bluuebunny/crossref_metadata_2025 huggingface dataset:
Reconstruction of the Temperature Conditions of Burial-Related Pressure Solution by Clumped Isotopes Validates the Analysis of Sedimentary Stylolites Roughness as a Reliable Depth Gauge
Authors: Beaudoin Nicolas E. , Koehn Daniel , Aharonov Einat , Billi Andrea , Daeron Matthieu , Boyce Adrian
Published: January 2025

Rough surfaces known as stylolites are common geological features that are developed by pressure solution, especially in carbonate rocks, where they are used as strain markers and as stress gauges. As applications are developing in various geological settings, questions arise regarding the uncertainties associated with quantitative estimates of paleostress using stylolite roughness. This contribution reports for the first time a measurement of the temperature at which pressure solution was active by applying clumped isotopes thermometry to calcite cement found in jogs linking the tips of the stylolites. This authigenic calcite formed as a redistribution of the surrounding dissolved material by the same dissolution processes that formed the extensive stylolite network. We compare the depth derived from these temperatures to the depth calculated from the vertical stress inversion of a bedding parallel stylolite population documented on a slab of the Calcare Massiccio formation (early Jurassic) formerly collected in the Umbria-Marches Arcuate Ridge (Northern Apennines, Italy). We further validate the coevality between the jog development and the pressure solution by simulating the stress field around the stylolite tip. Calcite clumped isotopes constrain crystallization to temperatures between 35 and 40 °C from a common fluid with a δ18O signature around −1.3‰ SMOW. Additional δ18O isotopes on numerous jogs allows the range of precipitation temperature to be extended to from 25 to 53 °C, corresponding to a depth range of 650 to 1900 m. This may be directly compared to the results of stylolite roughness inversion for stress, which predict a range of vertical stress from 14 to 46 MPa, corresponding to depths from 400 to 2000 m. The overall correlation between these two independent depth estimates suggests that sedimentary stylolites can reliably be used as a depth gauge, independently of the thermal gradient. Beyond the method validation, our study also reveals some mechanisms of pressure solution and the associated p,T conditions favouring their development in carbonates.
Cuphea hookeriana: Phytochemical Profile and the Cosmeceutical and Dermatological Properties of Its Active Fraction from the Whole Plant
Authors: Wu Xing , Wanyan Meng-Fei , Shi Bao-Bao , Huang Rong , Yang Hui-Xiang , Wang Xian , Liu Ji-Kai
Published: January 2025

Natural products and botanicals continue to play a very important role in the development of cosmetics worldwide. The chemical constituents of a fine active fraction of the whole plant extract of Cuphea hookeriana Walp., and the tyrosinase and matrix metalloproteinase-1 (MMP-1) inhibitory and antioxidant activities of this fraction were investigated. The fine active fraction was mainly composed of seven natural compounds. The fine active fraction demonstrated substantial in vitro antioxidant potential using the ABTS assay (IC50 1.66 μg/mL). It inhibited the two target enzymes (tyrosinase and MMP-1) engaged in skin whitening and aging with comparable IC50 values to the reference drugs. Acute toxicity experiments showed that mice gavage orally with the fine active fraction had no significant animal toxicity at a dose of 2000 mg/kg, and the maximum tolerated dose (MTD) in mice was greater than 2000 mg/kg. In a model where ultraviolet light promotes the increase in melanin secretion in guinea pig skin tissues, both α-arbutin and the fine active fraction can reduce melanogenesis, and the effect of the fine active fraction is better than that of α-arbutin.
Metal-Free Synthesis of α-H Chlorine Alkylaromatic Hydrocarbons Driven by Visible Light
Authors: De Luca Lidia , Ledda Luca , Porcheddu Andrea , Carraro Massimo , Pisano Luisa , Gaspa Silvia
Published: January 2025

Chlorination is a widely used strategy at the industrial level. Chlorinated products represent indispensable building blocks in synthetic chemistry. Here, we report the synthesis of benzyl chlorides and α-chloro alkyl arenes, mediated by visible light, starting from variously substituted toluenes and N,N-dichloroacetamide as a chlorinating reagent. This methodology is a valid alternative to the syntheses previously reported in the literature. It is a metal-free process and does not involve the use of additives or radical initiators.
In Situ TEM Study of Electrical Property and Mechanical Deformation in MoS2/Graphene Heterostructures
Authors: Giri Suresh , Sharma Subash , Mahyavanshi Rakesh D. , Kalita Golap , Yang Yong , Tanemura Masaki
Published: January 2025

We present a versatile method for synthesizing high-quality molybdenum disulfide (MoS2) crystals on graphite foil edges via chemical vapor deposition (CVD). This results in MoS2/graphene heterostructures with precise epitaxial layers and no rotational misalignment, eliminating the need for transfer processes and reducing contamination. Utilizing in situ transmission electron microscopy (TEM) equipped with a nano-manipulator and tungsten probe, we mechanically induce the folding, wrinkling, and tearing of freestanding MoS2 crystals, enabling the real-time observation of structural changes at high temporal and spatial resolutions. By applying a bias voltage through the probe, we measure the electrical properties under mechanical stress, revealing near-ohmic behavior due to compatible work functions. This approach facilitates the real-time study of mechanical and electrical properties of MoS2 crystals and can be extended to other two-dimensional materials, thereby advancing applications in flexible and bendable electronics.
Measuring Dietary Intake of Pregnant Women Post-Bariatric Surgery: Do Women Meet Recommendations?
Authors: Guthrie Taylor M. , Lee Sandra , Kothari Alka , Kumar Sailesh , Truby Helen , de Jersey Susan
Published: January 2025

Background: Bariatric surgery is increasingly offered to women of childbearing age and significantly reduces food intake and nutrient absorption. During pregnancy, associated risks, including micronutrient deficiency, are accentuated. This study describes maternal dietary intake and adherence to dietary recommendations in pregnant women with a history of bariatric surgery. Methods: Women aged 18–45 with singleton pregnancies post-bariatric surgery were recruited at <23 weeks of gestation and followed until birth. Dietary intake was measured using three non-consecutive 24 h recalls at enrolment and at 28 and 36 weeks using the standardized tool ASA24-Australia. Micronutrient supplementation dose and adherence was reported using the Brief Medication Adherence Questionnaire. Mean macronutrient intake was calculated from all diet recalls. Micronutrient intake was determined from diet recalls and from supplementation. Intake was compared to the recommended daily intakes for pregnancy. Results: Sixty-three women participated in the study. The participants met 65 ± 17.3% (mean ± SD) of estimated energy requirements, 53(23)% (median(IQR)) of fiber requirements, and exceeded fat and saturated fat recommendations. Dietary intake levels of iron, folate, zinc, calcium, and vitamin A were below recommended levels. Gastric bypass recipients consumed significantly less folate (p = 0.008), vitamin A (p = 0.035), and vitamin E (p = 0.027) than women post-gastric sleeve or gastric band. Multivitamins were used by 80% (n = 55) of participants at study enrolment, which increased their mean intake of all micronutrients to meet recommendations. Conclusions: Women who conceive post-bariatric surgery may require targeted support to meet the recommended nutrient intake. Micronutrient supplementation enables women to meet nutrient recommendations for pregnancy and is particularly important for gastric bypass recipients.
Adherence to the Mediterranean Diet and the Risk of Head and Neck Cancer: A Systematic Review and Meta-Analysis of Case–Control Studies
Authors: Zalaquett Nader , Lidoriki Irene , Lampou Maria , Saab Jad , Hadkhale Kishor , Christophi Costas , Kales Stefanos N.
Published: January 2025

Background/Objectives: Head and neck cancer (HNC) is the seventh most common cancer worldwide, with rising incidence rates and significant mortality. While tobacco use, alcohol consumption, and viral infections are established risk factors, the role of dietary patterns, particularly adherence to the Mediterranean diet (MD), in HNC prevention has gained increasing attention. The aim of the current systematic review and meta-analysis is to investigate the association between adherence to the MD and the risk of HNC. Methods: A comprehensive search was conducted, following PRISMA guidelines, to identify relevant studies published up to January 2024 that assessed the association between MD adherence and HNC risk in adults. Pooled odds ratios (OR) for a three-unit increase in MD adherence scores and corresponding 95% confidence intervals (CI) were calculated using a random-effects model. Study quality was assessed using the Newcastle–Ottawa Scale (NOS). Results: Eleven case–control studies comprising 6106 HNC cases and 9166 controls met the inclusion criteria for the systematic review. High adherence to the MD was significantly associated with a reduced risk of HNC (pooled OR = 0.561, 95% CI: 0.368–0.856, p = 0.007, I2 = 92%). Individual component analyses from three studies revealed that higher fruit and vegetable consumption significantly decreased HNC risk, whereas legumes, fish, and low meat intake showed no statistically significant associations. Conclusions: Adherence to the Mediterranean diet is associated with a significantly reduced risk of head and neck cancer. These findings support the role of the MD in cancer prevention and highlight the potential benefits of MD adherence in reducing HNC risk. Further prospective studies and randomized controlled trials are needed to confirm these findings and explore the underlying mechanisms.
Synthesis and Pharmacology of Clinical Drugs Containing Isoindoline Heterocycle Core
Authors: Jha Mukund , Youssef Dani , Sheehy Haley , Jha Amitabh
Published: January 2025

Heterocyclic compounds are the cornerstone for active pharmaceutical ingredients. Among heterocycles, isoindoline core occupies a special place, as ten commercial bioactive compounds/drugs contain this skeleton decorated with several functional groups required for optimal receptor binding. These drugs are employed for indications such as multiple myeloma, leukemia, inflammation, hypertension, edema, obesity, and insect control. This review presents the pharmacological activities, mechanisms of action, and chemical syntheses of these commercial bioactive molecules/drugs.
Clinical Characteristics, Laboratory Parameters, and Molecular Epidemiology of Neuroinvasive Flavivirus Infections in a Hotspot Region of Eastern Croatia
Authors: Sabadi Dario , Bodulić Kristian , Savić Vladimir , Vlahović Vlašić Nika , Bogdanić Maja , Perić Ljiljana , Tabain Irena , Lišnjić Dubravka , Duvnjak Mario , Židovec-Lepej Snježana , Grubišić Barbara , Rubil Ilija , Barbić Ljubo , Švitek Luka , Stevanović Vladimir , Smajić Petra , Berišić Bernarda , Zlosa Mihaela , Rončević Ivana , Vilibić-Čavlek Tatjana
Published: January 2025

Neuroinvasive flaviviruses such as tick-borne encephalitis virus (TBEV) and West Nile virus (WNV) are widely distributed in continental Croatian regions. We analyzed clinical characteristics, laboratory parameters, and molecular epidemiology of neuroinvasive flavivirus infections in eastern Croatia. A total of 43 patients with confirmed flavivirus infection hospitalized from 2017 to 2023 were included in the study. Reverse-transcription polymerase chain reaction (RT-qPCR) was used to detect flavivirus RNA in clinical samples (cerebrospinal fluid; CSF, urine). ELISA was used for IgM and IgG antibody detection in serum and CSF with confirmation of cross-reactive samples by virus neutralization test. WNV was detected more frequently (74.4%) than TBEV (25.6%). A statistically significant age difference was found between WNV patients (median 65 years) and TBEV patients (median 36 years). Comorbidities were more frequently detected in WNV patients (hypertension 56.3 vs. 18.2%; diabetes 31.3 vs. 0%). Meningitis was the most common clinical presentation in both TBE and WNV neuroinvasive disease (WNND; 63.6 and 59.4%, respectively). In addition, some rare clinical presentations of WNND were also detected (cerebellitis, polyradiculoneuritis). No significant differences in the frequency of clinical symptoms were observed between WNV and TBEV-infected patients (fever 93.7 vs. 100%; malaise 78.1 vs. 100%; headache 75.0 vs. 100%; nausea 50.0 vs. 63.6%; vomiting 34.4 vs. 54.6%). Comparative analysis of total and differential leukocyte blood count showed similar results. However, CSF pleocytosis was higher in TBE patients, with a significant difference in the neutrophil and lymphocyte count (WNND median 48.5% and 51.5%; TBE median 10.0 and 90.0%, respectively). The length of hospital stay was 12 days for WNND and 9 days for TBE. Phylogenetic analysis of detected WNV strains revealed the presence of WNV lineage 2 in eastern Croatia.
Mitochondrial DNA Structure in Trypanosoma cruzi
Authors: Herreros-Cabello Alfonso , Callejas-Hernández Francisco , Fresno Manuel , Gironès Núria
Published: January 2025

Kinetoplastids display a single, large mitochondrion per cell, with their mitochondrial DNA referred to as the kinetoplast. This kinetoplast is a network of concatenated circular molecules comprising a maxicircle (20–64 kb) and up to thousands of minicircles varying in size depending on the species (0.5–10 kb). In Trypanosoma cruzi, maxicircles contain typical mitochondrial genes found in other eukaryotes. They consist of coding and divergent/variable regions, complicating their assembly due to repetitive elements. However, next-generation sequencing (NGS) methods have resolved these issues, enabling the complete sequencing of maxicircles from different strains. Furthermore, several insertions and deletions in the maxicircle sequences have been identified among strains, affecting specific genes. Unique to kinetoplastids, minicircles play a crucial role in a particular U-insertion/deletion RNA editing system by encoding guide RNAs (gRNAs). These gRNAs are essential for editing and maturing maxicircle mRNAs. In Trypanosoma cruzi, although only a few studies have utilized NGS methods to date, the structure of these molecules suggests a classification into four main groups of minicircles. This classification is based on their size and the number of highly conserved regions (mHCRs) and hypervariable regions (mHVRs).
Role of Metformin in Preventing New-Onset Chronic Kidney Disease in Patients with Type 2 Diabetes Mellitus
Authors: Lin Yu-Ling , Lin Sheng-Hsiang , Wang Hsi-Hao , Hsu Wan-Chia , Hung Shih-Yuan , Chiou Yuan-Yow , Liou Hung-Hsiang , Chang Min-Yu , Ho Li-Chun , Wu Ching-Fang , Lee Yi-Che
Published: January 2025

Background: Recent evidence supports the protective role of metformin on kidney function in patients with type 2 diabetes mellitus. However, its potential to prevent new-onset chronic kidney disease (CKD) in patients with type 2 diabetes mellitus with normal renal function remains unclear. Therefore, this study aimed to investigate whether metformin could prevent the development of new-onset CKD in such patients. Methods: This retrospective, observational, multicenter cohort study included 316,693 patients with type 2 diabetes mellitus. After matching using the inverse probability of treatment weighting, 9109 metformin users and 1221 nonusers were analyzed. The primary outcomes were an estimated glomerular filtration rate (eGFR) of <60 mL/min/1.73 m2, urinary albumin-to-creatinine ratio of ≥30 mg/g, and a composite outcome defined as new-onset CKD. Results: The multivariable Cox survival model showed that metformin users had significantly better renal outcomes, with a notably lower risk of sustained eGFR of <60 mL/min/1.73 m2 (hazard ratio (HR), 0.71; 95% confidence interval (CI), 0.56–0.90) and new CKD onset (HR, 0.78; 95% CI, 0.65–0.94). Conclusions: Metformin plays a key role in delaying renal events in individuals with type 2 diabetes mellitus and in those with initially normal renal function.
Comparison of Two Synthesis Methods for 3D PLA-Ibuprofen Nanofibrillar Scaffolds
Authors: Mena-Porras Esteban , Contreras-Aleman Annaby , Guevara-Hidalgo María Francinie , Avendaño Soto Esteban , Batista Menezes Diego , Alvarez-Perez Marco Antonio , Chavarría-Bolaños Daniel
Published: January 2025

Objectives: This study aimed to synthesize polylactic acid (PLA) nanofibrillar scaffolds loaded with ibuprofen (IBU) using electrospinning (ES) and air-jet spinning (AJS). The scaffolds were evaluated for their physicochemical properties, drug release profiles, and biocompatibility to assess their potential for local analgesic applications. Methods: Solutions of 10% (w/v) PLA combined with IBU at concentrations of 10%, 20%, and 30% were processed into nanofibrillar membranes using ES and AJS. The scaffolds were characterized using scanning electron microscopy (SEM), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and Fourier-transformed infrared (FT-IR) spectroscopy. The drug release profile was assessed by ultraviolet-visible spectrophotometry (UV-Vis), and cell adhesion and viability were evaluated using fibroblast culture assays. Statistical analyses included qualitative analyses, t-tests, and Likelihood ratio tests. Results: SEM revealed randomly arranged nanofibers forming reticulated meshes, with more uniform dimensions observed in the AJS group. TGA and DSC analyses confirmed the thermodynamic stability of the scaffolds and enthalpy changes consistent with IBU incorporation, which FT-IR and UV-Vis validated. Drug release was sustained over 384 h, showing no significant differences between ES and AJS scaffolds (p > 0.05). Cytotoxicity and cell viability assays confirmed scaffold biocompatibility, with cellular responses proportional to drug concentration but within safe limits. Conclusions: PLA-IBU nanofibrillar scaffolds were successfully synthesized using ES and AJS. Both methods yielded biocompatible systems with stable properties and controlled drug release. Further, in vivo studies are necessary to confirm their clinical potential.
Design Method of Infrared Stealth Film Based on Deep Reinforcement Learning
Authors: Zhang Kunyuan , Liu Delian , Yang Shuo
Published: January 2025

With the rapid advancement of infrared detection technology, the development of infrared stealth materials has become a pressing need. The study of optical micro/nano infrared stealth materials, which possess selective infrared radiation properties and precise structural features, is of significant importance. By integrating deep reinforcement learning with a multilayer perceptron, we have framed the design of radiation-selective films as a reinforcement learning problem. This approach led to the creation of a Ge/Ag/Ge/Ag multilayer micro/nano optical film that exhibits infrared stealth characteristics. During the design process, the agent continuously adjusts the thickness parameters of the optical film, exploring and learning within the defined design space. Upon completion of the training, the agent outputs the optimized thickness parameters. The results demonstrate that the film structure, optimized by the agent, exhibits a low average emissivities of 0.086 and 0.147 in the 3∼5 µm and 8∼14 µm atmospheric windows, respectively, meeting the infrared stealth requirements in terms of radiation characteristics. Additionally, the film demonstrates a high average emissivity of 0.75 in the 5∼8 µm range, making it effective for thermal radiation management. Furthermore, we coated the Si surface with the designed thin film and conducted experimental validation. The results show that the coated material exhibits excellent infrared stealth properties.
Optimizing In Vitro Propagation of Haworthia truncata Schönland Using Leaf, Root, and Inflorescence
Authors: Soleimani Leila , Salehi Hassan , Pasternak Taras
Published: January 2025

Haworthia truncata, a species native to South Africa, is characterized by its limited growth and scarcity, contributing to high production costs. Countries like China and Turkey are known for exporting Haworthia globally. Tissue culture offers an efficient method for mass-producing unique and beautiful species such as H. truncata. This study tested Murashige and Skoog (MS) basal media supplemented with various concentrations of IBA (0.05–1.5 mg/L), NAA (0.05–0.25 mg/L), and BA (0.25–1.5 mg/L) to promote shoot proliferation. MS medium without plant growth regulators (PGRs) was also tested as a control. Different explant types (leaf, root, and inflorescence) were analyzed for their potential in direct and indirect regeneration. Inflorescence explants showed the highest callus induction with 1.5 mg/L IBA, while optimal shoot proliferation occurred at 1 mg/L IBA. Callus induction was optimal for leaf explants with 0.05 mg/L NAA and 0.25 mg/L BA, and shoot proliferation was highest at 0.05 mg/L NAA and 1 mg/L BA. Root explants achieved maximum callus induction with 0.25 mg/L BA and 0.25 mg/L NAA, with the best shoot proliferation using 0.05 mg/L NAA and 1 mg/L BA. The highest rooting percentage of regenerated shoots was obtained on ½ MS medium with 1.5 mg/L IBA.
Lyophilized and Oven-Dried Manilkara zapota Extracts: Characterization and In Vitro, In Vivo, and In Silico Analyses
Authors: Rivas-Gastélum María Fernanda , Galindo-Castillo Patricia Ariadna , Esparza-Sánchez Juan , Jiménez-Pérez Miriam Irene , Perfecto-Avalos Yocanxóchitl , Garcia-Amezquita Luis Eduardo , Navarro-López Diego E. , López-Mena Edgar R. , Sánchez-Arreola Eugenio , Tamayo-Martínez Juan Pablo , Mendoza-Figueroa Humberto L. , Crosby-Galván María Magdalena , Crosby-Galván Elsa Margarita , Mejía-Méndez Jorge L. , Sánchez-López Angélica Lizeth
Published: January 2025

In this work, extracts from the pulp, peel, and seed of Manilkara zapota were obtained via lyophilization and oven drying. Bromatological analyses were performed to investigate variabilities in the nutritional content of fruits after nine post-harvest days. The phytochemical content of fruits was assessed by gas chromatography flame ionization detector (GC-FID), and their biological performance was studied using in vitro antibacterial and antioxidant assays (DPPH and ABTS) and in vivo toxicity models. Molecular docking was implemented to evaluate the interaction between polar compounds from chicozapote fruits with receptors involved in the pathogenesis of bacterial strains. Results revealed that water or soluble solids content did not vary after post-harvest. It was demonstrated that lyophilization or oven-drying approaches influenced the insoluble, total dietary fiber and digestible carbohydrates among samples. According to GC-FID analysis, it was observed that lyophilization and oven-drying methods also altered the content of myristic and pentadecanoic acids among the obtained extracts. It was noted that the antibacterial and antioxidant activities of extracts were weak due to their MIC (>1000 μg/mL) and IC50 (>2000 μg/mL) values. Still, the toxicity of extracts was poor against Artemia salina nauplii. In silico evaluation unveiled that polar compounds in M. zapota fruits possess a high binding affinity towards the DNA gyrase B of the cultured strains. This study expands the scientific evidence regarding the influence of distinct extraction methods on the nutritional and nutraceutical content of native fruits and the importance of considering additional approaches to enhance their bioactivities.
Importance of OsRac1 in Signalling of Pigm-1 Mediated Resistance to Rice Blast Disease
Authors: Yang Dewei , He Niqing , Huang Fenghuang , Chen Jialin , Yu Minxiang , Jin Yidan , Lin Shaojun , Li Shengping
Published: January 2025

In rice, leucine-rich repeat nucleotide-binding site (NLR) proteins are pivotal immune receptors in combating Magnaporthe oryzae-triggered rice blast. However, the precise molecular mechanism underlying how NLR proteins regulate downstream signalling remains elusive due to the lack of knowledge regarding their direct downstream targets. The NLR protein Pigm-1 was cloned from Shuangkang 77009 in our laboratory. This study shows that the nucleotide-binding site (NBS) domain of Pigm-1 facilitates its binding to and activation of OsRac1 while the coiled-coil (CC) domain enables its binding to and activation of RAI1, ultimately inducing cell death. At the same time, after knocking out OsRac1 in the background of Shuangkang 77009 containing Pigm-1, two knockout lines showed susceptibility to rice blast. This study reveals OsRac1, a GTPase, as a signalling molecule involved in Pigm-1-mediated blast resistance, suggesting its potential as a common downstream effector of rice NLR proteins. Additionally, a transcriptional activator, RAI1, acts as an essential Pigm-1 interactor for blast resistance. Furthermore, a novel material 9311(Pigm-1) was prepared by using two-line restorer line 9311 as receptor and Shuangkang 77009 as donor with molecular marker-assisted technology, which improved blast resistance and yield. This research demonstrates that molecular marker-assisted selection technology enhances both resistance and yield in the crucial two-line restorer 9311(Pigm-1). This study offers crucial insights into how Pigm-1 protein activates downstream molecules and serves as a valuable reference for the molecular breeding of rice blast resistance genes, particularly Pigm-1.
Lignin Reinforcement in Polybutylene Succinate Copolymers
Authors: Ewurum Nnaemeka , McDonald Armando G.
Published: January 2025

This study investigated the valorization of industrial lignin for producing biodegradable polybutylene succinate (PBS)–lignin copolymers. PBS was blended with varying lignin contents (0–45 wt. %) and crosslinked/grafted using dicumyl peroxide (DCP). The preparation of the copolymers by reactive extrusion was successful, with mechanical, thermal, and morphological properties comprehensively analyzed. Lignin addition decreased tensile strength but improved stiffness (modulus) and thermal stability. Crosslinking with DCP improved the interfacial adhesion between PBS and lignin, resulting in better flexural performance at moderate lignin levels. Differential scanning calorimetry showed that lignin initially improved the crystallization temperature, but hindered it at higher concentrations due to its rigid, aromatic structure. Scanning electron microscopy analysis showed poor interfacial adhesion in PBS–lignin blends, but the surface morphology improved in crosslinked PBS–lignin copolymers, with less phase separation observed. An optimal lignin concentration appeared to depend on the property of interest. While 30% lignin provided the best improvement in flexural strength, 20% lignin offered a more balanced enhancement for most properties without the severe reduction in tensile strength observed at higher lignin contents.
Deformation Detection Method for Substation Noise Barrier Column Based on Deep Learning and Digital Image Technology
Authors: Wu Fayuan , Mao Mengting , Hu Sheng , Dai Xiaomin , He Qiang , Tang Jinhui , Hong Xian
Published: January 2025

The dynamic identification of the deformation of a noise barrier column is of great significance to the monitoring of its health. At the same time, the maximum stress of the column is an important indicator for the evaluation of its health status. Traditional contact displacement monitoring installs sensors on the structure, requires a lot of wiring and data acquisition equipment, and establishes a relatively independent and stable displacement reference system. Affected by the environment, wear, and material aging, the efficiency and reliability of data acquisition are reduced. A monitoring method based on digital image has the advantages of non-contact monitoring, high precision, and strong reliability. The existing DIC detection methods are limited by processor performance and image resolution, which are difficult to apply to engineering detection. In this paper, a structural displacement identification method based on convolutional neural networks (CNNs) and DIC technology is proposed. In this method, the data set is formed according to the column displacement cloud image obtained by DIC analysis, and the data set is enhanced by data normalization and region division. Through the analysis of the number of network layers and learning rate, the model design of the deep learning network is carried out. The high-speed camera image results of the test are introduced and identified by the static loading test of the equal-scale sound barrier. The results show that the structural displacement identification method based on CNN and DIC technology can accurately identify the displacement change in the structure, which greatly improves the efficiency of image displacement calculation using DIC technology.
Fuzzy Control of Multivariable Nonlinear Systems Using T–S Fuzzy Model and Principal Component Analysis Technique
Authors: Al-Hadithi Basil Mohammed , Gómez Javier
Published: January 2025

In this work, a new nonlinear control method is proposed, which integrates the Takagi–Sugeno (T–S) fuzzy model with the Principal Component Analysis (PCA) technique. The approach uses PCA to reduce the system’s dimensionality, minimizing the number of fuzzy rules required in the T–S fuzzy model. This reduction not only simplifies the system variables but also decreases the computational complexity, resulting in a more efficient control with smooth transient responses and zero steady-state error. To validate the performance of this PCA-based approach for both system identification and control, an interconnected double-tank system was employed. The results demonstrate the method’s capacity to maintain control accuracy while reducing computational load, making it a promising solution for applications in industrial and engineering systems that require robust, efficient control mechanisms.
Transfer Learning for Thickener Control
Authors: Arce Munoz Samuel , Hedengren John D.
Published: January 2025

Thickener control is a key area of focus in the minerals processing industry, particularly due to its crucial role in water recovery, which is essential for sustainable resource management. The highly nonlinear nature of thickener dynamics presents significant challenges in modeling and optimization, making it a strong candidate for advanced surrogate modeling techniques. However, traditional data-driven approaches often require extensive datasets, which are frequently unavailable, especially in new plants or unexplored operational domains. Developing data-driven models without enough data representative of the dynamics of the system could result in incorrect predictions and consequently, unstable response of the controller. This paper proposes the application of a methodology that leverages transfer learning to address these data limitations to enhance surrogate modeling and model predictive control (MPC) of thickeners. The performance of three approaches—a base model, a transfer learning model, and a physics-informed neural network (PINN)—are compared to demonstrate the effectiveness of transfer learning in improving control strategies under limited data conditions.
Analysis of Causes and Consequences of Failures in Process of Andesite Crushing by Jaw Crusher
Authors: Bogdanovská Gabriela , Benková Marta , Bednárová Dagmar
Published: January 2025

Mining and mineral processing are essential for the functioning of many economic sectors and for meeting human needs. Diagnostics and evaluations of faults are necessary to ensure the successful and responsible management of mining and processing processes for mineral raw materials. Fault-free operation contributes to increased efficiency, productivity, safety, and reliability, reduces the cost of the process under consideration, and reduces environmental impacts. This study aims to identify and analyze possible component failures associated with the jaw crusher used in the process of andesite crushing in an open-pit quarry and compare different approaches to their assessment. The benefit of this is using three different failure analysis methods to assess the criticality of individual jaw crusher components. This approach’s novelty lies in the synergy that occurs when assessing the failures’ impacts on safety, quality, and the environment.
Violence Risk Assessment Tools Used in Forensic and Acute Psychiatry in North America: A Scoping Review
Authors: Rosca Maria Alexandra , La Charité-Harbec Olivier , Allard Jeanne-Marie , Borduas Pagé Stéphanie , Hudon Alexandre
Published: January 2025

Violence in psychiatric settings presents a significant risk to patients, staff, and society at large. With over 400 risk assessment tools available globally, their applications and the risks they assess vary, allowing for diverse use in different situations. This scoping review investigated the risk management tools utilized in North America’s forensic psychiatry and acute psychiatric units, aiming to identify which ones are mainly used. A comprehensive search was conducted across PubMed, Embase, and PsycINFO databases, following PRISMA Guidelines, covering the literature from their inception date until 2023. Criteria for study inclusion required a focus on risk management tool use in forensic or acute psychiatric settings, originality (original studies, case reports, or systematic reviews), and a North American context. Out of 3059 identified studies, 40 were thoroughly analyzed. Commonly used risk assessment scales include HARM-FV, eHARM-FV, HCR-20, PCL-R, START, BVC, and DASA, with their reliability varying by the clinical context and the assessed population. The review highlights the heterogeneous application of static and dynamic scales across clinical settings, underscoring a need for more precise tools to improve risk assessments in forensic psychiatry, signaling a call for the development and validation of more sophisticated assessment instruments.
Projected Spatiotemporal Evolution of Urban Form Using the SLEUTH Model with Urban Master Plan Scenarios
Authors: Liu Yuhan , Wu Caiyan , Wu Jiong , Zhang Yangcen , Bi Xing , Wang Meng , Yan Enrong , Song Conghe , Li Junxiang
Published: January 2025

Urban growth, a pivotal characteristic of economic development, brings many environmental and ecological challenges. Modeling urban growth is essential for understanding its spatial dynamics and projecting future trends, providing insights for effective urban planning and sustainable development. This study aims to assess the spatiotemporal patterns of urban growth and morphological evolution in mainland Shanghai from 2016 to 2060 using the SLEUTH model under multiple growth scenarios based on the Shanghai Urban Master Plan (2017–2035). A comprehensive set of urban growth metrics and quadrant analysis were employed to quantify the magnitude, rate, intensity, and direction of urban growth, as well as morphological evolution, over time. We found that (1) significant urban growth was observed across most scenarios, with the exception of stringent land protection. The most substantial growth occurred prior to 2045 with an obvious north–south disparity, where southern regions demonstrated more pronounced increases in urban land area and urbanization rates. (2) The spatiotemporal patterns of the rate and intensity of urban growth exhibited similar characteristics. The spatial pattern followed a “concave shape” pattern and displayed anisotropic behavior, with the high values for these indicators primarily observed before 2025. (3) The urban form followed a diffusion–coalescence process, with patch areas dominated by the infilling mode and patch numbers dominated by the edge-expansion mode. This resulted in significant alternating urban growth models in the infilling, edge-expansion, and leapfrog modes over time, influenced by varying protection intensities. These findings provide valuable insights for forward-looking urban planning, land use optimization, and the support of sustainable urban development.
Township-Level Ecological Management for Enhanced Ecosystem Services in the Qinling Mountains
Authors: Zhao Yan , Chen Yiping , Wu Wenqi , Tian Hanwen , Zhang Huiwen
Published: January 2025

The Qinling Mountains, known for high forest cover and multiple ecosystem services (ES), present significant potential for advancing ecological management (EM) paradigms. However, existing studies on matching long-term ES sequences with governance units remain limited. By quantifying the assemblage and clustering patterns of ecosystems in the Qinling Mountains over forty years, this study was innovative in analyzing changes in long-term ecosystem interactions and the impact of spatialization drivers, enhancing the significance of administrative-scale adaptations for sustained conservation and EM strategies. The results showed an increasing trend in the multiple ES Landscape Index (MESLI) since 2000. Spatialized trend analysis showed that the MESLI increased by 58.8% in the east. Moreover, the potential of ES bundles (ESB) in matching ecological management scales was demonstrated. Three ESBs were identified at different administrative levels and townships were more responsive to ESB changes. The composite ESB 1 dominated at 50.2%, and ESB 2 exhibited an upward trend. Additionally, spatial analysis of long-term drivers revealed the underlying causes of local ES degradation. Climate change had region-wide impacts, while natural and anthropogenic factors contributed to localized degradation. These findings emphasize the critical role of spatiotemporal analysis in shaping township-level EM strategies in multi-ES regions, providing feasible guidance for accurately enhancing localized management.
AIR-POLSAR-CR1.0: A Benchmark Dataset for Cloud Removal in High-Resolution Optical Remote Sensing Images with Fully Polarized SAR
Authors: Wang Yuxi , Zhang Wenjuan , Pan Jie , Jiang Wen , Yuan Fangyan , Zhang Bo , Yue Xijuan , Zhang Bing
Published: January 2025

Due to the all-time and all-weather characteristics of synthetic aperture radar (SAR) data, they have become an important input for optical image restoration, and various cloud removal datasets based on SAR-optical have been proposed. Currently, the construction of multi-source cloud removal datasets typically employs single-polarization or dual-polarization backscatter SAR feature images, lacking a comprehensive description of target scattering information and polarization characteristics. This paper constructs a high-resolution remote sensing dataset, AIR-POLSAR-CR1.0, based on optical images, backscatter feature images, and polarization feature images using the fully polarimetric synthetic aperture radar (PolSAR) data. The dataset has been manually annotated to provide a foundation for subsequent analyses and processing. Finally, this study performs a performance analysis of typical cloud removal deep learning algorithms based on different categories and cloud coverage on the proposed standard dataset, serving as baseline results for this benchmark. The results of the ablation experiment also demonstrate the effectiveness of the PolSAR data. In summary, AIR-POLSAR-CR1.0 fills the gap in polarization feature images and demonstrates good adaptability for the development of deep learning algorithms.
An Effective Robust Total Least-Squares Solution Based on “Total Residuals” for Seafloor Geodetic Control Point Positioning
Authors: Lv Zhipeng , Xiao Guorui
Published: January 2025

Global Navigation Satellite System/Acoustic (GNSS/A) underwater positioning technology is attracting more and more attention as an important technology for building the marine Positioning, Navigation, and Timing (PNT) system. The random error of the tracking point coordinate is also an important error source that affects the accuracy of GNSS/A underwater positioning. When considering its effect on the mathematical model of GNSS/A underwater positioning, the Total Least-Squares (TLS) estimator can be used to obtain the optimal position estimate of the seafloor transponder, with weak consistency and asymptotic unbiasedness. However, the tracking point coordinates and acoustic ranging observations are inevitably contaminated by outliers because of human mistakes, failure of malfunctioning instruments, and unfavorable environmental conditions. A robust alternative needs to be introduced to suppress the adverse effect of outliers. The conventional Robust TLS (RTLS) strategy is to adopt the selection weight iteration method based on each single prediction residual. Please note that the validity of robust estimation depends on a good agreement between residuals and true errors. Unlike the Least-Squares (LS) estimation, the TLS estimation is unsuitable for residual prediction. In this contribution, we propose an effective RTLS_Eqn estimator based on “total residuals” or “equation residuals” for GNSS/A underwater positioning. This proposed robust alternative holds its robustness in both observation and structure spaces. To evaluate the statistical performance of the proposed RTLS estimator for GNSS/A underwater positioning, Monte Carlo simulation experiments are performed with different depth and error configurations under the emulational marine environment. Several statistical indicators and the average iteration time are calculated for data analysis. The experimental results show that the Root Mean Square Error (RMSE) values of the RTLS_Eqn estimator are averagely improved by 12.22% and 10.27%, compared to the existing RTLS estimation method in a shallow sea of 150 m and a deep sea of 3000 m for abnormal error situations, respectively. The proposed RTLS estimator is superior to the existing RTLS estimation method for GNSS/A underwater positioning.
A New Self-Made 16-Channel Capacitive Electrocardiography System: An Investigation and Validation for Non-Contact Electrodes
Authors: Yang Jinru , Wang Tianjun , Cui Haipo , Sun Limin
Published: January 2025

Generally, the electrocardiography (ECG) system plays an important role in preventing and diagnosing heart diseases. To further improve the amenity and convenience of using an ECG system, we built a customized capacitive electrocardiography (cECG) system with one wet electrode, sixteen non-contact electrodes, two ADS1299 chips, and one STM32F303-based microcontroller unit (MCU). This new cECG system could acquire, save, and display the ECG data in real time. The bias feedback as a critical technique was routed to the left hand with the wet Ag/AgCl electrode, which could greatly suppress the power line noise. After all artifacts were removed, the ECG signals could be discerned clearly. We demonstrated that the ECG signals acquired with the capacitive electrodes were similar to those with the wet electrode. Thus, we successfully provide a new configuration for cECG monitoring at home or in a clinical setting.
Pic2Plate: A Vision-Language and Retrieval-Augmented Framework for Personalized Recipe Recommendations
Authors: Soekamto Yosua Setyawan , Lim Andreas , Limanjaya Leonard Christopher , Purwanto Yoshua Kaleb , Lee Suk-Ho , Kang Dae-Ki
Published: January 2025

Choosing nutritious foods is essential for daily health, but finding recipes that match available ingredients and dietary preferences can be challenging. Traditional recommendation methods often lack personalization and accurate ingredient recognition. Personalized systems address this by integrating user preferences, dietary needs, and ingredient availability. This study presents Pic2Plate, a framework combining Vision-Language Models (VLMs) and Retrieval-Augmented Generation (RAG) to overcome these challenges. Pic2Plate uses advanced image recognition to extract ingredient lists from user images and RAG to retrieve and personalize recipe recommendations. Leveraging smartphone camera sensors ensures accessibility and portability. Pic2Plate’s performance was evaluated in two areas: ingredient detection accuracy and recipe relevance. The ingredient detection module, powered by GPT-4o, achieved strong results with precision (0.83), recall (0.91), accuracy (0.77), and F1-score (0.86), demonstrating effectiveness in recognizing diverse food items. A survey of 120 participants assessed recipe relevance, with model rankings calculated using the Bradley–Terry method. Pic2Plate’s VLM and RAG integration consistently outperformed other models. These results highlight Pic2Plate’s ability to deliver context-aware, reliable, and diverse recipe suggestions. The study underscores its potential to transform recipe recommendation systems with a scalable, user-centric approach to personalized cooking.
Fluorescence Lifetime Endoscopy with a Nanosecond Time-Gated CAPS Camera with IRF-Free Deep Learning Method
Authors: Iranian Pooria , Lapauw Thomas , Van den Dries Thomas , Sahakian Sevada , Wuts Joris , Jacobs Valéry Ann , Vandemeulebroucke Jef , Kuijk Maarten , Ingelberts Hans
Published: January 2025

Fluorescence imaging has been widely used in fields like (pre)clinical imaging and other domains. With advancements in imaging technology and new fluorescent labels, fluorescence lifetime imaging is gradually gaining recognition. Our research department is developing the tauCAMTM, based on the Current-Assisted Photonic Sampler, to achieve real-time fluorescence lifetime imaging in the NIR (700–900 nm) region. Incorporating fluorescence lifetime into endoscopy could further improve the differentiation of malignant and benign cells based on their distinct lifetimes. In this work, the capabilities of an endoscopic lifetime imaging system are demonstrated using a rigid endoscope involving various phantoms and an IRF-free deep learning-based method with only 6-time points. The results show that this application’s fluorescence lifetime image has better lifetime uniformity and precision with 6-time points than the conventional methods.
Finite Element Analysis of Electromagnetic Characteristics of a Single-Phase Permanent Magnet Linear Oscillation Actuator
Authors: Zhang Hongbin , Wang Zhaoxin , Chen Minshuo , Shen Zhan , Yu Haitao , Xu Zhike
Published: January 2025

The electromagnetic characteristics of a single-phase permanent magnet linear oscillation actuator are analyzed by the finite element method. Firstly, the basic structure and operation principle of the linear oscillation actuator are introduced. The internal stator slot and arc tooth are used to reduce the detent force. According to the principle of electromagnetic fields, the electromagnetic field equation is listed and the function of the motor is deduced. At the same time, the eight-node hexahedral element is used to calculate the listed universal functions, and the inductance, flux linkage, induced electromotive force and electromagnetic force of the motor are deduced. The electromagnetic field of the motor is simulated by two-dimensional and three-dimensional finite element methods, and the accuracy of the calculation results of the electromagnetic characteristics of the cylindrical linear oscillation motor by the two methods is compared and analyzed. Finally, an experimental prototype was developed and the no-load characteristics of the motor were tested using the existing linear motor towing method. By comparing the experimental and simulation results, the accuracy of the theoretical analysis and the rationality of the motor design are verified.
Investigation of Sliding Mode Control in the Nonlinear Modeling of Cordless Jigsaws
Authors: Apáti Sándor , Hegedűs György , Hajdu Sándor , Korondi Péter
Published: January 2025

The aim of this paper was to reduce the current spikes in battery-powered saw motors by designing and implementing a sliding mode model-following adaptive controller. The proposed controller reduces overcurrent consumption, improves system energy efficiency, and effectively maximizes battery runtime, especially under high-load conditions. By applying nonlinear compensation techniques, the controller can ensure smooth motor operation, reduce mechanical stress, and prolong tool life. The results showed that this control strategy is particularly suitable for hand tools, where a long battery life is essential for efficient operation.