bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of the international classification of functioning, disability, and health to disability assessment for older people in China
Authors: Zhao Yuanping , Xie Hong , Wang Kun , Liu Shouguo , Yan Juan , Li Jianan
Published: April 2024

Background

In the previous research, the Disability Assessment Scale based on ICF had been constructed for LTC insurance in China. To apply this scale in further studies, it is essential to establish assessment standards for disability levels.

Objective

To establish standardized disability classification criteria and identify the disability statuses and levels in older people.

Methods

This is a cross-sectional study, in which 1,610 older individuals in 15 long-term care institutions in China were assessed by the disability assessment scale based on ICF. Cluster analysis was used for classification of the disability levels. Mean (SD) and median (IQR) were used to describe the scores for each item and each dimension.

Results

The total scores of the disability assessment scale were classified into six disability levels. The overall disability level of the 1,610 participants was moderate-to-severe. The disability in the dimension of “self-care ability and activity” was the most obvious and severe.

Conclusion

The Disability Assessment Scale is capable of identifying disability statuses and levels of older people, and it can serve as a valuable tool for investigating the disabilities among old people and for conducting cross-national comparisons of disability levels.
Criminalised, victimised or other? A reflexive engagement with Queer Criminology utilising a relational pedagogical approach
Authors: Wrigley Liam , Koumentaki Evangelia
Published: April 2024

Queer Criminology is a newfound area of exploration within the discipline of Criminology, which is uniquely positioned to deal with issues regarding crime and victimisation concerning those from the LGBTQIA+ community and gender diverse/minoritized groups. The field of “Queer Criminology” has become vast and expanding, having explored issues of interpersonal, structural and systematic inequality concerning those from the community and beyond. To this end, narratives of victimisation, trauma and injustice have dominated (and limited) understandings of Queer Criminology. Moreover, limited thinking has been attributed within the Scholarship of Teaching and Learning (SOTL), which seeks to understand LGBTQIA+ individuals and groups—beyond binarized thinking of victimhood or criminalised. In this article, we offer the perspectives of two higher education professionals teaching Queer Criminology in a “flipped” classroom environment, which positions the learner as expert within the subject matter and utilises a relational pedagogy lens to do so. We discuss the use of our reflexive practice, as both Feminist Decolonial and Queer Criminologists. The article touches upon trauma informed approaches to teaching Queer Criminology. We offer several steps in building a coalition of learning, which can unpick the potential policy, theory, and practical tensions of teaching Queer Criminological Scholarship.
How traditional Norwegian outdoor activities are changing; a 10-year follow up in relation to sociodemographic factors
Authors: Stenqvist Thomas Birkedal , Bere Elling
Published: April 2024

Introduction

The study aims to evaluate the relationship between sociodemographic factors and changes in Norwegian outdoor activities between 2008 and 2018. Traditional outdoor activities, such as family trips in nature, the gathering of mushrooms and wild berries, and growing one's own plants to eat, are believed to have a positive impact on physical activity levels and health in general.

Method

This study includes repeated cross-sectional surveys conducted in 38 randomly selected schools across two Norwegian counties. In 2008, 1,012 parents of 6th and 7th grade students from 27 schools completed a questionnaire. In 2018, 609 new parents from 25 schools participated. Variables were dichotomized. Descriptive analyses between groups were conducted using chi-square statistics. Binary logistic regression analyses were performed with the three outdoor activities as dependent variables, including year only (model 1), and then also gender, age (continuous), education (own and partners), and household income as independent variables (model 2).

Results

Participation in weekly family trips in nature increased from 22% to 28% (p = 0.002), the OR for year 2018 vs. year 2008 was 1.51. Adjusted for sociodemographic factors, the OR remained stable and significant. Education was the only significant sociodemographic factor (OR = 1.60), indicating the odds of those with a higher education to be 60% higher to engage in weekly family trips in nature. Gathering of wild mushrooms and plants remained stable with time. Being female (OR = 1.44), age (OR = 1.049) and education (OR = 1.49) was related to gathering. An increase in growing plants to eat was observed with an increase from 42% to 51% (p < 0.001), OR = 1.33. However, it did not remain significant in model 2. Education was, in general, positively related to growing food (OR = 1.35).

Conclusion

We observed a positive increase in family trips in nature over the period from 2008 to 2018. Furthermore, elder parents seem to be more involved in the long-rooted traditional Norwegian grow- and gather culture, and a social gradient is apparent as those with higher education do participate more often in traditional outdoor activities.
Dorsal laminectomy for the treatment of lateralised cervical intervertebral disc extrusions in dogs—Prognosis and complications
Authors: Gouveia Diogo , Cherubini Giunio Bruto
Published: April 2024

Objective

Describe the complication rate, expected hospitalization time and prognosis associated with dorsal laminectomy for the treatment of lateralised cervical intervertebral disc extrusion (IVDE) in dogs.

Methods

This is a single-center retrospective case series study. Databases were reviewed from 2012 to 2022 for dogs that had a dorsal laminectomy to treat a lateralised cervical IVDE. Dogs were excluded if additional surgical techniques were performed, or other comorbidities were found on MRI.

Results

Fifty two dogs were included the study. French bulldogs represented 28.8% of the cohort. Patient median age was 6 years and median weight 15 kg. Thirty-five dogs (67.3%) presented clinical signs for <3 days and almost half (44.2%) were ambulatory but presented cervical pain and neurological deficits. Median surgical time was 85 min. Minor intraoperative complications were reported in 22 (42.3%), with hypothermia being the most common. Thirteen (25%) needed revision surgery due to persistent cervical pain with (9/13) or without (4/13) neurological deficits. Re-extrusion or persistent extrusion was found in 92.3% of cases needing surgical revision. Median hospitalization time was 6 days. Forty-seven (90.4%) cases had a good outcome.

Conclusions and clinical significance

Despite the relatively high rate of intraoperative complications and cases needing revision surgery, dorsal laminectomy as surgical treatment for lateralised cervical IVDE is still associated with good long-term prognosis in most of cases. Prognosis is good even when revision surgery is necessary but expected hospitalization time seems to be higher when compared to an alternative surgical technique.
Evaluating Diffusion Models for the Automation of Ultrasonic Nondestructive Evaluation Data Analysis
Authors: Torenvliet Nick , Zelek John
Published: April 2024

We develop decision support and automation for the task of ultrasonic non-destructive evaluation data analysis. First, we develop a probabilistic model for the task and then implement the model as a series of neural networks based on Conditional Score-Based Diffusion and Denoising Diffusion Probabilistic Model architectures. We use the neural networks to generate estimates for peak amplitude response time of flight and perform a series of tests probing their behavior, capacity, and characteristics in terms of the probabilistic model. We train the neural networks on a series of datasets constructed from ultrasonic non-destructive evaluation data acquired during an inspection at a nuclear power generation facility. We modulate the partition classifying nominal and anomalous data in the dataset and observe that the probabilistic model predicts trends in neural network model performance, thereby demonstrating a principled basis for explainability. We improve on previous related work as our methods are self-supervised and require no data annotation or pre-processing, and we train on a per-dataset basis, meaning we do not rely on out-of-distribution generalization. The capacity of the probabilistic model to predict trends in neural network performance, as well as the quality of the estimates sampled from the neural networks, support the development of a technical justification for usage of the method in safety-critical contexts such as nuclear applications. The method may provide a basis or template for extension into similar non-destructive evaluation tasks in other industrial contexts.
CCFNet: Collaborative Cross-Fusion Network for Medical Image Segmentation
Authors: Chen Jialu , Yuan Baohua
Published: April 2024

The Transformer architecture has gained widespread acceptance in image segmentation. However, it sacrifices local feature details and necessitates extensive data for training, posing challenges to its integration into computer-aided medical image segmentation. To address the above challenges, we introduce CCFNet, a collaborative cross-fusion network, which continuously fuses a CNN and Transformer interactively to exploit context dependencies. In particular, when integrating CNN features into Transformer, the correlations between local and global tokens are adaptively fused through collaborative self-attention fusion to minimize the semantic disparity between these two types of features. When integrating Transformer features into the CNN, it uses the spatial feature injector to reduce the spatial information gap between features due to the asymmetry of the extracted features. In addition, CCFNet implements the parallel operation of Transformer and the CNN and independently encodes hierarchical global and local representations when effectively aggregating different features, which can preserve global representations and local features. The experimental findings from two public medical image segmentation datasets reveal that our approach exhibits competitive performance in comparison to current state-of-the-art methods.
Exploring the Relationships between the Enablers and Results Criteria of the EFQM Model 2013 in the Context of the Greek Public Administrative Services
Authors: Mitsiou Dimitra , Zafiropoulos Kostas
Published: April 2024

This study presents a first attempt to apply and validate the European Foundation for Quality Management (EFQM) Model 2013 as a framework in the context of public administrative services in Greece, and to explore the relationships between the model’s enablers and results criteria. The methodological approach adopted was quantitative research with a structured questionnaire, while partial least squares structural equation modeling (PLS-SEM) was applied to validate the model and test the cause–effect relationships between the enablers and results on a national sample of 155 managers. The results confirmed the reliability and validity of the EFQM Model 2013 in the context of this study and revealed significant relationships between the model’s enablers and results. In addition, the empirical findings of this study may improve our understanding of the underlying relationships between the EFQM model criteria, but should not be generalized, as this study only concerned Greek public administrative services. Finally, this study may provide valuable insights to managers and governing bodies responsible for policy-making about the significance and magnitude of the relationships between the enablers and results criteria so that they can develop strategies to improve the operational and strategic performance of the Greek public administrative services.
Observation of Oblique Laser-Supported Detonation Wave Propagating in Atmospheric Air
Authors: Matsui Kohei , Komurasaki Kimiya , Kanda Keisuke , Koizumi Hiroyuki
Published: April 2024

Elucidation of the propagation velocity of a laser-supported detonation (LSD) wave and its propagation mechanism is necessary for various engineering applications. This study was conducted to observe an oblique laser-supported detonation wave off the laser axis. The relation between the local laser intensity and detonation-wave propagation velocity was investigated. For this purpose, the time-space distribution of the laser intensity was measured precisely. The change of the LSD wavefront shape was visualized using an ultrahigh-speed camera. The relation between the local laser intensity and the propagation velocity of the oblique LSD wave measured off the laser axis was found to be identical to the relation between the local laser intensity and the detonation propagation velocity at the laser axis.
Research on the Flow Mechanism of a High-Loading Biomimetic Low-Pressure Turbine Cascade
Authors: Deng Hanliu , Lei Zhijun , Ouyang Xiaoqing , He Yuxiang , Yuan Hang , Li Gang , Zhang Yanfeng , Lu Xingen , Xu Gang
Published: April 2024

The biomimetic turbine has an excellent flow drag reduction ability and wide incidence adaptability, so it has the potential to achieve high efficiency within a wide working range of high-performance variable cycle engines. A biomimetic cascade that can broaden the effective working incidence angles was designed based on a high-loading low-pressure turbine cascade, and its flow mechanism and aerodynamic performance were studied using experimental and numerical methods under the incidences angle (i) of 0° to 15° and Reynolds number of 1.0 × 105. A series of counter rotating vortex pairs induced by the biomimetic cascade bring additional dissipation losses, but it accelerates the energy exchange between the boundary layer and mainstream, enhancing the dissipation of the pressure side leg of horseshoe vortex, and thus suppressing the flow separation and passage vortices. The undulating surface of biomimetic cascades can suppress the expansion of secondary flow in a spanwise direction in the end region, especially for large-scale separation under high incidence conditions. When i < 5°, the loss of biomimetic cascades is slightly higher than that of the original cascades, but the increase is only 0.5%; when i > 5°, the losses of biomimetic cascades are significantly reduced, with a maximum reduction of 70% at i = 15°.
Monitoring and Genetic Characterization of Historical Grapevine Varieties (V. vinifera ssp.) from Styria in Slovenia
Authors: Vršič Stanko , Trapp Oliver , Maul Erika , Röckel Franco , Perko Andrej
Published: April 2024

The aim of this research work was to find historical varieties that existed in this area before phylloxera and to identify them on the basis of historical written sources and genetic analyses. At the beginning of the 19th century, around 300 grape varieties were cultivated in Styria. Between 2020 and 2022, old vineyards were monitored at 115 locations in Styria (between the Mura and Sava rivers) in Slovenia. The directly collected samples (340 grapevine accessions) were determined by molecular analysis with 24 SSR markers. A total of 66 different genotypes were detected. After comparison with the available databases, 29 historical varieties and 37 unknown historical genotypes were identified. Several parameters were calculated to evaluate the usefulness of the selected loci in this work, and a dendrogram representing the genetic similarities between the origins was created using the neighbor-joining method to investigate possible ancestry relationships in the sample set. The most common historical varieties were ‘Belina’ (‘Heunisch weiss’), ‘Vrbovec’ (‘Tantovina Eihenblaetrige’), ‘Ranfol’ (‘Ranfol beli’), and ‘Pelesovna’ (‘Vulpea’). Varieties from the current variety list were also frequently found, such as ‘Frankinja’ (‘Blaufraenkisch’) and ‘Žametovka’ (‘Kavčina črna’). In a few locations, one of the most important red varieties from the beginning of the 20th century was also found in this area (alongside ‘Frankinja’ and ‘Žametovka’), i.e., ‘Vranek’ (‘Zimmettraube balu’). At that time, this variety was planted in multi-variety vineyards and was preserved, but its importance in single-variety vineyards quickly declined due to female flower. In addition, genetic analyses have shown that 37 unknown historical genotypes have been found in this area. These genotypes need to be described ampelographically and technologically evaluated in the future. Most of the vegetative offsprings of these genotypes have already been transferred to the Meranova gene bank, where they can be accurately described ampelographically under the same pedoclimatic conditions.
Synergy between the Waste of Natural Resources and Food Waste Related to Meat Consumption in Romania
Authors: Trasca Teodor Ioan , Ocnean Monica , Gherman Remus , Lile Raul Adrian , Balan Ioana Mihaela , Brad Ioan , Tulcan Camelia , Firu Negoescu Gheorghe Adrian
Published: April 2024

The study examines the dichotomy between individual dietary autonomy and the broader implications of food overconsumption and waste, particularly focusing on meat consumption’s environmental, health, and social equity aspects. In the context of increasing awareness about the negative impacts of excessive meat consumption, this research explores the potential benefits of modest dietary shifts, specifically a reduction in animal product intake, on natural resources and the environment. Utilizing data from international and Romanian sources, including data about meat environmental impacts, in original research, the article analyzes the water, carbon, and land use footprints associated with different types of meat, emphasizing the significant differences between beef, pork, chicken, and sheep meat. The findings highlight that even a small reduction in meat consumption, such as 100 g per week per capita, can lead to substantial decreases in water use, carbon emissions, and land use, underscoring the importance of sustainable eating habits. Moreover, the study explores the potential of plant-based proteins as viable nutritional alternatives that can mitigate environmental footprints and foster global food security. Conclusively, this work advocates for a balanced approach that respects individual choices while promoting collective responsibility towards sustainable consumption patterns, emphasizing the role of scientific research and public awareness in driving positive change in dietary habits for environmental conservation and health benefits.
Synergetic Use of Sentinel-1 and Sentinel-2 Data for Wheat-Crop Height Monitoring Using Machine Learning
Authors: Nduku Lwandile , Munghemezulu Cilence , Mashaba-Munghemezulu Zinhle , Ratshiedana Phathutshedzo Eugene , Sibanda Sipho , Chirima Johannes George
Published: April 2024

Monitoring crop height during different growth stages provides farmers with valuable information important for managing and improving expected yields. The use of synthetic aperture radar Sentinel-1 (S-1) and Optical Sentinel-2 (S-2) satellites provides useful datasets that can assist in monitoring crop development. However, studies exploring synergetic use of SAR S-1 and optical S-2 satellite data for monitoring crop biophysical parameters are limited. We utilized a time-series of monthly S-1 satellite data independently and then used S-1 and S-2 satellite data synergistically to model wheat-crop height in this study. The polarization backscatter bands, S-1 polarization indices, and S-2 spectral indices were computed from the datasets. Optimized Random Forest Regression (RFR), Support Vector Machine Regression (SVMR), Decision Tree Regression (DTR), and Neural Network Regression (NNR) machine-learning algorithms were applied. The findings show that RFR (R2 = 0.56, RMSE = 21.01 cm) and SVM (R2 = 0.58, RMSE = 20.41 cm) produce a low modeling accuracy for crop height estimation with S-1 SAR data. The S-1 and S-2 satellite data fusion experiment had an improvement in accuracy with the RFR (R2 = 0.93 and RMSE = 8.53 cm) model outperforming the SVM (R2 = 0.91 and RMSE = 9.20 cm) and other models. Normalized polarization (Pol) and the radar vegetation index (RVI_S1) were important predictor variables for crop height retrieval compared to other variables with S-1 and S-2 data fusion as input features. The SAR ratio index (SAR RI 2) had a strong positive and significant correlation (r = 0.94; p < 0.05) with crop height amongst the predictor variables. The spatial distribution maps generated in this study show the viability of data fusion to produce accurate crop height variability maps with machine-learning algorithms. These results demonstrate that both RFR and SVM can be used to quantify crop height during the growing stages. Furthermore, findings show that data fusion improves model performance significantly. The framework from this study can be used as a tool to retrieve other wheat biophysical variables and support decision making for different crops.
Leveraging Hyperspectral Images for Accurate Insect Classification with a Novel Two-Branch Self-Correlation Approach
Authors: Tan Siqiao , Hu Shuzhen , He Shaofang , Zhu Lei , Qian Yanlin , Deng Yangjun
Published: April 2024

Insect recognition, crucial for agriculture and ecology studies, benefits from advancements in RGB image-based deep learning, yet still confronts accuracy challenges. To address this gap, the HI30 dataset is introduced, comprising 2115 hyperspectral images across 30 insect categories, which offers richer information than RGB data for enhancing classification accuracy. To effectively harness this dataset, this study presents the Two-Branch Self-Correlation Network (TBSCN), a novel approach that combines spectrum correlation and random patch correlation branches to exploit both spectral and spatial information. The effectiveness of the HI30 and TBSCN is demonstrated through comprehensive testing. Notably, while ImageNet-pre-trained networks adapted to hyperspectral data achieved an 81.32% accuracy, models developed from scratch with the HI30 dataset saw a substantial 9% increase in performance. Furthermore, applying TBSCN to hyperspectral data raised the accuracy to 93.96%. Extensive testing confirms the superiority of hyperspectral data and validates TBSCN’s efficacy and robustness, significantly advancing insect classification and demonstrating these tools’ potential to enhance precision and reliability.
Rice Counting and Localization in Unmanned Aerial Vehicle Imagery Using Enhanced Feature Fusion
Authors: Yao Mingwei , Li Wei , Chen Li , Zou Haojie , Zhang Rui , Qiu Zijie , Yang Sha , Shen Yue
Published: April 2024

In rice cultivation and breeding, obtaining accurate information on the quantity and spatial distribution of rice plants is crucial. However, traditional field sampling methods can only provide rough estimates of the plant count and fail to capture precise plant locations. To address these problems, this paper proposes P2PNet-EFF for the counting and localization of rice plants. Firstly, through the introduction of the enhanced feature fusion (EFF), the model improves its ability to integrate deep semantic information while preserving shallow spatial details. This allows the model to holistically analyze the morphology of plants rather than focusing solely on their central points, substantially reducing errors caused by leaf overlap. Secondly, by integrating efficient multi-scale attention (EMA) into the backbone, the model enhances its feature extraction capabilities and suppresses interference from similar backgrounds. Finally, to evaluate the effectiveness of the P2PNet-EFF method, we introduce the URCAL dataset for rice counting and localization, gathered using UAV. This dataset consists of 365 high-resolution images and 173,352 point annotations. Experimental results on the URCAL demonstrate that the proposed method achieves a 34.87% reduction in MAE and a 28.19% reduction in RMSE compared to the original P2PNet while increasing R2 by 3.03%. Furthermore, we conducted extensive experiments on three frequently used plant counting datasets. The results demonstrate the excellent performance of the proposed method.
Stability Evaluation for Main Quality Traits of Soybean in the Northeast and Huang-Huai-Hai Regions
Authors: Wang Jiajia , Hong Huilong , Yan Xiaojuan , Nan Jing , Lu Qian , Gu Yongzhe , Qiu Lijuan
Published: April 2024

The content of protein and oil in soybeans is an important trait for evaluating quality and is regulated by genetic and environmental factors, lacking comprehensive identification under a variety of ecological conditions. Therefore, evaluating the stability of soybean quality traits under different environmental conditions has great significance for various applications. In this study, we compare 150 soybean varieties from Northeast China (Group A and Group B) and the Huang-Huai-Hai region (Group C). As the release time progressed, the oil content in the soybean varieties showed an upward trend in both Northeast China and the Huang-Huai-Hai region, while the protein content showed a downward trend. Additionally, the oil contents were negatively correlated with the protein contents and the sum of protein and oil contents, while the protein contents were positively correlated with the sum of protein and oil contents, with the correlation becoming stronger as the latitude decreased. Moreover, there were obvious variations in quality stability among different varieties. Hefeng 45, Jilinxiaolidou 4, and Zhonghuang 19 had relatively high protein contents and exhibited good stability across different environments, while Kenjiandou 25, Changnong 17, Dongnong 46, Kennong 17, Liaodou 14, and GR8836 had relatively high oil contents with good stability performance in varying environments.
Broiler Spaghetti Meat Abnormalities: Muscle Characteristics and Metabolomic Profiles
Authors: Wu Teng , Liu Pingping , Wu Jia , Jiang Youluan , Zhou Ning , Zhang Yang , Xu Qi , Zhang Yu
Published: April 2024

Spaghetti meat (SM) is a newly identified muscle abnormality that significantly affects modern broiler chickens, consequently exerting a substantial economic impact on the poultry industry worldwide. However, investigations into the meat quality and the underlying causative factors of SM in broilers remain limited. Therefore, this study was undertaken to systematically evaluate meat quality and muscle fiber characteristics of SM-affected meat. To elucidate the disparities between SM-affected and normal (NO) muscles in broiler chickens reared under identical conditions, we selected 18 SM-affected breast tissues and 18 NO breast tissues from 200 broiler chickens raised according to commercial standards under the same conditions for our study. The results showed that compared with the NO group, the muscle surface of the SM group lost integrity, similar to strip and paste. The brightness and yellowness values were significantly higher than those of the NO group. On the contrary, the shear force and protein were significantly lower in the SM group. Microscopic examination revealed that the muscle fibers in the SM group were lysed, necrotic, and separated from each other, with a large number of neutrophils diffusely distributed on the sarcolemma and endometrium. Thirty-five significantly different metabolites were observed in the breast muscles between both groups. Among them, the top differential metabolites—14,15-DiHETrE, isotretinoin, L-malic acid, and acetylcysteine—were mainly enriched in lipid metabolism and inflammatory pathways, including linoleic acid, arachidonic acid, phenylalanine, and histidine metabolism. Overall, these findings not only offer new insights into the meat quality and fiber traits of SM but also contribute to the understanding of potential mechanisms and nutritional regulators for SM myopathy.
Stability and Detection Limit of Avian Influenza, Newcastle Disease Virus, and African Horse Sickness Virus on Flinders Technology Associates Card by Conventional Polymerase Chain Reaction
Authors: Taesuji Machimaporn , Rattanamas Khate , Yim Peter B. , Ruenphet Sakchai
Published: April 2024

The Flinders Technology Associates (FTA) card, a cotton-based cellulose membrane impregnated with a chaotropic agent, effectively inactivates infectious microorganisms, lyses cellular material, and fixes nucleic acid. The aim of this study is to assess the stability and detection limit of various RNA viruses, especially the avian influenza virus (AIV), Newcastle disease virus (NDV), and African horse sickness virus (AHSV), on the FTA card, which could significantly impact virus storage and transport practices. To achieve this, each virus dilution was inoculated onto an FTA card and stored at room temperature in plastic bags for durations ranging from 1 week to 6 months. Following storage, the target genome was detected using conventional reverse transcription polymerase chain reaction. The present study demonstrated that the detection limit of AIV ranged from 1.17 to 6.17 EID50 values over durations ranging from 1 week to 5 months, while for NDV, it ranged from 2.83 to 5.83 ELD50 over the same duration. Additionally, the detection limit of AHSV was determined as 4.01 PFU for both 1 and 2 weeks, respectively. Based on the demonstrated effectiveness, stability, and safety implications observed in the study, FTA cards are recommended for virus storage and transport, thus facilitating the molecular detection and identification of RNA viral pathogens.
Presence of Gastric Ulcers in Horses Used for Historical Races in Italy
Authors: Busechian Sara , Orvieto Simona , Nocera Irene , Rueca Fabrizio
Published: April 2024

Equine Gastric Ulcers Syndrome (EGUS) is a worldwide disease present in equids of different breeds, activity levels, and age groups. It is divided into two different illnesses: Equine Squamous Gastric Disease (ESGD) affecting the squamous mucosa and Equine Glandular Gastric Disease (EGGD) affecting the glandular mucosa. The historical horserace is a traditional competition that is common in Italy. They can be divided into two different types: speed races and jousting tournaments. Anglo-Arabians and Thoroughbreds are used for the two competitions with training and management systems similar to those used in races performed on a racetrack. The aim of this study was to determine the prevalence of ESGD and EGGD in horses used for historical horseracing and evaluate the differences in the presence of the diseases in animals of the two different breeds used for the two types of competition. A cohort of 73 horses was enrolled in this study, which were stabled in 10 training facilities and performed two jousting tournaments and one speed race. An ESGD at least of grade 2 was found in 88% of horses with all degrees of severity seen; EGGD was diagnosed in 45% of animals. In this cohort of horses, the presence and severity of ESGD and EGGD are similar to that in reports in racehorses performing on racetracks. Anglo-Arabians used for speed races are more affected by ESGD and EGGD, which is probably because they are involved in a higher number of races and travel more during the year compared to Thoroughbreds used for jousting competitions.
The Effect of Colostrum Supplementation during the First 5 Days of Life on Calf Health, Enteric Pathogen Shedding, and Immunological Response
Authors: Berge Anna Catharina , Kolkman Iris , Penterman Pleun , Vertenten Geert
Published: April 2024

The objective of this dairy farm study was to investigate the preweaning health, performance, immunity, and enteric pathogen shedding in calves supplemented with colostrum during five days after birth compared to calves not supplemented with colostrum. The colostrum supplementation was the previously frozen colostrum added to the milk replacer from day 2–5 given to 39 calves, and 36 Control calves received a milk-derived supplement. There was no significant difference in preweaning weight gain between the treatment groups. Serum samples collected on days 2, 7, 14, and 21 indicated that total and antigen-specific IgG levels against rotavirus, coronavirus, and E. coli F5 were not significantly different between the treatment groups. Fecal samples taken on days 7, 14, and 21 were all negative for coronavirus and E. coli F5, whereas there were low levels of Cryptosporidia and a trend for low levels of rotavirus on day 14 in colostrum-supplemented compared to Control calves. Respiratory clinical signs, depressed attitude and body temperature tended to be reduced in colostrum-supplemented compared to Control calves. This study shows that, even in calves with good colostrum status and high plane of nutrition, there can be benefits of post-closure colostrum supplementation including reduced Cryptosporidia and rotavirus shedding and reduced respiratory disease.
Influence of Biochar Application Rate, Particle Size, and Pyrolysis Temperature on Hydrophysical Parameters of Sandy Soil
Authors: Vitková Justína , Šurda Peter , Lichner Ľubomír , Výleta Roman
Published: April 2024

Sandy areas occupy a huge amount of land worldwide, but due to their characteristics, they are mostly low in fertility and low in organic matter. Sandy soils have coarse texture, high saturated hydraulic conductivity, low soil organic carbon, and poor aggregate stability and water retention capacity; therefore, it is necessary to add organic additives to them. The objective of this study was to assess the effect of particle size and application rate of biochar (BC) produced under different pyrolysis temperatures on the porosity P, available water content for plants AWC, saturated hydraulic conductivity Ks, and contact angle CA of sandy soil. The results show that an application of BC to sandy soil significantly increased AWC by 76–168%, CA by 252–489%, P by 6–11%, and significantly reduced Ks by 37–90%. Statistical analysis of the effect of three examined factors (BC application rate, particle size, and pyrolysis temperature) revealed that P, AWC, and Ks were affected by all three factors, while CA was affected only by BC application rate and particle size. The statistically significant interaction between the two factors was found for P (temperature × rate and size × rate), AWC (temperature × size), and Ks (size × rate). Statistically significant interaction among the three factors was not found for any hydrophysical parameter. The application of BC to amend sandy soils can be seen as a strategy to mitigate drought conditions and to reduce the amount of irrigation, saving water. Further investigations are needed with regard to the BC application under climate conditions with long hot and dry periods, which may promote soil water repellency.
Study of the Methane Adsorption Characteristics in a Deep Coal Reservoir Using Adsorption Potential Theory
Authors: Long Zhengjiang , Zhu Xushuang , Liao Junqiao , Ye Dingnan , Chen Run
Published: April 2024

The gas adsorption characteristics in deep coal reservoirs are the focus of deep coalbed methane geology research. In order to reveal the adsorption characteristics in deep coal reservoirs and quantitatively characterize the amount of adsorbed methane in the deep coal seams, four coals were collected from the Permian Longtan Formation in southern Sichuan Province. Methane isothermal adsorption tests were carried out on the collected coal samples at 30 °C. The adsorption characteristic curve was established based on the data of the isothermal adsorption. The adsorption potential theory was used to predict the isothermal adsorption curves under different temperatures and the evolutionary relationship between the methane adsorption capacity and the coal seam burial depth in the C17 and C25 coal seams of the Permian in southern Sichuan Province, China. The results showed that the methane isothermal adsorption curve at 30 °C belonged to the Type I isotherm adsorption curve. The methane isothermal adsorption curves for various samples at 45 °C, 60 °C, and 75 °C were predicted based on the uniqueness of the methane adsorption characteristic curve. The amount of adsorbed gas in deep coal reservoirs was comprehensively controlled by pressure and temperature. The pressure showed a positive effect on the amount of methane adsorbed, while the temperature showed a negative effect on the adsorption of methane. The negative effect of temperature became more significant with the increase in pressure. The results of the study are beneficial for further promoting the exploration and development of deep coalbed methane in the southern Sichuan Province of China.
Assessment of the Performance of Oat Flakes and Pumpkin Seed Powders in Gluten-Free Dough and Bread Based on Rice Flour
Authors: Banu Iuliana , Aprodu Iuliana
Published: April 2024

The performance of oat flake flour and pumpkin seed protein powder in gluten-free dough and bread based on rice flours was assessed in this study. After studying the thermo-mechanical properties of the rice and oat flake flours at different water absorption capacities, two composite flours obtained by mixing the rice and oat flake flours with and without pumpkin seed protein powder were investigated. Regardless of the sample subjected to thermo-mechanical behavior analysis, the increase in the water adsorption level when preparing the dough caused a decrease in protein weakening, as well as starch retrogradation. The dough with added oat flake flour had a higher resistance to kneading compared to the control prepared with rice flour. Additionally, the substitution of rice flour with oat flake flour produced important changes in the gelatinization temperature, which decreases from 84–86 °C to 76 °C. The addition of pumpkin seed protein powder increased the maximum torque during kneading at 30 °C and decreased breakdown and starch retrogradation compared to the composite flour based on rice flour and oat flake flour. The higher amount of water used for preparing the dough improved the specific volume and crumb firmness of the bread prepared with the pumpkin seed protein-enriched composite flours.
Remote Sensing-Enabled Urban Growth Simulation Overlaid with AHP-GIS-Based Urban Land Suitability for Potential Development in Mersin Metropolitan Area, Türkiye
Authors: Sahin Ezgi , Iban Muzaffer Can , Bilgilioglu Suleyman Sefa
Published: April 2024

This study delves into the integration of analytic hierarchy process (AHP) and geographic information system (GIS) techniques to identify suitable areas for urban development in six districts within the Mersin Metropolitan Area of Turkey. The specific aim is to generate an urban land use suitability map, in order to facilitate informed decision-making for urban development. Drawing on open Landsat satellite imagery and employing the random forest (RF) algorithm, the study spans a fifteen-year period, over which land use/land cover (LULC) changes are measured. Furthermore, a novel approach is introduced by incorporating the urban land use suitability map into an urban growth simulation model developed using a logistic regression (LR) algorithm. This simulation forecasts urban growth up to 2027, enabling planners to evaluate potential development areas against suitability criteria. Findings reveal spatial patterns of land suitability and projected urban growth, aiding decision-makers in selecting optimal areas for development while preserving ecological integrity. Notably, the study emphasizes the importance of considering various factors such as topography, accessibility, soil capability, and geology in urban planning processes. The results showcase significant proportions of the study area as being moderately to highly suitable for urban development, alongside notable shifts in LULC classes over the years. Additionally, the overlay analysis of simulated urban growth and land suitability maps highlights areas with contrasting suitability levels, offering valuable insights for sustainable urban growth strategies. By overlaying the urban land suitability map with a simulated LULC map for 2027, it is revealed that 2247.3 hectares of potential new urbanization areas demonstrate very high suitability for settlement, while 7440.12 hectares exhibit very low suitability. By providing a comprehensive framework for assessing urban land suitability and projecting future growth, this research offers practical implications for policymakers, urban planners, and stakeholders involved in Mersin’s development trajectory, ultimately fostering more sustainable and resilient urban landscapes.
The Implementation of AFM-Based Nanoscale Diagnostic Methods in the Investigation of the Degradation Process of Bacteriostatic Acrylic Film with Silver Nanoparticles
Authors: Sikora Andrzej , Witos Łukasz
Published: April 2024

In this paper, a custom-tailored investigation protocol aimed at the tests of the resistance of bacteriostatic acrylic-based film containing silver nanoparticles is presented. As hospital appliance applications were considered, it was necessary to provide a unique approach, enabling specific media exposure and utilizing high-sensitivity measurement methods to observe fine indications of material wear. Due to the presence of nanoparticles in the tested film, nanometer-resolution surface imaging is necessary. Therefore, the main source of information about its degradation process is atomic force microscopy (AFM) measurements. This particular tool is an appreciated source of information, providing quantitative data about both morphological and mechanical changes in the properties of the surface. Using such an approach, supported by standard diagnostic methods, such as colorimetry and wettability angle determination, it was possible to enable insights into the way the bacteriostatic film deteriorates and evaluate its usefulness in medical appliance applications. Further tests of various films developed by companies can be performed using the described protocol to determine the lifetime of certain products. This paper reveals the company’s practical utilization of both standardized and novel test techniques in the evaluation of new products.
Characteristic Investigation of a Novel Aircraft SOFC/GT Hybrid System under Varying Operational Parameters
Authors: Mashamba Takudzwa Martin , Wen Jiale , Spataru Catalina , Weng Yiwu , Lv Xiaojing
Published: April 2024

In this study, the implementation of a solid oxide fuel cell–gas turbine hybrid engine for primary propulsion and electric power generation in aircraft is investigated. The following three parameters, which are crucial in attaining optimal performance at any point in the flight profile, were identified: the oxygen-to-carbon ratio of the catalytic partial oxidation reformer, the fuel utilization factor of the fuel cell, and the airflow split ratio at the outlet of the high-pressure compressor. The study assesses the impact of varying these parameters within specified ranges on the performance of the hybrid system. At the design point, the system yielded a total power output of 1.96 MW, with 102.5 kW of electric power coming from the fuel cell and 7.9 kN (1.86 MW) of thrust power coming from the gas turbine. The results indicate that varying the oxygen-to-carbon ratio affected the fuel cell’s fuel utilization and resulted in a slight decrease in gas turbine thrust. The fuel utilization factor primarily affected the power output of the fuel cell stack, with a minor impact on thrust. Notably, varying the airflow split ratio showed the most significant influence on the overall system performance. This analysis provides insights into the system’s sensitivities and contributes to the development of more sustainable aircraft energy systems.
Chosen Biochemical and Physical Properties of Beetroot Treated with Ultrasound and Dried with Infrared–Hot Air Method
Authors: Nowacka Malgorzata , Rybak Katarzyna , Trusinska Magdalena , Karwacka Magdalena , Matys Aleksandra , Pobiega Katarzyna , Witrowa-Rajchert Dorota
Published: April 2024

Beetroots are sources of bioactive compounds and valued pigments such as betalains. The purpose of this study was to determine the influence of ultrasound pretreatment on the beetroot infrared–hot air drying process and the functional properties of the obtained product. In this study, there were two used frequencies—21 and 35 kHz—and three different periods of time—10, 20, and 30 min. Since beetroots are usually subjected to thermal treatment, another aim was to examine the influence of blanching and soaking on the beetroot tissue properties in order to compare traditional and ultrasound-treated methods. As a result of this study, it was found that ultrasound pretreatment changed the dry matter content, water activity, thickness of the tissue, total color difference, and contents of betanin pigments in the beetroot. It was revealed that the drying process is shorter after ultrasound pretreatment using a 21 kHz frequency. Drying tissue exposed to ultrasounds showed a significant increase in the L* parameter; however, the decrease in the a* parameter was caused by a reduced content of betalain pigments. Taking into consideration parameters important from a technological point of view, it was found that the best condition for beetroot pretreatment is 20 min treatment, regardless of the frequency used.
P D N: A Priori Dictionary Network for Fashion Parsing
Authors: Hou Jue , Lu Yinwen , Yang Yang , Liu Zheng
Published: April 2024

The task of fashion parsing aims to assign pixel-level labels to clothing targets; thereby, parsing models are required to have good contextual recognition ability. However, the shapes of clothing components are complex, and the types are difficult to distinguish. Recent solutions focus on improving datasets and supplying abundant priori information, but the utilization of features by more efficient methods is rarely explored. In this paper, we propose a multi-scale fashion parsing model called the Priori Dictionary Network (PDN), which includes a priori attention module and a multi-scale backbone. The priori attention module extracts high dimensional features from our designed clothing average template as a priori information dictionary (priori dictionary, PD), and the PD is utilized to activate the feature maps of a CNN from a multi-scale attention mechanism. The backbone is derived from classical models, and five side paths are designed to leverage the richer features of local and global contextual representations. To measure the performance of our method, we evaluated the model on four public datasets, the CFPD, UTFR-SBD3, ModaNet and LIP, and the experimental results show that our model stands out from other State of the Art in all four datasets. This method can assist with the labeling problem of clothing datasets.
Soil and Sediments in Natural Underground Ecosystems as a Source of Culturable Micromycetes: A Case Study of the Brestovská Cave (Western Tatras, Slovakia)
Authors: Ogórek Rafał , Borzęcka Justyna , Spychała Klaudyna , Piecuch Agata , Suchodolski Jakub
Published: April 2024

Soil and sediment host microorganisms are able to survive in extremely resource-limited environments. Therefore, more and more attention is being paid to cave sediments as a reservoir of microbiota. The aim of this study is the speleomycological evaluation of the culturable soil and sediment fungal communities in the Brestovská Cave. To explore the origins of fungi, speleomycological studies were conducted both inside and outside the cave under investigation. Additionally, two incubation temperatures (5 and 24 °C) were used to increase the species spectrum of isolated fungi. To achieve the most accurate species identification, we combined an assessment of morphological characteristics of the isolates with molecular sequencing (ITS, internal transcribed spacer). Twenty different species were found and the most frequent was Penicillium commune, followed by Trichosporiella cerebriformis and Pseudogymnoascus pannorum. To our knowledge, our study has enabled the first identification of fungal species such as Penicillium swiecicki, Cephalotrichum hinnuleum, Cosmpospora berkeleyana, Lecythophora hoffmannii, Ambomucor seriatoinflatus, and Mortierella minutissima in underground sites. Our data showed that the abundance and composition of the fungal community varied between the indoor and outdoor samples and thus from the entrance and less visited sites deeper in the cave.