bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhanced Swine Behavior Detection with YOLOs and a Mixed Efficient Layer Aggregation Network in Real Time
Authors: Lee Ji-hyeon , Choi Yo Han , Lee Han-sung , Park Hyun Ju , Hong Jun Seon , Lee Ji Hwan , Sa Soo Jin , Kim Yong Min , Kim Jo Eun , Jeong Yong Dae , Cho Hyun-chong
Published: November 2024

Effective livestock management has become essential owing to an aging workforce and the growth of large-scale farming operations in the agricultural industry. Conventional monitoring methods, primarily reliant on manual observation, are increasingly reaching their limits, necessitating the development of innovative automated solutions. This study developed a system, termed mixed-ELAN, for real-time sow and piglet behavior detection using an extended ELAN architecture with diverse kernel sizes. The standard convolution operations within the ELAN framework were replaced with MixConv using diverse kernel sizes to enhance feature learning capabilities. To ensure high reliability, a performance evaluation of all techniques was conducted using a k-fold cross-validation (k = 3). The proposed architecture was applied to YOLOv7 and YOLOv9, yielding improvements of 1.5% and 2%, with mean average precision scores of 0.805 and 0.796, respectively, compared with the original models. Both models demonstrated significant performance improvements in detecting behaviors critical for piglet growth and survival, such as crushing and lying down, highlighting the effectiveness of the proposed architecture. These advances highlight the potential of AI and computer vision in agriculture, as well as the system’s benefits for improving animal welfare and farm management efficiency. The proposed architecture enhances the real-time monitoring and understanding of livestock behavior, establishing improved benchmarks for smart farming technologies and enabling further innovation in livestock management.
Updating the Species Inventory of Large- and Medium-Sized Mammals in China Based on 2009–2020 Field Observation Records
Authors: Zhu Shuyi , Tian Jia , Yue Jianbing , Duan Fei , Li Sheng
Published: November 2024

Large- and medium-sized mammals (LMMs) are closely related to humans and perform critical functions in the ecosystem. China harbors one of the richest mammalian faunas in the world, whereas there is an urgent need among wildlife managers and researchers to update the inventory of China’s LMM species based on recent empirical information. In this study, we compiled the occurrence records of terrestrial LMMs in China during 2009–2020, mainly from camera-trapping surveys, through a comprehensive literature search and systematical data collection. With a total of 42,937 occurrence records (12,397 after removing duplicates) from 5461 sites, we recorded 134 LMM species belonging to 8 orders and 23 families. Compared to the national species list, seven species are missing from field observation records, including four of Carnivora, two of Primates, and one of Lagomorpha. Yunnan is the province with the highest richness of recorded LMMs (n = 69), and Xizang is the only province where all seven large apex predators have been recorded. This study systematically updates the species inventory of LMMs in China based on observation records and will provide an important baseline to support and guide future studies, monitoring, and conservation management of this important functional group in China.
Long-Term Variations in Habitat Use of Humpback Dolphins Due to Anthropogenic Activities in Western Pearl River Estuary
Authors: Wang Xinxing , Li Min , Fang Liang , Chen Tao , Liu Wenhua
Published: November 2024

Marine mammals near coastlines are highly vulnerable to human activities like rapid industrialisation, port construction, and sea reclamation, which can alter their habitat use. This study examines changes in the habitat use of Indo-Pacific humpback dolphins in the western Pearl River Estuary (WPRE) by employing a kernel density estimation model that considers physical barriers. Sighting records from systematic surveys in 2007–2008 and 2019–2020, along with remote sensing data, were used to analyse changes in shorelines and areas affected by maritime projects since 1973. Approximately 552.98 km2 of water was permanently lost to reclamation between 1973 and 2020. In 2007–2008, dolphins preferred natural shorelines, while reclamation drove them away from artificial ones. By 2019–2020, their core habitat had decreased by two-thirds, with some areas disappearing, likely due to aquaculture expansion. These results highlight the importance of adopting improved environmental assessment methodologies in the planning and regulation of aquaculture activities in the WPRE to better protect the dolphin habitat.
Characterizing Methicillin-Resistant Staphylococcus spp. and Extended-Spectrum Cephalosporin-Resistant Escherichia coli in Cattle
Authors: Abdank Lisa , Loncaric Igor , Braun Sascha D. , Müller Elke , Monecke Stefan , Ehricht Ralf , Krametter-Frötscher Reinhild
Published: November 2024

In the field of cattle medicine in Austria, to date, few studies have investigated the presence of methicillin-resistant Staphylococcus aureus and extended-spectrum β-lactamase-producing Escherichia coli in Austria. For this reason, milk and nasal samples were examined for the presence of methicillin-resistant Staphylococcus aureus as well as fecal samples for extended-spectrum cephalosporin-resistant Escherichia coli. The nasal and fecal swabs were collected during the veterinary treatment of calf pneumonia and calf diarrhea. For the milk samples, the first milk jets were milked into a pre-milking cup and then the teats were cleaned and disinfected before the samples were taken. The cows were selected during the veterinary visits to the farms when treatment was necessary due to mastitis. Depending on the severity of the mastitis (acute mastitis or subclinical mastitis), antibiotics and non-steroidal anti-inflammatory drugs were given immediately (acute disease) or after completion of the antibiogram (subclinical disease). Isolates were characterized by a polyphasic approach including susceptibility pheno- and genotyping and microarray-based assays. No methicillin-resistant Staphylococcus aureus was found in the milk samples, but one nasal swab was positive for methicillin-resistant Staphylococcus aureus. Twenty-two Escherichia coli isolates were detected among the fecal samples. All the Escherichia coli isolates were resistant to ceftazidime. In all the Escherichia coli isolates, genes from the blaCTX family were detected with other bla genes or alone; the most frequently observed β-lactamase gene was blaCTX-M-1/15 (n = 20). In total, 63.6% (n = 14) of the isolates exhibited a multidrug-resistant phenotype and one E. coli isolate (4.5%) harbored the AmpC gene. Precisely because the presence of data regarding extended-spectrum cephalosporin-resistant Escherichia coli and methicillin-resistant Staphylococcus aureus in calves and cows in Austria is rare, this study further expands our understanding of antimicrobial resistance in Austrian cattle, which is highly relevant for successful antibiotic therapy in sick cattle.
Effects of Fermented Soybean Hulls on Reproductive Performance, Blood Physiology and Immune Parameters Along with Fecal Microbiota in Sows
Authors: Shang Xiuguo , Cui Yingjie , Shang Chaoyue , Gao Kaiguo , Chen Yujuan , Quan Yaodong
Published: November 2024

This study aims to investigate the effects of fermented soybean hulls (FSHS) on reproductive performance, plasma biochemical profiles, immune parameters, and fecal microbiota in sows. A total of 325 sows were randomized into five groups, each fed a diet with varying FSHS proportions: 0% (control), 2% (FSHS2), 4% (FSHS4), 6% (FSHS6), and 8% (FSHS8). Diets were prepared by replacing conventional soybean hulls with FSHS in equal amounts. The study lasted from day 30 to day 110 of gestation. The results indicated the following: (1) Reproductive Performance: The number of live piglets per litter, newborn litter weight, and individual piglet weight increased linearly with the increase in FSHS addition in the diet (PLinear < 0.05). A trend toward reduced farrowing duration was observed when FSHS was added to the diet (PLinear = 0.076). FSHS improved newborn weight and weight variation compared to the control when FSHS was added to the diet (PAnova < 0.05). Replacing soybean hulls with FSHS also increased fecal scores, enhancing fecal consistency and alleviating constipation (p < 0.01). (2) Plasma Biochemical Indicators: Plasma urea concentration on day 60 decreased linearly with increasing FSHS (PLinear < 0.05). Plasma total protein and aspartate aminotransferase (AST) activities showed quadratic effects (PQuadratic < 0.05) on day 60 and 90 of gestation, while alkaline phosphatase activity on day 90 showed a quadratic trend (PQuadratic = 0.082). (3) Hormone Levels: Plasma insulin and adrenaline levels exhibited quadratic effects on day 60 and 90 of gestation, respectively (PQuadratic < 0.05). (4) Immune Parameters: Plasma immunoglobulin G (IgG) and M (IgM) levels increased linearly with FSHS proportion on day 60 (PLinear < 0.05), but no significant changes were observed on day 90 (p > 0.05). (5) Fecal Microbiota: On day 90, the abundance of actinobacteriota increased quadratically with FSHS levels (PQuadratic < 0.05), while bacteroidota decreased linearly (PLinear < 0.05). During parturition, actinobacteriota abundance continued to increase linearly (PLinear < 0.05). Notably, the FSHS8 group had higher actinobacteriota abundance compared to the control group (p = 0.05). At the genus level, terrisporobacter showed a quadratic increase and then decrease (PQuadratic < 0.05), while ruminococcus showed a quadratic decrease and then increased (PQuadratic < 0.05). Both terrisporobacter in the FSHS2 and FSHS6 groups and ruminococcus in the FSHS8 group were more abundant compared to the control (p < 0.01). Conclusions: Dietary supplementation with FSHS increased fecal microbial diversity, alleviated the incidence of constipation, and ultimately improved sow reproductive performance. The recommended optimal addition of FSHS to the sow diet is 6%.
The Effects of Different Treatments on Serum Trace Element Levels in Dogs with Heart Failure
Authors: Bilgiç Bengü , Tarhan Duygu , Or Mehmet Erman
Published: November 2024

The prognostic and diagnostic role of some trace elements in heart diseases has been demonstrated. In this study, the effects of min. 30-day and min. 120-day treatment with pimobendan, enalapril, and furosemide, as monotherapy and in combination, on serum trace element levels in dogs with heart failure were evaluated. A total of 107 dogs were treated with pimobendan or enalapril as monotherapy and pimobendan + enalapril (PE), enalapril + furosemide (EF), or pimobendan + enalapril + furosemide (PEF) as combination therapy for a min. of 30 and 120 days. Serum copper (Cu), zinc (Zn), iron (Fe), cobalt (Co), magnesium (Mg), manganese (Mn), selenium (Se), and chromium (Cr) were measured by an inductive coupled plasma optical emission spectroscopy device. Mean serum Mg in dogs treated with pimobendan for a min. of 120 days was significantly lower than that for a min. of 30 days (p < 0.05). In dogs using the PEF combination, mean serum Fe was significantly higher in the min. 120-day treatment group than in the min. 30-day treatment group (p < 0.01). No significant difference was observed in mean serum Cu, Zn, Co, Mn, Se, or Cr between the treatment groups and the time periods (p > 0.05). The short- and long-term use of pimobendan, enalapril, furosemide, and their combinations may cause changes in mean serum Mg and Fe in dogs with heart failure.
Antimicrobial Resistance Surveillance in Post-Soviet Countries: A Systematic Review
Authors: Zhazykhbayeva Dariga , Bayesheva Dinagul , Kosherova Zhanar , Semenova Yuliya
Published: November 2024

Background: Antimicrobial resistance (AMR) is a global health threat. AMR surveillance is crucial for understanding and controlling the spread of AMR. Surveillance systems can inform clinicians, guide health policymakers, and support effective AMR interventions. AMR surveillance data from former Soviet region countries are often limited, resulting in gaps in up-to-date knowledge. Methods: This systematic review was registered under the PROSPERO protocol CRD42024537799 and followed the PRISMA guidelines. Data from five databases (PubMed, MEDLINE, Embase, CINAHL, and CyberLeninka) and official sources were searched according to the inclusion criteria. Results: In total, 30 publications describing AMR surveillance and National Action Plans (NAPs) were included. Among the 15 countries, 14 (93.3%) have either developed a NAP or are in the process of implementing one; and 7 (46.7%) countries have a standardized AMR surveillance system. Almost all countries have reference laboratory centers, but nine (60%) countries have established standard testing methods in all sites. Only three (20%) countries have fully implemented quality assessment. There is an increasing tendency to involve and report AMR data to international networks, and countries will strengthen their AMR systems by adhering to international standards. The subgroup analysis revealed that Central and Western Asian countries are less developed in terms of AMR surveillance, which may encourage proactive engagement in AMR governance in these regions. Conclusions: This review is crucial for understanding the current efforts and improving AMR surveillance in former Soviet countries. The findings are promising and indicate that AMR surveillance is established in all reviewed countries, although at different levels.
Novel Pyrroloquinoline Quinone-Modified Cerium Oxide Nanoparticles and Their Selective Cytotoxicity Under X-Ray Irradiation
Authors: Zamyatina Elizaveta A. , Goryacheva Olga A. , Popov Anton L. , Popova Nelli R.
Published: November 2024

Ionizing radiation leads to the development of oxidative stress and damage to biologically important macromolecules (DNA, mitochondria, etc.), which in turn lead to cell death. In the case of radiotherapy, both cancer cells and normal cells are damaged. In this regard, the development of new selective antioxidants is relevant. In this study, we first investigated the redox activity of cerium oxide-pyrroloquinoline quinone nanoparticles (CeO2@PQQ NPs) and their cytotoxic effects on normal (mouse fibroblasts, L929) and cancer (mouse adenocarcinoma, EMT6/P) cell cultures. Furthermore, the biological activity of CeO2@PQQ NPs was evaluated in comparison with that of CeO2 NPs and PQQ. The nanoparticles demonstrated pH-dependent reductions in the content of hydrogen peroxide after X-ray exposure. Our findings indicate that viability of EMT6/P cells was more adversely affected by CeO2@PQQ NPs at lower concentrations (0.1 μM) compared to L929. Following X-ray irradiation at a dose of 5 Gy, significant changes in mitochondrial potential (by 29%) and decreased glutathione levels (by 32%) were also observed in EMT6/P culture following irradiation and incubation with CeO2@PQQ NPs. Furthermore, EMT6/P exhibited a 2.5-fold increase in micronuclei and a 2-fold reduction in survival fraction compared to L929. It is hypothesized that CeO2@PQQ NPs may exhibit selective cytotoxicity and radiosensitizing properties against EMT6/P cancer cells. The findings suggest that CeO2@PQQ NPs may have potential as a selective redox-active antioxidant/pro-oxidant in response to X-ray radiation.
Development and Application of a Rope Core Hydraulic Closed-Core Mechanism for Loose and Broken Strata
Authors: Wang Wenjie , Wang Sheng , Li Bingle , Xiang Jie
Published: November 2024

When employing the wire-line core drilling technology in loose strata, the core recovery rate is often low due to fragmented rock masses and the erosive effect of flushing fluids, severely affecting core quality and drilling efficiency. To address this, the paper designs a hydraulic closed-core cutting mechanism and water-sealed protective core bit compatible with traditional S75 wire-line core drilling tools. Comprehensive analysis and optimization of the design mechanism’s force, flow field patterns, and operational mechanisms have been conducted through numerical simulations, laboratory tests, and field applications. Studies indicate (1) the hydraulic cutting mechanism can smoothly close under flushing fluid action, with stress and strain within safe limits and the sealing area of the core barrel exceeding 75%; (2) post-optimization, the vortex flow within the flushing fluid flow control valve is significantly reduced, with the flow rate at the core after passing through the water-sealed protective core bit being less than 0.6 m/s, effectively protecting the core from being eroded by flushing fluids; (3) the hydraulic cutting mechanism has proven feasible through laboratory testing, with a recommended standard core claw with a 95% protective rate. In actual loose strata, the average core recovery rate reached 97.83%, an 88.13% increase compared to traditional drilling tools, demonstrating high engineering promotion value.
VIS/NIR Spectroscopy as a Non-Destructive Method for Evaluation of Quality Parameters of Three Bell Pepper Varieties Based on Soft Computing Methods
Authors: Latifi Amoghin Meysam , Abbaspour-Gilandeh Yousef , Tahmasebi Mohammad , Kaveh Mohammad , El-Mesery Hany S. , Szymanek Mariusz , Sprawka Maciej
Published: November 2024

Spectroscopic analysis was employed to evaluate the quality of three bell pepper varieties within the 350–1150 nm wavelength range. Quality parameters such as firmness, pH, soluble solids content, titratable acids, vitamin C, total phenols, and anthocyanins were measured. To enhance data reliability, principal component analysis (PCA) was used to identify and remove outliers. Raw spectral data were initially modeled using partial least squares regression (PLSR). To optimize wavelength selection, support vector machines (SVMs) were combined with genetic algorithms (GAs), particle swarm optimization (PSO), ant colony optimization (ACO), and imperial competitive algorithm (ICA). The most effective wavelength selection method was subsequently used for further analysis. Three modeling techniques—PLSR, multiple linear regression (MLR), and artificial neural networks (ANNs)—were applied to the selected wavelengths. PLSR analysis of raw data yielded a maximum R2 value of 0.98 for red pepper pH, while the lowest R2 (0.58) was observed for total phenols in yellow peppers. SVM-PSO was determined to be the optimal wavelength selection algorithm based on ratio of performance to deviation (RPD), root mean square error (RMSE), and correlation values. An average of 15 effective wavelengths were identified using this combined approach. Model performance was evaluated using root mean square error of cross-validation and coefficient of determination (R2). ANN consistently outperformed MLR and PLSR in predicting firmness, pH, soluble solids content, titratable acids, vitamin C, total phenols, and anthocyanins for all three varieties. R2 values for the ANN model ranged from 0.94 to 1.00, demonstrating its superior predictive capability. Based on these results, ANN is recommended as the most suitable method for evaluating the quality parameters of bell peppers using spectroscopic data.
DIKWP-TRIZ: A Revolution on Traditional TRIZ Towards Invention for Artificial Consciousness
Authors: Wu Kunguang , Duan Yucong
Published: November 2024

We propose the DIKWP-TRIZ framework, an innovative extension of the traditional Theory of Inventive Problem Solving (TRIZ) designed to address the complexities of cognitive processes and artificial consciousness. By integrating the elements of Data, Information, Knowledge, Wisdom, and Purpose (DIKWP) into the TRIZ methodology, the proposed framework emphasizes a value-oriented approach to innovation, enhancing the ability to tackle problems characterized by incompleteness, inconsistency, and imprecision. Through a systematic mapping of TRIZ principles to DIKWP transformations, we identify potential overlaps and redundancies, providing a refined set of guidelines that optimize the application of TRIZ principles in complex scenarios. The study further demonstrates the framework’s capacity to support advanced decision making and cognitive processes, paving the way for the development of AI systems capable of sophisticated, human-like reasoning. Future research will focus on comparing the implementation paths of DIKWP-TRIZ and traditional TRIZ, analyzing the complexities inherent in DIKWP-TRIZ-based innovation, and exploring its potential in constructing artificial consciousness systems.
Electrochemical Corrosion Resistance of Al2O3–YSZ Coatings on Steel Substrates
Authors: Cimpoeșu Ramona , Luțcanu Marian , Cazac Alin Marian , Adomniței Ionuț , Bejinariu Costică , Andrușcă Liviu , Prelipceanu Marius , Cioca Lucian-Ionel , Chicet Daniela Lucia , Radu Ancuța Mirela , Cimpoeșu Nicanor
Published: November 2024

Ceramic materials as coatings are known to have very good corrosion resistance properties compared to metallic or organic coatings, regardless of environmental conditions. The following samples were used for the experiments: an initial steel substrate and Al2O3 + YSZ (12.5%; 25% and 37.5% wt) atmospheric plasma spray-coated samples. The open circuit potential showed similar average values for all samples coated with ceramic layers, which were slightly higher than the potential of the original uncoated sample. The corrosion current densities (icorr) of all plasma jet sputter-coated systems were very similar and significantly lower than those of the original material. Corrosion rates were much lower in the coated systems due to the chemical inertness of the ceramic coatings, particularly alumina- and zirconia-based coatings. It was observed that ceramic layers improve the corrosion resistance of the metallic material, especially at higher percentages of YSZ in the plasma spray-deposited complex layer. The porosity of the sputter-deposited layers reduced their corrosion resistance due to the contact between the electrolyte solution and the metal substrate created by the interconnection of the pores. The complex equivalent electrical circuit chosen for the analysis of the values led to results in accordance with the experimental parameters.
Comparison of X-Ray Absorption in Mandibular Tissues and Tissue-Equivalent Polymeric Materials Using PHITS Monte Carlo Simulations
Authors: Gokcekuyu Yasemin , Ekinci Fatih , Buyuksungur Arda , Guzel Mehmet Serdar , Acici Koray , Asuroglu Tunc
Published: November 2024

This study investigates the absorption of X-rays in mandibular tissues by comparing real tissues with tissue-equivalent materials using the PHITS Monte Carlo simulation program. The simulation was conducted over a range of X-ray photon energies from 50 to 100 keV, with increments of 5 keV, to evaluate the dose absorbed by different tissues. Real tissues, such as the skin, parotid gland, and masseter muscle, were compared with their tissue-equivalent polymeric materials, including PMMA, Parylene N, and Teflon. The results showed that the real tissues generally absorbed more X-rays than their corresponding equivalents, especially at lower energy levels. For instance, at 50 keV, differences in the absorbed doses reached up to 50% for the masseter muscle and its equivalent, while this gap narrowed at higher energies. The study highlights the limitations of current tissue-equivalent materials in accurately simulating real tissue behavior, particularly in low-energy X-ray applications. These discrepancies suggest that utilizing tissue-equivalent materials may lead to less accurate medical imaging and radiotherapy dose calculations. Future research should focus on improving tissue-equivalent materials and validating simulation results with experimental data to ensure more reliable dosimetric outcomes. This study provides a foundation for refining radiation dose calculations and improving patient safety in clinical applications involving X-rays.
Correlation Between the Morphological Profile of Patients and Temporomandibular Disorders: Analysis of Data Derived from Low-Dose C.B.C.T.
Authors: Macrì Monica , Festa Mario , Pisanelli Elena Lucia , Festa Felice
Published: November 2024

Background: Temporomandibular disorders (TMDs) represent a range of clinical issues affecting the temporomandibular joint (TMJ), the chewing muscles, and surrounding structures. This study aimed to identify the morphological profiles and skeletal malocclusions that most significantly influence the development of TMDs. Materials and Methods: The analysis was performed using cephalometric data from patients undergoing low-dose cone-beam computed tomography (CBCT) at the Orthodontics Department of Gabriele D’Annunzio University. The Results and Conclusions showed significant differences in cephalometric parameters and condylar positions between male and female patients with TMDs, emphasizing the need for individualized diagnostic and therapeutic approaches. Further research is needed to assess the implications of these variations for TMD management.
Cationic Lipid Derived from a Basic Amino Acid: Design and Synthesis
Authors: Bravo-Estupiñan Diana M. , Montaño-Samaniego Mariela , Mora-Rodríguez Rodrigo A. , Ibáñez-Hernández Miguel
Published: November 2024

One of the major challenges in gene therapy is the efficient and safe introduction of nucleic acids into eukaryotic cells. This process requires overcoming various biological barriers and navigating complex pathways to reach target cells and achieve their biological function. To address this obstacle, numerous transfection methods have been developed, including physical techniques and the use of genetic vectors, both viral and non-viral. However, to date, no transfection method is 100% safe and efficient. Within the spectrum of non-viral genetic vectors, cationic liposomes formed by cationic lipids stand out for their ability to protect and deliver therapeutic NA. These liposomes offer greater biocompatibility and lower immunogenicity compared to viral vectors, although they still do not match the efficiency of viral delivery systems. Consequently, ongoing research focuses on synthesizing a wide variety of cationic lipids in the search for compounds that provide high transfection efficiency with minimal cytotoxicity. This study aimed to design and synthesize a novel cationic lipid (CholCadLys) derived from natural cellular molecules for transferring genetic material to eukaryotic cells. The lipid was synthesized using cholesteryl chloroformate for the hydrophobic region, cadaverine as a linker, and lysine for the polar region, connected by carbamate and amide bonds, respectively. Identification was confirmed through thin-layer chromatography, purification through preparative chromatography, and characterization via infrared spectroscopy and mass spectrometry. The synthesis yielded a 60% success rate, with stable nanoliposomes averaging 76 nm in diameter. Liposomes were formed using this CL and commercial neutral lipids, characterized by transmission electron microscopy and Nanoparticle Tracking Analysis. These liposomes, combined with plasmid DNA, formed lipoplexes used to transfect Hek-293 FT cells, achieving up to 40% transfection efficiency without cytotoxicity in the mixture of CholCadLys and CholCad. This novel CL demonstrates potential as an efficient, safe, and cost-effective gene transfer system, facilitating further development in gene therapy.
Net Primary Production Simulation and Influencing Factors Analysis of Forest Ecosystem Based on a Process-Based Model
Authors: Yang Zhu , Huang Xuanrui , Qing Yunxian , Li Hongqian , Hong Libin , Lu Wei
Published: November 2024

Accurate assessment of net primary production (NPP) can truly reflect the carbon budget balance of the forest ecosystem. In this study, the boreal ecosystem productivity simulation (BEPS) model was used to simulate the NPP of Saihanba mechanized forest farm in 2020, and the influencing factors of NPP were analyzed. The meteorological, forest cover, leaf area index (LAI) and other data required for the model, as well as the data for verifying, were from field surveys or downloaded from different sources. The results showed that: (1) Within the scale of the flux tower, the diurnal variation of NPP reached a maximum in June. The monthly average peak value of latent heat flux was in June, and the sensible heat flux was in March. The temperature of the understory canopy was mostly higher than that of the overstory canopy and air temperature. (2) At the regional scale, the total NPP in the study area in 2020 was 4.25 × 1011 g C a−1, with an average of 564.71 g C m−2 a−1. The annual average NPP of silver birch (Betula platyphylla) was the largest, and the total NPP of northern Chinese larch (Larix principis-ruprechtii) was the largest. (3) NPP was highly sensitive to LAI. Topographic factors had effects on NPP. The average value of NPP was relatively high in the shady slope and the gentle slope.
Proposal for an Intelligent Methodology to Manage Energy in Buildings and Detect Anomalies as a Compass Towards Zero Energy Buildings (ZEB)
Authors: Prol-Godoy Irati , Santana Roberto , Rey-Martinez Francisco-Javier , Picallo-Perez Ana
Published: November 2024

This work aims to advance the optimisation of the efficiency of thermal installations in buildings, contributing to the achievement of Zero Energy Buildings (ZEB) in the context of maintenance and operation. This is achieved through an innovative proposal that merges machine learning techniques with thermoeconomics to perform diagnoses in building thermal systems and identify cost overruns generated by intrinsic anomalies in the components and quantify their induced effects on the rest of the components. To date, the few contributions combining these techniques have been limited to industrial applications and cost calculation, without addressing their application to building thermal systems, both from a dynamic perspective and for maintenance purposes. Research using Physics-Informed Neural Networks, PINNs, in this area is even scarcer, which underlines the complexity of defining a suitable methodology. Thus, the proposal integrates PINNs with a thermoeconomic diagnosis based on characteristic curves, allowing the comparison of the current operating condition with an anomaly-free reference condition to assess the existence of anomalies and their effects. For this reason, reference models are generated for the first time with PINNs, which represents a break with the conventional maintenance approaches used by professionals in the sector. Therefore, this methodology incorporates techniques that require specialised knowledge in thermodynamic and informatics areas, which motivates the present work to be focused on the exhaustive description of the methodology and to highlight the importance of continuing to explore lines of research in this unexplored field.
Research Status and Prospect of the Key Technologies for Environment Perception of Intelligent Excavators
Authors: Cui Yunhao , Du Yingke , Han Jianhai , An Yi
Published: November 2024

With the urgent need of the industry and the continuous development of artificial intelligence, research into intelligent excavators has achieved certain progress. However, intelligent excavators often face strong vibrations, dense dust, and complex objectives. These have brought severe challenges to environmental perception, and are important research difficulties that must be overcome in realizing the practical engineering applications of intelligent excavators. Many researchers have studied these problems in reducing vibration and dust noise for light detection and ranging (LiDAR) scanners, multi-sensor information fusion, and the segmentation and recognition of 3D scenes. This paper reviews the research status of these key technologies and discusses their development trends.
Transfer Reconstruction from High-Frequency to Low-Frequency Bridge Responses Under Vehicular Loading with a ResNet
Authors: Lu Xuzhao , Wei Chenxi , Sun Limin , Xia Ye , Zhang Wei
Published: November 2024

The reconstruction of bridge responses has been a significant area of focus within the field of structural health monitoring. This process entails the cross-reconstruction of responses from various cross-sections to identify any anomalies at specific locations, which may indicate the presence of structural defects. Traditional research has concentrated on simulating the relationships between different cross-sections for both high- and low-frequency components in isolation. However, this study introduces an innovative approach using a residual network (ResNet) to reconstruct high-frequency bridge responses under vehicular loading and demonstrates its applicability to low-frequency response reconstruction as well. The theoretical basis of this method is established through an analysis of the dynamics within a simplified vehicle-bridge-interaction (VBI) system. This analysis reveals that the transfer matrices for both high- and low-frequency components remain consistent across various loading conditions. Then, a data interception technique is introduced to separate high-frequency, low-frequency, and temperature-related components based on their spectral characteristics. The ResNet modeled the inter-sectional relationships of the high-frequency components and was then used to reconstruct the low-frequency responses under vehicular loading. The methodology was validated using a series of finite element models, confirming the uniformity of the transfer matrix between high- and low-frequency vibration components of the bridge. Field testing was also conducted to evaluate the practical effectiveness of the method. The proposed transfer–reconstruction method is expected to significantly reduce training dataset requirements compared with existing methods, thereby enhancing the efficiency of structural health monitoring systems.
Resilience Measurement and Enhancement of Subway Station Flood Disasters Based on Uncertainty Theory
Authors: Liu Jingyan , Zhang Shuo , Zheng Wenwen , Hu Xinyue
Published: November 2024

To address the uncertainty of influencing factors in measuring the resilience of subway stations to flood disasters, this study introduces Unascertained Measurement Theory to assess the resilience of subway stations against flood disasters. Initially, the research involves a thorough examination and analysis of past subway flood disaster incidents, which elucidates the disaster system and its resilience processes, thereby facilitating the construction of a resilience analysis framework specific to subway stations. Subsequently, a measurement index system is developed to evaluate the resilience of subway stations against flood disasters, drawing upon relevant literature, and resilience levels are categorized according to established standards. Following this, an unascertained measurement model is formulated to assess the resilience of subway stations in the face of flood disasters. This model incorporates the development of an unascertained measurement function and an unascertained measurement matrix, yielding comprehensive results that inform the determination of resilience levels through credible degree assessment. Furthermore, the SPSSAU obstacle degree model is utilized to analyze the resistance factors that influence the resilience of subway stations to flood disasters, leading to the formulation of strategies aimed at enhancing this resilience. This approach offers novel insights into the measurement of subway station resilience in the context of flood disasters.
Enhancing Mycotoxin Detection in Table Olives: The Role of Enzyme-Linked Immunosorbent Assay and Method Optimization
Authors: Cammerata Alessandro , Del Frate Viviana , Monforte Tiziana , Scarfone Antonio , Romano Elio
Published: November 2024

The issue of mycotoxin contamination in food is particularly important for consumer safety. The consumption of these fungi can cause genetic mutations or lead to the formation of cancer cells. For years, foods have been studied for this problem, but for table olives, there is currently a significant lack of scientific literature. This study aimed to point out the possible application of the Enzyme-Linked Immunosorbent Assay (ELISA) method for the detection of mycotoxins in table olives, assessing the presence of aflatoxins and ochratoxin A. Different tests were carried out on commercial and inoculated olives to assess the efficacy of the method by comparison with the conventional one, based on Liquid Chromatography–Tandem Mass Spectrometry (LC–MS/MS). Initial unsatisfactory results led us to refine the extraction method via the substitution of the chemical extractant 70% methanol with dichloromethane; this procedure allowed for improving the recovery of inoculated mycotoxins. The results show the effectiveness of the ELISA test, especially in mycotoxin recovery, after the modification of the extraction method. The recoveries increased for aflatoxins from 55% to over 70% and for ochratoxin A from 40% to over 55%. When samples were analyzed with commercial kits, the results showed some false positives, especially for the first sample of ochratoxin A, but the reliability of the ELISA method test was largely verified in the rest of the samples. The validity, the reduced cost, and the speed of application of the ELISA test make this method suitable as a control program for mycotoxin detection in table olives, which can be supported by LC-MS/MS analysis in case of positive results.
Kohonen Mapping of the Space of Vibration Parameters of an Intact and Damaged Wheel Rim Structure
Authors: Rychlik Arkadiusz , Vrublevskyi Oleksandr , Skonieczna Daria
Published: November 2024

The research presented in this paper takes another step towards developing methods for automatic condition verification to detect structural damage to vehicle wheel rims. This study presents the utilisation of vibration spectra via Fast Fourier Transform (FFT) and a neural network’s learning capabilities for evaluating structural damage. Amplitude and time cycles of acceleration were analyzed as the structural response. These cycles underwent FFT analysis, leading to the identification of four diagnostic symptoms described by 20 features of the diagnostic signal, which in turn defined a condition vector. In the subsequent stage, the amplitude and frequency cycles served as input data for the neural network, and based on them, self-organizing maps (SOM) were generated. From these maps, a condition vector was defined for each of the four positions of the rim. Therefore, the technical condition of the wheel rim was determined based on the variance in condition parameter features, using reference frequencies of vibration spectra and SOM visualisations. The outcome of this work is a unique synergetic diagnostic system with innovative features, identifying the condition of a wheel rim through vibration and acoustic analysis along with neural network techniques in the form of Kohonen maps.
A New Concept of Reconfigurable Antenna Structure Based on an Array of RF-MEMS Switches
Authors: Donelli Massimo , Iannacci Jacopo , Manekiya Mohammedhusen
Published: November 2024

A geometrical reconfigurable structure based on RF Micro-electro-mechanical switches (RF-MEMS) is proposed in this work. The structure is composed of an array of gold metallic patches interconnected together utilizing RF-MEMS switches in order to change its geometry and, consequently, the scattering parameters. In particular, the reconfigurability is achieved by activating multiple RF-MEMS switches, which enables the change in electrical length and, consequently, the resonance frequency of the structure. As a proof of concept, an experimental antenna prototype composed of an array of 7×7 elements interconnected by a set of RF-MEMS switches has been designed, fabricated numerically, and experimentally assessed. The structure can be set as an antenna or as other basic radio frequency components. The obtained experimental results are in good agreement with the simulations, with an error of less than 5% for the considered radiating structures. The quite promising results demonstrate the potential and flexibility of the proposed structure.
Finite Element Analysis of the Structural Behavior of a Corroded Pipe Culvert
Authors: Ma Qiang , Xi Chuchen , Li Jianyu , Lu Xuesong
Published: November 2024

The stress analysis of buried pipe culverts is a complex task, and accurately characterizing the deterioration of mechanical properties caused by corrosion poses significant challenges. In this study, the finite element analysis software PLAXIS 3D was employed to construct a numerical simulation model of a pipe culvert. By varying the stiffness and thickness of either the entire structure or specific sections, different degrees of corrosion were simulated to investigate the influence of various cross-sectional shapes on corrosion effects. Multiple experimental controls were set to analyze both the bearing capacity and deformation characteristics under different conditions. The findings reveal that different levels of corrosion have distinct impacts on the deformation behavior of pipe culverts. Overall corrosion has the most significant effect on the overall deformation, while crown and middle corrosion show a similar effect on stiffness-related deformations. In contrast, invert corrosion has minimal impact on the stiffness-related deformation. Corrosion affects circular and elliptical pipe culverts similarly. However, the circular pipe culvert is evidently influenced by overall corrosion more significantly than the elliptical ones due to the combined effects from overall and local corrosion in their deformations. Through finite element numerical simulation, it can be used as a reference for practical engineering design and construction.
REASSURED Test System for Food Control—Preparation of LAMP Reaction Mixtures for In-Field Identification of Plant and Animal Species
Authors: Holz Nathalie , Wax Nils , Oest Marie , Fischer Markus
Published: November 2024

The potential of loop-mediated isothermal amplification (LAMP) assays for species identification in medical diagnostics, food safety, and authentication is indisputable. The challenge in commercialization of such DNA-based rapid test methods for resource-limited settings is the on-site availability of the required reagents and an intuitive read-out system. In this work, reaction mixtures for LAMP assays for the detection of animal (plaice) and plant food (safflower) were lyophilized and stored at room temperature for up to 24 weeks, demonstrating that refrigeration of reagents after lyophilization is not absolutely necessary. During this period, reaction mixtures were stable and the polymerase showed no loss of activity. In addition, mobile testing, including DNA isolation, using the lyophilized LAMP reaction mixtures and a handheld fluorescence detection read-out system (Doctor Vida Pocket test) was successfully performed outside of the laboratory environment in less than 40 min using a proposed standard operation procedure. The results highlight that the use of the lyophilized LAMP reaction for food control purposes has the potential to meet the WHO-proposed REASSURED criteria.
A Bibliometric Analysis of Convection-Permitting Model Research
Authors: Lyu Xiaozan , Ruan Tianqi , Cai Xiaojing
Published: November 2024

Convection-permitting models (CPMs) are receiving growing scientific interest for their capability to accurately simulate extreme weather events at a kilometer-scale spatial resolution, offering valuable information for local climate change adaptation. This study employs both qualitative and quantitative bibliometric analysis techniques to examine research trends in CPM, utilizing data from 3508 articles published between 2000 and 2023. The annual number of publications exhibits a linear increase, rising from fewer than 50 in 2000 to over 250 after 2020, with the majority of research originating from the US, China, the UK, and Germany. The most productive institutes include the National Oceanic Atmospheric Administration (NOAA) and the National Center for Atmospheric Research (NCAR) in the US, each contributing over 10% of total publications. Title and abstract terms in publications related to keywords such as “scenario”, “climate simulation”, etc., dominate publications from 2018 to 2023, coinciding with advances in computing power. Notably, terms associated with CPM physical processes received the highest citations from 2000 to 2023, underscoring the importance of such these research topics. Given the computational expense of running CPMs and the increasing demand for future predictions using CPMs, novel methods for generating long-term simulations are imperative.
Data Flow-Based Strategies to Improve the Interpretation and Understanding of Machine Learning Models
Authors: Brimacombe Michael
Published: November 2024

Data flow-based strategies that seek to improve the understanding of A.I.-based results are examined here by carefully curating and monitoring the flow of data into, for example, artificial neural networks and random forest supervised models. While these models possess structures and related fitting procedures that are highly complex, careful restriction of the data being utilized by these models can provide insight into how they interpret data structures and associated variables sets and how they are affected by differing levels of variation in the data. The goal is improving our understanding of A.I.-based supervised modeling-based results and their stability across different data sources. Some guidelines are suggested for such first-stage adjustments and related data issues.
Unveiling the Tumor Microenvironment Through Fibroblast Activation Protein Targeting in Diagnostic Nuclear Medicine: A Didactic Review on Biological Rationales and Key Imaging Agents
Authors: Fouillet Juliette , Torchio Jade , Rubira Léa , Fersing Cyril
Published: November 2024

The tumor microenvironment (TME) is a dynamic and complex medium that plays a central role in cancer progression, metastasis, and treatment resistance. Among the key elements of the TME, cancer-associated fibroblasts (CAFs) are particularly important for their ability to remodel the extracellular matrix, promote angiogenesis, and suppress anti-tumor immune responses. Fibroblast activation protein (FAP), predominantly expressed by CAFs, has emerged as a promising target in both cancer diagnostics and therapeutics. In nuclear medicine, targeting FAP offers new opportunities for non-invasive imaging using radiolabeled fibroblast activation protein inhibitors (FAPIs). These FAP-specific radiotracers have demonstrated excellent tumor detection properties compared to traditional radiopharmaceuticals such as [18F]FDG, especially in cancers with low metabolic activity, like liver and biliary tract tumors. The most recent FAPI derivatives not only enhance the accuracy of positron emission tomography (PET) imaging but also hold potential for theranostic applications by delivering targeted radionuclide therapies. This review examines the biological underpinnings of FAP in the TME, the design of FAPI-based imaging agents, and their evolving role in cancer diagnostics, highlighting the potential of FAP as a target for precision oncology.