bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimum Nitrogen and Density Allocation for Trade−Off Between Yield and Lodging Resistance of Winter Wheat
Authors: Liu Haitao , Sun Shufang , Jin Min , Li Chunhui , Wang Jiayu , Cui Haixing , Li Yong , Wang Zhenlin
Published: January 2025

Increasing nitrogen and planting density can enhance crop yield, but it can reduce lodging resistance due to decreased lignin content. There is an urgent need to find feasible measures to balance these conflicting factors. We conducted a two-year field experiment in Tai’an, Shandong Province, China, evaluated SN23 (lodging resistant) and SN16 (lodging sensitive), under three nitrogen applications (120 kg/ha, N1; 240 kg/ha, N2; 360 kg/ha, N3) and four planting densities (75 plants/m2, D1; 225 plants/m2, D2; 375 plants/m2, D3; 525 plants/m2, D4), with N2D2 as the control, and measured lodging resistance related indexes and yield. N2D3 (SN23) increased internode length by 0.40 cm, reduced fresh weight by 0.09 g, resulting in a bending moment reduction of 0.39 g/cm. Lignin, cellulose, and hemicellulose decreased by 18.27, 16.48, and 16.22 mg/g DW, while S and G lignin subunits decreased by 118.09 and 127.34 μg/g DW, and H subunit increased by 23.59 μg/g DW. Eventually, the breaking strength was reduced by 1.74 g/cm resulting in a reduction of 0.09 in the lodging resistance index. The yield reached 10.17 t/ha due to an increase in spike number by 100.33 plants/m2, achieving an optimal balance between yield and lodging resistance in this experiment. This study provides a viable solution for balancing lodging resistance and yield in winter wheat.
Compensation Mechanisms for Early Maturity and High Yield in Tartary Buckwheat (Fagopyrum tataricum): A Study on ‘Source–Sink’ Relationship and Phosphorus Utilization
Authors: Chen Xuling , Yang Li , Zhao Chunxia , Zhao Shunjiang , Meng Ziye , Zhang Xiaona , Chen Qijiao , Wei Kesu , Xiang Dabing , Wan Yan , Fan Yu , Wang Yan , Liang Chenggang
Published: January 2025

The regulatory mechanisms underlying the ‘source–sink’ relationship in Tartary buckwheat remain largely unexplored. This study selected an early-maturing, high-yield variety, ‘Zhukuzao1’ (ZKZ1), to delve into the ‘source–sink’ relationship and the regulatory mechanisms of phosphorus utilization. Compared with Jinqiao2 (JQ2), ZKZ1 matured approximately 10 days earlier, with significantly reduced chlorophyll content, net photosynthetic rate, and down-regulated PSI-III and GBSSI, indicating a reduced ‘source’. However, ZKZ1 maintained soluble sugar levels in upper leaves and increased sugar transport to seeds, promoting plant growth and yield formation. Under varying phosphorus conditions, ZKZ1 exhibited significantly higher total phosphorus content in lower (3.9~4.5-fold) and upper (1.4~1.6-fold) leaves of seedlings, along with increased phosphorus transport to upper leaves and seeds, and up-regulated PHO1 (2.4~3.0-fold), SPX3 (1.8~2.8-fold), PAP2 (2.8~7.7-fold), and 5PTase2 (1.4~3.5-fold) in leaves, indicating improved phosphorus absorption, transport, and remobilization. At maturity, ZKZ1 achieved yields comparable to JQ2, with superior quality traits, including significantly increased contents of protein (glutenin, prolamin, and globulin) and flavonoids under normal phosphorus conditions. Notably, the efficient phosphorus-regulated sugar metabolism in ZKZ1 maintains yield via enhanced ‘flow’ despite photosynthesis decrease. This study highlights the potential of optimizing the ‘source–sink’ relationship and phosphorus utilization in early-maturing, high-yield Tartary buckwheat breeding.
Assessment of the Effects of Newly Fabricated CaO, CuO, ZnO Nanoparticles on Callus Formation Maintenance of Alfalfa (Medicago sativa L.) Under In Vitro Salt Stress
Authors: Akçay Mustafa , Geyik Merve Simsek , Yazicilar Busra , Boke Fatma , Nadaroglu Hayrunnisa , Atıcı Okkes , Bezirganoğlu İsmail
Published: January 2025

Nanoparticles play an important role in plant response to abiotic stresses including salt stress. In this study, the physiological and histological responses of CuO, ZnO, and CaO nanoparticle (NP) applications on callus tissues developed from two alfalfa lines (Erzurum and Muş) exposed to salt (NaCl) stress were evaluated. The NPs were synthesized from the extracts obtained from healthy walnut shells using the green synthesis approach and then characterized by Scanning Electron Microscopy (SEM) and X-ray diffraction analysis (XRD). The leaf explants were placed in an MS medium containing 4 mg L−1 2,4-D (2,4-dichlorophenoxyacetic acid), 50 mM NaCl, and 0.8 ppm of NPs for 1 month in the dark. CaO NP is determined to be more effective than CuO and ZnO in callus induction from leaf explants. Malondialdehyde (MDA) content was higher in the callus treated with 0.8 ppm CuO NP + 50 mM NaCl compared to other treatments. The callus induction stage, without salt treatments, showed the best results with 0.8 ppm CaO NPs for both H2O2 levels and peroxidase (POX) activity compared to the other NPs. The highest protein rate was obtained from the callus induction stage and callus formation stage after 50 mM treatment NaCl with 0.8 ppm CuO. The LCSM results displayed, under in vitro conditions, that the treatment of NPs can greatly suppress the negative effects of salt stress on calli samples. SEM analysis supported the results obtained by laser scanning confocal microscopy (LSCM) analysis. Our findings suggest that CuO, CaO, and ZnO NPs can offer a simple and effective method to protect alfalfa callus from NaCl stress severity. Furthermore, these NPs, particularly CaO, hold potential for broader application and should be evaluated under various abiotic conditions beyond salt stress.
Development of Novel Conductive Inks for Screen-Printed Electrochemical Sensors: Enhancing Rapid and Sensitive Drug Detection
Authors: Leite Victor Alexandre Ribeiro , Oliveira Sthephane Pereira de , Souza Larissa Cristina de , Silva Léa Júlia de Paula , Silva Laís Fonseca , Cândido Thaís Cristina de Oliveira , Silva Daniela Nunes da , Pereira Arnaldo César
Published: January 2025

The development of screen-printed electrochemical sensors represents a rapidly expanding research field with great potential for applications in the rapid and sensitive determination of drugs in complex matrices. This work presents a review of the state-of-the-art examples of this technology, focusing on its application in real matrices such as water, pharmaceutical formulations, and biological fluids. We discuss the main materials used in developing conductive inks, highlighting their properties and influence on sensor performance. The characterization of materials and sensors is crucial to ensure the reproducibility and reliability of results. Additionally, we address the challenges associated with the application of these sensors in complex matrices, such as interferences from other components and the need for sample pretreatment. Finally, we present future perspectives for developing screen-printed electrochemical sensors, with an emphasis on new technologies and materials that can improve the sensitivity, selectivity, and stability of these devices.
A Framework for Comprehensive Dairy Calf Health Investigations
Authors: Edwards Kristen Y. , Renaud David L.
Published: January 2025

The objective of this narrative review is to provide a systematic framework for veterinarians to investigate dairy calf health, focusing on critical control points and key performance indicators (KPIs) to address morbidity and mortality challenges in preweaned calves. Recommendations target prenatal maternal nutrition, heat stress abatement, and optimal calving management to minimize risks associated with perinatal mortality and preweaning morbidity. Further, comprehensive colostrum management is discussed to ensure excellent transfer of passive immunity, which includes prompt collection and feeding within two hours of birth at a volume of 8.5–10% of calf body weight. Nutritional guidance emphasizes the importance of transition milk and feeding higher planes of nutrition to support immunity, with recommendations that milk total solids exceed 10% to meet energy needs. Environmental management recommendations include a minimum of 3.3 m2 of space per calf, the use of low-dust bedding, and air quality controls to reduce respiratory disease. Lastly, regular health data collection and KPI monitoring, such as average daily gain and morbidity rates, are essential for data-driven improvements. By implementing these evidence-based recommendations, veterinarians can support dairy farmers in reducing calf morbidity and mortality, ultimately enhancing calf welfare and lifetime productivity.
Description and Analysis of Horse Swimming Strategies in a U-Shaped Pool
Authors: Gaulmin Pauline , Marin Frédéric , Moiroud Claire , Beaumont Audrey , Jacquet Sandrine , De Azevedo Emeline , Martin Pauline , Audigié Fabrice , Chateau Henry , Giraudet Chloé
Published: January 2025

Aquatic training has been integrated into equine rehabilitation and training programs for several decades. While the cardiovascular effects of this training have been explored in previous studies, limited research exists on the locomotor patterns exhibited during the swimming cycle. This study aimed to analyze three distinct swimming strategies, identified by veterinarians, based on the propulsion phases of each limb: (S1) two-beat cycle with lateral overlap, (S2) two-beat cycle with diagonal overlap, and (S3) four-beat cycle. 125 underwater videos from eleven horses accustomed to swimming were examined to quantify the differences in locomotor patterns between these strategies. Initially, a classifier was developed to categorize 125 video segments into four groups (CatA to CatD). The results demonstrated that these categories correspond to specific swimming strategies, with CatA aligning with S1, CatB with S2, and CatC and CatD representing variations of S3. This classification highlights that two key parameters, lateral and diagonal ratios, are indeed effective in distinguishing between the different swimming strategies. Additionally, coordination patterns were analyzed in relation to these swimming strategies. One of the primary findings is the variability in swimming strategies both within and between individual horses. While five horses consistently maintained the same strategy throughout their swimming sessions, six others exhibited variations in their strategy between laps. This suggests that factors such as swimming direction, pauses between laps, and fatigue may influence the selection of swimming strategy. This study offers new insights into the locomotor patterns of horses during aquatic training and has implications for enhancing the design of rehabilitation protocols.
Vismia guianensis Improves Survival of Tenebrio molitor and Mice During Lethal Infection with Candida albicans
Authors: Costa Arthur André Castro , Motta Elizangela Pestana , Oliveira Aluísio Silva , Santos Pamela Gomes , Farias Josivan Regis , Franco Danielle Cristine Gomes , Silva Mayara Cristina Pinto , Barbosa Nicolle Teixeira , Muniz Simone Batista , Silva Luís Douglas Miranda. , Silva Lucilene Amorim , Rocha Claudia Quintino , Nascimento Flavia Raquel Fernandes , Guerra Rosane Nassar Meireles
Published: January 2025

Background/Objectives: Vismia guianensis is a vegetal species popularly used to treat fungal infections. This study evaluated the anti-Candida effect of V. guianensis extract after C. albicans lethal infection in Tenebrio molitor larvae and mice. Methods and Results: The chemical profile analysis of a hydroethanolic extract of the leaves of V. guianensis (EHVG) identified 14 compounds. Two sets of experiments used T. molitor larvae. To evaluate toxicity, the uninfected larvae were treated with EHVG or anthraquinone. We considered the following groups: the controls received PBS; ANFO B received amphotericin B (600 mg/mL); EHVG received the extract; and ANTQ received anthraquinone. The extract and anthraquinone resulted in low-level toxicity in the T. molitor larvae. Another set of experiments evaluated the EHVG effect during lethal infection with Candida albicans. The T. molitor larvae were treated intracelomically (ic/10 μL). Treatment with EHVG efficiently improved the survival of the larvae after lethal infection (60%), probably due to the reduction in CFUs. In the mice, the antifungal effect of EHVG was determined in three groups of immunosuppressed Swiss mice (cyclophosphamide, 50 mg/kg/ip) infected with C. albicans (1 × 107 CFU/ip). The control animals were infected and untreated; the ANFO B animals were infected and treated with amphotericin B (600 µg/kg/ip); and the EHVG animals were infected and treated with the extract (5 mg/kg/orally). A SHAM group (uninfected and untreated) was also included. Survival was assessed for 5 days. The extract increased the mice’s survival (60%) and life expectancy, reducing the CFU counts in the peritoneum and blood. EHVG also increased the number of blood neutrophils and peritoneal macrophages. These systemic activities are likely associated with the presence of flavonoids in the extract. Conclusions: The beneficial effects of EHVG in lethal sepsis are related to an antifungal effect, with the number of CFUs decreasing in the larvae and the mice. In addition, EHVG showed immunological activity in the mice, considering immune cell distribution and cytokine production.
Molecular Epidemiological Characteristics of Staphylococcus pseudintermedius, Staphylococcus coagulans, and Coagulase-Negative Staphylococci Cultured from Clinical Canine Skin and Ear Samples in Queensland
Authors: Horsman Sara , Zaugg Julian , Meler Erika , Mikkelsen Deirdre , Soares Magalhães Ricardo J. , Gibson Justine S.
Published: January 2025

Background/Objectives: Infections in dogs caused by methicillin-resistant staphylococci (MRS) present limited treatment options. This study’s objective was to investigate the molecular epidemiology of Staphylococcus spp. cultured exclusively from clinical canine skin and ear samples in Queensland, Australia, using whole-genome sequencing (WGS). Methods: Forty-two Staphylococcus spp. isolated from clinical canine skin and ear samples, from an unknown number of dogs, were sourced from two veterinary diagnostic laboratories between January 2022 and May 2023. These isolates underwent matrix-assisted laser desorption ionisation– time of flight bacterial identification, minimum inhibitory concentration testing using SensititreTM plates and WGS. Phylogenetic trees and core genome multilocus sequence typing (cgMLST) minimum spanning trees (MSTs) were constructed. Results: The isolates included methicillin-resistant and -sensitive S. pseudintermedius (MRSP: 57.1%, 24/42; and MSSP: 19.1%, 8/42), methicillin-resistant and -sensitive S. coagulans (MRSC: 14.3%, 6/42; and MSSC: 2.4%, 1/42) and methicillin-resistant coagulase-negative staphylococci (MR-CoNS: 7.1%, 3/42). Thirty-nine isolates were included after WGS, where all MRS harboured the mecA gene. Eighteen sequence types (STs) were identified, including three novel MRSP and six novel MSSP STs. MRSP ST496-V-VII (23%; 9/39) and MRSP ST749-IV-(IVg) (12.8%; 5/39) were commonly isolated. Phylogenetic analysis of single nucleotide polymorphisms showed that MRSP, MRSC and MSSC were similar to globally isolated staphylococci from canine skin and ear infections. Using cgMLST MSTs, MRSP isolates were not closely related to global strains. Conclusions: Our findings revealed a genotypically diverse geographical distribution and phylogenetic relatedness of staphylococci cultured from clinical canine skin and ear samples across Queensland. This highlights the importance of ongoing surveillance to aid in evidence-based treatment decisions and antimicrobial stewardship.
Natural Bioactive Compounds Exerting Health-Promoting Effects by Ameliorating Oxidative Stress
Authors: Du Bin , Xu Baojun
Published: January 2025

Oxidative stress is caused by various intrinsic and extrinsic factors [...]
Comparison of Antioxidant Properties of Fruit from Some Cultivated Varieties and Hybrids of Rubus idaeus and Rubus occidentalis
Authors: Adamczuk Natalia , Krauze-Baranowska Mirosława , Ośko Justyna , Grembecka Małgorzata , Migas Piotr
Published: January 2025

The aim of this study was to compare the antioxidant potential in the fruits of different hybrids of Rubus idaeus and Rubus occidentalis (four hybrids) against the fruit of known cultivars of both species (R. idaeus—three cultivars; R. occidentalis—five cultivars) and, using chemometric analysis, to select factors affecting the level of polyphenols and antioxidant properties. Antioxidant activity was determined using the ABTS, DPPH and FRAP tests. Chemometric analysis enabled the separation of R. idaeus and R. occidentalis cultivars and classified the hybrid R. idaeus/R. occidentalis R1314701 as belonging to the R. occidentalis species. Moreover, two hybrids, Rubus occidentalis/Rubus idaeus R1613411 and R. idaeus/R. occidentalis R1613409, can be classified as a purple raspberry. Crossbreeding species/cultivars of the Rubus genus may result in an increased content of anthocyanins, but on the other hand, it may lead to a reduction in free radical scavenging activity in the ABTS and DPPH. Spearman’s correlations confirm the correlations between the total polyphenol content and antioxidant activity in the DPPH, ABTS and FRAP, as well as the anthocyanin content and antioxidant activity in the ABTS and FRAP tests. Chemometric analysis can be an effective tool in determining the species affiliation of obtained hybrids and cultivars.
Dietary Fiber-Rich Spartina anglica Improves Intestinal Health and Antioxidant Capacity of Zhedong White Geese
Authors: Zhou Xiao , Wang Li , Dai Jiuli , Jia Huiyan , Shi Kai , Zhao Jian , Chen Shufang
Published: January 2025

Spartina anglica (SA), a plant rich in dietary fiber, has demonstrated considerable potential for enhancing gut health and antioxidant capacity in animals. This study investigates the integration of SA as a novel dietary ingredient for Zhedong white geese, with a specific focus on evaluating its effects on growth performance, nutrient digestibility, antioxidant capacity, intestinal health, and cecal microbiota composition. A total of 360 1-day-old Zhedong white geese with an average weight of 114.94 ± 0.81 g were randomly allocated to 4 dietary treatments, with 6 replicates per treatment and 15 geese per pen. The 4 dietary treatments included different SA supplement levels: a control group receiving a basal diet (CON), and three experimental groups supplemented with 3% SA (SA3), 6% SA (SA6), and 12% SA (SA12). Supplementation with 6% SA significantly enhanced the final body weight, average daily gain, and feed conversion ratio (FCR) compared to the CON group (p < 0.05). In contrast, the SA12 group exhibited reduced digestibility of crude protein and ether extract, relative to the SA3 and SA6 groups (p < 0.05). The highest antioxidant capacity was observed in the SA6 and SA12 groups, while the lowest was recorded in the CON group. SA supplementation did not significantly influence serum biochemical parameters or organ indices but increased cecum length (p < 0.05). Notably, SA supplementation markedly improved intestinal morphology, although excessive levels appeared to compromise these benefits. Additionally, SA supplementation significantly enhanced the richness and diversity of cecal microbiota and increased short-chain fatty acid concentrations. In conclusion, SA at an optimal supplementation level of 6% may be effectively utilized in Zhedong white geese diets to improve growth performance, gut health, and antioxidant capacity.
The Deep Structure of the Kimberlite Pipe Volchya in the Arkhangelsk Diamond Province and Controlling Faults Based on Passive Seismic and Radiological Methods (Northwest Russia)
Authors: Danilov Konstantin , Yakovlev Evgeny , Puchkov Andrey , Bykov Vladimir , Katorin Alexander
Published: January 2025

The successful prospecting of kimberlite pipes is dependent upon a comprehensive understanding of the deep structures of the pipes and the host geological formation. This is a challenging task, given the complex nature of diamond deposits, the small size of pipes in the plan, the absence of stable features in potential fields, etc. As a consequence, the allocation of control structures is practically not used in exploration work. In this regard, the Arkhangelsk diamond province (NW Russia) is distinguished by the considerable overburden thickness, which presents a significant challenge for the application of geophysical methods. It is thus imperative to devise novel methodologies for conducting investigations. In order to achieve this, a set of methods was employed, including microseismic sounding, passive seismic interferometry, and radon emanation mapping. This set of methods has previously been tested only on a few pipes and has not previously been employed in the Griba deposit. The Volchya pipe was selected as the test object due to its proximity to the Griba pipe. The findings revealed that the pipe displayed a more complex configuration than was previously postulated. The controlling faults were found to be oriented in a southwesterly to northwesterly direction and to exhibit a contrasting narrow vertical structure at depths greater than 400 m. Further identification of control structures by the proposed set of methods can increase the efficiency of diamond prospecting.
The Use of Ibuprofen Arginate in Pain Management Following Third Molar Surgery—A Scoping Review
Authors: Lorenzi Claudia , Cammarota Ilaria , Mazzetti Vincenzo , Arcuri Claudio , Carosi Paolo , Pujia Alberto Maria
Published: January 2025

Background: The management of pain and inflammation after third molar extraction is essential for patient comfort and recovery. While conventional ibuprofen is widely used for pain relief, ibuprofen arginate, a formulation aimed at faster absorption, has shown potential for faster onset and enhanced efficacy. The aim of the present scoping review was to assess current evidence on the effectiveness of ibuprofen arginate in reducing pain and inflammation following third molar extraction compared to conventional ibuprofen. Methods: A comprehensive literature search was conducted in the MEDLINE database for studies published between 2002 and 2024, focusing on ibuprofen arginate’s impact on postoperative sequelae after third molar extractions. The studies included randomized controlled trials, cohort studies, and case–control studies in English. Results: Four studies, with a combined sample of 1245 patients, met the inclusion criteria. The findings suggest that ibuprofen arginate (200/400 mg) offers a faster onset of pain relief, with significant effects noticeable within 1–2 h. At six hours post administration, pain control was found to be similar between ibuprofen arginate and conventional ibuprofen. Additionally, a study found that ibuprofen arginate (600 mg) reduced postoperative swelling more effectively, although its impact on trismus was limited. Conclusions: Ibuprofen arginate seems to offer quicker pain relief and better control of swelling after third molar extractions compared to regular ibuprofen, making it a promising option for faster recovery. However, more studies are needed to fully understand its benefits and potential uses.
Zero-TCE: Zero Reference Tri-Curve Enhancement for Low-Light Images
Authors: Yu Chengkang , Han Guangliang , Pan Mengyang , Wu Xiaotian , Deng Anping
Published: January 2025

Addressing the common issues of low brightness, poor contrast, and blurred details in images captured under conditions such as night, backlight, and adverse weather, we propose a zero-reference dual-path network based on multi-scale depth curve estimation for low-light image enhancement. Utilizing a no-reference loss function, the enhancement of low-light images is converted into depth curve estimation, with three curves fitted to enhance the dark details of the image: a brightness adjustment curve (LE-curve), a contrast enhancement curve (CE-curve), and a multi-scale feature fusion curve (MF-curve). Initially, we introduce the TCE-L and TCE-C modules to improve image brightness and enhance image contrast, respectively. Subsequently, we design a multi-scale feature fusion (MFF) module that integrates the original and enhanced images at multiple scales in the HSV color space based on the brightness distribution characteristics of low-light images, yielding an optimally enhanced image that avoids overexposure and color distortion. We compare our proposed method against ten other advanced algorithms based on multiple datasets, including LOL, DICM, MEF, NPE, and ExDark, that encompass complex illumination variations. Experimental results demonstrate that the proposed algorithm adapts better to the characteristics of images captured in low-light environments, producing enhanced images with sharp contrast, rich details, and preserved color authenticity, while effectively mitigating the issue of overexposure.
Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches
Authors: Li Wei , Ji Fengling , Chen Xiangsheng
Published: January 2025

Clarifying the correlation between macro–microscopic granular parameters and establishing effective parameter calibration methods for determining granular microparameters is of great importance for numerical simulations of granular flows. Currently, there is a gap in the systematic study of small particles, using sandy soil as an example, and the development of rational and effective calibration methods. Through inter-particle friction experiments, particle–wall friction experiments, uniaxial compression experiments and numerical simulations, we studied the relationship between macroscopic and microscopic parameters. Based on these studies, appropriate empirical formulas were proposed, and based on the correlation of macroscopic and microscopic parameters, a method for calibrating microscopic parameters was presented. This approach uses empirical formulas for macroscopic and microscopic parameters in combination with the constraints imposed by the granular stiffness coefficient to calibrate granular parameters. This study provides a systematic process framework for the calibration of microscopic parameters of small particles, standardizing the parameter calibration process and improving both efficiency and quality.
Agreement Between Tele- and Face-to-Face Assessment of Neuromotor Development in High-Risk Children
Authors: Rubio-López Ana Isabel , Valenza Marie Carmen , Raya-Benítez Julia , Valenza-Peña Geraldine , Cabrera-Martos Irene , López-López Laura , Benítez-Feliponi Ángela
Published: January 2025

Background: Early interventions in high-risk children seek to improve prognosis, minimize developmental delays, and prevent functional deterioration. The objective of this study was to evaluate the level of agreement between the face-to-face assessment and tele-assessment of neuromotor development in high-risk children between 0 and 18 months of age. Methods: Forty-five children at high risk of developmental delays were included in this study (33% female, mean gestational age of 35.31 ± 4.03 weeks). The patients were included in a face-to-face and a tele-assessment using the Alberta Infant Motor Scale (AIMS) and the level of motor evolution (Niveaux d’Évolution Motrice, NEM) assessments. Results: The analysis showed excellent interrater reliability (ρ ≥ 0.99) for the AIMS. The NEM assessment showed almost perfect reliability (kappa ≥ 0.81) for most items. Seven of them showed substantial reliability (kappa = 0.61–0.80), one moderate reliability (kappa = 0.568), and one fair reliability (kappa = 0.338). Conclusions: This study reveals an excellent/substantial interrater reliability for most of the items assessed. The results are promising to increase the accessibility to a clinical diagnosis and a rehabilitation approach to minimize the development of neuromotor delays in children at high risk.
Optimizing Image Feature Extraction with Convolutional Neural Networks for Chicken Meat Detection Applications
Authors: Mjahad Azeddine , Polo-Aguado Antonio , Llorens-Serrano Luis , Rosado-Muñoz Alfredo
Published: January 2025

The food industry continuously prioritizes methods and technologies to ensure product quality and safety. Traditional approaches, which rely on conventional algorithms that utilize predefined features, have exhibited limitations in representing the intricate characteristics of food items. Recently, a significant shift has emerged with the introduction of convolutional neural networks (CNNs). These networks have emerged as powerful and versatile tools for feature extraction, standing out as a preferred choice in the field of deep learning. The main objective of this study is to evaluate the effectiveness of convolutional neural networks (CNNs) when applied to the classification of chicken meat products by comparing different image preprocessing approaches. This study was carried out in three phases. In the first phase, the original images were used without applying traditional filters or color modifications, processing them solely with a CNN. In the second phase, color filters were applied to help separate the images based on their chromatic characteristics, while still using a CNN for processing. Finally, in the third phase, additional filters, such as Histogram of Oriented Gradients (HOG), Local Binary Pattern (LBP), and saliency, were incorporated to extract complementary features from the images, without discontinuing the use of a CNN for processing. Experimental images, sourced from the Pygsa Group databases, underwent preprocessing using these filters before being input into a CNN-based classification architecture. The results show that the developed models outperformed conventional methods, significantly improving the ability to differentiate between chicken meat types, such as yellow wing, white wing, yellow thigh, and white thigh, with the training accuracy reaching 100%. This highlights the potential of CNNs, especially when combined with advanced architectures, for efficient detection and analysis of complex food matrices. In conclusion, these techniques can be applied to food quality control and other detection and analysis domains.
Exploration of the Mountainous Urban Rail Transit Resilience Under Extreme Rainfalls: A Case Study in Chongqing, China
Authors: Liu Chenhui , Su Xue , Wu Zhichun , Zhang Yingjun , Zhou Cuizhu , Wu Xiangguo , Huang Yong
Published: January 2025

Extreme rainfalls could greatly affect operations of urban rail transit systems of mountainous cities, which are prone to have landslides and floods under rainfalls. Therefore, it is essential to assess and enhance the resilience of mountainous urban rail transit networks under heavy rainfalls. Taking the metro network of Chongqing, the largest mountainous city in China, as an example, this study establishes a network topology model to identify the high-risk nodes under rainfalls and find the effective recovery strategies. By introducing the metro ridership and topological shortest distances, a network service efficiency function is developed, and the importance of nodes is quantified using service efficiency index and topological importance index. The resilience assessment model based on service efficiency is constructed using the resilience triangle theory. Additionally, risk levels for landslide and flood-prone areas are classified using the K-means algorithm, based on rainfall, elevation, and slope data, identifying high-risk stations. Finally, the node recovery sequence and strategies for high-risk nodes affected by landslides and floods are examined. The results indicate that in extreme rainfall scenarios, two transfer stations (Daping and Fuhua Road) are among the high-risk landslide stations, while most other nodes have a service efficiency index of less than 0.2. High-risk flood stations are located on non-transfer lines and mostly on metro lines with high traffic flow, with service efficiency index generally high, with some stations, like Bijin Station, exceeding 0.3. When all affected nodes fail, network service efficiency decreases by 84.0% and 75.2% under landslide and flood disasters, respectively. Compared with the random recovery strategy, recovery strategies based on topological importance and service efficiency index, the optimal recovery strategy based on genetic algorithm performs much better.
Quantifying Thermal Discharges from Nuclear Power Plants: A Remote Sensing Analysis of Environmental Function Zones
Authors: Wang Xiang , Su Xiu , Wang Lin , Wang Xinxin , Meng Qinghui , Xu Jin
Published: January 2025

Nuclear energy plays a crucial role in global carbon reduction. However, thermal discharges from nuclear power plants can potentially impact marine ecosystems. This study investigates the long-term thermal impact of the Haiyang Nuclear Power Plant on the adjacent marine environment using a decade-long Landsat thermal infrared dataset. Spatial and temporal patterns of thermal discharge were analyzed, focusing on the temperature difference between intake and outlet water, the warming trend in the thermal mixing zone, and the spatial distribution of the thermal plume. Our results indicate the following: (1) Seasonal Variation in Thermal Discharge: The temperature difference between intake and outlet water exhibited significant seasonal variability, with higher values in winter and lower values in summer. The spatial distribution of the thermal plume was influenced by tidal currents, leading to a cyclical pattern. (2) Long-Term Warming Trend: Prolonged thermal discharge resulted in a notable warming trend in the thermal mixing zone, with an average annual increase of 0.3 °C. This warming effect was most pronounced in winter and least in summer. (3) Spatial Distribution of Thermal Plume: The spatial extent and intensity of the thermal plume varied seasonally. Summer exhibited a larger influence range but with lower temperature rises, while winter showed a smaller influence range but with higher temperature rises. In winter, the 4 °C temperature rise area exceeded the designated environmental functional zone boundary in some instances. These findings provide valuable insights into the thermal impact of nuclear power plants and highlight the importance of considering seasonal variations and long-term monitoring to ensure environmental sustainability.
Linking Error Estimation in Haberman Linking
Authors: Robitzsch Alexander
Published: January 2025

Haberman linking is a widely used method for comparing groups using the two-parameter logistic item response model. However, the traditional Haberman linking approach relies on joint item parameter estimation, which prevents the application of standard M-estimation theory for linking error calculation in the presence of differential item functioning. To address this limitation, a novel pairwise Haberman linking method is introduced. Pairwise Haberman linking aligns with Haberman linking when no items are missing but eliminates the need for joint item parameters, allowing for the use of M-estimation theory in linking error computation. Theoretical derivations and simulation studies show that pairwise Haberman linking delivers reliable statistical inferences for items and persons, particularly in terms of coverage rates. Furthermore, using a bias-corrected linking error is recommended to reduce the influence of sample size on error estimates.
Goodness-of-Fit Test for the Bivariate Negative Binomial Distribution
Authors: Novoa-Muñoz Francisco , Aguirre-González Juan Pablo
Published: January 2025

When modeling real-world data, we face the challenge of determining which probability distribution best represents the data. To address this intricate problem, we rely on goodness-of-fit tests. However, when the data come from a bivariate negative binomial distribution, the literature reveals no existing goodness-of-fit test for this distribution. For this reason, in this article, we propose and study a computationally convenient goodness-of-fit test for the bivariate negative binomial distribution. This test is based on a bootstrap approximation and a parallelization strategy. To this end, we use a reparameterization technique based on the probability generating function and a Cramér-von Mises-type statistic. From the simulation studies, we conclude that the results converge to the established nominal levels as the sample size increases, and in all cases considered, the parametric bootstrap method provides an accurate approximation of the null distribution of the statistic we propose. Additionally, we verify the power of the proposed test, as well as its application to five real datasets. To accelerate the massive computational work, we employ the parallelization strategy that, according to Novoa-Muñoz (2024), was the most efficient among the techniques he analyzed.
On the Asymptotic Expansions of the (p,k)-Analogues of the Gamma Function and Associated Functions
Authors: Burić Tomislav
Published: January 2025

General asymptotic expansion of the (p,k)-gamma function is obtained and various approaches to this expansion are studied. The numerical precision of the derived asymptotic formulas is shown and compared. Results are applied to the analogues of digamma and polygamma functions, and asymptotic expansion of the quotient of two (p,k)-gamma functions is also derived and analyzed. Various examples and application to the k-Pochhammer symbol are presented.
Research on the Thermal Runaway Behavior and Flammability Limits of Sodium-Ion and Lithium-Ion Batteries
Authors: Qi Changbao , Wang Hewu , Li Minghai , Li Cheng , Li Yalun , Shi Chao , Wei Ningning , Wang Yan , Zhang Huipeng
Published: January 2025

Batteries are widely used in energy storage systems (ESS), and thermal runaway in different types of batteries presents varying safety risks. Therefore, comparative research on the thermal runaway behaviors of various batteries is essential. This study investigates the thermal runaway characteristics of sodium-ion batteries (NIBs), lithium iron phosphate batteries (LFP), and lithium-ion batteries with NCM523 and NCM622 cathodes. The experiments were conducted in a nitrogen-filled constant-volume sealed chamber. The results show that the critical surface temperatures at the time of thermal runaway are as follows: LFP (346 °C) > NIBs (292 °C) > NCM523 (290 °C) > NCM622 (281 °C), with LFP batteries exhibiting the highest thermal runaway critical temperature. NIBs have the lowest thermal runaway triggering energy (158 kJ), while LFP has the highest (592.8 kJ). During the thermal runaway of all four battery types, the primary gases produced include carbon dioxide, hydrogen, carbon monoxide, methane, ethylene, propylene, and ethane. For NCM622 and NCM523, carbon monoxide is the dominant combustible gas, with volume fractions of 35% and 29%, respectively. In contrast, hydrogen is the main flammable gas for LFP and NIBs, with volume fractions of 44% and 30%, respectively. Among these, NIBs have the lowest lower flammability limit (LFL), indicating the highest explosion risk. The thermal runaway characteristics of 50 Ah batteries provide valuable insights for battery selection and design in energy storage applications.
Highlighting Wine Labels: A Systematic Literature Review of Dominant Informational Parameters as Communicative Elements
Authors: Anagnostou Eleni , Tsiakis Theodosios , Zervas Ioannis
Published: January 2025

Wine communication management is a continuous effort to deliver a communication framework that is built on many factors such as the terroir, the grape variety, the geographical indication, the geomorphological profile of each wine zone, the producer’s philosophy, the winemaking methods, and finally the general cultural and social contribution. This paper attempts to run a systematic literature review in the field of wine communication focused on wine labels. The research is based on the combined keywords, “wine label” and “wine label communication” on databases in a range between 2010 and 2024. The purpose of this paper is to provide useful insights to researchers, students, and interested parties in the wine industry about the way dominant label information is decoded by consumers. The contribution of this work is to set a specific conceptual framework for wine label information that could be useful in the field of wine communication strategies.
Deep Temporal Clustering of Pathological Gait Patterns in Post-Stroke Patients Using Joint Angle Trajectories: A Cross-Sectional Study
Authors: Kim Gyeongmin , Kim Hyungtai , Kim Yun-Hee , Kim Seung-Jong , Choi Mun-Taek
Published: January 2025

Rehabilitation of gait function in post-stroke hemiplegic patients is critical for improving mobility and quality of life, requiring a comprehensive understanding of individual gait patterns. Previous studies on gait analysis using unsupervised clustering often involve manual feature extraction, which introduces limitations such as low accuracy, low consistency, and potential bias due to human intervention. This cross-sectional study aimed to identify and cluster gait patterns using an end-to-end deep learning approach that autonomously extracts features from joint angle trajectories for a gait cycle, minimizing human intervention. A total of 74 sub-acute post-stroke hemiplegic patients with lower limb impairments were included in the analysis. The dataset comprised 219 sagittal plane joint angle and angular velocity trajectories from the hip, knee, and ankle joints during gait cycles. Deep temporal clustering was employed to cluster them in an end-to-end manner by simultaneously optimizing feature extraction and clustering, with hyperparameter tuning tailored for kinematic gait cycle data. Through this method, six optimal clusters were selected with a silhouette score of 0.2831, which is a relatively higher value compared to other clustering algorithms. To clarify the characteristics of the selected groups, in-depth statistics of spatiotemporal, kinematic, and clinical features are presented in the results. The results demonstrate the effectiveness of end-to-end deep learning-based clustering, yielding significant performance improvements without the need for manual feature extraction. While this study primarily utilizes sagittal plane data, future analysis incorporating coronal and transverse planes as well as muscle activity and gait symmetry could provide a more comprehensive understanding of gait patterns.
The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia
Authors: Doknić Ilija , Mitrović Mirjana , Bukumirić Zoran , Virijević Marijana , Pantić Nikola , Sabljić Nikica , Antić Darko , Bojović Živko
Published: January 2025

Thrombosis is one of the most frequent complications of cancer, with a potential impact on morbidity and mortality, particularly those with acute myeloid leukemia (AML). Therefore, effective thrombosis prevention is a crucial aspect of cancer management. However, preventive measures against thrombosis may carry inherent risks and complications. Consequently, the application of thrombosis prevention should be limited to patients with a reasonable risk of developing thrombosis. This thesis explores the potential of data science (DS) methods for predicting venous thrombosis in patients with acute myeloid leukemia. In order to ascertain which patients are at risk, statistical and machine-learning (ML) algorithms were employed to predict which patients with leukemia will develop thrombosis. Multilayer Perceptron (MLP) was found to be the best fit among the models evaluated, achieving the C statistic of 0.749. We examined which attributes are significant and what role they play in prediction and found six significant parameters: sex of the patient, prior history of thrombotic event, type of therapy, international normalized ratio (INR), Eastern Cooperative Oncology Group (ECOG) performance status, and Hematopoietic Cell Transplantation-specific Comorbidity. These findings suggest that subtle DS techniques can improve the prediction of Thrombosis in AML patients, thereby aiding in individual treatment planning.
Vertebrate TNF Superfamily: Evolution and Functional Insights
Authors: Marín Ignacio
Published: January 2025

This study characterizes the evolution of the tumor necrosis factor superfamily (TNFSF) across vertebrate lineages, both cyclostomes and gnathostomes, by combining sequence similarity and synteny data for the genes from 23 model species. The available evidence supports a simple model in which most of the diversity found in living species can be attributed to the expansion of four genes found in an ancestor of all vertebrates before the first of the genome duplications that occurred in the vertebrate lineages. It is inferred that the ancestor of all cyclostomes possessed only six TNFSF genes. A cyclostome-specific genome triplication had little effect on the total number of these genes. The ancestor of all gnathostomes, due to the effect of a second genome duplication plus additional single-gene duplications, already had 21 TNFSF genes. In several gnathostome lineages, particularly in some tetrapods, the TNF superfamily has significantly contracted due to numerous gene losses. This evolutionary model provides a framework for exploring functional data, showing that the descendants of different ancestral genes have acquired distinct roles, most prominently in the innate and adaptive immune systems, which led to a species-specific refinement of which TNFSF genes were conserved or lost. Several data hitherto difficult to interpret (the interactions of very different TNFSF ligands with the same receptors; the ability of the same ligands to bind alternative receptors, with or without death domains; and the cooperation of different ligands in specific functions) can be explained as consequences of the evolutionary history of the TNF superfamily.
Assessment of the Utility of Selected Inflammatory Markers in Correlation with Magnetic Resonance Enterography (MRE) Findings in the Diagnosis of Crohn’s Disease
Authors: Lorenc-Góra Justyna , Waniczek Dariusz , Czuba Zenon P. , Kryj Mariusz , Lorenc Zbigniew , Muc-Wierzgoń Małgorzata
Published: January 2025

Crohn’s Disease (CD) is a chronic inflammatory bowel disease affecting the gastrointestinal tract. The search continues for new markers for assessing the activity of CD. Among them, pro-inflammatory and anti-inflammatory cytokines appear promising. We performed the analysis of cytokine concentrations in blood serum using the Bio-Plex Multiplex system (Bio-Rad), and their correlations with radiological parameters were assessed by magnetic resonance enterography (MRE), and fecal calprotectin levels were measured quantitatively by ELISA and clinical evaluation according to the Crohn’s Disease Activity Index (CDAI). Our study found that measuring cytokine serum concentrations can be a valuable tool in the diagnosis and treatment of CD. Positive correlations were reported between contrast enhancement on DCE-MRE and the concentrations of PDGF-BB and RANTES. Also, a positive correlation was found between the delayed-phase of DCE and IL-10 concentration, a strong negative correlation between the delayed-phase of DCE and IL-12 concentration, and a strong positive correlation between the delayed-phase of DCE and RANTES concentrations. A strong positive correlation was also observed between the thickness of the intestinal wall on T2-weighted images and RANTES concentration. Therefore, concentrations of PDGF-BB, RANTES, IL-10 and IL-12 are promising markers of CD activity. The study also demonstrated significant correlations between the severity of disease activity assessed by the CDAI and the concentrations of IL-5, IL-8 and IL-9, as well as positive correlations between the levels of fecal calprotectin and the concentrations of IL-1RA and VEGF. Therefore, the levels of IL-5, IL-8, IL-9, VEGF and IL-1RA may be useful markers in the diagnosis and clinical assessment of disease activity.