluuebunny/crossref_metadata_2025 huggingface dataset:
Security Situation Assessment for Terminal Area Control System Operation Based on BN-ISSA-ELM
Authors: Zhang Zhaoning , Zhang Yurong
Published: December 2024

Performing an operational safety situation evaluation of the terminal area control system is crucial for enhancing safety management and ensuring operational safety in the terminal area. We use a combination active–passive risk source identification method to thoroughly identify the safety features of the terminal area control system, and then establish a related indicator system. After that, the system’s secondary and primary indicators are used as input and output vectors for an Extreme Learning Machine (ELM). This creates an ISSA-ELM-based risk probability prediction model for the primary indicators, which gives us the predicted values of the primary indicator risks. Bayesian theory merges the output results to determine the overall safety status of the terminal area control system. The evaluation results indicate a distinct correlation between the secondary and primary indicators in a terminal area of North China. The ELM, which has been improved by the Sparrow Search Algorithm (ISSA), correctly displays this mapping and predicts the operational risks. The improved model is able to make predictions that are more than 80% accurate. A comparison of the model’s evaluation results with the actual operational conditions during the same period demonstrates consistency, suggesting that this method may consistently evaluate the operational safety status of the terminal area control system.
Integrated Dynamic Analysis of Thin-Walled Beams: Coupled Bidirectional Bending, Torsion, and Axial Vibrations Under Axial Loads
Authors: Yu Yunjie , Wei Huanxia , Zheng Baojing , Tian Dongfang , He Lingli
Published: December 2024

This paper proposes a beam model integrating the Timoshenko beam theory with Vlasov beam theory to capture the coupled behavior of bidirectional bending, torsion, and axial vibration in thin-walled beams subjected to axial loads. Our model incorporates the effects of shear deformation, rotational inertia, and axial loads, offering a comprehensive approach to complex dynamic behaviors. By utilizing Hamilton’s principle, we derived a complete set of coupled dynamic equations and boundary conditions. The highlight of this model is its capacity to accurately predict the dynamic response of thin-walled beams under multifaceted loading conditions, surpassing traditional models by integrating coupled axial vibrations. This research significantly advances the understanding of the dynamic behavior of thin-walled beams, providing a precise analytical tool for structural design and safety assessment. The robustness and accuracy of the proposed model were validated through extensive theoretical analysis and empirical validation, equipping engineers with critical insights to optimize the design of engineering structures subjected to complex dynamic loads.
Mechanisms of Noise Transmission in Velocity Broad-Band Seismometers: Modeling and Analysis
Authors: Sun Yini , Zhang Zhongkun , Zhu Zhijuan , Chen Bin , Ye Lingyun
Published: December 2024

This paper focuses on the noise transmission process, presenting a comprehensive noise transfer model for velocity broad-band seismometers, which elucidate the transmission mechanisms of five distinct noise sources. We analyzed the spectral characteristics of the noise transfer functions across the forward path, feedback path, and data acquisition stages, with a focus on gains, corner frequencies, and the 0 dB point. Numerical simulations and experiments using the CS60 seismometer showed excellent agreement with theoretical predictions, validating the proposed model and associated noise optimization strategies. This study identified effective methods to reduce noise transfer gains, including optimizing the input and feedback mechanical constants and refining gains at various stages.
Research Progress in Biodiversity and Human Well-Being, Based on CiteSpace
Authors: Zhang Sunbowen , Wen Linsheng , Weng Aifang , Cheng Dongliang , Li Baoyin
Published: December 2024

Biodiversity is crucial for human well-being and economic prosperity, representing a significant factor in constructing a global community of life on Earth. This study focuses on 4453 articles indexed in the Web of Science Core Collection, employing the visualization analysis software Citespace 6.2.R7 for bibliometric analysis of research related to biodiversity and human well-being. The findings indicate the following: (1) there is a steady increase in publications on biodiversity and human well-being, covering 167 disciplinary fields, indicating a broad research scope; (2) the literature spans 168 countries and regions, with major contributions from the United States, England, Germany, Australia, and China; (3) COSTANZA R is the most cited author in this field, with Science being the most recognized journal; and (4) current research hot topics include ecosystem services, genetic diversity, marine protected areas, nature-based solutions (NbS), and green spaces, while climate change, urban green space management, and national park system development are identified as important emerging directions. This study, grounded in significant global literature, aims to enrich the breadth and depth of research on biodiversity and human well-being, offering feasibility references for constructing theoretical frameworks in biodiversity studies and providing theoretical guidance for promoting modern harmonious coexistence between humans and nature.
Nanolabels Prepared by the Entrapment or Self-Assembly of Signaling Molecules for Colorimetric and Fluorescent Immunoassays
Authors: Xia Ning , Li Yadi , He Cancan , Deng Dehua
Published: December 2024

Nanomaterials have attracted significant attention as signal reporters for immunoassays. They can directly generate detectable signals or release a large number of signaling elements for readout. Among various nanolabels, nanomaterials composed of multiple signaling molecules have shown great potential in immunoassays. Generally, signaling molecules can be entrapped in nanocontainers or self-assemble into nanostructures for signal amplification. In this review, we summarize the advances of signaling molecules-entrapped or assembled nanomaterials for colorimetric and fluorescence immunoassays. The nanocontainers cover liposomes, polymers, mesoporous silica, metal–organic frameworks (MOFs), various nanosheets, nanoflowers or nanocages, etc. Signaling molecules mainly refer to visible and/or fluorescent organic dyes. The design and application of immunoassays are emphasized from the perspective of nanocontainers, analytes, and analytical performances. In addition, the future challenges and research trends for the preparation of signaling molecules-entrapped or assembled nanolabels are briefly discussed.
The Impact of Intraoperative CT-Based Navigation in Congenital Craniovertebral Junction Anomalies: New Concepts of Treatment
Authors: Cracchiolo Giorgio , Baram Ali , Capo Gabriele , Rossini Zefferino , Riva Marco , Fanti Andrea , De Robertis Mario , Fornari Maurizio , Pessina Federico , Brembilla Carlo
Published: December 2024

Background: Congenital craniovertebral junction anomalies (CCVJAs) encompass a diverse range of conditions characterized by distorted anatomy and significant variation in the pathways of neurovascular structures. This study aims to assess the safety and feasibility of tailoring posterior fixation for CCVJAs through intraoperative CT-based navigation. Methods: An in-depth retrospective analysis was conducted on eight patients diagnosed with CCVJAs (excluding Arnold–Chiari malformation). These patients underwent posterior fixation/arthrodesis facilitated by intraoperative CT-based navigation. The analysis included an examination of the fixation strategies, complication rates, length of stay, post-operative complications, and success of arthrodesis. Additionally, a comprehensive literature review was undertaken to contextualize and compare our findings. Results: Patients undergoing CVJ posterior fixation with intraoperative CT-based navigation exhibited a flawless record, devoid of complications related to the damage to neurovascular structures, as well as any instances of screw misposition, pullout, or breakage (0 out of 36 total screws). Furthermore, the entire cohort demonstrated a 100% arthrodesis rate. None of the patients required treatment with an occipital plate. Conclusions: The incorporation of intraoperative CT-based navigation proves to be an invaluable asset in executing CVJ posterior fixation within the context of CCVJAs. This technology facilitates the customization of posterior constructs, a crucial adaptation required to navigate the anatomical challenges posed by these anomalies. The secure placement of screws into the occipital condyles, made possible by navigation, has proven highly effective in achieving CVJ fixation, obviating the need for an occipital plate. This technological leap represents a significant advancement, enhancing the safety, precision, and overall outcomes for patients undergoing this surgical procedure, while concurrently reducing the necessity for more invasive and morbid interventions.
A Direct Measurement Method for the Uniaxial Tensile Strength of Rock
Authors: Hong Zhipeng , He Mingming , Ding Mingchen , Yu Xiaoyue , He Liang , Zhang Yinuo , Wen Zhaoyu
Published: December 2024

A universally applicable direct tension test method is proposed in this paper based on the concept of “compression-to-tension”. Using this method, one or two typical rocks were selected for each of the three types of rocks. The testing results of the direct tension method proposed were compared with the internationally recommended Brazilian splitting method to validate the feasibility of the direct tension method. Results showed that the tensile strengths of six typical rocks were consistent using the direct tensile test method proposed in this study and the Brazilian splitting method recommended internationally. The direct tensile strength deviation coefficient (Cv) of the six types of rocks was less than 0.1, indicating very small variability. In this study, the deviation coefficient (Cv) of the axial displacement corresponding to the tensile strength in both the direct tensile and indirect tensile tests was also less than 0.1, reflecting minimal variability. This shows the consistency of the two tensile test results to a certain extent, and also shows that the direct tensile test method is feasible to determine the tensile strength of rock.
Numerical Simulation of Backfilling Construction for Underground Reinforced Concrete Grain Silos
Authors: Yue Longfei , Chen Guixiang , Cui Chenxing , Liu Chaosai , Zhao Boyi
Published: December 2024

Food security is an important guarantee for national security and public health. Underground reinforced concrete (RC) grain silos can provide a quasi-low temperature environment for grain storage, effectively ensuring the quality of the stored grain. The stress status of the underground silo during soil backfilling construction is complex, which puts the structure at risk of failure. The present study developed a numerical simulation method to investigate the mechanical properties of underground silos during backfilling construction processes. A finite element (FE) analysis of the backfilling construction process of an underground RC grain silo was conducted, and the nonlinear contact between the underground silo and the surrounding soil, as well as the material nonlinear behavior of the soil, was considered. The deformation characteristics and stress distribution of the underground silo during the backfilling construction process were revealed. The results indicate that the underground RC grain silo exhibits good mechanical performance. The underground silo underwent overall settlement during the backfilling construction process, with a total settlement of 21 mm. The maximum radial displacement of the silo wall and the maximum deflection of the radial primary beam were 0.84 mm and 5.67 mm, respectively, both of which were smaller than the limit values. After the completion of backfilling construction, there was a high risk of concrete cracking of the silo wall. The maximum radial and circumferential tensile stresses of the concrete at the silo top were both high, which led to cracking in the top of the silo. Our research results provide important support for the design and evaluation of underground RC grain silos.
Update on Resection Strategies for Hepatocellular Carcinoma: A Narrative Review
Authors: Lee Jun Suh , Choi Hyeong Woo , Kim Ji Su , Lee Tae Yoon , Yoon Young Chul
Published: December 2024

Hepatocellular carcinoma (HCC) is the most common primary liver cancer, the incidence of which is rising globally. Despite recent advancements in immunotherapeutic and surgical treatment modalities, the prognosis for HCC remains poor. The surgical treatment strategy for HCC comprises a multimodal effort that ranges from ablative therapy and surgical resection to liver transplantation. Thanks to collective efforts from the surgical society, there have been rapid advances in resection strategies, such as 3D printing for surgical planning and minimally invasive techniques to minimize surgical trauma. This review examines recent advancements in surgical techniques, patient selection criteria, and perioperative management for HCC resection. The purpose of this review was to provide clinicians and researchers with an up-to-date perspective on the evolving role of surgical resection in HCC treatment, and to identify key areas for future investigation to improve patient outcomes.
Titanium Dioxide 1D Nanostructures as Photocatalysts for Degradation and Removal of Pollutants in Water
Authors: Frías Márquez Dora María , Méndez González José Ángel , López González Rosendo , García Mendoza Cinthia , Tzompantzi Morales Francisco Javier , Quintana Owen Patricia , Alvarez Lemus Mayra Angélica
Published: December 2024

The oxidation of organic pollutants in water is the most reported application of a Titanium dioxide (TiO2) photocatalyst. During the last decade, photoreduction with TiO2 has also been explored but simultaneous capabilities for unmodified TiO2 have not been reported yet. Here, we reported on the fabrication of TiO2 nanorods using hydrothermal treatment and compared the effect of two different TiO2 powders as the starting material: P-25 and TiO2 sol–gel (N-P25 and N-TiO2, respectively) which were further calcined at 400 °C (N-P25-400 and N-TiO2-400). XPS and XRD analyses confirmed the presence of sodium and hydrogen titanates in N-P25, but also an anatase structure for N-TiO2. The specific surface area of the calcined samples decreased compared to the dried samples. Photocatalytic activity was evaluated using phenol and methyl orange for degradation, whereas 4-nitrophenol was used for photoreduction. Irradiation of the suspension was performed under UV light (λ = 254 nm). The results demonstrated that the nanorods calcined at 400 °C were more photoactive since methyl orange (20 ppm) degradation reached 86% after 2 h, when N-TiO2-400 was used. On the other hand, phenol (20 ppm) was completely degraded by the presence of N-P25-400 after 2 h. Photoreduction of 4-nitrophenol (5 ppm) was achieved by the N-TiO2-400 during the same period. These results demonstrate that the presence of Ti3+ and the source of TiO2 have a significant effect on the photocatalytic activity of TiO2 nanorods. Additionally, the removal of methylene blue (20 ppm) was performed, demonstrating that N-TiO2 exhibited a high adsorption capacity for this dye.
Correction: Li et al. Nodal Facilitates Differentiation of Fibroblasts to Cancer-Associated Fibroblasts that Support Tumor Growth in Melanoma and Colorectal Cancer. Cells 2019, 8, 538
Authors: Li Ziqian , Zhang Junjie , Zhou Jiawang , Lu Linlin , Wang Hongsheng , Zhang Ge , Wan Guohui , Cai Shaohui , Du Jun
Published: December 2024

In the original publication, there was a mistake in Figure 1B as published [...]
Patient-Reported Outcomes Measurement Information System as a Clinical Tool for Capturing the Patient Perspective in Pediatric Inflammatory Bowel Disease: A Narrative Review
Authors: Azevedo Sara , Lopes Ana Isabel
Published: December 2024

Inflammatory bowel disease (IBD) is an immune-mediated chronic disease with a significant impact on quality of life. In pediatric patients, diagnosing and managing IBD is particularly challenging, and IBD often presents as a more severe and progressive disease. Patient-reported outcomes (PROs) are measures of treatment and disease management outcomes reported by patients and/or caregivers. These measures evaluate several aspects of disease management from the patient/caregiver perspective, emphasizing the patient’s real-life experience with the disease and its treatment. PROs represent a model of patient-centered care, facilitating better-informed healthcare decisions. The Patient-Reported Outcomes Measurement Information System (PROMIS) was developed to promote the use of PROs among patients with chronic conditions. Its primary objective is to provide PROs for research and clinical practice throughout the lifespan. The PROMIS is a non-disease-specific instrument for both adults and pediatric patients assessing domains of physical, psychological, and social health, as well as quality of life (QOL). These instruments are designed to be applicable to a wide range of chronic diseases. Despite the initial expectation concerning PROs in assessing pediatric IBD outcomes, objective data in this area have only recently begun to emerge. This narrative review, based on a selection of reliable articles recognized by PubMed and Cochrane Library, aimed to identify and summarize previously published evidence of the usefulness of PROs, particularly the PROMIS, in IBD patients and in the pediatric population. We present an updated perspective, including identification of their general applications and most relevant previous studies, in the mentioned areas and identify knowledge gaps.
Application of Resistance Ring Array Sensors for Oil–Water Two-Phase Flow Water Holdup Imaging in Horizontal Wells
Authors: Li Ao , Guo Haimin , Peng Wenfeng , Yu Liangliang , Liang Haoxun , Sun Yongtuo , Wang Dudu , Guo Yuqing , Ouyang Mingyu
Published: December 2024

Unconventional oil and gas reservoirs are frequently developed using inclined and horizontal wells, leading to intricate multiphase flow patterns due to spatial asymmetry surrounding the wellbore and gravitational differentiation effects. Through the examination of water holdup imaging, the spatial arrangement of oil and water phases within the wellbore may be clearly depicted, yielding critical information for precisely assessing the ratios of oil and gas. This study employed No. 10 industrial white oil and tap water as fluid media, with measurements obtained using a resistive ring array tool (RAT) to evaluate its response properties over the wellbore cross-section. The data gathered throughout the trials were analyzed by two-dimensional interpolation imaging utilizing 2020 version MATLAB software. To enhance the analysis of water holdup distribution in the wellbore, three interpolation algorithms were utilized: Simple Linear Interpolation (SLI), Inverse Distance Weighting Interpolation (IDWI), and Ordinary Kriging Interpolation (OKI). The results indicated that RAT operates effectively in medium and low flow circumstances, correctly representing the real distribution of oil and water phases while yielding more dependable water holdup data. The SLI algorithm effectively delineates the oil-water interface during stratified flow of oil and water phases, rendering it the optimal algorithm for determining water holdup in standard flow patterns. Under DW/O&W and DO/W&W flow patterns, SLI continues to perform well; however, the accuracy of IDWI and OKI markedly enhances, with IDWI more effectively delineating the attributes of intricate mixed flow and more precisely representing the dynamic fluid distribution. Under DW/O and DO/W flow patterns, the OKI algorithm exhibits optimal performance in these intricate dispersed flow patterns. OKI more precisely represents the dynamic distribution of dispersed oil and water due to its capacity to simulate the spatial correlation of both phases, surpassing both SLI and IDWI.
The Evaluation of Radiolabeled Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography for Initial Staging in Intermediate-Risk Prostate Cancer Patients: A Retrospective Multicenter Analysis
Authors: Evangelista Laura , Guglielmo Priscilla , Giacoppo Giulia , Setti Lucia , Aricò Demetrio , Muraglia Lorenzo , Marzo Katia , Buffi Nicolò , Fasulo Vittorio , Rodari Marcello , Jandric Jelena , Salvaggio Antonio , Bonacina Manuela , Lazzeri Massimo , Lughezzani Giovanni
Published: December 2024

Objectives. The aim of the present study was to assess the performance of radiolabeled-PSMA PET/CT in a cohort of intermediate-risk prostate cancer (PCa) patients for initial staging. Methods. This is a retrospective, multicenter analysis of patients diagnosed with intermediate-risk PCa who were staged using radiolabeled PSMA PET/CT to evaluate the extent of the disease before initiating appropriate treatment. The study included patients from the Nuclear Medicine Units of the Humanitas group between 2021 and 2024. The change in management due to the PSMA PET/CT examination was assessed. Results. A total of 181 patients were enrolled across all three centers. Histopathological assessment from biopsy revealed that 51.4% of patients had favorable PCa, while 48.6% had unfavorable disease. PET/CT was positive for the primary lesions in all patients, but it revealed a positivity rate in 23 (12.7%) patients for nodes and distant organs, with a positivity rate of 0.21 in the unfavorable group and 0.05 in the favorable group (p < 0.005). Based on follow-up data, diagnostic accuracy was higher than 90% in both the favorable and unfavorable groups for lymph node and distant metastases. The inclusion of PSMA PET/CT in the diagnostic algorithm for patients with intermediate-risk PCa impacted patient management in 24 (13.3%) cases, based on the multidisciplinary team decision. Conclusions. PSMA PET/CT can affect the management of patients with intermediate-risk PCa in up to 13% of cases, mainly for unfavorable diseases. New imaging techniques as a first-line imaging procedure can help to plan the correct therapeutic approach in the intermediate-risk PCa group.
The Condition of the Masseter Muscles After Orthodontic Treatment with Fixed Appliances
Authors: Szajkowski Sebastian , Pasek Jarosław , Cieślar Grzegorz
Published: December 2024

Background: One of the methods used in malocclusion treatment is the use of fixed appliances. Research conducted so far has revealed that changes in bite force occurring over the course of orthodontic treatment are directly related to the functional status of the masticatory muscles. It is therefore advisable to find out how the biomechanical parameters of the masseter muscles change after treatment with the application of fixed appliances. Methods: The study material comprised 74 individuals, divided into the study group (n = 37) treated by means of fixed orthodontic appliances over the average time of 12.27 months and the control group (n = 37) consisting of individuals did not undergo orthodontic treatment. The biomechanical properties of the masseter muscles were examined by means of myotonometry. Results: Upon completion of orthodontic treatment, the values of the parameters of tension, stiffness, and elasticity of masseter muscles located on both sides did not statistically significantly differ between patients from the study group who were treated by means of fixed orthodontic appliances and patients from control group who did not undergo orthodontic treatment. Conclusions: Treatment of malocclusions with the use of fixed appliances does not affect the biomechanical and visco-elastic properties of the masseter muscles (stiffness, tension, and elasticity) assessed by means of myotonometry and it appears safe for masticatory muscles.
Prospective Teachers’ Self-Regulation: The History of Mathematics as a Tool for Perseverance
Authors: Panaoura Rita
Published: December 2024

The present study investigated the effect of improving prospective teachers’ self-regulation to teach mathematics at primary education through the mathematical courses they attended at a pedagogical department. Forty-eight students of a pedagogical department participated in the conducted quantitative study. The implemented intervention program, which consisted of two math content courses and a teaching methodology course on mathematics, emphasized the acquaintance of unsolved mathematical problems, the historical development of mathematical concepts, the obstacles faced during the development of concepts through the centuries, and the process of mathematical continuity and development. The use of the history of mathematics aimed to enhance participants’ self-regulatory abilities about the learning and teaching of mathematics. We had used data from tools administered four times over a period of the four years of their studies: at the beginning of their studies, after two math content courses, after a course about the teaching of mathematics, and after the field work at a school. The analysis of those data showed that there was an improvement in their mathematical performance and their self-regulation ability to solve problems, but there was a decrease in their self-efficacy beliefs to teach mathematics and to self-regulate their respective teaching behavior. We discuss the effectiveness of the program on the specific dimension and the implications of the design of teacher education programs grounded in the history of mathematics, with the aim to enhance prospective teachers’ self-regulation on handling difficult situation during the teaching of mathematics.
Exploring University Staff Views on Providing Continuing Education for Professional Engineers in Denmark: Using the Q Methodology
Authors: Nørgaard Bente , Chen Juebei , Korning Ida , Du Xiangyun
Published: December 2024

This article reports on a study examining 28 university engineering educators’ viewpoints on how to provide continuing education for professional engineers in a Danish university context. The Q methodology was adopted to collect and analyze data qualitatively and quantitatively. Three significantly different viewpoints were identified, prioritizing (1) a continuing engineering education (CEE) business model as an institutional priority, (2) organizational structure, and (3) pedagogy inspired by problem-based learning (PBL). The study also captured consensus on the importance of identifying the industry’s need for CEE organizations. The results reveal that CEE development needs to address diverse voices from different stakeholders, including leadership, academic faculty, and administrators; thus, suggestions from an organizational change perspective are proposed in four key aspects of CE organizations.
A Fast Modeling Method for BOR–FDTD
Authors: Chen Meng , He Xinbo , Wei Bing
Published: December 2024

Aiming at the inefficiency caused by the optimal design of rotationally symmetric horn feed models, a fast modeling method for rotationally symmetric structures is proposed, which is used to deal with the mesh generation of rotationally symmetric structures and the rapid establishment of computational models. In this paper, the body-of-revolution finite-difference time-domain (BOR–FDTD) method is employed to investigate the radiation performance of the horn feed. Due to the rotational symmetry of the horn antenna, modeling only requires the establishment of a two-dimensional cross-sectional mesh of the horn feed. An optimized Delaunay triangulation algorithm combined with the projection intersection method is utilized to triangulate the horn cross-section of arbitrary polygons and establish the BOR–FDTD computational mesh. Results from both single-medium and multi-medium triangulation algorithms and computational models verify the accuracy of this modeling method. The radiation patterns of a smooth-walled horn were calculated and compared with the modeling time of MATLAB 2017 and the simulation time of CST. The results reveal that the algorithm presented in this paper aligns well with the simulation results from CST; furthermore, the modeling time amounts to only 6.78% of the MATLAB program’s modeling time, while the total simulation time is 31.3% of CST, which demonstrates both the accuracy and efficiency of the proposed method.
PerFuSIT: Personalized Fuzzy Logic Strategies for Intelligent Tutoring of Programming
Authors: Chrysafiadi Konstantina , Virvou Maria
Published: December 2024

Recent advancements in intelligent tutoring systems (ITS) driven by artificial intelligence (AI) have attracted substantial research interest, particularly in the domain of computer programming education. Given the diversity in learners’ backgrounds, cognitive abilities, and learning paces, the development of personalized tutoring strategies to support the effective attainment of learning objectives has become a critical challenge. This paper introduces personalized fuzzy logic strategies for intelligent programming tutoring (PerFuSIT), an innovative fuzzy logic-based module designed to select the most appropriate tutoring strategy from five available options, based on individual learner characteristics. The available strategies include revisiting previous content, progressing to the next topic, providing supplementary materials, assigning additional exercises, or advising the learner to take a break. PerFuSIT’s decision-making process incorporates a range of learner-specific parameters, such as performance metrics, error types, indicators of carelessness, frequency of help requests, and the time required to complete tasks. Embedded within the traditional ITS framework, PerFuSIT introduces a sophisticated reasoning mechanism for dynamically determining the optimal instructional approach. Experimental evaluations demonstrate that PerFuSIT significantly enhances learner performance and improves the overall efficacy of interactions with the ITS. The findings highlight the potential of fuzzy logic to optimize adaptive tutoring strategies by customizing instruction to individual learners’ strengths and weaknesses, thereby providing more effective and personalized educational support in programming instruction.
Novel Low-Power Computing-In-Memory (CIM) Design for Binary and Ternary Deep Neural Networks by Using 8T XNOR SRAM
Authors: Gundrapally Achyuth , Alnatsheh Nader , Choi Kyuwon Ken
Published: December 2024

The increasing demand for high-performance and low-power hardware in artificial intelligence (AI) applications, such as speech recognition, facial recognition, and object detection, has driven the exploration of advanced memory designs. Convolutional neural networks (CNNs) and deep neural networks (DNNs) require intensive computational resources, leading to memory access times and power consumption challenges. To address these challenges, we propose the application of computing-in-memory (CIM) within FinFET-based 8T SRAM structures, specifically utilizing P-latch N-access (PLNA) and single-ended (SE) configurations. Our design significantly reduces power consumption by up to 56% in the PLNA configuration and 60% in the SEconfiguration compared to traditional FinFET SRAM designs. These reductions are achieved while maintaining competitive delay performance, making our approach a promising solution for implementing efficient and low-power AI hardware. Detailed simulations in 7 nm FinFET technology underscore the potential of these CIM-based SRAM structures in overcoming the computational bottlenecks associated with DNNs and CNNs.
MIVNDN: Ultra-Short-Term Wind Power Prediction Method with MSDBO-ICEEMDAN-VMD-Nons-DCTransformer Net
Authors: Zhuang Qingze , Gao Lu , Zhang Fei , Ren Xiaoying , Qin Ling , Wang Yongping
Published: December 2024

Wind speed, wind direction, humidity, temperature, altitude, and other factors affect wind power generation, and the uncertainty and instability of the above factors bring challenges to the regulation and control of wind power generation, which requires flexible management and scheduling strategies. Therefore, it is crucial to improve the accuracy of ultra-short-term wind power prediction. To solve this problem, this paper proposes an ultra-short-term wind power prediction method with MIVNDN. Firstly, the Spearman’s and Kendall’s correlation coefficients are integrated to select the appropriate features. Secondly, the multi-strategy dung beetle optimization algorithm (MSDBO) is used to optimize the parameter combinations in the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) method, and the optimized decomposition method is used to decompose the historical wind power sequence to obtain a series of intrinsic modal function (IMF) components with different frequency ranges. Then, the high-frequency band IMF components and low-frequency band IMF components are reconstructed using the t-mean test and sample entropy, and the reconstructed high-frequency IMF component is decomposed quadratically using the variational modal decomposition (VMD) to obtain a new set of IMF components. Finally, the Nons-Transformer model is improved by adding dilated causal convolution to its encoder, and the new set of IMF components, as well as the unreconstructed mid-frequency band IMF components and the reconstructed low-frequency IMF, component are used as inputs to the model to obtain the prediction results and perform error analysis. The experimental results show that our proposed model outperforms other single and combined models.
The Mycobiota Diversity Associated with Mistletoe (Viscum album L.) in Poland
Authors: Pawłowicz Tomasz , Oszako Tomasz , Borowik Piotr , Malewski Tadeusz , Faedda Roberto
Published: December 2024

The spread of mistletoe, which mainly affects Scots pine in Europe’s managed forests, has become a serious ecological and economic problem, exacerbated by climate change and drought stress. Research into mistletoe-associated mycobiota provides crucial insights into the biology, ecology and distribution of these fungi and forms the basis for sustainable plant protection and effective management strategies. The aim of this study was to identify the fungal species associated with mistletoe (Viscum album L.) at 75 sites across Poland, with a focus on the northeastern regions of the country. The field work included a systematic and targeted search using the transect method, followed by laboratory analysis, during which fungal samples were prepared and examined under both light and scanning electron microscopes. The genetic analysis was carried out using ITS sequencing to confirm the presence of pathogen-specific fungi in the majority of V. album samples examined. The results showed four fungal species associated with the mycobiota of mistletoe: Sphaeropsis visci, Plenodomus visci, Cylindrodendrum hubeiense and Septoria krystynae. It is noteworthy that two of these species (P. visci and C. hubeiense) have not yet been detected in Poland. Based on these findings, the distribution areas of the identified fungal species were mapped accordingly.
Urban Flood Mitigation and Peri-Urban Forest Management: A Study on Citizen Participation Intention
Authors: Maleknia Rahim , Azadi Hossein , Ghahramani Afshin , Deljouei Azade , Sadeghi Seyed Mohammad Moein
Published: December 2024

Urban flooding is a widespread and impactful natural hazard, presenting considerable challenges to urban areas. Integrating peri-urban forests (PUFs) into flood management strategies has emerged as a promising approach to mitigate flood hazards. Citizen engagement in PUF management can enhance flood risk reduction efforts. A notable research gap exists in understanding the factors influencing citizens’ intentions to participate in PUF management for flood mitigation. To address this gap, this study investigates the determinants shaping citizens’ intention to engage in PUF management efforts. Using an extended Theory of Planned Behavior framework—which incorporates environmental awareness and risk perception—this research surveyed visitors to PUFs in Tehran. Structural equation modeling with SmartPLS was applied to examine the relationships among these variables. The findings reveal that attitudes, subjective norms, perceived behavioral control, and environmental awareness significantly influence citizens’ intentions. In contrast, perceived risk had no significant effect. This study highlights the importance of fostering positive attitudes toward PUF management, creating a supportive social environment, empowering individuals with knowledge and resources, and emphasizing environmental awareness in flood hazard reduction. The results provide empirical evidence supporting the inclusion of environmental awareness as a key determinant in an extended behavioral model. Enhancing citizens’ understanding of the immediate benefits of PUFs is crucial for promoting active participation in flood mitigation initiatives.
Estimation of Vegetation Carbon Sinks and Their Response to Land Use Intensity in the Example of the Beijing–Tianjin–Hebei Region
Authors: Yao Qing , Zhang Junping , Song Huayang , Yu Rongxia , Xiong Nina , Wang Jia , Cui Liu
Published: December 2024

Accurate regional carbon sequestration estimates are essential for China’s emission reduction and carbon sink enhancement efforts to address climate change. Enhancing the spatial precision of vegetation carbon sink estimates is crucial for a deeper understanding of the underlying response mechanisms, yet this remains a significant challenge. In this study, the Beijing–Tianjin–Hebei (BTH) region was selected as the study area. We employed the GF-SG (Gap filling and Savitzky–Golay filtering) model to fuse Landsat and MODIS data, generating high-resolution imagery to enhance the accuracy of NPP (Net Primary Productivity) and NEP (Net Ecosystem Productivity) estimates for this region. Subsequently, the Sen+MK model was used to analyze the spatiotemporal variations in carbon sinks. Finally, the land use intensity index, which reflects human activity disturbances, was applied, and the bivariate Moran’s spatial autocorrelation method was used to analyze the response mechanisms of carbon sinks. The results indicate that the fused GF-SG NDVI (Normalized Difference Vegetation Index) data provided highly accurate 30 m resolution imagery for estimating NPP and NEP. The spatial distribution of carbon sinks in the study area showed higher values in the northeastern forest regions, relatively high values in the southeastern plains, and lower values in the northwestern plateau and central urban areas. Additionally, 58.71% of the area exhibited an increasing trend, with 11.73% showing significant or strongly significant growth. A generally negative spatial correlation was observed between land use intensity and carbon sinks, with the impact of land use intensity on carbon sinks exceeding 0.3 in 2010. This study provides methodological insights for obtaining vegetation monitoring data and estimating carbon sinks in large urban agglomerations and offers scientific support for developing ecological and carbon reduction strategies in the BTH region.
Simulations on Evacuation Strategy and Evacuation Process of the Subway Train Under the Fire
Authors: Wang Xingji , Liu Bin , Ma Weilian , Feng Yuehai , Li Qiang , Sun Ting
Published: December 2024

This study focuses on the safe evacuation strategy and evacuation process in the subway train under the fires. The subway station evacuation mode should be adopted if the power system of a subway train is normal on fire. While, the tunnel evacuation mode should be adopted if the power system of the train fails because of the effects of fire. Under the tunnel evacuation mode, the direction of tunnel smoke should be opposite to that of most passengers, and passengers should be evacuated toward the fresh wind. By using the numerical simulation software Pathfinder and PyroSim, the passenger evacuation time under different conditions is calculated, and the safety of the evacuation process is evaluated. The results show that the evacuation time of the station evacuation mode is obviously shorter than that of the tunnel evacuation mode. With the same conditions, the evacuation time of the tunnel evacuation mode is 2193 s, which is about four times as much as the evacuation time of the station evacuation mode (526 s). The total evacuation time increases with the total number of passengers and the proportion of older people and children. Under an oil pool fire, which is an extreme fire condition, the fire environment inside the train may reach a level threatening the passengers’ safety before the evacuation is complete, even before the door opens; therefore, special attention should be paid to the safety issues in stage from the fire begins to the evacuation complete.
Groundwater in Arid and Semi-Arid Areas
Authors: Bouchaou Lhoussaine , El Alfy Mohamed , Shanafield Margaret , Siffeddine Abdelfettah , Sharp John
Published: December 2024

MDPI has published two issues on groundwater in arid and semi-arid areas in Geosciences [...]
Antipodal Seismic Observation and Sensitivity Kernel for the Liquid Region on the Earth’s Inner Core
Authors: Tsuboi Seiji , Butler Rhett
Published: December 2024

It is considered that a part of the inner core surface where iron in the fluid outer core is precipitated may have melted and formed a mushy region, but its position is not well understood seismologically. We recently analyzed seismic waveforms observed at the antipodal station of the seismic source and showed that there are precursors to the PKIIKP phase reflected beneath the inner core boundary. It has been found that this precursory wave can be modeled as a reflection under the liquid/solid interface at a depth of 100 km below the inner core boundary. Here, we use these precursor waves observed at the antipodal station (>179°). The sensitivity kernel of the amplitude of these precursor waves for the shear wave velocity structure on the inner core surface was calculated by the adjoint method, using theoretical seismic waveforms. Our results might be used to locate regions of the inner core surface where the shear wave velocity may be close to zero.
Transcriptomic Analysis Reveals the Opposite Regulatory Effects of WRKY and CAMTA Transcription Factors on Total Tannin Production in Quercus fabri Fruit
Authors: Cai Yuqing , Xiong Shifa , Wang Yangdong , Chen Yicun , Wu Liwen
Published: December 2024

Tannins are prevalent compounds found in plant fruits, contributing to the bitter taste often associated with these fruits and nuts, thereby influencing their overall taste quality. Numerous studies have been conducted to investigate the regulatory factors involved in tannin synthesis. Among these factors, transcription factors exhibit the most significant capacity to regulate tannin production as they can modulate the expression of several key enzyme genes within the tannin synthesis pathway. In this study, we focused on acorns from Quercus fabri, a species abundant in subtropical China. Utilizing transcriptome data from acorns with previously established significant differences in tannin content, we identified novel genes that are capable of regulating tannin synthesis. Specifically, we discovered one transcription factor from the WRKY family and one from the CAMTA family. Promoter response element analysis revealed that the downstream target genes regulated by these two transcription factors are highly similar, and all play crucial roles as enzyme genes in the tannin synthesis pathway. In addition, by detecting the expression levels of two transcription factor genes and target genes, we found that the two transcription factors regulate the target genes in exactly opposite ways. This study not only identifies new transcription factors involved in the regulation of tannin synthesis but also introduces a novel set of molecular biology techniques aimed at effectively modulating tannin content in plant fruits, thereby enhancing fruit quality.
Spatially Resolved Molecular Characterization of Noninvasive Follicular Thyroid Neoplasms with Papillary-like Nuclear Features (NIFTPs) Identifies a Distinct Proteomic Signature Associated with RAS-Mutant Lesions
Authors: Denti Vanna , Greco Angela , Alviano Antonio Maria , Capitoli Giulia , Monza Nicole , Smith Andrew , Pilla Daniela , Maggioni Alice , Ivanova Mariia , Venetis Konstantinos , Maffini Fausto , Garancini Mattia , Pincelli Angela Ida , Galimberti Stefania , Magni Fulvio , Fusco Nicola , L’Imperio Vincenzo , Pagni Fabio
Published: December 2024

Follicular-patterned thyroid neoplasms comprise a diverse group of lesions that pose significant challenges in terms of differential diagnosis based solely on morphologic and genetic features. Thus, the identification of easily testable biomarkers complementing microscopic and genetic analyses is a highly anticipated advancement that could improve diagnostic accuracy, particularly for noninvasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTPs). These tumors exhibit considerable morphological and molecular heterogeneity, which may complicate their distinction from structurally similar neoplasms, especially when genetic analyses reveal shared genomic alterations (e.g., RAS mutations). Here, we integrated next-generation sequencing (NGS) with matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) to perform a proteogenomic analysis on 85 NIFTPs (n = 30 RAS-mutant [RAS-mut] and n = 55 RAS-wild type [RAS-wt]), with the aim to detect putative biomarkers of RAS-mut lesions. Through this combined approach, we identified four proteins that were significantly underexpressed in RAS-mut as compared to RAS-wt NIFTPs. These proteins could serve as readily accessible markers in morphologically borderline cases showing RAS mutations. Additionally, our findings may provide insights into the distinct pathogenic pathways through which RAS-mut and RAS-wt NIFTPs arise, highlighting the pivotal role of constitutive RAS–mitogen-activated protein kinase (MAPK) pathway activation in the development and progression of RAS-mut tumors.
Potent Anti-Cancer Activity of 1-Dehydrodiosgenone from the Product of Microbial Transformation of Steroid Saponins
Authors: Li Quanshun , Feng Shirong , Zhang Yuanyuan , Mou Fangyuan , Guo Ting , Qin Baofu , Liu Yihan
Published: December 2024

Steroids are extensively used in the pharmaceutical industry as industrial raw materials for the production of anti-inflammatory and anti-tumor drugs. Microbial transformation, an environmentally friendly method, displays the potential for preparing steroids on an industrial scale. In this study, four steroids, including Diosgenin, Smilagenone, Yamogenin, and 1-Dehydrodiosgenone, were isolated and identified from the solid-state fermentation (SSF) product of a novel Fusarium oxysporum strain, and their anti-tumor activities were investigated. The cytotoxicity assay showed that 1-Dehydrodiosgenone had significant inhibitory effects on three tumor cell lines, Hala, A549, and Mad-MB468 cells, with IC50s of 6.59 μM, 5.43 μM, and 4.81 μM, respectively. 1-Dehydrodiosgenone significantly induced apoptosis and necrosis of Hala, A549, and Mad-MB468 cells by upregulating the expressions of cleaved caspase-3, cleaved PARP, Bax, and Bad. Moreover, no significant organ damage was observed in mice based on safety tests. Therefore, 1-Dehydrodiosgenone is expected to be developed as a safe and broad-spectrum anti-cancer agent.